diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,88210 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999532239340373, + "eval_steps": 500, + "global_step": 14697, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.267573696145125e-08, + "loss": 3.0737, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4.53514739229025e-08, + "loss": 4.1281, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 6.802721088435375e-08, + "loss": 3.818, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 9.0702947845805e-08, + "loss": 3.0824, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 1.1337868480725624e-07, + "loss": 3.1784, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 1.360544217687075e-07, + "loss": 2.6682, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 1.5873015873015874e-07, + "loss": 4.1884, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 1.8140589569161e-07, + "loss": 3.8919, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 2.0408163265306121e-07, + "loss": 2.5557, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 2.267573696145125e-07, + "loss": 3.3745, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 2.4943310657596374e-07, + "loss": 3.1709, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 2.72108843537415e-07, + "loss": 2.8285, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 2.9478458049886624e-07, + "loss": 3.2384, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 3.174603174603175e-07, + "loss": 3.1554, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 3.401360544217688e-07, + "loss": 3.5385, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 3.6281179138322e-07, + "loss": 4.0767, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 3.8548752834467123e-07, + "loss": 2.6847, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 4.0816326530612243e-07, + "loss": 3.801, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 4.3083900226757373e-07, + "loss": 2.619, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 4.53514739229025e-07, + "loss": 4.0516, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 4.7619047619047623e-07, + "loss": 3.5127, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 4.988662131519275e-07, + "loss": 3.5965, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 5.215419501133788e-07, + "loss": 3.3556, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 5.4421768707483e-07, + "loss": 3.3882, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 5.668934240362813e-07, + "loss": 2.8489, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 5.895691609977325e-07, + "loss": 3.0267, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 6.122448979591837e-07, + "loss": 3.3852, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 6.34920634920635e-07, + "loss": 3.0874, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 6.575963718820862e-07, + "loss": 2.9957, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 6.802721088435376e-07, + "loss": 3.5983, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 7.029478458049888e-07, + "loss": 2.8416, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 7.2562358276644e-07, + "loss": 3.2739, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 7.482993197278913e-07, + "loss": 3.3285, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 7.709750566893425e-07, + "loss": 2.9394, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 7.936507936507937e-07, + "loss": 2.5542, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 8.163265306122449e-07, + "loss": 3.2555, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 8.390022675736963e-07, + "loss": 2.7448, + "step": 37 + }, + { + "epoch": 0.0, + "learning_rate": 8.616780045351475e-07, + "loss": 2.7339, + "step": 38 + }, + { + "epoch": 0.0, + "learning_rate": 8.843537414965988e-07, + "loss": 3.0543, + "step": 39 + }, + { + "epoch": 0.0, + "learning_rate": 9.0702947845805e-07, + "loss": 3.3138, + "step": 40 + }, + { + "epoch": 0.0, + "learning_rate": 9.297052154195012e-07, + "loss": 3.0896, + "step": 41 + }, + { + "epoch": 0.0, + "learning_rate": 9.523809523809525e-07, + "loss": 2.4997, + "step": 42 + }, + { + "epoch": 0.0, + "learning_rate": 9.750566893424039e-07, + "loss": 2.734, + "step": 43 + }, + { + "epoch": 0.0, + "learning_rate": 9.97732426303855e-07, + "loss": 2.2318, + "step": 44 + }, + { + "epoch": 0.0, + "learning_rate": 1.0204081632653063e-06, + "loss": 2.4609, + "step": 45 + }, + { + "epoch": 0.0, + "learning_rate": 1.0430839002267576e-06, + "loss": 2.0296, + "step": 46 + }, + { + "epoch": 0.0, + "learning_rate": 1.0657596371882086e-06, + "loss": 2.4072, + "step": 47 + }, + { + "epoch": 0.0, + "learning_rate": 1.08843537414966e-06, + "loss": 1.8861, + "step": 48 + }, + { + "epoch": 0.0, + "learning_rate": 1.111111111111111e-06, + "loss": 1.6955, + "step": 49 + }, + { + "epoch": 0.0, + "learning_rate": 1.1337868480725626e-06, + "loss": 1.6461, + "step": 50 + }, + { + "epoch": 0.0, + "learning_rate": 1.1564625850340136e-06, + "loss": 2.1036, + "step": 51 + }, + { + "epoch": 0.0, + "learning_rate": 1.179138321995465e-06, + "loss": 1.6062, + "step": 52 + }, + { + "epoch": 0.0, + "learning_rate": 1.2018140589569162e-06, + "loss": 1.8117, + "step": 53 + }, + { + "epoch": 0.0, + "learning_rate": 1.2244897959183673e-06, + "loss": 1.5118, + "step": 54 + }, + { + "epoch": 0.0, + "learning_rate": 1.2471655328798186e-06, + "loss": 1.6371, + "step": 55 + }, + { + "epoch": 0.0, + "learning_rate": 1.26984126984127e-06, + "loss": 1.6709, + "step": 56 + }, + { + "epoch": 0.0, + "learning_rate": 1.2925170068027212e-06, + "loss": 1.8728, + "step": 57 + }, + { + "epoch": 0.0, + "learning_rate": 1.3151927437641723e-06, + "loss": 1.6665, + "step": 58 + }, + { + "epoch": 0.0, + "learning_rate": 1.3378684807256236e-06, + "loss": 1.7888, + "step": 59 + }, + { + "epoch": 0.0, + "learning_rate": 1.3605442176870751e-06, + "loss": 1.8609, + "step": 60 + }, + { + "epoch": 0.0, + "learning_rate": 1.3832199546485262e-06, + "loss": 1.5921, + "step": 61 + }, + { + "epoch": 0.0, + "learning_rate": 1.4058956916099775e-06, + "loss": 1.5959, + "step": 62 + }, + { + "epoch": 0.0, + "learning_rate": 1.4285714285714286e-06, + "loss": 1.4104, + "step": 63 + }, + { + "epoch": 0.0, + "learning_rate": 1.45124716553288e-06, + "loss": 1.4761, + "step": 64 + }, + { + "epoch": 0.0, + "learning_rate": 1.473922902494331e-06, + "loss": 1.46, + "step": 65 + }, + { + "epoch": 0.0, + "learning_rate": 1.4965986394557825e-06, + "loss": 1.5858, + "step": 66 + }, + { + "epoch": 0.0, + "learning_rate": 1.5192743764172338e-06, + "loss": 1.4599, + "step": 67 + }, + { + "epoch": 0.0, + "learning_rate": 1.541950113378685e-06, + "loss": 1.4588, + "step": 68 + }, + { + "epoch": 0.0, + "learning_rate": 1.5646258503401362e-06, + "loss": 1.701, + "step": 69 + }, + { + "epoch": 0.0, + "learning_rate": 1.5873015873015873e-06, + "loss": 1.4829, + "step": 70 + }, + { + "epoch": 0.0, + "learning_rate": 1.6099773242630386e-06, + "loss": 1.2778, + "step": 71 + }, + { + "epoch": 0.0, + "learning_rate": 1.6326530612244897e-06, + "loss": 1.3621, + "step": 72 + }, + { + "epoch": 0.0, + "learning_rate": 1.6553287981859412e-06, + "loss": 1.2578, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 1.6780045351473925e-06, + "loss": 1.2194, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 1.7006802721088436e-06, + "loss": 0.9722, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 1.723356009070295e-06, + "loss": 1.0816, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 1.746031746031746e-06, + "loss": 1.2608, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 1.7687074829931975e-06, + "loss": 1.2289, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 1.7913832199546488e-06, + "loss": 1.0393, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 1.8140589569161e-06, + "loss": 1.2266, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 1.8367346938775512e-06, + "loss": 1.302, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 1.8594104308390023e-06, + "loss": 1.0839, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 1.8820861678004538e-06, + "loss": 1.0299, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 1.904761904761905e-06, + "loss": 1.1148, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 1.927437641723356e-06, + "loss": 0.9842, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 1.9501133786848077e-06, + "loss": 1.2896, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 1.9727891156462586e-06, + "loss": 1.2472, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 1.99546485260771e-06, + "loss": 1.4597, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 2.018140589569161e-06, + "loss": 1.5361, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 2.0408163265306125e-06, + "loss": 1.1304, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 2.0634920634920634e-06, + "loss": 1.1436, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 2.086167800453515e-06, + "loss": 1.0142, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 2.1088435374149664e-06, + "loss": 0.9359, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 2.1315192743764173e-06, + "loss": 0.8073, + "step": 94 + }, + { + "epoch": 0.01, + "learning_rate": 2.1541950113378686e-06, + "loss": 1.2182, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 2.17687074829932e-06, + "loss": 1.0334, + "step": 96 + }, + { + "epoch": 0.01, + "learning_rate": 2.199546485260771e-06, + "loss": 1.1066, + "step": 97 + }, + { + "epoch": 0.01, + "learning_rate": 2.222222222222222e-06, + "loss": 0.9271, + "step": 98 + }, + { + "epoch": 0.01, + "learning_rate": 2.244897959183674e-06, + "loss": 1.4945, + "step": 99 + }, + { + "epoch": 0.01, + "learning_rate": 2.267573696145125e-06, + "loss": 1.2441, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 2.290249433106576e-06, + "loss": 1.037, + "step": 101 + }, + { + "epoch": 0.01, + "learning_rate": 2.3129251700680273e-06, + "loss": 0.9802, + "step": 102 + }, + { + "epoch": 0.01, + "learning_rate": 2.3356009070294786e-06, + "loss": 1.1354, + "step": 103 + }, + { + "epoch": 0.01, + "learning_rate": 2.35827664399093e-06, + "loss": 1.3285, + "step": 104 + }, + { + "epoch": 0.01, + "learning_rate": 2.380952380952381e-06, + "loss": 1.1345, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 2.4036281179138325e-06, + "loss": 0.8447, + "step": 106 + }, + { + "epoch": 0.01, + "learning_rate": 2.426303854875284e-06, + "loss": 1.3145, + "step": 107 + }, + { + "epoch": 0.01, + "learning_rate": 2.4489795918367347e-06, + "loss": 0.8902, + "step": 108 + }, + { + "epoch": 0.01, + "learning_rate": 2.4716553287981864e-06, + "loss": 1.0027, + "step": 109 + }, + { + "epoch": 0.01, + "learning_rate": 2.4943310657596373e-06, + "loss": 0.9319, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 2.5170068027210886e-06, + "loss": 1.4418, + "step": 111 + }, + { + "epoch": 0.01, + "learning_rate": 2.53968253968254e-06, + "loss": 1.1004, + "step": 112 + }, + { + "epoch": 0.01, + "learning_rate": 2.5623582766439916e-06, + "loss": 0.8312, + "step": 113 + }, + { + "epoch": 0.01, + "learning_rate": 2.5850340136054425e-06, + "loss": 1.1035, + "step": 114 + }, + { + "epoch": 0.01, + "learning_rate": 2.6077097505668938e-06, + "loss": 1.6079, + "step": 115 + }, + { + "epoch": 0.01, + "learning_rate": 2.6303854875283447e-06, + "loss": 0.9468, + "step": 116 + }, + { + "epoch": 0.01, + "learning_rate": 2.6530612244897964e-06, + "loss": 1.2445, + "step": 117 + }, + { + "epoch": 0.01, + "learning_rate": 2.6757369614512473e-06, + "loss": 1.2862, + "step": 118 + }, + { + "epoch": 0.01, + "learning_rate": 2.6984126984126986e-06, + "loss": 1.0655, + "step": 119 + }, + { + "epoch": 0.01, + "learning_rate": 2.7210884353741503e-06, + "loss": 1.1146, + "step": 120 + }, + { + "epoch": 0.01, + "learning_rate": 2.743764172335601e-06, + "loss": 1.1339, + "step": 121 + }, + { + "epoch": 0.01, + "learning_rate": 2.7664399092970525e-06, + "loss": 0.9769, + "step": 122 + }, + { + "epoch": 0.01, + "learning_rate": 2.7891156462585034e-06, + "loss": 0.929, + "step": 123 + }, + { + "epoch": 0.01, + "learning_rate": 2.811791383219955e-06, + "loss": 0.8992, + "step": 124 + }, + { + "epoch": 0.01, + "learning_rate": 2.834467120181406e-06, + "loss": 1.4347, + "step": 125 + }, + { + "epoch": 0.01, + "learning_rate": 2.8571428571428573e-06, + "loss": 1.1451, + "step": 126 + }, + { + "epoch": 0.01, + "learning_rate": 2.879818594104309e-06, + "loss": 1.0267, + "step": 127 + }, + { + "epoch": 0.01, + "learning_rate": 2.90249433106576e-06, + "loss": 1.0714, + "step": 128 + }, + { + "epoch": 0.01, + "learning_rate": 2.925170068027211e-06, + "loss": 0.9355, + "step": 129 + }, + { + "epoch": 0.01, + "learning_rate": 2.947845804988662e-06, + "loss": 0.8705, + "step": 130 + }, + { + "epoch": 0.01, + "learning_rate": 2.9705215419501138e-06, + "loss": 0.878, + "step": 131 + }, + { + "epoch": 0.01, + "learning_rate": 2.993197278911565e-06, + "loss": 1.0497, + "step": 132 + }, + { + "epoch": 0.01, + "learning_rate": 3.015873015873016e-06, + "loss": 0.8883, + "step": 133 + }, + { + "epoch": 0.01, + "learning_rate": 3.0385487528344677e-06, + "loss": 1.1595, + "step": 134 + }, + { + "epoch": 0.01, + "learning_rate": 3.0612244897959185e-06, + "loss": 0.8867, + "step": 135 + }, + { + "epoch": 0.01, + "learning_rate": 3.08390022675737e-06, + "loss": 1.2283, + "step": 136 + }, + { + "epoch": 0.01, + "learning_rate": 3.1065759637188207e-06, + "loss": 1.4963, + "step": 137 + }, + { + "epoch": 0.01, + "learning_rate": 3.1292517006802725e-06, + "loss": 0.8936, + "step": 138 + }, + { + "epoch": 0.01, + "learning_rate": 3.1519274376417238e-06, + "loss": 1.0299, + "step": 139 + }, + { + "epoch": 0.01, + "learning_rate": 3.1746031746031746e-06, + "loss": 0.8415, + "step": 140 + }, + { + "epoch": 0.01, + "learning_rate": 3.1972789115646264e-06, + "loss": 1.0461, + "step": 141 + }, + { + "epoch": 0.01, + "learning_rate": 3.2199546485260772e-06, + "loss": 1.0349, + "step": 142 + }, + { + "epoch": 0.01, + "learning_rate": 3.2426303854875285e-06, + "loss": 0.8666, + "step": 143 + }, + { + "epoch": 0.01, + "learning_rate": 3.2653061224489794e-06, + "loss": 1.1409, + "step": 144 + }, + { + "epoch": 0.01, + "learning_rate": 3.287981859410431e-06, + "loss": 1.3864, + "step": 145 + }, + { + "epoch": 0.01, + "learning_rate": 3.3106575963718824e-06, + "loss": 1.0527, + "step": 146 + }, + { + "epoch": 0.01, + "learning_rate": 3.3333333333333333e-06, + "loss": 1.0451, + "step": 147 + }, + { + "epoch": 0.01, + "learning_rate": 3.356009070294785e-06, + "loss": 1.2838, + "step": 148 + }, + { + "epoch": 0.01, + "learning_rate": 3.3786848072562364e-06, + "loss": 0.8661, + "step": 149 + }, + { + "epoch": 0.01, + "learning_rate": 3.4013605442176872e-06, + "loss": 1.1002, + "step": 150 + }, + { + "epoch": 0.01, + "learning_rate": 3.4240362811791385e-06, + "loss": 1.0703, + "step": 151 + }, + { + "epoch": 0.01, + "learning_rate": 3.44671201814059e-06, + "loss": 1.0562, + "step": 152 + }, + { + "epoch": 0.01, + "learning_rate": 3.469387755102041e-06, + "loss": 1.0003, + "step": 153 + }, + { + "epoch": 0.01, + "learning_rate": 3.492063492063492e-06, + "loss": 1.3293, + "step": 154 + }, + { + "epoch": 0.01, + "learning_rate": 3.5147392290249437e-06, + "loss": 0.9623, + "step": 155 + }, + { + "epoch": 0.01, + "learning_rate": 3.537414965986395e-06, + "loss": 1.036, + "step": 156 + }, + { + "epoch": 0.01, + "learning_rate": 3.560090702947846e-06, + "loss": 1.2849, + "step": 157 + }, + { + "epoch": 0.01, + "learning_rate": 3.5827664399092976e-06, + "loss": 1.0581, + "step": 158 + }, + { + "epoch": 0.01, + "learning_rate": 3.6054421768707485e-06, + "loss": 1.0738, + "step": 159 + }, + { + "epoch": 0.01, + "learning_rate": 3.6281179138322e-06, + "loss": 0.6251, + "step": 160 + }, + { + "epoch": 0.01, + "learning_rate": 3.6507936507936507e-06, + "loss": 0.8815, + "step": 161 + }, + { + "epoch": 0.01, + "learning_rate": 3.6734693877551024e-06, + "loss": 1.1345, + "step": 162 + }, + { + "epoch": 0.01, + "learning_rate": 3.6961451247165537e-06, + "loss": 1.0384, + "step": 163 + }, + { + "epoch": 0.01, + "learning_rate": 3.7188208616780046e-06, + "loss": 0.7732, + "step": 164 + }, + { + "epoch": 0.01, + "learning_rate": 3.7414965986394563e-06, + "loss": 1.1157, + "step": 165 + }, + { + "epoch": 0.01, + "learning_rate": 3.7641723356009076e-06, + "loss": 0.8675, + "step": 166 + }, + { + "epoch": 0.01, + "learning_rate": 3.7868480725623585e-06, + "loss": 1.0125, + "step": 167 + }, + { + "epoch": 0.01, + "learning_rate": 3.80952380952381e-06, + "loss": 0.8833, + "step": 168 + }, + { + "epoch": 0.01, + "learning_rate": 3.832199546485261e-06, + "loss": 0.9328, + "step": 169 + }, + { + "epoch": 0.01, + "learning_rate": 3.854875283446712e-06, + "loss": 1.0435, + "step": 170 + }, + { + "epoch": 0.01, + "learning_rate": 3.877551020408164e-06, + "loss": 0.8955, + "step": 171 + }, + { + "epoch": 0.01, + "learning_rate": 3.9002267573696154e-06, + "loss": 0.8991, + "step": 172 + }, + { + "epoch": 0.01, + "learning_rate": 3.922902494331066e-06, + "loss": 1.269, + "step": 173 + }, + { + "epoch": 0.01, + "learning_rate": 3.945578231292517e-06, + "loss": 1.0404, + "step": 174 + }, + { + "epoch": 0.01, + "learning_rate": 3.968253968253968e-06, + "loss": 1.0794, + "step": 175 + }, + { + "epoch": 0.01, + "learning_rate": 3.99092970521542e-06, + "loss": 1.1312, + "step": 176 + }, + { + "epoch": 0.01, + "learning_rate": 4.013605442176871e-06, + "loss": 0.8122, + "step": 177 + }, + { + "epoch": 0.01, + "learning_rate": 4.036281179138322e-06, + "loss": 1.014, + "step": 178 + }, + { + "epoch": 0.01, + "learning_rate": 4.058956916099774e-06, + "loss": 0.9509, + "step": 179 + }, + { + "epoch": 0.01, + "learning_rate": 4.081632653061225e-06, + "loss": 1.1741, + "step": 180 + }, + { + "epoch": 0.01, + "learning_rate": 4.104308390022676e-06, + "loss": 0.9657, + "step": 181 + }, + { + "epoch": 0.01, + "learning_rate": 4.126984126984127e-06, + "loss": 0.7954, + "step": 182 + }, + { + "epoch": 0.01, + "learning_rate": 4.1496598639455785e-06, + "loss": 0.9968, + "step": 183 + }, + { + "epoch": 0.01, + "learning_rate": 4.17233560090703e-06, + "loss": 0.9238, + "step": 184 + }, + { + "epoch": 0.01, + "learning_rate": 4.195011337868481e-06, + "loss": 1.1057, + "step": 185 + }, + { + "epoch": 0.01, + "learning_rate": 4.217687074829933e-06, + "loss": 0.7711, + "step": 186 + }, + { + "epoch": 0.01, + "learning_rate": 4.240362811791384e-06, + "loss": 1.1153, + "step": 187 + }, + { + "epoch": 0.01, + "learning_rate": 4.263038548752835e-06, + "loss": 0.9374, + "step": 188 + }, + { + "epoch": 0.01, + "learning_rate": 4.2857142857142855e-06, + "loss": 0.8809, + "step": 189 + }, + { + "epoch": 0.01, + "learning_rate": 4.308390022675737e-06, + "loss": 1.2112, + "step": 190 + }, + { + "epoch": 0.01, + "learning_rate": 4.331065759637189e-06, + "loss": 1.0382, + "step": 191 + }, + { + "epoch": 0.01, + "learning_rate": 4.35374149659864e-06, + "loss": 0.9379, + "step": 192 + }, + { + "epoch": 0.01, + "learning_rate": 4.3764172335600915e-06, + "loss": 0.9179, + "step": 193 + }, + { + "epoch": 0.01, + "learning_rate": 4.399092970521542e-06, + "loss": 1.0088, + "step": 194 + }, + { + "epoch": 0.01, + "learning_rate": 4.421768707482993e-06, + "loss": 1.0734, + "step": 195 + }, + { + "epoch": 0.01, + "learning_rate": 4.444444444444444e-06, + "loss": 0.9722, + "step": 196 + }, + { + "epoch": 0.01, + "learning_rate": 4.467120181405896e-06, + "loss": 1.0435, + "step": 197 + }, + { + "epoch": 0.01, + "learning_rate": 4.489795918367348e-06, + "loss": 1.1202, + "step": 198 + }, + { + "epoch": 0.01, + "learning_rate": 4.5124716553287985e-06, + "loss": 1.1269, + "step": 199 + }, + { + "epoch": 0.01, + "learning_rate": 4.53514739229025e-06, + "loss": 1.2964, + "step": 200 + }, + { + "epoch": 0.01, + "learning_rate": 4.557823129251701e-06, + "loss": 0.7935, + "step": 201 + }, + { + "epoch": 0.01, + "learning_rate": 4.580498866213152e-06, + "loss": 0.7529, + "step": 202 + }, + { + "epoch": 0.01, + "learning_rate": 4.603174603174604e-06, + "loss": 1.1087, + "step": 203 + }, + { + "epoch": 0.01, + "learning_rate": 4.6258503401360546e-06, + "loss": 0.7707, + "step": 204 + }, + { + "epoch": 0.01, + "learning_rate": 4.648526077097506e-06, + "loss": 1.0553, + "step": 205 + }, + { + "epoch": 0.01, + "learning_rate": 4.671201814058957e-06, + "loss": 0.6881, + "step": 206 + }, + { + "epoch": 0.01, + "learning_rate": 4.693877551020409e-06, + "loss": 1.3186, + "step": 207 + }, + { + "epoch": 0.01, + "learning_rate": 4.71655328798186e-06, + "loss": 1.0069, + "step": 208 + }, + { + "epoch": 0.01, + "learning_rate": 4.739229024943311e-06, + "loss": 1.0935, + "step": 209 + }, + { + "epoch": 0.01, + "learning_rate": 4.761904761904762e-06, + "loss": 1.0582, + "step": 210 + }, + { + "epoch": 0.01, + "learning_rate": 4.784580498866213e-06, + "loss": 1.2832, + "step": 211 + }, + { + "epoch": 0.01, + "learning_rate": 4.807256235827665e-06, + "loss": 0.8895, + "step": 212 + }, + { + "epoch": 0.01, + "learning_rate": 4.829931972789116e-06, + "loss": 0.81, + "step": 213 + }, + { + "epoch": 0.01, + "learning_rate": 4.852607709750568e-06, + "loss": 0.9181, + "step": 214 + }, + { + "epoch": 0.01, + "learning_rate": 4.8752834467120185e-06, + "loss": 1.0627, + "step": 215 + }, + { + "epoch": 0.01, + "learning_rate": 4.897959183673469e-06, + "loss": 0.9392, + "step": 216 + }, + { + "epoch": 0.01, + "learning_rate": 4.920634920634921e-06, + "loss": 0.9142, + "step": 217 + }, + { + "epoch": 0.01, + "learning_rate": 4.943310657596373e-06, + "loss": 0.6597, + "step": 218 + }, + { + "epoch": 0.01, + "learning_rate": 4.965986394557824e-06, + "loss": 0.8956, + "step": 219 + }, + { + "epoch": 0.01, + "learning_rate": 4.9886621315192745e-06, + "loss": 0.9985, + "step": 220 + }, + { + "epoch": 0.02, + "learning_rate": 5.0113378684807254e-06, + "loss": 1.137, + "step": 221 + }, + { + "epoch": 0.02, + "learning_rate": 5.034013605442177e-06, + "loss": 1.1757, + "step": 222 + }, + { + "epoch": 0.02, + "learning_rate": 5.056689342403629e-06, + "loss": 1.1944, + "step": 223 + }, + { + "epoch": 0.02, + "learning_rate": 5.07936507936508e-06, + "loss": 0.6863, + "step": 224 + }, + { + "epoch": 0.02, + "learning_rate": 5.1020408163265315e-06, + "loss": 1.2971, + "step": 225 + }, + { + "epoch": 0.02, + "learning_rate": 5.124716553287983e-06, + "loss": 0.977, + "step": 226 + }, + { + "epoch": 0.02, + "learning_rate": 5.147392290249433e-06, + "loss": 1.1083, + "step": 227 + }, + { + "epoch": 0.02, + "learning_rate": 5.170068027210885e-06, + "loss": 1.2573, + "step": 228 + }, + { + "epoch": 0.02, + "learning_rate": 5.192743764172336e-06, + "loss": 0.903, + "step": 229 + }, + { + "epoch": 0.02, + "learning_rate": 5.2154195011337876e-06, + "loss": 0.9919, + "step": 230 + }, + { + "epoch": 0.02, + "learning_rate": 5.2380952380952384e-06, + "loss": 0.9819, + "step": 231 + }, + { + "epoch": 0.02, + "learning_rate": 5.260770975056689e-06, + "loss": 1.1921, + "step": 232 + }, + { + "epoch": 0.02, + "learning_rate": 5.283446712018141e-06, + "loss": 1.0607, + "step": 233 + }, + { + "epoch": 0.02, + "learning_rate": 5.306122448979593e-06, + "loss": 0.8522, + "step": 234 + }, + { + "epoch": 0.02, + "learning_rate": 5.328798185941043e-06, + "loss": 0.8657, + "step": 235 + }, + { + "epoch": 0.02, + "learning_rate": 5.3514739229024945e-06, + "loss": 0.7995, + "step": 236 + }, + { + "epoch": 0.02, + "learning_rate": 5.374149659863946e-06, + "loss": 1.0714, + "step": 237 + }, + { + "epoch": 0.02, + "learning_rate": 5.396825396825397e-06, + "loss": 1.1683, + "step": 238 + }, + { + "epoch": 0.02, + "learning_rate": 5.419501133786849e-06, + "loss": 0.8349, + "step": 239 + }, + { + "epoch": 0.02, + "learning_rate": 5.442176870748301e-06, + "loss": 0.8768, + "step": 240 + }, + { + "epoch": 0.02, + "learning_rate": 5.464852607709751e-06, + "loss": 1.1139, + "step": 241 + }, + { + "epoch": 0.02, + "learning_rate": 5.487528344671202e-06, + "loss": 1.0874, + "step": 242 + }, + { + "epoch": 0.02, + "learning_rate": 5.510204081632653e-06, + "loss": 1.1501, + "step": 243 + }, + { + "epoch": 0.02, + "learning_rate": 5.532879818594105e-06, + "loss": 0.9968, + "step": 244 + }, + { + "epoch": 0.02, + "learning_rate": 5.555555555555557e-06, + "loss": 0.9319, + "step": 245 + }, + { + "epoch": 0.02, + "learning_rate": 5.578231292517007e-06, + "loss": 1.0045, + "step": 246 + }, + { + "epoch": 0.02, + "learning_rate": 5.6009070294784584e-06, + "loss": 1.1612, + "step": 247 + }, + { + "epoch": 0.02, + "learning_rate": 5.62358276643991e-06, + "loss": 1.0186, + "step": 248 + }, + { + "epoch": 0.02, + "learning_rate": 5.646258503401361e-06, + "loss": 0.7991, + "step": 249 + }, + { + "epoch": 0.02, + "learning_rate": 5.668934240362812e-06, + "loss": 0.8565, + "step": 250 + }, + { + "epoch": 0.02, + "learning_rate": 5.691609977324264e-06, + "loss": 1.02, + "step": 251 + }, + { + "epoch": 0.02, + "learning_rate": 5.7142857142857145e-06, + "loss": 0.8, + "step": 252 + }, + { + "epoch": 0.02, + "learning_rate": 5.736961451247166e-06, + "loss": 0.9538, + "step": 253 + }, + { + "epoch": 0.02, + "learning_rate": 5.759637188208618e-06, + "loss": 0.9287, + "step": 254 + }, + { + "epoch": 0.02, + "learning_rate": 5.782312925170068e-06, + "loss": 0.6778, + "step": 255 + }, + { + "epoch": 0.02, + "learning_rate": 5.80498866213152e-06, + "loss": 0.8517, + "step": 256 + }, + { + "epoch": 0.02, + "learning_rate": 5.8276643990929714e-06, + "loss": 1.1485, + "step": 257 + }, + { + "epoch": 0.02, + "learning_rate": 5.850340136054422e-06, + "loss": 0.7058, + "step": 258 + }, + { + "epoch": 0.02, + "learning_rate": 5.873015873015874e-06, + "loss": 0.9235, + "step": 259 + }, + { + "epoch": 0.02, + "learning_rate": 5.895691609977324e-06, + "loss": 0.7059, + "step": 260 + }, + { + "epoch": 0.02, + "learning_rate": 5.918367346938776e-06, + "loss": 1.1026, + "step": 261 + }, + { + "epoch": 0.02, + "learning_rate": 5.9410430839002275e-06, + "loss": 1.0484, + "step": 262 + }, + { + "epoch": 0.02, + "learning_rate": 5.963718820861678e-06, + "loss": 1.0375, + "step": 263 + }, + { + "epoch": 0.02, + "learning_rate": 5.98639455782313e-06, + "loss": 1.0361, + "step": 264 + }, + { + "epoch": 0.02, + "learning_rate": 6.009070294784581e-06, + "loss": 0.9471, + "step": 265 + }, + { + "epoch": 0.02, + "learning_rate": 6.031746031746032e-06, + "loss": 0.9347, + "step": 266 + }, + { + "epoch": 0.02, + "learning_rate": 6.054421768707484e-06, + "loss": 0.9149, + "step": 267 + }, + { + "epoch": 0.02, + "learning_rate": 6.077097505668935e-06, + "loss": 1.1553, + "step": 268 + }, + { + "epoch": 0.02, + "learning_rate": 6.099773242630385e-06, + "loss": 1.1913, + "step": 269 + }, + { + "epoch": 0.02, + "learning_rate": 6.122448979591837e-06, + "loss": 0.8657, + "step": 270 + }, + { + "epoch": 0.02, + "learning_rate": 6.145124716553289e-06, + "loss": 1.112, + "step": 271 + }, + { + "epoch": 0.02, + "learning_rate": 6.16780045351474e-06, + "loss": 0.8022, + "step": 272 + }, + { + "epoch": 0.02, + "learning_rate": 6.1904761904761914e-06, + "loss": 1.0001, + "step": 273 + }, + { + "epoch": 0.02, + "learning_rate": 6.2131519274376415e-06, + "loss": 0.9189, + "step": 274 + }, + { + "epoch": 0.02, + "learning_rate": 6.235827664399093e-06, + "loss": 1.1097, + "step": 275 + }, + { + "epoch": 0.02, + "learning_rate": 6.258503401360545e-06, + "loss": 1.085, + "step": 276 + }, + { + "epoch": 0.02, + "learning_rate": 6.281179138321996e-06, + "loss": 1.0355, + "step": 277 + }, + { + "epoch": 0.02, + "learning_rate": 6.3038548752834475e-06, + "loss": 0.9859, + "step": 278 + }, + { + "epoch": 0.02, + "learning_rate": 6.326530612244899e-06, + "loss": 0.8633, + "step": 279 + }, + { + "epoch": 0.02, + "learning_rate": 6.349206349206349e-06, + "loss": 0.9385, + "step": 280 + }, + { + "epoch": 0.02, + "learning_rate": 6.371882086167801e-06, + "loss": 0.6106, + "step": 281 + }, + { + "epoch": 0.02, + "learning_rate": 6.394557823129253e-06, + "loss": 0.9754, + "step": 282 + }, + { + "epoch": 0.02, + "learning_rate": 6.417233560090704e-06, + "loss": 0.831, + "step": 283 + }, + { + "epoch": 0.02, + "learning_rate": 6.4399092970521545e-06, + "loss": 0.8306, + "step": 284 + }, + { + "epoch": 0.02, + "learning_rate": 6.462585034013606e-06, + "loss": 1.1183, + "step": 285 + }, + { + "epoch": 0.02, + "learning_rate": 6.485260770975057e-06, + "loss": 0.7311, + "step": 286 + }, + { + "epoch": 0.02, + "learning_rate": 6.507936507936509e-06, + "loss": 0.6582, + "step": 287 + }, + { + "epoch": 0.02, + "learning_rate": 6.530612244897959e-06, + "loss": 0.9443, + "step": 288 + }, + { + "epoch": 0.02, + "learning_rate": 6.5532879818594106e-06, + "loss": 1.0159, + "step": 289 + }, + { + "epoch": 0.02, + "learning_rate": 6.575963718820862e-06, + "loss": 0.9257, + "step": 290 + }, + { + "epoch": 0.02, + "learning_rate": 6.598639455782313e-06, + "loss": 1.0245, + "step": 291 + }, + { + "epoch": 0.02, + "learning_rate": 6.621315192743765e-06, + "loss": 0.7989, + "step": 292 + }, + { + "epoch": 0.02, + "learning_rate": 6.643990929705217e-06, + "loss": 0.8054, + "step": 293 + }, + { + "epoch": 0.02, + "learning_rate": 6.666666666666667e-06, + "loss": 0.842, + "step": 294 + }, + { + "epoch": 0.02, + "learning_rate": 6.689342403628118e-06, + "loss": 1.2006, + "step": 295 + }, + { + "epoch": 0.02, + "learning_rate": 6.71201814058957e-06, + "loss": 0.8469, + "step": 296 + }, + { + "epoch": 0.02, + "learning_rate": 6.734693877551021e-06, + "loss": 0.9169, + "step": 297 + }, + { + "epoch": 0.02, + "learning_rate": 6.757369614512473e-06, + "loss": 0.5965, + "step": 298 + }, + { + "epoch": 0.02, + "learning_rate": 6.780045351473924e-06, + "loss": 1.2393, + "step": 299 + }, + { + "epoch": 0.02, + "learning_rate": 6.8027210884353745e-06, + "loss": 0.9747, + "step": 300 + }, + { + "epoch": 0.02, + "learning_rate": 6.825396825396826e-06, + "loss": 1.2515, + "step": 301 + }, + { + "epoch": 0.02, + "learning_rate": 6.848072562358277e-06, + "loss": 0.6831, + "step": 302 + }, + { + "epoch": 0.02, + "learning_rate": 6.870748299319728e-06, + "loss": 0.858, + "step": 303 + }, + { + "epoch": 0.02, + "learning_rate": 6.89342403628118e-06, + "loss": 0.9282, + "step": 304 + }, + { + "epoch": 0.02, + "learning_rate": 6.9160997732426305e-06, + "loss": 1.058, + "step": 305 + }, + { + "epoch": 0.02, + "learning_rate": 6.938775510204082e-06, + "loss": 1.0098, + "step": 306 + }, + { + "epoch": 0.02, + "learning_rate": 6.961451247165534e-06, + "loss": 0.9523, + "step": 307 + }, + { + "epoch": 0.02, + "learning_rate": 6.984126984126984e-06, + "loss": 0.9447, + "step": 308 + }, + { + "epoch": 0.02, + "learning_rate": 7.006802721088436e-06, + "loss": 1.1989, + "step": 309 + }, + { + "epoch": 0.02, + "learning_rate": 7.0294784580498875e-06, + "loss": 0.9452, + "step": 310 + }, + { + "epoch": 0.02, + "learning_rate": 7.052154195011338e-06, + "loss": 1.0367, + "step": 311 + }, + { + "epoch": 0.02, + "learning_rate": 7.07482993197279e-06, + "loss": 1.1805, + "step": 312 + }, + { + "epoch": 0.02, + "learning_rate": 7.097505668934242e-06, + "loss": 0.8579, + "step": 313 + }, + { + "epoch": 0.02, + "learning_rate": 7.120181405895692e-06, + "loss": 0.9877, + "step": 314 + }, + { + "epoch": 0.02, + "learning_rate": 7.1428571428571436e-06, + "loss": 1.0693, + "step": 315 + }, + { + "epoch": 0.02, + "learning_rate": 7.165532879818595e-06, + "loss": 1.0348, + "step": 316 + }, + { + "epoch": 0.02, + "learning_rate": 7.188208616780046e-06, + "loss": 1.0461, + "step": 317 + }, + { + "epoch": 0.02, + "learning_rate": 7.210884353741497e-06, + "loss": 1.0413, + "step": 318 + }, + { + "epoch": 0.02, + "learning_rate": 7.233560090702948e-06, + "loss": 1.1227, + "step": 319 + }, + { + "epoch": 0.02, + "learning_rate": 7.2562358276644e-06, + "loss": 0.8693, + "step": 320 + }, + { + "epoch": 0.02, + "learning_rate": 7.278911564625851e-06, + "loss": 0.7695, + "step": 321 + }, + { + "epoch": 0.02, + "learning_rate": 7.301587301587301e-06, + "loss": 0.8716, + "step": 322 + }, + { + "epoch": 0.02, + "learning_rate": 7.324263038548753e-06, + "loss": 0.8587, + "step": 323 + }, + { + "epoch": 0.02, + "learning_rate": 7.346938775510205e-06, + "loss": 0.8692, + "step": 324 + }, + { + "epoch": 0.02, + "learning_rate": 7.369614512471656e-06, + "loss": 1.1463, + "step": 325 + }, + { + "epoch": 0.02, + "learning_rate": 7.3922902494331075e-06, + "loss": 1.0531, + "step": 326 + }, + { + "epoch": 0.02, + "learning_rate": 7.414965986394559e-06, + "loss": 1.1806, + "step": 327 + }, + { + "epoch": 0.02, + "learning_rate": 7.437641723356009e-06, + "loss": 0.9669, + "step": 328 + }, + { + "epoch": 0.02, + "learning_rate": 7.460317460317461e-06, + "loss": 1.0766, + "step": 329 + }, + { + "epoch": 0.02, + "learning_rate": 7.482993197278913e-06, + "loss": 0.9923, + "step": 330 + }, + { + "epoch": 0.02, + "learning_rate": 7.5056689342403635e-06, + "loss": 1.0806, + "step": 331 + }, + { + "epoch": 0.02, + "learning_rate": 7.528344671201815e-06, + "loss": 1.0513, + "step": 332 + }, + { + "epoch": 0.02, + "learning_rate": 7.551020408163265e-06, + "loss": 0.953, + "step": 333 + }, + { + "epoch": 0.02, + "learning_rate": 7.573696145124717e-06, + "loss": 0.8556, + "step": 334 + }, + { + "epoch": 0.02, + "learning_rate": 7.596371882086169e-06, + "loss": 1.0723, + "step": 335 + }, + { + "epoch": 0.02, + "learning_rate": 7.61904761904762e-06, + "loss": 0.6511, + "step": 336 + }, + { + "epoch": 0.02, + "learning_rate": 7.64172335600907e-06, + "loss": 0.8854, + "step": 337 + }, + { + "epoch": 0.02, + "learning_rate": 7.664399092970522e-06, + "loss": 0.7344, + "step": 338 + }, + { + "epoch": 0.02, + "learning_rate": 7.687074829931972e-06, + "loss": 1.1343, + "step": 339 + }, + { + "epoch": 0.02, + "learning_rate": 7.709750566893424e-06, + "loss": 1.1291, + "step": 340 + }, + { + "epoch": 0.02, + "learning_rate": 7.732426303854876e-06, + "loss": 0.6505, + "step": 341 + }, + { + "epoch": 0.02, + "learning_rate": 7.755102040816327e-06, + "loss": 0.9934, + "step": 342 + }, + { + "epoch": 0.02, + "learning_rate": 7.77777777777778e-06, + "loss": 1.1583, + "step": 343 + }, + { + "epoch": 0.02, + "learning_rate": 7.800453514739231e-06, + "loss": 0.9731, + "step": 344 + }, + { + "epoch": 0.02, + "learning_rate": 7.823129251700681e-06, + "loss": 0.6715, + "step": 345 + }, + { + "epoch": 0.02, + "learning_rate": 7.845804988662133e-06, + "loss": 0.8165, + "step": 346 + }, + { + "epoch": 0.02, + "learning_rate": 7.868480725623583e-06, + "loss": 0.8421, + "step": 347 + }, + { + "epoch": 0.02, + "learning_rate": 7.891156462585034e-06, + "loss": 1.0149, + "step": 348 + }, + { + "epoch": 0.02, + "learning_rate": 7.913832199546486e-06, + "loss": 0.7794, + "step": 349 + }, + { + "epoch": 0.02, + "learning_rate": 7.936507936507936e-06, + "loss": 1.0508, + "step": 350 + }, + { + "epoch": 0.02, + "learning_rate": 7.959183673469388e-06, + "loss": 1.1174, + "step": 351 + }, + { + "epoch": 0.02, + "learning_rate": 7.98185941043084e-06, + "loss": 0.868, + "step": 352 + }, + { + "epoch": 0.02, + "learning_rate": 8.004535147392291e-06, + "loss": 1.0808, + "step": 353 + }, + { + "epoch": 0.02, + "learning_rate": 8.027210884353741e-06, + "loss": 0.7908, + "step": 354 + }, + { + "epoch": 0.02, + "learning_rate": 8.049886621315193e-06, + "loss": 0.9823, + "step": 355 + }, + { + "epoch": 0.02, + "learning_rate": 8.072562358276645e-06, + "loss": 0.7633, + "step": 356 + }, + { + "epoch": 0.02, + "learning_rate": 8.095238095238097e-06, + "loss": 0.9756, + "step": 357 + }, + { + "epoch": 0.02, + "learning_rate": 8.117913832199548e-06, + "loss": 0.8296, + "step": 358 + }, + { + "epoch": 0.02, + "learning_rate": 8.140589569160998e-06, + "loss": 0.8389, + "step": 359 + }, + { + "epoch": 0.02, + "learning_rate": 8.16326530612245e-06, + "loss": 1.0999, + "step": 360 + }, + { + "epoch": 0.02, + "learning_rate": 8.1859410430839e-06, + "loss": 1.003, + "step": 361 + }, + { + "epoch": 0.02, + "learning_rate": 8.208616780045352e-06, + "loss": 0.9822, + "step": 362 + }, + { + "epoch": 0.02, + "learning_rate": 8.231292517006804e-06, + "loss": 0.8909, + "step": 363 + }, + { + "epoch": 0.02, + "learning_rate": 8.253968253968254e-06, + "loss": 0.9852, + "step": 364 + }, + { + "epoch": 0.02, + "learning_rate": 8.276643990929705e-06, + "loss": 0.6985, + "step": 365 + }, + { + "epoch": 0.02, + "learning_rate": 8.299319727891157e-06, + "loss": 0.9759, + "step": 366 + }, + { + "epoch": 0.02, + "learning_rate": 8.321995464852609e-06, + "loss": 1.1392, + "step": 367 + }, + { + "epoch": 0.03, + "learning_rate": 8.34467120181406e-06, + "loss": 1.0631, + "step": 368 + }, + { + "epoch": 0.03, + "learning_rate": 8.36734693877551e-06, + "loss": 1.106, + "step": 369 + }, + { + "epoch": 0.03, + "learning_rate": 8.390022675736962e-06, + "loss": 1.0656, + "step": 370 + }, + { + "epoch": 0.03, + "learning_rate": 8.412698412698414e-06, + "loss": 0.8535, + "step": 371 + }, + { + "epoch": 0.03, + "learning_rate": 8.435374149659866e-06, + "loss": 1.0529, + "step": 372 + }, + { + "epoch": 0.03, + "learning_rate": 8.458049886621316e-06, + "loss": 0.8903, + "step": 373 + }, + { + "epoch": 0.03, + "learning_rate": 8.480725623582767e-06, + "loss": 0.9366, + "step": 374 + }, + { + "epoch": 0.03, + "learning_rate": 8.503401360544217e-06, + "loss": 0.3792, + "step": 375 + }, + { + "epoch": 0.03, + "learning_rate": 8.52607709750567e-06, + "loss": 0.6759, + "step": 376 + }, + { + "epoch": 0.03, + "learning_rate": 8.548752834467121e-06, + "loss": 0.7296, + "step": 377 + }, + { + "epoch": 0.03, + "learning_rate": 8.571428571428571e-06, + "loss": 0.792, + "step": 378 + }, + { + "epoch": 0.03, + "learning_rate": 8.594104308390023e-06, + "loss": 0.8419, + "step": 379 + }, + { + "epoch": 0.03, + "learning_rate": 8.616780045351474e-06, + "loss": 0.8687, + "step": 380 + }, + { + "epoch": 0.03, + "learning_rate": 8.639455782312926e-06, + "loss": 0.8054, + "step": 381 + }, + { + "epoch": 0.03, + "learning_rate": 8.662131519274378e-06, + "loss": 1.1622, + "step": 382 + }, + { + "epoch": 0.03, + "learning_rate": 8.68480725623583e-06, + "loss": 0.761, + "step": 383 + }, + { + "epoch": 0.03, + "learning_rate": 8.70748299319728e-06, + "loss": 0.9406, + "step": 384 + }, + { + "epoch": 0.03, + "learning_rate": 8.730158730158731e-06, + "loss": 0.9431, + "step": 385 + }, + { + "epoch": 0.03, + "learning_rate": 8.752834467120183e-06, + "loss": 0.8541, + "step": 386 + }, + { + "epoch": 0.03, + "learning_rate": 8.775510204081633e-06, + "loss": 1.0308, + "step": 387 + }, + { + "epoch": 0.03, + "learning_rate": 8.798185941043085e-06, + "loss": 1.0083, + "step": 388 + }, + { + "epoch": 0.03, + "learning_rate": 8.820861678004537e-06, + "loss": 1.0319, + "step": 389 + }, + { + "epoch": 0.03, + "learning_rate": 8.843537414965987e-06, + "loss": 0.9403, + "step": 390 + }, + { + "epoch": 0.03, + "learning_rate": 8.866213151927438e-06, + "loss": 1.1072, + "step": 391 + }, + { + "epoch": 0.03, + "learning_rate": 8.888888888888888e-06, + "loss": 0.5402, + "step": 392 + }, + { + "epoch": 0.03, + "learning_rate": 8.91156462585034e-06, + "loss": 0.9419, + "step": 393 + }, + { + "epoch": 0.03, + "learning_rate": 8.934240362811792e-06, + "loss": 0.9959, + "step": 394 + }, + { + "epoch": 0.03, + "learning_rate": 8.956916099773243e-06, + "loss": 1.0007, + "step": 395 + }, + { + "epoch": 0.03, + "learning_rate": 8.979591836734695e-06, + "loss": 0.974, + "step": 396 + }, + { + "epoch": 0.03, + "learning_rate": 9.002267573696147e-06, + "loss": 1.0185, + "step": 397 + }, + { + "epoch": 0.03, + "learning_rate": 9.024943310657597e-06, + "loss": 0.8747, + "step": 398 + }, + { + "epoch": 0.03, + "learning_rate": 9.047619047619049e-06, + "loss": 0.7549, + "step": 399 + }, + { + "epoch": 0.03, + "learning_rate": 9.0702947845805e-06, + "loss": 1.0628, + "step": 400 + }, + { + "epoch": 0.03, + "learning_rate": 9.09297052154195e-06, + "loss": 0.7613, + "step": 401 + }, + { + "epoch": 0.03, + "learning_rate": 9.115646258503402e-06, + "loss": 0.7078, + "step": 402 + }, + { + "epoch": 0.03, + "learning_rate": 9.138321995464854e-06, + "loss": 1.1163, + "step": 403 + }, + { + "epoch": 0.03, + "learning_rate": 9.160997732426304e-06, + "loss": 1.0022, + "step": 404 + }, + { + "epoch": 0.03, + "learning_rate": 9.183673469387756e-06, + "loss": 0.9554, + "step": 405 + }, + { + "epoch": 0.03, + "learning_rate": 9.206349206349207e-06, + "loss": 0.9446, + "step": 406 + }, + { + "epoch": 0.03, + "learning_rate": 9.229024943310657e-06, + "loss": 0.7689, + "step": 407 + }, + { + "epoch": 0.03, + "learning_rate": 9.251700680272109e-06, + "loss": 0.8617, + "step": 408 + }, + { + "epoch": 0.03, + "learning_rate": 9.274376417233561e-06, + "loss": 1.1826, + "step": 409 + }, + { + "epoch": 0.03, + "learning_rate": 9.297052154195013e-06, + "loss": 1.129, + "step": 410 + }, + { + "epoch": 0.03, + "learning_rate": 9.319727891156464e-06, + "loss": 0.768, + "step": 411 + }, + { + "epoch": 0.03, + "learning_rate": 9.342403628117914e-06, + "loss": 0.9167, + "step": 412 + }, + { + "epoch": 0.03, + "learning_rate": 9.365079365079366e-06, + "loss": 0.8756, + "step": 413 + }, + { + "epoch": 0.03, + "learning_rate": 9.387755102040818e-06, + "loss": 1.0135, + "step": 414 + }, + { + "epoch": 0.03, + "learning_rate": 9.410430839002268e-06, + "loss": 0.9855, + "step": 415 + }, + { + "epoch": 0.03, + "learning_rate": 9.43310657596372e-06, + "loss": 0.9621, + "step": 416 + }, + { + "epoch": 0.03, + "learning_rate": 9.455782312925171e-06, + "loss": 1.0338, + "step": 417 + }, + { + "epoch": 0.03, + "learning_rate": 9.478458049886621e-06, + "loss": 0.8916, + "step": 418 + }, + { + "epoch": 0.03, + "learning_rate": 9.501133786848073e-06, + "loss": 1.0151, + "step": 419 + }, + { + "epoch": 0.03, + "learning_rate": 9.523809523809525e-06, + "loss": 0.9086, + "step": 420 + }, + { + "epoch": 0.03, + "learning_rate": 9.546485260770976e-06, + "loss": 0.9562, + "step": 421 + }, + { + "epoch": 0.03, + "learning_rate": 9.569160997732427e-06, + "loss": 0.9247, + "step": 422 + }, + { + "epoch": 0.03, + "learning_rate": 9.591836734693878e-06, + "loss": 1.125, + "step": 423 + }, + { + "epoch": 0.03, + "learning_rate": 9.61451247165533e-06, + "loss": 0.7238, + "step": 424 + }, + { + "epoch": 0.03, + "learning_rate": 9.637188208616782e-06, + "loss": 0.8903, + "step": 425 + }, + { + "epoch": 0.03, + "learning_rate": 9.659863945578232e-06, + "loss": 0.7305, + "step": 426 + }, + { + "epoch": 0.03, + "learning_rate": 9.682539682539683e-06, + "loss": 1.0001, + "step": 427 + }, + { + "epoch": 0.03, + "learning_rate": 9.705215419501135e-06, + "loss": 0.9099, + "step": 428 + }, + { + "epoch": 0.03, + "learning_rate": 9.727891156462585e-06, + "loss": 0.9049, + "step": 429 + }, + { + "epoch": 0.03, + "learning_rate": 9.750566893424037e-06, + "loss": 0.7605, + "step": 430 + }, + { + "epoch": 0.03, + "learning_rate": 9.773242630385489e-06, + "loss": 0.7064, + "step": 431 + }, + { + "epoch": 0.03, + "learning_rate": 9.795918367346939e-06, + "loss": 0.8302, + "step": 432 + }, + { + "epoch": 0.03, + "learning_rate": 9.81859410430839e-06, + "loss": 0.9455, + "step": 433 + }, + { + "epoch": 0.03, + "learning_rate": 9.841269841269842e-06, + "loss": 0.6436, + "step": 434 + }, + { + "epoch": 0.03, + "learning_rate": 9.863945578231294e-06, + "loss": 0.7888, + "step": 435 + }, + { + "epoch": 0.03, + "learning_rate": 9.886621315192746e-06, + "loss": 1.1496, + "step": 436 + }, + { + "epoch": 0.03, + "learning_rate": 9.909297052154196e-06, + "loss": 1.193, + "step": 437 + }, + { + "epoch": 0.03, + "learning_rate": 9.931972789115647e-06, + "loss": 1.0166, + "step": 438 + }, + { + "epoch": 0.03, + "learning_rate": 9.954648526077099e-06, + "loss": 1.167, + "step": 439 + }, + { + "epoch": 0.03, + "learning_rate": 9.977324263038549e-06, + "loss": 1.0068, + "step": 440 + }, + { + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 1.0286, + "step": 441 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999878592819e-06, + "loss": 0.7708, + "step": 442 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999514371279e-06, + "loss": 1.0215, + "step": 443 + }, + { + "epoch": 0.03, + "learning_rate": 9.999998907335398e-06, + "loss": 1.0562, + "step": 444 + }, + { + "epoch": 0.03, + "learning_rate": 9.999998057485206e-06, + "loss": 1.0448, + "step": 445 + }, + { + "epoch": 0.03, + "learning_rate": 9.999996964820744e-06, + "loss": 0.9986, + "step": 446 + }, + { + "epoch": 0.03, + "learning_rate": 9.999995629342067e-06, + "loss": 0.9375, + "step": 447 + }, + { + "epoch": 0.03, + "learning_rate": 9.999994051049235e-06, + "loss": 1.0149, + "step": 448 + }, + { + "epoch": 0.03, + "learning_rate": 9.99999222994233e-06, + "loss": 0.9252, + "step": 449 + }, + { + "epoch": 0.03, + "learning_rate": 9.999990166021438e-06, + "loss": 0.6102, + "step": 450 + }, + { + "epoch": 0.03, + "learning_rate": 9.999987859286661e-06, + "loss": 0.9785, + "step": 451 + }, + { + "epoch": 0.03, + "learning_rate": 9.999985309738107e-06, + "loss": 1.0115, + "step": 452 + }, + { + "epoch": 0.03, + "learning_rate": 9.999982517375903e-06, + "loss": 0.9496, + "step": 453 + }, + { + "epoch": 0.03, + "learning_rate": 9.999979482200185e-06, + "loss": 0.5953, + "step": 454 + }, + { + "epoch": 0.03, + "learning_rate": 9.999976204211099e-06, + "loss": 0.8409, + "step": 455 + }, + { + "epoch": 0.03, + "learning_rate": 9.999972683408804e-06, + "loss": 1.1119, + "step": 456 + }, + { + "epoch": 0.03, + "learning_rate": 9.99996891979347e-06, + "loss": 0.9484, + "step": 457 + }, + { + "epoch": 0.03, + "learning_rate": 9.999964913365284e-06, + "loss": 1.0565, + "step": 458 + }, + { + "epoch": 0.03, + "learning_rate": 9.999960664124435e-06, + "loss": 0.814, + "step": 459 + }, + { + "epoch": 0.03, + "learning_rate": 9.999956172071135e-06, + "loss": 0.8956, + "step": 460 + }, + { + "epoch": 0.03, + "learning_rate": 9.999951437205597e-06, + "loss": 0.8738, + "step": 461 + }, + { + "epoch": 0.03, + "learning_rate": 9.999946459528055e-06, + "loss": 0.951, + "step": 462 + }, + { + "epoch": 0.03, + "learning_rate": 9.999941239038748e-06, + "loss": 0.9999, + "step": 463 + }, + { + "epoch": 0.03, + "learning_rate": 9.999935775737931e-06, + "loss": 1.0647, + "step": 464 + }, + { + "epoch": 0.03, + "learning_rate": 9.999930069625869e-06, + "loss": 1.0806, + "step": 465 + }, + { + "epoch": 0.03, + "learning_rate": 9.999924120702838e-06, + "loss": 0.7878, + "step": 466 + }, + { + "epoch": 0.03, + "learning_rate": 9.99991792896913e-06, + "loss": 0.986, + "step": 467 + }, + { + "epoch": 0.03, + "learning_rate": 9.999911494425041e-06, + "loss": 0.9739, + "step": 468 + }, + { + "epoch": 0.03, + "learning_rate": 9.999904817070886e-06, + "loss": 0.736, + "step": 469 + }, + { + "epoch": 0.03, + "learning_rate": 9.999897896906992e-06, + "loss": 0.8963, + "step": 470 + }, + { + "epoch": 0.03, + "learning_rate": 9.99989073393369e-06, + "loss": 1.0341, + "step": 471 + }, + { + "epoch": 0.03, + "learning_rate": 9.99988332815133e-06, + "loss": 0.9557, + "step": 472 + }, + { + "epoch": 0.03, + "learning_rate": 9.999875679560272e-06, + "loss": 0.8746, + "step": 473 + }, + { + "epoch": 0.03, + "learning_rate": 9.999867788160888e-06, + "loss": 1.027, + "step": 474 + }, + { + "epoch": 0.03, + "learning_rate": 9.99985965395356e-06, + "loss": 0.808, + "step": 475 + }, + { + "epoch": 0.03, + "learning_rate": 9.999851276938684e-06, + "loss": 0.9882, + "step": 476 + }, + { + "epoch": 0.03, + "learning_rate": 9.999842657116667e-06, + "loss": 0.8865, + "step": 477 + }, + { + "epoch": 0.03, + "learning_rate": 9.999833794487925e-06, + "loss": 0.876, + "step": 478 + }, + { + "epoch": 0.03, + "learning_rate": 9.999824689052891e-06, + "loss": 1.1876, + "step": 479 + }, + { + "epoch": 0.03, + "learning_rate": 9.999815340812007e-06, + "loss": 0.9536, + "step": 480 + }, + { + "epoch": 0.03, + "learning_rate": 9.999805749765727e-06, + "loss": 0.7778, + "step": 481 + }, + { + "epoch": 0.03, + "learning_rate": 9.999795915914517e-06, + "loss": 1.1396, + "step": 482 + }, + { + "epoch": 0.03, + "learning_rate": 9.999785839258851e-06, + "loss": 1.1222, + "step": 483 + }, + { + "epoch": 0.03, + "learning_rate": 9.999775519799222e-06, + "loss": 0.9308, + "step": 484 + }, + { + "epoch": 0.03, + "learning_rate": 9.99976495753613e-06, + "loss": 0.9865, + "step": 485 + }, + { + "epoch": 0.03, + "learning_rate": 9.99975415247009e-06, + "loss": 0.794, + "step": 486 + }, + { + "epoch": 0.03, + "learning_rate": 9.999743104601624e-06, + "loss": 0.9191, + "step": 487 + }, + { + "epoch": 0.03, + "learning_rate": 9.99973181393127e-06, + "loss": 0.8211, + "step": 488 + }, + { + "epoch": 0.03, + "learning_rate": 9.999720280459576e-06, + "loss": 1.0052, + "step": 489 + }, + { + "epoch": 0.03, + "learning_rate": 9.9997085041871e-06, + "loss": 0.8997, + "step": 490 + }, + { + "epoch": 0.03, + "learning_rate": 9.999696485114418e-06, + "loss": 0.6046, + "step": 491 + }, + { + "epoch": 0.03, + "learning_rate": 9.999684223242111e-06, + "loss": 0.829, + "step": 492 + }, + { + "epoch": 0.03, + "learning_rate": 9.999671718570774e-06, + "loss": 0.7757, + "step": 493 + }, + { + "epoch": 0.03, + "learning_rate": 9.999658971101016e-06, + "loss": 0.9034, + "step": 494 + }, + { + "epoch": 0.03, + "learning_rate": 9.999645980833454e-06, + "loss": 0.8246, + "step": 495 + }, + { + "epoch": 0.03, + "learning_rate": 9.999632747768722e-06, + "loss": 0.7995, + "step": 496 + }, + { + "epoch": 0.03, + "learning_rate": 9.99961927190746e-06, + "loss": 1.2295, + "step": 497 + }, + { + "epoch": 0.03, + "learning_rate": 9.999605553250322e-06, + "loss": 0.8449, + "step": 498 + }, + { + "epoch": 0.03, + "learning_rate": 9.999591591797977e-06, + "loss": 1.016, + "step": 499 + }, + { + "epoch": 0.03, + "learning_rate": 9.999577387551101e-06, + "loss": 1.1252, + "step": 500 + }, + { + "epoch": 0.03, + "learning_rate": 9.999562940510383e-06, + "loss": 0.7827, + "step": 501 + }, + { + "epoch": 0.03, + "learning_rate": 9.999548250676527e-06, + "loss": 0.8807, + "step": 502 + }, + { + "epoch": 0.03, + "learning_rate": 9.999533318050245e-06, + "loss": 1.0494, + "step": 503 + }, + { + "epoch": 0.03, + "learning_rate": 9.999518142632263e-06, + "loss": 0.8017, + "step": 504 + }, + { + "epoch": 0.03, + "learning_rate": 9.999502724423316e-06, + "loss": 1.3116, + "step": 505 + }, + { + "epoch": 0.03, + "learning_rate": 9.999487063424154e-06, + "loss": 0.9011, + "step": 506 + }, + { + "epoch": 0.03, + "learning_rate": 9.999471159635538e-06, + "loss": 0.8571, + "step": 507 + }, + { + "epoch": 0.03, + "learning_rate": 9.99945501305824e-06, + "loss": 0.6268, + "step": 508 + }, + { + "epoch": 0.03, + "learning_rate": 9.999438623693044e-06, + "loss": 0.7921, + "step": 509 + }, + { + "epoch": 0.03, + "learning_rate": 9.999421991540746e-06, + "loss": 0.9595, + "step": 510 + }, + { + "epoch": 0.03, + "learning_rate": 9.999405116602154e-06, + "loss": 0.9109, + "step": 511 + }, + { + "epoch": 0.03, + "learning_rate": 9.999387998878088e-06, + "loss": 0.9417, + "step": 512 + }, + { + "epoch": 0.03, + "learning_rate": 9.999370638369377e-06, + "loss": 0.9619, + "step": 513 + }, + { + "epoch": 0.03, + "learning_rate": 9.999353035076864e-06, + "loss": 0.9294, + "step": 514 + }, + { + "epoch": 0.04, + "learning_rate": 9.999335189001408e-06, + "loss": 1.0481, + "step": 515 + }, + { + "epoch": 0.04, + "learning_rate": 9.999317100143873e-06, + "loss": 0.8685, + "step": 516 + }, + { + "epoch": 0.04, + "learning_rate": 9.999298768505136e-06, + "loss": 0.6911, + "step": 517 + }, + { + "epoch": 0.04, + "learning_rate": 9.99928019408609e-06, + "loss": 0.6866, + "step": 518 + }, + { + "epoch": 0.04, + "learning_rate": 9.999261376887634e-06, + "loss": 0.8125, + "step": 519 + }, + { + "epoch": 0.04, + "learning_rate": 9.999242316910685e-06, + "loss": 1.084, + "step": 520 + }, + { + "epoch": 0.04, + "learning_rate": 9.999223014156167e-06, + "loss": 0.6803, + "step": 521 + }, + { + "epoch": 0.04, + "learning_rate": 9.999203468625017e-06, + "loss": 0.5298, + "step": 522 + }, + { + "epoch": 0.04, + "learning_rate": 9.999183680318185e-06, + "loss": 0.7797, + "step": 523 + }, + { + "epoch": 0.04, + "learning_rate": 9.999163649236632e-06, + "loss": 0.9839, + "step": 524 + }, + { + "epoch": 0.04, + "learning_rate": 9.999143375381331e-06, + "loss": 1.0552, + "step": 525 + }, + { + "epoch": 0.04, + "learning_rate": 9.999122858753265e-06, + "loss": 0.8215, + "step": 526 + }, + { + "epoch": 0.04, + "learning_rate": 9.999102099353432e-06, + "loss": 0.7418, + "step": 527 + }, + { + "epoch": 0.04, + "learning_rate": 9.99908109718284e-06, + "loss": 1.0466, + "step": 528 + }, + { + "epoch": 0.04, + "learning_rate": 9.999059852242508e-06, + "loss": 1.0271, + "step": 529 + }, + { + "epoch": 0.04, + "learning_rate": 9.999038364533469e-06, + "loss": 1.0975, + "step": 530 + }, + { + "epoch": 0.04, + "learning_rate": 9.999016634056764e-06, + "loss": 1.1038, + "step": 531 + }, + { + "epoch": 0.04, + "learning_rate": 9.99899466081345e-06, + "loss": 1.1738, + "step": 532 + }, + { + "epoch": 0.04, + "learning_rate": 9.998972444804596e-06, + "loss": 0.9639, + "step": 533 + }, + { + "epoch": 0.04, + "learning_rate": 9.998949986031277e-06, + "loss": 0.9396, + "step": 534 + }, + { + "epoch": 0.04, + "learning_rate": 9.998927284494586e-06, + "loss": 0.9038, + "step": 535 + }, + { + "epoch": 0.04, + "learning_rate": 9.998904340195626e-06, + "loss": 0.8264, + "step": 536 + }, + { + "epoch": 0.04, + "learning_rate": 9.99888115313551e-06, + "loss": 0.8689, + "step": 537 + }, + { + "epoch": 0.04, + "learning_rate": 9.998857723315363e-06, + "loss": 1.1806, + "step": 538 + }, + { + "epoch": 0.04, + "learning_rate": 9.998834050736326e-06, + "loss": 0.8824, + "step": 539 + }, + { + "epoch": 0.04, + "learning_rate": 9.998810135399545e-06, + "loss": 0.931, + "step": 540 + }, + { + "epoch": 0.04, + "learning_rate": 9.998785977306185e-06, + "loss": 0.8786, + "step": 541 + }, + { + "epoch": 0.04, + "learning_rate": 9.998761576457417e-06, + "loss": 0.9607, + "step": 542 + }, + { + "epoch": 0.04, + "learning_rate": 9.998736932854425e-06, + "loss": 0.8477, + "step": 543 + }, + { + "epoch": 0.04, + "learning_rate": 9.998712046498408e-06, + "loss": 0.9265, + "step": 544 + }, + { + "epoch": 0.04, + "learning_rate": 9.998686917390575e-06, + "loss": 1.1029, + "step": 545 + }, + { + "epoch": 0.04, + "learning_rate": 9.998661545532142e-06, + "loss": 1.0182, + "step": 546 + }, + { + "epoch": 0.04, + "learning_rate": 9.998635930924346e-06, + "loss": 1.1153, + "step": 547 + }, + { + "epoch": 0.04, + "learning_rate": 9.998610073568428e-06, + "loss": 1.1893, + "step": 548 + }, + { + "epoch": 0.04, + "learning_rate": 9.998583973465647e-06, + "loss": 0.8113, + "step": 549 + }, + { + "epoch": 0.04, + "learning_rate": 9.998557630617266e-06, + "loss": 0.8888, + "step": 550 + }, + { + "epoch": 0.04, + "learning_rate": 9.998531045024567e-06, + "loss": 0.8428, + "step": 551 + }, + { + "epoch": 0.04, + "learning_rate": 9.99850421668884e-06, + "loss": 0.6468, + "step": 552 + }, + { + "epoch": 0.04, + "learning_rate": 9.998477145611389e-06, + "loss": 0.9844, + "step": 553 + }, + { + "epoch": 0.04, + "learning_rate": 9.998449831793528e-06, + "loss": 0.8977, + "step": 554 + }, + { + "epoch": 0.04, + "learning_rate": 9.998422275236584e-06, + "loss": 0.9396, + "step": 555 + }, + { + "epoch": 0.04, + "learning_rate": 9.998394475941895e-06, + "loss": 1.0258, + "step": 556 + }, + { + "epoch": 0.04, + "learning_rate": 9.99836643391081e-06, + "loss": 0.6159, + "step": 557 + }, + { + "epoch": 0.04, + "learning_rate": 9.998338149144693e-06, + "loss": 1.2241, + "step": 558 + }, + { + "epoch": 0.04, + "learning_rate": 9.998309621644915e-06, + "loss": 0.8942, + "step": 559 + }, + { + "epoch": 0.04, + "learning_rate": 9.998280851412862e-06, + "loss": 1.0843, + "step": 560 + }, + { + "epoch": 0.04, + "learning_rate": 9.998251838449932e-06, + "loss": 0.7246, + "step": 561 + }, + { + "epoch": 0.04, + "learning_rate": 9.998222582757533e-06, + "loss": 0.814, + "step": 562 + }, + { + "epoch": 0.04, + "learning_rate": 9.99819308433709e-06, + "loss": 0.6943, + "step": 563 + }, + { + "epoch": 0.04, + "learning_rate": 9.998163343190028e-06, + "loss": 0.9997, + "step": 564 + }, + { + "epoch": 0.04, + "learning_rate": 9.998133359317797e-06, + "loss": 0.6625, + "step": 565 + }, + { + "epoch": 0.04, + "learning_rate": 9.99810313272185e-06, + "loss": 1.1172, + "step": 566 + }, + { + "epoch": 0.04, + "learning_rate": 9.998072663403657e-06, + "loss": 1.2199, + "step": 567 + }, + { + "epoch": 0.04, + "learning_rate": 9.998041951364696e-06, + "loss": 1.0306, + "step": 568 + }, + { + "epoch": 0.04, + "learning_rate": 9.99801099660646e-06, + "loss": 1.0597, + "step": 569 + }, + { + "epoch": 0.04, + "learning_rate": 9.997979799130453e-06, + "loss": 0.7157, + "step": 570 + }, + { + "epoch": 0.04, + "learning_rate": 9.997948358938188e-06, + "loss": 1.003, + "step": 571 + }, + { + "epoch": 0.04, + "learning_rate": 9.997916676031192e-06, + "loss": 1.1984, + "step": 572 + }, + { + "epoch": 0.04, + "learning_rate": 9.997884750411004e-06, + "loss": 0.7911, + "step": 573 + }, + { + "epoch": 0.04, + "learning_rate": 9.997852582079174e-06, + "loss": 0.8022, + "step": 574 + }, + { + "epoch": 0.04, + "learning_rate": 9.997820171037266e-06, + "loss": 1.1303, + "step": 575 + }, + { + "epoch": 0.04, + "learning_rate": 9.997787517286852e-06, + "loss": 0.7424, + "step": 576 + }, + { + "epoch": 0.04, + "learning_rate": 9.99775462082952e-06, + "loss": 0.805, + "step": 577 + }, + { + "epoch": 0.04, + "learning_rate": 9.997721481666863e-06, + "loss": 0.8207, + "step": 578 + }, + { + "epoch": 0.04, + "learning_rate": 9.997688099800496e-06, + "loss": 1.015, + "step": 579 + }, + { + "epoch": 0.04, + "learning_rate": 9.997654475232035e-06, + "loss": 0.9507, + "step": 580 + }, + { + "epoch": 0.04, + "learning_rate": 9.997620607963116e-06, + "loss": 0.7859, + "step": 581 + }, + { + "epoch": 0.04, + "learning_rate": 9.997586497995383e-06, + "loss": 0.8426, + "step": 582 + }, + { + "epoch": 0.04, + "learning_rate": 9.997552145330494e-06, + "loss": 0.9555, + "step": 583 + }, + { + "epoch": 0.04, + "learning_rate": 9.997517549970116e-06, + "loss": 1.0098, + "step": 584 + }, + { + "epoch": 0.04, + "learning_rate": 9.997482711915926e-06, + "loss": 0.7383, + "step": 585 + }, + { + "epoch": 0.04, + "learning_rate": 9.997447631169622e-06, + "loss": 1.0562, + "step": 586 + }, + { + "epoch": 0.04, + "learning_rate": 9.9974123077329e-06, + "loss": 0.9193, + "step": 587 + }, + { + "epoch": 0.04, + "learning_rate": 9.997376741607482e-06, + "loss": 1.0952, + "step": 588 + }, + { + "epoch": 0.04, + "learning_rate": 9.997340932795094e-06, + "loss": 0.9795, + "step": 589 + }, + { + "epoch": 0.04, + "learning_rate": 9.997304881297474e-06, + "loss": 1.0383, + "step": 590 + }, + { + "epoch": 0.04, + "learning_rate": 9.997268587116372e-06, + "loss": 0.8487, + "step": 591 + }, + { + "epoch": 0.04, + "learning_rate": 9.997232050253549e-06, + "loss": 1.1559, + "step": 592 + }, + { + "epoch": 0.04, + "learning_rate": 9.997195270710784e-06, + "loss": 0.8201, + "step": 593 + }, + { + "epoch": 0.04, + "learning_rate": 9.99715824848986e-06, + "loss": 0.8703, + "step": 594 + }, + { + "epoch": 0.04, + "learning_rate": 9.997120983592576e-06, + "loss": 1.0464, + "step": 595 + }, + { + "epoch": 0.04, + "learning_rate": 9.99708347602074e-06, + "loss": 0.7406, + "step": 596 + }, + { + "epoch": 0.04, + "learning_rate": 9.997045725776175e-06, + "loss": 0.9317, + "step": 597 + }, + { + "epoch": 0.04, + "learning_rate": 9.997007732860716e-06, + "loss": 0.9453, + "step": 598 + }, + { + "epoch": 0.04, + "learning_rate": 9.996969497276204e-06, + "loss": 0.6378, + "step": 599 + }, + { + "epoch": 0.04, + "learning_rate": 9.996931019024498e-06, + "loss": 0.9311, + "step": 600 + }, + { + "epoch": 0.04, + "learning_rate": 9.996892298107466e-06, + "loss": 0.7054, + "step": 601 + }, + { + "epoch": 0.04, + "learning_rate": 9.99685333452699e-06, + "loss": 0.7005, + "step": 602 + }, + { + "epoch": 0.04, + "learning_rate": 9.99681412828496e-06, + "loss": 0.8484, + "step": 603 + }, + { + "epoch": 0.04, + "learning_rate": 9.996774679383281e-06, + "loss": 0.7731, + "step": 604 + }, + { + "epoch": 0.04, + "learning_rate": 9.996734987823869e-06, + "loss": 0.8296, + "step": 605 + }, + { + "epoch": 0.04, + "learning_rate": 9.996695053608651e-06, + "loss": 1.1222, + "step": 606 + }, + { + "epoch": 0.04, + "learning_rate": 9.996654876739566e-06, + "loss": 0.9667, + "step": 607 + }, + { + "epoch": 0.04, + "learning_rate": 9.996614457218568e-06, + "loss": 1.1136, + "step": 608 + }, + { + "epoch": 0.04, + "learning_rate": 9.996573795047616e-06, + "loss": 0.7122, + "step": 609 + }, + { + "epoch": 0.04, + "learning_rate": 9.996532890228687e-06, + "loss": 0.8282, + "step": 610 + }, + { + "epoch": 0.04, + "learning_rate": 9.996491742763766e-06, + "loss": 1.0208, + "step": 611 + }, + { + "epoch": 0.04, + "learning_rate": 9.996450352654852e-06, + "loss": 1.018, + "step": 612 + }, + { + "epoch": 0.04, + "learning_rate": 9.996408719903956e-06, + "loss": 0.9424, + "step": 613 + }, + { + "epoch": 0.04, + "learning_rate": 9.996366844513097e-06, + "loss": 0.8931, + "step": 614 + }, + { + "epoch": 0.04, + "learning_rate": 9.996324726484313e-06, + "loss": 0.7995, + "step": 615 + }, + { + "epoch": 0.04, + "learning_rate": 9.996282365819644e-06, + "loss": 0.6003, + "step": 616 + }, + { + "epoch": 0.04, + "learning_rate": 9.996239762521152e-06, + "loss": 0.9366, + "step": 617 + }, + { + "epoch": 0.04, + "learning_rate": 9.996196916590902e-06, + "loss": 0.7289, + "step": 618 + }, + { + "epoch": 0.04, + "learning_rate": 9.996153828030978e-06, + "loss": 0.5565, + "step": 619 + }, + { + "epoch": 0.04, + "learning_rate": 9.99611049684347e-06, + "loss": 0.7998, + "step": 620 + }, + { + "epoch": 0.04, + "learning_rate": 9.996066923030484e-06, + "loss": 0.8477, + "step": 621 + }, + { + "epoch": 0.04, + "learning_rate": 9.996023106594135e-06, + "loss": 0.7558, + "step": 622 + }, + { + "epoch": 0.04, + "learning_rate": 9.995979047536553e-06, + "loss": 1.3387, + "step": 623 + }, + { + "epoch": 0.04, + "learning_rate": 9.995934745859873e-06, + "loss": 1.1974, + "step": 624 + }, + { + "epoch": 0.04, + "learning_rate": 9.995890201566251e-06, + "loss": 0.9241, + "step": 625 + }, + { + "epoch": 0.04, + "learning_rate": 9.995845414657849e-06, + "loss": 0.4868, + "step": 626 + }, + { + "epoch": 0.04, + "learning_rate": 9.99580038513684e-06, + "loss": 1.0591, + "step": 627 + }, + { + "epoch": 0.04, + "learning_rate": 9.995755113005414e-06, + "loss": 0.8194, + "step": 628 + }, + { + "epoch": 0.04, + "learning_rate": 9.995709598265765e-06, + "loss": 0.666, + "step": 629 + }, + { + "epoch": 0.04, + "learning_rate": 9.995663840920109e-06, + "loss": 0.8259, + "step": 630 + }, + { + "epoch": 0.04, + "learning_rate": 9.995617840970664e-06, + "loss": 1.0881, + "step": 631 + }, + { + "epoch": 0.04, + "learning_rate": 9.995571598419667e-06, + "loss": 0.6999, + "step": 632 + }, + { + "epoch": 0.04, + "learning_rate": 9.99552511326936e-06, + "loss": 0.7324, + "step": 633 + }, + { + "epoch": 0.04, + "learning_rate": 9.995478385522002e-06, + "loss": 0.8462, + "step": 634 + }, + { + "epoch": 0.04, + "learning_rate": 9.995431415179864e-06, + "loss": 1.1179, + "step": 635 + }, + { + "epoch": 0.04, + "learning_rate": 9.995384202245224e-06, + "loss": 0.8413, + "step": 636 + }, + { + "epoch": 0.04, + "learning_rate": 9.995336746720376e-06, + "loss": 1.1809, + "step": 637 + }, + { + "epoch": 0.04, + "learning_rate": 9.995289048607627e-06, + "loss": 0.9695, + "step": 638 + }, + { + "epoch": 0.04, + "learning_rate": 9.99524110790929e-06, + "loss": 0.6834, + "step": 639 + }, + { + "epoch": 0.04, + "learning_rate": 9.995192924627694e-06, + "loss": 1.0083, + "step": 640 + }, + { + "epoch": 0.04, + "learning_rate": 9.995144498765179e-06, + "loss": 0.8407, + "step": 641 + }, + { + "epoch": 0.04, + "learning_rate": 9.995095830324099e-06, + "loss": 0.7773, + "step": 642 + }, + { + "epoch": 0.04, + "learning_rate": 9.995046919306814e-06, + "loss": 0.9561, + "step": 643 + }, + { + "epoch": 0.04, + "learning_rate": 9.9949977657157e-06, + "loss": 0.9485, + "step": 644 + }, + { + "epoch": 0.04, + "learning_rate": 9.994948369553146e-06, + "loss": 0.7437, + "step": 645 + }, + { + "epoch": 0.04, + "learning_rate": 9.99489873082155e-06, + "loss": 1.0295, + "step": 646 + }, + { + "epoch": 0.04, + "learning_rate": 9.994848849523322e-06, + "loss": 0.6941, + "step": 647 + }, + { + "epoch": 0.04, + "learning_rate": 9.994798725660884e-06, + "loss": 1.0064, + "step": 648 + }, + { + "epoch": 0.04, + "learning_rate": 9.99474835923667e-06, + "loss": 0.9345, + "step": 649 + }, + { + "epoch": 0.04, + "learning_rate": 9.994697750253127e-06, + "loss": 0.6706, + "step": 650 + }, + { + "epoch": 0.04, + "learning_rate": 9.994646898712713e-06, + "loss": 0.9667, + "step": 651 + }, + { + "epoch": 0.04, + "learning_rate": 9.994595804617897e-06, + "loss": 0.8079, + "step": 652 + }, + { + "epoch": 0.04, + "learning_rate": 9.994544467971159e-06, + "loss": 1.0069, + "step": 653 + }, + { + "epoch": 0.04, + "learning_rate": 9.994492888774996e-06, + "loss": 0.9708, + "step": 654 + }, + { + "epoch": 0.04, + "learning_rate": 9.994441067031906e-06, + "loss": 0.8045, + "step": 655 + }, + { + "epoch": 0.04, + "learning_rate": 9.994389002744414e-06, + "loss": 0.913, + "step": 656 + }, + { + "epoch": 0.04, + "learning_rate": 9.994336695915041e-06, + "loss": 0.6229, + "step": 657 + }, + { + "epoch": 0.04, + "learning_rate": 9.994284146546332e-06, + "loss": 0.8022, + "step": 658 + }, + { + "epoch": 0.04, + "learning_rate": 9.994231354640835e-06, + "loss": 1.0338, + "step": 659 + }, + { + "epoch": 0.04, + "learning_rate": 9.994178320201117e-06, + "loss": 1.0191, + "step": 660 + }, + { + "epoch": 0.04, + "learning_rate": 9.994125043229753e-06, + "loss": 0.9216, + "step": 661 + }, + { + "epoch": 0.05, + "learning_rate": 9.99407152372933e-06, + "loss": 0.8117, + "step": 662 + }, + { + "epoch": 0.05, + "learning_rate": 9.994017761702446e-06, + "loss": 0.891, + "step": 663 + }, + { + "epoch": 0.05, + "learning_rate": 9.993963757151713e-06, + "loss": 0.7839, + "step": 664 + }, + { + "epoch": 0.05, + "learning_rate": 9.993909510079752e-06, + "loss": 0.9883, + "step": 665 + }, + { + "epoch": 0.05, + "learning_rate": 9.993855020489198e-06, + "loss": 0.9923, + "step": 666 + }, + { + "epoch": 0.05, + "learning_rate": 9.9938002883827e-06, + "loss": 0.687, + "step": 667 + }, + { + "epoch": 0.05, + "learning_rate": 9.993745313762913e-06, + "loss": 0.9995, + "step": 668 + }, + { + "epoch": 0.05, + "learning_rate": 9.993690096632507e-06, + "loss": 0.8745, + "step": 669 + }, + { + "epoch": 0.05, + "learning_rate": 9.993634636994165e-06, + "loss": 0.8541, + "step": 670 + }, + { + "epoch": 0.05, + "learning_rate": 9.993578934850579e-06, + "loss": 0.9272, + "step": 671 + }, + { + "epoch": 0.05, + "learning_rate": 9.993522990204453e-06, + "loss": 0.7993, + "step": 672 + }, + { + "epoch": 0.05, + "learning_rate": 9.993466803058505e-06, + "loss": 0.8555, + "step": 673 + }, + { + "epoch": 0.05, + "learning_rate": 9.993410373415465e-06, + "loss": 0.918, + "step": 674 + }, + { + "epoch": 0.05, + "learning_rate": 9.993353701278072e-06, + "loss": 1.0979, + "step": 675 + }, + { + "epoch": 0.05, + "learning_rate": 9.993296786649078e-06, + "loss": 0.8213, + "step": 676 + }, + { + "epoch": 0.05, + "learning_rate": 9.993239629531247e-06, + "loss": 1.0264, + "step": 677 + }, + { + "epoch": 0.05, + "learning_rate": 9.993182229927356e-06, + "loss": 0.9114, + "step": 678 + }, + { + "epoch": 0.05, + "learning_rate": 9.993124587840191e-06, + "loss": 0.799, + "step": 679 + }, + { + "epoch": 0.05, + "learning_rate": 9.99306670327255e-06, + "loss": 1.0365, + "step": 680 + }, + { + "epoch": 0.05, + "learning_rate": 9.993008576227248e-06, + "loss": 1.0552, + "step": 681 + }, + { + "epoch": 0.05, + "learning_rate": 9.992950206707104e-06, + "loss": 1.0555, + "step": 682 + }, + { + "epoch": 0.05, + "learning_rate": 9.992891594714954e-06, + "loss": 0.9426, + "step": 683 + }, + { + "epoch": 0.05, + "learning_rate": 9.992832740253646e-06, + "loss": 0.6923, + "step": 684 + }, + { + "epoch": 0.05, + "learning_rate": 9.992773643326034e-06, + "loss": 1.0317, + "step": 685 + }, + { + "epoch": 0.05, + "learning_rate": 9.992714303934993e-06, + "loss": 1.0452, + "step": 686 + }, + { + "epoch": 0.05, + "learning_rate": 9.992654722083401e-06, + "loss": 0.9683, + "step": 687 + }, + { + "epoch": 0.05, + "learning_rate": 9.992594897774155e-06, + "loss": 0.9734, + "step": 688 + }, + { + "epoch": 0.05, + "learning_rate": 9.992534831010155e-06, + "loss": 0.8736, + "step": 689 + }, + { + "epoch": 0.05, + "learning_rate": 9.992474521794322e-06, + "loss": 0.89, + "step": 690 + }, + { + "epoch": 0.05, + "learning_rate": 9.992413970129584e-06, + "loss": 1.0117, + "step": 691 + }, + { + "epoch": 0.05, + "learning_rate": 9.99235317601888e-06, + "loss": 0.7857, + "step": 692 + }, + { + "epoch": 0.05, + "learning_rate": 9.992292139465166e-06, + "loss": 0.8763, + "step": 693 + }, + { + "epoch": 0.05, + "learning_rate": 9.992230860471402e-06, + "loss": 0.863, + "step": 694 + }, + { + "epoch": 0.05, + "learning_rate": 9.992169339040567e-06, + "loss": 0.8634, + "step": 695 + }, + { + "epoch": 0.05, + "learning_rate": 9.992107575175647e-06, + "loss": 0.8397, + "step": 696 + }, + { + "epoch": 0.05, + "learning_rate": 9.99204556887964e-06, + "loss": 0.9133, + "step": 697 + }, + { + "epoch": 0.05, + "learning_rate": 9.99198332015556e-06, + "loss": 0.8809, + "step": 698 + }, + { + "epoch": 0.05, + "learning_rate": 9.991920829006429e-06, + "loss": 1.0297, + "step": 699 + }, + { + "epoch": 0.05, + "learning_rate": 9.991858095435284e-06, + "loss": 0.7653, + "step": 700 + }, + { + "epoch": 0.05, + "learning_rate": 9.991795119445165e-06, + "loss": 0.6905, + "step": 701 + }, + { + "epoch": 0.05, + "learning_rate": 9.991731901039137e-06, + "loss": 1.0048, + "step": 702 + }, + { + "epoch": 0.05, + "learning_rate": 9.991668440220269e-06, + "loss": 1.0553, + "step": 703 + }, + { + "epoch": 0.05, + "learning_rate": 9.991604736991638e-06, + "loss": 0.9565, + "step": 704 + }, + { + "epoch": 0.05, + "learning_rate": 9.991540791356342e-06, + "loss": 0.9506, + "step": 705 + }, + { + "epoch": 0.05, + "learning_rate": 9.991476603317486e-06, + "loss": 1.1772, + "step": 706 + }, + { + "epoch": 0.05, + "learning_rate": 9.991412172878186e-06, + "loss": 1.1097, + "step": 707 + }, + { + "epoch": 0.05, + "learning_rate": 9.991347500041571e-06, + "loss": 0.7317, + "step": 708 + }, + { + "epoch": 0.05, + "learning_rate": 9.991282584810784e-06, + "loss": 1.1012, + "step": 709 + }, + { + "epoch": 0.05, + "learning_rate": 9.991217427188975e-06, + "loss": 1.0166, + "step": 710 + }, + { + "epoch": 0.05, + "learning_rate": 9.991152027179307e-06, + "loss": 0.679, + "step": 711 + }, + { + "epoch": 0.05, + "learning_rate": 9.99108638478496e-06, + "loss": 1.0204, + "step": 712 + }, + { + "epoch": 0.05, + "learning_rate": 9.991020500009118e-06, + "loss": 0.9321, + "step": 713 + }, + { + "epoch": 0.05, + "learning_rate": 9.990954372854985e-06, + "loss": 0.96, + "step": 714 + }, + { + "epoch": 0.05, + "learning_rate": 9.990888003325766e-06, + "loss": 0.8274, + "step": 715 + }, + { + "epoch": 0.05, + "learning_rate": 9.990821391424689e-06, + "loss": 0.9132, + "step": 716 + }, + { + "epoch": 0.05, + "learning_rate": 9.99075453715499e-06, + "loss": 0.7669, + "step": 717 + }, + { + "epoch": 0.05, + "learning_rate": 9.99068744051991e-06, + "loss": 0.8302, + "step": 718 + }, + { + "epoch": 0.05, + "learning_rate": 9.990620101522713e-06, + "loss": 0.8255, + "step": 719 + }, + { + "epoch": 0.05, + "learning_rate": 9.990552520166664e-06, + "loss": 0.917, + "step": 720 + }, + { + "epoch": 0.05, + "learning_rate": 9.99048469645505e-06, + "loss": 0.8114, + "step": 721 + }, + { + "epoch": 0.05, + "learning_rate": 9.990416630391161e-06, + "loss": 1.1028, + "step": 722 + }, + { + "epoch": 0.05, + "learning_rate": 9.990348321978304e-06, + "loss": 0.6827, + "step": 723 + }, + { + "epoch": 0.05, + "learning_rate": 9.990279771219796e-06, + "loss": 0.8701, + "step": 724 + }, + { + "epoch": 0.05, + "learning_rate": 9.990210978118967e-06, + "loss": 1.0165, + "step": 725 + }, + { + "epoch": 0.05, + "learning_rate": 9.990141942679157e-06, + "loss": 0.9197, + "step": 726 + }, + { + "epoch": 0.05, + "learning_rate": 9.990072664903717e-06, + "loss": 0.9114, + "step": 727 + }, + { + "epoch": 0.05, + "learning_rate": 9.990003144796014e-06, + "loss": 0.9476, + "step": 728 + }, + { + "epoch": 0.05, + "learning_rate": 9.989933382359423e-06, + "loss": 0.8018, + "step": 729 + }, + { + "epoch": 0.05, + "learning_rate": 9.989863377597331e-06, + "loss": 0.9666, + "step": 730 + }, + { + "epoch": 0.05, + "learning_rate": 9.989793130513138e-06, + "loss": 0.9666, + "step": 731 + }, + { + "epoch": 0.05, + "learning_rate": 9.989722641110258e-06, + "loss": 0.4707, + "step": 732 + }, + { + "epoch": 0.05, + "learning_rate": 9.98965190939211e-06, + "loss": 1.012, + "step": 733 + }, + { + "epoch": 0.05, + "learning_rate": 9.989580935362133e-06, + "loss": 0.8088, + "step": 734 + }, + { + "epoch": 0.05, + "learning_rate": 9.98950971902377e-06, + "loss": 0.9398, + "step": 735 + }, + { + "epoch": 0.05, + "learning_rate": 9.989438260380481e-06, + "loss": 0.9767, + "step": 736 + }, + { + "epoch": 0.05, + "learning_rate": 9.989366559435736e-06, + "loss": 0.9475, + "step": 737 + }, + { + "epoch": 0.05, + "learning_rate": 9.989294616193018e-06, + "loss": 1.2218, + "step": 738 + }, + { + "epoch": 0.05, + "learning_rate": 9.98922243065582e-06, + "loss": 0.9277, + "step": 739 + }, + { + "epoch": 0.05, + "learning_rate": 9.989150002827647e-06, + "loss": 0.9842, + "step": 740 + }, + { + "epoch": 0.05, + "learning_rate": 9.989077332712019e-06, + "loss": 0.8288, + "step": 741 + }, + { + "epoch": 0.05, + "learning_rate": 9.989004420312461e-06, + "loss": 0.9884, + "step": 742 + }, + { + "epoch": 0.05, + "learning_rate": 9.988931265632517e-06, + "loss": 1.1002, + "step": 743 + }, + { + "epoch": 0.05, + "learning_rate": 9.98885786867574e-06, + "loss": 1.1019, + "step": 744 + }, + { + "epoch": 0.05, + "learning_rate": 9.988784229445689e-06, + "loss": 0.9135, + "step": 745 + }, + { + "epoch": 0.05, + "learning_rate": 9.988710347945946e-06, + "loss": 1.0187, + "step": 746 + }, + { + "epoch": 0.05, + "learning_rate": 9.988636224180097e-06, + "loss": 1.0357, + "step": 747 + }, + { + "epoch": 0.05, + "learning_rate": 9.98856185815174e-06, + "loss": 0.9085, + "step": 748 + }, + { + "epoch": 0.05, + "learning_rate": 9.98848724986449e-06, + "loss": 0.7701, + "step": 749 + }, + { + "epoch": 0.05, + "learning_rate": 9.988412399321965e-06, + "loss": 0.7242, + "step": 750 + }, + { + "epoch": 0.05, + "learning_rate": 9.988337306527807e-06, + "loss": 1.1952, + "step": 751 + }, + { + "epoch": 0.05, + "learning_rate": 9.988261971485657e-06, + "loss": 0.9736, + "step": 752 + }, + { + "epoch": 0.05, + "learning_rate": 9.988186394199175e-06, + "loss": 0.9072, + "step": 753 + }, + { + "epoch": 0.05, + "learning_rate": 9.988110574672031e-06, + "loss": 1.1, + "step": 754 + }, + { + "epoch": 0.05, + "learning_rate": 9.988034512907909e-06, + "loss": 0.9729, + "step": 755 + }, + { + "epoch": 0.05, + "learning_rate": 9.9879582089105e-06, + "loss": 0.556, + "step": 756 + }, + { + "epoch": 0.05, + "learning_rate": 9.987881662683514e-06, + "loss": 0.7109, + "step": 757 + }, + { + "epoch": 0.05, + "learning_rate": 9.987804874230662e-06, + "loss": 0.689, + "step": 758 + }, + { + "epoch": 0.05, + "learning_rate": 9.987727843555677e-06, + "loss": 0.7439, + "step": 759 + }, + { + "epoch": 0.05, + "learning_rate": 9.9876505706623e-06, + "loss": 0.9961, + "step": 760 + }, + { + "epoch": 0.05, + "learning_rate": 9.98757305555428e-06, + "loss": 0.9773, + "step": 761 + }, + { + "epoch": 0.05, + "learning_rate": 9.987495298235386e-06, + "loss": 0.7225, + "step": 762 + }, + { + "epoch": 0.05, + "learning_rate": 9.987417298709393e-06, + "loss": 0.8906, + "step": 763 + }, + { + "epoch": 0.05, + "learning_rate": 9.987339056980086e-06, + "loss": 1.0509, + "step": 764 + }, + { + "epoch": 0.05, + "learning_rate": 9.987260573051268e-06, + "loss": 0.8076, + "step": 765 + }, + { + "epoch": 0.05, + "learning_rate": 9.987181846926751e-06, + "loss": 0.7733, + "step": 766 + }, + { + "epoch": 0.05, + "learning_rate": 9.987102878610353e-06, + "loss": 1.0183, + "step": 767 + }, + { + "epoch": 0.05, + "learning_rate": 9.987023668105913e-06, + "loss": 0.7147, + "step": 768 + }, + { + "epoch": 0.05, + "learning_rate": 9.986944215417276e-06, + "loss": 0.8549, + "step": 769 + }, + { + "epoch": 0.05, + "learning_rate": 9.986864520548303e-06, + "loss": 0.5676, + "step": 770 + }, + { + "epoch": 0.05, + "learning_rate": 9.986784583502863e-06, + "loss": 0.9589, + "step": 771 + }, + { + "epoch": 0.05, + "learning_rate": 9.986704404284834e-06, + "loss": 1.1171, + "step": 772 + }, + { + "epoch": 0.05, + "learning_rate": 9.986623982898118e-06, + "loss": 0.8307, + "step": 773 + }, + { + "epoch": 0.05, + "learning_rate": 9.986543319346613e-06, + "loss": 0.9294, + "step": 774 + }, + { + "epoch": 0.05, + "learning_rate": 9.98646241363424e-06, + "loss": 0.9143, + "step": 775 + }, + { + "epoch": 0.05, + "learning_rate": 9.986381265764927e-06, + "loss": 1.042, + "step": 776 + }, + { + "epoch": 0.05, + "learning_rate": 9.986299875742612e-06, + "loss": 0.8004, + "step": 777 + }, + { + "epoch": 0.05, + "learning_rate": 9.986218243571253e-06, + "loss": 0.7599, + "step": 778 + }, + { + "epoch": 0.05, + "learning_rate": 9.98613636925481e-06, + "loss": 1.0906, + "step": 779 + }, + { + "epoch": 0.05, + "learning_rate": 9.986054252797264e-06, + "loss": 0.9139, + "step": 780 + }, + { + "epoch": 0.05, + "learning_rate": 9.985971894202596e-06, + "loss": 0.9434, + "step": 781 + }, + { + "epoch": 0.05, + "learning_rate": 9.98588929347481e-06, + "loss": 1.0159, + "step": 782 + }, + { + "epoch": 0.05, + "learning_rate": 9.985806450617916e-06, + "loss": 0.8714, + "step": 783 + }, + { + "epoch": 0.05, + "learning_rate": 9.985723365635939e-06, + "loss": 0.9299, + "step": 784 + }, + { + "epoch": 0.05, + "learning_rate": 9.98564003853291e-06, + "loss": 0.8276, + "step": 785 + }, + { + "epoch": 0.05, + "learning_rate": 9.98555646931288e-06, + "loss": 1.0971, + "step": 786 + }, + { + "epoch": 0.05, + "learning_rate": 9.985472657979904e-06, + "loss": 0.7184, + "step": 787 + }, + { + "epoch": 0.05, + "learning_rate": 9.985388604538055e-06, + "loss": 0.6482, + "step": 788 + }, + { + "epoch": 0.05, + "learning_rate": 9.985304308991412e-06, + "loss": 0.9537, + "step": 789 + }, + { + "epoch": 0.05, + "learning_rate": 9.98521977134407e-06, + "loss": 0.8789, + "step": 790 + }, + { + "epoch": 0.05, + "learning_rate": 9.985134991600135e-06, + "loss": 0.9967, + "step": 791 + }, + { + "epoch": 0.05, + "learning_rate": 9.985049969763721e-06, + "loss": 0.7109, + "step": 792 + }, + { + "epoch": 0.05, + "learning_rate": 9.98496470583896e-06, + "loss": 0.7495, + "step": 793 + }, + { + "epoch": 0.05, + "learning_rate": 9.984879199829994e-06, + "loss": 0.8907, + "step": 794 + }, + { + "epoch": 0.05, + "learning_rate": 9.984793451740972e-06, + "loss": 1.0264, + "step": 795 + }, + { + "epoch": 0.05, + "learning_rate": 9.98470746157606e-06, + "loss": 0.9792, + "step": 796 + }, + { + "epoch": 0.05, + "learning_rate": 9.984621229339434e-06, + "loss": 1.2087, + "step": 797 + }, + { + "epoch": 0.05, + "learning_rate": 9.98453475503528e-06, + "loss": 0.961, + "step": 798 + }, + { + "epoch": 0.05, + "learning_rate": 9.9844480386678e-06, + "loss": 0.7172, + "step": 799 + }, + { + "epoch": 0.05, + "learning_rate": 9.984361080241204e-06, + "loss": 0.8242, + "step": 800 + }, + { + "epoch": 0.05, + "learning_rate": 9.984273879759713e-06, + "loss": 0.7281, + "step": 801 + }, + { + "epoch": 0.05, + "learning_rate": 9.984186437227564e-06, + "loss": 0.7914, + "step": 802 + }, + { + "epoch": 0.05, + "learning_rate": 9.984098752649004e-06, + "loss": 0.736, + "step": 803 + }, + { + "epoch": 0.05, + "learning_rate": 9.984010826028289e-06, + "loss": 0.633, + "step": 804 + }, + { + "epoch": 0.05, + "learning_rate": 9.98392265736969e-06, + "loss": 0.843, + "step": 805 + }, + { + "epoch": 0.05, + "learning_rate": 9.983834246677489e-06, + "loss": 0.6566, + "step": 806 + }, + { + "epoch": 0.05, + "learning_rate": 9.98374559395598e-06, + "loss": 0.8687, + "step": 807 + }, + { + "epoch": 0.05, + "learning_rate": 9.983656699209467e-06, + "loss": 0.9731, + "step": 808 + }, + { + "epoch": 0.06, + "learning_rate": 9.98356756244227e-06, + "loss": 0.9285, + "step": 809 + }, + { + "epoch": 0.06, + "learning_rate": 9.983478183658712e-06, + "loss": 0.7114, + "step": 810 + }, + { + "epoch": 0.06, + "learning_rate": 9.983388562863138e-06, + "loss": 0.874, + "step": 811 + }, + { + "epoch": 0.06, + "learning_rate": 9.983298700059898e-06, + "loss": 0.7764, + "step": 812 + }, + { + "epoch": 0.06, + "learning_rate": 9.983208595253359e-06, + "loss": 0.8247, + "step": 813 + }, + { + "epoch": 0.06, + "learning_rate": 9.983118248447894e-06, + "loss": 0.9693, + "step": 814 + }, + { + "epoch": 0.06, + "learning_rate": 9.98302765964789e-06, + "loss": 0.791, + "step": 815 + }, + { + "epoch": 0.06, + "learning_rate": 9.982936828857749e-06, + "loss": 0.9437, + "step": 816 + }, + { + "epoch": 0.06, + "learning_rate": 9.98284575608188e-06, + "loss": 1.0417, + "step": 817 + }, + { + "epoch": 0.06, + "learning_rate": 9.982754441324707e-06, + "loss": 0.8688, + "step": 818 + }, + { + "epoch": 0.06, + "learning_rate": 9.982662884590662e-06, + "loss": 0.8816, + "step": 819 + }, + { + "epoch": 0.06, + "learning_rate": 9.982571085884195e-06, + "loss": 0.9904, + "step": 820 + }, + { + "epoch": 0.06, + "learning_rate": 9.98247904520976e-06, + "loss": 0.6892, + "step": 821 + }, + { + "epoch": 0.06, + "learning_rate": 9.98238676257183e-06, + "loss": 1.1648, + "step": 822 + }, + { + "epoch": 0.06, + "learning_rate": 9.982294237974885e-06, + "loss": 0.8184, + "step": 823 + }, + { + "epoch": 0.06, + "learning_rate": 9.98220147142342e-06, + "loss": 1.142, + "step": 824 + }, + { + "epoch": 0.06, + "learning_rate": 9.982108462921938e-06, + "loss": 0.937, + "step": 825 + }, + { + "epoch": 0.06, + "learning_rate": 9.982015212474955e-06, + "loss": 0.9604, + "step": 826 + }, + { + "epoch": 0.06, + "learning_rate": 9.981921720087002e-06, + "loss": 0.8462, + "step": 827 + }, + { + "epoch": 0.06, + "learning_rate": 9.981827985762618e-06, + "loss": 1.1554, + "step": 828 + }, + { + "epoch": 0.06, + "learning_rate": 9.981734009506353e-06, + "loss": 0.7734, + "step": 829 + }, + { + "epoch": 0.06, + "learning_rate": 9.981639791322777e-06, + "loss": 1.1122, + "step": 830 + }, + { + "epoch": 0.06, + "learning_rate": 9.981545331216458e-06, + "loss": 0.5724, + "step": 831 + }, + { + "epoch": 0.06, + "learning_rate": 9.981450629191988e-06, + "loss": 0.7601, + "step": 832 + }, + { + "epoch": 0.06, + "learning_rate": 9.981355685253965e-06, + "loss": 0.9869, + "step": 833 + }, + { + "epoch": 0.06, + "learning_rate": 9.981260499407e-06, + "loss": 0.802, + "step": 834 + }, + { + "epoch": 0.06, + "learning_rate": 9.981165071655712e-06, + "loss": 1.0743, + "step": 835 + }, + { + "epoch": 0.06, + "learning_rate": 9.98106940200474e-06, + "loss": 1.1156, + "step": 836 + }, + { + "epoch": 0.06, + "learning_rate": 9.980973490458728e-06, + "loss": 0.654, + "step": 837 + }, + { + "epoch": 0.06, + "learning_rate": 9.980877337022334e-06, + "loss": 0.5341, + "step": 838 + }, + { + "epoch": 0.06, + "learning_rate": 9.980780941700227e-06, + "loss": 0.5768, + "step": 839 + }, + { + "epoch": 0.06, + "learning_rate": 9.98068430449709e-06, + "loss": 0.932, + "step": 840 + }, + { + "epoch": 0.06, + "learning_rate": 9.980587425417612e-06, + "loss": 0.7007, + "step": 841 + }, + { + "epoch": 0.06, + "learning_rate": 9.980490304466503e-06, + "loss": 0.912, + "step": 842 + }, + { + "epoch": 0.06, + "learning_rate": 9.980392941648476e-06, + "loss": 0.8129, + "step": 843 + }, + { + "epoch": 0.06, + "learning_rate": 9.98029533696826e-06, + "loss": 0.852, + "step": 844 + }, + { + "epoch": 0.06, + "learning_rate": 9.980197490430592e-06, + "loss": 1.0018, + "step": 845 + }, + { + "epoch": 0.06, + "learning_rate": 9.980099402040231e-06, + "loss": 0.6849, + "step": 846 + }, + { + "epoch": 0.06, + "learning_rate": 9.980001071801933e-06, + "loss": 0.9769, + "step": 847 + }, + { + "epoch": 0.06, + "learning_rate": 9.979902499720477e-06, + "loss": 0.888, + "step": 848 + }, + { + "epoch": 0.06, + "learning_rate": 9.979803685800651e-06, + "loss": 0.9107, + "step": 849 + }, + { + "epoch": 0.06, + "learning_rate": 9.979704630047251e-06, + "loss": 0.7805, + "step": 850 + }, + { + "epoch": 0.06, + "learning_rate": 9.979605332465088e-06, + "loss": 0.8358, + "step": 851 + }, + { + "epoch": 0.06, + "learning_rate": 9.979505793058985e-06, + "loss": 0.7062, + "step": 852 + }, + { + "epoch": 0.06, + "learning_rate": 9.979406011833775e-06, + "loss": 0.6887, + "step": 853 + }, + { + "epoch": 0.06, + "learning_rate": 9.979305988794304e-06, + "loss": 0.7493, + "step": 854 + }, + { + "epoch": 0.06, + "learning_rate": 9.97920572394543e-06, + "loss": 0.5542, + "step": 855 + }, + { + "epoch": 0.06, + "learning_rate": 9.979105217292023e-06, + "loss": 0.8126, + "step": 856 + }, + { + "epoch": 0.06, + "learning_rate": 9.97900446883896e-06, + "loss": 0.8511, + "step": 857 + }, + { + "epoch": 0.06, + "learning_rate": 9.978903478591137e-06, + "loss": 0.8154, + "step": 858 + }, + { + "epoch": 0.06, + "learning_rate": 9.978802246553458e-06, + "loss": 0.9594, + "step": 859 + }, + { + "epoch": 0.06, + "learning_rate": 9.978700772730838e-06, + "loss": 0.7871, + "step": 860 + }, + { + "epoch": 0.06, + "learning_rate": 9.978599057128207e-06, + "loss": 0.5975, + "step": 861 + }, + { + "epoch": 0.06, + "learning_rate": 9.9784970997505e-06, + "loss": 0.6185, + "step": 862 + }, + { + "epoch": 0.06, + "learning_rate": 9.978394900602676e-06, + "loss": 0.9218, + "step": 863 + }, + { + "epoch": 0.06, + "learning_rate": 9.978292459689692e-06, + "loss": 1.1037, + "step": 864 + }, + { + "epoch": 0.06, + "learning_rate": 9.978189777016523e-06, + "loss": 0.8095, + "step": 865 + }, + { + "epoch": 0.06, + "learning_rate": 9.978086852588157e-06, + "loss": 0.6856, + "step": 866 + }, + { + "epoch": 0.06, + "learning_rate": 9.977983686409595e-06, + "loss": 0.8892, + "step": 867 + }, + { + "epoch": 0.06, + "learning_rate": 9.977880278485842e-06, + "loss": 0.9921, + "step": 868 + }, + { + "epoch": 0.06, + "learning_rate": 9.977776628821923e-06, + "loss": 1.1702, + "step": 869 + }, + { + "epoch": 0.06, + "learning_rate": 9.97767273742287e-06, + "loss": 0.8783, + "step": 870 + }, + { + "epoch": 0.06, + "learning_rate": 9.97756860429373e-06, + "loss": 1.1596, + "step": 871 + }, + { + "epoch": 0.06, + "learning_rate": 9.977464229439557e-06, + "loss": 0.8342, + "step": 872 + }, + { + "epoch": 0.06, + "learning_rate": 9.977359612865424e-06, + "loss": 1.0359, + "step": 873 + }, + { + "epoch": 0.06, + "learning_rate": 9.977254754576409e-06, + "loss": 0.9948, + "step": 874 + }, + { + "epoch": 0.06, + "learning_rate": 9.977149654577602e-06, + "loss": 0.8403, + "step": 875 + }, + { + "epoch": 0.06, + "learning_rate": 9.977044312874111e-06, + "loss": 0.8605, + "step": 876 + }, + { + "epoch": 0.06, + "learning_rate": 9.976938729471049e-06, + "loss": 0.9936, + "step": 877 + }, + { + "epoch": 0.06, + "learning_rate": 9.976832904373546e-06, + "loss": 0.9939, + "step": 878 + }, + { + "epoch": 0.06, + "learning_rate": 9.97672683758674e-06, + "loss": 0.8771, + "step": 879 + }, + { + "epoch": 0.06, + "learning_rate": 9.97662052911578e-06, + "loss": 0.7188, + "step": 880 + }, + { + "epoch": 0.06, + "learning_rate": 9.976513978965829e-06, + "loss": 0.9249, + "step": 881 + }, + { + "epoch": 0.06, + "learning_rate": 9.976407187142066e-06, + "loss": 0.7348, + "step": 882 + }, + { + "epoch": 0.06, + "learning_rate": 9.97630015364967e-06, + "loss": 0.9338, + "step": 883 + }, + { + "epoch": 0.06, + "learning_rate": 9.976192878493844e-06, + "loss": 1.0085, + "step": 884 + }, + { + "epoch": 0.06, + "learning_rate": 9.976085361679797e-06, + "loss": 1.0025, + "step": 885 + }, + { + "epoch": 0.06, + "learning_rate": 9.97597760321275e-06, + "loss": 0.639, + "step": 886 + }, + { + "epoch": 0.06, + "learning_rate": 9.975869603097934e-06, + "loss": 0.924, + "step": 887 + }, + { + "epoch": 0.06, + "learning_rate": 9.975761361340596e-06, + "loss": 0.846, + "step": 888 + }, + { + "epoch": 0.06, + "learning_rate": 9.975652877945991e-06, + "loss": 0.7529, + "step": 889 + }, + { + "epoch": 0.06, + "learning_rate": 9.97554415291939e-06, + "loss": 0.8563, + "step": 890 + }, + { + "epoch": 0.06, + "learning_rate": 9.975435186266069e-06, + "loss": 0.7845, + "step": 891 + }, + { + "epoch": 0.06, + "learning_rate": 9.975325977991323e-06, + "loss": 0.9205, + "step": 892 + }, + { + "epoch": 0.06, + "learning_rate": 9.975216528100453e-06, + "loss": 0.8585, + "step": 893 + }, + { + "epoch": 0.06, + "learning_rate": 9.975106836598777e-06, + "loss": 0.7845, + "step": 894 + }, + { + "epoch": 0.06, + "learning_rate": 9.97499690349162e-06, + "loss": 0.7377, + "step": 895 + }, + { + "epoch": 0.06, + "learning_rate": 9.97488672878432e-06, + "loss": 0.9445, + "step": 896 + }, + { + "epoch": 0.06, + "learning_rate": 9.97477631248223e-06, + "loss": 0.823, + "step": 897 + }, + { + "epoch": 0.06, + "learning_rate": 9.97466565459071e-06, + "loss": 0.8876, + "step": 898 + }, + { + "epoch": 0.06, + "learning_rate": 9.974554755115134e-06, + "loss": 0.864, + "step": 899 + }, + { + "epoch": 0.06, + "learning_rate": 9.974443614060889e-06, + "loss": 0.8641, + "step": 900 + }, + { + "epoch": 0.06, + "learning_rate": 9.974332231433372e-06, + "loss": 0.8034, + "step": 901 + }, + { + "epoch": 0.06, + "learning_rate": 9.97422060723799e-06, + "loss": 0.8655, + "step": 902 + }, + { + "epoch": 0.06, + "learning_rate": 9.974108741480167e-06, + "loss": 1.0799, + "step": 903 + }, + { + "epoch": 0.06, + "learning_rate": 9.973996634165332e-06, + "loss": 0.9288, + "step": 904 + }, + { + "epoch": 0.06, + "learning_rate": 9.973884285298932e-06, + "loss": 0.654, + "step": 905 + }, + { + "epoch": 0.06, + "learning_rate": 9.973771694886421e-06, + "loss": 0.8955, + "step": 906 + }, + { + "epoch": 0.06, + "learning_rate": 9.97365886293327e-06, + "loss": 1.0048, + "step": 907 + }, + { + "epoch": 0.06, + "learning_rate": 9.973545789444954e-06, + "loss": 0.921, + "step": 908 + }, + { + "epoch": 0.06, + "learning_rate": 9.973432474426968e-06, + "loss": 0.7134, + "step": 909 + }, + { + "epoch": 0.06, + "learning_rate": 9.973318917884811e-06, + "loss": 0.8356, + "step": 910 + }, + { + "epoch": 0.06, + "learning_rate": 9.973205119824001e-06, + "loss": 1.0431, + "step": 911 + }, + { + "epoch": 0.06, + "learning_rate": 9.973091080250063e-06, + "loss": 0.703, + "step": 912 + }, + { + "epoch": 0.06, + "learning_rate": 9.972976799168537e-06, + "loss": 0.923, + "step": 913 + }, + { + "epoch": 0.06, + "learning_rate": 9.97286227658497e-06, + "loss": 0.9369, + "step": 914 + }, + { + "epoch": 0.06, + "learning_rate": 9.972747512504925e-06, + "loss": 0.892, + "step": 915 + }, + { + "epoch": 0.06, + "learning_rate": 9.972632506933975e-06, + "loss": 0.9426, + "step": 916 + }, + { + "epoch": 0.06, + "learning_rate": 9.972517259877706e-06, + "loss": 1.0259, + "step": 917 + }, + { + "epoch": 0.06, + "learning_rate": 9.972401771341711e-06, + "loss": 0.9894, + "step": 918 + }, + { + "epoch": 0.06, + "learning_rate": 9.972286041331602e-06, + "loss": 0.9155, + "step": 919 + }, + { + "epoch": 0.06, + "learning_rate": 9.972170069853e-06, + "loss": 0.7154, + "step": 920 + }, + { + "epoch": 0.06, + "learning_rate": 9.972053856911534e-06, + "loss": 0.7764, + "step": 921 + }, + { + "epoch": 0.06, + "learning_rate": 9.97193740251285e-06, + "loss": 1.1794, + "step": 922 + }, + { + "epoch": 0.06, + "learning_rate": 9.971820706662601e-06, + "loss": 0.8321, + "step": 923 + }, + { + "epoch": 0.06, + "learning_rate": 9.971703769366456e-06, + "loss": 0.8042, + "step": 924 + }, + { + "epoch": 0.06, + "learning_rate": 9.971586590630094e-06, + "loss": 1.0626, + "step": 925 + }, + { + "epoch": 0.06, + "learning_rate": 9.971469170459202e-06, + "loss": 0.5372, + "step": 926 + }, + { + "epoch": 0.06, + "learning_rate": 9.971351508859488e-06, + "loss": 0.8777, + "step": 927 + }, + { + "epoch": 0.06, + "learning_rate": 9.97123360583666e-06, + "loss": 0.912, + "step": 928 + }, + { + "epoch": 0.06, + "learning_rate": 9.97111546139645e-06, + "loss": 0.7869, + "step": 929 + }, + { + "epoch": 0.06, + "learning_rate": 9.97099707554459e-06, + "loss": 0.6234, + "step": 930 + }, + { + "epoch": 0.06, + "learning_rate": 9.970878448286832e-06, + "loss": 0.8101, + "step": 931 + }, + { + "epoch": 0.06, + "learning_rate": 9.970759579628934e-06, + "loss": 0.7453, + "step": 932 + }, + { + "epoch": 0.06, + "learning_rate": 9.970640469576674e-06, + "loss": 0.8642, + "step": 933 + }, + { + "epoch": 0.06, + "learning_rate": 9.97052111813583e-06, + "loss": 0.5998, + "step": 934 + }, + { + "epoch": 0.06, + "learning_rate": 9.970401525312203e-06, + "loss": 0.8027, + "step": 935 + }, + { + "epoch": 0.06, + "learning_rate": 9.970281691111598e-06, + "loss": 0.9096, + "step": 936 + }, + { + "epoch": 0.06, + "learning_rate": 9.970161615539837e-06, + "loss": 0.9558, + "step": 937 + }, + { + "epoch": 0.06, + "learning_rate": 9.970041298602748e-06, + "loss": 0.9493, + "step": 938 + }, + { + "epoch": 0.06, + "learning_rate": 9.969920740306176e-06, + "loss": 1.0839, + "step": 939 + }, + { + "epoch": 0.06, + "learning_rate": 9.969799940655975e-06, + "loss": 0.9094, + "step": 940 + }, + { + "epoch": 0.06, + "learning_rate": 9.969678899658012e-06, + "loss": 0.8007, + "step": 941 + }, + { + "epoch": 0.06, + "learning_rate": 9.969557617318163e-06, + "loss": 0.6995, + "step": 942 + }, + { + "epoch": 0.06, + "learning_rate": 9.969436093642321e-06, + "loss": 0.821, + "step": 943 + }, + { + "epoch": 0.06, + "learning_rate": 9.969314328636386e-06, + "loss": 0.8389, + "step": 944 + }, + { + "epoch": 0.06, + "learning_rate": 9.969192322306271e-06, + "loss": 1.0772, + "step": 945 + }, + { + "epoch": 0.06, + "learning_rate": 9.969070074657901e-06, + "loss": 1.0473, + "step": 946 + }, + { + "epoch": 0.06, + "learning_rate": 9.968947585697214e-06, + "loss": 0.9075, + "step": 947 + }, + { + "epoch": 0.06, + "learning_rate": 9.968824855430157e-06, + "loss": 0.9522, + "step": 948 + }, + { + "epoch": 0.06, + "learning_rate": 9.96870188386269e-06, + "loss": 0.7876, + "step": 949 + }, + { + "epoch": 0.06, + "learning_rate": 9.968578671000784e-06, + "loss": 0.6698, + "step": 950 + }, + { + "epoch": 0.06, + "learning_rate": 9.968455216850426e-06, + "loss": 1.0314, + "step": 951 + }, + { + "epoch": 0.06, + "learning_rate": 9.96833152141761e-06, + "loss": 0.8518, + "step": 952 + }, + { + "epoch": 0.06, + "learning_rate": 9.96820758470834e-06, + "loss": 0.788, + "step": 953 + }, + { + "epoch": 0.06, + "learning_rate": 9.968083406728637e-06, + "loss": 0.9662, + "step": 954 + }, + { + "epoch": 0.06, + "learning_rate": 9.967958987484532e-06, + "loss": 1.0834, + "step": 955 + }, + { + "epoch": 0.07, + "learning_rate": 9.967834326982066e-06, + "loss": 0.6006, + "step": 956 + }, + { + "epoch": 0.07, + "learning_rate": 9.967709425227295e-06, + "loss": 0.9836, + "step": 957 + }, + { + "epoch": 0.07, + "learning_rate": 9.967584282226281e-06, + "loss": 0.6001, + "step": 958 + }, + { + "epoch": 0.07, + "learning_rate": 9.967458897985105e-06, + "loss": 0.9284, + "step": 959 + }, + { + "epoch": 0.07, + "learning_rate": 9.967333272509854e-06, + "loss": 0.8488, + "step": 960 + }, + { + "epoch": 0.07, + "learning_rate": 9.967207405806628e-06, + "loss": 0.7975, + "step": 961 + }, + { + "epoch": 0.07, + "learning_rate": 9.967081297881541e-06, + "loss": 0.8351, + "step": 962 + }, + { + "epoch": 0.07, + "learning_rate": 9.966954948740717e-06, + "loss": 0.7796, + "step": 963 + }, + { + "epoch": 0.07, + "learning_rate": 9.96682835839029e-06, + "loss": 0.794, + "step": 964 + }, + { + "epoch": 0.07, + "learning_rate": 9.96670152683641e-06, + "loss": 0.6236, + "step": 965 + }, + { + "epoch": 0.07, + "learning_rate": 9.966574454085236e-06, + "loss": 0.6932, + "step": 966 + }, + { + "epoch": 0.07, + "learning_rate": 9.966447140142938e-06, + "loss": 1.1135, + "step": 967 + }, + { + "epoch": 0.07, + "learning_rate": 9.9663195850157e-06, + "loss": 0.7784, + "step": 968 + }, + { + "epoch": 0.07, + "learning_rate": 9.966191788709716e-06, + "loss": 0.8298, + "step": 969 + }, + { + "epoch": 0.07, + "learning_rate": 9.96606375123119e-06, + "loss": 0.9059, + "step": 970 + }, + { + "epoch": 0.07, + "learning_rate": 9.965935472586344e-06, + "loss": 0.7616, + "step": 971 + }, + { + "epoch": 0.07, + "learning_rate": 9.965806952781402e-06, + "loss": 0.8778, + "step": 972 + }, + { + "epoch": 0.07, + "learning_rate": 9.965678191822612e-06, + "loss": 1.0371, + "step": 973 + }, + { + "epoch": 0.07, + "learning_rate": 9.96554918971622e-06, + "loss": 1.0207, + "step": 974 + }, + { + "epoch": 0.07, + "learning_rate": 9.965419946468496e-06, + "loss": 1.0085, + "step": 975 + }, + { + "epoch": 0.07, + "learning_rate": 9.965290462085714e-06, + "loss": 0.7069, + "step": 976 + }, + { + "epoch": 0.07, + "learning_rate": 9.965160736574164e-06, + "loss": 0.7451, + "step": 977 + }, + { + "epoch": 0.07, + "learning_rate": 9.965030769940144e-06, + "loss": 0.7624, + "step": 978 + }, + { + "epoch": 0.07, + "learning_rate": 9.964900562189967e-06, + "loss": 0.9137, + "step": 979 + }, + { + "epoch": 0.07, + "learning_rate": 9.964770113329953e-06, + "loss": 0.8597, + "step": 980 + }, + { + "epoch": 0.07, + "learning_rate": 9.964639423366442e-06, + "loss": 0.6523, + "step": 981 + }, + { + "epoch": 0.07, + "learning_rate": 9.964508492305777e-06, + "loss": 0.6447, + "step": 982 + }, + { + "epoch": 0.07, + "learning_rate": 9.964377320154318e-06, + "loss": 0.8247, + "step": 983 + }, + { + "epoch": 0.07, + "learning_rate": 9.964245906918434e-06, + "loss": 0.95, + "step": 984 + }, + { + "epoch": 0.07, + "learning_rate": 9.964114252604508e-06, + "loss": 0.8897, + "step": 985 + }, + { + "epoch": 0.07, + "learning_rate": 9.963982357218933e-06, + "loss": 0.8203, + "step": 986 + }, + { + "epoch": 0.07, + "learning_rate": 9.963850220768112e-06, + "loss": 0.7757, + "step": 987 + }, + { + "epoch": 0.07, + "learning_rate": 9.963717843258467e-06, + "loss": 0.7768, + "step": 988 + }, + { + "epoch": 0.07, + "learning_rate": 9.96358522469642e-06, + "loss": 0.9281, + "step": 989 + }, + { + "epoch": 0.07, + "learning_rate": 9.96345236508842e-06, + "loss": 0.9078, + "step": 990 + }, + { + "epoch": 0.07, + "learning_rate": 9.96331926444091e-06, + "loss": 0.7585, + "step": 991 + }, + { + "epoch": 0.07, + "learning_rate": 9.96318592276036e-06, + "loss": 0.9591, + "step": 992 + }, + { + "epoch": 0.07, + "learning_rate": 9.963052340053242e-06, + "loss": 0.73, + "step": 993 + }, + { + "epoch": 0.07, + "learning_rate": 9.962918516326045e-06, + "loss": 0.7862, + "step": 994 + }, + { + "epoch": 0.07, + "learning_rate": 9.962784451585267e-06, + "loss": 0.8513, + "step": 995 + }, + { + "epoch": 0.07, + "learning_rate": 9.962650145837419e-06, + "loss": 0.8993, + "step": 996 + }, + { + "epoch": 0.07, + "learning_rate": 9.962515599089022e-06, + "loss": 0.7956, + "step": 997 + }, + { + "epoch": 0.07, + "learning_rate": 9.962380811346612e-06, + "loss": 0.9562, + "step": 998 + }, + { + "epoch": 0.07, + "learning_rate": 9.962245782616734e-06, + "loss": 1.0018, + "step": 999 + }, + { + "epoch": 0.07, + "learning_rate": 9.962110512905947e-06, + "loss": 0.7094, + "step": 1000 + }, + { + "epoch": 0.07, + "learning_rate": 9.961975002220816e-06, + "loss": 0.9404, + "step": 1001 + }, + { + "epoch": 0.07, + "learning_rate": 9.961839250567925e-06, + "loss": 0.992, + "step": 1002 + }, + { + "epoch": 0.07, + "learning_rate": 9.961703257953863e-06, + "loss": 0.6723, + "step": 1003 + }, + { + "epoch": 0.07, + "learning_rate": 9.96156702438524e-06, + "loss": 0.794, + "step": 1004 + }, + { + "epoch": 0.07, + "learning_rate": 9.961430549868668e-06, + "loss": 0.635, + "step": 1005 + }, + { + "epoch": 0.07, + "learning_rate": 9.961293834410774e-06, + "loss": 0.5754, + "step": 1006 + }, + { + "epoch": 0.07, + "learning_rate": 9.961156878018199e-06, + "loss": 0.9945, + "step": 1007 + }, + { + "epoch": 0.07, + "learning_rate": 9.961019680697593e-06, + "loss": 1.0653, + "step": 1008 + }, + { + "epoch": 0.07, + "learning_rate": 9.960882242455621e-06, + "loss": 0.8014, + "step": 1009 + }, + { + "epoch": 0.07, + "learning_rate": 9.960744563298955e-06, + "loss": 0.9883, + "step": 1010 + }, + { + "epoch": 0.07, + "learning_rate": 9.960606643234278e-06, + "loss": 1.0897, + "step": 1011 + }, + { + "epoch": 0.07, + "learning_rate": 9.960468482268295e-06, + "loss": 0.6663, + "step": 1012 + }, + { + "epoch": 0.07, + "learning_rate": 9.960330080407712e-06, + "loss": 0.7559, + "step": 1013 + }, + { + "epoch": 0.07, + "learning_rate": 9.960191437659251e-06, + "loss": 0.7644, + "step": 1014 + }, + { + "epoch": 0.07, + "learning_rate": 9.960052554029643e-06, + "loss": 0.6677, + "step": 1015 + }, + { + "epoch": 0.07, + "learning_rate": 9.959913429525632e-06, + "loss": 0.7873, + "step": 1016 + }, + { + "epoch": 0.07, + "learning_rate": 9.959774064153977e-06, + "loss": 0.6822, + "step": 1017 + }, + { + "epoch": 0.07, + "learning_rate": 9.959634457921446e-06, + "loss": 0.9185, + "step": 1018 + }, + { + "epoch": 0.07, + "learning_rate": 9.959494610834817e-06, + "loss": 0.689, + "step": 1019 + }, + { + "epoch": 0.07, + "learning_rate": 9.959354522900881e-06, + "loss": 1.0119, + "step": 1020 + }, + { + "epoch": 0.07, + "learning_rate": 9.959214194126442e-06, + "loss": 1.1086, + "step": 1021 + }, + { + "epoch": 0.07, + "learning_rate": 9.959073624518316e-06, + "loss": 0.8281, + "step": 1022 + }, + { + "epoch": 0.07, + "learning_rate": 9.958932814083328e-06, + "loss": 0.8328, + "step": 1023 + }, + { + "epoch": 0.07, + "learning_rate": 9.958791762828317e-06, + "loss": 0.671, + "step": 1024 + }, + { + "epoch": 0.07, + "learning_rate": 9.958650470760131e-06, + "loss": 0.8074, + "step": 1025 + }, + { + "epoch": 0.07, + "learning_rate": 9.958508937885633e-06, + "loss": 0.9857, + "step": 1026 + }, + { + "epoch": 0.07, + "learning_rate": 9.958367164211698e-06, + "loss": 0.8624, + "step": 1027 + }, + { + "epoch": 0.07, + "learning_rate": 9.958225149745207e-06, + "loss": 0.8205, + "step": 1028 + }, + { + "epoch": 0.07, + "learning_rate": 9.95808289449306e-06, + "loss": 0.7773, + "step": 1029 + }, + { + "epoch": 0.07, + "learning_rate": 9.957940398462162e-06, + "loss": 0.8059, + "step": 1030 + }, + { + "epoch": 0.07, + "learning_rate": 9.957797661659436e-06, + "loss": 1.0314, + "step": 1031 + }, + { + "epoch": 0.07, + "learning_rate": 9.957654684091813e-06, + "loss": 0.7638, + "step": 1032 + }, + { + "epoch": 0.07, + "learning_rate": 9.957511465766236e-06, + "loss": 1.0358, + "step": 1033 + }, + { + "epoch": 0.07, + "learning_rate": 9.957368006689661e-06, + "loss": 0.8404, + "step": 1034 + }, + { + "epoch": 0.07, + "learning_rate": 9.957224306869053e-06, + "loss": 0.7965, + "step": 1035 + }, + { + "epoch": 0.07, + "learning_rate": 9.95708036631139e-06, + "loss": 0.8219, + "step": 1036 + }, + { + "epoch": 0.07, + "learning_rate": 9.956936185023668e-06, + "loss": 0.9272, + "step": 1037 + }, + { + "epoch": 0.07, + "learning_rate": 9.95679176301288e-06, + "loss": 1.0783, + "step": 1038 + }, + { + "epoch": 0.07, + "learning_rate": 9.956647100286045e-06, + "loss": 0.7829, + "step": 1039 + }, + { + "epoch": 0.07, + "learning_rate": 9.956502196850188e-06, + "loss": 1.0005, + "step": 1040 + }, + { + "epoch": 0.07, + "learning_rate": 9.956357052712347e-06, + "loss": 0.7066, + "step": 1041 + }, + { + "epoch": 0.07, + "learning_rate": 9.956211667879566e-06, + "loss": 0.8861, + "step": 1042 + }, + { + "epoch": 0.07, + "learning_rate": 9.95606604235891e-06, + "loss": 1.0976, + "step": 1043 + }, + { + "epoch": 0.07, + "learning_rate": 9.955920176157448e-06, + "loss": 0.9447, + "step": 1044 + }, + { + "epoch": 0.07, + "learning_rate": 9.955774069282265e-06, + "loss": 0.7886, + "step": 1045 + }, + { + "epoch": 0.07, + "learning_rate": 9.955627721740454e-06, + "loss": 1.0236, + "step": 1046 + }, + { + "epoch": 0.07, + "learning_rate": 9.95548113353913e-06, + "loss": 0.7422, + "step": 1047 + }, + { + "epoch": 0.07, + "learning_rate": 9.9553343046854e-06, + "loss": 0.8181, + "step": 1048 + }, + { + "epoch": 0.07, + "learning_rate": 9.955187235186403e-06, + "loss": 0.6173, + "step": 1049 + }, + { + "epoch": 0.07, + "learning_rate": 9.95503992504928e-06, + "loss": 0.8782, + "step": 1050 + }, + { + "epoch": 0.07, + "learning_rate": 9.95489237428118e-06, + "loss": 0.9491, + "step": 1051 + }, + { + "epoch": 0.07, + "learning_rate": 9.954744582889274e-06, + "loss": 0.8633, + "step": 1052 + }, + { + "epoch": 0.07, + "learning_rate": 9.954596550880735e-06, + "loss": 0.8697, + "step": 1053 + }, + { + "epoch": 0.07, + "learning_rate": 9.954448278262756e-06, + "loss": 0.6922, + "step": 1054 + }, + { + "epoch": 0.07, + "learning_rate": 9.954299765042534e-06, + "loss": 0.8053, + "step": 1055 + }, + { + "epoch": 0.07, + "learning_rate": 9.954151011227284e-06, + "loss": 0.9417, + "step": 1056 + }, + { + "epoch": 0.07, + "learning_rate": 9.954002016824226e-06, + "loss": 0.9301, + "step": 1057 + }, + { + "epoch": 0.07, + "learning_rate": 9.9538527818406e-06, + "loss": 0.8463, + "step": 1058 + }, + { + "epoch": 0.07, + "learning_rate": 9.953703306283654e-06, + "loss": 0.9243, + "step": 1059 + }, + { + "epoch": 0.07, + "learning_rate": 9.95355359016064e-06, + "loss": 0.5158, + "step": 1060 + }, + { + "epoch": 0.07, + "learning_rate": 9.953403633478835e-06, + "loss": 1.1643, + "step": 1061 + }, + { + "epoch": 0.07, + "learning_rate": 9.953253436245519e-06, + "loss": 0.7633, + "step": 1062 + }, + { + "epoch": 0.07, + "learning_rate": 9.953102998467985e-06, + "loss": 0.8574, + "step": 1063 + }, + { + "epoch": 0.07, + "learning_rate": 9.952952320153541e-06, + "loss": 0.8423, + "step": 1064 + }, + { + "epoch": 0.07, + "learning_rate": 9.952801401309504e-06, + "loss": 0.7767, + "step": 1065 + }, + { + "epoch": 0.07, + "learning_rate": 9.952650241943203e-06, + "loss": 0.744, + "step": 1066 + }, + { + "epoch": 0.07, + "learning_rate": 9.952498842061978e-06, + "loss": 0.7337, + "step": 1067 + }, + { + "epoch": 0.07, + "learning_rate": 9.952347201673181e-06, + "loss": 0.7559, + "step": 1068 + }, + { + "epoch": 0.07, + "learning_rate": 9.952195320784175e-06, + "loss": 0.8845, + "step": 1069 + }, + { + "epoch": 0.07, + "learning_rate": 9.952043199402338e-06, + "loss": 0.8228, + "step": 1070 + }, + { + "epoch": 0.07, + "learning_rate": 9.951890837535058e-06, + "loss": 0.724, + "step": 1071 + }, + { + "epoch": 0.07, + "learning_rate": 9.951738235189734e-06, + "loss": 1.0015, + "step": 1072 + }, + { + "epoch": 0.07, + "learning_rate": 9.951585392373775e-06, + "loss": 0.6596, + "step": 1073 + }, + { + "epoch": 0.07, + "learning_rate": 9.951432309094605e-06, + "loss": 1.0465, + "step": 1074 + }, + { + "epoch": 0.07, + "learning_rate": 9.951278985359656e-06, + "loss": 0.9023, + "step": 1075 + }, + { + "epoch": 0.07, + "learning_rate": 9.951125421176376e-06, + "loss": 0.7877, + "step": 1076 + }, + { + "epoch": 0.07, + "learning_rate": 9.950971616552222e-06, + "loss": 0.7498, + "step": 1077 + }, + { + "epoch": 0.07, + "learning_rate": 9.950817571494664e-06, + "loss": 0.7632, + "step": 1078 + }, + { + "epoch": 0.07, + "learning_rate": 9.95066328601118e-06, + "loss": 0.9069, + "step": 1079 + }, + { + "epoch": 0.07, + "learning_rate": 9.950508760109265e-06, + "loss": 0.5187, + "step": 1080 + }, + { + "epoch": 0.07, + "learning_rate": 9.950353993796424e-06, + "loss": 0.6443, + "step": 1081 + }, + { + "epoch": 0.07, + "learning_rate": 9.950198987080172e-06, + "loss": 0.8618, + "step": 1082 + }, + { + "epoch": 0.07, + "learning_rate": 9.950043739968032e-06, + "loss": 0.6364, + "step": 1083 + }, + { + "epoch": 0.07, + "learning_rate": 9.949888252467552e-06, + "loss": 0.7836, + "step": 1084 + }, + { + "epoch": 0.07, + "learning_rate": 9.949732524586276e-06, + "loss": 0.723, + "step": 1085 + }, + { + "epoch": 0.07, + "learning_rate": 9.94957655633177e-06, + "loss": 0.7709, + "step": 1086 + }, + { + "epoch": 0.07, + "learning_rate": 9.949420347711605e-06, + "loss": 0.8074, + "step": 1087 + }, + { + "epoch": 0.07, + "learning_rate": 9.949263898733372e-06, + "loss": 0.9737, + "step": 1088 + }, + { + "epoch": 0.07, + "learning_rate": 9.949107209404664e-06, + "loss": 0.9392, + "step": 1089 + }, + { + "epoch": 0.07, + "learning_rate": 9.948950279733094e-06, + "loss": 0.8589, + "step": 1090 + }, + { + "epoch": 0.07, + "learning_rate": 9.948793109726277e-06, + "loss": 0.8206, + "step": 1091 + }, + { + "epoch": 0.07, + "learning_rate": 9.948635699391853e-06, + "loss": 0.9632, + "step": 1092 + }, + { + "epoch": 0.07, + "learning_rate": 9.948478048737464e-06, + "loss": 0.734, + "step": 1093 + }, + { + "epoch": 0.07, + "learning_rate": 9.948320157770763e-06, + "loss": 1.1518, + "step": 1094 + }, + { + "epoch": 0.07, + "learning_rate": 9.948162026499419e-06, + "loss": 0.9827, + "step": 1095 + }, + { + "epoch": 0.07, + "learning_rate": 9.948003654931111e-06, + "loss": 0.6939, + "step": 1096 + }, + { + "epoch": 0.07, + "learning_rate": 9.947845043073533e-06, + "loss": 1.0374, + "step": 1097 + }, + { + "epoch": 0.07, + "learning_rate": 9.947686190934385e-06, + "loss": 1.1073, + "step": 1098 + }, + { + "epoch": 0.07, + "learning_rate": 9.947527098521382e-06, + "loss": 0.6708, + "step": 1099 + }, + { + "epoch": 0.07, + "learning_rate": 9.947367765842248e-06, + "loss": 0.8562, + "step": 1100 + }, + { + "epoch": 0.07, + "learning_rate": 9.947208192904722e-06, + "loss": 0.766, + "step": 1101 + }, + { + "epoch": 0.07, + "learning_rate": 9.947048379716557e-06, + "loss": 0.7519, + "step": 1102 + }, + { + "epoch": 0.08, + "learning_rate": 9.94688832628551e-06, + "loss": 1.144, + "step": 1103 + }, + { + "epoch": 0.08, + "learning_rate": 9.946728032619351e-06, + "loss": 0.7051, + "step": 1104 + }, + { + "epoch": 0.08, + "learning_rate": 9.946567498725871e-06, + "loss": 0.8475, + "step": 1105 + }, + { + "epoch": 0.08, + "learning_rate": 9.946406724612861e-06, + "loss": 0.9129, + "step": 1106 + }, + { + "epoch": 0.08, + "learning_rate": 9.946245710288132e-06, + "loss": 0.6664, + "step": 1107 + }, + { + "epoch": 0.08, + "learning_rate": 9.9460844557595e-06, + "loss": 0.6729, + "step": 1108 + }, + { + "epoch": 0.08, + "learning_rate": 9.9459229610348e-06, + "loss": 0.9135, + "step": 1109 + }, + { + "epoch": 0.08, + "learning_rate": 9.945761226121868e-06, + "loss": 0.7301, + "step": 1110 + }, + { + "epoch": 0.08, + "learning_rate": 9.945599251028565e-06, + "loss": 0.6459, + "step": 1111 + }, + { + "epoch": 0.08, + "learning_rate": 9.945437035762755e-06, + "loss": 0.8683, + "step": 1112 + }, + { + "epoch": 0.08, + "learning_rate": 9.945274580332316e-06, + "loss": 0.7698, + "step": 1113 + }, + { + "epoch": 0.08, + "learning_rate": 9.945111884745135e-06, + "loss": 0.7874, + "step": 1114 + }, + { + "epoch": 0.08, + "learning_rate": 9.944948949009114e-06, + "loss": 0.7209, + "step": 1115 + }, + { + "epoch": 0.08, + "learning_rate": 9.944785773132168e-06, + "loss": 0.7286, + "step": 1116 + }, + { + "epoch": 0.08, + "learning_rate": 9.944622357122218e-06, + "loss": 0.7983, + "step": 1117 + }, + { + "epoch": 0.08, + "learning_rate": 9.944458700987202e-06, + "loss": 0.8733, + "step": 1118 + }, + { + "epoch": 0.08, + "learning_rate": 9.944294804735067e-06, + "loss": 0.7891, + "step": 1119 + }, + { + "epoch": 0.08, + "learning_rate": 9.94413066837377e-06, + "loss": 0.7978, + "step": 1120 + }, + { + "epoch": 0.08, + "learning_rate": 9.943966291911286e-06, + "loss": 0.9014, + "step": 1121 + }, + { + "epoch": 0.08, + "learning_rate": 9.943801675355597e-06, + "loss": 0.9267, + "step": 1122 + }, + { + "epoch": 0.08, + "learning_rate": 9.943636818714695e-06, + "loss": 0.6922, + "step": 1123 + }, + { + "epoch": 0.08, + "learning_rate": 9.943471721996588e-06, + "loss": 0.7722, + "step": 1124 + }, + { + "epoch": 0.08, + "learning_rate": 9.94330638520929e-06, + "loss": 0.8368, + "step": 1125 + }, + { + "epoch": 0.08, + "learning_rate": 9.943140808360834e-06, + "loss": 0.7319, + "step": 1126 + }, + { + "epoch": 0.08, + "learning_rate": 9.94297499145926e-06, + "loss": 0.7688, + "step": 1127 + }, + { + "epoch": 0.08, + "learning_rate": 9.942808934512617e-06, + "loss": 0.5421, + "step": 1128 + }, + { + "epoch": 0.08, + "learning_rate": 9.942642637528977e-06, + "loss": 0.4896, + "step": 1129 + }, + { + "epoch": 0.08, + "learning_rate": 9.942476100516408e-06, + "loss": 1.0237, + "step": 1130 + }, + { + "epoch": 0.08, + "learning_rate": 9.942309323483003e-06, + "loss": 0.7317, + "step": 1131 + }, + { + "epoch": 0.08, + "learning_rate": 9.942142306436856e-06, + "loss": 0.7485, + "step": 1132 + }, + { + "epoch": 0.08, + "learning_rate": 9.941975049386084e-06, + "loss": 0.9418, + "step": 1133 + }, + { + "epoch": 0.08, + "learning_rate": 9.941807552338805e-06, + "loss": 0.794, + "step": 1134 + }, + { + "epoch": 0.08, + "learning_rate": 9.941639815303154e-06, + "loss": 0.8286, + "step": 1135 + }, + { + "epoch": 0.08, + "learning_rate": 9.941471838287276e-06, + "loss": 0.8997, + "step": 1136 + }, + { + "epoch": 0.08, + "learning_rate": 9.941303621299332e-06, + "loss": 0.6749, + "step": 1137 + }, + { + "epoch": 0.08, + "learning_rate": 9.941135164347486e-06, + "loss": 1.0116, + "step": 1138 + }, + { + "epoch": 0.08, + "learning_rate": 9.940966467439923e-06, + "loss": 1.0687, + "step": 1139 + }, + { + "epoch": 0.08, + "learning_rate": 9.940797530584835e-06, + "loss": 0.794, + "step": 1140 + }, + { + "epoch": 0.08, + "learning_rate": 9.940628353790423e-06, + "loss": 0.9918, + "step": 1141 + }, + { + "epoch": 0.08, + "learning_rate": 9.940458937064905e-06, + "loss": 1.0887, + "step": 1142 + }, + { + "epoch": 0.08, + "learning_rate": 9.940289280416509e-06, + "loss": 1.1518, + "step": 1143 + }, + { + "epoch": 0.08, + "learning_rate": 9.940119383853473e-06, + "loss": 0.9407, + "step": 1144 + }, + { + "epoch": 0.08, + "learning_rate": 9.939949247384046e-06, + "loss": 1.0415, + "step": 1145 + }, + { + "epoch": 0.08, + "learning_rate": 9.939778871016493e-06, + "loss": 0.6786, + "step": 1146 + }, + { + "epoch": 0.08, + "learning_rate": 9.939608254759085e-06, + "loss": 1.0658, + "step": 1147 + }, + { + "epoch": 0.08, + "learning_rate": 9.939437398620113e-06, + "loss": 0.7134, + "step": 1148 + }, + { + "epoch": 0.08, + "learning_rate": 9.939266302607869e-06, + "loss": 1.0137, + "step": 1149 + }, + { + "epoch": 0.08, + "learning_rate": 9.939094966730664e-06, + "loss": 1.056, + "step": 1150 + }, + { + "epoch": 0.08, + "learning_rate": 9.938923390996817e-06, + "loss": 0.9235, + "step": 1151 + }, + { + "epoch": 0.08, + "learning_rate": 9.938751575414663e-06, + "loss": 0.8259, + "step": 1152 + }, + { + "epoch": 0.08, + "learning_rate": 9.938579519992545e-06, + "loss": 0.8496, + "step": 1153 + }, + { + "epoch": 0.08, + "learning_rate": 9.938407224738816e-06, + "loss": 0.6761, + "step": 1154 + }, + { + "epoch": 0.08, + "learning_rate": 9.938234689661846e-06, + "loss": 0.9534, + "step": 1155 + }, + { + "epoch": 0.08, + "learning_rate": 9.938061914770013e-06, + "loss": 0.9373, + "step": 1156 + }, + { + "epoch": 0.08, + "learning_rate": 9.937888900071707e-06, + "loss": 0.7732, + "step": 1157 + }, + { + "epoch": 0.08, + "learning_rate": 9.93771564557533e-06, + "loss": 0.7213, + "step": 1158 + }, + { + "epoch": 0.08, + "learning_rate": 9.937542151289296e-06, + "loss": 0.7919, + "step": 1159 + }, + { + "epoch": 0.08, + "learning_rate": 9.937368417222033e-06, + "loss": 0.951, + "step": 1160 + }, + { + "epoch": 0.08, + "learning_rate": 9.937194443381972e-06, + "loss": 0.6158, + "step": 1161 + }, + { + "epoch": 0.08, + "learning_rate": 9.937020229777568e-06, + "loss": 0.6294, + "step": 1162 + }, + { + "epoch": 0.08, + "learning_rate": 9.936845776417277e-06, + "loss": 0.7708, + "step": 1163 + }, + { + "epoch": 0.08, + "learning_rate": 9.936671083309573e-06, + "loss": 0.6076, + "step": 1164 + }, + { + "epoch": 0.08, + "learning_rate": 9.936496150462938e-06, + "loss": 0.9868, + "step": 1165 + }, + { + "epoch": 0.08, + "learning_rate": 9.936320977885868e-06, + "loss": 0.9148, + "step": 1166 + }, + { + "epoch": 0.08, + "learning_rate": 9.936145565586871e-06, + "loss": 0.8865, + "step": 1167 + }, + { + "epoch": 0.08, + "learning_rate": 9.935969913574464e-06, + "loss": 1.1216, + "step": 1168 + }, + { + "epoch": 0.08, + "learning_rate": 9.93579402185718e-06, + "loss": 1.2224, + "step": 1169 + }, + { + "epoch": 0.08, + "learning_rate": 9.935617890443557e-06, + "loss": 0.9285, + "step": 1170 + }, + { + "epoch": 0.08, + "learning_rate": 9.93544151934215e-06, + "loss": 0.9465, + "step": 1171 + }, + { + "epoch": 0.08, + "learning_rate": 9.935264908561523e-06, + "loss": 0.8467, + "step": 1172 + }, + { + "epoch": 0.08, + "learning_rate": 9.935088058110256e-06, + "loss": 0.8267, + "step": 1173 + }, + { + "epoch": 0.08, + "learning_rate": 9.934910967996936e-06, + "loss": 0.5918, + "step": 1174 + }, + { + "epoch": 0.08, + "learning_rate": 9.934733638230161e-06, + "loss": 0.6267, + "step": 1175 + }, + { + "epoch": 0.08, + "learning_rate": 9.934556068818543e-06, + "loss": 0.5588, + "step": 1176 + }, + { + "epoch": 0.08, + "learning_rate": 9.934378259770708e-06, + "loss": 1.0092, + "step": 1177 + }, + { + "epoch": 0.08, + "learning_rate": 9.934200211095288e-06, + "loss": 0.8186, + "step": 1178 + }, + { + "epoch": 0.08, + "learning_rate": 9.934021922800931e-06, + "loss": 0.8727, + "step": 1179 + }, + { + "epoch": 0.08, + "learning_rate": 9.933843394896295e-06, + "loss": 1.0618, + "step": 1180 + }, + { + "epoch": 0.08, + "learning_rate": 9.93366462739005e-06, + "loss": 0.7807, + "step": 1181 + }, + { + "epoch": 0.08, + "learning_rate": 9.933485620290875e-06, + "loss": 0.7461, + "step": 1182 + }, + { + "epoch": 0.08, + "learning_rate": 9.933306373607468e-06, + "loss": 0.7335, + "step": 1183 + }, + { + "epoch": 0.08, + "learning_rate": 9.93312688734853e-06, + "loss": 0.6926, + "step": 1184 + }, + { + "epoch": 0.08, + "learning_rate": 9.932947161522779e-06, + "loss": 0.7632, + "step": 1185 + }, + { + "epoch": 0.08, + "learning_rate": 9.932767196138941e-06, + "loss": 0.6778, + "step": 1186 + }, + { + "epoch": 0.08, + "learning_rate": 9.932586991205758e-06, + "loss": 0.7215, + "step": 1187 + }, + { + "epoch": 0.08, + "learning_rate": 9.932406546731981e-06, + "loss": 0.8416, + "step": 1188 + }, + { + "epoch": 0.08, + "learning_rate": 9.93222586272637e-06, + "loss": 1.2677, + "step": 1189 + }, + { + "epoch": 0.08, + "learning_rate": 9.932044939197702e-06, + "loss": 0.8013, + "step": 1190 + }, + { + "epoch": 0.08, + "learning_rate": 9.931863776154766e-06, + "loss": 0.9362, + "step": 1191 + }, + { + "epoch": 0.08, + "learning_rate": 9.931682373606354e-06, + "loss": 0.79, + "step": 1192 + }, + { + "epoch": 0.08, + "learning_rate": 9.931500731561279e-06, + "loss": 0.8983, + "step": 1193 + }, + { + "epoch": 0.08, + "learning_rate": 9.93131885002836e-06, + "loss": 0.8119, + "step": 1194 + }, + { + "epoch": 0.08, + "learning_rate": 9.931136729016432e-06, + "loss": 0.845, + "step": 1195 + }, + { + "epoch": 0.08, + "learning_rate": 9.930954368534338e-06, + "loss": 0.7024, + "step": 1196 + }, + { + "epoch": 0.08, + "learning_rate": 9.930771768590934e-06, + "loss": 0.8395, + "step": 1197 + }, + { + "epoch": 0.08, + "learning_rate": 9.930588929195087e-06, + "loss": 0.7988, + "step": 1198 + }, + { + "epoch": 0.08, + "learning_rate": 9.930405850355677e-06, + "loss": 0.9255, + "step": 1199 + }, + { + "epoch": 0.08, + "learning_rate": 9.930222532081597e-06, + "loss": 0.7134, + "step": 1200 + }, + { + "epoch": 0.08, + "learning_rate": 9.930038974381744e-06, + "loss": 0.8739, + "step": 1201 + }, + { + "epoch": 0.08, + "learning_rate": 9.929855177265037e-06, + "loss": 1.0463, + "step": 1202 + }, + { + "epoch": 0.08, + "learning_rate": 9.9296711407404e-06, + "loss": 0.8927, + "step": 1203 + }, + { + "epoch": 0.08, + "learning_rate": 9.92948686481677e-06, + "loss": 1.0424, + "step": 1204 + }, + { + "epoch": 0.08, + "learning_rate": 9.929302349503098e-06, + "loss": 0.6025, + "step": 1205 + }, + { + "epoch": 0.08, + "learning_rate": 9.929117594808341e-06, + "loss": 0.8313, + "step": 1206 + }, + { + "epoch": 0.08, + "learning_rate": 9.928932600741474e-06, + "loss": 0.8489, + "step": 1207 + }, + { + "epoch": 0.08, + "learning_rate": 9.92874736731148e-06, + "loss": 0.5644, + "step": 1208 + }, + { + "epoch": 0.08, + "learning_rate": 9.928561894527354e-06, + "loss": 0.7937, + "step": 1209 + }, + { + "epoch": 0.08, + "learning_rate": 9.928376182398104e-06, + "loss": 0.878, + "step": 1210 + }, + { + "epoch": 0.08, + "learning_rate": 9.928190230932745e-06, + "loss": 0.9616, + "step": 1211 + }, + { + "epoch": 0.08, + "learning_rate": 9.928004040140315e-06, + "loss": 0.6883, + "step": 1212 + }, + { + "epoch": 0.08, + "learning_rate": 9.92781761002985e-06, + "loss": 0.8137, + "step": 1213 + }, + { + "epoch": 0.08, + "learning_rate": 9.927630940610405e-06, + "loss": 0.6985, + "step": 1214 + }, + { + "epoch": 0.08, + "learning_rate": 9.927444031891044e-06, + "loss": 1.0319, + "step": 1215 + }, + { + "epoch": 0.08, + "learning_rate": 9.927256883880848e-06, + "loss": 0.9193, + "step": 1216 + }, + { + "epoch": 0.08, + "learning_rate": 9.927069496588902e-06, + "loss": 0.6618, + "step": 1217 + }, + { + "epoch": 0.08, + "learning_rate": 9.926881870024306e-06, + "loss": 1.0353, + "step": 1218 + }, + { + "epoch": 0.08, + "learning_rate": 9.926694004196172e-06, + "loss": 0.9377, + "step": 1219 + }, + { + "epoch": 0.08, + "learning_rate": 9.926505899113623e-06, + "loss": 0.599, + "step": 1220 + }, + { + "epoch": 0.08, + "learning_rate": 9.926317554785796e-06, + "loss": 0.8359, + "step": 1221 + }, + { + "epoch": 0.08, + "learning_rate": 9.926128971221836e-06, + "loss": 0.8736, + "step": 1222 + }, + { + "epoch": 0.08, + "learning_rate": 9.9259401484309e-06, + "loss": 0.6876, + "step": 1223 + }, + { + "epoch": 0.08, + "learning_rate": 9.92575108642216e-06, + "loss": 0.8773, + "step": 1224 + }, + { + "epoch": 0.08, + "learning_rate": 9.925561785204797e-06, + "loss": 0.8233, + "step": 1225 + }, + { + "epoch": 0.08, + "learning_rate": 9.925372244788004e-06, + "loss": 0.9906, + "step": 1226 + }, + { + "epoch": 0.08, + "learning_rate": 9.925182465180983e-06, + "loss": 0.6834, + "step": 1227 + }, + { + "epoch": 0.08, + "learning_rate": 9.924992446392954e-06, + "loss": 0.6929, + "step": 1228 + }, + { + "epoch": 0.08, + "learning_rate": 9.92480218843314e-06, + "loss": 0.7417, + "step": 1229 + }, + { + "epoch": 0.08, + "learning_rate": 9.924611691310788e-06, + "loss": 0.8692, + "step": 1230 + }, + { + "epoch": 0.08, + "learning_rate": 9.924420955035143e-06, + "loss": 1.0428, + "step": 1231 + }, + { + "epoch": 0.08, + "learning_rate": 9.924229979615469e-06, + "loss": 0.941, + "step": 1232 + }, + { + "epoch": 0.08, + "learning_rate": 9.924038765061042e-06, + "loss": 0.8537, + "step": 1233 + }, + { + "epoch": 0.08, + "learning_rate": 9.923847311381144e-06, + "loss": 1.026, + "step": 1234 + }, + { + "epoch": 0.08, + "learning_rate": 9.923655618585078e-06, + "loss": 1.0497, + "step": 1235 + }, + { + "epoch": 0.08, + "learning_rate": 9.92346368668215e-06, + "loss": 0.861, + "step": 1236 + }, + { + "epoch": 0.08, + "learning_rate": 9.92327151568168e-06, + "loss": 0.8958, + "step": 1237 + }, + { + "epoch": 0.08, + "learning_rate": 9.923079105593003e-06, + "loss": 0.5782, + "step": 1238 + }, + { + "epoch": 0.08, + "learning_rate": 9.92288645642546e-06, + "loss": 0.9092, + "step": 1239 + }, + { + "epoch": 0.08, + "learning_rate": 9.922693568188408e-06, + "loss": 0.9412, + "step": 1240 + }, + { + "epoch": 0.08, + "learning_rate": 9.922500440891217e-06, + "loss": 0.7434, + "step": 1241 + }, + { + "epoch": 0.08, + "learning_rate": 9.92230707454326e-06, + "loss": 0.854, + "step": 1242 + }, + { + "epoch": 0.08, + "learning_rate": 9.922113469153933e-06, + "loss": 0.9188, + "step": 1243 + }, + { + "epoch": 0.08, + "learning_rate": 9.921919624732634e-06, + "loss": 0.737, + "step": 1244 + }, + { + "epoch": 0.08, + "learning_rate": 9.921725541288779e-06, + "loss": 0.8823, + "step": 1245 + }, + { + "epoch": 0.08, + "learning_rate": 9.921531218831793e-06, + "loss": 1.0138, + "step": 1246 + }, + { + "epoch": 0.08, + "learning_rate": 9.92133665737111e-06, + "loss": 0.663, + "step": 1247 + }, + { + "epoch": 0.08, + "learning_rate": 9.921141856916183e-06, + "loss": 0.6462, + "step": 1248 + }, + { + "epoch": 0.08, + "learning_rate": 9.920946817476469e-06, + "loss": 0.847, + "step": 1249 + }, + { + "epoch": 0.09, + "learning_rate": 9.92075153906144e-06, + "loss": 0.7486, + "step": 1250 + }, + { + "epoch": 0.09, + "learning_rate": 9.92055602168058e-06, + "loss": 0.9885, + "step": 1251 + }, + { + "epoch": 0.09, + "learning_rate": 9.920360265343386e-06, + "loss": 0.9004, + "step": 1252 + }, + { + "epoch": 0.09, + "learning_rate": 9.92016427005936e-06, + "loss": 0.9709, + "step": 1253 + }, + { + "epoch": 0.09, + "learning_rate": 9.919968035838024e-06, + "loss": 0.8071, + "step": 1254 + }, + { + "epoch": 0.09, + "learning_rate": 9.919771562688905e-06, + "loss": 1.0899, + "step": 1255 + }, + { + "epoch": 0.09, + "learning_rate": 9.919574850621544e-06, + "loss": 0.8821, + "step": 1256 + }, + { + "epoch": 0.09, + "learning_rate": 9.919377899645497e-06, + "loss": 0.929, + "step": 1257 + }, + { + "epoch": 0.09, + "learning_rate": 9.919180709770327e-06, + "loss": 0.9237, + "step": 1258 + }, + { + "epoch": 0.09, + "learning_rate": 9.918983281005607e-06, + "loss": 0.6323, + "step": 1259 + }, + { + "epoch": 0.09, + "learning_rate": 9.918785613360931e-06, + "loss": 0.655, + "step": 1260 + }, + { + "epoch": 0.09, + "learning_rate": 9.918587706845892e-06, + "loss": 0.8533, + "step": 1261 + }, + { + "epoch": 0.09, + "learning_rate": 9.918389561470105e-06, + "loss": 0.9484, + "step": 1262 + }, + { + "epoch": 0.09, + "learning_rate": 9.918191177243192e-06, + "loss": 0.7075, + "step": 1263 + }, + { + "epoch": 0.09, + "learning_rate": 9.917992554174786e-06, + "loss": 0.5748, + "step": 1264 + }, + { + "epoch": 0.09, + "learning_rate": 9.917793692274533e-06, + "loss": 0.8031, + "step": 1265 + }, + { + "epoch": 0.09, + "learning_rate": 9.91759459155209e-06, + "loss": 1.1287, + "step": 1266 + }, + { + "epoch": 0.09, + "learning_rate": 9.917395252017126e-06, + "loss": 0.8946, + "step": 1267 + }, + { + "epoch": 0.09, + "learning_rate": 9.917195673679323e-06, + "loss": 0.8173, + "step": 1268 + }, + { + "epoch": 0.09, + "learning_rate": 9.916995856548371e-06, + "loss": 1.0591, + "step": 1269 + }, + { + "epoch": 0.09, + "learning_rate": 9.916795800633974e-06, + "loss": 0.9199, + "step": 1270 + }, + { + "epoch": 0.09, + "learning_rate": 9.916595505945848e-06, + "loss": 0.536, + "step": 1271 + }, + { + "epoch": 0.09, + "learning_rate": 9.916394972493722e-06, + "loss": 0.6357, + "step": 1272 + }, + { + "epoch": 0.09, + "learning_rate": 9.916194200287329e-06, + "loss": 0.6588, + "step": 1273 + }, + { + "epoch": 0.09, + "learning_rate": 9.915993189336423e-06, + "loss": 0.7631, + "step": 1274 + }, + { + "epoch": 0.09, + "learning_rate": 9.915791939650767e-06, + "loss": 0.8786, + "step": 1275 + }, + { + "epoch": 0.09, + "learning_rate": 9.915590451240131e-06, + "loss": 0.8977, + "step": 1276 + }, + { + "epoch": 0.09, + "learning_rate": 9.915388724114301e-06, + "loss": 0.6734, + "step": 1277 + }, + { + "epoch": 0.09, + "learning_rate": 9.915186758283072e-06, + "loss": 0.546, + "step": 1278 + }, + { + "epoch": 0.09, + "learning_rate": 9.914984553756257e-06, + "loss": 0.7614, + "step": 1279 + }, + { + "epoch": 0.09, + "learning_rate": 9.91478211054367e-06, + "loss": 0.6044, + "step": 1280 + }, + { + "epoch": 0.09, + "learning_rate": 9.914579428655144e-06, + "loss": 0.9366, + "step": 1281 + }, + { + "epoch": 0.09, + "learning_rate": 9.914376508100524e-06, + "loss": 0.734, + "step": 1282 + }, + { + "epoch": 0.09, + "learning_rate": 9.914173348889663e-06, + "loss": 1.0406, + "step": 1283 + }, + { + "epoch": 0.09, + "learning_rate": 9.913969951032426e-06, + "loss": 0.5803, + "step": 1284 + }, + { + "epoch": 0.09, + "learning_rate": 9.913766314538689e-06, + "loss": 0.7999, + "step": 1285 + }, + { + "epoch": 0.09, + "learning_rate": 9.913562439418345e-06, + "loss": 0.8616, + "step": 1286 + }, + { + "epoch": 0.09, + "learning_rate": 9.913358325681292e-06, + "loss": 0.8566, + "step": 1287 + }, + { + "epoch": 0.09, + "learning_rate": 9.913153973337445e-06, + "loss": 0.7733, + "step": 1288 + }, + { + "epoch": 0.09, + "learning_rate": 9.912949382396728e-06, + "loss": 1.0935, + "step": 1289 + }, + { + "epoch": 0.09, + "learning_rate": 9.912744552869072e-06, + "loss": 1.0416, + "step": 1290 + }, + { + "epoch": 0.09, + "learning_rate": 9.912539484764429e-06, + "loss": 0.9843, + "step": 1291 + }, + { + "epoch": 0.09, + "learning_rate": 9.912334178092754e-06, + "loss": 0.7878, + "step": 1292 + }, + { + "epoch": 0.09, + "learning_rate": 9.91212863286402e-06, + "loss": 1.1566, + "step": 1293 + }, + { + "epoch": 0.09, + "learning_rate": 9.91192284908821e-06, + "loss": 0.9487, + "step": 1294 + }, + { + "epoch": 0.09, + "learning_rate": 9.911716826775313e-06, + "loss": 0.7518, + "step": 1295 + }, + { + "epoch": 0.09, + "learning_rate": 9.911510565935335e-06, + "loss": 0.8058, + "step": 1296 + }, + { + "epoch": 0.09, + "learning_rate": 9.911304066578298e-06, + "loss": 0.7855, + "step": 1297 + }, + { + "epoch": 0.09, + "learning_rate": 9.911097328714223e-06, + "loss": 0.9528, + "step": 1298 + }, + { + "epoch": 0.09, + "learning_rate": 9.910890352353154e-06, + "loss": 1.1755, + "step": 1299 + }, + { + "epoch": 0.09, + "learning_rate": 9.910683137505142e-06, + "loss": 1.044, + "step": 1300 + }, + { + "epoch": 0.09, + "learning_rate": 9.91047568418025e-06, + "loss": 0.7008, + "step": 1301 + }, + { + "epoch": 0.09, + "learning_rate": 9.91026799238855e-06, + "loss": 0.7528, + "step": 1302 + }, + { + "epoch": 0.09, + "learning_rate": 9.91006006214013e-06, + "loss": 0.8762, + "step": 1303 + }, + { + "epoch": 0.09, + "learning_rate": 9.909851893445088e-06, + "loss": 0.9458, + "step": 1304 + }, + { + "epoch": 0.09, + "learning_rate": 9.909643486313533e-06, + "loss": 0.6604, + "step": 1305 + }, + { + "epoch": 0.09, + "learning_rate": 9.909434840755588e-06, + "loss": 1.1497, + "step": 1306 + }, + { + "epoch": 0.09, + "learning_rate": 9.909225956781382e-06, + "loss": 0.7207, + "step": 1307 + }, + { + "epoch": 0.09, + "learning_rate": 9.909016834401058e-06, + "loss": 0.675, + "step": 1308 + }, + { + "epoch": 0.09, + "learning_rate": 9.908807473624776e-06, + "loss": 1.042, + "step": 1309 + }, + { + "epoch": 0.09, + "learning_rate": 9.9085978744627e-06, + "loss": 0.8551, + "step": 1310 + }, + { + "epoch": 0.09, + "learning_rate": 9.908388036925011e-06, + "loss": 0.9712, + "step": 1311 + }, + { + "epoch": 0.09, + "learning_rate": 9.908177961021896e-06, + "loss": 0.7517, + "step": 1312 + }, + { + "epoch": 0.09, + "learning_rate": 9.90796764676356e-06, + "loss": 0.9759, + "step": 1313 + }, + { + "epoch": 0.09, + "learning_rate": 9.907757094160217e-06, + "loss": 0.5987, + "step": 1314 + }, + { + "epoch": 0.09, + "learning_rate": 9.907546303222088e-06, + "loss": 0.7593, + "step": 1315 + }, + { + "epoch": 0.09, + "learning_rate": 9.907335273959413e-06, + "loss": 0.8807, + "step": 1316 + }, + { + "epoch": 0.09, + "learning_rate": 9.907124006382438e-06, + "loss": 1.1629, + "step": 1317 + }, + { + "epoch": 0.09, + "learning_rate": 9.906912500501427e-06, + "loss": 0.9671, + "step": 1318 + }, + { + "epoch": 0.09, + "learning_rate": 9.906700756326647e-06, + "loss": 0.7937, + "step": 1319 + }, + { + "epoch": 0.09, + "learning_rate": 9.90648877386838e-06, + "loss": 1.0419, + "step": 1320 + }, + { + "epoch": 0.09, + "learning_rate": 9.906276553136924e-06, + "loss": 0.9864, + "step": 1321 + }, + { + "epoch": 0.09, + "learning_rate": 9.906064094142584e-06, + "loss": 1.0472, + "step": 1322 + }, + { + "epoch": 0.09, + "learning_rate": 9.905851396895679e-06, + "loss": 0.8342, + "step": 1323 + }, + { + "epoch": 0.09, + "learning_rate": 9.905638461406534e-06, + "loss": 1.0198, + "step": 1324 + }, + { + "epoch": 0.09, + "learning_rate": 9.905425287685493e-06, + "loss": 0.8497, + "step": 1325 + }, + { + "epoch": 0.09, + "learning_rate": 9.905211875742908e-06, + "loss": 0.5586, + "step": 1326 + }, + { + "epoch": 0.09, + "learning_rate": 9.904998225589142e-06, + "loss": 0.7167, + "step": 1327 + }, + { + "epoch": 0.09, + "learning_rate": 9.904784337234572e-06, + "loss": 0.7572, + "step": 1328 + }, + { + "epoch": 0.09, + "learning_rate": 9.904570210689584e-06, + "loss": 0.7116, + "step": 1329 + }, + { + "epoch": 0.09, + "learning_rate": 9.904355845964574e-06, + "loss": 1.0476, + "step": 1330 + }, + { + "epoch": 0.09, + "learning_rate": 9.904141243069958e-06, + "loss": 0.5988, + "step": 1331 + }, + { + "epoch": 0.09, + "learning_rate": 9.903926402016153e-06, + "loss": 0.94, + "step": 1332 + }, + { + "epoch": 0.09, + "learning_rate": 9.903711322813594e-06, + "loss": 0.7721, + "step": 1333 + }, + { + "epoch": 0.09, + "learning_rate": 9.903496005472726e-06, + "loss": 0.8121, + "step": 1334 + }, + { + "epoch": 0.09, + "learning_rate": 9.903280450004004e-06, + "loss": 1.1958, + "step": 1335 + }, + { + "epoch": 0.09, + "learning_rate": 9.9030646564179e-06, + "loss": 0.6916, + "step": 1336 + }, + { + "epoch": 0.09, + "learning_rate": 9.902848624724887e-06, + "loss": 0.6941, + "step": 1337 + }, + { + "epoch": 0.09, + "learning_rate": 9.902632354935462e-06, + "loss": 0.8177, + "step": 1338 + }, + { + "epoch": 0.09, + "learning_rate": 9.902415847060125e-06, + "loss": 0.4313, + "step": 1339 + }, + { + "epoch": 0.09, + "learning_rate": 9.902199101109392e-06, + "loss": 0.9845, + "step": 1340 + }, + { + "epoch": 0.09, + "learning_rate": 9.901982117093786e-06, + "loss": 0.8674, + "step": 1341 + }, + { + "epoch": 0.09, + "learning_rate": 9.901764895023846e-06, + "loss": 0.9091, + "step": 1342 + }, + { + "epoch": 0.09, + "learning_rate": 9.90154743491012e-06, + "loss": 0.6487, + "step": 1343 + }, + { + "epoch": 0.09, + "learning_rate": 9.901329736763171e-06, + "loss": 0.8106, + "step": 1344 + }, + { + "epoch": 0.09, + "learning_rate": 9.901111800593569e-06, + "loss": 1.2027, + "step": 1345 + }, + { + "epoch": 0.09, + "learning_rate": 9.900893626411898e-06, + "loss": 0.8861, + "step": 1346 + }, + { + "epoch": 0.09, + "learning_rate": 9.900675214228752e-06, + "loss": 0.7492, + "step": 1347 + }, + { + "epoch": 0.09, + "learning_rate": 9.90045656405474e-06, + "loss": 0.7995, + "step": 1348 + }, + { + "epoch": 0.09, + "learning_rate": 9.900237675900479e-06, + "loss": 0.7019, + "step": 1349 + }, + { + "epoch": 0.09, + "learning_rate": 9.900018549776598e-06, + "loss": 0.6972, + "step": 1350 + }, + { + "epoch": 0.09, + "learning_rate": 9.89979918569374e-06, + "loss": 0.7851, + "step": 1351 + }, + { + "epoch": 0.09, + "learning_rate": 9.899579583662557e-06, + "loss": 0.7723, + "step": 1352 + }, + { + "epoch": 0.09, + "learning_rate": 9.899359743693715e-06, + "loss": 0.827, + "step": 1353 + }, + { + "epoch": 0.09, + "learning_rate": 9.899139665797888e-06, + "loss": 0.6377, + "step": 1354 + }, + { + "epoch": 0.09, + "learning_rate": 9.898919349985765e-06, + "loss": 0.7577, + "step": 1355 + }, + { + "epoch": 0.09, + "learning_rate": 9.898698796268045e-06, + "loss": 0.7592, + "step": 1356 + }, + { + "epoch": 0.09, + "learning_rate": 9.898478004655437e-06, + "loss": 0.9238, + "step": 1357 + }, + { + "epoch": 0.09, + "learning_rate": 9.898256975158664e-06, + "loss": 0.7968, + "step": 1358 + }, + { + "epoch": 0.09, + "learning_rate": 9.898035707788462e-06, + "loss": 0.955, + "step": 1359 + }, + { + "epoch": 0.09, + "learning_rate": 9.897814202555577e-06, + "loss": 0.9149, + "step": 1360 + }, + { + "epoch": 0.09, + "learning_rate": 9.89759245947076e-06, + "loss": 0.9361, + "step": 1361 + }, + { + "epoch": 0.09, + "learning_rate": 9.897370478544785e-06, + "loss": 0.6359, + "step": 1362 + }, + { + "epoch": 0.09, + "learning_rate": 9.897148259788429e-06, + "loss": 0.9583, + "step": 1363 + }, + { + "epoch": 0.09, + "learning_rate": 9.896925803212487e-06, + "loss": 0.8129, + "step": 1364 + }, + { + "epoch": 0.09, + "learning_rate": 9.896703108827758e-06, + "loss": 0.7813, + "step": 1365 + }, + { + "epoch": 0.09, + "learning_rate": 9.89648017664506e-06, + "loss": 0.56, + "step": 1366 + }, + { + "epoch": 0.09, + "learning_rate": 9.896257006675217e-06, + "loss": 1.0453, + "step": 1367 + }, + { + "epoch": 0.09, + "learning_rate": 9.896033598929069e-06, + "loss": 0.8787, + "step": 1368 + }, + { + "epoch": 0.09, + "learning_rate": 9.895809953417464e-06, + "loss": 0.8617, + "step": 1369 + }, + { + "epoch": 0.09, + "learning_rate": 9.895586070151263e-06, + "loss": 0.83, + "step": 1370 + }, + { + "epoch": 0.09, + "learning_rate": 9.895361949141336e-06, + "loss": 1.0208, + "step": 1371 + }, + { + "epoch": 0.09, + "learning_rate": 9.89513759039857e-06, + "loss": 0.9647, + "step": 1372 + }, + { + "epoch": 0.09, + "learning_rate": 9.894912993933861e-06, + "loss": 0.7944, + "step": 1373 + }, + { + "epoch": 0.09, + "learning_rate": 9.894688159758114e-06, + "loss": 0.8138, + "step": 1374 + }, + { + "epoch": 0.09, + "learning_rate": 9.894463087882249e-06, + "loss": 1.0175, + "step": 1375 + }, + { + "epoch": 0.09, + "learning_rate": 9.894237778317195e-06, + "loss": 0.8368, + "step": 1376 + }, + { + "epoch": 0.09, + "learning_rate": 9.894012231073895e-06, + "loss": 1.0481, + "step": 1377 + }, + { + "epoch": 0.09, + "learning_rate": 9.8937864461633e-06, + "loss": 0.724, + "step": 1378 + }, + { + "epoch": 0.09, + "learning_rate": 9.893560423596378e-06, + "loss": 0.9015, + "step": 1379 + }, + { + "epoch": 0.09, + "learning_rate": 9.893334163384102e-06, + "loss": 0.8872, + "step": 1380 + }, + { + "epoch": 0.09, + "learning_rate": 9.893107665537462e-06, + "loss": 0.9744, + "step": 1381 + }, + { + "epoch": 0.09, + "learning_rate": 9.892880930067457e-06, + "loss": 0.9706, + "step": 1382 + }, + { + "epoch": 0.09, + "learning_rate": 9.892653956985097e-06, + "loss": 0.8053, + "step": 1383 + }, + { + "epoch": 0.09, + "learning_rate": 9.892426746301407e-06, + "loss": 0.8181, + "step": 1384 + }, + { + "epoch": 0.09, + "learning_rate": 9.892199298027416e-06, + "loss": 0.8666, + "step": 1385 + }, + { + "epoch": 0.09, + "learning_rate": 9.891971612174176e-06, + "loss": 0.8158, + "step": 1386 + }, + { + "epoch": 0.09, + "learning_rate": 9.891743688752738e-06, + "loss": 0.9765, + "step": 1387 + }, + { + "epoch": 0.09, + "learning_rate": 9.891515527774176e-06, + "loss": 0.8229, + "step": 1388 + }, + { + "epoch": 0.09, + "learning_rate": 9.891287129249565e-06, + "loss": 0.6566, + "step": 1389 + }, + { + "epoch": 0.09, + "learning_rate": 9.89105849319e-06, + "loss": 1.079, + "step": 1390 + }, + { + "epoch": 0.09, + "learning_rate": 9.890829619606584e-06, + "loss": 0.8399, + "step": 1391 + }, + { + "epoch": 0.09, + "learning_rate": 9.890600508510431e-06, + "loss": 0.6804, + "step": 1392 + }, + { + "epoch": 0.09, + "learning_rate": 9.890371159912668e-06, + "loss": 0.7599, + "step": 1393 + }, + { + "epoch": 0.09, + "learning_rate": 9.890141573824433e-06, + "loss": 0.8032, + "step": 1394 + }, + { + "epoch": 0.09, + "learning_rate": 9.889911750256873e-06, + "loss": 0.6801, + "step": 1395 + }, + { + "epoch": 0.09, + "learning_rate": 9.88968168922115e-06, + "loss": 0.9124, + "step": 1396 + }, + { + "epoch": 0.1, + "learning_rate": 9.88945139072844e-06, + "loss": 0.7654, + "step": 1397 + }, + { + "epoch": 0.1, + "learning_rate": 9.88922085478992e-06, + "loss": 0.844, + "step": 1398 + }, + { + "epoch": 0.1, + "learning_rate": 9.888990081416792e-06, + "loss": 0.5321, + "step": 1399 + }, + { + "epoch": 0.1, + "learning_rate": 9.88875907062026e-06, + "loss": 0.6922, + "step": 1400 + }, + { + "epoch": 0.1, + "learning_rate": 9.888527822411543e-06, + "loss": 0.829, + "step": 1401 + }, + { + "epoch": 0.1, + "learning_rate": 9.888296336801871e-06, + "loss": 0.8021, + "step": 1402 + }, + { + "epoch": 0.1, + "learning_rate": 9.888064613802485e-06, + "loss": 0.7166, + "step": 1403 + }, + { + "epoch": 0.1, + "learning_rate": 9.88783265342464e-06, + "loss": 0.5991, + "step": 1404 + }, + { + "epoch": 0.1, + "learning_rate": 9.8876004556796e-06, + "loss": 0.7992, + "step": 1405 + }, + { + "epoch": 0.1, + "learning_rate": 9.88736802057864e-06, + "loss": 0.8085, + "step": 1406 + }, + { + "epoch": 0.1, + "learning_rate": 9.887135348133048e-06, + "loss": 0.7295, + "step": 1407 + }, + { + "epoch": 0.1, + "learning_rate": 9.886902438354125e-06, + "loss": 0.9169, + "step": 1408 + }, + { + "epoch": 0.1, + "learning_rate": 9.886669291253178e-06, + "loss": 0.9429, + "step": 1409 + }, + { + "epoch": 0.1, + "learning_rate": 9.886435906841534e-06, + "loss": 0.8517, + "step": 1410 + }, + { + "epoch": 0.1, + "learning_rate": 9.886202285130524e-06, + "loss": 0.9033, + "step": 1411 + }, + { + "epoch": 0.1, + "learning_rate": 9.885968426131492e-06, + "loss": 0.9336, + "step": 1412 + }, + { + "epoch": 0.1, + "learning_rate": 9.885734329855798e-06, + "loss": 1.1096, + "step": 1413 + }, + { + "epoch": 0.1, + "learning_rate": 9.885499996314809e-06, + "loss": 1.2068, + "step": 1414 + }, + { + "epoch": 0.1, + "learning_rate": 9.885265425519906e-06, + "loss": 0.7516, + "step": 1415 + }, + { + "epoch": 0.1, + "learning_rate": 9.885030617482478e-06, + "loss": 0.7307, + "step": 1416 + }, + { + "epoch": 0.1, + "learning_rate": 9.88479557221393e-06, + "loss": 0.7371, + "step": 1417 + }, + { + "epoch": 0.1, + "learning_rate": 9.884560289725677e-06, + "loss": 0.8061, + "step": 1418 + }, + { + "epoch": 0.1, + "learning_rate": 9.884324770029143e-06, + "loss": 0.6568, + "step": 1419 + }, + { + "epoch": 0.1, + "learning_rate": 9.884089013135766e-06, + "loss": 0.7454, + "step": 1420 + }, + { + "epoch": 0.1, + "learning_rate": 9.883853019056995e-06, + "loss": 0.8092, + "step": 1421 + }, + { + "epoch": 0.1, + "learning_rate": 9.883616787804292e-06, + "loss": 0.7172, + "step": 1422 + }, + { + "epoch": 0.1, + "learning_rate": 9.883380319389129e-06, + "loss": 0.54, + "step": 1423 + }, + { + "epoch": 0.1, + "learning_rate": 9.883143613822986e-06, + "loss": 0.8886, + "step": 1424 + }, + { + "epoch": 0.1, + "learning_rate": 9.882906671117363e-06, + "loss": 0.6219, + "step": 1425 + }, + { + "epoch": 0.1, + "learning_rate": 9.882669491283763e-06, + "loss": 0.6323, + "step": 1426 + }, + { + "epoch": 0.1, + "learning_rate": 9.882432074333705e-06, + "loss": 0.9396, + "step": 1427 + }, + { + "epoch": 0.1, + "learning_rate": 9.882194420278721e-06, + "loss": 0.9965, + "step": 1428 + }, + { + "epoch": 0.1, + "learning_rate": 9.881956529130348e-06, + "loss": 0.868, + "step": 1429 + }, + { + "epoch": 0.1, + "learning_rate": 9.881718400900143e-06, + "loss": 0.8097, + "step": 1430 + }, + { + "epoch": 0.1, + "learning_rate": 9.881480035599667e-06, + "loss": 0.7971, + "step": 1431 + }, + { + "epoch": 0.1, + "learning_rate": 9.881241433240498e-06, + "loss": 0.6642, + "step": 1432 + }, + { + "epoch": 0.1, + "learning_rate": 9.881002593834221e-06, + "loss": 0.8718, + "step": 1433 + }, + { + "epoch": 0.1, + "learning_rate": 9.880763517392436e-06, + "loss": 0.9562, + "step": 1434 + }, + { + "epoch": 0.1, + "learning_rate": 9.880524203926753e-06, + "loss": 0.962, + "step": 1435 + }, + { + "epoch": 0.1, + "learning_rate": 9.880284653448796e-06, + "loss": 0.9912, + "step": 1436 + }, + { + "epoch": 0.1, + "learning_rate": 9.880044865970192e-06, + "loss": 0.5986, + "step": 1437 + }, + { + "epoch": 0.1, + "learning_rate": 9.879804841502594e-06, + "loss": 0.9547, + "step": 1438 + }, + { + "epoch": 0.1, + "learning_rate": 9.879564580057652e-06, + "loss": 0.7017, + "step": 1439 + }, + { + "epoch": 0.1, + "learning_rate": 9.879324081647035e-06, + "loss": 0.9695, + "step": 1440 + }, + { + "epoch": 0.1, + "learning_rate": 9.879083346282424e-06, + "loss": 0.8208, + "step": 1441 + }, + { + "epoch": 0.1, + "learning_rate": 9.87884237397551e-06, + "loss": 0.8397, + "step": 1442 + }, + { + "epoch": 0.1, + "learning_rate": 9.878601164737993e-06, + "loss": 0.8371, + "step": 1443 + }, + { + "epoch": 0.1, + "learning_rate": 9.878359718581588e-06, + "loss": 0.6956, + "step": 1444 + }, + { + "epoch": 0.1, + "learning_rate": 9.878118035518021e-06, + "loss": 0.9694, + "step": 1445 + }, + { + "epoch": 0.1, + "learning_rate": 9.877876115559028e-06, + "loss": 0.7275, + "step": 1446 + }, + { + "epoch": 0.1, + "learning_rate": 9.877633958716358e-06, + "loss": 0.6112, + "step": 1447 + }, + { + "epoch": 0.1, + "learning_rate": 9.87739156500177e-06, + "loss": 0.9038, + "step": 1448 + }, + { + "epoch": 0.1, + "learning_rate": 9.877148934427037e-06, + "loss": 0.457, + "step": 1449 + }, + { + "epoch": 0.1, + "learning_rate": 9.876906067003938e-06, + "loss": 0.6759, + "step": 1450 + }, + { + "epoch": 0.1, + "learning_rate": 9.876662962744273e-06, + "loss": 0.8209, + "step": 1451 + }, + { + "epoch": 0.1, + "learning_rate": 9.876419621659843e-06, + "loss": 0.8761, + "step": 1452 + }, + { + "epoch": 0.1, + "learning_rate": 9.876176043762467e-06, + "loss": 1.0798, + "step": 1453 + }, + { + "epoch": 0.1, + "learning_rate": 9.875932229063974e-06, + "loss": 0.8007, + "step": 1454 + }, + { + "epoch": 0.1, + "learning_rate": 9.875688177576203e-06, + "loss": 0.9161, + "step": 1455 + }, + { + "epoch": 0.1, + "learning_rate": 9.875443889311009e-06, + "loss": 1.0259, + "step": 1456 + }, + { + "epoch": 0.1, + "learning_rate": 9.875199364280255e-06, + "loss": 0.9205, + "step": 1457 + }, + { + "epoch": 0.1, + "learning_rate": 9.874954602495811e-06, + "loss": 0.7104, + "step": 1458 + }, + { + "epoch": 0.1, + "learning_rate": 9.874709603969567e-06, + "loss": 0.8995, + "step": 1459 + }, + { + "epoch": 0.1, + "learning_rate": 9.874464368713423e-06, + "loss": 0.7893, + "step": 1460 + }, + { + "epoch": 0.1, + "learning_rate": 9.874218896739285e-06, + "loss": 0.736, + "step": 1461 + }, + { + "epoch": 0.1, + "learning_rate": 9.873973188059073e-06, + "loss": 0.6554, + "step": 1462 + }, + { + "epoch": 0.1, + "learning_rate": 9.873727242684723e-06, + "loss": 0.9516, + "step": 1463 + }, + { + "epoch": 0.1, + "learning_rate": 9.873481060628175e-06, + "loss": 0.8498, + "step": 1464 + }, + { + "epoch": 0.1, + "learning_rate": 9.873234641901387e-06, + "loss": 0.7389, + "step": 1465 + }, + { + "epoch": 0.1, + "learning_rate": 9.872987986516325e-06, + "loss": 1.1149, + "step": 1466 + }, + { + "epoch": 0.1, + "learning_rate": 9.872741094484965e-06, + "loss": 0.7903, + "step": 1467 + }, + { + "epoch": 0.1, + "learning_rate": 9.872493965819303e-06, + "loss": 0.8348, + "step": 1468 + }, + { + "epoch": 0.1, + "learning_rate": 9.872246600531333e-06, + "loss": 0.7916, + "step": 1469 + }, + { + "epoch": 0.1, + "learning_rate": 9.871998998633072e-06, + "loss": 0.8442, + "step": 1470 + }, + { + "epoch": 0.1, + "learning_rate": 9.871751160136544e-06, + "loss": 1.0155, + "step": 1471 + }, + { + "epoch": 0.1, + "learning_rate": 9.871503085053782e-06, + "loss": 0.7861, + "step": 1472 + }, + { + "epoch": 0.1, + "learning_rate": 9.871254773396837e-06, + "loss": 0.865, + "step": 1473 + }, + { + "epoch": 0.1, + "learning_rate": 9.871006225177767e-06, + "loss": 0.8566, + "step": 1474 + }, + { + "epoch": 0.1, + "learning_rate": 9.870757440408638e-06, + "loss": 0.9117, + "step": 1475 + }, + { + "epoch": 0.1, + "learning_rate": 9.870508419101536e-06, + "loss": 1.0782, + "step": 1476 + }, + { + "epoch": 0.1, + "learning_rate": 9.870259161268553e-06, + "loss": 0.5062, + "step": 1477 + }, + { + "epoch": 0.1, + "learning_rate": 9.870009666921796e-06, + "loss": 0.8945, + "step": 1478 + }, + { + "epoch": 0.1, + "learning_rate": 9.869759936073377e-06, + "loss": 0.5835, + "step": 1479 + }, + { + "epoch": 0.1, + "learning_rate": 9.869509968735426e-06, + "loss": 0.8232, + "step": 1480 + }, + { + "epoch": 0.1, + "learning_rate": 9.869259764920081e-06, + "loss": 0.6941, + "step": 1481 + }, + { + "epoch": 0.1, + "learning_rate": 9.869009324639495e-06, + "loss": 1.0919, + "step": 1482 + }, + { + "epoch": 0.1, + "learning_rate": 9.868758647905828e-06, + "loss": 0.8191, + "step": 1483 + }, + { + "epoch": 0.1, + "learning_rate": 9.868507734731252e-06, + "loss": 0.9317, + "step": 1484 + }, + { + "epoch": 0.1, + "learning_rate": 9.868256585127956e-06, + "loss": 0.803, + "step": 1485 + }, + { + "epoch": 0.1, + "learning_rate": 9.868005199108133e-06, + "loss": 0.5518, + "step": 1486 + }, + { + "epoch": 0.1, + "learning_rate": 9.867753576683993e-06, + "loss": 0.842, + "step": 1487 + }, + { + "epoch": 0.1, + "learning_rate": 9.867501717867757e-06, + "loss": 0.8325, + "step": 1488 + }, + { + "epoch": 0.1, + "learning_rate": 9.867249622671653e-06, + "loss": 0.7312, + "step": 1489 + }, + { + "epoch": 0.1, + "learning_rate": 9.866997291107925e-06, + "loss": 1.0498, + "step": 1490 + }, + { + "epoch": 0.1, + "learning_rate": 9.866744723188826e-06, + "loss": 0.7292, + "step": 1491 + }, + { + "epoch": 0.1, + "learning_rate": 9.866491918926622e-06, + "loss": 0.9523, + "step": 1492 + }, + { + "epoch": 0.1, + "learning_rate": 9.866238878333589e-06, + "loss": 0.7334, + "step": 1493 + }, + { + "epoch": 0.1, + "learning_rate": 9.865985601422018e-06, + "loss": 0.8362, + "step": 1494 + }, + { + "epoch": 0.1, + "learning_rate": 9.865732088204206e-06, + "loss": 0.7347, + "step": 1495 + }, + { + "epoch": 0.1, + "learning_rate": 9.865478338692467e-06, + "loss": 1.0892, + "step": 1496 + }, + { + "epoch": 0.1, + "learning_rate": 9.86522435289912e-06, + "loss": 0.9865, + "step": 1497 + }, + { + "epoch": 0.1, + "learning_rate": 9.864970130836501e-06, + "loss": 0.8071, + "step": 1498 + }, + { + "epoch": 0.1, + "learning_rate": 9.864715672516958e-06, + "loss": 0.9619, + "step": 1499 + }, + { + "epoch": 0.1, + "learning_rate": 9.864460977952847e-06, + "loss": 0.706, + "step": 1500 + }, + { + "epoch": 0.1, + "learning_rate": 9.864206047156536e-06, + "loss": 0.9824, + "step": 1501 + }, + { + "epoch": 0.1, + "learning_rate": 9.863950880140405e-06, + "loss": 0.646, + "step": 1502 + }, + { + "epoch": 0.1, + "learning_rate": 9.863695476916846e-06, + "loss": 0.8706, + "step": 1503 + }, + { + "epoch": 0.1, + "learning_rate": 9.863439837498261e-06, + "loss": 1.1034, + "step": 1504 + }, + { + "epoch": 0.1, + "learning_rate": 9.863183961897067e-06, + "loss": 0.9724, + "step": 1505 + }, + { + "epoch": 0.1, + "learning_rate": 9.862927850125689e-06, + "loss": 0.597, + "step": 1506 + }, + { + "epoch": 0.1, + "learning_rate": 9.862671502196563e-06, + "loss": 0.86, + "step": 1507 + }, + { + "epoch": 0.1, + "learning_rate": 9.862414918122141e-06, + "loss": 1.0535, + "step": 1508 + }, + { + "epoch": 0.1, + "learning_rate": 9.86215809791488e-06, + "loss": 0.9823, + "step": 1509 + }, + { + "epoch": 0.1, + "learning_rate": 9.861901041587253e-06, + "loss": 0.7604, + "step": 1510 + }, + { + "epoch": 0.1, + "learning_rate": 9.861643749151748e-06, + "loss": 0.6316, + "step": 1511 + }, + { + "epoch": 0.1, + "learning_rate": 9.861386220620853e-06, + "loss": 1.0414, + "step": 1512 + }, + { + "epoch": 0.1, + "learning_rate": 9.861128456007076e-06, + "loss": 0.5838, + "step": 1513 + }, + { + "epoch": 0.1, + "learning_rate": 9.860870455322939e-06, + "loss": 0.9099, + "step": 1514 + }, + { + "epoch": 0.1, + "learning_rate": 9.860612218580966e-06, + "loss": 0.7335, + "step": 1515 + }, + { + "epoch": 0.1, + "learning_rate": 9.860353745793702e-06, + "loss": 0.9423, + "step": 1516 + }, + { + "epoch": 0.1, + "learning_rate": 9.860095036973697e-06, + "loss": 0.906, + "step": 1517 + }, + { + "epoch": 0.1, + "learning_rate": 9.859836092133512e-06, + "loss": 0.709, + "step": 1518 + }, + { + "epoch": 0.1, + "learning_rate": 9.859576911285728e-06, + "loss": 0.8972, + "step": 1519 + }, + { + "epoch": 0.1, + "learning_rate": 9.859317494442927e-06, + "loss": 0.7122, + "step": 1520 + }, + { + "epoch": 0.1, + "learning_rate": 9.859057841617709e-06, + "loss": 0.9809, + "step": 1521 + }, + { + "epoch": 0.1, + "learning_rate": 9.858797952822683e-06, + "loss": 1.0717, + "step": 1522 + }, + { + "epoch": 0.1, + "learning_rate": 9.85853782807047e-06, + "loss": 0.7228, + "step": 1523 + }, + { + "epoch": 0.1, + "learning_rate": 9.858277467373702e-06, + "loss": 0.7335, + "step": 1524 + }, + { + "epoch": 0.1, + "learning_rate": 9.858016870745025e-06, + "loss": 0.8653, + "step": 1525 + }, + { + "epoch": 0.1, + "learning_rate": 9.85775603819709e-06, + "loss": 0.7268, + "step": 1526 + }, + { + "epoch": 0.1, + "learning_rate": 9.857494969742568e-06, + "loss": 0.996, + "step": 1527 + }, + { + "epoch": 0.1, + "learning_rate": 9.857233665394134e-06, + "loss": 0.9037, + "step": 1528 + }, + { + "epoch": 0.1, + "learning_rate": 9.85697212516448e-06, + "loss": 0.9698, + "step": 1529 + }, + { + "epoch": 0.1, + "learning_rate": 9.856710349066307e-06, + "loss": 1.0955, + "step": 1530 + }, + { + "epoch": 0.1, + "learning_rate": 9.856448337112327e-06, + "loss": 0.8512, + "step": 1531 + }, + { + "epoch": 0.1, + "learning_rate": 9.856186089315264e-06, + "loss": 0.7141, + "step": 1532 + }, + { + "epoch": 0.1, + "learning_rate": 9.855923605687854e-06, + "loss": 0.6733, + "step": 1533 + }, + { + "epoch": 0.1, + "learning_rate": 9.855660886242843e-06, + "loss": 0.7378, + "step": 1534 + }, + { + "epoch": 0.1, + "learning_rate": 9.85539793099299e-06, + "loss": 0.7111, + "step": 1535 + }, + { + "epoch": 0.1, + "learning_rate": 9.855134739951064e-06, + "loss": 0.7747, + "step": 1536 + }, + { + "epoch": 0.1, + "learning_rate": 9.854871313129847e-06, + "loss": 0.8696, + "step": 1537 + }, + { + "epoch": 0.1, + "learning_rate": 9.854607650542133e-06, + "loss": 0.8211, + "step": 1538 + }, + { + "epoch": 0.1, + "learning_rate": 9.854343752200725e-06, + "loss": 1.0595, + "step": 1539 + }, + { + "epoch": 0.1, + "learning_rate": 9.854079618118438e-06, + "loss": 0.8444, + "step": 1540 + }, + { + "epoch": 0.1, + "learning_rate": 9.853815248308101e-06, + "loss": 0.8036, + "step": 1541 + }, + { + "epoch": 0.1, + "learning_rate": 9.85355064278255e-06, + "loss": 0.67, + "step": 1542 + }, + { + "epoch": 0.1, + "learning_rate": 9.853285801554637e-06, + "loss": 1.0718, + "step": 1543 + }, + { + "epoch": 0.11, + "learning_rate": 9.853020724637223e-06, + "loss": 1.0944, + "step": 1544 + }, + { + "epoch": 0.11, + "learning_rate": 9.85275541204318e-06, + "loss": 0.9024, + "step": 1545 + }, + { + "epoch": 0.11, + "learning_rate": 9.852489863785395e-06, + "loss": 0.8101, + "step": 1546 + }, + { + "epoch": 0.11, + "learning_rate": 9.852224079876761e-06, + "loss": 0.7336, + "step": 1547 + }, + { + "epoch": 0.11, + "learning_rate": 9.851958060330186e-06, + "loss": 0.9019, + "step": 1548 + }, + { + "epoch": 0.11, + "learning_rate": 9.851691805158589e-06, + "loss": 0.5997, + "step": 1549 + }, + { + "epoch": 0.11, + "learning_rate": 9.851425314374898e-06, + "loss": 1.0487, + "step": 1550 + }, + { + "epoch": 0.11, + "learning_rate": 9.851158587992059e-06, + "loss": 0.6457, + "step": 1551 + }, + { + "epoch": 0.11, + "learning_rate": 9.850891626023021e-06, + "loss": 0.6386, + "step": 1552 + }, + { + "epoch": 0.11, + "learning_rate": 9.85062442848075e-06, + "loss": 0.9152, + "step": 1553 + }, + { + "epoch": 0.11, + "learning_rate": 9.850356995378223e-06, + "loss": 0.5706, + "step": 1554 + }, + { + "epoch": 0.11, + "learning_rate": 9.850089326728425e-06, + "loss": 0.7749, + "step": 1555 + }, + { + "epoch": 0.11, + "learning_rate": 9.849821422544357e-06, + "loss": 1.0384, + "step": 1556 + }, + { + "epoch": 0.11, + "learning_rate": 9.849553282839025e-06, + "loss": 1.0293, + "step": 1557 + }, + { + "epoch": 0.11, + "learning_rate": 9.849284907625458e-06, + "loss": 0.721, + "step": 1558 + }, + { + "epoch": 0.11, + "learning_rate": 9.849016296916682e-06, + "loss": 0.7882, + "step": 1559 + }, + { + "epoch": 0.11, + "learning_rate": 9.848747450725747e-06, + "loss": 0.8099, + "step": 1560 + }, + { + "epoch": 0.11, + "learning_rate": 9.848478369065703e-06, + "loss": 0.8029, + "step": 1561 + }, + { + "epoch": 0.11, + "learning_rate": 9.848209051949621e-06, + "loss": 0.711, + "step": 1562 + }, + { + "epoch": 0.11, + "learning_rate": 9.847939499390581e-06, + "loss": 0.7245, + "step": 1563 + }, + { + "epoch": 0.11, + "learning_rate": 9.84766971140167e-06, + "loss": 0.935, + "step": 1564 + }, + { + "epoch": 0.11, + "learning_rate": 9.847399687995993e-06, + "loss": 0.9809, + "step": 1565 + }, + { + "epoch": 0.11, + "learning_rate": 9.847129429186662e-06, + "loss": 0.825, + "step": 1566 + }, + { + "epoch": 0.11, + "learning_rate": 9.846858934986798e-06, + "loss": 0.8217, + "step": 1567 + }, + { + "epoch": 0.11, + "learning_rate": 9.846588205409542e-06, + "loss": 1.042, + "step": 1568 + }, + { + "epoch": 0.11, + "learning_rate": 9.84631724046804e-06, + "loss": 0.9674, + "step": 1569 + }, + { + "epoch": 0.11, + "learning_rate": 9.846046040175448e-06, + "loss": 0.9332, + "step": 1570 + }, + { + "epoch": 0.11, + "learning_rate": 9.84577460454494e-06, + "loss": 0.7706, + "step": 1571 + }, + { + "epoch": 0.11, + "learning_rate": 9.845502933589697e-06, + "loss": 0.8333, + "step": 1572 + }, + { + "epoch": 0.11, + "learning_rate": 9.84523102732291e-06, + "loss": 0.8569, + "step": 1573 + }, + { + "epoch": 0.11, + "learning_rate": 9.844958885757786e-06, + "loss": 0.8235, + "step": 1574 + }, + { + "epoch": 0.11, + "learning_rate": 9.844686508907538e-06, + "loss": 1.0181, + "step": 1575 + }, + { + "epoch": 0.11, + "learning_rate": 9.844413896785395e-06, + "loss": 0.8643, + "step": 1576 + }, + { + "epoch": 0.11, + "learning_rate": 9.844141049404598e-06, + "loss": 1.0036, + "step": 1577 + }, + { + "epoch": 0.11, + "learning_rate": 9.843867966778394e-06, + "loss": 0.8, + "step": 1578 + }, + { + "epoch": 0.11, + "learning_rate": 9.843594648920047e-06, + "loss": 0.5674, + "step": 1579 + }, + { + "epoch": 0.11, + "learning_rate": 9.843321095842829e-06, + "loss": 0.9534, + "step": 1580 + }, + { + "epoch": 0.11, + "learning_rate": 9.843047307560024e-06, + "loss": 0.8983, + "step": 1581 + }, + { + "epoch": 0.11, + "learning_rate": 9.842773284084928e-06, + "loss": 1.0454, + "step": 1582 + }, + { + "epoch": 0.11, + "learning_rate": 9.84249902543085e-06, + "loss": 1.028, + "step": 1583 + }, + { + "epoch": 0.11, + "learning_rate": 9.842224531611106e-06, + "loss": 0.8575, + "step": 1584 + }, + { + "epoch": 0.11, + "learning_rate": 9.841949802639031e-06, + "loss": 0.6909, + "step": 1585 + }, + { + "epoch": 0.11, + "learning_rate": 9.841674838527962e-06, + "loss": 0.4943, + "step": 1586 + }, + { + "epoch": 0.11, + "learning_rate": 9.841399639291252e-06, + "loss": 0.9226, + "step": 1587 + }, + { + "epoch": 0.11, + "learning_rate": 9.84112420494227e-06, + "loss": 0.8297, + "step": 1588 + }, + { + "epoch": 0.11, + "learning_rate": 9.840848535494385e-06, + "loss": 0.9232, + "step": 1589 + }, + { + "epoch": 0.11, + "learning_rate": 9.840572630960992e-06, + "loss": 0.7672, + "step": 1590 + }, + { + "epoch": 0.11, + "learning_rate": 9.840296491355485e-06, + "loss": 0.839, + "step": 1591 + }, + { + "epoch": 0.11, + "learning_rate": 9.840020116691274e-06, + "loss": 0.8266, + "step": 1592 + }, + { + "epoch": 0.11, + "learning_rate": 9.839743506981783e-06, + "loss": 0.8122, + "step": 1593 + }, + { + "epoch": 0.11, + "learning_rate": 9.839466662240443e-06, + "loss": 0.7827, + "step": 1594 + }, + { + "epoch": 0.11, + "learning_rate": 9.839189582480697e-06, + "loss": 0.987, + "step": 1595 + }, + { + "epoch": 0.11, + "learning_rate": 9.838912267716006e-06, + "loss": 0.6064, + "step": 1596 + }, + { + "epoch": 0.11, + "learning_rate": 9.838634717959831e-06, + "loss": 0.7428, + "step": 1597 + }, + { + "epoch": 0.11, + "learning_rate": 9.838356933225656e-06, + "loss": 1.0867, + "step": 1598 + }, + { + "epoch": 0.11, + "learning_rate": 9.838078913526968e-06, + "loss": 0.858, + "step": 1599 + }, + { + "epoch": 0.11, + "learning_rate": 9.83780065887727e-06, + "loss": 0.5934, + "step": 1600 + }, + { + "epoch": 0.11, + "learning_rate": 9.837522169290072e-06, + "loss": 0.5301, + "step": 1601 + }, + { + "epoch": 0.11, + "learning_rate": 9.8372434447789e-06, + "loss": 0.6662, + "step": 1602 + }, + { + "epoch": 0.11, + "learning_rate": 9.836964485357291e-06, + "loss": 0.9465, + "step": 1603 + }, + { + "epoch": 0.11, + "learning_rate": 9.83668529103879e-06, + "loss": 0.8109, + "step": 1604 + }, + { + "epoch": 0.11, + "learning_rate": 9.836405861836957e-06, + "loss": 0.8168, + "step": 1605 + }, + { + "epoch": 0.11, + "learning_rate": 9.836126197765361e-06, + "loss": 0.6545, + "step": 1606 + }, + { + "epoch": 0.11, + "learning_rate": 9.835846298837583e-06, + "loss": 0.5649, + "step": 1607 + }, + { + "epoch": 0.11, + "learning_rate": 9.835566165067219e-06, + "loss": 0.8155, + "step": 1608 + }, + { + "epoch": 0.11, + "learning_rate": 9.835285796467867e-06, + "loss": 0.8559, + "step": 1609 + }, + { + "epoch": 0.11, + "learning_rate": 9.835005193053146e-06, + "loss": 0.7702, + "step": 1610 + }, + { + "epoch": 0.11, + "learning_rate": 9.834724354836684e-06, + "loss": 0.9077, + "step": 1611 + }, + { + "epoch": 0.11, + "learning_rate": 9.834443281832118e-06, + "loss": 0.8364, + "step": 1612 + }, + { + "epoch": 0.11, + "learning_rate": 9.834161974053098e-06, + "loss": 0.97, + "step": 1613 + }, + { + "epoch": 0.11, + "learning_rate": 9.833880431513284e-06, + "loss": 0.7112, + "step": 1614 + }, + { + "epoch": 0.11, + "learning_rate": 9.83359865422635e-06, + "loss": 0.6344, + "step": 1615 + }, + { + "epoch": 0.11, + "learning_rate": 9.83331664220598e-06, + "loss": 0.8362, + "step": 1616 + }, + { + "epoch": 0.11, + "learning_rate": 9.833034395465866e-06, + "loss": 1.136, + "step": 1617 + }, + { + "epoch": 0.11, + "learning_rate": 9.83275191401972e-06, + "loss": 0.7374, + "step": 1618 + }, + { + "epoch": 0.11, + "learning_rate": 9.832469197881255e-06, + "loss": 0.9086, + "step": 1619 + }, + { + "epoch": 0.11, + "learning_rate": 9.832186247064205e-06, + "loss": 0.5564, + "step": 1620 + }, + { + "epoch": 0.11, + "learning_rate": 9.831903061582309e-06, + "loss": 0.8334, + "step": 1621 + }, + { + "epoch": 0.11, + "learning_rate": 9.831619641449318e-06, + "loss": 0.5092, + "step": 1622 + }, + { + "epoch": 0.11, + "learning_rate": 9.831335986678998e-06, + "loss": 0.806, + "step": 1623 + }, + { + "epoch": 0.11, + "learning_rate": 9.83105209728512e-06, + "loss": 0.8792, + "step": 1624 + }, + { + "epoch": 0.11, + "learning_rate": 9.830767973281477e-06, + "loss": 1.0307, + "step": 1625 + }, + { + "epoch": 0.11, + "learning_rate": 9.830483614681863e-06, + "loss": 0.8615, + "step": 1626 + }, + { + "epoch": 0.11, + "learning_rate": 9.830199021500085e-06, + "loss": 0.7433, + "step": 1627 + }, + { + "epoch": 0.11, + "learning_rate": 9.829914193749968e-06, + "loss": 0.7294, + "step": 1628 + }, + { + "epoch": 0.11, + "learning_rate": 9.829629131445342e-06, + "loss": 1.0593, + "step": 1629 + }, + { + "epoch": 0.11, + "learning_rate": 9.829343834600052e-06, + "loss": 0.9085, + "step": 1630 + }, + { + "epoch": 0.11, + "learning_rate": 9.82905830322795e-06, + "loss": 0.9676, + "step": 1631 + }, + { + "epoch": 0.11, + "learning_rate": 9.828772537342904e-06, + "loss": 0.8876, + "step": 1632 + }, + { + "epoch": 0.11, + "learning_rate": 9.82848653695879e-06, + "loss": 0.6924, + "step": 1633 + }, + { + "epoch": 0.11, + "learning_rate": 9.828200302089502e-06, + "loss": 0.7758, + "step": 1634 + }, + { + "epoch": 0.11, + "learning_rate": 9.827913832748933e-06, + "loss": 0.9006, + "step": 1635 + }, + { + "epoch": 0.11, + "learning_rate": 9.827627128951001e-06, + "loss": 0.689, + "step": 1636 + }, + { + "epoch": 0.11, + "learning_rate": 9.827340190709625e-06, + "loss": 0.9191, + "step": 1637 + }, + { + "epoch": 0.11, + "learning_rate": 9.827053018038743e-06, + "loss": 0.8458, + "step": 1638 + }, + { + "epoch": 0.11, + "learning_rate": 9.826765610952298e-06, + "loss": 0.73, + "step": 1639 + }, + { + "epoch": 0.11, + "learning_rate": 9.82647796946425e-06, + "loss": 0.4518, + "step": 1640 + }, + { + "epoch": 0.11, + "learning_rate": 9.826190093588564e-06, + "loss": 0.6951, + "step": 1641 + }, + { + "epoch": 0.11, + "learning_rate": 9.825901983339223e-06, + "loss": 0.7001, + "step": 1642 + }, + { + "epoch": 0.11, + "learning_rate": 9.825613638730219e-06, + "loss": 0.9062, + "step": 1643 + }, + { + "epoch": 0.11, + "learning_rate": 9.825325059775553e-06, + "loss": 0.9064, + "step": 1644 + }, + { + "epoch": 0.11, + "learning_rate": 9.825036246489239e-06, + "loss": 0.6323, + "step": 1645 + }, + { + "epoch": 0.11, + "learning_rate": 9.824747198885306e-06, + "loss": 0.9559, + "step": 1646 + }, + { + "epoch": 0.11, + "learning_rate": 9.824457916977785e-06, + "loss": 0.9275, + "step": 1647 + }, + { + "epoch": 0.11, + "learning_rate": 9.82416840078073e-06, + "loss": 0.7431, + "step": 1648 + }, + { + "epoch": 0.11, + "learning_rate": 9.823878650308196e-06, + "loss": 0.9544, + "step": 1649 + }, + { + "epoch": 0.11, + "learning_rate": 9.823588665574259e-06, + "loss": 0.7601, + "step": 1650 + }, + { + "epoch": 0.11, + "learning_rate": 9.823298446592998e-06, + "loss": 0.7786, + "step": 1651 + }, + { + "epoch": 0.11, + "learning_rate": 9.823007993378509e-06, + "loss": 0.6866, + "step": 1652 + }, + { + "epoch": 0.11, + "learning_rate": 9.822717305944895e-06, + "loss": 0.6809, + "step": 1653 + }, + { + "epoch": 0.11, + "learning_rate": 9.822426384306274e-06, + "loss": 0.6683, + "step": 1654 + }, + { + "epoch": 0.11, + "learning_rate": 9.822135228476774e-06, + "loss": 0.8672, + "step": 1655 + }, + { + "epoch": 0.11, + "learning_rate": 9.821843838470536e-06, + "loss": 0.6753, + "step": 1656 + }, + { + "epoch": 0.11, + "learning_rate": 9.821552214301705e-06, + "loss": 0.9829, + "step": 1657 + }, + { + "epoch": 0.11, + "learning_rate": 9.82126035598445e-06, + "loss": 0.9219, + "step": 1658 + }, + { + "epoch": 0.11, + "learning_rate": 9.820968263532942e-06, + "loss": 1.0237, + "step": 1659 + }, + { + "epoch": 0.11, + "learning_rate": 9.820675936961364e-06, + "loss": 0.9055, + "step": 1660 + }, + { + "epoch": 0.11, + "learning_rate": 9.820383376283914e-06, + "loss": 0.7923, + "step": 1661 + }, + { + "epoch": 0.11, + "learning_rate": 9.820090581514799e-06, + "loss": 0.8492, + "step": 1662 + }, + { + "epoch": 0.11, + "learning_rate": 9.819797552668238e-06, + "loss": 0.9602, + "step": 1663 + }, + { + "epoch": 0.11, + "learning_rate": 9.81950428975846e-06, + "loss": 0.7721, + "step": 1664 + }, + { + "epoch": 0.11, + "learning_rate": 9.819210792799711e-06, + "loss": 0.7885, + "step": 1665 + }, + { + "epoch": 0.11, + "learning_rate": 9.81891706180624e-06, + "loss": 0.6724, + "step": 1666 + }, + { + "epoch": 0.11, + "learning_rate": 9.818623096792312e-06, + "loss": 0.7474, + "step": 1667 + }, + { + "epoch": 0.11, + "learning_rate": 9.818328897772205e-06, + "loss": 0.727, + "step": 1668 + }, + { + "epoch": 0.11, + "learning_rate": 9.818034464760201e-06, + "loss": 0.7057, + "step": 1669 + }, + { + "epoch": 0.11, + "learning_rate": 9.817739797770606e-06, + "loss": 0.8905, + "step": 1670 + }, + { + "epoch": 0.11, + "learning_rate": 9.817444896817724e-06, + "loss": 0.6207, + "step": 1671 + }, + { + "epoch": 0.11, + "learning_rate": 9.817149761915879e-06, + "loss": 0.6645, + "step": 1672 + }, + { + "epoch": 0.11, + "learning_rate": 9.816854393079402e-06, + "loss": 0.5058, + "step": 1673 + }, + { + "epoch": 0.11, + "learning_rate": 9.816558790322638e-06, + "loss": 0.8868, + "step": 1674 + }, + { + "epoch": 0.11, + "learning_rate": 9.816262953659944e-06, + "loss": 0.7567, + "step": 1675 + }, + { + "epoch": 0.11, + "learning_rate": 9.815966883105681e-06, + "loss": 0.8299, + "step": 1676 + }, + { + "epoch": 0.11, + "learning_rate": 9.815670578674232e-06, + "loss": 0.5062, + "step": 1677 + }, + { + "epoch": 0.11, + "learning_rate": 9.815374040379987e-06, + "loss": 0.9223, + "step": 1678 + }, + { + "epoch": 0.11, + "learning_rate": 9.815077268237342e-06, + "loss": 0.9367, + "step": 1679 + }, + { + "epoch": 0.11, + "learning_rate": 9.814780262260714e-06, + "loss": 0.7847, + "step": 1680 + }, + { + "epoch": 0.11, + "learning_rate": 9.814483022464524e-06, + "loss": 0.7767, + "step": 1681 + }, + { + "epoch": 0.11, + "learning_rate": 9.814185548863208e-06, + "loss": 0.9759, + "step": 1682 + }, + { + "epoch": 0.11, + "learning_rate": 9.81388784147121e-06, + "loss": 0.9917, + "step": 1683 + }, + { + "epoch": 0.11, + "learning_rate": 9.813589900302992e-06, + "loss": 0.6222, + "step": 1684 + }, + { + "epoch": 0.11, + "learning_rate": 9.813291725373017e-06, + "loss": 1.0244, + "step": 1685 + }, + { + "epoch": 0.11, + "learning_rate": 9.81299331669577e-06, + "loss": 0.7436, + "step": 1686 + }, + { + "epoch": 0.11, + "learning_rate": 9.812694674285738e-06, + "loss": 1.0008, + "step": 1687 + }, + { + "epoch": 0.11, + "learning_rate": 9.812395798157427e-06, + "loss": 0.6756, + "step": 1688 + }, + { + "epoch": 0.11, + "learning_rate": 9.812096688325354e-06, + "loss": 0.9117, + "step": 1689 + }, + { + "epoch": 0.11, + "learning_rate": 9.81179734480404e-06, + "loss": 1.2417, + "step": 1690 + }, + { + "epoch": 0.12, + "learning_rate": 9.811497767608022e-06, + "loss": 0.8763, + "step": 1691 + }, + { + "epoch": 0.12, + "learning_rate": 9.811197956751851e-06, + "loss": 0.7213, + "step": 1692 + }, + { + "epoch": 0.12, + "learning_rate": 9.810897912250086e-06, + "loss": 0.8387, + "step": 1693 + }, + { + "epoch": 0.12, + "learning_rate": 9.810597634117297e-06, + "loss": 1.0898, + "step": 1694 + }, + { + "epoch": 0.12, + "learning_rate": 9.810297122368067e-06, + "loss": 0.8159, + "step": 1695 + }, + { + "epoch": 0.12, + "learning_rate": 9.809996377016989e-06, + "loss": 1.0434, + "step": 1696 + }, + { + "epoch": 0.12, + "learning_rate": 9.80969539807867e-06, + "loss": 0.9937, + "step": 1697 + }, + { + "epoch": 0.12, + "learning_rate": 9.809394185567724e-06, + "loss": 0.5457, + "step": 1698 + }, + { + "epoch": 0.12, + "learning_rate": 9.80909273949878e-06, + "loss": 0.7491, + "step": 1699 + }, + { + "epoch": 0.12, + "learning_rate": 9.808791059886478e-06, + "loss": 0.8798, + "step": 1700 + }, + { + "epoch": 0.12, + "learning_rate": 9.808489146745466e-06, + "loss": 0.7931, + "step": 1701 + }, + { + "epoch": 0.12, + "learning_rate": 9.808187000090407e-06, + "loss": 1.0017, + "step": 1702 + }, + { + "epoch": 0.12, + "learning_rate": 9.807884619935975e-06, + "loss": 0.8403, + "step": 1703 + }, + { + "epoch": 0.12, + "learning_rate": 9.807582006296855e-06, + "loss": 0.7808, + "step": 1704 + }, + { + "epoch": 0.12, + "learning_rate": 9.80727915918774e-06, + "loss": 1.0552, + "step": 1705 + }, + { + "epoch": 0.12, + "learning_rate": 9.806976078623337e-06, + "loss": 0.8449, + "step": 1706 + }, + { + "epoch": 0.12, + "learning_rate": 9.806672764618368e-06, + "loss": 0.9202, + "step": 1707 + }, + { + "epoch": 0.12, + "learning_rate": 9.80636921718756e-06, + "loss": 0.658, + "step": 1708 + }, + { + "epoch": 0.12, + "learning_rate": 9.806065436345655e-06, + "loss": 0.8241, + "step": 1709 + }, + { + "epoch": 0.12, + "learning_rate": 9.805761422107407e-06, + "loss": 0.8708, + "step": 1710 + }, + { + "epoch": 0.12, + "learning_rate": 9.805457174487576e-06, + "loss": 0.694, + "step": 1711 + }, + { + "epoch": 0.12, + "learning_rate": 9.80515269350094e-06, + "loss": 0.8352, + "step": 1712 + }, + { + "epoch": 0.12, + "learning_rate": 9.804847979162286e-06, + "loss": 0.7002, + "step": 1713 + }, + { + "epoch": 0.12, + "learning_rate": 9.80454303148641e-06, + "loss": 0.7281, + "step": 1714 + }, + { + "epoch": 0.12, + "learning_rate": 9.804237850488123e-06, + "loss": 0.9901, + "step": 1715 + }, + { + "epoch": 0.12, + "learning_rate": 9.803932436182242e-06, + "loss": 0.7919, + "step": 1716 + }, + { + "epoch": 0.12, + "learning_rate": 9.803626788583603e-06, + "loss": 0.8624, + "step": 1717 + }, + { + "epoch": 0.12, + "learning_rate": 9.803320907707047e-06, + "loss": 0.8315, + "step": 1718 + }, + { + "epoch": 0.12, + "learning_rate": 9.803014793567429e-06, + "loss": 0.7015, + "step": 1719 + }, + { + "epoch": 0.12, + "learning_rate": 9.802708446179611e-06, + "loss": 0.9455, + "step": 1720 + }, + { + "epoch": 0.12, + "learning_rate": 9.802401865558477e-06, + "loss": 0.8675, + "step": 1721 + }, + { + "epoch": 0.12, + "learning_rate": 9.802095051718912e-06, + "loss": 0.8935, + "step": 1722 + }, + { + "epoch": 0.12, + "learning_rate": 9.801788004675814e-06, + "loss": 0.8808, + "step": 1723 + }, + { + "epoch": 0.12, + "learning_rate": 9.801480724444096e-06, + "loss": 0.7885, + "step": 1724 + }, + { + "epoch": 0.12, + "learning_rate": 9.801173211038682e-06, + "loss": 0.7681, + "step": 1725 + }, + { + "epoch": 0.12, + "learning_rate": 9.800865464474503e-06, + "loss": 0.9834, + "step": 1726 + }, + { + "epoch": 0.12, + "learning_rate": 9.800557484766505e-06, + "loss": 0.6873, + "step": 1727 + }, + { + "epoch": 0.12, + "learning_rate": 9.800249271929645e-06, + "loss": 0.8759, + "step": 1728 + }, + { + "epoch": 0.12, + "learning_rate": 9.799940825978888e-06, + "loss": 0.6269, + "step": 1729 + }, + { + "epoch": 0.12, + "learning_rate": 9.799632146929216e-06, + "loss": 0.9915, + "step": 1730 + }, + { + "epoch": 0.12, + "learning_rate": 9.79932323479562e-06, + "loss": 0.8078, + "step": 1731 + }, + { + "epoch": 0.12, + "learning_rate": 9.7990140895931e-06, + "loss": 0.8713, + "step": 1732 + }, + { + "epoch": 0.12, + "learning_rate": 9.798704711336669e-06, + "loss": 0.813, + "step": 1733 + }, + { + "epoch": 0.12, + "learning_rate": 9.79839510004135e-06, + "loss": 0.8316, + "step": 1734 + }, + { + "epoch": 0.12, + "learning_rate": 9.79808525572218e-06, + "loss": 1.1043, + "step": 1735 + }, + { + "epoch": 0.12, + "learning_rate": 9.797775178394207e-06, + "loss": 0.9942, + "step": 1736 + }, + { + "epoch": 0.12, + "learning_rate": 9.797464868072489e-06, + "loss": 0.7319, + "step": 1737 + }, + { + "epoch": 0.12, + "learning_rate": 9.797154324772092e-06, + "loss": 1.0098, + "step": 1738 + }, + { + "epoch": 0.12, + "learning_rate": 9.796843548508101e-06, + "loss": 0.723, + "step": 1739 + }, + { + "epoch": 0.12, + "learning_rate": 9.796532539295607e-06, + "loss": 0.733, + "step": 1740 + }, + { + "epoch": 0.12, + "learning_rate": 9.796221297149716e-06, + "loss": 0.6864, + "step": 1741 + }, + { + "epoch": 0.12, + "learning_rate": 9.795909822085537e-06, + "loss": 0.562, + "step": 1742 + }, + { + "epoch": 0.12, + "learning_rate": 9.795598114118199e-06, + "loss": 0.7045, + "step": 1743 + }, + { + "epoch": 0.12, + "learning_rate": 9.79528617326284e-06, + "loss": 0.8708, + "step": 1744 + }, + { + "epoch": 0.12, + "learning_rate": 9.794973999534609e-06, + "loss": 0.7412, + "step": 1745 + }, + { + "epoch": 0.12, + "learning_rate": 9.794661592948665e-06, + "loss": 0.8887, + "step": 1746 + }, + { + "epoch": 0.12, + "learning_rate": 9.794348953520181e-06, + "loss": 0.797, + "step": 1747 + }, + { + "epoch": 0.12, + "learning_rate": 9.794036081264337e-06, + "loss": 1.0368, + "step": 1748 + }, + { + "epoch": 0.12, + "learning_rate": 9.79372297619633e-06, + "loss": 0.7039, + "step": 1749 + }, + { + "epoch": 0.12, + "learning_rate": 9.793409638331364e-06, + "loss": 1.2106, + "step": 1750 + }, + { + "epoch": 0.12, + "learning_rate": 9.793096067684653e-06, + "loss": 1.1307, + "step": 1751 + }, + { + "epoch": 0.12, + "learning_rate": 9.79278226427143e-06, + "loss": 0.7109, + "step": 1752 + }, + { + "epoch": 0.12, + "learning_rate": 9.79246822810693e-06, + "loss": 0.5511, + "step": 1753 + }, + { + "epoch": 0.12, + "learning_rate": 9.792153959206405e-06, + "loss": 0.8536, + "step": 1754 + }, + { + "epoch": 0.12, + "learning_rate": 9.791839457585118e-06, + "loss": 0.8245, + "step": 1755 + }, + { + "epoch": 0.12, + "learning_rate": 9.791524723258338e-06, + "loss": 0.9464, + "step": 1756 + }, + { + "epoch": 0.12, + "learning_rate": 9.791209756241356e-06, + "loss": 1.018, + "step": 1757 + }, + { + "epoch": 0.12, + "learning_rate": 9.79089455654946e-06, + "loss": 0.7922, + "step": 1758 + }, + { + "epoch": 0.12, + "learning_rate": 9.790579124197963e-06, + "loss": 0.6636, + "step": 1759 + }, + { + "epoch": 0.12, + "learning_rate": 9.790263459202182e-06, + "loss": 1.0902, + "step": 1760 + }, + { + "epoch": 0.12, + "learning_rate": 9.789947561577445e-06, + "loss": 0.6871, + "step": 1761 + }, + { + "epoch": 0.12, + "learning_rate": 9.789631431339094e-06, + "loss": 0.7884, + "step": 1762 + }, + { + "epoch": 0.12, + "learning_rate": 9.78931506850248e-06, + "loss": 0.8098, + "step": 1763 + }, + { + "epoch": 0.12, + "learning_rate": 9.788998473082968e-06, + "loss": 0.8514, + "step": 1764 + }, + { + "epoch": 0.12, + "learning_rate": 9.788681645095935e-06, + "loss": 0.6603, + "step": 1765 + }, + { + "epoch": 0.12, + "learning_rate": 9.78836458455676e-06, + "loss": 0.5845, + "step": 1766 + }, + { + "epoch": 0.12, + "learning_rate": 9.788047291480846e-06, + "loss": 0.8759, + "step": 1767 + }, + { + "epoch": 0.12, + "learning_rate": 9.787729765883602e-06, + "loss": 0.8628, + "step": 1768 + }, + { + "epoch": 0.12, + "learning_rate": 9.787412007780445e-06, + "loss": 0.9737, + "step": 1769 + }, + { + "epoch": 0.12, + "learning_rate": 9.787094017186807e-06, + "loss": 0.7698, + "step": 1770 + }, + { + "epoch": 0.12, + "learning_rate": 9.786775794118132e-06, + "loss": 0.7676, + "step": 1771 + }, + { + "epoch": 0.12, + "learning_rate": 9.786457338589871e-06, + "loss": 1.1777, + "step": 1772 + }, + { + "epoch": 0.12, + "learning_rate": 9.786138650617494e-06, + "loss": 1.0153, + "step": 1773 + }, + { + "epoch": 0.12, + "learning_rate": 9.785819730216474e-06, + "loss": 1.0251, + "step": 1774 + }, + { + "epoch": 0.12, + "learning_rate": 9.785500577402299e-06, + "loss": 0.6996, + "step": 1775 + }, + { + "epoch": 0.12, + "learning_rate": 9.785181192190467e-06, + "loss": 0.8876, + "step": 1776 + }, + { + "epoch": 0.12, + "learning_rate": 9.784861574596489e-06, + "loss": 0.7156, + "step": 1777 + }, + { + "epoch": 0.12, + "learning_rate": 9.784541724635888e-06, + "loss": 0.8937, + "step": 1778 + }, + { + "epoch": 0.12, + "learning_rate": 9.784221642324194e-06, + "loss": 0.9093, + "step": 1779 + }, + { + "epoch": 0.12, + "learning_rate": 9.783901327676955e-06, + "loss": 0.5598, + "step": 1780 + }, + { + "epoch": 0.12, + "learning_rate": 9.783580780709723e-06, + "loss": 1.0186, + "step": 1781 + }, + { + "epoch": 0.12, + "learning_rate": 9.783260001438066e-06, + "loss": 0.8255, + "step": 1782 + }, + { + "epoch": 0.12, + "learning_rate": 9.782938989877562e-06, + "loss": 0.8119, + "step": 1783 + }, + { + "epoch": 0.12, + "learning_rate": 9.782617746043801e-06, + "loss": 0.7477, + "step": 1784 + }, + { + "epoch": 0.12, + "learning_rate": 9.78229626995238e-06, + "loss": 0.8947, + "step": 1785 + }, + { + "epoch": 0.12, + "learning_rate": 9.781974561618917e-06, + "loss": 0.7349, + "step": 1786 + }, + { + "epoch": 0.12, + "learning_rate": 9.78165262105903e-06, + "loss": 0.9143, + "step": 1787 + }, + { + "epoch": 0.12, + "learning_rate": 9.781330448288355e-06, + "loss": 0.7262, + "step": 1788 + }, + { + "epoch": 0.12, + "learning_rate": 9.781008043322537e-06, + "loss": 0.692, + "step": 1789 + }, + { + "epoch": 0.12, + "learning_rate": 9.780685406177233e-06, + "loss": 0.612, + "step": 1790 + }, + { + "epoch": 0.12, + "learning_rate": 9.780362536868113e-06, + "loss": 0.8336, + "step": 1791 + }, + { + "epoch": 0.12, + "learning_rate": 9.780039435410855e-06, + "loss": 0.7866, + "step": 1792 + }, + { + "epoch": 0.12, + "learning_rate": 9.779716101821149e-06, + "loss": 0.6387, + "step": 1793 + }, + { + "epoch": 0.12, + "learning_rate": 9.779392536114698e-06, + "loss": 0.9994, + "step": 1794 + }, + { + "epoch": 0.12, + "learning_rate": 9.779068738307215e-06, + "loss": 0.9629, + "step": 1795 + }, + { + "epoch": 0.12, + "learning_rate": 9.778744708414425e-06, + "loss": 1.1775, + "step": 1796 + }, + { + "epoch": 0.12, + "learning_rate": 9.778420446452063e-06, + "loss": 0.7971, + "step": 1797 + }, + { + "epoch": 0.12, + "learning_rate": 9.778095952435879e-06, + "loss": 0.7388, + "step": 1798 + }, + { + "epoch": 0.12, + "learning_rate": 9.777771226381628e-06, + "loss": 0.9275, + "step": 1799 + }, + { + "epoch": 0.12, + "learning_rate": 9.777446268305079e-06, + "loss": 0.9199, + "step": 1800 + }, + { + "epoch": 0.12, + "learning_rate": 9.777121078222015e-06, + "loss": 0.9252, + "step": 1801 + }, + { + "epoch": 0.12, + "learning_rate": 9.776795656148229e-06, + "loss": 0.8357, + "step": 1802 + }, + { + "epoch": 0.12, + "learning_rate": 9.77647000209952e-06, + "loss": 0.8729, + "step": 1803 + }, + { + "epoch": 0.12, + "learning_rate": 9.776144116091708e-06, + "loss": 0.6, + "step": 1804 + }, + { + "epoch": 0.12, + "learning_rate": 9.775817998140615e-06, + "loss": 0.9685, + "step": 1805 + }, + { + "epoch": 0.12, + "learning_rate": 9.775491648262084e-06, + "loss": 0.9594, + "step": 1806 + }, + { + "epoch": 0.12, + "learning_rate": 9.775165066471954e-06, + "loss": 0.8771, + "step": 1807 + }, + { + "epoch": 0.12, + "learning_rate": 9.774838252786094e-06, + "loss": 0.567, + "step": 1808 + }, + { + "epoch": 0.12, + "learning_rate": 9.774511207220369e-06, + "loss": 0.924, + "step": 1809 + }, + { + "epoch": 0.12, + "learning_rate": 9.774183929790665e-06, + "loss": 0.4881, + "step": 1810 + }, + { + "epoch": 0.12, + "learning_rate": 9.773856420512876e-06, + "loss": 0.8908, + "step": 1811 + }, + { + "epoch": 0.12, + "learning_rate": 9.773528679402901e-06, + "loss": 1.0318, + "step": 1812 + }, + { + "epoch": 0.12, + "learning_rate": 9.77320070647666e-06, + "loss": 0.7875, + "step": 1813 + }, + { + "epoch": 0.12, + "learning_rate": 9.772872501750083e-06, + "loss": 1.0187, + "step": 1814 + }, + { + "epoch": 0.12, + "learning_rate": 9.772544065239105e-06, + "loss": 0.8418, + "step": 1815 + }, + { + "epoch": 0.12, + "learning_rate": 9.772215396959674e-06, + "loss": 0.725, + "step": 1816 + }, + { + "epoch": 0.12, + "learning_rate": 9.771886496927756e-06, + "loss": 1.0381, + "step": 1817 + }, + { + "epoch": 0.12, + "learning_rate": 9.77155736515932e-06, + "loss": 0.8079, + "step": 1818 + }, + { + "epoch": 0.12, + "learning_rate": 9.771228001670351e-06, + "loss": 0.8186, + "step": 1819 + }, + { + "epoch": 0.12, + "learning_rate": 9.770898406476843e-06, + "loss": 0.7949, + "step": 1820 + }, + { + "epoch": 0.12, + "learning_rate": 9.770568579594803e-06, + "loss": 0.8208, + "step": 1821 + }, + { + "epoch": 0.12, + "learning_rate": 9.770238521040248e-06, + "loss": 1.0209, + "step": 1822 + }, + { + "epoch": 0.12, + "learning_rate": 9.769908230829205e-06, + "loss": 0.9451, + "step": 1823 + }, + { + "epoch": 0.12, + "learning_rate": 9.769577708977716e-06, + "loss": 0.7303, + "step": 1824 + }, + { + "epoch": 0.12, + "learning_rate": 9.76924695550183e-06, + "loss": 0.9143, + "step": 1825 + }, + { + "epoch": 0.12, + "learning_rate": 9.768915970417614e-06, + "loss": 0.8622, + "step": 1826 + }, + { + "epoch": 0.12, + "learning_rate": 9.768584753741134e-06, + "loss": 0.7379, + "step": 1827 + }, + { + "epoch": 0.12, + "learning_rate": 9.768253305488483e-06, + "loss": 0.6088, + "step": 1828 + }, + { + "epoch": 0.12, + "learning_rate": 9.767921625675751e-06, + "loss": 0.7486, + "step": 1829 + }, + { + "epoch": 0.12, + "learning_rate": 9.767589714319049e-06, + "loss": 0.7312, + "step": 1830 + }, + { + "epoch": 0.12, + "learning_rate": 9.767257571434492e-06, + "loss": 0.885, + "step": 1831 + }, + { + "epoch": 0.12, + "learning_rate": 9.766925197038213e-06, + "loss": 0.9705, + "step": 1832 + }, + { + "epoch": 0.12, + "learning_rate": 9.766592591146353e-06, + "loss": 1.0891, + "step": 1833 + }, + { + "epoch": 0.12, + "learning_rate": 9.76625975377506e-06, + "loss": 0.6874, + "step": 1834 + }, + { + "epoch": 0.12, + "learning_rate": 9.765926684940503e-06, + "loss": 0.9923, + "step": 1835 + }, + { + "epoch": 0.12, + "learning_rate": 9.765593384658855e-06, + "loss": 0.8904, + "step": 1836 + }, + { + "epoch": 0.12, + "learning_rate": 9.7652598529463e-06, + "loss": 0.7589, + "step": 1837 + }, + { + "epoch": 0.13, + "learning_rate": 9.76492608981904e-06, + "loss": 0.8327, + "step": 1838 + }, + { + "epoch": 0.13, + "learning_rate": 9.764592095293278e-06, + "loss": 0.7996, + "step": 1839 + }, + { + "epoch": 0.13, + "learning_rate": 9.764257869385235e-06, + "loss": 0.7659, + "step": 1840 + }, + { + "epoch": 0.13, + "learning_rate": 9.763923412111146e-06, + "loss": 0.6928, + "step": 1841 + }, + { + "epoch": 0.13, + "learning_rate": 9.763588723487245e-06, + "loss": 0.9513, + "step": 1842 + }, + { + "epoch": 0.13, + "learning_rate": 9.763253803529796e-06, + "loss": 0.7355, + "step": 1843 + }, + { + "epoch": 0.13, + "learning_rate": 9.762918652255055e-06, + "loss": 0.9714, + "step": 1844 + }, + { + "epoch": 0.13, + "learning_rate": 9.762583269679304e-06, + "loss": 1.0141, + "step": 1845 + }, + { + "epoch": 0.13, + "learning_rate": 9.762247655818827e-06, + "loss": 0.9561, + "step": 1846 + }, + { + "epoch": 0.13, + "learning_rate": 9.76191181068992e-06, + "loss": 0.9069, + "step": 1847 + }, + { + "epoch": 0.13, + "learning_rate": 9.761575734308896e-06, + "loss": 0.8112, + "step": 1848 + }, + { + "epoch": 0.13, + "learning_rate": 9.761239426692077e-06, + "loss": 0.7017, + "step": 1849 + }, + { + "epoch": 0.13, + "learning_rate": 9.760902887855794e-06, + "loss": 1.1308, + "step": 1850 + }, + { + "epoch": 0.13, + "learning_rate": 9.760566117816387e-06, + "loss": 0.8878, + "step": 1851 + }, + { + "epoch": 0.13, + "learning_rate": 9.760229116590214e-06, + "loss": 0.7188, + "step": 1852 + }, + { + "epoch": 0.13, + "learning_rate": 9.75989188419364e-06, + "loss": 0.7374, + "step": 1853 + }, + { + "epoch": 0.13, + "learning_rate": 9.759554420643043e-06, + "loss": 0.9403, + "step": 1854 + }, + { + "epoch": 0.13, + "learning_rate": 9.759216725954807e-06, + "loss": 0.9337, + "step": 1855 + }, + { + "epoch": 0.13, + "learning_rate": 9.758878800145337e-06, + "loss": 1.0517, + "step": 1856 + }, + { + "epoch": 0.13, + "learning_rate": 9.758540643231041e-06, + "loss": 0.6168, + "step": 1857 + }, + { + "epoch": 0.13, + "learning_rate": 9.75820225522834e-06, + "loss": 0.9116, + "step": 1858 + }, + { + "epoch": 0.13, + "learning_rate": 9.757863636153669e-06, + "loss": 0.7643, + "step": 1859 + }, + { + "epoch": 0.13, + "learning_rate": 9.75752478602347e-06, + "loss": 1.0918, + "step": 1860 + }, + { + "epoch": 0.13, + "learning_rate": 9.757185704854199e-06, + "loss": 0.9043, + "step": 1861 + }, + { + "epoch": 0.13, + "learning_rate": 9.756846392662326e-06, + "loss": 0.7633, + "step": 1862 + }, + { + "epoch": 0.13, + "learning_rate": 9.756506849464327e-06, + "loss": 0.8788, + "step": 1863 + }, + { + "epoch": 0.13, + "learning_rate": 9.756167075276688e-06, + "loss": 0.9702, + "step": 1864 + }, + { + "epoch": 0.13, + "learning_rate": 9.755827070115915e-06, + "loss": 0.8111, + "step": 1865 + }, + { + "epoch": 0.13, + "learning_rate": 9.755486833998515e-06, + "loss": 0.7928, + "step": 1866 + }, + { + "epoch": 0.13, + "learning_rate": 9.755146366941014e-06, + "loss": 0.7645, + "step": 1867 + }, + { + "epoch": 0.13, + "learning_rate": 9.754805668959944e-06, + "loss": 0.6834, + "step": 1868 + }, + { + "epoch": 0.13, + "learning_rate": 9.754464740071852e-06, + "loss": 0.9704, + "step": 1869 + }, + { + "epoch": 0.13, + "learning_rate": 9.75412358029329e-06, + "loss": 0.9788, + "step": 1870 + }, + { + "epoch": 0.13, + "learning_rate": 9.753782189640833e-06, + "loss": 0.6818, + "step": 1871 + }, + { + "epoch": 0.13, + "learning_rate": 9.753440568131056e-06, + "loss": 0.6878, + "step": 1872 + }, + { + "epoch": 0.13, + "learning_rate": 9.753098715780546e-06, + "loss": 0.754, + "step": 1873 + }, + { + "epoch": 0.13, + "learning_rate": 9.75275663260591e-06, + "loss": 0.6097, + "step": 1874 + }, + { + "epoch": 0.13, + "learning_rate": 9.752414318623759e-06, + "loss": 0.8762, + "step": 1875 + }, + { + "epoch": 0.13, + "learning_rate": 9.752071773850715e-06, + "loss": 0.9519, + "step": 1876 + }, + { + "epoch": 0.13, + "learning_rate": 9.751728998303413e-06, + "loss": 0.9747, + "step": 1877 + }, + { + "epoch": 0.13, + "learning_rate": 9.751385991998501e-06, + "loss": 0.7667, + "step": 1878 + }, + { + "epoch": 0.13, + "learning_rate": 9.751042754952636e-06, + "loss": 0.9566, + "step": 1879 + }, + { + "epoch": 0.13, + "learning_rate": 9.750699287182484e-06, + "loss": 0.6781, + "step": 1880 + }, + { + "epoch": 0.13, + "learning_rate": 9.750355588704728e-06, + "loss": 0.6838, + "step": 1881 + }, + { + "epoch": 0.13, + "learning_rate": 9.750011659536057e-06, + "loss": 0.9906, + "step": 1882 + }, + { + "epoch": 0.13, + "learning_rate": 9.749667499693174e-06, + "loss": 0.8128, + "step": 1883 + }, + { + "epoch": 0.13, + "learning_rate": 9.749323109192792e-06, + "loss": 0.9353, + "step": 1884 + }, + { + "epoch": 0.13, + "learning_rate": 9.748978488051637e-06, + "loss": 0.6764, + "step": 1885 + }, + { + "epoch": 0.13, + "learning_rate": 9.748633636286443e-06, + "loss": 1.0961, + "step": 1886 + }, + { + "epoch": 0.13, + "learning_rate": 9.748288553913958e-06, + "loss": 0.8103, + "step": 1887 + }, + { + "epoch": 0.13, + "learning_rate": 9.747943240950939e-06, + "loss": 0.9164, + "step": 1888 + }, + { + "epoch": 0.13, + "learning_rate": 9.747597697414157e-06, + "loss": 0.7505, + "step": 1889 + }, + { + "epoch": 0.13, + "learning_rate": 9.74725192332039e-06, + "loss": 0.9344, + "step": 1890 + }, + { + "epoch": 0.13, + "learning_rate": 9.746905918686436e-06, + "loss": 0.7571, + "step": 1891 + }, + { + "epoch": 0.13, + "learning_rate": 9.74655968352909e-06, + "loss": 0.9854, + "step": 1892 + }, + { + "epoch": 0.13, + "learning_rate": 9.74621321786517e-06, + "loss": 1.1534, + "step": 1893 + }, + { + "epoch": 0.13, + "learning_rate": 9.745866521711502e-06, + "loss": 0.8137, + "step": 1894 + }, + { + "epoch": 0.13, + "learning_rate": 9.745519595084922e-06, + "loss": 0.9215, + "step": 1895 + }, + { + "epoch": 0.13, + "learning_rate": 9.745172438002276e-06, + "loss": 0.8025, + "step": 1896 + }, + { + "epoch": 0.13, + "learning_rate": 9.744825050480425e-06, + "loss": 0.5914, + "step": 1897 + }, + { + "epoch": 0.13, + "learning_rate": 9.74447743253624e-06, + "loss": 0.8293, + "step": 1898 + }, + { + "epoch": 0.13, + "learning_rate": 9.744129584186599e-06, + "loss": 0.6871, + "step": 1899 + }, + { + "epoch": 0.13, + "learning_rate": 9.743781505448398e-06, + "loss": 0.7114, + "step": 1900 + }, + { + "epoch": 0.13, + "learning_rate": 9.743433196338537e-06, + "loss": 0.6703, + "step": 1901 + }, + { + "epoch": 0.13, + "learning_rate": 9.743084656873933e-06, + "loss": 0.8597, + "step": 1902 + }, + { + "epoch": 0.13, + "learning_rate": 9.742735887071515e-06, + "loss": 0.6946, + "step": 1903 + }, + { + "epoch": 0.13, + "learning_rate": 9.742386886948215e-06, + "loss": 0.9575, + "step": 1904 + }, + { + "epoch": 0.13, + "learning_rate": 9.742037656520984e-06, + "loss": 0.6534, + "step": 1905 + }, + { + "epoch": 0.13, + "learning_rate": 9.741688195806781e-06, + "loss": 0.9136, + "step": 1906 + }, + { + "epoch": 0.13, + "learning_rate": 9.741338504822577e-06, + "loss": 0.8743, + "step": 1907 + }, + { + "epoch": 0.13, + "learning_rate": 9.740988583585356e-06, + "loss": 0.9557, + "step": 1908 + }, + { + "epoch": 0.13, + "learning_rate": 9.740638432112108e-06, + "loss": 1.0307, + "step": 1909 + }, + { + "epoch": 0.13, + "learning_rate": 9.740288050419839e-06, + "loss": 0.8591, + "step": 1910 + }, + { + "epoch": 0.13, + "learning_rate": 9.739937438525565e-06, + "loss": 0.793, + "step": 1911 + }, + { + "epoch": 0.13, + "learning_rate": 9.739586596446311e-06, + "loss": 0.8566, + "step": 1912 + }, + { + "epoch": 0.13, + "learning_rate": 9.739235524199117e-06, + "loss": 1.0195, + "step": 1913 + }, + { + "epoch": 0.13, + "learning_rate": 9.738884221801031e-06, + "loss": 0.6215, + "step": 1914 + }, + { + "epoch": 0.13, + "learning_rate": 9.738532689269111e-06, + "loss": 0.5626, + "step": 1915 + }, + { + "epoch": 0.13, + "learning_rate": 9.738180926620434e-06, + "loss": 0.8778, + "step": 1916 + }, + { + "epoch": 0.13, + "learning_rate": 9.737828933872076e-06, + "loss": 0.7109, + "step": 1917 + }, + { + "epoch": 0.13, + "learning_rate": 9.737476711041136e-06, + "loss": 0.8663, + "step": 1918 + }, + { + "epoch": 0.13, + "learning_rate": 9.737124258144716e-06, + "loss": 1.0726, + "step": 1919 + }, + { + "epoch": 0.13, + "learning_rate": 9.736771575199932e-06, + "loss": 0.875, + "step": 1920 + }, + { + "epoch": 0.13, + "learning_rate": 9.736418662223915e-06, + "loss": 0.7775, + "step": 1921 + }, + { + "epoch": 0.13, + "learning_rate": 9.7360655192338e-06, + "loss": 0.48, + "step": 1922 + }, + { + "epoch": 0.13, + "learning_rate": 9.735712146246737e-06, + "loss": 0.891, + "step": 1923 + }, + { + "epoch": 0.13, + "learning_rate": 9.735358543279889e-06, + "loss": 0.9432, + "step": 1924 + }, + { + "epoch": 0.13, + "learning_rate": 9.735004710350424e-06, + "loss": 0.7028, + "step": 1925 + }, + { + "epoch": 0.13, + "learning_rate": 9.73465064747553e-06, + "loss": 0.7943, + "step": 1926 + }, + { + "epoch": 0.13, + "learning_rate": 9.734296354672397e-06, + "loss": 0.6101, + "step": 1927 + }, + { + "epoch": 0.13, + "learning_rate": 9.733941831958231e-06, + "loss": 1.1245, + "step": 1928 + }, + { + "epoch": 0.13, + "learning_rate": 9.733587079350254e-06, + "loss": 0.8599, + "step": 1929 + }, + { + "epoch": 0.13, + "learning_rate": 9.733232096865686e-06, + "loss": 0.8556, + "step": 1930 + }, + { + "epoch": 0.13, + "learning_rate": 9.73287688452177e-06, + "loss": 0.9311, + "step": 1931 + }, + { + "epoch": 0.13, + "learning_rate": 9.732521442335758e-06, + "loss": 0.849, + "step": 1932 + }, + { + "epoch": 0.13, + "learning_rate": 9.732165770324906e-06, + "loss": 0.9809, + "step": 1933 + }, + { + "epoch": 0.13, + "learning_rate": 9.731809868506491e-06, + "loss": 0.445, + "step": 1934 + }, + { + "epoch": 0.13, + "learning_rate": 9.731453736897796e-06, + "loss": 0.6728, + "step": 1935 + }, + { + "epoch": 0.13, + "learning_rate": 9.731097375516113e-06, + "loss": 0.6997, + "step": 1936 + }, + { + "epoch": 0.13, + "learning_rate": 9.730740784378755e-06, + "loss": 0.7214, + "step": 1937 + }, + { + "epoch": 0.13, + "learning_rate": 9.730383963503028e-06, + "loss": 0.7965, + "step": 1938 + }, + { + "epoch": 0.13, + "learning_rate": 9.730026912906269e-06, + "loss": 1.0103, + "step": 1939 + }, + { + "epoch": 0.13, + "learning_rate": 9.729669632605814e-06, + "loss": 0.797, + "step": 1940 + }, + { + "epoch": 0.13, + "learning_rate": 9.729312122619013e-06, + "loss": 0.8471, + "step": 1941 + }, + { + "epoch": 0.13, + "learning_rate": 9.72895438296323e-06, + "loss": 0.7439, + "step": 1942 + }, + { + "epoch": 0.13, + "learning_rate": 9.728596413655837e-06, + "loss": 0.8343, + "step": 1943 + }, + { + "epoch": 0.13, + "learning_rate": 9.72823821471422e-06, + "loss": 1.2427, + "step": 1944 + }, + { + "epoch": 0.13, + "learning_rate": 9.727879786155767e-06, + "loss": 0.5425, + "step": 1945 + }, + { + "epoch": 0.13, + "learning_rate": 9.727521127997892e-06, + "loss": 0.8505, + "step": 1946 + }, + { + "epoch": 0.13, + "learning_rate": 9.727162240258009e-06, + "loss": 0.5575, + "step": 1947 + }, + { + "epoch": 0.13, + "learning_rate": 9.726803122953547e-06, + "loss": 0.7084, + "step": 1948 + }, + { + "epoch": 0.13, + "learning_rate": 9.726443776101947e-06, + "loss": 0.7837, + "step": 1949 + }, + { + "epoch": 0.13, + "learning_rate": 9.72608419972066e-06, + "loss": 0.7308, + "step": 1950 + }, + { + "epoch": 0.13, + "learning_rate": 9.725724393827145e-06, + "loss": 0.9642, + "step": 1951 + }, + { + "epoch": 0.13, + "learning_rate": 9.725364358438878e-06, + "loss": 1.0301, + "step": 1952 + }, + { + "epoch": 0.13, + "learning_rate": 9.725004093573343e-06, + "loss": 0.8047, + "step": 1953 + }, + { + "epoch": 0.13, + "learning_rate": 9.724643599248035e-06, + "loss": 0.8059, + "step": 1954 + }, + { + "epoch": 0.13, + "learning_rate": 9.72428287548046e-06, + "loss": 0.6284, + "step": 1955 + }, + { + "epoch": 0.13, + "learning_rate": 9.723921922288138e-06, + "loss": 0.6338, + "step": 1956 + }, + { + "epoch": 0.13, + "learning_rate": 9.723560739688596e-06, + "loss": 0.8534, + "step": 1957 + }, + { + "epoch": 0.13, + "learning_rate": 9.723199327699376e-06, + "loss": 0.7438, + "step": 1958 + }, + { + "epoch": 0.13, + "learning_rate": 9.722837686338025e-06, + "loss": 0.9898, + "step": 1959 + }, + { + "epoch": 0.13, + "learning_rate": 9.722475815622108e-06, + "loss": 0.8113, + "step": 1960 + }, + { + "epoch": 0.13, + "learning_rate": 9.7221137155692e-06, + "loss": 0.9699, + "step": 1961 + }, + { + "epoch": 0.13, + "learning_rate": 9.721751386196885e-06, + "loss": 0.9383, + "step": 1962 + }, + { + "epoch": 0.13, + "learning_rate": 9.721388827522757e-06, + "loss": 0.5943, + "step": 1963 + }, + { + "epoch": 0.13, + "learning_rate": 9.721026039564423e-06, + "loss": 0.811, + "step": 1964 + }, + { + "epoch": 0.13, + "learning_rate": 9.720663022339503e-06, + "loss": 0.8126, + "step": 1965 + }, + { + "epoch": 0.13, + "learning_rate": 9.720299775865625e-06, + "loss": 0.642, + "step": 1966 + }, + { + "epoch": 0.13, + "learning_rate": 9.719936300160428e-06, + "loss": 1.0667, + "step": 1967 + }, + { + "epoch": 0.13, + "learning_rate": 9.719572595241566e-06, + "loss": 0.964, + "step": 1968 + }, + { + "epoch": 0.13, + "learning_rate": 9.7192086611267e-06, + "loss": 0.9078, + "step": 1969 + }, + { + "epoch": 0.13, + "learning_rate": 9.718844497833504e-06, + "loss": 0.969, + "step": 1970 + }, + { + "epoch": 0.13, + "learning_rate": 9.718480105379663e-06, + "loss": 0.9648, + "step": 1971 + }, + { + "epoch": 0.13, + "learning_rate": 9.718115483782873e-06, + "loss": 0.7068, + "step": 1972 + }, + { + "epoch": 0.13, + "learning_rate": 9.717750633060841e-06, + "loss": 1.0629, + "step": 1973 + }, + { + "epoch": 0.13, + "learning_rate": 9.717385553231284e-06, + "loss": 0.8189, + "step": 1974 + }, + { + "epoch": 0.13, + "learning_rate": 9.717020244311932e-06, + "loss": 0.8162, + "step": 1975 + }, + { + "epoch": 0.13, + "learning_rate": 9.716654706320528e-06, + "loss": 0.6346, + "step": 1976 + }, + { + "epoch": 0.13, + "learning_rate": 9.716288939274818e-06, + "loss": 0.896, + "step": 1977 + }, + { + "epoch": 0.13, + "learning_rate": 9.71592294319257e-06, + "loss": 0.776, + "step": 1978 + }, + { + "epoch": 0.13, + "learning_rate": 9.715556718091556e-06, + "loss": 1.0011, + "step": 1979 + }, + { + "epoch": 0.13, + "learning_rate": 9.715190263989562e-06, + "loss": 0.8946, + "step": 1980 + }, + { + "epoch": 0.13, + "learning_rate": 9.71482358090438e-06, + "loss": 0.9698, + "step": 1981 + }, + { + "epoch": 0.13, + "learning_rate": 9.714456668853822e-06, + "loss": 0.8374, + "step": 1982 + }, + { + "epoch": 0.13, + "learning_rate": 9.714089527855705e-06, + "loss": 0.6964, + "step": 1983 + }, + { + "epoch": 0.13, + "learning_rate": 9.713722157927856e-06, + "loss": 0.7351, + "step": 1984 + }, + { + "epoch": 0.14, + "learning_rate": 9.713354559088119e-06, + "loss": 0.7167, + "step": 1985 + }, + { + "epoch": 0.14, + "learning_rate": 9.712986731354344e-06, + "loss": 0.7314, + "step": 1986 + }, + { + "epoch": 0.14, + "learning_rate": 9.712618674744393e-06, + "loss": 0.7412, + "step": 1987 + }, + { + "epoch": 0.14, + "learning_rate": 9.71225038927614e-06, + "loss": 0.5705, + "step": 1988 + }, + { + "epoch": 0.14, + "learning_rate": 9.711881874967471e-06, + "loss": 0.8611, + "step": 1989 + }, + { + "epoch": 0.14, + "learning_rate": 9.711513131836283e-06, + "loss": 0.7881, + "step": 1990 + }, + { + "epoch": 0.14, + "learning_rate": 9.71114415990048e-06, + "loss": 0.7255, + "step": 1991 + }, + { + "epoch": 0.14, + "learning_rate": 9.710774959177983e-06, + "loss": 0.666, + "step": 1992 + }, + { + "epoch": 0.14, + "learning_rate": 9.710405529686722e-06, + "loss": 0.6331, + "step": 1993 + }, + { + "epoch": 0.14, + "learning_rate": 9.710035871444636e-06, + "loss": 0.8153, + "step": 1994 + }, + { + "epoch": 0.14, + "learning_rate": 9.709665984469676e-06, + "loss": 0.9131, + "step": 1995 + }, + { + "epoch": 0.14, + "learning_rate": 9.709295868779807e-06, + "loss": 0.6414, + "step": 1996 + }, + { + "epoch": 0.14, + "learning_rate": 9.708925524393e-06, + "loss": 0.7746, + "step": 1997 + }, + { + "epoch": 0.14, + "learning_rate": 9.708554951327243e-06, + "loss": 0.5684, + "step": 1998 + }, + { + "epoch": 0.14, + "learning_rate": 9.70818414960053e-06, + "loss": 0.9202, + "step": 1999 + }, + { + "epoch": 0.14, + "learning_rate": 9.70781311923087e-06, + "loss": 0.8435, + "step": 2000 + }, + { + "epoch": 0.14, + "learning_rate": 9.707441860236278e-06, + "loss": 0.9542, + "step": 2001 + }, + { + "epoch": 0.14, + "learning_rate": 9.707070372634788e-06, + "loss": 0.9778, + "step": 2002 + }, + { + "epoch": 0.14, + "learning_rate": 9.706698656444438e-06, + "loss": 1.0596, + "step": 2003 + }, + { + "epoch": 0.14, + "learning_rate": 9.706326711683277e-06, + "loss": 0.8701, + "step": 2004 + }, + { + "epoch": 0.14, + "learning_rate": 9.705954538369375e-06, + "loss": 0.762, + "step": 2005 + }, + { + "epoch": 0.14, + "learning_rate": 9.705582136520798e-06, + "loss": 0.7772, + "step": 2006 + }, + { + "epoch": 0.14, + "learning_rate": 9.705209506155635e-06, + "loss": 0.9933, + "step": 2007 + }, + { + "epoch": 0.14, + "learning_rate": 9.704836647291981e-06, + "loss": 0.9516, + "step": 2008 + }, + { + "epoch": 0.14, + "learning_rate": 9.704463559947944e-06, + "loss": 0.7959, + "step": 2009 + }, + { + "epoch": 0.14, + "learning_rate": 9.70409024414164e-06, + "loss": 0.823, + "step": 2010 + }, + { + "epoch": 0.14, + "learning_rate": 9.703716699891202e-06, + "loss": 1.0642, + "step": 2011 + }, + { + "epoch": 0.14, + "learning_rate": 9.703342927214766e-06, + "loss": 0.8092, + "step": 2012 + }, + { + "epoch": 0.14, + "learning_rate": 9.702968926130486e-06, + "loss": 0.8025, + "step": 2013 + }, + { + "epoch": 0.14, + "learning_rate": 9.702594696656525e-06, + "loss": 0.547, + "step": 2014 + }, + { + "epoch": 0.14, + "learning_rate": 9.702220238811056e-06, + "loss": 0.6773, + "step": 2015 + }, + { + "epoch": 0.14, + "learning_rate": 9.701845552612261e-06, + "loss": 0.8546, + "step": 2016 + }, + { + "epoch": 0.14, + "learning_rate": 9.70147063807834e-06, + "loss": 0.7155, + "step": 2017 + }, + { + "epoch": 0.14, + "learning_rate": 9.7010954952275e-06, + "loss": 0.7062, + "step": 2018 + }, + { + "epoch": 0.14, + "learning_rate": 9.700720124077957e-06, + "loss": 0.744, + "step": 2019 + }, + { + "epoch": 0.14, + "learning_rate": 9.700344524647938e-06, + "loss": 0.9228, + "step": 2020 + }, + { + "epoch": 0.14, + "learning_rate": 9.699968696955688e-06, + "loss": 0.7709, + "step": 2021 + }, + { + "epoch": 0.14, + "learning_rate": 9.699592641019455e-06, + "loss": 0.822, + "step": 2022 + }, + { + "epoch": 0.14, + "learning_rate": 9.699216356857502e-06, + "loss": 0.9963, + "step": 2023 + }, + { + "epoch": 0.14, + "learning_rate": 9.698839844488104e-06, + "loss": 0.8253, + "step": 2024 + }, + { + "epoch": 0.14, + "learning_rate": 9.698463103929542e-06, + "loss": 0.9408, + "step": 2025 + }, + { + "epoch": 0.14, + "learning_rate": 9.698086135200116e-06, + "loss": 0.6094, + "step": 2026 + }, + { + "epoch": 0.14, + "learning_rate": 9.697708938318129e-06, + "loss": 1.0087, + "step": 2027 + }, + { + "epoch": 0.14, + "learning_rate": 9.697331513301903e-06, + "loss": 0.7391, + "step": 2028 + }, + { + "epoch": 0.14, + "learning_rate": 9.696953860169761e-06, + "loss": 0.4714, + "step": 2029 + }, + { + "epoch": 0.14, + "learning_rate": 9.696575978940048e-06, + "loss": 0.9209, + "step": 2030 + }, + { + "epoch": 0.14, + "learning_rate": 9.696197869631111e-06, + "loss": 0.9704, + "step": 2031 + }, + { + "epoch": 0.14, + "learning_rate": 9.695819532261316e-06, + "loss": 0.8569, + "step": 2032 + }, + { + "epoch": 0.14, + "learning_rate": 9.695440966849034e-06, + "loss": 0.9763, + "step": 2033 + }, + { + "epoch": 0.14, + "learning_rate": 9.695062173412648e-06, + "loss": 0.7237, + "step": 2034 + }, + { + "epoch": 0.14, + "learning_rate": 9.694683151970556e-06, + "loss": 0.6214, + "step": 2035 + }, + { + "epoch": 0.14, + "learning_rate": 9.694303902541164e-06, + "loss": 0.7256, + "step": 2036 + }, + { + "epoch": 0.14, + "learning_rate": 9.693924425142886e-06, + "loss": 0.7895, + "step": 2037 + }, + { + "epoch": 0.14, + "learning_rate": 9.693544719794157e-06, + "loss": 0.9256, + "step": 2038 + }, + { + "epoch": 0.14, + "learning_rate": 9.69316478651341e-06, + "loss": 1.0789, + "step": 2039 + }, + { + "epoch": 0.14, + "learning_rate": 9.692784625319098e-06, + "loss": 0.8429, + "step": 2040 + }, + { + "epoch": 0.14, + "learning_rate": 9.692404236229684e-06, + "loss": 0.7768, + "step": 2041 + }, + { + "epoch": 0.14, + "learning_rate": 9.69202361926364e-06, + "loss": 0.676, + "step": 2042 + }, + { + "epoch": 0.14, + "learning_rate": 9.69164277443945e-06, + "loss": 0.6451, + "step": 2043 + }, + { + "epoch": 0.14, + "learning_rate": 9.691261701775607e-06, + "loss": 0.9267, + "step": 2044 + }, + { + "epoch": 0.14, + "learning_rate": 9.690880401290621e-06, + "loss": 1.0644, + "step": 2045 + }, + { + "epoch": 0.14, + "learning_rate": 9.690498873003006e-06, + "loss": 0.9998, + "step": 2046 + }, + { + "epoch": 0.14, + "learning_rate": 9.69011711693129e-06, + "loss": 0.7237, + "step": 2047 + }, + { + "epoch": 0.14, + "learning_rate": 9.689735133094013e-06, + "loss": 0.9984, + "step": 2048 + }, + { + "epoch": 0.14, + "learning_rate": 9.689352921509725e-06, + "loss": 1.0097, + "step": 2049 + }, + { + "epoch": 0.14, + "learning_rate": 9.68897048219699e-06, + "loss": 0.8001, + "step": 2050 + }, + { + "epoch": 0.14, + "learning_rate": 9.688587815174375e-06, + "loss": 0.6947, + "step": 2051 + }, + { + "epoch": 0.14, + "learning_rate": 9.688204920460467e-06, + "loss": 1.0277, + "step": 2052 + }, + { + "epoch": 0.14, + "learning_rate": 9.687821798073858e-06, + "loss": 0.7933, + "step": 2053 + }, + { + "epoch": 0.14, + "learning_rate": 9.687438448033157e-06, + "loss": 0.7835, + "step": 2054 + }, + { + "epoch": 0.14, + "learning_rate": 9.68705487035698e-06, + "loss": 0.8893, + "step": 2055 + }, + { + "epoch": 0.14, + "learning_rate": 9.68667106506395e-06, + "loss": 1.1264, + "step": 2056 + }, + { + "epoch": 0.14, + "learning_rate": 9.686287032172712e-06, + "loss": 0.9481, + "step": 2057 + }, + { + "epoch": 0.14, + "learning_rate": 9.685902771701913e-06, + "loss": 0.6725, + "step": 2058 + }, + { + "epoch": 0.14, + "learning_rate": 9.685518283670212e-06, + "loss": 0.9603, + "step": 2059 + }, + { + "epoch": 0.14, + "learning_rate": 9.685133568096284e-06, + "loss": 0.7316, + "step": 2060 + }, + { + "epoch": 0.14, + "learning_rate": 9.68474862499881e-06, + "loss": 1.0833, + "step": 2061 + }, + { + "epoch": 0.14, + "learning_rate": 9.684363454396483e-06, + "loss": 0.7822, + "step": 2062 + }, + { + "epoch": 0.14, + "learning_rate": 9.683978056308012e-06, + "loss": 0.9808, + "step": 2063 + }, + { + "epoch": 0.14, + "learning_rate": 9.683592430752107e-06, + "loss": 0.4879, + "step": 2064 + }, + { + "epoch": 0.14, + "learning_rate": 9.683206577747501e-06, + "loss": 0.6138, + "step": 2065 + }, + { + "epoch": 0.14, + "learning_rate": 9.682820497312928e-06, + "loss": 0.7479, + "step": 2066 + }, + { + "epoch": 0.14, + "learning_rate": 9.68243418946714e-06, + "loss": 1.0039, + "step": 2067 + }, + { + "epoch": 0.14, + "learning_rate": 9.682047654228895e-06, + "loss": 0.7583, + "step": 2068 + }, + { + "epoch": 0.14, + "learning_rate": 9.681660891616967e-06, + "loss": 1.0853, + "step": 2069 + }, + { + "epoch": 0.14, + "learning_rate": 9.681273901650134e-06, + "loss": 0.8156, + "step": 2070 + }, + { + "epoch": 0.14, + "learning_rate": 9.680886684347194e-06, + "loss": 0.7272, + "step": 2071 + }, + { + "epoch": 0.14, + "learning_rate": 9.680499239726948e-06, + "loss": 0.771, + "step": 2072 + }, + { + "epoch": 0.14, + "learning_rate": 9.680111567808212e-06, + "loss": 0.6543, + "step": 2073 + }, + { + "epoch": 0.14, + "learning_rate": 9.679723668609815e-06, + "loss": 0.9037, + "step": 2074 + }, + { + "epoch": 0.14, + "learning_rate": 9.679335542150592e-06, + "loss": 0.9519, + "step": 2075 + }, + { + "epoch": 0.14, + "learning_rate": 9.678947188449393e-06, + "loss": 0.739, + "step": 2076 + }, + { + "epoch": 0.14, + "learning_rate": 9.678558607525075e-06, + "loss": 0.6412, + "step": 2077 + }, + { + "epoch": 0.14, + "learning_rate": 9.678169799396512e-06, + "loss": 0.9228, + "step": 2078 + }, + { + "epoch": 0.14, + "learning_rate": 9.677780764082583e-06, + "loss": 0.687, + "step": 2079 + }, + { + "epoch": 0.14, + "learning_rate": 9.677391501602183e-06, + "loss": 0.8436, + "step": 2080 + }, + { + "epoch": 0.14, + "learning_rate": 9.677002011974213e-06, + "loss": 0.7731, + "step": 2081 + }, + { + "epoch": 0.14, + "learning_rate": 9.676612295217588e-06, + "loss": 0.7882, + "step": 2082 + }, + { + "epoch": 0.14, + "learning_rate": 9.676222351351236e-06, + "loss": 1.0695, + "step": 2083 + }, + { + "epoch": 0.14, + "learning_rate": 9.675832180394093e-06, + "loss": 0.7636, + "step": 2084 + }, + { + "epoch": 0.14, + "learning_rate": 9.675441782365107e-06, + "loss": 0.6598, + "step": 2085 + }, + { + "epoch": 0.14, + "learning_rate": 9.675051157283236e-06, + "loss": 0.8659, + "step": 2086 + }, + { + "epoch": 0.14, + "learning_rate": 9.674660305167451e-06, + "loss": 0.643, + "step": 2087 + }, + { + "epoch": 0.14, + "learning_rate": 9.67426922603673e-06, + "loss": 0.8117, + "step": 2088 + }, + { + "epoch": 0.14, + "learning_rate": 9.673877919910069e-06, + "loss": 0.6709, + "step": 2089 + }, + { + "epoch": 0.14, + "learning_rate": 9.673486386806469e-06, + "loss": 0.8179, + "step": 2090 + }, + { + "epoch": 0.14, + "learning_rate": 9.673094626744944e-06, + "loss": 0.8708, + "step": 2091 + }, + { + "epoch": 0.14, + "learning_rate": 9.672702639744517e-06, + "loss": 0.9196, + "step": 2092 + }, + { + "epoch": 0.14, + "learning_rate": 9.672310425824228e-06, + "loss": 0.5774, + "step": 2093 + }, + { + "epoch": 0.14, + "learning_rate": 9.671917985003121e-06, + "loss": 0.7918, + "step": 2094 + }, + { + "epoch": 0.14, + "learning_rate": 9.671525317300254e-06, + "loss": 0.8035, + "step": 2095 + }, + { + "epoch": 0.14, + "learning_rate": 9.6711324227347e-06, + "loss": 0.7536, + "step": 2096 + }, + { + "epoch": 0.14, + "learning_rate": 9.670739301325534e-06, + "loss": 0.8033, + "step": 2097 + }, + { + "epoch": 0.14, + "learning_rate": 9.670345953091851e-06, + "loss": 0.8841, + "step": 2098 + }, + { + "epoch": 0.14, + "learning_rate": 9.669952378052749e-06, + "loss": 0.539, + "step": 2099 + }, + { + "epoch": 0.14, + "learning_rate": 9.669558576227347e-06, + "loss": 1.0218, + "step": 2100 + }, + { + "epoch": 0.14, + "learning_rate": 9.669164547634763e-06, + "loss": 0.9548, + "step": 2101 + }, + { + "epoch": 0.14, + "learning_rate": 9.668770292294135e-06, + "loss": 0.7447, + "step": 2102 + }, + { + "epoch": 0.14, + "learning_rate": 9.668375810224611e-06, + "loss": 0.74, + "step": 2103 + }, + { + "epoch": 0.14, + "learning_rate": 9.667981101445346e-06, + "loss": 0.8092, + "step": 2104 + }, + { + "epoch": 0.14, + "learning_rate": 9.667586165975507e-06, + "loss": 0.6195, + "step": 2105 + }, + { + "epoch": 0.14, + "learning_rate": 9.667191003834276e-06, + "loss": 0.9806, + "step": 2106 + }, + { + "epoch": 0.14, + "learning_rate": 9.66679561504084e-06, + "loss": 0.7263, + "step": 2107 + }, + { + "epoch": 0.14, + "learning_rate": 9.666399999614403e-06, + "loss": 0.957, + "step": 2108 + }, + { + "epoch": 0.14, + "learning_rate": 9.666004157574177e-06, + "loss": 0.8119, + "step": 2109 + }, + { + "epoch": 0.14, + "learning_rate": 9.665608088939384e-06, + "loss": 0.8051, + "step": 2110 + }, + { + "epoch": 0.14, + "learning_rate": 9.665211793729259e-06, + "loss": 0.9, + "step": 2111 + }, + { + "epoch": 0.14, + "learning_rate": 9.664815271963045e-06, + "loss": 0.7762, + "step": 2112 + }, + { + "epoch": 0.14, + "learning_rate": 9.664418523660004e-06, + "loss": 0.8568, + "step": 2113 + }, + { + "epoch": 0.14, + "learning_rate": 9.664021548839398e-06, + "loss": 0.6508, + "step": 2114 + }, + { + "epoch": 0.14, + "learning_rate": 9.663624347520506e-06, + "loss": 0.7283, + "step": 2115 + }, + { + "epoch": 0.14, + "learning_rate": 9.663226919722617e-06, + "loss": 0.7422, + "step": 2116 + }, + { + "epoch": 0.14, + "learning_rate": 9.662829265465033e-06, + "loss": 0.8176, + "step": 2117 + }, + { + "epoch": 0.14, + "learning_rate": 9.662431384767067e-06, + "loss": 0.6015, + "step": 2118 + }, + { + "epoch": 0.14, + "learning_rate": 9.662033277648036e-06, + "loss": 0.8345, + "step": 2119 + }, + { + "epoch": 0.14, + "learning_rate": 9.661634944127274e-06, + "loss": 0.5801, + "step": 2120 + }, + { + "epoch": 0.14, + "learning_rate": 9.66123638422413e-06, + "loss": 0.7407, + "step": 2121 + }, + { + "epoch": 0.14, + "learning_rate": 9.660837597957954e-06, + "loss": 0.9132, + "step": 2122 + }, + { + "epoch": 0.14, + "learning_rate": 9.660438585348117e-06, + "loss": 0.9284, + "step": 2123 + }, + { + "epoch": 0.14, + "learning_rate": 9.660039346413994e-06, + "loss": 0.7878, + "step": 2124 + }, + { + "epoch": 0.14, + "learning_rate": 9.659639881174972e-06, + "loss": 0.777, + "step": 2125 + }, + { + "epoch": 0.14, + "learning_rate": 9.65924018965045e-06, + "loss": 0.7901, + "step": 2126 + }, + { + "epoch": 0.14, + "learning_rate": 9.65884027185984e-06, + "loss": 0.7819, + "step": 2127 + }, + { + "epoch": 0.14, + "learning_rate": 9.658440127822562e-06, + "loss": 0.8876, + "step": 2128 + }, + { + "epoch": 0.14, + "learning_rate": 9.658039757558048e-06, + "loss": 0.9392, + "step": 2129 + }, + { + "epoch": 0.14, + "learning_rate": 9.657639161085743e-06, + "loss": 0.9375, + "step": 2130 + }, + { + "epoch": 0.14, + "learning_rate": 9.6572383384251e-06, + "loss": 0.8077, + "step": 2131 + }, + { + "epoch": 0.15, + "learning_rate": 9.656837289595582e-06, + "loss": 0.7238, + "step": 2132 + }, + { + "epoch": 0.15, + "learning_rate": 9.65643601461667e-06, + "loss": 0.6544, + "step": 2133 + }, + { + "epoch": 0.15, + "learning_rate": 9.656034513507846e-06, + "loss": 0.7119, + "step": 2134 + }, + { + "epoch": 0.15, + "learning_rate": 9.65563278628861e-06, + "loss": 0.836, + "step": 2135 + }, + { + "epoch": 0.15, + "learning_rate": 9.65523083297847e-06, + "loss": 0.6813, + "step": 2136 + }, + { + "epoch": 0.15, + "learning_rate": 9.65482865359695e-06, + "loss": 1.0351, + "step": 2137 + }, + { + "epoch": 0.15, + "learning_rate": 9.654426248163577e-06, + "loss": 0.9405, + "step": 2138 + }, + { + "epoch": 0.15, + "learning_rate": 9.654023616697895e-06, + "loss": 0.63, + "step": 2139 + }, + { + "epoch": 0.15, + "learning_rate": 9.653620759219452e-06, + "loss": 1.0623, + "step": 2140 + }, + { + "epoch": 0.15, + "learning_rate": 9.65321767574782e-06, + "loss": 0.7917, + "step": 2141 + }, + { + "epoch": 0.15, + "learning_rate": 9.65281436630257e-06, + "loss": 0.8541, + "step": 2142 + }, + { + "epoch": 0.15, + "learning_rate": 9.652410830903285e-06, + "loss": 0.8199, + "step": 2143 + }, + { + "epoch": 0.15, + "learning_rate": 9.652007069569566e-06, + "loss": 0.9738, + "step": 2144 + }, + { + "epoch": 0.15, + "learning_rate": 9.651603082321019e-06, + "loss": 0.9813, + "step": 2145 + }, + { + "epoch": 0.15, + "learning_rate": 9.651198869177263e-06, + "loss": 0.682, + "step": 2146 + }, + { + "epoch": 0.15, + "learning_rate": 9.650794430157928e-06, + "loss": 0.8703, + "step": 2147 + }, + { + "epoch": 0.15, + "learning_rate": 9.650389765282655e-06, + "loss": 0.6819, + "step": 2148 + }, + { + "epoch": 0.15, + "learning_rate": 9.649984874571095e-06, + "loss": 0.7639, + "step": 2149 + }, + { + "epoch": 0.15, + "learning_rate": 9.649579758042911e-06, + "loss": 0.89, + "step": 2150 + }, + { + "epoch": 0.15, + "learning_rate": 9.649174415717776e-06, + "loss": 0.9371, + "step": 2151 + }, + { + "epoch": 0.15, + "learning_rate": 9.648768847615375e-06, + "loss": 0.7333, + "step": 2152 + }, + { + "epoch": 0.15, + "learning_rate": 9.648363053755406e-06, + "loss": 0.8529, + "step": 2153 + }, + { + "epoch": 0.15, + "learning_rate": 9.64795703415757e-06, + "loss": 0.5367, + "step": 2154 + }, + { + "epoch": 0.15, + "learning_rate": 9.64755078884159e-06, + "loss": 0.8287, + "step": 2155 + }, + { + "epoch": 0.15, + "learning_rate": 9.64714431782719e-06, + "loss": 1.0513, + "step": 2156 + }, + { + "epoch": 0.15, + "learning_rate": 9.646737621134112e-06, + "loss": 1.0887, + "step": 2157 + }, + { + "epoch": 0.15, + "learning_rate": 9.646330698782107e-06, + "loss": 0.7148, + "step": 2158 + }, + { + "epoch": 0.15, + "learning_rate": 9.645923550790936e-06, + "loss": 0.7344, + "step": 2159 + }, + { + "epoch": 0.15, + "learning_rate": 9.64551617718037e-06, + "loss": 1.2593, + "step": 2160 + }, + { + "epoch": 0.15, + "learning_rate": 9.645108577970191e-06, + "loss": 0.6206, + "step": 2161 + }, + { + "epoch": 0.15, + "learning_rate": 9.644700753180197e-06, + "loss": 0.675, + "step": 2162 + }, + { + "epoch": 0.15, + "learning_rate": 9.644292702830189e-06, + "loss": 0.5256, + "step": 2163 + }, + { + "epoch": 0.15, + "learning_rate": 9.643884426939986e-06, + "loss": 0.663, + "step": 2164 + }, + { + "epoch": 0.15, + "learning_rate": 9.643475925529415e-06, + "loss": 0.9951, + "step": 2165 + }, + { + "epoch": 0.15, + "learning_rate": 9.643067198618312e-06, + "loss": 1.0749, + "step": 2166 + }, + { + "epoch": 0.15, + "learning_rate": 9.642658246226527e-06, + "loss": 1.0296, + "step": 2167 + }, + { + "epoch": 0.15, + "learning_rate": 9.64224906837392e-06, + "loss": 0.7895, + "step": 2168 + }, + { + "epoch": 0.15, + "learning_rate": 9.641839665080363e-06, + "loss": 1.0021, + "step": 2169 + }, + { + "epoch": 0.15, + "learning_rate": 9.641430036365738e-06, + "loss": 0.7575, + "step": 2170 + }, + { + "epoch": 0.15, + "learning_rate": 9.641020182249934e-06, + "loss": 0.9362, + "step": 2171 + }, + { + "epoch": 0.15, + "learning_rate": 9.640610102752858e-06, + "loss": 0.8566, + "step": 2172 + }, + { + "epoch": 0.15, + "learning_rate": 9.640199797894423e-06, + "loss": 0.9361, + "step": 2173 + }, + { + "epoch": 0.15, + "learning_rate": 9.639789267694557e-06, + "loss": 0.6733, + "step": 2174 + }, + { + "epoch": 0.15, + "learning_rate": 9.639378512173194e-06, + "loss": 0.9475, + "step": 2175 + }, + { + "epoch": 0.15, + "learning_rate": 9.638967531350282e-06, + "loss": 0.9251, + "step": 2176 + }, + { + "epoch": 0.15, + "learning_rate": 9.63855632524578e-06, + "loss": 0.7341, + "step": 2177 + }, + { + "epoch": 0.15, + "learning_rate": 9.638144893879657e-06, + "loss": 0.7644, + "step": 2178 + }, + { + "epoch": 0.15, + "learning_rate": 9.637733237271894e-06, + "loss": 0.8834, + "step": 2179 + }, + { + "epoch": 0.15, + "learning_rate": 9.637321355442481e-06, + "loss": 0.6666, + "step": 2180 + }, + { + "epoch": 0.15, + "learning_rate": 9.636909248411421e-06, + "loss": 0.8633, + "step": 2181 + }, + { + "epoch": 0.15, + "learning_rate": 9.636496916198728e-06, + "loss": 1.0083, + "step": 2182 + }, + { + "epoch": 0.15, + "learning_rate": 9.636084358824422e-06, + "loss": 0.774, + "step": 2183 + }, + { + "epoch": 0.15, + "learning_rate": 9.635671576308543e-06, + "loss": 0.8026, + "step": 2184 + }, + { + "epoch": 0.15, + "learning_rate": 9.635258568671135e-06, + "loss": 0.5858, + "step": 2185 + }, + { + "epoch": 0.15, + "learning_rate": 9.634845335932255e-06, + "loss": 0.9049, + "step": 2186 + }, + { + "epoch": 0.15, + "learning_rate": 9.634431878111969e-06, + "loss": 0.7214, + "step": 2187 + }, + { + "epoch": 0.15, + "learning_rate": 9.634018195230358e-06, + "loss": 0.8273, + "step": 2188 + }, + { + "epoch": 0.15, + "learning_rate": 9.633604287307509e-06, + "loss": 1.0516, + "step": 2189 + }, + { + "epoch": 0.15, + "learning_rate": 9.633190154363527e-06, + "loss": 0.8446, + "step": 2190 + }, + { + "epoch": 0.15, + "learning_rate": 9.63277579641852e-06, + "loss": 0.6359, + "step": 2191 + }, + { + "epoch": 0.15, + "learning_rate": 9.63236121349261e-06, + "loss": 0.982, + "step": 2192 + }, + { + "epoch": 0.15, + "learning_rate": 9.631946405605932e-06, + "loss": 0.8386, + "step": 2193 + }, + { + "epoch": 0.15, + "learning_rate": 9.631531372778632e-06, + "loss": 1.0731, + "step": 2194 + }, + { + "epoch": 0.15, + "learning_rate": 9.631116115030861e-06, + "loss": 0.4001, + "step": 2195 + }, + { + "epoch": 0.15, + "learning_rate": 9.630700632382787e-06, + "loss": 0.8189, + "step": 2196 + }, + { + "epoch": 0.15, + "learning_rate": 9.630284924854587e-06, + "loss": 0.6289, + "step": 2197 + }, + { + "epoch": 0.15, + "learning_rate": 9.62986899246645e-06, + "loss": 0.8328, + "step": 2198 + }, + { + "epoch": 0.15, + "learning_rate": 9.629452835238573e-06, + "loss": 0.8286, + "step": 2199 + }, + { + "epoch": 0.15, + "learning_rate": 9.629036453191167e-06, + "loss": 0.9808, + "step": 2200 + }, + { + "epoch": 0.15, + "learning_rate": 9.628619846344453e-06, + "loss": 0.8874, + "step": 2201 + }, + { + "epoch": 0.15, + "learning_rate": 9.628203014718661e-06, + "loss": 0.8481, + "step": 2202 + }, + { + "epoch": 0.15, + "learning_rate": 9.627785958334036e-06, + "loss": 0.8248, + "step": 2203 + }, + { + "epoch": 0.15, + "learning_rate": 9.627368677210828e-06, + "loss": 0.8168, + "step": 2204 + }, + { + "epoch": 0.15, + "learning_rate": 9.626951171369306e-06, + "loss": 0.6104, + "step": 2205 + }, + { + "epoch": 0.15, + "learning_rate": 9.626533440829741e-06, + "loss": 0.9311, + "step": 2206 + }, + { + "epoch": 0.15, + "learning_rate": 9.626115485612422e-06, + "loss": 1.0962, + "step": 2207 + }, + { + "epoch": 0.15, + "learning_rate": 9.625697305737645e-06, + "loss": 0.7339, + "step": 2208 + }, + { + "epoch": 0.15, + "learning_rate": 9.625278901225716e-06, + "loss": 0.7545, + "step": 2209 + }, + { + "epoch": 0.15, + "learning_rate": 9.624860272096958e-06, + "loss": 0.8225, + "step": 2210 + }, + { + "epoch": 0.15, + "learning_rate": 9.6244414183717e-06, + "loss": 0.8458, + "step": 2211 + }, + { + "epoch": 0.15, + "learning_rate": 9.624022340070279e-06, + "loss": 0.8877, + "step": 2212 + }, + { + "epoch": 0.15, + "learning_rate": 9.62360303721305e-06, + "loss": 1.014, + "step": 2213 + }, + { + "epoch": 0.15, + "learning_rate": 9.623183509820376e-06, + "loss": 0.6988, + "step": 2214 + }, + { + "epoch": 0.15, + "learning_rate": 9.622763757912627e-06, + "loss": 0.8778, + "step": 2215 + }, + { + "epoch": 0.15, + "learning_rate": 9.62234378151019e-06, + "loss": 0.5333, + "step": 2216 + }, + { + "epoch": 0.15, + "learning_rate": 9.621923580633462e-06, + "loss": 0.9959, + "step": 2217 + }, + { + "epoch": 0.15, + "learning_rate": 9.621503155302845e-06, + "loss": 1.0336, + "step": 2218 + }, + { + "epoch": 0.15, + "learning_rate": 9.621082505538757e-06, + "loss": 0.7335, + "step": 2219 + }, + { + "epoch": 0.15, + "learning_rate": 9.62066163136163e-06, + "loss": 1.0016, + "step": 2220 + }, + { + "epoch": 0.15, + "learning_rate": 9.620240532791899e-06, + "loss": 0.6315, + "step": 2221 + }, + { + "epoch": 0.15, + "learning_rate": 9.619819209850011e-06, + "loss": 0.8483, + "step": 2222 + }, + { + "epoch": 0.15, + "learning_rate": 9.619397662556434e-06, + "loss": 0.9382, + "step": 2223 + }, + { + "epoch": 0.15, + "learning_rate": 9.618975890931635e-06, + "loss": 0.8465, + "step": 2224 + }, + { + "epoch": 0.15, + "learning_rate": 9.618553894996098e-06, + "loss": 0.6843, + "step": 2225 + }, + { + "epoch": 0.15, + "learning_rate": 9.618131674770315e-06, + "loss": 1.0002, + "step": 2226 + }, + { + "epoch": 0.15, + "learning_rate": 9.61770923027479e-06, + "loss": 0.9101, + "step": 2227 + }, + { + "epoch": 0.15, + "learning_rate": 9.617286561530039e-06, + "loss": 0.6957, + "step": 2228 + }, + { + "epoch": 0.15, + "learning_rate": 9.616863668556588e-06, + "loss": 0.7444, + "step": 2229 + }, + { + "epoch": 0.15, + "learning_rate": 9.616440551374977e-06, + "loss": 0.6932, + "step": 2230 + }, + { + "epoch": 0.15, + "learning_rate": 9.616017210005747e-06, + "loss": 0.6596, + "step": 2231 + }, + { + "epoch": 0.15, + "learning_rate": 9.61559364446946e-06, + "loss": 0.5015, + "step": 2232 + }, + { + "epoch": 0.15, + "learning_rate": 9.615169854786688e-06, + "loss": 1.0436, + "step": 2233 + }, + { + "epoch": 0.15, + "learning_rate": 9.614745840978008e-06, + "loss": 0.9283, + "step": 2234 + }, + { + "epoch": 0.15, + "learning_rate": 9.614321603064014e-06, + "loss": 1.0053, + "step": 2235 + }, + { + "epoch": 0.15, + "learning_rate": 9.613897141065305e-06, + "loss": 0.7792, + "step": 2236 + }, + { + "epoch": 0.15, + "learning_rate": 9.613472455002498e-06, + "loss": 0.6907, + "step": 2237 + }, + { + "epoch": 0.15, + "learning_rate": 9.613047544896215e-06, + "loss": 0.9016, + "step": 2238 + }, + { + "epoch": 0.15, + "learning_rate": 9.612622410767088e-06, + "loss": 0.6567, + "step": 2239 + }, + { + "epoch": 0.15, + "learning_rate": 9.612197052635768e-06, + "loss": 0.9091, + "step": 2240 + }, + { + "epoch": 0.15, + "learning_rate": 9.611771470522908e-06, + "loss": 0.7488, + "step": 2241 + }, + { + "epoch": 0.15, + "learning_rate": 9.611345664449177e-06, + "loss": 0.7384, + "step": 2242 + }, + { + "epoch": 0.15, + "learning_rate": 9.610919634435252e-06, + "loss": 0.8001, + "step": 2243 + }, + { + "epoch": 0.15, + "learning_rate": 9.610493380501825e-06, + "loss": 0.8366, + "step": 2244 + }, + { + "epoch": 0.15, + "learning_rate": 9.610066902669593e-06, + "loss": 0.6159, + "step": 2245 + }, + { + "epoch": 0.15, + "learning_rate": 9.60964020095927e-06, + "loss": 0.9783, + "step": 2246 + }, + { + "epoch": 0.15, + "learning_rate": 9.609213275391573e-06, + "loss": 0.8793, + "step": 2247 + }, + { + "epoch": 0.15, + "learning_rate": 9.608786125987239e-06, + "loss": 0.7304, + "step": 2248 + }, + { + "epoch": 0.15, + "learning_rate": 9.608358752767013e-06, + "loss": 0.8228, + "step": 2249 + }, + { + "epoch": 0.15, + "learning_rate": 9.607931155751646e-06, + "loss": 0.5092, + "step": 2250 + }, + { + "epoch": 0.15, + "learning_rate": 9.607503334961904e-06, + "loss": 0.5726, + "step": 2251 + }, + { + "epoch": 0.15, + "learning_rate": 9.607075290418561e-06, + "loss": 0.8545, + "step": 2252 + }, + { + "epoch": 0.15, + "learning_rate": 9.606647022142411e-06, + "loss": 0.9464, + "step": 2253 + }, + { + "epoch": 0.15, + "learning_rate": 9.606218530154243e-06, + "loss": 1.0933, + "step": 2254 + }, + { + "epoch": 0.15, + "learning_rate": 9.605789814474873e-06, + "loss": 0.7383, + "step": 2255 + }, + { + "epoch": 0.15, + "learning_rate": 9.605360875125119e-06, + "loss": 0.6072, + "step": 2256 + }, + { + "epoch": 0.15, + "learning_rate": 9.60493171212581e-06, + "loss": 0.7293, + "step": 2257 + }, + { + "epoch": 0.15, + "learning_rate": 9.604502325497785e-06, + "loss": 0.6727, + "step": 2258 + }, + { + "epoch": 0.15, + "learning_rate": 9.604072715261902e-06, + "loss": 0.6814, + "step": 2259 + }, + { + "epoch": 0.15, + "learning_rate": 9.60364288143902e-06, + "loss": 0.9334, + "step": 2260 + }, + { + "epoch": 0.15, + "learning_rate": 9.603212824050015e-06, + "loss": 0.9657, + "step": 2261 + }, + { + "epoch": 0.15, + "learning_rate": 9.602782543115772e-06, + "loss": 0.7394, + "step": 2262 + }, + { + "epoch": 0.15, + "learning_rate": 9.602352038657183e-06, + "loss": 0.8737, + "step": 2263 + }, + { + "epoch": 0.15, + "learning_rate": 9.60192131069516e-06, + "loss": 0.6538, + "step": 2264 + }, + { + "epoch": 0.15, + "learning_rate": 9.601490359250616e-06, + "loss": 1.1493, + "step": 2265 + }, + { + "epoch": 0.15, + "learning_rate": 9.601059184344483e-06, + "loss": 0.6663, + "step": 2266 + }, + { + "epoch": 0.15, + "learning_rate": 9.600627785997696e-06, + "loss": 0.7046, + "step": 2267 + }, + { + "epoch": 0.15, + "learning_rate": 9.600196164231209e-06, + "loss": 0.9921, + "step": 2268 + }, + { + "epoch": 0.15, + "learning_rate": 9.599764319065979e-06, + "loss": 0.8555, + "step": 2269 + }, + { + "epoch": 0.15, + "learning_rate": 9.599332250522978e-06, + "loss": 0.7332, + "step": 2270 + }, + { + "epoch": 0.15, + "learning_rate": 9.598899958623192e-06, + "loss": 0.8903, + "step": 2271 + }, + { + "epoch": 0.15, + "learning_rate": 9.598467443387612e-06, + "loss": 0.6327, + "step": 2272 + }, + { + "epoch": 0.15, + "learning_rate": 9.598034704837242e-06, + "loss": 0.8601, + "step": 2273 + }, + { + "epoch": 0.15, + "learning_rate": 9.597601742993097e-06, + "loss": 0.93, + "step": 2274 + }, + { + "epoch": 0.15, + "learning_rate": 9.597168557876203e-06, + "loss": 0.8033, + "step": 2275 + }, + { + "epoch": 0.15, + "learning_rate": 9.596735149507598e-06, + "loss": 0.9036, + "step": 2276 + }, + { + "epoch": 0.15, + "learning_rate": 9.596301517908329e-06, + "loss": 0.7842, + "step": 2277 + }, + { + "epoch": 0.15, + "learning_rate": 9.595867663099454e-06, + "loss": 0.7321, + "step": 2278 + }, + { + "epoch": 0.16, + "learning_rate": 9.59543358510204e-06, + "loss": 0.8677, + "step": 2279 + }, + { + "epoch": 0.16, + "learning_rate": 9.594999283937171e-06, + "loss": 0.7803, + "step": 2280 + }, + { + "epoch": 0.16, + "learning_rate": 9.594564759625936e-06, + "loss": 0.8413, + "step": 2281 + }, + { + "epoch": 0.16, + "learning_rate": 9.594130012189438e-06, + "loss": 0.8271, + "step": 2282 + }, + { + "epoch": 0.16, + "learning_rate": 9.593695041648787e-06, + "loss": 0.6479, + "step": 2283 + }, + { + "epoch": 0.16, + "learning_rate": 9.593259848025107e-06, + "loss": 0.6197, + "step": 2284 + }, + { + "epoch": 0.16, + "learning_rate": 9.592824431339536e-06, + "loss": 0.6372, + "step": 2285 + }, + { + "epoch": 0.16, + "learning_rate": 9.592388791613215e-06, + "loss": 0.9146, + "step": 2286 + }, + { + "epoch": 0.16, + "learning_rate": 9.5919529288673e-06, + "loss": 0.8812, + "step": 2287 + }, + { + "epoch": 0.16, + "learning_rate": 9.591516843122958e-06, + "loss": 0.5007, + "step": 2288 + }, + { + "epoch": 0.16, + "learning_rate": 9.591080534401371e-06, + "loss": 0.824, + "step": 2289 + }, + { + "epoch": 0.16, + "learning_rate": 9.59064400272372e-06, + "loss": 0.8782, + "step": 2290 + }, + { + "epoch": 0.16, + "learning_rate": 9.590207248111211e-06, + "loss": 0.7401, + "step": 2291 + }, + { + "epoch": 0.16, + "learning_rate": 9.589770270585053e-06, + "loss": 0.785, + "step": 2292 + }, + { + "epoch": 0.16, + "learning_rate": 9.589333070166463e-06, + "loss": 0.8362, + "step": 2293 + }, + { + "epoch": 0.16, + "learning_rate": 9.588895646876672e-06, + "loss": 0.7095, + "step": 2294 + }, + { + "epoch": 0.16, + "learning_rate": 9.588458000736929e-06, + "loss": 0.8945, + "step": 2295 + }, + { + "epoch": 0.16, + "learning_rate": 9.588020131768482e-06, + "loss": 0.5376, + "step": 2296 + }, + { + "epoch": 0.16, + "learning_rate": 9.587582039992598e-06, + "loss": 0.6539, + "step": 2297 + }, + { + "epoch": 0.16, + "learning_rate": 9.58714372543055e-06, + "loss": 0.6431, + "step": 2298 + }, + { + "epoch": 0.16, + "learning_rate": 9.586705188103625e-06, + "loss": 0.8559, + "step": 2299 + }, + { + "epoch": 0.16, + "learning_rate": 9.58626642803312e-06, + "loss": 0.546, + "step": 2300 + }, + { + "epoch": 0.16, + "learning_rate": 9.58582744524034e-06, + "loss": 0.8747, + "step": 2301 + }, + { + "epoch": 0.16, + "learning_rate": 9.585388239746606e-06, + "loss": 0.8975, + "step": 2302 + }, + { + "epoch": 0.16, + "learning_rate": 9.584948811573246e-06, + "loss": 0.8522, + "step": 2303 + }, + { + "epoch": 0.16, + "learning_rate": 9.584509160741599e-06, + "loss": 0.4743, + "step": 2304 + }, + { + "epoch": 0.16, + "learning_rate": 9.584069287273019e-06, + "loss": 0.8368, + "step": 2305 + }, + { + "epoch": 0.16, + "learning_rate": 9.583629191188864e-06, + "loss": 0.9226, + "step": 2306 + }, + { + "epoch": 0.16, + "learning_rate": 9.583188872510508e-06, + "loss": 0.6596, + "step": 2307 + }, + { + "epoch": 0.16, + "learning_rate": 9.582748331259333e-06, + "loss": 0.7426, + "step": 2308 + }, + { + "epoch": 0.16, + "learning_rate": 9.582307567456732e-06, + "loss": 0.6021, + "step": 2309 + }, + { + "epoch": 0.16, + "learning_rate": 9.581866581124114e-06, + "loss": 0.7856, + "step": 2310 + }, + { + "epoch": 0.16, + "learning_rate": 9.58142537228289e-06, + "loss": 0.8655, + "step": 2311 + }, + { + "epoch": 0.16, + "learning_rate": 9.58098394095449e-06, + "loss": 0.5982, + "step": 2312 + }, + { + "epoch": 0.16, + "learning_rate": 9.580542287160348e-06, + "loss": 0.6816, + "step": 2313 + }, + { + "epoch": 0.16, + "learning_rate": 9.580100410921915e-06, + "loss": 0.8468, + "step": 2314 + }, + { + "epoch": 0.16, + "learning_rate": 9.579658312260648e-06, + "loss": 0.9371, + "step": 2315 + }, + { + "epoch": 0.16, + "learning_rate": 9.579215991198017e-06, + "loss": 0.7966, + "step": 2316 + }, + { + "epoch": 0.16, + "learning_rate": 9.5787734477555e-06, + "loss": 1.1634, + "step": 2317 + }, + { + "epoch": 0.16, + "learning_rate": 9.578330681954593e-06, + "loss": 0.5521, + "step": 2318 + }, + { + "epoch": 0.16, + "learning_rate": 9.577887693816794e-06, + "loss": 0.8526, + "step": 2319 + }, + { + "epoch": 0.16, + "learning_rate": 9.577444483363618e-06, + "loss": 0.9552, + "step": 2320 + }, + { + "epoch": 0.16, + "learning_rate": 9.577001050616588e-06, + "loss": 0.6664, + "step": 2321 + }, + { + "epoch": 0.16, + "learning_rate": 9.576557395597237e-06, + "loss": 0.7603, + "step": 2322 + }, + { + "epoch": 0.16, + "learning_rate": 9.57611351832711e-06, + "loss": 0.964, + "step": 2323 + }, + { + "epoch": 0.16, + "learning_rate": 9.575669418827766e-06, + "loss": 0.9588, + "step": 2324 + }, + { + "epoch": 0.16, + "learning_rate": 9.57522509712077e-06, + "loss": 0.8784, + "step": 2325 + }, + { + "epoch": 0.16, + "learning_rate": 9.5747805532277e-06, + "loss": 0.8402, + "step": 2326 + }, + { + "epoch": 0.16, + "learning_rate": 9.574335787170144e-06, + "loss": 0.8797, + "step": 2327 + }, + { + "epoch": 0.16, + "learning_rate": 9.5738907989697e-06, + "loss": 0.7637, + "step": 2328 + }, + { + "epoch": 0.16, + "learning_rate": 9.573445588647978e-06, + "loss": 0.8396, + "step": 2329 + }, + { + "epoch": 0.16, + "learning_rate": 9.5730001562266e-06, + "loss": 0.9433, + "step": 2330 + }, + { + "epoch": 0.16, + "learning_rate": 9.572554501727198e-06, + "loss": 0.7922, + "step": 2331 + }, + { + "epoch": 0.16, + "learning_rate": 9.572108625171413e-06, + "loss": 0.976, + "step": 2332 + }, + { + "epoch": 0.16, + "learning_rate": 9.571662526580898e-06, + "loss": 0.6321, + "step": 2333 + }, + { + "epoch": 0.16, + "learning_rate": 9.571216205977316e-06, + "loss": 0.6745, + "step": 2334 + }, + { + "epoch": 0.16, + "learning_rate": 9.570769663382344e-06, + "loss": 1.0895, + "step": 2335 + }, + { + "epoch": 0.16, + "learning_rate": 9.570322898817668e-06, + "loss": 0.5317, + "step": 2336 + }, + { + "epoch": 0.16, + "learning_rate": 9.56987591230498e-06, + "loss": 0.761, + "step": 2337 + }, + { + "epoch": 0.16, + "learning_rate": 9.56942870386599e-06, + "loss": 1.0483, + "step": 2338 + }, + { + "epoch": 0.16, + "learning_rate": 9.568981273522415e-06, + "loss": 1.0582, + "step": 2339 + }, + { + "epoch": 0.16, + "learning_rate": 9.568533621295982e-06, + "loss": 0.7035, + "step": 2340 + }, + { + "epoch": 0.16, + "learning_rate": 9.568085747208434e-06, + "loss": 0.8647, + "step": 2341 + }, + { + "epoch": 0.16, + "learning_rate": 9.567637651281516e-06, + "loss": 0.6508, + "step": 2342 + }, + { + "epoch": 0.16, + "learning_rate": 9.567189333536994e-06, + "loss": 0.7264, + "step": 2343 + }, + { + "epoch": 0.16, + "learning_rate": 9.566740793996637e-06, + "loss": 0.6043, + "step": 2344 + }, + { + "epoch": 0.16, + "learning_rate": 9.566292032682228e-06, + "loss": 0.8341, + "step": 2345 + }, + { + "epoch": 0.16, + "learning_rate": 9.56584304961556e-06, + "loss": 0.788, + "step": 2346 + }, + { + "epoch": 0.16, + "learning_rate": 9.565393844818435e-06, + "loss": 0.707, + "step": 2347 + }, + { + "epoch": 0.16, + "learning_rate": 9.56494441831267e-06, + "loss": 0.6969, + "step": 2348 + }, + { + "epoch": 0.16, + "learning_rate": 9.564494770120089e-06, + "loss": 0.7756, + "step": 2349 + }, + { + "epoch": 0.16, + "learning_rate": 9.56404490026253e-06, + "loss": 0.748, + "step": 2350 + }, + { + "epoch": 0.16, + "learning_rate": 9.56359480876184e-06, + "loss": 0.8113, + "step": 2351 + }, + { + "epoch": 0.16, + "learning_rate": 9.563144495639874e-06, + "loss": 0.8867, + "step": 2352 + }, + { + "epoch": 0.16, + "learning_rate": 9.562693960918504e-06, + "loss": 0.5524, + "step": 2353 + }, + { + "epoch": 0.16, + "learning_rate": 9.562243204619606e-06, + "loss": 0.956, + "step": 2354 + }, + { + "epoch": 0.16, + "learning_rate": 9.561792226765072e-06, + "loss": 0.6632, + "step": 2355 + }, + { + "epoch": 0.16, + "learning_rate": 9.561341027376801e-06, + "loss": 0.6599, + "step": 2356 + }, + { + "epoch": 0.16, + "learning_rate": 9.560889606476708e-06, + "loss": 0.8867, + "step": 2357 + }, + { + "epoch": 0.16, + "learning_rate": 9.560437964086713e-06, + "loss": 0.851, + "step": 2358 + }, + { + "epoch": 0.16, + "learning_rate": 9.559986100228746e-06, + "loss": 0.8536, + "step": 2359 + }, + { + "epoch": 0.16, + "learning_rate": 9.559534014924756e-06, + "loss": 0.8492, + "step": 2360 + }, + { + "epoch": 0.16, + "learning_rate": 9.559081708196696e-06, + "loss": 0.7411, + "step": 2361 + }, + { + "epoch": 0.16, + "learning_rate": 9.558629180066531e-06, + "loss": 0.9065, + "step": 2362 + }, + { + "epoch": 0.16, + "learning_rate": 9.558176430556236e-06, + "loss": 0.8648, + "step": 2363 + }, + { + "epoch": 0.16, + "learning_rate": 9.5577234596878e-06, + "loss": 0.8455, + "step": 2364 + }, + { + "epoch": 0.16, + "learning_rate": 9.557270267483219e-06, + "loss": 0.976, + "step": 2365 + }, + { + "epoch": 0.16, + "learning_rate": 9.556816853964501e-06, + "loss": 0.7399, + "step": 2366 + }, + { + "epoch": 0.16, + "learning_rate": 9.556363219153664e-06, + "loss": 0.9195, + "step": 2367 + }, + { + "epoch": 0.16, + "learning_rate": 9.555909363072742e-06, + "loss": 0.7409, + "step": 2368 + }, + { + "epoch": 0.16, + "learning_rate": 9.555455285743772e-06, + "loss": 0.6713, + "step": 2369 + }, + { + "epoch": 0.16, + "learning_rate": 9.555000987188806e-06, + "loss": 0.8382, + "step": 2370 + }, + { + "epoch": 0.16, + "learning_rate": 9.554546467429906e-06, + "loss": 1.0834, + "step": 2371 + }, + { + "epoch": 0.16, + "learning_rate": 9.554091726489147e-06, + "loss": 0.7917, + "step": 2372 + }, + { + "epoch": 0.16, + "learning_rate": 9.55363676438861e-06, + "loss": 0.6911, + "step": 2373 + }, + { + "epoch": 0.16, + "learning_rate": 9.553181581150391e-06, + "loss": 0.7031, + "step": 2374 + }, + { + "epoch": 0.16, + "learning_rate": 9.552726176796591e-06, + "loss": 0.7382, + "step": 2375 + }, + { + "epoch": 0.16, + "learning_rate": 9.55227055134933e-06, + "loss": 0.9283, + "step": 2376 + }, + { + "epoch": 0.16, + "learning_rate": 9.551814704830734e-06, + "loss": 0.7419, + "step": 2377 + }, + { + "epoch": 0.16, + "learning_rate": 9.551358637262939e-06, + "loss": 0.6213, + "step": 2378 + }, + { + "epoch": 0.16, + "learning_rate": 9.550902348668093e-06, + "loss": 0.5296, + "step": 2379 + }, + { + "epoch": 0.16, + "learning_rate": 9.550445839068356e-06, + "loss": 0.9224, + "step": 2380 + }, + { + "epoch": 0.16, + "learning_rate": 9.549989108485896e-06, + "loss": 0.8277, + "step": 2381 + }, + { + "epoch": 0.16, + "learning_rate": 9.549532156942894e-06, + "loss": 0.7746, + "step": 2382 + }, + { + "epoch": 0.16, + "learning_rate": 9.549074984461538e-06, + "loss": 0.8867, + "step": 2383 + }, + { + "epoch": 0.16, + "learning_rate": 9.548617591064034e-06, + "loss": 0.9181, + "step": 2384 + }, + { + "epoch": 0.16, + "learning_rate": 9.548159976772593e-06, + "loss": 0.7418, + "step": 2385 + }, + { + "epoch": 0.16, + "learning_rate": 9.547702141609437e-06, + "loss": 0.8159, + "step": 2386 + }, + { + "epoch": 0.16, + "learning_rate": 9.5472440855968e-06, + "loss": 0.7179, + "step": 2387 + }, + { + "epoch": 0.16, + "learning_rate": 9.546785808756926e-06, + "loss": 0.95, + "step": 2388 + }, + { + "epoch": 0.16, + "learning_rate": 9.546327311112072e-06, + "loss": 1.0373, + "step": 2389 + }, + { + "epoch": 0.16, + "learning_rate": 9.545868592684503e-06, + "loss": 0.8898, + "step": 2390 + }, + { + "epoch": 0.16, + "learning_rate": 9.545409653496496e-06, + "loss": 0.8563, + "step": 2391 + }, + { + "epoch": 0.16, + "learning_rate": 9.544950493570338e-06, + "loss": 0.7657, + "step": 2392 + }, + { + "epoch": 0.16, + "learning_rate": 9.544491112928327e-06, + "loss": 0.573, + "step": 2393 + }, + { + "epoch": 0.16, + "learning_rate": 9.544031511592772e-06, + "loss": 0.8059, + "step": 2394 + }, + { + "epoch": 0.16, + "learning_rate": 9.543571689585992e-06, + "loss": 0.8501, + "step": 2395 + }, + { + "epoch": 0.16, + "learning_rate": 9.54311164693032e-06, + "loss": 0.7127, + "step": 2396 + }, + { + "epoch": 0.16, + "learning_rate": 9.542651383648092e-06, + "loss": 0.5784, + "step": 2397 + }, + { + "epoch": 0.16, + "learning_rate": 9.542190899761664e-06, + "loss": 0.5711, + "step": 2398 + }, + { + "epoch": 0.16, + "learning_rate": 9.541730195293398e-06, + "loss": 0.8784, + "step": 2399 + }, + { + "epoch": 0.16, + "learning_rate": 9.541269270265665e-06, + "loss": 0.8089, + "step": 2400 + }, + { + "epoch": 0.16, + "learning_rate": 9.540808124700848e-06, + "loss": 0.8645, + "step": 2401 + }, + { + "epoch": 0.16, + "learning_rate": 9.540346758621347e-06, + "loss": 0.7983, + "step": 2402 + }, + { + "epoch": 0.16, + "learning_rate": 9.539885172049563e-06, + "loss": 0.8245, + "step": 2403 + }, + { + "epoch": 0.16, + "learning_rate": 9.539423365007912e-06, + "loss": 0.7089, + "step": 2404 + }, + { + "epoch": 0.16, + "learning_rate": 9.538961337518822e-06, + "loss": 1.0679, + "step": 2405 + }, + { + "epoch": 0.16, + "learning_rate": 9.53849908960473e-06, + "loss": 0.774, + "step": 2406 + }, + { + "epoch": 0.16, + "learning_rate": 9.538036621288083e-06, + "loss": 0.6402, + "step": 2407 + }, + { + "epoch": 0.16, + "learning_rate": 9.537573932591341e-06, + "loss": 1.015, + "step": 2408 + }, + { + "epoch": 0.16, + "learning_rate": 9.537111023536973e-06, + "loss": 0.7428, + "step": 2409 + }, + { + "epoch": 0.16, + "learning_rate": 9.53664789414746e-06, + "loss": 0.8781, + "step": 2410 + }, + { + "epoch": 0.16, + "learning_rate": 9.536184544445292e-06, + "loss": 0.7183, + "step": 2411 + }, + { + "epoch": 0.16, + "learning_rate": 9.535720974452973e-06, + "loss": 0.7516, + "step": 2412 + }, + { + "epoch": 0.16, + "learning_rate": 9.53525718419301e-06, + "loss": 1.0253, + "step": 2413 + }, + { + "epoch": 0.16, + "learning_rate": 9.53479317368793e-06, + "loss": 0.8616, + "step": 2414 + }, + { + "epoch": 0.16, + "learning_rate": 9.534328942960267e-06, + "loss": 0.726, + "step": 2415 + }, + { + "epoch": 0.16, + "learning_rate": 9.533864492032562e-06, + "loss": 0.8727, + "step": 2416 + }, + { + "epoch": 0.16, + "learning_rate": 9.533399820927375e-06, + "loss": 0.7669, + "step": 2417 + }, + { + "epoch": 0.16, + "learning_rate": 9.532934929667269e-06, + "loss": 0.8207, + "step": 2418 + }, + { + "epoch": 0.16, + "learning_rate": 9.53246981827482e-06, + "loss": 1.2203, + "step": 2419 + }, + { + "epoch": 0.16, + "learning_rate": 9.532004486772612e-06, + "loss": 0.9208, + "step": 2420 + }, + { + "epoch": 0.16, + "learning_rate": 9.531538935183252e-06, + "loss": 1.0153, + "step": 2421 + }, + { + "epoch": 0.16, + "learning_rate": 9.531073163529338e-06, + "loss": 0.8848, + "step": 2422 + }, + { + "epoch": 0.16, + "learning_rate": 9.530607171833499e-06, + "loss": 0.781, + "step": 2423 + }, + { + "epoch": 0.16, + "learning_rate": 9.530140960118358e-06, + "loss": 0.5688, + "step": 2424 + }, + { + "epoch": 0.16, + "learning_rate": 9.529674528406556e-06, + "loss": 0.7238, + "step": 2425 + }, + { + "epoch": 0.17, + "learning_rate": 9.529207876720747e-06, + "loss": 0.675, + "step": 2426 + }, + { + "epoch": 0.17, + "learning_rate": 9.528741005083593e-06, + "loss": 0.9103, + "step": 2427 + }, + { + "epoch": 0.17, + "learning_rate": 9.528273913517765e-06, + "loss": 0.6439, + "step": 2428 + }, + { + "epoch": 0.17, + "learning_rate": 9.527806602045947e-06, + "loss": 0.8617, + "step": 2429 + }, + { + "epoch": 0.17, + "learning_rate": 9.527339070690833e-06, + "loss": 0.7708, + "step": 2430 + }, + { + "epoch": 0.17, + "learning_rate": 9.526871319475128e-06, + "loss": 0.7768, + "step": 2431 + }, + { + "epoch": 0.17, + "learning_rate": 9.526403348421545e-06, + "loss": 0.7891, + "step": 2432 + }, + { + "epoch": 0.17, + "learning_rate": 9.525935157552813e-06, + "loss": 0.8739, + "step": 2433 + }, + { + "epoch": 0.17, + "learning_rate": 9.525466746891666e-06, + "loss": 1.0838, + "step": 2434 + }, + { + "epoch": 0.17, + "learning_rate": 9.524998116460856e-06, + "loss": 1.2553, + "step": 2435 + }, + { + "epoch": 0.17, + "learning_rate": 9.524529266283136e-06, + "loss": 0.8358, + "step": 2436 + }, + { + "epoch": 0.17, + "learning_rate": 9.524060196381277e-06, + "loss": 0.5758, + "step": 2437 + }, + { + "epoch": 0.17, + "learning_rate": 9.523590906778058e-06, + "loss": 0.6736, + "step": 2438 + }, + { + "epoch": 0.17, + "learning_rate": 9.52312139749627e-06, + "loss": 0.7204, + "step": 2439 + }, + { + "epoch": 0.17, + "learning_rate": 9.522651668558713e-06, + "loss": 0.6038, + "step": 2440 + }, + { + "epoch": 0.17, + "learning_rate": 9.522181719988196e-06, + "loss": 0.9485, + "step": 2441 + }, + { + "epoch": 0.17, + "learning_rate": 9.521711551807544e-06, + "loss": 0.8341, + "step": 2442 + }, + { + "epoch": 0.17, + "learning_rate": 9.521241164039589e-06, + "loss": 0.9683, + "step": 2443 + }, + { + "epoch": 0.17, + "learning_rate": 9.520770556707177e-06, + "loss": 0.8708, + "step": 2444 + }, + { + "epoch": 0.17, + "learning_rate": 9.520299729833157e-06, + "loss": 0.8191, + "step": 2445 + }, + { + "epoch": 0.17, + "learning_rate": 9.519828683440397e-06, + "loss": 0.5763, + "step": 2446 + }, + { + "epoch": 0.17, + "learning_rate": 9.51935741755177e-06, + "loss": 0.8571, + "step": 2447 + }, + { + "epoch": 0.17, + "learning_rate": 9.518885932190166e-06, + "loss": 0.9275, + "step": 2448 + }, + { + "epoch": 0.17, + "learning_rate": 9.518414227378477e-06, + "loss": 0.6166, + "step": 2449 + }, + { + "epoch": 0.17, + "learning_rate": 9.517942303139613e-06, + "loss": 0.9487, + "step": 2450 + }, + { + "epoch": 0.17, + "learning_rate": 9.517470159496492e-06, + "loss": 0.8894, + "step": 2451 + }, + { + "epoch": 0.17, + "learning_rate": 9.51699779647204e-06, + "loss": 0.8882, + "step": 2452 + }, + { + "epoch": 0.17, + "learning_rate": 9.516525214089202e-06, + "loss": 0.6095, + "step": 2453 + }, + { + "epoch": 0.17, + "learning_rate": 9.516052412370922e-06, + "loss": 0.8058, + "step": 2454 + }, + { + "epoch": 0.17, + "learning_rate": 9.515579391340164e-06, + "loss": 0.8478, + "step": 2455 + }, + { + "epoch": 0.17, + "learning_rate": 9.515106151019899e-06, + "loss": 0.8558, + "step": 2456 + }, + { + "epoch": 0.17, + "learning_rate": 9.514632691433108e-06, + "loss": 0.7545, + "step": 2457 + }, + { + "epoch": 0.17, + "learning_rate": 9.514159012602782e-06, + "loss": 0.8396, + "step": 2458 + }, + { + "epoch": 0.17, + "learning_rate": 9.513685114551927e-06, + "loss": 0.8093, + "step": 2459 + }, + { + "epoch": 0.17, + "learning_rate": 9.513210997303556e-06, + "loss": 0.9765, + "step": 2460 + }, + { + "epoch": 0.17, + "learning_rate": 9.512736660880694e-06, + "loss": 0.9535, + "step": 2461 + }, + { + "epoch": 0.17, + "learning_rate": 9.512262105306375e-06, + "loss": 0.7488, + "step": 2462 + }, + { + "epoch": 0.17, + "learning_rate": 9.511787330603645e-06, + "loss": 0.9891, + "step": 2463 + }, + { + "epoch": 0.17, + "learning_rate": 9.511312336795561e-06, + "loss": 0.726, + "step": 2464 + }, + { + "epoch": 0.17, + "learning_rate": 9.51083712390519e-06, + "loss": 1.0289, + "step": 2465 + }, + { + "epoch": 0.17, + "learning_rate": 9.510361691955607e-06, + "loss": 0.6172, + "step": 2466 + }, + { + "epoch": 0.17, + "learning_rate": 9.509886040969906e-06, + "loss": 0.7694, + "step": 2467 + }, + { + "epoch": 0.17, + "learning_rate": 9.509410170971181e-06, + "loss": 0.5229, + "step": 2468 + }, + { + "epoch": 0.17, + "learning_rate": 9.508934081982545e-06, + "loss": 0.7545, + "step": 2469 + }, + { + "epoch": 0.17, + "learning_rate": 9.508457774027116e-06, + "loss": 0.862, + "step": 2470 + }, + { + "epoch": 0.17, + "learning_rate": 9.507981247128024e-06, + "loss": 0.8689, + "step": 2471 + }, + { + "epoch": 0.17, + "learning_rate": 9.507504501308412e-06, + "loss": 0.921, + "step": 2472 + }, + { + "epoch": 0.17, + "learning_rate": 9.507027536591436e-06, + "loss": 0.7683, + "step": 2473 + }, + { + "epoch": 0.17, + "learning_rate": 9.50655035300025e-06, + "loss": 0.8711, + "step": 2474 + }, + { + "epoch": 0.17, + "learning_rate": 9.506072950558036e-06, + "loss": 0.81, + "step": 2475 + }, + { + "epoch": 0.17, + "learning_rate": 9.505595329287974e-06, + "loss": 0.6473, + "step": 2476 + }, + { + "epoch": 0.17, + "learning_rate": 9.505117489213257e-06, + "loss": 0.5947, + "step": 2477 + }, + { + "epoch": 0.17, + "learning_rate": 9.504639430357092e-06, + "loss": 0.7956, + "step": 2478 + }, + { + "epoch": 0.17, + "learning_rate": 9.504161152742696e-06, + "loss": 0.7342, + "step": 2479 + }, + { + "epoch": 0.17, + "learning_rate": 9.503682656393298e-06, + "loss": 0.8283, + "step": 2480 + }, + { + "epoch": 0.17, + "learning_rate": 9.503203941332128e-06, + "loss": 0.6005, + "step": 2481 + }, + { + "epoch": 0.17, + "learning_rate": 9.502725007582439e-06, + "loss": 0.8501, + "step": 2482 + }, + { + "epoch": 0.17, + "learning_rate": 9.50224585516749e-06, + "loss": 0.7279, + "step": 2483 + }, + { + "epoch": 0.17, + "learning_rate": 9.501766484110546e-06, + "loss": 0.8462, + "step": 2484 + }, + { + "epoch": 0.17, + "learning_rate": 9.50128689443489e-06, + "loss": 0.9358, + "step": 2485 + }, + { + "epoch": 0.17, + "learning_rate": 9.500807086163808e-06, + "loss": 0.8313, + "step": 2486 + }, + { + "epoch": 0.17, + "learning_rate": 9.500327059320606e-06, + "loss": 0.518, + "step": 2487 + }, + { + "epoch": 0.17, + "learning_rate": 9.499846813928595e-06, + "loss": 1.003, + "step": 2488 + }, + { + "epoch": 0.17, + "learning_rate": 9.499366350011093e-06, + "loss": 0.8532, + "step": 2489 + }, + { + "epoch": 0.17, + "learning_rate": 9.498885667591435e-06, + "loss": 0.6634, + "step": 2490 + }, + { + "epoch": 0.17, + "learning_rate": 9.498404766692966e-06, + "loss": 0.925, + "step": 2491 + }, + { + "epoch": 0.17, + "learning_rate": 9.497923647339039e-06, + "loss": 0.5769, + "step": 2492 + }, + { + "epoch": 0.17, + "learning_rate": 9.497442309553017e-06, + "loss": 0.7874, + "step": 2493 + }, + { + "epoch": 0.17, + "learning_rate": 9.496960753358276e-06, + "loss": 0.8712, + "step": 2494 + }, + { + "epoch": 0.17, + "learning_rate": 9.496478978778202e-06, + "loss": 0.8834, + "step": 2495 + }, + { + "epoch": 0.17, + "learning_rate": 9.495996985836192e-06, + "loss": 0.5367, + "step": 2496 + }, + { + "epoch": 0.17, + "learning_rate": 9.495514774555649e-06, + "loss": 0.8405, + "step": 2497 + }, + { + "epoch": 0.17, + "learning_rate": 9.495032344959998e-06, + "loss": 0.827, + "step": 2498 + }, + { + "epoch": 0.17, + "learning_rate": 9.494549697072662e-06, + "loss": 0.7163, + "step": 2499 + }, + { + "epoch": 0.17, + "learning_rate": 9.49406683091708e-06, + "loss": 0.8267, + "step": 2500 + }, + { + "epoch": 0.17, + "learning_rate": 9.4935837465167e-06, + "loss": 0.7316, + "step": 2501 + }, + { + "epoch": 0.17, + "learning_rate": 9.493100443894986e-06, + "loss": 0.867, + "step": 2502 + }, + { + "epoch": 0.17, + "learning_rate": 9.492616923075406e-06, + "loss": 1.0404, + "step": 2503 + }, + { + "epoch": 0.17, + "learning_rate": 9.492133184081442e-06, + "loss": 0.6566, + "step": 2504 + }, + { + "epoch": 0.17, + "learning_rate": 9.491649226936586e-06, + "loss": 0.8961, + "step": 2505 + }, + { + "epoch": 0.17, + "learning_rate": 9.49116505166434e-06, + "loss": 0.745, + "step": 2506 + }, + { + "epoch": 0.17, + "learning_rate": 9.490680658288215e-06, + "loss": 0.9568, + "step": 2507 + }, + { + "epoch": 0.17, + "learning_rate": 9.490196046831739e-06, + "loss": 0.4623, + "step": 2508 + }, + { + "epoch": 0.17, + "learning_rate": 9.48971121731844e-06, + "loss": 0.7939, + "step": 2509 + }, + { + "epoch": 0.17, + "learning_rate": 9.48922616977187e-06, + "loss": 0.7963, + "step": 2510 + }, + { + "epoch": 0.17, + "learning_rate": 9.488740904215578e-06, + "loss": 0.8743, + "step": 2511 + }, + { + "epoch": 0.17, + "learning_rate": 9.488255420673134e-06, + "loss": 0.6966, + "step": 2512 + }, + { + "epoch": 0.17, + "learning_rate": 9.487769719168112e-06, + "loss": 1.0448, + "step": 2513 + }, + { + "epoch": 0.17, + "learning_rate": 9.487283799724099e-06, + "loss": 0.6168, + "step": 2514 + }, + { + "epoch": 0.17, + "learning_rate": 9.486797662364695e-06, + "loss": 1.1269, + "step": 2515 + }, + { + "epoch": 0.17, + "learning_rate": 9.486311307113506e-06, + "loss": 0.7744, + "step": 2516 + }, + { + "epoch": 0.17, + "learning_rate": 9.485824733994151e-06, + "loss": 0.7958, + "step": 2517 + }, + { + "epoch": 0.17, + "learning_rate": 9.48533794303026e-06, + "loss": 0.6859, + "step": 2518 + }, + { + "epoch": 0.17, + "learning_rate": 9.484850934245475e-06, + "loss": 0.7583, + "step": 2519 + }, + { + "epoch": 0.17, + "learning_rate": 9.484363707663443e-06, + "loss": 0.5743, + "step": 2520 + }, + { + "epoch": 0.17, + "learning_rate": 9.483876263307825e-06, + "loss": 0.8673, + "step": 2521 + }, + { + "epoch": 0.17, + "learning_rate": 9.483388601202297e-06, + "loss": 0.6952, + "step": 2522 + }, + { + "epoch": 0.17, + "learning_rate": 9.482900721370538e-06, + "loss": 0.8304, + "step": 2523 + }, + { + "epoch": 0.17, + "learning_rate": 9.48241262383624e-06, + "loss": 0.7431, + "step": 2524 + }, + { + "epoch": 0.17, + "learning_rate": 9.481924308623109e-06, + "loss": 0.9559, + "step": 2525 + }, + { + "epoch": 0.17, + "learning_rate": 9.481435775754857e-06, + "loss": 0.7291, + "step": 2526 + }, + { + "epoch": 0.17, + "learning_rate": 9.48094702525521e-06, + "loss": 0.8859, + "step": 2527 + }, + { + "epoch": 0.17, + "learning_rate": 9.480458057147904e-06, + "loss": 0.963, + "step": 2528 + }, + { + "epoch": 0.17, + "learning_rate": 9.47996887145668e-06, + "loss": 0.6549, + "step": 2529 + }, + { + "epoch": 0.17, + "learning_rate": 9.479479468205299e-06, + "loss": 0.9697, + "step": 2530 + }, + { + "epoch": 0.17, + "learning_rate": 9.478989847417526e-06, + "loss": 0.8505, + "step": 2531 + }, + { + "epoch": 0.17, + "learning_rate": 9.47850000911714e-06, + "loss": 0.897, + "step": 2532 + }, + { + "epoch": 0.17, + "learning_rate": 9.478009953327928e-06, + "loss": 0.8862, + "step": 2533 + }, + { + "epoch": 0.17, + "learning_rate": 9.477519680073686e-06, + "loss": 0.7437, + "step": 2534 + }, + { + "epoch": 0.17, + "learning_rate": 9.477029189378226e-06, + "loss": 0.8351, + "step": 2535 + }, + { + "epoch": 0.17, + "learning_rate": 9.476538481265366e-06, + "loss": 0.7378, + "step": 2536 + }, + { + "epoch": 0.17, + "learning_rate": 9.476047555758938e-06, + "loss": 0.8533, + "step": 2537 + }, + { + "epoch": 0.17, + "learning_rate": 9.475556412882782e-06, + "loss": 1.2686, + "step": 2538 + }, + { + "epoch": 0.17, + "learning_rate": 9.47506505266075e-06, + "loss": 0.9708, + "step": 2539 + }, + { + "epoch": 0.17, + "learning_rate": 9.474573475116701e-06, + "loss": 0.6693, + "step": 2540 + }, + { + "epoch": 0.17, + "learning_rate": 9.47408168027451e-06, + "loss": 0.7698, + "step": 2541 + }, + { + "epoch": 0.17, + "learning_rate": 9.473589668158061e-06, + "loss": 0.9527, + "step": 2542 + }, + { + "epoch": 0.17, + "learning_rate": 9.473097438791243e-06, + "loss": 0.8488, + "step": 2543 + }, + { + "epoch": 0.17, + "learning_rate": 9.472604992197966e-06, + "loss": 0.7062, + "step": 2544 + }, + { + "epoch": 0.17, + "learning_rate": 9.47211232840214e-06, + "loss": 0.7764, + "step": 2545 + }, + { + "epoch": 0.17, + "learning_rate": 9.471619447427692e-06, + "loss": 0.7498, + "step": 2546 + }, + { + "epoch": 0.17, + "learning_rate": 9.471126349298557e-06, + "loss": 0.9579, + "step": 2547 + }, + { + "epoch": 0.17, + "learning_rate": 9.470633034038684e-06, + "loss": 0.899, + "step": 2548 + }, + { + "epoch": 0.17, + "learning_rate": 9.470139501672025e-06, + "loss": 0.9694, + "step": 2549 + }, + { + "epoch": 0.17, + "learning_rate": 9.46964575222255e-06, + "loss": 0.8154, + "step": 2550 + }, + { + "epoch": 0.17, + "learning_rate": 9.469151785714237e-06, + "loss": 0.7263, + "step": 2551 + }, + { + "epoch": 0.17, + "learning_rate": 9.468657602171076e-06, + "loss": 0.7917, + "step": 2552 + }, + { + "epoch": 0.17, + "learning_rate": 9.468163201617063e-06, + "loss": 0.9135, + "step": 2553 + }, + { + "epoch": 0.17, + "learning_rate": 9.467668584076209e-06, + "loss": 0.5649, + "step": 2554 + }, + { + "epoch": 0.17, + "learning_rate": 9.467173749572531e-06, + "loss": 0.9238, + "step": 2555 + }, + { + "epoch": 0.17, + "learning_rate": 9.466678698130064e-06, + "loss": 0.9009, + "step": 2556 + }, + { + "epoch": 0.17, + "learning_rate": 9.46618342977285e-06, + "loss": 0.5382, + "step": 2557 + }, + { + "epoch": 0.17, + "learning_rate": 9.465687944524936e-06, + "loss": 0.9724, + "step": 2558 + }, + { + "epoch": 0.17, + "learning_rate": 9.465192242410388e-06, + "loss": 0.7862, + "step": 2559 + }, + { + "epoch": 0.17, + "learning_rate": 9.464696323453275e-06, + "loss": 0.7156, + "step": 2560 + }, + { + "epoch": 0.17, + "learning_rate": 9.464200187677683e-06, + "loss": 0.8531, + "step": 2561 + }, + { + "epoch": 0.17, + "learning_rate": 9.463703835107705e-06, + "loss": 0.8603, + "step": 2562 + }, + { + "epoch": 0.17, + "learning_rate": 9.463207265767445e-06, + "loss": 0.7608, + "step": 2563 + }, + { + "epoch": 0.17, + "learning_rate": 9.462710479681018e-06, + "loss": 1.0955, + "step": 2564 + }, + { + "epoch": 0.17, + "learning_rate": 9.46221347687255e-06, + "loss": 0.9745, + "step": 2565 + }, + { + "epoch": 0.17, + "learning_rate": 9.461716257366175e-06, + "loss": 0.8272, + "step": 2566 + }, + { + "epoch": 0.17, + "learning_rate": 9.461218821186045e-06, + "loss": 0.5443, + "step": 2567 + }, + { + "epoch": 0.17, + "learning_rate": 9.460721168356309e-06, + "loss": 0.5762, + "step": 2568 + }, + { + "epoch": 0.17, + "learning_rate": 9.460223298901138e-06, + "loss": 0.9945, + "step": 2569 + }, + { + "epoch": 0.17, + "learning_rate": 9.459725212844713e-06, + "loss": 0.6908, + "step": 2570 + }, + { + "epoch": 0.17, + "learning_rate": 9.459226910211219e-06, + "loss": 0.6355, + "step": 2571 + }, + { + "epoch": 0.17, + "learning_rate": 9.458728391024854e-06, + "loss": 1.0865, + "step": 2572 + }, + { + "epoch": 0.18, + "learning_rate": 9.45822965530983e-06, + "loss": 0.7698, + "step": 2573 + }, + { + "epoch": 0.18, + "learning_rate": 9.457730703090367e-06, + "loss": 0.6703, + "step": 2574 + }, + { + "epoch": 0.18, + "learning_rate": 9.457231534390694e-06, + "loss": 0.5709, + "step": 2575 + }, + { + "epoch": 0.18, + "learning_rate": 9.456732149235053e-06, + "loss": 0.7312, + "step": 2576 + }, + { + "epoch": 0.18, + "learning_rate": 9.456232547647695e-06, + "loss": 0.6422, + "step": 2577 + }, + { + "epoch": 0.18, + "learning_rate": 9.455732729652884e-06, + "loss": 0.7368, + "step": 2578 + }, + { + "epoch": 0.18, + "learning_rate": 9.45523269527489e-06, + "loss": 1.0639, + "step": 2579 + }, + { + "epoch": 0.18, + "learning_rate": 9.454732444537997e-06, + "loss": 0.9127, + "step": 2580 + }, + { + "epoch": 0.18, + "learning_rate": 9.454231977466499e-06, + "loss": 0.7867, + "step": 2581 + }, + { + "epoch": 0.18, + "learning_rate": 9.4537312940847e-06, + "loss": 0.8216, + "step": 2582 + }, + { + "epoch": 0.18, + "learning_rate": 9.453230394416914e-06, + "loss": 0.7111, + "step": 2583 + }, + { + "epoch": 0.18, + "learning_rate": 9.45272927848747e-06, + "loss": 0.8257, + "step": 2584 + }, + { + "epoch": 0.18, + "learning_rate": 9.452227946320697e-06, + "loss": 0.7793, + "step": 2585 + }, + { + "epoch": 0.18, + "learning_rate": 9.451726397940946e-06, + "loss": 0.711, + "step": 2586 + }, + { + "epoch": 0.18, + "learning_rate": 9.451224633372572e-06, + "loss": 0.8253, + "step": 2587 + }, + { + "epoch": 0.18, + "learning_rate": 9.45072265263994e-06, + "loss": 0.8526, + "step": 2588 + }, + { + "epoch": 0.18, + "learning_rate": 9.450220455767432e-06, + "loss": 0.9394, + "step": 2589 + }, + { + "epoch": 0.18, + "learning_rate": 9.449718042779434e-06, + "loss": 0.945, + "step": 2590 + }, + { + "epoch": 0.18, + "learning_rate": 9.449215413700345e-06, + "loss": 0.8168, + "step": 2591 + }, + { + "epoch": 0.18, + "learning_rate": 9.448712568554572e-06, + "loss": 0.9575, + "step": 2592 + }, + { + "epoch": 0.18, + "learning_rate": 9.448209507366537e-06, + "loss": 0.7682, + "step": 2593 + }, + { + "epoch": 0.18, + "learning_rate": 9.44770623016067e-06, + "loss": 0.7256, + "step": 2594 + }, + { + "epoch": 0.18, + "learning_rate": 9.447202736961411e-06, + "loss": 0.7354, + "step": 2595 + }, + { + "epoch": 0.18, + "learning_rate": 9.446699027793212e-06, + "loss": 0.9557, + "step": 2596 + }, + { + "epoch": 0.18, + "learning_rate": 9.446195102680531e-06, + "loss": 0.9033, + "step": 2597 + }, + { + "epoch": 0.18, + "learning_rate": 9.445690961647844e-06, + "loss": 1.0154, + "step": 2598 + }, + { + "epoch": 0.18, + "learning_rate": 9.445186604719632e-06, + "loss": 1.0009, + "step": 2599 + }, + { + "epoch": 0.18, + "learning_rate": 9.44468203192039e-06, + "loss": 0.8052, + "step": 2600 + }, + { + "epoch": 0.18, + "learning_rate": 9.444177243274619e-06, + "loss": 0.7981, + "step": 2601 + }, + { + "epoch": 0.18, + "learning_rate": 9.443672238806832e-06, + "loss": 0.565, + "step": 2602 + }, + { + "epoch": 0.18, + "learning_rate": 9.443167018541557e-06, + "loss": 0.6624, + "step": 2603 + }, + { + "epoch": 0.18, + "learning_rate": 9.442661582503326e-06, + "loss": 0.935, + "step": 2604 + }, + { + "epoch": 0.18, + "learning_rate": 9.442155930716686e-06, + "loss": 0.6772, + "step": 2605 + }, + { + "epoch": 0.18, + "learning_rate": 9.441650063206193e-06, + "loss": 0.6961, + "step": 2606 + }, + { + "epoch": 0.18, + "learning_rate": 9.441143979996413e-06, + "loss": 0.9192, + "step": 2607 + }, + { + "epoch": 0.18, + "learning_rate": 9.440637681111922e-06, + "loss": 0.8395, + "step": 2608 + }, + { + "epoch": 0.18, + "learning_rate": 9.440131166577309e-06, + "loss": 0.8566, + "step": 2609 + }, + { + "epoch": 0.18, + "learning_rate": 9.43962443641717e-06, + "loss": 0.657, + "step": 2610 + }, + { + "epoch": 0.18, + "learning_rate": 9.439117490656114e-06, + "loss": 0.6504, + "step": 2611 + }, + { + "epoch": 0.18, + "learning_rate": 9.43861032931876e-06, + "loss": 0.7775, + "step": 2612 + }, + { + "epoch": 0.18, + "learning_rate": 9.438102952429737e-06, + "loss": 0.546, + "step": 2613 + }, + { + "epoch": 0.18, + "learning_rate": 9.437595360013686e-06, + "loss": 0.8031, + "step": 2614 + }, + { + "epoch": 0.18, + "learning_rate": 9.437087552095254e-06, + "loss": 0.6398, + "step": 2615 + }, + { + "epoch": 0.18, + "learning_rate": 9.436579528699105e-06, + "loss": 0.7248, + "step": 2616 + }, + { + "epoch": 0.18, + "learning_rate": 9.436071289849909e-06, + "loss": 0.6136, + "step": 2617 + }, + { + "epoch": 0.18, + "learning_rate": 9.435562835572347e-06, + "loss": 0.9388, + "step": 2618 + }, + { + "epoch": 0.18, + "learning_rate": 9.43505416589111e-06, + "loss": 0.5158, + "step": 2619 + }, + { + "epoch": 0.18, + "learning_rate": 9.434545280830901e-06, + "loss": 0.8332, + "step": 2620 + }, + { + "epoch": 0.18, + "learning_rate": 9.434036180416435e-06, + "loss": 0.9185, + "step": 2621 + }, + { + "epoch": 0.18, + "learning_rate": 9.433526864672434e-06, + "loss": 0.8518, + "step": 2622 + }, + { + "epoch": 0.18, + "learning_rate": 9.43301733362363e-06, + "loss": 0.8461, + "step": 2623 + }, + { + "epoch": 0.18, + "learning_rate": 9.43250758729477e-06, + "loss": 0.7006, + "step": 2624 + }, + { + "epoch": 0.18, + "learning_rate": 9.43199762571061e-06, + "loss": 0.8689, + "step": 2625 + }, + { + "epoch": 0.18, + "learning_rate": 9.431487448895909e-06, + "loss": 0.4546, + "step": 2626 + }, + { + "epoch": 0.18, + "learning_rate": 9.430977056875449e-06, + "loss": 0.8765, + "step": 2627 + }, + { + "epoch": 0.18, + "learning_rate": 9.430466449674014e-06, + "loss": 0.9301, + "step": 2628 + }, + { + "epoch": 0.18, + "learning_rate": 9.429955627316399e-06, + "loss": 0.9162, + "step": 2629 + }, + { + "epoch": 0.18, + "learning_rate": 9.429444589827412e-06, + "loss": 0.7272, + "step": 2630 + }, + { + "epoch": 0.18, + "learning_rate": 9.428933337231872e-06, + "loss": 0.8207, + "step": 2631 + }, + { + "epoch": 0.18, + "learning_rate": 9.428421869554607e-06, + "loss": 0.5887, + "step": 2632 + }, + { + "epoch": 0.18, + "learning_rate": 9.42791018682045e-06, + "loss": 0.8268, + "step": 2633 + }, + { + "epoch": 0.18, + "learning_rate": 9.427398289054257e-06, + "loss": 0.9723, + "step": 2634 + }, + { + "epoch": 0.18, + "learning_rate": 9.426886176280883e-06, + "loss": 0.9129, + "step": 2635 + }, + { + "epoch": 0.18, + "learning_rate": 9.426373848525199e-06, + "loss": 0.9578, + "step": 2636 + }, + { + "epoch": 0.18, + "learning_rate": 9.425861305812083e-06, + "loss": 0.9186, + "step": 2637 + }, + { + "epoch": 0.18, + "learning_rate": 9.425348548166429e-06, + "loss": 0.7142, + "step": 2638 + }, + { + "epoch": 0.18, + "learning_rate": 9.424835575613136e-06, + "loss": 0.9262, + "step": 2639 + }, + { + "epoch": 0.18, + "learning_rate": 9.424322388177116e-06, + "loss": 0.6061, + "step": 2640 + }, + { + "epoch": 0.18, + "learning_rate": 9.423808985883289e-06, + "loss": 0.7818, + "step": 2641 + }, + { + "epoch": 0.18, + "learning_rate": 9.423295368756591e-06, + "loss": 0.9482, + "step": 2642 + }, + { + "epoch": 0.18, + "learning_rate": 9.42278153682196e-06, + "loss": 0.7205, + "step": 2643 + }, + { + "epoch": 0.18, + "learning_rate": 9.422267490104354e-06, + "loss": 0.6854, + "step": 2644 + }, + { + "epoch": 0.18, + "learning_rate": 9.421753228628734e-06, + "loss": 0.6331, + "step": 2645 + }, + { + "epoch": 0.18, + "learning_rate": 9.421238752420075e-06, + "loss": 1.0151, + "step": 2646 + }, + { + "epoch": 0.18, + "learning_rate": 9.420724061503359e-06, + "loss": 0.8886, + "step": 2647 + }, + { + "epoch": 0.18, + "learning_rate": 9.420209155903583e-06, + "loss": 0.6542, + "step": 2648 + }, + { + "epoch": 0.18, + "learning_rate": 9.419694035645753e-06, + "loss": 0.7863, + "step": 2649 + }, + { + "epoch": 0.18, + "learning_rate": 9.419178700754881e-06, + "loss": 1.0319, + "step": 2650 + }, + { + "epoch": 0.18, + "learning_rate": 9.418663151255997e-06, + "loss": 0.913, + "step": 2651 + }, + { + "epoch": 0.18, + "learning_rate": 9.41814738717414e-06, + "loss": 0.8091, + "step": 2652 + }, + { + "epoch": 0.18, + "learning_rate": 9.417631408534349e-06, + "loss": 0.7145, + "step": 2653 + }, + { + "epoch": 0.18, + "learning_rate": 9.417115215361687e-06, + "loss": 0.647, + "step": 2654 + }, + { + "epoch": 0.18, + "learning_rate": 9.416598807681221e-06, + "loss": 0.6161, + "step": 2655 + }, + { + "epoch": 0.18, + "learning_rate": 9.416082185518029e-06, + "loss": 0.9618, + "step": 2656 + }, + { + "epoch": 0.18, + "learning_rate": 9.415565348897199e-06, + "loss": 0.6583, + "step": 2657 + }, + { + "epoch": 0.18, + "learning_rate": 9.41504829784383e-06, + "loss": 0.8827, + "step": 2658 + }, + { + "epoch": 0.18, + "learning_rate": 9.414531032383033e-06, + "loss": 0.8581, + "step": 2659 + }, + { + "epoch": 0.18, + "learning_rate": 9.414013552539926e-06, + "loss": 0.846, + "step": 2660 + }, + { + "epoch": 0.18, + "learning_rate": 9.413495858339641e-06, + "loss": 0.8423, + "step": 2661 + }, + { + "epoch": 0.18, + "learning_rate": 9.412977949807319e-06, + "loss": 0.938, + "step": 2662 + }, + { + "epoch": 0.18, + "learning_rate": 9.412459826968109e-06, + "loss": 0.7347, + "step": 2663 + }, + { + "epoch": 0.18, + "learning_rate": 9.411941489847172e-06, + "loss": 0.8622, + "step": 2664 + }, + { + "epoch": 0.18, + "learning_rate": 9.411422938469683e-06, + "loss": 0.6162, + "step": 2665 + }, + { + "epoch": 0.18, + "learning_rate": 9.410904172860821e-06, + "loss": 1.153, + "step": 2666 + }, + { + "epoch": 0.18, + "learning_rate": 9.410385193045783e-06, + "loss": 0.7138, + "step": 2667 + }, + { + "epoch": 0.18, + "learning_rate": 9.40986599904977e-06, + "loss": 0.7475, + "step": 2668 + }, + { + "epoch": 0.18, + "learning_rate": 9.409346590897994e-06, + "loss": 0.5277, + "step": 2669 + }, + { + "epoch": 0.18, + "learning_rate": 9.40882696861568e-06, + "loss": 0.666, + "step": 2670 + }, + { + "epoch": 0.18, + "learning_rate": 9.408307132228066e-06, + "loss": 0.9104, + "step": 2671 + }, + { + "epoch": 0.18, + "learning_rate": 9.407787081760388e-06, + "loss": 0.8111, + "step": 2672 + }, + { + "epoch": 0.18, + "learning_rate": 9.40726681723791e-06, + "loss": 0.6916, + "step": 2673 + }, + { + "epoch": 0.18, + "learning_rate": 9.406746338685895e-06, + "loss": 1.0661, + "step": 2674 + }, + { + "epoch": 0.18, + "learning_rate": 9.406225646129617e-06, + "loss": 0.791, + "step": 2675 + }, + { + "epoch": 0.18, + "learning_rate": 9.405704739594361e-06, + "loss": 0.7627, + "step": 2676 + }, + { + "epoch": 0.18, + "learning_rate": 9.405183619105429e-06, + "loss": 0.9086, + "step": 2677 + }, + { + "epoch": 0.18, + "learning_rate": 9.404662284688124e-06, + "loss": 0.7631, + "step": 2678 + }, + { + "epoch": 0.18, + "learning_rate": 9.404140736367764e-06, + "loss": 0.8137, + "step": 2679 + }, + { + "epoch": 0.18, + "learning_rate": 9.403618974169679e-06, + "loss": 0.9074, + "step": 2680 + }, + { + "epoch": 0.18, + "learning_rate": 9.403096998119206e-06, + "loss": 0.7982, + "step": 2681 + }, + { + "epoch": 0.18, + "learning_rate": 9.402574808241692e-06, + "loss": 0.7565, + "step": 2682 + }, + { + "epoch": 0.18, + "learning_rate": 9.402052404562498e-06, + "loss": 0.7814, + "step": 2683 + }, + { + "epoch": 0.18, + "learning_rate": 9.401529787106993e-06, + "loss": 0.8661, + "step": 2684 + }, + { + "epoch": 0.18, + "learning_rate": 9.401006955900555e-06, + "loss": 0.8135, + "step": 2685 + }, + { + "epoch": 0.18, + "learning_rate": 9.400483910968579e-06, + "loss": 0.7413, + "step": 2686 + }, + { + "epoch": 0.18, + "learning_rate": 9.399960652336462e-06, + "loss": 0.9824, + "step": 2687 + }, + { + "epoch": 0.18, + "learning_rate": 9.399437180029614e-06, + "loss": 0.5628, + "step": 2688 + }, + { + "epoch": 0.18, + "learning_rate": 9.398913494073459e-06, + "loss": 0.5834, + "step": 2689 + }, + { + "epoch": 0.18, + "learning_rate": 9.398389594493426e-06, + "loss": 0.7108, + "step": 2690 + }, + { + "epoch": 0.18, + "learning_rate": 9.397865481314959e-06, + "loss": 0.5491, + "step": 2691 + }, + { + "epoch": 0.18, + "learning_rate": 9.39734115456351e-06, + "loss": 0.7121, + "step": 2692 + }, + { + "epoch": 0.18, + "learning_rate": 9.396816614264543e-06, + "loss": 0.7452, + "step": 2693 + }, + { + "epoch": 0.18, + "learning_rate": 9.39629186044353e-06, + "loss": 0.5167, + "step": 2694 + }, + { + "epoch": 0.18, + "learning_rate": 9.395766893125952e-06, + "loss": 0.6872, + "step": 2695 + }, + { + "epoch": 0.18, + "learning_rate": 9.395241712337307e-06, + "loss": 0.959, + "step": 2696 + }, + { + "epoch": 0.18, + "learning_rate": 9.394716318103098e-06, + "loss": 1.0495, + "step": 2697 + }, + { + "epoch": 0.18, + "learning_rate": 9.394190710448839e-06, + "loss": 0.8482, + "step": 2698 + }, + { + "epoch": 0.18, + "learning_rate": 9.393664889400056e-06, + "loss": 0.6609, + "step": 2699 + }, + { + "epoch": 0.18, + "learning_rate": 9.393138854982283e-06, + "loss": 0.6313, + "step": 2700 + }, + { + "epoch": 0.18, + "learning_rate": 9.392612607221067e-06, + "loss": 0.9621, + "step": 2701 + }, + { + "epoch": 0.18, + "learning_rate": 9.392086146141963e-06, + "loss": 0.8717, + "step": 2702 + }, + { + "epoch": 0.18, + "learning_rate": 9.391559471770537e-06, + "loss": 0.7593, + "step": 2703 + }, + { + "epoch": 0.18, + "learning_rate": 9.39103258413237e-06, + "loss": 0.8027, + "step": 2704 + }, + { + "epoch": 0.18, + "learning_rate": 9.390505483253045e-06, + "loss": 0.7727, + "step": 2705 + }, + { + "epoch": 0.18, + "learning_rate": 9.38997816915816e-06, + "loss": 0.775, + "step": 2706 + }, + { + "epoch": 0.18, + "learning_rate": 9.389450641873323e-06, + "loss": 0.6746, + "step": 2707 + }, + { + "epoch": 0.18, + "learning_rate": 9.388922901424154e-06, + "loss": 0.7136, + "step": 2708 + }, + { + "epoch": 0.18, + "learning_rate": 9.388394947836278e-06, + "loss": 0.6435, + "step": 2709 + }, + { + "epoch": 0.18, + "learning_rate": 9.38786678113534e-06, + "loss": 0.9752, + "step": 2710 + }, + { + "epoch": 0.18, + "learning_rate": 9.387338401346982e-06, + "loss": 0.6377, + "step": 2711 + }, + { + "epoch": 0.18, + "learning_rate": 9.38680980849687e-06, + "loss": 0.6925, + "step": 2712 + }, + { + "epoch": 0.18, + "learning_rate": 9.386281002610669e-06, + "loss": 1.2425, + "step": 2713 + }, + { + "epoch": 0.18, + "learning_rate": 9.385751983714061e-06, + "loss": 0.8987, + "step": 2714 + }, + { + "epoch": 0.18, + "learning_rate": 9.385222751832739e-06, + "loss": 0.8244, + "step": 2715 + }, + { + "epoch": 0.18, + "learning_rate": 9.384693306992403e-06, + "loss": 0.5636, + "step": 2716 + }, + { + "epoch": 0.18, + "learning_rate": 9.384163649218761e-06, + "loss": 0.629, + "step": 2717 + }, + { + "epoch": 0.18, + "learning_rate": 9.38363377853754e-06, + "loss": 0.8247, + "step": 2718 + }, + { + "epoch": 0.18, + "learning_rate": 9.383103694974467e-06, + "loss": 0.6832, + "step": 2719 + }, + { + "epoch": 0.19, + "learning_rate": 9.382573398555289e-06, + "loss": 0.7542, + "step": 2720 + }, + { + "epoch": 0.19, + "learning_rate": 9.382042889305754e-06, + "loss": 1.0019, + "step": 2721 + }, + { + "epoch": 0.19, + "learning_rate": 9.38151216725163e-06, + "loss": 0.7214, + "step": 2722 + }, + { + "epoch": 0.19, + "learning_rate": 9.380981232418685e-06, + "loss": 0.6922, + "step": 2723 + }, + { + "epoch": 0.19, + "learning_rate": 9.380450084832707e-06, + "loss": 0.5716, + "step": 2724 + }, + { + "epoch": 0.19, + "learning_rate": 9.379918724519488e-06, + "loss": 0.7167, + "step": 2725 + }, + { + "epoch": 0.19, + "learning_rate": 9.379387151504836e-06, + "loss": 0.633, + "step": 2726 + }, + { + "epoch": 0.19, + "learning_rate": 9.37885536581456e-06, + "loss": 0.5747, + "step": 2727 + }, + { + "epoch": 0.19, + "learning_rate": 9.378323367474488e-06, + "loss": 0.8394, + "step": 2728 + }, + { + "epoch": 0.19, + "learning_rate": 9.377791156510456e-06, + "loss": 0.8407, + "step": 2729 + }, + { + "epoch": 0.19, + "learning_rate": 9.377258732948307e-06, + "loss": 0.6724, + "step": 2730 + }, + { + "epoch": 0.19, + "learning_rate": 9.376726096813901e-06, + "loss": 0.668, + "step": 2731 + }, + { + "epoch": 0.19, + "learning_rate": 9.3761932481331e-06, + "loss": 0.6921, + "step": 2732 + }, + { + "epoch": 0.19, + "learning_rate": 9.375660186931785e-06, + "loss": 0.7545, + "step": 2733 + }, + { + "epoch": 0.19, + "learning_rate": 9.375126913235838e-06, + "loss": 0.9178, + "step": 2734 + }, + { + "epoch": 0.19, + "learning_rate": 9.374593427071163e-06, + "loss": 0.7883, + "step": 2735 + }, + { + "epoch": 0.19, + "learning_rate": 9.374059728463663e-06, + "loss": 0.6787, + "step": 2736 + }, + { + "epoch": 0.19, + "learning_rate": 9.373525817439255e-06, + "loss": 0.679, + "step": 2737 + }, + { + "epoch": 0.19, + "learning_rate": 9.372991694023869e-06, + "loss": 0.7943, + "step": 2738 + }, + { + "epoch": 0.19, + "learning_rate": 9.372457358243445e-06, + "loss": 0.9248, + "step": 2739 + }, + { + "epoch": 0.19, + "learning_rate": 9.37192281012393e-06, + "loss": 0.962, + "step": 2740 + }, + { + "epoch": 0.19, + "learning_rate": 9.371388049691283e-06, + "loss": 0.7901, + "step": 2741 + }, + { + "epoch": 0.19, + "learning_rate": 9.370853076971473e-06, + "loss": 0.6565, + "step": 2742 + }, + { + "epoch": 0.19, + "learning_rate": 9.370317891990482e-06, + "loss": 0.8431, + "step": 2743 + }, + { + "epoch": 0.19, + "learning_rate": 9.3697824947743e-06, + "loss": 0.647, + "step": 2744 + }, + { + "epoch": 0.19, + "learning_rate": 9.369246885348926e-06, + "loss": 0.8911, + "step": 2745 + }, + { + "epoch": 0.19, + "learning_rate": 9.36871106374037e-06, + "loss": 0.9159, + "step": 2746 + }, + { + "epoch": 0.19, + "learning_rate": 9.368175029974656e-06, + "loss": 0.7927, + "step": 2747 + }, + { + "epoch": 0.19, + "learning_rate": 9.367638784077814e-06, + "loss": 0.5545, + "step": 2748 + }, + { + "epoch": 0.19, + "learning_rate": 9.367102326075881e-06, + "loss": 0.9704, + "step": 2749 + }, + { + "epoch": 0.19, + "learning_rate": 9.366565655994917e-06, + "loss": 0.7449, + "step": 2750 + }, + { + "epoch": 0.19, + "learning_rate": 9.366028773860981e-06, + "loss": 0.6506, + "step": 2751 + }, + { + "epoch": 0.19, + "learning_rate": 9.365491679700143e-06, + "loss": 0.5736, + "step": 2752 + }, + { + "epoch": 0.19, + "learning_rate": 9.364954373538486e-06, + "loss": 0.9148, + "step": 2753 + }, + { + "epoch": 0.19, + "learning_rate": 9.364416855402107e-06, + "loss": 0.5983, + "step": 2754 + }, + { + "epoch": 0.19, + "learning_rate": 9.363879125317108e-06, + "loss": 0.9832, + "step": 2755 + }, + { + "epoch": 0.19, + "learning_rate": 9.363341183309601e-06, + "loss": 1.0159, + "step": 2756 + }, + { + "epoch": 0.19, + "learning_rate": 9.362803029405712e-06, + "loss": 0.7796, + "step": 2757 + }, + { + "epoch": 0.19, + "learning_rate": 9.362264663631574e-06, + "loss": 0.5515, + "step": 2758 + }, + { + "epoch": 0.19, + "learning_rate": 9.361726086013331e-06, + "loss": 0.7754, + "step": 2759 + }, + { + "epoch": 0.19, + "learning_rate": 9.361187296577142e-06, + "loss": 0.8215, + "step": 2760 + }, + { + "epoch": 0.19, + "learning_rate": 9.360648295349165e-06, + "loss": 0.91, + "step": 2761 + }, + { + "epoch": 0.19, + "learning_rate": 9.360109082355582e-06, + "loss": 0.9807, + "step": 2762 + }, + { + "epoch": 0.19, + "learning_rate": 9.359569657622573e-06, + "loss": 0.9504, + "step": 2763 + }, + { + "epoch": 0.19, + "learning_rate": 9.35903002117634e-06, + "loss": 0.6805, + "step": 2764 + }, + { + "epoch": 0.19, + "learning_rate": 9.358490173043086e-06, + "loss": 0.714, + "step": 2765 + }, + { + "epoch": 0.19, + "learning_rate": 9.357950113249027e-06, + "loss": 0.6624, + "step": 2766 + }, + { + "epoch": 0.19, + "learning_rate": 9.357409841820394e-06, + "loss": 0.9309, + "step": 2767 + }, + { + "epoch": 0.19, + "learning_rate": 9.356869358783418e-06, + "loss": 0.7908, + "step": 2768 + }, + { + "epoch": 0.19, + "learning_rate": 9.35632866416435e-06, + "loss": 0.8915, + "step": 2769 + }, + { + "epoch": 0.19, + "learning_rate": 9.355787757989448e-06, + "loss": 0.756, + "step": 2770 + }, + { + "epoch": 0.19, + "learning_rate": 9.355246640284979e-06, + "loss": 0.9525, + "step": 2771 + }, + { + "epoch": 0.19, + "learning_rate": 9.35470531107722e-06, + "loss": 0.861, + "step": 2772 + }, + { + "epoch": 0.19, + "learning_rate": 9.35416377039246e-06, + "loss": 0.9166, + "step": 2773 + }, + { + "epoch": 0.19, + "learning_rate": 9.353622018257002e-06, + "loss": 0.9007, + "step": 2774 + }, + { + "epoch": 0.19, + "learning_rate": 9.35308005469715e-06, + "loss": 0.7672, + "step": 2775 + }, + { + "epoch": 0.19, + "learning_rate": 9.352537879739224e-06, + "loss": 0.7933, + "step": 2776 + }, + { + "epoch": 0.19, + "learning_rate": 9.351995493409556e-06, + "loss": 0.7701, + "step": 2777 + }, + { + "epoch": 0.19, + "learning_rate": 9.351452895734483e-06, + "loss": 0.9533, + "step": 2778 + }, + { + "epoch": 0.19, + "learning_rate": 9.350910086740356e-06, + "loss": 0.8087, + "step": 2779 + }, + { + "epoch": 0.19, + "learning_rate": 9.350367066453539e-06, + "loss": 0.8821, + "step": 2780 + }, + { + "epoch": 0.19, + "learning_rate": 9.349823834900396e-06, + "loss": 0.6401, + "step": 2781 + }, + { + "epoch": 0.19, + "learning_rate": 9.349280392107314e-06, + "loss": 0.7796, + "step": 2782 + }, + { + "epoch": 0.19, + "learning_rate": 9.34873673810068e-06, + "loss": 0.9905, + "step": 2783 + }, + { + "epoch": 0.19, + "learning_rate": 9.348192872906896e-06, + "loss": 0.6587, + "step": 2784 + }, + { + "epoch": 0.19, + "learning_rate": 9.347648796552375e-06, + "loss": 0.9128, + "step": 2785 + }, + { + "epoch": 0.19, + "learning_rate": 9.347104509063538e-06, + "loss": 0.6756, + "step": 2786 + }, + { + "epoch": 0.19, + "learning_rate": 9.34656001046682e-06, + "loss": 0.8383, + "step": 2787 + }, + { + "epoch": 0.19, + "learning_rate": 9.34601530078866e-06, + "loss": 0.7785, + "step": 2788 + }, + { + "epoch": 0.19, + "learning_rate": 9.34547038005551e-06, + "loss": 0.9243, + "step": 2789 + }, + { + "epoch": 0.19, + "learning_rate": 9.344925248293837e-06, + "loss": 0.5099, + "step": 2790 + }, + { + "epoch": 0.19, + "learning_rate": 9.34437990553011e-06, + "loss": 0.9471, + "step": 2791 + }, + { + "epoch": 0.19, + "learning_rate": 9.343834351790815e-06, + "loss": 0.7967, + "step": 2792 + }, + { + "epoch": 0.19, + "learning_rate": 9.343288587102444e-06, + "loss": 0.7217, + "step": 2793 + }, + { + "epoch": 0.19, + "learning_rate": 9.342742611491502e-06, + "loss": 0.6991, + "step": 2794 + }, + { + "epoch": 0.19, + "learning_rate": 9.342196424984503e-06, + "loss": 0.6963, + "step": 2795 + }, + { + "epoch": 0.19, + "learning_rate": 9.34165002760797e-06, + "loss": 0.694, + "step": 2796 + }, + { + "epoch": 0.19, + "learning_rate": 9.341103419388443e-06, + "loss": 0.575, + "step": 2797 + }, + { + "epoch": 0.19, + "learning_rate": 9.34055660035246e-06, + "loss": 0.4585, + "step": 2798 + }, + { + "epoch": 0.19, + "learning_rate": 9.340009570526578e-06, + "loss": 0.772, + "step": 2799 + }, + { + "epoch": 0.19, + "learning_rate": 9.339462329937365e-06, + "loss": 0.6205, + "step": 2800 + }, + { + "epoch": 0.19, + "learning_rate": 9.338914878611394e-06, + "loss": 0.8993, + "step": 2801 + }, + { + "epoch": 0.19, + "learning_rate": 9.33836721657525e-06, + "loss": 0.7913, + "step": 2802 + }, + { + "epoch": 0.19, + "learning_rate": 9.337819343855531e-06, + "loss": 0.6295, + "step": 2803 + }, + { + "epoch": 0.19, + "learning_rate": 9.337271260478847e-06, + "loss": 0.6744, + "step": 2804 + }, + { + "epoch": 0.19, + "learning_rate": 9.336722966471806e-06, + "loss": 0.5089, + "step": 2805 + }, + { + "epoch": 0.19, + "learning_rate": 9.336174461861041e-06, + "loss": 0.8865, + "step": 2806 + }, + { + "epoch": 0.19, + "learning_rate": 9.335625746673186e-06, + "loss": 0.7425, + "step": 2807 + }, + { + "epoch": 0.19, + "learning_rate": 9.335076820934889e-06, + "loss": 0.6367, + "step": 2808 + }, + { + "epoch": 0.19, + "learning_rate": 9.334527684672809e-06, + "loss": 0.8004, + "step": 2809 + }, + { + "epoch": 0.19, + "learning_rate": 9.333978337913614e-06, + "loss": 0.7713, + "step": 2810 + }, + { + "epoch": 0.19, + "learning_rate": 9.333428780683977e-06, + "loss": 0.8874, + "step": 2811 + }, + { + "epoch": 0.19, + "learning_rate": 9.332879013010591e-06, + "loss": 0.8268, + "step": 2812 + }, + { + "epoch": 0.19, + "learning_rate": 9.332329034920151e-06, + "loss": 0.7654, + "step": 2813 + }, + { + "epoch": 0.19, + "learning_rate": 9.331778846439368e-06, + "loss": 0.8309, + "step": 2814 + }, + { + "epoch": 0.19, + "learning_rate": 9.33122844759496e-06, + "loss": 0.5801, + "step": 2815 + }, + { + "epoch": 0.19, + "learning_rate": 9.330677838413656e-06, + "loss": 0.877, + "step": 2816 + }, + { + "epoch": 0.19, + "learning_rate": 9.330127018922195e-06, + "loss": 0.6759, + "step": 2817 + }, + { + "epoch": 0.19, + "learning_rate": 9.329575989147325e-06, + "loss": 0.5327, + "step": 2818 + }, + { + "epoch": 0.19, + "learning_rate": 9.329024749115807e-06, + "loss": 0.7743, + "step": 2819 + }, + { + "epoch": 0.19, + "learning_rate": 9.328473298854413e-06, + "loss": 0.9544, + "step": 2820 + }, + { + "epoch": 0.19, + "learning_rate": 9.327921638389918e-06, + "loss": 0.8484, + "step": 2821 + }, + { + "epoch": 0.19, + "learning_rate": 9.327369767749115e-06, + "loss": 1.0587, + "step": 2822 + }, + { + "epoch": 0.19, + "learning_rate": 9.326817686958806e-06, + "loss": 0.7931, + "step": 2823 + }, + { + "epoch": 0.19, + "learning_rate": 9.3262653960458e-06, + "loss": 0.5594, + "step": 2824 + }, + { + "epoch": 0.19, + "learning_rate": 9.325712895036916e-06, + "loss": 0.6246, + "step": 2825 + }, + { + "epoch": 0.19, + "learning_rate": 9.325160183958987e-06, + "loss": 0.5795, + "step": 2826 + }, + { + "epoch": 0.19, + "learning_rate": 9.324607262838856e-06, + "loss": 0.5826, + "step": 2827 + }, + { + "epoch": 0.19, + "learning_rate": 9.324054131703371e-06, + "loss": 0.6886, + "step": 2828 + }, + { + "epoch": 0.19, + "learning_rate": 9.323500790579395e-06, + "loss": 0.949, + "step": 2829 + }, + { + "epoch": 0.19, + "learning_rate": 9.3229472394938e-06, + "loss": 0.8945, + "step": 2830 + }, + { + "epoch": 0.19, + "learning_rate": 9.32239347847347e-06, + "loss": 1.1193, + "step": 2831 + }, + { + "epoch": 0.19, + "learning_rate": 9.321839507545294e-06, + "loss": 0.9327, + "step": 2832 + }, + { + "epoch": 0.19, + "learning_rate": 9.321285326736175e-06, + "loss": 0.7023, + "step": 2833 + }, + { + "epoch": 0.19, + "learning_rate": 9.320730936073028e-06, + "loss": 1.0286, + "step": 2834 + }, + { + "epoch": 0.19, + "learning_rate": 9.320176335582772e-06, + "loss": 0.876, + "step": 2835 + }, + { + "epoch": 0.19, + "learning_rate": 9.319621525292343e-06, + "loss": 0.8843, + "step": 2836 + }, + { + "epoch": 0.19, + "learning_rate": 9.319066505228682e-06, + "loss": 0.9592, + "step": 2837 + }, + { + "epoch": 0.19, + "learning_rate": 9.318511275418745e-06, + "loss": 0.5789, + "step": 2838 + }, + { + "epoch": 0.19, + "learning_rate": 9.317955835889493e-06, + "loss": 0.9745, + "step": 2839 + }, + { + "epoch": 0.19, + "learning_rate": 9.317400186667903e-06, + "loss": 0.7723, + "step": 2840 + }, + { + "epoch": 0.19, + "learning_rate": 9.316844327780955e-06, + "loss": 0.7598, + "step": 2841 + }, + { + "epoch": 0.19, + "learning_rate": 9.316288259255646e-06, + "loss": 0.6526, + "step": 2842 + }, + { + "epoch": 0.19, + "learning_rate": 9.315731981118979e-06, + "loss": 0.6746, + "step": 2843 + }, + { + "epoch": 0.19, + "learning_rate": 9.315175493397968e-06, + "loss": 0.8143, + "step": 2844 + }, + { + "epoch": 0.19, + "learning_rate": 9.314618796119638e-06, + "loss": 0.6816, + "step": 2845 + }, + { + "epoch": 0.19, + "learning_rate": 9.314061889311026e-06, + "loss": 0.7657, + "step": 2846 + }, + { + "epoch": 0.19, + "learning_rate": 9.313504772999173e-06, + "loss": 0.6027, + "step": 2847 + }, + { + "epoch": 0.19, + "learning_rate": 9.312947447211138e-06, + "loss": 0.5952, + "step": 2848 + }, + { + "epoch": 0.19, + "learning_rate": 9.312389911973985e-06, + "loss": 0.7872, + "step": 2849 + }, + { + "epoch": 0.19, + "learning_rate": 9.311832167314788e-06, + "loss": 0.7182, + "step": 2850 + }, + { + "epoch": 0.19, + "learning_rate": 9.311274213260633e-06, + "loss": 0.8544, + "step": 2851 + }, + { + "epoch": 0.19, + "learning_rate": 9.310716049838618e-06, + "loss": 0.8175, + "step": 2852 + }, + { + "epoch": 0.19, + "learning_rate": 9.310157677075847e-06, + "loss": 0.6161, + "step": 2853 + }, + { + "epoch": 0.19, + "learning_rate": 9.309599094999438e-06, + "loss": 0.6006, + "step": 2854 + }, + { + "epoch": 0.19, + "learning_rate": 9.309040303636517e-06, + "loss": 0.7322, + "step": 2855 + }, + { + "epoch": 0.19, + "learning_rate": 9.308481303014216e-06, + "loss": 0.8233, + "step": 2856 + }, + { + "epoch": 0.19, + "learning_rate": 9.307922093159688e-06, + "loss": 0.6476, + "step": 2857 + }, + { + "epoch": 0.19, + "learning_rate": 9.307362674100088e-06, + "loss": 0.8992, + "step": 2858 + }, + { + "epoch": 0.19, + "learning_rate": 9.30680304586258e-06, + "loss": 0.7695, + "step": 2859 + }, + { + "epoch": 0.19, + "learning_rate": 9.306243208474346e-06, + "loss": 0.9717, + "step": 2860 + }, + { + "epoch": 0.19, + "learning_rate": 9.305683161962569e-06, + "loss": 0.8367, + "step": 2861 + }, + { + "epoch": 0.19, + "learning_rate": 9.30512290635445e-06, + "loss": 0.8305, + "step": 2862 + }, + { + "epoch": 0.19, + "learning_rate": 9.304562441677192e-06, + "loss": 0.8406, + "step": 2863 + }, + { + "epoch": 0.19, + "learning_rate": 9.304001767958017e-06, + "loss": 0.6891, + "step": 2864 + }, + { + "epoch": 0.19, + "learning_rate": 9.303440885224153e-06, + "loss": 0.9301, + "step": 2865 + }, + { + "epoch": 0.19, + "learning_rate": 9.302879793502835e-06, + "loss": 0.8945, + "step": 2866 + }, + { + "epoch": 0.2, + "learning_rate": 9.302318492821312e-06, + "loss": 1.1265, + "step": 2867 + }, + { + "epoch": 0.2, + "learning_rate": 9.301756983206845e-06, + "loss": 0.5185, + "step": 2868 + }, + { + "epoch": 0.2, + "learning_rate": 9.3011952646867e-06, + "loss": 0.6319, + "step": 2869 + }, + { + "epoch": 0.2, + "learning_rate": 9.300633337288156e-06, + "loss": 0.9918, + "step": 2870 + }, + { + "epoch": 0.2, + "learning_rate": 9.300071201038503e-06, + "loss": 0.7236, + "step": 2871 + }, + { + "epoch": 0.2, + "learning_rate": 9.29950885596504e-06, + "loss": 0.7208, + "step": 2872 + }, + { + "epoch": 0.2, + "learning_rate": 9.298946302095074e-06, + "loss": 0.9502, + "step": 2873 + }, + { + "epoch": 0.2, + "learning_rate": 9.298383539455925e-06, + "loss": 0.6949, + "step": 2874 + }, + { + "epoch": 0.2, + "learning_rate": 9.297820568074924e-06, + "loss": 0.7905, + "step": 2875 + }, + { + "epoch": 0.2, + "learning_rate": 9.297257387979409e-06, + "loss": 0.8309, + "step": 2876 + }, + { + "epoch": 0.2, + "learning_rate": 9.296693999196729e-06, + "loss": 0.8846, + "step": 2877 + }, + { + "epoch": 0.2, + "learning_rate": 9.296130401754247e-06, + "loss": 0.8504, + "step": 2878 + }, + { + "epoch": 0.2, + "learning_rate": 9.295566595679327e-06, + "loss": 1.0185, + "step": 2879 + }, + { + "epoch": 0.2, + "learning_rate": 9.295002580999355e-06, + "loss": 0.4863, + "step": 2880 + }, + { + "epoch": 0.2, + "learning_rate": 9.29443835774172e-06, + "loss": 0.875, + "step": 2881 + }, + { + "epoch": 0.2, + "learning_rate": 9.29387392593382e-06, + "loss": 0.9698, + "step": 2882 + }, + { + "epoch": 0.2, + "learning_rate": 9.293309285603066e-06, + "loss": 0.9301, + "step": 2883 + }, + { + "epoch": 0.2, + "learning_rate": 9.29274443677688e-06, + "loss": 0.6444, + "step": 2884 + }, + { + "epoch": 0.2, + "learning_rate": 9.292179379482691e-06, + "loss": 0.7891, + "step": 2885 + }, + { + "epoch": 0.2, + "learning_rate": 9.291614113747942e-06, + "loss": 1.088, + "step": 2886 + }, + { + "epoch": 0.2, + "learning_rate": 9.291048639600082e-06, + "loss": 0.69, + "step": 2887 + }, + { + "epoch": 0.2, + "learning_rate": 9.290482957066574e-06, + "loss": 0.7909, + "step": 2888 + }, + { + "epoch": 0.2, + "learning_rate": 9.289917066174887e-06, + "loss": 0.9417, + "step": 2889 + }, + { + "epoch": 0.2, + "learning_rate": 9.289350966952502e-06, + "loss": 0.9196, + "step": 2890 + }, + { + "epoch": 0.2, + "learning_rate": 9.28878465942691e-06, + "loss": 0.8597, + "step": 2891 + }, + { + "epoch": 0.2, + "learning_rate": 9.288218143625618e-06, + "loss": 0.8294, + "step": 2892 + }, + { + "epoch": 0.2, + "learning_rate": 9.28765141957613e-06, + "loss": 0.8397, + "step": 2893 + }, + { + "epoch": 0.2, + "learning_rate": 9.287084487305975e-06, + "loss": 0.8189, + "step": 2894 + }, + { + "epoch": 0.2, + "learning_rate": 9.28651734684268e-06, + "loss": 0.4846, + "step": 2895 + }, + { + "epoch": 0.2, + "learning_rate": 9.285949998213788e-06, + "loss": 0.7199, + "step": 2896 + }, + { + "epoch": 0.2, + "learning_rate": 9.28538244144685e-06, + "loss": 0.7062, + "step": 2897 + }, + { + "epoch": 0.2, + "learning_rate": 9.284814676569431e-06, + "loss": 0.7943, + "step": 2898 + }, + { + "epoch": 0.2, + "learning_rate": 9.284246703609103e-06, + "loss": 0.9732, + "step": 2899 + }, + { + "epoch": 0.2, + "learning_rate": 9.283678522593445e-06, + "loss": 0.731, + "step": 2900 + }, + { + "epoch": 0.2, + "learning_rate": 9.283110133550053e-06, + "loss": 0.719, + "step": 2901 + }, + { + "epoch": 0.2, + "learning_rate": 9.282541536506527e-06, + "loss": 0.7239, + "step": 2902 + }, + { + "epoch": 0.2, + "learning_rate": 9.281972731490483e-06, + "loss": 0.7833, + "step": 2903 + }, + { + "epoch": 0.2, + "learning_rate": 9.28140371852954e-06, + "loss": 0.8464, + "step": 2904 + }, + { + "epoch": 0.2, + "learning_rate": 9.280834497651334e-06, + "loss": 0.9455, + "step": 2905 + }, + { + "epoch": 0.2, + "learning_rate": 9.280265068883505e-06, + "loss": 0.621, + "step": 2906 + }, + { + "epoch": 0.2, + "learning_rate": 9.27969543225371e-06, + "loss": 0.8767, + "step": 2907 + }, + { + "epoch": 0.2, + "learning_rate": 9.279125587789609e-06, + "loss": 0.5832, + "step": 2908 + }, + { + "epoch": 0.2, + "learning_rate": 9.278555535518876e-06, + "loss": 0.8249, + "step": 2909 + }, + { + "epoch": 0.2, + "learning_rate": 9.277985275469194e-06, + "loss": 0.7817, + "step": 2910 + }, + { + "epoch": 0.2, + "learning_rate": 9.277414807668259e-06, + "loss": 0.8777, + "step": 2911 + }, + { + "epoch": 0.2, + "learning_rate": 9.276844132143771e-06, + "loss": 0.6519, + "step": 2912 + }, + { + "epoch": 0.2, + "learning_rate": 9.276273248923446e-06, + "loss": 0.9878, + "step": 2913 + }, + { + "epoch": 0.2, + "learning_rate": 9.275702158035007e-06, + "loss": 0.8452, + "step": 2914 + }, + { + "epoch": 0.2, + "learning_rate": 9.27513085950619e-06, + "loss": 0.7005, + "step": 2915 + }, + { + "epoch": 0.2, + "learning_rate": 9.274559353364734e-06, + "loss": 0.9362, + "step": 2916 + }, + { + "epoch": 0.2, + "learning_rate": 9.273987639638396e-06, + "loss": 0.9825, + "step": 2917 + }, + { + "epoch": 0.2, + "learning_rate": 9.27341571835494e-06, + "loss": 0.7505, + "step": 2918 + }, + { + "epoch": 0.2, + "learning_rate": 9.272843589542143e-06, + "loss": 1.0364, + "step": 2919 + }, + { + "epoch": 0.2, + "learning_rate": 9.272271253227782e-06, + "loss": 0.5028, + "step": 2920 + }, + { + "epoch": 0.2, + "learning_rate": 9.271698709439658e-06, + "loss": 0.767, + "step": 2921 + }, + { + "epoch": 0.2, + "learning_rate": 9.271125958205571e-06, + "loss": 0.681, + "step": 2922 + }, + { + "epoch": 0.2, + "learning_rate": 9.27055299955334e-06, + "loss": 0.8354, + "step": 2923 + }, + { + "epoch": 0.2, + "learning_rate": 9.269979833510783e-06, + "loss": 0.6547, + "step": 2924 + }, + { + "epoch": 0.2, + "learning_rate": 9.269406460105742e-06, + "loss": 0.8095, + "step": 2925 + }, + { + "epoch": 0.2, + "learning_rate": 9.268832879366056e-06, + "loss": 0.6687, + "step": 2926 + }, + { + "epoch": 0.2, + "learning_rate": 9.268259091319583e-06, + "loss": 0.6668, + "step": 2927 + }, + { + "epoch": 0.2, + "learning_rate": 9.267685095994186e-06, + "loss": 0.823, + "step": 2928 + }, + { + "epoch": 0.2, + "learning_rate": 9.267110893417739e-06, + "loss": 0.8543, + "step": 2929 + }, + { + "epoch": 0.2, + "learning_rate": 9.266536483618132e-06, + "loss": 0.8477, + "step": 2930 + }, + { + "epoch": 0.2, + "learning_rate": 9.265961866623253e-06, + "loss": 0.8215, + "step": 2931 + }, + { + "epoch": 0.2, + "learning_rate": 9.265387042461012e-06, + "loss": 0.8021, + "step": 2932 + }, + { + "epoch": 0.2, + "learning_rate": 9.264812011159321e-06, + "loss": 0.9718, + "step": 2933 + }, + { + "epoch": 0.2, + "learning_rate": 9.264236772746108e-06, + "loss": 0.5551, + "step": 2934 + }, + { + "epoch": 0.2, + "learning_rate": 9.263661327249306e-06, + "loss": 0.8087, + "step": 2935 + }, + { + "epoch": 0.2, + "learning_rate": 9.263085674696864e-06, + "loss": 1.0378, + "step": 2936 + }, + { + "epoch": 0.2, + "learning_rate": 9.262509815116732e-06, + "loss": 0.7049, + "step": 2937 + }, + { + "epoch": 0.2, + "learning_rate": 9.261933748536879e-06, + "loss": 0.9057, + "step": 2938 + }, + { + "epoch": 0.2, + "learning_rate": 9.261357474985279e-06, + "loss": 0.6818, + "step": 2939 + }, + { + "epoch": 0.2, + "learning_rate": 9.260780994489918e-06, + "loss": 0.7975, + "step": 2940 + }, + { + "epoch": 0.2, + "learning_rate": 9.26020430707879e-06, + "loss": 0.7898, + "step": 2941 + }, + { + "epoch": 0.2, + "learning_rate": 9.259627412779905e-06, + "loss": 0.7033, + "step": 2942 + }, + { + "epoch": 0.2, + "learning_rate": 9.259050311621274e-06, + "loss": 1.025, + "step": 2943 + }, + { + "epoch": 0.2, + "learning_rate": 9.258473003630923e-06, + "loss": 1.0539, + "step": 2944 + }, + { + "epoch": 0.2, + "learning_rate": 9.257895488836893e-06, + "loss": 0.7086, + "step": 2945 + }, + { + "epoch": 0.2, + "learning_rate": 9.257317767267223e-06, + "loss": 0.9902, + "step": 2946 + }, + { + "epoch": 0.2, + "learning_rate": 9.25673983894997e-06, + "loss": 1.0664, + "step": 2947 + }, + { + "epoch": 0.2, + "learning_rate": 9.256161703913205e-06, + "loss": 0.6535, + "step": 2948 + }, + { + "epoch": 0.2, + "learning_rate": 9.255583362184998e-06, + "loss": 0.7425, + "step": 2949 + }, + { + "epoch": 0.2, + "learning_rate": 9.25500481379344e-06, + "loss": 0.5052, + "step": 2950 + }, + { + "epoch": 0.2, + "learning_rate": 9.254426058766624e-06, + "loss": 0.7401, + "step": 2951 + }, + { + "epoch": 0.2, + "learning_rate": 9.253847097132656e-06, + "loss": 0.7847, + "step": 2952 + }, + { + "epoch": 0.2, + "learning_rate": 9.253267928919652e-06, + "loss": 0.9735, + "step": 2953 + }, + { + "epoch": 0.2, + "learning_rate": 9.252688554155738e-06, + "loss": 0.8609, + "step": 2954 + }, + { + "epoch": 0.2, + "learning_rate": 9.25210897286905e-06, + "loss": 0.666, + "step": 2955 + }, + { + "epoch": 0.2, + "learning_rate": 9.251529185087735e-06, + "loss": 0.6973, + "step": 2956 + }, + { + "epoch": 0.2, + "learning_rate": 9.25094919083995e-06, + "loss": 0.6947, + "step": 2957 + }, + { + "epoch": 0.2, + "learning_rate": 9.250368990153861e-06, + "loss": 0.8089, + "step": 2958 + }, + { + "epoch": 0.2, + "learning_rate": 9.249788583057641e-06, + "loss": 0.7145, + "step": 2959 + }, + { + "epoch": 0.2, + "learning_rate": 9.24920796957948e-06, + "loss": 0.671, + "step": 2960 + }, + { + "epoch": 0.2, + "learning_rate": 9.248627149747573e-06, + "loss": 0.7263, + "step": 2961 + }, + { + "epoch": 0.2, + "learning_rate": 9.248046123590126e-06, + "loss": 0.8996, + "step": 2962 + }, + { + "epoch": 0.2, + "learning_rate": 9.247464891135353e-06, + "loss": 0.6072, + "step": 2963 + }, + { + "epoch": 0.2, + "learning_rate": 9.246883452411486e-06, + "loss": 0.7171, + "step": 2964 + }, + { + "epoch": 0.2, + "learning_rate": 9.246301807446757e-06, + "loss": 0.7498, + "step": 2965 + }, + { + "epoch": 0.2, + "learning_rate": 9.245719956269412e-06, + "loss": 0.7675, + "step": 2966 + }, + { + "epoch": 0.2, + "learning_rate": 9.24513789890771e-06, + "loss": 0.8795, + "step": 2967 + }, + { + "epoch": 0.2, + "learning_rate": 9.244555635389915e-06, + "loss": 0.466, + "step": 2968 + }, + { + "epoch": 0.2, + "learning_rate": 9.243973165744306e-06, + "loss": 0.8753, + "step": 2969 + }, + { + "epoch": 0.2, + "learning_rate": 9.243390489999166e-06, + "loss": 0.7933, + "step": 2970 + }, + { + "epoch": 0.2, + "learning_rate": 9.242807608182795e-06, + "loss": 0.7927, + "step": 2971 + }, + { + "epoch": 0.2, + "learning_rate": 9.242224520323498e-06, + "loss": 0.6596, + "step": 2972 + }, + { + "epoch": 0.2, + "learning_rate": 9.241641226449592e-06, + "loss": 0.7675, + "step": 2973 + }, + { + "epoch": 0.2, + "learning_rate": 9.2410577265894e-06, + "loss": 1.0128, + "step": 2974 + }, + { + "epoch": 0.2, + "learning_rate": 9.240474020771262e-06, + "loss": 0.9161, + "step": 2975 + }, + { + "epoch": 0.2, + "learning_rate": 9.239890109023524e-06, + "loss": 0.9403, + "step": 2976 + }, + { + "epoch": 0.2, + "learning_rate": 9.239305991374541e-06, + "loss": 0.8297, + "step": 2977 + }, + { + "epoch": 0.2, + "learning_rate": 9.238721667852681e-06, + "loss": 0.7886, + "step": 2978 + }, + { + "epoch": 0.2, + "learning_rate": 9.238137138486318e-06, + "loss": 0.7221, + "step": 2979 + }, + { + "epoch": 0.2, + "learning_rate": 9.237552403303841e-06, + "loss": 0.7344, + "step": 2980 + }, + { + "epoch": 0.2, + "learning_rate": 9.236967462333649e-06, + "loss": 0.9281, + "step": 2981 + }, + { + "epoch": 0.2, + "learning_rate": 9.23638231560414e-06, + "loss": 0.61, + "step": 2982 + }, + { + "epoch": 0.2, + "learning_rate": 9.235796963143737e-06, + "loss": 0.576, + "step": 2983 + }, + { + "epoch": 0.2, + "learning_rate": 9.235211404980866e-06, + "loss": 1.1444, + "step": 2984 + }, + { + "epoch": 0.2, + "learning_rate": 9.234625641143962e-06, + "loss": 0.5696, + "step": 2985 + }, + { + "epoch": 0.2, + "learning_rate": 9.23403967166147e-06, + "loss": 0.835, + "step": 2986 + }, + { + "epoch": 0.2, + "learning_rate": 9.233453496561851e-06, + "loss": 0.781, + "step": 2987 + }, + { + "epoch": 0.2, + "learning_rate": 9.232867115873566e-06, + "loss": 0.7868, + "step": 2988 + }, + { + "epoch": 0.2, + "learning_rate": 9.232280529625092e-06, + "loss": 0.9641, + "step": 2989 + }, + { + "epoch": 0.2, + "learning_rate": 9.23169373784492e-06, + "loss": 0.8509, + "step": 2990 + }, + { + "epoch": 0.2, + "learning_rate": 9.231106740561541e-06, + "loss": 0.7816, + "step": 2991 + }, + { + "epoch": 0.2, + "learning_rate": 9.230519537803466e-06, + "loss": 0.911, + "step": 2992 + }, + { + "epoch": 0.2, + "learning_rate": 9.229932129599206e-06, + "loss": 0.8272, + "step": 2993 + }, + { + "epoch": 0.2, + "learning_rate": 9.229344515977293e-06, + "loss": 1.0203, + "step": 2994 + }, + { + "epoch": 0.2, + "learning_rate": 9.228756696966256e-06, + "loss": 0.8432, + "step": 2995 + }, + { + "epoch": 0.2, + "learning_rate": 9.228168672594648e-06, + "loss": 0.9673, + "step": 2996 + }, + { + "epoch": 0.2, + "learning_rate": 9.227580442891022e-06, + "loss": 0.7926, + "step": 2997 + }, + { + "epoch": 0.2, + "learning_rate": 9.226992007883945e-06, + "loss": 0.7935, + "step": 2998 + }, + { + "epoch": 0.2, + "learning_rate": 9.226403367601993e-06, + "loss": 0.6613, + "step": 2999 + }, + { + "epoch": 0.2, + "learning_rate": 9.22581452207375e-06, + "loss": 0.8878, + "step": 3000 + }, + { + "epoch": 0.2, + "learning_rate": 9.225225471327815e-06, + "loss": 0.8011, + "step": 3001 + }, + { + "epoch": 0.2, + "learning_rate": 9.224636215392794e-06, + "loss": 0.7108, + "step": 3002 + }, + { + "epoch": 0.2, + "learning_rate": 9.2240467542973e-06, + "loss": 0.5499, + "step": 3003 + }, + { + "epoch": 0.2, + "learning_rate": 9.223457088069962e-06, + "loss": 0.9411, + "step": 3004 + }, + { + "epoch": 0.2, + "learning_rate": 9.222867216739413e-06, + "loss": 0.6976, + "step": 3005 + }, + { + "epoch": 0.2, + "learning_rate": 9.222277140334301e-06, + "loss": 0.663, + "step": 3006 + }, + { + "epoch": 0.2, + "learning_rate": 9.221686858883282e-06, + "loss": 0.7523, + "step": 3007 + }, + { + "epoch": 0.2, + "learning_rate": 9.221096372415021e-06, + "loss": 0.9241, + "step": 3008 + }, + { + "epoch": 0.2, + "learning_rate": 9.220505680958194e-06, + "loss": 0.7291, + "step": 3009 + }, + { + "epoch": 0.2, + "learning_rate": 9.219914784541485e-06, + "loss": 0.8081, + "step": 3010 + }, + { + "epoch": 0.2, + "learning_rate": 9.219323683193592e-06, + "loss": 0.8279, + "step": 3011 + }, + { + "epoch": 0.2, + "learning_rate": 9.218732376943219e-06, + "loss": 0.6404, + "step": 3012 + }, + { + "epoch": 0.2, + "learning_rate": 9.218140865819083e-06, + "loss": 0.7531, + "step": 3013 + }, + { + "epoch": 0.21, + "learning_rate": 9.217549149849907e-06, + "loss": 0.9032, + "step": 3014 + }, + { + "epoch": 0.21, + "learning_rate": 9.21695722906443e-06, + "loss": 1.0221, + "step": 3015 + }, + { + "epoch": 0.21, + "learning_rate": 9.216365103491393e-06, + "loss": 0.6047, + "step": 3016 + }, + { + "epoch": 0.21, + "learning_rate": 9.215772773159556e-06, + "loss": 0.8767, + "step": 3017 + }, + { + "epoch": 0.21, + "learning_rate": 9.215180238097682e-06, + "loss": 0.4491, + "step": 3018 + }, + { + "epoch": 0.21, + "learning_rate": 9.214587498334544e-06, + "loss": 0.7913, + "step": 3019 + }, + { + "epoch": 0.21, + "learning_rate": 9.213994553898931e-06, + "loss": 0.9119, + "step": 3020 + }, + { + "epoch": 0.21, + "learning_rate": 9.213401404819636e-06, + "loss": 0.8675, + "step": 3021 + }, + { + "epoch": 0.21, + "learning_rate": 9.212808051125465e-06, + "loss": 0.8812, + "step": 3022 + }, + { + "epoch": 0.21, + "learning_rate": 9.212214492845232e-06, + "loss": 1.0523, + "step": 3023 + }, + { + "epoch": 0.21, + "learning_rate": 9.211620730007763e-06, + "loss": 0.8604, + "step": 3024 + }, + { + "epoch": 0.21, + "learning_rate": 9.21102676264189e-06, + "loss": 0.9199, + "step": 3025 + }, + { + "epoch": 0.21, + "learning_rate": 9.210432590776461e-06, + "loss": 0.7322, + "step": 3026 + }, + { + "epoch": 0.21, + "learning_rate": 9.20983821444033e-06, + "loss": 0.6603, + "step": 3027 + }, + { + "epoch": 0.21, + "learning_rate": 9.209243633662362e-06, + "loss": 0.6289, + "step": 3028 + }, + { + "epoch": 0.21, + "learning_rate": 9.20864884847143e-06, + "loss": 0.7991, + "step": 3029 + }, + { + "epoch": 0.21, + "learning_rate": 9.208053858896418e-06, + "loss": 0.8466, + "step": 3030 + }, + { + "epoch": 0.21, + "learning_rate": 9.207458664966224e-06, + "loss": 0.7865, + "step": 3031 + }, + { + "epoch": 0.21, + "learning_rate": 9.206863266709749e-06, + "loss": 0.7596, + "step": 3032 + }, + { + "epoch": 0.21, + "learning_rate": 9.206267664155906e-06, + "loss": 0.8838, + "step": 3033 + }, + { + "epoch": 0.21, + "learning_rate": 9.205671857333625e-06, + "loss": 1.0003, + "step": 3034 + }, + { + "epoch": 0.21, + "learning_rate": 9.205075846271833e-06, + "loss": 0.8034, + "step": 3035 + }, + { + "epoch": 0.21, + "learning_rate": 9.20447963099948e-06, + "loss": 0.7335, + "step": 3036 + }, + { + "epoch": 0.21, + "learning_rate": 9.203883211545517e-06, + "loss": 0.846, + "step": 3037 + }, + { + "epoch": 0.21, + "learning_rate": 9.203286587938908e-06, + "loss": 0.9611, + "step": 3038 + }, + { + "epoch": 0.21, + "learning_rate": 9.202689760208627e-06, + "loss": 0.6433, + "step": 3039 + }, + { + "epoch": 0.21, + "learning_rate": 9.202092728383656e-06, + "loss": 0.7913, + "step": 3040 + }, + { + "epoch": 0.21, + "learning_rate": 9.201495492492994e-06, + "loss": 0.6931, + "step": 3041 + }, + { + "epoch": 0.21, + "learning_rate": 9.200898052565638e-06, + "loss": 0.6174, + "step": 3042 + }, + { + "epoch": 0.21, + "learning_rate": 9.200300408630605e-06, + "loss": 1.06, + "step": 3043 + }, + { + "epoch": 0.21, + "learning_rate": 9.199702560716917e-06, + "loss": 0.9015, + "step": 3044 + }, + { + "epoch": 0.21, + "learning_rate": 9.199104508853607e-06, + "loss": 1.1991, + "step": 3045 + }, + { + "epoch": 0.21, + "learning_rate": 9.19850625306972e-06, + "loss": 0.7959, + "step": 3046 + }, + { + "epoch": 0.21, + "learning_rate": 9.197907793394308e-06, + "loss": 0.784, + "step": 3047 + }, + { + "epoch": 0.21, + "learning_rate": 9.197309129856433e-06, + "loss": 0.7565, + "step": 3048 + }, + { + "epoch": 0.21, + "learning_rate": 9.196710262485168e-06, + "loss": 0.8135, + "step": 3049 + }, + { + "epoch": 0.21, + "learning_rate": 9.196111191309598e-06, + "loss": 1.042, + "step": 3050 + }, + { + "epoch": 0.21, + "learning_rate": 9.195511916358813e-06, + "loss": 0.8639, + "step": 3051 + }, + { + "epoch": 0.21, + "learning_rate": 9.194912437661916e-06, + "loss": 1.1413, + "step": 3052 + }, + { + "epoch": 0.21, + "learning_rate": 9.19431275524802e-06, + "loss": 0.5397, + "step": 3053 + }, + { + "epoch": 0.21, + "learning_rate": 9.193712869146248e-06, + "loss": 0.7104, + "step": 3054 + }, + { + "epoch": 0.21, + "learning_rate": 9.19311277938573e-06, + "loss": 0.8902, + "step": 3055 + }, + { + "epoch": 0.21, + "learning_rate": 9.19251248599561e-06, + "loss": 0.8482, + "step": 3056 + }, + { + "epoch": 0.21, + "learning_rate": 9.191911989005038e-06, + "loss": 0.7712, + "step": 3057 + }, + { + "epoch": 0.21, + "learning_rate": 9.191311288443179e-06, + "loss": 0.6233, + "step": 3058 + }, + { + "epoch": 0.21, + "learning_rate": 9.190710384339203e-06, + "loss": 0.6658, + "step": 3059 + }, + { + "epoch": 0.21, + "learning_rate": 9.19010927672229e-06, + "loss": 0.7774, + "step": 3060 + }, + { + "epoch": 0.21, + "learning_rate": 9.189507965621634e-06, + "loss": 0.6782, + "step": 3061 + }, + { + "epoch": 0.21, + "learning_rate": 9.188906451066438e-06, + "loss": 0.8704, + "step": 3062 + }, + { + "epoch": 0.21, + "learning_rate": 9.188304733085907e-06, + "loss": 0.746, + "step": 3063 + }, + { + "epoch": 0.21, + "learning_rate": 9.187702811709267e-06, + "loss": 1.0151, + "step": 3064 + }, + { + "epoch": 0.21, + "learning_rate": 9.187100686965749e-06, + "loss": 0.7217, + "step": 3065 + }, + { + "epoch": 0.21, + "learning_rate": 9.18649835888459e-06, + "loss": 0.6457, + "step": 3066 + }, + { + "epoch": 0.21, + "learning_rate": 9.185895827495047e-06, + "loss": 0.846, + "step": 3067 + }, + { + "epoch": 0.21, + "learning_rate": 9.185293092826375e-06, + "loss": 0.7229, + "step": 3068 + }, + { + "epoch": 0.21, + "learning_rate": 9.18469015490785e-06, + "loss": 0.7373, + "step": 3069 + }, + { + "epoch": 0.21, + "learning_rate": 9.184087013768746e-06, + "loss": 0.8381, + "step": 3070 + }, + { + "epoch": 0.21, + "learning_rate": 9.183483669438358e-06, + "loss": 0.9174, + "step": 3071 + }, + { + "epoch": 0.21, + "learning_rate": 9.182880121945983e-06, + "loss": 0.7724, + "step": 3072 + }, + { + "epoch": 0.21, + "learning_rate": 9.182276371320936e-06, + "loss": 0.5781, + "step": 3073 + }, + { + "epoch": 0.21, + "learning_rate": 9.181672417592529e-06, + "loss": 0.8374, + "step": 3074 + }, + { + "epoch": 0.21, + "learning_rate": 9.181068260790101e-06, + "loss": 1.0157, + "step": 3075 + }, + { + "epoch": 0.21, + "learning_rate": 9.180463900942983e-06, + "loss": 0.8461, + "step": 3076 + }, + { + "epoch": 0.21, + "learning_rate": 9.17985933808053e-06, + "loss": 0.5998, + "step": 3077 + }, + { + "epoch": 0.21, + "learning_rate": 9.1792545722321e-06, + "loss": 0.4892, + "step": 3078 + }, + { + "epoch": 0.21, + "learning_rate": 9.17864960342706e-06, + "loss": 0.9846, + "step": 3079 + }, + { + "epoch": 0.21, + "learning_rate": 9.178044431694793e-06, + "loss": 0.9216, + "step": 3080 + }, + { + "epoch": 0.21, + "learning_rate": 9.177439057064684e-06, + "loss": 0.5662, + "step": 3081 + }, + { + "epoch": 0.21, + "learning_rate": 9.176833479566131e-06, + "loss": 0.824, + "step": 3082 + }, + { + "epoch": 0.21, + "learning_rate": 9.17622769922855e-06, + "loss": 1.0461, + "step": 3083 + }, + { + "epoch": 0.21, + "learning_rate": 9.17562171608135e-06, + "loss": 0.9178, + "step": 3084 + }, + { + "epoch": 0.21, + "learning_rate": 9.175015530153968e-06, + "loss": 0.809, + "step": 3085 + }, + { + "epoch": 0.21, + "learning_rate": 9.174409141475833e-06, + "loss": 0.7591, + "step": 3086 + }, + { + "epoch": 0.21, + "learning_rate": 9.173802550076402e-06, + "loss": 0.5417, + "step": 3087 + }, + { + "epoch": 0.21, + "learning_rate": 9.173195755985127e-06, + "loss": 0.6878, + "step": 3088 + }, + { + "epoch": 0.21, + "learning_rate": 9.172588759231477e-06, + "loss": 0.6491, + "step": 3089 + }, + { + "epoch": 0.21, + "learning_rate": 9.17198155984493e-06, + "loss": 0.9769, + "step": 3090 + }, + { + "epoch": 0.21, + "learning_rate": 9.171374157854973e-06, + "loss": 0.8181, + "step": 3091 + }, + { + "epoch": 0.21, + "learning_rate": 9.170766553291102e-06, + "loss": 0.4071, + "step": 3092 + }, + { + "epoch": 0.21, + "learning_rate": 9.170158746182827e-06, + "loss": 0.8214, + "step": 3093 + }, + { + "epoch": 0.21, + "learning_rate": 9.169550736559662e-06, + "loss": 0.5843, + "step": 3094 + }, + { + "epoch": 0.21, + "learning_rate": 9.168942524451137e-06, + "loss": 0.8345, + "step": 3095 + }, + { + "epoch": 0.21, + "learning_rate": 9.168334109886785e-06, + "loss": 0.955, + "step": 3096 + }, + { + "epoch": 0.21, + "learning_rate": 9.167725492896153e-06, + "loss": 0.7141, + "step": 3097 + }, + { + "epoch": 0.21, + "learning_rate": 9.1671166735088e-06, + "loss": 0.8725, + "step": 3098 + }, + { + "epoch": 0.21, + "learning_rate": 9.166507651754289e-06, + "loss": 0.7895, + "step": 3099 + }, + { + "epoch": 0.21, + "learning_rate": 9.165898427662196e-06, + "loss": 0.9183, + "step": 3100 + }, + { + "epoch": 0.21, + "learning_rate": 9.165289001262108e-06, + "loss": 0.7281, + "step": 3101 + }, + { + "epoch": 0.21, + "learning_rate": 9.16467937258362e-06, + "loss": 0.9828, + "step": 3102 + }, + { + "epoch": 0.21, + "learning_rate": 9.164069541656337e-06, + "loss": 0.8724, + "step": 3103 + }, + { + "epoch": 0.21, + "learning_rate": 9.163459508509876e-06, + "loss": 0.9459, + "step": 3104 + }, + { + "epoch": 0.21, + "learning_rate": 9.162849273173857e-06, + "loss": 0.6426, + "step": 3105 + }, + { + "epoch": 0.21, + "learning_rate": 9.16223883567792e-06, + "loss": 0.7081, + "step": 3106 + }, + { + "epoch": 0.21, + "learning_rate": 9.161628196051709e-06, + "loss": 0.9526, + "step": 3107 + }, + { + "epoch": 0.21, + "learning_rate": 9.161017354324877e-06, + "loss": 0.6554, + "step": 3108 + }, + { + "epoch": 0.21, + "learning_rate": 9.160406310527087e-06, + "loss": 0.603, + "step": 3109 + }, + { + "epoch": 0.21, + "learning_rate": 9.159795064688016e-06, + "loss": 0.7492, + "step": 3110 + }, + { + "epoch": 0.21, + "learning_rate": 9.159183616837345e-06, + "loss": 0.6672, + "step": 3111 + }, + { + "epoch": 0.21, + "learning_rate": 9.15857196700477e-06, + "loss": 0.9307, + "step": 3112 + }, + { + "epoch": 0.21, + "learning_rate": 9.157960115219993e-06, + "loss": 0.9172, + "step": 3113 + }, + { + "epoch": 0.21, + "learning_rate": 9.157348061512728e-06, + "loss": 0.8879, + "step": 3114 + }, + { + "epoch": 0.21, + "learning_rate": 9.156735805912697e-06, + "loss": 0.5562, + "step": 3115 + }, + { + "epoch": 0.21, + "learning_rate": 9.156123348449634e-06, + "loss": 0.8377, + "step": 3116 + }, + { + "epoch": 0.21, + "learning_rate": 9.155510689153282e-06, + "loss": 0.8022, + "step": 3117 + }, + { + "epoch": 0.21, + "learning_rate": 9.154897828053393e-06, + "loss": 0.765, + "step": 3118 + }, + { + "epoch": 0.21, + "learning_rate": 9.154284765179728e-06, + "loss": 0.8612, + "step": 3119 + }, + { + "epoch": 0.21, + "learning_rate": 9.15367150056206e-06, + "loss": 0.7176, + "step": 3120 + }, + { + "epoch": 0.21, + "learning_rate": 9.153058034230174e-06, + "loss": 0.66, + "step": 3121 + }, + { + "epoch": 0.21, + "learning_rate": 9.152444366213856e-06, + "loss": 0.5844, + "step": 3122 + }, + { + "epoch": 0.21, + "learning_rate": 9.151830496542912e-06, + "loss": 0.3518, + "step": 3123 + }, + { + "epoch": 0.21, + "learning_rate": 9.151216425247152e-06, + "loss": 0.9361, + "step": 3124 + }, + { + "epoch": 0.21, + "learning_rate": 9.150602152356394e-06, + "loss": 0.8591, + "step": 3125 + }, + { + "epoch": 0.21, + "learning_rate": 9.149987677900475e-06, + "loss": 0.6919, + "step": 3126 + }, + { + "epoch": 0.21, + "learning_rate": 9.14937300190923e-06, + "loss": 0.7586, + "step": 3127 + }, + { + "epoch": 0.21, + "learning_rate": 9.14875812441251e-06, + "loss": 0.7195, + "step": 3128 + }, + { + "epoch": 0.21, + "learning_rate": 9.148143045440181e-06, + "loss": 0.9819, + "step": 3129 + }, + { + "epoch": 0.21, + "learning_rate": 9.147527765022107e-06, + "loss": 0.8908, + "step": 3130 + }, + { + "epoch": 0.21, + "learning_rate": 9.14691228318817e-06, + "loss": 0.9861, + "step": 3131 + }, + { + "epoch": 0.21, + "learning_rate": 9.146296599968258e-06, + "loss": 0.9245, + "step": 3132 + }, + { + "epoch": 0.21, + "learning_rate": 9.145680715392274e-06, + "loss": 0.7087, + "step": 3133 + }, + { + "epoch": 0.21, + "learning_rate": 9.14506462949012e-06, + "loss": 0.6638, + "step": 3134 + }, + { + "epoch": 0.21, + "learning_rate": 9.144448342291724e-06, + "loss": 0.5994, + "step": 3135 + }, + { + "epoch": 0.21, + "learning_rate": 9.14383185382701e-06, + "loss": 0.8538, + "step": 3136 + }, + { + "epoch": 0.21, + "learning_rate": 9.143215164125915e-06, + "loss": 0.9106, + "step": 3137 + }, + { + "epoch": 0.21, + "learning_rate": 9.142598273218389e-06, + "loss": 0.8653, + "step": 3138 + }, + { + "epoch": 0.21, + "learning_rate": 9.14198118113439e-06, + "loss": 0.6588, + "step": 3139 + }, + { + "epoch": 0.21, + "learning_rate": 9.141363887903887e-06, + "loss": 0.7287, + "step": 3140 + }, + { + "epoch": 0.21, + "learning_rate": 9.140746393556853e-06, + "loss": 1.0434, + "step": 3141 + }, + { + "epoch": 0.21, + "learning_rate": 9.140128698123284e-06, + "loss": 0.8905, + "step": 3142 + }, + { + "epoch": 0.21, + "learning_rate": 9.139510801633167e-06, + "loss": 0.774, + "step": 3143 + }, + { + "epoch": 0.21, + "learning_rate": 9.138892704116515e-06, + "loss": 0.8517, + "step": 3144 + }, + { + "epoch": 0.21, + "learning_rate": 9.138274405603342e-06, + "loss": 0.6624, + "step": 3145 + }, + { + "epoch": 0.21, + "learning_rate": 9.137655906123678e-06, + "loss": 0.6881, + "step": 3146 + }, + { + "epoch": 0.21, + "learning_rate": 9.137037205707552e-06, + "loss": 0.8246, + "step": 3147 + }, + { + "epoch": 0.21, + "learning_rate": 9.136418304385019e-06, + "loss": 0.8622, + "step": 3148 + }, + { + "epoch": 0.21, + "learning_rate": 9.135799202186128e-06, + "loss": 0.9133, + "step": 3149 + }, + { + "epoch": 0.21, + "learning_rate": 9.135179899140947e-06, + "loss": 0.8466, + "step": 3150 + }, + { + "epoch": 0.21, + "learning_rate": 9.134560395279547e-06, + "loss": 0.7292, + "step": 3151 + }, + { + "epoch": 0.21, + "learning_rate": 9.13394069063202e-06, + "loss": 0.7142, + "step": 3152 + }, + { + "epoch": 0.21, + "learning_rate": 9.133320785228457e-06, + "loss": 0.8636, + "step": 3153 + }, + { + "epoch": 0.21, + "learning_rate": 9.132700679098962e-06, + "loss": 0.6319, + "step": 3154 + }, + { + "epoch": 0.21, + "learning_rate": 9.132080372273649e-06, + "loss": 0.7503, + "step": 3155 + }, + { + "epoch": 0.21, + "learning_rate": 9.131459864782641e-06, + "loss": 0.8358, + "step": 3156 + }, + { + "epoch": 0.21, + "learning_rate": 9.130839156656075e-06, + "loss": 0.6714, + "step": 3157 + }, + { + "epoch": 0.21, + "learning_rate": 9.130218247924093e-06, + "loss": 0.7327, + "step": 3158 + }, + { + "epoch": 0.21, + "learning_rate": 9.129597138616845e-06, + "loss": 0.8484, + "step": 3159 + }, + { + "epoch": 0.21, + "learning_rate": 9.128975828764498e-06, + "loss": 0.9849, + "step": 3160 + }, + { + "epoch": 0.22, + "learning_rate": 9.128354318397223e-06, + "loss": 0.7101, + "step": 3161 + }, + { + "epoch": 0.22, + "learning_rate": 9.127732607545201e-06, + "loss": 0.7246, + "step": 3162 + }, + { + "epoch": 0.22, + "learning_rate": 9.127110696238626e-06, + "loss": 1.0372, + "step": 3163 + }, + { + "epoch": 0.22, + "learning_rate": 9.1264885845077e-06, + "loss": 0.9554, + "step": 3164 + }, + { + "epoch": 0.22, + "learning_rate": 9.125866272382633e-06, + "loss": 0.7588, + "step": 3165 + }, + { + "epoch": 0.22, + "learning_rate": 9.125243759893646e-06, + "loss": 0.7237, + "step": 3166 + }, + { + "epoch": 0.22, + "learning_rate": 9.124621047070974e-06, + "loss": 0.7707, + "step": 3167 + }, + { + "epoch": 0.22, + "learning_rate": 9.123998133944854e-06, + "loss": 0.7371, + "step": 3168 + }, + { + "epoch": 0.22, + "learning_rate": 9.123375020545534e-06, + "loss": 0.8456, + "step": 3169 + }, + { + "epoch": 0.22, + "learning_rate": 9.122751706903279e-06, + "loss": 1.0, + "step": 3170 + }, + { + "epoch": 0.22, + "learning_rate": 9.122128193048358e-06, + "loss": 0.8585, + "step": 3171 + }, + { + "epoch": 0.22, + "learning_rate": 9.12150447901105e-06, + "loss": 0.8489, + "step": 3172 + }, + { + "epoch": 0.22, + "learning_rate": 9.120880564821642e-06, + "loss": 0.7467, + "step": 3173 + }, + { + "epoch": 0.22, + "learning_rate": 9.120256450510436e-06, + "loss": 0.8037, + "step": 3174 + }, + { + "epoch": 0.22, + "learning_rate": 9.119632136107741e-06, + "loss": 0.7984, + "step": 3175 + }, + { + "epoch": 0.22, + "learning_rate": 9.119007621643874e-06, + "loss": 0.7374, + "step": 3176 + }, + { + "epoch": 0.22, + "learning_rate": 9.118382907149164e-06, + "loss": 0.7217, + "step": 3177 + }, + { + "epoch": 0.22, + "learning_rate": 9.117757992653949e-06, + "loss": 0.8611, + "step": 3178 + }, + { + "epoch": 0.22, + "learning_rate": 9.117132878188576e-06, + "loss": 0.5834, + "step": 3179 + }, + { + "epoch": 0.22, + "learning_rate": 9.116507563783402e-06, + "loss": 0.7103, + "step": 3180 + }, + { + "epoch": 0.22, + "learning_rate": 9.115882049468795e-06, + "loss": 0.9787, + "step": 3181 + }, + { + "epoch": 0.22, + "learning_rate": 9.115256335275133e-06, + "loss": 0.7283, + "step": 3182 + }, + { + "epoch": 0.22, + "learning_rate": 9.1146304212328e-06, + "loss": 0.9013, + "step": 3183 + }, + { + "epoch": 0.22, + "learning_rate": 9.114004307372192e-06, + "loss": 0.929, + "step": 3184 + }, + { + "epoch": 0.22, + "learning_rate": 9.113377993723716e-06, + "loss": 0.4261, + "step": 3185 + }, + { + "epoch": 0.22, + "learning_rate": 9.11275148031779e-06, + "loss": 0.8127, + "step": 3186 + }, + { + "epoch": 0.22, + "learning_rate": 9.112124767184835e-06, + "loss": 0.7201, + "step": 3187 + }, + { + "epoch": 0.22, + "learning_rate": 9.111497854355287e-06, + "loss": 0.6649, + "step": 3188 + }, + { + "epoch": 0.22, + "learning_rate": 9.110870741859594e-06, + "loss": 0.763, + "step": 3189 + }, + { + "epoch": 0.22, + "learning_rate": 9.110243429728207e-06, + "loss": 0.7431, + "step": 3190 + }, + { + "epoch": 0.22, + "learning_rate": 9.109615917991592e-06, + "loss": 0.7237, + "step": 3191 + }, + { + "epoch": 0.22, + "learning_rate": 9.108988206680221e-06, + "loss": 0.5715, + "step": 3192 + }, + { + "epoch": 0.22, + "learning_rate": 9.108360295824576e-06, + "loss": 0.7514, + "step": 3193 + }, + { + "epoch": 0.22, + "learning_rate": 9.107732185455155e-06, + "loss": 0.9217, + "step": 3194 + }, + { + "epoch": 0.22, + "learning_rate": 9.107103875602458e-06, + "loss": 0.767, + "step": 3195 + }, + { + "epoch": 0.22, + "learning_rate": 9.106475366297e-06, + "loss": 0.9384, + "step": 3196 + }, + { + "epoch": 0.22, + "learning_rate": 9.105846657569298e-06, + "loss": 0.6414, + "step": 3197 + }, + { + "epoch": 0.22, + "learning_rate": 9.105217749449887e-06, + "loss": 0.6168, + "step": 3198 + }, + { + "epoch": 0.22, + "learning_rate": 9.10458864196931e-06, + "loss": 0.8721, + "step": 3199 + }, + { + "epoch": 0.22, + "learning_rate": 9.103959335158116e-06, + "loss": 0.6869, + "step": 3200 + }, + { + "epoch": 0.22, + "learning_rate": 9.103329829046866e-06, + "loss": 0.9431, + "step": 3201 + }, + { + "epoch": 0.22, + "learning_rate": 9.102700123666133e-06, + "loss": 0.8155, + "step": 3202 + }, + { + "epoch": 0.22, + "learning_rate": 9.102070219046495e-06, + "loss": 0.5555, + "step": 3203 + }, + { + "epoch": 0.22, + "learning_rate": 9.101440115218543e-06, + "loss": 0.6756, + "step": 3204 + }, + { + "epoch": 0.22, + "learning_rate": 9.100809812212875e-06, + "loss": 0.6619, + "step": 3205 + }, + { + "epoch": 0.22, + "learning_rate": 9.100179310060104e-06, + "loss": 0.8969, + "step": 3206 + }, + { + "epoch": 0.22, + "learning_rate": 9.099548608790844e-06, + "loss": 0.447, + "step": 3207 + }, + { + "epoch": 0.22, + "learning_rate": 9.098917708435728e-06, + "loss": 0.9845, + "step": 3208 + }, + { + "epoch": 0.22, + "learning_rate": 9.098286609025392e-06, + "loss": 0.6559, + "step": 3209 + }, + { + "epoch": 0.22, + "learning_rate": 9.097655310590484e-06, + "loss": 0.7518, + "step": 3210 + }, + { + "epoch": 0.22, + "learning_rate": 9.097023813161664e-06, + "loss": 0.7548, + "step": 3211 + }, + { + "epoch": 0.22, + "learning_rate": 9.096392116769597e-06, + "loss": 0.7453, + "step": 3212 + }, + { + "epoch": 0.22, + "learning_rate": 9.09576022144496e-06, + "loss": 0.572, + "step": 3213 + }, + { + "epoch": 0.22, + "learning_rate": 9.09512812721844e-06, + "loss": 1.0035, + "step": 3214 + }, + { + "epoch": 0.22, + "learning_rate": 9.094495834120735e-06, + "loss": 0.8936, + "step": 3215 + }, + { + "epoch": 0.22, + "learning_rate": 9.093863342182549e-06, + "loss": 1.0364, + "step": 3216 + }, + { + "epoch": 0.22, + "learning_rate": 9.093230651434596e-06, + "loss": 0.7761, + "step": 3217 + }, + { + "epoch": 0.22, + "learning_rate": 9.092597761907607e-06, + "loss": 0.6794, + "step": 3218 + }, + { + "epoch": 0.22, + "learning_rate": 9.091964673632311e-06, + "loss": 0.6554, + "step": 3219 + }, + { + "epoch": 0.22, + "learning_rate": 9.091331386639456e-06, + "loss": 0.8672, + "step": 3220 + }, + { + "epoch": 0.22, + "learning_rate": 9.090697900959796e-06, + "loss": 0.8933, + "step": 3221 + }, + { + "epoch": 0.22, + "learning_rate": 9.090064216624093e-06, + "loss": 0.6407, + "step": 3222 + }, + { + "epoch": 0.22, + "learning_rate": 9.08943033366312e-06, + "loss": 0.8089, + "step": 3223 + }, + { + "epoch": 0.22, + "learning_rate": 9.088796252107665e-06, + "loss": 0.7565, + "step": 3224 + }, + { + "epoch": 0.22, + "learning_rate": 9.088161971988517e-06, + "loss": 0.8028, + "step": 3225 + }, + { + "epoch": 0.22, + "learning_rate": 9.087527493336476e-06, + "loss": 0.8821, + "step": 3226 + }, + { + "epoch": 0.22, + "learning_rate": 9.08689281618236e-06, + "loss": 0.7671, + "step": 3227 + }, + { + "epoch": 0.22, + "learning_rate": 9.086257940556988e-06, + "loss": 0.8147, + "step": 3228 + }, + { + "epoch": 0.22, + "learning_rate": 9.08562286649119e-06, + "loss": 0.8633, + "step": 3229 + }, + { + "epoch": 0.22, + "learning_rate": 9.08498759401581e-06, + "loss": 0.4978, + "step": 3230 + }, + { + "epoch": 0.22, + "learning_rate": 9.084352123161695e-06, + "loss": 1.0506, + "step": 3231 + }, + { + "epoch": 0.22, + "learning_rate": 9.08371645395971e-06, + "loss": 0.8637, + "step": 3232 + }, + { + "epoch": 0.22, + "learning_rate": 9.08308058644072e-06, + "loss": 0.8195, + "step": 3233 + }, + { + "epoch": 0.22, + "learning_rate": 9.082444520635608e-06, + "loss": 0.9969, + "step": 3234 + }, + { + "epoch": 0.22, + "learning_rate": 9.08180825657526e-06, + "loss": 0.8257, + "step": 3235 + }, + { + "epoch": 0.22, + "learning_rate": 9.081171794290577e-06, + "loss": 0.9503, + "step": 3236 + }, + { + "epoch": 0.22, + "learning_rate": 9.080535133812469e-06, + "loss": 0.7599, + "step": 3237 + }, + { + "epoch": 0.22, + "learning_rate": 9.079898275171852e-06, + "loss": 0.7933, + "step": 3238 + }, + { + "epoch": 0.22, + "learning_rate": 9.079261218399652e-06, + "loss": 0.9208, + "step": 3239 + }, + { + "epoch": 0.22, + "learning_rate": 9.078623963526811e-06, + "loss": 0.7971, + "step": 3240 + }, + { + "epoch": 0.22, + "learning_rate": 9.077986510584273e-06, + "loss": 1.0546, + "step": 3241 + }, + { + "epoch": 0.22, + "learning_rate": 9.077348859602992e-06, + "loss": 0.6949, + "step": 3242 + }, + { + "epoch": 0.22, + "learning_rate": 9.076711010613939e-06, + "loss": 0.9059, + "step": 3243 + }, + { + "epoch": 0.22, + "learning_rate": 9.076072963648087e-06, + "loss": 0.9061, + "step": 3244 + }, + { + "epoch": 0.22, + "learning_rate": 9.075434718736423e-06, + "loss": 0.8478, + "step": 3245 + }, + { + "epoch": 0.22, + "learning_rate": 9.074796275909941e-06, + "loss": 0.8017, + "step": 3246 + }, + { + "epoch": 0.22, + "learning_rate": 9.074157635199646e-06, + "loss": 0.7428, + "step": 3247 + }, + { + "epoch": 0.22, + "learning_rate": 9.073518796636548e-06, + "loss": 0.8774, + "step": 3248 + }, + { + "epoch": 0.22, + "learning_rate": 9.07287976025168e-06, + "loss": 0.8663, + "step": 3249 + }, + { + "epoch": 0.22, + "learning_rate": 9.072240526076067e-06, + "loss": 0.7855, + "step": 3250 + }, + { + "epoch": 0.22, + "learning_rate": 9.071601094140757e-06, + "loss": 0.8848, + "step": 3251 + }, + { + "epoch": 0.22, + "learning_rate": 9.0709614644768e-06, + "loss": 0.8676, + "step": 3252 + }, + { + "epoch": 0.22, + "learning_rate": 9.07032163711526e-06, + "loss": 0.6965, + "step": 3253 + }, + { + "epoch": 0.22, + "learning_rate": 9.069681612087206e-06, + "loss": 0.9211, + "step": 3254 + }, + { + "epoch": 0.22, + "learning_rate": 9.069041389423722e-06, + "loss": 1.052, + "step": 3255 + }, + { + "epoch": 0.22, + "learning_rate": 9.0684009691559e-06, + "loss": 1.0053, + "step": 3256 + }, + { + "epoch": 0.22, + "learning_rate": 9.067760351314838e-06, + "loss": 0.5751, + "step": 3257 + }, + { + "epoch": 0.22, + "learning_rate": 9.067119535931648e-06, + "loss": 0.8875, + "step": 3258 + }, + { + "epoch": 0.22, + "learning_rate": 9.06647852303745e-06, + "loss": 0.8861, + "step": 3259 + }, + { + "epoch": 0.22, + "learning_rate": 9.065837312663371e-06, + "loss": 0.8475, + "step": 3260 + }, + { + "epoch": 0.22, + "learning_rate": 9.065195904840553e-06, + "loss": 0.6673, + "step": 3261 + }, + { + "epoch": 0.22, + "learning_rate": 9.064554299600143e-06, + "loss": 0.9999, + "step": 3262 + }, + { + "epoch": 0.22, + "learning_rate": 9.0639124969733e-06, + "loss": 0.9491, + "step": 3263 + }, + { + "epoch": 0.22, + "learning_rate": 9.06327049699119e-06, + "loss": 0.7793, + "step": 3264 + }, + { + "epoch": 0.22, + "learning_rate": 9.062628299684992e-06, + "loss": 0.829, + "step": 3265 + }, + { + "epoch": 0.22, + "learning_rate": 9.061985905085891e-06, + "loss": 0.8775, + "step": 3266 + }, + { + "epoch": 0.22, + "learning_rate": 9.061343313225088e-06, + "loss": 1.0557, + "step": 3267 + }, + { + "epoch": 0.22, + "learning_rate": 9.060700524133786e-06, + "loss": 0.7681, + "step": 3268 + }, + { + "epoch": 0.22, + "learning_rate": 9.0600575378432e-06, + "loss": 0.6597, + "step": 3269 + }, + { + "epoch": 0.22, + "learning_rate": 9.059414354384555e-06, + "loss": 0.9112, + "step": 3270 + }, + { + "epoch": 0.22, + "learning_rate": 9.058770973789087e-06, + "loss": 0.8737, + "step": 3271 + }, + { + "epoch": 0.22, + "learning_rate": 9.058127396088042e-06, + "loss": 0.8302, + "step": 3272 + }, + { + "epoch": 0.22, + "learning_rate": 9.057483621312671e-06, + "loss": 0.7533, + "step": 3273 + }, + { + "epoch": 0.22, + "learning_rate": 9.05683964949424e-06, + "loss": 0.7793, + "step": 3274 + }, + { + "epoch": 0.22, + "learning_rate": 9.05619548066402e-06, + "loss": 0.8859, + "step": 3275 + }, + { + "epoch": 0.22, + "learning_rate": 9.055551114853296e-06, + "loss": 0.7888, + "step": 3276 + }, + { + "epoch": 0.22, + "learning_rate": 9.05490655209336e-06, + "loss": 0.8334, + "step": 3277 + }, + { + "epoch": 0.22, + "learning_rate": 9.054261792415511e-06, + "loss": 0.6842, + "step": 3278 + }, + { + "epoch": 0.22, + "learning_rate": 9.053616835851062e-06, + "loss": 0.9823, + "step": 3279 + }, + { + "epoch": 0.22, + "learning_rate": 9.052971682431335e-06, + "loss": 0.6686, + "step": 3280 + }, + { + "epoch": 0.22, + "learning_rate": 9.05232633218766e-06, + "loss": 1.0696, + "step": 3281 + }, + { + "epoch": 0.22, + "learning_rate": 9.051680785151375e-06, + "loss": 0.7546, + "step": 3282 + }, + { + "epoch": 0.22, + "learning_rate": 9.051035041353833e-06, + "loss": 0.9357, + "step": 3283 + }, + { + "epoch": 0.22, + "learning_rate": 9.050389100826391e-06, + "loss": 0.9385, + "step": 3284 + }, + { + "epoch": 0.22, + "learning_rate": 9.04974296360042e-06, + "loss": 0.6746, + "step": 3285 + }, + { + "epoch": 0.22, + "learning_rate": 9.049096629707292e-06, + "loss": 0.7239, + "step": 3286 + }, + { + "epoch": 0.22, + "learning_rate": 9.048450099178403e-06, + "loss": 0.4764, + "step": 3287 + }, + { + "epoch": 0.22, + "learning_rate": 9.047803372045146e-06, + "loss": 0.805, + "step": 3288 + }, + { + "epoch": 0.22, + "learning_rate": 9.047156448338927e-06, + "loss": 0.9225, + "step": 3289 + }, + { + "epoch": 0.22, + "learning_rate": 9.046509328091167e-06, + "loss": 0.7956, + "step": 3290 + }, + { + "epoch": 0.22, + "learning_rate": 9.045862011333286e-06, + "loss": 1.0268, + "step": 3291 + }, + { + "epoch": 0.22, + "learning_rate": 9.045214498096724e-06, + "loss": 0.5477, + "step": 3292 + }, + { + "epoch": 0.22, + "learning_rate": 9.044566788412926e-06, + "loss": 0.6321, + "step": 3293 + }, + { + "epoch": 0.22, + "learning_rate": 9.043918882313344e-06, + "loss": 0.6913, + "step": 3294 + }, + { + "epoch": 0.22, + "learning_rate": 9.043270779829445e-06, + "loss": 0.8526, + "step": 3295 + }, + { + "epoch": 0.22, + "learning_rate": 9.0426224809927e-06, + "loss": 0.7941, + "step": 3296 + }, + { + "epoch": 0.22, + "learning_rate": 9.041973985834595e-06, + "loss": 0.7575, + "step": 3297 + }, + { + "epoch": 0.22, + "learning_rate": 9.04132529438662e-06, + "loss": 0.9638, + "step": 3298 + }, + { + "epoch": 0.22, + "learning_rate": 9.04067640668028e-06, + "loss": 0.7529, + "step": 3299 + }, + { + "epoch": 0.22, + "learning_rate": 9.040027322747085e-06, + "loss": 0.7418, + "step": 3300 + }, + { + "epoch": 0.22, + "learning_rate": 9.039378042618556e-06, + "loss": 0.5632, + "step": 3301 + }, + { + "epoch": 0.22, + "learning_rate": 9.038728566326225e-06, + "loss": 0.9373, + "step": 3302 + }, + { + "epoch": 0.22, + "learning_rate": 9.038078893901634e-06, + "loss": 0.8711, + "step": 3303 + }, + { + "epoch": 0.22, + "learning_rate": 9.03742902537633e-06, + "loss": 0.6104, + "step": 3304 + }, + { + "epoch": 0.22, + "learning_rate": 9.036778960781874e-06, + "loss": 0.974, + "step": 3305 + }, + { + "epoch": 0.22, + "learning_rate": 9.036128700149836e-06, + "loss": 0.7658, + "step": 3306 + }, + { + "epoch": 0.23, + "learning_rate": 9.035478243511791e-06, + "loss": 0.8356, + "step": 3307 + }, + { + "epoch": 0.23, + "learning_rate": 9.03482759089933e-06, + "loss": 0.8863, + "step": 3308 + }, + { + "epoch": 0.23, + "learning_rate": 9.034176742344049e-06, + "loss": 0.8405, + "step": 3309 + }, + { + "epoch": 0.23, + "learning_rate": 9.033525697877558e-06, + "loss": 0.6875, + "step": 3310 + }, + { + "epoch": 0.23, + "learning_rate": 9.03287445753147e-06, + "loss": 0.5915, + "step": 3311 + }, + { + "epoch": 0.23, + "learning_rate": 9.032223021337415e-06, + "loss": 0.921, + "step": 3312 + }, + { + "epoch": 0.23, + "learning_rate": 9.031571389327023e-06, + "loss": 0.8315, + "step": 3313 + }, + { + "epoch": 0.23, + "learning_rate": 9.030919561531943e-06, + "loss": 1.2107, + "step": 3314 + }, + { + "epoch": 0.23, + "learning_rate": 9.03026753798383e-06, + "loss": 0.6734, + "step": 3315 + }, + { + "epoch": 0.23, + "learning_rate": 9.029615318714348e-06, + "loss": 0.6276, + "step": 3316 + }, + { + "epoch": 0.23, + "learning_rate": 9.028962903755168e-06, + "loss": 0.8463, + "step": 3317 + }, + { + "epoch": 0.23, + "learning_rate": 9.028310293137976e-06, + "loss": 0.8414, + "step": 3318 + }, + { + "epoch": 0.23, + "learning_rate": 9.027657486894463e-06, + "loss": 0.6682, + "step": 3319 + }, + { + "epoch": 0.23, + "learning_rate": 9.027004485056332e-06, + "loss": 0.9215, + "step": 3320 + }, + { + "epoch": 0.23, + "learning_rate": 9.026351287655294e-06, + "loss": 0.8121, + "step": 3321 + }, + { + "epoch": 0.23, + "learning_rate": 9.025697894723071e-06, + "loss": 0.8446, + "step": 3322 + }, + { + "epoch": 0.23, + "learning_rate": 9.025044306291392e-06, + "loss": 0.8096, + "step": 3323 + }, + { + "epoch": 0.23, + "learning_rate": 9.024390522391999e-06, + "loss": 0.8548, + "step": 3324 + }, + { + "epoch": 0.23, + "learning_rate": 9.023736543056641e-06, + "loss": 0.948, + "step": 3325 + }, + { + "epoch": 0.23, + "learning_rate": 9.023082368317077e-06, + "loss": 0.6648, + "step": 3326 + }, + { + "epoch": 0.23, + "learning_rate": 9.022427998205076e-06, + "loss": 0.747, + "step": 3327 + }, + { + "epoch": 0.23, + "learning_rate": 9.021773432752416e-06, + "loss": 1.048, + "step": 3328 + }, + { + "epoch": 0.23, + "learning_rate": 9.021118671990883e-06, + "loss": 0.7655, + "step": 3329 + }, + { + "epoch": 0.23, + "learning_rate": 9.020463715952276e-06, + "loss": 0.7496, + "step": 3330 + }, + { + "epoch": 0.23, + "learning_rate": 9.0198085646684e-06, + "loss": 0.7979, + "step": 3331 + }, + { + "epoch": 0.23, + "learning_rate": 9.019153218171072e-06, + "loss": 0.9031, + "step": 3332 + }, + { + "epoch": 0.23, + "learning_rate": 9.01849767649212e-06, + "loss": 0.9687, + "step": 3333 + }, + { + "epoch": 0.23, + "learning_rate": 9.017841939663375e-06, + "loss": 0.7507, + "step": 3334 + }, + { + "epoch": 0.23, + "learning_rate": 9.017186007716681e-06, + "loss": 0.9667, + "step": 3335 + }, + { + "epoch": 0.23, + "learning_rate": 9.016529880683896e-06, + "loss": 0.7569, + "step": 3336 + }, + { + "epoch": 0.23, + "learning_rate": 9.01587355859688e-06, + "loss": 0.9093, + "step": 3337 + }, + { + "epoch": 0.23, + "learning_rate": 9.015217041487507e-06, + "loss": 0.821, + "step": 3338 + }, + { + "epoch": 0.23, + "learning_rate": 9.014560329387661e-06, + "loss": 1.0476, + "step": 3339 + }, + { + "epoch": 0.23, + "learning_rate": 9.013903422329232e-06, + "loss": 0.7869, + "step": 3340 + }, + { + "epoch": 0.23, + "learning_rate": 9.01324632034412e-06, + "loss": 0.8826, + "step": 3341 + }, + { + "epoch": 0.23, + "learning_rate": 9.012589023464238e-06, + "loss": 0.8571, + "step": 3342 + }, + { + "epoch": 0.23, + "learning_rate": 9.011931531721508e-06, + "loss": 0.744, + "step": 3343 + }, + { + "epoch": 0.23, + "learning_rate": 9.011273845147854e-06, + "loss": 0.7544, + "step": 3344 + }, + { + "epoch": 0.23, + "learning_rate": 9.01061596377522e-06, + "loss": 1.0801, + "step": 3345 + }, + { + "epoch": 0.23, + "learning_rate": 9.009957887635552e-06, + "loss": 0.8659, + "step": 3346 + }, + { + "epoch": 0.23, + "learning_rate": 9.009299616760809e-06, + "loss": 0.6559, + "step": 3347 + }, + { + "epoch": 0.23, + "learning_rate": 9.00864115118296e-06, + "loss": 0.6628, + "step": 3348 + }, + { + "epoch": 0.23, + "learning_rate": 9.00798249093398e-06, + "loss": 0.7447, + "step": 3349 + }, + { + "epoch": 0.23, + "learning_rate": 9.007323636045857e-06, + "loss": 0.8364, + "step": 3350 + }, + { + "epoch": 0.23, + "learning_rate": 9.006664586550585e-06, + "loss": 0.5874, + "step": 3351 + }, + { + "epoch": 0.23, + "learning_rate": 9.00600534248017e-06, + "loss": 0.8663, + "step": 3352 + }, + { + "epoch": 0.23, + "learning_rate": 9.005345903866627e-06, + "loss": 0.6847, + "step": 3353 + }, + { + "epoch": 0.23, + "learning_rate": 9.00468627074198e-06, + "loss": 0.8412, + "step": 3354 + }, + { + "epoch": 0.23, + "learning_rate": 9.004026443138265e-06, + "loss": 0.9472, + "step": 3355 + }, + { + "epoch": 0.23, + "learning_rate": 9.00336642108752e-06, + "loss": 0.7578, + "step": 3356 + }, + { + "epoch": 0.23, + "learning_rate": 9.002706204621802e-06, + "loss": 0.7907, + "step": 3357 + }, + { + "epoch": 0.23, + "learning_rate": 9.002045793773173e-06, + "loss": 1.0478, + "step": 3358 + }, + { + "epoch": 0.23, + "learning_rate": 9.001385188573702e-06, + "loss": 0.8244, + "step": 3359 + }, + { + "epoch": 0.23, + "learning_rate": 9.00072438905547e-06, + "loss": 0.8416, + "step": 3360 + }, + { + "epoch": 0.23, + "learning_rate": 9.00006339525057e-06, + "loss": 0.7387, + "step": 3361 + }, + { + "epoch": 0.23, + "learning_rate": 8.999402207191099e-06, + "loss": 0.7734, + "step": 3362 + }, + { + "epoch": 0.23, + "learning_rate": 8.998740824909169e-06, + "loss": 0.5308, + "step": 3363 + }, + { + "epoch": 0.23, + "learning_rate": 8.998079248436895e-06, + "loss": 0.6372, + "step": 3364 + }, + { + "epoch": 0.23, + "learning_rate": 8.997417477806408e-06, + "loss": 0.3033, + "step": 3365 + }, + { + "epoch": 0.23, + "learning_rate": 8.996755513049844e-06, + "loss": 0.8638, + "step": 3366 + }, + { + "epoch": 0.23, + "learning_rate": 8.996093354199349e-06, + "loss": 0.8406, + "step": 3367 + }, + { + "epoch": 0.23, + "learning_rate": 8.995431001287082e-06, + "loss": 0.9167, + "step": 3368 + }, + { + "epoch": 0.23, + "learning_rate": 8.994768454345207e-06, + "loss": 0.58, + "step": 3369 + }, + { + "epoch": 0.23, + "learning_rate": 8.994105713405901e-06, + "loss": 0.8956, + "step": 3370 + }, + { + "epoch": 0.23, + "learning_rate": 8.993442778501344e-06, + "loss": 0.8994, + "step": 3371 + }, + { + "epoch": 0.23, + "learning_rate": 8.992779649663736e-06, + "loss": 0.8621, + "step": 3372 + }, + { + "epoch": 0.23, + "learning_rate": 8.992116326925277e-06, + "loss": 0.7152, + "step": 3373 + }, + { + "epoch": 0.23, + "learning_rate": 8.991452810318183e-06, + "loss": 0.5978, + "step": 3374 + }, + { + "epoch": 0.23, + "learning_rate": 8.99078909987467e-06, + "loss": 0.546, + "step": 3375 + }, + { + "epoch": 0.23, + "learning_rate": 8.990125195626974e-06, + "loss": 0.5605, + "step": 3376 + }, + { + "epoch": 0.23, + "learning_rate": 8.989461097607338e-06, + "loss": 0.7098, + "step": 3377 + }, + { + "epoch": 0.23, + "learning_rate": 8.988796805848008e-06, + "loss": 0.8251, + "step": 3378 + }, + { + "epoch": 0.23, + "learning_rate": 8.988132320381246e-06, + "loss": 0.7893, + "step": 3379 + }, + { + "epoch": 0.23, + "learning_rate": 8.987467641239323e-06, + "loss": 0.6739, + "step": 3380 + }, + { + "epoch": 0.23, + "learning_rate": 8.986802768454514e-06, + "loss": 0.7816, + "step": 3381 + }, + { + "epoch": 0.23, + "learning_rate": 8.98613770205911e-06, + "loss": 0.9512, + "step": 3382 + }, + { + "epoch": 0.23, + "learning_rate": 8.985472442085408e-06, + "loss": 0.5766, + "step": 3383 + }, + { + "epoch": 0.23, + "learning_rate": 8.984806988565716e-06, + "loss": 0.8549, + "step": 3384 + }, + { + "epoch": 0.23, + "learning_rate": 8.984141341532346e-06, + "loss": 0.6501, + "step": 3385 + }, + { + "epoch": 0.23, + "learning_rate": 8.98347550101763e-06, + "loss": 0.5892, + "step": 3386 + }, + { + "epoch": 0.23, + "learning_rate": 8.982809467053897e-06, + "loss": 0.9995, + "step": 3387 + }, + { + "epoch": 0.23, + "learning_rate": 8.982143239673496e-06, + "loss": 0.921, + "step": 3388 + }, + { + "epoch": 0.23, + "learning_rate": 8.981476818908778e-06, + "loss": 0.8221, + "step": 3389 + }, + { + "epoch": 0.23, + "learning_rate": 8.98081020479211e-06, + "loss": 0.9105, + "step": 3390 + }, + { + "epoch": 0.23, + "learning_rate": 8.980143397355861e-06, + "loss": 0.9486, + "step": 3391 + }, + { + "epoch": 0.23, + "learning_rate": 8.979476396632414e-06, + "loss": 0.5889, + "step": 3392 + }, + { + "epoch": 0.23, + "learning_rate": 8.978809202654161e-06, + "loss": 0.8425, + "step": 3393 + }, + { + "epoch": 0.23, + "learning_rate": 8.978141815453503e-06, + "loss": 0.8795, + "step": 3394 + }, + { + "epoch": 0.23, + "learning_rate": 8.977474235062851e-06, + "loss": 0.7285, + "step": 3395 + }, + { + "epoch": 0.23, + "learning_rate": 8.976806461514622e-06, + "loss": 0.6873, + "step": 3396 + }, + { + "epoch": 0.23, + "learning_rate": 8.976138494841246e-06, + "loss": 0.6463, + "step": 3397 + }, + { + "epoch": 0.23, + "learning_rate": 8.975470335075164e-06, + "loss": 0.8925, + "step": 3398 + }, + { + "epoch": 0.23, + "learning_rate": 8.97480198224882e-06, + "loss": 0.687, + "step": 3399 + }, + { + "epoch": 0.23, + "learning_rate": 8.974133436394674e-06, + "loss": 0.8247, + "step": 3400 + }, + { + "epoch": 0.23, + "learning_rate": 8.973464697545191e-06, + "loss": 0.6317, + "step": 3401 + }, + { + "epoch": 0.23, + "learning_rate": 8.972795765732847e-06, + "loss": 0.9776, + "step": 3402 + }, + { + "epoch": 0.23, + "learning_rate": 8.972126640990129e-06, + "loss": 0.7185, + "step": 3403 + }, + { + "epoch": 0.23, + "learning_rate": 8.971457323349528e-06, + "loss": 0.6252, + "step": 3404 + }, + { + "epoch": 0.23, + "learning_rate": 8.970787812843552e-06, + "loss": 1.0264, + "step": 3405 + }, + { + "epoch": 0.23, + "learning_rate": 8.97011810950471e-06, + "loss": 0.7385, + "step": 3406 + }, + { + "epoch": 0.23, + "learning_rate": 8.969448213365528e-06, + "loss": 0.8736, + "step": 3407 + }, + { + "epoch": 0.23, + "learning_rate": 8.96877812445854e-06, + "loss": 0.5398, + "step": 3408 + }, + { + "epoch": 0.23, + "learning_rate": 8.96810784281628e-06, + "loss": 0.616, + "step": 3409 + }, + { + "epoch": 0.23, + "learning_rate": 8.967437368471307e-06, + "loss": 0.8205, + "step": 3410 + }, + { + "epoch": 0.23, + "learning_rate": 8.966766701456177e-06, + "loss": 0.8376, + "step": 3411 + }, + { + "epoch": 0.23, + "learning_rate": 8.966095841803459e-06, + "loss": 0.5937, + "step": 3412 + }, + { + "epoch": 0.23, + "learning_rate": 8.965424789545735e-06, + "loss": 0.8782, + "step": 3413 + }, + { + "epoch": 0.23, + "learning_rate": 8.96475354471559e-06, + "loss": 0.7871, + "step": 3414 + }, + { + "epoch": 0.23, + "learning_rate": 8.964082107345622e-06, + "loss": 0.7061, + "step": 3415 + }, + { + "epoch": 0.23, + "learning_rate": 8.96341047746844e-06, + "loss": 0.7667, + "step": 3416 + }, + { + "epoch": 0.23, + "learning_rate": 8.96273865511666e-06, + "loss": 0.9042, + "step": 3417 + }, + { + "epoch": 0.23, + "learning_rate": 8.962066640322905e-06, + "loss": 0.8267, + "step": 3418 + }, + { + "epoch": 0.23, + "learning_rate": 8.961394433119812e-06, + "loss": 0.6974, + "step": 3419 + }, + { + "epoch": 0.23, + "learning_rate": 8.960722033540025e-06, + "loss": 0.8381, + "step": 3420 + }, + { + "epoch": 0.23, + "learning_rate": 8.960049441616199e-06, + "loss": 1.1, + "step": 3421 + }, + { + "epoch": 0.23, + "learning_rate": 8.959376657380993e-06, + "loss": 0.7616, + "step": 3422 + }, + { + "epoch": 0.23, + "learning_rate": 8.958703680867083e-06, + "loss": 0.7185, + "step": 3423 + }, + { + "epoch": 0.23, + "learning_rate": 8.95803051210715e-06, + "loss": 0.8652, + "step": 3424 + }, + { + "epoch": 0.23, + "learning_rate": 8.957357151133886e-06, + "loss": 0.7105, + "step": 3425 + }, + { + "epoch": 0.23, + "learning_rate": 8.956683597979987e-06, + "loss": 0.8968, + "step": 3426 + }, + { + "epoch": 0.23, + "learning_rate": 8.956009852678168e-06, + "loss": 0.568, + "step": 3427 + }, + { + "epoch": 0.23, + "learning_rate": 8.955335915261146e-06, + "loss": 0.6856, + "step": 3428 + }, + { + "epoch": 0.23, + "learning_rate": 8.954661785761648e-06, + "loss": 0.7244, + "step": 3429 + }, + { + "epoch": 0.23, + "learning_rate": 8.953987464212411e-06, + "loss": 1.0419, + "step": 3430 + }, + { + "epoch": 0.23, + "learning_rate": 8.953312950646185e-06, + "loss": 0.9157, + "step": 3431 + }, + { + "epoch": 0.23, + "learning_rate": 8.952638245095726e-06, + "loss": 0.9837, + "step": 3432 + }, + { + "epoch": 0.23, + "learning_rate": 8.951963347593797e-06, + "loss": 0.9067, + "step": 3433 + }, + { + "epoch": 0.23, + "learning_rate": 8.951288258173176e-06, + "loss": 1.0841, + "step": 3434 + }, + { + "epoch": 0.23, + "learning_rate": 8.950612976866643e-06, + "loss": 0.8252, + "step": 3435 + }, + { + "epoch": 0.23, + "learning_rate": 8.949937503706999e-06, + "loss": 0.8185, + "step": 3436 + }, + { + "epoch": 0.23, + "learning_rate": 8.94926183872704e-06, + "loss": 0.8552, + "step": 3437 + }, + { + "epoch": 0.23, + "learning_rate": 8.94858598195958e-06, + "loss": 0.9002, + "step": 3438 + }, + { + "epoch": 0.23, + "learning_rate": 8.947909933437442e-06, + "loss": 0.5804, + "step": 3439 + }, + { + "epoch": 0.23, + "learning_rate": 8.947233693193456e-06, + "loss": 0.9939, + "step": 3440 + }, + { + "epoch": 0.23, + "learning_rate": 8.94655726126046e-06, + "loss": 0.7831, + "step": 3441 + }, + { + "epoch": 0.23, + "learning_rate": 8.94588063767131e-06, + "loss": 0.6817, + "step": 3442 + }, + { + "epoch": 0.23, + "learning_rate": 8.945203822458856e-06, + "loss": 0.6625, + "step": 3443 + }, + { + "epoch": 0.23, + "learning_rate": 8.944526815655974e-06, + "loss": 0.8493, + "step": 3444 + }, + { + "epoch": 0.23, + "learning_rate": 8.943849617295536e-06, + "loss": 1.0122, + "step": 3445 + }, + { + "epoch": 0.23, + "learning_rate": 8.943172227410431e-06, + "loss": 0.874, + "step": 3446 + }, + { + "epoch": 0.23, + "learning_rate": 8.942494646033555e-06, + "loss": 0.5947, + "step": 3447 + }, + { + "epoch": 0.23, + "learning_rate": 8.941816873197812e-06, + "loss": 0.831, + "step": 3448 + }, + { + "epoch": 0.23, + "learning_rate": 8.941138908936118e-06, + "loss": 0.68, + "step": 3449 + }, + { + "epoch": 0.23, + "learning_rate": 8.940460753281397e-06, + "loss": 0.7856, + "step": 3450 + }, + { + "epoch": 0.23, + "learning_rate": 8.939782406266581e-06, + "loss": 0.8292, + "step": 3451 + }, + { + "epoch": 0.23, + "learning_rate": 8.939103867924614e-06, + "loss": 0.5291, + "step": 3452 + }, + { + "epoch": 0.23, + "learning_rate": 8.938425138288445e-06, + "loss": 0.8091, + "step": 3453 + }, + { + "epoch": 0.24, + "learning_rate": 8.93774621739104e-06, + "loss": 0.7559, + "step": 3454 + }, + { + "epoch": 0.24, + "learning_rate": 8.937067105265363e-06, + "loss": 0.679, + "step": 3455 + }, + { + "epoch": 0.24, + "learning_rate": 8.936387801944397e-06, + "loss": 0.7434, + "step": 3456 + }, + { + "epoch": 0.24, + "learning_rate": 8.935708307461134e-06, + "loss": 0.747, + "step": 3457 + }, + { + "epoch": 0.24, + "learning_rate": 8.935028621848566e-06, + "loss": 0.63, + "step": 3458 + }, + { + "epoch": 0.24, + "learning_rate": 8.934348745139703e-06, + "loss": 1.0661, + "step": 3459 + }, + { + "epoch": 0.24, + "learning_rate": 8.933668677367563e-06, + "loss": 0.8328, + "step": 3460 + }, + { + "epoch": 0.24, + "learning_rate": 8.932988418565174e-06, + "loss": 0.7653, + "step": 3461 + }, + { + "epoch": 0.24, + "learning_rate": 8.932307968765566e-06, + "loss": 0.939, + "step": 3462 + }, + { + "epoch": 0.24, + "learning_rate": 8.931627328001787e-06, + "loss": 0.8501, + "step": 3463 + }, + { + "epoch": 0.24, + "learning_rate": 8.930946496306889e-06, + "loss": 0.941, + "step": 3464 + }, + { + "epoch": 0.24, + "learning_rate": 8.930265473713939e-06, + "loss": 0.787, + "step": 3465 + }, + { + "epoch": 0.24, + "learning_rate": 8.929584260256004e-06, + "loss": 0.666, + "step": 3466 + }, + { + "epoch": 0.24, + "learning_rate": 8.928902855966169e-06, + "loss": 0.7742, + "step": 3467 + }, + { + "epoch": 0.24, + "learning_rate": 8.928221260877526e-06, + "loss": 0.6592, + "step": 3468 + }, + { + "epoch": 0.24, + "learning_rate": 8.92753947502317e-06, + "loss": 0.7052, + "step": 3469 + }, + { + "epoch": 0.24, + "learning_rate": 8.926857498436216e-06, + "loss": 0.9025, + "step": 3470 + }, + { + "epoch": 0.24, + "learning_rate": 8.926175331149783e-06, + "loss": 0.5727, + "step": 3471 + }, + { + "epoch": 0.24, + "learning_rate": 8.925492973196993e-06, + "loss": 0.4807, + "step": 3472 + }, + { + "epoch": 0.24, + "learning_rate": 8.924810424610988e-06, + "loss": 0.9234, + "step": 3473 + }, + { + "epoch": 0.24, + "learning_rate": 8.924127685424914e-06, + "loss": 0.7458, + "step": 3474 + }, + { + "epoch": 0.24, + "learning_rate": 8.923444755671926e-06, + "loss": 0.745, + "step": 3475 + }, + { + "epoch": 0.24, + "learning_rate": 8.92276163538519e-06, + "loss": 0.6697, + "step": 3476 + }, + { + "epoch": 0.24, + "learning_rate": 8.92207832459788e-06, + "loss": 0.8614, + "step": 3477 + }, + { + "epoch": 0.24, + "learning_rate": 8.921394823343178e-06, + "loss": 1.0822, + "step": 3478 + }, + { + "epoch": 0.24, + "learning_rate": 8.920711131654278e-06, + "loss": 0.8805, + "step": 3479 + }, + { + "epoch": 0.24, + "learning_rate": 8.920027249564382e-06, + "loss": 0.6023, + "step": 3480 + }, + { + "epoch": 0.24, + "learning_rate": 8.9193431771067e-06, + "loss": 0.7928, + "step": 3481 + }, + { + "epoch": 0.24, + "learning_rate": 8.918658914314458e-06, + "loss": 0.9441, + "step": 3482 + }, + { + "epoch": 0.24, + "learning_rate": 8.917974461220877e-06, + "loss": 0.7193, + "step": 3483 + }, + { + "epoch": 0.24, + "learning_rate": 8.917289817859203e-06, + "loss": 0.7078, + "step": 3484 + }, + { + "epoch": 0.24, + "learning_rate": 8.91660498426268e-06, + "loss": 0.6815, + "step": 3485 + }, + { + "epoch": 0.24, + "learning_rate": 8.91591996046457e-06, + "loss": 0.7402, + "step": 3486 + }, + { + "epoch": 0.24, + "learning_rate": 8.915234746498134e-06, + "loss": 0.9516, + "step": 3487 + }, + { + "epoch": 0.24, + "learning_rate": 8.914549342396652e-06, + "loss": 0.6275, + "step": 3488 + }, + { + "epoch": 0.24, + "learning_rate": 8.91386374819341e-06, + "loss": 0.774, + "step": 3489 + }, + { + "epoch": 0.24, + "learning_rate": 8.913177963921698e-06, + "loss": 0.7614, + "step": 3490 + }, + { + "epoch": 0.24, + "learning_rate": 8.912491989614823e-06, + "loss": 0.8392, + "step": 3491 + }, + { + "epoch": 0.24, + "learning_rate": 8.911805825306097e-06, + "loss": 0.587, + "step": 3492 + }, + { + "epoch": 0.24, + "learning_rate": 8.911119471028842e-06, + "loss": 0.7842, + "step": 3493 + }, + { + "epoch": 0.24, + "learning_rate": 8.910432926816391e-06, + "loss": 0.8194, + "step": 3494 + }, + { + "epoch": 0.24, + "learning_rate": 8.909746192702082e-06, + "loss": 0.7597, + "step": 3495 + }, + { + "epoch": 0.24, + "learning_rate": 8.909059268719267e-06, + "loss": 0.8685, + "step": 3496 + }, + { + "epoch": 0.24, + "learning_rate": 8.908372154901302e-06, + "loss": 0.6077, + "step": 3497 + }, + { + "epoch": 0.24, + "learning_rate": 8.90768485128156e-06, + "loss": 0.8347, + "step": 3498 + }, + { + "epoch": 0.24, + "learning_rate": 8.906997357893412e-06, + "loss": 1.0905, + "step": 3499 + }, + { + "epoch": 0.24, + "learning_rate": 8.90630967477025e-06, + "loss": 0.6488, + "step": 3500 + }, + { + "epoch": 0.24, + "learning_rate": 8.905621801945467e-06, + "loss": 0.8397, + "step": 3501 + }, + { + "epoch": 0.24, + "learning_rate": 8.90493373945247e-06, + "loss": 0.7683, + "step": 3502 + }, + { + "epoch": 0.24, + "learning_rate": 8.904245487324673e-06, + "loss": 0.9762, + "step": 3503 + }, + { + "epoch": 0.24, + "learning_rate": 8.903557045595499e-06, + "loss": 0.9147, + "step": 3504 + }, + { + "epoch": 0.24, + "learning_rate": 8.90286841429838e-06, + "loss": 0.7967, + "step": 3505 + }, + { + "epoch": 0.24, + "learning_rate": 8.902179593466758e-06, + "loss": 0.8561, + "step": 3506 + }, + { + "epoch": 0.24, + "learning_rate": 8.901490583134087e-06, + "loss": 0.8693, + "step": 3507 + }, + { + "epoch": 0.24, + "learning_rate": 8.900801383333822e-06, + "loss": 0.9927, + "step": 3508 + }, + { + "epoch": 0.24, + "learning_rate": 8.900111994099437e-06, + "loss": 0.7564, + "step": 3509 + }, + { + "epoch": 0.24, + "learning_rate": 8.899422415464409e-06, + "loss": 0.8694, + "step": 3510 + }, + { + "epoch": 0.24, + "learning_rate": 8.898732647462226e-06, + "loss": 0.8373, + "step": 3511 + }, + { + "epoch": 0.24, + "learning_rate": 8.898042690126387e-06, + "loss": 0.6385, + "step": 3512 + }, + { + "epoch": 0.24, + "learning_rate": 8.897352543490396e-06, + "loss": 0.61, + "step": 3513 + }, + { + "epoch": 0.24, + "learning_rate": 8.896662207587767e-06, + "loss": 0.5654, + "step": 3514 + }, + { + "epoch": 0.24, + "learning_rate": 8.89597168245203e-06, + "loss": 0.8764, + "step": 3515 + }, + { + "epoch": 0.24, + "learning_rate": 8.895280968116713e-06, + "loss": 0.7047, + "step": 3516 + }, + { + "epoch": 0.24, + "learning_rate": 8.894590064615363e-06, + "loss": 0.5908, + "step": 3517 + }, + { + "epoch": 0.24, + "learning_rate": 8.89389897198153e-06, + "loss": 0.7922, + "step": 3518 + }, + { + "epoch": 0.24, + "learning_rate": 8.893207690248776e-06, + "loss": 0.6506, + "step": 3519 + }, + { + "epoch": 0.24, + "learning_rate": 8.892516219450674e-06, + "loss": 0.7667, + "step": 3520 + }, + { + "epoch": 0.24, + "learning_rate": 8.891824559620801e-06, + "loss": 0.723, + "step": 3521 + }, + { + "epoch": 0.24, + "learning_rate": 8.891132710792747e-06, + "loss": 1.0714, + "step": 3522 + }, + { + "epoch": 0.24, + "learning_rate": 8.89044067300011e-06, + "loss": 0.7069, + "step": 3523 + }, + { + "epoch": 0.24, + "learning_rate": 8.889748446276497e-06, + "loss": 1.043, + "step": 3524 + }, + { + "epoch": 0.24, + "learning_rate": 8.889056030655526e-06, + "loss": 0.9177, + "step": 3525 + }, + { + "epoch": 0.24, + "learning_rate": 8.88836342617082e-06, + "loss": 0.7063, + "step": 3526 + }, + { + "epoch": 0.24, + "learning_rate": 8.887670632856016e-06, + "loss": 0.7205, + "step": 3527 + }, + { + "epoch": 0.24, + "learning_rate": 8.88697765074476e-06, + "loss": 0.5665, + "step": 3528 + }, + { + "epoch": 0.24, + "learning_rate": 8.8862844798707e-06, + "loss": 0.7842, + "step": 3529 + }, + { + "epoch": 0.24, + "learning_rate": 8.8855911202675e-06, + "loss": 0.5873, + "step": 3530 + }, + { + "epoch": 0.24, + "learning_rate": 8.884897571968835e-06, + "loss": 0.6037, + "step": 3531 + }, + { + "epoch": 0.24, + "learning_rate": 8.884203835008383e-06, + "loss": 0.8823, + "step": 3532 + }, + { + "epoch": 0.24, + "learning_rate": 8.883509909419831e-06, + "loss": 0.779, + "step": 3533 + }, + { + "epoch": 0.24, + "learning_rate": 8.882815795236886e-06, + "loss": 0.72, + "step": 3534 + }, + { + "epoch": 0.24, + "learning_rate": 8.882121492493248e-06, + "loss": 1.0199, + "step": 3535 + }, + { + "epoch": 0.24, + "learning_rate": 8.88142700122264e-06, + "loss": 0.5812, + "step": 3536 + }, + { + "epoch": 0.24, + "learning_rate": 8.880732321458785e-06, + "loss": 0.5918, + "step": 3537 + }, + { + "epoch": 0.24, + "learning_rate": 8.88003745323542e-06, + "loss": 0.8134, + "step": 3538 + }, + { + "epoch": 0.24, + "learning_rate": 8.87934239658629e-06, + "loss": 0.7708, + "step": 3539 + }, + { + "epoch": 0.24, + "learning_rate": 8.878647151545148e-06, + "loss": 1.2344, + "step": 3540 + }, + { + "epoch": 0.24, + "learning_rate": 8.877951718145757e-06, + "loss": 1.0034, + "step": 3541 + }, + { + "epoch": 0.24, + "learning_rate": 8.87725609642189e-06, + "loss": 0.9421, + "step": 3542 + }, + { + "epoch": 0.24, + "learning_rate": 8.87656028640733e-06, + "loss": 1.0379, + "step": 3543 + }, + { + "epoch": 0.24, + "learning_rate": 8.875864288135864e-06, + "loss": 1.0368, + "step": 3544 + }, + { + "epoch": 0.24, + "learning_rate": 8.875168101641294e-06, + "loss": 0.7116, + "step": 3545 + }, + { + "epoch": 0.24, + "learning_rate": 8.87447172695743e-06, + "loss": 0.8117, + "step": 3546 + }, + { + "epoch": 0.24, + "learning_rate": 8.873775164118086e-06, + "loss": 0.7391, + "step": 3547 + }, + { + "epoch": 0.24, + "learning_rate": 8.873078413157094e-06, + "loss": 0.6867, + "step": 3548 + }, + { + "epoch": 0.24, + "learning_rate": 8.872381474108284e-06, + "loss": 0.8448, + "step": 3549 + }, + { + "epoch": 0.24, + "learning_rate": 8.871684347005508e-06, + "loss": 0.8203, + "step": 3550 + }, + { + "epoch": 0.24, + "learning_rate": 8.870987031882616e-06, + "loss": 0.6987, + "step": 3551 + }, + { + "epoch": 0.24, + "learning_rate": 8.870289528773474e-06, + "loss": 0.6772, + "step": 3552 + }, + { + "epoch": 0.24, + "learning_rate": 8.869591837711952e-06, + "loss": 0.807, + "step": 3553 + }, + { + "epoch": 0.24, + "learning_rate": 8.868893958731937e-06, + "loss": 0.6977, + "step": 3554 + }, + { + "epoch": 0.24, + "learning_rate": 8.868195891867315e-06, + "loss": 0.6965, + "step": 3555 + }, + { + "epoch": 0.24, + "learning_rate": 8.867497637151987e-06, + "loss": 0.9165, + "step": 3556 + }, + { + "epoch": 0.24, + "learning_rate": 8.866799194619864e-06, + "loss": 0.8168, + "step": 3557 + }, + { + "epoch": 0.24, + "learning_rate": 8.866100564304862e-06, + "loss": 0.8998, + "step": 3558 + }, + { + "epoch": 0.24, + "learning_rate": 8.865401746240913e-06, + "loss": 0.8156, + "step": 3559 + }, + { + "epoch": 0.24, + "learning_rate": 8.864702740461947e-06, + "loss": 0.9343, + "step": 3560 + }, + { + "epoch": 0.24, + "learning_rate": 8.864003547001916e-06, + "loss": 0.8518, + "step": 3561 + }, + { + "epoch": 0.24, + "learning_rate": 8.863304165894774e-06, + "loss": 0.6846, + "step": 3562 + }, + { + "epoch": 0.24, + "learning_rate": 8.862604597174477e-06, + "loss": 0.6905, + "step": 3563 + }, + { + "epoch": 0.24, + "learning_rate": 8.86190484087501e-06, + "loss": 0.953, + "step": 3564 + }, + { + "epoch": 0.24, + "learning_rate": 8.861204897030346e-06, + "loss": 0.807, + "step": 3565 + }, + { + "epoch": 0.24, + "learning_rate": 8.86050476567448e-06, + "loss": 0.7143, + "step": 3566 + }, + { + "epoch": 0.24, + "learning_rate": 8.859804446841413e-06, + "loss": 0.7354, + "step": 3567 + }, + { + "epoch": 0.24, + "learning_rate": 8.859103940565154e-06, + "loss": 0.6392, + "step": 3568 + }, + { + "epoch": 0.24, + "learning_rate": 8.85840324687972e-06, + "loss": 0.7781, + "step": 3569 + }, + { + "epoch": 0.24, + "learning_rate": 8.857702365819141e-06, + "loss": 0.9718, + "step": 3570 + }, + { + "epoch": 0.24, + "learning_rate": 8.857001297417452e-06, + "loss": 0.7385, + "step": 3571 + }, + { + "epoch": 0.24, + "learning_rate": 8.8563000417087e-06, + "loss": 0.8832, + "step": 3572 + }, + { + "epoch": 0.24, + "learning_rate": 8.85559859872694e-06, + "loss": 0.5637, + "step": 3573 + }, + { + "epoch": 0.24, + "learning_rate": 8.854896968506233e-06, + "loss": 0.6334, + "step": 3574 + }, + { + "epoch": 0.24, + "learning_rate": 8.854195151080656e-06, + "loss": 0.984, + "step": 3575 + }, + { + "epoch": 0.24, + "learning_rate": 8.85349314648429e-06, + "loss": 0.6126, + "step": 3576 + }, + { + "epoch": 0.24, + "learning_rate": 8.852790954751229e-06, + "loss": 0.8921, + "step": 3577 + }, + { + "epoch": 0.24, + "learning_rate": 8.852088575915568e-06, + "loss": 0.7543, + "step": 3578 + }, + { + "epoch": 0.24, + "learning_rate": 8.851386010011421e-06, + "loss": 0.536, + "step": 3579 + }, + { + "epoch": 0.24, + "learning_rate": 8.850683257072904e-06, + "loss": 0.6033, + "step": 3580 + }, + { + "epoch": 0.24, + "learning_rate": 8.849980317134145e-06, + "loss": 0.7212, + "step": 3581 + }, + { + "epoch": 0.24, + "learning_rate": 8.849277190229284e-06, + "loss": 0.87, + "step": 3582 + }, + { + "epoch": 0.24, + "learning_rate": 8.84857387639246e-06, + "loss": 0.7097, + "step": 3583 + }, + { + "epoch": 0.24, + "learning_rate": 8.847870375657837e-06, + "loss": 0.7508, + "step": 3584 + }, + { + "epoch": 0.24, + "learning_rate": 8.847166688059572e-06, + "loss": 0.7472, + "step": 3585 + }, + { + "epoch": 0.24, + "learning_rate": 8.846462813631841e-06, + "loss": 0.7666, + "step": 3586 + }, + { + "epoch": 0.24, + "learning_rate": 8.845758752408826e-06, + "loss": 0.7138, + "step": 3587 + }, + { + "epoch": 0.24, + "learning_rate": 8.845054504424717e-06, + "loss": 0.6643, + "step": 3588 + }, + { + "epoch": 0.24, + "learning_rate": 8.844350069713716e-06, + "loss": 0.681, + "step": 3589 + }, + { + "epoch": 0.24, + "learning_rate": 8.84364544831003e-06, + "loss": 0.6286, + "step": 3590 + }, + { + "epoch": 0.24, + "learning_rate": 8.84294064024788e-06, + "loss": 0.7362, + "step": 3591 + }, + { + "epoch": 0.24, + "learning_rate": 8.842235645561492e-06, + "loss": 0.7976, + "step": 3592 + }, + { + "epoch": 0.24, + "learning_rate": 8.841530464285105e-06, + "loss": 0.5242, + "step": 3593 + }, + { + "epoch": 0.24, + "learning_rate": 8.84082509645296e-06, + "loss": 0.7862, + "step": 3594 + }, + { + "epoch": 0.24, + "learning_rate": 8.840119542099315e-06, + "loss": 0.8005, + "step": 3595 + }, + { + "epoch": 0.24, + "learning_rate": 8.839413801258434e-06, + "loss": 0.9428, + "step": 3596 + }, + { + "epoch": 0.24, + "learning_rate": 8.838707873964587e-06, + "loss": 0.4965, + "step": 3597 + }, + { + "epoch": 0.24, + "learning_rate": 8.838001760252059e-06, + "loss": 0.9065, + "step": 3598 + }, + { + "epoch": 0.24, + "learning_rate": 8.83729546015514e-06, + "loss": 0.768, + "step": 3599 + }, + { + "epoch": 0.24, + "learning_rate": 8.836588973708129e-06, + "loss": 0.8205, + "step": 3600 + }, + { + "epoch": 0.25, + "learning_rate": 8.835882300945336e-06, + "loss": 0.6039, + "step": 3601 + }, + { + "epoch": 0.25, + "learning_rate": 8.835175441901078e-06, + "loss": 0.9413, + "step": 3602 + }, + { + "epoch": 0.25, + "learning_rate": 8.834468396609683e-06, + "loss": 0.8135, + "step": 3603 + }, + { + "epoch": 0.25, + "learning_rate": 8.833761165105488e-06, + "loss": 0.9643, + "step": 3604 + }, + { + "epoch": 0.25, + "learning_rate": 8.833053747422837e-06, + "loss": 0.7238, + "step": 3605 + }, + { + "epoch": 0.25, + "learning_rate": 8.832346143596082e-06, + "loss": 0.8512, + "step": 3606 + }, + { + "epoch": 0.25, + "learning_rate": 8.83163835365959e-06, + "loss": 0.6574, + "step": 3607 + }, + { + "epoch": 0.25, + "learning_rate": 8.830930377647733e-06, + "loss": 0.9369, + "step": 3608 + }, + { + "epoch": 0.25, + "learning_rate": 8.83022221559489e-06, + "loss": 0.7192, + "step": 3609 + }, + { + "epoch": 0.25, + "learning_rate": 8.829513867535454e-06, + "loss": 0.6346, + "step": 3610 + }, + { + "epoch": 0.25, + "learning_rate": 8.828805333503822e-06, + "loss": 0.8723, + "step": 3611 + }, + { + "epoch": 0.25, + "learning_rate": 8.828096613534405e-06, + "loss": 0.6541, + "step": 3612 + }, + { + "epoch": 0.25, + "learning_rate": 8.827387707661617e-06, + "loss": 0.7863, + "step": 3613 + }, + { + "epoch": 0.25, + "learning_rate": 8.826678615919889e-06, + "loss": 0.7002, + "step": 3614 + }, + { + "epoch": 0.25, + "learning_rate": 8.825969338343652e-06, + "loss": 0.7666, + "step": 3615 + }, + { + "epoch": 0.25, + "learning_rate": 8.825259874967353e-06, + "loss": 0.9006, + "step": 3616 + }, + { + "epoch": 0.25, + "learning_rate": 8.824550225825445e-06, + "loss": 0.6919, + "step": 3617 + }, + { + "epoch": 0.25, + "learning_rate": 8.82384039095239e-06, + "loss": 0.6791, + "step": 3618 + }, + { + "epoch": 0.25, + "learning_rate": 8.823130370382662e-06, + "loss": 0.6641, + "step": 3619 + }, + { + "epoch": 0.25, + "learning_rate": 8.82242016415074e-06, + "loss": 0.8727, + "step": 3620 + }, + { + "epoch": 0.25, + "learning_rate": 8.821709772291113e-06, + "loss": 0.5844, + "step": 3621 + }, + { + "epoch": 0.25, + "learning_rate": 8.82099919483828e-06, + "loss": 0.6591, + "step": 3622 + }, + { + "epoch": 0.25, + "learning_rate": 8.820288431826751e-06, + "loss": 0.5858, + "step": 3623 + }, + { + "epoch": 0.25, + "learning_rate": 8.819577483291038e-06, + "loss": 0.9407, + "step": 3624 + }, + { + "epoch": 0.25, + "learning_rate": 8.81886634926567e-06, + "loss": 0.7105, + "step": 3625 + }, + { + "epoch": 0.25, + "learning_rate": 8.818155029785183e-06, + "loss": 0.8361, + "step": 3626 + }, + { + "epoch": 0.25, + "learning_rate": 8.817443524884119e-06, + "loss": 0.8648, + "step": 3627 + }, + { + "epoch": 0.25, + "learning_rate": 8.81673183459703e-06, + "loss": 0.8624, + "step": 3628 + }, + { + "epoch": 0.25, + "learning_rate": 8.816019958958477e-06, + "loss": 0.9501, + "step": 3629 + }, + { + "epoch": 0.25, + "learning_rate": 8.815307898003032e-06, + "loss": 0.8722, + "step": 3630 + }, + { + "epoch": 0.25, + "learning_rate": 8.814595651765276e-06, + "loss": 0.6757, + "step": 3631 + }, + { + "epoch": 0.25, + "learning_rate": 8.813883220279797e-06, + "loss": 0.8151, + "step": 3632 + }, + { + "epoch": 0.25, + "learning_rate": 8.81317060358119e-06, + "loss": 0.7776, + "step": 3633 + }, + { + "epoch": 0.25, + "learning_rate": 8.812457801704067e-06, + "loss": 0.8323, + "step": 3634 + }, + { + "epoch": 0.25, + "learning_rate": 8.811744814683039e-06, + "loss": 0.9094, + "step": 3635 + }, + { + "epoch": 0.25, + "learning_rate": 8.811031642552732e-06, + "loss": 0.7697, + "step": 3636 + }, + { + "epoch": 0.25, + "learning_rate": 8.81031828534778e-06, + "loss": 0.7022, + "step": 3637 + }, + { + "epoch": 0.25, + "learning_rate": 8.809604743102828e-06, + "loss": 0.7888, + "step": 3638 + }, + { + "epoch": 0.25, + "learning_rate": 8.808891015852523e-06, + "loss": 0.8378, + "step": 3639 + }, + { + "epoch": 0.25, + "learning_rate": 8.808177103631529e-06, + "loss": 0.7302, + "step": 3640 + }, + { + "epoch": 0.25, + "learning_rate": 8.807463006474514e-06, + "loss": 0.8384, + "step": 3641 + }, + { + "epoch": 0.25, + "learning_rate": 8.806748724416156e-06, + "loss": 0.758, + "step": 3642 + }, + { + "epoch": 0.25, + "learning_rate": 8.806034257491148e-06, + "loss": 0.8887, + "step": 3643 + }, + { + "epoch": 0.25, + "learning_rate": 8.805319605734178e-06, + "loss": 0.7686, + "step": 3644 + }, + { + "epoch": 0.25, + "learning_rate": 8.804604769179958e-06, + "loss": 0.4305, + "step": 3645 + }, + { + "epoch": 0.25, + "learning_rate": 8.803889747863201e-06, + "loss": 0.9857, + "step": 3646 + }, + { + "epoch": 0.25, + "learning_rate": 8.803174541818629e-06, + "loss": 0.5489, + "step": 3647 + }, + { + "epoch": 0.25, + "learning_rate": 8.802459151080976e-06, + "loss": 0.7684, + "step": 3648 + }, + { + "epoch": 0.25, + "learning_rate": 8.80174357568498e-06, + "loss": 0.9301, + "step": 3649 + }, + { + "epoch": 0.25, + "learning_rate": 8.801027815665398e-06, + "loss": 1.1709, + "step": 3650 + }, + { + "epoch": 0.25, + "learning_rate": 8.800311871056983e-06, + "loss": 0.8655, + "step": 3651 + }, + { + "epoch": 0.25, + "learning_rate": 8.799595741894508e-06, + "loss": 0.7452, + "step": 3652 + }, + { + "epoch": 0.25, + "learning_rate": 8.798879428212748e-06, + "loss": 0.8015, + "step": 3653 + }, + { + "epoch": 0.25, + "learning_rate": 8.798162930046488e-06, + "loss": 0.647, + "step": 3654 + }, + { + "epoch": 0.25, + "learning_rate": 8.797446247430525e-06, + "loss": 0.7784, + "step": 3655 + }, + { + "epoch": 0.25, + "learning_rate": 8.796729380399665e-06, + "loss": 0.8288, + "step": 3656 + }, + { + "epoch": 0.25, + "learning_rate": 8.796012328988716e-06, + "loss": 0.7352, + "step": 3657 + }, + { + "epoch": 0.25, + "learning_rate": 8.795295093232505e-06, + "loss": 1.1749, + "step": 3658 + }, + { + "epoch": 0.25, + "learning_rate": 8.794577673165861e-06, + "loss": 0.9927, + "step": 3659 + }, + { + "epoch": 0.25, + "learning_rate": 8.793860068823624e-06, + "loss": 0.7668, + "step": 3660 + }, + { + "epoch": 0.25, + "learning_rate": 8.793142280240643e-06, + "loss": 0.8439, + "step": 3661 + }, + { + "epoch": 0.25, + "learning_rate": 8.792424307451775e-06, + "loss": 0.8278, + "step": 3662 + }, + { + "epoch": 0.25, + "learning_rate": 8.791706150491887e-06, + "loss": 0.625, + "step": 3663 + }, + { + "epoch": 0.25, + "learning_rate": 8.790987809395857e-06, + "loss": 0.6971, + "step": 3664 + }, + { + "epoch": 0.25, + "learning_rate": 8.790269284198568e-06, + "loss": 0.7124, + "step": 3665 + }, + { + "epoch": 0.25, + "learning_rate": 8.789550574934914e-06, + "loss": 0.6923, + "step": 3666 + }, + { + "epoch": 0.25, + "learning_rate": 8.788831681639798e-06, + "loss": 0.9911, + "step": 3667 + }, + { + "epoch": 0.25, + "learning_rate": 8.788112604348129e-06, + "loss": 0.7725, + "step": 3668 + }, + { + "epoch": 0.25, + "learning_rate": 8.78739334309483e-06, + "loss": 0.743, + "step": 3669 + }, + { + "epoch": 0.25, + "learning_rate": 8.786673897914831e-06, + "loss": 0.6978, + "step": 3670 + }, + { + "epoch": 0.25, + "learning_rate": 8.785954268843066e-06, + "loss": 0.6862, + "step": 3671 + }, + { + "epoch": 0.25, + "learning_rate": 8.78523445591449e-06, + "loss": 0.8729, + "step": 3672 + }, + { + "epoch": 0.25, + "learning_rate": 8.78451445916405e-06, + "loss": 0.8451, + "step": 3673 + }, + { + "epoch": 0.25, + "learning_rate": 8.783794278626718e-06, + "loss": 0.6909, + "step": 3674 + }, + { + "epoch": 0.25, + "learning_rate": 8.783073914337465e-06, + "loss": 0.7156, + "step": 3675 + }, + { + "epoch": 0.25, + "learning_rate": 8.782353366331276e-06, + "loss": 1.0054, + "step": 3676 + }, + { + "epoch": 0.25, + "learning_rate": 8.78163263464314e-06, + "loss": 0.7226, + "step": 3677 + }, + { + "epoch": 0.25, + "learning_rate": 8.780911719308059e-06, + "loss": 1.091, + "step": 3678 + }, + { + "epoch": 0.25, + "learning_rate": 8.780190620361044e-06, + "loss": 0.7533, + "step": 3679 + }, + { + "epoch": 0.25, + "learning_rate": 8.779469337837112e-06, + "loss": 0.6699, + "step": 3680 + }, + { + "epoch": 0.25, + "learning_rate": 8.778747871771293e-06, + "loss": 0.8616, + "step": 3681 + }, + { + "epoch": 0.25, + "learning_rate": 8.778026222198618e-06, + "loss": 0.8501, + "step": 3682 + }, + { + "epoch": 0.25, + "learning_rate": 8.77730438915414e-06, + "loss": 0.8045, + "step": 3683 + }, + { + "epoch": 0.25, + "learning_rate": 8.776582372672908e-06, + "loss": 0.7506, + "step": 3684 + }, + { + "epoch": 0.25, + "learning_rate": 8.775860172789985e-06, + "loss": 0.6769, + "step": 3685 + }, + { + "epoch": 0.25, + "learning_rate": 8.775137789540447e-06, + "loss": 0.7837, + "step": 3686 + }, + { + "epoch": 0.25, + "learning_rate": 8.774415222959371e-06, + "loss": 0.7369, + "step": 3687 + }, + { + "epoch": 0.25, + "learning_rate": 8.77369247308185e-06, + "loss": 0.8954, + "step": 3688 + }, + { + "epoch": 0.25, + "learning_rate": 8.772969539942981e-06, + "loss": 0.5817, + "step": 3689 + }, + { + "epoch": 0.25, + "learning_rate": 8.772246423577871e-06, + "loss": 0.9358, + "step": 3690 + }, + { + "epoch": 0.25, + "learning_rate": 8.77152312402164e-06, + "loss": 0.6203, + "step": 3691 + }, + { + "epoch": 0.25, + "learning_rate": 8.770799641309408e-06, + "loss": 0.8863, + "step": 3692 + }, + { + "epoch": 0.25, + "learning_rate": 8.770075975476316e-06, + "loss": 0.8115, + "step": 3693 + }, + { + "epoch": 0.25, + "learning_rate": 8.7693521265575e-06, + "loss": 1.1272, + "step": 3694 + }, + { + "epoch": 0.25, + "learning_rate": 8.76862809458812e-06, + "loss": 0.8836, + "step": 3695 + }, + { + "epoch": 0.25, + "learning_rate": 8.76790387960333e-06, + "loss": 0.742, + "step": 3696 + }, + { + "epoch": 0.25, + "learning_rate": 8.767179481638303e-06, + "loss": 0.8903, + "step": 3697 + }, + { + "epoch": 0.25, + "learning_rate": 8.766454900728221e-06, + "loss": 0.7385, + "step": 3698 + }, + { + "epoch": 0.25, + "learning_rate": 8.765730136908266e-06, + "loss": 0.9829, + "step": 3699 + }, + { + "epoch": 0.25, + "learning_rate": 8.76500519021364e-06, + "loss": 0.9556, + "step": 3700 + }, + { + "epoch": 0.25, + "learning_rate": 8.764280060679543e-06, + "loss": 0.8108, + "step": 3701 + }, + { + "epoch": 0.25, + "learning_rate": 8.763554748341194e-06, + "loss": 0.9563, + "step": 3702 + }, + { + "epoch": 0.25, + "learning_rate": 8.762829253233813e-06, + "loss": 0.8434, + "step": 3703 + }, + { + "epoch": 0.25, + "learning_rate": 8.762103575392634e-06, + "loss": 0.47, + "step": 3704 + }, + { + "epoch": 0.25, + "learning_rate": 8.7613777148529e-06, + "loss": 0.6963, + "step": 3705 + }, + { + "epoch": 0.25, + "learning_rate": 8.760651671649854e-06, + "loss": 0.8227, + "step": 3706 + }, + { + "epoch": 0.25, + "learning_rate": 8.759925445818762e-06, + "loss": 0.7831, + "step": 3707 + }, + { + "epoch": 0.25, + "learning_rate": 8.759199037394888e-06, + "loss": 0.9558, + "step": 3708 + }, + { + "epoch": 0.25, + "learning_rate": 8.758472446413508e-06, + "loss": 0.745, + "step": 3709 + }, + { + "epoch": 0.25, + "learning_rate": 8.757745672909911e-06, + "loss": 0.9376, + "step": 3710 + }, + { + "epoch": 0.25, + "learning_rate": 8.757018716919388e-06, + "loss": 0.7164, + "step": 3711 + }, + { + "epoch": 0.25, + "learning_rate": 8.756291578477243e-06, + "loss": 0.6363, + "step": 3712 + }, + { + "epoch": 0.25, + "learning_rate": 8.755564257618787e-06, + "loss": 0.6835, + "step": 3713 + }, + { + "epoch": 0.25, + "learning_rate": 8.754836754379342e-06, + "loss": 0.6555, + "step": 3714 + }, + { + "epoch": 0.25, + "learning_rate": 8.754109068794237e-06, + "loss": 0.7462, + "step": 3715 + }, + { + "epoch": 0.25, + "learning_rate": 8.753381200898812e-06, + "loss": 0.995, + "step": 3716 + }, + { + "epoch": 0.25, + "learning_rate": 8.752653150728412e-06, + "loss": 0.8769, + "step": 3717 + }, + { + "epoch": 0.25, + "learning_rate": 8.751924918318394e-06, + "loss": 0.5681, + "step": 3718 + }, + { + "epoch": 0.25, + "learning_rate": 8.751196503704123e-06, + "loss": 0.8188, + "step": 3719 + }, + { + "epoch": 0.25, + "learning_rate": 8.750467906920974e-06, + "loss": 0.8172, + "step": 3720 + }, + { + "epoch": 0.25, + "learning_rate": 8.749739128004329e-06, + "loss": 0.8221, + "step": 3721 + }, + { + "epoch": 0.25, + "learning_rate": 8.74901016698958e-06, + "loss": 0.6874, + "step": 3722 + }, + { + "epoch": 0.25, + "learning_rate": 8.748281023912127e-06, + "loss": 0.6388, + "step": 3723 + }, + { + "epoch": 0.25, + "learning_rate": 8.747551698807379e-06, + "loss": 0.6153, + "step": 3724 + }, + { + "epoch": 0.25, + "learning_rate": 8.746822191710755e-06, + "loss": 0.6729, + "step": 3725 + }, + { + "epoch": 0.25, + "learning_rate": 8.746092502657681e-06, + "loss": 0.8655, + "step": 3726 + }, + { + "epoch": 0.25, + "learning_rate": 8.745362631683594e-06, + "loss": 0.8347, + "step": 3727 + }, + { + "epoch": 0.25, + "learning_rate": 8.744632578823936e-06, + "loss": 0.8483, + "step": 3728 + }, + { + "epoch": 0.25, + "learning_rate": 8.743902344114163e-06, + "loss": 0.7891, + "step": 3729 + }, + { + "epoch": 0.25, + "learning_rate": 8.743171927589738e-06, + "loss": 0.6123, + "step": 3730 + }, + { + "epoch": 0.25, + "learning_rate": 8.74244132928613e-06, + "loss": 0.773, + "step": 3731 + }, + { + "epoch": 0.25, + "learning_rate": 8.741710549238818e-06, + "loss": 0.8434, + "step": 3732 + }, + { + "epoch": 0.25, + "learning_rate": 8.740979587483296e-06, + "loss": 0.9018, + "step": 3733 + }, + { + "epoch": 0.25, + "learning_rate": 8.740248444055055e-06, + "loss": 0.8251, + "step": 3734 + }, + { + "epoch": 0.25, + "learning_rate": 8.739517118989606e-06, + "loss": 0.9297, + "step": 3735 + }, + { + "epoch": 0.25, + "learning_rate": 8.738785612322463e-06, + "loss": 0.8221, + "step": 3736 + }, + { + "epoch": 0.25, + "learning_rate": 8.738053924089149e-06, + "loss": 0.706, + "step": 3737 + }, + { + "epoch": 0.25, + "learning_rate": 8.737322054325197e-06, + "loss": 0.6082, + "step": 3738 + }, + { + "epoch": 0.25, + "learning_rate": 8.73659000306615e-06, + "loss": 1.0135, + "step": 3739 + }, + { + "epoch": 0.25, + "learning_rate": 8.735857770347558e-06, + "loss": 0.5797, + "step": 3740 + }, + { + "epoch": 0.25, + "learning_rate": 8.735125356204982e-06, + "loss": 0.8519, + "step": 3741 + }, + { + "epoch": 0.25, + "learning_rate": 8.734392760673985e-06, + "loss": 0.8077, + "step": 3742 + }, + { + "epoch": 0.25, + "learning_rate": 8.73365998379015e-06, + "loss": 0.6406, + "step": 3743 + }, + { + "epoch": 0.25, + "learning_rate": 8.732927025589058e-06, + "loss": 0.9645, + "step": 3744 + }, + { + "epoch": 0.25, + "learning_rate": 8.732193886106308e-06, + "loss": 0.6558, + "step": 3745 + }, + { + "epoch": 0.25, + "learning_rate": 8.731460565377499e-06, + "loss": 1.204, + "step": 3746 + }, + { + "epoch": 0.25, + "learning_rate": 8.730727063438246e-06, + "loss": 0.9336, + "step": 3747 + }, + { + "epoch": 0.26, + "learning_rate": 8.729993380324168e-06, + "loss": 0.7056, + "step": 3748 + }, + { + "epoch": 0.26, + "learning_rate": 8.729259516070899e-06, + "loss": 0.7348, + "step": 3749 + }, + { + "epoch": 0.26, + "learning_rate": 8.72852547071407e-06, + "loss": 0.6993, + "step": 3750 + }, + { + "epoch": 0.26, + "learning_rate": 8.727791244289335e-06, + "loss": 0.8755, + "step": 3751 + }, + { + "epoch": 0.26, + "learning_rate": 8.727056836832347e-06, + "loss": 1.0313, + "step": 3752 + }, + { + "epoch": 0.26, + "learning_rate": 8.726322248378775e-06, + "loss": 0.9901, + "step": 3753 + }, + { + "epoch": 0.26, + "learning_rate": 8.725587478964286e-06, + "loss": 0.742, + "step": 3754 + }, + { + "epoch": 0.26, + "learning_rate": 8.724852528624567e-06, + "loss": 0.6191, + "step": 3755 + }, + { + "epoch": 0.26, + "learning_rate": 8.724117397395309e-06, + "loss": 0.909, + "step": 3756 + }, + { + "epoch": 0.26, + "learning_rate": 8.723382085312212e-06, + "loss": 0.8252, + "step": 3757 + }, + { + "epoch": 0.26, + "learning_rate": 8.722646592410984e-06, + "loss": 0.7638, + "step": 3758 + }, + { + "epoch": 0.26, + "learning_rate": 8.721910918727342e-06, + "loss": 0.8276, + "step": 3759 + }, + { + "epoch": 0.26, + "learning_rate": 8.721175064297014e-06, + "loss": 0.7421, + "step": 3760 + }, + { + "epoch": 0.26, + "learning_rate": 8.720439029155733e-06, + "loss": 0.9497, + "step": 3761 + }, + { + "epoch": 0.26, + "learning_rate": 8.719702813339248e-06, + "loss": 0.7387, + "step": 3762 + }, + { + "epoch": 0.26, + "learning_rate": 8.718966416883307e-06, + "loss": 0.7317, + "step": 3763 + }, + { + "epoch": 0.26, + "learning_rate": 8.718229839823672e-06, + "loss": 0.8058, + "step": 3764 + }, + { + "epoch": 0.26, + "learning_rate": 8.717493082196114e-06, + "loss": 0.6606, + "step": 3765 + }, + { + "epoch": 0.26, + "learning_rate": 8.716756144036413e-06, + "loss": 0.8252, + "step": 3766 + }, + { + "epoch": 0.26, + "learning_rate": 8.716019025380356e-06, + "loss": 0.8673, + "step": 3767 + }, + { + "epoch": 0.26, + "learning_rate": 8.715281726263741e-06, + "loss": 0.865, + "step": 3768 + }, + { + "epoch": 0.26, + "learning_rate": 8.714544246722369e-06, + "loss": 0.5946, + "step": 3769 + }, + { + "epoch": 0.26, + "learning_rate": 8.71380658679206e-06, + "loss": 0.8007, + "step": 3770 + }, + { + "epoch": 0.26, + "learning_rate": 8.713068746508633e-06, + "loss": 1.0691, + "step": 3771 + }, + { + "epoch": 0.26, + "learning_rate": 8.71233072590792e-06, + "loss": 0.617, + "step": 3772 + }, + { + "epoch": 0.26, + "learning_rate": 8.711592525025762e-06, + "loss": 0.5793, + "step": 3773 + }, + { + "epoch": 0.26, + "learning_rate": 8.710854143898008e-06, + "loss": 0.6926, + "step": 3774 + }, + { + "epoch": 0.26, + "learning_rate": 8.710115582560519e-06, + "loss": 0.9971, + "step": 3775 + }, + { + "epoch": 0.26, + "learning_rate": 8.709376841049157e-06, + "loss": 0.7195, + "step": 3776 + }, + { + "epoch": 0.26, + "learning_rate": 8.708637919399798e-06, + "loss": 1.0714, + "step": 3777 + }, + { + "epoch": 0.26, + "learning_rate": 8.707898817648329e-06, + "loss": 0.7932, + "step": 3778 + }, + { + "epoch": 0.26, + "learning_rate": 8.70715953583064e-06, + "loss": 0.5052, + "step": 3779 + }, + { + "epoch": 0.26, + "learning_rate": 8.706420073982636e-06, + "loss": 0.8735, + "step": 3780 + }, + { + "epoch": 0.26, + "learning_rate": 8.705680432140225e-06, + "loss": 0.7077, + "step": 3781 + }, + { + "epoch": 0.26, + "learning_rate": 8.704940610339326e-06, + "loss": 0.5577, + "step": 3782 + }, + { + "epoch": 0.26, + "learning_rate": 8.704200608615865e-06, + "loss": 0.5493, + "step": 3783 + }, + { + "epoch": 0.26, + "learning_rate": 8.703460427005783e-06, + "loss": 0.5124, + "step": 3784 + }, + { + "epoch": 0.26, + "learning_rate": 8.702720065545024e-06, + "loss": 0.7964, + "step": 3785 + }, + { + "epoch": 0.26, + "learning_rate": 8.70197952426954e-06, + "loss": 0.8935, + "step": 3786 + }, + { + "epoch": 0.26, + "learning_rate": 8.701238803215296e-06, + "loss": 0.9042, + "step": 3787 + }, + { + "epoch": 0.26, + "learning_rate": 8.700497902418264e-06, + "loss": 0.734, + "step": 3788 + }, + { + "epoch": 0.26, + "learning_rate": 8.69975682191442e-06, + "loss": 0.8872, + "step": 3789 + }, + { + "epoch": 0.26, + "learning_rate": 8.699015561739757e-06, + "loss": 0.8657, + "step": 3790 + }, + { + "epoch": 0.26, + "learning_rate": 8.698274121930272e-06, + "loss": 1.0523, + "step": 3791 + }, + { + "epoch": 0.26, + "learning_rate": 8.697532502521973e-06, + "loss": 0.8712, + "step": 3792 + }, + { + "epoch": 0.26, + "learning_rate": 8.69679070355087e-06, + "loss": 0.7408, + "step": 3793 + }, + { + "epoch": 0.26, + "learning_rate": 8.696048725052992e-06, + "loss": 0.8942, + "step": 3794 + }, + { + "epoch": 0.26, + "learning_rate": 8.69530656706437e-06, + "loss": 0.8514, + "step": 3795 + }, + { + "epoch": 0.26, + "learning_rate": 8.694564229621045e-06, + "loss": 0.7029, + "step": 3796 + }, + { + "epoch": 0.26, + "learning_rate": 8.693821712759067e-06, + "loss": 0.4683, + "step": 3797 + }, + { + "epoch": 0.26, + "learning_rate": 8.693079016514497e-06, + "loss": 0.7149, + "step": 3798 + }, + { + "epoch": 0.26, + "learning_rate": 8.692336140923397e-06, + "loss": 0.8966, + "step": 3799 + }, + { + "epoch": 0.26, + "learning_rate": 8.691593086021848e-06, + "loss": 0.7696, + "step": 3800 + }, + { + "epoch": 0.26, + "learning_rate": 8.690849851845933e-06, + "loss": 0.7259, + "step": 3801 + }, + { + "epoch": 0.26, + "learning_rate": 8.690106438431746e-06, + "loss": 0.5387, + "step": 3802 + }, + { + "epoch": 0.26, + "learning_rate": 8.689362845815393e-06, + "loss": 0.9414, + "step": 3803 + }, + { + "epoch": 0.26, + "learning_rate": 8.688619074032977e-06, + "loss": 0.7012, + "step": 3804 + }, + { + "epoch": 0.26, + "learning_rate": 8.687875123120623e-06, + "loss": 0.7596, + "step": 3805 + }, + { + "epoch": 0.26, + "learning_rate": 8.687130993114459e-06, + "loss": 0.8244, + "step": 3806 + }, + { + "epoch": 0.26, + "learning_rate": 8.68638668405062e-06, + "loss": 0.7412, + "step": 3807 + }, + { + "epoch": 0.26, + "learning_rate": 8.685642195965255e-06, + "loss": 1.0375, + "step": 3808 + }, + { + "epoch": 0.26, + "learning_rate": 8.684897528894517e-06, + "loss": 0.7644, + "step": 3809 + }, + { + "epoch": 0.26, + "learning_rate": 8.684152682874568e-06, + "loss": 0.7465, + "step": 3810 + }, + { + "epoch": 0.26, + "learning_rate": 8.683407657941581e-06, + "loss": 0.955, + "step": 3811 + }, + { + "epoch": 0.26, + "learning_rate": 8.682662454131736e-06, + "loss": 0.7372, + "step": 3812 + }, + { + "epoch": 0.26, + "learning_rate": 8.681917071481224e-06, + "loss": 0.6263, + "step": 3813 + }, + { + "epoch": 0.26, + "learning_rate": 8.68117151002624e-06, + "loss": 0.5622, + "step": 3814 + }, + { + "epoch": 0.26, + "learning_rate": 8.680425769802993e-06, + "loss": 1.0615, + "step": 3815 + }, + { + "epoch": 0.26, + "learning_rate": 8.679679850847698e-06, + "loss": 0.7242, + "step": 3816 + }, + { + "epoch": 0.26, + "learning_rate": 8.678933753196577e-06, + "loss": 0.8379, + "step": 3817 + }, + { + "epoch": 0.26, + "learning_rate": 8.678187476885864e-06, + "loss": 0.6307, + "step": 3818 + }, + { + "epoch": 0.26, + "learning_rate": 8.677441021951802e-06, + "loss": 0.8688, + "step": 3819 + }, + { + "epoch": 0.26, + "learning_rate": 8.676694388430637e-06, + "loss": 0.5662, + "step": 3820 + }, + { + "epoch": 0.26, + "learning_rate": 8.675947576358632e-06, + "loss": 0.8504, + "step": 3821 + }, + { + "epoch": 0.26, + "learning_rate": 8.675200585772053e-06, + "loss": 0.9127, + "step": 3822 + }, + { + "epoch": 0.26, + "learning_rate": 8.674453416707174e-06, + "loss": 0.742, + "step": 3823 + }, + { + "epoch": 0.26, + "learning_rate": 8.67370606920028e-06, + "loss": 0.7572, + "step": 3824 + }, + { + "epoch": 0.26, + "learning_rate": 8.672958543287666e-06, + "loss": 0.6768, + "step": 3825 + }, + { + "epoch": 0.26, + "learning_rate": 8.672210839005635e-06, + "loss": 0.8846, + "step": 3826 + }, + { + "epoch": 0.26, + "learning_rate": 8.671462956390496e-06, + "loss": 0.9188, + "step": 3827 + }, + { + "epoch": 0.26, + "learning_rate": 8.670714895478566e-06, + "loss": 0.5918, + "step": 3828 + }, + { + "epoch": 0.26, + "learning_rate": 8.669966656306176e-06, + "loss": 0.9344, + "step": 3829 + }, + { + "epoch": 0.26, + "learning_rate": 8.669218238909665e-06, + "loss": 0.841, + "step": 3830 + }, + { + "epoch": 0.26, + "learning_rate": 8.668469643325373e-06, + "loss": 0.6876, + "step": 3831 + }, + { + "epoch": 0.26, + "learning_rate": 8.667720869589655e-06, + "loss": 0.875, + "step": 3832 + }, + { + "epoch": 0.26, + "learning_rate": 8.666971917738876e-06, + "loss": 0.9052, + "step": 3833 + }, + { + "epoch": 0.26, + "learning_rate": 8.666222787809407e-06, + "loss": 0.7694, + "step": 3834 + }, + { + "epoch": 0.26, + "learning_rate": 8.665473479837627e-06, + "loss": 0.6346, + "step": 3835 + }, + { + "epoch": 0.26, + "learning_rate": 8.664723993859923e-06, + "loss": 0.6302, + "step": 3836 + }, + { + "epoch": 0.26, + "learning_rate": 8.663974329912695e-06, + "loss": 0.6413, + "step": 3837 + }, + { + "epoch": 0.26, + "learning_rate": 8.663224488032348e-06, + "loss": 0.6502, + "step": 3838 + }, + { + "epoch": 0.26, + "learning_rate": 8.662474468255295e-06, + "loss": 1.0035, + "step": 3839 + }, + { + "epoch": 0.26, + "learning_rate": 8.661724270617961e-06, + "loss": 0.8829, + "step": 3840 + }, + { + "epoch": 0.26, + "learning_rate": 8.660973895156777e-06, + "loss": 0.6566, + "step": 3841 + }, + { + "epoch": 0.26, + "learning_rate": 8.660223341908183e-06, + "loss": 0.7722, + "step": 3842 + }, + { + "epoch": 0.26, + "learning_rate": 8.659472610908628e-06, + "loss": 0.7452, + "step": 3843 + }, + { + "epoch": 0.26, + "learning_rate": 8.65872170219457e-06, + "loss": 0.8091, + "step": 3844 + }, + { + "epoch": 0.26, + "learning_rate": 8.657970615802475e-06, + "loss": 0.7692, + "step": 3845 + }, + { + "epoch": 0.26, + "learning_rate": 8.65721935176882e-06, + "loss": 0.8881, + "step": 3846 + }, + { + "epoch": 0.26, + "learning_rate": 8.656467910130086e-06, + "loss": 0.7621, + "step": 3847 + }, + { + "epoch": 0.26, + "learning_rate": 8.655716290922764e-06, + "loss": 0.5665, + "step": 3848 + }, + { + "epoch": 0.26, + "learning_rate": 8.65496449418336e-06, + "loss": 0.786, + "step": 3849 + }, + { + "epoch": 0.26, + "learning_rate": 8.654212519948376e-06, + "loss": 0.5528, + "step": 3850 + }, + { + "epoch": 0.26, + "learning_rate": 8.653460368254338e-06, + "loss": 0.9025, + "step": 3851 + }, + { + "epoch": 0.26, + "learning_rate": 8.652708039137767e-06, + "loss": 1.076, + "step": 3852 + }, + { + "epoch": 0.26, + "learning_rate": 8.651955532635201e-06, + "loss": 0.9659, + "step": 3853 + }, + { + "epoch": 0.26, + "learning_rate": 8.651202848783182e-06, + "loss": 0.8671, + "step": 3854 + }, + { + "epoch": 0.26, + "learning_rate": 8.650449987618263e-06, + "loss": 0.7534, + "step": 3855 + }, + { + "epoch": 0.26, + "learning_rate": 8.649696949177006e-06, + "loss": 0.6097, + "step": 3856 + }, + { + "epoch": 0.26, + "learning_rate": 8.64894373349598e-06, + "loss": 0.7502, + "step": 3857 + }, + { + "epoch": 0.26, + "learning_rate": 8.648190340611766e-06, + "loss": 0.8818, + "step": 3858 + }, + { + "epoch": 0.26, + "learning_rate": 8.647436770560946e-06, + "loss": 0.6934, + "step": 3859 + }, + { + "epoch": 0.26, + "learning_rate": 8.646683023380118e-06, + "loss": 0.7758, + "step": 3860 + }, + { + "epoch": 0.26, + "learning_rate": 8.645929099105886e-06, + "loss": 0.6139, + "step": 3861 + }, + { + "epoch": 0.26, + "learning_rate": 8.645174997774863e-06, + "loss": 0.9523, + "step": 3862 + }, + { + "epoch": 0.26, + "learning_rate": 8.644420719423672e-06, + "loss": 0.8202, + "step": 3863 + }, + { + "epoch": 0.26, + "learning_rate": 8.643666264088939e-06, + "loss": 0.5893, + "step": 3864 + }, + { + "epoch": 0.26, + "learning_rate": 8.642911631807306e-06, + "loss": 0.8869, + "step": 3865 + }, + { + "epoch": 0.26, + "learning_rate": 8.642156822615418e-06, + "loss": 0.4292, + "step": 3866 + }, + { + "epoch": 0.26, + "learning_rate": 8.641401836549931e-06, + "loss": 0.6258, + "step": 3867 + }, + { + "epoch": 0.26, + "learning_rate": 8.640646673647511e-06, + "loss": 0.8648, + "step": 3868 + }, + { + "epoch": 0.26, + "learning_rate": 8.639891333944829e-06, + "loss": 0.8715, + "step": 3869 + }, + { + "epoch": 0.26, + "learning_rate": 8.639135817478566e-06, + "loss": 0.7127, + "step": 3870 + }, + { + "epoch": 0.26, + "learning_rate": 8.638380124285414e-06, + "loss": 0.5901, + "step": 3871 + }, + { + "epoch": 0.26, + "learning_rate": 8.637624254402072e-06, + "loss": 0.689, + "step": 3872 + }, + { + "epoch": 0.26, + "learning_rate": 8.636868207865244e-06, + "loss": 1.1721, + "step": 3873 + }, + { + "epoch": 0.26, + "learning_rate": 8.636111984711648e-06, + "loss": 0.8958, + "step": 3874 + }, + { + "epoch": 0.26, + "learning_rate": 8.63535558497801e-06, + "loss": 0.7309, + "step": 3875 + }, + { + "epoch": 0.26, + "learning_rate": 8.634599008701059e-06, + "loss": 0.4729, + "step": 3876 + }, + { + "epoch": 0.26, + "learning_rate": 8.633842255917539e-06, + "loss": 0.5091, + "step": 3877 + }, + { + "epoch": 0.26, + "learning_rate": 8.633085326664202e-06, + "loss": 0.5263, + "step": 3878 + }, + { + "epoch": 0.26, + "learning_rate": 8.632328220977801e-06, + "loss": 0.7261, + "step": 3879 + }, + { + "epoch": 0.26, + "learning_rate": 8.631570938895109e-06, + "loss": 0.6488, + "step": 3880 + }, + { + "epoch": 0.26, + "learning_rate": 8.630813480452898e-06, + "loss": 0.726, + "step": 3881 + }, + { + "epoch": 0.26, + "learning_rate": 8.630055845687953e-06, + "loss": 0.8367, + "step": 3882 + }, + { + "epoch": 0.26, + "learning_rate": 8.62929803463707e-06, + "loss": 0.9236, + "step": 3883 + }, + { + "epoch": 0.26, + "learning_rate": 8.628540047337046e-06, + "loss": 0.6184, + "step": 3884 + }, + { + "epoch": 0.26, + "learning_rate": 8.627781883824694e-06, + "loss": 0.625, + "step": 3885 + }, + { + "epoch": 0.26, + "learning_rate": 8.627023544136832e-06, + "loss": 0.6085, + "step": 3886 + }, + { + "epoch": 0.26, + "learning_rate": 8.626265028310287e-06, + "loss": 0.9096, + "step": 3887 + }, + { + "epoch": 0.26, + "learning_rate": 8.625506336381895e-06, + "loss": 0.7175, + "step": 3888 + }, + { + "epoch": 0.26, + "learning_rate": 8.624747468388497e-06, + "loss": 0.7456, + "step": 3889 + }, + { + "epoch": 0.26, + "learning_rate": 8.623988424366952e-06, + "loss": 0.6355, + "step": 3890 + }, + { + "epoch": 0.26, + "learning_rate": 8.623229204354117e-06, + "loss": 0.575, + "step": 3891 + }, + { + "epoch": 0.26, + "learning_rate": 8.622469808386863e-06, + "loss": 0.9465, + "step": 3892 + }, + { + "epoch": 0.26, + "learning_rate": 8.621710236502068e-06, + "loss": 0.6129, + "step": 3893 + }, + { + "epoch": 0.26, + "learning_rate": 8.620950488736619e-06, + "loss": 0.8308, + "step": 3894 + }, + { + "epoch": 0.27, + "learning_rate": 8.620190565127413e-06, + "loss": 0.6079, + "step": 3895 + }, + { + "epoch": 0.27, + "learning_rate": 8.619430465711353e-06, + "loss": 0.78, + "step": 3896 + }, + { + "epoch": 0.27, + "learning_rate": 8.61867019052535e-06, + "loss": 0.7543, + "step": 3897 + }, + { + "epoch": 0.27, + "learning_rate": 8.617909739606329e-06, + "loss": 0.717, + "step": 3898 + }, + { + "epoch": 0.27, + "learning_rate": 8.617149112991217e-06, + "loss": 0.9501, + "step": 3899 + }, + { + "epoch": 0.27, + "learning_rate": 8.616388310716952e-06, + "loss": 0.8145, + "step": 3900 + }, + { + "epoch": 0.27, + "learning_rate": 8.615627332820482e-06, + "loss": 0.8853, + "step": 3901 + }, + { + "epoch": 0.27, + "learning_rate": 8.61486617933876e-06, + "loss": 0.9179, + "step": 3902 + }, + { + "epoch": 0.27, + "learning_rate": 8.614104850308753e-06, + "loss": 0.8368, + "step": 3903 + }, + { + "epoch": 0.27, + "learning_rate": 8.613343345767433e-06, + "loss": 0.6711, + "step": 3904 + }, + { + "epoch": 0.27, + "learning_rate": 8.612581665751778e-06, + "loss": 0.7976, + "step": 3905 + }, + { + "epoch": 0.27, + "learning_rate": 8.611819810298778e-06, + "loss": 0.9436, + "step": 3906 + }, + { + "epoch": 0.27, + "learning_rate": 8.611057779445434e-06, + "loss": 0.9381, + "step": 3907 + }, + { + "epoch": 0.27, + "learning_rate": 8.610295573228748e-06, + "loss": 0.6696, + "step": 3908 + }, + { + "epoch": 0.27, + "learning_rate": 8.60953319168574e-06, + "loss": 0.9321, + "step": 3909 + }, + { + "epoch": 0.27, + "learning_rate": 8.60877063485343e-06, + "loss": 0.6153, + "step": 3910 + }, + { + "epoch": 0.27, + "learning_rate": 8.608007902768849e-06, + "loss": 0.628, + "step": 3911 + }, + { + "epoch": 0.27, + "learning_rate": 8.607244995469039e-06, + "loss": 0.5606, + "step": 3912 + }, + { + "epoch": 0.27, + "learning_rate": 8.606481912991052e-06, + "loss": 0.6004, + "step": 3913 + }, + { + "epoch": 0.27, + "learning_rate": 8.60571865537194e-06, + "loss": 0.7831, + "step": 3914 + }, + { + "epoch": 0.27, + "learning_rate": 8.604955222648772e-06, + "loss": 0.7235, + "step": 3915 + }, + { + "epoch": 0.27, + "learning_rate": 8.604191614858623e-06, + "loss": 0.8244, + "step": 3916 + }, + { + "epoch": 0.27, + "learning_rate": 8.603427832038574e-06, + "loss": 0.8718, + "step": 3917 + }, + { + "epoch": 0.27, + "learning_rate": 8.602663874225717e-06, + "loss": 0.5703, + "step": 3918 + }, + { + "epoch": 0.27, + "learning_rate": 8.601899741457153e-06, + "loss": 0.7386, + "step": 3919 + }, + { + "epoch": 0.27, + "learning_rate": 8.601135433769991e-06, + "loss": 0.7714, + "step": 3920 + }, + { + "epoch": 0.27, + "learning_rate": 8.600370951201345e-06, + "loss": 0.5768, + "step": 3921 + }, + { + "epoch": 0.27, + "learning_rate": 8.599606293788344e-06, + "loss": 0.4855, + "step": 3922 + }, + { + "epoch": 0.27, + "learning_rate": 8.59884146156812e-06, + "loss": 0.7209, + "step": 3923 + }, + { + "epoch": 0.27, + "learning_rate": 8.598076454577815e-06, + "loss": 0.6796, + "step": 3924 + }, + { + "epoch": 0.27, + "learning_rate": 8.597311272854581e-06, + "loss": 0.7795, + "step": 3925 + }, + { + "epoch": 0.27, + "learning_rate": 8.596545916435579e-06, + "loss": 1.0339, + "step": 3926 + }, + { + "epoch": 0.27, + "learning_rate": 8.595780385357972e-06, + "loss": 0.7472, + "step": 3927 + }, + { + "epoch": 0.27, + "learning_rate": 8.595014679658942e-06, + "loss": 1.1041, + "step": 3928 + }, + { + "epoch": 0.27, + "learning_rate": 8.594248799375671e-06, + "loss": 0.5968, + "step": 3929 + }, + { + "epoch": 0.27, + "learning_rate": 8.593482744545351e-06, + "loss": 0.7667, + "step": 3930 + }, + { + "epoch": 0.27, + "learning_rate": 8.592716515205187e-06, + "loss": 0.6796, + "step": 3931 + }, + { + "epoch": 0.27, + "learning_rate": 8.591950111392386e-06, + "loss": 0.7775, + "step": 3932 + }, + { + "epoch": 0.27, + "learning_rate": 8.591183533144172e-06, + "loss": 0.9092, + "step": 3933 + }, + { + "epoch": 0.27, + "learning_rate": 8.590416780497766e-06, + "loss": 0.8651, + "step": 3934 + }, + { + "epoch": 0.27, + "learning_rate": 8.589649853490407e-06, + "loss": 1.0905, + "step": 3935 + }, + { + "epoch": 0.27, + "learning_rate": 8.588882752159339e-06, + "loss": 0.7649, + "step": 3936 + }, + { + "epoch": 0.27, + "learning_rate": 8.588115476541815e-06, + "loss": 0.8529, + "step": 3937 + }, + { + "epoch": 0.27, + "learning_rate": 8.587348026675095e-06, + "loss": 0.6432, + "step": 3938 + }, + { + "epoch": 0.27, + "learning_rate": 8.586580402596448e-06, + "loss": 0.8456, + "step": 3939 + }, + { + "epoch": 0.27, + "learning_rate": 8.585812604343154e-06, + "loss": 0.8837, + "step": 3940 + }, + { + "epoch": 0.27, + "learning_rate": 8.585044631952498e-06, + "loss": 0.4728, + "step": 3941 + }, + { + "epoch": 0.27, + "learning_rate": 8.584276485461775e-06, + "loss": 0.6228, + "step": 3942 + }, + { + "epoch": 0.27, + "learning_rate": 8.58350816490829e-06, + "loss": 0.749, + "step": 3943 + }, + { + "epoch": 0.27, + "learning_rate": 8.582739670329354e-06, + "loss": 0.8786, + "step": 3944 + }, + { + "epoch": 0.27, + "learning_rate": 8.581971001762287e-06, + "loss": 0.6881, + "step": 3945 + }, + { + "epoch": 0.27, + "learning_rate": 8.581202159244417e-06, + "loss": 0.7636, + "step": 3946 + }, + { + "epoch": 0.27, + "learning_rate": 8.580433142813082e-06, + "loss": 0.981, + "step": 3947 + }, + { + "epoch": 0.27, + "learning_rate": 8.579663952505628e-06, + "loss": 0.8833, + "step": 3948 + }, + { + "epoch": 0.27, + "learning_rate": 8.57889458835941e-06, + "loss": 0.7302, + "step": 3949 + }, + { + "epoch": 0.27, + "learning_rate": 8.578125050411788e-06, + "loss": 0.9813, + "step": 3950 + }, + { + "epoch": 0.27, + "learning_rate": 8.577355338700133e-06, + "loss": 0.6665, + "step": 3951 + }, + { + "epoch": 0.27, + "learning_rate": 8.576585453261827e-06, + "loss": 0.7799, + "step": 3952 + }, + { + "epoch": 0.27, + "learning_rate": 8.575815394134257e-06, + "loss": 0.743, + "step": 3953 + }, + { + "epoch": 0.27, + "learning_rate": 8.575045161354818e-06, + "loss": 0.9334, + "step": 3954 + }, + { + "epoch": 0.27, + "learning_rate": 8.574274754960916e-06, + "loss": 0.6023, + "step": 3955 + }, + { + "epoch": 0.27, + "learning_rate": 8.573504174989964e-06, + "loss": 0.7158, + "step": 3956 + }, + { + "epoch": 0.27, + "learning_rate": 8.572733421479382e-06, + "loss": 0.6913, + "step": 3957 + }, + { + "epoch": 0.27, + "learning_rate": 8.571962494466602e-06, + "loss": 0.6255, + "step": 3958 + }, + { + "epoch": 0.27, + "learning_rate": 8.571191393989062e-06, + "loss": 0.7085, + "step": 3959 + }, + { + "epoch": 0.27, + "learning_rate": 8.570420120084208e-06, + "loss": 0.8081, + "step": 3960 + }, + { + "epoch": 0.27, + "learning_rate": 8.569648672789496e-06, + "loss": 0.788, + "step": 3961 + }, + { + "epoch": 0.27, + "learning_rate": 8.568877052142388e-06, + "loss": 0.6524, + "step": 3962 + }, + { + "epoch": 0.27, + "learning_rate": 8.56810525818036e-06, + "loss": 0.906, + "step": 3963 + }, + { + "epoch": 0.27, + "learning_rate": 8.56733329094089e-06, + "loss": 0.6424, + "step": 3964 + }, + { + "epoch": 0.27, + "learning_rate": 8.566561150461466e-06, + "loss": 0.904, + "step": 3965 + }, + { + "epoch": 0.27, + "learning_rate": 8.565788836779587e-06, + "loss": 0.9014, + "step": 3966 + }, + { + "epoch": 0.27, + "learning_rate": 8.565016349932757e-06, + "loss": 0.6678, + "step": 3967 + }, + { + "epoch": 0.27, + "learning_rate": 8.564243689958493e-06, + "loss": 0.7119, + "step": 3968 + }, + { + "epoch": 0.27, + "learning_rate": 8.563470856894316e-06, + "loss": 0.9799, + "step": 3969 + }, + { + "epoch": 0.27, + "learning_rate": 8.562697850777755e-06, + "loss": 1.121, + "step": 3970 + }, + { + "epoch": 0.27, + "learning_rate": 8.561924671646353e-06, + "loss": 0.7765, + "step": 3971 + }, + { + "epoch": 0.27, + "learning_rate": 8.561151319537656e-06, + "loss": 0.6936, + "step": 3972 + }, + { + "epoch": 0.27, + "learning_rate": 8.56037779448922e-06, + "loss": 0.6181, + "step": 3973 + }, + { + "epoch": 0.27, + "learning_rate": 8.559604096538611e-06, + "loss": 0.7789, + "step": 3974 + }, + { + "epoch": 0.27, + "learning_rate": 8.5588302257234e-06, + "loss": 0.6628, + "step": 3975 + }, + { + "epoch": 0.27, + "learning_rate": 8.558056182081169e-06, + "loss": 0.7566, + "step": 3976 + }, + { + "epoch": 0.27, + "learning_rate": 8.557281965649508e-06, + "loss": 0.8581, + "step": 3977 + }, + { + "epoch": 0.27, + "learning_rate": 8.556507576466017e-06, + "loss": 0.7841, + "step": 3978 + }, + { + "epoch": 0.27, + "learning_rate": 8.5557330145683e-06, + "loss": 1.066, + "step": 3979 + }, + { + "epoch": 0.27, + "learning_rate": 8.554958279993973e-06, + "loss": 0.5347, + "step": 3980 + }, + { + "epoch": 0.27, + "learning_rate": 8.554183372780659e-06, + "loss": 0.9205, + "step": 3981 + }, + { + "epoch": 0.27, + "learning_rate": 8.55340829296599e-06, + "loss": 0.4864, + "step": 3982 + }, + { + "epoch": 0.27, + "learning_rate": 8.552633040587605e-06, + "loss": 0.7387, + "step": 3983 + }, + { + "epoch": 0.27, + "learning_rate": 8.551857615683154e-06, + "loss": 0.6056, + "step": 3984 + }, + { + "epoch": 0.27, + "learning_rate": 8.551082018290295e-06, + "loss": 0.8977, + "step": 3985 + }, + { + "epoch": 0.27, + "learning_rate": 8.55030624844669e-06, + "loss": 0.6826, + "step": 3986 + }, + { + "epoch": 0.27, + "learning_rate": 8.549530306190015e-06, + "loss": 0.7673, + "step": 3987 + }, + { + "epoch": 0.27, + "learning_rate": 8.54875419155795e-06, + "loss": 0.5773, + "step": 3988 + }, + { + "epoch": 0.27, + "learning_rate": 8.547977904588188e-06, + "loss": 0.5643, + "step": 3989 + }, + { + "epoch": 0.27, + "learning_rate": 8.547201445318425e-06, + "loss": 0.7921, + "step": 3990 + }, + { + "epoch": 0.27, + "learning_rate": 8.54642481378637e-06, + "loss": 0.7364, + "step": 3991 + }, + { + "epoch": 0.27, + "learning_rate": 8.545648010029737e-06, + "loss": 0.5085, + "step": 3992 + }, + { + "epoch": 0.27, + "learning_rate": 8.54487103408625e-06, + "loss": 0.735, + "step": 3993 + }, + { + "epoch": 0.27, + "learning_rate": 8.544093885993643e-06, + "loss": 0.6999, + "step": 3994 + }, + { + "epoch": 0.27, + "learning_rate": 8.543316565789657e-06, + "loss": 0.8172, + "step": 3995 + }, + { + "epoch": 0.27, + "learning_rate": 8.542539073512038e-06, + "loss": 1.0095, + "step": 3996 + }, + { + "epoch": 0.27, + "learning_rate": 8.541761409198544e-06, + "loss": 0.681, + "step": 3997 + }, + { + "epoch": 0.27, + "learning_rate": 8.540983572886941e-06, + "loss": 0.6003, + "step": 3998 + }, + { + "epoch": 0.27, + "learning_rate": 8.540205564615002e-06, + "loss": 0.7743, + "step": 3999 + }, + { + "epoch": 0.27, + "learning_rate": 8.539427384420513e-06, + "loss": 0.7121, + "step": 4000 + }, + { + "epoch": 0.27, + "learning_rate": 8.53864903234126e-06, + "loss": 1.1382, + "step": 4001 + }, + { + "epoch": 0.27, + "learning_rate": 8.537870508415046e-06, + "loss": 0.8681, + "step": 4002 + }, + { + "epoch": 0.27, + "learning_rate": 8.537091812679675e-06, + "loss": 0.8201, + "step": 4003 + }, + { + "epoch": 0.27, + "learning_rate": 8.536312945172964e-06, + "loss": 0.6325, + "step": 4004 + }, + { + "epoch": 0.27, + "learning_rate": 8.535533905932739e-06, + "loss": 0.9102, + "step": 4005 + }, + { + "epoch": 0.27, + "learning_rate": 8.53475469499683e-06, + "loss": 0.7239, + "step": 4006 + }, + { + "epoch": 0.27, + "learning_rate": 8.533975312403076e-06, + "loss": 0.7807, + "step": 4007 + }, + { + "epoch": 0.27, + "learning_rate": 8.53319575818933e-06, + "loss": 0.8955, + "step": 4008 + }, + { + "epoch": 0.27, + "learning_rate": 8.532416032393447e-06, + "loss": 0.6272, + "step": 4009 + }, + { + "epoch": 0.27, + "learning_rate": 8.531636135053296e-06, + "loss": 0.8003, + "step": 4010 + }, + { + "epoch": 0.27, + "learning_rate": 8.530856066206746e-06, + "loss": 0.796, + "step": 4011 + }, + { + "epoch": 0.27, + "learning_rate": 8.530075825891684e-06, + "loss": 1.0019, + "step": 4012 + }, + { + "epoch": 0.27, + "learning_rate": 8.529295414145997e-06, + "loss": 0.5288, + "step": 4013 + }, + { + "epoch": 0.27, + "learning_rate": 8.528514831007587e-06, + "loss": 0.5219, + "step": 4014 + }, + { + "epoch": 0.27, + "learning_rate": 8.527734076514357e-06, + "loss": 0.5948, + "step": 4015 + }, + { + "epoch": 0.27, + "learning_rate": 8.526953150704229e-06, + "loss": 0.893, + "step": 4016 + }, + { + "epoch": 0.27, + "learning_rate": 8.526172053615122e-06, + "loss": 0.789, + "step": 4017 + }, + { + "epoch": 0.27, + "learning_rate": 8.525390785284971e-06, + "loss": 0.6356, + "step": 4018 + }, + { + "epoch": 0.27, + "learning_rate": 8.524609345751715e-06, + "loss": 0.7954, + "step": 4019 + }, + { + "epoch": 0.27, + "learning_rate": 8.523827735053303e-06, + "loss": 0.7843, + "step": 4020 + }, + { + "epoch": 0.27, + "learning_rate": 8.523045953227693e-06, + "loss": 1.0736, + "step": 4021 + }, + { + "epoch": 0.27, + "learning_rate": 8.522264000312853e-06, + "loss": 0.7978, + "step": 4022 + }, + { + "epoch": 0.27, + "learning_rate": 8.521481876346751e-06, + "loss": 1.0838, + "step": 4023 + }, + { + "epoch": 0.27, + "learning_rate": 8.520699581367374e-06, + "loss": 0.6703, + "step": 4024 + }, + { + "epoch": 0.27, + "learning_rate": 8.51991711541271e-06, + "loss": 0.7242, + "step": 4025 + }, + { + "epoch": 0.27, + "learning_rate": 8.519134478520761e-06, + "loss": 0.9891, + "step": 4026 + }, + { + "epoch": 0.27, + "learning_rate": 8.51835167072953e-06, + "loss": 0.6493, + "step": 4027 + }, + { + "epoch": 0.27, + "learning_rate": 8.517568692077033e-06, + "loss": 0.9289, + "step": 4028 + }, + { + "epoch": 0.27, + "learning_rate": 8.516785542601298e-06, + "loss": 0.3263, + "step": 4029 + }, + { + "epoch": 0.27, + "learning_rate": 8.516002222340353e-06, + "loss": 0.931, + "step": 4030 + }, + { + "epoch": 0.27, + "learning_rate": 8.51521873133224e-06, + "loss": 0.8169, + "step": 4031 + }, + { + "epoch": 0.27, + "learning_rate": 8.514435069615005e-06, + "loss": 0.7308, + "step": 4032 + }, + { + "epoch": 0.27, + "learning_rate": 8.513651237226707e-06, + "loss": 0.8441, + "step": 4033 + }, + { + "epoch": 0.27, + "learning_rate": 8.512867234205414e-06, + "loss": 0.9335, + "step": 4034 + }, + { + "epoch": 0.27, + "learning_rate": 8.512083060589193e-06, + "loss": 0.8007, + "step": 4035 + }, + { + "epoch": 0.27, + "learning_rate": 8.511298716416127e-06, + "loss": 0.6839, + "step": 4036 + }, + { + "epoch": 0.27, + "learning_rate": 8.510514201724313e-06, + "loss": 0.7402, + "step": 4037 + }, + { + "epoch": 0.27, + "learning_rate": 8.509729516551842e-06, + "loss": 0.7976, + "step": 4038 + }, + { + "epoch": 0.27, + "learning_rate": 8.508944660936822e-06, + "loss": 0.4925, + "step": 4039 + }, + { + "epoch": 0.27, + "learning_rate": 8.50815963491737e-06, + "loss": 0.8887, + "step": 4040 + }, + { + "epoch": 0.27, + "learning_rate": 8.507374438531606e-06, + "loss": 0.5093, + "step": 4041 + }, + { + "epoch": 0.28, + "learning_rate": 8.506589071817666e-06, + "loss": 0.6228, + "step": 4042 + }, + { + "epoch": 0.28, + "learning_rate": 8.505803534813686e-06, + "loss": 0.7906, + "step": 4043 + }, + { + "epoch": 0.28, + "learning_rate": 8.505017827557814e-06, + "loss": 0.7585, + "step": 4044 + }, + { + "epoch": 0.28, + "learning_rate": 8.504231950088206e-06, + "loss": 1.0533, + "step": 4045 + }, + { + "epoch": 0.28, + "learning_rate": 8.50344590244303e-06, + "loss": 0.8854, + "step": 4046 + }, + { + "epoch": 0.28, + "learning_rate": 8.502659684660455e-06, + "loss": 0.7552, + "step": 4047 + }, + { + "epoch": 0.28, + "learning_rate": 8.501873296778663e-06, + "loss": 0.7437, + "step": 4048 + }, + { + "epoch": 0.28, + "learning_rate": 8.501086738835843e-06, + "loss": 0.862, + "step": 4049 + }, + { + "epoch": 0.28, + "learning_rate": 8.500300010870195e-06, + "loss": 0.804, + "step": 4050 + }, + { + "epoch": 0.28, + "learning_rate": 8.49951311291992e-06, + "loss": 0.9385, + "step": 4051 + }, + { + "epoch": 0.28, + "learning_rate": 8.498726045023235e-06, + "loss": 0.8491, + "step": 4052 + }, + { + "epoch": 0.28, + "learning_rate": 8.497938807218365e-06, + "loss": 0.6285, + "step": 4053 + }, + { + "epoch": 0.28, + "learning_rate": 8.497151399543535e-06, + "loss": 0.8657, + "step": 4054 + }, + { + "epoch": 0.28, + "learning_rate": 8.496363822036987e-06, + "loss": 0.7906, + "step": 4055 + }, + { + "epoch": 0.28, + "learning_rate": 8.49557607473697e-06, + "loss": 0.555, + "step": 4056 + }, + { + "epoch": 0.28, + "learning_rate": 8.494788157681733e-06, + "loss": 0.6101, + "step": 4057 + }, + { + "epoch": 0.28, + "learning_rate": 8.494000070909543e-06, + "loss": 0.9056, + "step": 4058 + }, + { + "epoch": 0.28, + "learning_rate": 8.493211814458674e-06, + "loss": 0.8412, + "step": 4059 + }, + { + "epoch": 0.28, + "learning_rate": 8.492423388367403e-06, + "loss": 0.5056, + "step": 4060 + }, + { + "epoch": 0.28, + "learning_rate": 8.49163479267402e-06, + "loss": 0.9143, + "step": 4061 + }, + { + "epoch": 0.28, + "learning_rate": 8.49084602741682e-06, + "loss": 0.7074, + "step": 4062 + }, + { + "epoch": 0.28, + "learning_rate": 8.490057092634108e-06, + "loss": 0.9643, + "step": 4063 + }, + { + "epoch": 0.28, + "learning_rate": 8.489267988364198e-06, + "loss": 0.9504, + "step": 4064 + }, + { + "epoch": 0.28, + "learning_rate": 8.48847871464541e-06, + "loss": 0.9296, + "step": 4065 + }, + { + "epoch": 0.28, + "learning_rate": 8.487689271516072e-06, + "loss": 0.8124, + "step": 4066 + }, + { + "epoch": 0.28, + "learning_rate": 8.486899659014527e-06, + "loss": 0.6753, + "step": 4067 + }, + { + "epoch": 0.28, + "learning_rate": 8.486109877179115e-06, + "loss": 0.8122, + "step": 4068 + }, + { + "epoch": 0.28, + "learning_rate": 8.485319926048194e-06, + "loss": 0.4455, + "step": 4069 + }, + { + "epoch": 0.28, + "learning_rate": 8.484529805660125e-06, + "loss": 0.6346, + "step": 4070 + }, + { + "epoch": 0.28, + "learning_rate": 8.483739516053276e-06, + "loss": 0.7724, + "step": 4071 + }, + { + "epoch": 0.28, + "learning_rate": 8.48294905726603e-06, + "loss": 0.8031, + "step": 4072 + }, + { + "epoch": 0.28, + "learning_rate": 8.482158429336769e-06, + "loss": 0.9718, + "step": 4073 + }, + { + "epoch": 0.28, + "learning_rate": 8.481367632303894e-06, + "loss": 0.7912, + "step": 4074 + }, + { + "epoch": 0.28, + "learning_rate": 8.480576666205805e-06, + "loss": 0.9985, + "step": 4075 + }, + { + "epoch": 0.28, + "learning_rate": 8.479785531080913e-06, + "loss": 0.7737, + "step": 4076 + }, + { + "epoch": 0.28, + "learning_rate": 8.478994226967638e-06, + "loss": 0.6043, + "step": 4077 + }, + { + "epoch": 0.28, + "learning_rate": 8.47820275390441e-06, + "loss": 0.781, + "step": 4078 + }, + { + "epoch": 0.28, + "learning_rate": 8.477411111929666e-06, + "loss": 1.0083, + "step": 4079 + }, + { + "epoch": 0.28, + "learning_rate": 8.476619301081845e-06, + "loss": 0.6956, + "step": 4080 + }, + { + "epoch": 0.28, + "learning_rate": 8.475827321399406e-06, + "loss": 0.7293, + "step": 4081 + }, + { + "epoch": 0.28, + "learning_rate": 8.475035172920804e-06, + "loss": 0.7823, + "step": 4082 + }, + { + "epoch": 0.28, + "learning_rate": 8.474242855684514e-06, + "loss": 0.8421, + "step": 4083 + }, + { + "epoch": 0.28, + "learning_rate": 8.473450369729007e-06, + "loss": 0.7937, + "step": 4084 + }, + { + "epoch": 0.28, + "learning_rate": 8.472657715092773e-06, + "loss": 0.7945, + "step": 4085 + }, + { + "epoch": 0.28, + "learning_rate": 8.471864891814304e-06, + "loss": 0.7589, + "step": 4086 + }, + { + "epoch": 0.28, + "learning_rate": 8.471071899932101e-06, + "loss": 1.0116, + "step": 4087 + }, + { + "epoch": 0.28, + "learning_rate": 8.470278739484677e-06, + "loss": 0.7922, + "step": 4088 + }, + { + "epoch": 0.28, + "learning_rate": 8.469485410510545e-06, + "loss": 0.5942, + "step": 4089 + }, + { + "epoch": 0.28, + "learning_rate": 8.468691913048237e-06, + "loss": 0.6488, + "step": 4090 + }, + { + "epoch": 0.28, + "learning_rate": 8.467898247136284e-06, + "loss": 1.1418, + "step": 4091 + }, + { + "epoch": 0.28, + "learning_rate": 8.467104412813228e-06, + "loss": 0.6805, + "step": 4092 + }, + { + "epoch": 0.28, + "learning_rate": 8.466310410117622e-06, + "loss": 0.9756, + "step": 4093 + }, + { + "epoch": 0.28, + "learning_rate": 8.465516239088025e-06, + "loss": 0.9195, + "step": 4094 + }, + { + "epoch": 0.28, + "learning_rate": 8.464721899763003e-06, + "loss": 0.8178, + "step": 4095 + }, + { + "epoch": 0.28, + "learning_rate": 8.463927392181133e-06, + "loss": 0.9376, + "step": 4096 + }, + { + "epoch": 0.28, + "learning_rate": 8.463132716380996e-06, + "loss": 0.8071, + "step": 4097 + }, + { + "epoch": 0.28, + "learning_rate": 8.462337872401186e-06, + "loss": 0.7538, + "step": 4098 + }, + { + "epoch": 0.28, + "learning_rate": 8.461542860280302e-06, + "loss": 1.0002, + "step": 4099 + }, + { + "epoch": 0.28, + "learning_rate": 8.460747680056953e-06, + "loss": 0.6369, + "step": 4100 + }, + { + "epoch": 0.28, + "learning_rate": 8.459952331769755e-06, + "loss": 0.5504, + "step": 4101 + }, + { + "epoch": 0.28, + "learning_rate": 8.459156815457333e-06, + "loss": 0.6916, + "step": 4102 + }, + { + "epoch": 0.28, + "learning_rate": 8.458361131158315e-06, + "loss": 0.7908, + "step": 4103 + }, + { + "epoch": 0.28, + "learning_rate": 8.457565278911349e-06, + "loss": 0.6839, + "step": 4104 + }, + { + "epoch": 0.28, + "learning_rate": 8.456769258755078e-06, + "loss": 0.7526, + "step": 4105 + }, + { + "epoch": 0.28, + "learning_rate": 8.45597307072816e-06, + "loss": 0.502, + "step": 4106 + }, + { + "epoch": 0.28, + "learning_rate": 8.455176714869262e-06, + "loss": 0.9095, + "step": 4107 + }, + { + "epoch": 0.28, + "learning_rate": 8.454380191217058e-06, + "loss": 0.7306, + "step": 4108 + }, + { + "epoch": 0.28, + "learning_rate": 8.453583499810227e-06, + "loss": 0.7805, + "step": 4109 + }, + { + "epoch": 0.28, + "learning_rate": 8.452786640687461e-06, + "loss": 0.7564, + "step": 4110 + }, + { + "epoch": 0.28, + "learning_rate": 8.451989613887455e-06, + "loss": 1.0544, + "step": 4111 + }, + { + "epoch": 0.28, + "learning_rate": 8.451192419448918e-06, + "loss": 0.8568, + "step": 4112 + }, + { + "epoch": 0.28, + "learning_rate": 8.450395057410561e-06, + "loss": 0.6045, + "step": 4113 + }, + { + "epoch": 0.28, + "learning_rate": 8.449597527811108e-06, + "loss": 0.6356, + "step": 4114 + }, + { + "epoch": 0.28, + "learning_rate": 8.448799830689289e-06, + "loss": 1.1364, + "step": 4115 + }, + { + "epoch": 0.28, + "learning_rate": 8.448001966083844e-06, + "loss": 0.8344, + "step": 4116 + }, + { + "epoch": 0.28, + "learning_rate": 8.447203934033515e-06, + "loss": 0.5987, + "step": 4117 + }, + { + "epoch": 0.28, + "learning_rate": 8.446405734577062e-06, + "loss": 0.8012, + "step": 4118 + }, + { + "epoch": 0.28, + "learning_rate": 8.445607367753245e-06, + "loss": 1.0105, + "step": 4119 + }, + { + "epoch": 0.28, + "learning_rate": 8.444808833600835e-06, + "loss": 0.7734, + "step": 4120 + }, + { + "epoch": 0.28, + "learning_rate": 8.444010132158614e-06, + "loss": 0.8849, + "step": 4121 + }, + { + "epoch": 0.28, + "learning_rate": 8.443211263465362e-06, + "loss": 0.7512, + "step": 4122 + }, + { + "epoch": 0.28, + "learning_rate": 8.442412227559884e-06, + "loss": 0.4626, + "step": 4123 + }, + { + "epoch": 0.28, + "learning_rate": 8.441613024480978e-06, + "loss": 0.7836, + "step": 4124 + }, + { + "epoch": 0.28, + "learning_rate": 8.440813654267455e-06, + "loss": 0.7197, + "step": 4125 + }, + { + "epoch": 0.28, + "learning_rate": 8.440014116958139e-06, + "loss": 1.0179, + "step": 4126 + }, + { + "epoch": 0.28, + "learning_rate": 8.439214412591851e-06, + "loss": 0.6266, + "step": 4127 + }, + { + "epoch": 0.28, + "learning_rate": 8.438414541207433e-06, + "loss": 0.9469, + "step": 4128 + }, + { + "epoch": 0.28, + "learning_rate": 8.437614502843727e-06, + "loss": 0.8845, + "step": 4129 + }, + { + "epoch": 0.28, + "learning_rate": 8.436814297539586e-06, + "loss": 0.8235, + "step": 4130 + }, + { + "epoch": 0.28, + "learning_rate": 8.436013925333868e-06, + "loss": 0.7503, + "step": 4131 + }, + { + "epoch": 0.28, + "learning_rate": 8.435213386265443e-06, + "loss": 0.7231, + "step": 4132 + }, + { + "epoch": 0.28, + "learning_rate": 8.434412680373187e-06, + "loss": 0.6304, + "step": 4133 + }, + { + "epoch": 0.28, + "learning_rate": 8.433611807695985e-06, + "loss": 0.7944, + "step": 4134 + }, + { + "epoch": 0.28, + "learning_rate": 8.43281076827273e-06, + "loss": 0.6086, + "step": 4135 + }, + { + "epoch": 0.28, + "learning_rate": 8.43200956214232e-06, + "loss": 0.9184, + "step": 4136 + }, + { + "epoch": 0.28, + "learning_rate": 8.43120818934367e-06, + "loss": 0.6355, + "step": 4137 + }, + { + "epoch": 0.28, + "learning_rate": 8.43040664991569e-06, + "loss": 1.0389, + "step": 4138 + }, + { + "epoch": 0.28, + "learning_rate": 8.42960494389731e-06, + "loss": 0.9226, + "step": 4139 + }, + { + "epoch": 0.28, + "learning_rate": 8.42880307132746e-06, + "loss": 0.7249, + "step": 4140 + }, + { + "epoch": 0.28, + "learning_rate": 8.428001032245081e-06, + "loss": 0.9077, + "step": 4141 + }, + { + "epoch": 0.28, + "learning_rate": 8.427198826689128e-06, + "loss": 1.0077, + "step": 4142 + }, + { + "epoch": 0.28, + "learning_rate": 8.426396454698552e-06, + "loss": 0.7169, + "step": 4143 + }, + { + "epoch": 0.28, + "learning_rate": 8.42559391631232e-06, + "loss": 0.9266, + "step": 4144 + }, + { + "epoch": 0.28, + "learning_rate": 8.424791211569408e-06, + "loss": 0.3259, + "step": 4145 + }, + { + "epoch": 0.28, + "learning_rate": 8.423988340508793e-06, + "loss": 0.7534, + "step": 4146 + }, + { + "epoch": 0.28, + "learning_rate": 8.42318530316947e-06, + "loss": 0.5563, + "step": 4147 + }, + { + "epoch": 0.28, + "learning_rate": 8.422382099590434e-06, + "loss": 0.819, + "step": 4148 + }, + { + "epoch": 0.28, + "learning_rate": 8.421578729810693e-06, + "loss": 0.7163, + "step": 4149 + }, + { + "epoch": 0.28, + "learning_rate": 8.420775193869257e-06, + "loss": 0.9384, + "step": 4150 + }, + { + "epoch": 0.28, + "learning_rate": 8.41997149180515e-06, + "loss": 0.7669, + "step": 4151 + }, + { + "epoch": 0.28, + "learning_rate": 8.419167623657405e-06, + "loss": 0.7796, + "step": 4152 + }, + { + "epoch": 0.28, + "learning_rate": 8.418363589465055e-06, + "loss": 0.8736, + "step": 4153 + }, + { + "epoch": 0.28, + "learning_rate": 8.417559389267152e-06, + "loss": 0.8051, + "step": 4154 + }, + { + "epoch": 0.28, + "learning_rate": 8.416755023102743e-06, + "loss": 0.704, + "step": 4155 + }, + { + "epoch": 0.28, + "learning_rate": 8.415950491010897e-06, + "loss": 0.6425, + "step": 4156 + }, + { + "epoch": 0.28, + "learning_rate": 8.415145793030682e-06, + "loss": 0.6608, + "step": 4157 + }, + { + "epoch": 0.28, + "learning_rate": 8.414340929201175e-06, + "loss": 0.8935, + "step": 4158 + }, + { + "epoch": 0.28, + "learning_rate": 8.413535899561464e-06, + "loss": 0.7646, + "step": 4159 + }, + { + "epoch": 0.28, + "learning_rate": 8.412730704150643e-06, + "loss": 0.8719, + "step": 4160 + }, + { + "epoch": 0.28, + "learning_rate": 8.411925343007815e-06, + "loss": 0.8363, + "step": 4161 + }, + { + "epoch": 0.28, + "learning_rate": 8.411119816172091e-06, + "loss": 0.9259, + "step": 4162 + }, + { + "epoch": 0.28, + "learning_rate": 8.410314123682589e-06, + "loss": 0.855, + "step": 4163 + }, + { + "epoch": 0.28, + "learning_rate": 8.409508265578434e-06, + "loss": 0.7735, + "step": 4164 + }, + { + "epoch": 0.28, + "learning_rate": 8.408702241898766e-06, + "loss": 0.7124, + "step": 4165 + }, + { + "epoch": 0.28, + "learning_rate": 8.407896052682722e-06, + "loss": 0.8898, + "step": 4166 + }, + { + "epoch": 0.28, + "learning_rate": 8.407089697969458e-06, + "loss": 0.7625, + "step": 4167 + }, + { + "epoch": 0.28, + "learning_rate": 8.406283177798128e-06, + "loss": 0.9638, + "step": 4168 + }, + { + "epoch": 0.28, + "learning_rate": 8.405476492207902e-06, + "loss": 0.8085, + "step": 4169 + }, + { + "epoch": 0.28, + "learning_rate": 8.404669641237952e-06, + "loss": 0.9521, + "step": 4170 + }, + { + "epoch": 0.28, + "learning_rate": 8.403862624927466e-06, + "loss": 0.8079, + "step": 4171 + }, + { + "epoch": 0.28, + "learning_rate": 8.403055443315633e-06, + "loss": 0.6786, + "step": 4172 + }, + { + "epoch": 0.28, + "learning_rate": 8.40224809644165e-06, + "loss": 0.9015, + "step": 4173 + }, + { + "epoch": 0.28, + "learning_rate": 8.401440584344725e-06, + "loss": 0.71, + "step": 4174 + }, + { + "epoch": 0.28, + "learning_rate": 8.400632907064074e-06, + "loss": 0.8949, + "step": 4175 + }, + { + "epoch": 0.28, + "learning_rate": 8.39982506463892e-06, + "loss": 0.9994, + "step": 4176 + }, + { + "epoch": 0.28, + "learning_rate": 8.399017057108493e-06, + "loss": 0.9703, + "step": 4177 + }, + { + "epoch": 0.28, + "learning_rate": 8.398208884512033e-06, + "loss": 0.8754, + "step": 4178 + }, + { + "epoch": 0.28, + "learning_rate": 8.397400546888786e-06, + "loss": 0.9989, + "step": 4179 + }, + { + "epoch": 0.28, + "learning_rate": 8.396592044278012e-06, + "loss": 0.9009, + "step": 4180 + }, + { + "epoch": 0.28, + "learning_rate": 8.395783376718967e-06, + "loss": 0.6419, + "step": 4181 + }, + { + "epoch": 0.28, + "learning_rate": 8.394974544250926e-06, + "loss": 0.8321, + "step": 4182 + }, + { + "epoch": 0.28, + "learning_rate": 8.39416554691317e-06, + "loss": 0.9737, + "step": 4183 + }, + { + "epoch": 0.28, + "learning_rate": 8.393356384744983e-06, + "loss": 0.7804, + "step": 4184 + }, + { + "epoch": 0.28, + "learning_rate": 8.392547057785662e-06, + "loss": 0.6492, + "step": 4185 + }, + { + "epoch": 0.28, + "learning_rate": 8.39173756607451e-06, + "loss": 0.7625, + "step": 4186 + }, + { + "epoch": 0.28, + "learning_rate": 8.390927909650837e-06, + "loss": 0.6976, + "step": 4187 + }, + { + "epoch": 0.28, + "learning_rate": 8.390118088553963e-06, + "loss": 0.7535, + "step": 4188 + }, + { + "epoch": 0.29, + "learning_rate": 8.389308102823216e-06, + "loss": 0.9756, + "step": 4189 + }, + { + "epoch": 0.29, + "learning_rate": 8.38849795249793e-06, + "loss": 0.7612, + "step": 4190 + }, + { + "epoch": 0.29, + "learning_rate": 8.38768763761745e-06, + "loss": 0.4689, + "step": 4191 + }, + { + "epoch": 0.29, + "learning_rate": 8.386877158221124e-06, + "loss": 0.9496, + "step": 4192 + }, + { + "epoch": 0.29, + "learning_rate": 8.386066514348317e-06, + "loss": 0.6656, + "step": 4193 + }, + { + "epoch": 0.29, + "learning_rate": 8.38525570603839e-06, + "loss": 0.9797, + "step": 4194 + }, + { + "epoch": 0.29, + "learning_rate": 8.384444733330722e-06, + "loss": 0.6605, + "step": 4195 + }, + { + "epoch": 0.29, + "learning_rate": 8.383633596264694e-06, + "loss": 0.8816, + "step": 4196 + }, + { + "epoch": 0.29, + "learning_rate": 8.382822294879698e-06, + "loss": 0.7572, + "step": 4197 + }, + { + "epoch": 0.29, + "learning_rate": 8.382010829215131e-06, + "loss": 0.7113, + "step": 4198 + }, + { + "epoch": 0.29, + "learning_rate": 8.381199199310406e-06, + "loss": 0.7786, + "step": 4199 + }, + { + "epoch": 0.29, + "learning_rate": 8.380387405204932e-06, + "loss": 0.7427, + "step": 4200 + }, + { + "epoch": 0.29, + "learning_rate": 8.379575446938136e-06, + "loss": 0.8849, + "step": 4201 + }, + { + "epoch": 0.29, + "learning_rate": 8.378763324549446e-06, + "loss": 0.7419, + "step": 4202 + }, + { + "epoch": 0.29, + "learning_rate": 8.377951038078303e-06, + "loss": 0.7267, + "step": 4203 + }, + { + "epoch": 0.29, + "learning_rate": 8.377138587564152e-06, + "loss": 0.7326, + "step": 4204 + }, + { + "epoch": 0.29, + "learning_rate": 8.37632597304645e-06, + "loss": 0.7016, + "step": 4205 + }, + { + "epoch": 0.29, + "learning_rate": 8.37551319456466e-06, + "loss": 0.7808, + "step": 4206 + }, + { + "epoch": 0.29, + "learning_rate": 8.374700252158252e-06, + "loss": 0.7746, + "step": 4207 + }, + { + "epoch": 0.29, + "learning_rate": 8.373887145866704e-06, + "loss": 1.0231, + "step": 4208 + }, + { + "epoch": 0.29, + "learning_rate": 8.373073875729504e-06, + "loss": 0.5818, + "step": 4209 + }, + { + "epoch": 0.29, + "learning_rate": 8.372260441786146e-06, + "loss": 0.8631, + "step": 4210 + }, + { + "epoch": 0.29, + "learning_rate": 8.371446844076135e-06, + "loss": 0.784, + "step": 4211 + }, + { + "epoch": 0.29, + "learning_rate": 8.370633082638977e-06, + "loss": 0.7435, + "step": 4212 + }, + { + "epoch": 0.29, + "learning_rate": 8.369819157514195e-06, + "loss": 0.7259, + "step": 4213 + }, + { + "epoch": 0.29, + "learning_rate": 8.369005068741314e-06, + "loss": 0.9157, + "step": 4214 + }, + { + "epoch": 0.29, + "learning_rate": 8.368190816359867e-06, + "loss": 0.7426, + "step": 4215 + }, + { + "epoch": 0.29, + "learning_rate": 8.3673764004094e-06, + "loss": 0.9047, + "step": 4216 + }, + { + "epoch": 0.29, + "learning_rate": 8.366561820929457e-06, + "loss": 0.7283, + "step": 4217 + }, + { + "epoch": 0.29, + "learning_rate": 8.365747077959605e-06, + "loss": 0.9181, + "step": 4218 + }, + { + "epoch": 0.29, + "learning_rate": 8.364932171539403e-06, + "loss": 0.7514, + "step": 4219 + }, + { + "epoch": 0.29, + "learning_rate": 8.364117101708428e-06, + "loss": 0.7535, + "step": 4220 + }, + { + "epoch": 0.29, + "learning_rate": 8.363301868506264e-06, + "loss": 0.7552, + "step": 4221 + }, + { + "epoch": 0.29, + "learning_rate": 8.362486471972498e-06, + "loss": 0.8279, + "step": 4222 + }, + { + "epoch": 0.29, + "learning_rate": 8.361670912146728e-06, + "loss": 0.7095, + "step": 4223 + }, + { + "epoch": 0.29, + "learning_rate": 8.360855189068562e-06, + "loss": 0.8333, + "step": 4224 + }, + { + "epoch": 0.29, + "learning_rate": 8.360039302777614e-06, + "loss": 0.704, + "step": 4225 + }, + { + "epoch": 0.29, + "learning_rate": 8.359223253313501e-06, + "loss": 0.7996, + "step": 4226 + }, + { + "epoch": 0.29, + "learning_rate": 8.358407040715861e-06, + "loss": 0.5944, + "step": 4227 + }, + { + "epoch": 0.29, + "learning_rate": 8.357590665024324e-06, + "loss": 0.5692, + "step": 4228 + }, + { + "epoch": 0.29, + "learning_rate": 8.35677412627854e-06, + "loss": 0.8138, + "step": 4229 + }, + { + "epoch": 0.29, + "learning_rate": 8.35595742451816e-06, + "loss": 1.0958, + "step": 4230 + }, + { + "epoch": 0.29, + "learning_rate": 8.355140559782847e-06, + "loss": 0.6744, + "step": 4231 + }, + { + "epoch": 0.29, + "learning_rate": 8.35432353211227e-06, + "loss": 0.9004, + "step": 4232 + }, + { + "epoch": 0.29, + "learning_rate": 8.353506341546106e-06, + "loss": 0.691, + "step": 4233 + }, + { + "epoch": 0.29, + "learning_rate": 8.35268898812404e-06, + "loss": 0.9569, + "step": 4234 + }, + { + "epoch": 0.29, + "learning_rate": 8.351871471885764e-06, + "loss": 0.7045, + "step": 4235 + }, + { + "epoch": 0.29, + "learning_rate": 8.35105379287098e-06, + "loss": 0.7309, + "step": 4236 + }, + { + "epoch": 0.29, + "learning_rate": 8.350235951119398e-06, + "loss": 0.8036, + "step": 4237 + }, + { + "epoch": 0.29, + "learning_rate": 8.349417946670732e-06, + "loss": 1.0012, + "step": 4238 + }, + { + "epoch": 0.29, + "learning_rate": 8.34859977956471e-06, + "loss": 0.6157, + "step": 4239 + }, + { + "epoch": 0.29, + "learning_rate": 8.347781449841063e-06, + "loss": 1.0372, + "step": 4240 + }, + { + "epoch": 0.29, + "learning_rate": 8.34696295753953e-06, + "loss": 0.9931, + "step": 4241 + }, + { + "epoch": 0.29, + "learning_rate": 8.346144302699861e-06, + "loss": 0.83, + "step": 4242 + }, + { + "epoch": 0.29, + "learning_rate": 8.345325485361811e-06, + "loss": 1.2426, + "step": 4243 + }, + { + "epoch": 0.29, + "learning_rate": 8.344506505565146e-06, + "loss": 0.8011, + "step": 4244 + }, + { + "epoch": 0.29, + "learning_rate": 8.343687363349637e-06, + "loss": 0.6191, + "step": 4245 + }, + { + "epoch": 0.29, + "learning_rate": 8.342868058755062e-06, + "loss": 0.659, + "step": 4246 + }, + { + "epoch": 0.29, + "learning_rate": 8.342048591821213e-06, + "loss": 0.7649, + "step": 4247 + }, + { + "epoch": 0.29, + "learning_rate": 8.341228962587881e-06, + "loss": 0.7124, + "step": 4248 + }, + { + "epoch": 0.29, + "learning_rate": 8.340409171094874e-06, + "loss": 0.9972, + "step": 4249 + }, + { + "epoch": 0.29, + "learning_rate": 8.339589217382e-06, + "loss": 0.8691, + "step": 4250 + }, + { + "epoch": 0.29, + "learning_rate": 8.338769101489081e-06, + "loss": 0.8059, + "step": 4251 + }, + { + "epoch": 0.29, + "learning_rate": 8.337948823455941e-06, + "loss": 0.8314, + "step": 4252 + }, + { + "epoch": 0.29, + "learning_rate": 8.337128383322418e-06, + "loss": 0.7316, + "step": 4253 + }, + { + "epoch": 0.29, + "learning_rate": 8.336307781128354e-06, + "loss": 0.8416, + "step": 4254 + }, + { + "epoch": 0.29, + "learning_rate": 8.335487016913597e-06, + "loss": 0.8287, + "step": 4255 + }, + { + "epoch": 0.29, + "learning_rate": 8.334666090718012e-06, + "loss": 0.8036, + "step": 4256 + }, + { + "epoch": 0.29, + "learning_rate": 8.33384500258146e-06, + "loss": 1.1051, + "step": 4257 + }, + { + "epoch": 0.29, + "learning_rate": 8.333023752543816e-06, + "loss": 0.6645, + "step": 4258 + }, + { + "epoch": 0.29, + "learning_rate": 8.332202340644964e-06, + "loss": 0.6904, + "step": 4259 + }, + { + "epoch": 0.29, + "learning_rate": 8.331380766924794e-06, + "loss": 0.8183, + "step": 4260 + }, + { + "epoch": 0.29, + "learning_rate": 8.330559031423204e-06, + "loss": 0.8887, + "step": 4261 + }, + { + "epoch": 0.29, + "learning_rate": 8.329737134180097e-06, + "loss": 0.6392, + "step": 4262 + }, + { + "epoch": 0.29, + "learning_rate": 8.328915075235393e-06, + "loss": 0.6642, + "step": 4263 + }, + { + "epoch": 0.29, + "learning_rate": 8.328092854629005e-06, + "loss": 0.6883, + "step": 4264 + }, + { + "epoch": 0.29, + "learning_rate": 8.32727047240087e-06, + "loss": 0.7613, + "step": 4265 + }, + { + "epoch": 0.29, + "learning_rate": 8.326447928590921e-06, + "loss": 0.7726, + "step": 4266 + }, + { + "epoch": 0.29, + "learning_rate": 8.325625223239106e-06, + "loss": 0.8643, + "step": 4267 + }, + { + "epoch": 0.29, + "learning_rate": 8.324802356385375e-06, + "loss": 0.7809, + "step": 4268 + }, + { + "epoch": 0.29, + "learning_rate": 8.323979328069689e-06, + "loss": 0.8189, + "step": 4269 + }, + { + "epoch": 0.29, + "learning_rate": 8.32315613833202e-06, + "loss": 0.7505, + "step": 4270 + }, + { + "epoch": 0.29, + "learning_rate": 8.32233278721234e-06, + "loss": 0.774, + "step": 4271 + }, + { + "epoch": 0.29, + "learning_rate": 8.321509274750637e-06, + "loss": 0.6313, + "step": 4272 + }, + { + "epoch": 0.29, + "learning_rate": 8.3206856009869e-06, + "loss": 0.945, + "step": 4273 + }, + { + "epoch": 0.29, + "learning_rate": 8.319861765961132e-06, + "loss": 0.745, + "step": 4274 + }, + { + "epoch": 0.29, + "learning_rate": 8.319037769713338e-06, + "loss": 0.9753, + "step": 4275 + }, + { + "epoch": 0.29, + "learning_rate": 8.318213612283536e-06, + "loss": 0.8855, + "step": 4276 + }, + { + "epoch": 0.29, + "learning_rate": 8.317389293711747e-06, + "loss": 1.0914, + "step": 4277 + }, + { + "epoch": 0.29, + "learning_rate": 8.316564814038004e-06, + "loss": 0.7274, + "step": 4278 + }, + { + "epoch": 0.29, + "learning_rate": 8.315740173302346e-06, + "loss": 0.7194, + "step": 4279 + }, + { + "epoch": 0.29, + "learning_rate": 8.314915371544822e-06, + "loss": 0.7496, + "step": 4280 + }, + { + "epoch": 0.29, + "learning_rate": 8.314090408805481e-06, + "loss": 0.6147, + "step": 4281 + }, + { + "epoch": 0.29, + "learning_rate": 8.31326528512439e-06, + "loss": 0.9846, + "step": 4282 + }, + { + "epoch": 0.29, + "learning_rate": 8.31244000054162e-06, + "loss": 0.6757, + "step": 4283 + }, + { + "epoch": 0.29, + "learning_rate": 8.311614555097245e-06, + "loss": 0.9151, + "step": 4284 + }, + { + "epoch": 0.29, + "learning_rate": 8.310788948831355e-06, + "loss": 0.5397, + "step": 4285 + }, + { + "epoch": 0.29, + "learning_rate": 8.309963181784042e-06, + "loss": 0.9606, + "step": 4286 + }, + { + "epoch": 0.29, + "learning_rate": 8.309137253995407e-06, + "loss": 0.605, + "step": 4287 + }, + { + "epoch": 0.29, + "learning_rate": 8.308311165505562e-06, + "loss": 0.6413, + "step": 4288 + }, + { + "epoch": 0.29, + "learning_rate": 8.307484916354623e-06, + "loss": 0.7623, + "step": 4289 + }, + { + "epoch": 0.29, + "learning_rate": 8.306658506582713e-06, + "loss": 0.7837, + "step": 4290 + }, + { + "epoch": 0.29, + "learning_rate": 8.305831936229966e-06, + "loss": 0.6698, + "step": 4291 + }, + { + "epoch": 0.29, + "learning_rate": 8.305005205336526e-06, + "loss": 0.6751, + "step": 4292 + }, + { + "epoch": 0.29, + "learning_rate": 8.304178313942536e-06, + "loss": 0.8874, + "step": 4293 + }, + { + "epoch": 0.29, + "learning_rate": 8.303351262088155e-06, + "loss": 0.6544, + "step": 4294 + }, + { + "epoch": 0.29, + "learning_rate": 8.302524049813548e-06, + "loss": 0.8532, + "step": 4295 + }, + { + "epoch": 0.29, + "learning_rate": 8.301696677158885e-06, + "loss": 1.122, + "step": 4296 + }, + { + "epoch": 0.29, + "learning_rate": 8.300869144164346e-06, + "loss": 0.6144, + "step": 4297 + }, + { + "epoch": 0.29, + "learning_rate": 8.300041450870118e-06, + "loss": 1.0826, + "step": 4298 + }, + { + "epoch": 0.29, + "learning_rate": 8.299213597316398e-06, + "loss": 0.9065, + "step": 4299 + }, + { + "epoch": 0.29, + "learning_rate": 8.298385583543387e-06, + "loss": 0.9832, + "step": 4300 + }, + { + "epoch": 0.29, + "learning_rate": 8.297557409591297e-06, + "loss": 0.8523, + "step": 4301 + }, + { + "epoch": 0.29, + "learning_rate": 8.296729075500345e-06, + "loss": 1.1207, + "step": 4302 + }, + { + "epoch": 0.29, + "learning_rate": 8.295900581310758e-06, + "loss": 0.8024, + "step": 4303 + }, + { + "epoch": 0.29, + "learning_rate": 8.295071927062772e-06, + "loss": 0.5931, + "step": 4304 + }, + { + "epoch": 0.29, + "learning_rate": 8.294243112796625e-06, + "loss": 0.7715, + "step": 4305 + }, + { + "epoch": 0.29, + "learning_rate": 8.29341413855257e-06, + "loss": 0.5714, + "step": 4306 + }, + { + "epoch": 0.29, + "learning_rate": 8.292585004370863e-06, + "loss": 0.5132, + "step": 4307 + }, + { + "epoch": 0.29, + "learning_rate": 8.29175571029177e-06, + "loss": 0.7884, + "step": 4308 + }, + { + "epoch": 0.29, + "learning_rate": 8.29092625635556e-06, + "loss": 0.6462, + "step": 4309 + }, + { + "epoch": 0.29, + "learning_rate": 8.290096642602519e-06, + "loss": 0.8361, + "step": 4310 + }, + { + "epoch": 0.29, + "learning_rate": 8.289266869072933e-06, + "loss": 0.7823, + "step": 4311 + }, + { + "epoch": 0.29, + "learning_rate": 8.288436935807098e-06, + "loss": 0.6485, + "step": 4312 + }, + { + "epoch": 0.29, + "learning_rate": 8.28760684284532e-06, + "loss": 0.6895, + "step": 4313 + }, + { + "epoch": 0.29, + "learning_rate": 8.286776590227907e-06, + "loss": 0.8787, + "step": 4314 + }, + { + "epoch": 0.29, + "learning_rate": 8.28594617799518e-06, + "loss": 0.7428, + "step": 4315 + }, + { + "epoch": 0.29, + "learning_rate": 8.285115606187468e-06, + "loss": 0.4862, + "step": 4316 + }, + { + "epoch": 0.29, + "learning_rate": 8.284284874845104e-06, + "loss": 0.9828, + "step": 4317 + }, + { + "epoch": 0.29, + "learning_rate": 8.283453984008433e-06, + "loss": 0.6834, + "step": 4318 + }, + { + "epoch": 0.29, + "learning_rate": 8.282622933717802e-06, + "loss": 0.807, + "step": 4319 + }, + { + "epoch": 0.29, + "learning_rate": 8.281791724013571e-06, + "loss": 0.8779, + "step": 4320 + }, + { + "epoch": 0.29, + "learning_rate": 8.280960354936107e-06, + "loss": 1.0557, + "step": 4321 + }, + { + "epoch": 0.29, + "learning_rate": 8.280128826525782e-06, + "loss": 0.7624, + "step": 4322 + }, + { + "epoch": 0.29, + "learning_rate": 8.279297138822976e-06, + "loss": 0.8036, + "step": 4323 + }, + { + "epoch": 0.29, + "learning_rate": 8.278465291868083e-06, + "loss": 0.8638, + "step": 4324 + }, + { + "epoch": 0.29, + "learning_rate": 8.277633285701496e-06, + "loss": 0.7001, + "step": 4325 + }, + { + "epoch": 0.29, + "learning_rate": 8.276801120363622e-06, + "loss": 1.0777, + "step": 4326 + }, + { + "epoch": 0.29, + "learning_rate": 8.275968795894869e-06, + "loss": 0.615, + "step": 4327 + }, + { + "epoch": 0.29, + "learning_rate": 8.27513631233566e-06, + "loss": 0.7705, + "step": 4328 + }, + { + "epoch": 0.29, + "learning_rate": 8.274303669726427e-06, + "loss": 0.8781, + "step": 4329 + }, + { + "epoch": 0.29, + "learning_rate": 8.273470868107599e-06, + "loss": 0.9043, + "step": 4330 + }, + { + "epoch": 0.29, + "learning_rate": 8.27263790751962e-06, + "loss": 0.8549, + "step": 4331 + }, + { + "epoch": 0.29, + "learning_rate": 8.271804788002944e-06, + "loss": 0.7219, + "step": 4332 + }, + { + "epoch": 0.29, + "learning_rate": 8.270971509598026e-06, + "loss": 0.6915, + "step": 4333 + }, + { + "epoch": 0.29, + "learning_rate": 8.270138072345338e-06, + "loss": 0.6711, + "step": 4334 + }, + { + "epoch": 0.29, + "learning_rate": 8.269304476285349e-06, + "loss": 0.6757, + "step": 4335 + }, + { + "epoch": 0.3, + "learning_rate": 8.268470721458543e-06, + "loss": 0.8409, + "step": 4336 + }, + { + "epoch": 0.3, + "learning_rate": 8.26763680790541e-06, + "loss": 0.8612, + "step": 4337 + }, + { + "epoch": 0.3, + "learning_rate": 8.266802735666443e-06, + "loss": 0.771, + "step": 4338 + }, + { + "epoch": 0.3, + "learning_rate": 8.265968504782152e-06, + "loss": 0.7613, + "step": 4339 + }, + { + "epoch": 0.3, + "learning_rate": 8.26513411529305e-06, + "loss": 0.9205, + "step": 4340 + }, + { + "epoch": 0.3, + "learning_rate": 8.264299567239652e-06, + "loss": 0.9012, + "step": 4341 + }, + { + "epoch": 0.3, + "learning_rate": 8.263464860662491e-06, + "loss": 0.7458, + "step": 4342 + }, + { + "epoch": 0.3, + "learning_rate": 8.2626299956021e-06, + "loss": 0.8245, + "step": 4343 + }, + { + "epoch": 0.3, + "learning_rate": 8.261794972099023e-06, + "loss": 0.4957, + "step": 4344 + }, + { + "epoch": 0.3, + "learning_rate": 8.260959790193815e-06, + "loss": 0.6038, + "step": 4345 + }, + { + "epoch": 0.3, + "learning_rate": 8.260124449927028e-06, + "loss": 0.8312, + "step": 4346 + }, + { + "epoch": 0.3, + "learning_rate": 8.259288951339233e-06, + "loss": 0.9184, + "step": 4347 + }, + { + "epoch": 0.3, + "learning_rate": 8.258453294471005e-06, + "loss": 0.866, + "step": 4348 + }, + { + "epoch": 0.3, + "learning_rate": 8.257617479362921e-06, + "loss": 0.9124, + "step": 4349 + }, + { + "epoch": 0.3, + "learning_rate": 8.256781506055575e-06, + "loss": 1.0093, + "step": 4350 + }, + { + "epoch": 0.3, + "learning_rate": 8.255945374589563e-06, + "loss": 0.7121, + "step": 4351 + }, + { + "epoch": 0.3, + "learning_rate": 8.25510908500549e-06, + "loss": 0.7854, + "step": 4352 + }, + { + "epoch": 0.3, + "learning_rate": 8.254272637343968e-06, + "loss": 0.5462, + "step": 4353 + }, + { + "epoch": 0.3, + "learning_rate": 8.253436031645618e-06, + "loss": 0.7305, + "step": 4354 + }, + { + "epoch": 0.3, + "learning_rate": 8.252599267951068e-06, + "loss": 0.6693, + "step": 4355 + }, + { + "epoch": 0.3, + "learning_rate": 8.251762346300954e-06, + "loss": 0.7308, + "step": 4356 + }, + { + "epoch": 0.3, + "learning_rate": 8.25092526673592e-06, + "loss": 0.7242, + "step": 4357 + }, + { + "epoch": 0.3, + "learning_rate": 8.250088029296613e-06, + "loss": 0.8416, + "step": 4358 + }, + { + "epoch": 0.3, + "learning_rate": 8.249250634023694e-06, + "loss": 0.9505, + "step": 4359 + }, + { + "epoch": 0.3, + "learning_rate": 8.248413080957831e-06, + "loss": 0.5899, + "step": 4360 + }, + { + "epoch": 0.3, + "learning_rate": 8.247575370139695e-06, + "loss": 0.8542, + "step": 4361 + }, + { + "epoch": 0.3, + "learning_rate": 8.246737501609972e-06, + "loss": 0.5748, + "step": 4362 + }, + { + "epoch": 0.3, + "learning_rate": 8.245899475409348e-06, + "loss": 0.7629, + "step": 4363 + }, + { + "epoch": 0.3, + "learning_rate": 8.24506129157852e-06, + "loss": 0.8132, + "step": 4364 + }, + { + "epoch": 0.3, + "learning_rate": 8.244222950158194e-06, + "loss": 0.7382, + "step": 4365 + }, + { + "epoch": 0.3, + "learning_rate": 8.24338445118908e-06, + "loss": 1.0812, + "step": 4366 + }, + { + "epoch": 0.3, + "learning_rate": 8.242545794711901e-06, + "loss": 0.9124, + "step": 4367 + }, + { + "epoch": 0.3, + "learning_rate": 8.241706980767382e-06, + "loss": 0.646, + "step": 4368 + }, + { + "epoch": 0.3, + "learning_rate": 8.240868009396259e-06, + "loss": 1.0462, + "step": 4369 + }, + { + "epoch": 0.3, + "learning_rate": 8.240028880639277e-06, + "loss": 0.8156, + "step": 4370 + }, + { + "epoch": 0.3, + "learning_rate": 8.239189594537181e-06, + "loss": 0.9519, + "step": 4371 + }, + { + "epoch": 0.3, + "learning_rate": 8.238350151130734e-06, + "loss": 0.9143, + "step": 4372 + }, + { + "epoch": 0.3, + "learning_rate": 8.237510550460703e-06, + "loss": 0.8161, + "step": 4373 + }, + { + "epoch": 0.3, + "learning_rate": 8.236670792567856e-06, + "loss": 0.7652, + "step": 4374 + }, + { + "epoch": 0.3, + "learning_rate": 8.23583087749298e-06, + "loss": 0.7506, + "step": 4375 + }, + { + "epoch": 0.3, + "learning_rate": 8.234990805276856e-06, + "loss": 0.8203, + "step": 4376 + }, + { + "epoch": 0.3, + "learning_rate": 8.234150575960288e-06, + "loss": 1.0766, + "step": 4377 + }, + { + "epoch": 0.3, + "learning_rate": 8.233310189584077e-06, + "loss": 0.6997, + "step": 4378 + }, + { + "epoch": 0.3, + "learning_rate": 8.232469646189033e-06, + "loss": 0.4352, + "step": 4379 + }, + { + "epoch": 0.3, + "learning_rate": 8.231628945815977e-06, + "loss": 0.8894, + "step": 4380 + }, + { + "epoch": 0.3, + "learning_rate": 8.230788088505737e-06, + "loss": 0.5829, + "step": 4381 + }, + { + "epoch": 0.3, + "learning_rate": 8.229947074299144e-06, + "loss": 0.906, + "step": 4382 + }, + { + "epoch": 0.3, + "learning_rate": 8.229105903237045e-06, + "loss": 0.7391, + "step": 4383 + }, + { + "epoch": 0.3, + "learning_rate": 8.228264575360284e-06, + "loss": 0.4736, + "step": 4384 + }, + { + "epoch": 0.3, + "learning_rate": 8.227423090709722e-06, + "loss": 1.0487, + "step": 4385 + }, + { + "epoch": 0.3, + "learning_rate": 8.226581449326223e-06, + "loss": 0.6315, + "step": 4386 + }, + { + "epoch": 0.3, + "learning_rate": 8.22573965125066e-06, + "loss": 0.6612, + "step": 4387 + }, + { + "epoch": 0.3, + "learning_rate": 8.22489769652391e-06, + "loss": 0.5051, + "step": 4388 + }, + { + "epoch": 0.3, + "learning_rate": 8.224055585186866e-06, + "loss": 0.5658, + "step": 4389 + }, + { + "epoch": 0.3, + "learning_rate": 8.223213317280419e-06, + "loss": 0.8982, + "step": 4390 + }, + { + "epoch": 0.3, + "learning_rate": 8.222370892845475e-06, + "loss": 0.6737, + "step": 4391 + }, + { + "epoch": 0.3, + "learning_rate": 8.221528311922941e-06, + "loss": 0.7363, + "step": 4392 + }, + { + "epoch": 0.3, + "learning_rate": 8.220685574553739e-06, + "loss": 0.776, + "step": 4393 + }, + { + "epoch": 0.3, + "learning_rate": 8.219842680778793e-06, + "loss": 0.7476, + "step": 4394 + }, + { + "epoch": 0.3, + "learning_rate": 8.218999630639037e-06, + "loss": 0.6811, + "step": 4395 + }, + { + "epoch": 0.3, + "learning_rate": 8.21815642417541e-06, + "loss": 0.9014, + "step": 4396 + }, + { + "epoch": 0.3, + "learning_rate": 8.217313061428863e-06, + "loss": 0.7525, + "step": 4397 + }, + { + "epoch": 0.3, + "learning_rate": 8.21646954244035e-06, + "loss": 0.7643, + "step": 4398 + }, + { + "epoch": 0.3, + "learning_rate": 8.215625867250836e-06, + "loss": 0.8575, + "step": 4399 + }, + { + "epoch": 0.3, + "learning_rate": 8.214782035901292e-06, + "loss": 1.0544, + "step": 4400 + }, + { + "epoch": 0.3, + "learning_rate": 8.213938048432697e-06, + "loss": 0.9196, + "step": 4401 + }, + { + "epoch": 0.3, + "learning_rate": 8.213093904886038e-06, + "loss": 1.0599, + "step": 4402 + }, + { + "epoch": 0.3, + "learning_rate": 8.212249605302307e-06, + "loss": 0.7187, + "step": 4403 + }, + { + "epoch": 0.3, + "learning_rate": 8.211405149722507e-06, + "loss": 0.7339, + "step": 4404 + }, + { + "epoch": 0.3, + "learning_rate": 8.210560538187648e-06, + "loss": 0.825, + "step": 4405 + }, + { + "epoch": 0.3, + "learning_rate": 8.209715770738746e-06, + "loss": 0.7155, + "step": 4406 + }, + { + "epoch": 0.3, + "learning_rate": 8.208870847416824e-06, + "loss": 0.7497, + "step": 4407 + }, + { + "epoch": 0.3, + "learning_rate": 8.208025768262917e-06, + "loss": 0.7263, + "step": 4408 + }, + { + "epoch": 0.3, + "learning_rate": 8.207180533318061e-06, + "loss": 0.913, + "step": 4409 + }, + { + "epoch": 0.3, + "learning_rate": 8.206335142623305e-06, + "loss": 0.9457, + "step": 4410 + }, + { + "epoch": 0.3, + "learning_rate": 8.205489596219705e-06, + "loss": 0.8204, + "step": 4411 + }, + { + "epoch": 0.3, + "learning_rate": 8.204643894148318e-06, + "loss": 0.8116, + "step": 4412 + }, + { + "epoch": 0.3, + "learning_rate": 8.203798036450222e-06, + "loss": 0.6594, + "step": 4413 + }, + { + "epoch": 0.3, + "learning_rate": 8.202952023166485e-06, + "loss": 0.694, + "step": 4414 + }, + { + "epoch": 0.3, + "learning_rate": 8.202105854338197e-06, + "loss": 1.2451, + "step": 4415 + }, + { + "epoch": 0.3, + "learning_rate": 8.201259530006452e-06, + "loss": 0.745, + "step": 4416 + }, + { + "epoch": 0.3, + "learning_rate": 8.200413050212344e-06, + "loss": 0.9576, + "step": 4417 + }, + { + "epoch": 0.3, + "learning_rate": 8.199566414996986e-06, + "loss": 0.6154, + "step": 4418 + }, + { + "epoch": 0.3, + "learning_rate": 8.198719624401493e-06, + "loss": 0.8646, + "step": 4419 + }, + { + "epoch": 0.3, + "learning_rate": 8.197872678466982e-06, + "loss": 0.7257, + "step": 4420 + }, + { + "epoch": 0.3, + "learning_rate": 8.19702557723459e-06, + "loss": 0.8807, + "step": 4421 + }, + { + "epoch": 0.3, + "learning_rate": 8.196178320745449e-06, + "loss": 0.7734, + "step": 4422 + }, + { + "epoch": 0.3, + "learning_rate": 8.195330909040709e-06, + "loss": 0.6037, + "step": 4423 + }, + { + "epoch": 0.3, + "learning_rate": 8.194483342161518e-06, + "loss": 1.129, + "step": 4424 + }, + { + "epoch": 0.3, + "learning_rate": 8.193635620149041e-06, + "loss": 0.8683, + "step": 4425 + }, + { + "epoch": 0.3, + "learning_rate": 8.192787743044442e-06, + "loss": 0.7618, + "step": 4426 + }, + { + "epoch": 0.3, + "learning_rate": 8.1919397108889e-06, + "loss": 1.0441, + "step": 4427 + }, + { + "epoch": 0.3, + "learning_rate": 8.191091523723594e-06, + "loss": 0.7368, + "step": 4428 + }, + { + "epoch": 0.3, + "learning_rate": 8.190243181589716e-06, + "loss": 0.6371, + "step": 4429 + }, + { + "epoch": 0.3, + "learning_rate": 8.189394684528465e-06, + "loss": 0.7709, + "step": 4430 + }, + { + "epoch": 0.3, + "learning_rate": 8.188546032581043e-06, + "loss": 0.7824, + "step": 4431 + }, + { + "epoch": 0.3, + "learning_rate": 8.18769722578867e-06, + "loss": 0.5721, + "step": 4432 + }, + { + "epoch": 0.3, + "learning_rate": 8.18684826419256e-06, + "loss": 0.5744, + "step": 4433 + }, + { + "epoch": 0.3, + "learning_rate": 8.185999147833943e-06, + "loss": 0.6027, + "step": 4434 + }, + { + "epoch": 0.3, + "learning_rate": 8.185149876754054e-06, + "loss": 0.9564, + "step": 4435 + }, + { + "epoch": 0.3, + "learning_rate": 8.184300450994137e-06, + "loss": 0.5719, + "step": 4436 + }, + { + "epoch": 0.3, + "learning_rate": 8.183450870595443e-06, + "loss": 1.0962, + "step": 4437 + }, + { + "epoch": 0.3, + "learning_rate": 8.182601135599227e-06, + "loss": 0.8051, + "step": 4438 + }, + { + "epoch": 0.3, + "learning_rate": 8.181751246046758e-06, + "loss": 0.6535, + "step": 4439 + }, + { + "epoch": 0.3, + "learning_rate": 8.18090120197931e-06, + "loss": 0.7027, + "step": 4440 + }, + { + "epoch": 0.3, + "learning_rate": 8.180051003438158e-06, + "loss": 0.8369, + "step": 4441 + }, + { + "epoch": 0.3, + "learning_rate": 8.179200650464596e-06, + "loss": 1.059, + "step": 4442 + }, + { + "epoch": 0.3, + "learning_rate": 8.178350143099916e-06, + "loss": 0.6554, + "step": 4443 + }, + { + "epoch": 0.3, + "learning_rate": 8.177499481385422e-06, + "loss": 0.7362, + "step": 4444 + }, + { + "epoch": 0.3, + "learning_rate": 8.176648665362426e-06, + "loss": 0.9928, + "step": 4445 + }, + { + "epoch": 0.3, + "learning_rate": 8.175797695072245e-06, + "loss": 0.9033, + "step": 4446 + }, + { + "epoch": 0.3, + "learning_rate": 8.174946570556204e-06, + "loss": 0.956, + "step": 4447 + }, + { + "epoch": 0.3, + "learning_rate": 8.174095291855636e-06, + "loss": 0.9656, + "step": 4448 + }, + { + "epoch": 0.3, + "learning_rate": 8.173243859011881e-06, + "loss": 0.9286, + "step": 4449 + }, + { + "epoch": 0.3, + "learning_rate": 8.17239227206629e-06, + "loss": 0.8498, + "step": 4450 + }, + { + "epoch": 0.3, + "learning_rate": 8.171540531060216e-06, + "loss": 0.708, + "step": 4451 + }, + { + "epoch": 0.3, + "learning_rate": 8.170688636035023e-06, + "loss": 0.7294, + "step": 4452 + }, + { + "epoch": 0.3, + "learning_rate": 8.169836587032079e-06, + "loss": 0.9233, + "step": 4453 + }, + { + "epoch": 0.3, + "learning_rate": 8.168984384092766e-06, + "loss": 0.738, + "step": 4454 + }, + { + "epoch": 0.3, + "learning_rate": 8.168132027258467e-06, + "loss": 0.8109, + "step": 4455 + }, + { + "epoch": 0.3, + "learning_rate": 8.167279516570576e-06, + "loss": 0.6972, + "step": 4456 + }, + { + "epoch": 0.3, + "learning_rate": 8.16642685207049e-06, + "loss": 0.8974, + "step": 4457 + }, + { + "epoch": 0.3, + "learning_rate": 8.16557403379962e-06, + "loss": 0.608, + "step": 4458 + }, + { + "epoch": 0.3, + "learning_rate": 8.164721061799384e-06, + "loss": 0.6363, + "step": 4459 + }, + { + "epoch": 0.3, + "learning_rate": 8.1638679361112e-06, + "loss": 0.6422, + "step": 4460 + }, + { + "epoch": 0.3, + "learning_rate": 8.163014656776499e-06, + "loss": 0.9607, + "step": 4461 + }, + { + "epoch": 0.3, + "learning_rate": 8.16216122383672e-06, + "loss": 0.5868, + "step": 4462 + }, + { + "epoch": 0.3, + "learning_rate": 8.161307637333307e-06, + "loss": 0.8789, + "step": 4463 + }, + { + "epoch": 0.3, + "learning_rate": 8.160453897307714e-06, + "loss": 0.9891, + "step": 4464 + }, + { + "epoch": 0.3, + "learning_rate": 8.159600003801401e-06, + "loss": 0.5723, + "step": 4465 + }, + { + "epoch": 0.3, + "learning_rate": 8.158745956855834e-06, + "loss": 0.6332, + "step": 4466 + }, + { + "epoch": 0.3, + "learning_rate": 8.157891756512488e-06, + "loss": 0.8247, + "step": 4467 + }, + { + "epoch": 0.3, + "learning_rate": 8.157037402812848e-06, + "loss": 0.7584, + "step": 4468 + }, + { + "epoch": 0.3, + "learning_rate": 8.156182895798402e-06, + "loss": 0.369, + "step": 4469 + }, + { + "epoch": 0.3, + "learning_rate": 8.155328235510646e-06, + "loss": 0.8279, + "step": 4470 + }, + { + "epoch": 0.3, + "learning_rate": 8.154473421991087e-06, + "loss": 1.0003, + "step": 4471 + }, + { + "epoch": 0.3, + "learning_rate": 8.153618455281236e-06, + "loss": 0.5433, + "step": 4472 + }, + { + "epoch": 0.3, + "learning_rate": 8.152763335422612e-06, + "loss": 0.663, + "step": 4473 + }, + { + "epoch": 0.3, + "learning_rate": 8.151908062456746e-06, + "loss": 0.7146, + "step": 4474 + }, + { + "epoch": 0.3, + "learning_rate": 8.151052636425169e-06, + "loss": 0.6106, + "step": 4475 + }, + { + "epoch": 0.3, + "learning_rate": 8.150197057369422e-06, + "loss": 0.9209, + "step": 4476 + }, + { + "epoch": 0.3, + "learning_rate": 8.149341325331056e-06, + "loss": 0.8069, + "step": 4477 + }, + { + "epoch": 0.3, + "learning_rate": 8.148485440351628e-06, + "loss": 0.577, + "step": 4478 + }, + { + "epoch": 0.3, + "learning_rate": 8.147629402472703e-06, + "loss": 1.1098, + "step": 4479 + }, + { + "epoch": 0.3, + "learning_rate": 8.14677321173585e-06, + "loss": 1.0187, + "step": 4480 + }, + { + "epoch": 0.3, + "learning_rate": 8.145916868182652e-06, + "loss": 0.7468, + "step": 4481 + }, + { + "epoch": 0.3, + "learning_rate": 8.145060371854692e-06, + "loss": 0.8441, + "step": 4482 + }, + { + "epoch": 0.31, + "learning_rate": 8.144203722793564e-06, + "loss": 0.6721, + "step": 4483 + }, + { + "epoch": 0.31, + "learning_rate": 8.143346921040873e-06, + "loss": 0.832, + "step": 4484 + }, + { + "epoch": 0.31, + "learning_rate": 8.142489966638223e-06, + "loss": 0.9015, + "step": 4485 + }, + { + "epoch": 0.31, + "learning_rate": 8.141632859627234e-06, + "loss": 0.7071, + "step": 4486 + }, + { + "epoch": 0.31, + "learning_rate": 8.140775600049526e-06, + "loss": 0.7119, + "step": 4487 + }, + { + "epoch": 0.31, + "learning_rate": 8.139918187946734e-06, + "loss": 0.6955, + "step": 4488 + }, + { + "epoch": 0.31, + "learning_rate": 8.139060623360494e-06, + "loss": 0.9389, + "step": 4489 + }, + { + "epoch": 0.31, + "learning_rate": 8.138202906332452e-06, + "loss": 0.6002, + "step": 4490 + }, + { + "epoch": 0.31, + "learning_rate": 8.13734503690426e-06, + "loss": 0.7143, + "step": 4491 + }, + { + "epoch": 0.31, + "learning_rate": 8.136487015117582e-06, + "loss": 0.6518, + "step": 4492 + }, + { + "epoch": 0.31, + "learning_rate": 8.135628841014082e-06, + "loss": 0.8551, + "step": 4493 + }, + { + "epoch": 0.31, + "learning_rate": 8.13477051463544e-06, + "loss": 0.7535, + "step": 4494 + }, + { + "epoch": 0.31, + "learning_rate": 8.133912036023335e-06, + "loss": 0.9116, + "step": 4495 + }, + { + "epoch": 0.31, + "learning_rate": 8.133053405219457e-06, + "loss": 0.5349, + "step": 4496 + }, + { + "epoch": 0.31, + "learning_rate": 8.132194622265508e-06, + "loss": 0.7063, + "step": 4497 + }, + { + "epoch": 0.31, + "learning_rate": 8.131335687203187e-06, + "loss": 0.8949, + "step": 4498 + }, + { + "epoch": 0.31, + "learning_rate": 8.13047660007421e-06, + "loss": 0.7855, + "step": 4499 + }, + { + "epoch": 0.31, + "learning_rate": 8.129617360920297e-06, + "loss": 0.646, + "step": 4500 + }, + { + "epoch": 0.31, + "learning_rate": 8.128757969783171e-06, + "loss": 0.5085, + "step": 4501 + }, + { + "epoch": 0.31, + "learning_rate": 8.127898426704575e-06, + "loss": 1.0224, + "step": 4502 + }, + { + "epoch": 0.31, + "learning_rate": 8.127038731726241e-06, + "loss": 0.8301, + "step": 4503 + }, + { + "epoch": 0.31, + "learning_rate": 8.126178884889924e-06, + "loss": 0.5165, + "step": 4504 + }, + { + "epoch": 0.31, + "learning_rate": 8.125318886237382e-06, + "loss": 0.7075, + "step": 4505 + }, + { + "epoch": 0.31, + "learning_rate": 8.124458735810372e-06, + "loss": 0.9472, + "step": 4506 + }, + { + "epoch": 0.31, + "learning_rate": 8.123598433650673e-06, + "loss": 1.0073, + "step": 4507 + }, + { + "epoch": 0.31, + "learning_rate": 8.12273797980006e-06, + "loss": 0.9502, + "step": 4508 + }, + { + "epoch": 0.31, + "learning_rate": 8.121877374300318e-06, + "loss": 0.8986, + "step": 4509 + }, + { + "epoch": 0.31, + "learning_rate": 8.121016617193243e-06, + "loss": 0.479, + "step": 4510 + }, + { + "epoch": 0.31, + "learning_rate": 8.120155708520637e-06, + "loss": 0.8908, + "step": 4511 + }, + { + "epoch": 0.31, + "learning_rate": 8.119294648324302e-06, + "loss": 0.8709, + "step": 4512 + }, + { + "epoch": 0.31, + "learning_rate": 8.11843343664606e-06, + "loss": 1.0149, + "step": 4513 + }, + { + "epoch": 0.31, + "learning_rate": 8.117572073527734e-06, + "loss": 0.8594, + "step": 4514 + }, + { + "epoch": 0.31, + "learning_rate": 8.116710559011147e-06, + "loss": 0.652, + "step": 4515 + }, + { + "epoch": 0.31, + "learning_rate": 8.115848893138146e-06, + "loss": 0.7821, + "step": 4516 + }, + { + "epoch": 0.31, + "learning_rate": 8.114987075950568e-06, + "loss": 0.927, + "step": 4517 + }, + { + "epoch": 0.31, + "learning_rate": 8.11412510749027e-06, + "loss": 0.7698, + "step": 4518 + }, + { + "epoch": 0.31, + "learning_rate": 8.113262987799112e-06, + "loss": 0.5531, + "step": 4519 + }, + { + "epoch": 0.31, + "learning_rate": 8.112400716918958e-06, + "loss": 0.8021, + "step": 4520 + }, + { + "epoch": 0.31, + "learning_rate": 8.111538294891684e-06, + "loss": 0.7737, + "step": 4521 + }, + { + "epoch": 0.31, + "learning_rate": 8.110675721759172e-06, + "loss": 0.7037, + "step": 4522 + }, + { + "epoch": 0.31, + "learning_rate": 8.10981299756331e-06, + "loss": 0.6909, + "step": 4523 + }, + { + "epoch": 0.31, + "learning_rate": 8.108950122345996e-06, + "loss": 0.9289, + "step": 4524 + }, + { + "epoch": 0.31, + "learning_rate": 8.108087096149131e-06, + "loss": 0.7792, + "step": 4525 + }, + { + "epoch": 0.31, + "learning_rate": 8.10722391901463e-06, + "loss": 0.8349, + "step": 4526 + }, + { + "epoch": 0.31, + "learning_rate": 8.106360590984406e-06, + "loss": 0.773, + "step": 4527 + }, + { + "epoch": 0.31, + "learning_rate": 8.10549711210039e-06, + "loss": 0.6762, + "step": 4528 + }, + { + "epoch": 0.31, + "learning_rate": 8.10463348240451e-06, + "loss": 0.7701, + "step": 4529 + }, + { + "epoch": 0.31, + "learning_rate": 8.103769701938711e-06, + "loss": 0.7526, + "step": 4530 + }, + { + "epoch": 0.31, + "learning_rate": 8.102905770744937e-06, + "loss": 0.7865, + "step": 4531 + }, + { + "epoch": 0.31, + "learning_rate": 8.102041688865147e-06, + "loss": 0.6583, + "step": 4532 + }, + { + "epoch": 0.31, + "learning_rate": 8.101177456341301e-06, + "loss": 0.8203, + "step": 4533 + }, + { + "epoch": 0.31, + "learning_rate": 8.100313073215368e-06, + "loss": 0.9702, + "step": 4534 + }, + { + "epoch": 0.31, + "learning_rate": 8.099448539529325e-06, + "loss": 0.6759, + "step": 4535 + }, + { + "epoch": 0.31, + "learning_rate": 8.098583855325157e-06, + "loss": 0.7972, + "step": 4536 + }, + { + "epoch": 0.31, + "learning_rate": 8.097719020644855e-06, + "loss": 0.9096, + "step": 4537 + }, + { + "epoch": 0.31, + "learning_rate": 8.09685403553042e-06, + "loss": 0.527, + "step": 4538 + }, + { + "epoch": 0.31, + "learning_rate": 8.095988900023854e-06, + "loss": 0.6614, + "step": 4539 + }, + { + "epoch": 0.31, + "learning_rate": 8.095123614167174e-06, + "loss": 0.64, + "step": 4540 + }, + { + "epoch": 0.31, + "learning_rate": 8.094258178002398e-06, + "loss": 1.047, + "step": 4541 + }, + { + "epoch": 0.31, + "learning_rate": 8.093392591571559e-06, + "loss": 0.5746, + "step": 4542 + }, + { + "epoch": 0.31, + "learning_rate": 8.092526854916686e-06, + "loss": 0.8148, + "step": 4543 + }, + { + "epoch": 0.31, + "learning_rate": 8.091660968079827e-06, + "loss": 0.7213, + "step": 4544 + }, + { + "epoch": 0.31, + "learning_rate": 8.090794931103026e-06, + "loss": 0.6245, + "step": 4545 + }, + { + "epoch": 0.31, + "learning_rate": 8.089928744028349e-06, + "loss": 0.844, + "step": 4546 + }, + { + "epoch": 0.31, + "learning_rate": 8.08906240689785e-06, + "loss": 0.7716, + "step": 4547 + }, + { + "epoch": 0.31, + "learning_rate": 8.08819591975361e-06, + "loss": 0.6033, + "step": 4548 + }, + { + "epoch": 0.31, + "learning_rate": 8.087329282637702e-06, + "loss": 0.978, + "step": 4549 + }, + { + "epoch": 0.31, + "learning_rate": 8.086462495592215e-06, + "loss": 0.7832, + "step": 4550 + }, + { + "epoch": 0.31, + "learning_rate": 8.085595558659244e-06, + "loss": 0.7467, + "step": 4551 + }, + { + "epoch": 0.31, + "learning_rate": 8.084728471880887e-06, + "loss": 0.9281, + "step": 4552 + }, + { + "epoch": 0.31, + "learning_rate": 8.083861235299253e-06, + "loss": 0.8672, + "step": 4553 + }, + { + "epoch": 0.31, + "learning_rate": 8.08299384895646e-06, + "loss": 0.8146, + "step": 4554 + }, + { + "epoch": 0.31, + "learning_rate": 8.082126312894628e-06, + "loss": 0.8425, + "step": 4555 + }, + { + "epoch": 0.31, + "learning_rate": 8.081258627155886e-06, + "loss": 0.9363, + "step": 4556 + }, + { + "epoch": 0.31, + "learning_rate": 8.080390791782375e-06, + "loss": 0.8894, + "step": 4557 + }, + { + "epoch": 0.31, + "learning_rate": 8.079522806816238e-06, + "loss": 0.9794, + "step": 4558 + }, + { + "epoch": 0.31, + "learning_rate": 8.078654672299625e-06, + "loss": 0.6231, + "step": 4559 + }, + { + "epoch": 0.31, + "learning_rate": 8.0777863882747e-06, + "loss": 0.6779, + "step": 4560 + }, + { + "epoch": 0.31, + "learning_rate": 8.076917954783623e-06, + "loss": 0.5692, + "step": 4561 + }, + { + "epoch": 0.31, + "learning_rate": 8.076049371868571e-06, + "loss": 0.9567, + "step": 4562 + }, + { + "epoch": 0.31, + "learning_rate": 8.075180639571726e-06, + "loss": 0.712, + "step": 4563 + }, + { + "epoch": 0.31, + "learning_rate": 8.074311757935274e-06, + "loss": 0.6032, + "step": 4564 + }, + { + "epoch": 0.31, + "learning_rate": 8.07344272700141e-06, + "loss": 0.7621, + "step": 4565 + }, + { + "epoch": 0.31, + "learning_rate": 8.072573546812338e-06, + "loss": 0.9975, + "step": 4566 + }, + { + "epoch": 0.31, + "learning_rate": 8.07170421741027e-06, + "loss": 0.8385, + "step": 4567 + }, + { + "epoch": 0.31, + "learning_rate": 8.07083473883742e-06, + "loss": 0.8463, + "step": 4568 + }, + { + "epoch": 0.31, + "learning_rate": 8.06996511113601e-06, + "loss": 0.726, + "step": 4569 + }, + { + "epoch": 0.31, + "learning_rate": 8.069095334348279e-06, + "loss": 0.8305, + "step": 4570 + }, + { + "epoch": 0.31, + "learning_rate": 8.068225408516459e-06, + "loss": 0.8967, + "step": 4571 + }, + { + "epoch": 0.31, + "learning_rate": 8.067355333682799e-06, + "loss": 0.7949, + "step": 4572 + }, + { + "epoch": 0.31, + "learning_rate": 8.066485109889552e-06, + "loss": 0.9809, + "step": 4573 + }, + { + "epoch": 0.31, + "learning_rate": 8.065614737178979e-06, + "loss": 0.6842, + "step": 4574 + }, + { + "epoch": 0.31, + "learning_rate": 8.064744215593346e-06, + "loss": 0.6129, + "step": 4575 + }, + { + "epoch": 0.31, + "learning_rate": 8.063873545174932e-06, + "loss": 0.6965, + "step": 4576 + }, + { + "epoch": 0.31, + "learning_rate": 8.063002725966014e-06, + "loss": 0.7774, + "step": 4577 + }, + { + "epoch": 0.31, + "learning_rate": 8.062131758008887e-06, + "loss": 0.7882, + "step": 4578 + }, + { + "epoch": 0.31, + "learning_rate": 8.061260641345842e-06, + "loss": 0.7783, + "step": 4579 + }, + { + "epoch": 0.31, + "learning_rate": 8.060389376019189e-06, + "loss": 0.7212, + "step": 4580 + }, + { + "epoch": 0.31, + "learning_rate": 8.059517962071234e-06, + "loss": 0.6084, + "step": 4581 + }, + { + "epoch": 0.31, + "learning_rate": 8.058646399544296e-06, + "loss": 0.7829, + "step": 4582 + }, + { + "epoch": 0.31, + "learning_rate": 8.057774688480704e-06, + "loss": 0.854, + "step": 4583 + }, + { + "epoch": 0.31, + "learning_rate": 8.05690282892279e-06, + "loss": 0.9493, + "step": 4584 + }, + { + "epoch": 0.31, + "learning_rate": 8.05603082091289e-06, + "loss": 0.5558, + "step": 4585 + }, + { + "epoch": 0.31, + "learning_rate": 8.055158664493355e-06, + "loss": 0.8285, + "step": 4586 + }, + { + "epoch": 0.31, + "learning_rate": 8.054286359706538e-06, + "loss": 0.6821, + "step": 4587 + }, + { + "epoch": 0.31, + "learning_rate": 8.0534139065948e-06, + "loss": 0.8981, + "step": 4588 + }, + { + "epoch": 0.31, + "learning_rate": 8.052541305200513e-06, + "loss": 0.5192, + "step": 4589 + }, + { + "epoch": 0.31, + "learning_rate": 8.05166855556605e-06, + "loss": 0.8797, + "step": 4590 + }, + { + "epoch": 0.31, + "learning_rate": 8.050795657733795e-06, + "loss": 0.9478, + "step": 4591 + }, + { + "epoch": 0.31, + "learning_rate": 8.049922611746137e-06, + "loss": 0.6056, + "step": 4592 + }, + { + "epoch": 0.31, + "learning_rate": 8.049049417645478e-06, + "loss": 0.7568, + "step": 4593 + }, + { + "epoch": 0.31, + "learning_rate": 8.048176075474216e-06, + "loss": 0.6316, + "step": 4594 + }, + { + "epoch": 0.31, + "learning_rate": 8.04730258527477e-06, + "loss": 0.8519, + "step": 4595 + }, + { + "epoch": 0.31, + "learning_rate": 8.046428947089556e-06, + "loss": 0.8533, + "step": 4596 + }, + { + "epoch": 0.31, + "learning_rate": 8.045555160961e-06, + "loss": 0.8182, + "step": 4597 + }, + { + "epoch": 0.31, + "learning_rate": 8.044681226931535e-06, + "loss": 0.9016, + "step": 4598 + }, + { + "epoch": 0.31, + "learning_rate": 8.043807145043604e-06, + "loss": 0.7716, + "step": 4599 + }, + { + "epoch": 0.31, + "learning_rate": 8.042932915339654e-06, + "loss": 0.517, + "step": 4600 + }, + { + "epoch": 0.31, + "learning_rate": 8.04205853786214e-06, + "loss": 0.9022, + "step": 4601 + }, + { + "epoch": 0.31, + "learning_rate": 8.041184012653522e-06, + "loss": 1.0466, + "step": 4602 + }, + { + "epoch": 0.31, + "learning_rate": 8.040309339756273e-06, + "loss": 0.7416, + "step": 4603 + }, + { + "epoch": 0.31, + "learning_rate": 8.039434519212868e-06, + "loss": 0.8024, + "step": 4604 + }, + { + "epoch": 0.31, + "learning_rate": 8.038559551065792e-06, + "loss": 0.8502, + "step": 4605 + }, + { + "epoch": 0.31, + "learning_rate": 8.037684435357534e-06, + "loss": 0.8053, + "step": 4606 + }, + { + "epoch": 0.31, + "learning_rate": 8.036809172130592e-06, + "loss": 0.9573, + "step": 4607 + }, + { + "epoch": 0.31, + "learning_rate": 8.035933761427475e-06, + "loss": 0.6289, + "step": 4608 + }, + { + "epoch": 0.31, + "learning_rate": 8.035058203290691e-06, + "loss": 0.7479, + "step": 4609 + }, + { + "epoch": 0.31, + "learning_rate": 8.034182497762761e-06, + "loss": 0.6444, + "step": 4610 + }, + { + "epoch": 0.31, + "learning_rate": 8.033306644886215e-06, + "loss": 0.7813, + "step": 4611 + }, + { + "epoch": 0.31, + "learning_rate": 8.032430644703581e-06, + "loss": 0.794, + "step": 4612 + }, + { + "epoch": 0.31, + "learning_rate": 8.031554497257406e-06, + "loss": 0.846, + "step": 4613 + }, + { + "epoch": 0.31, + "learning_rate": 8.030678202590232e-06, + "loss": 0.8319, + "step": 4614 + }, + { + "epoch": 0.31, + "learning_rate": 8.029801760744622e-06, + "loss": 0.9392, + "step": 4615 + }, + { + "epoch": 0.31, + "learning_rate": 8.02892517176313e-06, + "loss": 0.7147, + "step": 4616 + }, + { + "epoch": 0.31, + "learning_rate": 8.028048435688333e-06, + "loss": 0.842, + "step": 4617 + }, + { + "epoch": 0.31, + "learning_rate": 8.027171552562804e-06, + "loss": 0.616, + "step": 4618 + }, + { + "epoch": 0.31, + "learning_rate": 8.02629452242913e-06, + "loss": 0.8992, + "step": 4619 + }, + { + "epoch": 0.31, + "learning_rate": 8.025417345329897e-06, + "loss": 0.581, + "step": 4620 + }, + { + "epoch": 0.31, + "learning_rate": 8.024540021307709e-06, + "loss": 0.7408, + "step": 4621 + }, + { + "epoch": 0.31, + "learning_rate": 8.023662550405169e-06, + "loss": 0.8014, + "step": 4622 + }, + { + "epoch": 0.31, + "learning_rate": 8.022784932664885e-06, + "loss": 0.6326, + "step": 4623 + }, + { + "epoch": 0.31, + "learning_rate": 8.021907168129483e-06, + "loss": 0.8954, + "step": 4624 + }, + { + "epoch": 0.31, + "learning_rate": 8.021029256841588e-06, + "loss": 0.8171, + "step": 4625 + }, + { + "epoch": 0.31, + "learning_rate": 8.020151198843833e-06, + "loss": 0.7577, + "step": 4626 + }, + { + "epoch": 0.31, + "learning_rate": 8.01927299417886e-06, + "loss": 0.4803, + "step": 4627 + }, + { + "epoch": 0.31, + "learning_rate": 8.018394642889316e-06, + "loss": 0.8101, + "step": 4628 + }, + { + "epoch": 0.31, + "learning_rate": 8.017516145017857e-06, + "loss": 0.7825, + "step": 4629 + }, + { + "epoch": 0.32, + "learning_rate": 8.016637500607144e-06, + "loss": 0.8172, + "step": 4630 + }, + { + "epoch": 0.32, + "learning_rate": 8.01575870969985e-06, + "loss": 0.5396, + "step": 4631 + }, + { + "epoch": 0.32, + "learning_rate": 8.014879772338649e-06, + "loss": 0.7274, + "step": 4632 + }, + { + "epoch": 0.32, + "learning_rate": 8.014000688566224e-06, + "loss": 0.7626, + "step": 4633 + }, + { + "epoch": 0.32, + "learning_rate": 8.013121458425267e-06, + "loss": 0.6125, + "step": 4634 + }, + { + "epoch": 0.32, + "learning_rate": 8.012242081958477e-06, + "loss": 0.6466, + "step": 4635 + }, + { + "epoch": 0.32, + "learning_rate": 8.011362559208557e-06, + "loss": 0.7841, + "step": 4636 + }, + { + "epoch": 0.32, + "learning_rate": 8.010482890218219e-06, + "loss": 0.804, + "step": 4637 + }, + { + "epoch": 0.32, + "learning_rate": 8.009603075030184e-06, + "loss": 0.6086, + "step": 4638 + }, + { + "epoch": 0.32, + "learning_rate": 8.008723113687178e-06, + "loss": 0.8524, + "step": 4639 + }, + { + "epoch": 0.32, + "learning_rate": 8.007843006231934e-06, + "loss": 0.5829, + "step": 4640 + }, + { + "epoch": 0.32, + "learning_rate": 8.006962752707193e-06, + "loss": 0.7285, + "step": 4641 + }, + { + "epoch": 0.32, + "learning_rate": 8.0060823531557e-06, + "loss": 0.599, + "step": 4642 + }, + { + "epoch": 0.32, + "learning_rate": 8.005201807620215e-06, + "loss": 0.8052, + "step": 4643 + }, + { + "epoch": 0.32, + "learning_rate": 8.004321116143496e-06, + "loss": 0.6522, + "step": 4644 + }, + { + "epoch": 0.32, + "learning_rate": 8.00344027876831e-06, + "loss": 0.6148, + "step": 4645 + }, + { + "epoch": 0.32, + "learning_rate": 8.00255929553744e-06, + "loss": 0.8492, + "step": 4646 + }, + { + "epoch": 0.32, + "learning_rate": 8.001678166493663e-06, + "loss": 0.6685, + "step": 4647 + }, + { + "epoch": 0.32, + "learning_rate": 8.000796891679771e-06, + "loss": 0.5767, + "step": 4648 + }, + { + "epoch": 0.32, + "learning_rate": 7.999915471138562e-06, + "loss": 0.7486, + "step": 4649 + }, + { + "epoch": 0.32, + "learning_rate": 7.999033904912837e-06, + "loss": 0.6774, + "step": 4650 + }, + { + "epoch": 0.32, + "learning_rate": 7.998152193045412e-06, + "loss": 0.8223, + "step": 4651 + }, + { + "epoch": 0.32, + "learning_rate": 7.997270335579102e-06, + "loss": 0.8073, + "step": 4652 + }, + { + "epoch": 0.32, + "learning_rate": 7.996388332556735e-06, + "loss": 1.0251, + "step": 4653 + }, + { + "epoch": 0.32, + "learning_rate": 7.995506184021143e-06, + "loss": 0.8343, + "step": 4654 + }, + { + "epoch": 0.32, + "learning_rate": 7.994623890015164e-06, + "loss": 0.733, + "step": 4655 + }, + { + "epoch": 0.32, + "learning_rate": 7.993741450581646e-06, + "loss": 0.7104, + "step": 4656 + }, + { + "epoch": 0.32, + "learning_rate": 7.992858865763444e-06, + "loss": 0.7541, + "step": 4657 + }, + { + "epoch": 0.32, + "learning_rate": 7.991976135603417e-06, + "loss": 0.8873, + "step": 4658 + }, + { + "epoch": 0.32, + "learning_rate": 7.991093260144431e-06, + "loss": 0.8111, + "step": 4659 + }, + { + "epoch": 0.32, + "learning_rate": 7.990210239429366e-06, + "loss": 0.7696, + "step": 4660 + }, + { + "epoch": 0.32, + "learning_rate": 7.989327073501101e-06, + "loss": 0.6559, + "step": 4661 + }, + { + "epoch": 0.32, + "learning_rate": 7.988443762402525e-06, + "loss": 0.794, + "step": 4662 + }, + { + "epoch": 0.32, + "learning_rate": 7.987560306176535e-06, + "loss": 0.6523, + "step": 4663 + }, + { + "epoch": 0.32, + "learning_rate": 7.986676704866035e-06, + "loss": 0.6438, + "step": 4664 + }, + { + "epoch": 0.32, + "learning_rate": 7.985792958513932e-06, + "loss": 0.4297, + "step": 4665 + }, + { + "epoch": 0.32, + "learning_rate": 7.984909067163147e-06, + "loss": 0.6192, + "step": 4666 + }, + { + "epoch": 0.32, + "learning_rate": 7.9840250308566e-06, + "loss": 0.8606, + "step": 4667 + }, + { + "epoch": 0.32, + "learning_rate": 7.983140849637227e-06, + "loss": 0.7823, + "step": 4668 + }, + { + "epoch": 0.32, + "learning_rate": 7.982256523547964e-06, + "loss": 0.7453, + "step": 4669 + }, + { + "epoch": 0.32, + "learning_rate": 7.981372052631757e-06, + "loss": 0.819, + "step": 4670 + }, + { + "epoch": 0.32, + "learning_rate": 7.980487436931558e-06, + "loss": 0.8538, + "step": 4671 + }, + { + "epoch": 0.32, + "learning_rate": 7.979602676490325e-06, + "loss": 0.5461, + "step": 4672 + }, + { + "epoch": 0.32, + "learning_rate": 7.97871777135103e-06, + "loss": 0.7818, + "step": 4673 + }, + { + "epoch": 0.32, + "learning_rate": 7.97783272155664e-06, + "loss": 0.9359, + "step": 4674 + }, + { + "epoch": 0.32, + "learning_rate": 7.976947527150137e-06, + "loss": 0.9971, + "step": 4675 + }, + { + "epoch": 0.32, + "learning_rate": 7.976062188174513e-06, + "loss": 0.6862, + "step": 4676 + }, + { + "epoch": 0.32, + "learning_rate": 7.975176704672757e-06, + "loss": 0.7988, + "step": 4677 + }, + { + "epoch": 0.32, + "learning_rate": 7.974291076687874e-06, + "loss": 0.4702, + "step": 4678 + }, + { + "epoch": 0.32, + "learning_rate": 7.973405304262874e-06, + "loss": 0.7863, + "step": 4679 + }, + { + "epoch": 0.32, + "learning_rate": 7.972519387440767e-06, + "loss": 0.6236, + "step": 4680 + }, + { + "epoch": 0.32, + "learning_rate": 7.971633326264581e-06, + "loss": 0.8801, + "step": 4681 + }, + { + "epoch": 0.32, + "learning_rate": 7.970747120777342e-06, + "loss": 0.8759, + "step": 4682 + }, + { + "epoch": 0.32, + "learning_rate": 7.96986077102209e-06, + "loss": 0.621, + "step": 4683 + }, + { + "epoch": 0.32, + "learning_rate": 7.968974277041865e-06, + "loss": 0.8613, + "step": 4684 + }, + { + "epoch": 0.32, + "learning_rate": 7.968087638879722e-06, + "loss": 0.6746, + "step": 4685 + }, + { + "epoch": 0.32, + "learning_rate": 7.967200856578714e-06, + "loss": 0.8906, + "step": 4686 + }, + { + "epoch": 0.32, + "learning_rate": 7.966313930181912e-06, + "loss": 0.8808, + "step": 4687 + }, + { + "epoch": 0.32, + "learning_rate": 7.965426859732381e-06, + "loss": 0.5983, + "step": 4688 + }, + { + "epoch": 0.32, + "learning_rate": 7.964539645273204e-06, + "loss": 0.8553, + "step": 4689 + }, + { + "epoch": 0.32, + "learning_rate": 7.963652286847464e-06, + "loss": 0.7682, + "step": 4690 + }, + { + "epoch": 0.32, + "learning_rate": 7.962764784498254e-06, + "loss": 0.649, + "step": 4691 + }, + { + "epoch": 0.32, + "learning_rate": 7.961877138268677e-06, + "loss": 0.7983, + "step": 4692 + }, + { + "epoch": 0.32, + "learning_rate": 7.960989348201837e-06, + "loss": 0.7002, + "step": 4693 + }, + { + "epoch": 0.32, + "learning_rate": 7.960101414340847e-06, + "loss": 0.7793, + "step": 4694 + }, + { + "epoch": 0.32, + "learning_rate": 7.959213336728828e-06, + "loss": 0.658, + "step": 4695 + }, + { + "epoch": 0.32, + "learning_rate": 7.95832511540891e-06, + "loss": 1.0912, + "step": 4696 + }, + { + "epoch": 0.32, + "learning_rate": 7.957436750424223e-06, + "loss": 0.6396, + "step": 4697 + }, + { + "epoch": 0.32, + "learning_rate": 7.956548241817914e-06, + "loss": 0.9055, + "step": 4698 + }, + { + "epoch": 0.32, + "learning_rate": 7.955659589633126e-06, + "loss": 0.7494, + "step": 4699 + }, + { + "epoch": 0.32, + "learning_rate": 7.954770793913018e-06, + "loss": 0.7089, + "step": 4700 + }, + { + "epoch": 0.32, + "learning_rate": 7.953881854700754e-06, + "loss": 0.5153, + "step": 4701 + }, + { + "epoch": 0.32, + "learning_rate": 7.9529927720395e-06, + "loss": 0.98, + "step": 4702 + }, + { + "epoch": 0.32, + "learning_rate": 7.952103545972431e-06, + "loss": 0.6709, + "step": 4703 + }, + { + "epoch": 0.32, + "learning_rate": 7.951214176542735e-06, + "loss": 0.5946, + "step": 4704 + }, + { + "epoch": 0.32, + "learning_rate": 7.9503246637936e-06, + "loss": 0.8149, + "step": 4705 + }, + { + "epoch": 0.32, + "learning_rate": 7.949435007768225e-06, + "loss": 0.8313, + "step": 4706 + }, + { + "epoch": 0.32, + "learning_rate": 7.948545208509811e-06, + "loss": 0.6847, + "step": 4707 + }, + { + "epoch": 0.32, + "learning_rate": 7.947655266061572e-06, + "loss": 0.8669, + "step": 4708 + }, + { + "epoch": 0.32, + "learning_rate": 7.946765180466725e-06, + "loss": 0.5057, + "step": 4709 + }, + { + "epoch": 0.32, + "learning_rate": 7.945874951768495e-06, + "loss": 0.9442, + "step": 4710 + }, + { + "epoch": 0.32, + "learning_rate": 7.944984580010116e-06, + "loss": 1.0194, + "step": 4711 + }, + { + "epoch": 0.32, + "learning_rate": 7.944094065234823e-06, + "loss": 0.7048, + "step": 4712 + }, + { + "epoch": 0.32, + "learning_rate": 7.943203407485864e-06, + "loss": 0.6619, + "step": 4713 + }, + { + "epoch": 0.32, + "learning_rate": 7.942312606806495e-06, + "loss": 0.9722, + "step": 4714 + }, + { + "epoch": 0.32, + "learning_rate": 7.941421663239971e-06, + "loss": 0.613, + "step": 4715 + }, + { + "epoch": 0.32, + "learning_rate": 7.940530576829562e-06, + "loss": 0.7098, + "step": 4716 + }, + { + "epoch": 0.32, + "learning_rate": 7.939639347618541e-06, + "loss": 0.8921, + "step": 4717 + }, + { + "epoch": 0.32, + "learning_rate": 7.938747975650187e-06, + "loss": 0.794, + "step": 4718 + }, + { + "epoch": 0.32, + "learning_rate": 7.93785646096779e-06, + "loss": 0.8209, + "step": 4719 + }, + { + "epoch": 0.32, + "learning_rate": 7.936964803614642e-06, + "loss": 0.9501, + "step": 4720 + }, + { + "epoch": 0.32, + "learning_rate": 7.936073003634045e-06, + "loss": 0.756, + "step": 4721 + }, + { + "epoch": 0.32, + "learning_rate": 7.93518106106931e-06, + "loss": 0.7392, + "step": 4722 + }, + { + "epoch": 0.32, + "learning_rate": 7.93428897596375e-06, + "loss": 0.8633, + "step": 4723 + }, + { + "epoch": 0.32, + "learning_rate": 7.933396748360688e-06, + "loss": 1.0391, + "step": 4724 + }, + { + "epoch": 0.32, + "learning_rate": 7.932504378303452e-06, + "loss": 0.7234, + "step": 4725 + }, + { + "epoch": 0.32, + "learning_rate": 7.931611865835378e-06, + "loss": 0.9716, + "step": 4726 + }, + { + "epoch": 0.32, + "learning_rate": 7.930719210999812e-06, + "loss": 0.7621, + "step": 4727 + }, + { + "epoch": 0.32, + "learning_rate": 7.9298264138401e-06, + "loss": 0.5718, + "step": 4728 + }, + { + "epoch": 0.32, + "learning_rate": 7.928933474399601e-06, + "loss": 0.7036, + "step": 4729 + }, + { + "epoch": 0.32, + "learning_rate": 7.928040392721678e-06, + "loss": 0.8063, + "step": 4730 + }, + { + "epoch": 0.32, + "learning_rate": 7.927147168849704e-06, + "loss": 0.7748, + "step": 4731 + }, + { + "epoch": 0.32, + "learning_rate": 7.92625380282705e-06, + "loss": 0.7359, + "step": 4732 + }, + { + "epoch": 0.32, + "learning_rate": 7.925360294697109e-06, + "loss": 0.7551, + "step": 4733 + }, + { + "epoch": 0.32, + "learning_rate": 7.924466644503265e-06, + "loss": 0.8221, + "step": 4734 + }, + { + "epoch": 0.32, + "learning_rate": 7.923572852288922e-06, + "loss": 0.6152, + "step": 4735 + }, + { + "epoch": 0.32, + "learning_rate": 7.922678918097481e-06, + "loss": 0.605, + "step": 4736 + }, + { + "epoch": 0.32, + "learning_rate": 7.921784841972355e-06, + "loss": 0.8242, + "step": 4737 + }, + { + "epoch": 0.32, + "learning_rate": 7.920890623956965e-06, + "loss": 0.7387, + "step": 4738 + }, + { + "epoch": 0.32, + "learning_rate": 7.919996264094732e-06, + "loss": 1.0117, + "step": 4739 + }, + { + "epoch": 0.32, + "learning_rate": 7.919101762429094e-06, + "loss": 0.9477, + "step": 4740 + }, + { + "epoch": 0.32, + "learning_rate": 7.918207119003488e-06, + "loss": 0.6861, + "step": 4741 + }, + { + "epoch": 0.32, + "learning_rate": 7.91731233386136e-06, + "loss": 0.9652, + "step": 4742 + }, + { + "epoch": 0.32, + "learning_rate": 7.916417407046166e-06, + "loss": 0.9129, + "step": 4743 + }, + { + "epoch": 0.32, + "learning_rate": 7.915522338601362e-06, + "loss": 0.722, + "step": 4744 + }, + { + "epoch": 0.32, + "learning_rate": 7.91462712857042e-06, + "loss": 0.7483, + "step": 4745 + }, + { + "epoch": 0.32, + "learning_rate": 7.91373177699681e-06, + "loss": 0.7157, + "step": 4746 + }, + { + "epoch": 0.32, + "learning_rate": 7.912836283924014e-06, + "loss": 0.5705, + "step": 4747 + }, + { + "epoch": 0.32, + "learning_rate": 7.911940649395521e-06, + "loss": 0.7863, + "step": 4748 + }, + { + "epoch": 0.32, + "learning_rate": 7.911044873454823e-06, + "loss": 1.1284, + "step": 4749 + }, + { + "epoch": 0.32, + "learning_rate": 7.910148956145425e-06, + "loss": 0.9308, + "step": 4750 + }, + { + "epoch": 0.32, + "learning_rate": 7.909252897510833e-06, + "loss": 0.778, + "step": 4751 + }, + { + "epoch": 0.32, + "learning_rate": 7.908356697594562e-06, + "loss": 0.6201, + "step": 4752 + }, + { + "epoch": 0.32, + "learning_rate": 7.907460356440133e-06, + "loss": 1.056, + "step": 4753 + }, + { + "epoch": 0.32, + "learning_rate": 7.90656387409108e-06, + "loss": 0.6248, + "step": 4754 + }, + { + "epoch": 0.32, + "learning_rate": 7.905667250590932e-06, + "loss": 0.5503, + "step": 4755 + }, + { + "epoch": 0.32, + "learning_rate": 7.904770485983236e-06, + "loss": 0.869, + "step": 4756 + }, + { + "epoch": 0.32, + "learning_rate": 7.90387358031154e-06, + "loss": 0.9011, + "step": 4757 + }, + { + "epoch": 0.32, + "learning_rate": 7.902976533619401e-06, + "loss": 0.8277, + "step": 4758 + }, + { + "epoch": 0.32, + "learning_rate": 7.902079345950385e-06, + "loss": 0.6372, + "step": 4759 + }, + { + "epoch": 0.32, + "learning_rate": 7.901182017348055e-06, + "loss": 0.67, + "step": 4760 + }, + { + "epoch": 0.32, + "learning_rate": 7.900284547855992e-06, + "loss": 0.9573, + "step": 4761 + }, + { + "epoch": 0.32, + "learning_rate": 7.899386937517778e-06, + "loss": 0.6887, + "step": 4762 + }, + { + "epoch": 0.32, + "learning_rate": 7.898489186377009e-06, + "loss": 0.8135, + "step": 4763 + }, + { + "epoch": 0.32, + "learning_rate": 7.897591294477276e-06, + "loss": 0.7636, + "step": 4764 + }, + { + "epoch": 0.32, + "learning_rate": 7.896693261862185e-06, + "loss": 0.6934, + "step": 4765 + }, + { + "epoch": 0.32, + "learning_rate": 7.895795088575348e-06, + "loss": 0.8921, + "step": 4766 + }, + { + "epoch": 0.32, + "learning_rate": 7.894896774660382e-06, + "loss": 0.9207, + "step": 4767 + }, + { + "epoch": 0.32, + "learning_rate": 7.893998320160913e-06, + "loss": 0.7232, + "step": 4768 + }, + { + "epoch": 0.32, + "learning_rate": 7.89309972512057e-06, + "loss": 0.908, + "step": 4769 + }, + { + "epoch": 0.32, + "learning_rate": 7.892200989582994e-06, + "loss": 0.9619, + "step": 4770 + }, + { + "epoch": 0.32, + "learning_rate": 7.89130211359183e-06, + "loss": 0.987, + "step": 4771 + }, + { + "epoch": 0.32, + "learning_rate": 7.890403097190729e-06, + "loss": 0.8549, + "step": 4772 + }, + { + "epoch": 0.32, + "learning_rate": 7.88950394042335e-06, + "loss": 0.5622, + "step": 4773 + }, + { + "epoch": 0.32, + "learning_rate": 7.888604643333357e-06, + "loss": 0.7658, + "step": 4774 + }, + { + "epoch": 0.32, + "learning_rate": 7.887705205964426e-06, + "loss": 0.6614, + "step": 4775 + }, + { + "epoch": 0.32, + "learning_rate": 7.886805628360234e-06, + "loss": 0.6811, + "step": 4776 + }, + { + "epoch": 0.33, + "learning_rate": 7.885905910564466e-06, + "loss": 0.9146, + "step": 4777 + }, + { + "epoch": 0.33, + "learning_rate": 7.885006052620819e-06, + "loss": 0.7805, + "step": 4778 + }, + { + "epoch": 0.33, + "learning_rate": 7.884106054572987e-06, + "loss": 0.8623, + "step": 4779 + }, + { + "epoch": 0.33, + "learning_rate": 7.88320591646468e-06, + "loss": 0.6467, + "step": 4780 + }, + { + "epoch": 0.33, + "learning_rate": 7.882305638339612e-06, + "loss": 0.9547, + "step": 4781 + }, + { + "epoch": 0.33, + "learning_rate": 7.881405220241503e-06, + "loss": 0.7337, + "step": 4782 + }, + { + "epoch": 0.33, + "learning_rate": 7.880504662214076e-06, + "loss": 0.5726, + "step": 4783 + }, + { + "epoch": 0.33, + "learning_rate": 7.879603964301069e-06, + "loss": 0.658, + "step": 4784 + }, + { + "epoch": 0.33, + "learning_rate": 7.87870312654622e-06, + "loss": 0.7879, + "step": 4785 + }, + { + "epoch": 0.33, + "learning_rate": 7.877802148993278e-06, + "loss": 0.7547, + "step": 4786 + }, + { + "epoch": 0.33, + "learning_rate": 7.876901031685997e-06, + "loss": 0.4742, + "step": 4787 + }, + { + "epoch": 0.33, + "learning_rate": 7.875999774668135e-06, + "loss": 0.5972, + "step": 4788 + }, + { + "epoch": 0.33, + "learning_rate": 7.875098377983462e-06, + "loss": 0.6628, + "step": 4789 + }, + { + "epoch": 0.33, + "learning_rate": 7.874196841675754e-06, + "loss": 0.849, + "step": 4790 + }, + { + "epoch": 0.33, + "learning_rate": 7.873295165788787e-06, + "loss": 0.6663, + "step": 4791 + }, + { + "epoch": 0.33, + "learning_rate": 7.872393350366356e-06, + "loss": 0.7266, + "step": 4792 + }, + { + "epoch": 0.33, + "learning_rate": 7.87149139545225e-06, + "loss": 0.5769, + "step": 4793 + }, + { + "epoch": 0.33, + "learning_rate": 7.870589301090274e-06, + "loss": 0.5474, + "step": 4794 + }, + { + "epoch": 0.33, + "learning_rate": 7.869687067324235e-06, + "loss": 0.9086, + "step": 4795 + }, + { + "epoch": 0.33, + "learning_rate": 7.868784694197947e-06, + "loss": 0.6839, + "step": 4796 + }, + { + "epoch": 0.33, + "learning_rate": 7.86788218175523e-06, + "loss": 0.8597, + "step": 4797 + }, + { + "epoch": 0.33, + "learning_rate": 7.86697953003992e-06, + "loss": 0.6906, + "step": 4798 + }, + { + "epoch": 0.33, + "learning_rate": 7.866076739095846e-06, + "loss": 0.716, + "step": 4799 + }, + { + "epoch": 0.33, + "learning_rate": 7.865173808966851e-06, + "loss": 0.5714, + "step": 4800 + }, + { + "epoch": 0.33, + "learning_rate": 7.864270739696785e-06, + "loss": 0.6855, + "step": 4801 + }, + { + "epoch": 0.33, + "learning_rate": 7.863367531329503e-06, + "loss": 0.639, + "step": 4802 + }, + { + "epoch": 0.33, + "learning_rate": 7.862464183908869e-06, + "loss": 0.7052, + "step": 4803 + }, + { + "epoch": 0.33, + "learning_rate": 7.86156069747875e-06, + "loss": 1.1251, + "step": 4804 + }, + { + "epoch": 0.33, + "learning_rate": 7.860657072083022e-06, + "loss": 0.8605, + "step": 4805 + }, + { + "epoch": 0.33, + "learning_rate": 7.859753307765571e-06, + "loss": 0.6675, + "step": 4806 + }, + { + "epoch": 0.33, + "learning_rate": 7.858849404570282e-06, + "loss": 0.6228, + "step": 4807 + }, + { + "epoch": 0.33, + "learning_rate": 7.857945362541053e-06, + "loss": 0.795, + "step": 4808 + }, + { + "epoch": 0.33, + "learning_rate": 7.857041181721788e-06, + "loss": 0.6974, + "step": 4809 + }, + { + "epoch": 0.33, + "learning_rate": 7.856136862156395e-06, + "loss": 0.6744, + "step": 4810 + }, + { + "epoch": 0.33, + "learning_rate": 7.855232403888789e-06, + "loss": 0.9701, + "step": 4811 + }, + { + "epoch": 0.33, + "learning_rate": 7.854327806962896e-06, + "loss": 0.6719, + "step": 4812 + }, + { + "epoch": 0.33, + "learning_rate": 7.853423071422644e-06, + "loss": 1.0354, + "step": 4813 + }, + { + "epoch": 0.33, + "learning_rate": 7.852518197311972e-06, + "loss": 0.7331, + "step": 4814 + }, + { + "epoch": 0.33, + "learning_rate": 7.851613184674821e-06, + "loss": 0.6916, + "step": 4815 + }, + { + "epoch": 0.33, + "learning_rate": 7.850708033555142e-06, + "loss": 0.8126, + "step": 4816 + }, + { + "epoch": 0.33, + "learning_rate": 7.849802743996891e-06, + "loss": 0.7149, + "step": 4817 + }, + { + "epoch": 0.33, + "learning_rate": 7.84889731604403e-06, + "loss": 0.9407, + "step": 4818 + }, + { + "epoch": 0.33, + "learning_rate": 7.847991749740533e-06, + "loss": 0.6051, + "step": 4819 + }, + { + "epoch": 0.33, + "learning_rate": 7.847086045130374e-06, + "loss": 0.8816, + "step": 4820 + }, + { + "epoch": 0.33, + "learning_rate": 7.846180202257539e-06, + "loss": 0.7812, + "step": 4821 + }, + { + "epoch": 0.33, + "learning_rate": 7.845274221166015e-06, + "loss": 1.0128, + "step": 4822 + }, + { + "epoch": 0.33, + "learning_rate": 7.844368101899801e-06, + "loss": 0.7738, + "step": 4823 + }, + { + "epoch": 0.33, + "learning_rate": 7.843461844502903e-06, + "loss": 0.9808, + "step": 4824 + }, + { + "epoch": 0.33, + "learning_rate": 7.842555449019326e-06, + "loss": 0.8205, + "step": 4825 + }, + { + "epoch": 0.33, + "learning_rate": 7.841648915493092e-06, + "loss": 0.6107, + "step": 4826 + }, + { + "epoch": 0.33, + "learning_rate": 7.840742243968222e-06, + "loss": 0.6255, + "step": 4827 + }, + { + "epoch": 0.33, + "learning_rate": 7.839835434488748e-06, + "loss": 0.8649, + "step": 4828 + }, + { + "epoch": 0.33, + "learning_rate": 7.838928487098707e-06, + "loss": 0.8069, + "step": 4829 + }, + { + "epoch": 0.33, + "learning_rate": 7.838021401842145e-06, + "loss": 0.6563, + "step": 4830 + }, + { + "epoch": 0.33, + "learning_rate": 7.837114178763108e-06, + "loss": 0.8003, + "step": 4831 + }, + { + "epoch": 0.33, + "learning_rate": 7.836206817905655e-06, + "loss": 1.0281, + "step": 4832 + }, + { + "epoch": 0.33, + "learning_rate": 7.835299319313854e-06, + "loss": 0.8938, + "step": 4833 + }, + { + "epoch": 0.33, + "learning_rate": 7.834391683031773e-06, + "loss": 0.8298, + "step": 4834 + }, + { + "epoch": 0.33, + "learning_rate": 7.833483909103487e-06, + "loss": 0.9072, + "step": 4835 + }, + { + "epoch": 0.33, + "learning_rate": 7.832575997573082e-06, + "loss": 0.7033, + "step": 4836 + }, + { + "epoch": 0.33, + "learning_rate": 7.831667948484651e-06, + "loss": 0.8779, + "step": 4837 + }, + { + "epoch": 0.33, + "learning_rate": 7.83075976188229e-06, + "loss": 0.7842, + "step": 4838 + }, + { + "epoch": 0.33, + "learning_rate": 7.829851437810099e-06, + "loss": 0.9074, + "step": 4839 + }, + { + "epoch": 0.33, + "learning_rate": 7.828942976312197e-06, + "loss": 0.7292, + "step": 4840 + }, + { + "epoch": 0.33, + "learning_rate": 7.828034377432694e-06, + "loss": 0.6061, + "step": 4841 + }, + { + "epoch": 0.33, + "learning_rate": 7.827125641215718e-06, + "loss": 0.7248, + "step": 4842 + }, + { + "epoch": 0.33, + "learning_rate": 7.8262167677054e-06, + "loss": 0.9962, + "step": 4843 + }, + { + "epoch": 0.33, + "learning_rate": 7.825307756945874e-06, + "loss": 0.6861, + "step": 4844 + }, + { + "epoch": 0.33, + "learning_rate": 7.82439860898129e-06, + "loss": 0.8565, + "step": 4845 + }, + { + "epoch": 0.33, + "learning_rate": 7.823489323855794e-06, + "loss": 0.8335, + "step": 4846 + }, + { + "epoch": 0.33, + "learning_rate": 7.822579901613546e-06, + "loss": 0.8066, + "step": 4847 + }, + { + "epoch": 0.33, + "learning_rate": 7.821670342298706e-06, + "loss": 0.718, + "step": 4848 + }, + { + "epoch": 0.33, + "learning_rate": 7.820760645955452e-06, + "loss": 0.9073, + "step": 4849 + }, + { + "epoch": 0.33, + "learning_rate": 7.819850812627956e-06, + "loss": 0.8344, + "step": 4850 + }, + { + "epoch": 0.33, + "learning_rate": 7.818940842360404e-06, + "loss": 0.5193, + "step": 4851 + }, + { + "epoch": 0.33, + "learning_rate": 7.818030735196984e-06, + "loss": 0.8215, + "step": 4852 + }, + { + "epoch": 0.33, + "learning_rate": 7.817120491181897e-06, + "loss": 0.7198, + "step": 4853 + }, + { + "epoch": 0.33, + "learning_rate": 7.816210110359347e-06, + "loss": 0.7484, + "step": 4854 + }, + { + "epoch": 0.33, + "learning_rate": 7.815299592773545e-06, + "loss": 0.9153, + "step": 4855 + }, + { + "epoch": 0.33, + "learning_rate": 7.814388938468704e-06, + "loss": 0.8063, + "step": 4856 + }, + { + "epoch": 0.33, + "learning_rate": 7.813478147489052e-06, + "loss": 0.6581, + "step": 4857 + }, + { + "epoch": 0.33, + "learning_rate": 7.812567219878818e-06, + "loss": 0.7423, + "step": 4858 + }, + { + "epoch": 0.33, + "learning_rate": 7.811656155682241e-06, + "loss": 0.8281, + "step": 4859 + }, + { + "epoch": 0.33, + "learning_rate": 7.810744954943564e-06, + "loss": 0.9144, + "step": 4860 + }, + { + "epoch": 0.33, + "learning_rate": 7.809833617707035e-06, + "loss": 1.023, + "step": 4861 + }, + { + "epoch": 0.33, + "learning_rate": 7.808922144016915e-06, + "loss": 0.9133, + "step": 4862 + }, + { + "epoch": 0.33, + "learning_rate": 7.808010533917465e-06, + "loss": 0.8181, + "step": 4863 + }, + { + "epoch": 0.33, + "learning_rate": 7.807098787452958e-06, + "loss": 0.7671, + "step": 4864 + }, + { + "epoch": 0.33, + "learning_rate": 7.80618690466767e-06, + "loss": 0.7099, + "step": 4865 + }, + { + "epoch": 0.33, + "learning_rate": 7.805274885605883e-06, + "loss": 1.0023, + "step": 4866 + }, + { + "epoch": 0.33, + "learning_rate": 7.804362730311887e-06, + "loss": 0.6587, + "step": 4867 + }, + { + "epoch": 0.33, + "learning_rate": 7.803450438829983e-06, + "loss": 0.7427, + "step": 4868 + }, + { + "epoch": 0.33, + "learning_rate": 7.80253801120447e-06, + "loss": 0.9583, + "step": 4869 + }, + { + "epoch": 0.33, + "learning_rate": 7.801625447479661e-06, + "loss": 0.8312, + "step": 4870 + }, + { + "epoch": 0.33, + "learning_rate": 7.800712747699873e-06, + "loss": 0.8117, + "step": 4871 + }, + { + "epoch": 0.33, + "learning_rate": 7.799799911909427e-06, + "loss": 0.5947, + "step": 4872 + }, + { + "epoch": 0.33, + "learning_rate": 7.798886940152654e-06, + "loss": 0.8052, + "step": 4873 + }, + { + "epoch": 0.33, + "learning_rate": 7.79797383247389e-06, + "loss": 0.5967, + "step": 4874 + }, + { + "epoch": 0.33, + "learning_rate": 7.797060588917477e-06, + "loss": 0.8533, + "step": 4875 + }, + { + "epoch": 0.33, + "learning_rate": 7.796147209527769e-06, + "loss": 0.8985, + "step": 4876 + }, + { + "epoch": 0.33, + "learning_rate": 7.795233694349119e-06, + "loss": 0.8198, + "step": 4877 + }, + { + "epoch": 0.33, + "learning_rate": 7.79432004342589e-06, + "loss": 0.7529, + "step": 4878 + }, + { + "epoch": 0.33, + "learning_rate": 7.793406256802453e-06, + "loss": 0.6908, + "step": 4879 + }, + { + "epoch": 0.33, + "learning_rate": 7.792492334523182e-06, + "loss": 0.6187, + "step": 4880 + }, + { + "epoch": 0.33, + "learning_rate": 7.791578276632461e-06, + "loss": 0.8785, + "step": 4881 + }, + { + "epoch": 0.33, + "learning_rate": 7.790664083174681e-06, + "loss": 0.6323, + "step": 4882 + }, + { + "epoch": 0.33, + "learning_rate": 7.789749754194237e-06, + "loss": 0.6631, + "step": 4883 + }, + { + "epoch": 0.33, + "learning_rate": 7.788835289735527e-06, + "loss": 0.9992, + "step": 4884 + }, + { + "epoch": 0.33, + "learning_rate": 7.787920689842965e-06, + "loss": 0.6973, + "step": 4885 + }, + { + "epoch": 0.33, + "learning_rate": 7.787005954560965e-06, + "loss": 0.9274, + "step": 4886 + }, + { + "epoch": 0.33, + "learning_rate": 7.78609108393395e-06, + "loss": 0.8245, + "step": 4887 + }, + { + "epoch": 0.33, + "learning_rate": 7.785176078006346e-06, + "loss": 0.6166, + "step": 4888 + }, + { + "epoch": 0.33, + "learning_rate": 7.784260936822592e-06, + "loss": 0.9866, + "step": 4889 + }, + { + "epoch": 0.33, + "learning_rate": 7.783345660427129e-06, + "loss": 0.614, + "step": 4890 + }, + { + "epoch": 0.33, + "learning_rate": 7.782430248864403e-06, + "loss": 0.7093, + "step": 4891 + }, + { + "epoch": 0.33, + "learning_rate": 7.781514702178871e-06, + "loss": 0.7558, + "step": 4892 + }, + { + "epoch": 0.33, + "learning_rate": 7.780599020414997e-06, + "loss": 0.7576, + "step": 4893 + }, + { + "epoch": 0.33, + "learning_rate": 7.779683203617242e-06, + "loss": 0.8672, + "step": 4894 + }, + { + "epoch": 0.33, + "learning_rate": 7.778767251830089e-06, + "loss": 0.9933, + "step": 4895 + }, + { + "epoch": 0.33, + "learning_rate": 7.777851165098012e-06, + "loss": 0.6333, + "step": 4896 + }, + { + "epoch": 0.33, + "learning_rate": 7.776934943465503e-06, + "loss": 0.6421, + "step": 4897 + }, + { + "epoch": 0.33, + "learning_rate": 7.776018586977057e-06, + "loss": 0.6856, + "step": 4898 + }, + { + "epoch": 0.33, + "learning_rate": 7.775102095677172e-06, + "loss": 0.8554, + "step": 4899 + }, + { + "epoch": 0.33, + "learning_rate": 7.774185469610358e-06, + "loss": 0.6908, + "step": 4900 + }, + { + "epoch": 0.33, + "learning_rate": 7.773268708821127e-06, + "loss": 0.6401, + "step": 4901 + }, + { + "epoch": 0.33, + "learning_rate": 7.772351813354e-06, + "loss": 0.7679, + "step": 4902 + }, + { + "epoch": 0.33, + "learning_rate": 7.771434783253507e-06, + "loss": 0.6294, + "step": 4903 + }, + { + "epoch": 0.33, + "learning_rate": 7.770517618564176e-06, + "loss": 0.5455, + "step": 4904 + }, + { + "epoch": 0.33, + "learning_rate": 7.769600319330553e-06, + "loss": 0.7645, + "step": 4905 + }, + { + "epoch": 0.33, + "learning_rate": 7.76868288559718e-06, + "loss": 0.6235, + "step": 4906 + }, + { + "epoch": 0.33, + "learning_rate": 7.767765317408614e-06, + "loss": 0.9007, + "step": 4907 + }, + { + "epoch": 0.33, + "learning_rate": 7.76684761480941e-06, + "loss": 0.8461, + "step": 4908 + }, + { + "epoch": 0.33, + "learning_rate": 7.765929777844139e-06, + "loss": 0.4142, + "step": 4909 + }, + { + "epoch": 0.33, + "learning_rate": 7.765011806557372e-06, + "loss": 0.564, + "step": 4910 + }, + { + "epoch": 0.33, + "learning_rate": 7.764093700993688e-06, + "loss": 0.5961, + "step": 4911 + }, + { + "epoch": 0.33, + "learning_rate": 7.763175461197673e-06, + "loss": 0.7222, + "step": 4912 + }, + { + "epoch": 0.33, + "learning_rate": 7.76225708721392e-06, + "loss": 0.5112, + "step": 4913 + }, + { + "epoch": 0.33, + "learning_rate": 7.761338579087026e-06, + "loss": 0.8123, + "step": 4914 + }, + { + "epoch": 0.33, + "learning_rate": 7.760419936861599e-06, + "loss": 0.8014, + "step": 4915 + }, + { + "epoch": 0.33, + "learning_rate": 7.75950116058225e-06, + "loss": 0.697, + "step": 4916 + }, + { + "epoch": 0.33, + "learning_rate": 7.758582250293596e-06, + "loss": 0.8262, + "step": 4917 + }, + { + "epoch": 0.33, + "learning_rate": 7.757663206040264e-06, + "loss": 0.7416, + "step": 4918 + }, + { + "epoch": 0.33, + "learning_rate": 7.756744027866884e-06, + "loss": 0.952, + "step": 4919 + }, + { + "epoch": 0.33, + "learning_rate": 7.755824715818094e-06, + "loss": 0.8875, + "step": 4920 + }, + { + "epoch": 0.33, + "learning_rate": 7.75490526993854e-06, + "loss": 0.5228, + "step": 4921 + }, + { + "epoch": 0.33, + "learning_rate": 7.753985690272871e-06, + "loss": 0.6284, + "step": 4922 + }, + { + "epoch": 0.33, + "learning_rate": 7.753065976865745e-06, + "loss": 0.3453, + "step": 4923 + }, + { + "epoch": 0.34, + "learning_rate": 7.752146129761826e-06, + "loss": 0.7935, + "step": 4924 + }, + { + "epoch": 0.34, + "learning_rate": 7.751226149005785e-06, + "loss": 0.7827, + "step": 4925 + }, + { + "epoch": 0.34, + "learning_rate": 7.750306034642298e-06, + "loss": 0.814, + "step": 4926 + }, + { + "epoch": 0.34, + "learning_rate": 7.749385786716048e-06, + "loss": 0.5518, + "step": 4927 + }, + { + "epoch": 0.34, + "learning_rate": 7.748465405271728e-06, + "loss": 0.9052, + "step": 4928 + }, + { + "epoch": 0.34, + "learning_rate": 7.747544890354031e-06, + "loss": 0.8163, + "step": 4929 + }, + { + "epoch": 0.34, + "learning_rate": 7.74662424200766e-06, + "loss": 0.964, + "step": 4930 + }, + { + "epoch": 0.34, + "learning_rate": 7.745703460277327e-06, + "loss": 0.9677, + "step": 4931 + }, + { + "epoch": 0.34, + "learning_rate": 7.744782545207745e-06, + "loss": 0.6555, + "step": 4932 + }, + { + "epoch": 0.34, + "learning_rate": 7.743861496843637e-06, + "loss": 0.8494, + "step": 4933 + }, + { + "epoch": 0.34, + "learning_rate": 7.742940315229733e-06, + "loss": 0.6181, + "step": 4934 + }, + { + "epoch": 0.34, + "learning_rate": 7.742019000410767e-06, + "loss": 0.6444, + "step": 4935 + }, + { + "epoch": 0.34, + "learning_rate": 7.741097552431481e-06, + "loss": 0.7288, + "step": 4936 + }, + { + "epoch": 0.34, + "learning_rate": 7.740175971336624e-06, + "loss": 0.8102, + "step": 4937 + }, + { + "epoch": 0.34, + "learning_rate": 7.739254257170947e-06, + "loss": 0.7254, + "step": 4938 + }, + { + "epoch": 0.34, + "learning_rate": 7.738332409979216e-06, + "loss": 0.6953, + "step": 4939 + }, + { + "epoch": 0.34, + "learning_rate": 7.737410429806197e-06, + "loss": 0.811, + "step": 4940 + }, + { + "epoch": 0.34, + "learning_rate": 7.736488316696663e-06, + "loss": 0.753, + "step": 4941 + }, + { + "epoch": 0.34, + "learning_rate": 7.735566070695394e-06, + "loss": 0.8536, + "step": 4942 + }, + { + "epoch": 0.34, + "learning_rate": 7.734643691847178e-06, + "loss": 0.726, + "step": 4943 + }, + { + "epoch": 0.34, + "learning_rate": 7.73372118019681e-06, + "loss": 0.6398, + "step": 4944 + }, + { + "epoch": 0.34, + "learning_rate": 7.732798535789086e-06, + "loss": 0.7031, + "step": 4945 + }, + { + "epoch": 0.34, + "learning_rate": 7.731875758668815e-06, + "loss": 0.8628, + "step": 4946 + }, + { + "epoch": 0.34, + "learning_rate": 7.730952848880809e-06, + "loss": 0.8842, + "step": 4947 + }, + { + "epoch": 0.34, + "learning_rate": 7.730029806469886e-06, + "loss": 0.8883, + "step": 4948 + }, + { + "epoch": 0.34, + "learning_rate": 7.729106631480874e-06, + "loss": 0.9889, + "step": 4949 + }, + { + "epoch": 0.34, + "learning_rate": 7.728183323958603e-06, + "loss": 0.7578, + "step": 4950 + }, + { + "epoch": 0.34, + "learning_rate": 7.727259883947913e-06, + "loss": 0.5768, + "step": 4951 + }, + { + "epoch": 0.34, + "learning_rate": 7.726336311493647e-06, + "loss": 0.7966, + "step": 4952 + }, + { + "epoch": 0.34, + "learning_rate": 7.725412606640658e-06, + "loss": 0.8809, + "step": 4953 + }, + { + "epoch": 0.34, + "learning_rate": 7.724488769433805e-06, + "loss": 0.9376, + "step": 4954 + }, + { + "epoch": 0.34, + "learning_rate": 7.723564799917949e-06, + "loss": 0.7244, + "step": 4955 + }, + { + "epoch": 0.34, + "learning_rate": 7.722640698137961e-06, + "loss": 0.6978, + "step": 4956 + }, + { + "epoch": 0.34, + "learning_rate": 7.72171646413872e-06, + "loss": 0.8785, + "step": 4957 + }, + { + "epoch": 0.34, + "learning_rate": 7.720792097965109e-06, + "loss": 0.8111, + "step": 4958 + }, + { + "epoch": 0.34, + "learning_rate": 7.719867599662017e-06, + "loss": 0.5374, + "step": 4959 + }, + { + "epoch": 0.34, + "learning_rate": 7.71894296927434e-06, + "loss": 0.9343, + "step": 4960 + }, + { + "epoch": 0.34, + "learning_rate": 7.718018206846981e-06, + "loss": 0.8484, + "step": 4961 + }, + { + "epoch": 0.34, + "learning_rate": 7.71709331242485e-06, + "loss": 0.7376, + "step": 4962 + }, + { + "epoch": 0.34, + "learning_rate": 7.716168286052864e-06, + "loss": 0.7244, + "step": 4963 + }, + { + "epoch": 0.34, + "learning_rate": 7.71524312777594e-06, + "loss": 0.8853, + "step": 4964 + }, + { + "epoch": 0.34, + "learning_rate": 7.714317837639011e-06, + "loss": 0.4048, + "step": 4965 + }, + { + "epoch": 0.34, + "learning_rate": 7.71339241568701e-06, + "loss": 0.6247, + "step": 4966 + }, + { + "epoch": 0.34, + "learning_rate": 7.712466861964877e-06, + "loss": 0.6559, + "step": 4967 + }, + { + "epoch": 0.34, + "learning_rate": 7.711541176517563e-06, + "loss": 0.8835, + "step": 4968 + }, + { + "epoch": 0.34, + "learning_rate": 7.710615359390018e-06, + "loss": 0.7999, + "step": 4969 + }, + { + "epoch": 0.34, + "learning_rate": 7.709689410627204e-06, + "loss": 0.6704, + "step": 4970 + }, + { + "epoch": 0.34, + "learning_rate": 7.708763330274088e-06, + "loss": 0.7886, + "step": 4971 + }, + { + "epoch": 0.34, + "learning_rate": 7.707837118375643e-06, + "loss": 0.8358, + "step": 4972 + }, + { + "epoch": 0.34, + "learning_rate": 7.706910774976849e-06, + "loss": 0.7636, + "step": 4973 + }, + { + "epoch": 0.34, + "learning_rate": 7.70598430012269e-06, + "loss": 0.8747, + "step": 4974 + }, + { + "epoch": 0.34, + "learning_rate": 7.70505769385816e-06, + "loss": 0.5973, + "step": 4975 + }, + { + "epoch": 0.34, + "learning_rate": 7.704130956228259e-06, + "loss": 0.7645, + "step": 4976 + }, + { + "epoch": 0.34, + "learning_rate": 7.703204087277989e-06, + "loss": 0.9497, + "step": 4977 + }, + { + "epoch": 0.34, + "learning_rate": 7.702277087052362e-06, + "loss": 0.8042, + "step": 4978 + }, + { + "epoch": 0.34, + "learning_rate": 7.701349955596397e-06, + "loss": 0.8416, + "step": 4979 + }, + { + "epoch": 0.34, + "learning_rate": 7.700422692955118e-06, + "loss": 0.7031, + "step": 4980 + }, + { + "epoch": 0.34, + "learning_rate": 7.699495299173554e-06, + "loss": 1.0981, + "step": 4981 + }, + { + "epoch": 0.34, + "learning_rate": 7.698567774296745e-06, + "loss": 0.689, + "step": 4982 + }, + { + "epoch": 0.34, + "learning_rate": 7.69764011836973e-06, + "loss": 0.9104, + "step": 4983 + }, + { + "epoch": 0.34, + "learning_rate": 7.696712331437565e-06, + "loss": 0.8086, + "step": 4984 + }, + { + "epoch": 0.34, + "learning_rate": 7.6957844135453e-06, + "loss": 0.6499, + "step": 4985 + }, + { + "epoch": 0.34, + "learning_rate": 7.694856364737997e-06, + "loss": 0.8269, + "step": 4986 + }, + { + "epoch": 0.34, + "learning_rate": 7.69392818506073e-06, + "loss": 0.7701, + "step": 4987 + }, + { + "epoch": 0.34, + "learning_rate": 7.69299987455857e-06, + "loss": 0.6883, + "step": 4988 + }, + { + "epoch": 0.34, + "learning_rate": 7.6920714332766e-06, + "loss": 0.7205, + "step": 4989 + }, + { + "epoch": 0.34, + "learning_rate": 7.691142861259909e-06, + "loss": 0.9373, + "step": 4990 + }, + { + "epoch": 0.34, + "learning_rate": 7.690214158553586e-06, + "loss": 0.7253, + "step": 4991 + }, + { + "epoch": 0.34, + "learning_rate": 7.689285325202735e-06, + "loss": 0.9155, + "step": 4992 + }, + { + "epoch": 0.34, + "learning_rate": 7.688356361252466e-06, + "loss": 0.5142, + "step": 4993 + }, + { + "epoch": 0.34, + "learning_rate": 7.687427266747886e-06, + "loss": 0.9313, + "step": 4994 + }, + { + "epoch": 0.34, + "learning_rate": 7.686498041734121e-06, + "loss": 0.8265, + "step": 4995 + }, + { + "epoch": 0.34, + "learning_rate": 7.685568686256291e-06, + "loss": 0.7463, + "step": 4996 + }, + { + "epoch": 0.34, + "learning_rate": 7.684639200359529e-06, + "loss": 0.7921, + "step": 4997 + }, + { + "epoch": 0.34, + "learning_rate": 7.683709584088976e-06, + "loss": 0.9222, + "step": 4998 + }, + { + "epoch": 0.34, + "learning_rate": 7.682779837489777e-06, + "loss": 0.8215, + "step": 4999 + }, + { + "epoch": 0.34, + "learning_rate": 7.681849960607081e-06, + "loss": 0.807, + "step": 5000 + }, + { + "epoch": 0.34, + "learning_rate": 7.680919953486047e-06, + "loss": 0.864, + "step": 5001 + }, + { + "epoch": 0.34, + "learning_rate": 7.679989816171838e-06, + "loss": 0.7861, + "step": 5002 + }, + { + "epoch": 0.34, + "learning_rate": 7.679059548709624e-06, + "loss": 0.813, + "step": 5003 + }, + { + "epoch": 0.34, + "learning_rate": 7.678129151144582e-06, + "loss": 0.8587, + "step": 5004 + }, + { + "epoch": 0.34, + "learning_rate": 7.677198623521894e-06, + "loss": 0.705, + "step": 5005 + }, + { + "epoch": 0.34, + "learning_rate": 7.676267965886753e-06, + "loss": 0.6254, + "step": 5006 + }, + { + "epoch": 0.34, + "learning_rate": 7.675337178284347e-06, + "loss": 0.8794, + "step": 5007 + }, + { + "epoch": 0.34, + "learning_rate": 7.674406260759884e-06, + "loss": 0.6688, + "step": 5008 + }, + { + "epoch": 0.34, + "learning_rate": 7.67347521335857e-06, + "loss": 0.6905, + "step": 5009 + }, + { + "epoch": 0.34, + "learning_rate": 7.672544036125618e-06, + "loss": 0.7303, + "step": 5010 + }, + { + "epoch": 0.34, + "learning_rate": 7.67161272910625e-06, + "loss": 0.9397, + "step": 5011 + }, + { + "epoch": 0.34, + "learning_rate": 7.670681292345694e-06, + "loss": 0.5811, + "step": 5012 + }, + { + "epoch": 0.34, + "learning_rate": 7.669749725889182e-06, + "loss": 0.6197, + "step": 5013 + }, + { + "epoch": 0.34, + "learning_rate": 7.668818029781952e-06, + "loss": 0.6021, + "step": 5014 + }, + { + "epoch": 0.34, + "learning_rate": 7.667886204069253e-06, + "loss": 0.9616, + "step": 5015 + }, + { + "epoch": 0.34, + "learning_rate": 7.666954248796335e-06, + "loss": 0.8168, + "step": 5016 + }, + { + "epoch": 0.34, + "learning_rate": 7.666022164008458e-06, + "loss": 0.8826, + "step": 5017 + }, + { + "epoch": 0.34, + "learning_rate": 7.665089949750883e-06, + "loss": 0.6141, + "step": 5018 + }, + { + "epoch": 0.34, + "learning_rate": 7.664157606068885e-06, + "loss": 0.8633, + "step": 5019 + }, + { + "epoch": 0.34, + "learning_rate": 7.66322513300774e-06, + "loss": 0.8681, + "step": 5020 + }, + { + "epoch": 0.34, + "learning_rate": 7.662292530612734e-06, + "loss": 0.7502, + "step": 5021 + }, + { + "epoch": 0.34, + "learning_rate": 7.661359798929152e-06, + "loss": 0.7839, + "step": 5022 + }, + { + "epoch": 0.34, + "learning_rate": 7.660426938002293e-06, + "loss": 0.3887, + "step": 5023 + }, + { + "epoch": 0.34, + "learning_rate": 7.659493947877459e-06, + "loss": 0.5399, + "step": 5024 + }, + { + "epoch": 0.34, + "learning_rate": 7.65856082859996e-06, + "loss": 0.6073, + "step": 5025 + }, + { + "epoch": 0.34, + "learning_rate": 7.657627580215107e-06, + "loss": 0.7443, + "step": 5026 + }, + { + "epoch": 0.34, + "learning_rate": 7.656694202768225e-06, + "loss": 0.6587, + "step": 5027 + }, + { + "epoch": 0.34, + "learning_rate": 7.655760696304642e-06, + "loss": 0.9395, + "step": 5028 + }, + { + "epoch": 0.34, + "learning_rate": 7.654827060869687e-06, + "loss": 0.5275, + "step": 5029 + }, + { + "epoch": 0.34, + "learning_rate": 7.653893296508705e-06, + "loss": 0.625, + "step": 5030 + }, + { + "epoch": 0.34, + "learning_rate": 7.65295940326704e-06, + "loss": 0.82, + "step": 5031 + }, + { + "epoch": 0.34, + "learning_rate": 7.652025381190045e-06, + "loss": 0.6692, + "step": 5032 + }, + { + "epoch": 0.34, + "learning_rate": 7.651091230323079e-06, + "loss": 0.7892, + "step": 5033 + }, + { + "epoch": 0.34, + "learning_rate": 7.650156950711506e-06, + "loss": 0.6575, + "step": 5034 + }, + { + "epoch": 0.34, + "learning_rate": 7.649222542400698e-06, + "loss": 0.5473, + "step": 5035 + }, + { + "epoch": 0.34, + "learning_rate": 7.648288005436034e-06, + "loss": 0.9647, + "step": 5036 + }, + { + "epoch": 0.34, + "learning_rate": 7.647353339862895e-06, + "loss": 0.915, + "step": 5037 + }, + { + "epoch": 0.34, + "learning_rate": 7.646418545726673e-06, + "loss": 1.0301, + "step": 5038 + }, + { + "epoch": 0.34, + "learning_rate": 7.645483623072764e-06, + "loss": 0.8235, + "step": 5039 + }, + { + "epoch": 0.34, + "learning_rate": 7.644548571946569e-06, + "loss": 0.8144, + "step": 5040 + }, + { + "epoch": 0.34, + "learning_rate": 7.643613392393498e-06, + "loss": 0.778, + "step": 5041 + }, + { + "epoch": 0.34, + "learning_rate": 7.642678084458968e-06, + "loss": 0.9328, + "step": 5042 + }, + { + "epoch": 0.34, + "learning_rate": 7.641742648188397e-06, + "loss": 0.7801, + "step": 5043 + }, + { + "epoch": 0.34, + "learning_rate": 7.640807083627214e-06, + "loss": 0.669, + "step": 5044 + }, + { + "epoch": 0.34, + "learning_rate": 7.639871390820853e-06, + "loss": 0.6646, + "step": 5045 + }, + { + "epoch": 0.34, + "learning_rate": 7.638935569814752e-06, + "loss": 0.9052, + "step": 5046 + }, + { + "epoch": 0.34, + "learning_rate": 7.637999620654359e-06, + "loss": 0.6178, + "step": 5047 + }, + { + "epoch": 0.34, + "learning_rate": 7.637063543385128e-06, + "loss": 0.9546, + "step": 5048 + }, + { + "epoch": 0.34, + "learning_rate": 7.636127338052513e-06, + "loss": 0.7924, + "step": 5049 + }, + { + "epoch": 0.34, + "learning_rate": 7.635191004701981e-06, + "loss": 0.6635, + "step": 5050 + }, + { + "epoch": 0.34, + "learning_rate": 7.634254543379005e-06, + "loss": 0.564, + "step": 5051 + }, + { + "epoch": 0.34, + "learning_rate": 7.63331795412906e-06, + "loss": 0.6064, + "step": 5052 + }, + { + "epoch": 0.34, + "learning_rate": 7.632381236997633e-06, + "loss": 0.7024, + "step": 5053 + }, + { + "epoch": 0.34, + "learning_rate": 7.631444392030206e-06, + "loss": 0.7518, + "step": 5054 + }, + { + "epoch": 0.34, + "learning_rate": 7.630507419272281e-06, + "loss": 0.8025, + "step": 5055 + }, + { + "epoch": 0.34, + "learning_rate": 7.62957031876936e-06, + "loss": 0.7385, + "step": 5056 + }, + { + "epoch": 0.34, + "learning_rate": 7.628633090566949e-06, + "loss": 0.7555, + "step": 5057 + }, + { + "epoch": 0.34, + "learning_rate": 7.627695734710565e-06, + "loss": 0.7476, + "step": 5058 + }, + { + "epoch": 0.34, + "learning_rate": 7.6267582512457275e-06, + "loss": 0.7793, + "step": 5059 + }, + { + "epoch": 0.34, + "learning_rate": 7.6258206402179604e-06, + "loss": 0.8153, + "step": 5060 + }, + { + "epoch": 0.34, + "learning_rate": 7.624882901672801e-06, + "loss": 0.8633, + "step": 5061 + }, + { + "epoch": 0.34, + "learning_rate": 7.623945035655787e-06, + "loss": 0.7444, + "step": 5062 + }, + { + "epoch": 0.34, + "learning_rate": 7.623007042212466e-06, + "loss": 0.7417, + "step": 5063 + }, + { + "epoch": 0.34, + "learning_rate": 7.622068921388384e-06, + "loss": 0.653, + "step": 5064 + }, + { + "epoch": 0.34, + "learning_rate": 7.621130673229105e-06, + "loss": 0.7336, + "step": 5065 + }, + { + "epoch": 0.34, + "learning_rate": 7.620192297780189e-06, + "loss": 0.8137, + "step": 5066 + }, + { + "epoch": 0.34, + "learning_rate": 7.619253795087209e-06, + "loss": 0.6509, + "step": 5067 + }, + { + "epoch": 0.34, + "learning_rate": 7.61831516519574e-06, + "loss": 0.8519, + "step": 5068 + }, + { + "epoch": 0.34, + "learning_rate": 7.617376408151363e-06, + "loss": 0.6915, + "step": 5069 + }, + { + "epoch": 0.34, + "learning_rate": 7.6164375239996694e-06, + "loss": 0.7119, + "step": 5070 + }, + { + "epoch": 0.35, + "learning_rate": 7.615498512786252e-06, + "loss": 0.8594, + "step": 5071 + }, + { + "epoch": 0.35, + "learning_rate": 7.614559374556716e-06, + "loss": 0.7006, + "step": 5072 + }, + { + "epoch": 0.35, + "learning_rate": 7.613620109356663e-06, + "loss": 0.6797, + "step": 5073 + }, + { + "epoch": 0.35, + "learning_rate": 7.612680717231709e-06, + "loss": 0.666, + "step": 5074 + }, + { + "epoch": 0.35, + "learning_rate": 7.611741198227475e-06, + "loss": 0.9733, + "step": 5075 + }, + { + "epoch": 0.35, + "learning_rate": 7.610801552389584e-06, + "loss": 0.7424, + "step": 5076 + }, + { + "epoch": 0.35, + "learning_rate": 7.609861779763671e-06, + "loss": 0.9987, + "step": 5077 + }, + { + "epoch": 0.35, + "learning_rate": 7.60892188039537e-06, + "loss": 0.6403, + "step": 5078 + }, + { + "epoch": 0.35, + "learning_rate": 7.60798185433033e-06, + "loss": 0.696, + "step": 5079 + }, + { + "epoch": 0.35, + "learning_rate": 7.607041701614198e-06, + "loss": 0.6179, + "step": 5080 + }, + { + "epoch": 0.35, + "learning_rate": 7.606101422292629e-06, + "loss": 0.8067, + "step": 5081 + }, + { + "epoch": 0.35, + "learning_rate": 7.605161016411291e-06, + "loss": 1.006, + "step": 5082 + }, + { + "epoch": 0.35, + "learning_rate": 7.60422048401585e-06, + "loss": 0.6117, + "step": 5083 + }, + { + "epoch": 0.35, + "learning_rate": 7.603279825151979e-06, + "loss": 0.8111, + "step": 5084 + }, + { + "epoch": 0.35, + "learning_rate": 7.602339039865362e-06, + "loss": 0.6948, + "step": 5085 + }, + { + "epoch": 0.35, + "learning_rate": 7.601398128201685e-06, + "loss": 0.8428, + "step": 5086 + }, + { + "epoch": 0.35, + "learning_rate": 7.6004570902066425e-06, + "loss": 0.7007, + "step": 5087 + }, + { + "epoch": 0.35, + "learning_rate": 7.599515925925931e-06, + "loss": 0.8539, + "step": 5088 + }, + { + "epoch": 0.35, + "learning_rate": 7.5985746354052595e-06, + "loss": 0.9391, + "step": 5089 + }, + { + "epoch": 0.35, + "learning_rate": 7.597633218690339e-06, + "loss": 0.7791, + "step": 5090 + }, + { + "epoch": 0.35, + "learning_rate": 7.596691675826886e-06, + "loss": 0.6714, + "step": 5091 + }, + { + "epoch": 0.35, + "learning_rate": 7.595750006860625e-06, + "loss": 0.7414, + "step": 5092 + }, + { + "epoch": 0.35, + "learning_rate": 7.594808211837288e-06, + "loss": 0.7621, + "step": 5093 + }, + { + "epoch": 0.35, + "learning_rate": 7.593866290802608e-06, + "loss": 0.7313, + "step": 5094 + }, + { + "epoch": 0.35, + "learning_rate": 7.592924243802329e-06, + "loss": 0.7985, + "step": 5095 + }, + { + "epoch": 0.35, + "learning_rate": 7.5919820708822025e-06, + "loss": 0.7658, + "step": 5096 + }, + { + "epoch": 0.35, + "learning_rate": 7.5910397720879785e-06, + "loss": 0.9354, + "step": 5097 + }, + { + "epoch": 0.35, + "learning_rate": 7.590097347465419e-06, + "loss": 0.6762, + "step": 5098 + }, + { + "epoch": 0.35, + "learning_rate": 7.589154797060292e-06, + "loss": 0.6796, + "step": 5099 + }, + { + "epoch": 0.35, + "learning_rate": 7.5882121209183704e-06, + "loss": 0.7125, + "step": 5100 + }, + { + "epoch": 0.35, + "learning_rate": 7.587269319085433e-06, + "loss": 0.7614, + "step": 5101 + }, + { + "epoch": 0.35, + "learning_rate": 7.5863263916072636e-06, + "loss": 0.6526, + "step": 5102 + }, + { + "epoch": 0.35, + "learning_rate": 7.5853833385296545e-06, + "loss": 0.8067, + "step": 5103 + }, + { + "epoch": 0.35, + "learning_rate": 7.584440159898405e-06, + "loss": 0.9494, + "step": 5104 + }, + { + "epoch": 0.35, + "learning_rate": 7.5834968557593155e-06, + "loss": 1.0059, + "step": 5105 + }, + { + "epoch": 0.35, + "learning_rate": 7.582553426158196e-06, + "loss": 0.7362, + "step": 5106 + }, + { + "epoch": 0.35, + "learning_rate": 7.5816098711408644e-06, + "loss": 0.73, + "step": 5107 + }, + { + "epoch": 0.35, + "learning_rate": 7.580666190753141e-06, + "loss": 0.5355, + "step": 5108 + }, + { + "epoch": 0.35, + "learning_rate": 7.579722385040852e-06, + "loss": 0.6754, + "step": 5109 + }, + { + "epoch": 0.35, + "learning_rate": 7.578778454049834e-06, + "loss": 0.8554, + "step": 5110 + }, + { + "epoch": 0.35, + "learning_rate": 7.577834397825925e-06, + "loss": 0.7224, + "step": 5111 + }, + { + "epoch": 0.35, + "learning_rate": 7.576890216414973e-06, + "loss": 0.5296, + "step": 5112 + }, + { + "epoch": 0.35, + "learning_rate": 7.575945909862829e-06, + "loss": 0.7637, + "step": 5113 + }, + { + "epoch": 0.35, + "learning_rate": 7.575001478215351e-06, + "loss": 0.9581, + "step": 5114 + }, + { + "epoch": 0.35, + "learning_rate": 7.5740569215184044e-06, + "loss": 0.6561, + "step": 5115 + }, + { + "epoch": 0.35, + "learning_rate": 7.573112239817857e-06, + "loss": 0.625, + "step": 5116 + }, + { + "epoch": 0.35, + "learning_rate": 7.5721674331595895e-06, + "loss": 0.8347, + "step": 5117 + }, + { + "epoch": 0.35, + "learning_rate": 7.571222501589481e-06, + "loss": 0.7531, + "step": 5118 + }, + { + "epoch": 0.35, + "learning_rate": 7.570277445153422e-06, + "loss": 0.7447, + "step": 5119 + }, + { + "epoch": 0.35, + "learning_rate": 7.569332263897305e-06, + "loss": 0.541, + "step": 5120 + }, + { + "epoch": 0.35, + "learning_rate": 7.568386957867033e-06, + "loss": 0.6174, + "step": 5121 + }, + { + "epoch": 0.35, + "learning_rate": 7.567441527108511e-06, + "loss": 0.7271, + "step": 5122 + }, + { + "epoch": 0.35, + "learning_rate": 7.566495971667654e-06, + "loss": 0.6534, + "step": 5123 + }, + { + "epoch": 0.35, + "learning_rate": 7.565550291590378e-06, + "loss": 0.8348, + "step": 5124 + }, + { + "epoch": 0.35, + "learning_rate": 7.564604486922611e-06, + "loss": 0.8592, + "step": 5125 + }, + { + "epoch": 0.35, + "learning_rate": 7.563658557710281e-06, + "loss": 0.9638, + "step": 5126 + }, + { + "epoch": 0.35, + "learning_rate": 7.562712503999327e-06, + "loss": 0.6923, + "step": 5127 + }, + { + "epoch": 0.35, + "learning_rate": 7.561766325835692e-06, + "loss": 0.6658, + "step": 5128 + }, + { + "epoch": 0.35, + "learning_rate": 7.5608200232653254e-06, + "loss": 0.6262, + "step": 5129 + }, + { + "epoch": 0.35, + "learning_rate": 7.559873596334179e-06, + "loss": 0.4496, + "step": 5130 + }, + { + "epoch": 0.35, + "learning_rate": 7.558927045088219e-06, + "loss": 0.812, + "step": 5131 + }, + { + "epoch": 0.35, + "learning_rate": 7.55798036957341e-06, + "loss": 0.6898, + "step": 5132 + }, + { + "epoch": 0.35, + "learning_rate": 7.557033569835726e-06, + "loss": 0.8707, + "step": 5133 + }, + { + "epoch": 0.35, + "learning_rate": 7.556086645921144e-06, + "loss": 0.6404, + "step": 5134 + }, + { + "epoch": 0.35, + "learning_rate": 7.555139597875654e-06, + "loss": 0.7675, + "step": 5135 + }, + { + "epoch": 0.35, + "learning_rate": 7.554192425745243e-06, + "loss": 0.9242, + "step": 5136 + }, + { + "epoch": 0.35, + "learning_rate": 7.55324512957591e-06, + "loss": 1.0813, + "step": 5137 + }, + { + "epoch": 0.35, + "learning_rate": 7.5522977094136584e-06, + "loss": 0.8034, + "step": 5138 + }, + { + "epoch": 0.35, + "learning_rate": 7.5513501653045e-06, + "loss": 0.6968, + "step": 5139 + }, + { + "epoch": 0.35, + "learning_rate": 7.5504024972944445e-06, + "loss": 0.609, + "step": 5140 + }, + { + "epoch": 0.35, + "learning_rate": 7.549454705429518e-06, + "loss": 1.0148, + "step": 5141 + }, + { + "epoch": 0.35, + "learning_rate": 7.54850678975575e-06, + "loss": 0.8269, + "step": 5142 + }, + { + "epoch": 0.35, + "learning_rate": 7.547558750319168e-06, + "loss": 0.5065, + "step": 5143 + }, + { + "epoch": 0.35, + "learning_rate": 7.546610587165815e-06, + "loss": 0.7718, + "step": 5144 + }, + { + "epoch": 0.35, + "learning_rate": 7.545662300341736e-06, + "loss": 0.9522, + "step": 5145 + }, + { + "epoch": 0.35, + "learning_rate": 7.544713889892982e-06, + "loss": 0.9752, + "step": 5146 + }, + { + "epoch": 0.35, + "learning_rate": 7.543765355865611e-06, + "loss": 0.8575, + "step": 5147 + }, + { + "epoch": 0.35, + "learning_rate": 7.542816698305686e-06, + "loss": 0.6789, + "step": 5148 + }, + { + "epoch": 0.35, + "learning_rate": 7.541867917259278e-06, + "loss": 0.8017, + "step": 5149 + }, + { + "epoch": 0.35, + "learning_rate": 7.540919012772462e-06, + "loss": 0.6264, + "step": 5150 + }, + { + "epoch": 0.35, + "learning_rate": 7.5399699848913186e-06, + "loss": 0.6524, + "step": 5151 + }, + { + "epoch": 0.35, + "learning_rate": 7.539020833661937e-06, + "loss": 0.8175, + "step": 5152 + }, + { + "epoch": 0.35, + "learning_rate": 7.538071559130409e-06, + "loss": 0.6645, + "step": 5153 + }, + { + "epoch": 0.35, + "learning_rate": 7.537122161342833e-06, + "loss": 0.7791, + "step": 5154 + }, + { + "epoch": 0.35, + "learning_rate": 7.536172640345318e-06, + "loss": 0.6445, + "step": 5155 + }, + { + "epoch": 0.35, + "learning_rate": 7.535222996183973e-06, + "loss": 0.8237, + "step": 5156 + }, + { + "epoch": 0.35, + "learning_rate": 7.534273228904916e-06, + "loss": 0.8211, + "step": 5157 + }, + { + "epoch": 0.35, + "learning_rate": 7.5333233385542705e-06, + "loss": 0.6161, + "step": 5158 + }, + { + "epoch": 0.35, + "learning_rate": 7.532373325178166e-06, + "loss": 0.9075, + "step": 5159 + }, + { + "epoch": 0.35, + "learning_rate": 7.531423188822738e-06, + "loss": 0.6721, + "step": 5160 + }, + { + "epoch": 0.35, + "learning_rate": 7.530472929534126e-06, + "loss": 0.6018, + "step": 5161 + }, + { + "epoch": 0.35, + "learning_rate": 7.529522547358481e-06, + "loss": 0.6173, + "step": 5162 + }, + { + "epoch": 0.35, + "learning_rate": 7.528572042341954e-06, + "loss": 0.6589, + "step": 5163 + }, + { + "epoch": 0.35, + "learning_rate": 7.527621414530704e-06, + "loss": 0.7594, + "step": 5164 + }, + { + "epoch": 0.35, + "learning_rate": 7.5266706639708965e-06, + "loss": 0.6256, + "step": 5165 + }, + { + "epoch": 0.35, + "learning_rate": 7.525719790708703e-06, + "loss": 0.7928, + "step": 5166 + }, + { + "epoch": 0.35, + "learning_rate": 7.5247687947903e-06, + "loss": 0.7957, + "step": 5167 + }, + { + "epoch": 0.35, + "learning_rate": 7.523817676261871e-06, + "loss": 0.8855, + "step": 5168 + }, + { + "epoch": 0.35, + "learning_rate": 7.522866435169606e-06, + "loss": 0.6789, + "step": 5169 + }, + { + "epoch": 0.35, + "learning_rate": 7.5219150715597e-06, + "loss": 0.6902, + "step": 5170 + }, + { + "epoch": 0.35, + "learning_rate": 7.520963585478353e-06, + "loss": 1.0054, + "step": 5171 + }, + { + "epoch": 0.35, + "learning_rate": 7.520011976971771e-06, + "loss": 0.6979, + "step": 5172 + }, + { + "epoch": 0.35, + "learning_rate": 7.519060246086168e-06, + "loss": 0.8029, + "step": 5173 + }, + { + "epoch": 0.35, + "learning_rate": 7.518108392867762e-06, + "loss": 0.8313, + "step": 5174 + }, + { + "epoch": 0.35, + "learning_rate": 7.5171564173627795e-06, + "loss": 1.0572, + "step": 5175 + }, + { + "epoch": 0.35, + "learning_rate": 7.516204319617451e-06, + "loss": 0.7178, + "step": 5176 + }, + { + "epoch": 0.35, + "learning_rate": 7.515252099678011e-06, + "loss": 1.0493, + "step": 5177 + }, + { + "epoch": 0.35, + "learning_rate": 7.514299757590701e-06, + "loss": 0.8977, + "step": 5178 + }, + { + "epoch": 0.35, + "learning_rate": 7.513347293401774e-06, + "loss": 0.584, + "step": 5179 + }, + { + "epoch": 0.35, + "learning_rate": 7.5123947071574836e-06, + "loss": 0.8076, + "step": 5180 + }, + { + "epoch": 0.35, + "learning_rate": 7.5114419989040856e-06, + "loss": 0.7288, + "step": 5181 + }, + { + "epoch": 0.35, + "learning_rate": 7.510489168687851e-06, + "loss": 0.855, + "step": 5182 + }, + { + "epoch": 0.35, + "learning_rate": 7.509536216555049e-06, + "loss": 0.8696, + "step": 5183 + }, + { + "epoch": 0.35, + "learning_rate": 7.508583142551959e-06, + "loss": 0.7795, + "step": 5184 + }, + { + "epoch": 0.35, + "learning_rate": 7.507629946724866e-06, + "loss": 1.0367, + "step": 5185 + }, + { + "epoch": 0.35, + "learning_rate": 7.506676629120058e-06, + "loss": 0.6361, + "step": 5186 + }, + { + "epoch": 0.35, + "learning_rate": 7.505723189783831e-06, + "loss": 0.7231, + "step": 5187 + }, + { + "epoch": 0.35, + "learning_rate": 7.504769628762488e-06, + "loss": 0.7938, + "step": 5188 + }, + { + "epoch": 0.35, + "learning_rate": 7.503815946102338e-06, + "loss": 0.787, + "step": 5189 + }, + { + "epoch": 0.35, + "learning_rate": 7.5028621418496905e-06, + "loss": 0.6152, + "step": 5190 + }, + { + "epoch": 0.35, + "learning_rate": 7.501908216050867e-06, + "loss": 0.7051, + "step": 5191 + }, + { + "epoch": 0.35, + "learning_rate": 7.500954168752193e-06, + "loss": 0.8824, + "step": 5192 + }, + { + "epoch": 0.35, + "learning_rate": 7.500000000000001e-06, + "loss": 0.9019, + "step": 5193 + }, + { + "epoch": 0.35, + "learning_rate": 7.499045709840626e-06, + "loss": 0.6259, + "step": 5194 + }, + { + "epoch": 0.35, + "learning_rate": 7.498091298320412e-06, + "loss": 0.6174, + "step": 5195 + }, + { + "epoch": 0.35, + "learning_rate": 7.497136765485708e-06, + "loss": 0.6352, + "step": 5196 + }, + { + "epoch": 0.35, + "learning_rate": 7.49618211138287e-06, + "loss": 0.6983, + "step": 5197 + }, + { + "epoch": 0.35, + "learning_rate": 7.495227336058256e-06, + "loss": 0.7555, + "step": 5198 + }, + { + "epoch": 0.35, + "learning_rate": 7.494272439558235e-06, + "loss": 0.7079, + "step": 5199 + }, + { + "epoch": 0.35, + "learning_rate": 7.493317421929179e-06, + "loss": 1.0292, + "step": 5200 + }, + { + "epoch": 0.35, + "learning_rate": 7.492362283217467e-06, + "loss": 0.8883, + "step": 5201 + }, + { + "epoch": 0.35, + "learning_rate": 7.4914070234694804e-06, + "loss": 0.8459, + "step": 5202 + }, + { + "epoch": 0.35, + "learning_rate": 7.490451642731612e-06, + "loss": 0.8223, + "step": 5203 + }, + { + "epoch": 0.35, + "learning_rate": 7.489496141050259e-06, + "loss": 0.6759, + "step": 5204 + }, + { + "epoch": 0.35, + "learning_rate": 7.488540518471819e-06, + "loss": 0.7034, + "step": 5205 + }, + { + "epoch": 0.35, + "learning_rate": 7.487584775042702e-06, + "loss": 0.625, + "step": 5206 + }, + { + "epoch": 0.35, + "learning_rate": 7.4866289108093235e-06, + "loss": 0.6219, + "step": 5207 + }, + { + "epoch": 0.35, + "learning_rate": 7.485672925818102e-06, + "loss": 0.9086, + "step": 5208 + }, + { + "epoch": 0.35, + "learning_rate": 7.484716820115461e-06, + "loss": 0.6299, + "step": 5209 + }, + { + "epoch": 0.35, + "learning_rate": 7.483760593747834e-06, + "loss": 0.8854, + "step": 5210 + }, + { + "epoch": 0.35, + "learning_rate": 7.482804246761657e-06, + "loss": 0.6664, + "step": 5211 + }, + { + "epoch": 0.35, + "learning_rate": 7.4818477792033725e-06, + "loss": 0.8947, + "step": 5212 + }, + { + "epoch": 0.35, + "learning_rate": 7.4808911911194305e-06, + "loss": 0.89, + "step": 5213 + }, + { + "epoch": 0.35, + "learning_rate": 7.479934482556284e-06, + "loss": 0.8498, + "step": 5214 + }, + { + "epoch": 0.35, + "learning_rate": 7.478977653560398e-06, + "loss": 0.7717, + "step": 5215 + }, + { + "epoch": 0.35, + "learning_rate": 7.47802070417823e-06, + "loss": 0.6089, + "step": 5216 + }, + { + "epoch": 0.35, + "learning_rate": 7.477063634456263e-06, + "loss": 0.5539, + "step": 5217 + }, + { + "epoch": 0.36, + "learning_rate": 7.476106444440967e-06, + "loss": 0.6795, + "step": 5218 + }, + { + "epoch": 0.36, + "learning_rate": 7.475149134178829e-06, + "loss": 0.8078, + "step": 5219 + }, + { + "epoch": 0.36, + "learning_rate": 7.474191703716339e-06, + "loss": 0.9287, + "step": 5220 + }, + { + "epoch": 0.36, + "learning_rate": 7.473234153099991e-06, + "loss": 0.6735, + "step": 5221 + }, + { + "epoch": 0.36, + "learning_rate": 7.472276482376288e-06, + "loss": 0.7748, + "step": 5222 + }, + { + "epoch": 0.36, + "learning_rate": 7.4713186915917365e-06, + "loss": 0.8883, + "step": 5223 + }, + { + "epoch": 0.36, + "learning_rate": 7.47036078079285e-06, + "loss": 0.6351, + "step": 5224 + }, + { + "epoch": 0.36, + "learning_rate": 7.469402750026147e-06, + "loss": 0.9876, + "step": 5225 + }, + { + "epoch": 0.36, + "learning_rate": 7.468444599338152e-06, + "loss": 0.7617, + "step": 5226 + }, + { + "epoch": 0.36, + "learning_rate": 7.467486328775395e-06, + "loss": 0.7438, + "step": 5227 + }, + { + "epoch": 0.36, + "learning_rate": 7.466527938384416e-06, + "loss": 0.4854, + "step": 5228 + }, + { + "epoch": 0.36, + "learning_rate": 7.465569428211752e-06, + "loss": 0.7271, + "step": 5229 + }, + { + "epoch": 0.36, + "learning_rate": 7.464610798303953e-06, + "loss": 0.771, + "step": 5230 + }, + { + "epoch": 0.36, + "learning_rate": 7.463652048707576e-06, + "loss": 1.0846, + "step": 5231 + }, + { + "epoch": 0.36, + "learning_rate": 7.462693179469176e-06, + "loss": 0.6972, + "step": 5232 + }, + { + "epoch": 0.36, + "learning_rate": 7.46173419063532e-06, + "loss": 0.5495, + "step": 5233 + }, + { + "epoch": 0.36, + "learning_rate": 7.460775082252581e-06, + "loss": 0.5519, + "step": 5234 + }, + { + "epoch": 0.36, + "learning_rate": 7.459815854367533e-06, + "loss": 0.4938, + "step": 5235 + }, + { + "epoch": 0.36, + "learning_rate": 7.458856507026762e-06, + "loss": 0.6596, + "step": 5236 + }, + { + "epoch": 0.36, + "learning_rate": 7.457897040276853e-06, + "loss": 0.8081, + "step": 5237 + }, + { + "epoch": 0.36, + "learning_rate": 7.456937454164404e-06, + "loss": 0.8403, + "step": 5238 + }, + { + "epoch": 0.36, + "learning_rate": 7.455977748736015e-06, + "loss": 0.5925, + "step": 5239 + }, + { + "epoch": 0.36, + "learning_rate": 7.455017924038289e-06, + "loss": 1.0273, + "step": 5240 + }, + { + "epoch": 0.36, + "learning_rate": 7.454057980117842e-06, + "loss": 0.7116, + "step": 5241 + }, + { + "epoch": 0.36, + "learning_rate": 7.453097917021288e-06, + "loss": 0.8241, + "step": 5242 + }, + { + "epoch": 0.36, + "learning_rate": 7.452137734795251e-06, + "loss": 0.8747, + "step": 5243 + }, + { + "epoch": 0.36, + "learning_rate": 7.451177433486362e-06, + "loss": 0.7344, + "step": 5244 + }, + { + "epoch": 0.36, + "learning_rate": 7.450217013141256e-06, + "loss": 0.7069, + "step": 5245 + }, + { + "epoch": 0.36, + "learning_rate": 7.449256473806572e-06, + "loss": 0.6336, + "step": 5246 + }, + { + "epoch": 0.36, + "learning_rate": 7.448295815528956e-06, + "loss": 0.6732, + "step": 5247 + }, + { + "epoch": 0.36, + "learning_rate": 7.447335038355064e-06, + "loss": 0.7421, + "step": 5248 + }, + { + "epoch": 0.36, + "learning_rate": 7.446374142331551e-06, + "loss": 1.0397, + "step": 5249 + }, + { + "epoch": 0.36, + "learning_rate": 7.445413127505081e-06, + "loss": 0.879, + "step": 5250 + }, + { + "epoch": 0.36, + "learning_rate": 7.444451993922325e-06, + "loss": 0.8121, + "step": 5251 + }, + { + "epoch": 0.36, + "learning_rate": 7.443490741629957e-06, + "loss": 0.9638, + "step": 5252 + }, + { + "epoch": 0.36, + "learning_rate": 7.442529370674661e-06, + "loss": 0.6344, + "step": 5253 + }, + { + "epoch": 0.36, + "learning_rate": 7.441567881103118e-06, + "loss": 0.9191, + "step": 5254 + }, + { + "epoch": 0.36, + "learning_rate": 7.440606272962027e-06, + "loss": 0.7831, + "step": 5255 + }, + { + "epoch": 0.36, + "learning_rate": 7.439644546298084e-06, + "loss": 0.767, + "step": 5256 + }, + { + "epoch": 0.36, + "learning_rate": 7.438682701157993e-06, + "loss": 0.6799, + "step": 5257 + }, + { + "epoch": 0.36, + "learning_rate": 7.437720737588464e-06, + "loss": 0.9373, + "step": 5258 + }, + { + "epoch": 0.36, + "learning_rate": 7.4367586556362125e-06, + "loss": 0.6329, + "step": 5259 + }, + { + "epoch": 0.36, + "learning_rate": 7.4357964553479615e-06, + "loss": 0.9578, + "step": 5260 + }, + { + "epoch": 0.36, + "learning_rate": 7.434834136770435e-06, + "loss": 0.7367, + "step": 5261 + }, + { + "epoch": 0.36, + "learning_rate": 7.433871699950369e-06, + "loss": 0.7954, + "step": 5262 + }, + { + "epoch": 0.36, + "learning_rate": 7.432909144934502e-06, + "loss": 0.9472, + "step": 5263 + }, + { + "epoch": 0.36, + "learning_rate": 7.431946471769576e-06, + "loss": 0.6453, + "step": 5264 + }, + { + "epoch": 0.36, + "learning_rate": 7.430983680502344e-06, + "loss": 0.8239, + "step": 5265 + }, + { + "epoch": 0.36, + "learning_rate": 7.430020771179562e-06, + "loss": 0.5781, + "step": 5266 + }, + { + "epoch": 0.36, + "learning_rate": 7.429057743847987e-06, + "loss": 0.8228, + "step": 5267 + }, + { + "epoch": 0.36, + "learning_rate": 7.428094598554392e-06, + "loss": 0.6526, + "step": 5268 + }, + { + "epoch": 0.36, + "learning_rate": 7.427131335345547e-06, + "loss": 0.7398, + "step": 5269 + }, + { + "epoch": 0.36, + "learning_rate": 7.426167954268232e-06, + "loss": 0.9939, + "step": 5270 + }, + { + "epoch": 0.36, + "learning_rate": 7.425204455369231e-06, + "loss": 1.0279, + "step": 5271 + }, + { + "epoch": 0.36, + "learning_rate": 7.4242408386953346e-06, + "loss": 0.8694, + "step": 5272 + }, + { + "epoch": 0.36, + "learning_rate": 7.423277104293338e-06, + "loss": 0.6355, + "step": 5273 + }, + { + "epoch": 0.36, + "learning_rate": 7.422313252210045e-06, + "loss": 0.505, + "step": 5274 + }, + { + "epoch": 0.36, + "learning_rate": 7.42134928249226e-06, + "loss": 0.7461, + "step": 5275 + }, + { + "epoch": 0.36, + "learning_rate": 7.420385195186799e-06, + "loss": 0.7602, + "step": 5276 + }, + { + "epoch": 0.36, + "learning_rate": 7.41942099034048e-06, + "loss": 0.6026, + "step": 5277 + }, + { + "epoch": 0.36, + "learning_rate": 7.4184566680001255e-06, + "loss": 0.7789, + "step": 5278 + }, + { + "epoch": 0.36, + "learning_rate": 7.417492228212568e-06, + "loss": 0.7234, + "step": 5279 + }, + { + "epoch": 0.36, + "learning_rate": 7.416527671024645e-06, + "loss": 0.8229, + "step": 5280 + }, + { + "epoch": 0.36, + "learning_rate": 7.415562996483193e-06, + "loss": 0.9053, + "step": 5281 + }, + { + "epoch": 0.36, + "learning_rate": 7.414598204635064e-06, + "loss": 0.8628, + "step": 5282 + }, + { + "epoch": 0.36, + "learning_rate": 7.413633295527109e-06, + "loss": 0.6671, + "step": 5283 + }, + { + "epoch": 0.36, + "learning_rate": 7.412668269206187e-06, + "loss": 0.7137, + "step": 5284 + }, + { + "epoch": 0.36, + "learning_rate": 7.411703125719163e-06, + "loss": 0.8569, + "step": 5285 + }, + { + "epoch": 0.36, + "learning_rate": 7.410737865112907e-06, + "loss": 0.6917, + "step": 5286 + }, + { + "epoch": 0.36, + "learning_rate": 7.4097724874342946e-06, + "loss": 0.8486, + "step": 5287 + }, + { + "epoch": 0.36, + "learning_rate": 7.408806992730208e-06, + "loss": 0.7413, + "step": 5288 + }, + { + "epoch": 0.36, + "learning_rate": 7.407841381047533e-06, + "loss": 0.7233, + "step": 5289 + }, + { + "epoch": 0.36, + "learning_rate": 7.406875652433162e-06, + "loss": 0.8855, + "step": 5290 + }, + { + "epoch": 0.36, + "learning_rate": 7.405909806933998e-06, + "loss": 0.6974, + "step": 5291 + }, + { + "epoch": 0.36, + "learning_rate": 7.404943844596939e-06, + "loss": 0.5652, + "step": 5292 + }, + { + "epoch": 0.36, + "learning_rate": 7.403977765468899e-06, + "loss": 0.8218, + "step": 5293 + }, + { + "epoch": 0.36, + "learning_rate": 7.403011569596793e-06, + "loss": 0.589, + "step": 5294 + }, + { + "epoch": 0.36, + "learning_rate": 7.402045257027541e-06, + "loss": 0.9292, + "step": 5295 + }, + { + "epoch": 0.36, + "learning_rate": 7.401078827808072e-06, + "loss": 0.6835, + "step": 5296 + }, + { + "epoch": 0.36, + "learning_rate": 7.400112281985316e-06, + "loss": 0.8938, + "step": 5297 + }, + { + "epoch": 0.36, + "learning_rate": 7.399145619606212e-06, + "loss": 0.8074, + "step": 5298 + }, + { + "epoch": 0.36, + "learning_rate": 7.398178840717705e-06, + "loss": 0.6829, + "step": 5299 + }, + { + "epoch": 0.36, + "learning_rate": 7.397211945366745e-06, + "loss": 0.7128, + "step": 5300 + }, + { + "epoch": 0.36, + "learning_rate": 7.396244933600285e-06, + "loss": 0.7637, + "step": 5301 + }, + { + "epoch": 0.36, + "learning_rate": 7.395277805465287e-06, + "loss": 0.7858, + "step": 5302 + }, + { + "epoch": 0.36, + "learning_rate": 7.394310561008717e-06, + "loss": 0.6712, + "step": 5303 + }, + { + "epoch": 0.36, + "learning_rate": 7.393343200277551e-06, + "loss": 0.7423, + "step": 5304 + }, + { + "epoch": 0.36, + "learning_rate": 7.392375723318761e-06, + "loss": 0.9495, + "step": 5305 + }, + { + "epoch": 0.36, + "learning_rate": 7.391408130179332e-06, + "loss": 0.7521, + "step": 5306 + }, + { + "epoch": 0.36, + "learning_rate": 7.390440420906257e-06, + "loss": 0.8665, + "step": 5307 + }, + { + "epoch": 0.36, + "learning_rate": 7.389472595546525e-06, + "loss": 0.8159, + "step": 5308 + }, + { + "epoch": 0.36, + "learning_rate": 7.3885046541471404e-06, + "loss": 0.7736, + "step": 5309 + }, + { + "epoch": 0.36, + "learning_rate": 7.387536596755108e-06, + "loss": 0.6695, + "step": 5310 + }, + { + "epoch": 0.36, + "learning_rate": 7.38656842341744e-06, + "loss": 0.738, + "step": 5311 + }, + { + "epoch": 0.36, + "learning_rate": 7.385600134181152e-06, + "loss": 0.888, + "step": 5312 + }, + { + "epoch": 0.36, + "learning_rate": 7.38463172909327e-06, + "loss": 0.7578, + "step": 5313 + }, + { + "epoch": 0.36, + "learning_rate": 7.383663208200819e-06, + "loss": 0.7984, + "step": 5314 + }, + { + "epoch": 0.36, + "learning_rate": 7.382694571550837e-06, + "loss": 0.8131, + "step": 5315 + }, + { + "epoch": 0.36, + "learning_rate": 7.3817258191903585e-06, + "loss": 0.6677, + "step": 5316 + }, + { + "epoch": 0.36, + "learning_rate": 7.380756951166433e-06, + "loss": 0.8868, + "step": 5317 + }, + { + "epoch": 0.36, + "learning_rate": 7.379787967526112e-06, + "loss": 0.7449, + "step": 5318 + }, + { + "epoch": 0.36, + "learning_rate": 7.378818868316449e-06, + "loss": 0.879, + "step": 5319 + }, + { + "epoch": 0.36, + "learning_rate": 7.377849653584508e-06, + "loss": 0.7284, + "step": 5320 + }, + { + "epoch": 0.36, + "learning_rate": 7.376880323377357e-06, + "loss": 0.7427, + "step": 5321 + }, + { + "epoch": 0.36, + "learning_rate": 7.37591087774207e-06, + "loss": 0.5801, + "step": 5322 + }, + { + "epoch": 0.36, + "learning_rate": 7.374941316725723e-06, + "loss": 0.6183, + "step": 5323 + }, + { + "epoch": 0.36, + "learning_rate": 7.373971640375405e-06, + "loss": 0.7775, + "step": 5324 + }, + { + "epoch": 0.36, + "learning_rate": 7.373001848738203e-06, + "loss": 0.5529, + "step": 5325 + }, + { + "epoch": 0.36, + "learning_rate": 7.3720319418612144e-06, + "loss": 0.6655, + "step": 5326 + }, + { + "epoch": 0.36, + "learning_rate": 7.37106191979154e-06, + "loss": 0.6176, + "step": 5327 + }, + { + "epoch": 0.36, + "learning_rate": 7.370091782576287e-06, + "loss": 0.7865, + "step": 5328 + }, + { + "epoch": 0.36, + "learning_rate": 7.3691215302625695e-06, + "loss": 0.8682, + "step": 5329 + }, + { + "epoch": 0.36, + "learning_rate": 7.368151162897502e-06, + "loss": 0.8259, + "step": 5330 + }, + { + "epoch": 0.36, + "learning_rate": 7.367180680528215e-06, + "loss": 0.8929, + "step": 5331 + }, + { + "epoch": 0.36, + "learning_rate": 7.36621008320183e-06, + "loss": 0.7981, + "step": 5332 + }, + { + "epoch": 0.36, + "learning_rate": 7.365239370965487e-06, + "loss": 0.9343, + "step": 5333 + }, + { + "epoch": 0.36, + "learning_rate": 7.364268543866324e-06, + "loss": 0.7801, + "step": 5334 + }, + { + "epoch": 0.36, + "learning_rate": 7.3632976019514894e-06, + "loss": 0.6579, + "step": 5335 + }, + { + "epoch": 0.36, + "learning_rate": 7.362326545268133e-06, + "loss": 0.7469, + "step": 5336 + }, + { + "epoch": 0.36, + "learning_rate": 7.361355373863415e-06, + "loss": 0.9505, + "step": 5337 + }, + { + "epoch": 0.36, + "learning_rate": 7.360384087784494e-06, + "loss": 0.8432, + "step": 5338 + }, + { + "epoch": 0.36, + "learning_rate": 7.359412687078543e-06, + "loss": 0.9171, + "step": 5339 + }, + { + "epoch": 0.36, + "learning_rate": 7.3584411717927315e-06, + "loss": 0.9326, + "step": 5340 + }, + { + "epoch": 0.36, + "learning_rate": 7.357469541974243e-06, + "loss": 0.6036, + "step": 5341 + }, + { + "epoch": 0.36, + "learning_rate": 7.3564977976702616e-06, + "loss": 0.5965, + "step": 5342 + }, + { + "epoch": 0.36, + "learning_rate": 7.355525938927975e-06, + "loss": 0.753, + "step": 5343 + }, + { + "epoch": 0.36, + "learning_rate": 7.354553965794582e-06, + "loss": 0.8029, + "step": 5344 + }, + { + "epoch": 0.36, + "learning_rate": 7.353581878317287e-06, + "loss": 0.7119, + "step": 5345 + }, + { + "epoch": 0.36, + "learning_rate": 7.352609676543292e-06, + "loss": 0.9489, + "step": 5346 + }, + { + "epoch": 0.36, + "learning_rate": 7.351637360519813e-06, + "loss": 1.0089, + "step": 5347 + }, + { + "epoch": 0.36, + "learning_rate": 7.350664930294068e-06, + "loss": 0.7757, + "step": 5348 + }, + { + "epoch": 0.36, + "learning_rate": 7.349692385913281e-06, + "loss": 0.9386, + "step": 5349 + }, + { + "epoch": 0.36, + "learning_rate": 7.3487197274246826e-06, + "loss": 0.6766, + "step": 5350 + }, + { + "epoch": 0.36, + "learning_rate": 7.347746954875506e-06, + "loss": 0.8188, + "step": 5351 + }, + { + "epoch": 0.36, + "learning_rate": 7.3467740683129914e-06, + "loss": 0.6351, + "step": 5352 + }, + { + "epoch": 0.36, + "learning_rate": 7.345801067784388e-06, + "loss": 0.9, + "step": 5353 + }, + { + "epoch": 0.36, + "learning_rate": 7.344827953336943e-06, + "loss": 0.9105, + "step": 5354 + }, + { + "epoch": 0.36, + "learning_rate": 7.343854725017919e-06, + "loss": 0.6483, + "step": 5355 + }, + { + "epoch": 0.36, + "learning_rate": 7.342881382874576e-06, + "loss": 0.8339, + "step": 5356 + }, + { + "epoch": 0.36, + "learning_rate": 7.341907926954182e-06, + "loss": 0.9455, + "step": 5357 + }, + { + "epoch": 0.36, + "learning_rate": 7.340934357304011e-06, + "loss": 0.6301, + "step": 5358 + }, + { + "epoch": 0.36, + "learning_rate": 7.339960673971343e-06, + "loss": 0.7224, + "step": 5359 + }, + { + "epoch": 0.36, + "learning_rate": 7.338986877003461e-06, + "loss": 0.7752, + "step": 5360 + }, + { + "epoch": 0.36, + "learning_rate": 7.3380129664476574e-06, + "loss": 0.7791, + "step": 5361 + }, + { + "epoch": 0.36, + "learning_rate": 7.3370389423512275e-06, + "loss": 0.9716, + "step": 5362 + }, + { + "epoch": 0.36, + "learning_rate": 7.336064804761474e-06, + "loss": 0.8674, + "step": 5363 + }, + { + "epoch": 0.36, + "learning_rate": 7.3350905537257e-06, + "loss": 0.891, + "step": 5364 + }, + { + "epoch": 0.37, + "learning_rate": 7.334116189291223e-06, + "loss": 0.7527, + "step": 5365 + }, + { + "epoch": 0.37, + "learning_rate": 7.333141711505357e-06, + "loss": 0.8598, + "step": 5366 + }, + { + "epoch": 0.37, + "learning_rate": 7.3321671204154265e-06, + "loss": 0.5176, + "step": 5367 + }, + { + "epoch": 0.37, + "learning_rate": 7.331192416068761e-06, + "loss": 0.5259, + "step": 5368 + }, + { + "epoch": 0.37, + "learning_rate": 7.330217598512696e-06, + "loss": 0.9429, + "step": 5369 + }, + { + "epoch": 0.37, + "learning_rate": 7.3292426677945685e-06, + "loss": 1.0362, + "step": 5370 + }, + { + "epoch": 0.37, + "learning_rate": 7.328267623961726e-06, + "loss": 0.8696, + "step": 5371 + }, + { + "epoch": 0.37, + "learning_rate": 7.327292467061518e-06, + "loss": 0.847, + "step": 5372 + }, + { + "epoch": 0.37, + "learning_rate": 7.326317197141304e-06, + "loss": 0.8204, + "step": 5373 + }, + { + "epoch": 0.37, + "learning_rate": 7.325341814248443e-06, + "loss": 0.7549, + "step": 5374 + }, + { + "epoch": 0.37, + "learning_rate": 7.324366318430302e-06, + "loss": 0.5314, + "step": 5375 + }, + { + "epoch": 0.37, + "learning_rate": 7.323390709734256e-06, + "loss": 0.9271, + "step": 5376 + }, + { + "epoch": 0.37, + "learning_rate": 7.322414988207683e-06, + "loss": 0.7426, + "step": 5377 + }, + { + "epoch": 0.37, + "learning_rate": 7.321439153897964e-06, + "loss": 0.7897, + "step": 5378 + }, + { + "epoch": 0.37, + "learning_rate": 7.320463206852493e-06, + "loss": 0.8769, + "step": 5379 + }, + { + "epoch": 0.37, + "learning_rate": 7.319487147118663e-06, + "loss": 0.9537, + "step": 5380 + }, + { + "epoch": 0.37, + "learning_rate": 7.3185109747438725e-06, + "loss": 0.5236, + "step": 5381 + }, + { + "epoch": 0.37, + "learning_rate": 7.317534689775527e-06, + "loss": 0.6465, + "step": 5382 + }, + { + "epoch": 0.37, + "learning_rate": 7.316558292261042e-06, + "loss": 0.5828, + "step": 5383 + }, + { + "epoch": 0.37, + "learning_rate": 7.315581782247829e-06, + "loss": 0.9466, + "step": 5384 + }, + { + "epoch": 0.37, + "learning_rate": 7.314605159783313e-06, + "loss": 0.9535, + "step": 5385 + }, + { + "epoch": 0.37, + "learning_rate": 7.313628424914921e-06, + "loss": 0.8773, + "step": 5386 + }, + { + "epoch": 0.37, + "learning_rate": 7.3126515776900865e-06, + "loss": 0.883, + "step": 5387 + }, + { + "epoch": 0.37, + "learning_rate": 7.311674618156248e-06, + "loss": 1.0235, + "step": 5388 + }, + { + "epoch": 0.37, + "learning_rate": 7.310697546360847e-06, + "loss": 0.6658, + "step": 5389 + }, + { + "epoch": 0.37, + "learning_rate": 7.309720362351337e-06, + "loss": 0.6457, + "step": 5390 + }, + { + "epoch": 0.37, + "learning_rate": 7.308743066175172e-06, + "loss": 1.0472, + "step": 5391 + }, + { + "epoch": 0.37, + "learning_rate": 7.307765657879807e-06, + "loss": 0.6232, + "step": 5392 + }, + { + "epoch": 0.37, + "learning_rate": 7.306788137512715e-06, + "loss": 0.6657, + "step": 5393 + }, + { + "epoch": 0.37, + "learning_rate": 7.305810505121363e-06, + "loss": 0.8355, + "step": 5394 + }, + { + "epoch": 0.37, + "learning_rate": 7.3048327607532285e-06, + "loss": 0.603, + "step": 5395 + }, + { + "epoch": 0.37, + "learning_rate": 7.303854904455794e-06, + "loss": 0.684, + "step": 5396 + }, + { + "epoch": 0.37, + "learning_rate": 7.302876936276547e-06, + "loss": 0.9129, + "step": 5397 + }, + { + "epoch": 0.37, + "learning_rate": 7.30189885626298e-06, + "loss": 0.9262, + "step": 5398 + }, + { + "epoch": 0.37, + "learning_rate": 7.300920664462592e-06, + "loss": 0.6969, + "step": 5399 + }, + { + "epoch": 0.37, + "learning_rate": 7.299942360922886e-06, + "loss": 0.6866, + "step": 5400 + }, + { + "epoch": 0.37, + "learning_rate": 7.298963945691371e-06, + "loss": 0.8327, + "step": 5401 + }, + { + "epoch": 0.37, + "learning_rate": 7.297985418815563e-06, + "loss": 0.4549, + "step": 5402 + }, + { + "epoch": 0.37, + "learning_rate": 7.297006780342981e-06, + "loss": 0.9233, + "step": 5403 + }, + { + "epoch": 0.37, + "learning_rate": 7.296028030321153e-06, + "loss": 0.9745, + "step": 5404 + }, + { + "epoch": 0.37, + "learning_rate": 7.295049168797605e-06, + "loss": 0.9553, + "step": 5405 + }, + { + "epoch": 0.37, + "learning_rate": 7.294070195819877e-06, + "loss": 0.9203, + "step": 5406 + }, + { + "epoch": 0.37, + "learning_rate": 7.293091111435511e-06, + "loss": 0.8199, + "step": 5407 + }, + { + "epoch": 0.37, + "learning_rate": 7.2921119156920515e-06, + "loss": 0.7719, + "step": 5408 + }, + { + "epoch": 0.37, + "learning_rate": 7.291132608637053e-06, + "loss": 0.7575, + "step": 5409 + }, + { + "epoch": 0.37, + "learning_rate": 7.290153190318073e-06, + "loss": 0.7557, + "step": 5410 + }, + { + "epoch": 0.37, + "learning_rate": 7.289173660782675e-06, + "loss": 0.7647, + "step": 5411 + }, + { + "epoch": 0.37, + "learning_rate": 7.2881940200784275e-06, + "loss": 0.5597, + "step": 5412 + }, + { + "epoch": 0.37, + "learning_rate": 7.2872142682529045e-06, + "loss": 0.7512, + "step": 5413 + }, + { + "epoch": 0.37, + "learning_rate": 7.286234405353686e-06, + "loss": 0.6164, + "step": 5414 + }, + { + "epoch": 0.37, + "learning_rate": 7.285254431428358e-06, + "loss": 0.752, + "step": 5415 + }, + { + "epoch": 0.37, + "learning_rate": 7.284274346524508e-06, + "loss": 0.7947, + "step": 5416 + }, + { + "epoch": 0.37, + "learning_rate": 7.283294150689735e-06, + "loss": 1.0104, + "step": 5417 + }, + { + "epoch": 0.37, + "learning_rate": 7.2823138439716375e-06, + "loss": 0.6581, + "step": 5418 + }, + { + "epoch": 0.37, + "learning_rate": 7.2813334264178235e-06, + "loss": 0.7574, + "step": 5419 + }, + { + "epoch": 0.37, + "learning_rate": 7.280352898075903e-06, + "loss": 0.7949, + "step": 5420 + }, + { + "epoch": 0.37, + "learning_rate": 7.279372258993498e-06, + "loss": 0.7898, + "step": 5421 + }, + { + "epoch": 0.37, + "learning_rate": 7.278391509218225e-06, + "loss": 0.8876, + "step": 5422 + }, + { + "epoch": 0.37, + "learning_rate": 7.277410648797716e-06, + "loss": 0.6746, + "step": 5423 + }, + { + "epoch": 0.37, + "learning_rate": 7.276429677779603e-06, + "loss": 0.5254, + "step": 5424 + }, + { + "epoch": 0.37, + "learning_rate": 7.275448596211525e-06, + "loss": 0.7366, + "step": 5425 + }, + { + "epoch": 0.37, + "learning_rate": 7.274467404141127e-06, + "loss": 0.8965, + "step": 5426 + }, + { + "epoch": 0.37, + "learning_rate": 7.273486101616057e-06, + "loss": 0.7016, + "step": 5427 + }, + { + "epoch": 0.37, + "learning_rate": 7.27250468868397e-06, + "loss": 1.0565, + "step": 5428 + }, + { + "epoch": 0.37, + "learning_rate": 7.271523165392529e-06, + "loss": 0.9096, + "step": 5429 + }, + { + "epoch": 0.37, + "learning_rate": 7.270541531789395e-06, + "loss": 0.9365, + "step": 5430 + }, + { + "epoch": 0.37, + "learning_rate": 7.2695597879222424e-06, + "loss": 0.6976, + "step": 5431 + }, + { + "epoch": 0.37, + "learning_rate": 7.268577933838748e-06, + "loss": 0.6766, + "step": 5432 + }, + { + "epoch": 0.37, + "learning_rate": 7.2675959695865896e-06, + "loss": 0.7793, + "step": 5433 + }, + { + "epoch": 0.37, + "learning_rate": 7.266613895213457e-06, + "loss": 0.5172, + "step": 5434 + }, + { + "epoch": 0.37, + "learning_rate": 7.265631710767041e-06, + "loss": 0.7606, + "step": 5435 + }, + { + "epoch": 0.37, + "learning_rate": 7.264649416295042e-06, + "loss": 0.8413, + "step": 5436 + }, + { + "epoch": 0.37, + "learning_rate": 7.263667011845161e-06, + "loss": 0.8326, + "step": 5437 + }, + { + "epoch": 0.37, + "learning_rate": 7.262684497465108e-06, + "loss": 0.9786, + "step": 5438 + }, + { + "epoch": 0.37, + "learning_rate": 7.261701873202595e-06, + "loss": 0.4989, + "step": 5439 + }, + { + "epoch": 0.37, + "learning_rate": 7.26071913910534e-06, + "loss": 0.951, + "step": 5440 + }, + { + "epoch": 0.37, + "learning_rate": 7.259736295221069e-06, + "loss": 0.681, + "step": 5441 + }, + { + "epoch": 0.37, + "learning_rate": 7.258753341597514e-06, + "loss": 0.7998, + "step": 5442 + }, + { + "epoch": 0.37, + "learning_rate": 7.257770278282407e-06, + "loss": 0.5767, + "step": 5443 + }, + { + "epoch": 0.37, + "learning_rate": 7.256787105323488e-06, + "loss": 0.7212, + "step": 5444 + }, + { + "epoch": 0.37, + "learning_rate": 7.255803822768504e-06, + "loss": 1.0152, + "step": 5445 + }, + { + "epoch": 0.37, + "learning_rate": 7.254820430665207e-06, + "loss": 1.0506, + "step": 5446 + }, + { + "epoch": 0.37, + "learning_rate": 7.253836929061351e-06, + "loss": 0.6489, + "step": 5447 + }, + { + "epoch": 0.37, + "learning_rate": 7.2528533180047e-06, + "loss": 0.8512, + "step": 5448 + }, + { + "epoch": 0.37, + "learning_rate": 7.251869597543019e-06, + "loss": 0.7495, + "step": 5449 + }, + { + "epoch": 0.37, + "learning_rate": 7.250885767724081e-06, + "loss": 0.7407, + "step": 5450 + }, + { + "epoch": 0.37, + "learning_rate": 7.249901828595663e-06, + "loss": 0.719, + "step": 5451 + }, + { + "epoch": 0.37, + "learning_rate": 7.24891778020555e-06, + "loss": 0.7768, + "step": 5452 + }, + { + "epoch": 0.37, + "learning_rate": 7.24793362260153e-06, + "loss": 0.7869, + "step": 5453 + }, + { + "epoch": 0.37, + "learning_rate": 7.246949355831392e-06, + "loss": 0.6365, + "step": 5454 + }, + { + "epoch": 0.37, + "learning_rate": 7.245964979942941e-06, + "loss": 0.7972, + "step": 5455 + }, + { + "epoch": 0.37, + "learning_rate": 7.244980494983978e-06, + "loss": 0.7694, + "step": 5456 + }, + { + "epoch": 0.37, + "learning_rate": 7.243995901002312e-06, + "loss": 0.9233, + "step": 5457 + }, + { + "epoch": 0.37, + "learning_rate": 7.2430111980457585e-06, + "loss": 0.8275, + "step": 5458 + }, + { + "epoch": 0.37, + "learning_rate": 7.2420263861621374e-06, + "loss": 0.8875, + "step": 5459 + }, + { + "epoch": 0.37, + "learning_rate": 7.241041465399274e-06, + "loss": 0.95, + "step": 5460 + }, + { + "epoch": 0.37, + "learning_rate": 7.240056435805e-06, + "loss": 0.5392, + "step": 5461 + }, + { + "epoch": 0.37, + "learning_rate": 7.23907129742715e-06, + "loss": 0.7429, + "step": 5462 + }, + { + "epoch": 0.37, + "learning_rate": 7.238086050313563e-06, + "loss": 0.7429, + "step": 5463 + }, + { + "epoch": 0.37, + "learning_rate": 7.237100694512089e-06, + "loss": 0.6238, + "step": 5464 + }, + { + "epoch": 0.37, + "learning_rate": 7.2361152300705795e-06, + "loss": 0.8386, + "step": 5465 + }, + { + "epoch": 0.37, + "learning_rate": 7.23512965703689e-06, + "loss": 0.9496, + "step": 5466 + }, + { + "epoch": 0.37, + "learning_rate": 7.234143975458885e-06, + "loss": 0.7176, + "step": 5467 + }, + { + "epoch": 0.37, + "learning_rate": 7.233158185384427e-06, + "loss": 0.8355, + "step": 5468 + }, + { + "epoch": 0.37, + "learning_rate": 7.232172286861394e-06, + "loss": 0.9296, + "step": 5469 + }, + { + "epoch": 0.37, + "learning_rate": 7.231186279937662e-06, + "loss": 0.7813, + "step": 5470 + }, + { + "epoch": 0.37, + "learning_rate": 7.230200164661114e-06, + "loss": 0.7454, + "step": 5471 + }, + { + "epoch": 0.37, + "learning_rate": 7.2292139410796395e-06, + "loss": 0.5454, + "step": 5472 + }, + { + "epoch": 0.37, + "learning_rate": 7.228227609241131e-06, + "loss": 0.8224, + "step": 5473 + }, + { + "epoch": 0.37, + "learning_rate": 7.227241169193488e-06, + "loss": 0.6484, + "step": 5474 + }, + { + "epoch": 0.37, + "learning_rate": 7.226254620984617e-06, + "loss": 0.6766, + "step": 5475 + }, + { + "epoch": 0.37, + "learning_rate": 7.225267964662426e-06, + "loss": 0.5836, + "step": 5476 + }, + { + "epoch": 0.37, + "learning_rate": 7.22428120027483e-06, + "loss": 0.876, + "step": 5477 + }, + { + "epoch": 0.37, + "learning_rate": 7.223294327869746e-06, + "loss": 0.8625, + "step": 5478 + }, + { + "epoch": 0.37, + "learning_rate": 7.222307347495106e-06, + "loss": 0.8508, + "step": 5479 + }, + { + "epoch": 0.37, + "learning_rate": 7.2213202591988364e-06, + "loss": 0.8246, + "step": 5480 + }, + { + "epoch": 0.37, + "learning_rate": 7.2203330630288714e-06, + "loss": 0.7535, + "step": 5481 + }, + { + "epoch": 0.37, + "learning_rate": 7.219345759033155e-06, + "loss": 0.6445, + "step": 5482 + }, + { + "epoch": 0.37, + "learning_rate": 7.218358347259634e-06, + "loss": 0.7223, + "step": 5483 + }, + { + "epoch": 0.37, + "learning_rate": 7.217370827756258e-06, + "loss": 0.8931, + "step": 5484 + }, + { + "epoch": 0.37, + "learning_rate": 7.216383200570984e-06, + "loss": 0.7915, + "step": 5485 + }, + { + "epoch": 0.37, + "learning_rate": 7.215395465751775e-06, + "loss": 0.7234, + "step": 5486 + }, + { + "epoch": 0.37, + "learning_rate": 7.2144076233465976e-06, + "loss": 0.5959, + "step": 5487 + }, + { + "epoch": 0.37, + "learning_rate": 7.213419673403425e-06, + "loss": 0.765, + "step": 5488 + }, + { + "epoch": 0.37, + "learning_rate": 7.212431615970234e-06, + "loss": 0.7959, + "step": 5489 + }, + { + "epoch": 0.37, + "learning_rate": 7.211443451095007e-06, + "loss": 0.8169, + "step": 5490 + }, + { + "epoch": 0.37, + "learning_rate": 7.210455178825735e-06, + "loss": 0.7505, + "step": 5491 + }, + { + "epoch": 0.37, + "learning_rate": 7.209466799210406e-06, + "loss": 0.8724, + "step": 5492 + }, + { + "epoch": 0.37, + "learning_rate": 7.208478312297024e-06, + "loss": 0.526, + "step": 5493 + }, + { + "epoch": 0.37, + "learning_rate": 7.207489718133591e-06, + "loss": 0.8337, + "step": 5494 + }, + { + "epoch": 0.37, + "learning_rate": 7.206501016768115e-06, + "loss": 0.9113, + "step": 5495 + }, + { + "epoch": 0.37, + "learning_rate": 7.205512208248611e-06, + "loss": 0.8704, + "step": 5496 + }, + { + "epoch": 0.37, + "learning_rate": 7.2045232926230965e-06, + "loss": 0.7511, + "step": 5497 + }, + { + "epoch": 0.37, + "learning_rate": 7.2035342699395995e-06, + "loss": 0.6532, + "step": 5498 + }, + { + "epoch": 0.37, + "learning_rate": 7.202545140246148e-06, + "loss": 0.974, + "step": 5499 + }, + { + "epoch": 0.37, + "learning_rate": 7.2015559035907754e-06, + "loss": 0.7113, + "step": 5500 + }, + { + "epoch": 0.37, + "learning_rate": 7.200566560021525e-06, + "loss": 0.6384, + "step": 5501 + }, + { + "epoch": 0.37, + "learning_rate": 7.199577109586439e-06, + "loss": 0.7695, + "step": 5502 + }, + { + "epoch": 0.37, + "learning_rate": 7.1985875523335715e-06, + "loss": 0.9244, + "step": 5503 + }, + { + "epoch": 0.37, + "learning_rate": 7.197597888310977e-06, + "loss": 0.6574, + "step": 5504 + }, + { + "epoch": 0.37, + "learning_rate": 7.196608117566714e-06, + "loss": 1.0465, + "step": 5505 + }, + { + "epoch": 0.37, + "learning_rate": 7.195618240148849e-06, + "loss": 0.7827, + "step": 5506 + }, + { + "epoch": 0.37, + "learning_rate": 7.194628256105457e-06, + "loss": 0.7585, + "step": 5507 + }, + { + "epoch": 0.37, + "learning_rate": 7.193638165484611e-06, + "loss": 0.7939, + "step": 5508 + }, + { + "epoch": 0.37, + "learning_rate": 7.192647968334394e-06, + "loss": 0.7166, + "step": 5509 + }, + { + "epoch": 0.37, + "learning_rate": 7.191657664702893e-06, + "loss": 0.767, + "step": 5510 + }, + { + "epoch": 0.37, + "learning_rate": 7.190667254638199e-06, + "loss": 0.638, + "step": 5511 + }, + { + "epoch": 0.38, + "learning_rate": 7.189676738188411e-06, + "loss": 0.707, + "step": 5512 + }, + { + "epoch": 0.38, + "learning_rate": 7.188686115401628e-06, + "loss": 0.716, + "step": 5513 + }, + { + "epoch": 0.38, + "learning_rate": 7.187695386325961e-06, + "loss": 0.6557, + "step": 5514 + }, + { + "epoch": 0.38, + "learning_rate": 7.186704551009521e-06, + "loss": 0.4424, + "step": 5515 + }, + { + "epoch": 0.38, + "learning_rate": 7.185713609500426e-06, + "loss": 0.8286, + "step": 5516 + }, + { + "epoch": 0.38, + "learning_rate": 7.1847225618467975e-06, + "loss": 0.8951, + "step": 5517 + }, + { + "epoch": 0.38, + "learning_rate": 7.1837314080967675e-06, + "loss": 0.6183, + "step": 5518 + }, + { + "epoch": 0.38, + "learning_rate": 7.182740148298466e-06, + "loss": 0.4976, + "step": 5519 + }, + { + "epoch": 0.38, + "learning_rate": 7.181748782500031e-06, + "loss": 0.5742, + "step": 5520 + }, + { + "epoch": 0.38, + "learning_rate": 7.180757310749608e-06, + "loss": 0.7531, + "step": 5521 + }, + { + "epoch": 0.38, + "learning_rate": 7.179765733095347e-06, + "loss": 1.0696, + "step": 5522 + }, + { + "epoch": 0.38, + "learning_rate": 7.178774049585397e-06, + "loss": 0.8344, + "step": 5523 + }, + { + "epoch": 0.38, + "learning_rate": 7.177782260267921e-06, + "loss": 0.5412, + "step": 5524 + }, + { + "epoch": 0.38, + "learning_rate": 7.176790365191083e-06, + "loss": 0.7987, + "step": 5525 + }, + { + "epoch": 0.38, + "learning_rate": 7.175798364403051e-06, + "loss": 0.762, + "step": 5526 + }, + { + "epoch": 0.38, + "learning_rate": 7.174806257951999e-06, + "loss": 0.7809, + "step": 5527 + }, + { + "epoch": 0.38, + "learning_rate": 7.173814045886107e-06, + "loss": 0.5229, + "step": 5528 + }, + { + "epoch": 0.38, + "learning_rate": 7.172821728253563e-06, + "loss": 0.7817, + "step": 5529 + }, + { + "epoch": 0.38, + "learning_rate": 7.17182930510255e-06, + "loss": 0.7407, + "step": 5530 + }, + { + "epoch": 0.38, + "learning_rate": 7.170836776481267e-06, + "loss": 0.8411, + "step": 5531 + }, + { + "epoch": 0.38, + "learning_rate": 7.169844142437916e-06, + "loss": 0.7207, + "step": 5532 + }, + { + "epoch": 0.38, + "learning_rate": 7.168851403020699e-06, + "loss": 0.6129, + "step": 5533 + }, + { + "epoch": 0.38, + "learning_rate": 7.167858558277827e-06, + "loss": 0.7963, + "step": 5534 + }, + { + "epoch": 0.38, + "learning_rate": 7.166865608257515e-06, + "loss": 1.0023, + "step": 5535 + }, + { + "epoch": 0.38, + "learning_rate": 7.165872553007984e-06, + "loss": 0.8115, + "step": 5536 + }, + { + "epoch": 0.38, + "learning_rate": 7.164879392577461e-06, + "loss": 0.6079, + "step": 5537 + }, + { + "epoch": 0.38, + "learning_rate": 7.1638861270141746e-06, + "loss": 0.7194, + "step": 5538 + }, + { + "epoch": 0.38, + "learning_rate": 7.1628927563663604e-06, + "loss": 0.7026, + "step": 5539 + }, + { + "epoch": 0.38, + "learning_rate": 7.161899280682262e-06, + "loss": 0.7743, + "step": 5540 + }, + { + "epoch": 0.38, + "learning_rate": 7.160905700010122e-06, + "loss": 0.8098, + "step": 5541 + }, + { + "epoch": 0.38, + "learning_rate": 7.159912014398196e-06, + "loss": 0.7263, + "step": 5542 + }, + { + "epoch": 0.38, + "learning_rate": 7.158918223894735e-06, + "loss": 0.7579, + "step": 5543 + }, + { + "epoch": 0.38, + "learning_rate": 7.157924328548003e-06, + "loss": 0.9133, + "step": 5544 + }, + { + "epoch": 0.38, + "learning_rate": 7.156930328406268e-06, + "loss": 0.682, + "step": 5545 + }, + { + "epoch": 0.38, + "learning_rate": 7.155936223517799e-06, + "loss": 0.7309, + "step": 5546 + }, + { + "epoch": 0.38, + "learning_rate": 7.154942013930874e-06, + "loss": 0.8474, + "step": 5547 + }, + { + "epoch": 0.38, + "learning_rate": 7.153947699693773e-06, + "loss": 0.8081, + "step": 5548 + }, + { + "epoch": 0.38, + "learning_rate": 7.152953280854784e-06, + "loss": 0.9666, + "step": 5549 + }, + { + "epoch": 0.38, + "learning_rate": 7.1519587574621984e-06, + "loss": 1.0325, + "step": 5550 + }, + { + "epoch": 0.38, + "learning_rate": 7.1509641295643124e-06, + "loss": 0.7126, + "step": 5551 + }, + { + "epoch": 0.38, + "learning_rate": 7.149969397209431e-06, + "loss": 0.655, + "step": 5552 + }, + { + "epoch": 0.38, + "learning_rate": 7.148974560445859e-06, + "loss": 0.9218, + "step": 5553 + }, + { + "epoch": 0.38, + "learning_rate": 7.147979619321907e-06, + "loss": 0.5137, + "step": 5554 + }, + { + "epoch": 0.38, + "learning_rate": 7.146984573885896e-06, + "loss": 0.9172, + "step": 5555 + }, + { + "epoch": 0.38, + "learning_rate": 7.145989424186146e-06, + "loss": 0.8883, + "step": 5556 + }, + { + "epoch": 0.38, + "learning_rate": 7.144994170270984e-06, + "loss": 1.1378, + "step": 5557 + }, + { + "epoch": 0.38, + "learning_rate": 7.143998812188742e-06, + "loss": 0.7213, + "step": 5558 + }, + { + "epoch": 0.38, + "learning_rate": 7.143003349987759e-06, + "loss": 0.7716, + "step": 5559 + }, + { + "epoch": 0.38, + "learning_rate": 7.142007783716377e-06, + "loss": 0.637, + "step": 5560 + }, + { + "epoch": 0.38, + "learning_rate": 7.141012113422942e-06, + "loss": 0.8033, + "step": 5561 + }, + { + "epoch": 0.38, + "learning_rate": 7.140016339155811e-06, + "loss": 0.5275, + "step": 5562 + }, + { + "epoch": 0.38, + "learning_rate": 7.139020460963337e-06, + "loss": 0.83, + "step": 5563 + }, + { + "epoch": 0.38, + "learning_rate": 7.138024478893883e-06, + "loss": 0.8522, + "step": 5564 + }, + { + "epoch": 0.38, + "learning_rate": 7.13702839299582e-06, + "loss": 0.663, + "step": 5565 + }, + { + "epoch": 0.38, + "learning_rate": 7.136032203317519e-06, + "loss": 0.9459, + "step": 5566 + }, + { + "epoch": 0.38, + "learning_rate": 7.135035909907359e-06, + "loss": 0.722, + "step": 5567 + }, + { + "epoch": 0.38, + "learning_rate": 7.134039512813718e-06, + "loss": 0.5763, + "step": 5568 + }, + { + "epoch": 0.38, + "learning_rate": 7.13304301208499e-06, + "loss": 0.5286, + "step": 5569 + }, + { + "epoch": 0.38, + "learning_rate": 7.132046407769566e-06, + "loss": 0.4752, + "step": 5570 + }, + { + "epoch": 0.38, + "learning_rate": 7.131049699915842e-06, + "loss": 0.8899, + "step": 5571 + }, + { + "epoch": 0.38, + "learning_rate": 7.130052888572223e-06, + "loss": 0.6851, + "step": 5572 + }, + { + "epoch": 0.38, + "learning_rate": 7.129055973787117e-06, + "loss": 0.5153, + "step": 5573 + }, + { + "epoch": 0.38, + "learning_rate": 7.128058955608935e-06, + "loss": 0.7945, + "step": 5574 + }, + { + "epoch": 0.38, + "learning_rate": 7.127061834086098e-06, + "loss": 0.6885, + "step": 5575 + }, + { + "epoch": 0.38, + "learning_rate": 7.126064609267027e-06, + "loss": 0.7755, + "step": 5576 + }, + { + "epoch": 0.38, + "learning_rate": 7.1250672812001505e-06, + "loss": 0.998, + "step": 5577 + }, + { + "epoch": 0.38, + "learning_rate": 7.124069849933903e-06, + "loss": 0.8445, + "step": 5578 + }, + { + "epoch": 0.38, + "learning_rate": 7.123072315516721e-06, + "loss": 0.9596, + "step": 5579 + }, + { + "epoch": 0.38, + "learning_rate": 7.122074677997049e-06, + "loss": 0.8682, + "step": 5580 + }, + { + "epoch": 0.38, + "learning_rate": 7.121076937423333e-06, + "loss": 0.7559, + "step": 5581 + }, + { + "epoch": 0.38, + "learning_rate": 7.120079093844027e-06, + "loss": 0.8136, + "step": 5582 + }, + { + "epoch": 0.38, + "learning_rate": 7.119081147307591e-06, + "loss": 0.5982, + "step": 5583 + }, + { + "epoch": 0.38, + "learning_rate": 7.118083097862486e-06, + "loss": 0.7922, + "step": 5584 + }, + { + "epoch": 0.38, + "learning_rate": 7.117084945557181e-06, + "loss": 0.7591, + "step": 5585 + }, + { + "epoch": 0.38, + "learning_rate": 7.116086690440149e-06, + "loss": 0.7917, + "step": 5586 + }, + { + "epoch": 0.38, + "learning_rate": 7.115088332559869e-06, + "loss": 0.9682, + "step": 5587 + }, + { + "epoch": 0.38, + "learning_rate": 7.114089871964822e-06, + "loss": 0.6429, + "step": 5588 + }, + { + "epoch": 0.38, + "learning_rate": 7.113091308703498e-06, + "loss": 0.9699, + "step": 5589 + }, + { + "epoch": 0.38, + "learning_rate": 7.112092642824389e-06, + "loss": 0.7264, + "step": 5590 + }, + { + "epoch": 0.38, + "learning_rate": 7.111093874375995e-06, + "loss": 0.4906, + "step": 5591 + }, + { + "epoch": 0.38, + "learning_rate": 7.110095003406816e-06, + "loss": 0.7293, + "step": 5592 + }, + { + "epoch": 0.38, + "learning_rate": 7.109096029965362e-06, + "loss": 0.5135, + "step": 5593 + }, + { + "epoch": 0.38, + "learning_rate": 7.108096954100148e-06, + "loss": 1.0169, + "step": 5594 + }, + { + "epoch": 0.38, + "learning_rate": 7.107097775859688e-06, + "loss": 0.5231, + "step": 5595 + }, + { + "epoch": 0.38, + "learning_rate": 7.106098495292505e-06, + "loss": 0.7042, + "step": 5596 + }, + { + "epoch": 0.38, + "learning_rate": 7.105099112447131e-06, + "loss": 0.5249, + "step": 5597 + }, + { + "epoch": 0.38, + "learning_rate": 7.104099627372096e-06, + "loss": 1.0051, + "step": 5598 + }, + { + "epoch": 0.38, + "learning_rate": 7.103100040115939e-06, + "loss": 0.6337, + "step": 5599 + }, + { + "epoch": 0.38, + "learning_rate": 7.1021003507272014e-06, + "loss": 0.8528, + "step": 5600 + }, + { + "epoch": 0.38, + "learning_rate": 7.1011005592544314e-06, + "loss": 0.7691, + "step": 5601 + }, + { + "epoch": 0.38, + "learning_rate": 7.100100665746184e-06, + "loss": 0.8201, + "step": 5602 + }, + { + "epoch": 0.38, + "learning_rate": 7.099100670251013e-06, + "loss": 0.8073, + "step": 5603 + }, + { + "epoch": 0.38, + "learning_rate": 7.098100572817483e-06, + "loss": 0.6972, + "step": 5604 + }, + { + "epoch": 0.38, + "learning_rate": 7.097100373494164e-06, + "loss": 0.9096, + "step": 5605 + }, + { + "epoch": 0.38, + "learning_rate": 7.096100072329624e-06, + "loss": 0.7138, + "step": 5606 + }, + { + "epoch": 0.38, + "learning_rate": 7.095099669372444e-06, + "loss": 0.971, + "step": 5607 + }, + { + "epoch": 0.38, + "learning_rate": 7.0940991646712045e-06, + "loss": 0.9725, + "step": 5608 + }, + { + "epoch": 0.38, + "learning_rate": 7.093098558274494e-06, + "loss": 0.9486, + "step": 5609 + }, + { + "epoch": 0.38, + "learning_rate": 7.0920978502309044e-06, + "loss": 0.7696, + "step": 5610 + }, + { + "epoch": 0.38, + "learning_rate": 7.091097040589033e-06, + "loss": 0.9972, + "step": 5611 + }, + { + "epoch": 0.38, + "learning_rate": 7.090096129397481e-06, + "loss": 0.6616, + "step": 5612 + }, + { + "epoch": 0.38, + "learning_rate": 7.0890951167048586e-06, + "loss": 0.6766, + "step": 5613 + }, + { + "epoch": 0.38, + "learning_rate": 7.088094002559774e-06, + "loss": 0.8036, + "step": 5614 + }, + { + "epoch": 0.38, + "learning_rate": 7.087092787010847e-06, + "loss": 0.6419, + "step": 5615 + }, + { + "epoch": 0.38, + "learning_rate": 7.086091470106698e-06, + "loss": 0.8037, + "step": 5616 + }, + { + "epoch": 0.38, + "learning_rate": 7.085090051895953e-06, + "loss": 0.8162, + "step": 5617 + }, + { + "epoch": 0.38, + "learning_rate": 7.084088532427247e-06, + "loss": 0.7132, + "step": 5618 + }, + { + "epoch": 0.38, + "learning_rate": 7.083086911749214e-06, + "loss": 0.7968, + "step": 5619 + }, + { + "epoch": 0.38, + "learning_rate": 7.082085189910495e-06, + "loss": 0.7363, + "step": 5620 + }, + { + "epoch": 0.38, + "learning_rate": 7.081083366959739e-06, + "loss": 0.7848, + "step": 5621 + }, + { + "epoch": 0.38, + "learning_rate": 7.080081442945597e-06, + "loss": 0.5991, + "step": 5622 + }, + { + "epoch": 0.38, + "learning_rate": 7.0790794179167225e-06, + "loss": 0.5167, + "step": 5623 + }, + { + "epoch": 0.38, + "learning_rate": 7.0780772919217785e-06, + "loss": 0.7522, + "step": 5624 + }, + { + "epoch": 0.38, + "learning_rate": 7.0770750650094335e-06, + "loss": 0.7209, + "step": 5625 + }, + { + "epoch": 0.38, + "learning_rate": 7.076072737228355e-06, + "loss": 0.8779, + "step": 5626 + }, + { + "epoch": 0.38, + "learning_rate": 7.075070308627219e-06, + "loss": 0.7344, + "step": 5627 + }, + { + "epoch": 0.38, + "learning_rate": 7.0740677792547094e-06, + "loss": 0.8314, + "step": 5628 + }, + { + "epoch": 0.38, + "learning_rate": 7.0730651491595105e-06, + "loss": 0.5215, + "step": 5629 + }, + { + "epoch": 0.38, + "learning_rate": 7.07206241839031e-06, + "loss": 0.7076, + "step": 5630 + }, + { + "epoch": 0.38, + "learning_rate": 7.071059586995806e-06, + "loss": 0.8573, + "step": 5631 + }, + { + "epoch": 0.38, + "learning_rate": 7.0700566550247015e-06, + "loss": 0.578, + "step": 5632 + }, + { + "epoch": 0.38, + "learning_rate": 7.069053622525697e-06, + "loss": 0.8622, + "step": 5633 + }, + { + "epoch": 0.38, + "learning_rate": 7.068050489547505e-06, + "loss": 0.6866, + "step": 5634 + }, + { + "epoch": 0.38, + "learning_rate": 7.0670472561388395e-06, + "loss": 0.7551, + "step": 5635 + }, + { + "epoch": 0.38, + "learning_rate": 7.0660439223484216e-06, + "loss": 0.774, + "step": 5636 + }, + { + "epoch": 0.38, + "learning_rate": 7.065040488224975e-06, + "loss": 0.8063, + "step": 5637 + }, + { + "epoch": 0.38, + "learning_rate": 7.064036953817229e-06, + "loss": 0.8358, + "step": 5638 + }, + { + "epoch": 0.38, + "learning_rate": 7.06303331917392e-06, + "loss": 0.6347, + "step": 5639 + }, + { + "epoch": 0.38, + "learning_rate": 7.062029584343788e-06, + "loss": 0.7806, + "step": 5640 + }, + { + "epoch": 0.38, + "learning_rate": 7.061025749375572e-06, + "loss": 0.6514, + "step": 5641 + }, + { + "epoch": 0.38, + "learning_rate": 7.060021814318027e-06, + "loss": 0.6447, + "step": 5642 + }, + { + "epoch": 0.38, + "learning_rate": 7.059017779219904e-06, + "loss": 1.0316, + "step": 5643 + }, + { + "epoch": 0.38, + "learning_rate": 7.058013644129962e-06, + "loss": 0.9775, + "step": 5644 + }, + { + "epoch": 0.38, + "learning_rate": 7.057009409096967e-06, + "loss": 0.852, + "step": 5645 + }, + { + "epoch": 0.38, + "learning_rate": 7.056005074169684e-06, + "loss": 0.755, + "step": 5646 + }, + { + "epoch": 0.38, + "learning_rate": 7.055000639396888e-06, + "loss": 1.0529, + "step": 5647 + }, + { + "epoch": 0.38, + "learning_rate": 7.053996104827357e-06, + "loss": 0.8116, + "step": 5648 + }, + { + "epoch": 0.38, + "learning_rate": 7.0529914705098755e-06, + "loss": 0.8806, + "step": 5649 + }, + { + "epoch": 0.38, + "learning_rate": 7.05198673649323e-06, + "loss": 0.7855, + "step": 5650 + }, + { + "epoch": 0.38, + "learning_rate": 7.050981902826214e-06, + "loss": 0.6813, + "step": 5651 + }, + { + "epoch": 0.38, + "learning_rate": 7.049976969557624e-06, + "loss": 0.5125, + "step": 5652 + }, + { + "epoch": 0.38, + "learning_rate": 7.048971936736264e-06, + "loss": 0.6173, + "step": 5653 + }, + { + "epoch": 0.38, + "learning_rate": 7.0479668044109384e-06, + "loss": 0.9732, + "step": 5654 + }, + { + "epoch": 0.38, + "learning_rate": 7.046961572630463e-06, + "loss": 0.7608, + "step": 5655 + }, + { + "epoch": 0.38, + "learning_rate": 7.045956241443655e-06, + "loss": 0.6953, + "step": 5656 + }, + { + "epoch": 0.38, + "learning_rate": 7.044950810899332e-06, + "loss": 0.505, + "step": 5657 + }, + { + "epoch": 0.38, + "learning_rate": 7.043945281046321e-06, + "loss": 0.69, + "step": 5658 + }, + { + "epoch": 0.39, + "learning_rate": 7.042939651933458e-06, + "loss": 0.7959, + "step": 5659 + }, + { + "epoch": 0.39, + "learning_rate": 7.0419339236095755e-06, + "loss": 0.7426, + "step": 5660 + }, + { + "epoch": 0.39, + "learning_rate": 7.040928096123516e-06, + "loss": 0.7771, + "step": 5661 + }, + { + "epoch": 0.39, + "learning_rate": 7.039922169524125e-06, + "loss": 0.6849, + "step": 5662 + }, + { + "epoch": 0.39, + "learning_rate": 7.038916143860251e-06, + "loss": 0.806, + "step": 5663 + }, + { + "epoch": 0.39, + "learning_rate": 7.037910019180756e-06, + "loss": 0.5928, + "step": 5664 + }, + { + "epoch": 0.39, + "learning_rate": 7.036903795534491e-06, + "loss": 0.667, + "step": 5665 + }, + { + "epoch": 0.39, + "learning_rate": 7.035897472970329e-06, + "loss": 1.0036, + "step": 5666 + }, + { + "epoch": 0.39, + "learning_rate": 7.0348910515371375e-06, + "loss": 0.8126, + "step": 5667 + }, + { + "epoch": 0.39, + "learning_rate": 7.033884531283788e-06, + "loss": 0.91, + "step": 5668 + }, + { + "epoch": 0.39, + "learning_rate": 7.032877912259164e-06, + "loss": 0.7083, + "step": 5669 + }, + { + "epoch": 0.39, + "learning_rate": 7.03187119451215e-06, + "loss": 0.6174, + "step": 5670 + }, + { + "epoch": 0.39, + "learning_rate": 7.030864378091632e-06, + "loss": 0.6109, + "step": 5671 + }, + { + "epoch": 0.39, + "learning_rate": 7.029857463046505e-06, + "loss": 0.6466, + "step": 5672 + }, + { + "epoch": 0.39, + "learning_rate": 7.02885044942567e-06, + "loss": 0.7437, + "step": 5673 + }, + { + "epoch": 0.39, + "learning_rate": 7.027843337278027e-06, + "loss": 0.8889, + "step": 5674 + }, + { + "epoch": 0.39, + "learning_rate": 7.026836126652487e-06, + "loss": 0.6555, + "step": 5675 + }, + { + "epoch": 0.39, + "learning_rate": 7.025828817597962e-06, + "loss": 0.5796, + "step": 5676 + }, + { + "epoch": 0.39, + "learning_rate": 7.0248214101633685e-06, + "loss": 0.6996, + "step": 5677 + }, + { + "epoch": 0.39, + "learning_rate": 7.023813904397632e-06, + "loss": 0.6122, + "step": 5678 + }, + { + "epoch": 0.39, + "learning_rate": 7.022806300349676e-06, + "loss": 0.7593, + "step": 5679 + }, + { + "epoch": 0.39, + "learning_rate": 7.0217985980684365e-06, + "loss": 0.6161, + "step": 5680 + }, + { + "epoch": 0.39, + "learning_rate": 7.02079079760285e-06, + "loss": 0.8193, + "step": 5681 + }, + { + "epoch": 0.39, + "learning_rate": 7.019782899001855e-06, + "loss": 0.7412, + "step": 5682 + }, + { + "epoch": 0.39, + "learning_rate": 7.0187749023144e-06, + "loss": 0.7818, + "step": 5683 + }, + { + "epoch": 0.39, + "learning_rate": 7.017766807589438e-06, + "loss": 1.0237, + "step": 5684 + }, + { + "epoch": 0.39, + "learning_rate": 7.016758614875921e-06, + "loss": 0.7794, + "step": 5685 + }, + { + "epoch": 0.39, + "learning_rate": 7.015750324222813e-06, + "loss": 0.7465, + "step": 5686 + }, + { + "epoch": 0.39, + "learning_rate": 7.014741935679078e-06, + "loss": 0.7046, + "step": 5687 + }, + { + "epoch": 0.39, + "learning_rate": 7.0137334492936875e-06, + "loss": 0.6269, + "step": 5688 + }, + { + "epoch": 0.39, + "learning_rate": 7.012724865115615e-06, + "loss": 0.5542, + "step": 5689 + }, + { + "epoch": 0.39, + "learning_rate": 7.011716183193839e-06, + "loss": 0.6245, + "step": 5690 + }, + { + "epoch": 0.39, + "learning_rate": 7.010707403577349e-06, + "loss": 0.7819, + "step": 5691 + }, + { + "epoch": 0.39, + "learning_rate": 7.009698526315129e-06, + "loss": 0.8296, + "step": 5692 + }, + { + "epoch": 0.39, + "learning_rate": 7.008689551456176e-06, + "loss": 0.7504, + "step": 5693 + }, + { + "epoch": 0.39, + "learning_rate": 7.007680479049488e-06, + "loss": 0.8533, + "step": 5694 + }, + { + "epoch": 0.39, + "learning_rate": 7.006671309144068e-06, + "loss": 0.552, + "step": 5695 + }, + { + "epoch": 0.39, + "learning_rate": 7.0056620417889235e-06, + "loss": 0.7719, + "step": 5696 + }, + { + "epoch": 0.39, + "learning_rate": 7.004652677033069e-06, + "loss": 0.8918, + "step": 5697 + }, + { + "epoch": 0.39, + "learning_rate": 7.003643214925522e-06, + "loss": 0.7127, + "step": 5698 + }, + { + "epoch": 0.39, + "learning_rate": 7.002633655515304e-06, + "loss": 0.9576, + "step": 5699 + }, + { + "epoch": 0.39, + "learning_rate": 7.001623998851443e-06, + "loss": 0.5795, + "step": 5700 + }, + { + "epoch": 0.39, + "learning_rate": 7.000614244982968e-06, + "loss": 0.7676, + "step": 5701 + }, + { + "epoch": 0.39, + "learning_rate": 6.999604393958921e-06, + "loss": 0.6837, + "step": 5702 + }, + { + "epoch": 0.39, + "learning_rate": 6.9985944458283375e-06, + "loss": 0.7683, + "step": 5703 + }, + { + "epoch": 0.39, + "learning_rate": 6.997584400640267e-06, + "loss": 0.6483, + "step": 5704 + }, + { + "epoch": 0.39, + "learning_rate": 6.996574258443761e-06, + "loss": 0.8177, + "step": 5705 + }, + { + "epoch": 0.39, + "learning_rate": 6.9955640192878705e-06, + "loss": 0.8513, + "step": 5706 + }, + { + "epoch": 0.39, + "learning_rate": 6.99455368322166e-06, + "loss": 0.7115, + "step": 5707 + }, + { + "epoch": 0.39, + "learning_rate": 6.993543250294193e-06, + "loss": 0.6829, + "step": 5708 + }, + { + "epoch": 0.39, + "learning_rate": 6.992532720554538e-06, + "loss": 0.601, + "step": 5709 + }, + { + "epoch": 0.39, + "learning_rate": 6.9915220940517704e-06, + "loss": 0.7403, + "step": 5710 + }, + { + "epoch": 0.39, + "learning_rate": 6.9905113708349684e-06, + "loss": 0.8805, + "step": 5711 + }, + { + "epoch": 0.39, + "learning_rate": 6.989500550953215e-06, + "loss": 0.8616, + "step": 5712 + }, + { + "epoch": 0.39, + "learning_rate": 6.9884896344556e-06, + "loss": 0.5452, + "step": 5713 + }, + { + "epoch": 0.39, + "learning_rate": 6.987478621391215e-06, + "loss": 0.6798, + "step": 5714 + }, + { + "epoch": 0.39, + "learning_rate": 6.98646751180916e-06, + "loss": 0.7608, + "step": 5715 + }, + { + "epoch": 0.39, + "learning_rate": 6.9854563057585354e-06, + "loss": 0.7277, + "step": 5716 + }, + { + "epoch": 0.39, + "learning_rate": 6.984445003288447e-06, + "loss": 0.7658, + "step": 5717 + }, + { + "epoch": 0.39, + "learning_rate": 6.983433604448011e-06, + "loss": 0.9222, + "step": 5718 + }, + { + "epoch": 0.39, + "learning_rate": 6.982422109286339e-06, + "loss": 0.6615, + "step": 5719 + }, + { + "epoch": 0.39, + "learning_rate": 6.9814105178525545e-06, + "loss": 0.6654, + "step": 5720 + }, + { + "epoch": 0.39, + "learning_rate": 6.980398830195785e-06, + "loss": 0.7109, + "step": 5721 + }, + { + "epoch": 0.39, + "learning_rate": 6.979387046365158e-06, + "loss": 0.7814, + "step": 5722 + }, + { + "epoch": 0.39, + "learning_rate": 6.978375166409809e-06, + "loss": 0.7318, + "step": 5723 + }, + { + "epoch": 0.39, + "learning_rate": 6.977363190378879e-06, + "loss": 0.7319, + "step": 5724 + }, + { + "epoch": 0.39, + "learning_rate": 6.9763511183215106e-06, + "loss": 0.917, + "step": 5725 + }, + { + "epoch": 0.39, + "learning_rate": 6.975338950286855e-06, + "loss": 0.6416, + "step": 5726 + }, + { + "epoch": 0.39, + "learning_rate": 6.974326686324065e-06, + "loss": 0.7774, + "step": 5727 + }, + { + "epoch": 0.39, + "learning_rate": 6.9733143264823e-06, + "loss": 0.886, + "step": 5728 + }, + { + "epoch": 0.39, + "learning_rate": 6.972301870810723e-06, + "loss": 0.7492, + "step": 5729 + }, + { + "epoch": 0.39, + "learning_rate": 6.971289319358499e-06, + "loss": 0.9448, + "step": 5730 + }, + { + "epoch": 0.39, + "learning_rate": 6.970276672174803e-06, + "loss": 0.5287, + "step": 5731 + }, + { + "epoch": 0.39, + "learning_rate": 6.969263929308812e-06, + "loss": 0.6129, + "step": 5732 + }, + { + "epoch": 0.39, + "learning_rate": 6.968251090809708e-06, + "loss": 0.9173, + "step": 5733 + }, + { + "epoch": 0.39, + "learning_rate": 6.9672381567266745e-06, + "loss": 0.8056, + "step": 5734 + }, + { + "epoch": 0.39, + "learning_rate": 6.966225127108907e-06, + "loss": 0.9769, + "step": 5735 + }, + { + "epoch": 0.39, + "learning_rate": 6.965212002005597e-06, + "loss": 0.7537, + "step": 5736 + }, + { + "epoch": 0.39, + "learning_rate": 6.964198781465948e-06, + "loss": 0.6218, + "step": 5737 + }, + { + "epoch": 0.39, + "learning_rate": 6.963185465539162e-06, + "loss": 0.8795, + "step": 5738 + }, + { + "epoch": 0.39, + "learning_rate": 6.962172054274449e-06, + "loss": 0.8531, + "step": 5739 + }, + { + "epoch": 0.39, + "learning_rate": 6.9611585477210275e-06, + "loss": 0.8556, + "step": 5740 + }, + { + "epoch": 0.39, + "learning_rate": 6.9601449459281105e-06, + "loss": 0.7014, + "step": 5741 + }, + { + "epoch": 0.39, + "learning_rate": 6.9591312489449235e-06, + "loss": 0.7976, + "step": 5742 + }, + { + "epoch": 0.39, + "learning_rate": 6.958117456820696e-06, + "loss": 0.9865, + "step": 5743 + }, + { + "epoch": 0.39, + "learning_rate": 6.957103569604658e-06, + "loss": 0.6337, + "step": 5744 + }, + { + "epoch": 0.39, + "learning_rate": 6.95608958734605e-06, + "loss": 0.6145, + "step": 5745 + }, + { + "epoch": 0.39, + "learning_rate": 6.955075510094111e-06, + "loss": 0.9001, + "step": 5746 + }, + { + "epoch": 0.39, + "learning_rate": 6.95406133789809e-06, + "loss": 0.664, + "step": 5747 + }, + { + "epoch": 0.39, + "learning_rate": 6.953047070807235e-06, + "loss": 0.6769, + "step": 5748 + }, + { + "epoch": 0.39, + "learning_rate": 6.952032708870805e-06, + "loss": 0.9315, + "step": 5749 + }, + { + "epoch": 0.39, + "learning_rate": 6.951018252138058e-06, + "loss": 0.6619, + "step": 5750 + }, + { + "epoch": 0.39, + "learning_rate": 6.95000370065826e-06, + "loss": 0.7644, + "step": 5751 + }, + { + "epoch": 0.39, + "learning_rate": 6.9489890544806795e-06, + "loss": 0.4206, + "step": 5752 + }, + { + "epoch": 0.39, + "learning_rate": 6.947974313654592e-06, + "loss": 0.6787, + "step": 5753 + }, + { + "epoch": 0.39, + "learning_rate": 6.946959478229277e-06, + "loss": 0.7648, + "step": 5754 + }, + { + "epoch": 0.39, + "learning_rate": 6.945944548254013e-06, + "loss": 0.7168, + "step": 5755 + }, + { + "epoch": 0.39, + "learning_rate": 6.944929523778095e-06, + "loss": 0.793, + "step": 5756 + }, + { + "epoch": 0.39, + "learning_rate": 6.943914404850811e-06, + "loss": 0.8922, + "step": 5757 + }, + { + "epoch": 0.39, + "learning_rate": 6.942899191521457e-06, + "loss": 0.795, + "step": 5758 + }, + { + "epoch": 0.39, + "learning_rate": 6.94188388383934e-06, + "loss": 1.0378, + "step": 5759 + }, + { + "epoch": 0.39, + "learning_rate": 6.9408684818537595e-06, + "loss": 0.8588, + "step": 5760 + }, + { + "epoch": 0.39, + "learning_rate": 6.939852985614031e-06, + "loss": 0.689, + "step": 5761 + }, + { + "epoch": 0.39, + "learning_rate": 6.93883739516947e-06, + "loss": 0.5797, + "step": 5762 + }, + { + "epoch": 0.39, + "learning_rate": 6.937821710569394e-06, + "loss": 0.9819, + "step": 5763 + }, + { + "epoch": 0.39, + "learning_rate": 6.93680593186313e-06, + "loss": 0.6931, + "step": 5764 + }, + { + "epoch": 0.39, + "learning_rate": 6.9357900591000034e-06, + "loss": 0.8021, + "step": 5765 + }, + { + "epoch": 0.39, + "learning_rate": 6.9347740923293515e-06, + "loss": 0.8569, + "step": 5766 + }, + { + "epoch": 0.39, + "learning_rate": 6.933758031600513e-06, + "loss": 0.7555, + "step": 5767 + }, + { + "epoch": 0.39, + "learning_rate": 6.932741876962826e-06, + "loss": 0.9399, + "step": 5768 + }, + { + "epoch": 0.39, + "learning_rate": 6.931725628465643e-06, + "loss": 0.8515, + "step": 5769 + }, + { + "epoch": 0.39, + "learning_rate": 6.930709286158315e-06, + "loss": 0.732, + "step": 5770 + }, + { + "epoch": 0.39, + "learning_rate": 6.929692850090196e-06, + "loss": 0.7297, + "step": 5771 + }, + { + "epoch": 0.39, + "learning_rate": 6.9286763203106475e-06, + "loss": 0.7242, + "step": 5772 + }, + { + "epoch": 0.39, + "learning_rate": 6.927659696869039e-06, + "loss": 1.034, + "step": 5773 + }, + { + "epoch": 0.39, + "learning_rate": 6.9266429798147365e-06, + "loss": 0.5717, + "step": 5774 + }, + { + "epoch": 0.39, + "learning_rate": 6.925626169197115e-06, + "loss": 0.6302, + "step": 5775 + }, + { + "epoch": 0.39, + "learning_rate": 6.924609265065556e-06, + "loss": 0.9304, + "step": 5776 + }, + { + "epoch": 0.39, + "learning_rate": 6.923592267469441e-06, + "loss": 0.5999, + "step": 5777 + }, + { + "epoch": 0.39, + "learning_rate": 6.922575176458162e-06, + "loss": 0.7628, + "step": 5778 + }, + { + "epoch": 0.39, + "learning_rate": 6.921557992081105e-06, + "loss": 0.7865, + "step": 5779 + }, + { + "epoch": 0.39, + "learning_rate": 6.920540714387674e-06, + "loss": 0.688, + "step": 5780 + }, + { + "epoch": 0.39, + "learning_rate": 6.919523343427269e-06, + "loss": 0.6978, + "step": 5781 + }, + { + "epoch": 0.39, + "learning_rate": 6.918505879249294e-06, + "loss": 0.8418, + "step": 5782 + }, + { + "epoch": 0.39, + "learning_rate": 6.9174883219031655e-06, + "loss": 0.7593, + "step": 5783 + }, + { + "epoch": 0.39, + "learning_rate": 6.916470671438292e-06, + "loss": 0.7466, + "step": 5784 + }, + { + "epoch": 0.39, + "learning_rate": 6.9154529279040985e-06, + "loss": 0.9064, + "step": 5785 + }, + { + "epoch": 0.39, + "learning_rate": 6.914435091350008e-06, + "loss": 0.8027, + "step": 5786 + }, + { + "epoch": 0.39, + "learning_rate": 6.913417161825449e-06, + "loss": 0.6015, + "step": 5787 + }, + { + "epoch": 0.39, + "learning_rate": 6.9123991393798575e-06, + "loss": 0.6832, + "step": 5788 + }, + { + "epoch": 0.39, + "learning_rate": 6.911381024062668e-06, + "loss": 0.7371, + "step": 5789 + }, + { + "epoch": 0.39, + "learning_rate": 6.910362815923325e-06, + "loss": 0.8084, + "step": 5790 + }, + { + "epoch": 0.39, + "learning_rate": 6.9093445150112756e-06, + "loss": 0.8616, + "step": 5791 + }, + { + "epoch": 0.39, + "learning_rate": 6.908326121375973e-06, + "loss": 0.6483, + "step": 5792 + }, + { + "epoch": 0.39, + "learning_rate": 6.90730763506687e-06, + "loss": 0.5447, + "step": 5793 + }, + { + "epoch": 0.39, + "learning_rate": 6.906289056133431e-06, + "loss": 0.6717, + "step": 5794 + }, + { + "epoch": 0.39, + "learning_rate": 6.905270384625115e-06, + "loss": 0.8964, + "step": 5795 + }, + { + "epoch": 0.39, + "learning_rate": 6.904251620591398e-06, + "loss": 0.914, + "step": 5796 + }, + { + "epoch": 0.39, + "learning_rate": 6.903232764081753e-06, + "loss": 0.7605, + "step": 5797 + }, + { + "epoch": 0.39, + "learning_rate": 6.902213815145655e-06, + "loss": 0.7928, + "step": 5798 + }, + { + "epoch": 0.39, + "learning_rate": 6.9011947738325915e-06, + "loss": 0.6556, + "step": 5799 + }, + { + "epoch": 0.39, + "learning_rate": 6.900175640192046e-06, + "loss": 0.7695, + "step": 5800 + }, + { + "epoch": 0.39, + "learning_rate": 6.899156414273514e-06, + "loss": 0.7619, + "step": 5801 + }, + { + "epoch": 0.39, + "learning_rate": 6.898137096126492e-06, + "loss": 0.6571, + "step": 5802 + }, + { + "epoch": 0.39, + "learning_rate": 6.897117685800476e-06, + "loss": 0.725, + "step": 5803 + }, + { + "epoch": 0.39, + "learning_rate": 6.896098183344977e-06, + "loss": 0.9331, + "step": 5804 + }, + { + "epoch": 0.39, + "learning_rate": 6.895078588809503e-06, + "loss": 0.6125, + "step": 5805 + }, + { + "epoch": 0.4, + "learning_rate": 6.8940589022435685e-06, + "loss": 0.6127, + "step": 5806 + }, + { + "epoch": 0.4, + "learning_rate": 6.893039123696692e-06, + "loss": 0.6106, + "step": 5807 + }, + { + "epoch": 0.4, + "learning_rate": 6.892019253218399e-06, + "loss": 0.4651, + "step": 5808 + }, + { + "epoch": 0.4, + "learning_rate": 6.890999290858213e-06, + "loss": 0.9589, + "step": 5809 + }, + { + "epoch": 0.4, + "learning_rate": 6.889979236665669e-06, + "loss": 0.9773, + "step": 5810 + }, + { + "epoch": 0.4, + "learning_rate": 6.888959090690306e-06, + "loss": 0.601, + "step": 5811 + }, + { + "epoch": 0.4, + "learning_rate": 6.887938852981662e-06, + "loss": 0.5052, + "step": 5812 + }, + { + "epoch": 0.4, + "learning_rate": 6.886918523589283e-06, + "loss": 0.7706, + "step": 5813 + }, + { + "epoch": 0.4, + "learning_rate": 6.88589810256272e-06, + "loss": 0.6684, + "step": 5814 + }, + { + "epoch": 0.4, + "learning_rate": 6.884877589951529e-06, + "loss": 0.6242, + "step": 5815 + }, + { + "epoch": 0.4, + "learning_rate": 6.883856985805266e-06, + "loss": 0.809, + "step": 5816 + }, + { + "epoch": 0.4, + "learning_rate": 6.882836290173493e-06, + "loss": 0.607, + "step": 5817 + }, + { + "epoch": 0.4, + "learning_rate": 6.881815503105784e-06, + "loss": 0.9442, + "step": 5818 + }, + { + "epoch": 0.4, + "learning_rate": 6.880794624651709e-06, + "loss": 0.8558, + "step": 5819 + }, + { + "epoch": 0.4, + "learning_rate": 6.8797736548608405e-06, + "loss": 0.8266, + "step": 5820 + }, + { + "epoch": 0.4, + "learning_rate": 6.8787525937827656e-06, + "loss": 1.0987, + "step": 5821 + }, + { + "epoch": 0.4, + "learning_rate": 6.877731441467067e-06, + "loss": 0.899, + "step": 5822 + }, + { + "epoch": 0.4, + "learning_rate": 6.876710197963334e-06, + "loss": 0.8114, + "step": 5823 + }, + { + "epoch": 0.4, + "learning_rate": 6.875688863321164e-06, + "loss": 0.8931, + "step": 5824 + }, + { + "epoch": 0.4, + "learning_rate": 6.874667437590152e-06, + "loss": 1.0903, + "step": 5825 + }, + { + "epoch": 0.4, + "learning_rate": 6.873645920819906e-06, + "loss": 0.3309, + "step": 5826 + }, + { + "epoch": 0.4, + "learning_rate": 6.87262431306003e-06, + "loss": 0.6959, + "step": 5827 + }, + { + "epoch": 0.4, + "learning_rate": 6.871602614360138e-06, + "loss": 0.8068, + "step": 5828 + }, + { + "epoch": 0.4, + "learning_rate": 6.870580824769848e-06, + "loss": 0.8677, + "step": 5829 + }, + { + "epoch": 0.4, + "learning_rate": 6.869558944338776e-06, + "loss": 0.4802, + "step": 5830 + }, + { + "epoch": 0.4, + "learning_rate": 6.868536973116553e-06, + "loss": 0.6457, + "step": 5831 + }, + { + "epoch": 0.4, + "learning_rate": 6.867514911152808e-06, + "loss": 0.8562, + "step": 5832 + }, + { + "epoch": 0.4, + "learning_rate": 6.866492758497171e-06, + "loss": 0.6954, + "step": 5833 + }, + { + "epoch": 0.4, + "learning_rate": 6.865470515199283e-06, + "loss": 0.7482, + "step": 5834 + }, + { + "epoch": 0.4, + "learning_rate": 6.86444818130879e-06, + "loss": 0.7545, + "step": 5835 + }, + { + "epoch": 0.4, + "learning_rate": 6.8634257568753375e-06, + "loss": 0.7449, + "step": 5836 + }, + { + "epoch": 0.4, + "learning_rate": 6.862403241948574e-06, + "loss": 0.7287, + "step": 5837 + }, + { + "epoch": 0.4, + "learning_rate": 6.861380636578161e-06, + "loss": 0.5556, + "step": 5838 + }, + { + "epoch": 0.4, + "learning_rate": 6.860357940813756e-06, + "loss": 0.687, + "step": 5839 + }, + { + "epoch": 0.4, + "learning_rate": 6.859335154705027e-06, + "loss": 0.7312, + "step": 5840 + }, + { + "epoch": 0.4, + "learning_rate": 6.858312278301638e-06, + "loss": 0.7909, + "step": 5841 + }, + { + "epoch": 0.4, + "learning_rate": 6.857289311653268e-06, + "loss": 0.9105, + "step": 5842 + }, + { + "epoch": 0.4, + "learning_rate": 6.856266254809594e-06, + "loss": 0.7119, + "step": 5843 + }, + { + "epoch": 0.4, + "learning_rate": 6.855243107820298e-06, + "loss": 0.8121, + "step": 5844 + }, + { + "epoch": 0.4, + "learning_rate": 6.8542198707350635e-06, + "loss": 0.9121, + "step": 5845 + }, + { + "epoch": 0.4, + "learning_rate": 6.853196543603589e-06, + "loss": 0.9281, + "step": 5846 + }, + { + "epoch": 0.4, + "learning_rate": 6.852173126475565e-06, + "loss": 0.7815, + "step": 5847 + }, + { + "epoch": 0.4, + "learning_rate": 6.851149619400693e-06, + "loss": 0.7779, + "step": 5848 + }, + { + "epoch": 0.4, + "learning_rate": 6.850126022428678e-06, + "loss": 0.6296, + "step": 5849 + }, + { + "epoch": 0.4, + "learning_rate": 6.8491023356092275e-06, + "loss": 0.6178, + "step": 5850 + }, + { + "epoch": 0.4, + "learning_rate": 6.848078558992056e-06, + "loss": 0.9478, + "step": 5851 + }, + { + "epoch": 0.4, + "learning_rate": 6.84705469262688e-06, + "loss": 0.7373, + "step": 5852 + }, + { + "epoch": 0.4, + "learning_rate": 6.8460307365634225e-06, + "loss": 0.8942, + "step": 5853 + }, + { + "epoch": 0.4, + "learning_rate": 6.8450066908514104e-06, + "loss": 0.9211, + "step": 5854 + }, + { + "epoch": 0.4, + "learning_rate": 6.84398255554057e-06, + "loss": 0.5188, + "step": 5855 + }, + { + "epoch": 0.4, + "learning_rate": 6.84295833068064e-06, + "loss": 1.2166, + "step": 5856 + }, + { + "epoch": 0.4, + "learning_rate": 6.841934016321361e-06, + "loss": 0.9233, + "step": 5857 + }, + { + "epoch": 0.4, + "learning_rate": 6.840909612512473e-06, + "loss": 0.6628, + "step": 5858 + }, + { + "epoch": 0.4, + "learning_rate": 6.839885119303726e-06, + "loss": 0.8947, + "step": 5859 + }, + { + "epoch": 0.4, + "learning_rate": 6.838860536744872e-06, + "loss": 0.4688, + "step": 5860 + }, + { + "epoch": 0.4, + "learning_rate": 6.837835864885668e-06, + "loss": 0.963, + "step": 5861 + }, + { + "epoch": 0.4, + "learning_rate": 6.836811103775874e-06, + "loss": 0.5042, + "step": 5862 + }, + { + "epoch": 0.4, + "learning_rate": 6.835786253465256e-06, + "loss": 0.5766, + "step": 5863 + }, + { + "epoch": 0.4, + "learning_rate": 6.834761314003584e-06, + "loss": 0.7556, + "step": 5864 + }, + { + "epoch": 0.4, + "learning_rate": 6.833736285440632e-06, + "loss": 0.7655, + "step": 5865 + }, + { + "epoch": 0.4, + "learning_rate": 6.832711167826177e-06, + "loss": 0.4525, + "step": 5866 + }, + { + "epoch": 0.4, + "learning_rate": 6.8316859612100036e-06, + "loss": 0.6736, + "step": 5867 + }, + { + "epoch": 0.4, + "learning_rate": 6.830660665641898e-06, + "loss": 0.8281, + "step": 5868 + }, + { + "epoch": 0.4, + "learning_rate": 6.82963528117165e-06, + "loss": 0.746, + "step": 5869 + }, + { + "epoch": 0.4, + "learning_rate": 6.828609807849058e-06, + "loss": 0.7045, + "step": 5870 + }, + { + "epoch": 0.4, + "learning_rate": 6.827584245723919e-06, + "loss": 1.0678, + "step": 5871 + }, + { + "epoch": 0.4, + "learning_rate": 6.826558594846039e-06, + "loss": 0.6969, + "step": 5872 + }, + { + "epoch": 0.4, + "learning_rate": 6.825532855265227e-06, + "loss": 0.8126, + "step": 5873 + }, + { + "epoch": 0.4, + "learning_rate": 6.824507027031295e-06, + "loss": 0.7169, + "step": 5874 + }, + { + "epoch": 0.4, + "learning_rate": 6.82348111019406e-06, + "loss": 0.9603, + "step": 5875 + }, + { + "epoch": 0.4, + "learning_rate": 6.822455104803344e-06, + "loss": 0.6941, + "step": 5876 + }, + { + "epoch": 0.4, + "learning_rate": 6.821429010908972e-06, + "loss": 1.0844, + "step": 5877 + }, + { + "epoch": 0.4, + "learning_rate": 6.820402828560776e-06, + "loss": 0.82, + "step": 5878 + }, + { + "epoch": 0.4, + "learning_rate": 6.819376557808587e-06, + "loss": 0.7351, + "step": 5879 + }, + { + "epoch": 0.4, + "learning_rate": 6.818350198702246e-06, + "loss": 0.7095, + "step": 5880 + }, + { + "epoch": 0.4, + "learning_rate": 6.817323751291598e-06, + "loss": 0.7311, + "step": 5881 + }, + { + "epoch": 0.4, + "learning_rate": 6.816297215626485e-06, + "loss": 0.8344, + "step": 5882 + }, + { + "epoch": 0.4, + "learning_rate": 6.815270591756762e-06, + "loss": 0.7871, + "step": 5883 + }, + { + "epoch": 0.4, + "learning_rate": 6.814243879732285e-06, + "loss": 0.5799, + "step": 5884 + }, + { + "epoch": 0.4, + "learning_rate": 6.813217079602912e-06, + "loss": 0.8295, + "step": 5885 + }, + { + "epoch": 0.4, + "learning_rate": 6.812190191418508e-06, + "loss": 0.6487, + "step": 5886 + }, + { + "epoch": 0.4, + "learning_rate": 6.811163215228944e-06, + "loss": 0.9404, + "step": 5887 + }, + { + "epoch": 0.4, + "learning_rate": 6.81013615108409e-06, + "loss": 0.764, + "step": 5888 + }, + { + "epoch": 0.4, + "learning_rate": 6.809108999033825e-06, + "loss": 0.7711, + "step": 5889 + }, + { + "epoch": 0.4, + "learning_rate": 6.80808175912803e-06, + "loss": 0.8715, + "step": 5890 + }, + { + "epoch": 0.4, + "learning_rate": 6.8070544314165894e-06, + "loss": 0.6471, + "step": 5891 + }, + { + "epoch": 0.4, + "learning_rate": 6.806027015949397e-06, + "loss": 0.7947, + "step": 5892 + }, + { + "epoch": 0.4, + "learning_rate": 6.80499951277634e-06, + "loss": 0.5704, + "step": 5893 + }, + { + "epoch": 0.4, + "learning_rate": 6.8039719219473256e-06, + "loss": 0.7423, + "step": 5894 + }, + { + "epoch": 0.4, + "learning_rate": 6.802944243512249e-06, + "loss": 0.9138, + "step": 5895 + }, + { + "epoch": 0.4, + "learning_rate": 6.80191647752102e-06, + "loss": 0.7673, + "step": 5896 + }, + { + "epoch": 0.4, + "learning_rate": 6.800888624023552e-06, + "loss": 0.6669, + "step": 5897 + }, + { + "epoch": 0.4, + "learning_rate": 6.799860683069759e-06, + "loss": 0.7935, + "step": 5898 + }, + { + "epoch": 0.4, + "learning_rate": 6.7988326547095605e-06, + "loss": 0.7464, + "step": 5899 + }, + { + "epoch": 0.4, + "learning_rate": 6.797804538992881e-06, + "loss": 0.7973, + "step": 5900 + }, + { + "epoch": 0.4, + "learning_rate": 6.796776335969646e-06, + "loss": 0.8873, + "step": 5901 + }, + { + "epoch": 0.4, + "learning_rate": 6.795748045689792e-06, + "loss": 1.0022, + "step": 5902 + }, + { + "epoch": 0.4, + "learning_rate": 6.794719668203253e-06, + "loss": 0.8285, + "step": 5903 + }, + { + "epoch": 0.4, + "learning_rate": 6.793691203559972e-06, + "loss": 0.6582, + "step": 5904 + }, + { + "epoch": 0.4, + "learning_rate": 6.792662651809895e-06, + "loss": 0.8338, + "step": 5905 + }, + { + "epoch": 0.4, + "learning_rate": 6.791634013002967e-06, + "loss": 0.657, + "step": 5906 + }, + { + "epoch": 0.4, + "learning_rate": 6.790605287189143e-06, + "loss": 0.6962, + "step": 5907 + }, + { + "epoch": 0.4, + "learning_rate": 6.789576474418385e-06, + "loss": 0.8237, + "step": 5908 + }, + { + "epoch": 0.4, + "learning_rate": 6.788547574740653e-06, + "loss": 0.9742, + "step": 5909 + }, + { + "epoch": 0.4, + "learning_rate": 6.787518588205909e-06, + "loss": 0.8217, + "step": 5910 + }, + { + "epoch": 0.4, + "learning_rate": 6.7864895148641295e-06, + "loss": 0.975, + "step": 5911 + }, + { + "epoch": 0.4, + "learning_rate": 6.785460354765287e-06, + "loss": 0.5951, + "step": 5912 + }, + { + "epoch": 0.4, + "learning_rate": 6.78443110795936e-06, + "loss": 0.7243, + "step": 5913 + }, + { + "epoch": 0.4, + "learning_rate": 6.783401774496332e-06, + "loss": 0.8438, + "step": 5914 + }, + { + "epoch": 0.4, + "learning_rate": 6.78237235442619e-06, + "loss": 1.0585, + "step": 5915 + }, + { + "epoch": 0.4, + "learning_rate": 6.781342847798927e-06, + "loss": 0.5943, + "step": 5916 + }, + { + "epoch": 0.4, + "learning_rate": 6.7803132546645364e-06, + "loss": 0.8248, + "step": 5917 + }, + { + "epoch": 0.4, + "learning_rate": 6.779283575073021e-06, + "loss": 0.7706, + "step": 5918 + }, + { + "epoch": 0.4, + "learning_rate": 6.778253809074384e-06, + "loss": 0.8608, + "step": 5919 + }, + { + "epoch": 0.4, + "learning_rate": 6.777223956718632e-06, + "loss": 0.8983, + "step": 5920 + }, + { + "epoch": 0.4, + "learning_rate": 6.7761940180557785e-06, + "loss": 0.6217, + "step": 5921 + }, + { + "epoch": 0.4, + "learning_rate": 6.775163993135843e-06, + "loss": 0.8355, + "step": 5922 + }, + { + "epoch": 0.4, + "learning_rate": 6.774133882008843e-06, + "loss": 1.0002, + "step": 5923 + }, + { + "epoch": 0.4, + "learning_rate": 6.773103684724806e-06, + "loss": 0.9218, + "step": 5924 + }, + { + "epoch": 0.4, + "learning_rate": 6.772073401333758e-06, + "loss": 0.7953, + "step": 5925 + }, + { + "epoch": 0.4, + "learning_rate": 6.771043031885736e-06, + "loss": 0.6109, + "step": 5926 + }, + { + "epoch": 0.4, + "learning_rate": 6.770012576430777e-06, + "loss": 0.6382, + "step": 5927 + }, + { + "epoch": 0.4, + "learning_rate": 6.768982035018922e-06, + "loss": 0.5345, + "step": 5928 + }, + { + "epoch": 0.4, + "learning_rate": 6.767951407700217e-06, + "loss": 0.7905, + "step": 5929 + }, + { + "epoch": 0.4, + "learning_rate": 6.766920694524714e-06, + "loss": 0.4549, + "step": 5930 + }, + { + "epoch": 0.4, + "learning_rate": 6.765889895542465e-06, + "loss": 0.6928, + "step": 5931 + }, + { + "epoch": 0.4, + "learning_rate": 6.76485901080353e-06, + "loss": 0.6942, + "step": 5932 + }, + { + "epoch": 0.4, + "learning_rate": 6.76382804035797e-06, + "loss": 0.7947, + "step": 5933 + }, + { + "epoch": 0.4, + "learning_rate": 6.762796984255854e-06, + "loss": 0.9877, + "step": 5934 + }, + { + "epoch": 0.4, + "learning_rate": 6.761765842547253e-06, + "loss": 0.6933, + "step": 5935 + }, + { + "epoch": 0.4, + "learning_rate": 6.760734615282241e-06, + "loss": 0.7044, + "step": 5936 + }, + { + "epoch": 0.4, + "learning_rate": 6.759703302510898e-06, + "loss": 1.059, + "step": 5937 + }, + { + "epoch": 0.4, + "learning_rate": 6.758671904283307e-06, + "loss": 0.587, + "step": 5938 + }, + { + "epoch": 0.4, + "learning_rate": 6.757640420649556e-06, + "loss": 0.7179, + "step": 5939 + }, + { + "epoch": 0.4, + "learning_rate": 6.756608851659736e-06, + "loss": 0.7183, + "step": 5940 + }, + { + "epoch": 0.4, + "learning_rate": 6.755577197363945e-06, + "loss": 0.7557, + "step": 5941 + }, + { + "epoch": 0.4, + "learning_rate": 6.75454545781228e-06, + "loss": 0.9632, + "step": 5942 + }, + { + "epoch": 0.4, + "learning_rate": 6.75351363305485e-06, + "loss": 0.7163, + "step": 5943 + }, + { + "epoch": 0.4, + "learning_rate": 6.7524817231417595e-06, + "loss": 0.7435, + "step": 5944 + }, + { + "epoch": 0.4, + "learning_rate": 6.75144972812312e-06, + "loss": 1.0145, + "step": 5945 + }, + { + "epoch": 0.4, + "learning_rate": 6.750417648049053e-06, + "loss": 0.8805, + "step": 5946 + }, + { + "epoch": 0.4, + "learning_rate": 6.749385482969675e-06, + "loss": 0.6966, + "step": 5947 + }, + { + "epoch": 0.4, + "learning_rate": 6.74835323293511e-06, + "loss": 0.7574, + "step": 5948 + }, + { + "epoch": 0.4, + "learning_rate": 6.747320897995493e-06, + "loss": 0.7753, + "step": 5949 + }, + { + "epoch": 0.4, + "learning_rate": 6.746288478200951e-06, + "loss": 0.7232, + "step": 5950 + }, + { + "epoch": 0.4, + "learning_rate": 6.745255973601625e-06, + "loss": 0.8634, + "step": 5951 + }, + { + "epoch": 0.4, + "learning_rate": 6.7442233842476545e-06, + "loss": 0.6909, + "step": 5952 + }, + { + "epoch": 0.41, + "learning_rate": 6.743190710189186e-06, + "loss": 0.6354, + "step": 5953 + }, + { + "epoch": 0.41, + "learning_rate": 6.742157951476369e-06, + "loss": 0.8126, + "step": 5954 + }, + { + "epoch": 0.41, + "learning_rate": 6.741125108159356e-06, + "loss": 0.8961, + "step": 5955 + }, + { + "epoch": 0.41, + "learning_rate": 6.740092180288307e-06, + "loss": 0.7899, + "step": 5956 + }, + { + "epoch": 0.41, + "learning_rate": 6.739059167913382e-06, + "loss": 0.8249, + "step": 5957 + }, + { + "epoch": 0.41, + "learning_rate": 6.738026071084749e-06, + "loss": 0.6387, + "step": 5958 + }, + { + "epoch": 0.41, + "learning_rate": 6.736992889852575e-06, + "loss": 0.5304, + "step": 5959 + }, + { + "epoch": 0.41, + "learning_rate": 6.735959624267037e-06, + "loss": 0.7004, + "step": 5960 + }, + { + "epoch": 0.41, + "learning_rate": 6.734926274378313e-06, + "loss": 0.7152, + "step": 5961 + }, + { + "epoch": 0.41, + "learning_rate": 6.733892840236584e-06, + "loss": 0.8068, + "step": 5962 + }, + { + "epoch": 0.41, + "learning_rate": 6.732859321892038e-06, + "loss": 0.723, + "step": 5963 + }, + { + "epoch": 0.41, + "learning_rate": 6.731825719394866e-06, + "loss": 0.7388, + "step": 5964 + }, + { + "epoch": 0.41, + "learning_rate": 6.730792032795261e-06, + "loss": 0.5912, + "step": 5965 + }, + { + "epoch": 0.41, + "learning_rate": 6.729758262143422e-06, + "loss": 0.8453, + "step": 5966 + }, + { + "epoch": 0.41, + "learning_rate": 6.728724407489554e-06, + "loss": 0.7883, + "step": 5967 + }, + { + "epoch": 0.41, + "learning_rate": 6.7276904688838625e-06, + "loss": 0.8883, + "step": 5968 + }, + { + "epoch": 0.41, + "learning_rate": 6.726656446376557e-06, + "loss": 0.6993, + "step": 5969 + }, + { + "epoch": 0.41, + "learning_rate": 6.725622340017855e-06, + "loss": 0.7437, + "step": 5970 + }, + { + "epoch": 0.41, + "learning_rate": 6.724588149857976e-06, + "loss": 0.9707, + "step": 5971 + }, + { + "epoch": 0.41, + "learning_rate": 6.723553875947139e-06, + "loss": 0.5858, + "step": 5972 + }, + { + "epoch": 0.41, + "learning_rate": 6.722519518335576e-06, + "loss": 0.8085, + "step": 5973 + }, + { + "epoch": 0.41, + "learning_rate": 6.721485077073517e-06, + "loss": 0.7425, + "step": 5974 + }, + { + "epoch": 0.41, + "learning_rate": 6.720450552211197e-06, + "loss": 0.6329, + "step": 5975 + }, + { + "epoch": 0.41, + "learning_rate": 6.719415943798855e-06, + "loss": 0.6212, + "step": 5976 + }, + { + "epoch": 0.41, + "learning_rate": 6.7183812518867365e-06, + "loss": 0.616, + "step": 5977 + }, + { + "epoch": 0.41, + "learning_rate": 6.717346476525087e-06, + "loss": 0.6247, + "step": 5978 + }, + { + "epoch": 0.41, + "learning_rate": 6.716311617764159e-06, + "loss": 1.0037, + "step": 5979 + }, + { + "epoch": 0.41, + "learning_rate": 6.715276675654208e-06, + "loss": 1.0317, + "step": 5980 + }, + { + "epoch": 0.41, + "learning_rate": 6.714241650245494e-06, + "loss": 0.8092, + "step": 5981 + }, + { + "epoch": 0.41, + "learning_rate": 6.713206541588281e-06, + "loss": 0.8309, + "step": 5982 + }, + { + "epoch": 0.41, + "learning_rate": 6.712171349732836e-06, + "loss": 0.9833, + "step": 5983 + }, + { + "epoch": 0.41, + "learning_rate": 6.711136074729432e-06, + "loss": 0.6983, + "step": 5984 + }, + { + "epoch": 0.41, + "learning_rate": 6.710100716628345e-06, + "loss": 0.9746, + "step": 5985 + }, + { + "epoch": 0.41, + "learning_rate": 6.709065275479853e-06, + "loss": 0.9872, + "step": 5986 + }, + { + "epoch": 0.41, + "learning_rate": 6.708029751334242e-06, + "loss": 0.499, + "step": 5987 + }, + { + "epoch": 0.41, + "learning_rate": 6.706994144241799e-06, + "loss": 0.7461, + "step": 5988 + }, + { + "epoch": 0.41, + "learning_rate": 6.705958454252817e-06, + "loss": 0.8627, + "step": 5989 + }, + { + "epoch": 0.41, + "learning_rate": 6.704922681417593e-06, + "loss": 0.5856, + "step": 5990 + }, + { + "epoch": 0.41, + "learning_rate": 6.703886825786423e-06, + "loss": 0.817, + "step": 5991 + }, + { + "epoch": 0.41, + "learning_rate": 6.702850887409617e-06, + "loss": 0.7423, + "step": 5992 + }, + { + "epoch": 0.41, + "learning_rate": 6.701814866337477e-06, + "loss": 0.7995, + "step": 5993 + }, + { + "epoch": 0.41, + "learning_rate": 6.700778762620319e-06, + "loss": 0.7815, + "step": 5994 + }, + { + "epoch": 0.41, + "learning_rate": 6.699742576308459e-06, + "loss": 0.8219, + "step": 5995 + }, + { + "epoch": 0.41, + "learning_rate": 6.698706307452215e-06, + "loss": 0.5869, + "step": 5996 + }, + { + "epoch": 0.41, + "learning_rate": 6.697669956101914e-06, + "loss": 0.9415, + "step": 5997 + }, + { + "epoch": 0.41, + "learning_rate": 6.696633522307883e-06, + "loss": 0.8354, + "step": 5998 + }, + { + "epoch": 0.41, + "learning_rate": 6.695597006120453e-06, + "loss": 0.7718, + "step": 5999 + }, + { + "epoch": 0.41, + "learning_rate": 6.6945604075899604e-06, + "loss": 0.8965, + "step": 6000 + }, + { + "epoch": 0.41, + "learning_rate": 6.693523726766747e-06, + "loss": 0.775, + "step": 6001 + }, + { + "epoch": 0.41, + "learning_rate": 6.692486963701157e-06, + "loss": 0.7829, + "step": 6002 + }, + { + "epoch": 0.41, + "learning_rate": 6.691450118443538e-06, + "loss": 0.7426, + "step": 6003 + }, + { + "epoch": 0.41, + "learning_rate": 6.69041319104424e-06, + "loss": 0.8631, + "step": 6004 + }, + { + "epoch": 0.41, + "learning_rate": 6.689376181553624e-06, + "loss": 0.9523, + "step": 6005 + }, + { + "epoch": 0.41, + "learning_rate": 6.688339090022047e-06, + "loss": 0.6509, + "step": 6006 + }, + { + "epoch": 0.41, + "learning_rate": 6.687301916499871e-06, + "loss": 0.7483, + "step": 6007 + }, + { + "epoch": 0.41, + "learning_rate": 6.68626466103747e-06, + "loss": 0.8123, + "step": 6008 + }, + { + "epoch": 0.41, + "learning_rate": 6.685227323685209e-06, + "loss": 0.5957, + "step": 6009 + }, + { + "epoch": 0.41, + "learning_rate": 6.68418990449347e-06, + "loss": 0.7768, + "step": 6010 + }, + { + "epoch": 0.41, + "learning_rate": 6.68315240351263e-06, + "loss": 0.8194, + "step": 6011 + }, + { + "epoch": 0.41, + "learning_rate": 6.682114820793075e-06, + "loss": 0.8931, + "step": 6012 + }, + { + "epoch": 0.41, + "learning_rate": 6.681077156385192e-06, + "loss": 0.9722, + "step": 6013 + }, + { + "epoch": 0.41, + "learning_rate": 6.680039410339371e-06, + "loss": 0.7174, + "step": 6014 + }, + { + "epoch": 0.41, + "learning_rate": 6.67900158270601e-06, + "loss": 0.6897, + "step": 6015 + }, + { + "epoch": 0.41, + "learning_rate": 6.677963673535512e-06, + "loss": 0.772, + "step": 6016 + }, + { + "epoch": 0.41, + "learning_rate": 6.676925682878273e-06, + "loss": 0.5045, + "step": 6017 + }, + { + "epoch": 0.41, + "learning_rate": 6.675887610784708e-06, + "loss": 0.5413, + "step": 6018 + }, + { + "epoch": 0.41, + "learning_rate": 6.674849457305227e-06, + "loss": 0.6752, + "step": 6019 + }, + { + "epoch": 0.41, + "learning_rate": 6.673811222490243e-06, + "loss": 0.5319, + "step": 6020 + }, + { + "epoch": 0.41, + "learning_rate": 6.672772906390177e-06, + "loss": 0.5314, + "step": 6021 + }, + { + "epoch": 0.41, + "learning_rate": 6.671734509055455e-06, + "loss": 1.0502, + "step": 6022 + }, + { + "epoch": 0.41, + "learning_rate": 6.670696030536501e-06, + "loss": 0.7256, + "step": 6023 + }, + { + "epoch": 0.41, + "learning_rate": 6.669657470883749e-06, + "loss": 0.8343, + "step": 6024 + }, + { + "epoch": 0.41, + "learning_rate": 6.668618830147634e-06, + "loss": 0.5216, + "step": 6025 + }, + { + "epoch": 0.41, + "learning_rate": 6.667580108378594e-06, + "loss": 0.6653, + "step": 6026 + }, + { + "epoch": 0.41, + "learning_rate": 6.666541305627074e-06, + "loss": 0.8699, + "step": 6027 + }, + { + "epoch": 0.41, + "learning_rate": 6.6655024219435195e-06, + "loss": 0.7995, + "step": 6028 + }, + { + "epoch": 0.41, + "learning_rate": 6.6644634573783825e-06, + "loss": 0.9218, + "step": 6029 + }, + { + "epoch": 0.41, + "learning_rate": 6.663424411982121e-06, + "loss": 0.8266, + "step": 6030 + }, + { + "epoch": 0.41, + "learning_rate": 6.6623852858051885e-06, + "loss": 0.6639, + "step": 6031 + }, + { + "epoch": 0.41, + "learning_rate": 6.661346078898052e-06, + "loss": 1.1646, + "step": 6032 + }, + { + "epoch": 0.41, + "learning_rate": 6.660306791311177e-06, + "loss": 0.7066, + "step": 6033 + }, + { + "epoch": 0.41, + "learning_rate": 6.6592674230950346e-06, + "loss": 0.6438, + "step": 6034 + }, + { + "epoch": 0.41, + "learning_rate": 6.6582279743001e-06, + "loss": 0.8468, + "step": 6035 + }, + { + "epoch": 0.41, + "learning_rate": 6.65718844497685e-06, + "loss": 0.8845, + "step": 6036 + }, + { + "epoch": 0.41, + "learning_rate": 6.6561488351757686e-06, + "loss": 0.8161, + "step": 6037 + }, + { + "epoch": 0.41, + "learning_rate": 6.655109144947341e-06, + "loss": 0.5974, + "step": 6038 + }, + { + "epoch": 0.41, + "learning_rate": 6.65406937434206e-06, + "loss": 0.7496, + "step": 6039 + }, + { + "epoch": 0.41, + "learning_rate": 6.653029523410418e-06, + "loss": 0.6878, + "step": 6040 + }, + { + "epoch": 0.41, + "learning_rate": 6.651989592202913e-06, + "loss": 0.6942, + "step": 6041 + }, + { + "epoch": 0.41, + "learning_rate": 6.650949580770048e-06, + "loss": 0.8683, + "step": 6042 + }, + { + "epoch": 0.41, + "learning_rate": 6.649909489162329e-06, + "loss": 0.8371, + "step": 6043 + }, + { + "epoch": 0.41, + "learning_rate": 6.648869317430265e-06, + "loss": 0.831, + "step": 6044 + }, + { + "epoch": 0.41, + "learning_rate": 6.647829065624368e-06, + "loss": 1.0226, + "step": 6045 + }, + { + "epoch": 0.41, + "learning_rate": 6.646788733795161e-06, + "loss": 0.874, + "step": 6046 + }, + { + "epoch": 0.41, + "learning_rate": 6.6457483219931605e-06, + "loss": 0.8159, + "step": 6047 + }, + { + "epoch": 0.41, + "learning_rate": 6.644707830268894e-06, + "loss": 0.7306, + "step": 6048 + }, + { + "epoch": 0.41, + "learning_rate": 6.643667258672889e-06, + "loss": 0.8898, + "step": 6049 + }, + { + "epoch": 0.41, + "learning_rate": 6.642626607255681e-06, + "loss": 0.7535, + "step": 6050 + }, + { + "epoch": 0.41, + "learning_rate": 6.641585876067807e-06, + "loss": 0.7837, + "step": 6051 + }, + { + "epoch": 0.41, + "learning_rate": 6.640545065159804e-06, + "loss": 0.7362, + "step": 6052 + }, + { + "epoch": 0.41, + "learning_rate": 6.639504174582222e-06, + "loss": 0.8084, + "step": 6053 + }, + { + "epoch": 0.41, + "learning_rate": 6.6384632043856075e-06, + "loss": 0.6555, + "step": 6054 + }, + { + "epoch": 0.41, + "learning_rate": 6.637422154620511e-06, + "loss": 1.0156, + "step": 6055 + }, + { + "epoch": 0.41, + "learning_rate": 6.636381025337492e-06, + "loss": 0.6616, + "step": 6056 + }, + { + "epoch": 0.41, + "learning_rate": 6.635339816587109e-06, + "loss": 0.7411, + "step": 6057 + }, + { + "epoch": 0.41, + "learning_rate": 6.634298528419927e-06, + "loss": 0.7425, + "step": 6058 + }, + { + "epoch": 0.41, + "learning_rate": 6.6332571608865116e-06, + "loss": 0.6631, + "step": 6059 + }, + { + "epoch": 0.41, + "learning_rate": 6.632215714037439e-06, + "loss": 0.5736, + "step": 6060 + }, + { + "epoch": 0.41, + "learning_rate": 6.63117418792328e-06, + "loss": 0.9782, + "step": 6061 + }, + { + "epoch": 0.41, + "learning_rate": 6.630132582594617e-06, + "loss": 0.5795, + "step": 6062 + }, + { + "epoch": 0.41, + "learning_rate": 6.629090898102034e-06, + "loss": 0.5564, + "step": 6063 + }, + { + "epoch": 0.41, + "learning_rate": 6.628049134496116e-06, + "loss": 0.5508, + "step": 6064 + }, + { + "epoch": 0.41, + "learning_rate": 6.627007291827454e-06, + "loss": 0.585, + "step": 6065 + }, + { + "epoch": 0.41, + "learning_rate": 6.625965370146645e-06, + "loss": 0.6527, + "step": 6066 + }, + { + "epoch": 0.41, + "learning_rate": 6.6249233695042856e-06, + "loss": 0.795, + "step": 6067 + }, + { + "epoch": 0.41, + "learning_rate": 6.623881289950982e-06, + "loss": 0.6184, + "step": 6068 + }, + { + "epoch": 0.41, + "learning_rate": 6.622839131537334e-06, + "loss": 0.5787, + "step": 6069 + }, + { + "epoch": 0.41, + "learning_rate": 6.621796894313958e-06, + "loss": 0.7933, + "step": 6070 + }, + { + "epoch": 0.41, + "learning_rate": 6.6207545783314656e-06, + "loss": 0.8728, + "step": 6071 + }, + { + "epoch": 0.41, + "learning_rate": 6.619712183640474e-06, + "loss": 0.8701, + "step": 6072 + }, + { + "epoch": 0.41, + "learning_rate": 6.618669710291607e-06, + "loss": 0.621, + "step": 6073 + }, + { + "epoch": 0.41, + "learning_rate": 6.6176271583354865e-06, + "loss": 0.8077, + "step": 6074 + }, + { + "epoch": 0.41, + "learning_rate": 6.616584527822745e-06, + "loss": 0.7167, + "step": 6075 + }, + { + "epoch": 0.41, + "learning_rate": 6.615541818804014e-06, + "loss": 0.5561, + "step": 6076 + }, + { + "epoch": 0.41, + "learning_rate": 6.614499031329933e-06, + "loss": 0.7378, + "step": 6077 + }, + { + "epoch": 0.41, + "learning_rate": 6.6134561654511395e-06, + "loss": 0.726, + "step": 6078 + }, + { + "epoch": 0.41, + "learning_rate": 6.612413221218279e-06, + "loss": 0.6188, + "step": 6079 + }, + { + "epoch": 0.41, + "learning_rate": 6.611370198682001e-06, + "loss": 0.6169, + "step": 6080 + }, + { + "epoch": 0.41, + "learning_rate": 6.610327097892959e-06, + "loss": 0.8683, + "step": 6081 + }, + { + "epoch": 0.41, + "learning_rate": 6.6092839189018045e-06, + "loss": 0.6447, + "step": 6082 + }, + { + "epoch": 0.41, + "learning_rate": 6.608240661759199e-06, + "loss": 1.147, + "step": 6083 + }, + { + "epoch": 0.41, + "learning_rate": 6.607197326515808e-06, + "loss": 0.8762, + "step": 6084 + }, + { + "epoch": 0.41, + "learning_rate": 6.606153913222298e-06, + "loss": 0.8193, + "step": 6085 + }, + { + "epoch": 0.41, + "learning_rate": 6.605110421929339e-06, + "loss": 0.5869, + "step": 6086 + }, + { + "epoch": 0.41, + "learning_rate": 6.604066852687607e-06, + "loss": 0.6947, + "step": 6087 + }, + { + "epoch": 0.41, + "learning_rate": 6.603023205547782e-06, + "loss": 0.6895, + "step": 6088 + }, + { + "epoch": 0.41, + "learning_rate": 6.601979480560543e-06, + "loss": 0.7951, + "step": 6089 + }, + { + "epoch": 0.41, + "learning_rate": 6.600935677776579e-06, + "loss": 0.9633, + "step": 6090 + }, + { + "epoch": 0.41, + "learning_rate": 6.599891797246578e-06, + "loss": 0.6267, + "step": 6091 + }, + { + "epoch": 0.41, + "learning_rate": 6.5988478390212375e-06, + "loss": 0.7779, + "step": 6092 + }, + { + "epoch": 0.41, + "learning_rate": 6.5978038031512505e-06, + "loss": 0.8669, + "step": 6093 + }, + { + "epoch": 0.41, + "learning_rate": 6.5967596896873205e-06, + "loss": 0.8032, + "step": 6094 + }, + { + "epoch": 0.41, + "learning_rate": 6.595715498680155e-06, + "loss": 0.7457, + "step": 6095 + }, + { + "epoch": 0.41, + "learning_rate": 6.59467123018046e-06, + "loss": 0.8487, + "step": 6096 + }, + { + "epoch": 0.41, + "learning_rate": 6.5936268842389475e-06, + "loss": 0.4437, + "step": 6097 + }, + { + "epoch": 0.41, + "learning_rate": 6.592582460906337e-06, + "loss": 0.905, + "step": 6098 + }, + { + "epoch": 0.41, + "learning_rate": 6.591537960233345e-06, + "loss": 0.8905, + "step": 6099 + }, + { + "epoch": 0.42, + "learning_rate": 6.5904933822707e-06, + "loss": 0.6232, + "step": 6100 + }, + { + "epoch": 0.42, + "learning_rate": 6.589448727069126e-06, + "loss": 0.8571, + "step": 6101 + }, + { + "epoch": 0.42, + "learning_rate": 6.5884039946793545e-06, + "loss": 0.958, + "step": 6102 + }, + { + "epoch": 0.42, + "learning_rate": 6.587359185152122e-06, + "loss": 0.6969, + "step": 6103 + }, + { + "epoch": 0.42, + "learning_rate": 6.586314298538168e-06, + "loss": 0.6101, + "step": 6104 + }, + { + "epoch": 0.42, + "learning_rate": 6.5852693348882345e-06, + "loss": 0.9625, + "step": 6105 + }, + { + "epoch": 0.42, + "learning_rate": 6.584224294253069e-06, + "loss": 0.8203, + "step": 6106 + }, + { + "epoch": 0.42, + "learning_rate": 6.583179176683418e-06, + "loss": 0.8716, + "step": 6107 + }, + { + "epoch": 0.42, + "learning_rate": 6.5821339822300405e-06, + "loss": 0.9548, + "step": 6108 + }, + { + "epoch": 0.42, + "learning_rate": 6.581088710943691e-06, + "loss": 0.6169, + "step": 6109 + }, + { + "epoch": 0.42, + "learning_rate": 6.58004336287513e-06, + "loss": 0.8491, + "step": 6110 + }, + { + "epoch": 0.42, + "learning_rate": 6.578997938075126e-06, + "loss": 0.5811, + "step": 6111 + }, + { + "epoch": 0.42, + "learning_rate": 6.5779524365944445e-06, + "loss": 0.8394, + "step": 6112 + }, + { + "epoch": 0.42, + "learning_rate": 6.5769068584838606e-06, + "loss": 0.8092, + "step": 6113 + }, + { + "epoch": 0.42, + "learning_rate": 6.5758612037941484e-06, + "loss": 0.4952, + "step": 6114 + }, + { + "epoch": 0.42, + "learning_rate": 6.5748154725760895e-06, + "loss": 0.8268, + "step": 6115 + }, + { + "epoch": 0.42, + "learning_rate": 6.573769664880468e-06, + "loss": 0.7383, + "step": 6116 + }, + { + "epoch": 0.42, + "learning_rate": 6.572723780758069e-06, + "loss": 0.8493, + "step": 6117 + }, + { + "epoch": 0.42, + "learning_rate": 6.571677820259686e-06, + "loss": 0.6871, + "step": 6118 + }, + { + "epoch": 0.42, + "learning_rate": 6.5706317834361136e-06, + "loss": 1.0051, + "step": 6119 + }, + { + "epoch": 0.42, + "learning_rate": 6.569585670338148e-06, + "loss": 0.7843, + "step": 6120 + }, + { + "epoch": 0.42, + "learning_rate": 6.568539481016593e-06, + "loss": 0.8317, + "step": 6121 + }, + { + "epoch": 0.42, + "learning_rate": 6.567493215522256e-06, + "loss": 0.7795, + "step": 6122 + }, + { + "epoch": 0.42, + "learning_rate": 6.566446873905945e-06, + "loss": 0.6862, + "step": 6123 + }, + { + "epoch": 0.42, + "learning_rate": 6.565400456218473e-06, + "loss": 0.7649, + "step": 6124 + }, + { + "epoch": 0.42, + "learning_rate": 6.564353962510658e-06, + "loss": 0.386, + "step": 6125 + }, + { + "epoch": 0.42, + "learning_rate": 6.56330739283332e-06, + "loss": 0.7246, + "step": 6126 + }, + { + "epoch": 0.42, + "learning_rate": 6.562260747237286e-06, + "loss": 0.5641, + "step": 6127 + }, + { + "epoch": 0.42, + "learning_rate": 6.5612140257733795e-06, + "loss": 0.5453, + "step": 6128 + }, + { + "epoch": 0.42, + "learning_rate": 6.560167228492436e-06, + "loss": 0.8995, + "step": 6129 + }, + { + "epoch": 0.42, + "learning_rate": 6.559120355445291e-06, + "loss": 0.7974, + "step": 6130 + }, + { + "epoch": 0.42, + "learning_rate": 6.55807340668278e-06, + "loss": 0.6296, + "step": 6131 + }, + { + "epoch": 0.42, + "learning_rate": 6.557026382255749e-06, + "loss": 0.9328, + "step": 6132 + }, + { + "epoch": 0.42, + "learning_rate": 6.555979282215046e-06, + "loss": 0.8719, + "step": 6133 + }, + { + "epoch": 0.42, + "learning_rate": 6.554932106611517e-06, + "loss": 0.6479, + "step": 6134 + }, + { + "epoch": 0.42, + "learning_rate": 6.553884855496016e-06, + "loss": 0.7619, + "step": 6135 + }, + { + "epoch": 0.42, + "learning_rate": 6.552837528919407e-06, + "loss": 0.9847, + "step": 6136 + }, + { + "epoch": 0.42, + "learning_rate": 6.551790126932543e-06, + "loss": 0.9508, + "step": 6137 + }, + { + "epoch": 0.42, + "learning_rate": 6.550742649586293e-06, + "loss": 0.7777, + "step": 6138 + }, + { + "epoch": 0.42, + "learning_rate": 6.549695096931526e-06, + "loss": 0.767, + "step": 6139 + }, + { + "epoch": 0.42, + "learning_rate": 6.548647469019113e-06, + "loss": 0.6809, + "step": 6140 + }, + { + "epoch": 0.42, + "learning_rate": 6.547599765899929e-06, + "loss": 0.7338, + "step": 6141 + }, + { + "epoch": 0.42, + "learning_rate": 6.546551987624855e-06, + "loss": 0.81, + "step": 6142 + }, + { + "epoch": 0.42, + "learning_rate": 6.545504134244773e-06, + "loss": 0.5217, + "step": 6143 + }, + { + "epoch": 0.42, + "learning_rate": 6.5444562058105725e-06, + "loss": 0.6993, + "step": 6144 + }, + { + "epoch": 0.42, + "learning_rate": 6.543408202373138e-06, + "loss": 0.7148, + "step": 6145 + }, + { + "epoch": 0.42, + "learning_rate": 6.542360123983371e-06, + "loss": 0.5114, + "step": 6146 + }, + { + "epoch": 0.42, + "learning_rate": 6.5413119706921635e-06, + "loss": 0.9432, + "step": 6147 + }, + { + "epoch": 0.42, + "learning_rate": 6.540263742550419e-06, + "loss": 0.7962, + "step": 6148 + }, + { + "epoch": 0.42, + "learning_rate": 6.539215439609043e-06, + "loss": 0.5867, + "step": 6149 + }, + { + "epoch": 0.42, + "learning_rate": 6.538167061918942e-06, + "loss": 0.8794, + "step": 6150 + }, + { + "epoch": 0.42, + "learning_rate": 6.53711860953103e-06, + "loss": 0.6194, + "step": 6151 + }, + { + "epoch": 0.42, + "learning_rate": 6.536070082496222e-06, + "loss": 0.6795, + "step": 6152 + }, + { + "epoch": 0.42, + "learning_rate": 6.535021480865439e-06, + "loss": 0.7662, + "step": 6153 + }, + { + "epoch": 0.42, + "learning_rate": 6.533972804689603e-06, + "loss": 0.7677, + "step": 6154 + }, + { + "epoch": 0.42, + "learning_rate": 6.53292405401964e-06, + "loss": 0.8178, + "step": 6155 + }, + { + "epoch": 0.42, + "learning_rate": 6.5318752289064815e-06, + "loss": 0.7555, + "step": 6156 + }, + { + "epoch": 0.42, + "learning_rate": 6.530826329401062e-06, + "loss": 0.9138, + "step": 6157 + }, + { + "epoch": 0.42, + "learning_rate": 6.529777355554317e-06, + "loss": 1.1664, + "step": 6158 + }, + { + "epoch": 0.42, + "learning_rate": 6.5287283074171884e-06, + "loss": 1.1173, + "step": 6159 + }, + { + "epoch": 0.42, + "learning_rate": 6.527679185040623e-06, + "loss": 0.6093, + "step": 6160 + }, + { + "epoch": 0.42, + "learning_rate": 6.526629988475567e-06, + "loss": 0.8414, + "step": 6161 + }, + { + "epoch": 0.42, + "learning_rate": 6.525580717772973e-06, + "loss": 0.7041, + "step": 6162 + }, + { + "epoch": 0.42, + "learning_rate": 6.5245313729837956e-06, + "loss": 0.5739, + "step": 6163 + }, + { + "epoch": 0.42, + "learning_rate": 6.5234819541589956e-06, + "loss": 0.7255, + "step": 6164 + }, + { + "epoch": 0.42, + "learning_rate": 6.522432461349536e-06, + "loss": 0.893, + "step": 6165 + }, + { + "epoch": 0.42, + "learning_rate": 6.5213828946063815e-06, + "loss": 0.8503, + "step": 6166 + }, + { + "epoch": 0.42, + "learning_rate": 6.520333253980503e-06, + "loss": 0.7619, + "step": 6167 + }, + { + "epoch": 0.42, + "learning_rate": 6.519283539522876e-06, + "loss": 0.7038, + "step": 6168 + }, + { + "epoch": 0.42, + "learning_rate": 6.5182337512844725e-06, + "loss": 0.5835, + "step": 6169 + }, + { + "epoch": 0.42, + "learning_rate": 6.517183889316278e-06, + "loss": 0.7112, + "step": 6170 + }, + { + "epoch": 0.42, + "learning_rate": 6.516133953669277e-06, + "loss": 0.8106, + "step": 6171 + }, + { + "epoch": 0.42, + "learning_rate": 6.515083944394454e-06, + "loss": 0.7718, + "step": 6172 + }, + { + "epoch": 0.42, + "learning_rate": 6.514033861542801e-06, + "loss": 0.6786, + "step": 6173 + }, + { + "epoch": 0.42, + "learning_rate": 6.512983705165315e-06, + "loss": 0.8468, + "step": 6174 + }, + { + "epoch": 0.42, + "learning_rate": 6.511933475312995e-06, + "loss": 0.8633, + "step": 6175 + }, + { + "epoch": 0.42, + "learning_rate": 6.51088317203684e-06, + "loss": 0.7061, + "step": 6176 + }, + { + "epoch": 0.42, + "learning_rate": 6.5098327953878585e-06, + "loss": 1.0315, + "step": 6177 + }, + { + "epoch": 0.42, + "learning_rate": 6.50878234541706e-06, + "loss": 0.9735, + "step": 6178 + }, + { + "epoch": 0.42, + "learning_rate": 6.5077318221754536e-06, + "loss": 0.6532, + "step": 6179 + }, + { + "epoch": 0.42, + "learning_rate": 6.506681225714061e-06, + "loss": 0.9323, + "step": 6180 + }, + { + "epoch": 0.42, + "learning_rate": 6.505630556083898e-06, + "loss": 0.5682, + "step": 6181 + }, + { + "epoch": 0.42, + "learning_rate": 6.5045798133359924e-06, + "loss": 0.6839, + "step": 6182 + }, + { + "epoch": 0.42, + "learning_rate": 6.503528997521365e-06, + "loss": 0.6233, + "step": 6183 + }, + { + "epoch": 0.42, + "learning_rate": 6.502478108691054e-06, + "loss": 0.576, + "step": 6184 + }, + { + "epoch": 0.42, + "learning_rate": 6.501427146896087e-06, + "loss": 0.5271, + "step": 6185 + }, + { + "epoch": 0.42, + "learning_rate": 6.500376112187505e-06, + "loss": 0.5909, + "step": 6186 + }, + { + "epoch": 0.42, + "learning_rate": 6.499325004616349e-06, + "loss": 0.7717, + "step": 6187 + }, + { + "epoch": 0.42, + "learning_rate": 6.498273824233664e-06, + "loss": 0.8379, + "step": 6188 + }, + { + "epoch": 0.42, + "learning_rate": 6.497222571090497e-06, + "loss": 0.7574, + "step": 6189 + }, + { + "epoch": 0.42, + "learning_rate": 6.496171245237901e-06, + "loss": 1.0838, + "step": 6190 + }, + { + "epoch": 0.42, + "learning_rate": 6.4951198467269305e-06, + "loss": 1.05, + "step": 6191 + }, + { + "epoch": 0.42, + "learning_rate": 6.494068375608646e-06, + "loss": 0.8458, + "step": 6192 + }, + { + "epoch": 0.42, + "learning_rate": 6.493016831934108e-06, + "loss": 0.8817, + "step": 6193 + }, + { + "epoch": 0.42, + "learning_rate": 6.491965215754383e-06, + "loss": 0.656, + "step": 6194 + }, + { + "epoch": 0.42, + "learning_rate": 6.490913527120543e-06, + "loss": 0.8587, + "step": 6195 + }, + { + "epoch": 0.42, + "learning_rate": 6.489861766083658e-06, + "loss": 0.769, + "step": 6196 + }, + { + "epoch": 0.42, + "learning_rate": 6.488809932694805e-06, + "loss": 0.8312, + "step": 6197 + }, + { + "epoch": 0.42, + "learning_rate": 6.487758027005066e-06, + "loss": 0.7445, + "step": 6198 + }, + { + "epoch": 0.42, + "learning_rate": 6.486706049065523e-06, + "loss": 0.4948, + "step": 6199 + }, + { + "epoch": 0.42, + "learning_rate": 6.485653998927261e-06, + "loss": 0.5979, + "step": 6200 + }, + { + "epoch": 0.42, + "learning_rate": 6.484601876641375e-06, + "loss": 0.5969, + "step": 6201 + }, + { + "epoch": 0.42, + "learning_rate": 6.483549682258956e-06, + "loss": 0.5872, + "step": 6202 + }, + { + "epoch": 0.42, + "learning_rate": 6.482497415831103e-06, + "loss": 0.912, + "step": 6203 + }, + { + "epoch": 0.42, + "learning_rate": 6.4814450774089156e-06, + "loss": 0.9734, + "step": 6204 + }, + { + "epoch": 0.42, + "learning_rate": 6.4803926670435e-06, + "loss": 1.0051, + "step": 6205 + }, + { + "epoch": 0.42, + "learning_rate": 6.479340184785965e-06, + "loss": 0.7916, + "step": 6206 + }, + { + "epoch": 0.42, + "learning_rate": 6.478287630687418e-06, + "loss": 0.7841, + "step": 6207 + }, + { + "epoch": 0.42, + "learning_rate": 6.477235004798977e-06, + "loss": 0.5884, + "step": 6208 + }, + { + "epoch": 0.42, + "learning_rate": 6.476182307171763e-06, + "loss": 0.9333, + "step": 6209 + }, + { + "epoch": 0.42, + "learning_rate": 6.475129537856893e-06, + "loss": 0.578, + "step": 6210 + }, + { + "epoch": 0.42, + "learning_rate": 6.474076696905496e-06, + "loss": 0.7522, + "step": 6211 + }, + { + "epoch": 0.42, + "learning_rate": 6.4730237843686995e-06, + "loss": 0.9127, + "step": 6212 + }, + { + "epoch": 0.42, + "learning_rate": 6.4719708002976355e-06, + "loss": 0.6423, + "step": 6213 + }, + { + "epoch": 0.42, + "learning_rate": 6.470917744743441e-06, + "loss": 0.742, + "step": 6214 + }, + { + "epoch": 0.42, + "learning_rate": 6.469864617757256e-06, + "loss": 0.8647, + "step": 6215 + }, + { + "epoch": 0.42, + "learning_rate": 6.468811419390222e-06, + "loss": 0.8304, + "step": 6216 + }, + { + "epoch": 0.42, + "learning_rate": 6.467758149693486e-06, + "loss": 0.7006, + "step": 6217 + }, + { + "epoch": 0.42, + "learning_rate": 6.466704808718198e-06, + "loss": 0.7496, + "step": 6218 + }, + { + "epoch": 0.42, + "learning_rate": 6.465651396515511e-06, + "loss": 0.9503, + "step": 6219 + }, + { + "epoch": 0.42, + "learning_rate": 6.464597913136581e-06, + "loss": 0.6779, + "step": 6220 + }, + { + "epoch": 0.42, + "learning_rate": 6.463544358632569e-06, + "loss": 1.0167, + "step": 6221 + }, + { + "epoch": 0.42, + "learning_rate": 6.462490733054638e-06, + "loss": 0.4509, + "step": 6222 + }, + { + "epoch": 0.42, + "learning_rate": 6.461437036453957e-06, + "loss": 0.7862, + "step": 6223 + }, + { + "epoch": 0.42, + "learning_rate": 6.460383268881693e-06, + "loss": 0.6806, + "step": 6224 + }, + { + "epoch": 0.42, + "learning_rate": 6.459329430389023e-06, + "loss": 1.0634, + "step": 6225 + }, + { + "epoch": 0.42, + "learning_rate": 6.458275521027124e-06, + "loss": 0.8281, + "step": 6226 + }, + { + "epoch": 0.42, + "learning_rate": 6.4572215408471765e-06, + "loss": 0.5559, + "step": 6227 + }, + { + "epoch": 0.42, + "learning_rate": 6.456167489900363e-06, + "loss": 0.8475, + "step": 6228 + }, + { + "epoch": 0.42, + "learning_rate": 6.455113368237874e-06, + "loss": 0.556, + "step": 6229 + }, + { + "epoch": 0.42, + "learning_rate": 6.4540591759109005e-06, + "loss": 0.7889, + "step": 6230 + }, + { + "epoch": 0.42, + "learning_rate": 6.4530049129706344e-06, + "loss": 0.7835, + "step": 6231 + }, + { + "epoch": 0.42, + "learning_rate": 6.451950579468276e-06, + "loss": 0.7901, + "step": 6232 + }, + { + "epoch": 0.42, + "learning_rate": 6.450896175455027e-06, + "loss": 0.73, + "step": 6233 + }, + { + "epoch": 0.42, + "learning_rate": 6.449841700982091e-06, + "loss": 0.9557, + "step": 6234 + }, + { + "epoch": 0.42, + "learning_rate": 6.448787156100675e-06, + "loss": 0.6919, + "step": 6235 + }, + { + "epoch": 0.42, + "learning_rate": 6.447732540861996e-06, + "loss": 0.849, + "step": 6236 + }, + { + "epoch": 0.42, + "learning_rate": 6.446677855317265e-06, + "loss": 0.6936, + "step": 6237 + }, + { + "epoch": 0.42, + "learning_rate": 6.4456230995177e-06, + "loss": 0.6089, + "step": 6238 + }, + { + "epoch": 0.42, + "learning_rate": 6.444568273514524e-06, + "loss": 0.6384, + "step": 6239 + }, + { + "epoch": 0.42, + "learning_rate": 6.443513377358964e-06, + "loss": 0.8208, + "step": 6240 + }, + { + "epoch": 0.42, + "learning_rate": 6.442458411102247e-06, + "loss": 0.3728, + "step": 6241 + }, + { + "epoch": 0.42, + "learning_rate": 6.441403374795606e-06, + "loss": 0.7543, + "step": 6242 + }, + { + "epoch": 0.42, + "learning_rate": 6.4403482684902755e-06, + "loss": 0.959, + "step": 6243 + }, + { + "epoch": 0.42, + "learning_rate": 6.4392930922374964e-06, + "loss": 0.705, + "step": 6244 + }, + { + "epoch": 0.42, + "learning_rate": 6.438237846088509e-06, + "loss": 0.6655, + "step": 6245 + }, + { + "epoch": 0.42, + "learning_rate": 6.437182530094559e-06, + "loss": 0.6109, + "step": 6246 + }, + { + "epoch": 0.43, + "learning_rate": 6.436127144306898e-06, + "loss": 0.76, + "step": 6247 + }, + { + "epoch": 0.43, + "learning_rate": 6.435071688776777e-06, + "loss": 0.677, + "step": 6248 + }, + { + "epoch": 0.43, + "learning_rate": 6.434016163555452e-06, + "loss": 0.5672, + "step": 6249 + }, + { + "epoch": 0.43, + "learning_rate": 6.432960568694182e-06, + "loss": 0.7931, + "step": 6250 + }, + { + "epoch": 0.43, + "learning_rate": 6.43190490424423e-06, + "loss": 1.0878, + "step": 6251 + }, + { + "epoch": 0.43, + "learning_rate": 6.430849170256863e-06, + "loss": 0.9173, + "step": 6252 + }, + { + "epoch": 0.43, + "learning_rate": 6.42979336678335e-06, + "loss": 0.7305, + "step": 6253 + }, + { + "epoch": 0.43, + "learning_rate": 6.4287374938749625e-06, + "loss": 0.5952, + "step": 6254 + }, + { + "epoch": 0.43, + "learning_rate": 6.427681551582978e-06, + "loss": 0.7439, + "step": 6255 + }, + { + "epoch": 0.43, + "learning_rate": 6.426625539958676e-06, + "loss": 0.789, + "step": 6256 + }, + { + "epoch": 0.43, + "learning_rate": 6.425569459053341e-06, + "loss": 0.8449, + "step": 6257 + }, + { + "epoch": 0.43, + "learning_rate": 6.424513308918256e-06, + "loss": 0.8773, + "step": 6258 + }, + { + "epoch": 0.43, + "learning_rate": 6.423457089604712e-06, + "loss": 0.5271, + "step": 6259 + }, + { + "epoch": 0.43, + "learning_rate": 6.422400801164004e-06, + "loss": 0.8257, + "step": 6260 + }, + { + "epoch": 0.43, + "learning_rate": 6.421344443647425e-06, + "loss": 0.8883, + "step": 6261 + }, + { + "epoch": 0.43, + "learning_rate": 6.4202880171062774e-06, + "loss": 0.7029, + "step": 6262 + }, + { + "epoch": 0.43, + "learning_rate": 6.419231521591863e-06, + "loss": 0.3911, + "step": 6263 + }, + { + "epoch": 0.43, + "learning_rate": 6.418174957155489e-06, + "loss": 0.8451, + "step": 6264 + }, + { + "epoch": 0.43, + "learning_rate": 6.417118323848465e-06, + "loss": 0.7767, + "step": 6265 + }, + { + "epoch": 0.43, + "learning_rate": 6.416061621722104e-06, + "loss": 0.5993, + "step": 6266 + }, + { + "epoch": 0.43, + "learning_rate": 6.4150048508277215e-06, + "loss": 0.6035, + "step": 6267 + }, + { + "epoch": 0.43, + "learning_rate": 6.413948011216642e-06, + "loss": 0.5519, + "step": 6268 + }, + { + "epoch": 0.43, + "learning_rate": 6.4128911029401805e-06, + "loss": 0.7093, + "step": 6269 + }, + { + "epoch": 0.43, + "learning_rate": 6.4118341260496705e-06, + "loss": 0.7129, + "step": 6270 + }, + { + "epoch": 0.43, + "learning_rate": 6.4107770805964395e-06, + "loss": 0.816, + "step": 6271 + }, + { + "epoch": 0.43, + "learning_rate": 6.40971996663182e-06, + "loss": 0.6985, + "step": 6272 + }, + { + "epoch": 0.43, + "learning_rate": 6.408662784207149e-06, + "loss": 0.8539, + "step": 6273 + }, + { + "epoch": 0.43, + "learning_rate": 6.407605533373767e-06, + "loss": 0.4858, + "step": 6274 + }, + { + "epoch": 0.43, + "learning_rate": 6.406548214183016e-06, + "loss": 0.654, + "step": 6275 + }, + { + "epoch": 0.43, + "learning_rate": 6.405490826686243e-06, + "loss": 0.7457, + "step": 6276 + }, + { + "epoch": 0.43, + "learning_rate": 6.404433370934797e-06, + "loss": 0.6961, + "step": 6277 + }, + { + "epoch": 0.43, + "learning_rate": 6.4033758469800334e-06, + "loss": 0.9222, + "step": 6278 + }, + { + "epoch": 0.43, + "learning_rate": 6.402318254873305e-06, + "loss": 0.8181, + "step": 6279 + }, + { + "epoch": 0.43, + "learning_rate": 6.401260594665975e-06, + "loss": 0.854, + "step": 6280 + }, + { + "epoch": 0.43, + "learning_rate": 6.400202866409405e-06, + "loss": 0.7192, + "step": 6281 + }, + { + "epoch": 0.43, + "learning_rate": 6.399145070154962e-06, + "loss": 0.864, + "step": 6282 + }, + { + "epoch": 0.43, + "learning_rate": 6.398087205954012e-06, + "loss": 0.8505, + "step": 6283 + }, + { + "epoch": 0.43, + "learning_rate": 6.397029273857934e-06, + "loss": 0.9964, + "step": 6284 + }, + { + "epoch": 0.43, + "learning_rate": 6.3959712739181e-06, + "loss": 0.9802, + "step": 6285 + }, + { + "epoch": 0.43, + "learning_rate": 6.39491320618589e-06, + "loss": 0.7941, + "step": 6286 + }, + { + "epoch": 0.43, + "learning_rate": 6.3938550707126865e-06, + "loss": 0.6007, + "step": 6287 + }, + { + "epoch": 0.43, + "learning_rate": 6.392796867549878e-06, + "loss": 0.5719, + "step": 6288 + }, + { + "epoch": 0.43, + "learning_rate": 6.3917385967488525e-06, + "loss": 0.8088, + "step": 6289 + }, + { + "epoch": 0.43, + "learning_rate": 6.390680258361002e-06, + "loss": 0.9308, + "step": 6290 + }, + { + "epoch": 0.43, + "learning_rate": 6.389621852437723e-06, + "loss": 0.9643, + "step": 6291 + }, + { + "epoch": 0.43, + "learning_rate": 6.388563379030415e-06, + "loss": 0.921, + "step": 6292 + }, + { + "epoch": 0.43, + "learning_rate": 6.387504838190479e-06, + "loss": 0.4388, + "step": 6293 + }, + { + "epoch": 0.43, + "learning_rate": 6.386446229969323e-06, + "loss": 0.5841, + "step": 6294 + }, + { + "epoch": 0.43, + "learning_rate": 6.385387554418357e-06, + "loss": 0.5228, + "step": 6295 + }, + { + "epoch": 0.43, + "learning_rate": 6.384328811588989e-06, + "loss": 0.5453, + "step": 6296 + }, + { + "epoch": 0.43, + "learning_rate": 6.383270001532636e-06, + "loss": 0.6579, + "step": 6297 + }, + { + "epoch": 0.43, + "learning_rate": 6.38221112430072e-06, + "loss": 0.6996, + "step": 6298 + }, + { + "epoch": 0.43, + "learning_rate": 6.38115217994466e-06, + "loss": 0.7, + "step": 6299 + }, + { + "epoch": 0.43, + "learning_rate": 6.380093168515882e-06, + "loss": 0.919, + "step": 6300 + }, + { + "epoch": 0.43, + "learning_rate": 6.379034090065816e-06, + "loss": 0.8125, + "step": 6301 + }, + { + "epoch": 0.43, + "learning_rate": 6.377974944645893e-06, + "loss": 0.6827, + "step": 6302 + }, + { + "epoch": 0.43, + "learning_rate": 6.376915732307547e-06, + "loss": 0.7387, + "step": 6303 + }, + { + "epoch": 0.43, + "learning_rate": 6.375856453102217e-06, + "loss": 0.8056, + "step": 6304 + }, + { + "epoch": 0.43, + "learning_rate": 6.374797107081347e-06, + "loss": 0.5647, + "step": 6305 + }, + { + "epoch": 0.43, + "learning_rate": 6.373737694296379e-06, + "loss": 0.6159, + "step": 6306 + }, + { + "epoch": 0.43, + "learning_rate": 6.372678214798761e-06, + "loss": 0.6712, + "step": 6307 + }, + { + "epoch": 0.43, + "learning_rate": 6.371618668639946e-06, + "loss": 0.9184, + "step": 6308 + }, + { + "epoch": 0.43, + "learning_rate": 6.370559055871389e-06, + "loss": 0.7683, + "step": 6309 + }, + { + "epoch": 0.43, + "learning_rate": 6.369499376544546e-06, + "loss": 0.7416, + "step": 6310 + }, + { + "epoch": 0.43, + "learning_rate": 6.368439630710879e-06, + "loss": 0.7332, + "step": 6311 + }, + { + "epoch": 0.43, + "learning_rate": 6.3673798184218525e-06, + "loss": 0.7588, + "step": 6312 + }, + { + "epoch": 0.43, + "learning_rate": 6.366319939728934e-06, + "loss": 0.9838, + "step": 6313 + }, + { + "epoch": 0.43, + "learning_rate": 6.365259994683594e-06, + "loss": 0.623, + "step": 6314 + }, + { + "epoch": 0.43, + "learning_rate": 6.364199983337306e-06, + "loss": 0.7596, + "step": 6315 + }, + { + "epoch": 0.43, + "learning_rate": 6.363139905741548e-06, + "loss": 0.5817, + "step": 6316 + }, + { + "epoch": 0.43, + "learning_rate": 6.3620797619478e-06, + "loss": 0.6434, + "step": 6317 + }, + { + "epoch": 0.43, + "learning_rate": 6.361019552007546e-06, + "loss": 0.8963, + "step": 6318 + }, + { + "epoch": 0.43, + "learning_rate": 6.359959275972272e-06, + "loss": 0.9683, + "step": 6319 + }, + { + "epoch": 0.43, + "learning_rate": 6.3588989338934695e-06, + "loss": 0.6678, + "step": 6320 + }, + { + "epoch": 0.43, + "learning_rate": 6.357838525822629e-06, + "loss": 0.754, + "step": 6321 + }, + { + "epoch": 0.43, + "learning_rate": 6.356778051811252e-06, + "loss": 0.8596, + "step": 6322 + }, + { + "epoch": 0.43, + "learning_rate": 6.355717511910833e-06, + "loss": 1.0279, + "step": 6323 + }, + { + "epoch": 0.43, + "learning_rate": 6.354656906172878e-06, + "loss": 0.7916, + "step": 6324 + }, + { + "epoch": 0.43, + "learning_rate": 6.353596234648891e-06, + "loss": 1.0093, + "step": 6325 + }, + { + "epoch": 0.43, + "learning_rate": 6.3525354973903815e-06, + "loss": 0.4335, + "step": 6326 + }, + { + "epoch": 0.43, + "learning_rate": 6.351474694448865e-06, + "loss": 0.9154, + "step": 6327 + }, + { + "epoch": 0.43, + "learning_rate": 6.350413825875852e-06, + "loss": 0.697, + "step": 6328 + }, + { + "epoch": 0.43, + "learning_rate": 6.3493528917228664e-06, + "loss": 0.8433, + "step": 6329 + }, + { + "epoch": 0.43, + "learning_rate": 6.348291892041427e-06, + "loss": 0.7312, + "step": 6330 + }, + { + "epoch": 0.43, + "learning_rate": 6.34723082688306e-06, + "loss": 0.618, + "step": 6331 + }, + { + "epoch": 0.43, + "learning_rate": 6.346169696299294e-06, + "loss": 1.0115, + "step": 6332 + }, + { + "epoch": 0.43, + "learning_rate": 6.3451085003416604e-06, + "loss": 0.5473, + "step": 6333 + }, + { + "epoch": 0.43, + "learning_rate": 6.3440472390616925e-06, + "loss": 0.6627, + "step": 6334 + }, + { + "epoch": 0.43, + "learning_rate": 6.342985912510929e-06, + "loss": 0.5446, + "step": 6335 + }, + { + "epoch": 0.43, + "learning_rate": 6.341924520740914e-06, + "loss": 0.6961, + "step": 6336 + }, + { + "epoch": 0.43, + "learning_rate": 6.340863063803187e-06, + "loss": 0.6359, + "step": 6337 + }, + { + "epoch": 0.43, + "learning_rate": 6.3398015417493e-06, + "loss": 0.6083, + "step": 6338 + }, + { + "epoch": 0.43, + "learning_rate": 6.3387399546308e-06, + "loss": 0.7645, + "step": 6339 + }, + { + "epoch": 0.43, + "learning_rate": 6.337678302499239e-06, + "loss": 0.8401, + "step": 6340 + }, + { + "epoch": 0.43, + "learning_rate": 6.33661658540618e-06, + "loss": 0.668, + "step": 6341 + }, + { + "epoch": 0.43, + "learning_rate": 6.335554803403179e-06, + "loss": 0.717, + "step": 6342 + }, + { + "epoch": 0.43, + "learning_rate": 6.3344929565418e-06, + "loss": 1.0715, + "step": 6343 + }, + { + "epoch": 0.43, + "learning_rate": 6.333431044873609e-06, + "loss": 0.6997, + "step": 6344 + }, + { + "epoch": 0.43, + "learning_rate": 6.332369068450175e-06, + "loss": 0.6875, + "step": 6345 + }, + { + "epoch": 0.43, + "learning_rate": 6.331307027323073e-06, + "loss": 0.5394, + "step": 6346 + }, + { + "epoch": 0.43, + "learning_rate": 6.330244921543876e-06, + "loss": 0.8633, + "step": 6347 + }, + { + "epoch": 0.43, + "learning_rate": 6.329182751164164e-06, + "loss": 0.6159, + "step": 6348 + }, + { + "epoch": 0.43, + "learning_rate": 6.328120516235521e-06, + "loss": 0.8185, + "step": 6349 + }, + { + "epoch": 0.43, + "learning_rate": 6.327058216809529e-06, + "loss": 0.6181, + "step": 6350 + }, + { + "epoch": 0.43, + "learning_rate": 6.325995852937776e-06, + "loss": 0.7501, + "step": 6351 + }, + { + "epoch": 0.43, + "learning_rate": 6.3249334246718575e-06, + "loss": 0.7702, + "step": 6352 + }, + { + "epoch": 0.43, + "learning_rate": 6.323870932063364e-06, + "loss": 0.8205, + "step": 6353 + }, + { + "epoch": 0.43, + "learning_rate": 6.322808375163896e-06, + "loss": 0.5059, + "step": 6354 + }, + { + "epoch": 0.43, + "learning_rate": 6.3217457540250516e-06, + "loss": 0.9864, + "step": 6355 + }, + { + "epoch": 0.43, + "learning_rate": 6.3206830686984366e-06, + "loss": 0.621, + "step": 6356 + }, + { + "epoch": 0.43, + "learning_rate": 6.319620319235658e-06, + "loss": 0.8313, + "step": 6357 + }, + { + "epoch": 0.43, + "learning_rate": 6.318557505688327e-06, + "loss": 0.9566, + "step": 6358 + }, + { + "epoch": 0.43, + "learning_rate": 6.317494628108054e-06, + "loss": 0.6336, + "step": 6359 + }, + { + "epoch": 0.43, + "learning_rate": 6.316431686546458e-06, + "loss": 0.8941, + "step": 6360 + }, + { + "epoch": 0.43, + "learning_rate": 6.315368681055157e-06, + "loss": 0.9444, + "step": 6361 + }, + { + "epoch": 0.43, + "learning_rate": 6.314305611685774e-06, + "loss": 0.6291, + "step": 6362 + }, + { + "epoch": 0.43, + "learning_rate": 6.313242478489934e-06, + "loss": 0.6875, + "step": 6363 + }, + { + "epoch": 0.43, + "learning_rate": 6.312179281519268e-06, + "loss": 0.9125, + "step": 6364 + }, + { + "epoch": 0.43, + "learning_rate": 6.311116020825405e-06, + "loss": 1.0869, + "step": 6365 + }, + { + "epoch": 0.43, + "learning_rate": 6.3100526964599815e-06, + "loss": 0.6384, + "step": 6366 + }, + { + "epoch": 0.43, + "learning_rate": 6.308989308474636e-06, + "loss": 0.7996, + "step": 6367 + }, + { + "epoch": 0.43, + "learning_rate": 6.30792585692101e-06, + "loss": 0.5724, + "step": 6368 + }, + { + "epoch": 0.43, + "learning_rate": 6.306862341850746e-06, + "loss": 0.7798, + "step": 6369 + }, + { + "epoch": 0.43, + "learning_rate": 6.3057987633154915e-06, + "loss": 0.8157, + "step": 6370 + }, + { + "epoch": 0.43, + "learning_rate": 6.3047351213669006e-06, + "loss": 0.7424, + "step": 6371 + }, + { + "epoch": 0.43, + "learning_rate": 6.3036714160566216e-06, + "loss": 0.7857, + "step": 6372 + }, + { + "epoch": 0.43, + "learning_rate": 6.302607647436312e-06, + "loss": 0.7741, + "step": 6373 + }, + { + "epoch": 0.43, + "learning_rate": 6.301543815557636e-06, + "loss": 1.0886, + "step": 6374 + }, + { + "epoch": 0.43, + "learning_rate": 6.300479920472252e-06, + "loss": 0.7751, + "step": 6375 + }, + { + "epoch": 0.43, + "learning_rate": 6.299415962231827e-06, + "loss": 0.5069, + "step": 6376 + }, + { + "epoch": 0.43, + "learning_rate": 6.29835194088803e-06, + "loss": 0.6952, + "step": 6377 + }, + { + "epoch": 0.43, + "learning_rate": 6.2972878564925325e-06, + "loss": 1.0343, + "step": 6378 + }, + { + "epoch": 0.43, + "learning_rate": 6.296223709097009e-06, + "loss": 0.7019, + "step": 6379 + }, + { + "epoch": 0.43, + "learning_rate": 6.295159498753141e-06, + "loss": 0.9095, + "step": 6380 + }, + { + "epoch": 0.43, + "learning_rate": 6.294095225512604e-06, + "loss": 0.8872, + "step": 6381 + }, + { + "epoch": 0.43, + "learning_rate": 6.293030889427088e-06, + "loss": 0.6873, + "step": 6382 + }, + { + "epoch": 0.43, + "learning_rate": 6.2919664905482745e-06, + "loss": 0.7465, + "step": 6383 + }, + { + "epoch": 0.43, + "learning_rate": 6.290902028927858e-06, + "loss": 0.6835, + "step": 6384 + }, + { + "epoch": 0.43, + "learning_rate": 6.289837504617531e-06, + "loss": 0.853, + "step": 6385 + }, + { + "epoch": 0.43, + "learning_rate": 6.28877291766899e-06, + "loss": 0.7831, + "step": 6386 + }, + { + "epoch": 0.43, + "learning_rate": 6.287708268133932e-06, + "loss": 0.9107, + "step": 6387 + }, + { + "epoch": 0.43, + "learning_rate": 6.28664355606406e-06, + "loss": 0.871, + "step": 6388 + }, + { + "epoch": 0.43, + "learning_rate": 6.285578781511083e-06, + "loss": 0.6911, + "step": 6389 + }, + { + "epoch": 0.43, + "learning_rate": 6.284513944526707e-06, + "loss": 0.5974, + "step": 6390 + }, + { + "epoch": 0.43, + "learning_rate": 6.283449045162642e-06, + "loss": 0.785, + "step": 6391 + }, + { + "epoch": 0.43, + "learning_rate": 6.282384083470605e-06, + "loss": 1.0211, + "step": 6392 + }, + { + "epoch": 0.43, + "learning_rate": 6.2813190595023135e-06, + "loss": 0.7341, + "step": 6393 + }, + { + "epoch": 0.44, + "learning_rate": 6.280253973309487e-06, + "loss": 1.0983, + "step": 6394 + }, + { + "epoch": 0.44, + "learning_rate": 6.279188824943851e-06, + "loss": 0.6979, + "step": 6395 + }, + { + "epoch": 0.44, + "learning_rate": 6.27812361445713e-06, + "loss": 0.8564, + "step": 6396 + }, + { + "epoch": 0.44, + "learning_rate": 6.2770583419010525e-06, + "loss": 0.777, + "step": 6397 + }, + { + "epoch": 0.44, + "learning_rate": 6.275993007327356e-06, + "loss": 0.7151, + "step": 6398 + }, + { + "epoch": 0.44, + "learning_rate": 6.274927610787771e-06, + "loss": 1.0836, + "step": 6399 + }, + { + "epoch": 0.44, + "learning_rate": 6.27386215233404e-06, + "loss": 0.7658, + "step": 6400 + }, + { + "epoch": 0.44, + "learning_rate": 6.272796632017902e-06, + "loss": 0.5836, + "step": 6401 + }, + { + "epoch": 0.44, + "learning_rate": 6.271731049891104e-06, + "loss": 0.8584, + "step": 6402 + }, + { + "epoch": 0.44, + "learning_rate": 6.270665406005393e-06, + "loss": 0.4427, + "step": 6403 + }, + { + "epoch": 0.44, + "learning_rate": 6.26959970041252e-06, + "loss": 0.6926, + "step": 6404 + }, + { + "epoch": 0.44, + "learning_rate": 6.268533933164237e-06, + "loss": 0.53, + "step": 6405 + }, + { + "epoch": 0.44, + "learning_rate": 6.267468104312303e-06, + "loss": 0.849, + "step": 6406 + }, + { + "epoch": 0.44, + "learning_rate": 6.266402213908474e-06, + "loss": 0.6271, + "step": 6407 + }, + { + "epoch": 0.44, + "learning_rate": 6.265336262004518e-06, + "loss": 0.8083, + "step": 6408 + }, + { + "epoch": 0.44, + "learning_rate": 6.264270248652199e-06, + "loss": 0.7904, + "step": 6409 + }, + { + "epoch": 0.44, + "learning_rate": 6.263204173903282e-06, + "loss": 0.7846, + "step": 6410 + }, + { + "epoch": 0.44, + "learning_rate": 6.262138037809542e-06, + "loss": 0.5522, + "step": 6411 + }, + { + "epoch": 0.44, + "learning_rate": 6.2610718404227546e-06, + "loss": 0.9341, + "step": 6412 + }, + { + "epoch": 0.44, + "learning_rate": 6.260005581794695e-06, + "loss": 0.7207, + "step": 6413 + }, + { + "epoch": 0.44, + "learning_rate": 6.2589392619771435e-06, + "loss": 0.7612, + "step": 6414 + }, + { + "epoch": 0.44, + "learning_rate": 6.257872881021886e-06, + "loss": 0.7031, + "step": 6415 + }, + { + "epoch": 0.44, + "learning_rate": 6.256806438980707e-06, + "loss": 0.8063, + "step": 6416 + }, + { + "epoch": 0.44, + "learning_rate": 6.255739935905396e-06, + "loss": 0.6669, + "step": 6417 + }, + { + "epoch": 0.44, + "learning_rate": 6.254673371847748e-06, + "loss": 0.5289, + "step": 6418 + }, + { + "epoch": 0.44, + "learning_rate": 6.253606746859555e-06, + "loss": 0.7916, + "step": 6419 + }, + { + "epoch": 0.44, + "learning_rate": 6.252540060992619e-06, + "loss": 0.8885, + "step": 6420 + }, + { + "epoch": 0.44, + "learning_rate": 6.251473314298737e-06, + "loss": 0.7087, + "step": 6421 + }, + { + "epoch": 0.44, + "learning_rate": 6.250406506829717e-06, + "loss": 0.6393, + "step": 6422 + }, + { + "epoch": 0.44, + "learning_rate": 6.249339638637365e-06, + "loss": 0.856, + "step": 6423 + }, + { + "epoch": 0.44, + "learning_rate": 6.248272709773491e-06, + "loss": 0.714, + "step": 6424 + }, + { + "epoch": 0.44, + "learning_rate": 6.247205720289907e-06, + "loss": 0.7585, + "step": 6425 + }, + { + "epoch": 0.44, + "learning_rate": 6.2461386702384306e-06, + "loss": 0.5375, + "step": 6426 + }, + { + "epoch": 0.44, + "learning_rate": 6.245071559670881e-06, + "loss": 0.6691, + "step": 6427 + }, + { + "epoch": 0.44, + "learning_rate": 6.24400438863908e-06, + "loss": 0.755, + "step": 6428 + }, + { + "epoch": 0.44, + "learning_rate": 6.242937157194851e-06, + "loss": 1.0376, + "step": 6429 + }, + { + "epoch": 0.44, + "learning_rate": 6.241869865390024e-06, + "loss": 0.614, + "step": 6430 + }, + { + "epoch": 0.44, + "learning_rate": 6.240802513276427e-06, + "loss": 0.7329, + "step": 6431 + }, + { + "epoch": 0.44, + "learning_rate": 6.239735100905897e-06, + "loss": 0.7819, + "step": 6432 + }, + { + "epoch": 0.44, + "learning_rate": 6.238667628330269e-06, + "loss": 1.0911, + "step": 6433 + }, + { + "epoch": 0.44, + "learning_rate": 6.237600095601382e-06, + "loss": 0.7194, + "step": 6434 + }, + { + "epoch": 0.44, + "learning_rate": 6.236532502771078e-06, + "loss": 0.648, + "step": 6435 + }, + { + "epoch": 0.44, + "learning_rate": 6.235464849891205e-06, + "loss": 0.5194, + "step": 6436 + }, + { + "epoch": 0.44, + "learning_rate": 6.234397137013608e-06, + "loss": 0.553, + "step": 6437 + }, + { + "epoch": 0.44, + "learning_rate": 6.2333293641901414e-06, + "loss": 0.5425, + "step": 6438 + }, + { + "epoch": 0.44, + "learning_rate": 6.232261531472656e-06, + "loss": 0.7689, + "step": 6439 + }, + { + "epoch": 0.44, + "learning_rate": 6.231193638913012e-06, + "loss": 0.9868, + "step": 6440 + }, + { + "epoch": 0.44, + "learning_rate": 6.230125686563068e-06, + "loss": 0.8181, + "step": 6441 + }, + { + "epoch": 0.44, + "learning_rate": 6.2290576744746855e-06, + "loss": 1.0289, + "step": 6442 + }, + { + "epoch": 0.44, + "learning_rate": 6.227989602699732e-06, + "loss": 0.5704, + "step": 6443 + }, + { + "epoch": 0.44, + "learning_rate": 6.2269214712900776e-06, + "loss": 0.6919, + "step": 6444 + }, + { + "epoch": 0.44, + "learning_rate": 6.225853280297588e-06, + "loss": 0.5447, + "step": 6445 + }, + { + "epoch": 0.44, + "learning_rate": 6.224785029774143e-06, + "loss": 0.805, + "step": 6446 + }, + { + "epoch": 0.44, + "learning_rate": 6.2237167197716195e-06, + "loss": 0.6123, + "step": 6447 + }, + { + "epoch": 0.44, + "learning_rate": 6.222648350341897e-06, + "loss": 1.0211, + "step": 6448 + }, + { + "epoch": 0.44, + "learning_rate": 6.221579921536856e-06, + "loss": 0.967, + "step": 6449 + }, + { + "epoch": 0.44, + "learning_rate": 6.220511433408386e-06, + "loss": 0.7001, + "step": 6450 + }, + { + "epoch": 0.44, + "learning_rate": 6.219442886008375e-06, + "loss": 0.5883, + "step": 6451 + }, + { + "epoch": 0.44, + "learning_rate": 6.218374279388713e-06, + "loss": 0.6906, + "step": 6452 + }, + { + "epoch": 0.44, + "learning_rate": 6.217305613601296e-06, + "loss": 0.7633, + "step": 6453 + }, + { + "epoch": 0.44, + "learning_rate": 6.216236888698021e-06, + "loss": 0.9152, + "step": 6454 + }, + { + "epoch": 0.44, + "learning_rate": 6.215168104730788e-06, + "loss": 0.783, + "step": 6455 + }, + { + "epoch": 0.44, + "learning_rate": 6.214099261751503e-06, + "loss": 0.6008, + "step": 6456 + }, + { + "epoch": 0.44, + "learning_rate": 6.213030359812069e-06, + "loss": 0.7602, + "step": 6457 + }, + { + "epoch": 0.44, + "learning_rate": 6.211961398964397e-06, + "loss": 0.8006, + "step": 6458 + }, + { + "epoch": 0.44, + "learning_rate": 6.2108923792603945e-06, + "loss": 0.7812, + "step": 6459 + }, + { + "epoch": 0.44, + "learning_rate": 6.209823300751983e-06, + "loss": 0.7074, + "step": 6460 + }, + { + "epoch": 0.44, + "learning_rate": 6.208754163491075e-06, + "loss": 0.6191, + "step": 6461 + }, + { + "epoch": 0.44, + "learning_rate": 6.207684967529592e-06, + "loss": 0.7356, + "step": 6462 + }, + { + "epoch": 0.44, + "learning_rate": 6.206615712919458e-06, + "loss": 0.8401, + "step": 6463 + }, + { + "epoch": 0.44, + "learning_rate": 6.205546399712599e-06, + "loss": 0.733, + "step": 6464 + }, + { + "epoch": 0.44, + "learning_rate": 6.204477027960942e-06, + "loss": 0.5745, + "step": 6465 + }, + { + "epoch": 0.44, + "learning_rate": 6.203407597716421e-06, + "loss": 0.8018, + "step": 6466 + }, + { + "epoch": 0.44, + "learning_rate": 6.20233810903097e-06, + "loss": 0.6075, + "step": 6467 + }, + { + "epoch": 0.44, + "learning_rate": 6.201268561956526e-06, + "loss": 0.819, + "step": 6468 + }, + { + "epoch": 0.44, + "learning_rate": 6.2001989565450305e-06, + "loss": 0.8192, + "step": 6469 + }, + { + "epoch": 0.44, + "learning_rate": 6.199129292848425e-06, + "loss": 0.6692, + "step": 6470 + }, + { + "epoch": 0.44, + "learning_rate": 6.198059570918656e-06, + "loss": 0.6706, + "step": 6471 + }, + { + "epoch": 0.44, + "learning_rate": 6.196989790807674e-06, + "loss": 0.9641, + "step": 6472 + }, + { + "epoch": 0.44, + "learning_rate": 6.195919952567426e-06, + "loss": 0.8272, + "step": 6473 + }, + { + "epoch": 0.44, + "learning_rate": 6.194850056249873e-06, + "loss": 0.7517, + "step": 6474 + }, + { + "epoch": 0.44, + "learning_rate": 6.193780101906967e-06, + "loss": 0.7122, + "step": 6475 + }, + { + "epoch": 0.44, + "learning_rate": 6.192710089590669e-06, + "loss": 0.9842, + "step": 6476 + }, + { + "epoch": 0.44, + "learning_rate": 6.191640019352942e-06, + "loss": 0.9487, + "step": 6477 + }, + { + "epoch": 0.44, + "learning_rate": 6.1905698912457546e-06, + "loss": 0.729, + "step": 6478 + }, + { + "epoch": 0.44, + "learning_rate": 6.189499705321073e-06, + "loss": 0.7684, + "step": 6479 + }, + { + "epoch": 0.44, + "learning_rate": 6.188429461630866e-06, + "loss": 0.8886, + "step": 6480 + }, + { + "epoch": 0.44, + "learning_rate": 6.187359160227111e-06, + "loss": 0.7174, + "step": 6481 + }, + { + "epoch": 0.44, + "learning_rate": 6.186288801161786e-06, + "loss": 0.6443, + "step": 6482 + }, + { + "epoch": 0.44, + "learning_rate": 6.185218384486866e-06, + "loss": 0.6454, + "step": 6483 + }, + { + "epoch": 0.44, + "learning_rate": 6.184147910254339e-06, + "loss": 0.8527, + "step": 6484 + }, + { + "epoch": 0.44, + "learning_rate": 6.183077378516187e-06, + "loss": 0.9292, + "step": 6485 + }, + { + "epoch": 0.44, + "learning_rate": 6.182006789324399e-06, + "loss": 0.7198, + "step": 6486 + }, + { + "epoch": 0.44, + "learning_rate": 6.180936142730964e-06, + "loss": 0.73, + "step": 6487 + }, + { + "epoch": 0.44, + "learning_rate": 6.179865438787878e-06, + "loss": 0.8238, + "step": 6488 + }, + { + "epoch": 0.44, + "learning_rate": 6.178794677547138e-06, + "loss": 0.8519, + "step": 6489 + }, + { + "epoch": 0.44, + "learning_rate": 6.17772385906074e-06, + "loss": 0.835, + "step": 6490 + }, + { + "epoch": 0.44, + "learning_rate": 6.176652983380689e-06, + "loss": 0.9483, + "step": 6491 + }, + { + "epoch": 0.44, + "learning_rate": 6.175582050558988e-06, + "loss": 0.5271, + "step": 6492 + }, + { + "epoch": 0.44, + "learning_rate": 6.174511060647648e-06, + "loss": 0.5013, + "step": 6493 + }, + { + "epoch": 0.44, + "learning_rate": 6.173440013698673e-06, + "loss": 0.7922, + "step": 6494 + }, + { + "epoch": 0.44, + "learning_rate": 6.1723689097640815e-06, + "loss": 0.5872, + "step": 6495 + }, + { + "epoch": 0.44, + "learning_rate": 6.171297748895889e-06, + "loss": 0.868, + "step": 6496 + }, + { + "epoch": 0.44, + "learning_rate": 6.170226531146111e-06, + "loss": 0.6441, + "step": 6497 + }, + { + "epoch": 0.44, + "learning_rate": 6.169155256566772e-06, + "loss": 0.6549, + "step": 6498 + }, + { + "epoch": 0.44, + "learning_rate": 6.168083925209896e-06, + "loss": 0.5832, + "step": 6499 + }, + { + "epoch": 0.44, + "learning_rate": 6.167012537127507e-06, + "loss": 0.8318, + "step": 6500 + }, + { + "epoch": 0.44, + "learning_rate": 6.165941092371637e-06, + "loss": 0.7915, + "step": 6501 + }, + { + "epoch": 0.44, + "learning_rate": 6.164869590994318e-06, + "loss": 0.7076, + "step": 6502 + }, + { + "epoch": 0.44, + "learning_rate": 6.163798033047586e-06, + "loss": 0.7839, + "step": 6503 + }, + { + "epoch": 0.44, + "learning_rate": 6.162726418583477e-06, + "loss": 0.9583, + "step": 6504 + }, + { + "epoch": 0.44, + "learning_rate": 6.161654747654033e-06, + "loss": 0.679, + "step": 6505 + }, + { + "epoch": 0.44, + "learning_rate": 6.160583020311297e-06, + "loss": 0.849, + "step": 6506 + }, + { + "epoch": 0.44, + "learning_rate": 6.1595112366073164e-06, + "loss": 0.3912, + "step": 6507 + }, + { + "epoch": 0.44, + "learning_rate": 6.158439396594138e-06, + "loss": 0.8061, + "step": 6508 + }, + { + "epoch": 0.44, + "learning_rate": 6.157367500323816e-06, + "loss": 0.8793, + "step": 6509 + }, + { + "epoch": 0.44, + "learning_rate": 6.156295547848403e-06, + "loss": 0.9616, + "step": 6510 + }, + { + "epoch": 0.44, + "learning_rate": 6.155223539219954e-06, + "loss": 0.9599, + "step": 6511 + }, + { + "epoch": 0.44, + "learning_rate": 6.154151474490534e-06, + "loss": 0.868, + "step": 6512 + }, + { + "epoch": 0.44, + "learning_rate": 6.153079353712201e-06, + "loss": 0.5217, + "step": 6513 + }, + { + "epoch": 0.44, + "learning_rate": 6.152007176937024e-06, + "loss": 0.4802, + "step": 6514 + }, + { + "epoch": 0.44, + "learning_rate": 6.150934944217067e-06, + "loss": 1.0783, + "step": 6515 + }, + { + "epoch": 0.44, + "learning_rate": 6.149862655604404e-06, + "loss": 0.7079, + "step": 6516 + }, + { + "epoch": 0.44, + "learning_rate": 6.148790311151107e-06, + "loss": 0.7676, + "step": 6517 + }, + { + "epoch": 0.44, + "learning_rate": 6.14771791090925e-06, + "loss": 0.7164, + "step": 6518 + }, + { + "epoch": 0.44, + "learning_rate": 6.146645454930916e-06, + "loss": 0.7821, + "step": 6519 + }, + { + "epoch": 0.44, + "learning_rate": 6.145572943268186e-06, + "loss": 0.7518, + "step": 6520 + }, + { + "epoch": 0.44, + "learning_rate": 6.14450037597314e-06, + "loss": 0.5218, + "step": 6521 + }, + { + "epoch": 0.44, + "learning_rate": 6.143427753097868e-06, + "loss": 1.0171, + "step": 6522 + }, + { + "epoch": 0.44, + "learning_rate": 6.142355074694461e-06, + "loss": 0.8348, + "step": 6523 + }, + { + "epoch": 0.44, + "learning_rate": 6.141282340815009e-06, + "loss": 0.8759, + "step": 6524 + }, + { + "epoch": 0.44, + "learning_rate": 6.140209551511609e-06, + "loss": 0.7661, + "step": 6525 + }, + { + "epoch": 0.44, + "learning_rate": 6.139136706836356e-06, + "loss": 0.8384, + "step": 6526 + }, + { + "epoch": 0.44, + "learning_rate": 6.138063806841353e-06, + "loss": 0.9669, + "step": 6527 + }, + { + "epoch": 0.44, + "learning_rate": 6.136990851578701e-06, + "loss": 0.7196, + "step": 6528 + }, + { + "epoch": 0.44, + "learning_rate": 6.135917841100508e-06, + "loss": 0.5947, + "step": 6529 + }, + { + "epoch": 0.44, + "learning_rate": 6.1348447754588805e-06, + "loss": 0.6676, + "step": 6530 + }, + { + "epoch": 0.44, + "learning_rate": 6.133771654705932e-06, + "loss": 0.6735, + "step": 6531 + }, + { + "epoch": 0.44, + "learning_rate": 6.132698478893773e-06, + "loss": 0.7134, + "step": 6532 + }, + { + "epoch": 0.44, + "learning_rate": 6.131625248074522e-06, + "loss": 0.768, + "step": 6533 + }, + { + "epoch": 0.44, + "learning_rate": 6.1305519623003e-06, + "loss": 0.4865, + "step": 6534 + }, + { + "epoch": 0.44, + "learning_rate": 6.129478621623224e-06, + "loss": 0.8604, + "step": 6535 + }, + { + "epoch": 0.44, + "learning_rate": 6.128405226095424e-06, + "loss": 0.8683, + "step": 6536 + }, + { + "epoch": 0.44, + "learning_rate": 6.127331775769023e-06, + "loss": 0.8418, + "step": 6537 + }, + { + "epoch": 0.44, + "learning_rate": 6.126258270696152e-06, + "loss": 1.1099, + "step": 6538 + }, + { + "epoch": 0.44, + "learning_rate": 6.125184710928945e-06, + "loss": 0.8731, + "step": 6539 + }, + { + "epoch": 0.44, + "learning_rate": 6.124111096519536e-06, + "loss": 0.5684, + "step": 6540 + }, + { + "epoch": 0.45, + "learning_rate": 6.123037427520062e-06, + "loss": 0.7985, + "step": 6541 + }, + { + "epoch": 0.45, + "learning_rate": 6.121963703982664e-06, + "loss": 0.5942, + "step": 6542 + }, + { + "epoch": 0.45, + "learning_rate": 6.120889925959486e-06, + "loss": 0.7888, + "step": 6543 + }, + { + "epoch": 0.45, + "learning_rate": 6.119816093502674e-06, + "loss": 0.6764, + "step": 6544 + }, + { + "epoch": 0.45, + "learning_rate": 6.118742206664373e-06, + "loss": 0.7317, + "step": 6545 + }, + { + "epoch": 0.45, + "learning_rate": 6.117668265496738e-06, + "loss": 0.9297, + "step": 6546 + }, + { + "epoch": 0.45, + "learning_rate": 6.116594270051922e-06, + "loss": 0.7045, + "step": 6547 + }, + { + "epoch": 0.45, + "learning_rate": 6.11552022038208e-06, + "loss": 0.6808, + "step": 6548 + }, + { + "epoch": 0.45, + "learning_rate": 6.114446116539369e-06, + "loss": 0.7282, + "step": 6549 + }, + { + "epoch": 0.45, + "learning_rate": 6.113371958575955e-06, + "loss": 0.8669, + "step": 6550 + }, + { + "epoch": 0.45, + "learning_rate": 6.112297746544e-06, + "loss": 0.8887, + "step": 6551 + }, + { + "epoch": 0.45, + "learning_rate": 6.1112234804956715e-06, + "loss": 0.9118, + "step": 6552 + }, + { + "epoch": 0.45, + "learning_rate": 6.110149160483139e-06, + "loss": 0.9439, + "step": 6553 + }, + { + "epoch": 0.45, + "learning_rate": 6.109074786558572e-06, + "loss": 0.6094, + "step": 6554 + }, + { + "epoch": 0.45, + "learning_rate": 6.10800035877415e-06, + "loss": 0.9245, + "step": 6555 + }, + { + "epoch": 0.45, + "learning_rate": 6.106925877182044e-06, + "loss": 0.8637, + "step": 6556 + }, + { + "epoch": 0.45, + "learning_rate": 6.105851341834439e-06, + "loss": 0.6603, + "step": 6557 + }, + { + "epoch": 0.45, + "learning_rate": 6.104776752783518e-06, + "loss": 0.7839, + "step": 6558 + }, + { + "epoch": 0.45, + "learning_rate": 6.10370211008146e-06, + "loss": 0.7521, + "step": 6559 + }, + { + "epoch": 0.45, + "learning_rate": 6.10262741378046e-06, + "loss": 0.8255, + "step": 6560 + }, + { + "epoch": 0.45, + "learning_rate": 6.101552663932704e-06, + "loss": 0.7852, + "step": 6561 + }, + { + "epoch": 0.45, + "learning_rate": 6.100477860590386e-06, + "loss": 0.9679, + "step": 6562 + }, + { + "epoch": 0.45, + "learning_rate": 6.0994030038057015e-06, + "loss": 0.602, + "step": 6563 + }, + { + "epoch": 0.45, + "learning_rate": 6.09832809363085e-06, + "loss": 0.8781, + "step": 6564 + }, + { + "epoch": 0.45, + "learning_rate": 6.097253130118029e-06, + "loss": 1.1827, + "step": 6565 + }, + { + "epoch": 0.45, + "learning_rate": 6.096178113319446e-06, + "loss": 0.6747, + "step": 6566 + }, + { + "epoch": 0.45, + "learning_rate": 6.095103043287303e-06, + "loss": 0.9304, + "step": 6567 + }, + { + "epoch": 0.45, + "learning_rate": 6.0940279200738105e-06, + "loss": 0.7801, + "step": 6568 + }, + { + "epoch": 0.45, + "learning_rate": 6.092952743731179e-06, + "loss": 0.6085, + "step": 6569 + }, + { + "epoch": 0.45, + "learning_rate": 6.091877514311623e-06, + "loss": 0.7435, + "step": 6570 + }, + { + "epoch": 0.45, + "learning_rate": 6.090802231867358e-06, + "loss": 0.6527, + "step": 6571 + }, + { + "epoch": 0.45, + "learning_rate": 6.089726896450604e-06, + "loss": 0.5868, + "step": 6572 + }, + { + "epoch": 0.45, + "learning_rate": 6.088651508113579e-06, + "loss": 0.5246, + "step": 6573 + }, + { + "epoch": 0.45, + "learning_rate": 6.087576066908512e-06, + "loss": 0.7022, + "step": 6574 + }, + { + "epoch": 0.45, + "learning_rate": 6.0865005728876245e-06, + "loss": 0.8465, + "step": 6575 + }, + { + "epoch": 0.45, + "learning_rate": 6.085425026103149e-06, + "loss": 0.9057, + "step": 6576 + }, + { + "epoch": 0.45, + "learning_rate": 6.084349426607314e-06, + "loss": 0.7398, + "step": 6577 + }, + { + "epoch": 0.45, + "learning_rate": 6.083273774452359e-06, + "loss": 0.6375, + "step": 6578 + }, + { + "epoch": 0.45, + "learning_rate": 6.0821980696905145e-06, + "loss": 0.7611, + "step": 6579 + }, + { + "epoch": 0.45, + "learning_rate": 6.081122312374025e-06, + "loss": 0.4623, + "step": 6580 + }, + { + "epoch": 0.45, + "learning_rate": 6.080046502555129e-06, + "loss": 0.5389, + "step": 6581 + }, + { + "epoch": 0.45, + "learning_rate": 6.078970640286073e-06, + "loss": 0.8338, + "step": 6582 + }, + { + "epoch": 0.45, + "learning_rate": 6.0778947256191016e-06, + "loss": 0.5008, + "step": 6583 + }, + { + "epoch": 0.45, + "learning_rate": 6.076818758606467e-06, + "loss": 0.9076, + "step": 6584 + }, + { + "epoch": 0.45, + "learning_rate": 6.07574273930042e-06, + "loss": 0.8693, + "step": 6585 + }, + { + "epoch": 0.45, + "learning_rate": 6.074666667753214e-06, + "loss": 0.8002, + "step": 6586 + }, + { + "epoch": 0.45, + "learning_rate": 6.073590544017107e-06, + "loss": 0.6423, + "step": 6587 + }, + { + "epoch": 0.45, + "learning_rate": 6.072514368144361e-06, + "loss": 0.6828, + "step": 6588 + }, + { + "epoch": 0.45, + "learning_rate": 6.071438140187235e-06, + "loss": 0.9357, + "step": 6589 + }, + { + "epoch": 0.45, + "learning_rate": 6.0703618601979944e-06, + "loss": 0.814, + "step": 6590 + }, + { + "epoch": 0.45, + "learning_rate": 6.069285528228908e-06, + "loss": 0.8468, + "step": 6591 + }, + { + "epoch": 0.45, + "learning_rate": 6.0682091443322435e-06, + "loss": 0.8143, + "step": 6592 + }, + { + "epoch": 0.45, + "learning_rate": 6.0671327085602746e-06, + "loss": 0.8107, + "step": 6593 + }, + { + "epoch": 0.45, + "learning_rate": 6.066056220965275e-06, + "loss": 0.6712, + "step": 6594 + }, + { + "epoch": 0.45, + "learning_rate": 6.064979681599523e-06, + "loss": 0.6133, + "step": 6595 + }, + { + "epoch": 0.45, + "learning_rate": 6.0639030905153e-06, + "loss": 0.9102, + "step": 6596 + }, + { + "epoch": 0.45, + "learning_rate": 6.062826447764883e-06, + "loss": 0.6619, + "step": 6597 + }, + { + "epoch": 0.45, + "learning_rate": 6.061749753400563e-06, + "loss": 0.6591, + "step": 6598 + }, + { + "epoch": 0.45, + "learning_rate": 6.060673007474624e-06, + "loss": 0.676, + "step": 6599 + }, + { + "epoch": 0.45, + "learning_rate": 6.059596210039358e-06, + "loss": 0.5719, + "step": 6600 + }, + { + "epoch": 0.45, + "learning_rate": 6.058519361147055e-06, + "loss": 1.0816, + "step": 6601 + }, + { + "epoch": 0.45, + "learning_rate": 6.05744246085001e-06, + "loss": 0.6556, + "step": 6602 + }, + { + "epoch": 0.45, + "learning_rate": 6.056365509200523e-06, + "loss": 0.745, + "step": 6603 + }, + { + "epoch": 0.45, + "learning_rate": 6.05528850625089e-06, + "loss": 0.8168, + "step": 6604 + }, + { + "epoch": 0.45, + "learning_rate": 6.0542114520534165e-06, + "loss": 0.7067, + "step": 6605 + }, + { + "epoch": 0.45, + "learning_rate": 6.053134346660407e-06, + "loss": 0.6524, + "step": 6606 + }, + { + "epoch": 0.45, + "learning_rate": 6.052057190124169e-06, + "loss": 1.145, + "step": 6607 + }, + { + "epoch": 0.45, + "learning_rate": 6.050979982497008e-06, + "loss": 0.9643, + "step": 6608 + }, + { + "epoch": 0.45, + "learning_rate": 6.049902723831243e-06, + "loss": 0.7383, + "step": 6609 + }, + { + "epoch": 0.45, + "learning_rate": 6.048825414179184e-06, + "loss": 0.8257, + "step": 6610 + }, + { + "epoch": 0.45, + "learning_rate": 6.0477480535931495e-06, + "loss": 0.9355, + "step": 6611 + }, + { + "epoch": 0.45, + "learning_rate": 6.046670642125461e-06, + "loss": 0.6973, + "step": 6612 + }, + { + "epoch": 0.45, + "learning_rate": 6.045593179828438e-06, + "loss": 0.4176, + "step": 6613 + }, + { + "epoch": 0.45, + "learning_rate": 6.044515666754407e-06, + "loss": 0.8168, + "step": 6614 + }, + { + "epoch": 0.45, + "learning_rate": 6.0434381029556945e-06, + "loss": 0.8592, + "step": 6615 + }, + { + "epoch": 0.45, + "learning_rate": 6.04236048848463e-06, + "loss": 0.6276, + "step": 6616 + }, + { + "epoch": 0.45, + "learning_rate": 6.041282823393546e-06, + "loss": 0.6642, + "step": 6617 + }, + { + "epoch": 0.45, + "learning_rate": 6.040205107734776e-06, + "loss": 0.7908, + "step": 6618 + }, + { + "epoch": 0.45, + "learning_rate": 6.039127341560657e-06, + "loss": 0.7934, + "step": 6619 + }, + { + "epoch": 0.45, + "learning_rate": 6.038049524923532e-06, + "loss": 0.92, + "step": 6620 + }, + { + "epoch": 0.45, + "learning_rate": 6.036971657875736e-06, + "loss": 0.7817, + "step": 6621 + }, + { + "epoch": 0.45, + "learning_rate": 6.0358937404696195e-06, + "loss": 0.8117, + "step": 6622 + }, + { + "epoch": 0.45, + "learning_rate": 6.034815772757528e-06, + "loss": 0.831, + "step": 6623 + }, + { + "epoch": 0.45, + "learning_rate": 6.033737754791809e-06, + "loss": 0.5419, + "step": 6624 + }, + { + "epoch": 0.45, + "learning_rate": 6.032659686624813e-06, + "loss": 0.7339, + "step": 6625 + }, + { + "epoch": 0.45, + "learning_rate": 6.0315815683088986e-06, + "loss": 0.6698, + "step": 6626 + }, + { + "epoch": 0.45, + "learning_rate": 6.030503399896418e-06, + "loss": 0.5635, + "step": 6627 + }, + { + "epoch": 0.45, + "learning_rate": 6.029425181439732e-06, + "loss": 0.7971, + "step": 6628 + }, + { + "epoch": 0.45, + "learning_rate": 6.028346912991202e-06, + "loss": 0.635, + "step": 6629 + }, + { + "epoch": 0.45, + "learning_rate": 6.027268594603192e-06, + "loss": 0.8867, + "step": 6630 + }, + { + "epoch": 0.45, + "learning_rate": 6.026190226328069e-06, + "loss": 0.9836, + "step": 6631 + }, + { + "epoch": 0.45, + "learning_rate": 6.025111808218198e-06, + "loss": 0.6998, + "step": 6632 + }, + { + "epoch": 0.45, + "learning_rate": 6.024033340325954e-06, + "loss": 0.7636, + "step": 6633 + }, + { + "epoch": 0.45, + "learning_rate": 6.0229548227037095e-06, + "loss": 0.5199, + "step": 6634 + }, + { + "epoch": 0.45, + "learning_rate": 6.021876255403839e-06, + "loss": 0.4088, + "step": 6635 + }, + { + "epoch": 0.45, + "learning_rate": 6.020797638478721e-06, + "loss": 0.778, + "step": 6636 + }, + { + "epoch": 0.45, + "learning_rate": 6.01971897198074e-06, + "loss": 0.9223, + "step": 6637 + }, + { + "epoch": 0.45, + "learning_rate": 6.0186402559622755e-06, + "loss": 0.7902, + "step": 6638 + }, + { + "epoch": 0.45, + "learning_rate": 6.017561490475713e-06, + "loss": 0.9594, + "step": 6639 + }, + { + "epoch": 0.45, + "learning_rate": 6.01648267557344e-06, + "loss": 0.6455, + "step": 6640 + }, + { + "epoch": 0.45, + "learning_rate": 6.01540381130785e-06, + "loss": 0.7135, + "step": 6641 + }, + { + "epoch": 0.45, + "learning_rate": 6.014324897731334e-06, + "loss": 0.6696, + "step": 6642 + }, + { + "epoch": 0.45, + "learning_rate": 6.013245934896286e-06, + "loss": 0.6452, + "step": 6643 + }, + { + "epoch": 0.45, + "learning_rate": 6.012166922855105e-06, + "loss": 0.8498, + "step": 6644 + }, + { + "epoch": 0.45, + "learning_rate": 6.011087861660191e-06, + "loss": 0.709, + "step": 6645 + }, + { + "epoch": 0.45, + "learning_rate": 6.010008751363944e-06, + "loss": 0.7102, + "step": 6646 + }, + { + "epoch": 0.45, + "learning_rate": 6.008929592018773e-06, + "loss": 0.8943, + "step": 6647 + }, + { + "epoch": 0.45, + "learning_rate": 6.007850383677081e-06, + "loss": 0.8315, + "step": 6648 + }, + { + "epoch": 0.45, + "learning_rate": 6.006771126391278e-06, + "loss": 0.7713, + "step": 6649 + }, + { + "epoch": 0.45, + "learning_rate": 6.005691820213778e-06, + "loss": 0.7804, + "step": 6650 + }, + { + "epoch": 0.45, + "learning_rate": 6.004612465196994e-06, + "loss": 0.7323, + "step": 6651 + }, + { + "epoch": 0.45, + "learning_rate": 6.003533061393343e-06, + "loss": 0.6594, + "step": 6652 + }, + { + "epoch": 0.45, + "learning_rate": 6.002453608855243e-06, + "loss": 0.8389, + "step": 6653 + }, + { + "epoch": 0.45, + "learning_rate": 6.001374107635116e-06, + "loss": 0.7502, + "step": 6654 + }, + { + "epoch": 0.45, + "learning_rate": 6.000294557785386e-06, + "loss": 0.5126, + "step": 6655 + }, + { + "epoch": 0.45, + "learning_rate": 5.999214959358477e-06, + "loss": 0.5759, + "step": 6656 + }, + { + "epoch": 0.45, + "learning_rate": 5.998135312406821e-06, + "loss": 0.7504, + "step": 6657 + }, + { + "epoch": 0.45, + "learning_rate": 5.997055616982847e-06, + "loss": 0.7797, + "step": 6658 + }, + { + "epoch": 0.45, + "learning_rate": 5.995975873138985e-06, + "loss": 0.6392, + "step": 6659 + }, + { + "epoch": 0.45, + "learning_rate": 5.994896080927675e-06, + "loss": 1.0513, + "step": 6660 + }, + { + "epoch": 0.45, + "learning_rate": 5.9938162404013544e-06, + "loss": 0.9759, + "step": 6661 + }, + { + "epoch": 0.45, + "learning_rate": 5.992736351612461e-06, + "loss": 0.7016, + "step": 6662 + }, + { + "epoch": 0.45, + "learning_rate": 5.991656414613437e-06, + "loss": 0.6156, + "step": 6663 + }, + { + "epoch": 0.45, + "learning_rate": 5.990576429456732e-06, + "loss": 0.9373, + "step": 6664 + }, + { + "epoch": 0.45, + "learning_rate": 5.989496396194787e-06, + "loss": 0.6326, + "step": 6665 + }, + { + "epoch": 0.45, + "learning_rate": 5.988416314880055e-06, + "loss": 0.8338, + "step": 6666 + }, + { + "epoch": 0.45, + "learning_rate": 5.9873361855649885e-06, + "loss": 0.8529, + "step": 6667 + }, + { + "epoch": 0.45, + "learning_rate": 5.9862560083020395e-06, + "loss": 0.6425, + "step": 6668 + }, + { + "epoch": 0.45, + "learning_rate": 5.985175783143666e-06, + "loss": 0.9062, + "step": 6669 + }, + { + "epoch": 0.45, + "learning_rate": 5.9840955101423244e-06, + "loss": 0.6348, + "step": 6670 + }, + { + "epoch": 0.45, + "learning_rate": 5.983015189350479e-06, + "loss": 0.7663, + "step": 6671 + }, + { + "epoch": 0.45, + "learning_rate": 5.981934820820593e-06, + "loss": 0.7145, + "step": 6672 + }, + { + "epoch": 0.45, + "learning_rate": 5.980854404605129e-06, + "loss": 0.5487, + "step": 6673 + }, + { + "epoch": 0.45, + "learning_rate": 5.9797739407565595e-06, + "loss": 0.846, + "step": 6674 + }, + { + "epoch": 0.45, + "learning_rate": 5.978693429327351e-06, + "loss": 0.7987, + "step": 6675 + }, + { + "epoch": 0.45, + "learning_rate": 5.9776128703699785e-06, + "loss": 0.5517, + "step": 6676 + }, + { + "epoch": 0.45, + "learning_rate": 5.976532263936916e-06, + "loss": 0.8008, + "step": 6677 + }, + { + "epoch": 0.45, + "learning_rate": 5.975451610080643e-06, + "loss": 0.742, + "step": 6678 + }, + { + "epoch": 0.45, + "learning_rate": 5.974370908853635e-06, + "loss": 0.8841, + "step": 6679 + }, + { + "epoch": 0.45, + "learning_rate": 5.973290160308378e-06, + "loss": 0.9855, + "step": 6680 + }, + { + "epoch": 0.45, + "learning_rate": 5.972209364497355e-06, + "loss": 0.886, + "step": 6681 + }, + { + "epoch": 0.45, + "learning_rate": 5.971128521473052e-06, + "loss": 0.7858, + "step": 6682 + }, + { + "epoch": 0.45, + "learning_rate": 5.970047631287958e-06, + "loss": 0.894, + "step": 6683 + }, + { + "epoch": 0.45, + "learning_rate": 5.968966693994563e-06, + "loss": 0.7997, + "step": 6684 + }, + { + "epoch": 0.45, + "learning_rate": 5.967885709645364e-06, + "loss": 0.6586, + "step": 6685 + }, + { + "epoch": 0.45, + "learning_rate": 5.9668046782928545e-06, + "loss": 0.5054, + "step": 6686 + }, + { + "epoch": 0.45, + "learning_rate": 5.965723599989529e-06, + "loss": 0.4971, + "step": 6687 + }, + { + "epoch": 0.46, + "learning_rate": 5.964642474787895e-06, + "loss": 0.7212, + "step": 6688 + }, + { + "epoch": 0.46, + "learning_rate": 5.9635613027404495e-06, + "loss": 0.8261, + "step": 6689 + }, + { + "epoch": 0.46, + "learning_rate": 5.962480083899699e-06, + "loss": 0.6358, + "step": 6690 + }, + { + "epoch": 0.46, + "learning_rate": 5.961398818318151e-06, + "loss": 0.6861, + "step": 6691 + }, + { + "epoch": 0.46, + "learning_rate": 5.960317506048313e-06, + "loss": 0.6279, + "step": 6692 + }, + { + "epoch": 0.46, + "learning_rate": 5.959236147142701e-06, + "loss": 0.8862, + "step": 6693 + }, + { + "epoch": 0.46, + "learning_rate": 5.958154741653822e-06, + "loss": 0.728, + "step": 6694 + }, + { + "epoch": 0.46, + "learning_rate": 5.957073289634199e-06, + "loss": 0.863, + "step": 6695 + }, + { + "epoch": 0.46, + "learning_rate": 5.9559917911363475e-06, + "loss": 0.7493, + "step": 6696 + }, + { + "epoch": 0.46, + "learning_rate": 5.954910246212787e-06, + "loss": 0.7447, + "step": 6697 + }, + { + "epoch": 0.46, + "learning_rate": 5.953828654916042e-06, + "loss": 0.9119, + "step": 6698 + }, + { + "epoch": 0.46, + "learning_rate": 5.952747017298638e-06, + "loss": 0.5601, + "step": 6699 + }, + { + "epoch": 0.46, + "learning_rate": 5.951665333413101e-06, + "loss": 0.9012, + "step": 6700 + }, + { + "epoch": 0.46, + "learning_rate": 5.9505836033119616e-06, + "loss": 0.8576, + "step": 6701 + }, + { + "epoch": 0.46, + "learning_rate": 5.949501827047753e-06, + "loss": 1.0142, + "step": 6702 + }, + { + "epoch": 0.46, + "learning_rate": 5.948420004673006e-06, + "loss": 0.7582, + "step": 6703 + }, + { + "epoch": 0.46, + "learning_rate": 5.947338136240259e-06, + "loss": 0.6983, + "step": 6704 + }, + { + "epoch": 0.46, + "learning_rate": 5.946256221802052e-06, + "loss": 0.8063, + "step": 6705 + }, + { + "epoch": 0.46, + "learning_rate": 5.945174261410923e-06, + "loss": 0.7292, + "step": 6706 + }, + { + "epoch": 0.46, + "learning_rate": 5.944092255119418e-06, + "loss": 0.6794, + "step": 6707 + }, + { + "epoch": 0.46, + "learning_rate": 5.94301020298008e-06, + "loss": 0.6388, + "step": 6708 + }, + { + "epoch": 0.46, + "learning_rate": 5.941928105045457e-06, + "loss": 0.7132, + "step": 6709 + }, + { + "epoch": 0.46, + "learning_rate": 5.9408459613681e-06, + "loss": 0.8541, + "step": 6710 + }, + { + "epoch": 0.46, + "learning_rate": 5.93976377200056e-06, + "loss": 0.8556, + "step": 6711 + }, + { + "epoch": 0.46, + "learning_rate": 5.938681536995392e-06, + "loss": 0.9052, + "step": 6712 + }, + { + "epoch": 0.46, + "learning_rate": 5.937599256405151e-06, + "loss": 0.7707, + "step": 6713 + }, + { + "epoch": 0.46, + "learning_rate": 5.936516930282397e-06, + "loss": 0.7687, + "step": 6714 + }, + { + "epoch": 0.46, + "learning_rate": 5.93543455867969e-06, + "loss": 0.7832, + "step": 6715 + }, + { + "epoch": 0.46, + "learning_rate": 5.934352141649594e-06, + "loss": 0.9727, + "step": 6716 + }, + { + "epoch": 0.46, + "learning_rate": 5.933269679244673e-06, + "loss": 1.0204, + "step": 6717 + }, + { + "epoch": 0.46, + "learning_rate": 5.932187171517496e-06, + "loss": 0.4043, + "step": 6718 + }, + { + "epoch": 0.46, + "learning_rate": 5.9311046185206325e-06, + "loss": 0.8758, + "step": 6719 + }, + { + "epoch": 0.46, + "learning_rate": 5.930022020306654e-06, + "loss": 0.6999, + "step": 6720 + }, + { + "epoch": 0.46, + "learning_rate": 5.928939376928134e-06, + "loss": 0.5786, + "step": 6721 + }, + { + "epoch": 0.46, + "learning_rate": 5.9278566884376476e-06, + "loss": 0.97, + "step": 6722 + }, + { + "epoch": 0.46, + "learning_rate": 5.926773954887777e-06, + "loss": 0.7263, + "step": 6723 + }, + { + "epoch": 0.46, + "learning_rate": 5.9256911763310984e-06, + "loss": 0.9606, + "step": 6724 + }, + { + "epoch": 0.46, + "learning_rate": 5.924608352820198e-06, + "loss": 0.6775, + "step": 6725 + }, + { + "epoch": 0.46, + "learning_rate": 5.923525484407661e-06, + "loss": 0.8381, + "step": 6726 + }, + { + "epoch": 0.46, + "learning_rate": 5.922442571146072e-06, + "loss": 0.7025, + "step": 6727 + }, + { + "epoch": 0.46, + "learning_rate": 5.9213596130880225e-06, + "loss": 0.7848, + "step": 6728 + }, + { + "epoch": 0.46, + "learning_rate": 5.920276610286102e-06, + "loss": 0.7033, + "step": 6729 + }, + { + "epoch": 0.46, + "learning_rate": 5.919193562792907e-06, + "loss": 0.6791, + "step": 6730 + }, + { + "epoch": 0.46, + "learning_rate": 5.9181104706610315e-06, + "loss": 0.832, + "step": 6731 + }, + { + "epoch": 0.46, + "learning_rate": 5.917027333943073e-06, + "loss": 0.7878, + "step": 6732 + }, + { + "epoch": 0.46, + "learning_rate": 5.915944152691634e-06, + "loss": 0.7251, + "step": 6733 + }, + { + "epoch": 0.46, + "learning_rate": 5.914860926959316e-06, + "loss": 0.8037, + "step": 6734 + }, + { + "epoch": 0.46, + "learning_rate": 5.913777656798722e-06, + "loss": 0.6575, + "step": 6735 + }, + { + "epoch": 0.46, + "learning_rate": 5.912694342262458e-06, + "loss": 1.0135, + "step": 6736 + }, + { + "epoch": 0.46, + "learning_rate": 5.9116109834031386e-06, + "loss": 0.7212, + "step": 6737 + }, + { + "epoch": 0.46, + "learning_rate": 5.910527580273369e-06, + "loss": 0.873, + "step": 6738 + }, + { + "epoch": 0.46, + "learning_rate": 5.909444132925765e-06, + "loss": 0.8877, + "step": 6739 + }, + { + "epoch": 0.46, + "learning_rate": 5.90836064141294e-06, + "loss": 0.656, + "step": 6740 + }, + { + "epoch": 0.46, + "learning_rate": 5.907277105787513e-06, + "loss": 0.8331, + "step": 6741 + }, + { + "epoch": 0.46, + "learning_rate": 5.906193526102104e-06, + "loss": 0.81, + "step": 6742 + }, + { + "epoch": 0.46, + "learning_rate": 5.905109902409334e-06, + "loss": 1.0735, + "step": 6743 + }, + { + "epoch": 0.46, + "learning_rate": 5.904026234761827e-06, + "loss": 0.7943, + "step": 6744 + }, + { + "epoch": 0.46, + "learning_rate": 5.90294252321221e-06, + "loss": 0.6847, + "step": 6745 + }, + { + "epoch": 0.46, + "learning_rate": 5.901858767813107e-06, + "loss": 0.6119, + "step": 6746 + }, + { + "epoch": 0.46, + "learning_rate": 5.9007749686171534e-06, + "loss": 0.5537, + "step": 6747 + }, + { + "epoch": 0.46, + "learning_rate": 5.8996911256769796e-06, + "loss": 0.5776, + "step": 6748 + }, + { + "epoch": 0.46, + "learning_rate": 5.898607239045219e-06, + "loss": 0.8224, + "step": 6749 + }, + { + "epoch": 0.46, + "learning_rate": 5.897523308774511e-06, + "loss": 0.6053, + "step": 6750 + }, + { + "epoch": 0.46, + "learning_rate": 5.896439334917492e-06, + "loss": 0.8974, + "step": 6751 + }, + { + "epoch": 0.46, + "learning_rate": 5.895355317526803e-06, + "loss": 0.7198, + "step": 6752 + }, + { + "epoch": 0.46, + "learning_rate": 5.894271256655089e-06, + "loss": 0.5684, + "step": 6753 + }, + { + "epoch": 0.46, + "learning_rate": 5.893187152354992e-06, + "loss": 0.831, + "step": 6754 + }, + { + "epoch": 0.46, + "learning_rate": 5.892103004679161e-06, + "loss": 0.8255, + "step": 6755 + }, + { + "epoch": 0.46, + "learning_rate": 5.891018813680246e-06, + "loss": 0.6288, + "step": 6756 + }, + { + "epoch": 0.46, + "learning_rate": 5.889934579410898e-06, + "loss": 0.8196, + "step": 6757 + }, + { + "epoch": 0.46, + "learning_rate": 5.8888503019237696e-06, + "loss": 0.525, + "step": 6758 + }, + { + "epoch": 0.46, + "learning_rate": 5.887765981271518e-06, + "loss": 0.9982, + "step": 6759 + }, + { + "epoch": 0.46, + "learning_rate": 5.886681617506797e-06, + "loss": 0.5473, + "step": 6760 + }, + { + "epoch": 0.46, + "learning_rate": 5.885597210682273e-06, + "loss": 0.9597, + "step": 6761 + }, + { + "epoch": 0.46, + "learning_rate": 5.884512760850602e-06, + "loss": 0.6707, + "step": 6762 + }, + { + "epoch": 0.46, + "learning_rate": 5.883428268064451e-06, + "loss": 0.6377, + "step": 6763 + }, + { + "epoch": 0.46, + "learning_rate": 5.882343732376487e-06, + "loss": 0.8042, + "step": 6764 + }, + { + "epoch": 0.46, + "learning_rate": 5.8812591538393735e-06, + "loss": 0.4434, + "step": 6765 + }, + { + "epoch": 0.46, + "learning_rate": 5.880174532505786e-06, + "loss": 0.6822, + "step": 6766 + }, + { + "epoch": 0.46, + "learning_rate": 5.879089868428394e-06, + "loss": 0.8299, + "step": 6767 + }, + { + "epoch": 0.46, + "learning_rate": 5.878005161659872e-06, + "loss": 0.495, + "step": 6768 + }, + { + "epoch": 0.46, + "learning_rate": 5.876920412252899e-06, + "loss": 0.5873, + "step": 6769 + }, + { + "epoch": 0.46, + "learning_rate": 5.875835620260148e-06, + "loss": 0.8226, + "step": 6770 + }, + { + "epoch": 0.46, + "learning_rate": 5.874750785734305e-06, + "loss": 0.8734, + "step": 6771 + }, + { + "epoch": 0.46, + "learning_rate": 5.8736659087280525e-06, + "loss": 0.6607, + "step": 6772 + }, + { + "epoch": 0.46, + "learning_rate": 5.872580989294072e-06, + "loss": 0.6541, + "step": 6773 + }, + { + "epoch": 0.46, + "learning_rate": 5.8714960274850506e-06, + "loss": 0.6883, + "step": 6774 + }, + { + "epoch": 0.46, + "learning_rate": 5.870411023353681e-06, + "loss": 0.6504, + "step": 6775 + }, + { + "epoch": 0.46, + "learning_rate": 5.86932597695265e-06, + "loss": 0.9898, + "step": 6776 + }, + { + "epoch": 0.46, + "learning_rate": 5.8682408883346535e-06, + "loss": 0.7284, + "step": 6777 + }, + { + "epoch": 0.46, + "learning_rate": 5.867155757552383e-06, + "loss": 0.995, + "step": 6778 + }, + { + "epoch": 0.46, + "learning_rate": 5.866070584658539e-06, + "loss": 0.6269, + "step": 6779 + }, + { + "epoch": 0.46, + "learning_rate": 5.864985369705819e-06, + "loss": 0.7387, + "step": 6780 + }, + { + "epoch": 0.46, + "learning_rate": 5.863900112746925e-06, + "loss": 1.0291, + "step": 6781 + }, + { + "epoch": 0.46, + "learning_rate": 5.86281481383456e-06, + "loss": 0.7204, + "step": 6782 + }, + { + "epoch": 0.46, + "learning_rate": 5.861729473021429e-06, + "loss": 0.7514, + "step": 6783 + }, + { + "epoch": 0.46, + "learning_rate": 5.860644090360237e-06, + "loss": 0.9066, + "step": 6784 + }, + { + "epoch": 0.46, + "learning_rate": 5.859558665903699e-06, + "loss": 0.7449, + "step": 6785 + }, + { + "epoch": 0.46, + "learning_rate": 5.858473199704519e-06, + "loss": 0.6398, + "step": 6786 + }, + { + "epoch": 0.46, + "learning_rate": 5.857387691815416e-06, + "loss": 0.6067, + "step": 6787 + }, + { + "epoch": 0.46, + "learning_rate": 5.8563021422891056e-06, + "loss": 0.8532, + "step": 6788 + }, + { + "epoch": 0.46, + "learning_rate": 5.8552165511783e-06, + "loss": 0.9672, + "step": 6789 + }, + { + "epoch": 0.46, + "learning_rate": 5.854130918535723e-06, + "loss": 0.5906, + "step": 6790 + }, + { + "epoch": 0.46, + "learning_rate": 5.853045244414095e-06, + "loss": 0.5346, + "step": 6791 + }, + { + "epoch": 0.46, + "learning_rate": 5.851959528866139e-06, + "loss": 0.7794, + "step": 6792 + }, + { + "epoch": 0.46, + "learning_rate": 5.850873771944581e-06, + "loss": 0.4493, + "step": 6793 + }, + { + "epoch": 0.46, + "learning_rate": 5.849787973702148e-06, + "loss": 0.6248, + "step": 6794 + }, + { + "epoch": 0.46, + "learning_rate": 5.848702134191571e-06, + "loss": 0.4961, + "step": 6795 + }, + { + "epoch": 0.46, + "learning_rate": 5.8476162534655786e-06, + "loss": 0.6233, + "step": 6796 + }, + { + "epoch": 0.46, + "learning_rate": 5.846530331576907e-06, + "loss": 0.8204, + "step": 6797 + }, + { + "epoch": 0.46, + "learning_rate": 5.845444368578288e-06, + "loss": 0.6184, + "step": 6798 + }, + { + "epoch": 0.46, + "learning_rate": 5.844358364522466e-06, + "loss": 0.6344, + "step": 6799 + }, + { + "epoch": 0.46, + "learning_rate": 5.843272319462173e-06, + "loss": 0.6237, + "step": 6800 + }, + { + "epoch": 0.46, + "learning_rate": 5.842186233450153e-06, + "loss": 0.7465, + "step": 6801 + }, + { + "epoch": 0.46, + "learning_rate": 5.841100106539153e-06, + "loss": 0.8341, + "step": 6802 + }, + { + "epoch": 0.46, + "learning_rate": 5.840013938781913e-06, + "loss": 0.7686, + "step": 6803 + }, + { + "epoch": 0.46, + "learning_rate": 5.838927730231183e-06, + "loss": 0.9448, + "step": 6804 + }, + { + "epoch": 0.46, + "learning_rate": 5.8378414809397135e-06, + "loss": 0.8117, + "step": 6805 + }, + { + "epoch": 0.46, + "learning_rate": 5.836755190960255e-06, + "loss": 0.5811, + "step": 6806 + }, + { + "epoch": 0.46, + "learning_rate": 5.835668860345561e-06, + "loss": 0.6352, + "step": 6807 + }, + { + "epoch": 0.46, + "learning_rate": 5.8345824891483836e-06, + "loss": 0.8717, + "step": 6808 + }, + { + "epoch": 0.46, + "learning_rate": 5.833496077421485e-06, + "loss": 0.6743, + "step": 6809 + }, + { + "epoch": 0.46, + "learning_rate": 5.832409625217623e-06, + "loss": 0.7254, + "step": 6810 + }, + { + "epoch": 0.46, + "learning_rate": 5.831323132589557e-06, + "loss": 0.8706, + "step": 6811 + }, + { + "epoch": 0.46, + "learning_rate": 5.83023659959005e-06, + "loss": 0.8761, + "step": 6812 + }, + { + "epoch": 0.46, + "learning_rate": 5.829150026271871e-06, + "loss": 0.814, + "step": 6813 + }, + { + "epoch": 0.46, + "learning_rate": 5.828063412687785e-06, + "loss": 0.8293, + "step": 6814 + }, + { + "epoch": 0.46, + "learning_rate": 5.826976758890559e-06, + "loss": 0.9737, + "step": 6815 + }, + { + "epoch": 0.46, + "learning_rate": 5.825890064932968e-06, + "loss": 0.6585, + "step": 6816 + }, + { + "epoch": 0.46, + "learning_rate": 5.824803330867781e-06, + "loss": 0.6708, + "step": 6817 + }, + { + "epoch": 0.46, + "learning_rate": 5.823716556747775e-06, + "loss": 0.9782, + "step": 6818 + }, + { + "epoch": 0.46, + "learning_rate": 5.822629742625726e-06, + "loss": 0.7171, + "step": 6819 + }, + { + "epoch": 0.46, + "learning_rate": 5.821542888554414e-06, + "loss": 0.7838, + "step": 6820 + }, + { + "epoch": 0.46, + "learning_rate": 5.820455994586621e-06, + "loss": 0.7224, + "step": 6821 + }, + { + "epoch": 0.46, + "learning_rate": 5.8193690607751255e-06, + "loss": 0.7637, + "step": 6822 + }, + { + "epoch": 0.46, + "learning_rate": 5.8182820871727166e-06, + "loss": 0.6584, + "step": 6823 + }, + { + "epoch": 0.46, + "learning_rate": 5.817195073832177e-06, + "loss": 0.7586, + "step": 6824 + }, + { + "epoch": 0.46, + "learning_rate": 5.816108020806297e-06, + "loss": 0.8776, + "step": 6825 + }, + { + "epoch": 0.46, + "learning_rate": 5.815020928147867e-06, + "loss": 0.7165, + "step": 6826 + }, + { + "epoch": 0.46, + "learning_rate": 5.813933795909681e-06, + "loss": 0.9735, + "step": 6827 + }, + { + "epoch": 0.46, + "learning_rate": 5.81284662414453e-06, + "loss": 0.7934, + "step": 6828 + }, + { + "epoch": 0.46, + "learning_rate": 5.811759412905213e-06, + "loss": 0.8922, + "step": 6829 + }, + { + "epoch": 0.46, + "learning_rate": 5.8106721622445254e-06, + "loss": 0.9087, + "step": 6830 + }, + { + "epoch": 0.46, + "learning_rate": 5.80958487221527e-06, + "loss": 0.7724, + "step": 6831 + }, + { + "epoch": 0.46, + "learning_rate": 5.808497542870246e-06, + "loss": 0.9932, + "step": 6832 + }, + { + "epoch": 0.46, + "learning_rate": 5.807410174262259e-06, + "loss": 0.8401, + "step": 6833 + }, + { + "epoch": 0.46, + "learning_rate": 5.806322766444116e-06, + "loss": 0.8624, + "step": 6834 + }, + { + "epoch": 0.47, + "learning_rate": 5.805235319468622e-06, + "loss": 0.8928, + "step": 6835 + }, + { + "epoch": 0.47, + "learning_rate": 5.804147833388586e-06, + "loss": 0.629, + "step": 6836 + }, + { + "epoch": 0.47, + "learning_rate": 5.803060308256824e-06, + "loss": 1.0357, + "step": 6837 + }, + { + "epoch": 0.47, + "learning_rate": 5.801972744126144e-06, + "loss": 0.982, + "step": 6838 + }, + { + "epoch": 0.47, + "learning_rate": 5.800885141049364e-06, + "loss": 0.7383, + "step": 6839 + }, + { + "epoch": 0.47, + "learning_rate": 5.799797499079301e-06, + "loss": 0.7459, + "step": 6840 + }, + { + "epoch": 0.47, + "learning_rate": 5.798709818268775e-06, + "loss": 0.7111, + "step": 6841 + }, + { + "epoch": 0.47, + "learning_rate": 5.797622098670604e-06, + "loss": 0.6607, + "step": 6842 + }, + { + "epoch": 0.47, + "learning_rate": 5.796534340337614e-06, + "loss": 0.7406, + "step": 6843 + }, + { + "epoch": 0.47, + "learning_rate": 5.795446543322627e-06, + "loss": 0.8277, + "step": 6844 + }, + { + "epoch": 0.47, + "learning_rate": 5.794358707678471e-06, + "loss": 0.7122, + "step": 6845 + }, + { + "epoch": 0.47, + "learning_rate": 5.793270833457973e-06, + "loss": 0.9294, + "step": 6846 + }, + { + "epoch": 0.47, + "learning_rate": 5.792182920713966e-06, + "loss": 0.7857, + "step": 6847 + }, + { + "epoch": 0.47, + "learning_rate": 5.791094969499281e-06, + "loss": 0.655, + "step": 6848 + }, + { + "epoch": 0.47, + "learning_rate": 5.79000697986675e-06, + "loss": 0.8651, + "step": 6849 + }, + { + "epoch": 0.47, + "learning_rate": 5.788918951869211e-06, + "loss": 0.8665, + "step": 6850 + }, + { + "epoch": 0.47, + "learning_rate": 5.7878308855595025e-06, + "loss": 0.8144, + "step": 6851 + }, + { + "epoch": 0.47, + "learning_rate": 5.786742780990462e-06, + "loss": 0.6801, + "step": 6852 + }, + { + "epoch": 0.47, + "learning_rate": 5.7856546382149316e-06, + "loss": 0.9429, + "step": 6853 + }, + { + "epoch": 0.47, + "learning_rate": 5.7845664572857544e-06, + "loss": 0.7751, + "step": 6854 + }, + { + "epoch": 0.47, + "learning_rate": 5.783478238255777e-06, + "loss": 0.5906, + "step": 6855 + }, + { + "epoch": 0.47, + "learning_rate": 5.782389981177845e-06, + "loss": 0.5401, + "step": 6856 + }, + { + "epoch": 0.47, + "learning_rate": 5.781301686104808e-06, + "loss": 0.7847, + "step": 6857 + }, + { + "epoch": 0.47, + "learning_rate": 5.780213353089517e-06, + "loss": 0.8742, + "step": 6858 + }, + { + "epoch": 0.47, + "learning_rate": 5.779124982184825e-06, + "loss": 0.6399, + "step": 6859 + }, + { + "epoch": 0.47, + "learning_rate": 5.778036573443583e-06, + "loss": 0.6921, + "step": 6860 + }, + { + "epoch": 0.47, + "learning_rate": 5.776948126918652e-06, + "loss": 0.641, + "step": 6861 + }, + { + "epoch": 0.47, + "learning_rate": 5.775859642662888e-06, + "loss": 0.7742, + "step": 6862 + }, + { + "epoch": 0.47, + "learning_rate": 5.774771120729149e-06, + "loss": 0.7241, + "step": 6863 + }, + { + "epoch": 0.47, + "learning_rate": 5.773682561170301e-06, + "loss": 0.9614, + "step": 6864 + }, + { + "epoch": 0.47, + "learning_rate": 5.772593964039203e-06, + "loss": 1.0333, + "step": 6865 + }, + { + "epoch": 0.47, + "learning_rate": 5.771505329388724e-06, + "loss": 0.7488, + "step": 6866 + }, + { + "epoch": 0.47, + "learning_rate": 5.7704166572717295e-06, + "loss": 0.8874, + "step": 6867 + }, + { + "epoch": 0.47, + "learning_rate": 5.7693279477410876e-06, + "loss": 0.9097, + "step": 6868 + }, + { + "epoch": 0.47, + "learning_rate": 5.768239200849672e-06, + "loss": 0.8245, + "step": 6869 + }, + { + "epoch": 0.47, + "learning_rate": 5.767150416650354e-06, + "loss": 0.7702, + "step": 6870 + }, + { + "epoch": 0.47, + "learning_rate": 5.766061595196006e-06, + "loss": 0.7987, + "step": 6871 + }, + { + "epoch": 0.47, + "learning_rate": 5.764972736539508e-06, + "loss": 0.7819, + "step": 6872 + }, + { + "epoch": 0.47, + "learning_rate": 5.763883840733736e-06, + "loss": 0.8096, + "step": 6873 + }, + { + "epoch": 0.47, + "learning_rate": 5.762794907831568e-06, + "loss": 0.6523, + "step": 6874 + }, + { + "epoch": 0.47, + "learning_rate": 5.761705937885891e-06, + "loss": 0.701, + "step": 6875 + }, + { + "epoch": 0.47, + "learning_rate": 5.760616930949584e-06, + "loss": 0.7708, + "step": 6876 + }, + { + "epoch": 0.47, + "learning_rate": 5.759527887075533e-06, + "loss": 0.8081, + "step": 6877 + }, + { + "epoch": 0.47, + "learning_rate": 5.758438806316628e-06, + "loss": 0.6256, + "step": 6878 + }, + { + "epoch": 0.47, + "learning_rate": 5.757349688725754e-06, + "loss": 0.7537, + "step": 6879 + }, + { + "epoch": 0.47, + "learning_rate": 5.756260534355804e-06, + "loss": 0.625, + "step": 6880 + }, + { + "epoch": 0.47, + "learning_rate": 5.755171343259669e-06, + "loss": 0.5608, + "step": 6881 + }, + { + "epoch": 0.47, + "learning_rate": 5.754082115490245e-06, + "loss": 0.6137, + "step": 6882 + }, + { + "epoch": 0.47, + "learning_rate": 5.752992851100427e-06, + "loss": 0.6171, + "step": 6883 + }, + { + "epoch": 0.47, + "learning_rate": 5.751903550143113e-06, + "loss": 0.7921, + "step": 6884 + }, + { + "epoch": 0.47, + "learning_rate": 5.750814212671202e-06, + "loss": 0.8106, + "step": 6885 + }, + { + "epoch": 0.47, + "learning_rate": 5.749724838737597e-06, + "loss": 0.8104, + "step": 6886 + }, + { + "epoch": 0.47, + "learning_rate": 5.7486354283952e-06, + "loss": 0.7103, + "step": 6887 + }, + { + "epoch": 0.47, + "learning_rate": 5.7475459816969136e-06, + "loss": 0.7631, + "step": 6888 + }, + { + "epoch": 0.47, + "learning_rate": 5.746456498695648e-06, + "loss": 0.5347, + "step": 6889 + }, + { + "epoch": 0.47, + "learning_rate": 5.745366979444311e-06, + "loss": 0.7745, + "step": 6890 + }, + { + "epoch": 0.47, + "learning_rate": 5.744277423995812e-06, + "loss": 0.7631, + "step": 6891 + }, + { + "epoch": 0.47, + "learning_rate": 5.743187832403063e-06, + "loss": 1.0933, + "step": 6892 + }, + { + "epoch": 0.47, + "learning_rate": 5.742098204718978e-06, + "loss": 0.9006, + "step": 6893 + }, + { + "epoch": 0.47, + "learning_rate": 5.741008540996472e-06, + "loss": 0.5044, + "step": 6894 + }, + { + "epoch": 0.47, + "learning_rate": 5.739918841288462e-06, + "loss": 0.5775, + "step": 6895 + }, + { + "epoch": 0.47, + "learning_rate": 5.738829105647868e-06, + "loss": 0.6715, + "step": 6896 + }, + { + "epoch": 0.47, + "learning_rate": 5.737739334127611e-06, + "loss": 0.5301, + "step": 6897 + }, + { + "epoch": 0.47, + "learning_rate": 5.736649526780611e-06, + "loss": 0.5935, + "step": 6898 + }, + { + "epoch": 0.47, + "learning_rate": 5.735559683659795e-06, + "loss": 0.5968, + "step": 6899 + }, + { + "epoch": 0.47, + "learning_rate": 5.7344698048180865e-06, + "loss": 0.8358, + "step": 6900 + }, + { + "epoch": 0.47, + "learning_rate": 5.7333798903084146e-06, + "loss": 0.587, + "step": 6901 + }, + { + "epoch": 0.47, + "learning_rate": 5.732289940183708e-06, + "loss": 0.6963, + "step": 6902 + }, + { + "epoch": 0.47, + "learning_rate": 5.731199954496899e-06, + "loss": 0.6089, + "step": 6903 + }, + { + "epoch": 0.47, + "learning_rate": 5.730109933300919e-06, + "loss": 0.6802, + "step": 6904 + }, + { + "epoch": 0.47, + "learning_rate": 5.729019876648704e-06, + "loss": 0.767, + "step": 6905 + }, + { + "epoch": 0.47, + "learning_rate": 5.727929784593188e-06, + "loss": 0.827, + "step": 6906 + }, + { + "epoch": 0.47, + "learning_rate": 5.726839657187313e-06, + "loss": 0.4184, + "step": 6907 + }, + { + "epoch": 0.47, + "learning_rate": 5.725749494484013e-06, + "loss": 0.9593, + "step": 6908 + }, + { + "epoch": 0.47, + "learning_rate": 5.724659296536234e-06, + "loss": 0.4991, + "step": 6909 + }, + { + "epoch": 0.47, + "learning_rate": 5.723569063396919e-06, + "loss": 0.5292, + "step": 6910 + }, + { + "epoch": 0.47, + "learning_rate": 5.72247879511901e-06, + "loss": 0.6724, + "step": 6911 + }, + { + "epoch": 0.47, + "learning_rate": 5.721388491755455e-06, + "loss": 0.765, + "step": 6912 + }, + { + "epoch": 0.47, + "learning_rate": 5.720298153359204e-06, + "loss": 0.6744, + "step": 6913 + }, + { + "epoch": 0.47, + "learning_rate": 5.719207779983203e-06, + "loss": 0.7606, + "step": 6914 + }, + { + "epoch": 0.47, + "learning_rate": 5.718117371680408e-06, + "loss": 0.8245, + "step": 6915 + }, + { + "epoch": 0.47, + "learning_rate": 5.71702692850377e-06, + "loss": 0.5704, + "step": 6916 + }, + { + "epoch": 0.47, + "learning_rate": 5.715936450506244e-06, + "loss": 0.704, + "step": 6917 + }, + { + "epoch": 0.47, + "learning_rate": 5.714845937740787e-06, + "loss": 1.0226, + "step": 6918 + }, + { + "epoch": 0.47, + "learning_rate": 5.713755390260358e-06, + "loss": 0.6239, + "step": 6919 + }, + { + "epoch": 0.47, + "learning_rate": 5.712664808117918e-06, + "loss": 0.6316, + "step": 6920 + }, + { + "epoch": 0.47, + "learning_rate": 5.711574191366427e-06, + "loss": 0.5512, + "step": 6921 + }, + { + "epoch": 0.47, + "learning_rate": 5.710483540058847e-06, + "loss": 0.7469, + "step": 6922 + }, + { + "epoch": 0.47, + "learning_rate": 5.709392854248147e-06, + "loss": 0.785, + "step": 6923 + }, + { + "epoch": 0.47, + "learning_rate": 5.708302133987293e-06, + "loss": 0.8893, + "step": 6924 + }, + { + "epoch": 0.47, + "learning_rate": 5.707211379329252e-06, + "loss": 0.7887, + "step": 6925 + }, + { + "epoch": 0.47, + "learning_rate": 5.7061205903269935e-06, + "loss": 0.6261, + "step": 6926 + }, + { + "epoch": 0.47, + "learning_rate": 5.7050297670334905e-06, + "loss": 0.8318, + "step": 6927 + }, + { + "epoch": 0.47, + "learning_rate": 5.703938909501717e-06, + "loss": 0.777, + "step": 6928 + }, + { + "epoch": 0.47, + "learning_rate": 5.702848017784648e-06, + "loss": 0.5144, + "step": 6929 + }, + { + "epoch": 0.47, + "learning_rate": 5.70175709193526e-06, + "loss": 0.5462, + "step": 6930 + }, + { + "epoch": 0.47, + "learning_rate": 5.700666132006531e-06, + "loss": 0.5842, + "step": 6931 + }, + { + "epoch": 0.47, + "learning_rate": 5.699575138051443e-06, + "loss": 0.8528, + "step": 6932 + }, + { + "epoch": 0.47, + "learning_rate": 5.698484110122976e-06, + "loss": 0.5926, + "step": 6933 + }, + { + "epoch": 0.47, + "learning_rate": 5.697393048274114e-06, + "loss": 0.5696, + "step": 6934 + }, + { + "epoch": 0.47, + "learning_rate": 5.6963019525578435e-06, + "loss": 0.844, + "step": 6935 + }, + { + "epoch": 0.47, + "learning_rate": 5.695210823027147e-06, + "loss": 0.6371, + "step": 6936 + }, + { + "epoch": 0.47, + "learning_rate": 5.694119659735018e-06, + "loss": 0.601, + "step": 6937 + }, + { + "epoch": 0.47, + "learning_rate": 5.693028462734443e-06, + "loss": 0.7043, + "step": 6938 + }, + { + "epoch": 0.47, + "learning_rate": 5.691937232078415e-06, + "loss": 0.7817, + "step": 6939 + }, + { + "epoch": 0.47, + "learning_rate": 5.690845967819928e-06, + "loss": 0.4241, + "step": 6940 + }, + { + "epoch": 0.47, + "learning_rate": 5.689754670011976e-06, + "loss": 0.801, + "step": 6941 + }, + { + "epoch": 0.47, + "learning_rate": 5.688663338707554e-06, + "loss": 0.9896, + "step": 6942 + }, + { + "epoch": 0.47, + "learning_rate": 5.687571973959663e-06, + "loss": 0.7054, + "step": 6943 + }, + { + "epoch": 0.47, + "learning_rate": 5.686480575821303e-06, + "loss": 0.7589, + "step": 6944 + }, + { + "epoch": 0.47, + "learning_rate": 5.685389144345474e-06, + "loss": 0.6694, + "step": 6945 + }, + { + "epoch": 0.47, + "learning_rate": 5.684297679585176e-06, + "loss": 0.6527, + "step": 6946 + }, + { + "epoch": 0.47, + "learning_rate": 5.683206181593419e-06, + "loss": 0.7112, + "step": 6947 + }, + { + "epoch": 0.47, + "learning_rate": 5.682114650423208e-06, + "loss": 0.7388, + "step": 6948 + }, + { + "epoch": 0.47, + "learning_rate": 5.681023086127548e-06, + "loss": 0.5149, + "step": 6949 + }, + { + "epoch": 0.47, + "learning_rate": 5.679931488759452e-06, + "loss": 0.4608, + "step": 6950 + }, + { + "epoch": 0.47, + "learning_rate": 5.67883985837193e-06, + "loss": 0.8257, + "step": 6951 + }, + { + "epoch": 0.47, + "learning_rate": 5.677748195017992e-06, + "loss": 1.0014, + "step": 6952 + }, + { + "epoch": 0.47, + "learning_rate": 5.6766564987506564e-06, + "loss": 0.9455, + "step": 6953 + }, + { + "epoch": 0.47, + "learning_rate": 5.675564769622937e-06, + "loss": 1.0015, + "step": 6954 + }, + { + "epoch": 0.47, + "learning_rate": 5.6744730076878505e-06, + "loss": 0.735, + "step": 6955 + }, + { + "epoch": 0.47, + "learning_rate": 5.673381212998419e-06, + "loss": 0.6009, + "step": 6956 + }, + { + "epoch": 0.47, + "learning_rate": 5.6722893856076596e-06, + "loss": 0.8783, + "step": 6957 + }, + { + "epoch": 0.47, + "learning_rate": 5.6711975255685965e-06, + "loss": 0.4944, + "step": 6958 + }, + { + "epoch": 0.47, + "learning_rate": 5.6701056329342556e-06, + "loss": 0.6632, + "step": 6959 + }, + { + "epoch": 0.47, + "learning_rate": 5.669013707757657e-06, + "loss": 0.7525, + "step": 6960 + }, + { + "epoch": 0.47, + "learning_rate": 5.667921750091833e-06, + "loss": 0.7091, + "step": 6961 + }, + { + "epoch": 0.47, + "learning_rate": 5.666829759989809e-06, + "loss": 0.5408, + "step": 6962 + }, + { + "epoch": 0.47, + "learning_rate": 5.665737737504616e-06, + "loss": 0.7082, + "step": 6963 + }, + { + "epoch": 0.47, + "learning_rate": 5.664645682689287e-06, + "loss": 0.5134, + "step": 6964 + }, + { + "epoch": 0.47, + "learning_rate": 5.663553595596853e-06, + "loss": 0.9246, + "step": 6965 + }, + { + "epoch": 0.47, + "learning_rate": 5.662461476280351e-06, + "loss": 0.7173, + "step": 6966 + }, + { + "epoch": 0.47, + "learning_rate": 5.661369324792816e-06, + "loss": 0.7316, + "step": 6967 + }, + { + "epoch": 0.47, + "learning_rate": 5.660277141187287e-06, + "loss": 0.6046, + "step": 6968 + }, + { + "epoch": 0.47, + "learning_rate": 5.659184925516802e-06, + "loss": 0.797, + "step": 6969 + }, + { + "epoch": 0.47, + "learning_rate": 5.658092677834405e-06, + "loss": 0.7313, + "step": 6970 + }, + { + "epoch": 0.47, + "learning_rate": 5.6570003981931355e-06, + "loss": 0.7103, + "step": 6971 + }, + { + "epoch": 0.47, + "learning_rate": 5.655908086646042e-06, + "loss": 0.5769, + "step": 6972 + }, + { + "epoch": 0.47, + "learning_rate": 5.654815743246164e-06, + "loss": 0.7592, + "step": 6973 + }, + { + "epoch": 0.47, + "learning_rate": 5.653723368046553e-06, + "loss": 0.7238, + "step": 6974 + }, + { + "epoch": 0.47, + "learning_rate": 5.65263096110026e-06, + "loss": 0.9017, + "step": 6975 + }, + { + "epoch": 0.47, + "learning_rate": 5.651538522460329e-06, + "loss": 0.9237, + "step": 6976 + }, + { + "epoch": 0.47, + "learning_rate": 5.650446052179817e-06, + "loss": 0.8351, + "step": 6977 + }, + { + "epoch": 0.47, + "learning_rate": 5.649353550311777e-06, + "loss": 0.6844, + "step": 6978 + }, + { + "epoch": 0.47, + "learning_rate": 5.648261016909263e-06, + "loss": 0.8063, + "step": 6979 + }, + { + "epoch": 0.47, + "learning_rate": 5.64716845202533e-06, + "loss": 0.7933, + "step": 6980 + }, + { + "epoch": 0.47, + "learning_rate": 5.646075855713039e-06, + "loss": 0.9433, + "step": 6981 + }, + { + "epoch": 0.48, + "learning_rate": 5.644983228025449e-06, + "loss": 0.6269, + "step": 6982 + }, + { + "epoch": 0.48, + "learning_rate": 5.6438905690156196e-06, + "loss": 0.6196, + "step": 6983 + }, + { + "epoch": 0.48, + "learning_rate": 5.642797878736614e-06, + "loss": 0.7126, + "step": 6984 + }, + { + "epoch": 0.48, + "learning_rate": 5.641705157241497e-06, + "loss": 0.6875, + "step": 6985 + }, + { + "epoch": 0.48, + "learning_rate": 5.640612404583337e-06, + "loss": 0.9724, + "step": 6986 + }, + { + "epoch": 0.48, + "learning_rate": 5.639519620815195e-06, + "loss": 0.6423, + "step": 6987 + }, + { + "epoch": 0.48, + "learning_rate": 5.638426805990142e-06, + "loss": 0.8925, + "step": 6988 + }, + { + "epoch": 0.48, + "learning_rate": 5.637333960161252e-06, + "loss": 0.8543, + "step": 6989 + }, + { + "epoch": 0.48, + "learning_rate": 5.636241083381593e-06, + "loss": 0.8088, + "step": 6990 + }, + { + "epoch": 0.48, + "learning_rate": 5.635148175704239e-06, + "loss": 0.6942, + "step": 6991 + }, + { + "epoch": 0.48, + "learning_rate": 5.6340552371822655e-06, + "loss": 0.4835, + "step": 6992 + }, + { + "epoch": 0.48, + "learning_rate": 5.632962267868747e-06, + "loss": 0.9645, + "step": 6993 + }, + { + "epoch": 0.48, + "learning_rate": 5.631869267816763e-06, + "loss": 0.7165, + "step": 6994 + }, + { + "epoch": 0.48, + "learning_rate": 5.630776237079392e-06, + "loss": 0.8404, + "step": 6995 + }, + { + "epoch": 0.48, + "learning_rate": 5.629683175709715e-06, + "loss": 0.5412, + "step": 6996 + }, + { + "epoch": 0.48, + "learning_rate": 5.628590083760815e-06, + "loss": 0.9064, + "step": 6997 + }, + { + "epoch": 0.48, + "learning_rate": 5.627496961285772e-06, + "loss": 0.6511, + "step": 6998 + }, + { + "epoch": 0.48, + "learning_rate": 5.626403808337677e-06, + "loss": 0.4439, + "step": 6999 + }, + { + "epoch": 0.48, + "learning_rate": 5.625310624969612e-06, + "loss": 0.8065, + "step": 7000 + }, + { + "epoch": 0.48, + "learning_rate": 5.624217411234667e-06, + "loss": 0.7651, + "step": 7001 + }, + { + "epoch": 0.48, + "learning_rate": 5.62312416718593e-06, + "loss": 0.6359, + "step": 7002 + }, + { + "epoch": 0.48, + "learning_rate": 5.622030892876494e-06, + "loss": 0.7672, + "step": 7003 + }, + { + "epoch": 0.48, + "learning_rate": 5.620937588359452e-06, + "loss": 0.7516, + "step": 7004 + }, + { + "epoch": 0.48, + "learning_rate": 5.619844253687896e-06, + "loss": 0.9442, + "step": 7005 + }, + { + "epoch": 0.48, + "learning_rate": 5.618750888914923e-06, + "loss": 0.5875, + "step": 7006 + }, + { + "epoch": 0.48, + "learning_rate": 5.617657494093628e-06, + "loss": 0.8435, + "step": 7007 + }, + { + "epoch": 0.48, + "learning_rate": 5.616564069277111e-06, + "loss": 0.7685, + "step": 7008 + }, + { + "epoch": 0.48, + "learning_rate": 5.615470614518472e-06, + "loss": 0.7461, + "step": 7009 + }, + { + "epoch": 0.48, + "learning_rate": 5.614377129870813e-06, + "loss": 0.6718, + "step": 7010 + }, + { + "epoch": 0.48, + "learning_rate": 5.6132836153872335e-06, + "loss": 0.8406, + "step": 7011 + }, + { + "epoch": 0.48, + "learning_rate": 5.61219007112084e-06, + "loss": 0.537, + "step": 7012 + }, + { + "epoch": 0.48, + "learning_rate": 5.61109649712474e-06, + "loss": 0.7124, + "step": 7013 + }, + { + "epoch": 0.48, + "learning_rate": 5.610002893452036e-06, + "loss": 0.7072, + "step": 7014 + }, + { + "epoch": 0.48, + "learning_rate": 5.6089092601558396e-06, + "loss": 0.7845, + "step": 7015 + }, + { + "epoch": 0.48, + "learning_rate": 5.607815597289261e-06, + "loss": 0.874, + "step": 7016 + }, + { + "epoch": 0.48, + "learning_rate": 5.60672190490541e-06, + "loss": 0.8696, + "step": 7017 + }, + { + "epoch": 0.48, + "learning_rate": 5.605628183057401e-06, + "loss": 0.7365, + "step": 7018 + }, + { + "epoch": 0.48, + "learning_rate": 5.6045344317983476e-06, + "loss": 0.6807, + "step": 7019 + }, + { + "epoch": 0.48, + "learning_rate": 5.603440651181366e-06, + "loss": 0.8569, + "step": 7020 + }, + { + "epoch": 0.48, + "learning_rate": 5.602346841259571e-06, + "loss": 0.8143, + "step": 7021 + }, + { + "epoch": 0.48, + "learning_rate": 5.601253002086084e-06, + "loss": 0.61, + "step": 7022 + }, + { + "epoch": 0.48, + "learning_rate": 5.6001591337140234e-06, + "loss": 0.9149, + "step": 7023 + }, + { + "epoch": 0.48, + "learning_rate": 5.599065236196513e-06, + "loss": 0.7726, + "step": 7024 + }, + { + "epoch": 0.48, + "learning_rate": 5.597971309586672e-06, + "loss": 0.808, + "step": 7025 + }, + { + "epoch": 0.48, + "learning_rate": 5.5968773539376266e-06, + "loss": 0.8383, + "step": 7026 + }, + { + "epoch": 0.48, + "learning_rate": 5.595783369302503e-06, + "loss": 0.855, + "step": 7027 + }, + { + "epoch": 0.48, + "learning_rate": 5.594689355734426e-06, + "loss": 0.6595, + "step": 7028 + }, + { + "epoch": 0.48, + "learning_rate": 5.593595313286526e-06, + "loss": 0.9332, + "step": 7029 + }, + { + "epoch": 0.48, + "learning_rate": 5.592501242011933e-06, + "loss": 0.6927, + "step": 7030 + }, + { + "epoch": 0.48, + "learning_rate": 5.591407141963777e-06, + "loss": 0.5899, + "step": 7031 + }, + { + "epoch": 0.48, + "learning_rate": 5.590313013195191e-06, + "loss": 0.7695, + "step": 7032 + }, + { + "epoch": 0.48, + "learning_rate": 5.58921885575931e-06, + "loss": 0.7678, + "step": 7033 + }, + { + "epoch": 0.48, + "learning_rate": 5.588124669709268e-06, + "loss": 0.6307, + "step": 7034 + }, + { + "epoch": 0.48, + "learning_rate": 5.587030455098203e-06, + "loss": 0.8225, + "step": 7035 + }, + { + "epoch": 0.48, + "learning_rate": 5.585936211979252e-06, + "loss": 0.8453, + "step": 7036 + }, + { + "epoch": 0.48, + "learning_rate": 5.5848419404055555e-06, + "loss": 0.6746, + "step": 7037 + }, + { + "epoch": 0.48, + "learning_rate": 5.583747640430255e-06, + "loss": 0.7301, + "step": 7038 + }, + { + "epoch": 0.48, + "learning_rate": 5.582653312106491e-06, + "loss": 0.909, + "step": 7039 + }, + { + "epoch": 0.48, + "learning_rate": 5.5815589554874085e-06, + "loss": 1.05, + "step": 7040 + }, + { + "epoch": 0.48, + "learning_rate": 5.5804645706261515e-06, + "loss": 0.6198, + "step": 7041 + }, + { + "epoch": 0.48, + "learning_rate": 5.5793701575758684e-06, + "loss": 0.6823, + "step": 7042 + }, + { + "epoch": 0.48, + "learning_rate": 5.578275716389706e-06, + "loss": 0.7461, + "step": 7043 + }, + { + "epoch": 0.48, + "learning_rate": 5.577181247120814e-06, + "loss": 0.6303, + "step": 7044 + }, + { + "epoch": 0.48, + "learning_rate": 5.576086749822343e-06, + "loss": 0.6769, + "step": 7045 + }, + { + "epoch": 0.48, + "learning_rate": 5.574992224547442e-06, + "loss": 0.6406, + "step": 7046 + }, + { + "epoch": 0.48, + "learning_rate": 5.573897671349269e-06, + "loss": 0.6642, + "step": 7047 + }, + { + "epoch": 0.48, + "learning_rate": 5.572803090280976e-06, + "loss": 0.5763, + "step": 7048 + }, + { + "epoch": 0.48, + "learning_rate": 5.571708481395719e-06, + "loss": 0.8555, + "step": 7049 + }, + { + "epoch": 0.48, + "learning_rate": 5.570613844746654e-06, + "loss": 0.9465, + "step": 7050 + }, + { + "epoch": 0.48, + "learning_rate": 5.5695191803869445e-06, + "loss": 0.7595, + "step": 7051 + }, + { + "epoch": 0.48, + "learning_rate": 5.568424488369746e-06, + "loss": 0.6868, + "step": 7052 + }, + { + "epoch": 0.48, + "learning_rate": 5.567329768748221e-06, + "loss": 0.7313, + "step": 7053 + }, + { + "epoch": 0.48, + "learning_rate": 5.5662350215755335e-06, + "loss": 0.4358, + "step": 7054 + }, + { + "epoch": 0.48, + "learning_rate": 5.5651402469048455e-06, + "loss": 0.7912, + "step": 7055 + }, + { + "epoch": 0.48, + "learning_rate": 5.564045444789324e-06, + "loss": 0.8426, + "step": 7056 + }, + { + "epoch": 0.48, + "learning_rate": 5.562950615282136e-06, + "loss": 0.7905, + "step": 7057 + }, + { + "epoch": 0.48, + "learning_rate": 5.561855758436449e-06, + "loss": 0.9215, + "step": 7058 + }, + { + "epoch": 0.48, + "learning_rate": 5.560760874305432e-06, + "loss": 0.8742, + "step": 7059 + }, + { + "epoch": 0.48, + "learning_rate": 5.559665962942254e-06, + "loss": 0.6145, + "step": 7060 + }, + { + "epoch": 0.48, + "learning_rate": 5.558571024400091e-06, + "loss": 0.7995, + "step": 7061 + }, + { + "epoch": 0.48, + "learning_rate": 5.557476058732115e-06, + "loss": 0.5438, + "step": 7062 + }, + { + "epoch": 0.48, + "learning_rate": 5.5563810659915e-06, + "loss": 0.7513, + "step": 7063 + }, + { + "epoch": 0.48, + "learning_rate": 5.555286046231421e-06, + "loss": 0.5401, + "step": 7064 + }, + { + "epoch": 0.48, + "learning_rate": 5.5541909995050554e-06, + "loss": 0.9673, + "step": 7065 + }, + { + "epoch": 0.48, + "learning_rate": 5.553095925865584e-06, + "loss": 0.7721, + "step": 7066 + }, + { + "epoch": 0.48, + "learning_rate": 5.552000825366186e-06, + "loss": 0.6092, + "step": 7067 + }, + { + "epoch": 0.48, + "learning_rate": 5.550905698060041e-06, + "loss": 0.8777, + "step": 7068 + }, + { + "epoch": 0.48, + "learning_rate": 5.549810544000334e-06, + "loss": 0.9848, + "step": 7069 + }, + { + "epoch": 0.48, + "learning_rate": 5.5487153632402455e-06, + "loss": 0.8896, + "step": 7070 + }, + { + "epoch": 0.48, + "learning_rate": 5.547620155832964e-06, + "loss": 0.7078, + "step": 7071 + }, + { + "epoch": 0.48, + "learning_rate": 5.546524921831674e-06, + "loss": 0.7907, + "step": 7072 + }, + { + "epoch": 0.48, + "learning_rate": 5.545429661289565e-06, + "loss": 1.0871, + "step": 7073 + }, + { + "epoch": 0.48, + "learning_rate": 5.544334374259823e-06, + "loss": 0.8225, + "step": 7074 + }, + { + "epoch": 0.48, + "learning_rate": 5.543239060795642e-06, + "loss": 0.894, + "step": 7075 + }, + { + "epoch": 0.48, + "learning_rate": 5.54214372095021e-06, + "loss": 0.6557, + "step": 7076 + }, + { + "epoch": 0.48, + "learning_rate": 5.541048354776721e-06, + "loss": 0.7479, + "step": 7077 + }, + { + "epoch": 0.48, + "learning_rate": 5.539952962328371e-06, + "loss": 0.8064, + "step": 7078 + }, + { + "epoch": 0.48, + "learning_rate": 5.538857543658353e-06, + "loss": 0.7153, + "step": 7079 + }, + { + "epoch": 0.48, + "learning_rate": 5.537762098819865e-06, + "loss": 0.7334, + "step": 7080 + }, + { + "epoch": 0.48, + "learning_rate": 5.536666627866104e-06, + "loss": 0.5751, + "step": 7081 + }, + { + "epoch": 0.48, + "learning_rate": 5.535571130850271e-06, + "loss": 0.9908, + "step": 7082 + }, + { + "epoch": 0.48, + "learning_rate": 5.534475607825566e-06, + "loss": 0.7918, + "step": 7083 + }, + { + "epoch": 0.48, + "learning_rate": 5.533380058845187e-06, + "loss": 0.8469, + "step": 7084 + }, + { + "epoch": 0.48, + "learning_rate": 5.532284483962341e-06, + "loss": 0.8783, + "step": 7085 + }, + { + "epoch": 0.48, + "learning_rate": 5.531188883230234e-06, + "loss": 0.6788, + "step": 7086 + }, + { + "epoch": 0.48, + "learning_rate": 5.530093256702066e-06, + "loss": 0.8738, + "step": 7087 + }, + { + "epoch": 0.48, + "learning_rate": 5.528997604431047e-06, + "loss": 0.9031, + "step": 7088 + }, + { + "epoch": 0.48, + "learning_rate": 5.527901926470386e-06, + "loss": 0.8492, + "step": 7089 + }, + { + "epoch": 0.48, + "learning_rate": 5.5268062228732885e-06, + "loss": 0.7996, + "step": 7090 + }, + { + "epoch": 0.48, + "learning_rate": 5.52571049369297e-06, + "loss": 0.8877, + "step": 7091 + }, + { + "epoch": 0.48, + "learning_rate": 5.524614738982637e-06, + "loss": 0.8963, + "step": 7092 + }, + { + "epoch": 0.48, + "learning_rate": 5.523518958795507e-06, + "loss": 0.8012, + "step": 7093 + }, + { + "epoch": 0.48, + "learning_rate": 5.522423153184792e-06, + "loss": 0.8044, + "step": 7094 + }, + { + "epoch": 0.48, + "learning_rate": 5.521327322203708e-06, + "loss": 0.7827, + "step": 7095 + }, + { + "epoch": 0.48, + "learning_rate": 5.520231465905471e-06, + "loss": 0.861, + "step": 7096 + }, + { + "epoch": 0.48, + "learning_rate": 5.519135584343301e-06, + "loss": 0.6209, + "step": 7097 + }, + { + "epoch": 0.48, + "learning_rate": 5.518039677570413e-06, + "loss": 0.4939, + "step": 7098 + }, + { + "epoch": 0.48, + "learning_rate": 5.516943745640032e-06, + "loss": 0.7094, + "step": 7099 + }, + { + "epoch": 0.48, + "learning_rate": 5.515847788605379e-06, + "loss": 0.7859, + "step": 7100 + }, + { + "epoch": 0.48, + "learning_rate": 5.514751806519673e-06, + "loss": 0.7072, + "step": 7101 + }, + { + "epoch": 0.48, + "learning_rate": 5.513655799436142e-06, + "loss": 0.7547, + "step": 7102 + }, + { + "epoch": 0.48, + "learning_rate": 5.512559767408008e-06, + "loss": 0.8804, + "step": 7103 + }, + { + "epoch": 0.48, + "learning_rate": 5.5114637104885e-06, + "loss": 0.8271, + "step": 7104 + }, + { + "epoch": 0.48, + "learning_rate": 5.510367628730845e-06, + "loss": 0.6822, + "step": 7105 + }, + { + "epoch": 0.48, + "learning_rate": 5.509271522188271e-06, + "loss": 0.7538, + "step": 7106 + }, + { + "epoch": 0.48, + "learning_rate": 5.50817539091401e-06, + "loss": 0.7843, + "step": 7107 + }, + { + "epoch": 0.48, + "learning_rate": 5.507079234961291e-06, + "loss": 0.7119, + "step": 7108 + }, + { + "epoch": 0.48, + "learning_rate": 5.5059830543833485e-06, + "loss": 0.8353, + "step": 7109 + }, + { + "epoch": 0.48, + "learning_rate": 5.5048868492334165e-06, + "loss": 0.6479, + "step": 7110 + }, + { + "epoch": 0.48, + "learning_rate": 5.5037906195647276e-06, + "loss": 0.5906, + "step": 7111 + }, + { + "epoch": 0.48, + "learning_rate": 5.502694365430517e-06, + "loss": 0.5908, + "step": 7112 + }, + { + "epoch": 0.48, + "learning_rate": 5.5015980868840254e-06, + "loss": 0.6345, + "step": 7113 + }, + { + "epoch": 0.48, + "learning_rate": 5.50050178397849e-06, + "loss": 0.7846, + "step": 7114 + }, + { + "epoch": 0.48, + "learning_rate": 5.49940545676715e-06, + "loss": 0.6244, + "step": 7115 + }, + { + "epoch": 0.48, + "learning_rate": 5.498309105303245e-06, + "loss": 0.6001, + "step": 7116 + }, + { + "epoch": 0.48, + "learning_rate": 5.49721272964002e-06, + "loss": 0.6855, + "step": 7117 + }, + { + "epoch": 0.48, + "learning_rate": 5.496116329830717e-06, + "loss": 0.7029, + "step": 7118 + }, + { + "epoch": 0.48, + "learning_rate": 5.495019905928578e-06, + "loss": 0.776, + "step": 7119 + }, + { + "epoch": 0.48, + "learning_rate": 5.493923457986851e-06, + "loss": 0.7911, + "step": 7120 + }, + { + "epoch": 0.48, + "learning_rate": 5.492826986058782e-06, + "loss": 0.5042, + "step": 7121 + }, + { + "epoch": 0.48, + "learning_rate": 5.491730490197618e-06, + "loss": 0.7427, + "step": 7122 + }, + { + "epoch": 0.48, + "learning_rate": 5.490633970456609e-06, + "loss": 0.6442, + "step": 7123 + }, + { + "epoch": 0.48, + "learning_rate": 5.4895374268890065e-06, + "loss": 1.1152, + "step": 7124 + }, + { + "epoch": 0.48, + "learning_rate": 5.488440859548059e-06, + "loss": 0.6343, + "step": 7125 + }, + { + "epoch": 0.48, + "learning_rate": 5.4873442684870186e-06, + "loss": 0.7737, + "step": 7126 + }, + { + "epoch": 0.48, + "learning_rate": 5.486247653759142e-06, + "loss": 0.8076, + "step": 7127 + }, + { + "epoch": 0.48, + "learning_rate": 5.485151015417683e-06, + "loss": 0.4904, + "step": 7128 + }, + { + "epoch": 0.49, + "learning_rate": 5.484054353515896e-06, + "loss": 0.8037, + "step": 7129 + }, + { + "epoch": 0.49, + "learning_rate": 5.48295766810704e-06, + "loss": 0.6169, + "step": 7130 + }, + { + "epoch": 0.49, + "learning_rate": 5.48186095924437e-06, + "loss": 0.8119, + "step": 7131 + }, + { + "epoch": 0.49, + "learning_rate": 5.48076422698115e-06, + "loss": 0.5632, + "step": 7132 + }, + { + "epoch": 0.49, + "learning_rate": 5.479667471370637e-06, + "loss": 0.9102, + "step": 7133 + }, + { + "epoch": 0.49, + "learning_rate": 5.478570692466093e-06, + "loss": 0.6148, + "step": 7134 + }, + { + "epoch": 0.49, + "learning_rate": 5.477473890320784e-06, + "loss": 0.7189, + "step": 7135 + }, + { + "epoch": 0.49, + "learning_rate": 5.476377064987968e-06, + "loss": 0.6993, + "step": 7136 + }, + { + "epoch": 0.49, + "learning_rate": 5.475280216520913e-06, + "loss": 0.7021, + "step": 7137 + }, + { + "epoch": 0.49, + "learning_rate": 5.474183344972887e-06, + "loss": 0.6399, + "step": 7138 + }, + { + "epoch": 0.49, + "learning_rate": 5.473086450397156e-06, + "loss": 0.5604, + "step": 7139 + }, + { + "epoch": 0.49, + "learning_rate": 5.471989532846987e-06, + "loss": 0.8414, + "step": 7140 + }, + { + "epoch": 0.49, + "learning_rate": 5.4708925923756505e-06, + "loss": 0.8443, + "step": 7141 + }, + { + "epoch": 0.49, + "learning_rate": 5.469795629036416e-06, + "loss": 0.628, + "step": 7142 + }, + { + "epoch": 0.49, + "learning_rate": 5.468698642882557e-06, + "loss": 0.733, + "step": 7143 + }, + { + "epoch": 0.49, + "learning_rate": 5.467601633967346e-06, + "loss": 0.7753, + "step": 7144 + }, + { + "epoch": 0.49, + "learning_rate": 5.466504602344055e-06, + "loss": 0.7402, + "step": 7145 + }, + { + "epoch": 0.49, + "learning_rate": 5.465407548065961e-06, + "loss": 0.8597, + "step": 7146 + }, + { + "epoch": 0.49, + "learning_rate": 5.4643104711863395e-06, + "loss": 0.8382, + "step": 7147 + }, + { + "epoch": 0.49, + "learning_rate": 5.463213371758468e-06, + "loss": 0.8566, + "step": 7148 + }, + { + "epoch": 0.49, + "learning_rate": 5.462116249835624e-06, + "loss": 0.7496, + "step": 7149 + }, + { + "epoch": 0.49, + "learning_rate": 5.461019105471086e-06, + "loss": 0.7949, + "step": 7150 + }, + { + "epoch": 0.49, + "learning_rate": 5.459921938718138e-06, + "loss": 0.7646, + "step": 7151 + }, + { + "epoch": 0.49, + "learning_rate": 5.458824749630059e-06, + "loss": 0.7351, + "step": 7152 + }, + { + "epoch": 0.49, + "learning_rate": 5.4577275382601315e-06, + "loss": 0.7094, + "step": 7153 + }, + { + "epoch": 0.49, + "learning_rate": 5.45663030466164e-06, + "loss": 0.7059, + "step": 7154 + }, + { + "epoch": 0.49, + "learning_rate": 5.455533048887868e-06, + "loss": 0.6865, + "step": 7155 + }, + { + "epoch": 0.49, + "learning_rate": 5.454435770992104e-06, + "loss": 0.8081, + "step": 7156 + }, + { + "epoch": 0.49, + "learning_rate": 5.453338471027633e-06, + "loss": 0.607, + "step": 7157 + }, + { + "epoch": 0.49, + "learning_rate": 5.452241149047742e-06, + "loss": 0.6819, + "step": 7158 + }, + { + "epoch": 0.49, + "learning_rate": 5.451143805105724e-06, + "loss": 0.9042, + "step": 7159 + }, + { + "epoch": 0.49, + "learning_rate": 5.4500464392548645e-06, + "loss": 0.8338, + "step": 7160 + }, + { + "epoch": 0.49, + "learning_rate": 5.448949051548459e-06, + "loss": 0.75, + "step": 7161 + }, + { + "epoch": 0.49, + "learning_rate": 5.4478516420397975e-06, + "loss": 1.0632, + "step": 7162 + }, + { + "epoch": 0.49, + "learning_rate": 5.446754210782173e-06, + "loss": 0.6613, + "step": 7163 + }, + { + "epoch": 0.49, + "learning_rate": 5.44565675782888e-06, + "loss": 0.8744, + "step": 7164 + }, + { + "epoch": 0.49, + "learning_rate": 5.444559283233216e-06, + "loss": 0.4653, + "step": 7165 + }, + { + "epoch": 0.49, + "learning_rate": 5.443461787048475e-06, + "loss": 0.6771, + "step": 7166 + }, + { + "epoch": 0.49, + "learning_rate": 5.4423642693279556e-06, + "loss": 0.4915, + "step": 7167 + }, + { + "epoch": 0.49, + "learning_rate": 5.441266730124957e-06, + "loss": 1.0827, + "step": 7168 + }, + { + "epoch": 0.49, + "learning_rate": 5.440169169492779e-06, + "loss": 1.0016, + "step": 7169 + }, + { + "epoch": 0.49, + "learning_rate": 5.43907158748472e-06, + "loss": 0.7939, + "step": 7170 + }, + { + "epoch": 0.49, + "learning_rate": 5.437973984154084e-06, + "loss": 0.9624, + "step": 7171 + }, + { + "epoch": 0.49, + "learning_rate": 5.436876359554173e-06, + "loss": 0.9469, + "step": 7172 + }, + { + "epoch": 0.49, + "learning_rate": 5.435778713738292e-06, + "loss": 0.8461, + "step": 7173 + }, + { + "epoch": 0.49, + "learning_rate": 5.4346810467597435e-06, + "loss": 0.9806, + "step": 7174 + }, + { + "epoch": 0.49, + "learning_rate": 5.433583358671836e-06, + "loss": 0.7238, + "step": 7175 + }, + { + "epoch": 0.49, + "learning_rate": 5.4324856495278735e-06, + "loss": 0.743, + "step": 7176 + }, + { + "epoch": 0.49, + "learning_rate": 5.431387919381166e-06, + "loss": 0.7743, + "step": 7177 + }, + { + "epoch": 0.49, + "learning_rate": 5.430290168285022e-06, + "loss": 0.806, + "step": 7178 + }, + { + "epoch": 0.49, + "learning_rate": 5.42919239629275e-06, + "loss": 0.6227, + "step": 7179 + }, + { + "epoch": 0.49, + "learning_rate": 5.4280946034576635e-06, + "loss": 0.834, + "step": 7180 + }, + { + "epoch": 0.49, + "learning_rate": 5.426996789833072e-06, + "loss": 0.5312, + "step": 7181 + }, + { + "epoch": 0.49, + "learning_rate": 5.425898955472291e-06, + "loss": 0.7407, + "step": 7182 + }, + { + "epoch": 0.49, + "learning_rate": 5.424801100428633e-06, + "loss": 0.5689, + "step": 7183 + }, + { + "epoch": 0.49, + "learning_rate": 5.423703224755414e-06, + "loss": 0.8461, + "step": 7184 + }, + { + "epoch": 0.49, + "learning_rate": 5.4226053285059466e-06, + "loss": 0.6077, + "step": 7185 + }, + { + "epoch": 0.49, + "learning_rate": 5.421507411733553e-06, + "loss": 0.7392, + "step": 7186 + }, + { + "epoch": 0.49, + "learning_rate": 5.420409474491548e-06, + "loss": 0.8056, + "step": 7187 + }, + { + "epoch": 0.49, + "learning_rate": 5.41931151683325e-06, + "loss": 0.6661, + "step": 7188 + }, + { + "epoch": 0.49, + "learning_rate": 5.418213538811982e-06, + "loss": 0.7301, + "step": 7189 + }, + { + "epoch": 0.49, + "learning_rate": 5.417115540481062e-06, + "loss": 0.6692, + "step": 7190 + }, + { + "epoch": 0.49, + "learning_rate": 5.416017521893813e-06, + "loss": 0.6561, + "step": 7191 + }, + { + "epoch": 0.49, + "learning_rate": 5.414919483103557e-06, + "loss": 0.7357, + "step": 7192 + }, + { + "epoch": 0.49, + "learning_rate": 5.41382142416362e-06, + "loss": 0.7294, + "step": 7193 + }, + { + "epoch": 0.49, + "learning_rate": 5.412723345127325e-06, + "loss": 0.758, + "step": 7194 + }, + { + "epoch": 0.49, + "learning_rate": 5.411625246048e-06, + "loss": 0.6169, + "step": 7195 + }, + { + "epoch": 0.49, + "learning_rate": 5.41052712697897e-06, + "loss": 0.5509, + "step": 7196 + }, + { + "epoch": 0.49, + "learning_rate": 5.409428987973564e-06, + "loss": 0.7271, + "step": 7197 + }, + { + "epoch": 0.49, + "learning_rate": 5.4083308290851085e-06, + "loss": 0.8595, + "step": 7198 + }, + { + "epoch": 0.49, + "learning_rate": 5.407232650366936e-06, + "loss": 0.7933, + "step": 7199 + }, + { + "epoch": 0.49, + "learning_rate": 5.4061344518723765e-06, + "loss": 0.8138, + "step": 7200 + }, + { + "epoch": 0.49, + "learning_rate": 5.40503623365476e-06, + "loss": 0.6985, + "step": 7201 + }, + { + "epoch": 0.49, + "learning_rate": 5.403937995767421e-06, + "loss": 0.7763, + "step": 7202 + }, + { + "epoch": 0.49, + "learning_rate": 5.402839738263693e-06, + "loss": 0.5654, + "step": 7203 + }, + { + "epoch": 0.49, + "learning_rate": 5.40174146119691e-06, + "loss": 0.4192, + "step": 7204 + }, + { + "epoch": 0.49, + "learning_rate": 5.4006431646204075e-06, + "loss": 0.7882, + "step": 7205 + }, + { + "epoch": 0.49, + "learning_rate": 5.3995448485875205e-06, + "loss": 0.5784, + "step": 7206 + }, + { + "epoch": 0.49, + "learning_rate": 5.398446513151589e-06, + "loss": 0.7678, + "step": 7207 + }, + { + "epoch": 0.49, + "learning_rate": 5.397348158365949e-06, + "loss": 0.5742, + "step": 7208 + }, + { + "epoch": 0.49, + "learning_rate": 5.396249784283943e-06, + "loss": 1.1703, + "step": 7209 + }, + { + "epoch": 0.49, + "learning_rate": 5.395151390958908e-06, + "loss": 0.6696, + "step": 7210 + }, + { + "epoch": 0.49, + "learning_rate": 5.394052978444187e-06, + "loss": 0.5561, + "step": 7211 + }, + { + "epoch": 0.49, + "learning_rate": 5.39295454679312e-06, + "loss": 0.7087, + "step": 7212 + }, + { + "epoch": 0.49, + "learning_rate": 5.3918560960590526e-06, + "loss": 0.7363, + "step": 7213 + }, + { + "epoch": 0.49, + "learning_rate": 5.390757626295327e-06, + "loss": 0.9712, + "step": 7214 + }, + { + "epoch": 0.49, + "learning_rate": 5.389659137555287e-06, + "loss": 0.7078, + "step": 7215 + }, + { + "epoch": 0.49, + "learning_rate": 5.388560629892282e-06, + "loss": 0.7826, + "step": 7216 + }, + { + "epoch": 0.49, + "learning_rate": 5.387462103359655e-06, + "loss": 0.734, + "step": 7217 + }, + { + "epoch": 0.49, + "learning_rate": 5.386363558010756e-06, + "loss": 0.6357, + "step": 7218 + }, + { + "epoch": 0.49, + "learning_rate": 5.3852649938989335e-06, + "loss": 0.7846, + "step": 7219 + }, + { + "epoch": 0.49, + "learning_rate": 5.3841664110775334e-06, + "loss": 0.6584, + "step": 7220 + }, + { + "epoch": 0.49, + "learning_rate": 5.3830678095999125e-06, + "loss": 0.8496, + "step": 7221 + }, + { + "epoch": 0.49, + "learning_rate": 5.381969189519415e-06, + "loss": 0.581, + "step": 7222 + }, + { + "epoch": 0.49, + "learning_rate": 5.380870550889398e-06, + "loss": 0.6771, + "step": 7223 + }, + { + "epoch": 0.49, + "learning_rate": 5.379771893763212e-06, + "loss": 0.6611, + "step": 7224 + }, + { + "epoch": 0.49, + "learning_rate": 5.3786732181942135e-06, + "loss": 0.7257, + "step": 7225 + }, + { + "epoch": 0.49, + "learning_rate": 5.3775745242357525e-06, + "loss": 1.007, + "step": 7226 + }, + { + "epoch": 0.49, + "learning_rate": 5.3764758119411905e-06, + "loss": 0.7649, + "step": 7227 + }, + { + "epoch": 0.49, + "learning_rate": 5.3753770813638815e-06, + "loss": 0.794, + "step": 7228 + }, + { + "epoch": 0.49, + "learning_rate": 5.374278332557183e-06, + "loss": 0.724, + "step": 7229 + }, + { + "epoch": 0.49, + "learning_rate": 5.373179565574453e-06, + "loss": 0.6055, + "step": 7230 + }, + { + "epoch": 0.49, + "learning_rate": 5.37208078046905e-06, + "loss": 0.7275, + "step": 7231 + }, + { + "epoch": 0.49, + "learning_rate": 5.370981977294336e-06, + "loss": 0.6894, + "step": 7232 + }, + { + "epoch": 0.49, + "learning_rate": 5.369883156103672e-06, + "loss": 0.7184, + "step": 7233 + }, + { + "epoch": 0.49, + "learning_rate": 5.36878431695042e-06, + "loss": 0.719, + "step": 7234 + }, + { + "epoch": 0.49, + "learning_rate": 5.367685459887941e-06, + "loss": 0.7555, + "step": 7235 + }, + { + "epoch": 0.49, + "learning_rate": 5.3665865849695995e-06, + "loss": 0.6083, + "step": 7236 + }, + { + "epoch": 0.49, + "learning_rate": 5.365487692248761e-06, + "loss": 0.6888, + "step": 7237 + }, + { + "epoch": 0.49, + "learning_rate": 5.364388781778791e-06, + "loss": 0.8837, + "step": 7238 + }, + { + "epoch": 0.49, + "learning_rate": 5.363289853613054e-06, + "loss": 1.0, + "step": 7239 + }, + { + "epoch": 0.49, + "learning_rate": 5.362190907804919e-06, + "loss": 0.9777, + "step": 7240 + }, + { + "epoch": 0.49, + "learning_rate": 5.361091944407751e-06, + "loss": 0.8037, + "step": 7241 + }, + { + "epoch": 0.49, + "learning_rate": 5.3599929634749215e-06, + "loss": 0.6306, + "step": 7242 + }, + { + "epoch": 0.49, + "learning_rate": 5.3588939650598e-06, + "loss": 0.797, + "step": 7243 + }, + { + "epoch": 0.49, + "learning_rate": 5.357794949215756e-06, + "loss": 0.6103, + "step": 7244 + }, + { + "epoch": 0.49, + "learning_rate": 5.356695915996162e-06, + "loss": 0.6575, + "step": 7245 + }, + { + "epoch": 0.49, + "learning_rate": 5.35559686545439e-06, + "loss": 0.7246, + "step": 7246 + }, + { + "epoch": 0.49, + "learning_rate": 5.354497797643812e-06, + "loss": 1.0417, + "step": 7247 + }, + { + "epoch": 0.49, + "learning_rate": 5.353398712617802e-06, + "loss": 0.5668, + "step": 7248 + }, + { + "epoch": 0.49, + "learning_rate": 5.352299610429737e-06, + "loss": 0.7654, + "step": 7249 + }, + { + "epoch": 0.49, + "learning_rate": 5.351200491132988e-06, + "loss": 0.7077, + "step": 7250 + }, + { + "epoch": 0.49, + "learning_rate": 5.3501013547809376e-06, + "loss": 0.8143, + "step": 7251 + }, + { + "epoch": 0.49, + "learning_rate": 5.349002201426957e-06, + "loss": 0.6909, + "step": 7252 + }, + { + "epoch": 0.49, + "learning_rate": 5.347903031124428e-06, + "loss": 0.8384, + "step": 7253 + }, + { + "epoch": 0.49, + "learning_rate": 5.346803843926728e-06, + "loss": 0.8078, + "step": 7254 + }, + { + "epoch": 0.49, + "learning_rate": 5.345704639887237e-06, + "loss": 0.5397, + "step": 7255 + }, + { + "epoch": 0.49, + "learning_rate": 5.344605419059336e-06, + "loss": 0.7115, + "step": 7256 + }, + { + "epoch": 0.49, + "learning_rate": 5.343506181496405e-06, + "loss": 0.6996, + "step": 7257 + }, + { + "epoch": 0.49, + "learning_rate": 5.342406927251827e-06, + "loss": 0.7846, + "step": 7258 + }, + { + "epoch": 0.49, + "learning_rate": 5.341307656378988e-06, + "loss": 0.7392, + "step": 7259 + }, + { + "epoch": 0.49, + "learning_rate": 5.3402083689312644e-06, + "loss": 0.7437, + "step": 7260 + }, + { + "epoch": 0.49, + "learning_rate": 5.339109064962047e-06, + "loss": 0.7358, + "step": 7261 + }, + { + "epoch": 0.49, + "learning_rate": 5.33800974452472e-06, + "loss": 0.6628, + "step": 7262 + }, + { + "epoch": 0.49, + "learning_rate": 5.336910407672668e-06, + "loss": 0.6928, + "step": 7263 + }, + { + "epoch": 0.49, + "learning_rate": 5.335811054459277e-06, + "loss": 0.9761, + "step": 7264 + }, + { + "epoch": 0.49, + "learning_rate": 5.334711684937939e-06, + "loss": 0.8011, + "step": 7265 + }, + { + "epoch": 0.49, + "learning_rate": 5.333612299162039e-06, + "loss": 0.81, + "step": 7266 + }, + { + "epoch": 0.49, + "learning_rate": 5.332512897184967e-06, + "loss": 0.8454, + "step": 7267 + }, + { + "epoch": 0.49, + "learning_rate": 5.3314134790601145e-06, + "loss": 0.8352, + "step": 7268 + }, + { + "epoch": 0.49, + "learning_rate": 5.330314044840871e-06, + "loss": 0.6424, + "step": 7269 + }, + { + "epoch": 0.49, + "learning_rate": 5.3292145945806275e-06, + "loss": 0.552, + "step": 7270 + }, + { + "epoch": 0.49, + "learning_rate": 5.328115128332778e-06, + "loss": 0.911, + "step": 7271 + }, + { + "epoch": 0.49, + "learning_rate": 5.327015646150716e-06, + "loss": 0.6512, + "step": 7272 + }, + { + "epoch": 0.49, + "learning_rate": 5.3259161480878354e-06, + "loss": 0.5867, + "step": 7273 + }, + { + "epoch": 0.49, + "learning_rate": 5.3248166341975275e-06, + "loss": 0.7302, + "step": 7274 + }, + { + "epoch": 0.49, + "learning_rate": 5.323717104533193e-06, + "loss": 0.926, + "step": 7275 + }, + { + "epoch": 0.5, + "learning_rate": 5.322617559148225e-06, + "loss": 0.7736, + "step": 7276 + }, + { + "epoch": 0.5, + "learning_rate": 5.321517998096023e-06, + "loss": 0.7877, + "step": 7277 + }, + { + "epoch": 0.5, + "learning_rate": 5.320418421429982e-06, + "loss": 0.633, + "step": 7278 + }, + { + "epoch": 0.5, + "learning_rate": 5.319318829203501e-06, + "loss": 0.7623, + "step": 7279 + }, + { + "epoch": 0.5, + "learning_rate": 5.3182192214699825e-06, + "loss": 0.7011, + "step": 7280 + }, + { + "epoch": 0.5, + "learning_rate": 5.317119598282823e-06, + "loss": 0.5809, + "step": 7281 + }, + { + "epoch": 0.5, + "learning_rate": 5.316019959695426e-06, + "loss": 0.7597, + "step": 7282 + }, + { + "epoch": 0.5, + "learning_rate": 5.314920305761191e-06, + "loss": 0.797, + "step": 7283 + }, + { + "epoch": 0.5, + "learning_rate": 5.313820636533521e-06, + "loss": 0.7725, + "step": 7284 + }, + { + "epoch": 0.5, + "learning_rate": 5.312720952065819e-06, + "loss": 0.7621, + "step": 7285 + }, + { + "epoch": 0.5, + "learning_rate": 5.311621252411491e-06, + "loss": 0.5408, + "step": 7286 + }, + { + "epoch": 0.5, + "learning_rate": 5.310521537623938e-06, + "loss": 0.9781, + "step": 7287 + }, + { + "epoch": 0.5, + "learning_rate": 5.309421807756568e-06, + "loss": 0.7862, + "step": 7288 + }, + { + "epoch": 0.5, + "learning_rate": 5.308322062862786e-06, + "loss": 0.751, + "step": 7289 + }, + { + "epoch": 0.5, + "learning_rate": 5.307222302995998e-06, + "loss": 0.8159, + "step": 7290 + }, + { + "epoch": 0.5, + "learning_rate": 5.306122528209613e-06, + "loss": 0.6645, + "step": 7291 + }, + { + "epoch": 0.5, + "learning_rate": 5.305022738557039e-06, + "loss": 0.7991, + "step": 7292 + }, + { + "epoch": 0.5, + "learning_rate": 5.303922934091684e-06, + "loss": 0.9329, + "step": 7293 + }, + { + "epoch": 0.5, + "learning_rate": 5.302823114866959e-06, + "loss": 0.8983, + "step": 7294 + }, + { + "epoch": 0.5, + "learning_rate": 5.301723280936271e-06, + "loss": 0.7725, + "step": 7295 + }, + { + "epoch": 0.5, + "learning_rate": 5.300623432353036e-06, + "loss": 0.7046, + "step": 7296 + }, + { + "epoch": 0.5, + "learning_rate": 5.2995235691706645e-06, + "loss": 0.7809, + "step": 7297 + }, + { + "epoch": 0.5, + "learning_rate": 5.298423691442566e-06, + "loss": 0.674, + "step": 7298 + }, + { + "epoch": 0.5, + "learning_rate": 5.297323799222156e-06, + "loss": 0.6787, + "step": 7299 + }, + { + "epoch": 0.5, + "learning_rate": 5.296223892562849e-06, + "loss": 0.8469, + "step": 7300 + }, + { + "epoch": 0.5, + "learning_rate": 5.295123971518058e-06, + "loss": 1.0231, + "step": 7301 + }, + { + "epoch": 0.5, + "learning_rate": 5.294024036141199e-06, + "loss": 0.8936, + "step": 7302 + }, + { + "epoch": 0.5, + "learning_rate": 5.292924086485689e-06, + "loss": 0.8668, + "step": 7303 + }, + { + "epoch": 0.5, + "learning_rate": 5.291824122604944e-06, + "loss": 0.6587, + "step": 7304 + }, + { + "epoch": 0.5, + "learning_rate": 5.290724144552379e-06, + "loss": 0.8349, + "step": 7305 + }, + { + "epoch": 0.5, + "learning_rate": 5.289624152381416e-06, + "loss": 0.6516, + "step": 7306 + }, + { + "epoch": 0.5, + "learning_rate": 5.288524146145473e-06, + "loss": 0.7395, + "step": 7307 + }, + { + "epoch": 0.5, + "learning_rate": 5.287424125897967e-06, + "loss": 0.8186, + "step": 7308 + }, + { + "epoch": 0.5, + "learning_rate": 5.286324091692321e-06, + "loss": 0.5829, + "step": 7309 + }, + { + "epoch": 0.5, + "learning_rate": 5.285224043581954e-06, + "loss": 0.9535, + "step": 7310 + }, + { + "epoch": 0.5, + "learning_rate": 5.284123981620289e-06, + "loss": 0.6646, + "step": 7311 + }, + { + "epoch": 0.5, + "learning_rate": 5.2830239058607446e-06, + "loss": 0.437, + "step": 7312 + }, + { + "epoch": 0.5, + "learning_rate": 5.281923816356748e-06, + "loss": 0.7079, + "step": 7313 + }, + { + "epoch": 0.5, + "learning_rate": 5.280823713161721e-06, + "loss": 0.5479, + "step": 7314 + }, + { + "epoch": 0.5, + "learning_rate": 5.2797235963290885e-06, + "loss": 0.6564, + "step": 7315 + }, + { + "epoch": 0.5, + "learning_rate": 5.278623465912273e-06, + "loss": 0.8085, + "step": 7316 + }, + { + "epoch": 0.5, + "learning_rate": 5.277523321964701e-06, + "loss": 0.5198, + "step": 7317 + }, + { + "epoch": 0.5, + "learning_rate": 5.276423164539801e-06, + "loss": 0.8617, + "step": 7318 + }, + { + "epoch": 0.5, + "learning_rate": 5.275322993690998e-06, + "loss": 0.9833, + "step": 7319 + }, + { + "epoch": 0.5, + "learning_rate": 5.274222809471719e-06, + "loss": 0.6882, + "step": 7320 + }, + { + "epoch": 0.5, + "learning_rate": 5.2731226119353915e-06, + "loss": 0.9727, + "step": 7321 + }, + { + "epoch": 0.5, + "learning_rate": 5.272022401135446e-06, + "loss": 1.0454, + "step": 7322 + }, + { + "epoch": 0.5, + "learning_rate": 5.270922177125312e-06, + "loss": 0.4973, + "step": 7323 + }, + { + "epoch": 0.5, + "learning_rate": 5.2698219399584195e-06, + "loss": 0.7438, + "step": 7324 + }, + { + "epoch": 0.5, + "learning_rate": 5.268721689688197e-06, + "loss": 0.6303, + "step": 7325 + }, + { + "epoch": 0.5, + "learning_rate": 5.267621426368076e-06, + "loss": 0.7029, + "step": 7326 + }, + { + "epoch": 0.5, + "learning_rate": 5.266521150051492e-06, + "loss": 0.7849, + "step": 7327 + }, + { + "epoch": 0.5, + "learning_rate": 5.2654208607918745e-06, + "loss": 0.7829, + "step": 7328 + }, + { + "epoch": 0.5, + "learning_rate": 5.264320558642657e-06, + "loss": 0.5021, + "step": 7329 + }, + { + "epoch": 0.5, + "learning_rate": 5.263220243657274e-06, + "loss": 0.7508, + "step": 7330 + }, + { + "epoch": 0.5, + "learning_rate": 5.262119915889161e-06, + "loss": 0.9317, + "step": 7331 + }, + { + "epoch": 0.5, + "learning_rate": 5.261019575391751e-06, + "loss": 0.7189, + "step": 7332 + }, + { + "epoch": 0.5, + "learning_rate": 5.25991922221848e-06, + "loss": 0.5384, + "step": 7333 + }, + { + "epoch": 0.5, + "learning_rate": 5.258818856422785e-06, + "loss": 0.5088, + "step": 7334 + }, + { + "epoch": 0.5, + "learning_rate": 5.257718478058105e-06, + "loss": 0.4803, + "step": 7335 + }, + { + "epoch": 0.5, + "learning_rate": 5.256618087177872e-06, + "loss": 0.6791, + "step": 7336 + }, + { + "epoch": 0.5, + "learning_rate": 5.255517683835528e-06, + "loss": 0.9218, + "step": 7337 + }, + { + "epoch": 0.5, + "learning_rate": 5.254417268084514e-06, + "loss": 1.1387, + "step": 7338 + }, + { + "epoch": 0.5, + "learning_rate": 5.2533168399782646e-06, + "loss": 0.6337, + "step": 7339 + }, + { + "epoch": 0.5, + "learning_rate": 5.25221639957022e-06, + "loss": 0.9125, + "step": 7340 + }, + { + "epoch": 0.5, + "learning_rate": 5.251115946913826e-06, + "loss": 0.9676, + "step": 7341 + }, + { + "epoch": 0.5, + "learning_rate": 5.250015482062518e-06, + "loss": 0.8494, + "step": 7342 + }, + { + "epoch": 0.5, + "learning_rate": 5.248915005069741e-06, + "loss": 0.8329, + "step": 7343 + }, + { + "epoch": 0.5, + "learning_rate": 5.247814515988936e-06, + "loss": 0.8074, + "step": 7344 + }, + { + "epoch": 0.5, + "learning_rate": 5.246714014873545e-06, + "loss": 0.6812, + "step": 7345 + }, + { + "epoch": 0.5, + "learning_rate": 5.245613501777014e-06, + "loss": 1.0409, + "step": 7346 + }, + { + "epoch": 0.5, + "learning_rate": 5.2445129767527844e-06, + "loss": 0.6106, + "step": 7347 + }, + { + "epoch": 0.5, + "learning_rate": 5.243412439854304e-06, + "loss": 0.8921, + "step": 7348 + }, + { + "epoch": 0.5, + "learning_rate": 5.242311891135016e-06, + "loss": 0.5003, + "step": 7349 + }, + { + "epoch": 0.5, + "learning_rate": 5.241211330648365e-06, + "loss": 0.5798, + "step": 7350 + }, + { + "epoch": 0.5, + "learning_rate": 5.2401107584478e-06, + "loss": 0.5697, + "step": 7351 + }, + { + "epoch": 0.5, + "learning_rate": 5.239010174586767e-06, + "loss": 0.9384, + "step": 7352 + }, + { + "epoch": 0.5, + "learning_rate": 5.237909579118713e-06, + "loss": 0.6234, + "step": 7353 + }, + { + "epoch": 0.5, + "learning_rate": 5.236808972097085e-06, + "loss": 0.7158, + "step": 7354 + }, + { + "epoch": 0.5, + "learning_rate": 5.235708353575335e-06, + "loss": 0.6284, + "step": 7355 + }, + { + "epoch": 0.5, + "learning_rate": 5.234607723606908e-06, + "loss": 0.6482, + "step": 7356 + }, + { + "epoch": 0.5, + "learning_rate": 5.233507082245258e-06, + "loss": 0.6823, + "step": 7357 + }, + { + "epoch": 0.5, + "learning_rate": 5.232406429543833e-06, + "loss": 0.7616, + "step": 7358 + }, + { + "epoch": 0.5, + "learning_rate": 5.231305765556083e-06, + "loss": 0.6914, + "step": 7359 + }, + { + "epoch": 0.5, + "learning_rate": 5.230205090335461e-06, + "loss": 0.6345, + "step": 7360 + }, + { + "epoch": 0.5, + "learning_rate": 5.229104403935419e-06, + "loss": 0.8332, + "step": 7361 + }, + { + "epoch": 0.5, + "learning_rate": 5.228003706409409e-06, + "loss": 0.7014, + "step": 7362 + }, + { + "epoch": 0.5, + "learning_rate": 5.226902997810883e-06, + "loss": 0.7428, + "step": 7363 + }, + { + "epoch": 0.5, + "learning_rate": 5.225802278193296e-06, + "loss": 0.7539, + "step": 7364 + }, + { + "epoch": 0.5, + "learning_rate": 5.2247015476101025e-06, + "loss": 0.6642, + "step": 7365 + }, + { + "epoch": 0.5, + "learning_rate": 5.223600806114756e-06, + "loss": 0.6749, + "step": 7366 + }, + { + "epoch": 0.5, + "learning_rate": 5.2225000537607115e-06, + "loss": 0.9208, + "step": 7367 + }, + { + "epoch": 0.5, + "learning_rate": 5.221399290601426e-06, + "loss": 0.8276, + "step": 7368 + }, + { + "epoch": 0.5, + "learning_rate": 5.220298516690353e-06, + "loss": 1.0633, + "step": 7369 + }, + { + "epoch": 0.5, + "learning_rate": 5.219197732080954e-06, + "loss": 0.7429, + "step": 7370 + }, + { + "epoch": 0.5, + "learning_rate": 5.218096936826681e-06, + "loss": 0.6633, + "step": 7371 + }, + { + "epoch": 0.5, + "learning_rate": 5.216996130980995e-06, + "loss": 0.6241, + "step": 7372 + }, + { + "epoch": 0.5, + "learning_rate": 5.215895314597355e-06, + "loss": 0.7674, + "step": 7373 + }, + { + "epoch": 0.5, + "learning_rate": 5.2147944877292145e-06, + "loss": 0.895, + "step": 7374 + }, + { + "epoch": 0.5, + "learning_rate": 5.21369365043004e-06, + "loss": 1.0185, + "step": 7375 + }, + { + "epoch": 0.5, + "learning_rate": 5.2125928027532865e-06, + "loss": 0.5324, + "step": 7376 + }, + { + "epoch": 0.5, + "learning_rate": 5.2114919447524155e-06, + "loss": 0.7959, + "step": 7377 + }, + { + "epoch": 0.5, + "learning_rate": 5.210391076480888e-06, + "loss": 0.6819, + "step": 7378 + }, + { + "epoch": 0.5, + "learning_rate": 5.209290197992167e-06, + "loss": 0.8603, + "step": 7379 + }, + { + "epoch": 0.5, + "learning_rate": 5.208189309339713e-06, + "loss": 0.7058, + "step": 7380 + }, + { + "epoch": 0.5, + "learning_rate": 5.207088410576986e-06, + "loss": 0.6903, + "step": 7381 + }, + { + "epoch": 0.5, + "learning_rate": 5.2059875017574525e-06, + "loss": 0.8166, + "step": 7382 + }, + { + "epoch": 0.5, + "learning_rate": 5.204886582934573e-06, + "loss": 0.8884, + "step": 7383 + }, + { + "epoch": 0.5, + "learning_rate": 5.203785654161814e-06, + "loss": 0.784, + "step": 7384 + }, + { + "epoch": 0.5, + "learning_rate": 5.202684715492635e-06, + "loss": 0.9714, + "step": 7385 + }, + { + "epoch": 0.5, + "learning_rate": 5.201583766980506e-06, + "loss": 0.7744, + "step": 7386 + }, + { + "epoch": 0.5, + "learning_rate": 5.200482808678892e-06, + "loss": 0.5048, + "step": 7387 + }, + { + "epoch": 0.5, + "learning_rate": 5.199381840641253e-06, + "loss": 0.6929, + "step": 7388 + }, + { + "epoch": 0.5, + "learning_rate": 5.198280862921062e-06, + "loss": 0.7961, + "step": 7389 + }, + { + "epoch": 0.5, + "learning_rate": 5.197179875571782e-06, + "loss": 0.831, + "step": 7390 + }, + { + "epoch": 0.5, + "learning_rate": 5.196078878646881e-06, + "loss": 0.5596, + "step": 7391 + }, + { + "epoch": 0.5, + "learning_rate": 5.194977872199826e-06, + "loss": 0.7222, + "step": 7392 + }, + { + "epoch": 0.5, + "learning_rate": 5.193876856284085e-06, + "loss": 0.5798, + "step": 7393 + }, + { + "epoch": 0.5, + "learning_rate": 5.192775830953126e-06, + "loss": 0.7135, + "step": 7394 + }, + { + "epoch": 0.5, + "learning_rate": 5.19167479626042e-06, + "loss": 0.8446, + "step": 7395 + }, + { + "epoch": 0.5, + "learning_rate": 5.190573752259436e-06, + "loss": 1.0469, + "step": 7396 + }, + { + "epoch": 0.5, + "learning_rate": 5.189472699003642e-06, + "loss": 0.4403, + "step": 7397 + }, + { + "epoch": 0.5, + "learning_rate": 5.188371636546508e-06, + "loss": 0.7095, + "step": 7398 + }, + { + "epoch": 0.5, + "learning_rate": 5.187270564941509e-06, + "loss": 0.6395, + "step": 7399 + }, + { + "epoch": 0.5, + "learning_rate": 5.186169484242113e-06, + "loss": 0.6431, + "step": 7400 + }, + { + "epoch": 0.5, + "learning_rate": 5.185068394501791e-06, + "loss": 0.8404, + "step": 7401 + }, + { + "epoch": 0.5, + "learning_rate": 5.1839672957740165e-06, + "loss": 0.6236, + "step": 7402 + }, + { + "epoch": 0.5, + "learning_rate": 5.182866188112262e-06, + "loss": 0.4962, + "step": 7403 + }, + { + "epoch": 0.5, + "learning_rate": 5.18176507157e-06, + "loss": 0.7305, + "step": 7404 + }, + { + "epoch": 0.5, + "learning_rate": 5.1806639462007024e-06, + "loss": 0.8418, + "step": 7405 + }, + { + "epoch": 0.5, + "learning_rate": 5.179562812057845e-06, + "loss": 0.7313, + "step": 7406 + }, + { + "epoch": 0.5, + "learning_rate": 5.178461669194903e-06, + "loss": 0.8523, + "step": 7407 + }, + { + "epoch": 0.5, + "learning_rate": 5.17736051766535e-06, + "loss": 0.6789, + "step": 7408 + }, + { + "epoch": 0.5, + "learning_rate": 5.176259357522658e-06, + "loss": 0.9304, + "step": 7409 + }, + { + "epoch": 0.5, + "learning_rate": 5.175158188820307e-06, + "loss": 0.8562, + "step": 7410 + }, + { + "epoch": 0.5, + "learning_rate": 5.174057011611771e-06, + "loss": 0.7349, + "step": 7411 + }, + { + "epoch": 0.5, + "learning_rate": 5.172955825950526e-06, + "loss": 0.5917, + "step": 7412 + }, + { + "epoch": 0.5, + "learning_rate": 5.171854631890049e-06, + "loss": 0.7869, + "step": 7413 + }, + { + "epoch": 0.5, + "learning_rate": 5.17075342948382e-06, + "loss": 0.7335, + "step": 7414 + }, + { + "epoch": 0.5, + "learning_rate": 5.169652218785313e-06, + "loss": 0.8441, + "step": 7415 + }, + { + "epoch": 0.5, + "learning_rate": 5.168550999848005e-06, + "loss": 0.5818, + "step": 7416 + }, + { + "epoch": 0.5, + "learning_rate": 5.1674497727253766e-06, + "loss": 0.8897, + "step": 7417 + }, + { + "epoch": 0.5, + "learning_rate": 5.1663485374709065e-06, + "loss": 0.6675, + "step": 7418 + }, + { + "epoch": 0.5, + "learning_rate": 5.165247294138074e-06, + "loss": 0.6454, + "step": 7419 + }, + { + "epoch": 0.5, + "learning_rate": 5.164146042780358e-06, + "loss": 0.7878, + "step": 7420 + }, + { + "epoch": 0.5, + "learning_rate": 5.163044783451239e-06, + "loss": 0.5803, + "step": 7421 + }, + { + "epoch": 0.5, + "learning_rate": 5.161943516204197e-06, + "loss": 0.7005, + "step": 7422 + }, + { + "epoch": 0.51, + "learning_rate": 5.16084224109271e-06, + "loss": 0.54, + "step": 7423 + }, + { + "epoch": 0.51, + "learning_rate": 5.159740958170265e-06, + "loss": 0.5869, + "step": 7424 + }, + { + "epoch": 0.51, + "learning_rate": 5.15863966749034e-06, + "loss": 0.5978, + "step": 7425 + }, + { + "epoch": 0.51, + "learning_rate": 5.157538369106414e-06, + "loss": 0.7242, + "step": 7426 + }, + { + "epoch": 0.51, + "learning_rate": 5.1564370630719755e-06, + "loss": 0.8411, + "step": 7427 + }, + { + "epoch": 0.51, + "learning_rate": 5.1553357494405024e-06, + "loss": 0.6917, + "step": 7428 + }, + { + "epoch": 0.51, + "learning_rate": 5.154234428265478e-06, + "loss": 0.8958, + "step": 7429 + }, + { + "epoch": 0.51, + "learning_rate": 5.153133099600388e-06, + "loss": 0.7947, + "step": 7430 + }, + { + "epoch": 0.51, + "learning_rate": 5.152031763498715e-06, + "loss": 0.7043, + "step": 7431 + }, + { + "epoch": 0.51, + "learning_rate": 5.150930420013942e-06, + "loss": 0.8923, + "step": 7432 + }, + { + "epoch": 0.51, + "learning_rate": 5.149829069199555e-06, + "loss": 0.8099, + "step": 7433 + }, + { + "epoch": 0.51, + "learning_rate": 5.1487277111090375e-06, + "loss": 0.6185, + "step": 7434 + }, + { + "epoch": 0.51, + "learning_rate": 5.147626345795876e-06, + "loss": 0.5358, + "step": 7435 + }, + { + "epoch": 0.51, + "learning_rate": 5.146524973313553e-06, + "loss": 0.7594, + "step": 7436 + }, + { + "epoch": 0.51, + "learning_rate": 5.145423593715558e-06, + "loss": 0.6148, + "step": 7437 + }, + { + "epoch": 0.51, + "learning_rate": 5.144322207055375e-06, + "loss": 0.9189, + "step": 7438 + }, + { + "epoch": 0.51, + "learning_rate": 5.143220813386491e-06, + "loss": 0.8064, + "step": 7439 + }, + { + "epoch": 0.51, + "learning_rate": 5.142119412762392e-06, + "loss": 0.6074, + "step": 7440 + }, + { + "epoch": 0.51, + "learning_rate": 5.141018005236567e-06, + "loss": 0.8501, + "step": 7441 + }, + { + "epoch": 0.51, + "learning_rate": 5.139916590862504e-06, + "loss": 0.9951, + "step": 7442 + }, + { + "epoch": 0.51, + "learning_rate": 5.138815169693687e-06, + "loss": 0.8359, + "step": 7443 + }, + { + "epoch": 0.51, + "learning_rate": 5.137713741783608e-06, + "loss": 0.9816, + "step": 7444 + }, + { + "epoch": 0.51, + "learning_rate": 5.136612307185753e-06, + "loss": 0.712, + "step": 7445 + }, + { + "epoch": 0.51, + "learning_rate": 5.1355108659536135e-06, + "loss": 0.7941, + "step": 7446 + }, + { + "epoch": 0.51, + "learning_rate": 5.134409418140675e-06, + "loss": 0.895, + "step": 7447 + }, + { + "epoch": 0.51, + "learning_rate": 5.133307963800429e-06, + "loss": 0.7744, + "step": 7448 + }, + { + "epoch": 0.51, + "learning_rate": 5.132206502986368e-06, + "loss": 0.9718, + "step": 7449 + }, + { + "epoch": 0.51, + "learning_rate": 5.131105035751977e-06, + "loss": 0.8622, + "step": 7450 + }, + { + "epoch": 0.51, + "learning_rate": 5.130003562150748e-06, + "loss": 0.759, + "step": 7451 + }, + { + "epoch": 0.51, + "learning_rate": 5.1289020822361755e-06, + "loss": 0.7876, + "step": 7452 + }, + { + "epoch": 0.51, + "learning_rate": 5.1278005960617465e-06, + "loss": 0.5714, + "step": 7453 + }, + { + "epoch": 0.51, + "learning_rate": 5.126699103680952e-06, + "loss": 0.6231, + "step": 7454 + }, + { + "epoch": 0.51, + "learning_rate": 5.1255976051472865e-06, + "loss": 0.767, + "step": 7455 + }, + { + "epoch": 0.51, + "learning_rate": 5.12449610051424e-06, + "loss": 0.8496, + "step": 7456 + }, + { + "epoch": 0.51, + "learning_rate": 5.1233945898353055e-06, + "loss": 1.0513, + "step": 7457 + }, + { + "epoch": 0.51, + "learning_rate": 5.122293073163974e-06, + "loss": 0.8668, + "step": 7458 + }, + { + "epoch": 0.51, + "learning_rate": 5.121191550553741e-06, + "loss": 0.8056, + "step": 7459 + }, + { + "epoch": 0.51, + "learning_rate": 5.120090022058099e-06, + "loss": 0.8593, + "step": 7460 + }, + { + "epoch": 0.51, + "learning_rate": 5.118988487730537e-06, + "loss": 0.5268, + "step": 7461 + }, + { + "epoch": 0.51, + "learning_rate": 5.1178869476245554e-06, + "loss": 0.7409, + "step": 7462 + }, + { + "epoch": 0.51, + "learning_rate": 5.116785401793645e-06, + "loss": 0.8445, + "step": 7463 + }, + { + "epoch": 0.51, + "learning_rate": 5.115683850291298e-06, + "loss": 0.5498, + "step": 7464 + }, + { + "epoch": 0.51, + "learning_rate": 5.114582293171012e-06, + "loss": 0.6884, + "step": 7465 + }, + { + "epoch": 0.51, + "learning_rate": 5.113480730486281e-06, + "loss": 0.7448, + "step": 7466 + }, + { + "epoch": 0.51, + "learning_rate": 5.112379162290599e-06, + "loss": 0.7274, + "step": 7467 + }, + { + "epoch": 0.51, + "learning_rate": 5.111277588637462e-06, + "loss": 0.9593, + "step": 7468 + }, + { + "epoch": 0.51, + "learning_rate": 5.110176009580365e-06, + "loss": 0.7727, + "step": 7469 + }, + { + "epoch": 0.51, + "learning_rate": 5.109074425172806e-06, + "loss": 0.7305, + "step": 7470 + }, + { + "epoch": 0.51, + "learning_rate": 5.107972835468279e-06, + "loss": 0.6494, + "step": 7471 + }, + { + "epoch": 0.51, + "learning_rate": 5.10687124052028e-06, + "loss": 0.8601, + "step": 7472 + }, + { + "epoch": 0.51, + "learning_rate": 5.105769640382309e-06, + "loss": 0.6649, + "step": 7473 + }, + { + "epoch": 0.51, + "learning_rate": 5.1046680351078584e-06, + "loss": 0.6075, + "step": 7474 + }, + { + "epoch": 0.51, + "learning_rate": 5.103566424750427e-06, + "loss": 0.7803, + "step": 7475 + }, + { + "epoch": 0.51, + "learning_rate": 5.102464809363514e-06, + "loss": 0.4694, + "step": 7476 + }, + { + "epoch": 0.51, + "learning_rate": 5.101363189000614e-06, + "loss": 0.8587, + "step": 7477 + }, + { + "epoch": 0.51, + "learning_rate": 5.100261563715227e-06, + "loss": 0.9147, + "step": 7478 + }, + { + "epoch": 0.51, + "learning_rate": 5.099159933560851e-06, + "loss": 0.8047, + "step": 7479 + }, + { + "epoch": 0.51, + "learning_rate": 5.098058298590983e-06, + "loss": 0.7654, + "step": 7480 + }, + { + "epoch": 0.51, + "learning_rate": 5.096956658859122e-06, + "loss": 0.7084, + "step": 7481 + }, + { + "epoch": 0.51, + "learning_rate": 5.095855014418768e-06, + "loss": 0.7345, + "step": 7482 + }, + { + "epoch": 0.51, + "learning_rate": 5.094753365323419e-06, + "loss": 0.6485, + "step": 7483 + }, + { + "epoch": 0.51, + "learning_rate": 5.093651711626575e-06, + "loss": 0.5931, + "step": 7484 + }, + { + "epoch": 0.51, + "learning_rate": 5.092550053381733e-06, + "loss": 0.8541, + "step": 7485 + }, + { + "epoch": 0.51, + "learning_rate": 5.091448390642395e-06, + "loss": 0.7227, + "step": 7486 + }, + { + "epoch": 0.51, + "learning_rate": 5.090346723462062e-06, + "loss": 0.8029, + "step": 7487 + }, + { + "epoch": 0.51, + "learning_rate": 5.089245051894231e-06, + "loss": 0.8445, + "step": 7488 + }, + { + "epoch": 0.51, + "learning_rate": 5.088143375992404e-06, + "loss": 0.7003, + "step": 7489 + }, + { + "epoch": 0.51, + "learning_rate": 5.087041695810082e-06, + "loss": 0.6397, + "step": 7490 + }, + { + "epoch": 0.51, + "learning_rate": 5.0859400114007654e-06, + "loss": 0.7398, + "step": 7491 + }, + { + "epoch": 0.51, + "learning_rate": 5.084838322817954e-06, + "loss": 1.02, + "step": 7492 + }, + { + "epoch": 0.51, + "learning_rate": 5.083736630115151e-06, + "loss": 0.7619, + "step": 7493 + }, + { + "epoch": 0.51, + "learning_rate": 5.082634933345856e-06, + "loss": 0.6195, + "step": 7494 + }, + { + "epoch": 0.51, + "learning_rate": 5.0815332325635715e-06, + "loss": 0.6495, + "step": 7495 + }, + { + "epoch": 0.51, + "learning_rate": 5.080431527821798e-06, + "loss": 0.8017, + "step": 7496 + }, + { + "epoch": 0.51, + "learning_rate": 5.07932981917404e-06, + "loss": 0.8151, + "step": 7497 + }, + { + "epoch": 0.51, + "learning_rate": 5.078228106673798e-06, + "loss": 0.7887, + "step": 7498 + }, + { + "epoch": 0.51, + "learning_rate": 5.077126390374573e-06, + "loss": 0.8572, + "step": 7499 + }, + { + "epoch": 0.51, + "learning_rate": 5.076024670329871e-06, + "loss": 0.746, + "step": 7500 + }, + { + "epoch": 0.51, + "learning_rate": 5.074922946593192e-06, + "loss": 0.7937, + "step": 7501 + }, + { + "epoch": 0.51, + "learning_rate": 5.073821219218037e-06, + "loss": 1.0072, + "step": 7502 + }, + { + "epoch": 0.51, + "learning_rate": 5.072719488257915e-06, + "loss": 0.9544, + "step": 7503 + }, + { + "epoch": 0.51, + "learning_rate": 5.071617753766324e-06, + "loss": 0.8775, + "step": 7504 + }, + { + "epoch": 0.51, + "learning_rate": 5.0705160157967685e-06, + "loss": 0.7003, + "step": 7505 + }, + { + "epoch": 0.51, + "learning_rate": 5.069414274402753e-06, + "loss": 0.573, + "step": 7506 + }, + { + "epoch": 0.51, + "learning_rate": 5.068312529637781e-06, + "loss": 0.7422, + "step": 7507 + }, + { + "epoch": 0.51, + "learning_rate": 5.0672107815553576e-06, + "loss": 0.8875, + "step": 7508 + }, + { + "epoch": 0.51, + "learning_rate": 5.066109030208985e-06, + "loss": 0.4633, + "step": 7509 + }, + { + "epoch": 0.51, + "learning_rate": 5.065007275652166e-06, + "loss": 0.8879, + "step": 7510 + }, + { + "epoch": 0.51, + "learning_rate": 5.06390551793841e-06, + "loss": 0.6673, + "step": 7511 + }, + { + "epoch": 0.51, + "learning_rate": 5.062803757121216e-06, + "loss": 0.5129, + "step": 7512 + }, + { + "epoch": 0.51, + "learning_rate": 5.061701993254092e-06, + "loss": 0.6631, + "step": 7513 + }, + { + "epoch": 0.51, + "learning_rate": 5.060600226390543e-06, + "loss": 0.6394, + "step": 7514 + }, + { + "epoch": 0.51, + "learning_rate": 5.059498456584072e-06, + "loss": 0.5213, + "step": 7515 + }, + { + "epoch": 0.51, + "learning_rate": 5.058396683888184e-06, + "loss": 0.5229, + "step": 7516 + }, + { + "epoch": 0.51, + "learning_rate": 5.057294908356387e-06, + "loss": 0.6982, + "step": 7517 + }, + { + "epoch": 0.51, + "learning_rate": 5.056193130042184e-06, + "loss": 0.7812, + "step": 7518 + }, + { + "epoch": 0.51, + "learning_rate": 5.05509134899908e-06, + "loss": 0.7626, + "step": 7519 + }, + { + "epoch": 0.51, + "learning_rate": 5.0539895652805834e-06, + "loss": 0.5447, + "step": 7520 + }, + { + "epoch": 0.51, + "learning_rate": 5.052887778940199e-06, + "loss": 0.7061, + "step": 7521 + }, + { + "epoch": 0.51, + "learning_rate": 5.0517859900314316e-06, + "loss": 0.685, + "step": 7522 + }, + { + "epoch": 0.51, + "learning_rate": 5.050684198607786e-06, + "loss": 0.6089, + "step": 7523 + }, + { + "epoch": 0.51, + "learning_rate": 5.049582404722771e-06, + "loss": 0.9142, + "step": 7524 + }, + { + "epoch": 0.51, + "learning_rate": 5.048480608429893e-06, + "loss": 1.003, + "step": 7525 + }, + { + "epoch": 0.51, + "learning_rate": 5.047378809782656e-06, + "loss": 0.5332, + "step": 7526 + }, + { + "epoch": 0.51, + "learning_rate": 5.046277008834568e-06, + "loss": 0.5546, + "step": 7527 + }, + { + "epoch": 0.51, + "learning_rate": 5.0451752056391365e-06, + "loss": 0.7482, + "step": 7528 + }, + { + "epoch": 0.51, + "learning_rate": 5.044073400249867e-06, + "loss": 0.8212, + "step": 7529 + }, + { + "epoch": 0.51, + "learning_rate": 5.042971592720267e-06, + "loss": 0.5354, + "step": 7530 + }, + { + "epoch": 0.51, + "learning_rate": 5.041869783103842e-06, + "loss": 0.6427, + "step": 7531 + }, + { + "epoch": 0.51, + "learning_rate": 5.0407679714541e-06, + "loss": 0.5968, + "step": 7532 + }, + { + "epoch": 0.51, + "learning_rate": 5.039666157824549e-06, + "loss": 0.6412, + "step": 7533 + }, + { + "epoch": 0.51, + "learning_rate": 5.038564342268695e-06, + "loss": 0.7758, + "step": 7534 + }, + { + "epoch": 0.51, + "learning_rate": 5.037462524840045e-06, + "loss": 0.7287, + "step": 7535 + }, + { + "epoch": 0.51, + "learning_rate": 5.03636070559211e-06, + "loss": 0.9336, + "step": 7536 + }, + { + "epoch": 0.51, + "learning_rate": 5.035258884578392e-06, + "loss": 0.7978, + "step": 7537 + }, + { + "epoch": 0.51, + "learning_rate": 5.0341570618524014e-06, + "loss": 0.607, + "step": 7538 + }, + { + "epoch": 0.51, + "learning_rate": 5.033055237467646e-06, + "loss": 0.8106, + "step": 7539 + }, + { + "epoch": 0.51, + "learning_rate": 5.031953411477633e-06, + "loss": 0.6572, + "step": 7540 + }, + { + "epoch": 0.51, + "learning_rate": 5.030851583935872e-06, + "loss": 0.8816, + "step": 7541 + }, + { + "epoch": 0.51, + "learning_rate": 5.029749754895869e-06, + "loss": 0.8131, + "step": 7542 + }, + { + "epoch": 0.51, + "learning_rate": 5.028647924411132e-06, + "loss": 0.705, + "step": 7543 + }, + { + "epoch": 0.51, + "learning_rate": 5.0275460925351694e-06, + "loss": 0.602, + "step": 7544 + }, + { + "epoch": 0.51, + "learning_rate": 5.026444259321489e-06, + "loss": 0.6442, + "step": 7545 + }, + { + "epoch": 0.51, + "learning_rate": 5.0253424248236e-06, + "loss": 0.7547, + "step": 7546 + }, + { + "epoch": 0.51, + "learning_rate": 5.02424058909501e-06, + "loss": 0.8364, + "step": 7547 + }, + { + "epoch": 0.51, + "learning_rate": 5.023138752189227e-06, + "loss": 0.7501, + "step": 7548 + }, + { + "epoch": 0.51, + "learning_rate": 5.022036914159762e-06, + "loss": 0.8655, + "step": 7549 + }, + { + "epoch": 0.51, + "learning_rate": 5.020935075060117e-06, + "loss": 0.8306, + "step": 7550 + }, + { + "epoch": 0.51, + "learning_rate": 5.019833234943806e-06, + "loss": 0.6687, + "step": 7551 + }, + { + "epoch": 0.51, + "learning_rate": 5.018731393864339e-06, + "loss": 0.5789, + "step": 7552 + }, + { + "epoch": 0.51, + "learning_rate": 5.017629551875219e-06, + "loss": 0.9726, + "step": 7553 + }, + { + "epoch": 0.51, + "learning_rate": 5.016527709029957e-06, + "loss": 0.6215, + "step": 7554 + }, + { + "epoch": 0.51, + "learning_rate": 5.015425865382064e-06, + "loss": 0.8175, + "step": 7555 + }, + { + "epoch": 0.51, + "learning_rate": 5.014324020985045e-06, + "loss": 0.7006, + "step": 7556 + }, + { + "epoch": 0.51, + "learning_rate": 5.013222175892411e-06, + "loss": 0.4354, + "step": 7557 + }, + { + "epoch": 0.51, + "learning_rate": 5.012120330157671e-06, + "loss": 0.5866, + "step": 7558 + }, + { + "epoch": 0.51, + "learning_rate": 5.011018483834331e-06, + "loss": 0.8917, + "step": 7559 + }, + { + "epoch": 0.51, + "learning_rate": 5.009916636975903e-06, + "loss": 0.6304, + "step": 7560 + }, + { + "epoch": 0.51, + "learning_rate": 5.008814789635894e-06, + "loss": 0.7379, + "step": 7561 + }, + { + "epoch": 0.51, + "learning_rate": 5.007712941867814e-06, + "loss": 0.8366, + "step": 7562 + }, + { + "epoch": 0.51, + "learning_rate": 5.006611093725172e-06, + "loss": 0.7476, + "step": 7563 + }, + { + "epoch": 0.51, + "learning_rate": 5.005509245261475e-06, + "loss": 0.7416, + "step": 7564 + }, + { + "epoch": 0.51, + "learning_rate": 5.004407396530234e-06, + "loss": 0.7897, + "step": 7565 + }, + { + "epoch": 0.51, + "learning_rate": 5.0033055475849575e-06, + "loss": 0.5161, + "step": 7566 + }, + { + "epoch": 0.51, + "learning_rate": 5.002203698479154e-06, + "loss": 0.3551, + "step": 7567 + }, + { + "epoch": 0.51, + "learning_rate": 5.001101849266332e-06, + "loss": 0.7371, + "step": 7568 + }, + { + "epoch": 0.51, + "learning_rate": 5e-06, + "loss": 0.7516, + "step": 7569 + }, + { + "epoch": 0.52, + "learning_rate": 4.998898150733671e-06, + "loss": 0.7818, + "step": 7570 + }, + { + "epoch": 0.52, + "learning_rate": 4.997796301520848e-06, + "loss": 0.6086, + "step": 7571 + }, + { + "epoch": 0.52, + "learning_rate": 4.996694452415044e-06, + "loss": 0.5691, + "step": 7572 + }, + { + "epoch": 0.52, + "learning_rate": 4.9955926034697675e-06, + "loss": 0.6279, + "step": 7573 + }, + { + "epoch": 0.52, + "learning_rate": 4.994490754738526e-06, + "loss": 0.533, + "step": 7574 + }, + { + "epoch": 0.52, + "learning_rate": 4.993388906274829e-06, + "loss": 0.694, + "step": 7575 + }, + { + "epoch": 0.52, + "learning_rate": 4.992287058132188e-06, + "loss": 0.622, + "step": 7576 + }, + { + "epoch": 0.52, + "learning_rate": 4.9911852103641065e-06, + "loss": 0.7682, + "step": 7577 + }, + { + "epoch": 0.52, + "learning_rate": 4.990083363024098e-06, + "loss": 0.8093, + "step": 7578 + }, + { + "epoch": 0.52, + "learning_rate": 4.98898151616567e-06, + "loss": 0.669, + "step": 7579 + }, + { + "epoch": 0.52, + "learning_rate": 4.987879669842333e-06, + "loss": 0.6275, + "step": 7580 + }, + { + "epoch": 0.52, + "learning_rate": 4.98677782410759e-06, + "loss": 0.771, + "step": 7581 + }, + { + "epoch": 0.52, + "learning_rate": 4.985675979014956e-06, + "loss": 0.6716, + "step": 7582 + }, + { + "epoch": 0.52, + "learning_rate": 4.9845741346179386e-06, + "loss": 0.6631, + "step": 7583 + }, + { + "epoch": 0.52, + "learning_rate": 4.983472290970043e-06, + "loss": 0.6412, + "step": 7584 + }, + { + "epoch": 0.52, + "learning_rate": 4.982370448124783e-06, + "loss": 0.7205, + "step": 7585 + }, + { + "epoch": 0.52, + "learning_rate": 4.981268606135664e-06, + "loss": 0.6577, + "step": 7586 + }, + { + "epoch": 0.52, + "learning_rate": 4.980166765056194e-06, + "loss": 0.7821, + "step": 7587 + }, + { + "epoch": 0.52, + "learning_rate": 4.979064924939884e-06, + "loss": 0.796, + "step": 7588 + }, + { + "epoch": 0.52, + "learning_rate": 4.977963085840242e-06, + "loss": 0.7587, + "step": 7589 + }, + { + "epoch": 0.52, + "learning_rate": 4.9768612478107735e-06, + "loss": 0.3871, + "step": 7590 + }, + { + "epoch": 0.52, + "learning_rate": 4.975759410904992e-06, + "loss": 0.6674, + "step": 7591 + }, + { + "epoch": 0.52, + "learning_rate": 4.974657575176401e-06, + "loss": 0.5517, + "step": 7592 + }, + { + "epoch": 0.52, + "learning_rate": 4.973555740678512e-06, + "loss": 0.687, + "step": 7593 + }, + { + "epoch": 0.52, + "learning_rate": 4.972453907464832e-06, + "loss": 0.8512, + "step": 7594 + }, + { + "epoch": 0.52, + "learning_rate": 4.97135207558887e-06, + "loss": 0.636, + "step": 7595 + }, + { + "epoch": 0.52, + "learning_rate": 4.970250245104132e-06, + "loss": 0.8849, + "step": 7596 + }, + { + "epoch": 0.52, + "learning_rate": 4.969148416064129e-06, + "loss": 0.6213, + "step": 7597 + }, + { + "epoch": 0.52, + "learning_rate": 4.968046588522368e-06, + "loss": 0.5466, + "step": 7598 + }, + { + "epoch": 0.52, + "learning_rate": 4.966944762532356e-06, + "loss": 0.8454, + "step": 7599 + }, + { + "epoch": 0.52, + "learning_rate": 4.965842938147599e-06, + "loss": 0.8147, + "step": 7600 + }, + { + "epoch": 0.52, + "learning_rate": 4.96474111542161e-06, + "loss": 0.7458, + "step": 7601 + }, + { + "epoch": 0.52, + "learning_rate": 4.963639294407893e-06, + "loss": 0.6843, + "step": 7602 + }, + { + "epoch": 0.52, + "learning_rate": 4.9625374751599546e-06, + "loss": 0.6568, + "step": 7603 + }, + { + "epoch": 0.52, + "learning_rate": 4.961435657731307e-06, + "loss": 0.7931, + "step": 7604 + }, + { + "epoch": 0.52, + "learning_rate": 4.960333842175453e-06, + "loss": 0.7776, + "step": 7605 + }, + { + "epoch": 0.52, + "learning_rate": 4.9592320285459e-06, + "loss": 0.5535, + "step": 7606 + }, + { + "epoch": 0.52, + "learning_rate": 4.9581302168961595e-06, + "loss": 1.0089, + "step": 7607 + }, + { + "epoch": 0.52, + "learning_rate": 4.9570284072797356e-06, + "loss": 0.6762, + "step": 7608 + }, + { + "epoch": 0.52, + "learning_rate": 4.955926599750134e-06, + "loss": 0.7578, + "step": 7609 + }, + { + "epoch": 0.52, + "learning_rate": 4.954824794360864e-06, + "loss": 0.7576, + "step": 7610 + }, + { + "epoch": 0.52, + "learning_rate": 4.953722991165433e-06, + "loss": 0.3719, + "step": 7611 + }, + { + "epoch": 0.52, + "learning_rate": 4.952621190217344e-06, + "loss": 0.5504, + "step": 7612 + }, + { + "epoch": 0.52, + "learning_rate": 4.951519391570108e-06, + "loss": 0.6405, + "step": 7613 + }, + { + "epoch": 0.52, + "learning_rate": 4.95041759527723e-06, + "loss": 0.6549, + "step": 7614 + }, + { + "epoch": 0.52, + "learning_rate": 4.949315801392215e-06, + "loss": 0.8572, + "step": 7615 + }, + { + "epoch": 0.52, + "learning_rate": 4.94821400996857e-06, + "loss": 0.9144, + "step": 7616 + }, + { + "epoch": 0.52, + "learning_rate": 4.947112221059803e-06, + "loss": 0.9693, + "step": 7617 + }, + { + "epoch": 0.52, + "learning_rate": 4.946010434719419e-06, + "loss": 0.7393, + "step": 7618 + }, + { + "epoch": 0.52, + "learning_rate": 4.944908651000921e-06, + "loss": 1.0144, + "step": 7619 + }, + { + "epoch": 0.52, + "learning_rate": 4.9438068699578175e-06, + "loss": 0.8301, + "step": 7620 + }, + { + "epoch": 0.52, + "learning_rate": 4.9427050916436155e-06, + "loss": 0.7658, + "step": 7621 + }, + { + "epoch": 0.52, + "learning_rate": 4.941603316111817e-06, + "loss": 0.9539, + "step": 7622 + }, + { + "epoch": 0.52, + "learning_rate": 4.940501543415929e-06, + "loss": 0.584, + "step": 7623 + }, + { + "epoch": 0.52, + "learning_rate": 4.939399773609459e-06, + "loss": 0.7017, + "step": 7624 + }, + { + "epoch": 0.52, + "learning_rate": 4.938298006745909e-06, + "loss": 1.0206, + "step": 7625 + }, + { + "epoch": 0.52, + "learning_rate": 4.937196242878785e-06, + "loss": 0.8725, + "step": 7626 + }, + { + "epoch": 0.52, + "learning_rate": 4.936094482061592e-06, + "loss": 0.8798, + "step": 7627 + }, + { + "epoch": 0.52, + "learning_rate": 4.934992724347834e-06, + "loss": 0.8182, + "step": 7628 + }, + { + "epoch": 0.52, + "learning_rate": 4.933890969791018e-06, + "loss": 1.0827, + "step": 7629 + }, + { + "epoch": 0.52, + "learning_rate": 4.932789218444644e-06, + "loss": 0.8015, + "step": 7630 + }, + { + "epoch": 0.52, + "learning_rate": 4.931687470362219e-06, + "loss": 0.6256, + "step": 7631 + }, + { + "epoch": 0.52, + "learning_rate": 4.9305857255972485e-06, + "loss": 0.5784, + "step": 7632 + }, + { + "epoch": 0.52, + "learning_rate": 4.929483984203232e-06, + "loss": 0.8957, + "step": 7633 + }, + { + "epoch": 0.52, + "learning_rate": 4.92838224623368e-06, + "loss": 0.7228, + "step": 7634 + }, + { + "epoch": 0.52, + "learning_rate": 4.927280511742087e-06, + "loss": 0.698, + "step": 7635 + }, + { + "epoch": 0.52, + "learning_rate": 4.926178780781965e-06, + "loss": 0.8248, + "step": 7636 + }, + { + "epoch": 0.52, + "learning_rate": 4.9250770534068115e-06, + "loss": 0.4748, + "step": 7637 + }, + { + "epoch": 0.52, + "learning_rate": 4.9239753296701305e-06, + "loss": 0.7998, + "step": 7638 + }, + { + "epoch": 0.52, + "learning_rate": 4.922873609625428e-06, + "loss": 0.7532, + "step": 7639 + }, + { + "epoch": 0.52, + "learning_rate": 4.921771893326204e-06, + "loss": 0.7278, + "step": 7640 + }, + { + "epoch": 0.52, + "learning_rate": 4.9206701808259605e-06, + "loss": 0.7638, + "step": 7641 + }, + { + "epoch": 0.52, + "learning_rate": 4.9195684721782025e-06, + "loss": 0.6202, + "step": 7642 + }, + { + "epoch": 0.52, + "learning_rate": 4.91846676743643e-06, + "loss": 0.6916, + "step": 7643 + }, + { + "epoch": 0.52, + "learning_rate": 4.917365066654144e-06, + "loss": 0.5515, + "step": 7644 + }, + { + "epoch": 0.52, + "learning_rate": 4.916263369884851e-06, + "loss": 0.733, + "step": 7645 + }, + { + "epoch": 0.52, + "learning_rate": 4.915161677182048e-06, + "loss": 0.8241, + "step": 7646 + }, + { + "epoch": 0.52, + "learning_rate": 4.914059988599235e-06, + "loss": 0.8602, + "step": 7647 + }, + { + "epoch": 0.52, + "learning_rate": 4.912958304189919e-06, + "loss": 0.8883, + "step": 7648 + }, + { + "epoch": 0.52, + "learning_rate": 4.911856624007598e-06, + "loss": 0.7047, + "step": 7649 + }, + { + "epoch": 0.52, + "learning_rate": 4.91075494810577e-06, + "loss": 0.9486, + "step": 7650 + }, + { + "epoch": 0.52, + "learning_rate": 4.90965327653794e-06, + "loss": 0.5987, + "step": 7651 + }, + { + "epoch": 0.52, + "learning_rate": 4.908551609357606e-06, + "loss": 0.5963, + "step": 7652 + }, + { + "epoch": 0.52, + "learning_rate": 4.907449946618268e-06, + "loss": 0.72, + "step": 7653 + }, + { + "epoch": 0.52, + "learning_rate": 4.906348288373426e-06, + "loss": 0.5958, + "step": 7654 + }, + { + "epoch": 0.52, + "learning_rate": 4.905246634676582e-06, + "loss": 0.8658, + "step": 7655 + }, + { + "epoch": 0.52, + "learning_rate": 4.904144985581234e-06, + "loss": 0.7458, + "step": 7656 + }, + { + "epoch": 0.52, + "learning_rate": 4.903043341140879e-06, + "loss": 0.5441, + "step": 7657 + }, + { + "epoch": 0.52, + "learning_rate": 4.901941701409018e-06, + "loss": 0.7212, + "step": 7658 + }, + { + "epoch": 0.52, + "learning_rate": 4.900840066439151e-06, + "loss": 0.8536, + "step": 7659 + }, + { + "epoch": 0.52, + "learning_rate": 4.899738436284774e-06, + "loss": 0.8426, + "step": 7660 + }, + { + "epoch": 0.52, + "learning_rate": 4.8986368109993865e-06, + "loss": 0.8184, + "step": 7661 + }, + { + "epoch": 0.52, + "learning_rate": 4.897535190636489e-06, + "loss": 0.8215, + "step": 7662 + }, + { + "epoch": 0.52, + "learning_rate": 4.896433575249574e-06, + "loss": 0.7698, + "step": 7663 + }, + { + "epoch": 0.52, + "learning_rate": 4.895331964892144e-06, + "loss": 0.7413, + "step": 7664 + }, + { + "epoch": 0.52, + "learning_rate": 4.894230359617693e-06, + "loss": 0.7976, + "step": 7665 + }, + { + "epoch": 0.52, + "learning_rate": 4.893128759479719e-06, + "loss": 0.5359, + "step": 7666 + }, + { + "epoch": 0.52, + "learning_rate": 4.892027164531722e-06, + "loss": 0.5772, + "step": 7667 + }, + { + "epoch": 0.52, + "learning_rate": 4.890925574827195e-06, + "loss": 0.6775, + "step": 7668 + }, + { + "epoch": 0.52, + "learning_rate": 4.889823990419635e-06, + "loss": 0.6714, + "step": 7669 + }, + { + "epoch": 0.52, + "learning_rate": 4.888722411362539e-06, + "loss": 0.8836, + "step": 7670 + }, + { + "epoch": 0.52, + "learning_rate": 4.8876208377094025e-06, + "loss": 0.8585, + "step": 7671 + }, + { + "epoch": 0.52, + "learning_rate": 4.886519269513721e-06, + "loss": 0.6886, + "step": 7672 + }, + { + "epoch": 0.52, + "learning_rate": 4.885417706828989e-06, + "loss": 0.8066, + "step": 7673 + }, + { + "epoch": 0.52, + "learning_rate": 4.884316149708704e-06, + "loss": 0.6975, + "step": 7674 + }, + { + "epoch": 0.52, + "learning_rate": 4.8832145982063575e-06, + "loss": 0.9089, + "step": 7675 + }, + { + "epoch": 0.52, + "learning_rate": 4.882113052375445e-06, + "loss": 0.729, + "step": 7676 + }, + { + "epoch": 0.52, + "learning_rate": 4.881011512269464e-06, + "loss": 0.7594, + "step": 7677 + }, + { + "epoch": 0.52, + "learning_rate": 4.879909977941904e-06, + "loss": 0.4678, + "step": 7678 + }, + { + "epoch": 0.52, + "learning_rate": 4.878808449446259e-06, + "loss": 0.798, + "step": 7679 + }, + { + "epoch": 0.52, + "learning_rate": 4.8777069268360264e-06, + "loss": 0.7582, + "step": 7680 + }, + { + "epoch": 0.52, + "learning_rate": 4.876605410164696e-06, + "loss": 0.8045, + "step": 7681 + }, + { + "epoch": 0.52, + "learning_rate": 4.87550389948576e-06, + "loss": 0.8745, + "step": 7682 + }, + { + "epoch": 0.52, + "learning_rate": 4.874402394852715e-06, + "loss": 0.9464, + "step": 7683 + }, + { + "epoch": 0.52, + "learning_rate": 4.87330089631905e-06, + "loss": 0.7823, + "step": 7684 + }, + { + "epoch": 0.52, + "learning_rate": 4.872199403938255e-06, + "loss": 0.9005, + "step": 7685 + }, + { + "epoch": 0.52, + "learning_rate": 4.871097917763825e-06, + "loss": 0.7033, + "step": 7686 + }, + { + "epoch": 0.52, + "learning_rate": 4.8699964378492535e-06, + "loss": 0.9758, + "step": 7687 + }, + { + "epoch": 0.52, + "learning_rate": 4.868894964248024e-06, + "loss": 0.6426, + "step": 7688 + }, + { + "epoch": 0.52, + "learning_rate": 4.867793497013634e-06, + "loss": 0.5582, + "step": 7689 + }, + { + "epoch": 0.52, + "learning_rate": 4.866692036199573e-06, + "loss": 0.6714, + "step": 7690 + }, + { + "epoch": 0.52, + "learning_rate": 4.865590581859327e-06, + "loss": 0.6945, + "step": 7691 + }, + { + "epoch": 0.52, + "learning_rate": 4.864489134046388e-06, + "loss": 0.8144, + "step": 7692 + }, + { + "epoch": 0.52, + "learning_rate": 4.863387692814249e-06, + "loss": 0.7455, + "step": 7693 + }, + { + "epoch": 0.52, + "learning_rate": 4.862286258216396e-06, + "loss": 0.7138, + "step": 7694 + }, + { + "epoch": 0.52, + "learning_rate": 4.861184830306314e-06, + "loss": 0.4454, + "step": 7695 + }, + { + "epoch": 0.52, + "learning_rate": 4.8600834091374986e-06, + "loss": 0.8906, + "step": 7696 + }, + { + "epoch": 0.52, + "learning_rate": 4.858981994763435e-06, + "loss": 0.7212, + "step": 7697 + }, + { + "epoch": 0.52, + "learning_rate": 4.8578805872376085e-06, + "loss": 0.855, + "step": 7698 + }, + { + "epoch": 0.52, + "learning_rate": 4.85677918661351e-06, + "loss": 0.7632, + "step": 7699 + }, + { + "epoch": 0.52, + "learning_rate": 4.855677792944627e-06, + "loss": 0.5261, + "step": 7700 + }, + { + "epoch": 0.52, + "learning_rate": 4.854576406284443e-06, + "loss": 0.7779, + "step": 7701 + }, + { + "epoch": 0.52, + "learning_rate": 4.853475026686449e-06, + "loss": 0.7887, + "step": 7702 + }, + { + "epoch": 0.52, + "learning_rate": 4.852373654204126e-06, + "loss": 0.9662, + "step": 7703 + }, + { + "epoch": 0.52, + "learning_rate": 4.851272288890963e-06, + "loss": 0.9399, + "step": 7704 + }, + { + "epoch": 0.52, + "learning_rate": 4.850170930800447e-06, + "loss": 0.7983, + "step": 7705 + }, + { + "epoch": 0.52, + "learning_rate": 4.84906957998606e-06, + "loss": 0.7999, + "step": 7706 + }, + { + "epoch": 0.52, + "learning_rate": 4.8479682365012855e-06, + "loss": 1.0233, + "step": 7707 + }, + { + "epoch": 0.52, + "learning_rate": 4.846866900399613e-06, + "loss": 0.6734, + "step": 7708 + }, + { + "epoch": 0.52, + "learning_rate": 4.845765571734522e-06, + "loss": 0.753, + "step": 7709 + }, + { + "epoch": 0.52, + "learning_rate": 4.8446642505595e-06, + "loss": 0.8964, + "step": 7710 + }, + { + "epoch": 0.52, + "learning_rate": 4.843562936928026e-06, + "loss": 0.7544, + "step": 7711 + }, + { + "epoch": 0.52, + "learning_rate": 4.842461630893587e-06, + "loss": 0.4849, + "step": 7712 + }, + { + "epoch": 0.52, + "learning_rate": 4.841360332509663e-06, + "loss": 0.7999, + "step": 7713 + }, + { + "epoch": 0.52, + "learning_rate": 4.840259041829736e-06, + "loss": 0.7958, + "step": 7714 + }, + { + "epoch": 0.52, + "learning_rate": 4.8391577589072905e-06, + "loss": 0.8141, + "step": 7715 + }, + { + "epoch": 0.52, + "learning_rate": 4.838056483795805e-06, + "loss": 0.7885, + "step": 7716 + }, + { + "epoch": 0.53, + "learning_rate": 4.836955216548762e-06, + "loss": 0.7776, + "step": 7717 + }, + { + "epoch": 0.53, + "learning_rate": 4.835853957219644e-06, + "loss": 0.5748, + "step": 7718 + }, + { + "epoch": 0.53, + "learning_rate": 4.834752705861927e-06, + "loss": 0.6821, + "step": 7719 + }, + { + "epoch": 0.53, + "learning_rate": 4.8336514625290935e-06, + "loss": 0.6226, + "step": 7720 + }, + { + "epoch": 0.53, + "learning_rate": 4.832550227274624e-06, + "loss": 0.7148, + "step": 7721 + }, + { + "epoch": 0.53, + "learning_rate": 4.831449000151997e-06, + "loss": 0.6475, + "step": 7722 + }, + { + "epoch": 0.53, + "learning_rate": 4.8303477812146895e-06, + "loss": 0.7775, + "step": 7723 + }, + { + "epoch": 0.53, + "learning_rate": 4.8292465705161815e-06, + "loss": 0.69, + "step": 7724 + }, + { + "epoch": 0.53, + "learning_rate": 4.8281453681099515e-06, + "loss": 0.3286, + "step": 7725 + }, + { + "epoch": 0.53, + "learning_rate": 4.8270441740494736e-06, + "loss": 0.5209, + "step": 7726 + }, + { + "epoch": 0.53, + "learning_rate": 4.825942988388229e-06, + "loss": 0.7865, + "step": 7727 + }, + { + "epoch": 0.53, + "learning_rate": 4.824841811179695e-06, + "loss": 0.899, + "step": 7728 + }, + { + "epoch": 0.53, + "learning_rate": 4.823740642477343e-06, + "loss": 0.5884, + "step": 7729 + }, + { + "epoch": 0.53, + "learning_rate": 4.822639482334652e-06, + "loss": 0.6359, + "step": 7730 + }, + { + "epoch": 0.53, + "learning_rate": 4.821538330805098e-06, + "loss": 0.9035, + "step": 7731 + }, + { + "epoch": 0.53, + "learning_rate": 4.820437187942157e-06, + "loss": 0.6845, + "step": 7732 + }, + { + "epoch": 0.53, + "learning_rate": 4.819336053799299e-06, + "loss": 0.8523, + "step": 7733 + }, + { + "epoch": 0.53, + "learning_rate": 4.818234928430003e-06, + "loss": 0.8557, + "step": 7734 + }, + { + "epoch": 0.53, + "learning_rate": 4.817133811887741e-06, + "loss": 0.9341, + "step": 7735 + }, + { + "epoch": 0.53, + "learning_rate": 4.816032704225984e-06, + "loss": 1.0528, + "step": 7736 + }, + { + "epoch": 0.53, + "learning_rate": 4.81493160549821e-06, + "loss": 0.6518, + "step": 7737 + }, + { + "epoch": 0.53, + "learning_rate": 4.813830515757889e-06, + "loss": 0.6201, + "step": 7738 + }, + { + "epoch": 0.53, + "learning_rate": 4.812729435058492e-06, + "loss": 0.4829, + "step": 7739 + }, + { + "epoch": 0.53, + "learning_rate": 4.8116283634534924e-06, + "loss": 0.6799, + "step": 7740 + }, + { + "epoch": 0.53, + "learning_rate": 4.81052730099636e-06, + "loss": 0.5653, + "step": 7741 + }, + { + "epoch": 0.53, + "learning_rate": 4.809426247740565e-06, + "loss": 0.7233, + "step": 7742 + }, + { + "epoch": 0.53, + "learning_rate": 4.808325203739581e-06, + "loss": 0.634, + "step": 7743 + }, + { + "epoch": 0.53, + "learning_rate": 4.807224169046875e-06, + "loss": 0.6262, + "step": 7744 + }, + { + "epoch": 0.53, + "learning_rate": 4.806123143715916e-06, + "loss": 0.5937, + "step": 7745 + }, + { + "epoch": 0.53, + "learning_rate": 4.805022127800176e-06, + "loss": 0.8894, + "step": 7746 + }, + { + "epoch": 0.53, + "learning_rate": 4.803921121353121e-06, + "loss": 0.7185, + "step": 7747 + }, + { + "epoch": 0.53, + "learning_rate": 4.802820124428221e-06, + "loss": 0.6822, + "step": 7748 + }, + { + "epoch": 0.53, + "learning_rate": 4.801719137078939e-06, + "loss": 0.8599, + "step": 7749 + }, + { + "epoch": 0.53, + "learning_rate": 4.800618159358748e-06, + "loss": 0.8039, + "step": 7750 + }, + { + "epoch": 0.53, + "learning_rate": 4.799517191321111e-06, + "loss": 0.6046, + "step": 7751 + }, + { + "epoch": 0.53, + "learning_rate": 4.798416233019494e-06, + "loss": 0.7576, + "step": 7752 + }, + { + "epoch": 0.53, + "learning_rate": 4.7973152845073666e-06, + "loss": 0.8146, + "step": 7753 + }, + { + "epoch": 0.53, + "learning_rate": 4.796214345838189e-06, + "loss": 0.8354, + "step": 7754 + }, + { + "epoch": 0.53, + "learning_rate": 4.795113417065427e-06, + "loss": 0.8287, + "step": 7755 + }, + { + "epoch": 0.53, + "learning_rate": 4.794012498242549e-06, + "loss": 0.89, + "step": 7756 + }, + { + "epoch": 0.53, + "learning_rate": 4.792911589423015e-06, + "loss": 0.596, + "step": 7757 + }, + { + "epoch": 0.53, + "learning_rate": 4.791810690660288e-06, + "loss": 0.7831, + "step": 7758 + }, + { + "epoch": 0.53, + "learning_rate": 4.790709802007834e-06, + "loss": 0.5875, + "step": 7759 + }, + { + "epoch": 0.53, + "learning_rate": 4.789608923519113e-06, + "loss": 0.9819, + "step": 7760 + }, + { + "epoch": 0.53, + "learning_rate": 4.788508055247585e-06, + "loss": 0.8122, + "step": 7761 + }, + { + "epoch": 0.53, + "learning_rate": 4.787407197246714e-06, + "loss": 0.5153, + "step": 7762 + }, + { + "epoch": 0.53, + "learning_rate": 4.786306349569963e-06, + "loss": 0.6039, + "step": 7763 + }, + { + "epoch": 0.53, + "learning_rate": 4.785205512270787e-06, + "loss": 0.6183, + "step": 7764 + }, + { + "epoch": 0.53, + "learning_rate": 4.784104685402648e-06, + "loss": 0.8682, + "step": 7765 + }, + { + "epoch": 0.53, + "learning_rate": 4.7830038690190076e-06, + "loss": 0.509, + "step": 7766 + }, + { + "epoch": 0.53, + "learning_rate": 4.781903063173321e-06, + "loss": 0.8771, + "step": 7767 + }, + { + "epoch": 0.53, + "learning_rate": 4.780802267919048e-06, + "loss": 0.7833, + "step": 7768 + }, + { + "epoch": 0.53, + "learning_rate": 4.779701483309648e-06, + "loss": 0.7117, + "step": 7769 + }, + { + "epoch": 0.53, + "learning_rate": 4.7786007093985775e-06, + "loss": 0.7181, + "step": 7770 + }, + { + "epoch": 0.53, + "learning_rate": 4.77749994623929e-06, + "loss": 0.9564, + "step": 7771 + }, + { + "epoch": 0.53, + "learning_rate": 4.776399193885246e-06, + "loss": 0.8117, + "step": 7772 + }, + { + "epoch": 0.53, + "learning_rate": 4.7752984523899e-06, + "loss": 0.4514, + "step": 7773 + }, + { + "epoch": 0.53, + "learning_rate": 4.7741977218067045e-06, + "loss": 0.7362, + "step": 7774 + }, + { + "epoch": 0.53, + "learning_rate": 4.773097002189118e-06, + "loss": 0.6699, + "step": 7775 + }, + { + "epoch": 0.53, + "learning_rate": 4.771996293590593e-06, + "loss": 0.6717, + "step": 7776 + }, + { + "epoch": 0.53, + "learning_rate": 4.770895596064582e-06, + "loss": 0.7742, + "step": 7777 + }, + { + "epoch": 0.53, + "learning_rate": 4.76979490966454e-06, + "loss": 0.7274, + "step": 7778 + }, + { + "epoch": 0.53, + "learning_rate": 4.768694234443919e-06, + "loss": 0.8235, + "step": 7779 + }, + { + "epoch": 0.53, + "learning_rate": 4.767593570456168e-06, + "loss": 0.6479, + "step": 7780 + }, + { + "epoch": 0.53, + "learning_rate": 4.766492917754743e-06, + "loss": 0.7506, + "step": 7781 + }, + { + "epoch": 0.53, + "learning_rate": 4.765392276393092e-06, + "loss": 0.6898, + "step": 7782 + }, + { + "epoch": 0.53, + "learning_rate": 4.764291646424668e-06, + "loss": 0.7756, + "step": 7783 + }, + { + "epoch": 0.53, + "learning_rate": 4.763191027902916e-06, + "loss": 0.5746, + "step": 7784 + }, + { + "epoch": 0.53, + "learning_rate": 4.762090420881289e-06, + "loss": 0.7717, + "step": 7785 + }, + { + "epoch": 0.53, + "learning_rate": 4.760989825413236e-06, + "loss": 0.478, + "step": 7786 + }, + { + "epoch": 0.53, + "learning_rate": 4.7598892415522005e-06, + "loss": 0.8205, + "step": 7787 + }, + { + "epoch": 0.53, + "learning_rate": 4.758788669351637e-06, + "loss": 0.9408, + "step": 7788 + }, + { + "epoch": 0.53, + "learning_rate": 4.7576881088649865e-06, + "loss": 0.7151, + "step": 7789 + }, + { + "epoch": 0.53, + "learning_rate": 4.7565875601456965e-06, + "loss": 0.7629, + "step": 7790 + }, + { + "epoch": 0.53, + "learning_rate": 4.755487023247216e-06, + "loss": 0.5757, + "step": 7791 + }, + { + "epoch": 0.53, + "learning_rate": 4.754386498222988e-06, + "loss": 0.5177, + "step": 7792 + }, + { + "epoch": 0.53, + "learning_rate": 4.753285985126455e-06, + "loss": 0.7233, + "step": 7793 + }, + { + "epoch": 0.53, + "learning_rate": 4.752185484011066e-06, + "loss": 0.4733, + "step": 7794 + }, + { + "epoch": 0.53, + "learning_rate": 4.75108499493026e-06, + "loss": 0.9361, + "step": 7795 + }, + { + "epoch": 0.53, + "learning_rate": 4.749984517937482e-06, + "loss": 0.704, + "step": 7796 + }, + { + "epoch": 0.53, + "learning_rate": 4.7488840530861755e-06, + "loss": 0.5821, + "step": 7797 + }, + { + "epoch": 0.53, + "learning_rate": 4.747783600429781e-06, + "loss": 0.4881, + "step": 7798 + }, + { + "epoch": 0.53, + "learning_rate": 4.746683160021736e-06, + "loss": 0.8211, + "step": 7799 + }, + { + "epoch": 0.53, + "learning_rate": 4.745582731915488e-06, + "loss": 0.7639, + "step": 7800 + }, + { + "epoch": 0.53, + "learning_rate": 4.7444823161644725e-06, + "loss": 0.8299, + "step": 7801 + }, + { + "epoch": 0.53, + "learning_rate": 4.74338191282213e-06, + "loss": 0.7841, + "step": 7802 + }, + { + "epoch": 0.53, + "learning_rate": 4.742281521941897e-06, + "loss": 0.9903, + "step": 7803 + }, + { + "epoch": 0.53, + "learning_rate": 4.741181143577216e-06, + "loss": 0.5305, + "step": 7804 + }, + { + "epoch": 0.53, + "learning_rate": 4.7400807777815215e-06, + "loss": 0.7105, + "step": 7805 + }, + { + "epoch": 0.53, + "learning_rate": 4.73898042460825e-06, + "loss": 0.8379, + "step": 7806 + }, + { + "epoch": 0.53, + "learning_rate": 4.73788008411084e-06, + "loss": 0.7704, + "step": 7807 + }, + { + "epoch": 0.53, + "learning_rate": 4.736779756342727e-06, + "loss": 0.6338, + "step": 7808 + }, + { + "epoch": 0.53, + "learning_rate": 4.735679441357343e-06, + "loss": 0.7282, + "step": 7809 + }, + { + "epoch": 0.53, + "learning_rate": 4.734579139208127e-06, + "loss": 0.4132, + "step": 7810 + }, + { + "epoch": 0.53, + "learning_rate": 4.73347884994851e-06, + "loss": 0.3063, + "step": 7811 + }, + { + "epoch": 0.53, + "learning_rate": 4.7323785736319246e-06, + "loss": 0.6017, + "step": 7812 + }, + { + "epoch": 0.53, + "learning_rate": 4.731278310311805e-06, + "loss": 0.8189, + "step": 7813 + }, + { + "epoch": 0.53, + "learning_rate": 4.730178060041584e-06, + "loss": 0.8542, + "step": 7814 + }, + { + "epoch": 0.53, + "learning_rate": 4.729077822874689e-06, + "loss": 0.6816, + "step": 7815 + }, + { + "epoch": 0.53, + "learning_rate": 4.727977598864555e-06, + "loss": 0.8135, + "step": 7816 + }, + { + "epoch": 0.53, + "learning_rate": 4.726877388064609e-06, + "loss": 0.8293, + "step": 7817 + }, + { + "epoch": 0.53, + "learning_rate": 4.725777190528282e-06, + "loss": 0.7628, + "step": 7818 + }, + { + "epoch": 0.53, + "learning_rate": 4.724677006309004e-06, + "loss": 0.7035, + "step": 7819 + }, + { + "epoch": 0.53, + "learning_rate": 4.7235768354602005e-06, + "loss": 0.6498, + "step": 7820 + }, + { + "epoch": 0.53, + "learning_rate": 4.7224766780353005e-06, + "loss": 0.6888, + "step": 7821 + }, + { + "epoch": 0.53, + "learning_rate": 4.721376534087729e-06, + "loss": 0.4624, + "step": 7822 + }, + { + "epoch": 0.53, + "learning_rate": 4.720276403670914e-06, + "loss": 0.8428, + "step": 7823 + }, + { + "epoch": 0.53, + "learning_rate": 4.719176286838282e-06, + "loss": 1.0109, + "step": 7824 + }, + { + "epoch": 0.53, + "learning_rate": 4.718076183643252e-06, + "loss": 0.6857, + "step": 7825 + }, + { + "epoch": 0.53, + "learning_rate": 4.716976094139257e-06, + "loss": 1.0252, + "step": 7826 + }, + { + "epoch": 0.53, + "learning_rate": 4.715876018379714e-06, + "loss": 0.701, + "step": 7827 + }, + { + "epoch": 0.53, + "learning_rate": 4.714775956418047e-06, + "loss": 0.6614, + "step": 7828 + }, + { + "epoch": 0.53, + "learning_rate": 4.713675908307681e-06, + "loss": 0.7593, + "step": 7829 + }, + { + "epoch": 0.53, + "learning_rate": 4.712575874102034e-06, + "loss": 0.7028, + "step": 7830 + }, + { + "epoch": 0.53, + "learning_rate": 4.711475853854528e-06, + "loss": 0.7838, + "step": 7831 + }, + { + "epoch": 0.53, + "learning_rate": 4.710375847618585e-06, + "loss": 0.5806, + "step": 7832 + }, + { + "epoch": 0.53, + "learning_rate": 4.7092758554476215e-06, + "loss": 0.5566, + "step": 7833 + }, + { + "epoch": 0.53, + "learning_rate": 4.708175877395057e-06, + "loss": 0.8787, + "step": 7834 + }, + { + "epoch": 0.53, + "learning_rate": 4.707075913514312e-06, + "loss": 0.5823, + "step": 7835 + }, + { + "epoch": 0.53, + "learning_rate": 4.705975963858803e-06, + "loss": 0.5254, + "step": 7836 + }, + { + "epoch": 0.53, + "learning_rate": 4.704876028481943e-06, + "loss": 0.5688, + "step": 7837 + }, + { + "epoch": 0.53, + "learning_rate": 4.7037761074371524e-06, + "loss": 1.0122, + "step": 7838 + }, + { + "epoch": 0.53, + "learning_rate": 4.7026762007778455e-06, + "loss": 0.7931, + "step": 7839 + }, + { + "epoch": 0.53, + "learning_rate": 4.701576308557436e-06, + "loss": 0.705, + "step": 7840 + }, + { + "epoch": 0.53, + "learning_rate": 4.700476430829337e-06, + "loss": 0.5641, + "step": 7841 + }, + { + "epoch": 0.53, + "learning_rate": 4.699376567646965e-06, + "loss": 0.6599, + "step": 7842 + }, + { + "epoch": 0.53, + "learning_rate": 4.698276719063729e-06, + "loss": 0.8221, + "step": 7843 + }, + { + "epoch": 0.53, + "learning_rate": 4.697176885133042e-06, + "loss": 0.7411, + "step": 7844 + }, + { + "epoch": 0.53, + "learning_rate": 4.696077065908317e-06, + "loss": 0.8467, + "step": 7845 + }, + { + "epoch": 0.53, + "learning_rate": 4.694977261442964e-06, + "loss": 0.5925, + "step": 7846 + }, + { + "epoch": 0.53, + "learning_rate": 4.693877471790389e-06, + "loss": 0.422, + "step": 7847 + }, + { + "epoch": 0.53, + "learning_rate": 4.692777697004003e-06, + "loss": 0.8123, + "step": 7848 + }, + { + "epoch": 0.53, + "learning_rate": 4.691677937137217e-06, + "loss": 0.7163, + "step": 7849 + }, + { + "epoch": 0.53, + "learning_rate": 4.690578192243433e-06, + "loss": 1.0144, + "step": 7850 + }, + { + "epoch": 0.53, + "learning_rate": 4.689478462376063e-06, + "loss": 0.6772, + "step": 7851 + }, + { + "epoch": 0.53, + "learning_rate": 4.688378747588512e-06, + "loss": 0.6871, + "step": 7852 + }, + { + "epoch": 0.53, + "learning_rate": 4.6872790479341815e-06, + "loss": 0.7355, + "step": 7853 + }, + { + "epoch": 0.53, + "learning_rate": 4.686179363466481e-06, + "loss": 0.7503, + "step": 7854 + }, + { + "epoch": 0.53, + "learning_rate": 4.685079694238811e-06, + "loss": 0.9404, + "step": 7855 + }, + { + "epoch": 0.53, + "learning_rate": 4.683980040304575e-06, + "loss": 0.8798, + "step": 7856 + }, + { + "epoch": 0.53, + "learning_rate": 4.682880401717178e-06, + "loss": 0.5335, + "step": 7857 + }, + { + "epoch": 0.53, + "learning_rate": 4.681780778530019e-06, + "loss": 0.6693, + "step": 7858 + }, + { + "epoch": 0.53, + "learning_rate": 4.680681170796501e-06, + "loss": 0.8086, + "step": 7859 + }, + { + "epoch": 0.53, + "learning_rate": 4.679581578570019e-06, + "loss": 0.7169, + "step": 7860 + }, + { + "epoch": 0.53, + "learning_rate": 4.6784820019039786e-06, + "loss": 0.6231, + "step": 7861 + }, + { + "epoch": 0.53, + "learning_rate": 4.6773824408517765e-06, + "loss": 0.8853, + "step": 7862 + }, + { + "epoch": 0.53, + "learning_rate": 4.676282895466807e-06, + "loss": 0.8542, + "step": 7863 + }, + { + "epoch": 0.54, + "learning_rate": 4.675183365802473e-06, + "loss": 0.6948, + "step": 7864 + }, + { + "epoch": 0.54, + "learning_rate": 4.674083851912167e-06, + "loss": 0.7664, + "step": 7865 + }, + { + "epoch": 0.54, + "learning_rate": 4.672984353849285e-06, + "loss": 0.7151, + "step": 7866 + }, + { + "epoch": 0.54, + "learning_rate": 4.671884871667223e-06, + "loss": 0.7142, + "step": 7867 + }, + { + "epoch": 0.54, + "learning_rate": 4.670785405419374e-06, + "loss": 0.7892, + "step": 7868 + }, + { + "epoch": 0.54, + "learning_rate": 4.66968595515913e-06, + "loss": 0.6646, + "step": 7869 + }, + { + "epoch": 0.54, + "learning_rate": 4.668586520939887e-06, + "loss": 0.7647, + "step": 7870 + }, + { + "epoch": 0.54, + "learning_rate": 4.6674871028150335e-06, + "loss": 0.584, + "step": 7871 + }, + { + "epoch": 0.54, + "learning_rate": 4.666387700837961e-06, + "loss": 0.624, + "step": 7872 + }, + { + "epoch": 0.54, + "learning_rate": 4.665288315062062e-06, + "loss": 0.7999, + "step": 7873 + }, + { + "epoch": 0.54, + "learning_rate": 4.664188945540724e-06, + "loss": 0.7139, + "step": 7874 + }, + { + "epoch": 0.54, + "learning_rate": 4.663089592327333e-06, + "loss": 0.6591, + "step": 7875 + }, + { + "epoch": 0.54, + "learning_rate": 4.6619902554752815e-06, + "loss": 0.8795, + "step": 7876 + }, + { + "epoch": 0.54, + "learning_rate": 4.660890935037954e-06, + "loss": 0.672, + "step": 7877 + }, + { + "epoch": 0.54, + "learning_rate": 4.659791631068737e-06, + "loss": 0.9586, + "step": 7878 + }, + { + "epoch": 0.54, + "learning_rate": 4.658692343621014e-06, + "loss": 0.4618, + "step": 7879 + }, + { + "epoch": 0.54, + "learning_rate": 4.6575930727481736e-06, + "loss": 0.5382, + "step": 7880 + }, + { + "epoch": 0.54, + "learning_rate": 4.6564938185035954e-06, + "loss": 0.6679, + "step": 7881 + }, + { + "epoch": 0.54, + "learning_rate": 4.6553945809406646e-06, + "loss": 0.8692, + "step": 7882 + }, + { + "epoch": 0.54, + "learning_rate": 4.6542953601127635e-06, + "loss": 0.9071, + "step": 7883 + }, + { + "epoch": 0.54, + "learning_rate": 4.653196156073274e-06, + "loss": 0.8911, + "step": 7884 + }, + { + "epoch": 0.54, + "learning_rate": 4.652096968875574e-06, + "loss": 0.5366, + "step": 7885 + }, + { + "epoch": 0.54, + "learning_rate": 4.650997798573044e-06, + "loss": 0.6189, + "step": 7886 + }, + { + "epoch": 0.54, + "learning_rate": 4.649898645219065e-06, + "loss": 0.6881, + "step": 7887 + }, + { + "epoch": 0.54, + "learning_rate": 4.648799508867012e-06, + "loss": 0.6708, + "step": 7888 + }, + { + "epoch": 0.54, + "learning_rate": 4.647700389570264e-06, + "loss": 0.9333, + "step": 7889 + }, + { + "epoch": 0.54, + "learning_rate": 4.6466012873822e-06, + "loss": 0.7601, + "step": 7890 + }, + { + "epoch": 0.54, + "learning_rate": 4.645502202356189e-06, + "loss": 1.1316, + "step": 7891 + }, + { + "epoch": 0.54, + "learning_rate": 4.644403134545612e-06, + "loss": 0.7113, + "step": 7892 + }, + { + "epoch": 0.54, + "learning_rate": 4.643304084003839e-06, + "loss": 0.7588, + "step": 7893 + }, + { + "epoch": 0.54, + "learning_rate": 4.6422050507842455e-06, + "loss": 0.7141, + "step": 7894 + }, + { + "epoch": 0.54, + "learning_rate": 4.6411060349402015e-06, + "loss": 0.6742, + "step": 7895 + }, + { + "epoch": 0.54, + "learning_rate": 4.640007036525079e-06, + "loss": 0.9858, + "step": 7896 + }, + { + "epoch": 0.54, + "learning_rate": 4.638908055592252e-06, + "loss": 0.5708, + "step": 7897 + }, + { + "epoch": 0.54, + "learning_rate": 4.637809092195084e-06, + "loss": 0.7866, + "step": 7898 + }, + { + "epoch": 0.54, + "learning_rate": 4.636710146386948e-06, + "loss": 0.592, + "step": 7899 + }, + { + "epoch": 0.54, + "learning_rate": 4.635611218221212e-06, + "loss": 0.6188, + "step": 7900 + }, + { + "epoch": 0.54, + "learning_rate": 4.6345123077512396e-06, + "loss": 0.6728, + "step": 7901 + }, + { + "epoch": 0.54, + "learning_rate": 4.633413415030401e-06, + "loss": 0.8947, + "step": 7902 + }, + { + "epoch": 0.54, + "learning_rate": 4.63231454011206e-06, + "loss": 0.8019, + "step": 7903 + }, + { + "epoch": 0.54, + "learning_rate": 4.631215683049581e-06, + "loss": 0.6272, + "step": 7904 + }, + { + "epoch": 0.54, + "learning_rate": 4.630116843896329e-06, + "loss": 0.5817, + "step": 7905 + }, + { + "epoch": 0.54, + "learning_rate": 4.6290180227056644e-06, + "loss": 0.7122, + "step": 7906 + }, + { + "epoch": 0.54, + "learning_rate": 4.6279192195309505e-06, + "loss": 0.9629, + "step": 7907 + }, + { + "epoch": 0.54, + "learning_rate": 4.626820434425549e-06, + "loss": 0.7071, + "step": 7908 + }, + { + "epoch": 0.54, + "learning_rate": 4.625721667442819e-06, + "loss": 0.7787, + "step": 7909 + }, + { + "epoch": 0.54, + "learning_rate": 4.6246229186361184e-06, + "loss": 0.6923, + "step": 7910 + }, + { + "epoch": 0.54, + "learning_rate": 4.62352418805881e-06, + "loss": 0.5382, + "step": 7911 + }, + { + "epoch": 0.54, + "learning_rate": 4.622425475764248e-06, + "loss": 1.0761, + "step": 7912 + }, + { + "epoch": 0.54, + "learning_rate": 4.62132678180579e-06, + "loss": 0.9715, + "step": 7913 + }, + { + "epoch": 0.54, + "learning_rate": 4.620228106236788e-06, + "loss": 0.6233, + "step": 7914 + }, + { + "epoch": 0.54, + "learning_rate": 4.619129449110604e-06, + "loss": 0.7964, + "step": 7915 + }, + { + "epoch": 0.54, + "learning_rate": 4.618030810480586e-06, + "loss": 0.8006, + "step": 7916 + }, + { + "epoch": 0.54, + "learning_rate": 4.616932190400089e-06, + "loss": 0.8822, + "step": 7917 + }, + { + "epoch": 0.54, + "learning_rate": 4.615833588922467e-06, + "loss": 1.1029, + "step": 7918 + }, + { + "epoch": 0.54, + "learning_rate": 4.614735006101069e-06, + "loss": 0.9714, + "step": 7919 + }, + { + "epoch": 0.54, + "learning_rate": 4.613636441989244e-06, + "loss": 0.5644, + "step": 7920 + }, + { + "epoch": 0.54, + "learning_rate": 4.6125378966403465e-06, + "loss": 0.6385, + "step": 7921 + }, + { + "epoch": 0.54, + "learning_rate": 4.611439370107721e-06, + "loss": 0.8357, + "step": 7922 + }, + { + "epoch": 0.54, + "learning_rate": 4.610340862444713e-06, + "loss": 0.7261, + "step": 7923 + }, + { + "epoch": 0.54, + "learning_rate": 4.609242373704675e-06, + "loss": 0.7066, + "step": 7924 + }, + { + "epoch": 0.54, + "learning_rate": 4.60814390394095e-06, + "loss": 0.7612, + "step": 7925 + }, + { + "epoch": 0.54, + "learning_rate": 4.607045453206881e-06, + "loss": 0.727, + "step": 7926 + }, + { + "epoch": 0.54, + "learning_rate": 4.605947021555814e-06, + "loss": 0.7918, + "step": 7927 + }, + { + "epoch": 0.54, + "learning_rate": 4.604848609041094e-06, + "loss": 0.7332, + "step": 7928 + }, + { + "epoch": 0.54, + "learning_rate": 4.603750215716057e-06, + "loss": 0.976, + "step": 7929 + }, + { + "epoch": 0.54, + "learning_rate": 4.602651841634052e-06, + "loss": 0.6976, + "step": 7930 + }, + { + "epoch": 0.54, + "learning_rate": 4.601553486848412e-06, + "loss": 0.5148, + "step": 7931 + }, + { + "epoch": 0.54, + "learning_rate": 4.600455151412482e-06, + "loss": 0.5754, + "step": 7932 + }, + { + "epoch": 0.54, + "learning_rate": 4.599356835379595e-06, + "loss": 0.6284, + "step": 7933 + }, + { + "epoch": 0.54, + "learning_rate": 4.598258538803092e-06, + "loss": 0.8076, + "step": 7934 + }, + { + "epoch": 0.54, + "learning_rate": 4.597160261736309e-06, + "loss": 0.6897, + "step": 7935 + }, + { + "epoch": 0.54, + "learning_rate": 4.59606200423258e-06, + "loss": 0.7413, + "step": 7936 + }, + { + "epoch": 0.54, + "learning_rate": 4.594963766345241e-06, + "loss": 0.8256, + "step": 7937 + }, + { + "epoch": 0.54, + "learning_rate": 4.593865548127626e-06, + "loss": 0.768, + "step": 7938 + }, + { + "epoch": 0.54, + "learning_rate": 4.592767349633065e-06, + "loss": 0.7969, + "step": 7939 + }, + { + "epoch": 0.54, + "learning_rate": 4.591669170914893e-06, + "loss": 0.7666, + "step": 7940 + }, + { + "epoch": 0.54, + "learning_rate": 4.5905710120264385e-06, + "loss": 0.5082, + "step": 7941 + }, + { + "epoch": 0.54, + "learning_rate": 4.58947287302103e-06, + "loss": 0.6419, + "step": 7942 + }, + { + "epoch": 0.54, + "learning_rate": 4.588374753952001e-06, + "loss": 0.7599, + "step": 7943 + }, + { + "epoch": 0.54, + "learning_rate": 4.5872766548726755e-06, + "loss": 0.717, + "step": 7944 + }, + { + "epoch": 0.54, + "learning_rate": 4.58617857583638e-06, + "loss": 0.581, + "step": 7945 + }, + { + "epoch": 0.54, + "learning_rate": 4.585080516896444e-06, + "loss": 0.7841, + "step": 7946 + }, + { + "epoch": 0.54, + "learning_rate": 4.583982478106189e-06, + "loss": 0.7612, + "step": 7947 + }, + { + "epoch": 0.54, + "learning_rate": 4.582884459518939e-06, + "loss": 0.8232, + "step": 7948 + }, + { + "epoch": 0.54, + "learning_rate": 4.58178646118802e-06, + "loss": 0.7834, + "step": 7949 + }, + { + "epoch": 0.54, + "learning_rate": 4.580688483166752e-06, + "loss": 0.7742, + "step": 7950 + }, + { + "epoch": 0.54, + "learning_rate": 4.579590525508455e-06, + "loss": 0.6675, + "step": 7951 + }, + { + "epoch": 0.54, + "learning_rate": 4.578492588266448e-06, + "loss": 0.6358, + "step": 7952 + }, + { + "epoch": 0.54, + "learning_rate": 4.577394671494054e-06, + "loss": 0.5541, + "step": 7953 + }, + { + "epoch": 0.54, + "learning_rate": 4.576296775244589e-06, + "loss": 0.8073, + "step": 7954 + }, + { + "epoch": 0.54, + "learning_rate": 4.575198899571368e-06, + "loss": 0.8818, + "step": 7955 + }, + { + "epoch": 0.54, + "learning_rate": 4.57410104452771e-06, + "loss": 0.7834, + "step": 7956 + }, + { + "epoch": 0.54, + "learning_rate": 4.573003210166929e-06, + "loss": 0.7309, + "step": 7957 + }, + { + "epoch": 0.54, + "learning_rate": 4.571905396542337e-06, + "loss": 0.9873, + "step": 7958 + }, + { + "epoch": 0.54, + "learning_rate": 4.570807603707251e-06, + "loss": 0.7218, + "step": 7959 + }, + { + "epoch": 0.54, + "learning_rate": 4.569709831714982e-06, + "loss": 0.604, + "step": 7960 + }, + { + "epoch": 0.54, + "learning_rate": 4.568612080618836e-06, + "loss": 0.5829, + "step": 7961 + }, + { + "epoch": 0.54, + "learning_rate": 4.567514350472128e-06, + "loss": 0.7411, + "step": 7962 + }, + { + "epoch": 0.54, + "learning_rate": 4.566416641328167e-06, + "loss": 0.7161, + "step": 7963 + }, + { + "epoch": 0.54, + "learning_rate": 4.565318953240257e-06, + "loss": 0.5709, + "step": 7964 + }, + { + "epoch": 0.54, + "learning_rate": 4.564221286261709e-06, + "loss": 0.7956, + "step": 7965 + }, + { + "epoch": 0.54, + "learning_rate": 4.563123640445829e-06, + "loss": 0.9137, + "step": 7966 + }, + { + "epoch": 0.54, + "learning_rate": 4.562026015845916e-06, + "loss": 0.8675, + "step": 7967 + }, + { + "epoch": 0.54, + "learning_rate": 4.5609284125152815e-06, + "loss": 0.5331, + "step": 7968 + }, + { + "epoch": 0.54, + "learning_rate": 4.559830830507223e-06, + "loss": 0.733, + "step": 7969 + }, + { + "epoch": 0.54, + "learning_rate": 4.5587332698750455e-06, + "loss": 0.8431, + "step": 7970 + }, + { + "epoch": 0.54, + "learning_rate": 4.557635730672045e-06, + "loss": 0.6833, + "step": 7971 + }, + { + "epoch": 0.54, + "learning_rate": 4.556538212951526e-06, + "loss": 0.8594, + "step": 7972 + }, + { + "epoch": 0.54, + "learning_rate": 4.555440716766787e-06, + "loss": 0.7938, + "step": 7973 + }, + { + "epoch": 0.54, + "learning_rate": 4.554343242171121e-06, + "loss": 0.3685, + "step": 7974 + }, + { + "epoch": 0.54, + "learning_rate": 4.553245789217828e-06, + "loss": 0.811, + "step": 7975 + }, + { + "epoch": 0.54, + "learning_rate": 4.552148357960205e-06, + "loss": 0.6782, + "step": 7976 + }, + { + "epoch": 0.54, + "learning_rate": 4.551050948451542e-06, + "loss": 0.6204, + "step": 7977 + }, + { + "epoch": 0.54, + "learning_rate": 4.549953560745136e-06, + "loss": 0.6935, + "step": 7978 + }, + { + "epoch": 0.54, + "learning_rate": 4.548856194894279e-06, + "loss": 0.5547, + "step": 7979 + }, + { + "epoch": 0.54, + "learning_rate": 4.547758850952258e-06, + "loss": 0.544, + "step": 7980 + }, + { + "epoch": 0.54, + "learning_rate": 4.5466615289723695e-06, + "loss": 0.8726, + "step": 7981 + }, + { + "epoch": 0.54, + "learning_rate": 4.5455642290078985e-06, + "loss": 0.7575, + "step": 7982 + }, + { + "epoch": 0.54, + "learning_rate": 4.544466951112132e-06, + "loss": 1.1031, + "step": 7983 + }, + { + "epoch": 0.54, + "learning_rate": 4.543369695338362e-06, + "loss": 0.6875, + "step": 7984 + }, + { + "epoch": 0.54, + "learning_rate": 4.54227246173987e-06, + "loss": 0.8895, + "step": 7985 + }, + { + "epoch": 0.54, + "learning_rate": 4.541175250369941e-06, + "loss": 0.7485, + "step": 7986 + }, + { + "epoch": 0.54, + "learning_rate": 4.540078061281863e-06, + "loss": 0.6112, + "step": 7987 + }, + { + "epoch": 0.54, + "learning_rate": 4.538980894528916e-06, + "loss": 0.857, + "step": 7988 + }, + { + "epoch": 0.54, + "learning_rate": 4.5378837501643785e-06, + "loss": 0.6576, + "step": 7989 + }, + { + "epoch": 0.54, + "learning_rate": 4.536786628241534e-06, + "loss": 0.7313, + "step": 7990 + }, + { + "epoch": 0.54, + "learning_rate": 4.535689528813662e-06, + "loss": 0.7947, + "step": 7991 + }, + { + "epoch": 0.54, + "learning_rate": 4.534592451934041e-06, + "loss": 0.8377, + "step": 7992 + }, + { + "epoch": 0.54, + "learning_rate": 4.533495397655946e-06, + "loss": 0.543, + "step": 7993 + }, + { + "epoch": 0.54, + "learning_rate": 4.532398366032656e-06, + "loss": 0.6612, + "step": 7994 + }, + { + "epoch": 0.54, + "learning_rate": 4.531301357117444e-06, + "loss": 0.872, + "step": 7995 + }, + { + "epoch": 0.54, + "learning_rate": 4.530204370963585e-06, + "loss": 0.7517, + "step": 7996 + }, + { + "epoch": 0.54, + "learning_rate": 4.529107407624351e-06, + "loss": 0.5681, + "step": 7997 + }, + { + "epoch": 0.54, + "learning_rate": 4.528010467153015e-06, + "loss": 0.8742, + "step": 7998 + }, + { + "epoch": 0.54, + "learning_rate": 4.526913549602846e-06, + "loss": 0.6216, + "step": 7999 + }, + { + "epoch": 0.54, + "learning_rate": 4.525816655027113e-06, + "loss": 0.7259, + "step": 8000 + }, + { + "epoch": 0.54, + "learning_rate": 4.524719783479088e-06, + "loss": 1.001, + "step": 8001 + }, + { + "epoch": 0.54, + "learning_rate": 4.523622935012033e-06, + "loss": 0.8014, + "step": 8002 + }, + { + "epoch": 0.54, + "learning_rate": 4.522526109679218e-06, + "loss": 0.5951, + "step": 8003 + }, + { + "epoch": 0.54, + "learning_rate": 4.521429307533908e-06, + "loss": 0.55, + "step": 8004 + }, + { + "epoch": 0.54, + "learning_rate": 4.520332528629363e-06, + "loss": 0.8858, + "step": 8005 + }, + { + "epoch": 0.54, + "learning_rate": 4.5192357730188515e-06, + "loss": 0.9011, + "step": 8006 + }, + { + "epoch": 0.54, + "learning_rate": 4.518139040755631e-06, + "loss": 0.8756, + "step": 8007 + }, + { + "epoch": 0.54, + "learning_rate": 4.517042331892963e-06, + "loss": 0.8417, + "step": 8008 + }, + { + "epoch": 0.54, + "learning_rate": 4.515945646484105e-06, + "loss": 0.6066, + "step": 8009 + }, + { + "epoch": 0.54, + "learning_rate": 4.514848984582318e-06, + "loss": 0.8118, + "step": 8010 + }, + { + "epoch": 0.55, + "learning_rate": 4.51375234624086e-06, + "loss": 0.5704, + "step": 8011 + }, + { + "epoch": 0.55, + "learning_rate": 4.512655731512982e-06, + "loss": 0.7605, + "step": 8012 + }, + { + "epoch": 0.55, + "learning_rate": 4.5115591404519435e-06, + "loss": 0.5287, + "step": 8013 + }, + { + "epoch": 0.55, + "learning_rate": 4.510462573110996e-06, + "loss": 0.8086, + "step": 8014 + }, + { + "epoch": 0.55, + "learning_rate": 4.509366029543392e-06, + "loss": 0.7556, + "step": 8015 + }, + { + "epoch": 0.55, + "learning_rate": 4.508269509802384e-06, + "loss": 0.8013, + "step": 8016 + }, + { + "epoch": 0.55, + "learning_rate": 4.50717301394122e-06, + "loss": 0.4404, + "step": 8017 + }, + { + "epoch": 0.55, + "learning_rate": 4.50607654201315e-06, + "loss": 0.7247, + "step": 8018 + }, + { + "epoch": 0.55, + "learning_rate": 4.504980094071424e-06, + "loss": 0.6066, + "step": 8019 + }, + { + "epoch": 0.55, + "learning_rate": 4.503883670169286e-06, + "loss": 0.5811, + "step": 8020 + }, + { + "epoch": 0.55, + "learning_rate": 4.50278727035998e-06, + "loss": 0.5996, + "step": 8021 + }, + { + "epoch": 0.55, + "learning_rate": 4.5016908946967556e-06, + "loss": 0.8029, + "step": 8022 + }, + { + "epoch": 0.55, + "learning_rate": 4.500594543232851e-06, + "loss": 0.5897, + "step": 8023 + }, + { + "epoch": 0.55, + "learning_rate": 4.499498216021512e-06, + "loss": 0.6917, + "step": 8024 + }, + { + "epoch": 0.55, + "learning_rate": 4.498401913115975e-06, + "loss": 0.8775, + "step": 8025 + }, + { + "epoch": 0.55, + "learning_rate": 4.497305634569485e-06, + "loss": 0.6647, + "step": 8026 + }, + { + "epoch": 0.55, + "learning_rate": 4.496209380435276e-06, + "loss": 0.7706, + "step": 8027 + }, + { + "epoch": 0.55, + "learning_rate": 4.495113150766585e-06, + "loss": 0.7331, + "step": 8028 + }, + { + "epoch": 0.55, + "learning_rate": 4.494016945616652e-06, + "loss": 0.9436, + "step": 8029 + }, + { + "epoch": 0.55, + "learning_rate": 4.49292076503871e-06, + "loss": 0.5794, + "step": 8030 + }, + { + "epoch": 0.55, + "learning_rate": 4.4918246090859905e-06, + "loss": 0.6768, + "step": 8031 + }, + { + "epoch": 0.55, + "learning_rate": 4.49072847781173e-06, + "loss": 0.9358, + "step": 8032 + }, + { + "epoch": 0.55, + "learning_rate": 4.4896323712691566e-06, + "loss": 0.6847, + "step": 8033 + }, + { + "epoch": 0.55, + "learning_rate": 4.488536289511501e-06, + "loss": 0.6207, + "step": 8034 + }, + { + "epoch": 0.55, + "learning_rate": 4.487440232591994e-06, + "loss": 0.8042, + "step": 8035 + }, + { + "epoch": 0.55, + "learning_rate": 4.486344200563861e-06, + "loss": 0.7169, + "step": 8036 + }, + { + "epoch": 0.55, + "learning_rate": 4.485248193480328e-06, + "loss": 0.8593, + "step": 8037 + }, + { + "epoch": 0.55, + "learning_rate": 4.484152211394623e-06, + "loss": 0.6303, + "step": 8038 + }, + { + "epoch": 0.55, + "learning_rate": 4.483056254359969e-06, + "loss": 0.947, + "step": 8039 + }, + { + "epoch": 0.55, + "learning_rate": 4.481960322429587e-06, + "loss": 0.6888, + "step": 8040 + }, + { + "epoch": 0.55, + "learning_rate": 4.4808644156567e-06, + "loss": 0.8275, + "step": 8041 + }, + { + "epoch": 0.55, + "learning_rate": 4.47976853409453e-06, + "loss": 0.7074, + "step": 8042 + }, + { + "epoch": 0.55, + "learning_rate": 4.478672677796294e-06, + "loss": 0.6537, + "step": 8043 + }, + { + "epoch": 0.55, + "learning_rate": 4.477576846815209e-06, + "loss": 0.7692, + "step": 8044 + }, + { + "epoch": 0.55, + "learning_rate": 4.476481041204494e-06, + "loss": 0.8445, + "step": 8045 + }, + { + "epoch": 0.55, + "learning_rate": 4.475385261017364e-06, + "loss": 0.8501, + "step": 8046 + }, + { + "epoch": 0.55, + "learning_rate": 4.474289506307032e-06, + "loss": 0.7227, + "step": 8047 + }, + { + "epoch": 0.55, + "learning_rate": 4.473193777126712e-06, + "loss": 0.7839, + "step": 8048 + }, + { + "epoch": 0.55, + "learning_rate": 4.472098073529617e-06, + "loss": 0.7107, + "step": 8049 + }, + { + "epoch": 0.55, + "learning_rate": 4.471002395568954e-06, + "loss": 0.9943, + "step": 8050 + }, + { + "epoch": 0.55, + "learning_rate": 4.469906743297935e-06, + "loss": 0.9012, + "step": 8051 + }, + { + "epoch": 0.55, + "learning_rate": 4.468811116769769e-06, + "loss": 0.8731, + "step": 8052 + }, + { + "epoch": 0.55, + "learning_rate": 4.467715516037659e-06, + "loss": 0.8235, + "step": 8053 + }, + { + "epoch": 0.55, + "learning_rate": 4.466619941154815e-06, + "loss": 0.6546, + "step": 8054 + }, + { + "epoch": 0.55, + "learning_rate": 4.465524392174437e-06, + "loss": 0.7657, + "step": 8055 + }, + { + "epoch": 0.55, + "learning_rate": 4.46442886914973e-06, + "loss": 0.6899, + "step": 8056 + }, + { + "epoch": 0.55, + "learning_rate": 4.463333372133897e-06, + "loss": 0.737, + "step": 8057 + }, + { + "epoch": 0.55, + "learning_rate": 4.462237901180136e-06, + "loss": 0.9518, + "step": 8058 + }, + { + "epoch": 0.55, + "learning_rate": 4.4611424563416476e-06, + "loss": 0.7084, + "step": 8059 + }, + { + "epoch": 0.55, + "learning_rate": 4.46004703767163e-06, + "loss": 0.7838, + "step": 8060 + }, + { + "epoch": 0.55, + "learning_rate": 4.458951645223279e-06, + "loss": 0.6436, + "step": 8061 + }, + { + "epoch": 0.55, + "learning_rate": 4.4578562790497924e-06, + "loss": 0.8845, + "step": 8062 + }, + { + "epoch": 0.55, + "learning_rate": 4.4567609392043595e-06, + "loss": 0.5937, + "step": 8063 + }, + { + "epoch": 0.55, + "learning_rate": 4.4556656257401786e-06, + "loss": 0.8281, + "step": 8064 + }, + { + "epoch": 0.55, + "learning_rate": 4.454570338710437e-06, + "loss": 0.5864, + "step": 8065 + }, + { + "epoch": 0.55, + "learning_rate": 4.453475078168326e-06, + "loss": 0.6505, + "step": 8066 + }, + { + "epoch": 0.55, + "learning_rate": 4.4523798441670375e-06, + "loss": 0.6344, + "step": 8067 + }, + { + "epoch": 0.55, + "learning_rate": 4.451284636759755e-06, + "loss": 0.7262, + "step": 8068 + }, + { + "epoch": 0.55, + "learning_rate": 4.450189455999667e-06, + "loss": 0.7294, + "step": 8069 + }, + { + "epoch": 0.55, + "learning_rate": 4.44909430193996e-06, + "loss": 0.8534, + "step": 8070 + }, + { + "epoch": 0.55, + "learning_rate": 4.447999174633817e-06, + "loss": 0.8191, + "step": 8071 + }, + { + "epoch": 0.55, + "learning_rate": 4.446904074134417e-06, + "loss": 0.9817, + "step": 8072 + }, + { + "epoch": 0.55, + "learning_rate": 4.445809000494945e-06, + "loss": 0.9231, + "step": 8073 + }, + { + "epoch": 0.55, + "learning_rate": 4.444713953768582e-06, + "loss": 0.8422, + "step": 8074 + }, + { + "epoch": 0.55, + "learning_rate": 4.443618934008502e-06, + "loss": 0.8099, + "step": 8075 + }, + { + "epoch": 0.55, + "learning_rate": 4.442523941267886e-06, + "loss": 0.6182, + "step": 8076 + }, + { + "epoch": 0.55, + "learning_rate": 4.44142897559991e-06, + "loss": 0.9251, + "step": 8077 + }, + { + "epoch": 0.55, + "learning_rate": 4.440334037057746e-06, + "loss": 0.5688, + "step": 8078 + }, + { + "epoch": 0.55, + "learning_rate": 4.43923912569457e-06, + "loss": 0.5342, + "step": 8079 + }, + { + "epoch": 0.55, + "learning_rate": 4.438144241563554e-06, + "loss": 0.479, + "step": 8080 + }, + { + "epoch": 0.55, + "learning_rate": 4.437049384717867e-06, + "loss": 0.6317, + "step": 8081 + }, + { + "epoch": 0.55, + "learning_rate": 4.435954555210677e-06, + "loss": 0.556, + "step": 8082 + }, + { + "epoch": 0.55, + "learning_rate": 4.434859753095155e-06, + "loss": 0.6764, + "step": 8083 + }, + { + "epoch": 0.55, + "learning_rate": 4.43376497842447e-06, + "loss": 0.5896, + "step": 8084 + }, + { + "epoch": 0.55, + "learning_rate": 4.43267023125178e-06, + "loss": 0.6973, + "step": 8085 + }, + { + "epoch": 0.55, + "learning_rate": 4.431575511630256e-06, + "loss": 0.5875, + "step": 8086 + }, + { + "epoch": 0.55, + "learning_rate": 4.430480819613058e-06, + "loss": 0.5821, + "step": 8087 + }, + { + "epoch": 0.55, + "learning_rate": 4.429386155253346e-06, + "loss": 0.8577, + "step": 8088 + }, + { + "epoch": 0.55, + "learning_rate": 4.428291518604283e-06, + "loss": 0.8629, + "step": 8089 + }, + { + "epoch": 0.55, + "learning_rate": 4.427196909719026e-06, + "loss": 0.6518, + "step": 8090 + }, + { + "epoch": 0.55, + "learning_rate": 4.426102328650732e-06, + "loss": 0.7049, + "step": 8091 + }, + { + "epoch": 0.55, + "learning_rate": 4.4250077754525595e-06, + "loss": 0.6809, + "step": 8092 + }, + { + "epoch": 0.55, + "learning_rate": 4.42391325017766e-06, + "loss": 0.5934, + "step": 8093 + }, + { + "epoch": 0.55, + "learning_rate": 4.422818752879187e-06, + "loss": 0.8024, + "step": 8094 + }, + { + "epoch": 0.55, + "learning_rate": 4.421724283610295e-06, + "loss": 0.7429, + "step": 8095 + }, + { + "epoch": 0.55, + "learning_rate": 4.420629842424133e-06, + "loss": 0.5429, + "step": 8096 + }, + { + "epoch": 0.55, + "learning_rate": 4.4195354293738484e-06, + "loss": 0.7704, + "step": 8097 + }, + { + "epoch": 0.55, + "learning_rate": 4.418441044512594e-06, + "loss": 0.8414, + "step": 8098 + }, + { + "epoch": 0.55, + "learning_rate": 4.417346687893511e-06, + "loss": 0.7209, + "step": 8099 + }, + { + "epoch": 0.55, + "learning_rate": 4.416252359569748e-06, + "loss": 0.7426, + "step": 8100 + }, + { + "epoch": 0.55, + "learning_rate": 4.415158059594445e-06, + "loss": 0.5935, + "step": 8101 + }, + { + "epoch": 0.55, + "learning_rate": 4.414063788020751e-06, + "loss": 0.4793, + "step": 8102 + }, + { + "epoch": 0.55, + "learning_rate": 4.412969544901799e-06, + "loss": 0.6535, + "step": 8103 + }, + { + "epoch": 0.55, + "learning_rate": 4.411875330290732e-06, + "loss": 0.7909, + "step": 8104 + }, + { + "epoch": 0.55, + "learning_rate": 4.410781144240692e-06, + "loss": 0.9743, + "step": 8105 + }, + { + "epoch": 0.55, + "learning_rate": 4.40968698680481e-06, + "loss": 1.0962, + "step": 8106 + }, + { + "epoch": 0.55, + "learning_rate": 4.408592858036223e-06, + "loss": 0.6132, + "step": 8107 + }, + { + "epoch": 0.55, + "learning_rate": 4.407498757988068e-06, + "loss": 0.7343, + "step": 8108 + }, + { + "epoch": 0.55, + "learning_rate": 4.4064046867134755e-06, + "loss": 0.7398, + "step": 8109 + }, + { + "epoch": 0.55, + "learning_rate": 4.4053106442655745e-06, + "loss": 0.7235, + "step": 8110 + }, + { + "epoch": 0.55, + "learning_rate": 4.404216630697499e-06, + "loss": 0.7641, + "step": 8111 + }, + { + "epoch": 0.55, + "learning_rate": 4.403122646062375e-06, + "loss": 0.8935, + "step": 8112 + }, + { + "epoch": 0.55, + "learning_rate": 4.402028690413329e-06, + "loss": 0.492, + "step": 8113 + }, + { + "epoch": 0.55, + "learning_rate": 4.400934763803488e-06, + "loss": 0.8273, + "step": 8114 + }, + { + "epoch": 0.55, + "learning_rate": 4.399840866285977e-06, + "loss": 0.6973, + "step": 8115 + }, + { + "epoch": 0.55, + "learning_rate": 4.398746997913916e-06, + "loss": 0.6816, + "step": 8116 + }, + { + "epoch": 0.55, + "learning_rate": 4.39765315874043e-06, + "loss": 0.7536, + "step": 8117 + }, + { + "epoch": 0.55, + "learning_rate": 4.396559348818636e-06, + "loss": 0.4386, + "step": 8118 + }, + { + "epoch": 0.55, + "learning_rate": 4.395465568201655e-06, + "loss": 0.7375, + "step": 8119 + }, + { + "epoch": 0.55, + "learning_rate": 4.3943718169426e-06, + "loss": 0.7481, + "step": 8120 + }, + { + "epoch": 0.55, + "learning_rate": 4.393278095094591e-06, + "loss": 0.39, + "step": 8121 + }, + { + "epoch": 0.55, + "learning_rate": 4.392184402710742e-06, + "loss": 0.738, + "step": 8122 + }, + { + "epoch": 0.55, + "learning_rate": 4.391090739844161e-06, + "loss": 0.7727, + "step": 8123 + }, + { + "epoch": 0.55, + "learning_rate": 4.389997106547966e-06, + "loss": 0.5137, + "step": 8124 + }, + { + "epoch": 0.55, + "learning_rate": 4.3889035028752635e-06, + "loss": 0.8415, + "step": 8125 + }, + { + "epoch": 0.55, + "learning_rate": 4.387809928879161e-06, + "loss": 0.5146, + "step": 8126 + }, + { + "epoch": 0.55, + "learning_rate": 4.386716384612768e-06, + "loss": 0.5205, + "step": 8127 + }, + { + "epoch": 0.55, + "learning_rate": 4.3856228701291905e-06, + "loss": 0.7646, + "step": 8128 + }, + { + "epoch": 0.55, + "learning_rate": 4.384529385481528e-06, + "loss": 0.7378, + "step": 8129 + }, + { + "epoch": 0.55, + "learning_rate": 4.38343593072289e-06, + "loss": 0.9407, + "step": 8130 + }, + { + "epoch": 0.55, + "learning_rate": 4.382342505906374e-06, + "loss": 0.808, + "step": 8131 + }, + { + "epoch": 0.55, + "learning_rate": 4.381249111085078e-06, + "loss": 0.6088, + "step": 8132 + }, + { + "epoch": 0.55, + "learning_rate": 4.380155746312106e-06, + "loss": 1.0463, + "step": 8133 + }, + { + "epoch": 0.55, + "learning_rate": 4.3790624116405494e-06, + "loss": 0.7317, + "step": 8134 + }, + { + "epoch": 0.55, + "learning_rate": 4.377969107123505e-06, + "loss": 0.8812, + "step": 8135 + }, + { + "epoch": 0.55, + "learning_rate": 4.376875832814071e-06, + "loss": 0.9381, + "step": 8136 + }, + { + "epoch": 0.55, + "learning_rate": 4.3757825887653345e-06, + "loss": 1.018, + "step": 8137 + }, + { + "epoch": 0.55, + "learning_rate": 4.374689375030391e-06, + "loss": 0.5483, + "step": 8138 + }, + { + "epoch": 0.55, + "learning_rate": 4.373596191662324e-06, + "loss": 0.7509, + "step": 8139 + }, + { + "epoch": 0.55, + "learning_rate": 4.3725030387142295e-06, + "loss": 0.6475, + "step": 8140 + }, + { + "epoch": 0.55, + "learning_rate": 4.371409916239188e-06, + "loss": 0.6979, + "step": 8141 + }, + { + "epoch": 0.55, + "learning_rate": 4.370316824290285e-06, + "loss": 0.7221, + "step": 8142 + }, + { + "epoch": 0.55, + "learning_rate": 4.369223762920609e-06, + "loss": 0.7301, + "step": 8143 + }, + { + "epoch": 0.55, + "learning_rate": 4.3681307321832385e-06, + "loss": 0.71, + "step": 8144 + }, + { + "epoch": 0.55, + "learning_rate": 4.367037732131254e-06, + "loss": 0.7102, + "step": 8145 + }, + { + "epoch": 0.55, + "learning_rate": 4.365944762817736e-06, + "loss": 0.8291, + "step": 8146 + }, + { + "epoch": 0.55, + "learning_rate": 4.364851824295764e-06, + "loss": 0.8486, + "step": 8147 + }, + { + "epoch": 0.55, + "learning_rate": 4.363758916618409e-06, + "loss": 0.6699, + "step": 8148 + }, + { + "epoch": 0.55, + "learning_rate": 4.36266603983875e-06, + "loss": 0.9399, + "step": 8149 + }, + { + "epoch": 0.55, + "learning_rate": 4.361573194009859e-06, + "loss": 0.8851, + "step": 8150 + }, + { + "epoch": 0.55, + "learning_rate": 4.360480379184807e-06, + "loss": 0.7672, + "step": 8151 + }, + { + "epoch": 0.55, + "learning_rate": 4.359387595416665e-06, + "loss": 0.9476, + "step": 8152 + }, + { + "epoch": 0.55, + "learning_rate": 4.358294842758504e-06, + "loss": 0.5784, + "step": 8153 + }, + { + "epoch": 0.55, + "learning_rate": 4.3572021212633865e-06, + "loss": 0.696, + "step": 8154 + }, + { + "epoch": 0.55, + "learning_rate": 4.356109430984381e-06, + "loss": 0.4672, + "step": 8155 + }, + { + "epoch": 0.55, + "learning_rate": 4.355016771974553e-06, + "loss": 0.6684, + "step": 8156 + }, + { + "epoch": 0.55, + "learning_rate": 4.353924144286963e-06, + "loss": 0.7524, + "step": 8157 + }, + { + "epoch": 0.56, + "learning_rate": 4.352831547974671e-06, + "loss": 1.0172, + "step": 8158 + }, + { + "epoch": 0.56, + "learning_rate": 4.351738983090739e-06, + "loss": 0.594, + "step": 8159 + }, + { + "epoch": 0.56, + "learning_rate": 4.350646449688226e-06, + "loss": 0.6577, + "step": 8160 + }, + { + "epoch": 0.56, + "learning_rate": 4.3495539478201834e-06, + "loss": 0.7814, + "step": 8161 + }, + { + "epoch": 0.56, + "learning_rate": 4.348461477539672e-06, + "loss": 0.8141, + "step": 8162 + }, + { + "epoch": 0.56, + "learning_rate": 4.347369038899744e-06, + "loss": 0.7463, + "step": 8163 + }, + { + "epoch": 0.56, + "learning_rate": 4.346276631953447e-06, + "loss": 0.8488, + "step": 8164 + }, + { + "epoch": 0.56, + "learning_rate": 4.345184256753837e-06, + "loss": 0.6454, + "step": 8165 + }, + { + "epoch": 0.56, + "learning_rate": 4.344091913353962e-06, + "loss": 0.5826, + "step": 8166 + }, + { + "epoch": 0.56, + "learning_rate": 4.342999601806865e-06, + "loss": 0.6088, + "step": 8167 + }, + { + "epoch": 0.56, + "learning_rate": 4.3419073221655975e-06, + "loss": 0.6827, + "step": 8168 + }, + { + "epoch": 0.56, + "learning_rate": 4.340815074483199e-06, + "loss": 0.742, + "step": 8169 + }, + { + "epoch": 0.56, + "learning_rate": 4.3397228588127136e-06, + "loss": 0.904, + "step": 8170 + }, + { + "epoch": 0.56, + "learning_rate": 4.338630675207186e-06, + "loss": 0.6907, + "step": 8171 + }, + { + "epoch": 0.56, + "learning_rate": 4.337538523719651e-06, + "loss": 0.6858, + "step": 8172 + }, + { + "epoch": 0.56, + "learning_rate": 4.3364464044031494e-06, + "loss": 0.5337, + "step": 8173 + }, + { + "epoch": 0.56, + "learning_rate": 4.335354317310715e-06, + "loss": 0.9552, + "step": 8174 + }, + { + "epoch": 0.56, + "learning_rate": 4.334262262495385e-06, + "loss": 0.7115, + "step": 8175 + }, + { + "epoch": 0.56, + "learning_rate": 4.333170240010193e-06, + "loss": 0.8428, + "step": 8176 + }, + { + "epoch": 0.56, + "learning_rate": 4.332078249908168e-06, + "loss": 0.5807, + "step": 8177 + }, + { + "epoch": 0.56, + "learning_rate": 4.330986292242344e-06, + "loss": 0.8161, + "step": 8178 + }, + { + "epoch": 0.56, + "learning_rate": 4.329894367065747e-06, + "loss": 0.81, + "step": 8179 + }, + { + "epoch": 0.56, + "learning_rate": 4.3288024744314034e-06, + "loss": 0.5318, + "step": 8180 + }, + { + "epoch": 0.56, + "learning_rate": 4.327710614392341e-06, + "loss": 0.6997, + "step": 8181 + }, + { + "epoch": 0.56, + "learning_rate": 4.326618787001583e-06, + "loss": 0.7506, + "step": 8182 + }, + { + "epoch": 0.56, + "learning_rate": 4.3255269923121494e-06, + "loss": 0.7743, + "step": 8183 + }, + { + "epoch": 0.56, + "learning_rate": 4.324435230377065e-06, + "loss": 0.8733, + "step": 8184 + }, + { + "epoch": 0.56, + "learning_rate": 4.323343501249346e-06, + "loss": 0.6495, + "step": 8185 + }, + { + "epoch": 0.56, + "learning_rate": 4.322251804982009e-06, + "loss": 0.6702, + "step": 8186 + }, + { + "epoch": 0.56, + "learning_rate": 4.321160141628073e-06, + "loss": 0.6713, + "step": 8187 + }, + { + "epoch": 0.56, + "learning_rate": 4.320068511240551e-06, + "loss": 0.5384, + "step": 8188 + }, + { + "epoch": 0.56, + "learning_rate": 4.3189769138724525e-06, + "loss": 0.9877, + "step": 8189 + }, + { + "epoch": 0.56, + "learning_rate": 4.317885349576794e-06, + "loss": 0.5514, + "step": 8190 + }, + { + "epoch": 0.56, + "learning_rate": 4.316793818406583e-06, + "loss": 0.7665, + "step": 8191 + }, + { + "epoch": 0.56, + "learning_rate": 4.315702320414825e-06, + "loss": 0.7473, + "step": 8192 + }, + { + "epoch": 0.56, + "learning_rate": 4.314610855654528e-06, + "loss": 0.7527, + "step": 8193 + }, + { + "epoch": 0.56, + "learning_rate": 4.313519424178699e-06, + "loss": 0.6067, + "step": 8194 + }, + { + "epoch": 0.56, + "learning_rate": 4.312428026040339e-06, + "loss": 0.7271, + "step": 8195 + }, + { + "epoch": 0.56, + "learning_rate": 4.311336661292447e-06, + "loss": 0.7075, + "step": 8196 + }, + { + "epoch": 0.56, + "learning_rate": 4.310245329988026e-06, + "loss": 0.5588, + "step": 8197 + }, + { + "epoch": 0.56, + "learning_rate": 4.309154032180074e-06, + "loss": 1.0875, + "step": 8198 + }, + { + "epoch": 0.56, + "learning_rate": 4.308062767921586e-06, + "loss": 0.9302, + "step": 8199 + }, + { + "epoch": 0.56, + "learning_rate": 4.306971537265558e-06, + "loss": 0.7907, + "step": 8200 + }, + { + "epoch": 0.56, + "learning_rate": 4.305880340264985e-06, + "loss": 0.7306, + "step": 8201 + }, + { + "epoch": 0.56, + "learning_rate": 4.304789176972853e-06, + "loss": 0.4973, + "step": 8202 + }, + { + "epoch": 0.56, + "learning_rate": 4.303698047442158e-06, + "loss": 0.6516, + "step": 8203 + }, + { + "epoch": 0.56, + "learning_rate": 4.302606951725887e-06, + "loss": 0.5569, + "step": 8204 + }, + { + "epoch": 0.56, + "learning_rate": 4.3015158898770244e-06, + "loss": 0.7039, + "step": 8205 + }, + { + "epoch": 0.56, + "learning_rate": 4.300424861948558e-06, + "loss": 0.605, + "step": 8206 + }, + { + "epoch": 0.56, + "learning_rate": 4.2993338679934695e-06, + "loss": 0.7503, + "step": 8207 + }, + { + "epoch": 0.56, + "learning_rate": 4.29824290806474e-06, + "loss": 0.9439, + "step": 8208 + }, + { + "epoch": 0.56, + "learning_rate": 4.297151982215353e-06, + "loss": 0.9811, + "step": 8209 + }, + { + "epoch": 0.56, + "learning_rate": 4.296061090498284e-06, + "loss": 0.6514, + "step": 8210 + }, + { + "epoch": 0.56, + "learning_rate": 4.294970232966512e-06, + "loss": 0.8832, + "step": 8211 + }, + { + "epoch": 0.56, + "learning_rate": 4.293879409673008e-06, + "loss": 0.7055, + "step": 8212 + }, + { + "epoch": 0.56, + "learning_rate": 4.292788620670751e-06, + "loss": 0.5191, + "step": 8213 + }, + { + "epoch": 0.56, + "learning_rate": 4.291697866012709e-06, + "loss": 0.5995, + "step": 8214 + }, + { + "epoch": 0.56, + "learning_rate": 4.290607145751854e-06, + "loss": 0.8125, + "step": 8215 + }, + { + "epoch": 0.56, + "learning_rate": 4.289516459941153e-06, + "loss": 0.7214, + "step": 8216 + }, + { + "epoch": 0.56, + "learning_rate": 4.2884258086335755e-06, + "loss": 0.7221, + "step": 8217 + }, + { + "epoch": 0.56, + "learning_rate": 4.287335191882083e-06, + "loss": 0.6101, + "step": 8218 + }, + { + "epoch": 0.56, + "learning_rate": 4.286244609739643e-06, + "loss": 0.761, + "step": 8219 + }, + { + "epoch": 0.56, + "learning_rate": 4.285154062259214e-06, + "loss": 0.6818, + "step": 8220 + }, + { + "epoch": 0.56, + "learning_rate": 4.284063549493756e-06, + "loss": 0.6853, + "step": 8221 + }, + { + "epoch": 0.56, + "learning_rate": 4.2829730714962314e-06, + "loss": 0.7978, + "step": 8222 + }, + { + "epoch": 0.56, + "learning_rate": 4.281882628319594e-06, + "loss": 0.6564, + "step": 8223 + }, + { + "epoch": 0.56, + "learning_rate": 4.280792220016797e-06, + "loss": 0.7803, + "step": 8224 + }, + { + "epoch": 0.56, + "learning_rate": 4.279701846640798e-06, + "loss": 0.7645, + "step": 8225 + }, + { + "epoch": 0.56, + "learning_rate": 4.278611508244547e-06, + "loss": 0.5311, + "step": 8226 + }, + { + "epoch": 0.56, + "learning_rate": 4.277521204880991e-06, + "loss": 0.6442, + "step": 8227 + }, + { + "epoch": 0.56, + "learning_rate": 4.276430936603082e-06, + "loss": 0.6524, + "step": 8228 + }, + { + "epoch": 0.56, + "learning_rate": 4.275340703463767e-06, + "loss": 0.4217, + "step": 8229 + }, + { + "epoch": 0.56, + "learning_rate": 4.274250505515988e-06, + "loss": 0.6696, + "step": 8230 + }, + { + "epoch": 0.56, + "learning_rate": 4.273160342812689e-06, + "loss": 0.9419, + "step": 8231 + }, + { + "epoch": 0.56, + "learning_rate": 4.272070215406813e-06, + "loss": 0.7866, + "step": 8232 + }, + { + "epoch": 0.56, + "learning_rate": 4.270980123351299e-06, + "loss": 0.7573, + "step": 8233 + }, + { + "epoch": 0.56, + "learning_rate": 4.269890066699082e-06, + "loss": 0.6289, + "step": 8234 + }, + { + "epoch": 0.56, + "learning_rate": 4.268800045503102e-06, + "loss": 0.6473, + "step": 8235 + }, + { + "epoch": 0.56, + "learning_rate": 4.267710059816294e-06, + "loss": 0.7674, + "step": 8236 + }, + { + "epoch": 0.56, + "learning_rate": 4.266620109691586e-06, + "loss": 0.9146, + "step": 8237 + }, + { + "epoch": 0.56, + "learning_rate": 4.265530195181915e-06, + "loss": 0.7311, + "step": 8238 + }, + { + "epoch": 0.56, + "learning_rate": 4.264440316340208e-06, + "loss": 0.8836, + "step": 8239 + }, + { + "epoch": 0.56, + "learning_rate": 4.26335047321939e-06, + "loss": 0.824, + "step": 8240 + }, + { + "epoch": 0.56, + "learning_rate": 4.26226066587239e-06, + "loss": 0.6187, + "step": 8241 + }, + { + "epoch": 0.56, + "learning_rate": 4.261170894352133e-06, + "loss": 0.7418, + "step": 8242 + }, + { + "epoch": 0.56, + "learning_rate": 4.260081158711538e-06, + "loss": 0.86, + "step": 8243 + }, + { + "epoch": 0.56, + "learning_rate": 4.258991459003529e-06, + "loss": 0.7286, + "step": 8244 + }, + { + "epoch": 0.56, + "learning_rate": 4.257901795281024e-06, + "loss": 0.7065, + "step": 8245 + }, + { + "epoch": 0.56, + "learning_rate": 4.256812167596937e-06, + "loss": 0.6147, + "step": 8246 + }, + { + "epoch": 0.56, + "learning_rate": 4.255722576004189e-06, + "loss": 0.7234, + "step": 8247 + }, + { + "epoch": 0.56, + "learning_rate": 4.25463302055569e-06, + "loss": 0.7438, + "step": 8248 + }, + { + "epoch": 0.56, + "learning_rate": 4.2535435013043535e-06, + "loss": 0.9295, + "step": 8249 + }, + { + "epoch": 0.56, + "learning_rate": 4.252454018303087e-06, + "loss": 0.8376, + "step": 8250 + }, + { + "epoch": 0.56, + "learning_rate": 4.251364571604803e-06, + "loss": 0.5434, + "step": 8251 + }, + { + "epoch": 0.56, + "learning_rate": 4.2502751612624055e-06, + "loss": 0.769, + "step": 8252 + }, + { + "epoch": 0.56, + "learning_rate": 4.249185787328798e-06, + "loss": 0.6656, + "step": 8253 + }, + { + "epoch": 0.56, + "learning_rate": 4.248096449856889e-06, + "loss": 0.9062, + "step": 8254 + }, + { + "epoch": 0.56, + "learning_rate": 4.247007148899575e-06, + "loss": 0.5854, + "step": 8255 + }, + { + "epoch": 0.56, + "learning_rate": 4.245917884509756e-06, + "loss": 0.556, + "step": 8256 + }, + { + "epoch": 0.56, + "learning_rate": 4.2448286567403315e-06, + "loss": 0.6182, + "step": 8257 + }, + { + "epoch": 0.56, + "learning_rate": 4.243739465644197e-06, + "loss": 0.7888, + "step": 8258 + }, + { + "epoch": 0.56, + "learning_rate": 4.242650311274246e-06, + "loss": 0.9456, + "step": 8259 + }, + { + "epoch": 0.56, + "learning_rate": 4.241561193683373e-06, + "loss": 0.9127, + "step": 8260 + }, + { + "epoch": 0.56, + "learning_rate": 4.240472112924469e-06, + "loss": 0.5798, + "step": 8261 + }, + { + "epoch": 0.56, + "learning_rate": 4.239383069050417e-06, + "loss": 0.8681, + "step": 8262 + }, + { + "epoch": 0.56, + "learning_rate": 4.23829406211411e-06, + "loss": 0.7226, + "step": 8263 + }, + { + "epoch": 0.56, + "learning_rate": 4.237205092168433e-06, + "loss": 0.7229, + "step": 8264 + }, + { + "epoch": 0.56, + "learning_rate": 4.2361161592662655e-06, + "loss": 0.8957, + "step": 8265 + }, + { + "epoch": 0.56, + "learning_rate": 4.2350272634604924e-06, + "loss": 0.752, + "step": 8266 + }, + { + "epoch": 0.56, + "learning_rate": 4.233938404803995e-06, + "loss": 0.4675, + "step": 8267 + }, + { + "epoch": 0.56, + "learning_rate": 4.232849583349649e-06, + "loss": 0.869, + "step": 8268 + }, + { + "epoch": 0.56, + "learning_rate": 4.2317607991503285e-06, + "loss": 0.557, + "step": 8269 + }, + { + "epoch": 0.56, + "learning_rate": 4.230672052258913e-06, + "loss": 0.98, + "step": 8270 + }, + { + "epoch": 0.56, + "learning_rate": 4.229583342728273e-06, + "loss": 0.597, + "step": 8271 + }, + { + "epoch": 0.56, + "learning_rate": 4.228494670611278e-06, + "loss": 0.9621, + "step": 8272 + }, + { + "epoch": 0.56, + "learning_rate": 4.227406035960798e-06, + "loss": 0.5899, + "step": 8273 + }, + { + "epoch": 0.56, + "learning_rate": 4.226317438829702e-06, + "loss": 0.5995, + "step": 8274 + }, + { + "epoch": 0.56, + "learning_rate": 4.2252288792708515e-06, + "loss": 0.7105, + "step": 8275 + }, + { + "epoch": 0.56, + "learning_rate": 4.224140357337114e-06, + "loss": 0.8118, + "step": 8276 + }, + { + "epoch": 0.56, + "learning_rate": 4.2230518730813495e-06, + "loss": 0.679, + "step": 8277 + }, + { + "epoch": 0.56, + "learning_rate": 4.221963426556417e-06, + "loss": 0.7836, + "step": 8278 + }, + { + "epoch": 0.56, + "learning_rate": 4.220875017815177e-06, + "loss": 0.7547, + "step": 8279 + }, + { + "epoch": 0.56, + "learning_rate": 4.219786646910484e-06, + "loss": 0.8886, + "step": 8280 + }, + { + "epoch": 0.56, + "learning_rate": 4.218698313895192e-06, + "loss": 0.9381, + "step": 8281 + }, + { + "epoch": 0.56, + "learning_rate": 4.217610018822156e-06, + "loss": 0.7217, + "step": 8282 + }, + { + "epoch": 0.56, + "learning_rate": 4.216521761744224e-06, + "loss": 0.6825, + "step": 8283 + }, + { + "epoch": 0.56, + "learning_rate": 4.215433542714248e-06, + "loss": 0.893, + "step": 8284 + }, + { + "epoch": 0.56, + "learning_rate": 4.21434536178507e-06, + "loss": 0.733, + "step": 8285 + }, + { + "epoch": 0.56, + "learning_rate": 4.21325721900954e-06, + "loss": 0.75, + "step": 8286 + }, + { + "epoch": 0.56, + "learning_rate": 4.2121691144405e-06, + "loss": 0.5601, + "step": 8287 + }, + { + "epoch": 0.56, + "learning_rate": 4.21108104813079e-06, + "loss": 0.7784, + "step": 8288 + }, + { + "epoch": 0.56, + "learning_rate": 4.209993020133251e-06, + "loss": 0.9692, + "step": 8289 + }, + { + "epoch": 0.56, + "learning_rate": 4.208905030500722e-06, + "loss": 0.7906, + "step": 8290 + }, + { + "epoch": 0.56, + "learning_rate": 4.207817079286034e-06, + "loss": 0.7457, + "step": 8291 + }, + { + "epoch": 0.56, + "learning_rate": 4.206729166542028e-06, + "loss": 0.8662, + "step": 8292 + }, + { + "epoch": 0.56, + "learning_rate": 4.205641292321531e-06, + "loss": 0.8072, + "step": 8293 + }, + { + "epoch": 0.56, + "learning_rate": 4.204553456677374e-06, + "loss": 0.5857, + "step": 8294 + }, + { + "epoch": 0.56, + "learning_rate": 4.203465659662388e-06, + "loss": 0.6412, + "step": 8295 + }, + { + "epoch": 0.56, + "learning_rate": 4.202377901329397e-06, + "loss": 0.6039, + "step": 8296 + }, + { + "epoch": 0.56, + "learning_rate": 4.2012901817312255e-06, + "loss": 0.5853, + "step": 8297 + }, + { + "epoch": 0.56, + "learning_rate": 4.2002025009207e-06, + "loss": 0.7423, + "step": 8298 + }, + { + "epoch": 0.56, + "learning_rate": 4.199114858950638e-06, + "loss": 0.6427, + "step": 8299 + }, + { + "epoch": 0.56, + "learning_rate": 4.198027255873857e-06, + "loss": 0.9514, + "step": 8300 + }, + { + "epoch": 0.56, + "learning_rate": 4.196939691743178e-06, + "loss": 0.5842, + "step": 8301 + }, + { + "epoch": 0.56, + "learning_rate": 4.195852166611416e-06, + "loss": 0.7297, + "step": 8302 + }, + { + "epoch": 0.56, + "learning_rate": 4.194764680531381e-06, + "loss": 0.7088, + "step": 8303 + }, + { + "epoch": 0.56, + "learning_rate": 4.193677233555886e-06, + "loss": 0.983, + "step": 8304 + }, + { + "epoch": 0.57, + "learning_rate": 4.192589825737742e-06, + "loss": 0.6839, + "step": 8305 + }, + { + "epoch": 0.57, + "learning_rate": 4.191502457129756e-06, + "loss": 0.7454, + "step": 8306 + }, + { + "epoch": 0.57, + "learning_rate": 4.190415127784731e-06, + "loss": 1.1431, + "step": 8307 + }, + { + "epoch": 0.57, + "learning_rate": 4.189327837755475e-06, + "loss": 0.6876, + "step": 8308 + }, + { + "epoch": 0.57, + "learning_rate": 4.18824058709479e-06, + "loss": 0.7879, + "step": 8309 + }, + { + "epoch": 0.57, + "learning_rate": 4.187153375855471e-06, + "loss": 0.7745, + "step": 8310 + }, + { + "epoch": 0.57, + "learning_rate": 4.18606620409032e-06, + "loss": 0.4125, + "step": 8311 + }, + { + "epoch": 0.57, + "learning_rate": 4.184979071852134e-06, + "loss": 0.6152, + "step": 8312 + }, + { + "epoch": 0.57, + "learning_rate": 4.183891979193703e-06, + "loss": 0.656, + "step": 8313 + }, + { + "epoch": 0.57, + "learning_rate": 4.182804926167824e-06, + "loss": 0.8333, + "step": 8314 + }, + { + "epoch": 0.57, + "learning_rate": 4.181717912827286e-06, + "loss": 0.7626, + "step": 8315 + }, + { + "epoch": 0.57, + "learning_rate": 4.1806309392248745e-06, + "loss": 0.5058, + "step": 8316 + }, + { + "epoch": 0.57, + "learning_rate": 4.17954400541338e-06, + "loss": 0.791, + "step": 8317 + }, + { + "epoch": 0.57, + "learning_rate": 4.178457111445587e-06, + "loss": 0.7966, + "step": 8318 + }, + { + "epoch": 0.57, + "learning_rate": 4.177370257374273e-06, + "loss": 0.926, + "step": 8319 + }, + { + "epoch": 0.57, + "learning_rate": 4.176283443252227e-06, + "loss": 0.6531, + "step": 8320 + }, + { + "epoch": 0.57, + "learning_rate": 4.175196669132221e-06, + "loss": 0.627, + "step": 8321 + }, + { + "epoch": 0.57, + "learning_rate": 4.174109935067036e-06, + "loss": 0.7219, + "step": 8322 + }, + { + "epoch": 0.57, + "learning_rate": 4.173023241109442e-06, + "loss": 0.5824, + "step": 8323 + }, + { + "epoch": 0.57, + "learning_rate": 4.171936587312216e-06, + "loss": 0.5861, + "step": 8324 + }, + { + "epoch": 0.57, + "learning_rate": 4.1708499737281305e-06, + "loss": 0.6725, + "step": 8325 + }, + { + "epoch": 0.57, + "learning_rate": 4.16976340040995e-06, + "loss": 0.7743, + "step": 8326 + }, + { + "epoch": 0.57, + "learning_rate": 4.168676867410445e-06, + "loss": 0.5196, + "step": 8327 + }, + { + "epoch": 0.57, + "learning_rate": 4.1675903747823795e-06, + "loss": 0.738, + "step": 8328 + }, + { + "epoch": 0.57, + "learning_rate": 4.166503922578516e-06, + "loss": 0.5058, + "step": 8329 + }, + { + "epoch": 0.57, + "learning_rate": 4.165417510851618e-06, + "loss": 0.8041, + "step": 8330 + }, + { + "epoch": 0.57, + "learning_rate": 4.164331139654442e-06, + "loss": 0.8881, + "step": 8331 + }, + { + "epoch": 0.57, + "learning_rate": 4.163244809039746e-06, + "loss": 0.666, + "step": 8332 + }, + { + "epoch": 0.57, + "learning_rate": 4.162158519060287e-06, + "loss": 0.8172, + "step": 8333 + }, + { + "epoch": 0.57, + "learning_rate": 4.161072269768818e-06, + "loss": 0.6095, + "step": 8334 + }, + { + "epoch": 0.57, + "learning_rate": 4.159986061218087e-06, + "loss": 0.7157, + "step": 8335 + }, + { + "epoch": 0.57, + "learning_rate": 4.158899893460849e-06, + "loss": 0.6439, + "step": 8336 + }, + { + "epoch": 0.57, + "learning_rate": 4.1578137665498485e-06, + "loss": 1.042, + "step": 8337 + }, + { + "epoch": 0.57, + "learning_rate": 4.156727680537829e-06, + "loss": 0.6432, + "step": 8338 + }, + { + "epoch": 0.57, + "learning_rate": 4.155641635477536e-06, + "loss": 0.8061, + "step": 8339 + }, + { + "epoch": 0.57, + "learning_rate": 4.154555631421713e-06, + "loss": 0.5896, + "step": 8340 + }, + { + "epoch": 0.57, + "learning_rate": 4.153469668423096e-06, + "loss": 0.5437, + "step": 8341 + }, + { + "epoch": 0.57, + "learning_rate": 4.152383746534422e-06, + "loss": 0.6433, + "step": 8342 + }, + { + "epoch": 0.57, + "learning_rate": 4.151297865808432e-06, + "loss": 0.9019, + "step": 8343 + }, + { + "epoch": 0.57, + "learning_rate": 4.150212026297853e-06, + "loss": 0.6817, + "step": 8344 + }, + { + "epoch": 0.57, + "learning_rate": 4.149126228055419e-06, + "loss": 0.6659, + "step": 8345 + }, + { + "epoch": 0.57, + "learning_rate": 4.148040471133862e-06, + "loss": 0.6256, + "step": 8346 + }, + { + "epoch": 0.57, + "learning_rate": 4.146954755585908e-06, + "loss": 0.778, + "step": 8347 + }, + { + "epoch": 0.57, + "learning_rate": 4.145869081464278e-06, + "loss": 0.8176, + "step": 8348 + }, + { + "epoch": 0.57, + "learning_rate": 4.1447834488217005e-06, + "loss": 0.5439, + "step": 8349 + }, + { + "epoch": 0.57, + "learning_rate": 4.143697857710898e-06, + "loss": 0.7561, + "step": 8350 + }, + { + "epoch": 0.57, + "learning_rate": 4.142612308184584e-06, + "loss": 0.7437, + "step": 8351 + }, + { + "epoch": 0.57, + "learning_rate": 4.141526800295481e-06, + "loss": 0.449, + "step": 8352 + }, + { + "epoch": 0.57, + "learning_rate": 4.140441334096304e-06, + "loss": 0.6051, + "step": 8353 + }, + { + "epoch": 0.57, + "learning_rate": 4.139355909639763e-06, + "loss": 0.9096, + "step": 8354 + }, + { + "epoch": 0.57, + "learning_rate": 4.138270526978573e-06, + "loss": 0.5267, + "step": 8355 + }, + { + "epoch": 0.57, + "learning_rate": 4.137185186165442e-06, + "loss": 0.9226, + "step": 8356 + }, + { + "epoch": 0.57, + "learning_rate": 4.136099887253076e-06, + "loss": 0.5913, + "step": 8357 + }, + { + "epoch": 0.57, + "learning_rate": 4.1350146302941815e-06, + "loss": 0.766, + "step": 8358 + }, + { + "epoch": 0.57, + "learning_rate": 4.133929415341462e-06, + "loss": 0.6397, + "step": 8359 + }, + { + "epoch": 0.57, + "learning_rate": 4.132844242447619e-06, + "loss": 1.0979, + "step": 8360 + }, + { + "epoch": 0.57, + "learning_rate": 4.131759111665349e-06, + "loss": 0.6906, + "step": 8361 + }, + { + "epoch": 0.57, + "learning_rate": 4.130674023047351e-06, + "loss": 0.7748, + "step": 8362 + }, + { + "epoch": 0.57, + "learning_rate": 4.129588976646322e-06, + "loss": 0.9206, + "step": 8363 + }, + { + "epoch": 0.57, + "learning_rate": 4.12850397251495e-06, + "loss": 0.4183, + "step": 8364 + }, + { + "epoch": 0.57, + "learning_rate": 4.12741901070593e-06, + "loss": 0.7125, + "step": 8365 + }, + { + "epoch": 0.57, + "learning_rate": 4.12633409127195e-06, + "loss": 0.7079, + "step": 8366 + }, + { + "epoch": 0.57, + "learning_rate": 4.1252492142656955e-06, + "loss": 0.7537, + "step": 8367 + }, + { + "epoch": 0.57, + "learning_rate": 4.1241643797398535e-06, + "loss": 0.608, + "step": 8368 + }, + { + "epoch": 0.57, + "learning_rate": 4.123079587747104e-06, + "loss": 0.7801, + "step": 8369 + }, + { + "epoch": 0.57, + "learning_rate": 4.121994838340128e-06, + "loss": 0.6882, + "step": 8370 + }, + { + "epoch": 0.57, + "learning_rate": 4.120910131571608e-06, + "loss": 0.8727, + "step": 8371 + }, + { + "epoch": 0.57, + "learning_rate": 4.119825467494216e-06, + "loss": 0.67, + "step": 8372 + }, + { + "epoch": 0.57, + "learning_rate": 4.118740846160626e-06, + "loss": 0.4483, + "step": 8373 + }, + { + "epoch": 0.57, + "learning_rate": 4.117656267623516e-06, + "loss": 0.6899, + "step": 8374 + }, + { + "epoch": 0.57, + "learning_rate": 4.116571731935551e-06, + "loss": 0.8614, + "step": 8375 + }, + { + "epoch": 0.57, + "learning_rate": 4.115487239149399e-06, + "loss": 0.672, + "step": 8376 + }, + { + "epoch": 0.57, + "learning_rate": 4.114402789317729e-06, + "loss": 0.6895, + "step": 8377 + }, + { + "epoch": 0.57, + "learning_rate": 4.113318382493204e-06, + "loss": 0.5437, + "step": 8378 + }, + { + "epoch": 0.57, + "learning_rate": 4.1122340187284845e-06, + "loss": 0.8579, + "step": 8379 + }, + { + "epoch": 0.57, + "learning_rate": 4.111149698076231e-06, + "loss": 0.5665, + "step": 8380 + }, + { + "epoch": 0.57, + "learning_rate": 4.110065420589104e-06, + "loss": 0.6185, + "step": 8381 + }, + { + "epoch": 0.57, + "learning_rate": 4.108981186319755e-06, + "loss": 1.0078, + "step": 8382 + }, + { + "epoch": 0.57, + "learning_rate": 4.1078969953208394e-06, + "loss": 0.8203, + "step": 8383 + }, + { + "epoch": 0.57, + "learning_rate": 4.10681284764501e-06, + "loss": 0.8796, + "step": 8384 + }, + { + "epoch": 0.57, + "learning_rate": 4.1057287433449145e-06, + "loss": 0.6972, + "step": 8385 + }, + { + "epoch": 0.57, + "learning_rate": 4.104644682473198e-06, + "loss": 0.577, + "step": 8386 + }, + { + "epoch": 0.57, + "learning_rate": 4.103560665082509e-06, + "loss": 0.4092, + "step": 8387 + }, + { + "epoch": 0.57, + "learning_rate": 4.1024766912254915e-06, + "loss": 0.9293, + "step": 8388 + }, + { + "epoch": 0.57, + "learning_rate": 4.101392760954781e-06, + "loss": 0.7286, + "step": 8389 + }, + { + "epoch": 0.57, + "learning_rate": 4.100308874323021e-06, + "loss": 0.7944, + "step": 8390 + }, + { + "epoch": 0.57, + "learning_rate": 4.099225031382848e-06, + "loss": 0.6427, + "step": 8391 + }, + { + "epoch": 0.57, + "learning_rate": 4.098141232186893e-06, + "loss": 0.6235, + "step": 8392 + }, + { + "epoch": 0.57, + "learning_rate": 4.097057476787792e-06, + "loss": 0.9586, + "step": 8393 + }, + { + "epoch": 0.57, + "learning_rate": 4.0959737652381745e-06, + "loss": 0.7546, + "step": 8394 + }, + { + "epoch": 0.57, + "learning_rate": 4.094890097590666e-06, + "loss": 0.869, + "step": 8395 + }, + { + "epoch": 0.57, + "learning_rate": 4.093806473897897e-06, + "loss": 0.6044, + "step": 8396 + }, + { + "epoch": 0.57, + "learning_rate": 4.092722894212488e-06, + "loss": 0.8233, + "step": 8397 + }, + { + "epoch": 0.57, + "learning_rate": 4.091639358587062e-06, + "loss": 0.7768, + "step": 8398 + }, + { + "epoch": 0.57, + "learning_rate": 4.090555867074237e-06, + "loss": 0.7523, + "step": 8399 + }, + { + "epoch": 0.57, + "learning_rate": 4.089472419726632e-06, + "loss": 0.7203, + "step": 8400 + }, + { + "epoch": 0.57, + "learning_rate": 4.088389016596864e-06, + "loss": 0.6209, + "step": 8401 + }, + { + "epoch": 0.57, + "learning_rate": 4.0873056577375416e-06, + "loss": 0.6859, + "step": 8402 + }, + { + "epoch": 0.57, + "learning_rate": 4.086222343201279e-06, + "loss": 0.6771, + "step": 8403 + }, + { + "epoch": 0.57, + "learning_rate": 4.085139073040687e-06, + "loss": 0.6263, + "step": 8404 + }, + { + "epoch": 0.57, + "learning_rate": 4.084055847308367e-06, + "loss": 0.5364, + "step": 8405 + }, + { + "epoch": 0.57, + "learning_rate": 4.0829726660569285e-06, + "loss": 0.7679, + "step": 8406 + }, + { + "epoch": 0.57, + "learning_rate": 4.08188952933897e-06, + "loss": 0.8259, + "step": 8407 + }, + { + "epoch": 0.57, + "learning_rate": 4.080806437207094e-06, + "loss": 0.6146, + "step": 8408 + }, + { + "epoch": 0.57, + "learning_rate": 4.079723389713899e-06, + "loss": 0.9545, + "step": 8409 + }, + { + "epoch": 0.57, + "learning_rate": 4.078640386911979e-06, + "loss": 0.7901, + "step": 8410 + }, + { + "epoch": 0.57, + "learning_rate": 4.0775574288539285e-06, + "loss": 0.8205, + "step": 8411 + }, + { + "epoch": 0.57, + "learning_rate": 4.076474515592341e-06, + "loss": 0.7108, + "step": 8412 + }, + { + "epoch": 0.57, + "learning_rate": 4.075391647179804e-06, + "loss": 0.7923, + "step": 8413 + }, + { + "epoch": 0.57, + "learning_rate": 4.074308823668903e-06, + "loss": 0.784, + "step": 8414 + }, + { + "epoch": 0.57, + "learning_rate": 4.073226045112225e-06, + "loss": 0.6248, + "step": 8415 + }, + { + "epoch": 0.57, + "learning_rate": 4.072143311562354e-06, + "loss": 0.6707, + "step": 8416 + }, + { + "epoch": 0.57, + "learning_rate": 4.071060623071869e-06, + "loss": 1.0021, + "step": 8417 + }, + { + "epoch": 0.57, + "learning_rate": 4.069977979693347e-06, + "loss": 0.8485, + "step": 8418 + }, + { + "epoch": 0.57, + "learning_rate": 4.068895381479369e-06, + "loss": 0.6045, + "step": 8419 + }, + { + "epoch": 0.57, + "learning_rate": 4.0678128284825045e-06, + "loss": 0.7557, + "step": 8420 + }, + { + "epoch": 0.57, + "learning_rate": 4.066730320755327e-06, + "loss": 0.6753, + "step": 8421 + }, + { + "epoch": 0.57, + "learning_rate": 4.065647858350408e-06, + "loss": 0.6796, + "step": 8422 + }, + { + "epoch": 0.57, + "learning_rate": 4.064565441320313e-06, + "loss": 0.7302, + "step": 8423 + }, + { + "epoch": 0.57, + "learning_rate": 4.063483069717604e-06, + "loss": 0.6377, + "step": 8424 + }, + { + "epoch": 0.57, + "learning_rate": 4.06240074359485e-06, + "loss": 1.01, + "step": 8425 + }, + { + "epoch": 0.57, + "learning_rate": 4.0613184630046105e-06, + "loss": 0.915, + "step": 8426 + }, + { + "epoch": 0.57, + "learning_rate": 4.060236227999441e-06, + "loss": 0.5714, + "step": 8427 + }, + { + "epoch": 0.57, + "learning_rate": 4.0591540386319005e-06, + "loss": 0.7384, + "step": 8428 + }, + { + "epoch": 0.57, + "learning_rate": 4.058071894954544e-06, + "loss": 0.7162, + "step": 8429 + }, + { + "epoch": 0.57, + "learning_rate": 4.056989797019921e-06, + "loss": 0.9418, + "step": 8430 + }, + { + "epoch": 0.57, + "learning_rate": 4.055907744880583e-06, + "loss": 0.7312, + "step": 8431 + }, + { + "epoch": 0.57, + "learning_rate": 4.054825738589078e-06, + "loss": 0.8779, + "step": 8432 + }, + { + "epoch": 0.57, + "learning_rate": 4.053743778197951e-06, + "loss": 0.7316, + "step": 8433 + }, + { + "epoch": 0.57, + "learning_rate": 4.052661863759742e-06, + "loss": 0.8379, + "step": 8434 + }, + { + "epoch": 0.57, + "learning_rate": 4.051579995326995e-06, + "loss": 0.8508, + "step": 8435 + }, + { + "epoch": 0.57, + "learning_rate": 4.05049817295225e-06, + "loss": 0.9134, + "step": 8436 + }, + { + "epoch": 0.57, + "learning_rate": 4.049416396688039e-06, + "loss": 0.7104, + "step": 8437 + }, + { + "epoch": 0.57, + "learning_rate": 4.0483346665869e-06, + "loss": 0.8824, + "step": 8438 + }, + { + "epoch": 0.57, + "learning_rate": 4.047252982701364e-06, + "loss": 0.9201, + "step": 8439 + }, + { + "epoch": 0.57, + "learning_rate": 4.046171345083959e-06, + "loss": 0.57, + "step": 8440 + }, + { + "epoch": 0.57, + "learning_rate": 4.045089753787214e-06, + "loss": 0.6513, + "step": 8441 + }, + { + "epoch": 0.57, + "learning_rate": 4.044008208863655e-06, + "loss": 0.6319, + "step": 8442 + }, + { + "epoch": 0.57, + "learning_rate": 4.042926710365802e-06, + "loss": 0.7298, + "step": 8443 + }, + { + "epoch": 0.57, + "learning_rate": 4.041845258346179e-06, + "loss": 0.7081, + "step": 8444 + }, + { + "epoch": 0.57, + "learning_rate": 4.0407638528573025e-06, + "loss": 0.8585, + "step": 8445 + }, + { + "epoch": 0.57, + "learning_rate": 4.039682493951687e-06, + "loss": 0.8534, + "step": 8446 + }, + { + "epoch": 0.57, + "learning_rate": 4.038601181681851e-06, + "loss": 0.7708, + "step": 8447 + }, + { + "epoch": 0.57, + "learning_rate": 4.037519916100303e-06, + "loss": 0.9103, + "step": 8448 + }, + { + "epoch": 0.57, + "learning_rate": 4.036438697259551e-06, + "loss": 0.6293, + "step": 8449 + }, + { + "epoch": 0.57, + "learning_rate": 4.035357525212107e-06, + "loss": 0.65, + "step": 8450 + }, + { + "epoch": 0.57, + "learning_rate": 4.0342764000104715e-06, + "loss": 0.7027, + "step": 8451 + }, + { + "epoch": 0.58, + "learning_rate": 4.033195321707148e-06, + "loss": 0.7636, + "step": 8452 + }, + { + "epoch": 0.58, + "learning_rate": 4.0321142903546365e-06, + "loss": 0.4413, + "step": 8453 + }, + { + "epoch": 0.58, + "learning_rate": 4.0310333060054375e-06, + "loss": 0.6129, + "step": 8454 + }, + { + "epoch": 0.58, + "learning_rate": 4.029952368712044e-06, + "loss": 0.7877, + "step": 8455 + }, + { + "epoch": 0.58, + "learning_rate": 4.028871478526949e-06, + "loss": 0.5538, + "step": 8456 + }, + { + "epoch": 0.58, + "learning_rate": 4.027790635502646e-06, + "loss": 0.6372, + "step": 8457 + }, + { + "epoch": 0.58, + "learning_rate": 4.026709839691623e-06, + "loss": 0.8935, + "step": 8458 + }, + { + "epoch": 0.58, + "learning_rate": 4.0256290911463646e-06, + "loss": 0.8493, + "step": 8459 + }, + { + "epoch": 0.58, + "learning_rate": 4.02454838991936e-06, + "loss": 0.7359, + "step": 8460 + }, + { + "epoch": 0.58, + "learning_rate": 4.0234677360630865e-06, + "loss": 0.6786, + "step": 8461 + }, + { + "epoch": 0.58, + "learning_rate": 4.022387129630023e-06, + "loss": 0.5765, + "step": 8462 + }, + { + "epoch": 0.58, + "learning_rate": 4.021306570672651e-06, + "loss": 0.8637, + "step": 8463 + }, + { + "epoch": 0.58, + "learning_rate": 4.020226059243444e-06, + "loss": 0.8453, + "step": 8464 + }, + { + "epoch": 0.58, + "learning_rate": 4.019145595394871e-06, + "loss": 0.7669, + "step": 8465 + }, + { + "epoch": 0.58, + "learning_rate": 4.018065179179409e-06, + "loss": 0.858, + "step": 8466 + }, + { + "epoch": 0.58, + "learning_rate": 4.016984810649522e-06, + "loss": 0.8982, + "step": 8467 + }, + { + "epoch": 0.58, + "learning_rate": 4.015904489857676e-06, + "loss": 0.7505, + "step": 8468 + }, + { + "epoch": 0.58, + "learning_rate": 4.014824216856336e-06, + "loss": 0.6673, + "step": 8469 + }, + { + "epoch": 0.58, + "learning_rate": 4.013743991697963e-06, + "loss": 0.747, + "step": 8470 + }, + { + "epoch": 0.58, + "learning_rate": 4.012663814435014e-06, + "loss": 0.7483, + "step": 8471 + }, + { + "epoch": 0.58, + "learning_rate": 4.011583685119946e-06, + "loss": 0.945, + "step": 8472 + }, + { + "epoch": 0.58, + "learning_rate": 4.010503603805214e-06, + "loss": 0.6445, + "step": 8473 + }, + { + "epoch": 0.58, + "learning_rate": 4.009423570543271e-06, + "loss": 0.7608, + "step": 8474 + }, + { + "epoch": 0.58, + "learning_rate": 4.008343585386562e-06, + "loss": 0.7915, + "step": 8475 + }, + { + "epoch": 0.58, + "learning_rate": 4.0072636483875404e-06, + "loss": 0.8805, + "step": 8476 + }, + { + "epoch": 0.58, + "learning_rate": 4.006183759598648e-06, + "loss": 0.7305, + "step": 8477 + }, + { + "epoch": 0.58, + "learning_rate": 4.005103919072325e-06, + "loss": 0.6885, + "step": 8478 + }, + { + "epoch": 0.58, + "learning_rate": 4.004024126861016e-06, + "loss": 0.5725, + "step": 8479 + }, + { + "epoch": 0.58, + "learning_rate": 4.002944383017156e-06, + "loss": 0.5597, + "step": 8480 + }, + { + "epoch": 0.58, + "learning_rate": 4.00186468759318e-06, + "loss": 0.9685, + "step": 8481 + }, + { + "epoch": 0.58, + "learning_rate": 4.000785040641524e-06, + "loss": 0.6216, + "step": 8482 + }, + { + "epoch": 0.58, + "learning_rate": 3.999705442214616e-06, + "loss": 0.8913, + "step": 8483 + }, + { + "epoch": 0.58, + "learning_rate": 3.9986258923648845e-06, + "loss": 0.7071, + "step": 8484 + }, + { + "epoch": 0.58, + "learning_rate": 3.9975463911447585e-06, + "loss": 0.6147, + "step": 8485 + }, + { + "epoch": 0.58, + "learning_rate": 3.996466938606659e-06, + "loss": 0.5955, + "step": 8486 + }, + { + "epoch": 0.58, + "learning_rate": 3.995387534803006e-06, + "loss": 0.5698, + "step": 8487 + }, + { + "epoch": 0.58, + "learning_rate": 3.994308179786223e-06, + "loss": 0.5489, + "step": 8488 + }, + { + "epoch": 0.58, + "learning_rate": 3.993228873608724e-06, + "loss": 0.527, + "step": 8489 + }, + { + "epoch": 0.58, + "learning_rate": 3.992149616322923e-06, + "loss": 0.7528, + "step": 8490 + }, + { + "epoch": 0.58, + "learning_rate": 3.991070407981229e-06, + "loss": 0.7108, + "step": 8491 + }, + { + "epoch": 0.58, + "learning_rate": 3.989991248636058e-06, + "loss": 0.5951, + "step": 8492 + }, + { + "epoch": 0.58, + "learning_rate": 3.988912138339812e-06, + "loss": 0.5965, + "step": 8493 + }, + { + "epoch": 0.58, + "learning_rate": 3.987833077144896e-06, + "loss": 0.7409, + "step": 8494 + }, + { + "epoch": 0.58, + "learning_rate": 3.986754065103715e-06, + "loss": 0.7298, + "step": 8495 + }, + { + "epoch": 0.58, + "learning_rate": 3.985675102268668e-06, + "loss": 0.688, + "step": 8496 + }, + { + "epoch": 0.58, + "learning_rate": 3.98459618869215e-06, + "loss": 0.9679, + "step": 8497 + }, + { + "epoch": 0.58, + "learning_rate": 3.9835173244265605e-06, + "loss": 0.8959, + "step": 8498 + }, + { + "epoch": 0.58, + "learning_rate": 3.98243850952429e-06, + "loss": 0.536, + "step": 8499 + }, + { + "epoch": 0.58, + "learning_rate": 3.981359744037726e-06, + "loss": 0.64, + "step": 8500 + }, + { + "epoch": 0.58, + "learning_rate": 3.980281028019261e-06, + "loss": 0.9259, + "step": 8501 + }, + { + "epoch": 0.58, + "learning_rate": 3.97920236152128e-06, + "loss": 0.6417, + "step": 8502 + }, + { + "epoch": 0.58, + "learning_rate": 3.978123744596162e-06, + "loss": 1.0418, + "step": 8503 + }, + { + "epoch": 0.58, + "learning_rate": 3.977045177296291e-06, + "loss": 0.5818, + "step": 8504 + }, + { + "epoch": 0.58, + "learning_rate": 3.975966659674048e-06, + "loss": 0.5336, + "step": 8505 + }, + { + "epoch": 0.58, + "learning_rate": 3.974888191781803e-06, + "loss": 0.6824, + "step": 8506 + }, + { + "epoch": 0.58, + "learning_rate": 3.973809773671933e-06, + "loss": 0.763, + "step": 8507 + }, + { + "epoch": 0.58, + "learning_rate": 3.972731405396809e-06, + "loss": 0.5436, + "step": 8508 + }, + { + "epoch": 0.58, + "learning_rate": 3.9716530870088e-06, + "loss": 0.6721, + "step": 8509 + }, + { + "epoch": 0.58, + "learning_rate": 3.970574818560269e-06, + "loss": 0.6858, + "step": 8510 + }, + { + "epoch": 0.58, + "learning_rate": 3.969496600103583e-06, + "loss": 0.7016, + "step": 8511 + }, + { + "epoch": 0.58, + "learning_rate": 3.968418431691105e-06, + "loss": 0.3888, + "step": 8512 + }, + { + "epoch": 0.58, + "learning_rate": 3.9673403133751874e-06, + "loss": 0.7977, + "step": 8513 + }, + { + "epoch": 0.58, + "learning_rate": 3.966262245208193e-06, + "loss": 0.6491, + "step": 8514 + }, + { + "epoch": 0.58, + "learning_rate": 3.9651842272424744e-06, + "loss": 0.8695, + "step": 8515 + }, + { + "epoch": 0.58, + "learning_rate": 3.9641062595303805e-06, + "loss": 0.776, + "step": 8516 + }, + { + "epoch": 0.58, + "learning_rate": 3.9630283421242645e-06, + "loss": 0.9751, + "step": 8517 + }, + { + "epoch": 0.58, + "learning_rate": 3.9619504750764705e-06, + "loss": 0.5366, + "step": 8518 + }, + { + "epoch": 0.58, + "learning_rate": 3.960872658439343e-06, + "loss": 0.7613, + "step": 8519 + }, + { + "epoch": 0.58, + "learning_rate": 3.959794892265226e-06, + "loss": 0.5432, + "step": 8520 + }, + { + "epoch": 0.58, + "learning_rate": 3.958717176606456e-06, + "loss": 0.7493, + "step": 8521 + }, + { + "epoch": 0.58, + "learning_rate": 3.95763951151537e-06, + "loss": 0.7826, + "step": 8522 + }, + { + "epoch": 0.58, + "learning_rate": 3.956561897044306e-06, + "loss": 0.9185, + "step": 8523 + }, + { + "epoch": 0.58, + "learning_rate": 3.955484333245594e-06, + "loss": 0.9491, + "step": 8524 + }, + { + "epoch": 0.58, + "learning_rate": 3.954406820171564e-06, + "loss": 0.7149, + "step": 8525 + }, + { + "epoch": 0.58, + "learning_rate": 3.95332935787454e-06, + "loss": 0.7044, + "step": 8526 + }, + { + "epoch": 0.58, + "learning_rate": 3.952251946406852e-06, + "loss": 0.9172, + "step": 8527 + }, + { + "epoch": 0.58, + "learning_rate": 3.951174585820818e-06, + "loss": 0.7875, + "step": 8528 + }, + { + "epoch": 0.58, + "learning_rate": 3.950097276168758e-06, + "loss": 0.7473, + "step": 8529 + }, + { + "epoch": 0.58, + "learning_rate": 3.949020017502993e-06, + "loss": 0.7401, + "step": 8530 + }, + { + "epoch": 0.58, + "learning_rate": 3.947942809875834e-06, + "loss": 0.7924, + "step": 8531 + }, + { + "epoch": 0.58, + "learning_rate": 3.946865653339594e-06, + "loss": 0.6121, + "step": 8532 + }, + { + "epoch": 0.58, + "learning_rate": 3.945788547946584e-06, + "loss": 0.5746, + "step": 8533 + }, + { + "epoch": 0.58, + "learning_rate": 3.944711493749111e-06, + "loss": 0.7751, + "step": 8534 + }, + { + "epoch": 0.58, + "learning_rate": 3.943634490799478e-06, + "loss": 0.7226, + "step": 8535 + }, + { + "epoch": 0.58, + "learning_rate": 3.942557539149991e-06, + "loss": 0.8263, + "step": 8536 + }, + { + "epoch": 0.58, + "learning_rate": 3.941480638852948e-06, + "loss": 0.9107, + "step": 8537 + }, + { + "epoch": 0.58, + "learning_rate": 3.9404037899606434e-06, + "loss": 0.7451, + "step": 8538 + }, + { + "epoch": 0.58, + "learning_rate": 3.939326992525377e-06, + "loss": 0.801, + "step": 8539 + }, + { + "epoch": 0.58, + "learning_rate": 3.938250246599439e-06, + "loss": 0.5153, + "step": 8540 + }, + { + "epoch": 0.58, + "learning_rate": 3.937173552235117e-06, + "loss": 0.9094, + "step": 8541 + }, + { + "epoch": 0.58, + "learning_rate": 3.936096909484702e-06, + "loss": 0.5589, + "step": 8542 + }, + { + "epoch": 0.58, + "learning_rate": 3.935020318400478e-06, + "loss": 0.5186, + "step": 8543 + }, + { + "epoch": 0.58, + "learning_rate": 3.933943779034727e-06, + "loss": 0.9441, + "step": 8544 + }, + { + "epoch": 0.58, + "learning_rate": 3.932867291439726e-06, + "loss": 0.8461, + "step": 8545 + }, + { + "epoch": 0.58, + "learning_rate": 3.931790855667759e-06, + "loss": 0.8176, + "step": 8546 + }, + { + "epoch": 0.58, + "learning_rate": 3.930714471771096e-06, + "loss": 0.8648, + "step": 8547 + }, + { + "epoch": 0.58, + "learning_rate": 3.929638139802007e-06, + "loss": 0.6601, + "step": 8548 + }, + { + "epoch": 0.58, + "learning_rate": 3.928561859812767e-06, + "loss": 0.6215, + "step": 8549 + }, + { + "epoch": 0.58, + "learning_rate": 3.927485631855642e-06, + "loss": 0.8354, + "step": 8550 + }, + { + "epoch": 0.58, + "learning_rate": 3.926409455982894e-06, + "loss": 0.4471, + "step": 8551 + }, + { + "epoch": 0.58, + "learning_rate": 3.925333332246787e-06, + "loss": 0.7358, + "step": 8552 + }, + { + "epoch": 0.58, + "learning_rate": 3.924257260699583e-06, + "loss": 0.7609, + "step": 8553 + }, + { + "epoch": 0.58, + "learning_rate": 3.923181241393534e-06, + "loss": 0.5732, + "step": 8554 + }, + { + "epoch": 0.58, + "learning_rate": 3.9221052743809e-06, + "loss": 0.6654, + "step": 8555 + }, + { + "epoch": 0.58, + "learning_rate": 3.921029359713929e-06, + "loss": 0.742, + "step": 8556 + }, + { + "epoch": 0.58, + "learning_rate": 3.919953497444872e-06, + "loss": 0.7433, + "step": 8557 + }, + { + "epoch": 0.58, + "learning_rate": 3.918877687625977e-06, + "loss": 0.7201, + "step": 8558 + }, + { + "epoch": 0.58, + "learning_rate": 3.917801930309486e-06, + "loss": 0.691, + "step": 8559 + }, + { + "epoch": 0.58, + "learning_rate": 3.916726225547642e-06, + "loss": 0.691, + "step": 8560 + }, + { + "epoch": 0.58, + "learning_rate": 3.915650573392687e-06, + "loss": 0.7118, + "step": 8561 + }, + { + "epoch": 0.58, + "learning_rate": 3.914574973896853e-06, + "loss": 0.9259, + "step": 8562 + }, + { + "epoch": 0.58, + "learning_rate": 3.913499427112378e-06, + "loss": 1.054, + "step": 8563 + }, + { + "epoch": 0.58, + "learning_rate": 3.91242393309149e-06, + "loss": 0.7728, + "step": 8564 + }, + { + "epoch": 0.58, + "learning_rate": 3.911348491886423e-06, + "loss": 0.7832, + "step": 8565 + }, + { + "epoch": 0.58, + "learning_rate": 3.910273103549399e-06, + "loss": 0.7963, + "step": 8566 + }, + { + "epoch": 0.58, + "learning_rate": 3.909197768132643e-06, + "loss": 0.9768, + "step": 8567 + }, + { + "epoch": 0.58, + "learning_rate": 3.908122485688379e-06, + "loss": 0.5606, + "step": 8568 + }, + { + "epoch": 0.58, + "learning_rate": 3.907047256268822e-06, + "loss": 0.5181, + "step": 8569 + }, + { + "epoch": 0.58, + "learning_rate": 3.90597207992619e-06, + "loss": 0.7295, + "step": 8570 + }, + { + "epoch": 0.58, + "learning_rate": 3.904896956712699e-06, + "loss": 0.9962, + "step": 8571 + }, + { + "epoch": 0.58, + "learning_rate": 3.903821886680557e-06, + "loss": 0.4712, + "step": 8572 + }, + { + "epoch": 0.58, + "learning_rate": 3.902746869881971e-06, + "loss": 0.6235, + "step": 8573 + }, + { + "epoch": 0.58, + "learning_rate": 3.901671906369152e-06, + "loss": 0.4235, + "step": 8574 + }, + { + "epoch": 0.58, + "learning_rate": 3.9005969961943e-06, + "loss": 0.7452, + "step": 8575 + }, + { + "epoch": 0.58, + "learning_rate": 3.899522139409615e-06, + "loss": 0.5352, + "step": 8576 + }, + { + "epoch": 0.58, + "learning_rate": 3.898447336067297e-06, + "loss": 0.8152, + "step": 8577 + }, + { + "epoch": 0.58, + "learning_rate": 3.897372586219542e-06, + "loss": 0.8911, + "step": 8578 + }, + { + "epoch": 0.58, + "learning_rate": 3.89629788991854e-06, + "loss": 0.7404, + "step": 8579 + }, + { + "epoch": 0.58, + "learning_rate": 3.895223247216484e-06, + "loss": 0.6225, + "step": 8580 + }, + { + "epoch": 0.58, + "learning_rate": 3.894148658165562e-06, + "loss": 0.9959, + "step": 8581 + }, + { + "epoch": 0.58, + "learning_rate": 3.893074122817957e-06, + "loss": 0.8587, + "step": 8582 + }, + { + "epoch": 0.58, + "learning_rate": 3.891999641225852e-06, + "loss": 0.7669, + "step": 8583 + }, + { + "epoch": 0.58, + "learning_rate": 3.890925213441429e-06, + "loss": 0.7188, + "step": 8584 + }, + { + "epoch": 0.58, + "learning_rate": 3.8898508395168645e-06, + "loss": 0.8486, + "step": 8585 + }, + { + "epoch": 0.58, + "learning_rate": 3.888776519504329e-06, + "loss": 0.7317, + "step": 8586 + }, + { + "epoch": 0.58, + "learning_rate": 3.887702253456001e-06, + "loss": 0.9584, + "step": 8587 + }, + { + "epoch": 0.58, + "learning_rate": 3.8866280414240465e-06, + "loss": 0.4556, + "step": 8588 + }, + { + "epoch": 0.58, + "learning_rate": 3.885553883460631e-06, + "loss": 0.8572, + "step": 8589 + }, + { + "epoch": 0.58, + "learning_rate": 3.884479779617923e-06, + "loss": 0.9045, + "step": 8590 + }, + { + "epoch": 0.58, + "learning_rate": 3.883405729948081e-06, + "loss": 0.8224, + "step": 8591 + }, + { + "epoch": 0.58, + "learning_rate": 3.882331734503263e-06, + "loss": 0.7873, + "step": 8592 + }, + { + "epoch": 0.58, + "learning_rate": 3.8812577933356284e-06, + "loss": 0.8426, + "step": 8593 + }, + { + "epoch": 0.58, + "learning_rate": 3.880183906497329e-06, + "loss": 0.8359, + "step": 8594 + }, + { + "epoch": 0.58, + "learning_rate": 3.879110074040515e-06, + "loss": 0.7598, + "step": 8595 + }, + { + "epoch": 0.58, + "learning_rate": 3.878036296017337e-06, + "loss": 0.6506, + "step": 8596 + }, + { + "epoch": 0.58, + "learning_rate": 3.8769625724799395e-06, + "loss": 0.7047, + "step": 8597 + }, + { + "epoch": 0.58, + "learning_rate": 3.875888903480465e-06, + "loss": 0.8372, + "step": 8598 + }, + { + "epoch": 0.59, + "learning_rate": 3.874815289071056e-06, + "loss": 0.7817, + "step": 8599 + }, + { + "epoch": 0.59, + "learning_rate": 3.8737417293038484e-06, + "loss": 0.8654, + "step": 8600 + }, + { + "epoch": 0.59, + "learning_rate": 3.872668224230979e-06, + "loss": 0.6413, + "step": 8601 + }, + { + "epoch": 0.59, + "learning_rate": 3.871594773904578e-06, + "loss": 0.6978, + "step": 8602 + }, + { + "epoch": 0.59, + "learning_rate": 3.870521378376777e-06, + "loss": 0.8797, + "step": 8603 + }, + { + "epoch": 0.59, + "learning_rate": 3.869448037699702e-06, + "loss": 0.9398, + "step": 8604 + }, + { + "epoch": 0.59, + "learning_rate": 3.868374751925478e-06, + "loss": 0.8936, + "step": 8605 + }, + { + "epoch": 0.59, + "learning_rate": 3.867301521106229e-06, + "loss": 0.9044, + "step": 8606 + }, + { + "epoch": 0.59, + "learning_rate": 3.8662283452940705e-06, + "loss": 0.6016, + "step": 8607 + }, + { + "epoch": 0.59, + "learning_rate": 3.8651552245411194e-06, + "loss": 0.5512, + "step": 8608 + }, + { + "epoch": 0.59, + "learning_rate": 3.864082158899494e-06, + "loss": 0.857, + "step": 8609 + }, + { + "epoch": 0.59, + "learning_rate": 3.8630091484213e-06, + "loss": 0.6138, + "step": 8610 + }, + { + "epoch": 0.59, + "learning_rate": 3.861936193158647e-06, + "loss": 0.5966, + "step": 8611 + }, + { + "epoch": 0.59, + "learning_rate": 3.860863293163645e-06, + "loss": 0.5373, + "step": 8612 + }, + { + "epoch": 0.59, + "learning_rate": 3.859790448488394e-06, + "loss": 0.7881, + "step": 8613 + }, + { + "epoch": 0.59, + "learning_rate": 3.858717659184992e-06, + "loss": 0.8131, + "step": 8614 + }, + { + "epoch": 0.59, + "learning_rate": 3.8576449253055395e-06, + "loss": 0.8404, + "step": 8615 + }, + { + "epoch": 0.59, + "learning_rate": 3.856572246902133e-06, + "loss": 0.8389, + "step": 8616 + }, + { + "epoch": 0.59, + "learning_rate": 3.855499624026861e-06, + "loss": 0.6652, + "step": 8617 + }, + { + "epoch": 0.59, + "learning_rate": 3.854427056731817e-06, + "loss": 0.7337, + "step": 8618 + }, + { + "epoch": 0.59, + "learning_rate": 3.853354545069086e-06, + "loss": 0.7269, + "step": 8619 + }, + { + "epoch": 0.59, + "learning_rate": 3.852282089090751e-06, + "loss": 0.7945, + "step": 8620 + }, + { + "epoch": 0.59, + "learning_rate": 3.851209688848895e-06, + "loss": 0.7746, + "step": 8621 + }, + { + "epoch": 0.59, + "learning_rate": 3.850137344395598e-06, + "loss": 0.6233, + "step": 8622 + }, + { + "epoch": 0.59, + "learning_rate": 3.8490650557829355e-06, + "loss": 0.6513, + "step": 8623 + }, + { + "epoch": 0.59, + "learning_rate": 3.847992823062978e-06, + "loss": 0.618, + "step": 8624 + }, + { + "epoch": 0.59, + "learning_rate": 3.8469206462878e-06, + "loss": 0.7734, + "step": 8625 + }, + { + "epoch": 0.59, + "learning_rate": 3.845848525509468e-06, + "loss": 0.8461, + "step": 8626 + }, + { + "epoch": 0.59, + "learning_rate": 3.844776460780047e-06, + "loss": 0.812, + "step": 8627 + }, + { + "epoch": 0.59, + "learning_rate": 3.843704452151598e-06, + "loss": 0.7175, + "step": 8628 + }, + { + "epoch": 0.59, + "learning_rate": 3.842632499676186e-06, + "loss": 0.7648, + "step": 8629 + }, + { + "epoch": 0.59, + "learning_rate": 3.841560603405862e-06, + "loss": 0.6943, + "step": 8630 + }, + { + "epoch": 0.59, + "learning_rate": 3.840488763392685e-06, + "loss": 0.8086, + "step": 8631 + }, + { + "epoch": 0.59, + "learning_rate": 3.839416979688705e-06, + "loss": 0.6685, + "step": 8632 + }, + { + "epoch": 0.59, + "learning_rate": 3.838345252345968e-06, + "loss": 0.5896, + "step": 8633 + }, + { + "epoch": 0.59, + "learning_rate": 3.8372735814165245e-06, + "loss": 0.8583, + "step": 8634 + }, + { + "epoch": 0.59, + "learning_rate": 3.836201966952416e-06, + "loss": 0.7322, + "step": 8635 + }, + { + "epoch": 0.59, + "learning_rate": 3.835130409005682e-06, + "loss": 0.797, + "step": 8636 + }, + { + "epoch": 0.59, + "learning_rate": 3.834058907628365e-06, + "loss": 0.5387, + "step": 8637 + }, + { + "epoch": 0.59, + "learning_rate": 3.832987462872495e-06, + "loss": 0.7348, + "step": 8638 + }, + { + "epoch": 0.59, + "learning_rate": 3.8319160747901074e-06, + "loss": 0.6043, + "step": 8639 + }, + { + "epoch": 0.59, + "learning_rate": 3.8308447434332286e-06, + "loss": 0.6986, + "step": 8640 + }, + { + "epoch": 0.59, + "learning_rate": 3.82977346885389e-06, + "loss": 0.9305, + "step": 8641 + }, + { + "epoch": 0.59, + "learning_rate": 3.828702251104113e-06, + "loss": 0.8359, + "step": 8642 + }, + { + "epoch": 0.59, + "learning_rate": 3.8276310902359185e-06, + "loss": 0.6088, + "step": 8643 + }, + { + "epoch": 0.59, + "learning_rate": 3.826559986301328e-06, + "loss": 0.7263, + "step": 8644 + }, + { + "epoch": 0.59, + "learning_rate": 3.825488939352355e-06, + "loss": 0.7875, + "step": 8645 + }, + { + "epoch": 0.59, + "learning_rate": 3.824417949441012e-06, + "loss": 1.0138, + "step": 8646 + }, + { + "epoch": 0.59, + "learning_rate": 3.823347016619313e-06, + "loss": 0.7905, + "step": 8647 + }, + { + "epoch": 0.59, + "learning_rate": 3.822276140939261e-06, + "loss": 0.99, + "step": 8648 + }, + { + "epoch": 0.59, + "learning_rate": 3.821205322452863e-06, + "loss": 0.5903, + "step": 8649 + }, + { + "epoch": 0.59, + "learning_rate": 3.820134561212123e-06, + "loss": 0.5124, + "step": 8650 + }, + { + "epoch": 0.59, + "learning_rate": 3.819063857269039e-06, + "loss": 0.6807, + "step": 8651 + }, + { + "epoch": 0.59, + "learning_rate": 3.817993210675603e-06, + "loss": 0.6962, + "step": 8652 + }, + { + "epoch": 0.59, + "learning_rate": 3.816922621483815e-06, + "loss": 0.7099, + "step": 8653 + }, + { + "epoch": 0.59, + "learning_rate": 3.815852089745663e-06, + "loss": 0.6777, + "step": 8654 + }, + { + "epoch": 0.59, + "learning_rate": 3.8147816155131345e-06, + "loss": 0.8661, + "step": 8655 + }, + { + "epoch": 0.59, + "learning_rate": 3.813711198838215e-06, + "loss": 0.6166, + "step": 8656 + }, + { + "epoch": 0.59, + "learning_rate": 3.8126408397728898e-06, + "loss": 0.4536, + "step": 8657 + }, + { + "epoch": 0.59, + "learning_rate": 3.8115705383691354e-06, + "loss": 0.811, + "step": 8658 + }, + { + "epoch": 0.59, + "learning_rate": 3.810500294678929e-06, + "loss": 0.5955, + "step": 8659 + }, + { + "epoch": 0.59, + "learning_rate": 3.8094301087542475e-06, + "loss": 0.7299, + "step": 8660 + }, + { + "epoch": 0.59, + "learning_rate": 3.8083599806470594e-06, + "loss": 0.6415, + "step": 8661 + }, + { + "epoch": 0.59, + "learning_rate": 3.8072899104093325e-06, + "loss": 0.5672, + "step": 8662 + }, + { + "epoch": 0.59, + "learning_rate": 3.806219898093035e-06, + "loss": 0.6032, + "step": 8663 + }, + { + "epoch": 0.59, + "learning_rate": 3.80514994375013e-06, + "loss": 0.8527, + "step": 8664 + }, + { + "epoch": 0.59, + "learning_rate": 3.804080047432574e-06, + "loss": 0.5052, + "step": 8665 + }, + { + "epoch": 0.59, + "learning_rate": 3.8030102091923276e-06, + "loss": 0.659, + "step": 8666 + }, + { + "epoch": 0.59, + "learning_rate": 3.8019404290813456e-06, + "loss": 0.6486, + "step": 8667 + }, + { + "epoch": 0.59, + "learning_rate": 3.800870707151576e-06, + "loss": 0.763, + "step": 8668 + }, + { + "epoch": 0.59, + "learning_rate": 3.7998010434549716e-06, + "loss": 0.7186, + "step": 8669 + }, + { + "epoch": 0.59, + "learning_rate": 3.7987314380434753e-06, + "loss": 0.6753, + "step": 8670 + }, + { + "epoch": 0.59, + "learning_rate": 3.7976618909690304e-06, + "loss": 0.5784, + "step": 8671 + }, + { + "epoch": 0.59, + "learning_rate": 3.7965924022835802e-06, + "loss": 0.7155, + "step": 8672 + }, + { + "epoch": 0.59, + "learning_rate": 3.7955229720390595e-06, + "loss": 0.4767, + "step": 8673 + }, + { + "epoch": 0.59, + "learning_rate": 3.7944536002874043e-06, + "loss": 0.8008, + "step": 8674 + }, + { + "epoch": 0.59, + "learning_rate": 3.7933842870805438e-06, + "loss": 0.8918, + "step": 8675 + }, + { + "epoch": 0.59, + "learning_rate": 3.7923150324704095e-06, + "loss": 0.7505, + "step": 8676 + }, + { + "epoch": 0.59, + "learning_rate": 3.791245836508928e-06, + "loss": 0.8191, + "step": 8677 + }, + { + "epoch": 0.59, + "learning_rate": 3.790176699248018e-06, + "loss": 0.5782, + "step": 8678 + }, + { + "epoch": 0.59, + "learning_rate": 3.789107620739606e-06, + "loss": 0.8511, + "step": 8679 + }, + { + "epoch": 0.59, + "learning_rate": 3.7880386010356056e-06, + "loss": 0.8275, + "step": 8680 + }, + { + "epoch": 0.59, + "learning_rate": 3.786969640187932e-06, + "loss": 0.7495, + "step": 8681 + }, + { + "epoch": 0.59, + "learning_rate": 3.7859007382484987e-06, + "loss": 1.089, + "step": 8682 + }, + { + "epoch": 0.59, + "learning_rate": 3.7848318952692124e-06, + "loss": 0.6303, + "step": 8683 + }, + { + "epoch": 0.59, + "learning_rate": 3.7837631113019797e-06, + "loss": 0.8734, + "step": 8684 + }, + { + "epoch": 0.59, + "learning_rate": 3.782694386398706e-06, + "loss": 0.9922, + "step": 8685 + }, + { + "epoch": 0.59, + "learning_rate": 3.7816257206112893e-06, + "loss": 1.037, + "step": 8686 + }, + { + "epoch": 0.59, + "learning_rate": 3.7805571139916266e-06, + "loss": 0.8223, + "step": 8687 + }, + { + "epoch": 0.59, + "learning_rate": 3.7794885665916155e-06, + "loss": 0.8315, + "step": 8688 + }, + { + "epoch": 0.59, + "learning_rate": 3.7784200784631465e-06, + "loss": 0.9134, + "step": 8689 + }, + { + "epoch": 0.59, + "learning_rate": 3.7773516496581055e-06, + "loss": 0.6632, + "step": 8690 + }, + { + "epoch": 0.59, + "learning_rate": 3.776283280228381e-06, + "loss": 0.7422, + "step": 8691 + }, + { + "epoch": 0.59, + "learning_rate": 3.7752149702258577e-06, + "loss": 0.8679, + "step": 8692 + }, + { + "epoch": 0.59, + "learning_rate": 3.7741467197024133e-06, + "loss": 0.7029, + "step": 8693 + }, + { + "epoch": 0.59, + "learning_rate": 3.773078528709925e-06, + "loss": 0.6665, + "step": 8694 + }, + { + "epoch": 0.59, + "learning_rate": 3.7720103973002698e-06, + "loss": 0.6402, + "step": 8695 + }, + { + "epoch": 0.59, + "learning_rate": 3.7709423255253157e-06, + "loss": 0.6361, + "step": 8696 + }, + { + "epoch": 0.59, + "learning_rate": 3.769874313436933e-06, + "loss": 0.8601, + "step": 8697 + }, + { + "epoch": 0.59, + "learning_rate": 3.7688063610869898e-06, + "loss": 0.7864, + "step": 8698 + }, + { + "epoch": 0.59, + "learning_rate": 3.767738468527346e-06, + "loss": 0.889, + "step": 8699 + }, + { + "epoch": 0.59, + "learning_rate": 3.7666706358098602e-06, + "loss": 0.8444, + "step": 8700 + }, + { + "epoch": 0.59, + "learning_rate": 3.7656028629863927e-06, + "loss": 0.6262, + "step": 8701 + }, + { + "epoch": 0.59, + "learning_rate": 3.764535150108798e-06, + "loss": 0.67, + "step": 8702 + }, + { + "epoch": 0.59, + "learning_rate": 3.7634674972289227e-06, + "loss": 0.8446, + "step": 8703 + }, + { + "epoch": 0.59, + "learning_rate": 3.762399904398619e-06, + "loss": 0.4516, + "step": 8704 + }, + { + "epoch": 0.59, + "learning_rate": 3.761332371669734e-06, + "loss": 0.5331, + "step": 8705 + }, + { + "epoch": 0.59, + "learning_rate": 3.7602648990941037e-06, + "loss": 0.6874, + "step": 8706 + }, + { + "epoch": 0.59, + "learning_rate": 3.759197486723574e-06, + "loss": 0.5797, + "step": 8707 + }, + { + "epoch": 0.59, + "learning_rate": 3.758130134609978e-06, + "loss": 0.863, + "step": 8708 + }, + { + "epoch": 0.59, + "learning_rate": 3.7570628428051494e-06, + "loss": 0.6378, + "step": 8709 + }, + { + "epoch": 0.59, + "learning_rate": 3.755995611360922e-06, + "loss": 0.8059, + "step": 8710 + }, + { + "epoch": 0.59, + "learning_rate": 3.75492844032912e-06, + "loss": 0.7076, + "step": 8711 + }, + { + "epoch": 0.59, + "learning_rate": 3.753861329761571e-06, + "loss": 0.8226, + "step": 8712 + }, + { + "epoch": 0.59, + "learning_rate": 3.752794279710094e-06, + "loss": 0.8981, + "step": 8713 + }, + { + "epoch": 0.59, + "learning_rate": 3.7517272902265107e-06, + "loss": 0.6848, + "step": 8714 + }, + { + "epoch": 0.59, + "learning_rate": 3.750660361362637e-06, + "loss": 0.7636, + "step": 8715 + }, + { + "epoch": 0.59, + "learning_rate": 3.7495934931702838e-06, + "loss": 0.6835, + "step": 8716 + }, + { + "epoch": 0.59, + "learning_rate": 3.7485266857012644e-06, + "loss": 0.7421, + "step": 8717 + }, + { + "epoch": 0.59, + "learning_rate": 3.7474599390073833e-06, + "loss": 0.6539, + "step": 8718 + }, + { + "epoch": 0.59, + "learning_rate": 3.746393253140445e-06, + "loss": 0.7467, + "step": 8719 + }, + { + "epoch": 0.59, + "learning_rate": 3.7453266281522537e-06, + "loss": 0.5732, + "step": 8720 + }, + { + "epoch": 0.59, + "learning_rate": 3.7442600640946045e-06, + "loss": 0.8048, + "step": 8721 + }, + { + "epoch": 0.59, + "learning_rate": 3.7431935610192936e-06, + "loss": 0.8993, + "step": 8722 + }, + { + "epoch": 0.59, + "learning_rate": 3.742127118978116e-06, + "loss": 0.7758, + "step": 8723 + }, + { + "epoch": 0.59, + "learning_rate": 3.741060738022858e-06, + "loss": 0.8029, + "step": 8724 + }, + { + "epoch": 0.59, + "learning_rate": 3.739994418205306e-06, + "loss": 0.6499, + "step": 8725 + }, + { + "epoch": 0.59, + "learning_rate": 3.738928159577247e-06, + "loss": 0.7816, + "step": 8726 + }, + { + "epoch": 0.59, + "learning_rate": 3.7378619621904593e-06, + "loss": 0.6647, + "step": 8727 + }, + { + "epoch": 0.59, + "learning_rate": 3.7367958260967187e-06, + "loss": 0.4777, + "step": 8728 + }, + { + "epoch": 0.59, + "learning_rate": 3.735729751347803e-06, + "loss": 0.6784, + "step": 8729 + }, + { + "epoch": 0.59, + "learning_rate": 3.734663737995483e-06, + "loss": 0.7253, + "step": 8730 + }, + { + "epoch": 0.59, + "learning_rate": 3.733597786091526e-06, + "loss": 0.7964, + "step": 8731 + }, + { + "epoch": 0.59, + "learning_rate": 3.7325318956876985e-06, + "loss": 0.5692, + "step": 8732 + }, + { + "epoch": 0.59, + "learning_rate": 3.731466066835765e-06, + "loss": 0.7265, + "step": 8733 + }, + { + "epoch": 0.59, + "learning_rate": 3.7304002995874824e-06, + "loss": 0.6533, + "step": 8734 + }, + { + "epoch": 0.59, + "learning_rate": 3.729334593994607e-06, + "loss": 0.8244, + "step": 8735 + }, + { + "epoch": 0.59, + "learning_rate": 3.7282689501088964e-06, + "loss": 0.878, + "step": 8736 + }, + { + "epoch": 0.59, + "learning_rate": 3.7272033679820997e-06, + "loss": 0.4956, + "step": 8737 + }, + { + "epoch": 0.59, + "learning_rate": 3.7261378476659614e-06, + "loss": 0.8039, + "step": 8738 + }, + { + "epoch": 0.59, + "learning_rate": 3.72507238921223e-06, + "loss": 0.6879, + "step": 8739 + }, + { + "epoch": 0.59, + "learning_rate": 3.7240069926726473e-06, + "loss": 0.6575, + "step": 8740 + }, + { + "epoch": 0.59, + "learning_rate": 3.722941658098948e-06, + "loss": 0.9394, + "step": 8741 + }, + { + "epoch": 0.59, + "learning_rate": 3.721876385542872e-06, + "loss": 0.7169, + "step": 8742 + }, + { + "epoch": 0.59, + "learning_rate": 3.7208111750561515e-06, + "loss": 0.619, + "step": 8743 + }, + { + "epoch": 0.59, + "learning_rate": 3.7197460266905127e-06, + "loss": 0.9502, + "step": 8744 + }, + { + "epoch": 0.59, + "learning_rate": 3.7186809404976877e-06, + "loss": 0.6309, + "step": 8745 + }, + { + "epoch": 0.6, + "learning_rate": 3.7176159165293955e-06, + "loss": 0.8764, + "step": 8746 + }, + { + "epoch": 0.6, + "learning_rate": 3.716550954837358e-06, + "loss": 0.7117, + "step": 8747 + }, + { + "epoch": 0.6, + "learning_rate": 3.715486055473295e-06, + "loss": 0.4702, + "step": 8748 + }, + { + "epoch": 0.6, + "learning_rate": 3.7144212184889185e-06, + "loss": 0.6614, + "step": 8749 + }, + { + "epoch": 0.6, + "learning_rate": 3.7133564439359417e-06, + "loss": 0.8013, + "step": 8750 + }, + { + "epoch": 0.6, + "learning_rate": 3.71229173186607e-06, + "loss": 0.6457, + "step": 8751 + }, + { + "epoch": 0.6, + "learning_rate": 3.7112270823310128e-06, + "loss": 0.9815, + "step": 8752 + }, + { + "epoch": 0.6, + "learning_rate": 3.710162495382471e-06, + "loss": 0.7644, + "step": 8753 + }, + { + "epoch": 0.6, + "learning_rate": 3.7090979710721424e-06, + "loss": 0.5916, + "step": 8754 + }, + { + "epoch": 0.6, + "learning_rate": 3.708033509451727e-06, + "loss": 0.7901, + "step": 8755 + }, + { + "epoch": 0.6, + "learning_rate": 3.7069691105729142e-06, + "loss": 0.5339, + "step": 8756 + }, + { + "epoch": 0.6, + "learning_rate": 3.705904774487396e-06, + "loss": 1.0607, + "step": 8757 + }, + { + "epoch": 0.6, + "learning_rate": 3.7048405012468613e-06, + "loss": 0.8964, + "step": 8758 + }, + { + "epoch": 0.6, + "learning_rate": 3.7037762909029915e-06, + "loss": 0.9036, + "step": 8759 + }, + { + "epoch": 0.6, + "learning_rate": 3.7027121435074683e-06, + "loss": 0.6158, + "step": 8760 + }, + { + "epoch": 0.6, + "learning_rate": 3.701648059111972e-06, + "loss": 0.8782, + "step": 8761 + }, + { + "epoch": 0.6, + "learning_rate": 3.7005840377681744e-06, + "loss": 0.8937, + "step": 8762 + }, + { + "epoch": 0.6, + "learning_rate": 3.6995200795277485e-06, + "loss": 0.8775, + "step": 8763 + }, + { + "epoch": 0.6, + "learning_rate": 3.6984561844423648e-06, + "loss": 0.7734, + "step": 8764 + }, + { + "epoch": 0.6, + "learning_rate": 3.697392352563689e-06, + "loss": 0.9013, + "step": 8765 + }, + { + "epoch": 0.6, + "learning_rate": 3.6963285839433805e-06, + "loss": 0.4663, + "step": 8766 + }, + { + "epoch": 0.6, + "learning_rate": 3.6952648786331015e-06, + "loss": 0.6908, + "step": 8767 + }, + { + "epoch": 0.6, + "learning_rate": 3.6942012366845097e-06, + "loss": 0.7925, + "step": 8768 + }, + { + "epoch": 0.6, + "learning_rate": 3.6931376581492564e-06, + "loss": 0.528, + "step": 8769 + }, + { + "epoch": 0.6, + "learning_rate": 3.692074143078991e-06, + "loss": 0.8276, + "step": 8770 + }, + { + "epoch": 0.6, + "learning_rate": 3.6910106915253652e-06, + "loss": 0.6579, + "step": 8771 + }, + { + "epoch": 0.6, + "learning_rate": 3.6899473035400197e-06, + "loss": 0.8098, + "step": 8772 + }, + { + "epoch": 0.6, + "learning_rate": 3.6888839791745955e-06, + "loss": 0.8039, + "step": 8773 + }, + { + "epoch": 0.6, + "learning_rate": 3.687820718480734e-06, + "loss": 0.5788, + "step": 8774 + }, + { + "epoch": 0.6, + "learning_rate": 3.686757521510068e-06, + "loss": 0.7037, + "step": 8775 + }, + { + "epoch": 0.6, + "learning_rate": 3.6856943883142277e-06, + "loss": 0.8517, + "step": 8776 + }, + { + "epoch": 0.6, + "learning_rate": 3.6846313189448447e-06, + "loss": 0.894, + "step": 8777 + }, + { + "epoch": 0.6, + "learning_rate": 3.6835683134535437e-06, + "loss": 0.6067, + "step": 8778 + }, + { + "epoch": 0.6, + "learning_rate": 3.682505371891947e-06, + "loss": 0.6427, + "step": 8779 + }, + { + "epoch": 0.6, + "learning_rate": 3.681442494311674e-06, + "loss": 0.9692, + "step": 8780 + }, + { + "epoch": 0.6, + "learning_rate": 3.6803796807643426e-06, + "loss": 0.7719, + "step": 8781 + }, + { + "epoch": 0.6, + "learning_rate": 3.679316931301563e-06, + "loss": 0.6518, + "step": 8782 + }, + { + "epoch": 0.6, + "learning_rate": 3.6782542459749493e-06, + "loss": 0.912, + "step": 8783 + }, + { + "epoch": 0.6, + "learning_rate": 3.677191624836106e-06, + "loss": 0.8297, + "step": 8784 + }, + { + "epoch": 0.6, + "learning_rate": 3.6761290679366384e-06, + "loss": 0.779, + "step": 8785 + }, + { + "epoch": 0.6, + "learning_rate": 3.6750665753281445e-06, + "loss": 0.5707, + "step": 8786 + }, + { + "epoch": 0.6, + "learning_rate": 3.6740041470622245e-06, + "loss": 0.595, + "step": 8787 + }, + { + "epoch": 0.6, + "learning_rate": 3.672941783190474e-06, + "loss": 0.6786, + "step": 8788 + }, + { + "epoch": 0.6, + "learning_rate": 3.6718794837644813e-06, + "loss": 0.6966, + "step": 8789 + }, + { + "epoch": 0.6, + "learning_rate": 3.6708172488358364e-06, + "loss": 0.6419, + "step": 8790 + }, + { + "epoch": 0.6, + "learning_rate": 3.6697550784561254e-06, + "loss": 0.7651, + "step": 8791 + }, + { + "epoch": 0.6, + "learning_rate": 3.6686929726769284e-06, + "loss": 0.6711, + "step": 8792 + }, + { + "epoch": 0.6, + "learning_rate": 3.667630931549826e-06, + "loss": 1.1181, + "step": 8793 + }, + { + "epoch": 0.6, + "learning_rate": 3.666568955126393e-06, + "loss": 0.7072, + "step": 8794 + }, + { + "epoch": 0.6, + "learning_rate": 3.665507043458201e-06, + "loss": 0.745, + "step": 8795 + }, + { + "epoch": 0.6, + "learning_rate": 3.664445196596823e-06, + "loss": 0.7373, + "step": 8796 + }, + { + "epoch": 0.6, + "learning_rate": 3.663383414593822e-06, + "loss": 0.7193, + "step": 8797 + }, + { + "epoch": 0.6, + "learning_rate": 3.6623216975007603e-06, + "loss": 0.8184, + "step": 8798 + }, + { + "epoch": 0.6, + "learning_rate": 3.661260045369203e-06, + "loss": 0.5635, + "step": 8799 + }, + { + "epoch": 0.6, + "learning_rate": 3.660198458250702e-06, + "loss": 0.5336, + "step": 8800 + }, + { + "epoch": 0.6, + "learning_rate": 3.6591369361968127e-06, + "loss": 0.9108, + "step": 8801 + }, + { + "epoch": 0.6, + "learning_rate": 3.6580754792590877e-06, + "loss": 0.9651, + "step": 8802 + }, + { + "epoch": 0.6, + "learning_rate": 3.6570140874890724e-06, + "loss": 1.0459, + "step": 8803 + }, + { + "epoch": 0.6, + "learning_rate": 3.6559527609383096e-06, + "loss": 0.769, + "step": 8804 + }, + { + "epoch": 0.6, + "learning_rate": 3.6548914996583417e-06, + "loss": 0.6133, + "step": 8805 + }, + { + "epoch": 0.6, + "learning_rate": 3.6538303037007084e-06, + "loss": 0.6286, + "step": 8806 + }, + { + "epoch": 0.6, + "learning_rate": 3.6527691731169425e-06, + "loss": 0.7261, + "step": 8807 + }, + { + "epoch": 0.6, + "learning_rate": 3.6517081079585736e-06, + "loss": 0.6005, + "step": 8808 + }, + { + "epoch": 0.6, + "learning_rate": 3.6506471082771357e-06, + "loss": 0.5681, + "step": 8809 + }, + { + "epoch": 0.6, + "learning_rate": 3.649586174124149e-06, + "loss": 0.8173, + "step": 8810 + }, + { + "epoch": 0.6, + "learning_rate": 3.648525305551136e-06, + "loss": 0.9109, + "step": 8811 + }, + { + "epoch": 0.6, + "learning_rate": 3.647464502609619e-06, + "loss": 0.718, + "step": 8812 + }, + { + "epoch": 0.6, + "learning_rate": 3.646403765351112e-06, + "loss": 0.8009, + "step": 8813 + }, + { + "epoch": 0.6, + "learning_rate": 3.645343093827124e-06, + "loss": 0.8936, + "step": 8814 + }, + { + "epoch": 0.6, + "learning_rate": 3.644282488089168e-06, + "loss": 0.6376, + "step": 8815 + }, + { + "epoch": 0.6, + "learning_rate": 3.6432219481887504e-06, + "loss": 0.5336, + "step": 8816 + }, + { + "epoch": 0.6, + "learning_rate": 3.6421614741773702e-06, + "loss": 0.7124, + "step": 8817 + }, + { + "epoch": 0.6, + "learning_rate": 3.6411010661065318e-06, + "loss": 0.4648, + "step": 8818 + }, + { + "epoch": 0.6, + "learning_rate": 3.6400407240277295e-06, + "loss": 0.9989, + "step": 8819 + }, + { + "epoch": 0.6, + "learning_rate": 3.638980447992455e-06, + "loss": 0.7036, + "step": 8820 + }, + { + "epoch": 0.6, + "learning_rate": 3.6379202380522017e-06, + "loss": 0.4211, + "step": 8821 + }, + { + "epoch": 0.6, + "learning_rate": 3.6368600942584536e-06, + "loss": 0.5033, + "step": 8822 + }, + { + "epoch": 0.6, + "learning_rate": 3.6358000166626966e-06, + "loss": 0.8241, + "step": 8823 + }, + { + "epoch": 0.6, + "learning_rate": 3.6347400053164077e-06, + "loss": 0.6553, + "step": 8824 + }, + { + "epoch": 0.6, + "learning_rate": 3.6336800602710676e-06, + "loss": 0.6284, + "step": 8825 + }, + { + "epoch": 0.6, + "learning_rate": 3.63262018157815e-06, + "loss": 1.0109, + "step": 8826 + }, + { + "epoch": 0.6, + "learning_rate": 3.6315603692891222e-06, + "loss": 0.9042, + "step": 8827 + }, + { + "epoch": 0.6, + "learning_rate": 3.630500623455455e-06, + "loss": 0.7889, + "step": 8828 + }, + { + "epoch": 0.6, + "learning_rate": 3.6294409441286133e-06, + "loss": 0.6835, + "step": 8829 + }, + { + "epoch": 0.6, + "learning_rate": 3.6283813313600546e-06, + "loss": 0.8246, + "step": 8830 + }, + { + "epoch": 0.6, + "learning_rate": 3.627321785201241e-06, + "loss": 0.7526, + "step": 8831 + }, + { + "epoch": 0.6, + "learning_rate": 3.6262623057036238e-06, + "loss": 0.7315, + "step": 8832 + }, + { + "epoch": 0.6, + "learning_rate": 3.6252028929186546e-06, + "loss": 1.0781, + "step": 8833 + }, + { + "epoch": 0.6, + "learning_rate": 3.624143546897784e-06, + "loss": 0.7819, + "step": 8834 + }, + { + "epoch": 0.6, + "learning_rate": 3.623084267692455e-06, + "loss": 0.6855, + "step": 8835 + }, + { + "epoch": 0.6, + "learning_rate": 3.622025055354108e-06, + "loss": 0.9684, + "step": 8836 + }, + { + "epoch": 0.6, + "learning_rate": 3.6209659099341855e-06, + "loss": 0.9895, + "step": 8837 + }, + { + "epoch": 0.6, + "learning_rate": 3.619906831484119e-06, + "loss": 0.8078, + "step": 8838 + }, + { + "epoch": 0.6, + "learning_rate": 3.6188478200553403e-06, + "loss": 1.0344, + "step": 8839 + }, + { + "epoch": 0.6, + "learning_rate": 3.617788875699282e-06, + "loss": 0.6735, + "step": 8840 + }, + { + "epoch": 0.6, + "learning_rate": 3.6167299984673655e-06, + "loss": 0.7768, + "step": 8841 + }, + { + "epoch": 0.6, + "learning_rate": 3.615671188411014e-06, + "loss": 0.6964, + "step": 8842 + }, + { + "epoch": 0.6, + "learning_rate": 3.6146124455816455e-06, + "loss": 0.624, + "step": 8843 + }, + { + "epoch": 0.6, + "learning_rate": 3.6135537700306785e-06, + "loss": 0.7233, + "step": 8844 + }, + { + "epoch": 0.6, + "learning_rate": 3.6124951618095224e-06, + "loss": 0.8765, + "step": 8845 + }, + { + "epoch": 0.6, + "learning_rate": 3.611436620969586e-06, + "loss": 0.7813, + "step": 8846 + }, + { + "epoch": 0.6, + "learning_rate": 3.610378147562279e-06, + "loss": 0.8816, + "step": 8847 + }, + { + "epoch": 0.6, + "learning_rate": 3.609319741639e-06, + "loss": 0.6933, + "step": 8848 + }, + { + "epoch": 0.6, + "learning_rate": 3.6082614032511475e-06, + "loss": 0.768, + "step": 8849 + }, + { + "epoch": 0.6, + "learning_rate": 3.6072031324501234e-06, + "loss": 0.9833, + "step": 8850 + }, + { + "epoch": 0.6, + "learning_rate": 3.606144929287315e-06, + "loss": 0.8714, + "step": 8851 + }, + { + "epoch": 0.6, + "learning_rate": 3.6050867938141116e-06, + "loss": 0.6178, + "step": 8852 + }, + { + "epoch": 0.6, + "learning_rate": 3.6040287260819017e-06, + "loss": 0.7459, + "step": 8853 + }, + { + "epoch": 0.6, + "learning_rate": 3.602970726142069e-06, + "loss": 0.9577, + "step": 8854 + }, + { + "epoch": 0.6, + "learning_rate": 3.601912794045988e-06, + "loss": 0.3697, + "step": 8855 + }, + { + "epoch": 0.6, + "learning_rate": 3.6008549298450403e-06, + "loss": 0.3788, + "step": 8856 + }, + { + "epoch": 0.6, + "learning_rate": 3.5997971335905966e-06, + "loss": 0.5758, + "step": 8857 + }, + { + "epoch": 0.6, + "learning_rate": 3.5987394053340254e-06, + "loss": 0.784, + "step": 8858 + }, + { + "epoch": 0.6, + "learning_rate": 3.597681745126696e-06, + "loss": 0.9815, + "step": 8859 + }, + { + "epoch": 0.6, + "learning_rate": 3.5966241530199686e-06, + "loss": 0.6195, + "step": 8860 + }, + { + "epoch": 0.6, + "learning_rate": 3.595566629065205e-06, + "loss": 0.8532, + "step": 8861 + }, + { + "epoch": 0.6, + "learning_rate": 3.594509173313758e-06, + "loss": 0.8883, + "step": 8862 + }, + { + "epoch": 0.6, + "learning_rate": 3.593451785816985e-06, + "loss": 0.6341, + "step": 8863 + }, + { + "epoch": 0.6, + "learning_rate": 3.5923944666262358e-06, + "loss": 1.0086, + "step": 8864 + }, + { + "epoch": 0.6, + "learning_rate": 3.5913372157928515e-06, + "loss": 0.6431, + "step": 8865 + }, + { + "epoch": 0.6, + "learning_rate": 3.5902800333681807e-06, + "loss": 0.7496, + "step": 8866 + }, + { + "epoch": 0.6, + "learning_rate": 3.589222919403562e-06, + "loss": 0.9254, + "step": 8867 + }, + { + "epoch": 0.6, + "learning_rate": 3.58816587395033e-06, + "loss": 0.92, + "step": 8868 + }, + { + "epoch": 0.6, + "learning_rate": 3.5871088970598208e-06, + "loss": 0.7901, + "step": 8869 + }, + { + "epoch": 0.6, + "learning_rate": 3.5860519887833612e-06, + "loss": 0.684, + "step": 8870 + }, + { + "epoch": 0.6, + "learning_rate": 3.5849951491722777e-06, + "loss": 0.7562, + "step": 8871 + }, + { + "epoch": 0.6, + "learning_rate": 3.5839383782778973e-06, + "loss": 0.7718, + "step": 8872 + }, + { + "epoch": 0.6, + "learning_rate": 3.582881676151536e-06, + "loss": 0.6645, + "step": 8873 + }, + { + "epoch": 0.6, + "learning_rate": 3.581825042844511e-06, + "loss": 0.5784, + "step": 8874 + }, + { + "epoch": 0.6, + "learning_rate": 3.5807684784081385e-06, + "loss": 0.6509, + "step": 8875 + }, + { + "epoch": 0.6, + "learning_rate": 3.5797119828937242e-06, + "loss": 0.7097, + "step": 8876 + }, + { + "epoch": 0.6, + "learning_rate": 3.5786555563525748e-06, + "loss": 0.7685, + "step": 8877 + }, + { + "epoch": 0.6, + "learning_rate": 3.5775991988359983e-06, + "loss": 0.9681, + "step": 8878 + }, + { + "epoch": 0.6, + "learning_rate": 3.57654291039529e-06, + "loss": 0.8525, + "step": 8879 + }, + { + "epoch": 0.6, + "learning_rate": 3.5754866910817463e-06, + "loss": 0.8015, + "step": 8880 + }, + { + "epoch": 0.6, + "learning_rate": 3.574430540946661e-06, + "loss": 0.6708, + "step": 8881 + }, + { + "epoch": 0.6, + "learning_rate": 3.5733744600413247e-06, + "loss": 0.4824, + "step": 8882 + }, + { + "epoch": 0.6, + "learning_rate": 3.572318448417023e-06, + "loss": 0.5714, + "step": 8883 + }, + { + "epoch": 0.6, + "learning_rate": 3.571262506125038e-06, + "loss": 0.8883, + "step": 8884 + }, + { + "epoch": 0.6, + "learning_rate": 3.570206633216652e-06, + "loss": 0.7724, + "step": 8885 + }, + { + "epoch": 0.6, + "learning_rate": 3.5691508297431375e-06, + "loss": 0.9808, + "step": 8886 + }, + { + "epoch": 0.6, + "learning_rate": 3.56809509575577e-06, + "loss": 0.944, + "step": 8887 + }, + { + "epoch": 0.6, + "learning_rate": 3.5670394313058186e-06, + "loss": 0.8924, + "step": 8888 + }, + { + "epoch": 0.6, + "learning_rate": 3.5659838364445505e-06, + "loss": 0.4424, + "step": 8889 + }, + { + "epoch": 0.6, + "learning_rate": 3.5649283112232235e-06, + "loss": 0.5428, + "step": 8890 + }, + { + "epoch": 0.6, + "learning_rate": 3.5638728556931023e-06, + "loss": 0.8418, + "step": 8891 + }, + { + "epoch": 0.6, + "learning_rate": 3.5628174699054424e-06, + "loss": 0.7473, + "step": 8892 + }, + { + "epoch": 0.61, + "learning_rate": 3.5617621539114923e-06, + "loss": 0.6666, + "step": 8893 + }, + { + "epoch": 0.61, + "learning_rate": 3.5607069077625044e-06, + "loss": 0.7168, + "step": 8894 + }, + { + "epoch": 0.61, + "learning_rate": 3.5596517315097257e-06, + "loss": 0.8446, + "step": 8895 + }, + { + "epoch": 0.61, + "learning_rate": 3.5585966252043946e-06, + "loss": 0.6081, + "step": 8896 + }, + { + "epoch": 0.61, + "learning_rate": 3.5575415888977536e-06, + "loss": 0.6344, + "step": 8897 + }, + { + "epoch": 0.61, + "learning_rate": 3.5564866226410368e-06, + "loss": 0.7017, + "step": 8898 + }, + { + "epoch": 0.61, + "learning_rate": 3.5554317264854778e-06, + "loss": 0.8243, + "step": 8899 + }, + { + "epoch": 0.61, + "learning_rate": 3.5543769004823013e-06, + "loss": 0.7122, + "step": 8900 + }, + { + "epoch": 0.61, + "learning_rate": 3.553322144682737e-06, + "loss": 0.5671, + "step": 8901 + }, + { + "epoch": 0.61, + "learning_rate": 3.552267459138006e-06, + "loss": 0.6553, + "step": 8902 + }, + { + "epoch": 0.61, + "learning_rate": 3.551212843899324e-06, + "loss": 0.7981, + "step": 8903 + }, + { + "epoch": 0.61, + "learning_rate": 3.5501582990179105e-06, + "loss": 0.8019, + "step": 8904 + }, + { + "epoch": 0.61, + "learning_rate": 3.549103824544975e-06, + "loss": 0.7238, + "step": 8905 + }, + { + "epoch": 0.61, + "learning_rate": 3.5480494205317252e-06, + "loss": 0.8101, + "step": 8906 + }, + { + "epoch": 0.61, + "learning_rate": 3.546995087029368e-06, + "loss": 0.5831, + "step": 8907 + }, + { + "epoch": 0.61, + "learning_rate": 3.5459408240891024e-06, + "loss": 0.6825, + "step": 8908 + }, + { + "epoch": 0.61, + "learning_rate": 3.544886631762127e-06, + "loss": 0.6686, + "step": 8909 + }, + { + "epoch": 0.61, + "learning_rate": 3.5438325100996384e-06, + "loss": 0.7543, + "step": 8910 + }, + { + "epoch": 0.61, + "learning_rate": 3.542778459152826e-06, + "loss": 0.6587, + "step": 8911 + }, + { + "epoch": 0.61, + "learning_rate": 3.5417244789728766e-06, + "loss": 0.8867, + "step": 8912 + }, + { + "epoch": 0.61, + "learning_rate": 3.5406705696109777e-06, + "loss": 0.5356, + "step": 8913 + }, + { + "epoch": 0.61, + "learning_rate": 3.5396167311183082e-06, + "loss": 0.9224, + "step": 8914 + }, + { + "epoch": 0.61, + "learning_rate": 3.538562963546046e-06, + "loss": 0.7953, + "step": 8915 + }, + { + "epoch": 0.61, + "learning_rate": 3.5375092669453624e-06, + "loss": 0.9506, + "step": 8916 + }, + { + "epoch": 0.61, + "learning_rate": 3.5364556413674334e-06, + "loss": 0.8069, + "step": 8917 + }, + { + "epoch": 0.61, + "learning_rate": 3.5354020868634207e-06, + "loss": 0.6901, + "step": 8918 + }, + { + "epoch": 0.61, + "learning_rate": 3.5343486034844897e-06, + "loss": 0.7991, + "step": 8919 + }, + { + "epoch": 0.61, + "learning_rate": 3.5332951912818038e-06, + "loss": 0.551, + "step": 8920 + }, + { + "epoch": 0.61, + "learning_rate": 3.5322418503065148e-06, + "loss": 0.5693, + "step": 8921 + }, + { + "epoch": 0.61, + "learning_rate": 3.531188580609778e-06, + "loss": 0.9758, + "step": 8922 + }, + { + "epoch": 0.61, + "learning_rate": 3.5301353822427454e-06, + "loss": 0.7948, + "step": 8923 + }, + { + "epoch": 0.61, + "learning_rate": 3.5290822552565594e-06, + "loss": 0.6953, + "step": 8924 + }, + { + "epoch": 0.61, + "learning_rate": 3.5280291997023653e-06, + "loss": 0.6111, + "step": 8925 + }, + { + "epoch": 0.61, + "learning_rate": 3.5269762156313018e-06, + "loss": 0.8187, + "step": 8926 + }, + { + "epoch": 0.61, + "learning_rate": 3.5259233030945064e-06, + "loss": 0.7653, + "step": 8927 + }, + { + "epoch": 0.61, + "learning_rate": 3.524870462143108e-06, + "loss": 0.8772, + "step": 8928 + }, + { + "epoch": 0.61, + "learning_rate": 3.5238176928282384e-06, + "loss": 0.7157, + "step": 8929 + }, + { + "epoch": 0.61, + "learning_rate": 3.522764995201024e-06, + "loss": 0.8193, + "step": 8930 + }, + { + "epoch": 0.61, + "learning_rate": 3.5217123693125827e-06, + "loss": 0.7949, + "step": 8931 + }, + { + "epoch": 0.61, + "learning_rate": 3.520659815214037e-06, + "loss": 0.5965, + "step": 8932 + }, + { + "epoch": 0.61, + "learning_rate": 3.519607332956502e-06, + "loss": 0.8304, + "step": 8933 + }, + { + "epoch": 0.61, + "learning_rate": 3.5185549225910865e-06, + "loss": 0.6558, + "step": 8934 + }, + { + "epoch": 0.61, + "learning_rate": 3.5175025841688986e-06, + "loss": 0.8975, + "step": 8935 + }, + { + "epoch": 0.61, + "learning_rate": 3.516450317741045e-06, + "loss": 0.7389, + "step": 8936 + }, + { + "epoch": 0.61, + "learning_rate": 3.5153981233586277e-06, + "loss": 0.7897, + "step": 8937 + }, + { + "epoch": 0.61, + "learning_rate": 3.5143460010727392e-06, + "loss": 0.8176, + "step": 8938 + }, + { + "epoch": 0.61, + "learning_rate": 3.5132939509344787e-06, + "loss": 0.8143, + "step": 8939 + }, + { + "epoch": 0.61, + "learning_rate": 3.5122419729949366e-06, + "loss": 0.7967, + "step": 8940 + }, + { + "epoch": 0.61, + "learning_rate": 3.5111900673051953e-06, + "loss": 0.8597, + "step": 8941 + }, + { + "epoch": 0.61, + "learning_rate": 3.5101382339163424e-06, + "loss": 0.7919, + "step": 8942 + }, + { + "epoch": 0.61, + "learning_rate": 3.5090864728794583e-06, + "loss": 0.6333, + "step": 8943 + }, + { + "epoch": 0.61, + "learning_rate": 3.5080347842456164e-06, + "loss": 0.7966, + "step": 8944 + }, + { + "epoch": 0.61, + "learning_rate": 3.5069831680658932e-06, + "loss": 0.9173, + "step": 8945 + }, + { + "epoch": 0.61, + "learning_rate": 3.5059316243913556e-06, + "loss": 0.7506, + "step": 8946 + }, + { + "epoch": 0.61, + "learning_rate": 3.50488015327307e-06, + "loss": 0.8913, + "step": 8947 + }, + { + "epoch": 0.61, + "learning_rate": 3.5038287547621007e-06, + "loss": 0.8888, + "step": 8948 + }, + { + "epoch": 0.61, + "learning_rate": 3.5027774289095046e-06, + "loss": 0.7324, + "step": 8949 + }, + { + "epoch": 0.61, + "learning_rate": 3.5017261757663366e-06, + "loss": 0.4513, + "step": 8950 + }, + { + "epoch": 0.61, + "learning_rate": 3.5006749953836515e-06, + "loss": 0.6307, + "step": 8951 + }, + { + "epoch": 0.61, + "learning_rate": 3.4996238878124955e-06, + "loss": 0.4572, + "step": 8952 + }, + { + "epoch": 0.61, + "learning_rate": 3.498572853103915e-06, + "loss": 0.721, + "step": 8953 + }, + { + "epoch": 0.61, + "learning_rate": 3.4975218913089475e-06, + "loss": 0.8327, + "step": 8954 + }, + { + "epoch": 0.61, + "learning_rate": 3.4964710024786354e-06, + "loss": 0.5504, + "step": 8955 + }, + { + "epoch": 0.61, + "learning_rate": 3.49542018666401e-06, + "loss": 0.6011, + "step": 8956 + }, + { + "epoch": 0.61, + "learning_rate": 3.4943694439161015e-06, + "loss": 0.6823, + "step": 8957 + }, + { + "epoch": 0.61, + "learning_rate": 3.4933187742859407e-06, + "loss": 0.7912, + "step": 8958 + }, + { + "epoch": 0.61, + "learning_rate": 3.4922681778245473e-06, + "loss": 0.6587, + "step": 8959 + }, + { + "epoch": 0.61, + "learning_rate": 3.4912176545829412e-06, + "loss": 0.7469, + "step": 8960 + }, + { + "epoch": 0.61, + "learning_rate": 3.4901672046121428e-06, + "loss": 0.5236, + "step": 8961 + }, + { + "epoch": 0.61, + "learning_rate": 3.4891168279631628e-06, + "loss": 0.772, + "step": 8962 + }, + { + "epoch": 0.61, + "learning_rate": 3.488066524687007e-06, + "loss": 0.8093, + "step": 8963 + }, + { + "epoch": 0.61, + "learning_rate": 3.487016294834686e-06, + "loss": 0.4754, + "step": 8964 + }, + { + "epoch": 0.61, + "learning_rate": 3.485966138457201e-06, + "loss": 0.9957, + "step": 8965 + }, + { + "epoch": 0.61, + "learning_rate": 3.4849160556055483e-06, + "loss": 0.5635, + "step": 8966 + }, + { + "epoch": 0.61, + "learning_rate": 3.483866046330725e-06, + "loss": 0.9477, + "step": 8967 + }, + { + "epoch": 0.61, + "learning_rate": 3.4828161106837234e-06, + "loss": 0.59, + "step": 8968 + }, + { + "epoch": 0.61, + "learning_rate": 3.481766248715528e-06, + "loss": 0.7687, + "step": 8969 + }, + { + "epoch": 0.61, + "learning_rate": 3.480716460477126e-06, + "loss": 0.6479, + "step": 8970 + }, + { + "epoch": 0.61, + "learning_rate": 3.4796667460194976e-06, + "loss": 0.5814, + "step": 8971 + }, + { + "epoch": 0.61, + "learning_rate": 3.4786171053936214e-06, + "loss": 0.8337, + "step": 8972 + }, + { + "epoch": 0.61, + "learning_rate": 3.477567538650466e-06, + "loss": 0.9045, + "step": 8973 + }, + { + "epoch": 0.61, + "learning_rate": 3.4765180458410053e-06, + "loss": 0.8732, + "step": 8974 + }, + { + "epoch": 0.61, + "learning_rate": 3.475468627016207e-06, + "loss": 0.7552, + "step": 8975 + }, + { + "epoch": 0.61, + "learning_rate": 3.4744192822270294e-06, + "loss": 0.9767, + "step": 8976 + }, + { + "epoch": 0.61, + "learning_rate": 3.473370011524435e-06, + "loss": 0.8403, + "step": 8977 + }, + { + "epoch": 0.61, + "learning_rate": 3.4723208149593797e-06, + "loss": 0.5735, + "step": 8978 + }, + { + "epoch": 0.61, + "learning_rate": 3.471271692582812e-06, + "loss": 0.737, + "step": 8979 + }, + { + "epoch": 0.61, + "learning_rate": 3.4702226444456844e-06, + "loss": 0.5742, + "step": 8980 + }, + { + "epoch": 0.61, + "learning_rate": 3.469173670598941e-06, + "loss": 0.8125, + "step": 8981 + }, + { + "epoch": 0.61, + "learning_rate": 3.4681247710935197e-06, + "loss": 0.7075, + "step": 8982 + }, + { + "epoch": 0.61, + "learning_rate": 3.4670759459803615e-06, + "loss": 0.6345, + "step": 8983 + }, + { + "epoch": 0.61, + "learning_rate": 3.466027195310399e-06, + "loss": 0.8583, + "step": 8984 + }, + { + "epoch": 0.61, + "learning_rate": 3.4649785191345613e-06, + "loss": 0.6728, + "step": 8985 + }, + { + "epoch": 0.61, + "learning_rate": 3.4639299175037788e-06, + "loss": 1.0568, + "step": 8986 + }, + { + "epoch": 0.61, + "learning_rate": 3.4628813904689716e-06, + "loss": 0.6372, + "step": 8987 + }, + { + "epoch": 0.61, + "learning_rate": 3.461832938081059e-06, + "loss": 0.5541, + "step": 8988 + }, + { + "epoch": 0.61, + "learning_rate": 3.4607845603909594e-06, + "loss": 0.8588, + "step": 8989 + }, + { + "epoch": 0.61, + "learning_rate": 3.4597362574495824e-06, + "loss": 0.9593, + "step": 8990 + }, + { + "epoch": 0.61, + "learning_rate": 3.458688029307839e-06, + "loss": 0.4542, + "step": 8991 + }, + { + "epoch": 0.61, + "learning_rate": 3.4576398760166306e-06, + "loss": 0.8504, + "step": 8992 + }, + { + "epoch": 0.61, + "learning_rate": 3.4565917976268627e-06, + "loss": 0.7295, + "step": 8993 + }, + { + "epoch": 0.61, + "learning_rate": 3.45554379418943e-06, + "loss": 0.7827, + "step": 8994 + }, + { + "epoch": 0.61, + "learning_rate": 3.4544958657552263e-06, + "loss": 0.7076, + "step": 8995 + }, + { + "epoch": 0.61, + "learning_rate": 3.4534480123751457e-06, + "loss": 0.8934, + "step": 8996 + }, + { + "epoch": 0.61, + "learning_rate": 3.452400234100072e-06, + "loss": 0.7454, + "step": 8997 + }, + { + "epoch": 0.61, + "learning_rate": 3.451352530980887e-06, + "loss": 0.6233, + "step": 8998 + }, + { + "epoch": 0.61, + "learning_rate": 3.450304903068475e-06, + "loss": 0.5162, + "step": 8999 + }, + { + "epoch": 0.61, + "learning_rate": 3.4492573504137085e-06, + "loss": 0.7477, + "step": 9000 + }, + { + "epoch": 0.61, + "learning_rate": 3.4482098730674577e-06, + "loss": 0.8051, + "step": 9001 + }, + { + "epoch": 0.61, + "learning_rate": 3.447162471080595e-06, + "loss": 0.7728, + "step": 9002 + }, + { + "epoch": 0.61, + "learning_rate": 3.4461151445039844e-06, + "loss": 0.9003, + "step": 9003 + }, + { + "epoch": 0.61, + "learning_rate": 3.4450678933884846e-06, + "loss": 0.5398, + "step": 9004 + }, + { + "epoch": 0.61, + "learning_rate": 3.444020717784956e-06, + "loss": 0.8493, + "step": 9005 + }, + { + "epoch": 0.61, + "learning_rate": 3.442973617744252e-06, + "loss": 0.5905, + "step": 9006 + }, + { + "epoch": 0.61, + "learning_rate": 3.441926593317221e-06, + "loss": 0.8217, + "step": 9007 + }, + { + "epoch": 0.61, + "learning_rate": 3.440879644554711e-06, + "loss": 0.5665, + "step": 9008 + }, + { + "epoch": 0.61, + "learning_rate": 3.439832771507565e-06, + "loss": 0.6276, + "step": 9009 + }, + { + "epoch": 0.61, + "learning_rate": 3.4387859742266226e-06, + "loss": 0.8185, + "step": 9010 + }, + { + "epoch": 0.61, + "learning_rate": 3.437739252762716e-06, + "loss": 0.7662, + "step": 9011 + }, + { + "epoch": 0.61, + "learning_rate": 3.4366926071666804e-06, + "loss": 0.6229, + "step": 9012 + }, + { + "epoch": 0.61, + "learning_rate": 3.4356460374893443e-06, + "loss": 0.52, + "step": 9013 + }, + { + "epoch": 0.61, + "learning_rate": 3.4345995437815283e-06, + "loss": 0.6427, + "step": 9014 + }, + { + "epoch": 0.61, + "learning_rate": 3.4335531260940567e-06, + "loss": 0.7296, + "step": 9015 + }, + { + "epoch": 0.61, + "learning_rate": 3.4325067844777467e-06, + "loss": 0.595, + "step": 9016 + }, + { + "epoch": 0.61, + "learning_rate": 3.4314605189834076e-06, + "loss": 0.8615, + "step": 9017 + }, + { + "epoch": 0.61, + "learning_rate": 3.430414329661853e-06, + "loss": 0.7618, + "step": 9018 + }, + { + "epoch": 0.61, + "learning_rate": 3.4293682165638898e-06, + "loss": 0.764, + "step": 9019 + }, + { + "epoch": 0.61, + "learning_rate": 3.428322179740315e-06, + "loss": 0.8034, + "step": 9020 + }, + { + "epoch": 0.61, + "learning_rate": 3.427276219241933e-06, + "loss": 0.9231, + "step": 9021 + }, + { + "epoch": 0.61, + "learning_rate": 3.426230335119534e-06, + "loss": 0.6459, + "step": 9022 + }, + { + "epoch": 0.61, + "learning_rate": 3.4251845274239105e-06, + "loss": 0.8336, + "step": 9023 + }, + { + "epoch": 0.61, + "learning_rate": 3.4241387962058524e-06, + "loss": 0.6793, + "step": 9024 + }, + { + "epoch": 0.61, + "learning_rate": 3.423093141516141e-06, + "loss": 0.7028, + "step": 9025 + }, + { + "epoch": 0.61, + "learning_rate": 3.4220475634055563e-06, + "loss": 0.7145, + "step": 9026 + }, + { + "epoch": 0.61, + "learning_rate": 3.4210020619248762e-06, + "loss": 0.6243, + "step": 9027 + }, + { + "epoch": 0.61, + "learning_rate": 3.419956637124871e-06, + "loss": 0.7057, + "step": 9028 + }, + { + "epoch": 0.61, + "learning_rate": 3.4189112890563118e-06, + "loss": 0.7473, + "step": 9029 + }, + { + "epoch": 0.61, + "learning_rate": 3.4178660177699608e-06, + "loss": 0.8899, + "step": 9030 + }, + { + "epoch": 0.61, + "learning_rate": 3.4168208233165835e-06, + "loss": 0.7476, + "step": 9031 + }, + { + "epoch": 0.61, + "learning_rate": 3.415775705746934e-06, + "loss": 0.7376, + "step": 9032 + }, + { + "epoch": 0.61, + "learning_rate": 3.4147306651117663e-06, + "loss": 0.7769, + "step": 9033 + }, + { + "epoch": 0.61, + "learning_rate": 3.413685701461833e-06, + "loss": 0.7758, + "step": 9034 + }, + { + "epoch": 0.61, + "learning_rate": 3.412640814847879e-06, + "loss": 0.842, + "step": 9035 + }, + { + "epoch": 0.61, + "learning_rate": 3.4115960053206463e-06, + "loss": 0.6158, + "step": 9036 + }, + { + "epoch": 0.61, + "learning_rate": 3.4105512729308764e-06, + "loss": 0.6894, + "step": 9037 + }, + { + "epoch": 0.61, + "learning_rate": 3.4095066177293033e-06, + "loss": 0.5613, + "step": 9038 + }, + { + "epoch": 0.61, + "learning_rate": 3.4084620397666556e-06, + "loss": 0.8816, + "step": 9039 + }, + { + "epoch": 0.62, + "learning_rate": 3.407417539093665e-06, + "loss": 0.7139, + "step": 9040 + }, + { + "epoch": 0.62, + "learning_rate": 3.4063731157610545e-06, + "loss": 0.5576, + "step": 9041 + }, + { + "epoch": 0.62, + "learning_rate": 3.4053287698195415e-06, + "loss": 0.9025, + "step": 9042 + }, + { + "epoch": 0.62, + "learning_rate": 3.4042845013198457e-06, + "loss": 0.9048, + "step": 9043 + }, + { + "epoch": 0.62, + "learning_rate": 3.40324031031268e-06, + "loss": 0.6272, + "step": 9044 + }, + { + "epoch": 0.62, + "learning_rate": 3.402196196848751e-06, + "loss": 0.9026, + "step": 9045 + }, + { + "epoch": 0.62, + "learning_rate": 3.4011521609787633e-06, + "loss": 0.672, + "step": 9046 + }, + { + "epoch": 0.62, + "learning_rate": 3.400108202753423e-06, + "loss": 0.7154, + "step": 9047 + }, + { + "epoch": 0.62, + "learning_rate": 3.399064322223424e-06, + "loss": 0.7074, + "step": 9048 + }, + { + "epoch": 0.62, + "learning_rate": 3.398020519439459e-06, + "loss": 0.789, + "step": 9049 + }, + { + "epoch": 0.62, + "learning_rate": 3.3969767944522204e-06, + "loss": 0.9107, + "step": 9050 + }, + { + "epoch": 0.62, + "learning_rate": 3.3959331473123947e-06, + "loss": 0.5351, + "step": 9051 + }, + { + "epoch": 0.62, + "learning_rate": 3.3948895780706616e-06, + "loss": 0.6373, + "step": 9052 + }, + { + "epoch": 0.62, + "learning_rate": 3.393846086777703e-06, + "loss": 0.7044, + "step": 9053 + }, + { + "epoch": 0.62, + "learning_rate": 3.3928026734841935e-06, + "loss": 0.6866, + "step": 9054 + }, + { + "epoch": 0.62, + "learning_rate": 3.391759338240801e-06, + "loss": 0.7833, + "step": 9055 + }, + { + "epoch": 0.62, + "learning_rate": 3.3907160810981963e-06, + "loss": 0.9672, + "step": 9056 + }, + { + "epoch": 0.62, + "learning_rate": 3.389672902107044e-06, + "loss": 0.9112, + "step": 9057 + }, + { + "epoch": 0.62, + "learning_rate": 3.3886298013179987e-06, + "loss": 0.9716, + "step": 9058 + }, + { + "epoch": 0.62, + "learning_rate": 3.3875867787817217e-06, + "loss": 0.5651, + "step": 9059 + }, + { + "epoch": 0.62, + "learning_rate": 3.386543834548862e-06, + "loss": 0.6964, + "step": 9060 + }, + { + "epoch": 0.62, + "learning_rate": 3.385500968670068e-06, + "loss": 0.8118, + "step": 9061 + }, + { + "epoch": 0.62, + "learning_rate": 3.3844581811959863e-06, + "loss": 0.5968, + "step": 9062 + }, + { + "epoch": 0.62, + "learning_rate": 3.383415472177256e-06, + "loss": 0.7015, + "step": 9063 + }, + { + "epoch": 0.62, + "learning_rate": 3.3823728416645156e-06, + "loss": 0.7708, + "step": 9064 + }, + { + "epoch": 0.62, + "learning_rate": 3.3813302897083955e-06, + "loss": 0.5715, + "step": 9065 + }, + { + "epoch": 0.62, + "learning_rate": 3.3802878163595273e-06, + "loss": 0.8694, + "step": 9066 + }, + { + "epoch": 0.62, + "learning_rate": 3.3792454216685365e-06, + "loss": 0.9411, + "step": 9067 + }, + { + "epoch": 0.62, + "learning_rate": 3.3782031056860427e-06, + "loss": 0.7157, + "step": 9068 + }, + { + "epoch": 0.62, + "learning_rate": 3.3771608684626667e-06, + "loss": 0.8962, + "step": 9069 + }, + { + "epoch": 0.62, + "learning_rate": 3.3761187100490204e-06, + "loss": 0.6954, + "step": 9070 + }, + { + "epoch": 0.62, + "learning_rate": 3.375076630495714e-06, + "loss": 0.689, + "step": 9071 + }, + { + "epoch": 0.62, + "learning_rate": 3.374034629853356e-06, + "loss": 0.7845, + "step": 9072 + }, + { + "epoch": 0.62, + "learning_rate": 3.3729927081725465e-06, + "loss": 0.5848, + "step": 9073 + }, + { + "epoch": 0.62, + "learning_rate": 3.3719508655038847e-06, + "loss": 0.5722, + "step": 9074 + }, + { + "epoch": 0.62, + "learning_rate": 3.3709091018979677e-06, + "loss": 0.8022, + "step": 9075 + }, + { + "epoch": 0.62, + "learning_rate": 3.369867417405385e-06, + "loss": 0.8348, + "step": 9076 + }, + { + "epoch": 0.62, + "learning_rate": 3.3688258120767207e-06, + "loss": 0.8461, + "step": 9077 + }, + { + "epoch": 0.62, + "learning_rate": 3.3677842859625626e-06, + "loss": 0.7522, + "step": 9078 + }, + { + "epoch": 0.62, + "learning_rate": 3.3667428391134897e-06, + "loss": 0.6286, + "step": 9079 + }, + { + "epoch": 0.62, + "learning_rate": 3.3657014715800746e-06, + "loss": 0.7164, + "step": 9080 + }, + { + "epoch": 0.62, + "learning_rate": 3.3646601834128924e-06, + "loss": 0.6701, + "step": 9081 + }, + { + "epoch": 0.62, + "learning_rate": 3.3636189746625105e-06, + "loss": 0.568, + "step": 9082 + }, + { + "epoch": 0.62, + "learning_rate": 3.3625778453794904e-06, + "loss": 0.798, + "step": 9083 + }, + { + "epoch": 0.62, + "learning_rate": 3.361536795614394e-06, + "loss": 0.5833, + "step": 9084 + }, + { + "epoch": 0.62, + "learning_rate": 3.3604958254177794e-06, + "loss": 0.6806, + "step": 9085 + }, + { + "epoch": 0.62, + "learning_rate": 3.359454934840198e-06, + "loss": 0.5993, + "step": 9086 + }, + { + "epoch": 0.62, + "learning_rate": 3.3584141239321953e-06, + "loss": 0.8614, + "step": 9087 + }, + { + "epoch": 0.62, + "learning_rate": 3.3573733927443203e-06, + "loss": 0.6797, + "step": 9088 + }, + { + "epoch": 0.62, + "learning_rate": 3.356332741327113e-06, + "loss": 0.9402, + "step": 9089 + }, + { + "epoch": 0.62, + "learning_rate": 3.355292169731108e-06, + "loss": 0.8123, + "step": 9090 + }, + { + "epoch": 0.62, + "learning_rate": 3.354251678006841e-06, + "loss": 0.9012, + "step": 9091 + }, + { + "epoch": 0.62, + "learning_rate": 3.353211266204841e-06, + "loss": 0.653, + "step": 9092 + }, + { + "epoch": 0.62, + "learning_rate": 3.3521709343756317e-06, + "loss": 0.7321, + "step": 9093 + }, + { + "epoch": 0.62, + "learning_rate": 3.3511306825697365e-06, + "loss": 0.5412, + "step": 9094 + }, + { + "epoch": 0.62, + "learning_rate": 3.350090510837673e-06, + "loss": 0.7685, + "step": 9095 + }, + { + "epoch": 0.62, + "learning_rate": 3.349050419229952e-06, + "loss": 0.8002, + "step": 9096 + }, + { + "epoch": 0.62, + "learning_rate": 3.348010407797088e-06, + "loss": 0.9461, + "step": 9097 + }, + { + "epoch": 0.62, + "learning_rate": 3.346970476589583e-06, + "loss": 0.6891, + "step": 9098 + }, + { + "epoch": 0.62, + "learning_rate": 3.3459306256579405e-06, + "loss": 0.6319, + "step": 9099 + }, + { + "epoch": 0.62, + "learning_rate": 3.3448908550526595e-06, + "loss": 0.7427, + "step": 9100 + }, + { + "epoch": 0.62, + "learning_rate": 3.3438511648242335e-06, + "loss": 0.6674, + "step": 9101 + }, + { + "epoch": 0.62, + "learning_rate": 3.342811555023153e-06, + "loss": 0.6614, + "step": 9102 + }, + { + "epoch": 0.62, + "learning_rate": 3.341772025699902e-06, + "loss": 0.699, + "step": 9103 + }, + { + "epoch": 0.62, + "learning_rate": 3.3407325769049662e-06, + "loss": 0.7473, + "step": 9104 + }, + { + "epoch": 0.62, + "learning_rate": 3.3396932086888245e-06, + "loss": 0.8119, + "step": 9105 + }, + { + "epoch": 0.62, + "learning_rate": 3.338653921101949e-06, + "loss": 0.7819, + "step": 9106 + }, + { + "epoch": 0.62, + "learning_rate": 3.3376147141948127e-06, + "loss": 0.7369, + "step": 9107 + }, + { + "epoch": 0.62, + "learning_rate": 3.336575588017881e-06, + "loss": 0.6984, + "step": 9108 + }, + { + "epoch": 0.62, + "learning_rate": 3.335536542621617e-06, + "loss": 0.7689, + "step": 9109 + }, + { + "epoch": 0.62, + "learning_rate": 3.3344975780564813e-06, + "loss": 0.4666, + "step": 9110 + }, + { + "epoch": 0.62, + "learning_rate": 3.333458694372928e-06, + "loss": 0.833, + "step": 9111 + }, + { + "epoch": 0.62, + "learning_rate": 3.332419891621407e-06, + "loss": 0.8799, + "step": 9112 + }, + { + "epoch": 0.62, + "learning_rate": 3.3313811698523677e-06, + "loss": 0.8222, + "step": 9113 + }, + { + "epoch": 0.62, + "learning_rate": 3.330342529116253e-06, + "loss": 0.8351, + "step": 9114 + }, + { + "epoch": 0.62, + "learning_rate": 3.3293039694634997e-06, + "loss": 0.8106, + "step": 9115 + }, + { + "epoch": 0.62, + "learning_rate": 3.3282654909445467e-06, + "loss": 0.6135, + "step": 9116 + }, + { + "epoch": 0.62, + "learning_rate": 3.3272270936098243e-06, + "loss": 1.0251, + "step": 9117 + }, + { + "epoch": 0.62, + "learning_rate": 3.326188777509758e-06, + "loss": 0.6196, + "step": 9118 + }, + { + "epoch": 0.62, + "learning_rate": 3.3251505426947744e-06, + "loss": 0.8894, + "step": 9119 + }, + { + "epoch": 0.62, + "learning_rate": 3.3241123892152925e-06, + "loss": 1.0355, + "step": 9120 + }, + { + "epoch": 0.62, + "learning_rate": 3.3230743171217274e-06, + "loss": 0.6946, + "step": 9121 + }, + { + "epoch": 0.62, + "learning_rate": 3.3220363264644895e-06, + "loss": 0.6805, + "step": 9122 + }, + { + "epoch": 0.62, + "learning_rate": 3.32099841729399e-06, + "loss": 1.0783, + "step": 9123 + }, + { + "epoch": 0.62, + "learning_rate": 3.319960589660631e-06, + "loss": 0.7646, + "step": 9124 + }, + { + "epoch": 0.62, + "learning_rate": 3.31892284361481e-06, + "loss": 0.9545, + "step": 9125 + }, + { + "epoch": 0.62, + "learning_rate": 3.3178851792069265e-06, + "loss": 0.8184, + "step": 9126 + }, + { + "epoch": 0.62, + "learning_rate": 3.3168475964873713e-06, + "loss": 0.6788, + "step": 9127 + }, + { + "epoch": 0.62, + "learning_rate": 3.3158100955065307e-06, + "loss": 0.5489, + "step": 9128 + }, + { + "epoch": 0.62, + "learning_rate": 3.3147726763147913e-06, + "loss": 0.737, + "step": 9129 + }, + { + "epoch": 0.62, + "learning_rate": 3.3137353389625337e-06, + "loss": 0.9272, + "step": 9130 + }, + { + "epoch": 0.62, + "learning_rate": 3.3126980835001297e-06, + "loss": 0.6864, + "step": 9131 + }, + { + "epoch": 0.62, + "learning_rate": 3.311660909977955e-06, + "loss": 0.8006, + "step": 9132 + }, + { + "epoch": 0.62, + "learning_rate": 3.310623818446378e-06, + "loss": 0.6477, + "step": 9133 + }, + { + "epoch": 0.62, + "learning_rate": 3.3095868089557594e-06, + "loss": 0.8983, + "step": 9134 + }, + { + "epoch": 0.62, + "learning_rate": 3.3085498815564644e-06, + "loss": 0.6319, + "step": 9135 + }, + { + "epoch": 0.62, + "learning_rate": 3.3075130362988438e-06, + "loss": 0.7937, + "step": 9136 + }, + { + "epoch": 0.62, + "learning_rate": 3.3064762732332528e-06, + "loss": 0.7529, + "step": 9137 + }, + { + "epoch": 0.62, + "learning_rate": 3.305439592410041e-06, + "loss": 0.5907, + "step": 9138 + }, + { + "epoch": 0.62, + "learning_rate": 3.304402993879549e-06, + "loss": 0.6086, + "step": 9139 + }, + { + "epoch": 0.62, + "learning_rate": 3.30336647769212e-06, + "loss": 0.9368, + "step": 9140 + }, + { + "epoch": 0.62, + "learning_rate": 3.302330043898088e-06, + "loss": 0.8315, + "step": 9141 + }, + { + "epoch": 0.62, + "learning_rate": 3.3012936925477856e-06, + "loss": 0.8094, + "step": 9142 + }, + { + "epoch": 0.62, + "learning_rate": 3.3002574236915438e-06, + "loss": 0.7433, + "step": 9143 + }, + { + "epoch": 0.62, + "learning_rate": 3.2992212373796816e-06, + "loss": 0.5072, + "step": 9144 + }, + { + "epoch": 0.62, + "learning_rate": 3.298185133662525e-06, + "loss": 0.6847, + "step": 9145 + }, + { + "epoch": 0.62, + "learning_rate": 3.2971491125903854e-06, + "loss": 0.4514, + "step": 9146 + }, + { + "epoch": 0.62, + "learning_rate": 3.2961131742135766e-06, + "loss": 0.6849, + "step": 9147 + }, + { + "epoch": 0.62, + "learning_rate": 3.2950773185824094e-06, + "loss": 0.7704, + "step": 9148 + }, + { + "epoch": 0.62, + "learning_rate": 3.294041545747183e-06, + "loss": 0.6128, + "step": 9149 + }, + { + "epoch": 0.62, + "learning_rate": 3.2930058557582e-06, + "loss": 0.7923, + "step": 9150 + }, + { + "epoch": 0.62, + "learning_rate": 3.291970248665759e-06, + "loss": 0.4775, + "step": 9151 + }, + { + "epoch": 0.62, + "learning_rate": 3.290934724520149e-06, + "loss": 0.9034, + "step": 9152 + }, + { + "epoch": 0.62, + "learning_rate": 3.289899283371657e-06, + "loss": 0.7124, + "step": 9153 + }, + { + "epoch": 0.62, + "learning_rate": 3.288863925270569e-06, + "loss": 0.3587, + "step": 9154 + }, + { + "epoch": 0.62, + "learning_rate": 3.2878286502671665e-06, + "loss": 0.8903, + "step": 9155 + }, + { + "epoch": 0.62, + "learning_rate": 3.28679345841172e-06, + "loss": 0.7102, + "step": 9156 + }, + { + "epoch": 0.62, + "learning_rate": 3.285758349754507e-06, + "loss": 0.7512, + "step": 9157 + }, + { + "epoch": 0.62, + "learning_rate": 3.2847233243457944e-06, + "loss": 0.9525, + "step": 9158 + }, + { + "epoch": 0.62, + "learning_rate": 3.2836883822358436e-06, + "loss": 0.8338, + "step": 9159 + }, + { + "epoch": 0.62, + "learning_rate": 3.282653523474914e-06, + "loss": 0.7742, + "step": 9160 + }, + { + "epoch": 0.62, + "learning_rate": 3.2816187481132655e-06, + "loss": 0.8009, + "step": 9161 + }, + { + "epoch": 0.62, + "learning_rate": 3.280584056201147e-06, + "loss": 0.6149, + "step": 9162 + }, + { + "epoch": 0.62, + "learning_rate": 3.2795494477888045e-06, + "loss": 0.4455, + "step": 9163 + }, + { + "epoch": 0.62, + "learning_rate": 3.2785149229264844e-06, + "loss": 0.7739, + "step": 9164 + }, + { + "epoch": 0.62, + "learning_rate": 3.2774804816644255e-06, + "loss": 0.7046, + "step": 9165 + }, + { + "epoch": 0.62, + "learning_rate": 3.2764461240528617e-06, + "loss": 0.6657, + "step": 9166 + }, + { + "epoch": 0.62, + "learning_rate": 3.2754118501420263e-06, + "loss": 0.4943, + "step": 9167 + }, + { + "epoch": 0.62, + "learning_rate": 3.274377659982147e-06, + "loss": 1.0327, + "step": 9168 + }, + { + "epoch": 0.62, + "learning_rate": 3.2733435536234438e-06, + "loss": 0.7739, + "step": 9169 + }, + { + "epoch": 0.62, + "learning_rate": 3.272309531116139e-06, + "loss": 0.8205, + "step": 9170 + }, + { + "epoch": 0.62, + "learning_rate": 3.2712755925104478e-06, + "loss": 0.8282, + "step": 9171 + }, + { + "epoch": 0.62, + "learning_rate": 3.2702417378565775e-06, + "loss": 0.6968, + "step": 9172 + }, + { + "epoch": 0.62, + "learning_rate": 3.2692079672047407e-06, + "loss": 0.562, + "step": 9173 + }, + { + "epoch": 0.62, + "learning_rate": 3.2681742806051354e-06, + "loss": 0.6381, + "step": 9174 + }, + { + "epoch": 0.62, + "learning_rate": 3.267140678107964e-06, + "loss": 0.9785, + "step": 9175 + }, + { + "epoch": 0.62, + "learning_rate": 3.266107159763417e-06, + "loss": 0.8113, + "step": 9176 + }, + { + "epoch": 0.62, + "learning_rate": 3.2650737256216885e-06, + "loss": 0.6054, + "step": 9177 + }, + { + "epoch": 0.62, + "learning_rate": 3.264040375732965e-06, + "loss": 0.5603, + "step": 9178 + }, + { + "epoch": 0.62, + "learning_rate": 3.2630071101474258e-06, + "loss": 0.5806, + "step": 9179 + }, + { + "epoch": 0.62, + "learning_rate": 3.261973928915253e-06, + "loss": 0.4266, + "step": 9180 + }, + { + "epoch": 0.62, + "learning_rate": 3.26094083208662e-06, + "loss": 0.4756, + "step": 9181 + }, + { + "epoch": 0.62, + "learning_rate": 3.259907819711694e-06, + "loss": 0.735, + "step": 9182 + }, + { + "epoch": 0.62, + "learning_rate": 3.2588748918406454e-06, + "loss": 0.8181, + "step": 9183 + }, + { + "epoch": 0.62, + "learning_rate": 3.257842048523633e-06, + "loss": 0.5724, + "step": 9184 + }, + { + "epoch": 0.62, + "learning_rate": 3.2568092898108143e-06, + "loss": 0.8727, + "step": 9185 + }, + { + "epoch": 0.62, + "learning_rate": 3.2557766157523467e-06, + "loss": 0.7671, + "step": 9186 + }, + { + "epoch": 0.63, + "learning_rate": 3.2547440263983763e-06, + "loss": 0.6583, + "step": 9187 + }, + { + "epoch": 0.63, + "learning_rate": 3.253711521799049e-06, + "loss": 0.4806, + "step": 9188 + }, + { + "epoch": 0.63, + "learning_rate": 3.252679102004509e-06, + "loss": 0.8544, + "step": 9189 + }, + { + "epoch": 0.63, + "learning_rate": 3.251646767064891e-06, + "loss": 0.6886, + "step": 9190 + }, + { + "epoch": 0.63, + "learning_rate": 3.250614517030327e-06, + "loss": 0.8449, + "step": 9191 + }, + { + "epoch": 0.63, + "learning_rate": 3.249582351950949e-06, + "loss": 0.4715, + "step": 9192 + }, + { + "epoch": 0.63, + "learning_rate": 3.2485502718768814e-06, + "loss": 0.6206, + "step": 9193 + }, + { + "epoch": 0.63, + "learning_rate": 3.2475182768582435e-06, + "loss": 0.7767, + "step": 9194 + }, + { + "epoch": 0.63, + "learning_rate": 3.2464863669451508e-06, + "loss": 0.8036, + "step": 9195 + }, + { + "epoch": 0.63, + "learning_rate": 3.2454545421877204e-06, + "loss": 0.8743, + "step": 9196 + }, + { + "epoch": 0.63, + "learning_rate": 3.244422802636057e-06, + "loss": 0.8837, + "step": 9197 + }, + { + "epoch": 0.63, + "learning_rate": 3.243391148340264e-06, + "loss": 0.5256, + "step": 9198 + }, + { + "epoch": 0.63, + "learning_rate": 3.242359579350446e-06, + "loss": 0.6436, + "step": 9199 + }, + { + "epoch": 0.63, + "learning_rate": 3.241328095716696e-06, + "loss": 0.5375, + "step": 9200 + }, + { + "epoch": 0.63, + "learning_rate": 3.240296697489104e-06, + "loss": 0.7427, + "step": 9201 + }, + { + "epoch": 0.63, + "learning_rate": 3.2392653847177603e-06, + "loss": 0.5617, + "step": 9202 + }, + { + "epoch": 0.63, + "learning_rate": 3.238234157452749e-06, + "loss": 0.8861, + "step": 9203 + }, + { + "epoch": 0.63, + "learning_rate": 3.237203015744147e-06, + "loss": 0.748, + "step": 9204 + }, + { + "epoch": 0.63, + "learning_rate": 3.2361719596420303e-06, + "loss": 0.7859, + "step": 9205 + }, + { + "epoch": 0.63, + "learning_rate": 3.2351409891964723e-06, + "loss": 0.7446, + "step": 9206 + }, + { + "epoch": 0.63, + "learning_rate": 3.234110104457536e-06, + "loss": 0.8257, + "step": 9207 + }, + { + "epoch": 0.63, + "learning_rate": 3.2330793054752873e-06, + "loss": 0.6901, + "step": 9208 + }, + { + "epoch": 0.63, + "learning_rate": 3.2320485922997842e-06, + "loss": 0.5551, + "step": 9209 + }, + { + "epoch": 0.63, + "learning_rate": 3.2310179649810785e-06, + "loss": 0.6045, + "step": 9210 + }, + { + "epoch": 0.63, + "learning_rate": 3.229987423569224e-06, + "loss": 0.6436, + "step": 9211 + }, + { + "epoch": 0.63, + "learning_rate": 3.2289569681142653e-06, + "loss": 0.6244, + "step": 9212 + }, + { + "epoch": 0.63, + "learning_rate": 3.227926598666244e-06, + "loss": 0.7763, + "step": 9213 + }, + { + "epoch": 0.63, + "learning_rate": 3.2268963152751966e-06, + "loss": 0.5941, + "step": 9214 + }, + { + "epoch": 0.63, + "learning_rate": 3.2258661179911583e-06, + "loss": 0.8827, + "step": 9215 + }, + { + "epoch": 0.63, + "learning_rate": 3.2248360068641595e-06, + "loss": 0.7159, + "step": 9216 + }, + { + "epoch": 0.63, + "learning_rate": 3.2238059819442214e-06, + "loss": 0.6151, + "step": 9217 + }, + { + "epoch": 0.63, + "learning_rate": 3.2227760432813694e-06, + "loss": 0.8397, + "step": 9218 + }, + { + "epoch": 0.63, + "learning_rate": 3.2217461909256186e-06, + "loss": 0.5635, + "step": 9219 + }, + { + "epoch": 0.63, + "learning_rate": 3.2207164249269795e-06, + "loss": 0.9133, + "step": 9220 + }, + { + "epoch": 0.63, + "learning_rate": 3.219686745335465e-06, + "loss": 0.5075, + "step": 9221 + }, + { + "epoch": 0.63, + "learning_rate": 3.2186571522010744e-06, + "loss": 0.9596, + "step": 9222 + }, + { + "epoch": 0.63, + "learning_rate": 3.2176276455738103e-06, + "loss": 0.6752, + "step": 9223 + }, + { + "epoch": 0.63, + "learning_rate": 3.21659822550367e-06, + "loss": 0.7033, + "step": 9224 + }, + { + "epoch": 0.63, + "learning_rate": 3.2155688920406415e-06, + "loss": 0.7876, + "step": 9225 + }, + { + "epoch": 0.63, + "learning_rate": 3.2145396452347133e-06, + "loss": 0.6728, + "step": 9226 + }, + { + "epoch": 0.63, + "learning_rate": 3.2135104851358713e-06, + "loss": 0.7962, + "step": 9227 + }, + { + "epoch": 0.63, + "learning_rate": 3.2124814117940923e-06, + "loss": 0.4191, + "step": 9228 + }, + { + "epoch": 0.63, + "learning_rate": 3.2114524252593494e-06, + "loss": 0.7776, + "step": 9229 + }, + { + "epoch": 0.63, + "learning_rate": 3.210423525581615e-06, + "loss": 0.8062, + "step": 9230 + }, + { + "epoch": 0.63, + "learning_rate": 3.209394712810857e-06, + "loss": 0.7365, + "step": 9231 + }, + { + "epoch": 0.63, + "learning_rate": 3.208365986997035e-06, + "loss": 0.5652, + "step": 9232 + }, + { + "epoch": 0.63, + "learning_rate": 3.207337348190107e-06, + "loss": 0.6838, + "step": 9233 + }, + { + "epoch": 0.63, + "learning_rate": 3.2063087964400284e-06, + "loss": 1.0438, + "step": 9234 + }, + { + "epoch": 0.63, + "learning_rate": 3.2052803317967475e-06, + "loss": 0.8776, + "step": 9235 + }, + { + "epoch": 0.63, + "learning_rate": 3.204251954310208e-06, + "loss": 0.7168, + "step": 9236 + }, + { + "epoch": 0.63, + "learning_rate": 3.203223664030355e-06, + "loss": 0.511, + "step": 9237 + }, + { + "epoch": 0.63, + "learning_rate": 3.2021954610071227e-06, + "loss": 0.7881, + "step": 9238 + }, + { + "epoch": 0.63, + "learning_rate": 3.2011673452904412e-06, + "loss": 0.6083, + "step": 9239 + }, + { + "epoch": 0.63, + "learning_rate": 3.200139316930242e-06, + "loss": 0.7693, + "step": 9240 + }, + { + "epoch": 0.63, + "learning_rate": 3.1991113759764493e-06, + "loss": 0.8414, + "step": 9241 + }, + { + "epoch": 0.63, + "learning_rate": 3.19808352247898e-06, + "loss": 0.6689, + "step": 9242 + }, + { + "epoch": 0.63, + "learning_rate": 3.1970557564877524e-06, + "loss": 0.7066, + "step": 9243 + }, + { + "epoch": 0.63, + "learning_rate": 3.1960280780526774e-06, + "loss": 0.5132, + "step": 9244 + }, + { + "epoch": 0.63, + "learning_rate": 3.19500048722366e-06, + "loss": 0.7482, + "step": 9245 + }, + { + "epoch": 0.63, + "learning_rate": 3.1939729840506052e-06, + "loss": 0.8556, + "step": 9246 + }, + { + "epoch": 0.63, + "learning_rate": 3.1929455685834114e-06, + "loss": 0.8481, + "step": 9247 + }, + { + "epoch": 0.63, + "learning_rate": 3.191918240871971e-06, + "loss": 0.8003, + "step": 9248 + }, + { + "epoch": 0.63, + "learning_rate": 3.190891000966176e-06, + "loss": 0.496, + "step": 9249 + }, + { + "epoch": 0.63, + "learning_rate": 3.1898638489159106e-06, + "loss": 0.4722, + "step": 9250 + }, + { + "epoch": 0.63, + "learning_rate": 3.188836784771058e-06, + "loss": 0.8198, + "step": 9251 + }, + { + "epoch": 0.63, + "learning_rate": 3.1878098085814926e-06, + "loss": 0.5867, + "step": 9252 + }, + { + "epoch": 0.63, + "learning_rate": 3.186782920397089e-06, + "loss": 0.7963, + "step": 9253 + }, + { + "epoch": 0.63, + "learning_rate": 3.185756120267718e-06, + "loss": 0.7715, + "step": 9254 + }, + { + "epoch": 0.63, + "learning_rate": 3.1847294082432388e-06, + "loss": 0.8083, + "step": 9255 + }, + { + "epoch": 0.63, + "learning_rate": 3.183702784373516e-06, + "loss": 0.6352, + "step": 9256 + }, + { + "epoch": 0.63, + "learning_rate": 3.1826762487084053e-06, + "loss": 0.8465, + "step": 9257 + }, + { + "epoch": 0.63, + "learning_rate": 3.1816498012977536e-06, + "loss": 0.8368, + "step": 9258 + }, + { + "epoch": 0.63, + "learning_rate": 3.1806234421914144e-06, + "loss": 0.6427, + "step": 9259 + }, + { + "epoch": 0.63, + "learning_rate": 3.1795971714392264e-06, + "loss": 0.8795, + "step": 9260 + }, + { + "epoch": 0.63, + "learning_rate": 3.178570989091028e-06, + "loss": 0.769, + "step": 9261 + }, + { + "epoch": 0.63, + "learning_rate": 3.1775448951966577e-06, + "loss": 0.8653, + "step": 9262 + }, + { + "epoch": 0.63, + "learning_rate": 3.176518889805941e-06, + "loss": 0.7524, + "step": 9263 + }, + { + "epoch": 0.63, + "learning_rate": 3.1754929729687057e-06, + "loss": 0.856, + "step": 9264 + }, + { + "epoch": 0.63, + "learning_rate": 3.174467144734774e-06, + "loss": 0.8664, + "step": 9265 + }, + { + "epoch": 0.63, + "learning_rate": 3.173441405153963e-06, + "loss": 0.9132, + "step": 9266 + }, + { + "epoch": 0.63, + "learning_rate": 3.172415754276082e-06, + "loss": 0.7931, + "step": 9267 + }, + { + "epoch": 0.63, + "learning_rate": 3.1713901921509436e-06, + "loss": 0.8942, + "step": 9268 + }, + { + "epoch": 0.63, + "learning_rate": 3.1703647188283515e-06, + "loss": 0.6248, + "step": 9269 + }, + { + "epoch": 0.63, + "learning_rate": 3.169339334358105e-06, + "loss": 0.5407, + "step": 9270 + }, + { + "epoch": 0.63, + "learning_rate": 3.168314038789997e-06, + "loss": 0.4908, + "step": 9271 + }, + { + "epoch": 0.63, + "learning_rate": 3.1672888321738237e-06, + "loss": 0.7365, + "step": 9272 + }, + { + "epoch": 0.63, + "learning_rate": 3.16626371455937e-06, + "loss": 0.5731, + "step": 9273 + }, + { + "epoch": 0.63, + "learning_rate": 3.1652386859964155e-06, + "loss": 0.7544, + "step": 9274 + }, + { + "epoch": 0.63, + "learning_rate": 3.1642137465347444e-06, + "loss": 0.6921, + "step": 9275 + }, + { + "epoch": 0.63, + "learning_rate": 3.163188896224128e-06, + "loss": 0.7748, + "step": 9276 + }, + { + "epoch": 0.63, + "learning_rate": 3.162164135114333e-06, + "loss": 0.7858, + "step": 9277 + }, + { + "epoch": 0.63, + "learning_rate": 3.1611394632551282e-06, + "loss": 0.8187, + "step": 9278 + }, + { + "epoch": 0.63, + "learning_rate": 3.1601148806962757e-06, + "loss": 0.5894, + "step": 9279 + }, + { + "epoch": 0.63, + "learning_rate": 3.159090387487528e-06, + "loss": 0.6962, + "step": 9280 + }, + { + "epoch": 0.63, + "learning_rate": 3.1580659836786397e-06, + "loss": 0.7064, + "step": 9281 + }, + { + "epoch": 0.63, + "learning_rate": 3.1570416693193605e-06, + "loss": 0.7195, + "step": 9282 + }, + { + "epoch": 0.63, + "learning_rate": 3.1560174444594304e-06, + "loss": 0.8344, + "step": 9283 + }, + { + "epoch": 0.63, + "learning_rate": 3.1549933091485912e-06, + "loss": 0.5816, + "step": 9284 + }, + { + "epoch": 0.63, + "learning_rate": 3.1539692634365788e-06, + "loss": 0.4628, + "step": 9285 + }, + { + "epoch": 0.63, + "learning_rate": 3.1529453073731198e-06, + "loss": 0.6046, + "step": 9286 + }, + { + "epoch": 0.63, + "learning_rate": 3.151921441007945e-06, + "loss": 0.7118, + "step": 9287 + }, + { + "epoch": 0.63, + "learning_rate": 3.1508976643907733e-06, + "loss": 0.4703, + "step": 9288 + }, + { + "epoch": 0.63, + "learning_rate": 3.149873977571324e-06, + "loss": 0.7872, + "step": 9289 + }, + { + "epoch": 0.63, + "learning_rate": 3.148850380599308e-06, + "loss": 0.6858, + "step": 9290 + }, + { + "epoch": 0.63, + "learning_rate": 3.147826873524436e-06, + "loss": 0.8701, + "step": 9291 + }, + { + "epoch": 0.63, + "learning_rate": 3.1468034563964135e-06, + "loss": 0.9225, + "step": 9292 + }, + { + "epoch": 0.63, + "learning_rate": 3.1457801292649365e-06, + "loss": 0.6657, + "step": 9293 + }, + { + "epoch": 0.63, + "learning_rate": 3.1447568921797047e-06, + "loss": 0.6471, + "step": 9294 + }, + { + "epoch": 0.63, + "learning_rate": 3.1437337451904083e-06, + "loss": 0.735, + "step": 9295 + }, + { + "epoch": 0.63, + "learning_rate": 3.1427106883467327e-06, + "loss": 0.8365, + "step": 9296 + }, + { + "epoch": 0.63, + "learning_rate": 3.141687721698363e-06, + "loss": 0.535, + "step": 9297 + }, + { + "epoch": 0.63, + "learning_rate": 3.1406648452949764e-06, + "loss": 0.5587, + "step": 9298 + }, + { + "epoch": 0.63, + "learning_rate": 3.139642059186244e-06, + "loss": 0.6298, + "step": 9299 + }, + { + "epoch": 0.63, + "learning_rate": 3.1386193634218406e-06, + "loss": 0.6609, + "step": 9300 + }, + { + "epoch": 0.63, + "learning_rate": 3.1375967580514265e-06, + "loss": 0.4904, + "step": 9301 + }, + { + "epoch": 0.63, + "learning_rate": 3.136574243124664e-06, + "loss": 0.8546, + "step": 9302 + }, + { + "epoch": 0.63, + "learning_rate": 3.135551818691211e-06, + "loss": 0.4547, + "step": 9303 + }, + { + "epoch": 0.63, + "learning_rate": 3.134529484800718e-06, + "loss": 0.7463, + "step": 9304 + }, + { + "epoch": 0.63, + "learning_rate": 3.133507241502832e-06, + "loss": 0.8148, + "step": 9305 + }, + { + "epoch": 0.63, + "learning_rate": 3.1324850888471945e-06, + "loss": 0.846, + "step": 9306 + }, + { + "epoch": 0.63, + "learning_rate": 3.131463026883449e-06, + "loss": 0.7698, + "step": 9307 + }, + { + "epoch": 0.63, + "learning_rate": 3.1304410556612253e-06, + "loss": 0.67, + "step": 9308 + }, + { + "epoch": 0.63, + "learning_rate": 3.129419175230154e-06, + "loss": 0.6035, + "step": 9309 + }, + { + "epoch": 0.63, + "learning_rate": 3.1283973856398632e-06, + "loss": 1.083, + "step": 9310 + }, + { + "epoch": 0.63, + "learning_rate": 3.127375686939971e-06, + "loss": 0.658, + "step": 9311 + }, + { + "epoch": 0.63, + "learning_rate": 3.1263540791800947e-06, + "loss": 0.6722, + "step": 9312 + }, + { + "epoch": 0.63, + "learning_rate": 3.1253325624098485e-06, + "loss": 0.8523, + "step": 9313 + }, + { + "epoch": 0.63, + "learning_rate": 3.1243111366788394e-06, + "loss": 0.8792, + "step": 9314 + }, + { + "epoch": 0.63, + "learning_rate": 3.123289802036667e-06, + "loss": 0.7862, + "step": 9315 + }, + { + "epoch": 0.63, + "learning_rate": 3.1222685585329347e-06, + "loss": 0.726, + "step": 9316 + }, + { + "epoch": 0.63, + "learning_rate": 3.1212474062172365e-06, + "loss": 0.6652, + "step": 9317 + }, + { + "epoch": 0.63, + "learning_rate": 3.1202263451391603e-06, + "loss": 0.5915, + "step": 9318 + }, + { + "epoch": 0.63, + "learning_rate": 3.119205375348293e-06, + "loss": 0.6345, + "step": 9319 + }, + { + "epoch": 0.63, + "learning_rate": 3.118184496894217e-06, + "loss": 0.896, + "step": 9320 + }, + { + "epoch": 0.63, + "learning_rate": 3.1171637098265063e-06, + "loss": 0.4336, + "step": 9321 + }, + { + "epoch": 0.63, + "learning_rate": 3.116143014194736e-06, + "loss": 0.6942, + "step": 9322 + }, + { + "epoch": 0.63, + "learning_rate": 3.1151224100484734e-06, + "loss": 0.8075, + "step": 9323 + }, + { + "epoch": 0.63, + "learning_rate": 3.1141018974372816e-06, + "loss": 0.637, + "step": 9324 + }, + { + "epoch": 0.63, + "learning_rate": 3.1130814764107174e-06, + "loss": 0.7749, + "step": 9325 + }, + { + "epoch": 0.63, + "learning_rate": 3.112061147018339e-06, + "loss": 0.9033, + "step": 9326 + }, + { + "epoch": 0.63, + "learning_rate": 3.111040909309696e-06, + "loss": 0.7367, + "step": 9327 + }, + { + "epoch": 0.63, + "learning_rate": 3.110020763334331e-06, + "loss": 0.6351, + "step": 9328 + }, + { + "epoch": 0.63, + "learning_rate": 3.1090007091417884e-06, + "loss": 0.6594, + "step": 9329 + }, + { + "epoch": 0.63, + "learning_rate": 3.1079807467816043e-06, + "loss": 0.6364, + "step": 9330 + }, + { + "epoch": 0.63, + "learning_rate": 3.106960876303309e-06, + "loss": 0.8337, + "step": 9331 + }, + { + "epoch": 0.63, + "learning_rate": 3.1059410977564323e-06, + "loss": 0.6025, + "step": 9332 + }, + { + "epoch": 0.63, + "learning_rate": 3.104921411190499e-06, + "loss": 0.7069, + "step": 9333 + }, + { + "epoch": 0.64, + "learning_rate": 3.103901816655024e-06, + "loss": 0.7993, + "step": 9334 + }, + { + "epoch": 0.64, + "learning_rate": 3.102882314199526e-06, + "loss": 0.9179, + "step": 9335 + }, + { + "epoch": 0.64, + "learning_rate": 3.1018629038735117e-06, + "loss": 0.5337, + "step": 9336 + }, + { + "epoch": 0.64, + "learning_rate": 3.1008435857264862e-06, + "loss": 0.8866, + "step": 9337 + }, + { + "epoch": 0.64, + "learning_rate": 3.0998243598079546e-06, + "loss": 0.7464, + "step": 9338 + }, + { + "epoch": 0.64, + "learning_rate": 3.09880522616741e-06, + "loss": 0.8099, + "step": 9339 + }, + { + "epoch": 0.64, + "learning_rate": 3.0977861848543446e-06, + "loss": 0.664, + "step": 9340 + }, + { + "epoch": 0.64, + "learning_rate": 3.096767235918249e-06, + "loss": 0.8829, + "step": 9341 + }, + { + "epoch": 0.64, + "learning_rate": 3.095748379408603e-06, + "loss": 0.8241, + "step": 9342 + }, + { + "epoch": 0.64, + "learning_rate": 3.0947296153748864e-06, + "loss": 1.0216, + "step": 9343 + }, + { + "epoch": 0.64, + "learning_rate": 3.093710943866571e-06, + "loss": 0.839, + "step": 9344 + }, + { + "epoch": 0.64, + "learning_rate": 3.092692364933132e-06, + "loss": 0.6963, + "step": 9345 + }, + { + "epoch": 0.64, + "learning_rate": 3.091673878624029e-06, + "loss": 0.8319, + "step": 9346 + }, + { + "epoch": 0.64, + "learning_rate": 3.090655484988724e-06, + "loss": 0.9818, + "step": 9347 + }, + { + "epoch": 0.64, + "learning_rate": 3.0896371840766758e-06, + "loss": 0.744, + "step": 9348 + }, + { + "epoch": 0.64, + "learning_rate": 3.0886189759373337e-06, + "loss": 0.9705, + "step": 9349 + }, + { + "epoch": 0.64, + "learning_rate": 3.0876008606201433e-06, + "loss": 0.7518, + "step": 9350 + }, + { + "epoch": 0.64, + "learning_rate": 3.0865828381745515e-06, + "loss": 0.8422, + "step": 9351 + }, + { + "epoch": 0.64, + "learning_rate": 3.085564908649994e-06, + "loss": 0.7021, + "step": 9352 + }, + { + "epoch": 0.64, + "learning_rate": 3.0845470720959027e-06, + "loss": 0.719, + "step": 9353 + }, + { + "epoch": 0.64, + "learning_rate": 3.0835293285617085e-06, + "loss": 0.9409, + "step": 9354 + }, + { + "epoch": 0.64, + "learning_rate": 3.082511678096838e-06, + "loss": 0.6649, + "step": 9355 + }, + { + "epoch": 0.64, + "learning_rate": 3.0814941207507053e-06, + "loss": 0.8613, + "step": 9356 + }, + { + "epoch": 0.64, + "learning_rate": 3.080476656572732e-06, + "loss": 0.7697, + "step": 9357 + }, + { + "epoch": 0.64, + "learning_rate": 3.0794592856123272e-06, + "loss": 1.0087, + "step": 9358 + }, + { + "epoch": 0.64, + "learning_rate": 3.078442007918895e-06, + "loss": 0.7143, + "step": 9359 + }, + { + "epoch": 0.64, + "learning_rate": 3.07742482354184e-06, + "loss": 0.5353, + "step": 9360 + }, + { + "epoch": 0.64, + "learning_rate": 3.07640773253056e-06, + "loss": 0.5866, + "step": 9361 + }, + { + "epoch": 0.64, + "learning_rate": 3.075390734934446e-06, + "loss": 0.6556, + "step": 9362 + }, + { + "epoch": 0.64, + "learning_rate": 3.074373830802886e-06, + "loss": 0.7284, + "step": 9363 + }, + { + "epoch": 0.64, + "learning_rate": 3.073357020185265e-06, + "loss": 0.7705, + "step": 9364 + }, + { + "epoch": 0.64, + "learning_rate": 3.0723403031309636e-06, + "loss": 0.8619, + "step": 9365 + }, + { + "epoch": 0.64, + "learning_rate": 3.071323679689352e-06, + "loss": 0.8196, + "step": 9366 + }, + { + "epoch": 0.64, + "learning_rate": 3.070307149909805e-06, + "loss": 0.6272, + "step": 9367 + }, + { + "epoch": 0.64, + "learning_rate": 3.0692907138416874e-06, + "loss": 0.6199, + "step": 9368 + }, + { + "epoch": 0.64, + "learning_rate": 3.0682743715343565e-06, + "loss": 0.8097, + "step": 9369 + }, + { + "epoch": 0.64, + "learning_rate": 3.0672581230371747e-06, + "loss": 0.8447, + "step": 9370 + }, + { + "epoch": 0.64, + "learning_rate": 3.0662419683994893e-06, + "loss": 0.6374, + "step": 9371 + }, + { + "epoch": 0.64, + "learning_rate": 3.065225907670648e-06, + "loss": 0.6762, + "step": 9372 + }, + { + "epoch": 0.64, + "learning_rate": 3.0642099408999982e-06, + "loss": 0.5683, + "step": 9373 + }, + { + "epoch": 0.64, + "learning_rate": 3.0631940681368723e-06, + "loss": 0.8184, + "step": 9374 + }, + { + "epoch": 0.64, + "learning_rate": 3.062178289430606e-06, + "loss": 0.7486, + "step": 9375 + }, + { + "epoch": 0.64, + "learning_rate": 3.061162604830531e-06, + "loss": 0.6726, + "step": 9376 + }, + { + "epoch": 0.64, + "learning_rate": 3.060147014385969e-06, + "loss": 0.5084, + "step": 9377 + }, + { + "epoch": 0.64, + "learning_rate": 3.05913151814624e-06, + "loss": 0.6977, + "step": 9378 + }, + { + "epoch": 0.64, + "learning_rate": 3.0581161161606623e-06, + "loss": 0.996, + "step": 9379 + }, + { + "epoch": 0.64, + "learning_rate": 3.0571008084785443e-06, + "loss": 0.6238, + "step": 9380 + }, + { + "epoch": 0.64, + "learning_rate": 3.056085595149192e-06, + "loss": 0.7006, + "step": 9381 + }, + { + "epoch": 0.64, + "learning_rate": 3.055070476221906e-06, + "loss": 0.9397, + "step": 9382 + }, + { + "epoch": 0.64, + "learning_rate": 3.0540554517459874e-06, + "loss": 0.5825, + "step": 9383 + }, + { + "epoch": 0.64, + "learning_rate": 3.053040521770726e-06, + "loss": 0.7112, + "step": 9384 + }, + { + "epoch": 0.64, + "learning_rate": 3.0520256863454077e-06, + "loss": 0.6768, + "step": 9385 + }, + { + "epoch": 0.64, + "learning_rate": 3.0510109455193217e-06, + "loss": 0.9407, + "step": 9386 + }, + { + "epoch": 0.64, + "learning_rate": 3.049996299341742e-06, + "loss": 0.8095, + "step": 9387 + }, + { + "epoch": 0.64, + "learning_rate": 3.0489817478619428e-06, + "loss": 0.7415, + "step": 9388 + }, + { + "epoch": 0.64, + "learning_rate": 3.047967291129197e-06, + "loss": 0.6095, + "step": 9389 + }, + { + "epoch": 0.64, + "learning_rate": 3.046952929192767e-06, + "loss": 0.6274, + "step": 9390 + }, + { + "epoch": 0.64, + "learning_rate": 3.0459386621019114e-06, + "loss": 0.7646, + "step": 9391 + }, + { + "epoch": 0.64, + "learning_rate": 3.0449244899058895e-06, + "loss": 0.7602, + "step": 9392 + }, + { + "epoch": 0.64, + "learning_rate": 3.043910412653952e-06, + "loss": 0.8095, + "step": 9393 + }, + { + "epoch": 0.64, + "learning_rate": 3.042896430395342e-06, + "loss": 0.5893, + "step": 9394 + }, + { + "epoch": 0.64, + "learning_rate": 3.0418825431793054e-06, + "loss": 0.5893, + "step": 9395 + }, + { + "epoch": 0.64, + "learning_rate": 3.0408687510550777e-06, + "loss": 0.7058, + "step": 9396 + }, + { + "epoch": 0.64, + "learning_rate": 3.0398550540718908e-06, + "loss": 0.6863, + "step": 9397 + }, + { + "epoch": 0.64, + "learning_rate": 3.0388414522789733e-06, + "loss": 0.8466, + "step": 9398 + }, + { + "epoch": 0.64, + "learning_rate": 3.037827945725551e-06, + "loss": 0.6901, + "step": 9399 + }, + { + "epoch": 0.64, + "learning_rate": 3.03681453446084e-06, + "loss": 0.5322, + "step": 9400 + }, + { + "epoch": 0.64, + "learning_rate": 3.035801218534054e-06, + "loss": 0.7043, + "step": 9401 + }, + { + "epoch": 0.64, + "learning_rate": 3.034787997994404e-06, + "loss": 0.7929, + "step": 9402 + }, + { + "epoch": 0.64, + "learning_rate": 3.0337748728910956e-06, + "loss": 0.8676, + "step": 9403 + }, + { + "epoch": 0.64, + "learning_rate": 3.032761843273326e-06, + "loss": 0.698, + "step": 9404 + }, + { + "epoch": 0.64, + "learning_rate": 3.0317489091902936e-06, + "loss": 0.7947, + "step": 9405 + }, + { + "epoch": 0.64, + "learning_rate": 3.0307360706911897e-06, + "loss": 0.5546, + "step": 9406 + }, + { + "epoch": 0.64, + "learning_rate": 3.029723327825198e-06, + "loss": 0.5751, + "step": 9407 + }, + { + "epoch": 0.64, + "learning_rate": 3.0287106806415035e-06, + "loss": 0.6838, + "step": 9408 + }, + { + "epoch": 0.64, + "learning_rate": 3.02769812918928e-06, + "loss": 0.8624, + "step": 9409 + }, + { + "epoch": 0.64, + "learning_rate": 3.026685673517701e-06, + "loss": 0.6033, + "step": 9410 + }, + { + "epoch": 0.64, + "learning_rate": 3.0256733136759363e-06, + "loss": 0.7393, + "step": 9411 + }, + { + "epoch": 0.64, + "learning_rate": 3.0246610497131463e-06, + "loss": 0.5112, + "step": 9412 + }, + { + "epoch": 0.64, + "learning_rate": 3.0236488816784894e-06, + "loss": 0.4878, + "step": 9413 + }, + { + "epoch": 0.64, + "learning_rate": 3.0226368096211234e-06, + "loss": 0.6677, + "step": 9414 + }, + { + "epoch": 0.64, + "learning_rate": 3.021624833590193e-06, + "loss": 0.7485, + "step": 9415 + }, + { + "epoch": 0.64, + "learning_rate": 3.020612953634845e-06, + "loss": 0.529, + "step": 9416 + }, + { + "epoch": 0.64, + "learning_rate": 3.019601169804216e-06, + "loss": 0.3841, + "step": 9417 + }, + { + "epoch": 0.64, + "learning_rate": 3.018589482147446e-06, + "loss": 0.7674, + "step": 9418 + }, + { + "epoch": 0.64, + "learning_rate": 3.0175778907136623e-06, + "loss": 0.7165, + "step": 9419 + }, + { + "epoch": 0.64, + "learning_rate": 3.0165663955519896e-06, + "loss": 0.7202, + "step": 9420 + }, + { + "epoch": 0.64, + "learning_rate": 3.0155549967115536e-06, + "loss": 0.9044, + "step": 9421 + }, + { + "epoch": 0.64, + "learning_rate": 3.0145436942414662e-06, + "loss": 0.6381, + "step": 9422 + }, + { + "epoch": 0.64, + "learning_rate": 3.0135324881908405e-06, + "loss": 0.6838, + "step": 9423 + }, + { + "epoch": 0.64, + "learning_rate": 3.012521378608786e-06, + "loss": 0.7581, + "step": 9424 + }, + { + "epoch": 0.64, + "learning_rate": 3.0115103655444017e-06, + "loss": 0.7557, + "step": 9425 + }, + { + "epoch": 0.64, + "learning_rate": 3.0104994490467853e-06, + "loss": 0.8288, + "step": 9426 + }, + { + "epoch": 0.64, + "learning_rate": 3.0094886291650337e-06, + "loss": 0.6646, + "step": 9427 + }, + { + "epoch": 0.64, + "learning_rate": 3.008477905948232e-06, + "loss": 0.8355, + "step": 9428 + }, + { + "epoch": 0.64, + "learning_rate": 3.007467279445463e-06, + "loss": 1.0899, + "step": 9429 + }, + { + "epoch": 0.64, + "learning_rate": 3.0064567497058085e-06, + "loss": 0.6069, + "step": 9430 + }, + { + "epoch": 0.64, + "learning_rate": 3.005446316778341e-06, + "loss": 0.6017, + "step": 9431 + }, + { + "epoch": 0.64, + "learning_rate": 3.0044359807121295e-06, + "loss": 0.6432, + "step": 9432 + }, + { + "epoch": 0.64, + "learning_rate": 3.00342574155624e-06, + "loss": 0.5805, + "step": 9433 + }, + { + "epoch": 0.64, + "learning_rate": 3.002415599359734e-06, + "loss": 0.9452, + "step": 9434 + }, + { + "epoch": 0.64, + "learning_rate": 3.0014055541716637e-06, + "loss": 0.7352, + "step": 9435 + }, + { + "epoch": 0.64, + "learning_rate": 3.00039560604108e-06, + "loss": 0.5404, + "step": 9436 + }, + { + "epoch": 0.64, + "learning_rate": 2.9993857550170323e-06, + "loss": 0.5885, + "step": 9437 + }, + { + "epoch": 0.64, + "learning_rate": 2.9983760011485607e-06, + "loss": 0.7649, + "step": 9438 + }, + { + "epoch": 0.64, + "learning_rate": 2.997366344484698e-06, + "loss": 0.7305, + "step": 9439 + }, + { + "epoch": 0.64, + "learning_rate": 2.9963567850744797e-06, + "loss": 0.7529, + "step": 9440 + }, + { + "epoch": 0.64, + "learning_rate": 2.995347322966933e-06, + "loss": 0.6085, + "step": 9441 + }, + { + "epoch": 0.64, + "learning_rate": 2.9943379582110778e-06, + "loss": 0.7809, + "step": 9442 + }, + { + "epoch": 0.64, + "learning_rate": 2.9933286908559335e-06, + "loss": 0.7181, + "step": 9443 + }, + { + "epoch": 0.64, + "learning_rate": 2.992319520950514e-06, + "loss": 0.7192, + "step": 9444 + }, + { + "epoch": 0.64, + "learning_rate": 2.991310448543825e-06, + "loss": 0.8031, + "step": 9445 + }, + { + "epoch": 0.64, + "learning_rate": 2.9903014736848724e-06, + "loss": 0.8306, + "step": 9446 + }, + { + "epoch": 0.64, + "learning_rate": 2.9892925964226527e-06, + "loss": 0.6583, + "step": 9447 + }, + { + "epoch": 0.64, + "learning_rate": 2.9882838168061606e-06, + "loss": 0.642, + "step": 9448 + }, + { + "epoch": 0.64, + "learning_rate": 2.9872751348843875e-06, + "loss": 0.9416, + "step": 9449 + }, + { + "epoch": 0.64, + "learning_rate": 2.986266550706315e-06, + "loss": 0.6578, + "step": 9450 + }, + { + "epoch": 0.64, + "learning_rate": 2.985258064320922e-06, + "loss": 0.8694, + "step": 9451 + }, + { + "epoch": 0.64, + "learning_rate": 2.9842496757771883e-06, + "loss": 0.8275, + "step": 9452 + }, + { + "epoch": 0.64, + "learning_rate": 2.9832413851240803e-06, + "loss": 0.9497, + "step": 9453 + }, + { + "epoch": 0.64, + "learning_rate": 2.982233192410565e-06, + "loss": 0.9408, + "step": 9454 + }, + { + "epoch": 0.64, + "learning_rate": 2.9812250976856006e-06, + "loss": 0.8483, + "step": 9455 + }, + { + "epoch": 0.64, + "learning_rate": 2.9802171009981475e-06, + "loss": 0.915, + "step": 9456 + }, + { + "epoch": 0.64, + "learning_rate": 2.979209202397153e-06, + "loss": 0.7649, + "step": 9457 + }, + { + "epoch": 0.64, + "learning_rate": 2.9782014019315635e-06, + "loss": 0.7925, + "step": 9458 + }, + { + "epoch": 0.64, + "learning_rate": 2.977193699650325e-06, + "loss": 0.6853, + "step": 9459 + }, + { + "epoch": 0.64, + "learning_rate": 2.97618609560237e-06, + "loss": 0.5868, + "step": 9460 + }, + { + "epoch": 0.64, + "learning_rate": 2.975178589836632e-06, + "loss": 0.6482, + "step": 9461 + }, + { + "epoch": 0.64, + "learning_rate": 2.9741711824020405e-06, + "loss": 0.3434, + "step": 9462 + }, + { + "epoch": 0.64, + "learning_rate": 2.9731638733475142e-06, + "loss": 0.6372, + "step": 9463 + }, + { + "epoch": 0.64, + "learning_rate": 2.9721566627219734e-06, + "loss": 0.6815, + "step": 9464 + }, + { + "epoch": 0.64, + "learning_rate": 2.9711495505743317e-06, + "loss": 0.8231, + "step": 9465 + }, + { + "epoch": 0.64, + "learning_rate": 2.9701425369534964e-06, + "loss": 0.8274, + "step": 9466 + }, + { + "epoch": 0.64, + "learning_rate": 2.9691356219083687e-06, + "loss": 0.6602, + "step": 9467 + }, + { + "epoch": 0.64, + "learning_rate": 2.968128805487851e-06, + "loss": 0.4782, + "step": 9468 + }, + { + "epoch": 0.64, + "learning_rate": 2.9671220877408367e-06, + "loss": 0.9309, + "step": 9469 + }, + { + "epoch": 0.64, + "learning_rate": 2.9661154687162117e-06, + "loss": 0.846, + "step": 9470 + }, + { + "epoch": 0.64, + "learning_rate": 2.965108948462864e-06, + "loss": 0.7438, + "step": 9471 + }, + { + "epoch": 0.64, + "learning_rate": 2.9641025270296725e-06, + "loss": 0.7184, + "step": 9472 + }, + { + "epoch": 0.64, + "learning_rate": 2.9630962044655097e-06, + "loss": 0.6935, + "step": 9473 + }, + { + "epoch": 0.64, + "learning_rate": 2.962089980819246e-06, + "loss": 0.7412, + "step": 9474 + }, + { + "epoch": 0.64, + "learning_rate": 2.9610838561397492e-06, + "loss": 0.7166, + "step": 9475 + }, + { + "epoch": 0.64, + "learning_rate": 2.960077830475878e-06, + "loss": 0.6424, + "step": 9476 + }, + { + "epoch": 0.64, + "learning_rate": 2.959071903876486e-06, + "loss": 0.9014, + "step": 9477 + }, + { + "epoch": 0.64, + "learning_rate": 2.9580660763904257e-06, + "loss": 0.3998, + "step": 9478 + }, + { + "epoch": 0.64, + "learning_rate": 2.957060348066545e-06, + "loss": 0.9055, + "step": 9479 + }, + { + "epoch": 0.64, + "learning_rate": 2.9560547189536797e-06, + "loss": 0.9623, + "step": 9480 + }, + { + "epoch": 0.65, + "learning_rate": 2.9550491891006704e-06, + "loss": 0.6866, + "step": 9481 + }, + { + "epoch": 0.65, + "learning_rate": 2.9540437585563487e-06, + "loss": 0.8144, + "step": 9482 + }, + { + "epoch": 0.65, + "learning_rate": 2.9530384273695373e-06, + "loss": 0.6343, + "step": 9483 + }, + { + "epoch": 0.65, + "learning_rate": 2.9520331955890624e-06, + "loss": 0.785, + "step": 9484 + }, + { + "epoch": 0.65, + "learning_rate": 2.9510280632637386e-06, + "loss": 0.5062, + "step": 9485 + }, + { + "epoch": 0.65, + "learning_rate": 2.9500230304423765e-06, + "loss": 1.0155, + "step": 9486 + }, + { + "epoch": 0.65, + "learning_rate": 2.9490180971737882e-06, + "loss": 0.8475, + "step": 9487 + }, + { + "epoch": 0.65, + "learning_rate": 2.9480132635067717e-06, + "loss": 0.7869, + "step": 9488 + }, + { + "epoch": 0.65, + "learning_rate": 2.9470085294901244e-06, + "loss": 0.6848, + "step": 9489 + }, + { + "epoch": 0.65, + "learning_rate": 2.946003895172643e-06, + "loss": 0.6592, + "step": 9490 + }, + { + "epoch": 0.65, + "learning_rate": 2.9449993606031137e-06, + "loss": 0.7123, + "step": 9491 + }, + { + "epoch": 0.65, + "learning_rate": 2.9439949258303187e-06, + "loss": 0.7218, + "step": 9492 + }, + { + "epoch": 0.65, + "learning_rate": 2.942990590903035e-06, + "loss": 0.6889, + "step": 9493 + }, + { + "epoch": 0.65, + "learning_rate": 2.9419863558700397e-06, + "loss": 0.6959, + "step": 9494 + }, + { + "epoch": 0.65, + "learning_rate": 2.9409822207800976e-06, + "loss": 0.6031, + "step": 9495 + }, + { + "epoch": 0.65, + "learning_rate": 2.9399781856819744e-06, + "loss": 0.5895, + "step": 9496 + }, + { + "epoch": 0.65, + "learning_rate": 2.938974250624429e-06, + "loss": 0.76, + "step": 9497 + }, + { + "epoch": 0.65, + "learning_rate": 2.937970415656215e-06, + "loss": 0.4435, + "step": 9498 + }, + { + "epoch": 0.65, + "learning_rate": 2.93696668082608e-06, + "loss": 0.8779, + "step": 9499 + }, + { + "epoch": 0.65, + "learning_rate": 2.9359630461827714e-06, + "loss": 0.5445, + "step": 9500 + }, + { + "epoch": 0.65, + "learning_rate": 2.9349595117750267e-06, + "loss": 0.8067, + "step": 9501 + }, + { + "epoch": 0.65, + "learning_rate": 2.9339560776515797e-06, + "loss": 0.9286, + "step": 9502 + }, + { + "epoch": 0.65, + "learning_rate": 2.932952743861162e-06, + "loss": 0.7481, + "step": 9503 + }, + { + "epoch": 0.65, + "learning_rate": 2.9319495104524974e-06, + "loss": 0.6224, + "step": 9504 + }, + { + "epoch": 0.65, + "learning_rate": 2.9309463774743047e-06, + "loss": 0.7734, + "step": 9505 + }, + { + "epoch": 0.65, + "learning_rate": 2.9299433449753e-06, + "loss": 1.0021, + "step": 9506 + }, + { + "epoch": 0.65, + "learning_rate": 2.928940413004195e-06, + "loss": 0.7366, + "step": 9507 + }, + { + "epoch": 0.65, + "learning_rate": 2.927937581609691e-06, + "loss": 0.7434, + "step": 9508 + }, + { + "epoch": 0.65, + "learning_rate": 2.9269348508404916e-06, + "loss": 0.8849, + "step": 9509 + }, + { + "epoch": 0.65, + "learning_rate": 2.9259322207452922e-06, + "loss": 0.5642, + "step": 9510 + }, + { + "epoch": 0.65, + "learning_rate": 2.924929691372782e-06, + "loss": 0.7079, + "step": 9511 + }, + { + "epoch": 0.65, + "learning_rate": 2.9239272627716462e-06, + "loss": 0.9265, + "step": 9512 + }, + { + "epoch": 0.65, + "learning_rate": 2.9229249349905686e-06, + "loss": 0.9257, + "step": 9513 + }, + { + "epoch": 0.65, + "learning_rate": 2.921922708078223e-06, + "loss": 0.5522, + "step": 9514 + }, + { + "epoch": 0.65, + "learning_rate": 2.9209205820832788e-06, + "loss": 0.6045, + "step": 9515 + }, + { + "epoch": 0.65, + "learning_rate": 2.9199185570544054e-06, + "loss": 0.6408, + "step": 9516 + }, + { + "epoch": 0.65, + "learning_rate": 2.918916633040263e-06, + "loss": 0.6069, + "step": 9517 + }, + { + "epoch": 0.65, + "learning_rate": 2.917914810089505e-06, + "loss": 0.729, + "step": 9518 + }, + { + "epoch": 0.65, + "learning_rate": 2.916913088250789e-06, + "loss": 0.8608, + "step": 9519 + }, + { + "epoch": 0.65, + "learning_rate": 2.9159114675727553e-06, + "loss": 0.7706, + "step": 9520 + }, + { + "epoch": 0.65, + "learning_rate": 2.9149099481040465e-06, + "loss": 0.6854, + "step": 9521 + }, + { + "epoch": 0.65, + "learning_rate": 2.9139085298933043e-06, + "loss": 0.7619, + "step": 9522 + }, + { + "epoch": 0.65, + "learning_rate": 2.9129072129891558e-06, + "loss": 0.6943, + "step": 9523 + }, + { + "epoch": 0.65, + "learning_rate": 2.9119059974402277e-06, + "loss": 0.8904, + "step": 9524 + }, + { + "epoch": 0.65, + "learning_rate": 2.9109048832951435e-06, + "loss": 0.6164, + "step": 9525 + }, + { + "epoch": 0.65, + "learning_rate": 2.9099038706025197e-06, + "loss": 0.545, + "step": 9526 + }, + { + "epoch": 0.65, + "learning_rate": 2.9089029594109686e-06, + "loss": 0.517, + "step": 9527 + }, + { + "epoch": 0.65, + "learning_rate": 2.9079021497690972e-06, + "loss": 0.7027, + "step": 9528 + }, + { + "epoch": 0.65, + "learning_rate": 2.906901441725507e-06, + "loss": 0.9375, + "step": 9529 + }, + { + "epoch": 0.65, + "learning_rate": 2.9059008353287963e-06, + "loss": 0.8596, + "step": 9530 + }, + { + "epoch": 0.65, + "learning_rate": 2.9049003306275575e-06, + "loss": 0.6611, + "step": 9531 + }, + { + "epoch": 0.65, + "learning_rate": 2.903899927670377e-06, + "loss": 0.6971, + "step": 9532 + }, + { + "epoch": 0.65, + "learning_rate": 2.9028996265058395e-06, + "loss": 0.8445, + "step": 9533 + }, + { + "epoch": 0.65, + "learning_rate": 2.9018994271825172e-06, + "loss": 0.7455, + "step": 9534 + }, + { + "epoch": 0.65, + "learning_rate": 2.9008993297489885e-06, + "loss": 0.6858, + "step": 9535 + }, + { + "epoch": 0.65, + "learning_rate": 2.8998993342538197e-06, + "loss": 0.7969, + "step": 9536 + }, + { + "epoch": 0.65, + "learning_rate": 2.898899440745569e-06, + "loss": 0.7523, + "step": 9537 + }, + { + "epoch": 0.65, + "learning_rate": 2.8978996492727994e-06, + "loss": 0.7442, + "step": 9538 + }, + { + "epoch": 0.65, + "learning_rate": 2.896899959884064e-06, + "loss": 0.7632, + "step": 9539 + }, + { + "epoch": 0.65, + "learning_rate": 2.8959003726279044e-06, + "loss": 0.6863, + "step": 9540 + }, + { + "epoch": 0.65, + "learning_rate": 2.8949008875528706e-06, + "loss": 0.6856, + "step": 9541 + }, + { + "epoch": 0.65, + "learning_rate": 2.893901504707496e-06, + "loss": 0.7337, + "step": 9542 + }, + { + "epoch": 0.65, + "learning_rate": 2.8929022241403126e-06, + "loss": 0.4509, + "step": 9543 + }, + { + "epoch": 0.65, + "learning_rate": 2.891903045899854e-06, + "loss": 0.6692, + "step": 9544 + }, + { + "epoch": 0.65, + "learning_rate": 2.8909039700346385e-06, + "loss": 0.6382, + "step": 9545 + }, + { + "epoch": 0.65, + "learning_rate": 2.889904996593185e-06, + "loss": 0.7815, + "step": 9546 + }, + { + "epoch": 0.65, + "learning_rate": 2.888906125624007e-06, + "loss": 0.8899, + "step": 9547 + }, + { + "epoch": 0.65, + "learning_rate": 2.887907357175612e-06, + "loss": 0.5965, + "step": 9548 + }, + { + "epoch": 0.65, + "learning_rate": 2.886908691296504e-06, + "loss": 0.7671, + "step": 9549 + }, + { + "epoch": 0.65, + "learning_rate": 2.88591012803518e-06, + "loss": 0.6598, + "step": 9550 + }, + { + "epoch": 0.65, + "learning_rate": 2.8849116674401333e-06, + "loss": 0.8138, + "step": 9551 + }, + { + "epoch": 0.65, + "learning_rate": 2.8839133095598527e-06, + "loss": 0.7117, + "step": 9552 + }, + { + "epoch": 0.65, + "learning_rate": 2.88291505444282e-06, + "loss": 0.7955, + "step": 9553 + }, + { + "epoch": 0.65, + "learning_rate": 2.8819169021375154e-06, + "loss": 0.517, + "step": 9554 + }, + { + "epoch": 0.65, + "learning_rate": 2.8809188526924105e-06, + "loss": 0.7575, + "step": 9555 + }, + { + "epoch": 0.65, + "learning_rate": 2.879920906155974e-06, + "loss": 0.9346, + "step": 9556 + }, + { + "epoch": 0.65, + "learning_rate": 2.8789230625766686e-06, + "loss": 0.5271, + "step": 9557 + }, + { + "epoch": 0.65, + "learning_rate": 2.877925322002953e-06, + "loss": 0.7185, + "step": 9558 + }, + { + "epoch": 0.65, + "learning_rate": 2.87692768448328e-06, + "loss": 0.7325, + "step": 9559 + }, + { + "epoch": 0.65, + "learning_rate": 2.8759301500660975e-06, + "loss": 0.5982, + "step": 9560 + }, + { + "epoch": 0.65, + "learning_rate": 2.8749327187998516e-06, + "loss": 0.5276, + "step": 9561 + }, + { + "epoch": 0.65, + "learning_rate": 2.8739353907329736e-06, + "loss": 0.6884, + "step": 9562 + }, + { + "epoch": 0.65, + "learning_rate": 2.8729381659139023e-06, + "loss": 0.7957, + "step": 9563 + }, + { + "epoch": 0.65, + "learning_rate": 2.871941044391067e-06, + "loss": 0.7016, + "step": 9564 + }, + { + "epoch": 0.65, + "learning_rate": 2.8709440262128862e-06, + "loss": 0.5746, + "step": 9565 + }, + { + "epoch": 0.65, + "learning_rate": 2.869947111427777e-06, + "loss": 0.6422, + "step": 9566 + }, + { + "epoch": 0.65, + "learning_rate": 2.86895030008416e-06, + "loss": 0.6683, + "step": 9567 + }, + { + "epoch": 0.65, + "learning_rate": 2.8679535922304367e-06, + "loss": 0.9435, + "step": 9568 + }, + { + "epoch": 0.65, + "learning_rate": 2.8669569879150096e-06, + "loss": 0.6594, + "step": 9569 + }, + { + "epoch": 0.65, + "learning_rate": 2.8659604871862834e-06, + "loss": 0.7651, + "step": 9570 + }, + { + "epoch": 0.65, + "learning_rate": 2.864964090092644e-06, + "loss": 1.0326, + "step": 9571 + }, + { + "epoch": 0.65, + "learning_rate": 2.863967796682482e-06, + "loss": 0.5365, + "step": 9572 + }, + { + "epoch": 0.65, + "learning_rate": 2.862971607004181e-06, + "loss": 0.9501, + "step": 9573 + }, + { + "epoch": 0.65, + "learning_rate": 2.8619755211061175e-06, + "loss": 0.7389, + "step": 9574 + }, + { + "epoch": 0.65, + "learning_rate": 2.8609795390366645e-06, + "loss": 0.5181, + "step": 9575 + }, + { + "epoch": 0.65, + "learning_rate": 2.859983660844191e-06, + "loss": 0.7802, + "step": 9576 + }, + { + "epoch": 0.65, + "learning_rate": 2.858987886577058e-06, + "loss": 0.6893, + "step": 9577 + }, + { + "epoch": 0.65, + "learning_rate": 2.8579922162836245e-06, + "loss": 0.5418, + "step": 9578 + }, + { + "epoch": 0.65, + "learning_rate": 2.8569966500122424e-06, + "loss": 0.9092, + "step": 9579 + }, + { + "epoch": 0.65, + "learning_rate": 2.8560011878112594e-06, + "loss": 1.0023, + "step": 9580 + }, + { + "epoch": 0.65, + "learning_rate": 2.855005829729018e-06, + "loss": 0.7112, + "step": 9581 + }, + { + "epoch": 0.65, + "learning_rate": 2.854010575813856e-06, + "loss": 0.5588, + "step": 9582 + }, + { + "epoch": 0.65, + "learning_rate": 2.8530154261141054e-06, + "loss": 0.5567, + "step": 9583 + }, + { + "epoch": 0.65, + "learning_rate": 2.852020380678095e-06, + "loss": 0.6105, + "step": 9584 + }, + { + "epoch": 0.65, + "learning_rate": 2.851025439554142e-06, + "loss": 0.9037, + "step": 9585 + }, + { + "epoch": 0.65, + "learning_rate": 2.850030602790569e-06, + "loss": 0.6649, + "step": 9586 + }, + { + "epoch": 0.65, + "learning_rate": 2.8490358704356892e-06, + "loss": 0.9631, + "step": 9587 + }, + { + "epoch": 0.65, + "learning_rate": 2.8480412425378024e-06, + "loss": 0.8637, + "step": 9588 + }, + { + "epoch": 0.65, + "learning_rate": 2.847046719145219e-06, + "loss": 0.7027, + "step": 9589 + }, + { + "epoch": 0.65, + "learning_rate": 2.8460523003062303e-06, + "loss": 0.7003, + "step": 9590 + }, + { + "epoch": 0.65, + "learning_rate": 2.8450579860691276e-06, + "loss": 0.7202, + "step": 9591 + }, + { + "epoch": 0.65, + "learning_rate": 2.844063776482203e-06, + "loss": 0.7116, + "step": 9592 + }, + { + "epoch": 0.65, + "learning_rate": 2.843069671593734e-06, + "loss": 0.5499, + "step": 9593 + }, + { + "epoch": 0.65, + "learning_rate": 2.842075671451996e-06, + "loss": 0.6986, + "step": 9594 + }, + { + "epoch": 0.65, + "learning_rate": 2.841081776105267e-06, + "loss": 0.9924, + "step": 9595 + }, + { + "epoch": 0.65, + "learning_rate": 2.8400879856018064e-06, + "loss": 0.8121, + "step": 9596 + }, + { + "epoch": 0.65, + "learning_rate": 2.839094299989877e-06, + "loss": 0.9104, + "step": 9597 + }, + { + "epoch": 0.65, + "learning_rate": 2.83810071931774e-06, + "loss": 0.6548, + "step": 9598 + }, + { + "epoch": 0.65, + "learning_rate": 2.8371072436336412e-06, + "loss": 0.6494, + "step": 9599 + }, + { + "epoch": 0.65, + "learning_rate": 2.836113872985827e-06, + "loss": 0.7159, + "step": 9600 + }, + { + "epoch": 0.65, + "learning_rate": 2.8351206074225408e-06, + "loss": 0.5768, + "step": 9601 + }, + { + "epoch": 0.65, + "learning_rate": 2.8341274469920165e-06, + "loss": 0.5857, + "step": 9602 + }, + { + "epoch": 0.65, + "learning_rate": 2.8331343917424857e-06, + "loss": 0.7149, + "step": 9603 + }, + { + "epoch": 0.65, + "learning_rate": 2.832141441722175e-06, + "loss": 0.8547, + "step": 9604 + }, + { + "epoch": 0.65, + "learning_rate": 2.831148596979302e-06, + "loss": 0.8962, + "step": 9605 + }, + { + "epoch": 0.65, + "learning_rate": 2.8301558575620846e-06, + "loss": 0.6024, + "step": 9606 + }, + { + "epoch": 0.65, + "learning_rate": 2.8291632235187328e-06, + "loss": 0.9356, + "step": 9607 + }, + { + "epoch": 0.65, + "learning_rate": 2.828170694897451e-06, + "loss": 0.5815, + "step": 9608 + }, + { + "epoch": 0.65, + "learning_rate": 2.8271782717464413e-06, + "loss": 0.7653, + "step": 9609 + }, + { + "epoch": 0.65, + "learning_rate": 2.8261859541138927e-06, + "loss": 0.7455, + "step": 9610 + }, + { + "epoch": 0.65, + "learning_rate": 2.8251937420480014e-06, + "loss": 0.7397, + "step": 9611 + }, + { + "epoch": 0.65, + "learning_rate": 2.8242016355969517e-06, + "loss": 0.7349, + "step": 9612 + }, + { + "epoch": 0.65, + "learning_rate": 2.8232096348089172e-06, + "loss": 0.6773, + "step": 9613 + }, + { + "epoch": 0.65, + "learning_rate": 2.8222177397320782e-06, + "loss": 0.7839, + "step": 9614 + }, + { + "epoch": 0.65, + "learning_rate": 2.8212259504146045e-06, + "loss": 0.9624, + "step": 9615 + }, + { + "epoch": 0.65, + "learning_rate": 2.8202342669046538e-06, + "loss": 0.4796, + "step": 9616 + }, + { + "epoch": 0.65, + "learning_rate": 2.8192426892503933e-06, + "loss": 0.7189, + "step": 9617 + }, + { + "epoch": 0.65, + "learning_rate": 2.818251217499971e-06, + "loss": 0.5659, + "step": 9618 + }, + { + "epoch": 0.65, + "learning_rate": 2.817259851701535e-06, + "loss": 0.7657, + "step": 9619 + }, + { + "epoch": 0.65, + "learning_rate": 2.8162685919032346e-06, + "loss": 0.7514, + "step": 9620 + }, + { + "epoch": 0.65, + "learning_rate": 2.8152774381532033e-06, + "loss": 0.7058, + "step": 9621 + }, + { + "epoch": 0.65, + "learning_rate": 2.814286390499576e-06, + "loss": 0.7612, + "step": 9622 + }, + { + "epoch": 0.65, + "learning_rate": 2.8132954489904808e-06, + "loss": 0.5447, + "step": 9623 + }, + { + "epoch": 0.65, + "learning_rate": 2.8123046136740407e-06, + "loss": 0.7428, + "step": 9624 + }, + { + "epoch": 0.65, + "learning_rate": 2.811313884598373e-06, + "loss": 0.9026, + "step": 9625 + }, + { + "epoch": 0.65, + "learning_rate": 2.8103232618115906e-06, + "loss": 0.7235, + "step": 9626 + }, + { + "epoch": 0.66, + "learning_rate": 2.809332745361802e-06, + "loss": 0.6762, + "step": 9627 + }, + { + "epoch": 0.66, + "learning_rate": 2.8083423352971085e-06, + "loss": 0.7702, + "step": 9628 + }, + { + "epoch": 0.66, + "learning_rate": 2.8073520316656067e-06, + "loss": 0.8311, + "step": 9629 + }, + { + "epoch": 0.66, + "learning_rate": 2.8063618345153897e-06, + "loss": 0.7848, + "step": 9630 + }, + { + "epoch": 0.66, + "learning_rate": 2.805371743894544e-06, + "loss": 0.9522, + "step": 9631 + }, + { + "epoch": 0.66, + "learning_rate": 2.8043817598511514e-06, + "loss": 0.6126, + "step": 9632 + }, + { + "epoch": 0.66, + "learning_rate": 2.803391882433288e-06, + "loss": 0.6768, + "step": 9633 + }, + { + "epoch": 0.66, + "learning_rate": 2.802402111689025e-06, + "loss": 0.9119, + "step": 9634 + }, + { + "epoch": 0.66, + "learning_rate": 2.801412447666429e-06, + "loss": 0.9222, + "step": 9635 + }, + { + "epoch": 0.66, + "learning_rate": 2.8004228904135606e-06, + "loss": 0.9093, + "step": 9636 + }, + { + "epoch": 0.66, + "learning_rate": 2.7994334399784773e-06, + "loss": 0.4846, + "step": 9637 + }, + { + "epoch": 0.66, + "learning_rate": 2.7984440964092245e-06, + "loss": 0.8022, + "step": 9638 + }, + { + "epoch": 0.66, + "learning_rate": 2.797454859753853e-06, + "loss": 0.7066, + "step": 9639 + }, + { + "epoch": 0.66, + "learning_rate": 2.7964657300604026e-06, + "loss": 0.9855, + "step": 9640 + }, + { + "epoch": 0.66, + "learning_rate": 2.795476707376905e-06, + "loss": 0.8, + "step": 9641 + }, + { + "epoch": 0.66, + "learning_rate": 2.79448779175139e-06, + "loss": 0.4999, + "step": 9642 + }, + { + "epoch": 0.66, + "learning_rate": 2.793498983231888e-06, + "loss": 0.8588, + "step": 9643 + }, + { + "epoch": 0.66, + "learning_rate": 2.7925102818664112e-06, + "loss": 0.8219, + "step": 9644 + }, + { + "epoch": 0.66, + "learning_rate": 2.7915216877029754e-06, + "loss": 1.1701, + "step": 9645 + }, + { + "epoch": 0.66, + "learning_rate": 2.790533200789595e-06, + "loss": 0.6473, + "step": 9646 + }, + { + "epoch": 0.66, + "learning_rate": 2.789544821174268e-06, + "loss": 0.8177, + "step": 9647 + }, + { + "epoch": 0.66, + "learning_rate": 2.7885565489049948e-06, + "loss": 0.5164, + "step": 9648 + }, + { + "epoch": 0.66, + "learning_rate": 2.7875683840297684e-06, + "loss": 0.7437, + "step": 9649 + }, + { + "epoch": 0.66, + "learning_rate": 2.786580326596577e-06, + "loss": 0.6753, + "step": 9650 + }, + { + "epoch": 0.66, + "learning_rate": 2.7855923766534037e-06, + "loss": 0.6175, + "step": 9651 + }, + { + "epoch": 0.66, + "learning_rate": 2.7846045342482265e-06, + "loss": 0.8044, + "step": 9652 + }, + { + "epoch": 0.66, + "learning_rate": 2.7836167994290175e-06, + "loss": 0.7154, + "step": 9653 + }, + { + "epoch": 0.66, + "learning_rate": 2.7826291722437437e-06, + "loss": 0.6132, + "step": 9654 + }, + { + "epoch": 0.66, + "learning_rate": 2.781641652740368e-06, + "loss": 0.7804, + "step": 9655 + }, + { + "epoch": 0.66, + "learning_rate": 2.7806542409668457e-06, + "loss": 0.6479, + "step": 9656 + }, + { + "epoch": 0.66, + "learning_rate": 2.7796669369711294e-06, + "loss": 0.5647, + "step": 9657 + }, + { + "epoch": 0.66, + "learning_rate": 2.7786797408011656e-06, + "loss": 0.7457, + "step": 9658 + }, + { + "epoch": 0.66, + "learning_rate": 2.7776926525048953e-06, + "loss": 0.7059, + "step": 9659 + }, + { + "epoch": 0.66, + "learning_rate": 2.7767056721302553e-06, + "loss": 0.7677, + "step": 9660 + }, + { + "epoch": 0.66, + "learning_rate": 2.7757187997251717e-06, + "loss": 0.7411, + "step": 9661 + }, + { + "epoch": 0.66, + "learning_rate": 2.774732035337575e-06, + "loss": 0.6327, + "step": 9662 + }, + { + "epoch": 0.66, + "learning_rate": 2.7737453790153853e-06, + "loss": 0.6157, + "step": 9663 + }, + { + "epoch": 0.66, + "learning_rate": 2.772758830806511e-06, + "loss": 0.8869, + "step": 9664 + }, + { + "epoch": 0.66, + "learning_rate": 2.771772390758871e-06, + "loss": 0.808, + "step": 9665 + }, + { + "epoch": 0.66, + "learning_rate": 2.770786058920364e-06, + "loss": 0.8482, + "step": 9666 + }, + { + "epoch": 0.66, + "learning_rate": 2.7697998353388865e-06, + "loss": 0.6198, + "step": 9667 + }, + { + "epoch": 0.66, + "learning_rate": 2.7688137200623406e-06, + "loss": 0.9281, + "step": 9668 + }, + { + "epoch": 0.66, + "learning_rate": 2.7678277131386085e-06, + "loss": 0.9135, + "step": 9669 + }, + { + "epoch": 0.66, + "learning_rate": 2.766841814615573e-06, + "loss": 0.6197, + "step": 9670 + }, + { + "epoch": 0.66, + "learning_rate": 2.7658560245411183e-06, + "loss": 0.6334, + "step": 9671 + }, + { + "epoch": 0.66, + "learning_rate": 2.7648703429631114e-06, + "loss": 0.7269, + "step": 9672 + }, + { + "epoch": 0.66, + "learning_rate": 2.7638847699294196e-06, + "loss": 0.5372, + "step": 9673 + }, + { + "epoch": 0.66, + "learning_rate": 2.7628993054879115e-06, + "loss": 0.8335, + "step": 9674 + }, + { + "epoch": 0.66, + "learning_rate": 2.761913949686438e-06, + "loss": 0.5786, + "step": 9675 + }, + { + "epoch": 0.66, + "learning_rate": 2.7609287025728524e-06, + "loss": 0.7226, + "step": 9676 + }, + { + "epoch": 0.66, + "learning_rate": 2.7599435641950023e-06, + "loss": 0.751, + "step": 9677 + }, + { + "epoch": 0.66, + "learning_rate": 2.7589585346007275e-06, + "loss": 0.7299, + "step": 9678 + }, + { + "epoch": 0.66, + "learning_rate": 2.757973613837864e-06, + "loss": 0.4871, + "step": 9679 + }, + { + "epoch": 0.66, + "learning_rate": 2.7569888019542427e-06, + "loss": 0.8624, + "step": 9680 + }, + { + "epoch": 0.66, + "learning_rate": 2.7560040989976894e-06, + "loss": 0.559, + "step": 9681 + }, + { + "epoch": 0.66, + "learning_rate": 2.755019505016023e-06, + "loss": 0.7387, + "step": 9682 + }, + { + "epoch": 0.66, + "learning_rate": 2.7540350200570597e-06, + "loss": 0.7144, + "step": 9683 + }, + { + "epoch": 0.66, + "learning_rate": 2.753050644168608e-06, + "loss": 0.8283, + "step": 9684 + }, + { + "epoch": 0.66, + "learning_rate": 2.7520663773984733e-06, + "loss": 0.8204, + "step": 9685 + }, + { + "epoch": 0.66, + "learning_rate": 2.7510822197944498e-06, + "loss": 0.6029, + "step": 9686 + }, + { + "epoch": 0.66, + "learning_rate": 2.7500981714043367e-06, + "loss": 0.5625, + "step": 9687 + }, + { + "epoch": 0.66, + "learning_rate": 2.749114232275922e-06, + "loss": 0.5236, + "step": 9688 + }, + { + "epoch": 0.66, + "learning_rate": 2.7481304024569823e-06, + "loss": 0.4644, + "step": 9689 + }, + { + "epoch": 0.66, + "learning_rate": 2.7471466819953007e-06, + "loss": 0.5633, + "step": 9690 + }, + { + "epoch": 0.66, + "learning_rate": 2.746163070938651e-06, + "loss": 0.6095, + "step": 9691 + }, + { + "epoch": 0.66, + "learning_rate": 2.745179569334794e-06, + "loss": 0.7718, + "step": 9692 + }, + { + "epoch": 0.66, + "learning_rate": 2.744196177231498e-06, + "loss": 0.7673, + "step": 9693 + }, + { + "epoch": 0.66, + "learning_rate": 2.743212894676514e-06, + "loss": 0.5485, + "step": 9694 + }, + { + "epoch": 0.66, + "learning_rate": 2.742229721717595e-06, + "loss": 0.8678, + "step": 9695 + }, + { + "epoch": 0.66, + "learning_rate": 2.7412466584024878e-06, + "loss": 0.6619, + "step": 9696 + }, + { + "epoch": 0.66, + "learning_rate": 2.7402637047789314e-06, + "loss": 0.666, + "step": 9697 + }, + { + "epoch": 0.66, + "learning_rate": 2.7392808608946614e-06, + "loss": 0.4359, + "step": 9698 + }, + { + "epoch": 0.66, + "learning_rate": 2.7382981267974073e-06, + "loss": 0.7435, + "step": 9699 + }, + { + "epoch": 0.66, + "learning_rate": 2.7373155025348943e-06, + "loss": 0.6634, + "step": 9700 + }, + { + "epoch": 0.66, + "learning_rate": 2.7363329881548395e-06, + "loss": 0.5966, + "step": 9701 + }, + { + "epoch": 0.66, + "learning_rate": 2.735350583704959e-06, + "loss": 0.6377, + "step": 9702 + }, + { + "epoch": 0.66, + "learning_rate": 2.734368289232959e-06, + "loss": 0.8341, + "step": 9703 + }, + { + "epoch": 0.66, + "learning_rate": 2.733386104786545e-06, + "loss": 0.7557, + "step": 9704 + }, + { + "epoch": 0.66, + "learning_rate": 2.7324040304134125e-06, + "loss": 0.7289, + "step": 9705 + }, + { + "epoch": 0.66, + "learning_rate": 2.7314220661612543e-06, + "loss": 0.7658, + "step": 9706 + }, + { + "epoch": 0.66, + "learning_rate": 2.7304402120777584e-06, + "loss": 0.9975, + "step": 9707 + }, + { + "epoch": 0.66, + "learning_rate": 2.729458468210606e-06, + "loss": 0.7735, + "step": 9708 + }, + { + "epoch": 0.66, + "learning_rate": 2.7284768346074732e-06, + "loss": 0.6968, + "step": 9709 + }, + { + "epoch": 0.66, + "learning_rate": 2.7274953113160303e-06, + "loss": 0.595, + "step": 9710 + }, + { + "epoch": 0.66, + "learning_rate": 2.726513898383944e-06, + "loss": 0.8706, + "step": 9711 + }, + { + "epoch": 0.66, + "learning_rate": 2.7255325958588742e-06, + "loss": 0.6197, + "step": 9712 + }, + { + "epoch": 0.66, + "learning_rate": 2.7245514037884773e-06, + "loss": 0.8945, + "step": 9713 + }, + { + "epoch": 0.66, + "learning_rate": 2.723570322220399e-06, + "loss": 0.7125, + "step": 9714 + }, + { + "epoch": 0.66, + "learning_rate": 2.7225893512022846e-06, + "loss": 0.6563, + "step": 9715 + }, + { + "epoch": 0.66, + "learning_rate": 2.7216084907817775e-06, + "loss": 0.8087, + "step": 9716 + }, + { + "epoch": 0.66, + "learning_rate": 2.720627741006505e-06, + "loss": 0.7096, + "step": 9717 + }, + { + "epoch": 0.66, + "learning_rate": 2.7196471019240963e-06, + "loss": 0.6968, + "step": 9718 + }, + { + "epoch": 0.66, + "learning_rate": 2.718666573582179e-06, + "loss": 0.6934, + "step": 9719 + }, + { + "epoch": 0.66, + "learning_rate": 2.7176861560283646e-06, + "loss": 0.6012, + "step": 9720 + }, + { + "epoch": 0.66, + "learning_rate": 2.716705849310265e-06, + "loss": 0.6925, + "step": 9721 + }, + { + "epoch": 0.66, + "learning_rate": 2.7157256534754933e-06, + "loss": 0.7145, + "step": 9722 + }, + { + "epoch": 0.66, + "learning_rate": 2.714745568571644e-06, + "loss": 0.7451, + "step": 9723 + }, + { + "epoch": 0.66, + "learning_rate": 2.713765594646315e-06, + "loss": 0.4959, + "step": 9724 + }, + { + "epoch": 0.66, + "learning_rate": 2.7127857317470967e-06, + "loss": 0.9344, + "step": 9725 + }, + { + "epoch": 0.66, + "learning_rate": 2.7118059799215746e-06, + "loss": 0.7303, + "step": 9726 + }, + { + "epoch": 0.66, + "learning_rate": 2.710826339217327e-06, + "loss": 0.4692, + "step": 9727 + }, + { + "epoch": 0.66, + "learning_rate": 2.7098468096819286e-06, + "loss": 0.5986, + "step": 9728 + }, + { + "epoch": 0.66, + "learning_rate": 2.708867391362948e-06, + "loss": 0.7977, + "step": 9729 + }, + { + "epoch": 0.66, + "learning_rate": 2.70788808430795e-06, + "loss": 0.8526, + "step": 9730 + }, + { + "epoch": 0.66, + "learning_rate": 2.706908888564491e-06, + "loss": 1.0205, + "step": 9731 + }, + { + "epoch": 0.66, + "learning_rate": 2.705929804180124e-06, + "loss": 0.7795, + "step": 9732 + }, + { + "epoch": 0.66, + "learning_rate": 2.7049508312023977e-06, + "loss": 0.715, + "step": 9733 + }, + { + "epoch": 0.66, + "learning_rate": 2.7039719696788488e-06, + "loss": 0.8081, + "step": 9734 + }, + { + "epoch": 0.66, + "learning_rate": 2.7029932196570188e-06, + "loss": 0.7991, + "step": 9735 + }, + { + "epoch": 0.66, + "learning_rate": 2.702014581184439e-06, + "loss": 0.6261, + "step": 9736 + }, + { + "epoch": 0.66, + "learning_rate": 2.701036054308629e-06, + "loss": 0.8675, + "step": 9737 + }, + { + "epoch": 0.66, + "learning_rate": 2.700057639077115e-06, + "loss": 0.7328, + "step": 9738 + }, + { + "epoch": 0.66, + "learning_rate": 2.6990793355374105e-06, + "loss": 0.8241, + "step": 9739 + }, + { + "epoch": 0.66, + "learning_rate": 2.6981011437370204e-06, + "loss": 0.6857, + "step": 9740 + }, + { + "epoch": 0.66, + "learning_rate": 2.6971230637234554e-06, + "loss": 0.7886, + "step": 9741 + }, + { + "epoch": 0.66, + "learning_rate": 2.696145095544208e-06, + "loss": 0.7476, + "step": 9742 + }, + { + "epoch": 0.66, + "learning_rate": 2.6951672392467715e-06, + "loss": 0.6935, + "step": 9743 + }, + { + "epoch": 0.66, + "learning_rate": 2.6941894948786397e-06, + "loss": 0.7653, + "step": 9744 + }, + { + "epoch": 0.66, + "learning_rate": 2.693211862487287e-06, + "loss": 0.6552, + "step": 9745 + }, + { + "epoch": 0.66, + "learning_rate": 2.6922343421201924e-06, + "loss": 0.5579, + "step": 9746 + }, + { + "epoch": 0.66, + "learning_rate": 2.6912569338248317e-06, + "loss": 0.5713, + "step": 9747 + }, + { + "epoch": 0.66, + "learning_rate": 2.690279637648664e-06, + "loss": 0.8185, + "step": 9748 + }, + { + "epoch": 0.66, + "learning_rate": 2.6893024536391517e-06, + "loss": 0.9248, + "step": 9749 + }, + { + "epoch": 0.66, + "learning_rate": 2.688325381843754e-06, + "loss": 0.769, + "step": 9750 + }, + { + "epoch": 0.66, + "learning_rate": 2.6873484223099143e-06, + "loss": 0.6681, + "step": 9751 + }, + { + "epoch": 0.66, + "learning_rate": 2.6863715750850795e-06, + "loss": 0.7237, + "step": 9752 + }, + { + "epoch": 0.66, + "learning_rate": 2.685394840216688e-06, + "loss": 0.8942, + "step": 9753 + }, + { + "epoch": 0.66, + "learning_rate": 2.6844182177521716e-06, + "loss": 0.6468, + "step": 9754 + }, + { + "epoch": 0.66, + "learning_rate": 2.68344170773896e-06, + "loss": 0.7474, + "step": 9755 + }, + { + "epoch": 0.66, + "learning_rate": 2.682465310224473e-06, + "loss": 0.8839, + "step": 9756 + }, + { + "epoch": 0.66, + "learning_rate": 2.6814890252561288e-06, + "loss": 1.1139, + "step": 9757 + }, + { + "epoch": 0.66, + "learning_rate": 2.6805128528813382e-06, + "loss": 0.7369, + "step": 9758 + }, + { + "epoch": 0.66, + "learning_rate": 2.679536793147507e-06, + "loss": 0.7461, + "step": 9759 + }, + { + "epoch": 0.66, + "learning_rate": 2.678560846102035e-06, + "loss": 0.9162, + "step": 9760 + }, + { + "epoch": 0.66, + "learning_rate": 2.67758501179232e-06, + "loss": 0.8707, + "step": 9761 + }, + { + "epoch": 0.66, + "learning_rate": 2.6766092902657447e-06, + "loss": 0.8261, + "step": 9762 + }, + { + "epoch": 0.66, + "learning_rate": 2.675633681569698e-06, + "loss": 0.6842, + "step": 9763 + }, + { + "epoch": 0.66, + "learning_rate": 2.6746581857515607e-06, + "loss": 0.6507, + "step": 9764 + }, + { + "epoch": 0.66, + "learning_rate": 2.673682802858697e-06, + "loss": 0.5884, + "step": 9765 + }, + { + "epoch": 0.66, + "learning_rate": 2.672707532938482e-06, + "loss": 0.6509, + "step": 9766 + }, + { + "epoch": 0.66, + "learning_rate": 2.671732376038277e-06, + "loss": 0.8696, + "step": 9767 + }, + { + "epoch": 0.66, + "learning_rate": 2.6707573322054327e-06, + "loss": 0.7297, + "step": 9768 + }, + { + "epoch": 0.66, + "learning_rate": 2.6697824014873076e-06, + "loss": 0.8662, + "step": 9769 + }, + { + "epoch": 0.66, + "learning_rate": 2.668807583931241e-06, + "loss": 0.921, + "step": 9770 + }, + { + "epoch": 0.66, + "learning_rate": 2.667832879584575e-06, + "loss": 0.7, + "step": 9771 + }, + { + "epoch": 0.66, + "learning_rate": 2.6668582884946454e-06, + "loss": 0.6889, + "step": 9772 + }, + { + "epoch": 0.66, + "learning_rate": 2.665883810708779e-06, + "loss": 0.6517, + "step": 9773 + }, + { + "epoch": 0.67, + "learning_rate": 2.664909446274301e-06, + "loss": 0.6813, + "step": 9774 + }, + { + "epoch": 0.67, + "learning_rate": 2.663935195238528e-06, + "loss": 0.892, + "step": 9775 + }, + { + "epoch": 0.67, + "learning_rate": 2.6629610576487737e-06, + "loss": 0.5928, + "step": 9776 + }, + { + "epoch": 0.67, + "learning_rate": 2.6619870335523434e-06, + "loss": 0.7151, + "step": 9777 + }, + { + "epoch": 0.67, + "learning_rate": 2.66101312299654e-06, + "loss": 0.5055, + "step": 9778 + }, + { + "epoch": 0.67, + "learning_rate": 2.660039326028659e-06, + "loss": 0.6491, + "step": 9779 + }, + { + "epoch": 0.67, + "learning_rate": 2.6590656426959906e-06, + "loss": 0.6065, + "step": 9780 + }, + { + "epoch": 0.67, + "learning_rate": 2.6580920730458194e-06, + "loss": 0.6421, + "step": 9781 + }, + { + "epoch": 0.67, + "learning_rate": 2.657118617125425e-06, + "loss": 0.6029, + "step": 9782 + }, + { + "epoch": 0.67, + "learning_rate": 2.656145274982081e-06, + "loss": 0.613, + "step": 9783 + }, + { + "epoch": 0.67, + "learning_rate": 2.655172046663056e-06, + "loss": 0.6126, + "step": 9784 + }, + { + "epoch": 0.67, + "learning_rate": 2.654198932215613e-06, + "loss": 0.8687, + "step": 9785 + }, + { + "epoch": 0.67, + "learning_rate": 2.653225931687009e-06, + "loss": 0.6071, + "step": 9786 + }, + { + "epoch": 0.67, + "learning_rate": 2.6522530451244955e-06, + "loss": 0.8194, + "step": 9787 + }, + { + "epoch": 0.67, + "learning_rate": 2.6512802725753183e-06, + "loss": 0.8123, + "step": 9788 + }, + { + "epoch": 0.67, + "learning_rate": 2.650307614086721e-06, + "loss": 0.787, + "step": 9789 + }, + { + "epoch": 0.67, + "learning_rate": 2.649335069705934e-06, + "loss": 0.7361, + "step": 9790 + }, + { + "epoch": 0.67, + "learning_rate": 2.6483626394801877e-06, + "loss": 0.7262, + "step": 9791 + }, + { + "epoch": 0.67, + "learning_rate": 2.64739032345671e-06, + "loss": 0.5079, + "step": 9792 + }, + { + "epoch": 0.67, + "learning_rate": 2.6464181216827164e-06, + "loss": 0.5051, + "step": 9793 + }, + { + "epoch": 0.67, + "learning_rate": 2.6454460342054174e-06, + "loss": 0.8928, + "step": 9794 + }, + { + "epoch": 0.67, + "learning_rate": 2.644474061072027e-06, + "loss": 0.5986, + "step": 9795 + }, + { + "epoch": 0.67, + "learning_rate": 2.643502202329742e-06, + "loss": 0.7277, + "step": 9796 + }, + { + "epoch": 0.67, + "learning_rate": 2.642530458025759e-06, + "loss": 0.4758, + "step": 9797 + }, + { + "epoch": 0.67, + "learning_rate": 2.6415588282072702e-06, + "loss": 1.1365, + "step": 9798 + }, + { + "epoch": 0.67, + "learning_rate": 2.6405873129214595e-06, + "loss": 0.6318, + "step": 9799 + }, + { + "epoch": 0.67, + "learning_rate": 2.6396159122155074e-06, + "loss": 0.7603, + "step": 9800 + }, + { + "epoch": 0.67, + "learning_rate": 2.6386446261365874e-06, + "loss": 1.0521, + "step": 9801 + }, + { + "epoch": 0.67, + "learning_rate": 2.6376734547318685e-06, + "loss": 0.594, + "step": 9802 + }, + { + "epoch": 0.67, + "learning_rate": 2.6367023980485122e-06, + "loss": 0.7925, + "step": 9803 + }, + { + "epoch": 0.67, + "learning_rate": 2.6357314561336777e-06, + "loss": 0.7442, + "step": 9804 + }, + { + "epoch": 0.67, + "learning_rate": 2.6347606290345153e-06, + "loss": 0.6764, + "step": 9805 + }, + { + "epoch": 0.67, + "learning_rate": 2.633789916798174e-06, + "loss": 0.7813, + "step": 9806 + }, + { + "epoch": 0.67, + "learning_rate": 2.6328193194717875e-06, + "loss": 0.6854, + "step": 9807 + }, + { + "epoch": 0.67, + "learning_rate": 2.6318488371024973e-06, + "loss": 0.7252, + "step": 9808 + }, + { + "epoch": 0.67, + "learning_rate": 2.6308784697374335e-06, + "loss": 0.7911, + "step": 9809 + }, + { + "epoch": 0.67, + "learning_rate": 2.6299082174237135e-06, + "loss": 0.791, + "step": 9810 + }, + { + "epoch": 0.67, + "learning_rate": 2.6289380802084607e-06, + "loss": 0.6742, + "step": 9811 + }, + { + "epoch": 0.67, + "learning_rate": 2.6279680581387885e-06, + "loss": 0.7676, + "step": 9812 + }, + { + "epoch": 0.67, + "learning_rate": 2.626998151261798e-06, + "loss": 0.7811, + "step": 9813 + }, + { + "epoch": 0.67, + "learning_rate": 2.626028359624596e-06, + "loss": 0.6052, + "step": 9814 + }, + { + "epoch": 0.67, + "learning_rate": 2.6250586832742792e-06, + "loss": 0.3344, + "step": 9815 + }, + { + "epoch": 0.67, + "learning_rate": 2.6240891222579314e-06, + "loss": 0.6708, + "step": 9816 + }, + { + "epoch": 0.67, + "learning_rate": 2.623119676622645e-06, + "loss": 0.7767, + "step": 9817 + }, + { + "epoch": 0.67, + "learning_rate": 2.622150346415494e-06, + "loss": 0.7212, + "step": 9818 + }, + { + "epoch": 0.67, + "learning_rate": 2.621181131683551e-06, + "loss": 0.6818, + "step": 9819 + }, + { + "epoch": 0.67, + "learning_rate": 2.620212032473891e-06, + "loss": 0.8714, + "step": 9820 + }, + { + "epoch": 0.67, + "learning_rate": 2.6192430488335687e-06, + "loss": 0.7727, + "step": 9821 + }, + { + "epoch": 0.67, + "learning_rate": 2.6182741808096414e-06, + "loss": 0.8723, + "step": 9822 + }, + { + "epoch": 0.67, + "learning_rate": 2.617305428449166e-06, + "loss": 0.8476, + "step": 9823 + }, + { + "epoch": 0.67, + "learning_rate": 2.6163367917991824e-06, + "loss": 0.6896, + "step": 9824 + }, + { + "epoch": 0.67, + "learning_rate": 2.6153682709067317e-06, + "loss": 0.7386, + "step": 9825 + }, + { + "epoch": 0.67, + "learning_rate": 2.6143998658188485e-06, + "loss": 0.6609, + "step": 9826 + }, + { + "epoch": 0.67, + "learning_rate": 2.6134315765825613e-06, + "loss": 0.5816, + "step": 9827 + }, + { + "epoch": 0.67, + "learning_rate": 2.6124634032448924e-06, + "loss": 0.7747, + "step": 9828 + }, + { + "epoch": 0.67, + "learning_rate": 2.6114953458528604e-06, + "loss": 0.7808, + "step": 9829 + }, + { + "epoch": 0.67, + "learning_rate": 2.6105274044534757e-06, + "loss": 0.5768, + "step": 9830 + }, + { + "epoch": 0.67, + "learning_rate": 2.609559579093745e-06, + "loss": 0.5892, + "step": 9831 + }, + { + "epoch": 0.67, + "learning_rate": 2.6085918698206686e-06, + "loss": 0.8099, + "step": 9832 + }, + { + "epoch": 0.67, + "learning_rate": 2.607624276681241e-06, + "loss": 0.7995, + "step": 9833 + }, + { + "epoch": 0.67, + "learning_rate": 2.606656799722453e-06, + "loss": 0.9611, + "step": 9834 + }, + { + "epoch": 0.67, + "learning_rate": 2.6056894389912826e-06, + "loss": 0.7202, + "step": 9835 + }, + { + "epoch": 0.67, + "learning_rate": 2.6047221945347133e-06, + "loss": 0.7268, + "step": 9836 + }, + { + "epoch": 0.67, + "learning_rate": 2.603755066399718e-06, + "loss": 0.7424, + "step": 9837 + }, + { + "epoch": 0.67, + "learning_rate": 2.602788054633256e-06, + "loss": 0.6544, + "step": 9838 + }, + { + "epoch": 0.67, + "learning_rate": 2.601821159282295e-06, + "loss": 0.8038, + "step": 9839 + }, + { + "epoch": 0.67, + "learning_rate": 2.6008543803937903e-06, + "loss": 0.7775, + "step": 9840 + }, + { + "epoch": 0.67, + "learning_rate": 2.5998877180146854e-06, + "loss": 0.8822, + "step": 9841 + }, + { + "epoch": 0.67, + "learning_rate": 2.5989211721919296e-06, + "loss": 0.724, + "step": 9842 + }, + { + "epoch": 0.67, + "learning_rate": 2.597954742972461e-06, + "loss": 0.7062, + "step": 9843 + }, + { + "epoch": 0.67, + "learning_rate": 2.5969884304032093e-06, + "loss": 0.6224, + "step": 9844 + }, + { + "epoch": 0.67, + "learning_rate": 2.5960222345311026e-06, + "loss": 0.6115, + "step": 9845 + }, + { + "epoch": 0.67, + "learning_rate": 2.595056155403063e-06, + "loss": 0.8515, + "step": 9846 + }, + { + "epoch": 0.67, + "learning_rate": 2.5940901930660052e-06, + "loss": 0.6794, + "step": 9847 + }, + { + "epoch": 0.67, + "learning_rate": 2.593124347566839e-06, + "loss": 0.6802, + "step": 9848 + }, + { + "epoch": 0.67, + "learning_rate": 2.5921586189524694e-06, + "loss": 0.8701, + "step": 9849 + }, + { + "epoch": 0.67, + "learning_rate": 2.5911930072697944e-06, + "loss": 0.7957, + "step": 9850 + }, + { + "epoch": 0.67, + "learning_rate": 2.5902275125657067e-06, + "loss": 0.6397, + "step": 9851 + }, + { + "epoch": 0.67, + "learning_rate": 2.589262134887094e-06, + "loss": 0.7753, + "step": 9852 + }, + { + "epoch": 0.67, + "learning_rate": 2.5882968742808377e-06, + "loss": 0.5474, + "step": 9853 + }, + { + "epoch": 0.67, + "learning_rate": 2.5873317307938138e-06, + "loss": 0.5973, + "step": 9854 + }, + { + "epoch": 0.67, + "learning_rate": 2.5863667044728924e-06, + "loss": 0.7474, + "step": 9855 + }, + { + "epoch": 0.67, + "learning_rate": 2.5854017953649375e-06, + "loss": 0.6537, + "step": 9856 + }, + { + "epoch": 0.67, + "learning_rate": 2.5844370035168077e-06, + "loss": 0.8503, + "step": 9857 + }, + { + "epoch": 0.67, + "learning_rate": 2.583472328975357e-06, + "loss": 0.5903, + "step": 9858 + }, + { + "epoch": 0.67, + "learning_rate": 2.582507771787432e-06, + "loss": 0.6802, + "step": 9859 + }, + { + "epoch": 0.67, + "learning_rate": 2.581543331999875e-06, + "loss": 0.8872, + "step": 9860 + }, + { + "epoch": 0.67, + "learning_rate": 2.5805790096595205e-06, + "loss": 0.8214, + "step": 9861 + }, + { + "epoch": 0.67, + "learning_rate": 2.579614804813201e-06, + "loss": 0.9272, + "step": 9862 + }, + { + "epoch": 0.67, + "learning_rate": 2.5786507175077414e-06, + "loss": 0.7057, + "step": 9863 + }, + { + "epoch": 0.67, + "learning_rate": 2.5776867477899554e-06, + "loss": 0.8512, + "step": 9864 + }, + { + "epoch": 0.67, + "learning_rate": 2.5767228957066635e-06, + "loss": 0.6272, + "step": 9865 + }, + { + "epoch": 0.67, + "learning_rate": 2.575759161304667e-06, + "loss": 0.7856, + "step": 9866 + }, + { + "epoch": 0.67, + "learning_rate": 2.574795544630769e-06, + "loss": 0.8818, + "step": 9867 + }, + { + "epoch": 0.67, + "learning_rate": 2.57383204573177e-06, + "loss": 0.7789, + "step": 9868 + }, + { + "epoch": 0.67, + "learning_rate": 2.5728686646544556e-06, + "loss": 0.7318, + "step": 9869 + }, + { + "epoch": 0.67, + "learning_rate": 2.571905401445608e-06, + "loss": 0.6894, + "step": 9870 + }, + { + "epoch": 0.67, + "learning_rate": 2.5709422561520147e-06, + "loss": 0.9052, + "step": 9871 + }, + { + "epoch": 0.67, + "learning_rate": 2.569979228820441e-06, + "loss": 0.7772, + "step": 9872 + }, + { + "epoch": 0.67, + "learning_rate": 2.5690163194976576e-06, + "loss": 0.8844, + "step": 9873 + }, + { + "epoch": 0.67, + "learning_rate": 2.568053528230425e-06, + "loss": 0.6962, + "step": 9874 + }, + { + "epoch": 0.67, + "learning_rate": 2.5670908550655e-06, + "loss": 0.7641, + "step": 9875 + }, + { + "epoch": 0.67, + "learning_rate": 2.5661283000496324e-06, + "loss": 0.7004, + "step": 9876 + }, + { + "epoch": 0.67, + "learning_rate": 2.5651658632295662e-06, + "loss": 0.8983, + "step": 9877 + }, + { + "epoch": 0.67, + "learning_rate": 2.564203544652041e-06, + "loss": 0.6511, + "step": 9878 + }, + { + "epoch": 0.67, + "learning_rate": 2.5632413443637887e-06, + "loss": 0.6337, + "step": 9879 + }, + { + "epoch": 0.67, + "learning_rate": 2.5622792624115377e-06, + "loss": 0.7236, + "step": 9880 + }, + { + "epoch": 0.67, + "learning_rate": 2.561317298842008e-06, + "loss": 0.944, + "step": 9881 + }, + { + "epoch": 0.67, + "learning_rate": 2.5603554537019194e-06, + "loss": 0.83, + "step": 9882 + }, + { + "epoch": 0.67, + "learning_rate": 2.559393727037973e-06, + "loss": 0.9048, + "step": 9883 + }, + { + "epoch": 0.67, + "learning_rate": 2.558432118896882e-06, + "loss": 0.5389, + "step": 9884 + }, + { + "epoch": 0.67, + "learning_rate": 2.557470629325343e-06, + "loss": 0.8577, + "step": 9885 + }, + { + "epoch": 0.67, + "learning_rate": 2.5565092583700436e-06, + "loss": 0.9533, + "step": 9886 + }, + { + "epoch": 0.67, + "learning_rate": 2.555548006077676e-06, + "loss": 0.6877, + "step": 9887 + }, + { + "epoch": 0.67, + "learning_rate": 2.5545868724949212e-06, + "loss": 0.6659, + "step": 9888 + }, + { + "epoch": 0.67, + "learning_rate": 2.5536258576684497e-06, + "loss": 0.7716, + "step": 9889 + }, + { + "epoch": 0.67, + "learning_rate": 2.552664961644936e-06, + "loss": 0.4642, + "step": 9890 + }, + { + "epoch": 0.67, + "learning_rate": 2.5517041844710456e-06, + "loss": 0.7376, + "step": 9891 + }, + { + "epoch": 0.67, + "learning_rate": 2.550743526193429e-06, + "loss": 0.964, + "step": 9892 + }, + { + "epoch": 0.67, + "learning_rate": 2.5497829868587466e-06, + "loss": 0.6074, + "step": 9893 + }, + { + "epoch": 0.67, + "learning_rate": 2.548822566513639e-06, + "loss": 0.7722, + "step": 9894 + }, + { + "epoch": 0.67, + "learning_rate": 2.547862265204748e-06, + "loss": 0.7159, + "step": 9895 + }, + { + "epoch": 0.67, + "learning_rate": 2.546902082978714e-06, + "loss": 0.5546, + "step": 9896 + }, + { + "epoch": 0.67, + "learning_rate": 2.5459420198821604e-06, + "loss": 0.627, + "step": 9897 + }, + { + "epoch": 0.67, + "learning_rate": 2.54498207596171e-06, + "loss": 0.7256, + "step": 9898 + }, + { + "epoch": 0.67, + "learning_rate": 2.5440222512639868e-06, + "loss": 0.8428, + "step": 9899 + }, + { + "epoch": 0.67, + "learning_rate": 2.5430625458355965e-06, + "loss": 0.7859, + "step": 9900 + }, + { + "epoch": 0.67, + "learning_rate": 2.5421029597231476e-06, + "loss": 1.0024, + "step": 9901 + }, + { + "epoch": 0.67, + "learning_rate": 2.5411434929732403e-06, + "loss": 0.6634, + "step": 9902 + }, + { + "epoch": 0.67, + "learning_rate": 2.5401841456324683e-06, + "loss": 0.5953, + "step": 9903 + }, + { + "epoch": 0.67, + "learning_rate": 2.5392249177474217e-06, + "loss": 0.5354, + "step": 9904 + }, + { + "epoch": 0.67, + "learning_rate": 2.538265809364681e-06, + "loss": 0.5827, + "step": 9905 + }, + { + "epoch": 0.67, + "learning_rate": 2.537306820530826e-06, + "loss": 0.6854, + "step": 9906 + }, + { + "epoch": 0.67, + "learning_rate": 2.536347951292426e-06, + "loss": 0.7052, + "step": 9907 + }, + { + "epoch": 0.67, + "learning_rate": 2.535389201696047e-06, + "loss": 0.9273, + "step": 9908 + }, + { + "epoch": 0.67, + "learning_rate": 2.5344305717882487e-06, + "loss": 0.7852, + "step": 9909 + }, + { + "epoch": 0.67, + "learning_rate": 2.5334720616155877e-06, + "loss": 0.8378, + "step": 9910 + }, + { + "epoch": 0.67, + "learning_rate": 2.5325136712246044e-06, + "loss": 0.6985, + "step": 9911 + }, + { + "epoch": 0.67, + "learning_rate": 2.5315554006618487e-06, + "loss": 0.5974, + "step": 9912 + }, + { + "epoch": 0.67, + "learning_rate": 2.530597249973856e-06, + "loss": 0.9204, + "step": 9913 + }, + { + "epoch": 0.67, + "learning_rate": 2.5296392192071508e-06, + "loss": 0.6899, + "step": 9914 + }, + { + "epoch": 0.67, + "learning_rate": 2.528681308408264e-06, + "loss": 0.5804, + "step": 9915 + }, + { + "epoch": 0.67, + "learning_rate": 2.527723517623714e-06, + "loss": 0.8267, + "step": 9916 + }, + { + "epoch": 0.67, + "learning_rate": 2.526765846900009e-06, + "loss": 0.831, + "step": 9917 + }, + { + "epoch": 0.67, + "learning_rate": 2.5258082962836616e-06, + "loss": 0.4958, + "step": 9918 + }, + { + "epoch": 0.67, + "learning_rate": 2.5248508658211727e-06, + "loss": 0.6085, + "step": 9919 + }, + { + "epoch": 0.67, + "learning_rate": 2.523893555559035e-06, + "loss": 0.4037, + "step": 9920 + }, + { + "epoch": 0.68, + "learning_rate": 2.5229363655437394e-06, + "loss": 0.6059, + "step": 9921 + }, + { + "epoch": 0.68, + "learning_rate": 2.5219792958217703e-06, + "loss": 0.8358, + "step": 9922 + }, + { + "epoch": 0.68, + "learning_rate": 2.5210223464396055e-06, + "loss": 0.6846, + "step": 9923 + }, + { + "epoch": 0.68, + "learning_rate": 2.5200655174437165e-06, + "loss": 0.5516, + "step": 9924 + }, + { + "epoch": 0.68, + "learning_rate": 2.5191088088805716e-06, + "loss": 0.457, + "step": 9925 + }, + { + "epoch": 0.68, + "learning_rate": 2.518152220796629e-06, + "loss": 0.7959, + "step": 9926 + }, + { + "epoch": 0.68, + "learning_rate": 2.5171957532383453e-06, + "loss": 0.6961, + "step": 9927 + }, + { + "epoch": 0.68, + "learning_rate": 2.516239406252168e-06, + "loss": 0.3944, + "step": 9928 + }, + { + "epoch": 0.68, + "learning_rate": 2.51528317988454e-06, + "loss": 0.5917, + "step": 9929 + }, + { + "epoch": 0.68, + "learning_rate": 2.5143270741818994e-06, + "loss": 0.6293, + "step": 9930 + }, + { + "epoch": 0.68, + "learning_rate": 2.5133710891906773e-06, + "loss": 0.8562, + "step": 9931 + }, + { + "epoch": 0.68, + "learning_rate": 2.512415224957298e-06, + "loss": 0.8727, + "step": 9932 + }, + { + "epoch": 0.68, + "learning_rate": 2.511459481528182e-06, + "loss": 0.7233, + "step": 9933 + }, + { + "epoch": 0.68, + "learning_rate": 2.510503858949743e-06, + "loss": 0.7914, + "step": 9934 + }, + { + "epoch": 0.68, + "learning_rate": 2.5095483572683886e-06, + "loss": 0.6882, + "step": 9935 + }, + { + "epoch": 0.68, + "learning_rate": 2.508592976530522e-06, + "loss": 0.5818, + "step": 9936 + }, + { + "epoch": 0.68, + "learning_rate": 2.507637716782535e-06, + "loss": 0.7115, + "step": 9937 + }, + { + "epoch": 0.68, + "learning_rate": 2.5066825780708215e-06, + "loss": 1.0233, + "step": 9938 + }, + { + "epoch": 0.68, + "learning_rate": 2.505727560441767e-06, + "loss": 0.6193, + "step": 9939 + }, + { + "epoch": 0.68, + "learning_rate": 2.5047726639417437e-06, + "loss": 0.8012, + "step": 9940 + }, + { + "epoch": 0.68, + "learning_rate": 2.5038178886171327e-06, + "loss": 1.2005, + "step": 9941 + }, + { + "epoch": 0.68, + "learning_rate": 2.5028632345142935e-06, + "loss": 1.0005, + "step": 9942 + }, + { + "epoch": 0.68, + "learning_rate": 2.501908701679588e-06, + "loss": 0.353, + "step": 9943 + }, + { + "epoch": 0.68, + "learning_rate": 2.5009542901593763e-06, + "loss": 0.5868, + "step": 9944 + }, + { + "epoch": 0.68, + "learning_rate": 2.5000000000000015e-06, + "loss": 0.7583, + "step": 9945 + }, + { + "epoch": 0.68, + "learning_rate": 2.4990458312478067e-06, + "loss": 0.6976, + "step": 9946 + }, + { + "epoch": 0.68, + "learning_rate": 2.498091783949135e-06, + "loss": 0.5875, + "step": 9947 + }, + { + "epoch": 0.68, + "learning_rate": 2.497137858150312e-06, + "loss": 0.7057, + "step": 9948 + }, + { + "epoch": 0.68, + "learning_rate": 2.4961840538976643e-06, + "loss": 0.7697, + "step": 9949 + }, + { + "epoch": 0.68, + "learning_rate": 2.495230371237513e-06, + "loss": 0.7345, + "step": 9950 + }, + { + "epoch": 0.68, + "learning_rate": 2.4942768102161704e-06, + "loss": 0.53, + "step": 9951 + }, + { + "epoch": 0.68, + "learning_rate": 2.4933233708799438e-06, + "loss": 0.6767, + "step": 9952 + }, + { + "epoch": 0.68, + "learning_rate": 2.4923700532751355e-06, + "loss": 0.4953, + "step": 9953 + }, + { + "epoch": 0.68, + "learning_rate": 2.491416857448042e-06, + "loss": 1.006, + "step": 9954 + }, + { + "epoch": 0.68, + "learning_rate": 2.4904637834449525e-06, + "loss": 0.7244, + "step": 9955 + }, + { + "epoch": 0.68, + "learning_rate": 2.4895108313121508e-06, + "loss": 0.8158, + "step": 9956 + }, + { + "epoch": 0.68, + "learning_rate": 2.4885580010959153e-06, + "loss": 0.8643, + "step": 9957 + }, + { + "epoch": 0.68, + "learning_rate": 2.4876052928425202e-06, + "loss": 0.473, + "step": 9958 + }, + { + "epoch": 0.68, + "learning_rate": 2.486652706598226e-06, + "loss": 0.5715, + "step": 9959 + }, + { + "epoch": 0.68, + "learning_rate": 2.4857002424092986e-06, + "loss": 1.0103, + "step": 9960 + }, + { + "epoch": 0.68, + "learning_rate": 2.4847479003219926e-06, + "loss": 0.5274, + "step": 9961 + }, + { + "epoch": 0.68, + "learning_rate": 2.4837956803825504e-06, + "loss": 0.631, + "step": 9962 + }, + { + "epoch": 0.68, + "learning_rate": 2.4828435826372204e-06, + "loss": 0.6118, + "step": 9963 + }, + { + "epoch": 0.68, + "learning_rate": 2.4818916071322397e-06, + "loss": 0.751, + "step": 9964 + }, + { + "epoch": 0.68, + "learning_rate": 2.4809397539138324e-06, + "loss": 0.6497, + "step": 9965 + }, + { + "epoch": 0.68, + "learning_rate": 2.4799880230282293e-06, + "loss": 0.7049, + "step": 9966 + }, + { + "epoch": 0.68, + "learning_rate": 2.4790364145216495e-06, + "loss": 0.6868, + "step": 9967 + }, + { + "epoch": 0.68, + "learning_rate": 2.4780849284402996e-06, + "loss": 0.676, + "step": 9968 + }, + { + "epoch": 0.68, + "learning_rate": 2.4771335648303944e-06, + "loss": 0.8275, + "step": 9969 + }, + { + "epoch": 0.68, + "learning_rate": 2.47618232373813e-06, + "loss": 0.9373, + "step": 9970 + }, + { + "epoch": 0.68, + "learning_rate": 2.4752312052096996e-06, + "loss": 0.6186, + "step": 9971 + }, + { + "epoch": 0.68, + "learning_rate": 2.474280209291299e-06, + "loss": 0.9825, + "step": 9972 + }, + { + "epoch": 0.68, + "learning_rate": 2.4733293360291055e-06, + "loss": 0.6961, + "step": 9973 + }, + { + "epoch": 0.68, + "learning_rate": 2.472378585469298e-06, + "loss": 0.8383, + "step": 9974 + }, + { + "epoch": 0.68, + "learning_rate": 2.4714279576580487e-06, + "loss": 0.5592, + "step": 9975 + }, + { + "epoch": 0.68, + "learning_rate": 2.470477452641521e-06, + "loss": 0.5018, + "step": 9976 + }, + { + "epoch": 0.68, + "learning_rate": 2.4695270704658753e-06, + "loss": 0.616, + "step": 9977 + }, + { + "epoch": 0.68, + "learning_rate": 2.4685768111772647e-06, + "loss": 0.9564, + "step": 9978 + }, + { + "epoch": 0.68, + "learning_rate": 2.4676266748218357e-06, + "loss": 0.6753, + "step": 9979 + }, + { + "epoch": 0.68, + "learning_rate": 2.4666766614457316e-06, + "loss": 0.6701, + "step": 9980 + }, + { + "epoch": 0.68, + "learning_rate": 2.465726771095086e-06, + "loss": 0.4366, + "step": 9981 + }, + { + "epoch": 0.68, + "learning_rate": 2.4647770038160292e-06, + "loss": 0.5721, + "step": 9982 + }, + { + "epoch": 0.68, + "learning_rate": 2.4638273596546835e-06, + "loss": 0.7986, + "step": 9983 + }, + { + "epoch": 0.68, + "learning_rate": 2.4628778386571676e-06, + "loss": 0.715, + "step": 9984 + }, + { + "epoch": 0.68, + "learning_rate": 2.461928440869593e-06, + "loss": 0.5816, + "step": 9985 + }, + { + "epoch": 0.68, + "learning_rate": 2.4609791663380668e-06, + "loss": 0.4666, + "step": 9986 + }, + { + "epoch": 0.68, + "learning_rate": 2.460030015108682e-06, + "loss": 0.7434, + "step": 9987 + }, + { + "epoch": 0.68, + "learning_rate": 2.4590809872275385e-06, + "loss": 0.6836, + "step": 9988 + }, + { + "epoch": 0.68, + "learning_rate": 2.458132082740724e-06, + "loss": 0.6264, + "step": 9989 + }, + { + "epoch": 0.68, + "learning_rate": 2.4571833016943136e-06, + "loss": 0.6182, + "step": 9990 + }, + { + "epoch": 0.68, + "learning_rate": 2.456234644134389e-06, + "loss": 0.6491, + "step": 9991 + }, + { + "epoch": 0.68, + "learning_rate": 2.4552861101070207e-06, + "loss": 0.5793, + "step": 9992 + }, + { + "epoch": 0.68, + "learning_rate": 2.454337699658267e-06, + "loss": 0.5713, + "step": 9993 + }, + { + "epoch": 0.68, + "learning_rate": 2.453389412834186e-06, + "loss": 0.7927, + "step": 9994 + }, + { + "epoch": 0.68, + "learning_rate": 2.4524412496808345e-06, + "loss": 0.8358, + "step": 9995 + }, + { + "epoch": 0.68, + "learning_rate": 2.451493210244253e-06, + "loss": 0.7748, + "step": 9996 + }, + { + "epoch": 0.68, + "learning_rate": 2.450545294570482e-06, + "loss": 0.6471, + "step": 9997 + }, + { + "epoch": 0.68, + "learning_rate": 2.4495975027055567e-06, + "loss": 0.8563, + "step": 9998 + }, + { + "epoch": 0.68, + "learning_rate": 2.448649834695503e-06, + "loss": 0.5284, + "step": 9999 + }, + { + "epoch": 0.68, + "learning_rate": 2.447702290586343e-06, + "loss": 1.0682, + "step": 10000 + }, + { + "epoch": 0.68, + "learning_rate": 2.4467548704240916e-06, + "loss": 0.7754, + "step": 10001 + }, + { + "epoch": 0.68, + "learning_rate": 2.445807574254759e-06, + "loss": 0.9199, + "step": 10002 + }, + { + "epoch": 0.68, + "learning_rate": 2.4448604021243485e-06, + "loss": 0.7184, + "step": 10003 + }, + { + "epoch": 0.68, + "learning_rate": 2.4439133540788566e-06, + "loss": 0.7709, + "step": 10004 + }, + { + "epoch": 0.68, + "learning_rate": 2.4429664301642763e-06, + "loss": 0.6028, + "step": 10005 + }, + { + "epoch": 0.68, + "learning_rate": 2.4420196304265916e-06, + "loss": 0.77, + "step": 10006 + }, + { + "epoch": 0.68, + "learning_rate": 2.4410729549117824e-06, + "loss": 0.6651, + "step": 10007 + }, + { + "epoch": 0.68, + "learning_rate": 2.4401264036658216e-06, + "loss": 0.5642, + "step": 10008 + }, + { + "epoch": 0.68, + "learning_rate": 2.439179976734677e-06, + "loss": 0.8333, + "step": 10009 + }, + { + "epoch": 0.68, + "learning_rate": 2.4382336741643093e-06, + "loss": 1.1526, + "step": 10010 + }, + { + "epoch": 0.68, + "learning_rate": 2.437287496000674e-06, + "loss": 0.7273, + "step": 10011 + }, + { + "epoch": 0.68, + "learning_rate": 2.4363414422897218e-06, + "loss": 0.7927, + "step": 10012 + }, + { + "epoch": 0.68, + "learning_rate": 2.4353955130773906e-06, + "loss": 0.7807, + "step": 10013 + }, + { + "epoch": 0.68, + "learning_rate": 2.4344497084096224e-06, + "loss": 0.9098, + "step": 10014 + }, + { + "epoch": 0.68, + "learning_rate": 2.433504028332349e-06, + "loss": 0.6575, + "step": 10015 + }, + { + "epoch": 0.68, + "learning_rate": 2.432558472891489e-06, + "loss": 0.8339, + "step": 10016 + }, + { + "epoch": 0.68, + "learning_rate": 2.4316130421329696e-06, + "loss": 0.677, + "step": 10017 + }, + { + "epoch": 0.68, + "learning_rate": 2.430667736102697e-06, + "loss": 0.7239, + "step": 10018 + }, + { + "epoch": 0.68, + "learning_rate": 2.4297225548465786e-06, + "loss": 0.6906, + "step": 10019 + }, + { + "epoch": 0.68, + "learning_rate": 2.428777498410521e-06, + "loss": 0.5862, + "step": 10020 + }, + { + "epoch": 0.68, + "learning_rate": 2.427832566840412e-06, + "loss": 0.5669, + "step": 10021 + }, + { + "epoch": 0.68, + "learning_rate": 2.4268877601821422e-06, + "loss": 0.4955, + "step": 10022 + }, + { + "epoch": 0.68, + "learning_rate": 2.425943078481598e-06, + "loss": 0.8091, + "step": 10023 + }, + { + "epoch": 0.68, + "learning_rate": 2.4249985217846504e-06, + "loss": 0.737, + "step": 10024 + }, + { + "epoch": 0.68, + "learning_rate": 2.4240540901371727e-06, + "loss": 1.0341, + "step": 10025 + }, + { + "epoch": 0.68, + "learning_rate": 2.423109783585029e-06, + "loss": 0.7628, + "step": 10026 + }, + { + "epoch": 0.68, + "learning_rate": 2.4221656021740765e-06, + "loss": 0.9103, + "step": 10027 + }, + { + "epoch": 0.68, + "learning_rate": 2.4212215459501676e-06, + "loss": 0.607, + "step": 10028 + }, + { + "epoch": 0.68, + "learning_rate": 2.4202776149591494e-06, + "loss": 0.5194, + "step": 10029 + }, + { + "epoch": 0.68, + "learning_rate": 2.419333809246861e-06, + "loss": 0.6895, + "step": 10030 + }, + { + "epoch": 0.68, + "learning_rate": 2.4183901288591364e-06, + "loss": 0.8242, + "step": 10031 + }, + { + "epoch": 0.68, + "learning_rate": 2.4174465738418044e-06, + "loss": 1.0327, + "step": 10032 + }, + { + "epoch": 0.68, + "learning_rate": 2.4165031442406857e-06, + "loss": 0.6122, + "step": 10033 + }, + { + "epoch": 0.68, + "learning_rate": 2.415559840101598e-06, + "loss": 0.6894, + "step": 10034 + }, + { + "epoch": 0.68, + "learning_rate": 2.4146166614703454e-06, + "loss": 0.7945, + "step": 10035 + }, + { + "epoch": 0.68, + "learning_rate": 2.4136736083927364e-06, + "loss": 0.6893, + "step": 10036 + }, + { + "epoch": 0.68, + "learning_rate": 2.4127306809145695e-06, + "loss": 0.8013, + "step": 10037 + }, + { + "epoch": 0.68, + "learning_rate": 2.4117878790816295e-06, + "loss": 0.5806, + "step": 10038 + }, + { + "epoch": 0.68, + "learning_rate": 2.410845202939708e-06, + "loss": 0.6411, + "step": 10039 + }, + { + "epoch": 0.68, + "learning_rate": 2.409902652534583e-06, + "loss": 0.6278, + "step": 10040 + }, + { + "epoch": 0.68, + "learning_rate": 2.4089602279120224e-06, + "loss": 0.7849, + "step": 10041 + }, + { + "epoch": 0.68, + "learning_rate": 2.4080179291177983e-06, + "loss": 0.9617, + "step": 10042 + }, + { + "epoch": 0.68, + "learning_rate": 2.407075756197672e-06, + "loss": 0.7843, + "step": 10043 + }, + { + "epoch": 0.68, + "learning_rate": 2.406133709197392e-06, + "loss": 0.6535, + "step": 10044 + }, + { + "epoch": 0.68, + "learning_rate": 2.405191788162715e-06, + "loss": 0.8391, + "step": 10045 + }, + { + "epoch": 0.68, + "learning_rate": 2.404249993139377e-06, + "loss": 0.6492, + "step": 10046 + }, + { + "epoch": 0.68, + "learning_rate": 2.403308324173115e-06, + "loss": 0.6957, + "step": 10047 + }, + { + "epoch": 0.68, + "learning_rate": 2.4023667813096636e-06, + "loss": 0.6168, + "step": 10048 + }, + { + "epoch": 0.68, + "learning_rate": 2.401425364594742e-06, + "loss": 0.4996, + "step": 10049 + }, + { + "epoch": 0.68, + "learning_rate": 2.4004840740740702e-06, + "loss": 0.8149, + "step": 10050 + }, + { + "epoch": 0.68, + "learning_rate": 2.3995429097933596e-06, + "loss": 0.5321, + "step": 10051 + }, + { + "epoch": 0.68, + "learning_rate": 2.3986018717983166e-06, + "loss": 0.8419, + "step": 10052 + }, + { + "epoch": 0.68, + "learning_rate": 2.3976609601346395e-06, + "loss": 0.7825, + "step": 10053 + }, + { + "epoch": 0.68, + "learning_rate": 2.3967201748480223e-06, + "loss": 0.6461, + "step": 10054 + }, + { + "epoch": 0.68, + "learning_rate": 2.395779515984152e-06, + "loss": 0.8344, + "step": 10055 + }, + { + "epoch": 0.68, + "learning_rate": 2.39483898358871e-06, + "loss": 0.9558, + "step": 10056 + }, + { + "epoch": 0.68, + "learning_rate": 2.393898577707371e-06, + "loss": 1.0005, + "step": 10057 + }, + { + "epoch": 0.68, + "learning_rate": 2.392958298385804e-06, + "loss": 0.8305, + "step": 10058 + }, + { + "epoch": 0.68, + "learning_rate": 2.3920181456696717e-06, + "loss": 0.9059, + "step": 10059 + }, + { + "epoch": 0.68, + "learning_rate": 2.39107811960463e-06, + "loss": 0.7099, + "step": 10060 + }, + { + "epoch": 0.68, + "learning_rate": 2.3901382202363306e-06, + "loss": 0.7378, + "step": 10061 + }, + { + "epoch": 0.68, + "learning_rate": 2.389198447610418e-06, + "loss": 0.5264, + "step": 10062 + }, + { + "epoch": 0.68, + "learning_rate": 2.3882588017725263e-06, + "loss": 0.5352, + "step": 10063 + }, + { + "epoch": 0.68, + "learning_rate": 2.3873192827682913e-06, + "loss": 0.7971, + "step": 10064 + }, + { + "epoch": 0.68, + "learning_rate": 2.3863798906433396e-06, + "loss": 0.7388, + "step": 10065 + }, + { + "epoch": 0.68, + "learning_rate": 2.385440625443287e-06, + "loss": 0.825, + "step": 10066 + }, + { + "epoch": 0.68, + "learning_rate": 2.3845014872137473e-06, + "loss": 1.089, + "step": 10067 + }, + { + "epoch": 0.69, + "learning_rate": 2.383562476000333e-06, + "loss": 0.9315, + "step": 10068 + }, + { + "epoch": 0.69, + "learning_rate": 2.382623591848639e-06, + "loss": 0.4911, + "step": 10069 + }, + { + "epoch": 0.69, + "learning_rate": 2.381684834804261e-06, + "loss": 0.9595, + "step": 10070 + }, + { + "epoch": 0.69, + "learning_rate": 2.3807462049127934e-06, + "loss": 0.6709, + "step": 10071 + }, + { + "epoch": 0.69, + "learning_rate": 2.3798077022198125e-06, + "loss": 0.632, + "step": 10072 + }, + { + "epoch": 0.69, + "learning_rate": 2.3788693267708975e-06, + "loss": 0.7537, + "step": 10073 + }, + { + "epoch": 0.69, + "learning_rate": 2.377931078611617e-06, + "loss": 0.7806, + "step": 10074 + }, + { + "epoch": 0.69, + "learning_rate": 2.3769929577875365e-06, + "loss": 0.7408, + "step": 10075 + }, + { + "epoch": 0.69, + "learning_rate": 2.376054964344214e-06, + "loss": 0.426, + "step": 10076 + }, + { + "epoch": 0.69, + "learning_rate": 2.3751170983272e-06, + "loss": 0.8513, + "step": 10077 + }, + { + "epoch": 0.69, + "learning_rate": 2.374179359782041e-06, + "loss": 0.6854, + "step": 10078 + }, + { + "epoch": 0.69, + "learning_rate": 2.3732417487542746e-06, + "loss": 0.433, + "step": 10079 + }, + { + "epoch": 0.69, + "learning_rate": 2.372304265289436e-06, + "loss": 0.8947, + "step": 10080 + }, + { + "epoch": 0.69, + "learning_rate": 2.371366909433051e-06, + "loss": 0.6247, + "step": 10081 + }, + { + "epoch": 0.69, + "learning_rate": 2.3704296812306405e-06, + "loss": 0.5238, + "step": 10082 + }, + { + "epoch": 0.69, + "learning_rate": 2.369492580727719e-06, + "loss": 0.65, + "step": 10083 + }, + { + "epoch": 0.69, + "learning_rate": 2.3685556079697948e-06, + "loss": 0.7604, + "step": 10084 + }, + { + "epoch": 0.69, + "learning_rate": 2.3676187630023717e-06, + "loss": 0.7783, + "step": 10085 + }, + { + "epoch": 0.69, + "learning_rate": 2.36668204587094e-06, + "loss": 0.7687, + "step": 10086 + }, + { + "epoch": 0.69, + "learning_rate": 2.3657454566209952e-06, + "loss": 0.5171, + "step": 10087 + }, + { + "epoch": 0.69, + "learning_rate": 2.3648089952980204e-06, + "loss": 0.4979, + "step": 10088 + }, + { + "epoch": 0.69, + "learning_rate": 2.363872661947488e-06, + "loss": 0.8408, + "step": 10089 + }, + { + "epoch": 0.69, + "learning_rate": 2.3629364566148735e-06, + "loss": 0.9195, + "step": 10090 + }, + { + "epoch": 0.69, + "learning_rate": 2.3620003793456426e-06, + "loss": 0.7863, + "step": 10091 + }, + { + "epoch": 0.69, + "learning_rate": 2.3610644301852483e-06, + "loss": 0.4361, + "step": 10092 + }, + { + "epoch": 0.69, + "learning_rate": 2.3601286091791496e-06, + "loss": 0.6907, + "step": 10093 + }, + { + "epoch": 0.69, + "learning_rate": 2.3591929163727876e-06, + "loss": 0.4981, + "step": 10094 + }, + { + "epoch": 0.69, + "learning_rate": 2.358257351811603e-06, + "loss": 0.5981, + "step": 10095 + }, + { + "epoch": 0.69, + "learning_rate": 2.357321915541034e-06, + "loss": 0.6287, + "step": 10096 + }, + { + "epoch": 0.69, + "learning_rate": 2.356386607606503e-06, + "loss": 0.7058, + "step": 10097 + }, + { + "epoch": 0.69, + "learning_rate": 2.3554514280534306e-06, + "loss": 0.9854, + "step": 10098 + }, + { + "epoch": 0.69, + "learning_rate": 2.3545163769272383e-06, + "loss": 0.8718, + "step": 10099 + }, + { + "epoch": 0.69, + "learning_rate": 2.353581454273329e-06, + "loss": 0.5776, + "step": 10100 + }, + { + "epoch": 0.69, + "learning_rate": 2.3526466601371067e-06, + "loss": 0.7808, + "step": 10101 + }, + { + "epoch": 0.69, + "learning_rate": 2.351711994563968e-06, + "loss": 0.5399, + "step": 10102 + }, + { + "epoch": 0.69, + "learning_rate": 2.350777457599303e-06, + "loss": 0.612, + "step": 10103 + }, + { + "epoch": 0.69, + "learning_rate": 2.3498430492884953e-06, + "loss": 0.8764, + "step": 10104 + }, + { + "epoch": 0.69, + "learning_rate": 2.3489087696769225e-06, + "loss": 0.7918, + "step": 10105 + }, + { + "epoch": 0.69, + "learning_rate": 2.347974618809956e-06, + "loss": 0.7532, + "step": 10106 + }, + { + "epoch": 0.69, + "learning_rate": 2.3470405967329605e-06, + "loss": 0.4974, + "step": 10107 + }, + { + "epoch": 0.69, + "learning_rate": 2.346106703491296e-06, + "loss": 0.5785, + "step": 10108 + }, + { + "epoch": 0.69, + "learning_rate": 2.3451729391303137e-06, + "loss": 0.6807, + "step": 10109 + }, + { + "epoch": 0.69, + "learning_rate": 2.3442393036953614e-06, + "loss": 0.5066, + "step": 10110 + }, + { + "epoch": 0.69, + "learning_rate": 2.343305797231775e-06, + "loss": 0.6462, + "step": 10111 + }, + { + "epoch": 0.69, + "learning_rate": 2.342372419784893e-06, + "loss": 0.8738, + "step": 10112 + }, + { + "epoch": 0.69, + "learning_rate": 2.3414391714000435e-06, + "loss": 0.7449, + "step": 10113 + }, + { + "epoch": 0.69, + "learning_rate": 2.340506052122541e-06, + "loss": 0.4941, + "step": 10114 + }, + { + "epoch": 0.69, + "learning_rate": 2.339573061997707e-06, + "loss": 0.9178, + "step": 10115 + }, + { + "epoch": 0.69, + "learning_rate": 2.3386402010708496e-06, + "loss": 0.7362, + "step": 10116 + }, + { + "epoch": 0.69, + "learning_rate": 2.3377074693872664e-06, + "loss": 1.0007, + "step": 10117 + }, + { + "epoch": 0.69, + "learning_rate": 2.3367748669922583e-06, + "loss": 0.6155, + "step": 10118 + }, + { + "epoch": 0.69, + "learning_rate": 2.335842393931116e-06, + "loss": 0.6819, + "step": 10119 + }, + { + "epoch": 0.69, + "learning_rate": 2.3349100502491163e-06, + "loss": 0.9648, + "step": 10120 + }, + { + "epoch": 0.69, + "learning_rate": 2.333977835991545e-06, + "loss": 0.6044, + "step": 10121 + }, + { + "epoch": 0.69, + "learning_rate": 2.333045751203667e-06, + "loss": 0.9521, + "step": 10122 + }, + { + "epoch": 0.69, + "learning_rate": 2.332113795930749e-06, + "loss": 0.3229, + "step": 10123 + }, + { + "epoch": 0.69, + "learning_rate": 2.3311819702180494e-06, + "loss": 0.7577, + "step": 10124 + }, + { + "epoch": 0.69, + "learning_rate": 2.33025027411082e-06, + "loss": 0.5125, + "step": 10125 + }, + { + "epoch": 0.69, + "learning_rate": 2.3293187076543076e-06, + "loss": 0.5509, + "step": 10126 + }, + { + "epoch": 0.69, + "learning_rate": 2.328387270893751e-06, + "loss": 0.7645, + "step": 10127 + }, + { + "epoch": 0.69, + "learning_rate": 2.3274559638743834e-06, + "loss": 0.7789, + "step": 10128 + }, + { + "epoch": 0.69, + "learning_rate": 2.326524786641432e-06, + "loss": 0.5738, + "step": 10129 + }, + { + "epoch": 0.69, + "learning_rate": 2.3255937392401174e-06, + "loss": 0.6227, + "step": 10130 + }, + { + "epoch": 0.69, + "learning_rate": 2.3246628217156536e-06, + "loss": 0.5061, + "step": 10131 + }, + { + "epoch": 0.69, + "learning_rate": 2.32373203411325e-06, + "loss": 1.072, + "step": 10132 + }, + { + "epoch": 0.69, + "learning_rate": 2.322801376478106e-06, + "loss": 0.8194, + "step": 10133 + }, + { + "epoch": 0.69, + "learning_rate": 2.321870848855419e-06, + "loss": 0.7769, + "step": 10134 + }, + { + "epoch": 0.69, + "learning_rate": 2.3209404512903764e-06, + "loss": 0.3704, + "step": 10135 + }, + { + "epoch": 0.69, + "learning_rate": 2.320010183828163e-06, + "loss": 0.6532, + "step": 10136 + }, + { + "epoch": 0.69, + "learning_rate": 2.319080046513954e-06, + "loss": 0.8495, + "step": 10137 + }, + { + "epoch": 0.69, + "learning_rate": 2.3181500393929215e-06, + "loss": 0.6614, + "step": 10138 + }, + { + "epoch": 0.69, + "learning_rate": 2.3172201625102235e-06, + "loss": 0.8691, + "step": 10139 + }, + { + "epoch": 0.69, + "learning_rate": 2.316290415911023e-06, + "loss": 0.6157, + "step": 10140 + }, + { + "epoch": 0.69, + "learning_rate": 2.3153607996404726e-06, + "loss": 0.8185, + "step": 10141 + }, + { + "epoch": 0.69, + "learning_rate": 2.3144313137437125e-06, + "loss": 0.6667, + "step": 10142 + }, + { + "epoch": 0.69, + "learning_rate": 2.3135019582658803e-06, + "loss": 0.6553, + "step": 10143 + }, + { + "epoch": 0.69, + "learning_rate": 2.312572733252115e-06, + "loss": 0.4164, + "step": 10144 + }, + { + "epoch": 0.69, + "learning_rate": 2.311643638747536e-06, + "loss": 0.7596, + "step": 10145 + }, + { + "epoch": 0.69, + "learning_rate": 2.3107146747972637e-06, + "loss": 0.6851, + "step": 10146 + }, + { + "epoch": 0.69, + "learning_rate": 2.3097858414464157e-06, + "loss": 0.4551, + "step": 10147 + }, + { + "epoch": 0.69, + "learning_rate": 2.308857138740095e-06, + "loss": 0.7815, + "step": 10148 + }, + { + "epoch": 0.69, + "learning_rate": 2.3079285667234017e-06, + "loss": 0.6788, + "step": 10149 + }, + { + "epoch": 0.69, + "learning_rate": 2.3070001254414317e-06, + "loss": 0.8022, + "step": 10150 + }, + { + "epoch": 0.69, + "learning_rate": 2.3060718149392713e-06, + "loss": 0.7729, + "step": 10151 + }, + { + "epoch": 0.69, + "learning_rate": 2.305143635262004e-06, + "loss": 0.7104, + "step": 10152 + }, + { + "epoch": 0.69, + "learning_rate": 2.3042155864547024e-06, + "loss": 1.0209, + "step": 10153 + }, + { + "epoch": 0.69, + "learning_rate": 2.303287668562437e-06, + "loss": 0.6479, + "step": 10154 + }, + { + "epoch": 0.69, + "learning_rate": 2.3023598816302694e-06, + "loss": 0.8996, + "step": 10155 + }, + { + "epoch": 0.69, + "learning_rate": 2.3014322257032555e-06, + "loss": 0.7722, + "step": 10156 + }, + { + "epoch": 0.69, + "learning_rate": 2.3005047008264457e-06, + "loss": 0.8066, + "step": 10157 + }, + { + "epoch": 0.69, + "learning_rate": 2.299577307044883e-06, + "loss": 0.5984, + "step": 10158 + }, + { + "epoch": 0.69, + "learning_rate": 2.2986500444036037e-06, + "loss": 0.6815, + "step": 10159 + }, + { + "epoch": 0.69, + "learning_rate": 2.2977229129476386e-06, + "loss": 0.5535, + "step": 10160 + }, + { + "epoch": 0.69, + "learning_rate": 2.296795912722014e-06, + "loss": 0.5808, + "step": 10161 + }, + { + "epoch": 0.69, + "learning_rate": 2.295869043771742e-06, + "loss": 0.9922, + "step": 10162 + }, + { + "epoch": 0.69, + "learning_rate": 2.2949423061418397e-06, + "loss": 0.6315, + "step": 10163 + }, + { + "epoch": 0.69, + "learning_rate": 2.2940156998773117e-06, + "loss": 0.6253, + "step": 10164 + }, + { + "epoch": 0.69, + "learning_rate": 2.293089225023152e-06, + "loss": 0.681, + "step": 10165 + }, + { + "epoch": 0.69, + "learning_rate": 2.2921628816243566e-06, + "loss": 0.6176, + "step": 10166 + }, + { + "epoch": 0.69, + "learning_rate": 2.2912366697259137e-06, + "loss": 0.5267, + "step": 10167 + }, + { + "epoch": 0.69, + "learning_rate": 2.2903105893727962e-06, + "loss": 0.706, + "step": 10168 + }, + { + "epoch": 0.69, + "learning_rate": 2.2893846406099847e-06, + "loss": 0.623, + "step": 10169 + }, + { + "epoch": 0.69, + "learning_rate": 2.2884588234824395e-06, + "loss": 0.4648, + "step": 10170 + }, + { + "epoch": 0.69, + "learning_rate": 2.2875331380351225e-06, + "loss": 0.8786, + "step": 10171 + }, + { + "epoch": 0.69, + "learning_rate": 2.286607584312992e-06, + "loss": 0.6268, + "step": 10172 + }, + { + "epoch": 0.69, + "learning_rate": 2.285682162360991e-06, + "loss": 0.6489, + "step": 10173 + }, + { + "epoch": 0.69, + "learning_rate": 2.2847568722240592e-06, + "loss": 0.543, + "step": 10174 + }, + { + "epoch": 0.69, + "learning_rate": 2.2838317139471385e-06, + "loss": 0.7583, + "step": 10175 + }, + { + "epoch": 0.69, + "learning_rate": 2.282906687575151e-06, + "loss": 0.7914, + "step": 10176 + }, + { + "epoch": 0.69, + "learning_rate": 2.28198179315302e-06, + "loss": 0.6419, + "step": 10177 + }, + { + "epoch": 0.69, + "learning_rate": 2.281057030725662e-06, + "loss": 0.6136, + "step": 10178 + }, + { + "epoch": 0.69, + "learning_rate": 2.2801324003379854e-06, + "loss": 0.7432, + "step": 10179 + }, + { + "epoch": 0.69, + "learning_rate": 2.279207902034893e-06, + "loss": 0.8418, + "step": 10180 + }, + { + "epoch": 0.69, + "learning_rate": 2.278283535861281e-06, + "loss": 0.5974, + "step": 10181 + }, + { + "epoch": 0.69, + "learning_rate": 2.27735930186204e-06, + "loss": 0.6093, + "step": 10182 + }, + { + "epoch": 0.69, + "learning_rate": 2.2764352000820526e-06, + "loss": 0.7571, + "step": 10183 + }, + { + "epoch": 0.69, + "learning_rate": 2.2755112305661966e-06, + "loss": 0.6214, + "step": 10184 + }, + { + "epoch": 0.69, + "learning_rate": 2.274587393359342e-06, + "loss": 0.494, + "step": 10185 + }, + { + "epoch": 0.69, + "learning_rate": 2.2736636885063545e-06, + "loss": 0.8009, + "step": 10186 + }, + { + "epoch": 0.69, + "learning_rate": 2.272740116052088e-06, + "loss": 0.5566, + "step": 10187 + }, + { + "epoch": 0.69, + "learning_rate": 2.2718166760413974e-06, + "loss": 0.7195, + "step": 10188 + }, + { + "epoch": 0.69, + "learning_rate": 2.2708933685191285e-06, + "loss": 0.6407, + "step": 10189 + }, + { + "epoch": 0.69, + "learning_rate": 2.2699701935301144e-06, + "loss": 0.8626, + "step": 10190 + }, + { + "epoch": 0.69, + "learning_rate": 2.2690471511191918e-06, + "loss": 0.5303, + "step": 10191 + }, + { + "epoch": 0.69, + "learning_rate": 2.268124241331188e-06, + "loss": 0.7183, + "step": 10192 + }, + { + "epoch": 0.69, + "learning_rate": 2.267201464210915e-06, + "loss": 0.7423, + "step": 10193 + }, + { + "epoch": 0.69, + "learning_rate": 2.266278819803191e-06, + "loss": 0.5012, + "step": 10194 + }, + { + "epoch": 0.69, + "learning_rate": 2.2653563081528236e-06, + "loss": 0.599, + "step": 10195 + }, + { + "epoch": 0.69, + "learning_rate": 2.264433929304608e-06, + "loss": 0.8363, + "step": 10196 + }, + { + "epoch": 0.69, + "learning_rate": 2.263511683303339e-06, + "loss": 1.06, + "step": 10197 + }, + { + "epoch": 0.69, + "learning_rate": 2.262589570193805e-06, + "loss": 0.6803, + "step": 10198 + }, + { + "epoch": 0.69, + "learning_rate": 2.261667590020785e-06, + "loss": 0.7427, + "step": 10199 + }, + { + "epoch": 0.69, + "learning_rate": 2.260745742829054e-06, + "loss": 0.8549, + "step": 10200 + }, + { + "epoch": 0.69, + "learning_rate": 2.2598240286633787e-06, + "loss": 1.0277, + "step": 10201 + }, + { + "epoch": 0.69, + "learning_rate": 2.2589024475685206e-06, + "loss": 0.7536, + "step": 10202 + }, + { + "epoch": 0.69, + "learning_rate": 2.2579809995892343e-06, + "loss": 0.8573, + "step": 10203 + }, + { + "epoch": 0.69, + "learning_rate": 2.2570596847702687e-06, + "loss": 0.7442, + "step": 10204 + }, + { + "epoch": 0.69, + "learning_rate": 2.256138503156364e-06, + "loss": 0.8743, + "step": 10205 + }, + { + "epoch": 0.69, + "learning_rate": 2.255217454792256e-06, + "loss": 0.6939, + "step": 10206 + }, + { + "epoch": 0.69, + "learning_rate": 2.254296539722674e-06, + "loss": 0.8654, + "step": 10207 + }, + { + "epoch": 0.69, + "learning_rate": 2.2533757579923405e-06, + "loss": 0.9377, + "step": 10208 + }, + { + "epoch": 0.69, + "learning_rate": 2.2524551096459703e-06, + "loss": 0.9328, + "step": 10209 + }, + { + "epoch": 0.69, + "learning_rate": 2.251534594728273e-06, + "loss": 0.8112, + "step": 10210 + }, + { + "epoch": 0.69, + "learning_rate": 2.2506142132839516e-06, + "loss": 0.8442, + "step": 10211 + }, + { + "epoch": 0.69, + "learning_rate": 2.2496939653577027e-06, + "loss": 0.2898, + "step": 10212 + }, + { + "epoch": 0.69, + "learning_rate": 2.2487738509942157e-06, + "loss": 0.633, + "step": 10213 + }, + { + "epoch": 0.69, + "learning_rate": 2.247853870238176e-06, + "loss": 0.6386, + "step": 10214 + }, + { + "epoch": 0.7, + "learning_rate": 2.246934023134257e-06, + "loss": 0.7704, + "step": 10215 + }, + { + "epoch": 0.7, + "learning_rate": 2.24601430972713e-06, + "loss": 0.9708, + "step": 10216 + }, + { + "epoch": 0.7, + "learning_rate": 2.245094730061463e-06, + "loss": 0.725, + "step": 10217 + }, + { + "epoch": 0.7, + "learning_rate": 2.244175284181908e-06, + "loss": 1.0033, + "step": 10218 + }, + { + "epoch": 0.7, + "learning_rate": 2.2432559721331165e-06, + "loss": 0.8437, + "step": 10219 + }, + { + "epoch": 0.7, + "learning_rate": 2.2423367939597384e-06, + "loss": 0.5898, + "step": 10220 + }, + { + "epoch": 0.7, + "learning_rate": 2.241417749706406e-06, + "loss": 0.8336, + "step": 10221 + }, + { + "epoch": 0.7, + "learning_rate": 2.240498839417751e-06, + "loss": 0.9311, + "step": 10222 + }, + { + "epoch": 0.7, + "learning_rate": 2.239580063138403e-06, + "loss": 0.9785, + "step": 10223 + }, + { + "epoch": 0.7, + "learning_rate": 2.2386614209129754e-06, + "loss": 0.7461, + "step": 10224 + }, + { + "epoch": 0.7, + "learning_rate": 2.237742912786082e-06, + "loss": 0.5989, + "step": 10225 + }, + { + "epoch": 0.7, + "learning_rate": 2.2368245388023293e-06, + "loss": 0.504, + "step": 10226 + }, + { + "epoch": 0.7, + "learning_rate": 2.235906299006314e-06, + "loss": 0.914, + "step": 10227 + }, + { + "epoch": 0.7, + "learning_rate": 2.23498819344263e-06, + "loss": 0.7589, + "step": 10228 + }, + { + "epoch": 0.7, + "learning_rate": 2.2340702221558626e-06, + "loss": 0.7687, + "step": 10229 + }, + { + "epoch": 0.7, + "learning_rate": 2.2331523851905913e-06, + "loss": 0.6383, + "step": 10230 + }, + { + "epoch": 0.7, + "learning_rate": 2.232234682591389e-06, + "loss": 0.4938, + "step": 10231 + }, + { + "epoch": 0.7, + "learning_rate": 2.231317114402822e-06, + "loss": 0.9202, + "step": 10232 + }, + { + "epoch": 0.7, + "learning_rate": 2.230399680669449e-06, + "loss": 0.7008, + "step": 10233 + }, + { + "epoch": 0.7, + "learning_rate": 2.2294823814358263e-06, + "loss": 0.6874, + "step": 10234 + }, + { + "epoch": 0.7, + "learning_rate": 2.228565216746495e-06, + "loss": 0.5032, + "step": 10235 + }, + { + "epoch": 0.7, + "learning_rate": 2.227648186646e-06, + "loss": 0.8099, + "step": 10236 + }, + { + "epoch": 0.7, + "learning_rate": 2.226731291178875e-06, + "loss": 1.0565, + "step": 10237 + }, + { + "epoch": 0.7, + "learning_rate": 2.2258145303896427e-06, + "loss": 0.6419, + "step": 10238 + }, + { + "epoch": 0.7, + "learning_rate": 2.224897904322828e-06, + "loss": 0.6754, + "step": 10239 + }, + { + "epoch": 0.7, + "learning_rate": 2.2239814130229453e-06, + "loss": 0.6381, + "step": 10240 + }, + { + "epoch": 0.7, + "learning_rate": 2.223065056534497e-06, + "loss": 0.5597, + "step": 10241 + }, + { + "epoch": 0.7, + "learning_rate": 2.2221488349019903e-06, + "loss": 0.745, + "step": 10242 + }, + { + "epoch": 0.7, + "learning_rate": 2.2212327481699146e-06, + "loss": 0.6547, + "step": 10243 + }, + { + "epoch": 0.7, + "learning_rate": 2.220316796382758e-06, + "loss": 0.9064, + "step": 10244 + }, + { + "epoch": 0.7, + "learning_rate": 2.219400979585007e-06, + "loss": 0.5128, + "step": 10245 + }, + { + "epoch": 0.7, + "learning_rate": 2.21848529782113e-06, + "loss": 0.5893, + "step": 10246 + }, + { + "epoch": 0.7, + "learning_rate": 2.217569751135597e-06, + "loss": 0.8209, + "step": 10247 + }, + { + "epoch": 0.7, + "learning_rate": 2.2166543395728733e-06, + "loss": 0.6578, + "step": 10248 + }, + { + "epoch": 0.7, + "learning_rate": 2.215739063177409e-06, + "loss": 0.8459, + "step": 10249 + }, + { + "epoch": 0.7, + "learning_rate": 2.214823921993653e-06, + "loss": 0.6329, + "step": 10250 + }, + { + "epoch": 0.7, + "learning_rate": 2.213908916066052e-06, + "loss": 0.5418, + "step": 10251 + }, + { + "epoch": 0.7, + "learning_rate": 2.2129940454390364e-06, + "loss": 0.9739, + "step": 10252 + }, + { + "epoch": 0.7, + "learning_rate": 2.2120793101570366e-06, + "loss": 0.6174, + "step": 10253 + }, + { + "epoch": 0.7, + "learning_rate": 2.2111647102644744e-06, + "loss": 0.9471, + "step": 10254 + }, + { + "epoch": 0.7, + "learning_rate": 2.2102502458057656e-06, + "loss": 0.8812, + "step": 10255 + }, + { + "epoch": 0.7, + "learning_rate": 2.2093359168253197e-06, + "loss": 0.7448, + "step": 10256 + }, + { + "epoch": 0.7, + "learning_rate": 2.2084217233675386e-06, + "loss": 0.6141, + "step": 10257 + }, + { + "epoch": 0.7, + "learning_rate": 2.207507665476818e-06, + "loss": 0.6665, + "step": 10258 + }, + { + "epoch": 0.7, + "learning_rate": 2.206593743197548e-06, + "loss": 0.6206, + "step": 10259 + }, + { + "epoch": 0.7, + "learning_rate": 2.2056799565741105e-06, + "loss": 0.6427, + "step": 10260 + }, + { + "epoch": 0.7, + "learning_rate": 2.204766305650882e-06, + "loss": 0.7379, + "step": 10261 + }, + { + "epoch": 0.7, + "learning_rate": 2.2038527904722334e-06, + "loss": 0.7258, + "step": 10262 + }, + { + "epoch": 0.7, + "learning_rate": 2.2029394110825226e-06, + "loss": 0.965, + "step": 10263 + }, + { + "epoch": 0.7, + "learning_rate": 2.2020261675261112e-06, + "loss": 0.895, + "step": 10264 + }, + { + "epoch": 0.7, + "learning_rate": 2.2011130598473498e-06, + "loss": 0.5961, + "step": 10265 + }, + { + "epoch": 0.7, + "learning_rate": 2.2002000880905745e-06, + "loss": 0.8004, + "step": 10266 + }, + { + "epoch": 0.7, + "learning_rate": 2.199287252300128e-06, + "loss": 0.4771, + "step": 10267 + }, + { + "epoch": 0.7, + "learning_rate": 2.1983745525203404e-06, + "loss": 0.9348, + "step": 10268 + }, + { + "epoch": 0.7, + "learning_rate": 2.1974619887955294e-06, + "loss": 0.5877, + "step": 10269 + }, + { + "epoch": 0.7, + "learning_rate": 2.196549561170017e-06, + "loss": 0.7969, + "step": 10270 + }, + { + "epoch": 0.7, + "learning_rate": 2.1956372696881145e-06, + "loss": 0.7203, + "step": 10271 + }, + { + "epoch": 0.7, + "learning_rate": 2.19472511439412e-06, + "loss": 0.9231, + "step": 10272 + }, + { + "epoch": 0.7, + "learning_rate": 2.193813095332333e-06, + "loss": 0.6768, + "step": 10273 + }, + { + "epoch": 0.7, + "learning_rate": 2.192901212547044e-06, + "loss": 0.7568, + "step": 10274 + }, + { + "epoch": 0.7, + "learning_rate": 2.1919894660825362e-06, + "loss": 0.6075, + "step": 10275 + }, + { + "epoch": 0.7, + "learning_rate": 2.191077855983087e-06, + "loss": 0.5501, + "step": 10276 + }, + { + "epoch": 0.7, + "learning_rate": 2.1901663822929663e-06, + "loss": 0.6738, + "step": 10277 + }, + { + "epoch": 0.7, + "learning_rate": 2.189255045056439e-06, + "loss": 0.7393, + "step": 10278 + }, + { + "epoch": 0.7, + "learning_rate": 2.1883438443177607e-06, + "loss": 0.66, + "step": 10279 + }, + { + "epoch": 0.7, + "learning_rate": 2.1874327801211832e-06, + "loss": 0.4455, + "step": 10280 + }, + { + "epoch": 0.7, + "learning_rate": 2.1865218525109496e-06, + "loss": 0.4304, + "step": 10281 + }, + { + "epoch": 0.7, + "learning_rate": 2.1856110615312977e-06, + "loss": 1.081, + "step": 10282 + }, + { + "epoch": 0.7, + "learning_rate": 2.184700407226457e-06, + "loss": 0.5799, + "step": 10283 + }, + { + "epoch": 0.7, + "learning_rate": 2.1837898896406536e-06, + "loss": 0.7935, + "step": 10284 + }, + { + "epoch": 0.7, + "learning_rate": 2.1828795088181026e-06, + "loss": 0.5623, + "step": 10285 + }, + { + "epoch": 0.7, + "learning_rate": 2.181969264803017e-06, + "loss": 0.6564, + "step": 10286 + }, + { + "epoch": 0.7, + "learning_rate": 2.1810591576395985e-06, + "loss": 0.6841, + "step": 10287 + }, + { + "epoch": 0.7, + "learning_rate": 2.1801491873720456e-06, + "loss": 0.9261, + "step": 10288 + }, + { + "epoch": 0.7, + "learning_rate": 2.1792393540445493e-06, + "loss": 0.7475, + "step": 10289 + }, + { + "epoch": 0.7, + "learning_rate": 2.1783296577012957e-06, + "loss": 0.6621, + "step": 10290 + }, + { + "epoch": 0.7, + "learning_rate": 2.177420098386458e-06, + "loss": 0.645, + "step": 10291 + }, + { + "epoch": 0.7, + "learning_rate": 2.176510676144207e-06, + "loss": 0.8385, + "step": 10292 + }, + { + "epoch": 0.7, + "learning_rate": 2.175601391018713e-06, + "loss": 0.8363, + "step": 10293 + }, + { + "epoch": 0.7, + "learning_rate": 2.174692243054127e-06, + "loss": 0.7055, + "step": 10294 + }, + { + "epoch": 0.7, + "learning_rate": 2.173783232294601e-06, + "loss": 0.8586, + "step": 10295 + }, + { + "epoch": 0.7, + "learning_rate": 2.172874358784284e-06, + "loss": 0.7656, + "step": 10296 + }, + { + "epoch": 0.7, + "learning_rate": 2.171965622567308e-06, + "loss": 0.6846, + "step": 10297 + }, + { + "epoch": 0.7, + "learning_rate": 2.1710570236878042e-06, + "loss": 0.9716, + "step": 10298 + }, + { + "epoch": 0.7, + "learning_rate": 2.1701485621899014e-06, + "loss": 0.6793, + "step": 10299 + }, + { + "epoch": 0.7, + "learning_rate": 2.169240238117713e-06, + "loss": 0.9688, + "step": 10300 + }, + { + "epoch": 0.7, + "learning_rate": 2.1683320515153505e-06, + "loss": 0.5199, + "step": 10301 + }, + { + "epoch": 0.7, + "learning_rate": 2.167424002426919e-06, + "loss": 0.661, + "step": 10302 + }, + { + "epoch": 0.7, + "learning_rate": 2.166516090896515e-06, + "loss": 0.6549, + "step": 10303 + }, + { + "epoch": 0.7, + "learning_rate": 2.1656083169682296e-06, + "loss": 0.9817, + "step": 10304 + }, + { + "epoch": 0.7, + "learning_rate": 2.1647006806861472e-06, + "loss": 0.4107, + "step": 10305 + }, + { + "epoch": 0.7, + "learning_rate": 2.1637931820943446e-06, + "loss": 0.7316, + "step": 10306 + }, + { + "epoch": 0.7, + "learning_rate": 2.162885821236893e-06, + "loss": 0.671, + "step": 10307 + }, + { + "epoch": 0.7, + "learning_rate": 2.161978598157857e-06, + "loss": 0.6341, + "step": 10308 + }, + { + "epoch": 0.7, + "learning_rate": 2.1610715129012934e-06, + "loss": 0.652, + "step": 10309 + }, + { + "epoch": 0.7, + "learning_rate": 2.160164565511254e-06, + "loss": 0.5289, + "step": 10310 + }, + { + "epoch": 0.7, + "learning_rate": 2.1592577560317784e-06, + "loss": 0.6798, + "step": 10311 + }, + { + "epoch": 0.7, + "learning_rate": 2.1583510845069094e-06, + "loss": 0.9538, + "step": 10312 + }, + { + "epoch": 0.7, + "learning_rate": 2.1574445509806764e-06, + "loss": 0.9052, + "step": 10313 + }, + { + "epoch": 0.7, + "learning_rate": 2.1565381554970987e-06, + "loss": 0.7117, + "step": 10314 + }, + { + "epoch": 0.7, + "learning_rate": 2.155631898100199e-06, + "loss": 0.2946, + "step": 10315 + }, + { + "epoch": 0.7, + "learning_rate": 2.154725778833987e-06, + "loss": 0.5729, + "step": 10316 + }, + { + "epoch": 0.7, + "learning_rate": 2.153819797742462e-06, + "loss": 0.8527, + "step": 10317 + }, + { + "epoch": 0.7, + "learning_rate": 2.1529139548696277e-06, + "loss": 0.8952, + "step": 10318 + }, + { + "epoch": 0.7, + "learning_rate": 2.1520082502594686e-06, + "loss": 0.6132, + "step": 10319 + }, + { + "epoch": 0.7, + "learning_rate": 2.1511026839559696e-06, + "loss": 0.5684, + "step": 10320 + }, + { + "epoch": 0.7, + "learning_rate": 2.1501972560031115e-06, + "loss": 0.6753, + "step": 10321 + }, + { + "epoch": 0.7, + "learning_rate": 2.14929196644486e-06, + "loss": 0.6049, + "step": 10322 + }, + { + "epoch": 0.7, + "learning_rate": 2.148386815325179e-06, + "loss": 0.7921, + "step": 10323 + }, + { + "epoch": 0.7, + "learning_rate": 2.1474818026880297e-06, + "loss": 0.9051, + "step": 10324 + }, + { + "epoch": 0.7, + "learning_rate": 2.146576928577357e-06, + "loss": 0.7477, + "step": 10325 + }, + { + "epoch": 0.7, + "learning_rate": 2.1456721930371054e-06, + "loss": 0.7362, + "step": 10326 + }, + { + "epoch": 0.7, + "learning_rate": 2.144767596111213e-06, + "loss": 0.5395, + "step": 10327 + }, + { + "epoch": 0.7, + "learning_rate": 2.1438631378436083e-06, + "loss": 0.6539, + "step": 10328 + }, + { + "epoch": 0.7, + "learning_rate": 2.1429588182782147e-06, + "loss": 0.637, + "step": 10329 + }, + { + "epoch": 0.7, + "learning_rate": 2.1420546374589486e-06, + "loss": 0.929, + "step": 10330 + }, + { + "epoch": 0.7, + "learning_rate": 2.1411505954297197e-06, + "loss": 0.6996, + "step": 10331 + }, + { + "epoch": 0.7, + "learning_rate": 2.1402466922344306e-06, + "loss": 0.7445, + "step": 10332 + }, + { + "epoch": 0.7, + "learning_rate": 2.139342927916978e-06, + "loss": 0.4711, + "step": 10333 + }, + { + "epoch": 0.7, + "learning_rate": 2.138439302521251e-06, + "loss": 0.4928, + "step": 10334 + }, + { + "epoch": 0.7, + "learning_rate": 2.1375358160911325e-06, + "loss": 0.5397, + "step": 10335 + }, + { + "epoch": 0.7, + "learning_rate": 2.1366324686704974e-06, + "loss": 0.5488, + "step": 10336 + }, + { + "epoch": 0.7, + "learning_rate": 2.1357292603032158e-06, + "loss": 0.6424, + "step": 10337 + }, + { + "epoch": 0.7, + "learning_rate": 2.1348261910331517e-06, + "loss": 0.9495, + "step": 10338 + }, + { + "epoch": 0.7, + "learning_rate": 2.1339232609041553e-06, + "loss": 0.597, + "step": 10339 + }, + { + "epoch": 0.7, + "learning_rate": 2.1330204699600815e-06, + "loss": 0.4666, + "step": 10340 + }, + { + "epoch": 0.7, + "learning_rate": 2.132117818244771e-06, + "loss": 0.468, + "step": 10341 + }, + { + "epoch": 0.7, + "learning_rate": 2.1312153058020546e-06, + "loss": 0.7446, + "step": 10342 + }, + { + "epoch": 0.7, + "learning_rate": 2.1303129326757663e-06, + "loss": 0.6424, + "step": 10343 + }, + { + "epoch": 0.7, + "learning_rate": 2.1294106989097286e-06, + "loss": 0.7434, + "step": 10344 + }, + { + "epoch": 0.7, + "learning_rate": 2.1285086045477515e-06, + "loss": 0.651, + "step": 10345 + }, + { + "epoch": 0.7, + "learning_rate": 2.127606649633644e-06, + "loss": 0.5728, + "step": 10346 + }, + { + "epoch": 0.7, + "learning_rate": 2.1267048342112135e-06, + "loss": 0.7465, + "step": 10347 + }, + { + "epoch": 0.7, + "learning_rate": 2.1258031583242483e-06, + "loss": 0.5877, + "step": 10348 + }, + { + "epoch": 0.7, + "learning_rate": 2.124901622016539e-06, + "loss": 0.6722, + "step": 10349 + }, + { + "epoch": 0.7, + "learning_rate": 2.124000225331867e-06, + "loss": 0.5196, + "step": 10350 + }, + { + "epoch": 0.7, + "learning_rate": 2.123098968314006e-06, + "loss": 0.7681, + "step": 10351 + }, + { + "epoch": 0.7, + "learning_rate": 2.122197851006724e-06, + "loss": 0.5538, + "step": 10352 + }, + { + "epoch": 0.7, + "learning_rate": 2.1212968734537813e-06, + "loss": 0.785, + "step": 10353 + }, + { + "epoch": 0.7, + "learning_rate": 2.120396035698933e-06, + "loss": 0.872, + "step": 10354 + }, + { + "epoch": 0.7, + "learning_rate": 2.119495337785925e-06, + "loss": 0.5201, + "step": 10355 + }, + { + "epoch": 0.7, + "learning_rate": 2.1185947797584995e-06, + "loss": 0.5683, + "step": 10356 + }, + { + "epoch": 0.7, + "learning_rate": 2.1176943616603887e-06, + "loss": 0.857, + "step": 10357 + }, + { + "epoch": 0.7, + "learning_rate": 2.11679408353532e-06, + "loss": 0.7611, + "step": 10358 + }, + { + "epoch": 0.7, + "learning_rate": 2.1158939454270138e-06, + "loss": 0.9483, + "step": 10359 + }, + { + "epoch": 0.7, + "learning_rate": 2.114993947379183e-06, + "loss": 0.832, + "step": 10360 + }, + { + "epoch": 0.7, + "learning_rate": 2.1140940894355345e-06, + "loss": 0.7876, + "step": 10361 + }, + { + "epoch": 0.71, + "learning_rate": 2.1131943716397673e-06, + "loss": 0.6499, + "step": 10362 + }, + { + "epoch": 0.71, + "learning_rate": 2.112294794035575e-06, + "loss": 0.6482, + "step": 10363 + }, + { + "epoch": 0.71, + "learning_rate": 2.111395356666645e-06, + "loss": 0.5796, + "step": 10364 + }, + { + "epoch": 0.71, + "learning_rate": 2.110496059576651e-06, + "loss": 0.6768, + "step": 10365 + }, + { + "epoch": 0.71, + "learning_rate": 2.109596902809273e-06, + "loss": 0.6794, + "step": 10366 + }, + { + "epoch": 0.71, + "learning_rate": 2.108697886408172e-06, + "loss": 0.7356, + "step": 10367 + }, + { + "epoch": 0.71, + "learning_rate": 2.1077990104170053e-06, + "loss": 0.7497, + "step": 10368 + }, + { + "epoch": 0.71, + "learning_rate": 2.1069002748794316e-06, + "loss": 0.7938, + "step": 10369 + }, + { + "epoch": 0.71, + "learning_rate": 2.106001679839089e-06, + "loss": 0.7436, + "step": 10370 + }, + { + "epoch": 0.71, + "learning_rate": 2.105103225339618e-06, + "loss": 0.797, + "step": 10371 + }, + { + "epoch": 0.71, + "learning_rate": 2.1042049114246543e-06, + "loss": 0.819, + "step": 10372 + }, + { + "epoch": 0.71, + "learning_rate": 2.103306738137817e-06, + "loss": 0.7136, + "step": 10373 + }, + { + "epoch": 0.71, + "learning_rate": 2.102408705522725e-06, + "loss": 0.6089, + "step": 10374 + }, + { + "epoch": 0.71, + "learning_rate": 2.1015108136229934e-06, + "loss": 0.6867, + "step": 10375 + }, + { + "epoch": 0.71, + "learning_rate": 2.100613062482222e-06, + "loss": 0.8092, + "step": 10376 + }, + { + "epoch": 0.71, + "learning_rate": 2.09971545214401e-06, + "loss": 1.1937, + "step": 10377 + }, + { + "epoch": 0.71, + "learning_rate": 2.0988179826519472e-06, + "loss": 0.8807, + "step": 10378 + }, + { + "epoch": 0.71, + "learning_rate": 2.097920654049618e-06, + "loss": 0.842, + "step": 10379 + }, + { + "epoch": 0.71, + "learning_rate": 2.097023466380599e-06, + "loss": 0.8073, + "step": 10380 + }, + { + "epoch": 0.71, + "learning_rate": 2.0961264196884603e-06, + "loss": 0.5771, + "step": 10381 + }, + { + "epoch": 0.71, + "learning_rate": 2.0952295140167645e-06, + "loss": 0.7912, + "step": 10382 + }, + { + "epoch": 0.71, + "learning_rate": 2.0943327494090687e-06, + "loss": 0.894, + "step": 10383 + }, + { + "epoch": 0.71, + "learning_rate": 2.093436125908922e-06, + "loss": 0.7427, + "step": 10384 + }, + { + "epoch": 0.71, + "learning_rate": 2.0925396435598665e-06, + "loss": 0.841, + "step": 10385 + }, + { + "epoch": 0.71, + "learning_rate": 2.091643302405441e-06, + "loss": 0.888, + "step": 10386 + }, + { + "epoch": 0.71, + "learning_rate": 2.0907471024891684e-06, + "loss": 0.6223, + "step": 10387 + }, + { + "epoch": 0.71, + "learning_rate": 2.0898510438545754e-06, + "loss": 0.7912, + "step": 10388 + }, + { + "epoch": 0.71, + "learning_rate": 2.0889551265451787e-06, + "loss": 0.8519, + "step": 10389 + }, + { + "epoch": 0.71, + "learning_rate": 2.08805935060448e-06, + "loss": 0.9317, + "step": 10390 + }, + { + "epoch": 0.71, + "learning_rate": 2.0871637160759863e-06, + "loss": 0.5866, + "step": 10391 + }, + { + "epoch": 0.71, + "learning_rate": 2.0862682230031923e-06, + "loss": 0.682, + "step": 10392 + }, + { + "epoch": 0.71, + "learning_rate": 2.0853728714295807e-06, + "loss": 0.5534, + "step": 10393 + }, + { + "epoch": 0.71, + "learning_rate": 2.0844776613986394e-06, + "loss": 0.5744, + "step": 10394 + }, + { + "epoch": 0.71, + "learning_rate": 2.083582592953837e-06, + "loss": 0.6351, + "step": 10395 + }, + { + "epoch": 0.71, + "learning_rate": 2.0826876661386397e-06, + "loss": 0.7635, + "step": 10396 + }, + { + "epoch": 0.71, + "learning_rate": 2.0817928809965136e-06, + "loss": 0.8616, + "step": 10397 + }, + { + "epoch": 0.71, + "learning_rate": 2.080898237570908e-06, + "loss": 0.6317, + "step": 10398 + }, + { + "epoch": 0.71, + "learning_rate": 2.080003735905268e-06, + "loss": 0.7098, + "step": 10399 + }, + { + "epoch": 0.71, + "learning_rate": 2.079109376043038e-06, + "loss": 0.8374, + "step": 10400 + }, + { + "epoch": 0.71, + "learning_rate": 2.0782151580276467e-06, + "loss": 0.689, + "step": 10401 + }, + { + "epoch": 0.71, + "learning_rate": 2.077321081902521e-06, + "loss": 0.7381, + "step": 10402 + }, + { + "epoch": 0.71, + "learning_rate": 2.07642714771108e-06, + "loss": 0.6304, + "step": 10403 + }, + { + "epoch": 0.71, + "learning_rate": 2.075533355496735e-06, + "loss": 0.953, + "step": 10404 + }, + { + "epoch": 0.71, + "learning_rate": 2.074639705302892e-06, + "loss": 0.7702, + "step": 10405 + }, + { + "epoch": 0.71, + "learning_rate": 2.0737461971729496e-06, + "loss": 0.8037, + "step": 10406 + }, + { + "epoch": 0.71, + "learning_rate": 2.0728528311502977e-06, + "loss": 0.5978, + "step": 10407 + }, + { + "epoch": 0.71, + "learning_rate": 2.0719596072783223e-06, + "loss": 0.7735, + "step": 10408 + }, + { + "epoch": 0.71, + "learning_rate": 2.0710665256003994e-06, + "loss": 0.7345, + "step": 10409 + }, + { + "epoch": 0.71, + "learning_rate": 2.0701735861599005e-06, + "loss": 0.6643, + "step": 10410 + }, + { + "epoch": 0.71, + "learning_rate": 2.069280789000189e-06, + "loss": 0.7303, + "step": 10411 + }, + { + "epoch": 0.71, + "learning_rate": 2.0683881341646216e-06, + "loss": 0.8305, + "step": 10412 + }, + { + "epoch": 0.71, + "learning_rate": 2.0674956216965484e-06, + "loss": 0.5694, + "step": 10413 + }, + { + "epoch": 0.71, + "learning_rate": 2.066603251639315e-06, + "loss": 0.6803, + "step": 10414 + }, + { + "epoch": 0.71, + "learning_rate": 2.0657110240362506e-06, + "loss": 0.8202, + "step": 10415 + }, + { + "epoch": 0.71, + "learning_rate": 2.06481893893069e-06, + "loss": 0.6774, + "step": 10416 + }, + { + "epoch": 0.71, + "learning_rate": 2.0639269963659563e-06, + "loss": 0.6661, + "step": 10417 + }, + { + "epoch": 0.71, + "learning_rate": 2.063035196385359e-06, + "loss": 1.0236, + "step": 10418 + }, + { + "epoch": 0.71, + "learning_rate": 2.0621435390322116e-06, + "loss": 0.568, + "step": 10419 + }, + { + "epoch": 0.71, + "learning_rate": 2.0612520243498154e-06, + "loss": 0.7265, + "step": 10420 + }, + { + "epoch": 0.71, + "learning_rate": 2.060360652381461e-06, + "loss": 0.5899, + "step": 10421 + }, + { + "epoch": 0.71, + "learning_rate": 2.0594694231704375e-06, + "loss": 0.8162, + "step": 10422 + }, + { + "epoch": 0.71, + "learning_rate": 2.05857833676003e-06, + "loss": 0.7652, + "step": 10423 + }, + { + "epoch": 0.71, + "learning_rate": 2.0576873931935065e-06, + "loss": 0.804, + "step": 10424 + }, + { + "epoch": 0.71, + "learning_rate": 2.0567965925141366e-06, + "loss": 0.9514, + "step": 10425 + }, + { + "epoch": 0.71, + "learning_rate": 2.055905934765179e-06, + "loss": 0.8227, + "step": 10426 + }, + { + "epoch": 0.71, + "learning_rate": 2.0550154199898863e-06, + "loss": 0.6226, + "step": 10427 + }, + { + "epoch": 0.71, + "learning_rate": 2.054125048231506e-06, + "loss": 0.8454, + "step": 10428 + }, + { + "epoch": 0.71, + "learning_rate": 2.053234819533276e-06, + "loss": 1.04, + "step": 10429 + }, + { + "epoch": 0.71, + "learning_rate": 2.0523447339384293e-06, + "loss": 0.6246, + "step": 10430 + }, + { + "epoch": 0.71, + "learning_rate": 2.05145479149019e-06, + "loss": 0.5937, + "step": 10431 + }, + { + "epoch": 0.71, + "learning_rate": 2.0505649922317766e-06, + "loss": 0.5363, + "step": 10432 + }, + { + "epoch": 0.71, + "learning_rate": 2.0496753362064003e-06, + "loss": 0.7535, + "step": 10433 + }, + { + "epoch": 0.71, + "learning_rate": 2.0487858234572653e-06, + "loss": 0.9267, + "step": 10434 + }, + { + "epoch": 0.71, + "learning_rate": 2.0478964540275696e-06, + "loss": 0.7626, + "step": 10435 + }, + { + "epoch": 0.71, + "learning_rate": 2.0470072279605024e-06, + "loss": 0.6122, + "step": 10436 + }, + { + "epoch": 0.71, + "learning_rate": 2.0461181452992494e-06, + "loss": 0.871, + "step": 10437 + }, + { + "epoch": 0.71, + "learning_rate": 2.045229206086982e-06, + "loss": 0.6924, + "step": 10438 + }, + { + "epoch": 0.71, + "learning_rate": 2.0443404103668744e-06, + "loss": 0.789, + "step": 10439 + }, + { + "epoch": 0.71, + "learning_rate": 2.0434517581820893e-06, + "loss": 0.5588, + "step": 10440 + }, + { + "epoch": 0.71, + "learning_rate": 2.0425632495757776e-06, + "loss": 0.5351, + "step": 10441 + }, + { + "epoch": 0.71, + "learning_rate": 2.0416748845910933e-06, + "loss": 0.8381, + "step": 10442 + }, + { + "epoch": 0.71, + "learning_rate": 2.0407866632711742e-06, + "loss": 1.0421, + "step": 10443 + }, + { + "epoch": 0.71, + "learning_rate": 2.0398985856591543e-06, + "loss": 0.6338, + "step": 10444 + }, + { + "epoch": 0.71, + "learning_rate": 2.0390106517981656e-06, + "loss": 0.6438, + "step": 10445 + }, + { + "epoch": 0.71, + "learning_rate": 2.0381228617313247e-06, + "loss": 0.6915, + "step": 10446 + }, + { + "epoch": 0.71, + "learning_rate": 2.037235215501745e-06, + "loss": 0.7108, + "step": 10447 + }, + { + "epoch": 0.71, + "learning_rate": 2.0363477131525384e-06, + "loss": 0.752, + "step": 10448 + }, + { + "epoch": 0.71, + "learning_rate": 2.0354603547267985e-06, + "loss": 0.8037, + "step": 10449 + }, + { + "epoch": 0.71, + "learning_rate": 2.0345731402676187e-06, + "loss": 0.5128, + "step": 10450 + }, + { + "epoch": 0.71, + "learning_rate": 2.0336860698180905e-06, + "loss": 0.7132, + "step": 10451 + }, + { + "epoch": 0.71, + "learning_rate": 2.0327991434212865e-06, + "loss": 0.8787, + "step": 10452 + }, + { + "epoch": 0.71, + "learning_rate": 2.03191236112028e-06, + "loss": 0.705, + "step": 10453 + }, + { + "epoch": 0.71, + "learning_rate": 2.0310257229581358e-06, + "loss": 0.6302, + "step": 10454 + }, + { + "epoch": 0.71, + "learning_rate": 2.0301392289779125e-06, + "loss": 0.59, + "step": 10455 + }, + { + "epoch": 0.71, + "learning_rate": 2.0292528792226596e-06, + "loss": 0.4133, + "step": 10456 + }, + { + "epoch": 0.71, + "learning_rate": 2.028366673735421e-06, + "loss": 0.669, + "step": 10457 + }, + { + "epoch": 0.71, + "learning_rate": 2.0274806125592345e-06, + "loss": 0.9163, + "step": 10458 + }, + { + "epoch": 0.71, + "learning_rate": 2.0265946957371284e-06, + "loss": 0.8788, + "step": 10459 + }, + { + "epoch": 0.71, + "learning_rate": 2.0257089233121264e-06, + "loss": 0.7376, + "step": 10460 + }, + { + "epoch": 0.71, + "learning_rate": 2.0248232953272435e-06, + "loss": 0.7055, + "step": 10461 + }, + { + "epoch": 0.71, + "learning_rate": 2.0239378118254906e-06, + "loss": 0.7182, + "step": 10462 + }, + { + "epoch": 0.71, + "learning_rate": 2.023052472849863e-06, + "loss": 0.6366, + "step": 10463 + }, + { + "epoch": 0.71, + "learning_rate": 2.0221672784433616e-06, + "loss": 0.5941, + "step": 10464 + }, + { + "epoch": 0.71, + "learning_rate": 2.0212822286489737e-06, + "loss": 1.0067, + "step": 10465 + }, + { + "epoch": 0.71, + "learning_rate": 2.020397323509675e-06, + "loss": 0.8452, + "step": 10466 + }, + { + "epoch": 0.71, + "learning_rate": 2.019512563068443e-06, + "loss": 0.4545, + "step": 10467 + }, + { + "epoch": 0.71, + "learning_rate": 2.0186279473682458e-06, + "loss": 0.871, + "step": 10468 + }, + { + "epoch": 0.71, + "learning_rate": 2.0177434764520364e-06, + "loss": 0.8853, + "step": 10469 + }, + { + "epoch": 0.71, + "learning_rate": 2.016859150362775e-06, + "loss": 0.6505, + "step": 10470 + }, + { + "epoch": 0.71, + "learning_rate": 2.015974969143402e-06, + "loss": 0.7491, + "step": 10471 + }, + { + "epoch": 0.71, + "learning_rate": 2.0150909328368547e-06, + "loss": 0.7051, + "step": 10472 + }, + { + "epoch": 0.71, + "learning_rate": 2.0142070414860704e-06, + "loss": 0.7044, + "step": 10473 + }, + { + "epoch": 0.71, + "learning_rate": 2.013323295133968e-06, + "loss": 1.1511, + "step": 10474 + }, + { + "epoch": 0.71, + "learning_rate": 2.0124396938234663e-06, + "loss": 0.606, + "step": 10475 + }, + { + "epoch": 0.71, + "learning_rate": 2.0115562375974766e-06, + "loss": 0.5576, + "step": 10476 + }, + { + "epoch": 0.71, + "learning_rate": 2.0106729264989006e-06, + "loss": 0.7551, + "step": 10477 + }, + { + "epoch": 0.71, + "learning_rate": 2.009789760570636e-06, + "loss": 0.6595, + "step": 10478 + }, + { + "epoch": 0.71, + "learning_rate": 2.0089067398555697e-06, + "loss": 0.6772, + "step": 10479 + }, + { + "epoch": 0.71, + "learning_rate": 2.0080238643965853e-06, + "loss": 0.7472, + "step": 10480 + }, + { + "epoch": 0.71, + "learning_rate": 2.0071411342365582e-06, + "loss": 0.7331, + "step": 10481 + }, + { + "epoch": 0.71, + "learning_rate": 2.006258549418355e-06, + "loss": 0.8415, + "step": 10482 + }, + { + "epoch": 0.71, + "learning_rate": 2.0053761099848375e-06, + "loss": 0.635, + "step": 10483 + }, + { + "epoch": 0.71, + "learning_rate": 2.0044938159788585e-06, + "loss": 0.7808, + "step": 10484 + }, + { + "epoch": 0.71, + "learning_rate": 2.0036116674432653e-06, + "loss": 0.577, + "step": 10485 + }, + { + "epoch": 0.71, + "learning_rate": 2.0027296644208982e-06, + "loss": 0.7574, + "step": 10486 + }, + { + "epoch": 0.71, + "learning_rate": 2.001847806954589e-06, + "loss": 0.7899, + "step": 10487 + }, + { + "epoch": 0.71, + "learning_rate": 2.0009660950871634e-06, + "loss": 0.8183, + "step": 10488 + }, + { + "epoch": 0.71, + "learning_rate": 2.0000845288614396e-06, + "loss": 0.7147, + "step": 10489 + }, + { + "epoch": 0.71, + "learning_rate": 1.999203108320232e-06, + "loss": 0.889, + "step": 10490 + }, + { + "epoch": 0.71, + "learning_rate": 1.9983218335063376e-06, + "loss": 0.8244, + "step": 10491 + }, + { + "epoch": 0.71, + "learning_rate": 1.9974407044625604e-06, + "loss": 0.5638, + "step": 10492 + }, + { + "epoch": 0.71, + "learning_rate": 1.99655972123169e-06, + "loss": 0.545, + "step": 10493 + }, + { + "epoch": 0.71, + "learning_rate": 1.9956788838565065e-06, + "loss": 0.7555, + "step": 10494 + }, + { + "epoch": 0.71, + "learning_rate": 1.9947981923797856e-06, + "loss": 0.9742, + "step": 10495 + }, + { + "epoch": 0.71, + "learning_rate": 1.9939176468443004e-06, + "loss": 0.824, + "step": 10496 + }, + { + "epoch": 0.71, + "learning_rate": 1.9930372472928095e-06, + "loss": 0.862, + "step": 10497 + }, + { + "epoch": 0.71, + "learning_rate": 1.992156993768066e-06, + "loss": 0.8282, + "step": 10498 + }, + { + "epoch": 0.71, + "learning_rate": 1.991276886312824e-06, + "loss": 0.7742, + "step": 10499 + }, + { + "epoch": 0.71, + "learning_rate": 1.9903969249698175e-06, + "loss": 0.6811, + "step": 10500 + }, + { + "epoch": 0.71, + "learning_rate": 1.989517109781783e-06, + "loss": 0.9067, + "step": 10501 + }, + { + "epoch": 0.71, + "learning_rate": 1.9886374407914453e-06, + "loss": 0.7327, + "step": 10502 + }, + { + "epoch": 0.71, + "learning_rate": 1.9877579180415252e-06, + "loss": 0.629, + "step": 10503 + }, + { + "epoch": 0.71, + "learning_rate": 1.9868785415747343e-06, + "loss": 0.7664, + "step": 10504 + }, + { + "epoch": 0.71, + "learning_rate": 1.9859993114337773e-06, + "loss": 0.7035, + "step": 10505 + }, + { + "epoch": 0.71, + "learning_rate": 1.9851202276613524e-06, + "loss": 0.9662, + "step": 10506 + }, + { + "epoch": 0.71, + "learning_rate": 1.984241290300151e-06, + "loss": 0.8048, + "step": 10507 + }, + { + "epoch": 0.71, + "learning_rate": 1.983362499392856e-06, + "loss": 0.905, + "step": 10508 + }, + { + "epoch": 0.72, + "learning_rate": 1.9824838549821433e-06, + "loss": 0.6789, + "step": 10509 + }, + { + "epoch": 0.72, + "learning_rate": 1.981605357110685e-06, + "loss": 0.5948, + "step": 10510 + }, + { + "epoch": 0.72, + "learning_rate": 1.980727005821141e-06, + "loss": 0.9736, + "step": 10511 + }, + { + "epoch": 0.72, + "learning_rate": 1.9798488011561674e-06, + "loss": 0.7782, + "step": 10512 + }, + { + "epoch": 0.72, + "learning_rate": 1.9789707431584137e-06, + "loss": 0.8486, + "step": 10513 + }, + { + "epoch": 0.72, + "learning_rate": 1.9780928318705166e-06, + "loss": 0.5588, + "step": 10514 + }, + { + "epoch": 0.72, + "learning_rate": 1.9772150673351146e-06, + "loss": 0.6486, + "step": 10515 + }, + { + "epoch": 0.72, + "learning_rate": 1.976337449594835e-06, + "loss": 1.0317, + "step": 10516 + }, + { + "epoch": 0.72, + "learning_rate": 1.9754599786922913e-06, + "loss": 0.3777, + "step": 10517 + }, + { + "epoch": 0.72, + "learning_rate": 1.9745826546701035e-06, + "loss": 0.5312, + "step": 10518 + }, + { + "epoch": 0.72, + "learning_rate": 1.973705477570872e-06, + "loss": 0.6742, + "step": 10519 + }, + { + "epoch": 0.72, + "learning_rate": 1.9728284474371943e-06, + "loss": 0.589, + "step": 10520 + }, + { + "epoch": 0.72, + "learning_rate": 1.971951564311668e-06, + "loss": 0.8337, + "step": 10521 + }, + { + "epoch": 0.72, + "learning_rate": 1.97107482823687e-06, + "loss": 0.5932, + "step": 10522 + }, + { + "epoch": 0.72, + "learning_rate": 1.970198239255379e-06, + "loss": 0.6097, + "step": 10523 + }, + { + "epoch": 0.72, + "learning_rate": 1.969321797409769e-06, + "loss": 0.5961, + "step": 10524 + }, + { + "epoch": 0.72, + "learning_rate": 1.968445502742597e-06, + "loss": 0.8145, + "step": 10525 + }, + { + "epoch": 0.72, + "learning_rate": 1.9675693552964187e-06, + "loss": 0.9356, + "step": 10526 + }, + { + "epoch": 0.72, + "learning_rate": 1.9666933551137877e-06, + "loss": 0.4472, + "step": 10527 + }, + { + "epoch": 0.72, + "learning_rate": 1.96581750223724e-06, + "loss": 1.0672, + "step": 10528 + }, + { + "epoch": 0.72, + "learning_rate": 1.964941796709311e-06, + "loss": 0.7386, + "step": 10529 + }, + { + "epoch": 0.72, + "learning_rate": 1.9640662385725275e-06, + "loss": 0.6674, + "step": 10530 + }, + { + "epoch": 0.72, + "learning_rate": 1.963190827869409e-06, + "loss": 0.7755, + "step": 10531 + }, + { + "epoch": 0.72, + "learning_rate": 1.962315564642468e-06, + "loss": 0.6949, + "step": 10532 + }, + { + "epoch": 0.72, + "learning_rate": 1.9614404489342097e-06, + "loss": 0.8376, + "step": 10533 + }, + { + "epoch": 0.72, + "learning_rate": 1.9605654807871334e-06, + "loss": 0.947, + "step": 10534 + }, + { + "epoch": 0.72, + "learning_rate": 1.9596906602437283e-06, + "loss": 0.8742, + "step": 10535 + }, + { + "epoch": 0.72, + "learning_rate": 1.958815987346479e-06, + "loss": 0.848, + "step": 10536 + }, + { + "epoch": 0.72, + "learning_rate": 1.9579414621378624e-06, + "loss": 0.8201, + "step": 10537 + }, + { + "epoch": 0.72, + "learning_rate": 1.957067084660349e-06, + "loss": 0.9475, + "step": 10538 + }, + { + "epoch": 0.72, + "learning_rate": 1.956192854956397e-06, + "loss": 0.7233, + "step": 10539 + }, + { + "epoch": 0.72, + "learning_rate": 1.955318773068465e-06, + "loss": 0.7061, + "step": 10540 + }, + { + "epoch": 0.72, + "learning_rate": 1.954444839039003e-06, + "loss": 0.8791, + "step": 10541 + }, + { + "epoch": 0.72, + "learning_rate": 1.9535710529104446e-06, + "loss": 0.6431, + "step": 10542 + }, + { + "epoch": 0.72, + "learning_rate": 1.9526974147252297e-06, + "loss": 0.7118, + "step": 10543 + }, + { + "epoch": 0.72, + "learning_rate": 1.9518239245257848e-06, + "loss": 0.7845, + "step": 10544 + }, + { + "epoch": 0.72, + "learning_rate": 1.9509505823545232e-06, + "loss": 0.6106, + "step": 10545 + }, + { + "epoch": 0.72, + "learning_rate": 1.950077388253864e-06, + "loss": 0.4991, + "step": 10546 + }, + { + "epoch": 0.72, + "learning_rate": 1.949204342266208e-06, + "loss": 0.8197, + "step": 10547 + }, + { + "epoch": 0.72, + "learning_rate": 1.948331444433951e-06, + "loss": 0.9084, + "step": 10548 + }, + { + "epoch": 0.72, + "learning_rate": 1.947458694799489e-06, + "loss": 0.416, + "step": 10549 + }, + { + "epoch": 0.72, + "learning_rate": 1.9465860934052006e-06, + "loss": 0.6651, + "step": 10550 + }, + { + "epoch": 0.72, + "learning_rate": 1.945713640293464e-06, + "loss": 0.6073, + "step": 10551 + }, + { + "epoch": 0.72, + "learning_rate": 1.944841335506647e-06, + "loss": 0.6245, + "step": 10552 + }, + { + "epoch": 0.72, + "learning_rate": 1.943969179087112e-06, + "loss": 0.7678, + "step": 10553 + }, + { + "epoch": 0.72, + "learning_rate": 1.9430971710772122e-06, + "loss": 0.6265, + "step": 10554 + }, + { + "epoch": 0.72, + "learning_rate": 1.9422253115192967e-06, + "loss": 0.8634, + "step": 10555 + }, + { + "epoch": 0.72, + "learning_rate": 1.9413536004557037e-06, + "loss": 0.7766, + "step": 10556 + }, + { + "epoch": 0.72, + "learning_rate": 1.9404820379287677e-06, + "loss": 0.5799, + "step": 10557 + }, + { + "epoch": 0.72, + "learning_rate": 1.9396106239808126e-06, + "loss": 0.7688, + "step": 10558 + }, + { + "epoch": 0.72, + "learning_rate": 1.938739358654158e-06, + "loss": 0.843, + "step": 10559 + }, + { + "epoch": 0.72, + "learning_rate": 1.9378682419911145e-06, + "loss": 0.7507, + "step": 10560 + }, + { + "epoch": 0.72, + "learning_rate": 1.936997274033986e-06, + "loss": 0.7451, + "step": 10561 + }, + { + "epoch": 0.72, + "learning_rate": 1.936126454825069e-06, + "loss": 0.763, + "step": 10562 + }, + { + "epoch": 0.72, + "learning_rate": 1.9352557844066538e-06, + "loss": 0.5523, + "step": 10563 + }, + { + "epoch": 0.72, + "learning_rate": 1.9343852628210224e-06, + "loss": 0.7596, + "step": 10564 + }, + { + "epoch": 0.72, + "learning_rate": 1.933514890110449e-06, + "loss": 0.7052, + "step": 10565 + }, + { + "epoch": 0.72, + "learning_rate": 1.9326446663172036e-06, + "loss": 0.6914, + "step": 10566 + }, + { + "epoch": 0.72, + "learning_rate": 1.931774591483544e-06, + "loss": 0.8253, + "step": 10567 + }, + { + "epoch": 0.72, + "learning_rate": 1.9309046656517227e-06, + "loss": 0.6078, + "step": 10568 + }, + { + "epoch": 0.72, + "learning_rate": 1.9300348888639915e-06, + "loss": 0.7996, + "step": 10569 + }, + { + "epoch": 0.72, + "learning_rate": 1.929165261162584e-06, + "loss": 0.7744, + "step": 10570 + }, + { + "epoch": 0.72, + "learning_rate": 1.928295782589731e-06, + "loss": 0.6767, + "step": 10571 + }, + { + "epoch": 0.72, + "learning_rate": 1.927426453187663e-06, + "loss": 0.6975, + "step": 10572 + }, + { + "epoch": 0.72, + "learning_rate": 1.9265572729985916e-06, + "loss": 0.8054, + "step": 10573 + }, + { + "epoch": 0.72, + "learning_rate": 1.9256882420647264e-06, + "loss": 0.5415, + "step": 10574 + }, + { + "epoch": 0.72, + "learning_rate": 1.924819360428276e-06, + "loss": 0.7296, + "step": 10575 + }, + { + "epoch": 0.72, + "learning_rate": 1.92395062813143e-06, + "loss": 0.6049, + "step": 10576 + }, + { + "epoch": 0.72, + "learning_rate": 1.9230820452163786e-06, + "loss": 0.7492, + "step": 10577 + }, + { + "epoch": 0.72, + "learning_rate": 1.922213611725302e-06, + "loss": 0.713, + "step": 10578 + }, + { + "epoch": 0.72, + "learning_rate": 1.921345327700375e-06, + "loss": 0.5108, + "step": 10579 + }, + { + "epoch": 0.72, + "learning_rate": 1.9204771931837628e-06, + "loss": 0.8493, + "step": 10580 + }, + { + "epoch": 0.72, + "learning_rate": 1.9196092082176254e-06, + "loss": 0.6493, + "step": 10581 + }, + { + "epoch": 0.72, + "learning_rate": 1.918741372844114e-06, + "loss": 0.8069, + "step": 10582 + }, + { + "epoch": 0.72, + "learning_rate": 1.9178736871053737e-06, + "loss": 0.9515, + "step": 10583 + }, + { + "epoch": 0.72, + "learning_rate": 1.9170061510435413e-06, + "loss": 0.7, + "step": 10584 + }, + { + "epoch": 0.72, + "learning_rate": 1.916138764700747e-06, + "loss": 0.611, + "step": 10585 + }, + { + "epoch": 0.72, + "learning_rate": 1.915271528119116e-06, + "loss": 0.7978, + "step": 10586 + }, + { + "epoch": 0.72, + "learning_rate": 1.9144044413407577e-06, + "loss": 0.6697, + "step": 10587 + }, + { + "epoch": 0.72, + "learning_rate": 1.9135375044077854e-06, + "loss": 0.4017, + "step": 10588 + }, + { + "epoch": 0.72, + "learning_rate": 1.9126707173623004e-06, + "loss": 0.8107, + "step": 10589 + }, + { + "epoch": 0.72, + "learning_rate": 1.9118040802463918e-06, + "loss": 0.9099, + "step": 10590 + }, + { + "epoch": 0.72, + "learning_rate": 1.91093759310215e-06, + "loss": 0.7792, + "step": 10591 + }, + { + "epoch": 0.72, + "learning_rate": 1.9100712559716554e-06, + "loss": 0.8426, + "step": 10592 + }, + { + "epoch": 0.72, + "learning_rate": 1.9092050688969736e-06, + "loss": 0.7065, + "step": 10593 + }, + { + "epoch": 0.72, + "learning_rate": 1.9083390319201766e-06, + "loss": 0.7727, + "step": 10594 + }, + { + "epoch": 0.72, + "learning_rate": 1.907473145083316e-06, + "loss": 0.6198, + "step": 10595 + }, + { + "epoch": 0.72, + "learning_rate": 1.906607408428442e-06, + "loss": 0.8034, + "step": 10596 + }, + { + "epoch": 0.72, + "learning_rate": 1.9057418219976026e-06, + "loss": 0.6184, + "step": 10597 + }, + { + "epoch": 0.72, + "learning_rate": 1.904876385832828e-06, + "loss": 1.0433, + "step": 10598 + }, + { + "epoch": 0.72, + "learning_rate": 1.9040110999761458e-06, + "loss": 0.9024, + "step": 10599 + }, + { + "epoch": 0.72, + "learning_rate": 1.903145964469582e-06, + "loss": 0.7542, + "step": 10600 + }, + { + "epoch": 0.72, + "learning_rate": 1.902280979355146e-06, + "loss": 0.4259, + "step": 10601 + }, + { + "epoch": 0.72, + "learning_rate": 1.9014161446748424e-06, + "loss": 0.8589, + "step": 10602 + }, + { + "epoch": 0.72, + "learning_rate": 1.9005514604706765e-06, + "loss": 0.8062, + "step": 10603 + }, + { + "epoch": 0.72, + "learning_rate": 1.8996869267846335e-06, + "loss": 0.5628, + "step": 10604 + }, + { + "epoch": 0.72, + "learning_rate": 1.8988225436587005e-06, + "loss": 0.6641, + "step": 10605 + }, + { + "epoch": 0.72, + "learning_rate": 1.897958311134853e-06, + "loss": 0.5436, + "step": 10606 + }, + { + "epoch": 0.72, + "learning_rate": 1.8970942292550625e-06, + "loss": 0.7988, + "step": 10607 + }, + { + "epoch": 0.72, + "learning_rate": 1.8962302980612902e-06, + "loss": 0.5435, + "step": 10608 + }, + { + "epoch": 0.72, + "learning_rate": 1.8953665175954905e-06, + "loss": 0.4508, + "step": 10609 + }, + { + "epoch": 0.72, + "learning_rate": 1.8945028878996125e-06, + "loss": 0.5499, + "step": 10610 + }, + { + "epoch": 0.72, + "learning_rate": 1.8936394090155952e-06, + "loss": 0.6055, + "step": 10611 + }, + { + "epoch": 0.72, + "learning_rate": 1.8927760809853724e-06, + "loss": 0.4122, + "step": 10612 + }, + { + "epoch": 0.72, + "learning_rate": 1.89191290385087e-06, + "loss": 0.8133, + "step": 10613 + }, + { + "epoch": 0.72, + "learning_rate": 1.891049877654007e-06, + "loss": 0.6704, + "step": 10614 + }, + { + "epoch": 0.72, + "learning_rate": 1.8901870024366908e-06, + "loss": 0.7802, + "step": 10615 + }, + { + "epoch": 0.72, + "learning_rate": 1.8893242782408289e-06, + "loss": 0.6343, + "step": 10616 + }, + { + "epoch": 0.72, + "learning_rate": 1.8884617051083183e-06, + "loss": 0.5661, + "step": 10617 + }, + { + "epoch": 0.72, + "learning_rate": 1.8875992830810424e-06, + "loss": 0.7244, + "step": 10618 + }, + { + "epoch": 0.72, + "learning_rate": 1.8867370122008888e-06, + "loss": 0.6818, + "step": 10619 + }, + { + "epoch": 0.72, + "learning_rate": 1.8858748925097309e-06, + "loss": 0.6359, + "step": 10620 + }, + { + "epoch": 0.72, + "learning_rate": 1.8850129240494314e-06, + "loss": 0.5327, + "step": 10621 + }, + { + "epoch": 0.72, + "learning_rate": 1.8841511068618569e-06, + "loss": 0.741, + "step": 10622 + }, + { + "epoch": 0.72, + "learning_rate": 1.883289440988854e-06, + "loss": 0.7019, + "step": 10623 + }, + { + "epoch": 0.72, + "learning_rate": 1.8824279264722694e-06, + "loss": 0.5757, + "step": 10624 + }, + { + "epoch": 0.72, + "learning_rate": 1.881566563353941e-06, + "loss": 0.7797, + "step": 10625 + }, + { + "epoch": 0.72, + "learning_rate": 1.880705351675699e-06, + "loss": 0.9557, + "step": 10626 + }, + { + "epoch": 0.72, + "learning_rate": 1.8798442914793663e-06, + "loss": 0.8298, + "step": 10627 + }, + { + "epoch": 0.72, + "learning_rate": 1.8789833828067582e-06, + "loss": 0.5976, + "step": 10628 + }, + { + "epoch": 0.72, + "learning_rate": 1.8781226256996838e-06, + "loss": 0.5039, + "step": 10629 + }, + { + "epoch": 0.72, + "learning_rate": 1.8772620201999424e-06, + "loss": 0.4874, + "step": 10630 + }, + { + "epoch": 0.72, + "learning_rate": 1.876401566349329e-06, + "loss": 0.972, + "step": 10631 + }, + { + "epoch": 0.72, + "learning_rate": 1.8755412641896287e-06, + "loss": 0.7151, + "step": 10632 + }, + { + "epoch": 0.72, + "learning_rate": 1.8746811137626208e-06, + "loss": 0.8463, + "step": 10633 + }, + { + "epoch": 0.72, + "learning_rate": 1.8738211151100766e-06, + "loss": 0.6319, + "step": 10634 + }, + { + "epoch": 0.72, + "learning_rate": 1.8729612682737598e-06, + "loss": 0.4729, + "step": 10635 + }, + { + "epoch": 0.72, + "learning_rate": 1.8721015732954272e-06, + "loss": 0.8946, + "step": 10636 + }, + { + "epoch": 0.72, + "learning_rate": 1.8712420302168283e-06, + "loss": 0.8484, + "step": 10637 + }, + { + "epoch": 0.72, + "learning_rate": 1.8703826390797047e-06, + "loss": 0.6638, + "step": 10638 + }, + { + "epoch": 0.72, + "learning_rate": 1.869523399925791e-06, + "loss": 0.879, + "step": 10639 + }, + { + "epoch": 0.72, + "learning_rate": 1.868664312796814e-06, + "loss": 0.9679, + "step": 10640 + }, + { + "epoch": 0.72, + "learning_rate": 1.867805377734494e-06, + "loss": 0.7107, + "step": 10641 + }, + { + "epoch": 0.72, + "learning_rate": 1.8669465947805448e-06, + "loss": 0.629, + "step": 10642 + }, + { + "epoch": 0.72, + "learning_rate": 1.8660879639766676e-06, + "loss": 0.7946, + "step": 10643 + }, + { + "epoch": 0.72, + "learning_rate": 1.865229485364561e-06, + "loss": 0.5527, + "step": 10644 + }, + { + "epoch": 0.72, + "learning_rate": 1.8643711589859193e-06, + "loss": 0.6167, + "step": 10645 + }, + { + "epoch": 0.72, + "learning_rate": 1.8635129848824202e-06, + "loss": 0.9044, + "step": 10646 + }, + { + "epoch": 0.72, + "learning_rate": 1.8626549630957397e-06, + "loss": 0.7637, + "step": 10647 + }, + { + "epoch": 0.72, + "learning_rate": 1.8617970936675505e-06, + "loss": 0.8796, + "step": 10648 + }, + { + "epoch": 0.72, + "learning_rate": 1.8609393766395083e-06, + "loss": 0.5445, + "step": 10649 + }, + { + "epoch": 0.72, + "learning_rate": 1.860081812053266e-06, + "loss": 0.6224, + "step": 10650 + }, + { + "epoch": 0.72, + "learning_rate": 1.859224399950475e-06, + "loss": 0.7135, + "step": 10651 + }, + { + "epoch": 0.72, + "learning_rate": 1.8583671403727683e-06, + "loss": 0.4288, + "step": 10652 + }, + { + "epoch": 0.72, + "learning_rate": 1.8575100333617784e-06, + "loss": 0.5648, + "step": 10653 + }, + { + "epoch": 0.72, + "learning_rate": 1.856653078959129e-06, + "loss": 0.6611, + "step": 10654 + }, + { + "epoch": 0.72, + "learning_rate": 1.855796277206437e-06, + "loss": 0.6844, + "step": 10655 + }, + { + "epoch": 0.73, + "learning_rate": 1.8549396281453098e-06, + "loss": 0.8321, + "step": 10656 + }, + { + "epoch": 0.73, + "learning_rate": 1.8540831318173496e-06, + "loss": 0.5132, + "step": 10657 + }, + { + "epoch": 0.73, + "learning_rate": 1.8532267882641503e-06, + "loss": 0.542, + "step": 10658 + }, + { + "epoch": 0.73, + "learning_rate": 1.8523705975272981e-06, + "loss": 0.8544, + "step": 10659 + }, + { + "epoch": 0.73, + "learning_rate": 1.8515145596483725e-06, + "loss": 0.622, + "step": 10660 + }, + { + "epoch": 0.73, + "learning_rate": 1.8506586746689448e-06, + "loss": 0.8528, + "step": 10661 + }, + { + "epoch": 0.73, + "learning_rate": 1.8498029426305814e-06, + "loss": 0.7261, + "step": 10662 + }, + { + "epoch": 0.73, + "learning_rate": 1.848947363574833e-06, + "loss": 0.6521, + "step": 10663 + }, + { + "epoch": 0.73, + "learning_rate": 1.848091937543255e-06, + "loss": 0.7639, + "step": 10664 + }, + { + "epoch": 0.73, + "learning_rate": 1.8472366645773892e-06, + "loss": 0.5994, + "step": 10665 + }, + { + "epoch": 0.73, + "learning_rate": 1.8463815447187644e-06, + "loss": 0.7921, + "step": 10666 + }, + { + "epoch": 0.73, + "learning_rate": 1.8455265780089138e-06, + "loss": 0.7306, + "step": 10667 + }, + { + "epoch": 0.73, + "learning_rate": 1.8446717644893563e-06, + "loss": 0.7968, + "step": 10668 + }, + { + "epoch": 0.73, + "learning_rate": 1.8438171042015996e-06, + "loss": 0.9249, + "step": 10669 + }, + { + "epoch": 0.73, + "learning_rate": 1.8429625971871546e-06, + "loss": 0.7327, + "step": 10670 + }, + { + "epoch": 0.73, + "learning_rate": 1.8421082434875133e-06, + "loss": 0.3853, + "step": 10671 + }, + { + "epoch": 0.73, + "learning_rate": 1.8412540431441666e-06, + "loss": 0.87, + "step": 10672 + }, + { + "epoch": 0.73, + "learning_rate": 1.8403999961986012e-06, + "loss": 0.9646, + "step": 10673 + }, + { + "epoch": 0.73, + "learning_rate": 1.8395461026922873e-06, + "loss": 0.7515, + "step": 10674 + }, + { + "epoch": 0.73, + "learning_rate": 1.8386923626666925e-06, + "loss": 0.787, + "step": 10675 + }, + { + "epoch": 0.73, + "learning_rate": 1.8378387761632815e-06, + "loss": 0.4571, + "step": 10676 + }, + { + "epoch": 0.73, + "learning_rate": 1.8369853432235024e-06, + "loss": 0.9004, + "step": 10677 + }, + { + "epoch": 0.73, + "learning_rate": 1.8361320638888002e-06, + "loss": 0.8721, + "step": 10678 + }, + { + "epoch": 0.73, + "learning_rate": 1.8352789382006175e-06, + "loss": 0.6844, + "step": 10679 + }, + { + "epoch": 0.73, + "learning_rate": 1.8344259662003793e-06, + "loss": 0.7186, + "step": 10680 + }, + { + "epoch": 0.73, + "learning_rate": 1.8335731479295105e-06, + "loss": 0.7541, + "step": 10681 + }, + { + "epoch": 0.73, + "learning_rate": 1.832720483429426e-06, + "loss": 0.6021, + "step": 10682 + }, + { + "epoch": 0.73, + "learning_rate": 1.831867972741534e-06, + "loss": 0.7637, + "step": 10683 + }, + { + "epoch": 0.73, + "learning_rate": 1.831015615907235e-06, + "loss": 0.6743, + "step": 10684 + }, + { + "epoch": 0.73, + "learning_rate": 1.8301634129679214e-06, + "loss": 1.1591, + "step": 10685 + }, + { + "epoch": 0.73, + "learning_rate": 1.8293113639649785e-06, + "loss": 0.7302, + "step": 10686 + }, + { + "epoch": 0.73, + "learning_rate": 1.828459468939785e-06, + "loss": 0.8231, + "step": 10687 + }, + { + "epoch": 0.73, + "learning_rate": 1.8276077279337107e-06, + "loss": 0.5854, + "step": 10688 + }, + { + "epoch": 0.73, + "learning_rate": 1.826756140988119e-06, + "loss": 0.9318, + "step": 10689 + }, + { + "epoch": 0.73, + "learning_rate": 1.8259047081443671e-06, + "loss": 0.6222, + "step": 10690 + }, + { + "epoch": 0.73, + "learning_rate": 1.8250534294437972e-06, + "loss": 0.5645, + "step": 10691 + }, + { + "epoch": 0.73, + "learning_rate": 1.8242023049277558e-06, + "loss": 0.6829, + "step": 10692 + }, + { + "epoch": 0.73, + "learning_rate": 1.823351334637576e-06, + "loss": 0.8888, + "step": 10693 + }, + { + "epoch": 0.73, + "learning_rate": 1.8225005186145778e-06, + "loss": 0.6057, + "step": 10694 + }, + { + "epoch": 0.73, + "learning_rate": 1.821649856900084e-06, + "loss": 0.6859, + "step": 10695 + }, + { + "epoch": 0.73, + "learning_rate": 1.820799349535406e-06, + "loss": 0.7552, + "step": 10696 + }, + { + "epoch": 0.73, + "learning_rate": 1.8199489965618433e-06, + "loss": 0.7453, + "step": 10697 + }, + { + "epoch": 0.73, + "learning_rate": 1.8190987980206932e-06, + "loss": 0.8451, + "step": 10698 + }, + { + "epoch": 0.73, + "learning_rate": 1.8182487539532428e-06, + "loss": 0.7229, + "step": 10699 + }, + { + "epoch": 0.73, + "learning_rate": 1.8173988644007746e-06, + "loss": 0.5484, + "step": 10700 + }, + { + "epoch": 0.73, + "learning_rate": 1.8165491294045596e-06, + "loss": 0.8735, + "step": 10701 + }, + { + "epoch": 0.73, + "learning_rate": 1.8156995490058648e-06, + "loss": 0.8373, + "step": 10702 + }, + { + "epoch": 0.73, + "learning_rate": 1.8148501232459477e-06, + "loss": 0.6991, + "step": 10703 + }, + { + "epoch": 0.73, + "learning_rate": 1.814000852166059e-06, + "loss": 0.6908, + "step": 10704 + }, + { + "epoch": 0.73, + "learning_rate": 1.8131517358074418e-06, + "loss": 0.4498, + "step": 10705 + }, + { + "epoch": 0.73, + "learning_rate": 1.8123027742113314e-06, + "loss": 0.6591, + "step": 10706 + }, + { + "epoch": 0.73, + "learning_rate": 1.8114539674189564e-06, + "loss": 0.5837, + "step": 10707 + }, + { + "epoch": 0.73, + "learning_rate": 1.8106053154715364e-06, + "loss": 0.7224, + "step": 10708 + }, + { + "epoch": 0.73, + "learning_rate": 1.8097568184102848e-06, + "loss": 0.474, + "step": 10709 + }, + { + "epoch": 0.73, + "learning_rate": 1.8089084762764076e-06, + "loss": 0.6554, + "step": 10710 + }, + { + "epoch": 0.73, + "learning_rate": 1.8080602891111014e-06, + "loss": 0.9633, + "step": 10711 + }, + { + "epoch": 0.73, + "learning_rate": 1.8072122569555578e-06, + "loss": 0.6099, + "step": 10712 + }, + { + "epoch": 0.73, + "learning_rate": 1.8063643798509594e-06, + "loss": 0.974, + "step": 10713 + }, + { + "epoch": 0.73, + "learning_rate": 1.8055166578384814e-06, + "loss": 0.4566, + "step": 10714 + }, + { + "epoch": 0.73, + "learning_rate": 1.8046690909592919e-06, + "loss": 0.7487, + "step": 10715 + }, + { + "epoch": 0.73, + "learning_rate": 1.8038216792545526e-06, + "loss": 0.5653, + "step": 10716 + }, + { + "epoch": 0.73, + "learning_rate": 1.802974422765411e-06, + "loss": 0.8497, + "step": 10717 + }, + { + "epoch": 0.73, + "learning_rate": 1.8021273215330194e-06, + "loss": 0.6271, + "step": 10718 + }, + { + "epoch": 0.73, + "learning_rate": 1.8012803755985098e-06, + "loss": 0.7695, + "step": 10719 + }, + { + "epoch": 0.73, + "learning_rate": 1.8004335850030137e-06, + "loss": 0.6793, + "step": 10720 + }, + { + "epoch": 0.73, + "learning_rate": 1.7995869497876573e-06, + "loss": 0.8157, + "step": 10721 + }, + { + "epoch": 0.73, + "learning_rate": 1.7987404699935512e-06, + "loss": 0.6861, + "step": 10722 + }, + { + "epoch": 0.73, + "learning_rate": 1.7978941456618027e-06, + "loss": 0.6063, + "step": 10723 + }, + { + "epoch": 0.73, + "learning_rate": 1.797047976833517e-06, + "loss": 0.9339, + "step": 10724 + }, + { + "epoch": 0.73, + "learning_rate": 1.7962019635497812e-06, + "loss": 0.4834, + "step": 10725 + }, + { + "epoch": 0.73, + "learning_rate": 1.7953561058516826e-06, + "loss": 0.9682, + "step": 10726 + }, + { + "epoch": 0.73, + "learning_rate": 1.7945104037802974e-06, + "loss": 0.6539, + "step": 10727 + }, + { + "epoch": 0.73, + "learning_rate": 1.7936648573766956e-06, + "loss": 0.6869, + "step": 10728 + }, + { + "epoch": 0.73, + "learning_rate": 1.7928194666819398e-06, + "loss": 0.7017, + "step": 10729 + }, + { + "epoch": 0.73, + "learning_rate": 1.7919742317370846e-06, + "loss": 1.0648, + "step": 10730 + }, + { + "epoch": 0.73, + "learning_rate": 1.7911291525831764e-06, + "loss": 0.7049, + "step": 10731 + }, + { + "epoch": 0.73, + "learning_rate": 1.7902842292612554e-06, + "loss": 0.8007, + "step": 10732 + }, + { + "epoch": 0.73, + "learning_rate": 1.7894394618123527e-06, + "loss": 0.3482, + "step": 10733 + }, + { + "epoch": 0.73, + "learning_rate": 1.7885948502774936e-06, + "loss": 0.7712, + "step": 10734 + }, + { + "epoch": 0.73, + "learning_rate": 1.7877503946976954e-06, + "loss": 0.8023, + "step": 10735 + }, + { + "epoch": 0.73, + "learning_rate": 1.7869060951139634e-06, + "loss": 0.8018, + "step": 10736 + }, + { + "epoch": 0.73, + "learning_rate": 1.7860619515673034e-06, + "loss": 0.785, + "step": 10737 + }, + { + "epoch": 0.73, + "learning_rate": 1.7852179640987099e-06, + "loss": 0.7528, + "step": 10738 + }, + { + "epoch": 0.73, + "learning_rate": 1.7843741327491642e-06, + "loss": 0.8711, + "step": 10739 + }, + { + "epoch": 0.73, + "learning_rate": 1.7835304575596501e-06, + "loss": 0.7611, + "step": 10740 + }, + { + "epoch": 0.73, + "learning_rate": 1.7826869385711392e-06, + "loss": 0.9457, + "step": 10741 + }, + { + "epoch": 0.73, + "learning_rate": 1.78184357582459e-06, + "loss": 0.6515, + "step": 10742 + }, + { + "epoch": 0.73, + "learning_rate": 1.7810003693609634e-06, + "loss": 0.7643, + "step": 10743 + }, + { + "epoch": 0.73, + "learning_rate": 1.7801573192212086e-06, + "loss": 0.6868, + "step": 10744 + }, + { + "epoch": 0.73, + "learning_rate": 1.7793144254462601e-06, + "loss": 0.8218, + "step": 10745 + }, + { + "epoch": 0.73, + "learning_rate": 1.7784716880770597e-06, + "loss": 0.7418, + "step": 10746 + }, + { + "epoch": 0.73, + "learning_rate": 1.7776291071545271e-06, + "loss": 0.6763, + "step": 10747 + }, + { + "epoch": 0.73, + "learning_rate": 1.7767866827195806e-06, + "loss": 0.6662, + "step": 10748 + }, + { + "epoch": 0.73, + "learning_rate": 1.7759444148131361e-06, + "loss": 0.6933, + "step": 10749 + }, + { + "epoch": 0.73, + "learning_rate": 1.7751023034760911e-06, + "loss": 1.1287, + "step": 10750 + }, + { + "epoch": 0.73, + "learning_rate": 1.7742603487493409e-06, + "loss": 0.6723, + "step": 10751 + }, + { + "epoch": 0.73, + "learning_rate": 1.773418550673779e-06, + "loss": 0.6171, + "step": 10752 + }, + { + "epoch": 0.73, + "learning_rate": 1.7725769092902794e-06, + "loss": 0.6842, + "step": 10753 + }, + { + "epoch": 0.73, + "learning_rate": 1.7717354246397173e-06, + "loss": 0.6332, + "step": 10754 + }, + { + "epoch": 0.73, + "learning_rate": 1.7708940967629567e-06, + "loss": 0.7256, + "step": 10755 + }, + { + "epoch": 0.73, + "learning_rate": 1.7700529257008558e-06, + "loss": 0.5389, + "step": 10756 + }, + { + "epoch": 0.73, + "learning_rate": 1.769211911494264e-06, + "loss": 0.6488, + "step": 10757 + }, + { + "epoch": 0.73, + "learning_rate": 1.7683710541840233e-06, + "loss": 0.8416, + "step": 10758 + }, + { + "epoch": 0.73, + "learning_rate": 1.7675303538109679e-06, + "loss": 0.8483, + "step": 10759 + }, + { + "epoch": 0.73, + "learning_rate": 1.7666898104159248e-06, + "loss": 0.6123, + "step": 10760 + }, + { + "epoch": 0.73, + "learning_rate": 1.7658494240397127e-06, + "loss": 1.0125, + "step": 10761 + }, + { + "epoch": 0.73, + "learning_rate": 1.7650091947231446e-06, + "loss": 0.7913, + "step": 10762 + }, + { + "epoch": 0.73, + "learning_rate": 1.7641691225070246e-06, + "loss": 0.7259, + "step": 10763 + }, + { + "epoch": 0.73, + "learning_rate": 1.7633292074321444e-06, + "loss": 0.512, + "step": 10764 + }, + { + "epoch": 0.73, + "learning_rate": 1.7624894495392985e-06, + "loss": 0.7451, + "step": 10765 + }, + { + "epoch": 0.73, + "learning_rate": 1.7616498488692673e-06, + "loss": 0.5626, + "step": 10766 + }, + { + "epoch": 0.73, + "learning_rate": 1.7608104054628195e-06, + "loss": 1.1318, + "step": 10767 + }, + { + "epoch": 0.73, + "learning_rate": 1.759971119360725e-06, + "loss": 0.9453, + "step": 10768 + }, + { + "epoch": 0.73, + "learning_rate": 1.7591319906037429e-06, + "loss": 0.819, + "step": 10769 + }, + { + "epoch": 0.73, + "learning_rate": 1.7582930192326187e-06, + "loss": 0.656, + "step": 10770 + }, + { + "epoch": 0.73, + "learning_rate": 1.7574542052881e-06, + "loss": 0.7392, + "step": 10771 + }, + { + "epoch": 0.73, + "learning_rate": 1.7566155488109215e-06, + "loss": 0.8712, + "step": 10772 + }, + { + "epoch": 0.73, + "learning_rate": 1.7557770498418087e-06, + "loss": 0.8026, + "step": 10773 + }, + { + "epoch": 0.73, + "learning_rate": 1.754938708421482e-06, + "loss": 0.665, + "step": 10774 + }, + { + "epoch": 0.73, + "learning_rate": 1.754100524590654e-06, + "loss": 0.8671, + "step": 10775 + }, + { + "epoch": 0.73, + "learning_rate": 1.7532624983900294e-06, + "loss": 0.8118, + "step": 10776 + }, + { + "epoch": 0.73, + "learning_rate": 1.7524246298603053e-06, + "loss": 0.781, + "step": 10777 + }, + { + "epoch": 0.73, + "learning_rate": 1.7515869190421708e-06, + "loss": 0.7633, + "step": 10778 + }, + { + "epoch": 0.73, + "learning_rate": 1.7507493659763076e-06, + "loss": 0.8018, + "step": 10779 + }, + { + "epoch": 0.73, + "learning_rate": 1.7499119707033897e-06, + "loss": 0.8804, + "step": 10780 + }, + { + "epoch": 0.73, + "learning_rate": 1.7490747332640833e-06, + "loss": 0.881, + "step": 10781 + }, + { + "epoch": 0.73, + "learning_rate": 1.7482376536990476e-06, + "loss": 0.7322, + "step": 10782 + }, + { + "epoch": 0.73, + "learning_rate": 1.7474007320489328e-06, + "loss": 0.875, + "step": 10783 + }, + { + "epoch": 0.73, + "learning_rate": 1.7465639683543822e-06, + "loss": 0.4263, + "step": 10784 + }, + { + "epoch": 0.73, + "learning_rate": 1.7457273626560328e-06, + "loss": 0.9552, + "step": 10785 + }, + { + "epoch": 0.73, + "learning_rate": 1.744890914994511e-06, + "loss": 0.7171, + "step": 10786 + }, + { + "epoch": 0.73, + "learning_rate": 1.7440546254104374e-06, + "loss": 0.965, + "step": 10787 + }, + { + "epoch": 0.73, + "learning_rate": 1.7432184939444258e-06, + "loss": 0.7, + "step": 10788 + }, + { + "epoch": 0.73, + "learning_rate": 1.7423825206370793e-06, + "loss": 1.048, + "step": 10789 + }, + { + "epoch": 0.73, + "learning_rate": 1.741546705528997e-06, + "loss": 0.9934, + "step": 10790 + }, + { + "epoch": 0.73, + "learning_rate": 1.740711048660767e-06, + "loss": 0.8576, + "step": 10791 + }, + { + "epoch": 0.73, + "learning_rate": 1.7398755500729737e-06, + "loss": 0.8258, + "step": 10792 + }, + { + "epoch": 0.73, + "learning_rate": 1.739040209806186e-06, + "loss": 0.6819, + "step": 10793 + }, + { + "epoch": 0.73, + "learning_rate": 1.7382050279009776e-06, + "loss": 0.7228, + "step": 10794 + }, + { + "epoch": 0.73, + "learning_rate": 1.7373700043979015e-06, + "loss": 0.6545, + "step": 10795 + }, + { + "epoch": 0.73, + "learning_rate": 1.7365351393375097e-06, + "loss": 0.8328, + "step": 10796 + }, + { + "epoch": 0.73, + "learning_rate": 1.73570043276035e-06, + "loss": 0.8235, + "step": 10797 + }, + { + "epoch": 0.73, + "learning_rate": 1.7348658847069528e-06, + "loss": 0.548, + "step": 10798 + }, + { + "epoch": 0.73, + "learning_rate": 1.7340314952178472e-06, + "loss": 0.7311, + "step": 10799 + }, + { + "epoch": 0.73, + "learning_rate": 1.7331972643335582e-06, + "loss": 0.8571, + "step": 10800 + }, + { + "epoch": 0.73, + "learning_rate": 1.7323631920945933e-06, + "loss": 0.8737, + "step": 10801 + }, + { + "epoch": 0.73, + "learning_rate": 1.731529278541459e-06, + "loss": 0.5051, + "step": 10802 + }, + { + "epoch": 0.74, + "learning_rate": 1.7306955237146523e-06, + "loss": 0.518, + "step": 10803 + }, + { + "epoch": 0.74, + "learning_rate": 1.7298619276546635e-06, + "loss": 0.988, + "step": 10804 + }, + { + "epoch": 0.74, + "learning_rate": 1.7290284904019738e-06, + "loss": 0.9731, + "step": 10805 + }, + { + "epoch": 0.74, + "learning_rate": 1.728195211997058e-06, + "loss": 0.7469, + "step": 10806 + }, + { + "epoch": 0.74, + "learning_rate": 1.7273620924803813e-06, + "loss": 0.4583, + "step": 10807 + }, + { + "epoch": 0.74, + "learning_rate": 1.7265291318924032e-06, + "loss": 0.5167, + "step": 10808 + }, + { + "epoch": 0.74, + "learning_rate": 1.7256963302735752e-06, + "loss": 0.689, + "step": 10809 + }, + { + "epoch": 0.74, + "learning_rate": 1.7248636876643393e-06, + "loss": 0.7566, + "step": 10810 + }, + { + "epoch": 0.74, + "learning_rate": 1.7240312041051333e-06, + "loss": 0.823, + "step": 10811 + }, + { + "epoch": 0.74, + "learning_rate": 1.7231988796363802e-06, + "loss": 0.717, + "step": 10812 + }, + { + "epoch": 0.74, + "learning_rate": 1.7223667142985046e-06, + "loss": 0.9425, + "step": 10813 + }, + { + "epoch": 0.74, + "learning_rate": 1.7215347081319189e-06, + "loss": 0.8751, + "step": 10814 + }, + { + "epoch": 0.74, + "learning_rate": 1.7207028611770233e-06, + "loss": 0.6215, + "step": 10815 + }, + { + "epoch": 0.74, + "learning_rate": 1.719871173474219e-06, + "loss": 0.6684, + "step": 10816 + }, + { + "epoch": 0.74, + "learning_rate": 1.7190396450638958e-06, + "loss": 0.7519, + "step": 10817 + }, + { + "epoch": 0.74, + "learning_rate": 1.7182082759864293e-06, + "loss": 0.5729, + "step": 10818 + }, + { + "epoch": 0.74, + "learning_rate": 1.7173770662821986e-06, + "loss": 0.7472, + "step": 10819 + }, + { + "epoch": 0.74, + "learning_rate": 1.7165460159915697e-06, + "loss": 0.7249, + "step": 10820 + }, + { + "epoch": 0.74, + "learning_rate": 1.7157151251548953e-06, + "loss": 0.6856, + "step": 10821 + }, + { + "epoch": 0.74, + "learning_rate": 1.7148843938125336e-06, + "loss": 0.6464, + "step": 10822 + }, + { + "epoch": 0.74, + "learning_rate": 1.7140538220048213e-06, + "loss": 0.7429, + "step": 10823 + }, + { + "epoch": 0.74, + "learning_rate": 1.7132234097720935e-06, + "loss": 0.7477, + "step": 10824 + }, + { + "epoch": 0.74, + "learning_rate": 1.7123931571546826e-06, + "loss": 0.8183, + "step": 10825 + }, + { + "epoch": 0.74, + "learning_rate": 1.7115630641929032e-06, + "loss": 0.6688, + "step": 10826 + }, + { + "epoch": 0.74, + "learning_rate": 1.7107331309270686e-06, + "loss": 0.801, + "step": 10827 + }, + { + "epoch": 0.74, + "learning_rate": 1.7099033573974822e-06, + "loss": 0.5971, + "step": 10828 + }, + { + "epoch": 0.74, + "learning_rate": 1.709073743644441e-06, + "loss": 0.6185, + "step": 10829 + }, + { + "epoch": 0.74, + "learning_rate": 1.7082442897082329e-06, + "loss": 0.688, + "step": 10830 + }, + { + "epoch": 0.74, + "learning_rate": 1.7074149956291386e-06, + "loss": 0.7659, + "step": 10831 + }, + { + "epoch": 0.74, + "learning_rate": 1.7065858614474311e-06, + "loss": 0.8027, + "step": 10832 + }, + { + "epoch": 0.74, + "learning_rate": 1.7057568872033758e-06, + "loss": 0.5801, + "step": 10833 + }, + { + "epoch": 0.74, + "learning_rate": 1.7049280729372296e-06, + "loss": 0.9212, + "step": 10834 + }, + { + "epoch": 0.74, + "learning_rate": 1.7040994186892423e-06, + "loss": 0.579, + "step": 10835 + }, + { + "epoch": 0.74, + "learning_rate": 1.7032709244996559e-06, + "loss": 0.6308, + "step": 10836 + }, + { + "epoch": 0.74, + "learning_rate": 1.7024425904087043e-06, + "loss": 0.5569, + "step": 10837 + }, + { + "epoch": 0.74, + "learning_rate": 1.7016144164566134e-06, + "loss": 0.7192, + "step": 10838 + }, + { + "epoch": 0.74, + "learning_rate": 1.7007864026836046e-06, + "loss": 0.6896, + "step": 10839 + }, + { + "epoch": 0.74, + "learning_rate": 1.699958549129882e-06, + "loss": 0.7449, + "step": 10840 + }, + { + "epoch": 0.74, + "learning_rate": 1.6991308558356545e-06, + "loss": 0.8388, + "step": 10841 + }, + { + "epoch": 0.74, + "learning_rate": 1.6983033228411172e-06, + "loss": 0.7819, + "step": 10842 + }, + { + "epoch": 0.74, + "learning_rate": 1.6974759501864523e-06, + "loss": 0.7586, + "step": 10843 + }, + { + "epoch": 0.74, + "learning_rate": 1.6966487379118452e-06, + "loss": 0.7547, + "step": 10844 + }, + { + "epoch": 0.74, + "learning_rate": 1.6958216860574661e-06, + "loss": 0.8559, + "step": 10845 + }, + { + "epoch": 0.74, + "learning_rate": 1.6949947946634771e-06, + "loss": 0.8362, + "step": 10846 + }, + { + "epoch": 0.74, + "learning_rate": 1.6941680637700335e-06, + "loss": 0.8254, + "step": 10847 + }, + { + "epoch": 0.74, + "learning_rate": 1.6933414934172893e-06, + "loss": 0.7254, + "step": 10848 + }, + { + "epoch": 0.74, + "learning_rate": 1.6925150836453797e-06, + "loss": 0.6165, + "step": 10849 + }, + { + "epoch": 0.74, + "learning_rate": 1.6916888344944398e-06, + "loss": 0.5553, + "step": 10850 + }, + { + "epoch": 0.74, + "learning_rate": 1.690862746004594e-06, + "loss": 0.8431, + "step": 10851 + }, + { + "epoch": 0.74, + "learning_rate": 1.6900368182159598e-06, + "loss": 0.8093, + "step": 10852 + }, + { + "epoch": 0.74, + "learning_rate": 1.6892110511686466e-06, + "loss": 0.5168, + "step": 10853 + }, + { + "epoch": 0.74, + "learning_rate": 1.6883854449027564e-06, + "loss": 0.5953, + "step": 10854 + }, + { + "epoch": 0.74, + "learning_rate": 1.6875599994583825e-06, + "loss": 0.6503, + "step": 10855 + }, + { + "epoch": 0.74, + "learning_rate": 1.6867347148756108e-06, + "loss": 0.6002, + "step": 10856 + }, + { + "epoch": 0.74, + "learning_rate": 1.68590959119452e-06, + "loss": 0.7897, + "step": 10857 + }, + { + "epoch": 0.74, + "learning_rate": 1.6850846284551804e-06, + "loss": 0.6009, + "step": 10858 + }, + { + "epoch": 0.74, + "learning_rate": 1.684259826697654e-06, + "loss": 1.0619, + "step": 10859 + }, + { + "epoch": 0.74, + "learning_rate": 1.6834351859619964e-06, + "loss": 0.6364, + "step": 10860 + }, + { + "epoch": 0.74, + "learning_rate": 1.6826107062882534e-06, + "loss": 0.6991, + "step": 10861 + }, + { + "epoch": 0.74, + "learning_rate": 1.6817863877164654e-06, + "loss": 0.5895, + "step": 10862 + }, + { + "epoch": 0.74, + "learning_rate": 1.6809622302866623e-06, + "loss": 0.9299, + "step": 10863 + }, + { + "epoch": 0.74, + "learning_rate": 1.6801382340388689e-06, + "loss": 0.7542, + "step": 10864 + }, + { + "epoch": 0.74, + "learning_rate": 1.6793143990131017e-06, + "loss": 0.6016, + "step": 10865 + }, + { + "epoch": 0.74, + "learning_rate": 1.6784907252493638e-06, + "loss": 0.8181, + "step": 10866 + }, + { + "epoch": 0.74, + "learning_rate": 1.6776672127876603e-06, + "loss": 0.8221, + "step": 10867 + }, + { + "epoch": 0.74, + "learning_rate": 1.6768438616679828e-06, + "loss": 0.8308, + "step": 10868 + }, + { + "epoch": 0.74, + "learning_rate": 1.6760206719303107e-06, + "loss": 0.8991, + "step": 10869 + }, + { + "epoch": 0.74, + "learning_rate": 1.6751976436146273e-06, + "loss": 0.6024, + "step": 10870 + }, + { + "epoch": 0.74, + "learning_rate": 1.6743747767608965e-06, + "loss": 0.7093, + "step": 10871 + }, + { + "epoch": 0.74, + "learning_rate": 1.673552071409078e-06, + "loss": 0.6436, + "step": 10872 + }, + { + "epoch": 0.74, + "learning_rate": 1.6727295275991311e-06, + "loss": 0.74, + "step": 10873 + }, + { + "epoch": 0.74, + "learning_rate": 1.6719071453709956e-06, + "loss": 0.5716, + "step": 10874 + }, + { + "epoch": 0.74, + "learning_rate": 1.6710849247646083e-06, + "loss": 0.8117, + "step": 10875 + }, + { + "epoch": 0.74, + "learning_rate": 1.6702628658199037e-06, + "loss": 0.7217, + "step": 10876 + }, + { + "epoch": 0.74, + "learning_rate": 1.6694409685767981e-06, + "loss": 0.7659, + "step": 10877 + }, + { + "epoch": 0.74, + "learning_rate": 1.6686192330752076e-06, + "loss": 0.6922, + "step": 10878 + }, + { + "epoch": 0.74, + "learning_rate": 1.667797659355037e-06, + "loss": 0.6478, + "step": 10879 + }, + { + "epoch": 0.74, + "learning_rate": 1.6669762474561857e-06, + "loss": 0.7289, + "step": 10880 + }, + { + "epoch": 0.74, + "learning_rate": 1.6661549974185426e-06, + "loss": 0.8077, + "step": 10881 + }, + { + "epoch": 0.74, + "learning_rate": 1.6653339092819904e-06, + "loss": 0.7897, + "step": 10882 + }, + { + "epoch": 0.74, + "learning_rate": 1.6645129830864032e-06, + "loss": 0.7332, + "step": 10883 + }, + { + "epoch": 0.74, + "learning_rate": 1.6636922188716481e-06, + "loss": 0.5662, + "step": 10884 + }, + { + "epoch": 0.74, + "learning_rate": 1.6628716166775833e-06, + "loss": 0.6779, + "step": 10885 + }, + { + "epoch": 0.74, + "learning_rate": 1.6620511765440595e-06, + "loss": 0.7562, + "step": 10886 + }, + { + "epoch": 0.74, + "learning_rate": 1.6612308985109222e-06, + "loss": 0.7214, + "step": 10887 + }, + { + "epoch": 0.74, + "learning_rate": 1.6604107826179999e-06, + "loss": 0.8712, + "step": 10888 + }, + { + "epoch": 0.74, + "learning_rate": 1.6595908289051266e-06, + "loss": 0.9129, + "step": 10889 + }, + { + "epoch": 0.74, + "learning_rate": 1.6587710374121203e-06, + "loss": 0.9332, + "step": 10890 + }, + { + "epoch": 0.74, + "learning_rate": 1.6579514081787879e-06, + "loss": 0.56, + "step": 10891 + }, + { + "epoch": 0.74, + "learning_rate": 1.6571319412449377e-06, + "loss": 0.7506, + "step": 10892 + }, + { + "epoch": 0.74, + "learning_rate": 1.6563126366503657e-06, + "loss": 0.8672, + "step": 10893 + }, + { + "epoch": 0.74, + "learning_rate": 1.6554934944348544e-06, + "loss": 0.8909, + "step": 10894 + }, + { + "epoch": 0.74, + "learning_rate": 1.6546745146381892e-06, + "loss": 0.9825, + "step": 10895 + }, + { + "epoch": 0.74, + "learning_rate": 1.6538556973001413e-06, + "loss": 0.8253, + "step": 10896 + }, + { + "epoch": 0.74, + "learning_rate": 1.6530370424604708e-06, + "loss": 0.4688, + "step": 10897 + }, + { + "epoch": 0.74, + "learning_rate": 1.6522185501589394e-06, + "loss": 0.5981, + "step": 10898 + }, + { + "epoch": 0.74, + "learning_rate": 1.6514002204352919e-06, + "loss": 0.8029, + "step": 10899 + }, + { + "epoch": 0.74, + "learning_rate": 1.650582053329267e-06, + "loss": 0.5974, + "step": 10900 + }, + { + "epoch": 0.74, + "learning_rate": 1.649764048880604e-06, + "loss": 0.6183, + "step": 10901 + }, + { + "epoch": 0.74, + "learning_rate": 1.6489462071290213e-06, + "loss": 0.5304, + "step": 10902 + }, + { + "epoch": 0.74, + "learning_rate": 1.648128528114238e-06, + "loss": 0.8875, + "step": 10903 + }, + { + "epoch": 0.74, + "learning_rate": 1.6473110118759628e-06, + "loss": 0.6336, + "step": 10904 + }, + { + "epoch": 0.74, + "learning_rate": 1.646493658453896e-06, + "loss": 0.6959, + "step": 10905 + }, + { + "epoch": 0.74, + "learning_rate": 1.6456764678877319e-06, + "loss": 0.8184, + "step": 10906 + }, + { + "epoch": 0.74, + "learning_rate": 1.6448594402171542e-06, + "loss": 0.7471, + "step": 10907 + }, + { + "epoch": 0.74, + "learning_rate": 1.6440425754818413e-06, + "loss": 0.8588, + "step": 10908 + }, + { + "epoch": 0.74, + "learning_rate": 1.6432258737214613e-06, + "loss": 0.7951, + "step": 10909 + }, + { + "epoch": 0.74, + "learning_rate": 1.642409334975677e-06, + "loss": 0.8858, + "step": 10910 + }, + { + "epoch": 0.74, + "learning_rate": 1.6415929592841407e-06, + "loss": 0.7404, + "step": 10911 + }, + { + "epoch": 0.74, + "learning_rate": 1.6407767466864988e-06, + "loss": 0.6672, + "step": 10912 + }, + { + "epoch": 0.74, + "learning_rate": 1.639960697222388e-06, + "loss": 0.9768, + "step": 10913 + }, + { + "epoch": 0.74, + "learning_rate": 1.639144810931439e-06, + "loss": 0.7754, + "step": 10914 + }, + { + "epoch": 0.74, + "learning_rate": 1.6383290878532743e-06, + "loss": 1.036, + "step": 10915 + }, + { + "epoch": 0.74, + "learning_rate": 1.6375135280275033e-06, + "loss": 0.8213, + "step": 10916 + }, + { + "epoch": 0.74, + "learning_rate": 1.6366981314937374e-06, + "loss": 0.4891, + "step": 10917 + }, + { + "epoch": 0.74, + "learning_rate": 1.6358828982915736e-06, + "loss": 0.5043, + "step": 10918 + }, + { + "epoch": 0.74, + "learning_rate": 1.6350678284605975e-06, + "loss": 0.7637, + "step": 10919 + }, + { + "epoch": 0.74, + "learning_rate": 1.6342529220403963e-06, + "loss": 0.9121, + "step": 10920 + }, + { + "epoch": 0.74, + "learning_rate": 1.6334381790705439e-06, + "loss": 0.3949, + "step": 10921 + }, + { + "epoch": 0.74, + "learning_rate": 1.632623599590603e-06, + "loss": 0.7776, + "step": 10922 + }, + { + "epoch": 0.74, + "learning_rate": 1.6318091836401328e-06, + "loss": 0.7651, + "step": 10923 + }, + { + "epoch": 0.74, + "learning_rate": 1.6309949312586882e-06, + "loss": 0.7768, + "step": 10924 + }, + { + "epoch": 0.74, + "learning_rate": 1.6301808424858067e-06, + "loss": 0.6161, + "step": 10925 + }, + { + "epoch": 0.74, + "learning_rate": 1.6293669173610238e-06, + "loss": 0.6708, + "step": 10926 + }, + { + "epoch": 0.74, + "learning_rate": 1.628553155923867e-06, + "loss": 0.7148, + "step": 10927 + }, + { + "epoch": 0.74, + "learning_rate": 1.6277395582138545e-06, + "loss": 1.062, + "step": 10928 + }, + { + "epoch": 0.74, + "learning_rate": 1.626926124270497e-06, + "loss": 0.5664, + "step": 10929 + }, + { + "epoch": 0.74, + "learning_rate": 1.6261128541332972e-06, + "loss": 0.8535, + "step": 10930 + }, + { + "epoch": 0.74, + "learning_rate": 1.6252997478417497e-06, + "loss": 0.6828, + "step": 10931 + }, + { + "epoch": 0.74, + "learning_rate": 1.6244868054353412e-06, + "loss": 0.7945, + "step": 10932 + }, + { + "epoch": 0.74, + "learning_rate": 1.6236740269535505e-06, + "loss": 0.5275, + "step": 10933 + }, + { + "epoch": 0.74, + "learning_rate": 1.6228614124358488e-06, + "loss": 0.7705, + "step": 10934 + }, + { + "epoch": 0.74, + "learning_rate": 1.6220489619216988e-06, + "loss": 0.9433, + "step": 10935 + }, + { + "epoch": 0.74, + "learning_rate": 1.6212366754505559e-06, + "loss": 0.8021, + "step": 10936 + }, + { + "epoch": 0.74, + "learning_rate": 1.6204245530618662e-06, + "loss": 1.1432, + "step": 10937 + }, + { + "epoch": 0.74, + "learning_rate": 1.6196125947950692e-06, + "loss": 0.6632, + "step": 10938 + }, + { + "epoch": 0.74, + "learning_rate": 1.6188008006895956e-06, + "loss": 0.7923, + "step": 10939 + }, + { + "epoch": 0.74, + "learning_rate": 1.6179891707848689e-06, + "loss": 0.8156, + "step": 10940 + }, + { + "epoch": 0.74, + "learning_rate": 1.6171777051203052e-06, + "loss": 0.708, + "step": 10941 + }, + { + "epoch": 0.74, + "learning_rate": 1.6163664037353077e-06, + "loss": 0.6927, + "step": 10942 + }, + { + "epoch": 0.74, + "learning_rate": 1.6155552666692797e-06, + "loss": 0.5785, + "step": 10943 + }, + { + "epoch": 0.74, + "learning_rate": 1.6147442939616126e-06, + "loss": 0.7499, + "step": 10944 + }, + { + "epoch": 0.74, + "learning_rate": 1.6139334856516842e-06, + "loss": 0.5742, + "step": 10945 + }, + { + "epoch": 0.74, + "learning_rate": 1.6131228417788762e-06, + "loss": 0.7263, + "step": 10946 + }, + { + "epoch": 0.74, + "learning_rate": 1.612312362382552e-06, + "loss": 0.7438, + "step": 10947 + }, + { + "epoch": 0.74, + "learning_rate": 1.6115020475020697e-06, + "loss": 0.6881, + "step": 10948 + }, + { + "epoch": 0.74, + "learning_rate": 1.610691897176786e-06, + "loss": 0.6499, + "step": 10949 + }, + { + "epoch": 0.75, + "learning_rate": 1.609881911446039e-06, + "loss": 0.7064, + "step": 10950 + }, + { + "epoch": 0.75, + "learning_rate": 1.6090720903491637e-06, + "loss": 0.7452, + "step": 10951 + }, + { + "epoch": 0.75, + "learning_rate": 1.6082624339254927e-06, + "loss": 0.5328, + "step": 10952 + }, + { + "epoch": 0.75, + "learning_rate": 1.6074529422143398e-06, + "loss": 0.7826, + "step": 10953 + }, + { + "epoch": 0.75, + "learning_rate": 1.6066436152550185e-06, + "loss": 0.7844, + "step": 10954 + }, + { + "epoch": 0.75, + "learning_rate": 1.6058344530868313e-06, + "loss": 0.8117, + "step": 10955 + }, + { + "epoch": 0.75, + "learning_rate": 1.6050254557490746e-06, + "loss": 0.9398, + "step": 10956 + }, + { + "epoch": 0.75, + "learning_rate": 1.6042166232810346e-06, + "loss": 0.5928, + "step": 10957 + }, + { + "epoch": 0.75, + "learning_rate": 1.6034079557219907e-06, + "loss": 1.2403, + "step": 10958 + }, + { + "epoch": 0.75, + "learning_rate": 1.6025994531112143e-06, + "loss": 0.698, + "step": 10959 + }, + { + "epoch": 0.75, + "learning_rate": 1.6017911154879684e-06, + "loss": 0.6658, + "step": 10960 + }, + { + "epoch": 0.75, + "learning_rate": 1.6009829428915085e-06, + "loss": 0.7902, + "step": 10961 + }, + { + "epoch": 0.75, + "learning_rate": 1.6001749353610819e-06, + "loss": 0.7036, + "step": 10962 + }, + { + "epoch": 0.75, + "learning_rate": 1.599367092935929e-06, + "loss": 0.6798, + "step": 10963 + }, + { + "epoch": 0.75, + "learning_rate": 1.5985594156552764e-06, + "loss": 0.6837, + "step": 10964 + }, + { + "epoch": 0.75, + "learning_rate": 1.5977519035583517e-06, + "loss": 0.7599, + "step": 10965 + }, + { + "epoch": 0.75, + "learning_rate": 1.59694455668437e-06, + "loss": 0.5333, + "step": 10966 + }, + { + "epoch": 0.75, + "learning_rate": 1.596137375072534e-06, + "loss": 0.6774, + "step": 10967 + }, + { + "epoch": 0.75, + "learning_rate": 1.5953303587620472e-06, + "loss": 0.7892, + "step": 10968 + }, + { + "epoch": 0.75, + "learning_rate": 1.5945235077921011e-06, + "loss": 0.8433, + "step": 10969 + }, + { + "epoch": 0.75, + "learning_rate": 1.5937168222018735e-06, + "loss": 0.9012, + "step": 10970 + }, + { + "epoch": 0.75, + "learning_rate": 1.5929103020305441e-06, + "loss": 0.7912, + "step": 10971 + }, + { + "epoch": 0.75, + "learning_rate": 1.5921039473172801e-06, + "loss": 0.7521, + "step": 10972 + }, + { + "epoch": 0.75, + "learning_rate": 1.591297758101235e-06, + "loss": 0.5678, + "step": 10973 + }, + { + "epoch": 0.75, + "learning_rate": 1.590491734421567e-06, + "loss": 1.065, + "step": 10974 + }, + { + "epoch": 0.75, + "learning_rate": 1.589685876317414e-06, + "loss": 0.8178, + "step": 10975 + }, + { + "epoch": 0.75, + "learning_rate": 1.5888801838279115e-06, + "loss": 0.8451, + "step": 10976 + }, + { + "epoch": 0.75, + "learning_rate": 1.5880746569921867e-06, + "loss": 0.6713, + "step": 10977 + }, + { + "epoch": 0.75, + "learning_rate": 1.587269295849359e-06, + "loss": 0.6797, + "step": 10978 + }, + { + "epoch": 0.75, + "learning_rate": 1.5864641004385384e-06, + "loss": 0.7937, + "step": 10979 + }, + { + "epoch": 0.75, + "learning_rate": 1.5856590707988273e-06, + "loss": 0.6971, + "step": 10980 + }, + { + "epoch": 0.75, + "learning_rate": 1.5848542069693201e-06, + "loss": 0.77, + "step": 10981 + }, + { + "epoch": 0.75, + "learning_rate": 1.5840495089891045e-06, + "loss": 0.9709, + "step": 10982 + }, + { + "epoch": 0.75, + "learning_rate": 1.5832449768972574e-06, + "loss": 0.8275, + "step": 10983 + }, + { + "epoch": 0.75, + "learning_rate": 1.5824406107328506e-06, + "loss": 0.6223, + "step": 10984 + }, + { + "epoch": 0.75, + "learning_rate": 1.5816364105349451e-06, + "loss": 0.7249, + "step": 10985 + }, + { + "epoch": 0.75, + "learning_rate": 1.5808323763425965e-06, + "loss": 0.9572, + "step": 10986 + }, + { + "epoch": 0.75, + "learning_rate": 1.5800285081948497e-06, + "loss": 0.6935, + "step": 10987 + }, + { + "epoch": 0.75, + "learning_rate": 1.5792248061307442e-06, + "loss": 0.6028, + "step": 10988 + }, + { + "epoch": 0.75, + "learning_rate": 1.5784212701893088e-06, + "loss": 0.769, + "step": 10989 + }, + { + "epoch": 0.75, + "learning_rate": 1.577617900409566e-06, + "loss": 0.7651, + "step": 10990 + }, + { + "epoch": 0.75, + "learning_rate": 1.576814696830532e-06, + "loss": 0.6682, + "step": 10991 + }, + { + "epoch": 0.75, + "learning_rate": 1.5760116594912072e-06, + "loss": 0.4, + "step": 10992 + }, + { + "epoch": 0.75, + "learning_rate": 1.575208788430594e-06, + "loss": 0.4978, + "step": 10993 + }, + { + "epoch": 0.75, + "learning_rate": 1.5744060836876828e-06, + "loss": 0.7808, + "step": 10994 + }, + { + "epoch": 0.75, + "learning_rate": 1.5736035453014515e-06, + "loss": 0.4593, + "step": 10995 + }, + { + "epoch": 0.75, + "learning_rate": 1.572801173310874e-06, + "loss": 0.8854, + "step": 10996 + }, + { + "epoch": 0.75, + "learning_rate": 1.5719989677549197e-06, + "loss": 0.8086, + "step": 10997 + }, + { + "epoch": 0.75, + "learning_rate": 1.5711969286725426e-06, + "loss": 0.7645, + "step": 10998 + }, + { + "epoch": 0.75, + "learning_rate": 1.5703950561026914e-06, + "loss": 0.7879, + "step": 10999 + }, + { + "epoch": 0.75, + "learning_rate": 1.569593350084312e-06, + "loss": 0.6857, + "step": 11000 + }, + { + "epoch": 0.75, + "learning_rate": 1.5687918106563326e-06, + "loss": 1.0667, + "step": 11001 + }, + { + "epoch": 0.75, + "learning_rate": 1.5679904378576804e-06, + "loss": 0.6842, + "step": 11002 + }, + { + "epoch": 0.75, + "learning_rate": 1.5671892317272725e-06, + "loss": 0.7775, + "step": 11003 + }, + { + "epoch": 0.75, + "learning_rate": 1.566388192304017e-06, + "loss": 0.8355, + "step": 11004 + }, + { + "epoch": 0.75, + "learning_rate": 1.5655873196268145e-06, + "loss": 0.8936, + "step": 11005 + }, + { + "epoch": 0.75, + "learning_rate": 1.5647866137345591e-06, + "loss": 0.5793, + "step": 11006 + }, + { + "epoch": 0.75, + "learning_rate": 1.5639860746661339e-06, + "loss": 0.6622, + "step": 11007 + }, + { + "epoch": 0.75, + "learning_rate": 1.5631857024604157e-06, + "loss": 0.7246, + "step": 11008 + }, + { + "epoch": 0.75, + "learning_rate": 1.5623854971562734e-06, + "loss": 0.7911, + "step": 11009 + }, + { + "epoch": 0.75, + "learning_rate": 1.5615854587925672e-06, + "loss": 0.4106, + "step": 11010 + }, + { + "epoch": 0.75, + "learning_rate": 1.560785587408149e-06, + "loss": 0.6004, + "step": 11011 + }, + { + "epoch": 0.75, + "learning_rate": 1.559985883041863e-06, + "loss": 0.6116, + "step": 11012 + }, + { + "epoch": 0.75, + "learning_rate": 1.5591863457325452e-06, + "loss": 0.8774, + "step": 11013 + }, + { + "epoch": 0.75, + "learning_rate": 1.5583869755190246e-06, + "loss": 0.5503, + "step": 11014 + }, + { + "epoch": 0.75, + "learning_rate": 1.5575877724401162e-06, + "loss": 0.5904, + "step": 11015 + }, + { + "epoch": 0.75, + "learning_rate": 1.556788736534637e-06, + "loss": 0.913, + "step": 11016 + }, + { + "epoch": 0.75, + "learning_rate": 1.5559898678413898e-06, + "loss": 0.6344, + "step": 11017 + }, + { + "epoch": 0.75, + "learning_rate": 1.5551911663991654e-06, + "loss": 1.0095, + "step": 11018 + }, + { + "epoch": 0.75, + "learning_rate": 1.5543926322467562e-06, + "loss": 0.8335, + "step": 11019 + }, + { + "epoch": 0.75, + "learning_rate": 1.5535942654229402e-06, + "loss": 0.8881, + "step": 11020 + }, + { + "epoch": 0.75, + "learning_rate": 1.5527960659664853e-06, + "loss": 0.7312, + "step": 11021 + }, + { + "epoch": 0.75, + "learning_rate": 1.5519980339161594e-06, + "loss": 0.6955, + "step": 11022 + }, + { + "epoch": 0.75, + "learning_rate": 1.5512001693107126e-06, + "loss": 0.9165, + "step": 11023 + }, + { + "epoch": 0.75, + "learning_rate": 1.5504024721888922e-06, + "loss": 0.718, + "step": 11024 + }, + { + "epoch": 0.75, + "learning_rate": 1.549604942589441e-06, + "loss": 0.731, + "step": 11025 + }, + { + "epoch": 0.75, + "learning_rate": 1.5488075805510844e-06, + "loss": 0.7839, + "step": 11026 + }, + { + "epoch": 0.75, + "learning_rate": 1.5480103861125444e-06, + "loss": 0.708, + "step": 11027 + }, + { + "epoch": 0.75, + "learning_rate": 1.547213359312541e-06, + "loss": 0.7526, + "step": 11028 + }, + { + "epoch": 0.75, + "learning_rate": 1.546416500189774e-06, + "loss": 0.7256, + "step": 11029 + }, + { + "epoch": 0.75, + "learning_rate": 1.5456198087829432e-06, + "loss": 0.8977, + "step": 11030 + }, + { + "epoch": 0.75, + "learning_rate": 1.5448232851307388e-06, + "loss": 0.7464, + "step": 11031 + }, + { + "epoch": 0.75, + "learning_rate": 1.5440269292718414e-06, + "loss": 0.8293, + "step": 11032 + }, + { + "epoch": 0.75, + "learning_rate": 1.5432307412449244e-06, + "loss": 0.6105, + "step": 11033 + }, + { + "epoch": 0.75, + "learning_rate": 1.5424347210886538e-06, + "loss": 0.8821, + "step": 11034 + }, + { + "epoch": 0.75, + "learning_rate": 1.5416388688416856e-06, + "loss": 0.8199, + "step": 11035 + }, + { + "epoch": 0.75, + "learning_rate": 1.5408431845426691e-06, + "loss": 0.699, + "step": 11036 + }, + { + "epoch": 0.75, + "learning_rate": 1.5400476682302456e-06, + "loss": 0.7338, + "step": 11037 + }, + { + "epoch": 0.75, + "learning_rate": 1.539252319943047e-06, + "loss": 0.8092, + "step": 11038 + }, + { + "epoch": 0.75, + "learning_rate": 1.5384571397196996e-06, + "loss": 0.7404, + "step": 11039 + }, + { + "epoch": 0.75, + "learning_rate": 1.537662127598814e-06, + "loss": 0.7212, + "step": 11040 + }, + { + "epoch": 0.75, + "learning_rate": 1.5368672836190045e-06, + "loss": 0.5892, + "step": 11041 + }, + { + "epoch": 0.75, + "learning_rate": 1.5360726078188698e-06, + "loss": 0.6716, + "step": 11042 + }, + { + "epoch": 0.75, + "learning_rate": 1.5352781002369976e-06, + "loss": 0.6815, + "step": 11043 + }, + { + "epoch": 0.75, + "learning_rate": 1.534483760911976e-06, + "loss": 0.204, + "step": 11044 + }, + { + "epoch": 0.75, + "learning_rate": 1.5336895898823801e-06, + "loss": 0.7635, + "step": 11045 + }, + { + "epoch": 0.75, + "learning_rate": 1.5328955871867728e-06, + "loss": 0.6252, + "step": 11046 + }, + { + "epoch": 0.75, + "learning_rate": 1.5321017528637177e-06, + "loss": 0.5319, + "step": 11047 + }, + { + "epoch": 0.75, + "learning_rate": 1.5313080869517656e-06, + "loss": 0.3704, + "step": 11048 + }, + { + "epoch": 0.75, + "learning_rate": 1.5305145894894547e-06, + "loss": 0.5976, + "step": 11049 + }, + { + "epoch": 0.75, + "learning_rate": 1.5297212605153255e-06, + "loss": 0.738, + "step": 11050 + }, + { + "epoch": 0.75, + "learning_rate": 1.5289281000678996e-06, + "loss": 0.7022, + "step": 11051 + }, + { + "epoch": 0.75, + "learning_rate": 1.5281351081856977e-06, + "loss": 0.632, + "step": 11052 + }, + { + "epoch": 0.75, + "learning_rate": 1.5273422849072284e-06, + "loss": 0.8131, + "step": 11053 + }, + { + "epoch": 0.75, + "learning_rate": 1.5265496302709942e-06, + "loss": 0.5014, + "step": 11054 + }, + { + "epoch": 0.75, + "learning_rate": 1.5257571443154885e-06, + "loss": 0.9929, + "step": 11055 + }, + { + "epoch": 0.75, + "learning_rate": 1.5249648270791967e-06, + "loss": 0.616, + "step": 11056 + }, + { + "epoch": 0.75, + "learning_rate": 1.524172678600596e-06, + "loss": 0.6556, + "step": 11057 + }, + { + "epoch": 0.75, + "learning_rate": 1.5233806989181555e-06, + "loss": 0.7626, + "step": 11058 + }, + { + "epoch": 0.75, + "learning_rate": 1.522588888070336e-06, + "loss": 0.8385, + "step": 11059 + }, + { + "epoch": 0.75, + "learning_rate": 1.52179724609559e-06, + "loss": 0.7197, + "step": 11060 + }, + { + "epoch": 0.75, + "learning_rate": 1.521005773032362e-06, + "loss": 0.5607, + "step": 11061 + }, + { + "epoch": 0.75, + "learning_rate": 1.5202144689190884e-06, + "loss": 0.7993, + "step": 11062 + }, + { + "epoch": 0.75, + "learning_rate": 1.5194233337941966e-06, + "loss": 0.5183, + "step": 11063 + }, + { + "epoch": 0.75, + "learning_rate": 1.5186323676961069e-06, + "loss": 0.7355, + "step": 11064 + }, + { + "epoch": 0.75, + "learning_rate": 1.517841570663231e-06, + "loss": 0.6831, + "step": 11065 + }, + { + "epoch": 0.75, + "learning_rate": 1.5170509427339718e-06, + "loss": 0.9601, + "step": 11066 + }, + { + "epoch": 0.75, + "learning_rate": 1.5162604839467265e-06, + "loss": 0.7706, + "step": 11067 + }, + { + "epoch": 0.75, + "learning_rate": 1.5154701943398769e-06, + "loss": 0.7082, + "step": 11068 + }, + { + "epoch": 0.75, + "learning_rate": 1.5146800739518064e-06, + "loss": 0.629, + "step": 11069 + }, + { + "epoch": 0.75, + "learning_rate": 1.5138901228208863e-06, + "loss": 0.6629, + "step": 11070 + }, + { + "epoch": 0.75, + "learning_rate": 1.513100340985475e-06, + "loss": 0.6435, + "step": 11071 + }, + { + "epoch": 0.75, + "learning_rate": 1.5123107284839267e-06, + "loss": 0.7065, + "step": 11072 + }, + { + "epoch": 0.75, + "learning_rate": 1.5115212853545924e-06, + "loss": 0.6864, + "step": 11073 + }, + { + "epoch": 0.75, + "learning_rate": 1.5107320116358043e-06, + "loss": 0.6867, + "step": 11074 + }, + { + "epoch": 0.75, + "learning_rate": 1.5099429073658922e-06, + "loss": 0.9405, + "step": 11075 + }, + { + "epoch": 0.75, + "learning_rate": 1.5091539725831822e-06, + "loss": 0.8597, + "step": 11076 + }, + { + "epoch": 0.75, + "learning_rate": 1.5083652073259818e-06, + "loss": 0.9383, + "step": 11077 + }, + { + "epoch": 0.75, + "learning_rate": 1.5075766116325984e-06, + "loss": 0.5804, + "step": 11078 + }, + { + "epoch": 0.75, + "learning_rate": 1.5067881855413275e-06, + "loss": 0.5976, + "step": 11079 + }, + { + "epoch": 0.75, + "learning_rate": 1.5059999290904575e-06, + "loss": 0.6235, + "step": 11080 + }, + { + "epoch": 0.75, + "learning_rate": 1.5052118423182688e-06, + "loss": 0.8147, + "step": 11081 + }, + { + "epoch": 0.75, + "learning_rate": 1.5044239252630332e-06, + "loss": 0.3971, + "step": 11082 + }, + { + "epoch": 0.75, + "learning_rate": 1.5036361779630137e-06, + "loss": 0.9394, + "step": 11083 + }, + { + "epoch": 0.75, + "learning_rate": 1.5028486004564658e-06, + "loss": 0.7171, + "step": 11084 + }, + { + "epoch": 0.75, + "learning_rate": 1.5020611927816365e-06, + "loss": 0.6423, + "step": 11085 + }, + { + "epoch": 0.75, + "learning_rate": 1.5012739549767646e-06, + "loss": 0.5554, + "step": 11086 + }, + { + "epoch": 0.75, + "learning_rate": 1.5004868870800821e-06, + "loss": 0.5581, + "step": 11087 + }, + { + "epoch": 0.75, + "learning_rate": 1.499699989129807e-06, + "loss": 0.7198, + "step": 11088 + }, + { + "epoch": 0.75, + "learning_rate": 1.4989132611641576e-06, + "loss": 0.4507, + "step": 11089 + }, + { + "epoch": 0.75, + "learning_rate": 1.4981267032213398e-06, + "loss": 0.6903, + "step": 11090 + }, + { + "epoch": 0.75, + "learning_rate": 1.4973403153395461e-06, + "loss": 0.7735, + "step": 11091 + }, + { + "epoch": 0.75, + "learning_rate": 1.496554097556971e-06, + "loss": 0.6312, + "step": 11092 + }, + { + "epoch": 0.75, + "learning_rate": 1.4957680499117956e-06, + "loss": 0.7302, + "step": 11093 + }, + { + "epoch": 0.75, + "learning_rate": 1.494982172442187e-06, + "loss": 0.6919, + "step": 11094 + }, + { + "epoch": 0.75, + "learning_rate": 1.4941964651863155e-06, + "loss": 0.7147, + "step": 11095 + }, + { + "epoch": 0.75, + "learning_rate": 1.4934109281823361e-06, + "loss": 0.919, + "step": 11096 + }, + { + "epoch": 0.76, + "learning_rate": 1.4926255614683931e-06, + "loss": 0.9101, + "step": 11097 + }, + { + "epoch": 0.76, + "learning_rate": 1.491840365082632e-06, + "loss": 0.8128, + "step": 11098 + }, + { + "epoch": 0.76, + "learning_rate": 1.4910553390631794e-06, + "loss": 0.5298, + "step": 11099 + }, + { + "epoch": 0.76, + "learning_rate": 1.4902704834481585e-06, + "loss": 0.7809, + "step": 11100 + }, + { + "epoch": 0.76, + "learning_rate": 1.4894857982756894e-06, + "loss": 0.5504, + "step": 11101 + }, + { + "epoch": 0.76, + "learning_rate": 1.4887012835838727e-06, + "loss": 0.5929, + "step": 11102 + }, + { + "epoch": 0.76, + "learning_rate": 1.487916939410808e-06, + "loss": 0.6427, + "step": 11103 + }, + { + "epoch": 0.76, + "learning_rate": 1.4871327657945888e-06, + "loss": 0.8571, + "step": 11104 + }, + { + "epoch": 0.76, + "learning_rate": 1.4863487627732936e-06, + "loss": 0.519, + "step": 11105 + }, + { + "epoch": 0.76, + "learning_rate": 1.4855649303849962e-06, + "loss": 0.8232, + "step": 11106 + }, + { + "epoch": 0.76, + "learning_rate": 1.4847812686677616e-06, + "loss": 0.5951, + "step": 11107 + }, + { + "epoch": 0.76, + "learning_rate": 1.4839977776596476e-06, + "loss": 0.8469, + "step": 11108 + }, + { + "epoch": 0.76, + "learning_rate": 1.4832144573987023e-06, + "loss": 0.7188, + "step": 11109 + }, + { + "epoch": 0.76, + "learning_rate": 1.4824313079229662e-06, + "loss": 0.8207, + "step": 11110 + }, + { + "epoch": 0.76, + "learning_rate": 1.4816483292704708e-06, + "loss": 0.5785, + "step": 11111 + }, + { + "epoch": 0.76, + "learning_rate": 1.4808655214792405e-06, + "loss": 0.4674, + "step": 11112 + }, + { + "epoch": 0.76, + "learning_rate": 1.48008288458729e-06, + "loss": 0.8714, + "step": 11113 + }, + { + "epoch": 0.76, + "learning_rate": 1.479300418632627e-06, + "loss": 0.6153, + "step": 11114 + }, + { + "epoch": 0.76, + "learning_rate": 1.4785181236532514e-06, + "loss": 0.9595, + "step": 11115 + }, + { + "epoch": 0.76, + "learning_rate": 1.4777359996871492e-06, + "loss": 0.7234, + "step": 11116 + }, + { + "epoch": 0.76, + "learning_rate": 1.476954046772307e-06, + "loss": 0.6346, + "step": 11117 + }, + { + "epoch": 0.76, + "learning_rate": 1.4761722649466992e-06, + "loss": 0.9098, + "step": 11118 + }, + { + "epoch": 0.76, + "learning_rate": 1.4753906542482866e-06, + "loss": 0.7429, + "step": 11119 + }, + { + "epoch": 0.76, + "learning_rate": 1.4746092147150303e-06, + "loss": 0.7899, + "step": 11120 + }, + { + "epoch": 0.76, + "learning_rate": 1.4738279463848803e-06, + "loss": 0.6825, + "step": 11121 + }, + { + "epoch": 0.76, + "learning_rate": 1.4730468492957722e-06, + "loss": 0.689, + "step": 11122 + }, + { + "epoch": 0.76, + "learning_rate": 1.472265923485643e-06, + "loss": 0.7771, + "step": 11123 + }, + { + "epoch": 0.76, + "learning_rate": 1.4714851689924164e-06, + "loss": 1.0576, + "step": 11124 + }, + { + "epoch": 0.76, + "learning_rate": 1.4707045858540053e-06, + "loss": 0.7301, + "step": 11125 + }, + { + "epoch": 0.76, + "learning_rate": 1.4699241741083187e-06, + "loss": 0.7433, + "step": 11126 + }, + { + "epoch": 0.76, + "learning_rate": 1.469143933793255e-06, + "loss": 0.6862, + "step": 11127 + }, + { + "epoch": 0.76, + "learning_rate": 1.4683638649467058e-06, + "loss": 0.8094, + "step": 11128 + }, + { + "epoch": 0.76, + "learning_rate": 1.4675839676065534e-06, + "loss": 0.5989, + "step": 11129 + }, + { + "epoch": 0.76, + "learning_rate": 1.466804241810671e-06, + "loss": 0.6931, + "step": 11130 + }, + { + "epoch": 0.76, + "learning_rate": 1.4660246875969248e-06, + "loss": 0.8955, + "step": 11131 + }, + { + "epoch": 0.76, + "learning_rate": 1.4652453050031722e-06, + "loss": 0.5834, + "step": 11132 + }, + { + "epoch": 0.76, + "learning_rate": 1.4644660940672628e-06, + "loss": 0.6962, + "step": 11133 + }, + { + "epoch": 0.76, + "learning_rate": 1.4636870548270365e-06, + "loss": 0.6617, + "step": 11134 + }, + { + "epoch": 0.76, + "learning_rate": 1.462908187320326e-06, + "loss": 0.5261, + "step": 11135 + }, + { + "epoch": 0.76, + "learning_rate": 1.4621294915849553e-06, + "loss": 1.0745, + "step": 11136 + }, + { + "epoch": 0.76, + "learning_rate": 1.4613509676587407e-06, + "loss": 0.8767, + "step": 11137 + }, + { + "epoch": 0.76, + "learning_rate": 1.460572615579488e-06, + "loss": 0.8157, + "step": 11138 + }, + { + "epoch": 0.76, + "learning_rate": 1.459794435384998e-06, + "loss": 0.7448, + "step": 11139 + }, + { + "epoch": 0.76, + "learning_rate": 1.4590164271130602e-06, + "loss": 0.8295, + "step": 11140 + }, + { + "epoch": 0.76, + "learning_rate": 1.4582385908014574e-06, + "loss": 0.5489, + "step": 11141 + }, + { + "epoch": 0.76, + "learning_rate": 1.4574609264879636e-06, + "loss": 0.9063, + "step": 11142 + }, + { + "epoch": 0.76, + "learning_rate": 1.4566834342103458e-06, + "loss": 0.8325, + "step": 11143 + }, + { + "epoch": 0.76, + "learning_rate": 1.4559061140063579e-06, + "loss": 0.5236, + "step": 11144 + }, + { + "epoch": 0.76, + "learning_rate": 1.4551289659137497e-06, + "loss": 0.7106, + "step": 11145 + }, + { + "epoch": 0.76, + "learning_rate": 1.4543519899702652e-06, + "loss": 0.9283, + "step": 11146 + }, + { + "epoch": 0.76, + "learning_rate": 1.4535751862136326e-06, + "loss": 0.5437, + "step": 11147 + }, + { + "epoch": 0.76, + "learning_rate": 1.452798554681576e-06, + "loss": 0.7025, + "step": 11148 + }, + { + "epoch": 0.76, + "learning_rate": 1.4520220954118147e-06, + "loss": 0.532, + "step": 11149 + }, + { + "epoch": 0.76, + "learning_rate": 1.4512458084420516e-06, + "loss": 0.744, + "step": 11150 + }, + { + "epoch": 0.76, + "learning_rate": 1.450469693809986e-06, + "loss": 0.6005, + "step": 11151 + }, + { + "epoch": 0.76, + "learning_rate": 1.4496937515533115e-06, + "loss": 0.5469, + "step": 11152 + }, + { + "epoch": 0.76, + "learning_rate": 1.448917981709707e-06, + "loss": 0.7782, + "step": 11153 + }, + { + "epoch": 0.76, + "learning_rate": 1.4481423843168468e-06, + "loss": 0.7078, + "step": 11154 + }, + { + "epoch": 0.76, + "learning_rate": 1.4473669594123958e-06, + "loss": 0.6897, + "step": 11155 + }, + { + "epoch": 0.76, + "learning_rate": 1.446591707034012e-06, + "loss": 1.1128, + "step": 11156 + }, + { + "epoch": 0.76, + "learning_rate": 1.4458166272193424e-06, + "loss": 0.8357, + "step": 11157 + }, + { + "epoch": 0.76, + "learning_rate": 1.4450417200060284e-06, + "loss": 0.7034, + "step": 11158 + }, + { + "epoch": 0.76, + "learning_rate": 1.444266985431701e-06, + "loss": 0.7386, + "step": 11159 + }, + { + "epoch": 0.76, + "learning_rate": 1.4434924235339841e-06, + "loss": 0.7234, + "step": 11160 + }, + { + "epoch": 0.76, + "learning_rate": 1.442718034350492e-06, + "loss": 0.6283, + "step": 11161 + }, + { + "epoch": 0.76, + "learning_rate": 1.4419438179188316e-06, + "loss": 0.8513, + "step": 11162 + }, + { + "epoch": 0.76, + "learning_rate": 1.441169774276603e-06, + "loss": 0.8284, + "step": 11163 + }, + { + "epoch": 0.76, + "learning_rate": 1.4403959034613901e-06, + "loss": 0.6319, + "step": 11164 + }, + { + "epoch": 0.76, + "learning_rate": 1.4396222055107805e-06, + "loss": 0.6774, + "step": 11165 + }, + { + "epoch": 0.76, + "learning_rate": 1.4388486804623464e-06, + "loss": 0.4991, + "step": 11166 + }, + { + "epoch": 0.76, + "learning_rate": 1.4380753283536474e-06, + "loss": 0.9246, + "step": 11167 + }, + { + "epoch": 0.76, + "learning_rate": 1.437302149222245e-06, + "loss": 0.6956, + "step": 11168 + }, + { + "epoch": 0.76, + "learning_rate": 1.4365291431056871e-06, + "loss": 0.5384, + "step": 11169 + }, + { + "epoch": 0.76, + "learning_rate": 1.4357563100415078e-06, + "loss": 0.697, + "step": 11170 + }, + { + "epoch": 0.76, + "learning_rate": 1.4349836500672443e-06, + "loss": 0.5628, + "step": 11171 + }, + { + "epoch": 0.76, + "learning_rate": 1.4342111632204152e-06, + "loss": 0.7136, + "step": 11172 + }, + { + "epoch": 0.76, + "learning_rate": 1.4334388495385343e-06, + "loss": 0.7698, + "step": 11173 + }, + { + "epoch": 0.76, + "learning_rate": 1.4326667090591122e-06, + "loss": 0.8933, + "step": 11174 + }, + { + "epoch": 0.76, + "learning_rate": 1.431894741819641e-06, + "loss": 0.6916, + "step": 11175 + }, + { + "epoch": 0.76, + "learning_rate": 1.4311229478576106e-06, + "loss": 0.5836, + "step": 11176 + }, + { + "epoch": 0.76, + "learning_rate": 1.4303513272105057e-06, + "loss": 0.529, + "step": 11177 + }, + { + "epoch": 0.76, + "learning_rate": 1.4295798799157934e-06, + "loss": 0.4739, + "step": 11178 + }, + { + "epoch": 0.76, + "learning_rate": 1.428808606010938e-06, + "loss": 0.9263, + "step": 11179 + }, + { + "epoch": 0.76, + "learning_rate": 1.428037505533399e-06, + "loss": 0.8231, + "step": 11180 + }, + { + "epoch": 0.76, + "learning_rate": 1.427266578520619e-06, + "loss": 0.6977, + "step": 11181 + }, + { + "epoch": 0.76, + "learning_rate": 1.4264958250100376e-06, + "loss": 0.6746, + "step": 11182 + }, + { + "epoch": 0.76, + "learning_rate": 1.4257252450390846e-06, + "loss": 0.7749, + "step": 11183 + }, + { + "epoch": 0.76, + "learning_rate": 1.4249548386451829e-06, + "loss": 0.8673, + "step": 11184 + }, + { + "epoch": 0.76, + "learning_rate": 1.4241846058657437e-06, + "loss": 0.6096, + "step": 11185 + }, + { + "epoch": 0.76, + "learning_rate": 1.4234145467381732e-06, + "loss": 0.5662, + "step": 11186 + }, + { + "epoch": 0.76, + "learning_rate": 1.4226446612998673e-06, + "loss": 0.7705, + "step": 11187 + }, + { + "epoch": 0.76, + "learning_rate": 1.4218749495882133e-06, + "loss": 0.8194, + "step": 11188 + }, + { + "epoch": 0.76, + "learning_rate": 1.4211054116405914e-06, + "loss": 1.1967, + "step": 11189 + }, + { + "epoch": 0.76, + "learning_rate": 1.4203360474943722e-06, + "loss": 0.6711, + "step": 11190 + }, + { + "epoch": 0.76, + "learning_rate": 1.4195668571869197e-06, + "loss": 0.6493, + "step": 11191 + }, + { + "epoch": 0.76, + "learning_rate": 1.4187978407555835e-06, + "loss": 0.663, + "step": 11192 + }, + { + "epoch": 0.76, + "learning_rate": 1.4180289982377138e-06, + "loss": 0.7539, + "step": 11193 + }, + { + "epoch": 0.76, + "learning_rate": 1.4172603296706478e-06, + "loss": 0.7421, + "step": 11194 + }, + { + "epoch": 0.76, + "learning_rate": 1.4164918350917096e-06, + "loss": 0.8282, + "step": 11195 + }, + { + "epoch": 0.76, + "learning_rate": 1.4157235145382242e-06, + "loss": 0.5247, + "step": 11196 + }, + { + "epoch": 0.76, + "learning_rate": 1.4149553680475036e-06, + "loss": 0.7317, + "step": 11197 + }, + { + "epoch": 0.76, + "learning_rate": 1.414187395656848e-06, + "loss": 0.5966, + "step": 11198 + }, + { + "epoch": 0.76, + "learning_rate": 1.4134195974035525e-06, + "loss": 0.7071, + "step": 11199 + }, + { + "epoch": 0.76, + "learning_rate": 1.4126519733249079e-06, + "loss": 0.9807, + "step": 11200 + }, + { + "epoch": 0.76, + "learning_rate": 1.4118845234581873e-06, + "loss": 0.566, + "step": 11201 + }, + { + "epoch": 0.76, + "learning_rate": 1.4111172478406625e-06, + "loss": 0.4653, + "step": 11202 + }, + { + "epoch": 0.76, + "learning_rate": 1.4103501465095948e-06, + "loss": 0.5076, + "step": 11203 + }, + { + "epoch": 0.76, + "learning_rate": 1.4095832195022357e-06, + "loss": 0.5476, + "step": 11204 + }, + { + "epoch": 0.76, + "learning_rate": 1.4088164668558302e-06, + "loss": 0.6271, + "step": 11205 + }, + { + "epoch": 0.76, + "learning_rate": 1.4080498886076145e-06, + "loss": 0.4033, + "step": 11206 + }, + { + "epoch": 0.76, + "learning_rate": 1.4072834847948147e-06, + "loss": 0.5988, + "step": 11207 + }, + { + "epoch": 0.76, + "learning_rate": 1.4065172554546502e-06, + "loss": 0.5159, + "step": 11208 + }, + { + "epoch": 0.76, + "learning_rate": 1.4057512006243312e-06, + "loss": 0.4928, + "step": 11209 + }, + { + "epoch": 0.76, + "learning_rate": 1.4049853203410595e-06, + "loss": 0.6118, + "step": 11210 + }, + { + "epoch": 0.76, + "learning_rate": 1.4042196146420284e-06, + "loss": 0.6726, + "step": 11211 + }, + { + "epoch": 0.76, + "learning_rate": 1.4034540835644227e-06, + "loss": 0.6307, + "step": 11212 + }, + { + "epoch": 0.76, + "learning_rate": 1.4026887271454193e-06, + "loss": 0.7062, + "step": 11213 + }, + { + "epoch": 0.76, + "learning_rate": 1.4019235454221858e-06, + "loss": 0.8481, + "step": 11214 + }, + { + "epoch": 0.76, + "learning_rate": 1.401158538431881e-06, + "loss": 0.7359, + "step": 11215 + }, + { + "epoch": 0.76, + "learning_rate": 1.4003937062116568e-06, + "loss": 0.4576, + "step": 11216 + }, + { + "epoch": 0.76, + "learning_rate": 1.3996290487986568e-06, + "loss": 0.758, + "step": 11217 + }, + { + "epoch": 0.76, + "learning_rate": 1.39886456623001e-06, + "loss": 0.7442, + "step": 11218 + }, + { + "epoch": 0.76, + "learning_rate": 1.398100258542849e-06, + "loss": 0.699, + "step": 11219 + }, + { + "epoch": 0.76, + "learning_rate": 1.3973361257742845e-06, + "loss": 0.7397, + "step": 11220 + }, + { + "epoch": 0.76, + "learning_rate": 1.396572167961427e-06, + "loss": 0.6006, + "step": 11221 + }, + { + "epoch": 0.76, + "learning_rate": 1.3958083851413794e-06, + "loss": 0.5376, + "step": 11222 + }, + { + "epoch": 0.76, + "learning_rate": 1.39504477735123e-06, + "loss": 0.5676, + "step": 11223 + }, + { + "epoch": 0.76, + "learning_rate": 1.3942813446280601e-06, + "loss": 0.7298, + "step": 11224 + }, + { + "epoch": 0.76, + "learning_rate": 1.3935180870089503e-06, + "loss": 0.5982, + "step": 11225 + }, + { + "epoch": 0.76, + "learning_rate": 1.3927550045309612e-06, + "loss": 0.7598, + "step": 11226 + }, + { + "epoch": 0.76, + "learning_rate": 1.3919920972311506e-06, + "loss": 0.6019, + "step": 11227 + }, + { + "epoch": 0.76, + "learning_rate": 1.3912293651465725e-06, + "loss": 0.9011, + "step": 11228 + }, + { + "epoch": 0.76, + "learning_rate": 1.3904668083142615e-06, + "loss": 0.8128, + "step": 11229 + }, + { + "epoch": 0.76, + "learning_rate": 1.3897044267712523e-06, + "loss": 0.5599, + "step": 11230 + }, + { + "epoch": 0.76, + "learning_rate": 1.3889422205545677e-06, + "loss": 0.5853, + "step": 11231 + }, + { + "epoch": 0.76, + "learning_rate": 1.3881801897012225e-06, + "loss": 0.9447, + "step": 11232 + }, + { + "epoch": 0.76, + "learning_rate": 1.387418334248224e-06, + "loss": 0.7936, + "step": 11233 + }, + { + "epoch": 0.76, + "learning_rate": 1.3866566542325689e-06, + "loss": 0.7241, + "step": 11234 + }, + { + "epoch": 0.76, + "learning_rate": 1.385895149691247e-06, + "loss": 0.7701, + "step": 11235 + }, + { + "epoch": 0.76, + "learning_rate": 1.3851338206612402e-06, + "loss": 0.9346, + "step": 11236 + }, + { + "epoch": 0.76, + "learning_rate": 1.3843726671795194e-06, + "loss": 0.4488, + "step": 11237 + }, + { + "epoch": 0.76, + "learning_rate": 1.3836116892830487e-06, + "loss": 0.7994, + "step": 11238 + }, + { + "epoch": 0.76, + "learning_rate": 1.3828508870087854e-06, + "loss": 0.6707, + "step": 11239 + }, + { + "epoch": 0.76, + "learning_rate": 1.3820902603936714e-06, + "loss": 0.8877, + "step": 11240 + }, + { + "epoch": 0.76, + "learning_rate": 1.3813298094746491e-06, + "loss": 0.8685, + "step": 11241 + }, + { + "epoch": 0.76, + "learning_rate": 1.380569534288649e-06, + "loss": 0.5639, + "step": 11242 + }, + { + "epoch": 0.76, + "learning_rate": 1.3798094348725871e-06, + "loss": 0.9709, + "step": 11243 + }, + { + "epoch": 0.77, + "learning_rate": 1.3790495112633806e-06, + "loss": 0.691, + "step": 11244 + }, + { + "epoch": 0.77, + "learning_rate": 1.3782897634979336e-06, + "loss": 0.5617, + "step": 11245 + }, + { + "epoch": 0.77, + "learning_rate": 1.3775301916131374e-06, + "loss": 0.9984, + "step": 11246 + }, + { + "epoch": 0.77, + "learning_rate": 1.3767707956458848e-06, + "loss": 0.6436, + "step": 11247 + }, + { + "epoch": 0.77, + "learning_rate": 1.37601157563305e-06, + "loss": 0.984, + "step": 11248 + }, + { + "epoch": 0.77, + "learning_rate": 1.3752525316115024e-06, + "loss": 0.688, + "step": 11249 + }, + { + "epoch": 0.77, + "learning_rate": 1.3744936636181078e-06, + "loss": 0.8805, + "step": 11250 + }, + { + "epoch": 0.77, + "learning_rate": 1.3737349716897148e-06, + "loss": 0.9739, + "step": 11251 + }, + { + "epoch": 0.77, + "learning_rate": 1.3729764558631681e-06, + "loss": 0.7849, + "step": 11252 + }, + { + "epoch": 0.77, + "learning_rate": 1.3722181161753073e-06, + "loss": 0.5354, + "step": 11253 + }, + { + "epoch": 0.77, + "learning_rate": 1.3714599526629552e-06, + "loss": 0.6604, + "step": 11254 + }, + { + "epoch": 0.77, + "learning_rate": 1.3707019653629321e-06, + "loss": 0.6487, + "step": 11255 + }, + { + "epoch": 0.77, + "learning_rate": 1.3699441543120479e-06, + "loss": 0.5352, + "step": 11256 + }, + { + "epoch": 0.77, + "learning_rate": 1.3691865195471037e-06, + "loss": 0.6549, + "step": 11257 + }, + { + "epoch": 0.77, + "learning_rate": 1.368429061104893e-06, + "loss": 0.6847, + "step": 11258 + }, + { + "epoch": 0.77, + "learning_rate": 1.3676717790222e-06, + "loss": 0.64, + "step": 11259 + }, + { + "epoch": 0.77, + "learning_rate": 1.3669146733358002e-06, + "loss": 0.5915, + "step": 11260 + }, + { + "epoch": 0.77, + "learning_rate": 1.3661577440824614e-06, + "loss": 0.7142, + "step": 11261 + }, + { + "epoch": 0.77, + "learning_rate": 1.3654009912989418e-06, + "loss": 0.8097, + "step": 11262 + }, + { + "epoch": 0.77, + "learning_rate": 1.3646444150219912e-06, + "loss": 0.8803, + "step": 11263 + }, + { + "epoch": 0.77, + "learning_rate": 1.363888015288352e-06, + "loss": 0.5395, + "step": 11264 + }, + { + "epoch": 0.77, + "learning_rate": 1.3631317921347564e-06, + "loss": 0.8394, + "step": 11265 + }, + { + "epoch": 0.77, + "learning_rate": 1.362375745597929e-06, + "loss": 0.5518, + "step": 11266 + }, + { + "epoch": 0.77, + "learning_rate": 1.3616198757145877e-06, + "loss": 0.8703, + "step": 11267 + }, + { + "epoch": 0.77, + "learning_rate": 1.3608641825214342e-06, + "loss": 0.8456, + "step": 11268 + }, + { + "epoch": 0.77, + "learning_rate": 1.3601086660551721e-06, + "loss": 0.6133, + "step": 11269 + }, + { + "epoch": 0.77, + "learning_rate": 1.3593533263524917e-06, + "loss": 0.8136, + "step": 11270 + }, + { + "epoch": 0.77, + "learning_rate": 1.3585981634500688e-06, + "loss": 0.7012, + "step": 11271 + }, + { + "epoch": 0.77, + "learning_rate": 1.3578431773845824e-06, + "loss": 0.4878, + "step": 11272 + }, + { + "epoch": 0.77, + "learning_rate": 1.357088368192696e-06, + "loss": 0.6591, + "step": 11273 + }, + { + "epoch": 0.77, + "learning_rate": 1.3563337359110624e-06, + "loss": 0.8267, + "step": 11274 + }, + { + "epoch": 0.77, + "learning_rate": 1.3555792805763284e-06, + "loss": 0.5984, + "step": 11275 + }, + { + "epoch": 0.77, + "learning_rate": 1.3548250022251375e-06, + "loss": 0.7432, + "step": 11276 + }, + { + "epoch": 0.77, + "learning_rate": 1.354070900894115e-06, + "loss": 0.5795, + "step": 11277 + }, + { + "epoch": 0.77, + "learning_rate": 1.3533169766198835e-06, + "loss": 0.6678, + "step": 11278 + }, + { + "epoch": 0.77, + "learning_rate": 1.3525632294390562e-06, + "loss": 0.7476, + "step": 11279 + }, + { + "epoch": 0.77, + "learning_rate": 1.3518096593882362e-06, + "loss": 0.8479, + "step": 11280 + }, + { + "epoch": 0.77, + "learning_rate": 1.35105626650402e-06, + "loss": 0.5369, + "step": 11281 + }, + { + "epoch": 0.77, + "learning_rate": 1.3503030508229946e-06, + "loss": 0.7482, + "step": 11282 + }, + { + "epoch": 0.77, + "learning_rate": 1.349550012381738e-06, + "loss": 1.0081, + "step": 11283 + }, + { + "epoch": 0.77, + "learning_rate": 1.3487971512168197e-06, + "loss": 0.7025, + "step": 11284 + }, + { + "epoch": 0.77, + "learning_rate": 1.3480444673648007e-06, + "loss": 0.6233, + "step": 11285 + }, + { + "epoch": 0.77, + "learning_rate": 1.3472919608622336e-06, + "loss": 0.617, + "step": 11286 + }, + { + "epoch": 0.77, + "learning_rate": 1.346539631745663e-06, + "loss": 0.557, + "step": 11287 + }, + { + "epoch": 0.77, + "learning_rate": 1.3457874800516235e-06, + "loss": 0.7466, + "step": 11288 + }, + { + "epoch": 0.77, + "learning_rate": 1.345035505816642e-06, + "loss": 0.7399, + "step": 11289 + }, + { + "epoch": 0.77, + "learning_rate": 1.344283709077236e-06, + "loss": 0.4077, + "step": 11290 + }, + { + "epoch": 0.77, + "learning_rate": 1.3435320898699155e-06, + "loss": 0.7725, + "step": 11291 + }, + { + "epoch": 0.77, + "learning_rate": 1.342780648231181e-06, + "loss": 0.9675, + "step": 11292 + }, + { + "epoch": 0.77, + "learning_rate": 1.3420293841975263e-06, + "loss": 0.7398, + "step": 11293 + }, + { + "epoch": 0.77, + "learning_rate": 1.34127829780543e-06, + "loss": 0.8846, + "step": 11294 + }, + { + "epoch": 0.77, + "learning_rate": 1.340527389091374e-06, + "loss": 0.7198, + "step": 11295 + }, + { + "epoch": 0.77, + "learning_rate": 1.3397766580918193e-06, + "loss": 0.9546, + "step": 11296 + }, + { + "epoch": 0.77, + "learning_rate": 1.339026104843224e-06, + "loss": 0.6909, + "step": 11297 + }, + { + "epoch": 0.77, + "learning_rate": 1.3382757293820408e-06, + "loss": 0.8517, + "step": 11298 + }, + { + "epoch": 0.77, + "learning_rate": 1.3375255317447066e-06, + "loss": 0.6601, + "step": 11299 + }, + { + "epoch": 0.77, + "learning_rate": 1.3367755119676524e-06, + "loss": 0.9159, + "step": 11300 + }, + { + "epoch": 0.77, + "learning_rate": 1.3360256700873064e-06, + "loss": 1.0217, + "step": 11301 + }, + { + "epoch": 0.77, + "learning_rate": 1.3352760061400782e-06, + "loss": 0.8304, + "step": 11302 + }, + { + "epoch": 0.77, + "learning_rate": 1.3345265201623736e-06, + "loss": 0.4783, + "step": 11303 + }, + { + "epoch": 0.77, + "learning_rate": 1.3337772121905945e-06, + "loss": 0.4776, + "step": 11304 + }, + { + "epoch": 0.77, + "learning_rate": 1.3330280822611246e-06, + "loss": 0.7755, + "step": 11305 + }, + { + "epoch": 0.77, + "learning_rate": 1.332279130410346e-06, + "loss": 0.6854, + "step": 11306 + }, + { + "epoch": 0.77, + "learning_rate": 1.331530356674629e-06, + "loss": 0.7288, + "step": 11307 + }, + { + "epoch": 0.77, + "learning_rate": 1.3307817610903374e-06, + "loss": 0.8765, + "step": 11308 + }, + { + "epoch": 0.77, + "learning_rate": 1.330033343693824e-06, + "loss": 0.7854, + "step": 11309 + }, + { + "epoch": 0.77, + "learning_rate": 1.3292851045214344e-06, + "loss": 0.5841, + "step": 11310 + }, + { + "epoch": 0.77, + "learning_rate": 1.3285370436095064e-06, + "loss": 0.7717, + "step": 11311 + }, + { + "epoch": 0.77, + "learning_rate": 1.3277891609943662e-06, + "loss": 0.6408, + "step": 11312 + }, + { + "epoch": 0.77, + "learning_rate": 1.3270414567123342e-06, + "loss": 0.6127, + "step": 11313 + }, + { + "epoch": 0.77, + "learning_rate": 1.3262939307997201e-06, + "loss": 0.9641, + "step": 11314 + }, + { + "epoch": 0.77, + "learning_rate": 1.3255465832928288e-06, + "loss": 0.6929, + "step": 11315 + }, + { + "epoch": 0.77, + "learning_rate": 1.3247994142279486e-06, + "loss": 0.5591, + "step": 11316 + }, + { + "epoch": 0.77, + "learning_rate": 1.3240524236413681e-06, + "loss": 0.7953, + "step": 11317 + }, + { + "epoch": 0.77, + "learning_rate": 1.3233056115693637e-06, + "loss": 0.6339, + "step": 11318 + }, + { + "epoch": 0.77, + "learning_rate": 1.322558978048199e-06, + "loss": 0.8606, + "step": 11319 + }, + { + "epoch": 0.77, + "learning_rate": 1.3218125231141354e-06, + "loss": 0.6725, + "step": 11320 + }, + { + "epoch": 0.77, + "learning_rate": 1.3210662468034246e-06, + "loss": 0.4701, + "step": 11321 + }, + { + "epoch": 0.77, + "learning_rate": 1.3203201491523027e-06, + "loss": 0.7484, + "step": 11322 + }, + { + "epoch": 0.77, + "learning_rate": 1.3195742301970082e-06, + "loss": 0.8341, + "step": 11323 + }, + { + "epoch": 0.77, + "learning_rate": 1.3188284899737612e-06, + "loss": 0.6373, + "step": 11324 + }, + { + "epoch": 0.77, + "learning_rate": 1.3180829285187764e-06, + "loss": 0.8644, + "step": 11325 + }, + { + "epoch": 0.77, + "learning_rate": 1.3173375458682647e-06, + "loss": 0.6479, + "step": 11326 + }, + { + "epoch": 0.77, + "learning_rate": 1.3165923420584203e-06, + "loss": 0.7747, + "step": 11327 + }, + { + "epoch": 0.77, + "learning_rate": 1.3158473171254333e-06, + "loss": 0.7075, + "step": 11328 + }, + { + "epoch": 0.77, + "learning_rate": 1.3151024711054845e-06, + "loss": 0.7798, + "step": 11329 + }, + { + "epoch": 0.77, + "learning_rate": 1.314357804034746e-06, + "loss": 0.7266, + "step": 11330 + }, + { + "epoch": 0.77, + "learning_rate": 1.3136133159493803e-06, + "loss": 0.5833, + "step": 11331 + }, + { + "epoch": 0.77, + "learning_rate": 1.3128690068855426e-06, + "loss": 0.8358, + "step": 11332 + }, + { + "epoch": 0.77, + "learning_rate": 1.312124876879378e-06, + "loss": 0.8505, + "step": 11333 + }, + { + "epoch": 0.77, + "learning_rate": 1.3113809259670247e-06, + "loss": 0.8805, + "step": 11334 + }, + { + "epoch": 0.77, + "learning_rate": 1.3106371541846097e-06, + "loss": 0.5553, + "step": 11335 + }, + { + "epoch": 0.77, + "learning_rate": 1.3098935615682534e-06, + "loss": 0.9105, + "step": 11336 + }, + { + "epoch": 0.77, + "learning_rate": 1.3091501481540676e-06, + "loss": 0.7195, + "step": 11337 + }, + { + "epoch": 0.77, + "learning_rate": 1.308406913978153e-06, + "loss": 0.424, + "step": 11338 + }, + { + "epoch": 0.77, + "learning_rate": 1.3076638590766038e-06, + "loss": 0.9009, + "step": 11339 + }, + { + "epoch": 0.77, + "learning_rate": 1.306920983485505e-06, + "loss": 0.8199, + "step": 11340 + }, + { + "epoch": 0.77, + "learning_rate": 1.3061782872409334e-06, + "loss": 0.5439, + "step": 11341 + }, + { + "epoch": 0.77, + "learning_rate": 1.3054357703789555e-06, + "loss": 0.5237, + "step": 11342 + }, + { + "epoch": 0.77, + "learning_rate": 1.3046934329356314e-06, + "loss": 0.864, + "step": 11343 + }, + { + "epoch": 0.77, + "learning_rate": 1.3039512749470078e-06, + "loss": 0.7078, + "step": 11344 + }, + { + "epoch": 0.77, + "learning_rate": 1.30320929644913e-06, + "loss": 0.5688, + "step": 11345 + }, + { + "epoch": 0.77, + "learning_rate": 1.30246749747803e-06, + "loss": 0.6308, + "step": 11346 + }, + { + "epoch": 0.77, + "learning_rate": 1.3017258780697295e-06, + "loss": 0.6719, + "step": 11347 + }, + { + "epoch": 0.77, + "learning_rate": 1.3009844382602426e-06, + "loss": 0.7251, + "step": 11348 + }, + { + "epoch": 0.77, + "learning_rate": 1.3002431780855817e-06, + "loss": 0.684, + "step": 11349 + }, + { + "epoch": 0.77, + "learning_rate": 1.2995020975817392e-06, + "loss": 0.7656, + "step": 11350 + }, + { + "epoch": 0.77, + "learning_rate": 1.298761196784704e-06, + "loss": 0.8587, + "step": 11351 + }, + { + "epoch": 0.77, + "learning_rate": 1.2980204757304615e-06, + "loss": 0.3852, + "step": 11352 + }, + { + "epoch": 0.77, + "learning_rate": 1.297279934454978e-06, + "loss": 0.6955, + "step": 11353 + }, + { + "epoch": 0.77, + "learning_rate": 1.2965395729942182e-06, + "loss": 0.6059, + "step": 11354 + }, + { + "epoch": 0.77, + "learning_rate": 1.295799391384136e-06, + "loss": 0.5506, + "step": 11355 + }, + { + "epoch": 0.77, + "learning_rate": 1.2950593896606767e-06, + "loss": 0.6727, + "step": 11356 + }, + { + "epoch": 0.77, + "learning_rate": 1.2943195678597776e-06, + "loss": 0.8011, + "step": 11357 + }, + { + "epoch": 0.77, + "learning_rate": 1.2935799260173655e-06, + "loss": 0.8829, + "step": 11358 + }, + { + "epoch": 0.77, + "learning_rate": 1.2928404641693598e-06, + "loss": 0.6384, + "step": 11359 + }, + { + "epoch": 0.77, + "learning_rate": 1.2921011823516715e-06, + "loss": 0.856, + "step": 11360 + }, + { + "epoch": 0.77, + "learning_rate": 1.2913620806002026e-06, + "loss": 0.5869, + "step": 11361 + }, + { + "epoch": 0.77, + "learning_rate": 1.2906231589508444e-06, + "loss": 0.6505, + "step": 11362 + }, + { + "epoch": 0.77, + "learning_rate": 1.2898844174394827e-06, + "loss": 0.517, + "step": 11363 + }, + { + "epoch": 0.77, + "learning_rate": 1.2891458561019914e-06, + "loss": 0.9566, + "step": 11364 + }, + { + "epoch": 0.77, + "learning_rate": 1.288407474974238e-06, + "loss": 0.83, + "step": 11365 + }, + { + "epoch": 0.77, + "learning_rate": 1.2876692740920825e-06, + "loss": 0.5795, + "step": 11366 + }, + { + "epoch": 0.77, + "learning_rate": 1.2869312534913686e-06, + "loss": 0.6068, + "step": 11367 + }, + { + "epoch": 0.77, + "learning_rate": 1.2861934132079413e-06, + "loss": 0.6398, + "step": 11368 + }, + { + "epoch": 0.77, + "learning_rate": 1.2854557532776323e-06, + "loss": 0.8054, + "step": 11369 + }, + { + "epoch": 0.77, + "learning_rate": 1.2847182737362606e-06, + "loss": 0.8309, + "step": 11370 + }, + { + "epoch": 0.77, + "learning_rate": 1.2839809746196458e-06, + "loss": 0.7255, + "step": 11371 + }, + { + "epoch": 0.77, + "learning_rate": 1.2832438559635885e-06, + "loss": 0.5509, + "step": 11372 + }, + { + "epoch": 0.77, + "learning_rate": 1.2825069178038857e-06, + "loss": 0.7752, + "step": 11373 + }, + { + "epoch": 0.77, + "learning_rate": 1.28177016017633e-06, + "loss": 0.6509, + "step": 11374 + }, + { + "epoch": 0.77, + "learning_rate": 1.2810335831166954e-06, + "loss": 0.683, + "step": 11375 + }, + { + "epoch": 0.77, + "learning_rate": 1.2802971866607522e-06, + "loss": 0.8449, + "step": 11376 + }, + { + "epoch": 0.77, + "learning_rate": 1.2795609708442668e-06, + "loss": 0.8253, + "step": 11377 + }, + { + "epoch": 0.77, + "learning_rate": 1.2788249357029874e-06, + "loss": 0.7725, + "step": 11378 + }, + { + "epoch": 0.77, + "learning_rate": 1.2780890812726576e-06, + "loss": 0.6922, + "step": 11379 + }, + { + "epoch": 0.77, + "learning_rate": 1.2773534075890181e-06, + "loss": 0.7312, + "step": 11380 + }, + { + "epoch": 0.77, + "learning_rate": 1.2766179146877894e-06, + "loss": 0.6285, + "step": 11381 + }, + { + "epoch": 0.77, + "learning_rate": 1.2758826026046917e-06, + "loss": 0.5889, + "step": 11382 + }, + { + "epoch": 0.77, + "learning_rate": 1.275147471375433e-06, + "loss": 0.8111, + "step": 11383 + }, + { + "epoch": 0.77, + "learning_rate": 1.2744125210357145e-06, + "loss": 0.6072, + "step": 11384 + }, + { + "epoch": 0.77, + "learning_rate": 1.2736777516212267e-06, + "loss": 0.7664, + "step": 11385 + }, + { + "epoch": 0.77, + "learning_rate": 1.2729431631676525e-06, + "loss": 0.6631, + "step": 11386 + }, + { + "epoch": 0.77, + "learning_rate": 1.2722087557106655e-06, + "loss": 0.4295, + "step": 11387 + }, + { + "epoch": 0.77, + "learning_rate": 1.2714745292859304e-06, + "loss": 0.6347, + "step": 11388 + }, + { + "epoch": 0.77, + "learning_rate": 1.2707404839291032e-06, + "loss": 0.5365, + "step": 11389 + }, + { + "epoch": 0.77, + "learning_rate": 1.270006619675832e-06, + "loss": 0.7359, + "step": 11390 + }, + { + "epoch": 0.78, + "learning_rate": 1.2692729365617568e-06, + "loss": 0.6121, + "step": 11391 + }, + { + "epoch": 0.78, + "learning_rate": 1.2685394346225016e-06, + "loss": 1.0149, + "step": 11392 + }, + { + "epoch": 0.78, + "learning_rate": 1.2678061138936937e-06, + "loss": 0.7095, + "step": 11393 + }, + { + "epoch": 0.78, + "learning_rate": 1.2670729744109432e-06, + "loss": 0.8018, + "step": 11394 + }, + { + "epoch": 0.78, + "learning_rate": 1.266340016209851e-06, + "loss": 0.8237, + "step": 11395 + }, + { + "epoch": 0.78, + "learning_rate": 1.2656072393260148e-06, + "loss": 0.7963, + "step": 11396 + }, + { + "epoch": 0.78, + "learning_rate": 1.264874643795021e-06, + "loss": 0.5935, + "step": 11397 + }, + { + "epoch": 0.78, + "learning_rate": 1.264142229652442e-06, + "loss": 0.9014, + "step": 11398 + }, + { + "epoch": 0.78, + "learning_rate": 1.2634099969338514e-06, + "loss": 0.9415, + "step": 11399 + }, + { + "epoch": 0.78, + "learning_rate": 1.2626779456748046e-06, + "loss": 0.6327, + "step": 11400 + }, + { + "epoch": 0.78, + "learning_rate": 1.2619460759108521e-06, + "loss": 0.5229, + "step": 11401 + }, + { + "epoch": 0.78, + "learning_rate": 1.2612143876775396e-06, + "loss": 0.8186, + "step": 11402 + }, + { + "epoch": 0.78, + "learning_rate": 1.260482881010396e-06, + "loss": 0.6688, + "step": 11403 + }, + { + "epoch": 0.78, + "learning_rate": 1.2597515559449463e-06, + "loss": 0.6925, + "step": 11404 + }, + { + "epoch": 0.78, + "learning_rate": 1.2590204125167067e-06, + "loss": 0.6996, + "step": 11405 + }, + { + "epoch": 0.78, + "learning_rate": 1.258289450761182e-06, + "loss": 0.6435, + "step": 11406 + }, + { + "epoch": 0.78, + "learning_rate": 1.2575586707138716e-06, + "loss": 0.8408, + "step": 11407 + }, + { + "epoch": 0.78, + "learning_rate": 1.2568280724102633e-06, + "loss": 0.8509, + "step": 11408 + }, + { + "epoch": 0.78, + "learning_rate": 1.2560976558858372e-06, + "loss": 0.562, + "step": 11409 + }, + { + "epoch": 0.78, + "learning_rate": 1.2553674211760647e-06, + "loss": 0.8737, + "step": 11410 + }, + { + "epoch": 0.78, + "learning_rate": 1.2546373683164081e-06, + "loss": 0.6748, + "step": 11411 + }, + { + "epoch": 0.78, + "learning_rate": 1.2539074973423205e-06, + "loss": 0.8954, + "step": 11412 + }, + { + "epoch": 0.78, + "learning_rate": 1.253177808289246e-06, + "loss": 0.7759, + "step": 11413 + }, + { + "epoch": 0.78, + "learning_rate": 1.252448301192622e-06, + "loss": 0.6265, + "step": 11414 + }, + { + "epoch": 0.78, + "learning_rate": 1.251718976087874e-06, + "loss": 0.9852, + "step": 11415 + }, + { + "epoch": 0.78, + "learning_rate": 1.2509898330104202e-06, + "loss": 0.6277, + "step": 11416 + }, + { + "epoch": 0.78, + "learning_rate": 1.250260871995671e-06, + "loss": 0.7767, + "step": 11417 + }, + { + "epoch": 0.78, + "learning_rate": 1.2495320930790262e-06, + "loss": 0.5863, + "step": 11418 + }, + { + "epoch": 0.78, + "learning_rate": 1.248803496295879e-06, + "loss": 0.8874, + "step": 11419 + }, + { + "epoch": 0.78, + "learning_rate": 1.2480750816816067e-06, + "loss": 0.5764, + "step": 11420 + }, + { + "epoch": 0.78, + "learning_rate": 1.2473468492715896e-06, + "loss": 0.6696, + "step": 11421 + }, + { + "epoch": 0.78, + "learning_rate": 1.2466187991011908e-06, + "loss": 0.5805, + "step": 11422 + }, + { + "epoch": 0.78, + "learning_rate": 1.2458909312057649e-06, + "loss": 0.5346, + "step": 11423 + }, + { + "epoch": 0.78, + "learning_rate": 1.2451632456206587e-06, + "loss": 0.5398, + "step": 11424 + }, + { + "epoch": 0.78, + "learning_rate": 1.2444357423812148e-06, + "loss": 0.5988, + "step": 11425 + }, + { + "epoch": 0.78, + "learning_rate": 1.243708421522759e-06, + "loss": 0.6734, + "step": 11426 + }, + { + "epoch": 0.78, + "learning_rate": 1.2429812830806125e-06, + "loss": 0.8426, + "step": 11427 + }, + { + "epoch": 0.78, + "learning_rate": 1.2422543270900906e-06, + "loss": 0.5691, + "step": 11428 + }, + { + "epoch": 0.78, + "learning_rate": 1.2415275535864924e-06, + "loss": 0.4531, + "step": 11429 + }, + { + "epoch": 0.78, + "learning_rate": 1.2408009626051137e-06, + "loss": 0.7688, + "step": 11430 + }, + { + "epoch": 0.78, + "learning_rate": 1.2400745541812399e-06, + "loss": 0.5619, + "step": 11431 + }, + { + "epoch": 0.78, + "learning_rate": 1.2393483283501468e-06, + "loss": 0.7733, + "step": 11432 + }, + { + "epoch": 0.78, + "learning_rate": 1.238622285147103e-06, + "loss": 0.804, + "step": 11433 + }, + { + "epoch": 0.78, + "learning_rate": 1.2378964246073667e-06, + "loss": 0.6327, + "step": 11434 + }, + { + "epoch": 0.78, + "learning_rate": 1.237170746766188e-06, + "loss": 0.8151, + "step": 11435 + }, + { + "epoch": 0.78, + "learning_rate": 1.2364452516588077e-06, + "loss": 0.4222, + "step": 11436 + }, + { + "epoch": 0.78, + "learning_rate": 1.2357199393204577e-06, + "loss": 0.668, + "step": 11437 + }, + { + "epoch": 0.78, + "learning_rate": 1.2349948097863618e-06, + "loss": 0.8311, + "step": 11438 + }, + { + "epoch": 0.78, + "learning_rate": 1.2342698630917337e-06, + "loss": 0.8108, + "step": 11439 + }, + { + "epoch": 0.78, + "learning_rate": 1.2335450992717802e-06, + "loss": 0.9297, + "step": 11440 + }, + { + "epoch": 0.78, + "learning_rate": 1.2328205183616964e-06, + "loss": 0.6775, + "step": 11441 + }, + { + "epoch": 0.78, + "learning_rate": 1.232096120396672e-06, + "loss": 0.642, + "step": 11442 + }, + { + "epoch": 0.78, + "learning_rate": 1.2313719054118817e-06, + "loss": 0.3683, + "step": 11443 + }, + { + "epoch": 0.78, + "learning_rate": 1.2306478734424998e-06, + "loss": 0.9022, + "step": 11444 + }, + { + "epoch": 0.78, + "learning_rate": 1.2299240245236876e-06, + "loss": 0.6823, + "step": 11445 + }, + { + "epoch": 0.78, + "learning_rate": 1.2292003586905922e-06, + "loss": 0.7617, + "step": 11446 + }, + { + "epoch": 0.78, + "learning_rate": 1.2284768759783633e-06, + "loss": 0.526, + "step": 11447 + }, + { + "epoch": 0.78, + "learning_rate": 1.2277535764221304e-06, + "loss": 0.6226, + "step": 11448 + }, + { + "epoch": 0.78, + "learning_rate": 1.2270304600570193e-06, + "loss": 0.696, + "step": 11449 + }, + { + "epoch": 0.78, + "learning_rate": 1.2263075269181517e-06, + "loss": 0.8118, + "step": 11450 + }, + { + "epoch": 0.78, + "learning_rate": 1.2255847770406297e-06, + "loss": 0.6638, + "step": 11451 + }, + { + "epoch": 0.78, + "learning_rate": 1.2248622104595531e-06, + "loss": 0.74, + "step": 11452 + }, + { + "epoch": 0.78, + "learning_rate": 1.2241398272100153e-06, + "loss": 0.8984, + "step": 11453 + }, + { + "epoch": 0.78, + "learning_rate": 1.2234176273270937e-06, + "loss": 0.7097, + "step": 11454 + }, + { + "epoch": 0.78, + "learning_rate": 1.22269561084586e-06, + "loss": 0.3962, + "step": 11455 + }, + { + "epoch": 0.78, + "learning_rate": 1.2219737778013819e-06, + "loss": 0.67, + "step": 11456 + }, + { + "epoch": 0.78, + "learning_rate": 1.2212521282287093e-06, + "loss": 0.8217, + "step": 11457 + }, + { + "epoch": 0.78, + "learning_rate": 1.2205306621628887e-06, + "loss": 0.6847, + "step": 11458 + }, + { + "epoch": 0.78, + "learning_rate": 1.2198093796389572e-06, + "loss": 0.5527, + "step": 11459 + }, + { + "epoch": 0.78, + "learning_rate": 1.2190882806919418e-06, + "loss": 0.7426, + "step": 11460 + }, + { + "epoch": 0.78, + "learning_rate": 1.2183673653568617e-06, + "loss": 0.7946, + "step": 11461 + }, + { + "epoch": 0.78, + "learning_rate": 1.217646633668726e-06, + "loss": 0.8382, + "step": 11462 + }, + { + "epoch": 0.78, + "learning_rate": 1.2169260856625358e-06, + "loss": 0.5737, + "step": 11463 + }, + { + "epoch": 0.78, + "learning_rate": 1.216205721373283e-06, + "loss": 0.6319, + "step": 11464 + }, + { + "epoch": 0.78, + "learning_rate": 1.2154855408359507e-06, + "loss": 0.6638, + "step": 11465 + }, + { + "epoch": 0.78, + "learning_rate": 1.2147655440855128e-06, + "loss": 0.7278, + "step": 11466 + }, + { + "epoch": 0.78, + "learning_rate": 1.2140457311569354e-06, + "loss": 0.6634, + "step": 11467 + }, + { + "epoch": 0.78, + "learning_rate": 1.2133261020851712e-06, + "loss": 0.6791, + "step": 11468 + }, + { + "epoch": 0.78, + "learning_rate": 1.2126066569051708e-06, + "loss": 0.6831, + "step": 11469 + }, + { + "epoch": 0.78, + "learning_rate": 1.2118873956518735e-06, + "loss": 0.6994, + "step": 11470 + }, + { + "epoch": 0.78, + "learning_rate": 1.2111683183602041e-06, + "loss": 0.7441, + "step": 11471 + }, + { + "epoch": 0.78, + "learning_rate": 1.2104494250650868e-06, + "loss": 0.6382, + "step": 11472 + }, + { + "epoch": 0.78, + "learning_rate": 1.2097307158014337e-06, + "loss": 0.9996, + "step": 11473 + }, + { + "epoch": 0.78, + "learning_rate": 1.209012190604143e-06, + "loss": 0.6695, + "step": 11474 + }, + { + "epoch": 0.78, + "learning_rate": 1.2082938495081143e-06, + "loss": 0.3702, + "step": 11475 + }, + { + "epoch": 0.78, + "learning_rate": 1.2075756925482268e-06, + "loss": 0.6959, + "step": 11476 + }, + { + "epoch": 0.78, + "learning_rate": 1.2068577197593594e-06, + "loss": 0.5968, + "step": 11477 + }, + { + "epoch": 0.78, + "learning_rate": 1.2061399311763778e-06, + "loss": 0.8105, + "step": 11478 + }, + { + "epoch": 0.78, + "learning_rate": 1.2054223268341403e-06, + "loss": 0.5801, + "step": 11479 + }, + { + "epoch": 0.78, + "learning_rate": 1.204704906767496e-06, + "loss": 0.9572, + "step": 11480 + }, + { + "epoch": 0.78, + "learning_rate": 1.2039876710112847e-06, + "loss": 0.809, + "step": 11481 + }, + { + "epoch": 0.78, + "learning_rate": 1.203270619600337e-06, + "loss": 0.6094, + "step": 11482 + }, + { + "epoch": 0.78, + "learning_rate": 1.2025537525694752e-06, + "loss": 0.8583, + "step": 11483 + }, + { + "epoch": 0.78, + "learning_rate": 1.2018370699535126e-06, + "loss": 0.6014, + "step": 11484 + }, + { + "epoch": 0.78, + "learning_rate": 1.2011205717872538e-06, + "loss": 1.0025, + "step": 11485 + }, + { + "epoch": 0.78, + "learning_rate": 1.200404258105493e-06, + "loss": 0.7021, + "step": 11486 + }, + { + "epoch": 0.78, + "learning_rate": 1.1996881289430173e-06, + "loss": 0.8741, + "step": 11487 + }, + { + "epoch": 0.78, + "learning_rate": 1.198972184334603e-06, + "loss": 0.9419, + "step": 11488 + }, + { + "epoch": 0.78, + "learning_rate": 1.1982564243150197e-06, + "loss": 1.0439, + "step": 11489 + }, + { + "epoch": 0.78, + "learning_rate": 1.197540848919026e-06, + "loss": 0.6723, + "step": 11490 + }, + { + "epoch": 0.78, + "learning_rate": 1.1968254581813726e-06, + "loss": 0.3107, + "step": 11491 + }, + { + "epoch": 0.78, + "learning_rate": 1.1961102521368007e-06, + "loss": 0.7389, + "step": 11492 + }, + { + "epoch": 0.78, + "learning_rate": 1.1953952308200428e-06, + "loss": 0.8851, + "step": 11493 + }, + { + "epoch": 0.78, + "learning_rate": 1.1946803942658224e-06, + "loss": 0.8876, + "step": 11494 + }, + { + "epoch": 0.78, + "learning_rate": 1.1939657425088558e-06, + "loss": 0.6707, + "step": 11495 + }, + { + "epoch": 0.78, + "learning_rate": 1.1932512755838448e-06, + "loss": 0.6751, + "step": 11496 + }, + { + "epoch": 0.78, + "learning_rate": 1.1925369935254872e-06, + "loss": 0.6413, + "step": 11497 + }, + { + "epoch": 0.78, + "learning_rate": 1.1918228963684735e-06, + "loss": 0.78, + "step": 11498 + }, + { + "epoch": 0.78, + "learning_rate": 1.1911089841474793e-06, + "loss": 0.788, + "step": 11499 + }, + { + "epoch": 0.78, + "learning_rate": 1.1903952568971733e-06, + "loss": 0.6462, + "step": 11500 + }, + { + "epoch": 0.78, + "learning_rate": 1.189681714652221e-06, + "loss": 0.5766, + "step": 11501 + }, + { + "epoch": 0.78, + "learning_rate": 1.1889683574472695e-06, + "loss": 0.9078, + "step": 11502 + }, + { + "epoch": 0.78, + "learning_rate": 1.188255185316961e-06, + "loss": 0.7474, + "step": 11503 + }, + { + "epoch": 0.78, + "learning_rate": 1.1875421982959345e-06, + "loss": 0.5719, + "step": 11504 + }, + { + "epoch": 0.78, + "learning_rate": 1.1868293964188099e-06, + "loss": 0.6414, + "step": 11505 + }, + { + "epoch": 0.78, + "learning_rate": 1.1861167797202045e-06, + "loss": 0.5032, + "step": 11506 + }, + { + "epoch": 0.78, + "learning_rate": 1.185404348234725e-06, + "loss": 0.7738, + "step": 11507 + }, + { + "epoch": 0.78, + "learning_rate": 1.1846921019969683e-06, + "loss": 0.7474, + "step": 11508 + }, + { + "epoch": 0.78, + "learning_rate": 1.1839800410415242e-06, + "loss": 0.8087, + "step": 11509 + }, + { + "epoch": 0.78, + "learning_rate": 1.1832681654029721e-06, + "loss": 0.6445, + "step": 11510 + }, + { + "epoch": 0.78, + "learning_rate": 1.1825564751158825e-06, + "loss": 0.6728, + "step": 11511 + }, + { + "epoch": 0.78, + "learning_rate": 1.1818449702148176e-06, + "loss": 0.6154, + "step": 11512 + }, + { + "epoch": 0.78, + "learning_rate": 1.1811336507343296e-06, + "loss": 1.0645, + "step": 11513 + }, + { + "epoch": 0.78, + "learning_rate": 1.1804225167089622e-06, + "loss": 0.8085, + "step": 11514 + }, + { + "epoch": 0.78, + "learning_rate": 1.1797115681732525e-06, + "loss": 0.6869, + "step": 11515 + }, + { + "epoch": 0.78, + "learning_rate": 1.1790008051617203e-06, + "loss": 0.616, + "step": 11516 + }, + { + "epoch": 0.78, + "learning_rate": 1.178290227708888e-06, + "loss": 0.5062, + "step": 11517 + }, + { + "epoch": 0.78, + "learning_rate": 1.177579835849263e-06, + "loss": 0.7788, + "step": 11518 + }, + { + "epoch": 0.78, + "learning_rate": 1.1768696296173387e-06, + "loss": 0.83, + "step": 11519 + }, + { + "epoch": 0.78, + "learning_rate": 1.1761596090476102e-06, + "loss": 0.7882, + "step": 11520 + }, + { + "epoch": 0.78, + "learning_rate": 1.1754497741745573e-06, + "loss": 0.6967, + "step": 11521 + }, + { + "epoch": 0.78, + "learning_rate": 1.1747401250326484e-06, + "loss": 0.7467, + "step": 11522 + }, + { + "epoch": 0.78, + "learning_rate": 1.1740306616563506e-06, + "loss": 0.6368, + "step": 11523 + }, + { + "epoch": 0.78, + "learning_rate": 1.1733213840801144e-06, + "loss": 0.7861, + "step": 11524 + }, + { + "epoch": 0.78, + "learning_rate": 1.1726122923383832e-06, + "loss": 0.8454, + "step": 11525 + }, + { + "epoch": 0.78, + "learning_rate": 1.171903386465597e-06, + "loss": 0.5913, + "step": 11526 + }, + { + "epoch": 0.78, + "learning_rate": 1.1711946664961792e-06, + "loss": 0.5076, + "step": 11527 + }, + { + "epoch": 0.78, + "learning_rate": 1.170486132464546e-06, + "loss": 0.8551, + "step": 11528 + }, + { + "epoch": 0.78, + "learning_rate": 1.1697777844051105e-06, + "loss": 0.8208, + "step": 11529 + }, + { + "epoch": 0.78, + "learning_rate": 1.169069622352268e-06, + "loss": 0.7041, + "step": 11530 + }, + { + "epoch": 0.78, + "learning_rate": 1.1683616463404085e-06, + "loss": 0.9021, + "step": 11531 + }, + { + "epoch": 0.78, + "learning_rate": 1.1676538564039186e-06, + "loss": 0.6945, + "step": 11532 + }, + { + "epoch": 0.78, + "learning_rate": 1.1669462525771651e-06, + "loss": 0.7184, + "step": 11533 + }, + { + "epoch": 0.78, + "learning_rate": 1.1662388348945132e-06, + "loss": 0.8332, + "step": 11534 + }, + { + "epoch": 0.78, + "learning_rate": 1.1655316033903175e-06, + "loss": 0.7263, + "step": 11535 + }, + { + "epoch": 0.78, + "learning_rate": 1.1648245580989226e-06, + "loss": 0.8534, + "step": 11536 + }, + { + "epoch": 0.78, + "learning_rate": 1.164117699054665e-06, + "loss": 0.7152, + "step": 11537 + }, + { + "epoch": 0.79, + "learning_rate": 1.1634110262918718e-06, + "loss": 0.5187, + "step": 11538 + }, + { + "epoch": 0.79, + "learning_rate": 1.1627045398448605e-06, + "loss": 0.5957, + "step": 11539 + }, + { + "epoch": 0.79, + "learning_rate": 1.1619982397479412e-06, + "loss": 0.8904, + "step": 11540 + }, + { + "epoch": 0.79, + "learning_rate": 1.1612921260354132e-06, + "loss": 0.7529, + "step": 11541 + }, + { + "epoch": 0.79, + "learning_rate": 1.1605861987415673e-06, + "loss": 0.7534, + "step": 11542 + }, + { + "epoch": 0.79, + "learning_rate": 1.1598804579006872e-06, + "loss": 0.7252, + "step": 11543 + }, + { + "epoch": 0.79, + "learning_rate": 1.1591749035470407e-06, + "loss": 0.9227, + "step": 11544 + }, + { + "epoch": 0.79, + "learning_rate": 1.1584695357148968e-06, + "loss": 0.839, + "step": 11545 + }, + { + "epoch": 0.79, + "learning_rate": 1.1577643544385092e-06, + "loss": 0.5869, + "step": 11546 + }, + { + "epoch": 0.79, + "learning_rate": 1.1570593597521201e-06, + "loss": 0.621, + "step": 11547 + }, + { + "epoch": 0.79, + "learning_rate": 1.15635455168997e-06, + "loss": 0.467, + "step": 11548 + }, + { + "epoch": 0.79, + "learning_rate": 1.1556499302862862e-06, + "loss": 0.7304, + "step": 11549 + }, + { + "epoch": 0.79, + "learning_rate": 1.154945495575283e-06, + "loss": 0.7693, + "step": 11550 + }, + { + "epoch": 0.79, + "learning_rate": 1.1542412475911758e-06, + "loss": 0.9417, + "step": 11551 + }, + { + "epoch": 0.79, + "learning_rate": 1.1535371863681604e-06, + "loss": 0.911, + "step": 11552 + }, + { + "epoch": 0.79, + "learning_rate": 1.152833311940429e-06, + "loss": 0.6078, + "step": 11553 + }, + { + "epoch": 0.79, + "learning_rate": 1.1521296243421643e-06, + "loss": 0.951, + "step": 11554 + }, + { + "epoch": 0.79, + "learning_rate": 1.1514261236075398e-06, + "loss": 0.7811, + "step": 11555 + }, + { + "epoch": 0.79, + "learning_rate": 1.1507228097707186e-06, + "loss": 0.6374, + "step": 11556 + }, + { + "epoch": 0.79, + "learning_rate": 1.1500196828658555e-06, + "loss": 0.628, + "step": 11557 + }, + { + "epoch": 0.79, + "learning_rate": 1.149316742927098e-06, + "loss": 0.7371, + "step": 11558 + }, + { + "epoch": 0.79, + "learning_rate": 1.1486139899885805e-06, + "loss": 0.7231, + "step": 11559 + }, + { + "epoch": 0.79, + "learning_rate": 1.147911424084433e-06, + "loss": 0.8884, + "step": 11560 + }, + { + "epoch": 0.79, + "learning_rate": 1.1472090452487728e-06, + "loss": 0.623, + "step": 11561 + }, + { + "epoch": 0.79, + "learning_rate": 1.1465068535157098e-06, + "loss": 0.72, + "step": 11562 + }, + { + "epoch": 0.79, + "learning_rate": 1.145804848919344e-06, + "loss": 0.7058, + "step": 11563 + }, + { + "epoch": 0.79, + "learning_rate": 1.1451030314937678e-06, + "loss": 0.7141, + "step": 11564 + }, + { + "epoch": 0.79, + "learning_rate": 1.144401401273062e-06, + "loss": 0.8052, + "step": 11565 + }, + { + "epoch": 0.79, + "learning_rate": 1.143699958291301e-06, + "loss": 0.6801, + "step": 11566 + }, + { + "epoch": 0.79, + "learning_rate": 1.1429987025825485e-06, + "loss": 0.8041, + "step": 11567 + }, + { + "epoch": 0.79, + "learning_rate": 1.1422976341808595e-06, + "loss": 0.8744, + "step": 11568 + }, + { + "epoch": 0.79, + "learning_rate": 1.14159675312028e-06, + "loss": 0.7076, + "step": 11569 + }, + { + "epoch": 0.79, + "learning_rate": 1.1408960594348461e-06, + "loss": 0.5701, + "step": 11570 + }, + { + "epoch": 0.79, + "learning_rate": 1.1401955531585878e-06, + "loss": 0.681, + "step": 11571 + }, + { + "epoch": 0.79, + "learning_rate": 1.1394952343255206e-06, + "loss": 0.485, + "step": 11572 + }, + { + "epoch": 0.79, + "learning_rate": 1.1387951029696543e-06, + "loss": 0.7024, + "step": 11573 + }, + { + "epoch": 0.79, + "learning_rate": 1.1380951591249927e-06, + "loss": 0.7862, + "step": 11574 + }, + { + "epoch": 0.79, + "learning_rate": 1.1373954028255236e-06, + "loss": 0.739, + "step": 11575 + }, + { + "epoch": 0.79, + "learning_rate": 1.1366958341052282e-06, + "loss": 0.7489, + "step": 11576 + }, + { + "epoch": 0.79, + "learning_rate": 1.135996452998085e-06, + "loss": 0.8764, + "step": 11577 + }, + { + "epoch": 0.79, + "learning_rate": 1.1352972595380534e-06, + "loss": 0.5419, + "step": 11578 + }, + { + "epoch": 0.79, + "learning_rate": 1.1345982537590894e-06, + "loss": 0.9097, + "step": 11579 + }, + { + "epoch": 0.79, + "learning_rate": 1.1338994356951384e-06, + "loss": 0.7872, + "step": 11580 + }, + { + "epoch": 0.79, + "learning_rate": 1.1332008053801374e-06, + "loss": 0.5388, + "step": 11581 + }, + { + "epoch": 0.79, + "learning_rate": 1.132502362848014e-06, + "loss": 0.7177, + "step": 11582 + }, + { + "epoch": 0.79, + "learning_rate": 1.1318041081326868e-06, + "loss": 0.3233, + "step": 11583 + }, + { + "epoch": 0.79, + "learning_rate": 1.1311060412680646e-06, + "loss": 0.6744, + "step": 11584 + }, + { + "epoch": 0.79, + "learning_rate": 1.1304081622880475e-06, + "loss": 0.7311, + "step": 11585 + }, + { + "epoch": 0.79, + "learning_rate": 1.1297104712265272e-06, + "loss": 0.6313, + "step": 11586 + }, + { + "epoch": 0.79, + "learning_rate": 1.1290129681173845e-06, + "loss": 0.8619, + "step": 11587 + }, + { + "epoch": 0.79, + "learning_rate": 1.1283156529944945e-06, + "loss": 0.6422, + "step": 11588 + }, + { + "epoch": 0.79, + "learning_rate": 1.1276185258917154e-06, + "loss": 0.8118, + "step": 11589 + }, + { + "epoch": 0.79, + "learning_rate": 1.1269215868429078e-06, + "loss": 0.7262, + "step": 11590 + }, + { + "epoch": 0.79, + "learning_rate": 1.1262248358819156e-06, + "loss": 0.5401, + "step": 11591 + }, + { + "epoch": 0.79, + "learning_rate": 1.1255282730425708e-06, + "loss": 0.8048, + "step": 11592 + }, + { + "epoch": 0.79, + "learning_rate": 1.1248318983587052e-06, + "loss": 0.4838, + "step": 11593 + }, + { + "epoch": 0.79, + "learning_rate": 1.124135711864137e-06, + "loss": 0.8715, + "step": 11594 + }, + { + "epoch": 0.79, + "learning_rate": 1.1234397135926705e-06, + "loss": 0.8397, + "step": 11595 + }, + { + "epoch": 0.79, + "learning_rate": 1.1227439035781095e-06, + "loss": 0.7901, + "step": 11596 + }, + { + "epoch": 0.79, + "learning_rate": 1.1220482818542445e-06, + "loss": 0.685, + "step": 11597 + }, + { + "epoch": 0.79, + "learning_rate": 1.1213528484548531e-06, + "loss": 0.9706, + "step": 11598 + }, + { + "epoch": 0.79, + "learning_rate": 1.1206576034137122e-06, + "loss": 0.6641, + "step": 11599 + }, + { + "epoch": 0.79, + "learning_rate": 1.1199625467645819e-06, + "loss": 0.7646, + "step": 11600 + }, + { + "epoch": 0.79, + "learning_rate": 1.1192676785412154e-06, + "loss": 0.6769, + "step": 11601 + }, + { + "epoch": 0.79, + "learning_rate": 1.118572998777362e-06, + "loss": 0.7869, + "step": 11602 + }, + { + "epoch": 0.79, + "learning_rate": 1.1178785075067527e-06, + "loss": 0.7321, + "step": 11603 + }, + { + "epoch": 0.79, + "learning_rate": 1.1171842047631144e-06, + "loss": 0.8786, + "step": 11604 + }, + { + "epoch": 0.79, + "learning_rate": 1.1164900905801685e-06, + "loss": 0.6425, + "step": 11605 + }, + { + "epoch": 0.79, + "learning_rate": 1.1157961649916194e-06, + "loss": 0.8607, + "step": 11606 + }, + { + "epoch": 0.79, + "learning_rate": 1.1151024280311668e-06, + "loss": 0.6767, + "step": 11607 + }, + { + "epoch": 0.79, + "learning_rate": 1.114408879732501e-06, + "loss": 0.4706, + "step": 11608 + }, + { + "epoch": 0.79, + "learning_rate": 1.1137155201293021e-06, + "loss": 0.5257, + "step": 11609 + }, + { + "epoch": 0.79, + "learning_rate": 1.1130223492552428e-06, + "loss": 0.4968, + "step": 11610 + }, + { + "epoch": 0.79, + "learning_rate": 1.1123293671439844e-06, + "loss": 0.7106, + "step": 11611 + }, + { + "epoch": 0.79, + "learning_rate": 1.1116365738291808e-06, + "loss": 0.8964, + "step": 11612 + }, + { + "epoch": 0.79, + "learning_rate": 1.1109439693444758e-06, + "loss": 0.854, + "step": 11613 + }, + { + "epoch": 0.79, + "learning_rate": 1.1102515537235037e-06, + "loss": 0.8056, + "step": 11614 + }, + { + "epoch": 0.79, + "learning_rate": 1.109559326999891e-06, + "loss": 0.4346, + "step": 11615 + }, + { + "epoch": 0.79, + "learning_rate": 1.1088672892072555e-06, + "loss": 0.7672, + "step": 11616 + }, + { + "epoch": 0.79, + "learning_rate": 1.1081754403792e-06, + "loss": 0.6862, + "step": 11617 + }, + { + "epoch": 0.79, + "learning_rate": 1.1074837805493271e-06, + "loss": 0.8432, + "step": 11618 + }, + { + "epoch": 0.79, + "learning_rate": 1.1067923097512256e-06, + "loss": 0.6444, + "step": 11619 + }, + { + "epoch": 0.79, + "learning_rate": 1.1061010280184708e-06, + "loss": 0.6446, + "step": 11620 + }, + { + "epoch": 0.79, + "learning_rate": 1.1054099353846387e-06, + "loss": 0.7461, + "step": 11621 + }, + { + "epoch": 0.79, + "learning_rate": 1.1047190318832897e-06, + "loss": 0.9377, + "step": 11622 + }, + { + "epoch": 0.79, + "learning_rate": 1.1040283175479721e-06, + "loss": 0.8712, + "step": 11623 + }, + { + "epoch": 0.79, + "learning_rate": 1.103337792412233e-06, + "loss": 0.7871, + "step": 11624 + }, + { + "epoch": 0.79, + "learning_rate": 1.1026474565096068e-06, + "loss": 0.7377, + "step": 11625 + }, + { + "epoch": 0.79, + "learning_rate": 1.1019573098736148e-06, + "loss": 0.9668, + "step": 11626 + }, + { + "epoch": 0.79, + "learning_rate": 1.1012673525377743e-06, + "loss": 0.7394, + "step": 11627 + }, + { + "epoch": 0.79, + "learning_rate": 1.100577584535592e-06, + "loss": 0.6703, + "step": 11628 + }, + { + "epoch": 0.79, + "learning_rate": 1.099888005900564e-06, + "loss": 0.9431, + "step": 11629 + }, + { + "epoch": 0.79, + "learning_rate": 1.099198616666179e-06, + "loss": 0.596, + "step": 11630 + }, + { + "epoch": 0.79, + "learning_rate": 1.098509416865915e-06, + "loss": 0.6704, + "step": 11631 + }, + { + "epoch": 0.79, + "learning_rate": 1.0978204065332426e-06, + "loss": 0.5532, + "step": 11632 + }, + { + "epoch": 0.79, + "learning_rate": 1.0971315857016213e-06, + "loss": 0.4825, + "step": 11633 + }, + { + "epoch": 0.79, + "learning_rate": 1.0964429544045024e-06, + "loss": 0.6654, + "step": 11634 + }, + { + "epoch": 0.79, + "learning_rate": 1.0957545126753276e-06, + "loss": 0.7156, + "step": 11635 + }, + { + "epoch": 0.79, + "learning_rate": 1.0950662605475298e-06, + "loss": 0.6779, + "step": 11636 + }, + { + "epoch": 0.79, + "learning_rate": 1.0943781980545332e-06, + "loss": 0.8398, + "step": 11637 + }, + { + "epoch": 0.79, + "learning_rate": 1.0936903252297509e-06, + "loss": 0.6218, + "step": 11638 + }, + { + "epoch": 0.79, + "learning_rate": 1.0930026421065887e-06, + "loss": 0.6395, + "step": 11639 + }, + { + "epoch": 0.79, + "learning_rate": 1.0923151487184426e-06, + "loss": 0.5491, + "step": 11640 + }, + { + "epoch": 0.79, + "learning_rate": 1.0916278450986983e-06, + "loss": 0.9507, + "step": 11641 + }, + { + "epoch": 0.79, + "learning_rate": 1.090940731280734e-06, + "loss": 0.6742, + "step": 11642 + }, + { + "epoch": 0.79, + "learning_rate": 1.0902538072979184e-06, + "loss": 0.7064, + "step": 11643 + }, + { + "epoch": 0.79, + "learning_rate": 1.0895670731836094e-06, + "loss": 0.8856, + "step": 11644 + }, + { + "epoch": 0.79, + "learning_rate": 1.088880528971159e-06, + "loss": 0.8033, + "step": 11645 + }, + { + "epoch": 0.79, + "learning_rate": 1.0881941746939028e-06, + "loss": 0.4792, + "step": 11646 + }, + { + "epoch": 0.79, + "learning_rate": 1.0875080103851787e-06, + "loss": 0.6846, + "step": 11647 + }, + { + "epoch": 0.79, + "learning_rate": 1.0868220360783038e-06, + "loss": 0.7979, + "step": 11648 + }, + { + "epoch": 0.79, + "learning_rate": 1.0861362518065915e-06, + "loss": 0.708, + "step": 11649 + }, + { + "epoch": 0.79, + "learning_rate": 1.085450657603349e-06, + "loss": 0.8712, + "step": 11650 + }, + { + "epoch": 0.79, + "learning_rate": 1.084765253501867e-06, + "loss": 0.7686, + "step": 11651 + }, + { + "epoch": 0.79, + "learning_rate": 1.0840800395354312e-06, + "loss": 0.7226, + "step": 11652 + }, + { + "epoch": 0.79, + "learning_rate": 1.0833950157373207e-06, + "loss": 0.8024, + "step": 11653 + }, + { + "epoch": 0.79, + "learning_rate": 1.0827101821407988e-06, + "loss": 0.6787, + "step": 11654 + }, + { + "epoch": 0.79, + "learning_rate": 1.082025538779124e-06, + "loss": 0.7982, + "step": 11655 + }, + { + "epoch": 0.79, + "learning_rate": 1.0813410856855444e-06, + "loss": 0.6161, + "step": 11656 + }, + { + "epoch": 0.79, + "learning_rate": 1.0806568228932995e-06, + "loss": 0.8186, + "step": 11657 + }, + { + "epoch": 0.79, + "learning_rate": 1.079972750435619e-06, + "loss": 0.8038, + "step": 11658 + }, + { + "epoch": 0.79, + "learning_rate": 1.0792888683457231e-06, + "loss": 0.7189, + "step": 11659 + }, + { + "epoch": 0.79, + "learning_rate": 1.0786051766568233e-06, + "loss": 0.5746, + "step": 11660 + }, + { + "epoch": 0.79, + "learning_rate": 1.0779216754021215e-06, + "loss": 0.6783, + "step": 11661 + }, + { + "epoch": 0.79, + "learning_rate": 1.0772383646148111e-06, + "loss": 0.9844, + "step": 11662 + }, + { + "epoch": 0.79, + "learning_rate": 1.0765552443280748e-06, + "loss": 0.7549, + "step": 11663 + }, + { + "epoch": 0.79, + "learning_rate": 1.0758723145750882e-06, + "loss": 0.8238, + "step": 11664 + }, + { + "epoch": 0.79, + "learning_rate": 1.0751895753890125e-06, + "loss": 0.709, + "step": 11665 + }, + { + "epoch": 0.79, + "learning_rate": 1.0745070268030077e-06, + "loss": 0.9693, + "step": 11666 + }, + { + "epoch": 0.79, + "learning_rate": 1.0738246688502207e-06, + "loss": 0.8927, + "step": 11667 + }, + { + "epoch": 0.79, + "learning_rate": 1.0731425015637841e-06, + "loss": 0.5297, + "step": 11668 + }, + { + "epoch": 0.79, + "learning_rate": 1.07246052497683e-06, + "loss": 0.5923, + "step": 11669 + }, + { + "epoch": 0.79, + "learning_rate": 1.071778739122477e-06, + "loss": 0.5489, + "step": 11670 + }, + { + "epoch": 0.79, + "learning_rate": 1.0710971440338314e-06, + "loss": 0.7412, + "step": 11671 + }, + { + "epoch": 0.79, + "learning_rate": 1.0704157397439962e-06, + "loss": 0.5434, + "step": 11672 + }, + { + "epoch": 0.79, + "learning_rate": 1.0697345262860638e-06, + "loss": 0.7353, + "step": 11673 + }, + { + "epoch": 0.79, + "learning_rate": 1.0690535036931104e-06, + "loss": 0.4678, + "step": 11674 + }, + { + "epoch": 0.79, + "learning_rate": 1.0683726719982146e-06, + "loss": 0.8012, + "step": 11675 + }, + { + "epoch": 0.79, + "learning_rate": 1.0676920312344358e-06, + "loss": 0.9419, + "step": 11676 + }, + { + "epoch": 0.79, + "learning_rate": 1.067011581434827e-06, + "loss": 0.555, + "step": 11677 + }, + { + "epoch": 0.79, + "learning_rate": 1.0663313226324373e-06, + "loss": 1.0361, + "step": 11678 + }, + { + "epoch": 0.79, + "learning_rate": 1.0656512548602977e-06, + "loss": 0.5815, + "step": 11679 + }, + { + "epoch": 0.79, + "learning_rate": 1.0649713781514348e-06, + "loss": 0.6081, + "step": 11680 + }, + { + "epoch": 0.79, + "learning_rate": 1.064291692538869e-06, + "loss": 0.8655, + "step": 11681 + }, + { + "epoch": 0.79, + "learning_rate": 1.0636121980556042e-06, + "loss": 0.7712, + "step": 11682 + }, + { + "epoch": 0.79, + "learning_rate": 1.062932894734639e-06, + "loss": 1.142, + "step": 11683 + }, + { + "epoch": 0.79, + "learning_rate": 1.062253782608963e-06, + "loss": 0.5344, + "step": 11684 + }, + { + "epoch": 0.8, + "learning_rate": 1.0615748617115556e-06, + "loss": 0.693, + "step": 11685 + }, + { + "epoch": 0.8, + "learning_rate": 1.060896132075388e-06, + "loss": 0.7838, + "step": 11686 + }, + { + "epoch": 0.8, + "learning_rate": 1.0602175937334202e-06, + "loss": 0.7511, + "step": 11687 + }, + { + "epoch": 0.8, + "learning_rate": 1.059539246718604e-06, + "loss": 0.9312, + "step": 11688 + }, + { + "epoch": 0.8, + "learning_rate": 1.0588610910638825e-06, + "loss": 1.0178, + "step": 11689 + }, + { + "epoch": 0.8, + "learning_rate": 1.0581831268021886e-06, + "loss": 1.0028, + "step": 11690 + }, + { + "epoch": 0.8, + "learning_rate": 1.0575053539664465e-06, + "loss": 0.8146, + "step": 11691 + }, + { + "epoch": 0.8, + "learning_rate": 1.0568277725895715e-06, + "loss": 0.8292, + "step": 11692 + }, + { + "epoch": 0.8, + "learning_rate": 1.056150382704465e-06, + "loss": 0.6506, + "step": 11693 + }, + { + "epoch": 0.8, + "learning_rate": 1.0554731843440275e-06, + "loss": 0.5715, + "step": 11694 + }, + { + "epoch": 0.8, + "learning_rate": 1.0547961775411453e-06, + "loss": 0.7056, + "step": 11695 + }, + { + "epoch": 0.8, + "learning_rate": 1.0541193623286917e-06, + "loss": 0.5583, + "step": 11696 + }, + { + "epoch": 0.8, + "learning_rate": 1.0534427387395391e-06, + "loss": 0.7076, + "step": 11697 + }, + { + "epoch": 0.8, + "learning_rate": 1.0527663068065463e-06, + "loss": 0.6527, + "step": 11698 + }, + { + "epoch": 0.8, + "learning_rate": 1.0520900665625589e-06, + "loss": 0.6509, + "step": 11699 + }, + { + "epoch": 0.8, + "learning_rate": 1.0514140180404202e-06, + "loss": 0.7698, + "step": 11700 + }, + { + "epoch": 0.8, + "learning_rate": 1.0507381612729623e-06, + "loss": 0.6061, + "step": 11701 + }, + { + "epoch": 0.8, + "learning_rate": 1.0500624962930033e-06, + "loss": 0.721, + "step": 11702 + }, + { + "epoch": 0.8, + "learning_rate": 1.049387023133357e-06, + "loss": 0.6798, + "step": 11703 + }, + { + "epoch": 0.8, + "learning_rate": 1.048711741826826e-06, + "loss": 0.7757, + "step": 11704 + }, + { + "epoch": 0.8, + "learning_rate": 1.0480366524062041e-06, + "loss": 0.7814, + "step": 11705 + }, + { + "epoch": 0.8, + "learning_rate": 1.0473617549042757e-06, + "loss": 0.7647, + "step": 11706 + }, + { + "epoch": 0.8, + "learning_rate": 1.0466870493538162e-06, + "loss": 0.7855, + "step": 11707 + }, + { + "epoch": 0.8, + "learning_rate": 1.04601253578759e-06, + "loss": 0.6404, + "step": 11708 + }, + { + "epoch": 0.8, + "learning_rate": 1.0453382142383545e-06, + "loss": 0.6483, + "step": 11709 + }, + { + "epoch": 0.8, + "learning_rate": 1.0446640847388561e-06, + "loss": 0.6862, + "step": 11710 + }, + { + "epoch": 0.8, + "learning_rate": 1.0439901473218334e-06, + "loss": 0.7191, + "step": 11711 + }, + { + "epoch": 0.8, + "learning_rate": 1.043316402020013e-06, + "loss": 0.5728, + "step": 11712 + }, + { + "epoch": 0.8, + "learning_rate": 1.0426428488661162e-06, + "loss": 0.8103, + "step": 11713 + }, + { + "epoch": 0.8, + "learning_rate": 1.0419694878928505e-06, + "loss": 0.8757, + "step": 11714 + }, + { + "epoch": 0.8, + "learning_rate": 1.0412963191329172e-06, + "loss": 0.6525, + "step": 11715 + }, + { + "epoch": 0.8, + "learning_rate": 1.0406233426190077e-06, + "loss": 0.5685, + "step": 11716 + }, + { + "epoch": 0.8, + "learning_rate": 1.0399505583838027e-06, + "loss": 0.8479, + "step": 11717 + }, + { + "epoch": 0.8, + "learning_rate": 1.0392779664599766e-06, + "loss": 1.1, + "step": 11718 + }, + { + "epoch": 0.8, + "learning_rate": 1.0386055668801887e-06, + "loss": 0.6753, + "step": 11719 + }, + { + "epoch": 0.8, + "learning_rate": 1.0379333596770957e-06, + "loss": 0.5919, + "step": 11720 + }, + { + "epoch": 0.8, + "learning_rate": 1.0372613448833429e-06, + "loss": 0.6214, + "step": 11721 + }, + { + "epoch": 0.8, + "learning_rate": 1.0365895225315602e-06, + "loss": 0.5326, + "step": 11722 + }, + { + "epoch": 0.8, + "learning_rate": 1.0359178926543795e-06, + "loss": 0.8927, + "step": 11723 + }, + { + "epoch": 0.8, + "learning_rate": 1.0352464552844122e-06, + "loss": 0.7667, + "step": 11724 + }, + { + "epoch": 0.8, + "learning_rate": 1.0345752104542662e-06, + "loss": 0.6184, + "step": 11725 + }, + { + "epoch": 0.8, + "learning_rate": 1.033904158196542e-06, + "loss": 0.7337, + "step": 11726 + }, + { + "epoch": 0.8, + "learning_rate": 1.0332332985438248e-06, + "loss": 0.8876, + "step": 11727 + }, + { + "epoch": 0.8, + "learning_rate": 1.0325626315286936e-06, + "loss": 0.6591, + "step": 11728 + }, + { + "epoch": 0.8, + "learning_rate": 1.0318921571837204e-06, + "loss": 0.6, + "step": 11729 + }, + { + "epoch": 0.8, + "learning_rate": 1.0312218755414633e-06, + "loss": 0.6891, + "step": 11730 + }, + { + "epoch": 0.8, + "learning_rate": 1.0305517866344727e-06, + "loss": 0.8112, + "step": 11731 + }, + { + "epoch": 0.8, + "learning_rate": 1.0298818904952911e-06, + "loss": 0.7178, + "step": 11732 + }, + { + "epoch": 0.8, + "learning_rate": 1.0292121871564509e-06, + "loss": 0.6494, + "step": 11733 + }, + { + "epoch": 0.8, + "learning_rate": 1.0285426766504736e-06, + "loss": 0.7587, + "step": 11734 + }, + { + "epoch": 0.8, + "learning_rate": 1.0278733590098732e-06, + "loss": 1.1058, + "step": 11735 + }, + { + "epoch": 0.8, + "learning_rate": 1.027204234267154e-06, + "loss": 0.6662, + "step": 11736 + }, + { + "epoch": 0.8, + "learning_rate": 1.0265353024548103e-06, + "loss": 0.5829, + "step": 11737 + }, + { + "epoch": 0.8, + "learning_rate": 1.0258665636053272e-06, + "loss": 0.7703, + "step": 11738 + }, + { + "epoch": 0.8, + "learning_rate": 1.0251980177511806e-06, + "loss": 0.9316, + "step": 11739 + }, + { + "epoch": 0.8, + "learning_rate": 1.0245296649248388e-06, + "loss": 0.5636, + "step": 11740 + }, + { + "epoch": 0.8, + "learning_rate": 1.0238615051587542e-06, + "loss": 0.7859, + "step": 11741 + }, + { + "epoch": 0.8, + "learning_rate": 1.0231935384853792e-06, + "loss": 0.6005, + "step": 11742 + }, + { + "epoch": 0.8, + "learning_rate": 1.0225257649371518e-06, + "loss": 0.7648, + "step": 11743 + }, + { + "epoch": 0.8, + "learning_rate": 1.0218581845464974e-06, + "loss": 0.9042, + "step": 11744 + }, + { + "epoch": 0.8, + "learning_rate": 1.0211907973458391e-06, + "loss": 0.5836, + "step": 11745 + }, + { + "epoch": 0.8, + "learning_rate": 1.0205236033675875e-06, + "loss": 0.6306, + "step": 11746 + }, + { + "epoch": 0.8, + "learning_rate": 1.0198566026441398e-06, + "loss": 0.68, + "step": 11747 + }, + { + "epoch": 0.8, + "learning_rate": 1.0191897952078905e-06, + "loss": 0.58, + "step": 11748 + }, + { + "epoch": 0.8, + "learning_rate": 1.0185231810912223e-06, + "loss": 0.6342, + "step": 11749 + }, + { + "epoch": 0.8, + "learning_rate": 1.0178567603265038e-06, + "loss": 0.419, + "step": 11750 + }, + { + "epoch": 0.8, + "learning_rate": 1.017190532946104e-06, + "loss": 0.7296, + "step": 11751 + }, + { + "epoch": 0.8, + "learning_rate": 1.016524498982372e-06, + "loss": 0.6576, + "step": 11752 + }, + { + "epoch": 0.8, + "learning_rate": 1.0158586584676533e-06, + "loss": 0.7994, + "step": 11753 + }, + { + "epoch": 0.8, + "learning_rate": 1.015193011434286e-06, + "loss": 0.4995, + "step": 11754 + }, + { + "epoch": 0.8, + "learning_rate": 1.014527557914593e-06, + "loss": 0.7842, + "step": 11755 + }, + { + "epoch": 0.8, + "learning_rate": 1.0138622979408908e-06, + "loss": 0.8617, + "step": 11756 + }, + { + "epoch": 0.8, + "learning_rate": 1.0131972315454868e-06, + "loss": 0.8604, + "step": 11757 + }, + { + "epoch": 0.8, + "learning_rate": 1.012532358760679e-06, + "loss": 0.5724, + "step": 11758 + }, + { + "epoch": 0.8, + "learning_rate": 1.0118676796187548e-06, + "loss": 0.7611, + "step": 11759 + }, + { + "epoch": 0.8, + "learning_rate": 1.0112031941519934e-06, + "loss": 0.7014, + "step": 11760 + }, + { + "epoch": 0.8, + "learning_rate": 1.0105389023926643e-06, + "loss": 0.6816, + "step": 11761 + }, + { + "epoch": 0.8, + "learning_rate": 1.0098748043730267e-06, + "loss": 0.7479, + "step": 11762 + }, + { + "epoch": 0.8, + "learning_rate": 1.0092109001253314e-06, + "loss": 0.8818, + "step": 11763 + }, + { + "epoch": 0.8, + "learning_rate": 1.00854718968182e-06, + "loss": 0.7404, + "step": 11764 + }, + { + "epoch": 0.8, + "learning_rate": 1.0078836730747232e-06, + "loss": 0.482, + "step": 11765 + }, + { + "epoch": 0.8, + "learning_rate": 1.0072203503362642e-06, + "loss": 0.5642, + "step": 11766 + }, + { + "epoch": 0.8, + "learning_rate": 1.0065572214986557e-06, + "loss": 0.664, + "step": 11767 + }, + { + "epoch": 0.8, + "learning_rate": 1.005894286594102e-06, + "loss": 0.6349, + "step": 11768 + }, + { + "epoch": 0.8, + "learning_rate": 1.0052315456547934e-06, + "loss": 0.7539, + "step": 11769 + }, + { + "epoch": 0.8, + "learning_rate": 1.0045689987129187e-06, + "loss": 0.7811, + "step": 11770 + }, + { + "epoch": 0.8, + "learning_rate": 1.003906645800653e-06, + "loss": 0.5464, + "step": 11771 + }, + { + "epoch": 0.8, + "learning_rate": 1.003244486950158e-06, + "loss": 0.7113, + "step": 11772 + }, + { + "epoch": 0.8, + "learning_rate": 1.0025825221935937e-06, + "loss": 0.7658, + "step": 11773 + }, + { + "epoch": 0.8, + "learning_rate": 1.0019207515631074e-06, + "loss": 0.6991, + "step": 11774 + }, + { + "epoch": 0.8, + "learning_rate": 1.001259175090834e-06, + "loss": 0.7059, + "step": 11775 + }, + { + "epoch": 0.8, + "learning_rate": 1.000597792808901e-06, + "loss": 0.7463, + "step": 11776 + }, + { + "epoch": 0.8, + "learning_rate": 9.999366047494318e-07, + "loss": 0.9076, + "step": 11777 + }, + { + "epoch": 0.8, + "learning_rate": 9.992756109445313e-07, + "loss": 0.7693, + "step": 11778 + }, + { + "epoch": 0.8, + "learning_rate": 9.986148114263e-07, + "loss": 0.5778, + "step": 11779 + }, + { + "epoch": 0.8, + "learning_rate": 9.979542062268288e-07, + "loss": 0.7263, + "step": 11780 + }, + { + "epoch": 0.8, + "learning_rate": 9.972937953781985e-07, + "loss": 0.7003, + "step": 11781 + }, + { + "epoch": 0.8, + "learning_rate": 9.96633578912481e-07, + "loss": 0.6988, + "step": 11782 + }, + { + "epoch": 0.8, + "learning_rate": 9.959735568617373e-07, + "loss": 0.9164, + "step": 11783 + }, + { + "epoch": 0.8, + "learning_rate": 9.953137292580206e-07, + "loss": 0.8072, + "step": 11784 + }, + { + "epoch": 0.8, + "learning_rate": 9.94654096133374e-07, + "loss": 0.5998, + "step": 11785 + }, + { + "epoch": 0.8, + "learning_rate": 9.939946575198312e-07, + "loss": 0.5265, + "step": 11786 + }, + { + "epoch": 0.8, + "learning_rate": 9.933354134494167e-07, + "loss": 0.4938, + "step": 11787 + }, + { + "epoch": 0.8, + "learning_rate": 9.926763639541442e-07, + "loss": 0.5923, + "step": 11788 + }, + { + "epoch": 0.8, + "learning_rate": 9.920175090660206e-07, + "loss": 0.6462, + "step": 11789 + }, + { + "epoch": 0.8, + "learning_rate": 9.913588488170405e-07, + "loss": 0.7108, + "step": 11790 + }, + { + "epoch": 0.8, + "learning_rate": 9.90700383239191e-07, + "loss": 0.3489, + "step": 11791 + }, + { + "epoch": 0.8, + "learning_rate": 9.900421123644483e-07, + "loss": 0.6759, + "step": 11792 + }, + { + "epoch": 0.8, + "learning_rate": 9.893840362247809e-07, + "loss": 0.8833, + "step": 11793 + }, + { + "epoch": 0.8, + "learning_rate": 9.887261548521481e-07, + "loss": 0.6289, + "step": 11794 + }, + { + "epoch": 0.8, + "learning_rate": 9.880684682784935e-07, + "loss": 0.6888, + "step": 11795 + }, + { + "epoch": 0.8, + "learning_rate": 9.874109765357615e-07, + "loss": 0.4849, + "step": 11796 + }, + { + "epoch": 0.8, + "learning_rate": 9.867536796558814e-07, + "loss": 0.9016, + "step": 11797 + }, + { + "epoch": 0.8, + "learning_rate": 9.860965776707694e-07, + "loss": 0.8149, + "step": 11798 + }, + { + "epoch": 0.8, + "learning_rate": 9.85439670612341e-07, + "loss": 0.7969, + "step": 11799 + }, + { + "epoch": 0.8, + "learning_rate": 9.847829585124936e-07, + "loss": 0.6695, + "step": 11800 + }, + { + "epoch": 0.8, + "learning_rate": 9.841264414031198e-07, + "loss": 0.8071, + "step": 11801 + }, + { + "epoch": 0.8, + "learning_rate": 9.834701193161056e-07, + "loss": 0.6766, + "step": 11802 + }, + { + "epoch": 0.8, + "learning_rate": 9.8281399228332e-07, + "loss": 0.8316, + "step": 11803 + }, + { + "epoch": 0.8, + "learning_rate": 9.82158060336626e-07, + "loss": 0.5917, + "step": 11804 + }, + { + "epoch": 0.8, + "learning_rate": 9.81502323507882e-07, + "loss": 0.6922, + "step": 11805 + }, + { + "epoch": 0.8, + "learning_rate": 9.80846781828928e-07, + "loss": 0.9682, + "step": 11806 + }, + { + "epoch": 0.8, + "learning_rate": 9.801914353316006e-07, + "loss": 0.8476, + "step": 11807 + }, + { + "epoch": 0.8, + "learning_rate": 9.795362840477257e-07, + "loss": 0.7928, + "step": 11808 + }, + { + "epoch": 0.8, + "learning_rate": 9.788813280091186e-07, + "loss": 0.5205, + "step": 11809 + }, + { + "epoch": 0.8, + "learning_rate": 9.78226567247586e-07, + "loss": 0.6368, + "step": 11810 + }, + { + "epoch": 0.8, + "learning_rate": 9.775720017949253e-07, + "loss": 0.964, + "step": 11811 + }, + { + "epoch": 0.8, + "learning_rate": 9.769176316829237e-07, + "loss": 0.8043, + "step": 11812 + }, + { + "epoch": 0.8, + "learning_rate": 9.7626345694336e-07, + "loss": 0.9546, + "step": 11813 + }, + { + "epoch": 0.8, + "learning_rate": 9.756094776080017e-07, + "loss": 1.0315, + "step": 11814 + }, + { + "epoch": 0.8, + "learning_rate": 9.749556937086086e-07, + "loss": 0.6695, + "step": 11815 + }, + { + "epoch": 0.8, + "learning_rate": 9.74302105276932e-07, + "loss": 0.654, + "step": 11816 + }, + { + "epoch": 0.8, + "learning_rate": 9.73648712344707e-07, + "loss": 0.8635, + "step": 11817 + }, + { + "epoch": 0.8, + "learning_rate": 9.729955149436693e-07, + "loss": 0.6719, + "step": 11818 + }, + { + "epoch": 0.8, + "learning_rate": 9.723425131055392e-07, + "loss": 0.6678, + "step": 11819 + }, + { + "epoch": 0.8, + "learning_rate": 9.71689706862025e-07, + "loss": 0.4955, + "step": 11820 + }, + { + "epoch": 0.8, + "learning_rate": 9.710370962448323e-07, + "loss": 0.9026, + "step": 11821 + }, + { + "epoch": 0.8, + "learning_rate": 9.703846812856543e-07, + "loss": 0.5092, + "step": 11822 + }, + { + "epoch": 0.8, + "learning_rate": 9.697324620161703e-07, + "loss": 0.789, + "step": 11823 + }, + { + "epoch": 0.8, + "learning_rate": 9.690804384680568e-07, + "loss": 0.6174, + "step": 11824 + }, + { + "epoch": 0.8, + "learning_rate": 9.684286106729784e-07, + "loss": 0.7224, + "step": 11825 + }, + { + "epoch": 0.8, + "learning_rate": 9.677769786625869e-07, + "loss": 0.6414, + "step": 11826 + }, + { + "epoch": 0.8, + "learning_rate": 9.671255424685311e-07, + "loss": 0.6183, + "step": 11827 + }, + { + "epoch": 0.8, + "learning_rate": 9.664743021224438e-07, + "loss": 0.7631, + "step": 11828 + }, + { + "epoch": 0.8, + "learning_rate": 9.6582325765595e-07, + "loss": 0.7915, + "step": 11829 + }, + { + "epoch": 0.8, + "learning_rate": 9.651724091006714e-07, + "loss": 0.8765, + "step": 11830 + }, + { + "epoch": 0.8, + "learning_rate": 9.64521756488211e-07, + "loss": 0.8307, + "step": 11831 + }, + { + "epoch": 0.81, + "learning_rate": 9.638712998501665e-07, + "loss": 0.7259, + "step": 11832 + }, + { + "epoch": 0.81, + "learning_rate": 9.632210392181274e-07, + "loss": 0.8911, + "step": 11833 + }, + { + "epoch": 0.81, + "learning_rate": 9.62570974623671e-07, + "loss": 0.6438, + "step": 11834 + }, + { + "epoch": 0.81, + "learning_rate": 9.619211060983674e-07, + "loss": 0.871, + "step": 11835 + }, + { + "epoch": 0.81, + "learning_rate": 9.61271433673775e-07, + "loss": 0.7349, + "step": 11836 + }, + { + "epoch": 0.81, + "learning_rate": 9.606219573814447e-07, + "loss": 0.794, + "step": 11837 + }, + { + "epoch": 0.81, + "learning_rate": 9.599726772529166e-07, + "loss": 0.7812, + "step": 11838 + }, + { + "epoch": 0.81, + "learning_rate": 9.593235933197215e-07, + "loss": 0.3223, + "step": 11839 + }, + { + "epoch": 0.81, + "learning_rate": 9.586747056133805e-07, + "loss": 0.6927, + "step": 11840 + }, + { + "epoch": 0.81, + "learning_rate": 9.580260141654057e-07, + "loss": 0.8274, + "step": 11841 + }, + { + "epoch": 0.81, + "learning_rate": 9.573775190073004e-07, + "loss": 0.7047, + "step": 11842 + }, + { + "epoch": 0.81, + "learning_rate": 9.567292201705558e-07, + "loss": 0.6582, + "step": 11843 + }, + { + "epoch": 0.81, + "learning_rate": 9.560811176866568e-07, + "loss": 0.8487, + "step": 11844 + }, + { + "epoch": 0.81, + "learning_rate": 9.554332115870746e-07, + "loss": 0.7222, + "step": 11845 + }, + { + "epoch": 0.81, + "learning_rate": 9.547855019032753e-07, + "loss": 0.7849, + "step": 11846 + }, + { + "epoch": 0.81, + "learning_rate": 9.541379886667151e-07, + "loss": 0.6171, + "step": 11847 + }, + { + "epoch": 0.81, + "learning_rate": 9.534906719088355e-07, + "loss": 0.6544, + "step": 11848 + }, + { + "epoch": 0.81, + "learning_rate": 9.528435516610729e-07, + "loss": 0.7275, + "step": 11849 + }, + { + "epoch": 0.81, + "learning_rate": 9.521966279548567e-07, + "loss": 0.926, + "step": 11850 + }, + { + "epoch": 0.81, + "learning_rate": 9.51549900821599e-07, + "loss": 1.0013, + "step": 11851 + }, + { + "epoch": 0.81, + "learning_rate": 9.509033702927078e-07, + "loss": 0.6694, + "step": 11852 + }, + { + "epoch": 0.81, + "learning_rate": 9.502570363995839e-07, + "loss": 0.4605, + "step": 11853 + }, + { + "epoch": 0.81, + "learning_rate": 9.496108991736109e-07, + "loss": 0.5126, + "step": 11854 + }, + { + "epoch": 0.81, + "learning_rate": 9.489649586461686e-07, + "loss": 1.0221, + "step": 11855 + }, + { + "epoch": 0.81, + "learning_rate": 9.483192148486259e-07, + "loss": 0.817, + "step": 11856 + }, + { + "epoch": 0.81, + "learning_rate": 9.476736678123421e-07, + "loss": 0.8164, + "step": 11857 + }, + { + "epoch": 0.81, + "learning_rate": 9.470283175686662e-07, + "loss": 0.8908, + "step": 11858 + }, + { + "epoch": 0.81, + "learning_rate": 9.463831641489391e-07, + "loss": 0.8571, + "step": 11859 + }, + { + "epoch": 0.81, + "learning_rate": 9.457382075844906e-07, + "loss": 0.8075, + "step": 11860 + }, + { + "epoch": 0.81, + "learning_rate": 9.450934479066421e-07, + "loss": 0.7741, + "step": 11861 + }, + { + "epoch": 0.81, + "learning_rate": 9.444488851467043e-07, + "loss": 0.91, + "step": 11862 + }, + { + "epoch": 0.81, + "learning_rate": 9.438045193359796e-07, + "loss": 0.7649, + "step": 11863 + }, + { + "epoch": 0.81, + "learning_rate": 9.431603505057607e-07, + "loss": 0.679, + "step": 11864 + }, + { + "epoch": 0.81, + "learning_rate": 9.425163786873292e-07, + "loss": 0.5501, + "step": 11865 + }, + { + "epoch": 0.81, + "learning_rate": 9.418726039119592e-07, + "loss": 0.906, + "step": 11866 + }, + { + "epoch": 0.81, + "learning_rate": 9.412290262109147e-07, + "loss": 0.8626, + "step": 11867 + }, + { + "epoch": 0.81, + "learning_rate": 9.405856456154466e-07, + "loss": 0.6524, + "step": 11868 + }, + { + "epoch": 0.81, + "learning_rate": 9.399424621568026e-07, + "loss": 0.6916, + "step": 11869 + }, + { + "epoch": 0.81, + "learning_rate": 9.392994758662178e-07, + "loss": 0.8763, + "step": 11870 + }, + { + "epoch": 0.81, + "learning_rate": 9.386566867749131e-07, + "loss": 0.5948, + "step": 11871 + }, + { + "epoch": 0.81, + "learning_rate": 9.380140949141087e-07, + "loss": 0.8826, + "step": 11872 + }, + { + "epoch": 0.81, + "learning_rate": 9.373717003150107e-07, + "loss": 0.6247, + "step": 11873 + }, + { + "epoch": 0.81, + "learning_rate": 9.367295030088114e-07, + "loss": 0.699, + "step": 11874 + }, + { + "epoch": 0.81, + "learning_rate": 9.36087503026703e-07, + "loss": 0.6683, + "step": 11875 + }, + { + "epoch": 0.81, + "learning_rate": 9.35445700399859e-07, + "loss": 0.6039, + "step": 11876 + }, + { + "epoch": 0.81, + "learning_rate": 9.348040951594478e-07, + "loss": 0.8505, + "step": 11877 + }, + { + "epoch": 0.81, + "learning_rate": 9.341626873366305e-07, + "loss": 0.7652, + "step": 11878 + }, + { + "epoch": 0.81, + "learning_rate": 9.335214769625523e-07, + "loss": 0.458, + "step": 11879 + }, + { + "epoch": 0.81, + "learning_rate": 9.32880464068352e-07, + "loss": 0.6989, + "step": 11880 + }, + { + "epoch": 0.81, + "learning_rate": 9.322396486851626e-07, + "loss": 0.887, + "step": 11881 + }, + { + "epoch": 0.81, + "learning_rate": 9.315990308441015e-07, + "loss": 0.6649, + "step": 11882 + }, + { + "epoch": 0.81, + "learning_rate": 9.309586105762786e-07, + "loss": 0.5177, + "step": 11883 + }, + { + "epoch": 0.81, + "learning_rate": 9.303183879127953e-07, + "loss": 1.0257, + "step": 11884 + }, + { + "epoch": 0.81, + "learning_rate": 9.296783628847423e-07, + "loss": 0.696, + "step": 11885 + }, + { + "epoch": 0.81, + "learning_rate": 9.290385355232018e-07, + "loss": 0.7542, + "step": 11886 + }, + { + "epoch": 0.81, + "learning_rate": 9.283989058592446e-07, + "loss": 0.3834, + "step": 11887 + }, + { + "epoch": 0.81, + "learning_rate": 9.277594739239337e-07, + "loss": 0.7832, + "step": 11888 + }, + { + "epoch": 0.81, + "learning_rate": 9.271202397483214e-07, + "loss": 0.8105, + "step": 11889 + }, + { + "epoch": 0.81, + "learning_rate": 9.264812033634513e-07, + "loss": 0.8617, + "step": 11890 + }, + { + "epoch": 0.81, + "learning_rate": 9.258423648003562e-07, + "loss": 0.6049, + "step": 11891 + }, + { + "epoch": 0.81, + "learning_rate": 9.252037240900618e-07, + "loss": 0.8077, + "step": 11892 + }, + { + "epoch": 0.81, + "learning_rate": 9.245652812635774e-07, + "loss": 0.5437, + "step": 11893 + }, + { + "epoch": 0.81, + "learning_rate": 9.239270363519132e-07, + "loss": 0.5947, + "step": 11894 + }, + { + "epoch": 0.81, + "learning_rate": 9.232889893860625e-07, + "loss": 0.6882, + "step": 11895 + }, + { + "epoch": 0.81, + "learning_rate": 9.226511403970079e-07, + "loss": 0.7185, + "step": 11896 + }, + { + "epoch": 0.81, + "learning_rate": 9.220134894157285e-07, + "loss": 0.6731, + "step": 11897 + }, + { + "epoch": 0.81, + "learning_rate": 9.213760364731905e-07, + "loss": 0.6381, + "step": 11898 + }, + { + "epoch": 0.81, + "learning_rate": 9.207387816003471e-07, + "loss": 0.7668, + "step": 11899 + }, + { + "epoch": 0.81, + "learning_rate": 9.201017248281486e-07, + "loss": 0.8564, + "step": 11900 + }, + { + "epoch": 0.81, + "learning_rate": 9.194648661875322e-07, + "loss": 0.5998, + "step": 11901 + }, + { + "epoch": 0.81, + "learning_rate": 9.188282057094222e-07, + "loss": 0.9404, + "step": 11902 + }, + { + "epoch": 0.81, + "learning_rate": 9.181917434247417e-07, + "loss": 0.7187, + "step": 11903 + }, + { + "epoch": 0.81, + "learning_rate": 9.175554793643948e-07, + "loss": 0.6257, + "step": 11904 + }, + { + "epoch": 0.81, + "learning_rate": 9.169194135592824e-07, + "loss": 0.719, + "step": 11905 + }, + { + "epoch": 0.81, + "learning_rate": 9.162835460402925e-07, + "loss": 0.6864, + "step": 11906 + }, + { + "epoch": 0.81, + "learning_rate": 9.15647876838306e-07, + "loss": 0.8806, + "step": 11907 + }, + { + "epoch": 0.81, + "learning_rate": 9.15012405984192e-07, + "loss": 0.6113, + "step": 11908 + }, + { + "epoch": 0.81, + "learning_rate": 9.143771335088108e-07, + "loss": 0.4963, + "step": 11909 + }, + { + "epoch": 0.81, + "learning_rate": 9.137420594430135e-07, + "loss": 0.5458, + "step": 11910 + }, + { + "epoch": 0.81, + "learning_rate": 9.131071838176409e-07, + "loss": 0.8649, + "step": 11911 + }, + { + "epoch": 0.81, + "learning_rate": 9.124725066635243e-07, + "loss": 0.5846, + "step": 11912 + }, + { + "epoch": 0.81, + "learning_rate": 9.118380280114858e-07, + "loss": 0.4873, + "step": 11913 + }, + { + "epoch": 0.81, + "learning_rate": 9.112037478923364e-07, + "loss": 1.0124, + "step": 11914 + }, + { + "epoch": 0.81, + "learning_rate": 9.105696663368801e-07, + "loss": 0.827, + "step": 11915 + }, + { + "epoch": 0.81, + "learning_rate": 9.099357833759087e-07, + "loss": 0.6182, + "step": 11916 + }, + { + "epoch": 0.81, + "learning_rate": 9.093020990402057e-07, + "loss": 0.9509, + "step": 11917 + }, + { + "epoch": 0.81, + "learning_rate": 9.086686133605449e-07, + "loss": 0.5919, + "step": 11918 + }, + { + "epoch": 0.81, + "learning_rate": 9.080353263676894e-07, + "loss": 0.4775, + "step": 11919 + }, + { + "epoch": 0.81, + "learning_rate": 9.074022380923953e-07, + "loss": 0.8625, + "step": 11920 + }, + { + "epoch": 0.81, + "learning_rate": 9.067693485654033e-07, + "loss": 0.6754, + "step": 11921 + }, + { + "epoch": 0.81, + "learning_rate": 9.061366578174524e-07, + "loss": 0.5633, + "step": 11922 + }, + { + "epoch": 0.81, + "learning_rate": 9.055041658792673e-07, + "loss": 0.6656, + "step": 11923 + }, + { + "epoch": 0.81, + "learning_rate": 9.048718727815614e-07, + "loss": 0.5275, + "step": 11924 + }, + { + "epoch": 0.81, + "learning_rate": 9.042397785550405e-07, + "loss": 0.6579, + "step": 11925 + }, + { + "epoch": 0.81, + "learning_rate": 9.036078832304052e-07, + "loss": 0.8804, + "step": 11926 + }, + { + "epoch": 0.81, + "learning_rate": 9.02976186838338e-07, + "loss": 0.8157, + "step": 11927 + }, + { + "epoch": 0.81, + "learning_rate": 9.023446894095156e-07, + "loss": 0.7104, + "step": 11928 + }, + { + "epoch": 0.81, + "learning_rate": 9.017133909746095e-07, + "loss": 0.8827, + "step": 11929 + }, + { + "epoch": 0.81, + "learning_rate": 9.010822915642736e-07, + "loss": 0.5616, + "step": 11930 + }, + { + "epoch": 0.81, + "learning_rate": 9.004513912091573e-07, + "loss": 0.7604, + "step": 11931 + }, + { + "epoch": 0.81, + "learning_rate": 8.998206899398987e-07, + "loss": 0.7796, + "step": 11932 + }, + { + "epoch": 0.81, + "learning_rate": 8.991901877871262e-07, + "loss": 0.7521, + "step": 11933 + }, + { + "epoch": 0.81, + "learning_rate": 8.985598847814592e-07, + "loss": 0.6275, + "step": 11934 + }, + { + "epoch": 0.81, + "learning_rate": 8.979297809535065e-07, + "loss": 0.903, + "step": 11935 + }, + { + "epoch": 0.81, + "learning_rate": 8.972998763338686e-07, + "loss": 0.4839, + "step": 11936 + }, + { + "epoch": 0.81, + "learning_rate": 8.966701709531344e-07, + "loss": 0.6368, + "step": 11937 + }, + { + "epoch": 0.81, + "learning_rate": 8.960406648418856e-07, + "loss": 0.9301, + "step": 11938 + }, + { + "epoch": 0.81, + "learning_rate": 8.954113580306917e-07, + "loss": 0.575, + "step": 11939 + }, + { + "epoch": 0.81, + "learning_rate": 8.947822505501141e-07, + "loss": 0.9114, + "step": 11940 + }, + { + "epoch": 0.81, + "learning_rate": 8.941533424307037e-07, + "loss": 0.7585, + "step": 11941 + }, + { + "epoch": 0.81, + "learning_rate": 8.935246337030024e-07, + "loss": 0.7516, + "step": 11942 + }, + { + "epoch": 0.81, + "learning_rate": 8.928961243975437e-07, + "loss": 0.6702, + "step": 11943 + }, + { + "epoch": 0.81, + "learning_rate": 8.922678145448449e-07, + "loss": 0.8151, + "step": 11944 + }, + { + "epoch": 0.81, + "learning_rate": 8.916397041754238e-07, + "loss": 0.6488, + "step": 11945 + }, + { + "epoch": 0.81, + "learning_rate": 8.910117933197821e-07, + "loss": 0.7165, + "step": 11946 + }, + { + "epoch": 0.81, + "learning_rate": 8.903840820084097e-07, + "loss": 0.827, + "step": 11947 + }, + { + "epoch": 0.81, + "learning_rate": 8.897565702717936e-07, + "loss": 0.6422, + "step": 11948 + }, + { + "epoch": 0.81, + "learning_rate": 8.891292581404076e-07, + "loss": 0.7588, + "step": 11949 + }, + { + "epoch": 0.81, + "learning_rate": 8.885021456447123e-07, + "loss": 0.6591, + "step": 11950 + }, + { + "epoch": 0.81, + "learning_rate": 8.878752328151669e-07, + "loss": 0.7403, + "step": 11951 + }, + { + "epoch": 0.81, + "learning_rate": 8.872485196822123e-07, + "loss": 0.8411, + "step": 11952 + }, + { + "epoch": 0.81, + "learning_rate": 8.866220062762837e-07, + "loss": 0.6502, + "step": 11953 + }, + { + "epoch": 0.81, + "learning_rate": 8.859956926278096e-07, + "loss": 0.6533, + "step": 11954 + }, + { + "epoch": 0.81, + "learning_rate": 8.853695787672023e-07, + "loss": 0.7835, + "step": 11955 + }, + { + "epoch": 0.81, + "learning_rate": 8.847436647248681e-07, + "loss": 0.7813, + "step": 11956 + }, + { + "epoch": 0.81, + "learning_rate": 8.841179505312058e-07, + "loss": 0.8923, + "step": 11957 + }, + { + "epoch": 0.81, + "learning_rate": 8.834924362165992e-07, + "loss": 0.5604, + "step": 11958 + }, + { + "epoch": 0.81, + "learning_rate": 8.828671218114254e-07, + "loss": 0.7802, + "step": 11959 + }, + { + "epoch": 0.81, + "learning_rate": 8.822420073460519e-07, + "loss": 0.5943, + "step": 11960 + }, + { + "epoch": 0.81, + "learning_rate": 8.816170928508367e-07, + "loss": 0.5649, + "step": 11961 + }, + { + "epoch": 0.81, + "learning_rate": 8.809923783561264e-07, + "loss": 0.6905, + "step": 11962 + }, + { + "epoch": 0.81, + "learning_rate": 8.803678638922592e-07, + "loss": 0.5251, + "step": 11963 + }, + { + "epoch": 0.81, + "learning_rate": 8.79743549489564e-07, + "loss": 0.6251, + "step": 11964 + }, + { + "epoch": 0.81, + "learning_rate": 8.791194351783583e-07, + "loss": 0.7097, + "step": 11965 + }, + { + "epoch": 0.81, + "learning_rate": 8.784955209889517e-07, + "loss": 0.5044, + "step": 11966 + }, + { + "epoch": 0.81, + "learning_rate": 8.778718069516429e-07, + "loss": 0.6524, + "step": 11967 + }, + { + "epoch": 0.81, + "learning_rate": 8.772482930967225e-07, + "loss": 0.5278, + "step": 11968 + }, + { + "epoch": 0.81, + "learning_rate": 8.766249794544662e-07, + "loss": 0.666, + "step": 11969 + }, + { + "epoch": 0.81, + "learning_rate": 8.760018660551484e-07, + "loss": 0.4962, + "step": 11970 + }, + { + "epoch": 0.81, + "learning_rate": 8.75378952929028e-07, + "loss": 0.645, + "step": 11971 + }, + { + "epoch": 0.81, + "learning_rate": 8.747562401063531e-07, + "loss": 1.0158, + "step": 11972 + }, + { + "epoch": 0.81, + "learning_rate": 8.741337276173667e-07, + "loss": 0.6721, + "step": 11973 + }, + { + "epoch": 0.81, + "learning_rate": 8.735114154923014e-07, + "loss": 0.6912, + "step": 11974 + }, + { + "epoch": 0.81, + "learning_rate": 8.728893037613733e-07, + "loss": 0.8305, + "step": 11975 + }, + { + "epoch": 0.81, + "learning_rate": 8.722673924547986e-07, + "loss": 0.8777, + "step": 11976 + }, + { + "epoch": 0.81, + "learning_rate": 8.716456816027791e-07, + "loss": 0.835, + "step": 11977 + }, + { + "epoch": 0.81, + "learning_rate": 8.710241712355039e-07, + "loss": 0.913, + "step": 11978 + }, + { + "epoch": 0.82, + "learning_rate": 8.704028613831561e-07, + "loss": 0.8089, + "step": 11979 + }, + { + "epoch": 0.82, + "learning_rate": 8.697817520759094e-07, + "loss": 0.4665, + "step": 11980 + }, + { + "epoch": 0.82, + "learning_rate": 8.691608433439263e-07, + "loss": 0.6003, + "step": 11981 + }, + { + "epoch": 0.82, + "learning_rate": 8.6854013521736e-07, + "loss": 0.5939, + "step": 11982 + }, + { + "epoch": 0.82, + "learning_rate": 8.679196277263535e-07, + "loss": 0.6428, + "step": 11983 + }, + { + "epoch": 0.82, + "learning_rate": 8.6729932090104e-07, + "loss": 0.9591, + "step": 11984 + }, + { + "epoch": 0.82, + "learning_rate": 8.666792147715447e-07, + "loss": 0.7134, + "step": 11985 + }, + { + "epoch": 0.82, + "learning_rate": 8.660593093679809e-07, + "loss": 0.9705, + "step": 11986 + }, + { + "epoch": 0.82, + "learning_rate": 8.654396047204528e-07, + "loss": 0.7988, + "step": 11987 + }, + { + "epoch": 0.82, + "learning_rate": 8.648201008590557e-07, + "loss": 0.8136, + "step": 11988 + }, + { + "epoch": 0.82, + "learning_rate": 8.642007978138739e-07, + "loss": 0.7742, + "step": 11989 + }, + { + "epoch": 0.82, + "learning_rate": 8.635816956149823e-07, + "loss": 0.8324, + "step": 11990 + }, + { + "epoch": 0.82, + "learning_rate": 8.629627942924473e-07, + "loss": 0.9791, + "step": 11991 + }, + { + "epoch": 0.82, + "learning_rate": 8.623440938763239e-07, + "loss": 0.8579, + "step": 11992 + }, + { + "epoch": 0.82, + "learning_rate": 8.617255943966579e-07, + "loss": 0.9672, + "step": 11993 + }, + { + "epoch": 0.82, + "learning_rate": 8.61107295883486e-07, + "loss": 0.6273, + "step": 11994 + }, + { + "epoch": 0.82, + "learning_rate": 8.604891983668334e-07, + "loss": 0.6728, + "step": 11995 + }, + { + "epoch": 0.82, + "learning_rate": 8.598713018767191e-07, + "loss": 0.9142, + "step": 11996 + }, + { + "epoch": 0.82, + "learning_rate": 8.592536064431467e-07, + "loss": 0.6312, + "step": 11997 + }, + { + "epoch": 0.82, + "learning_rate": 8.586361120961139e-07, + "loss": 0.772, + "step": 11998 + }, + { + "epoch": 0.82, + "learning_rate": 8.580188188656113e-07, + "loss": 0.7753, + "step": 11999 + }, + { + "epoch": 0.82, + "learning_rate": 8.574017267816126e-07, + "loss": 0.9119, + "step": 12000 + }, + { + "epoch": 0.82, + "learning_rate": 8.567848358740854e-07, + "loss": 0.6134, + "step": 12001 + }, + { + "epoch": 0.82, + "learning_rate": 8.561681461729926e-07, + "loss": 0.6809, + "step": 12002 + }, + { + "epoch": 0.82, + "learning_rate": 8.555516577082773e-07, + "loss": 0.7264, + "step": 12003 + }, + { + "epoch": 0.82, + "learning_rate": 8.549353705098784e-07, + "loss": 0.7097, + "step": 12004 + }, + { + "epoch": 0.82, + "learning_rate": 8.543192846077287e-07, + "loss": 0.5635, + "step": 12005 + }, + { + "epoch": 0.82, + "learning_rate": 8.537034000317429e-07, + "loss": 0.7063, + "step": 12006 + }, + { + "epoch": 0.82, + "learning_rate": 8.530877168118318e-07, + "loss": 0.7512, + "step": 12007 + }, + { + "epoch": 0.82, + "learning_rate": 8.524722349778941e-07, + "loss": 0.6784, + "step": 12008 + }, + { + "epoch": 0.82, + "learning_rate": 8.518569545598198e-07, + "loss": 0.7788, + "step": 12009 + }, + { + "epoch": 0.82, + "learning_rate": 8.512418755874891e-07, + "loss": 0.9347, + "step": 12010 + }, + { + "epoch": 0.82, + "learning_rate": 8.506269980907711e-07, + "loss": 0.8076, + "step": 12011 + }, + { + "epoch": 0.82, + "learning_rate": 8.500123220995271e-07, + "loss": 0.6951, + "step": 12012 + }, + { + "epoch": 0.82, + "learning_rate": 8.49397847643606e-07, + "loss": 0.7166, + "step": 12013 + }, + { + "epoch": 0.82, + "learning_rate": 8.4878357475285e-07, + "loss": 0.7167, + "step": 12014 + }, + { + "epoch": 0.82, + "learning_rate": 8.481695034570892e-07, + "loss": 0.7448, + "step": 12015 + }, + { + "epoch": 0.82, + "learning_rate": 8.475556337861457e-07, + "loss": 0.6811, + "step": 12016 + }, + { + "epoch": 0.82, + "learning_rate": 8.469419657698274e-07, + "loss": 0.8236, + "step": 12017 + }, + { + "epoch": 0.82, + "learning_rate": 8.463284994379401e-07, + "loss": 0.9689, + "step": 12018 + }, + { + "epoch": 0.82, + "learning_rate": 8.457152348202741e-07, + "loss": 0.8203, + "step": 12019 + }, + { + "epoch": 0.82, + "learning_rate": 8.451021719466085e-07, + "loss": 0.683, + "step": 12020 + }, + { + "epoch": 0.82, + "learning_rate": 8.444893108467194e-07, + "loss": 0.7734, + "step": 12021 + }, + { + "epoch": 0.82, + "learning_rate": 8.438766515503682e-07, + "loss": 0.7586, + "step": 12022 + }, + { + "epoch": 0.82, + "learning_rate": 8.432641940873043e-07, + "loss": 0.8725, + "step": 12023 + }, + { + "epoch": 0.82, + "learning_rate": 8.426519384872733e-07, + "loss": 0.6568, + "step": 12024 + }, + { + "epoch": 0.82, + "learning_rate": 8.420398847800093e-07, + "loss": 0.577, + "step": 12025 + }, + { + "epoch": 0.82, + "learning_rate": 8.414280329952313e-07, + "loss": 0.7227, + "step": 12026 + }, + { + "epoch": 0.82, + "learning_rate": 8.40816383162657e-07, + "loss": 0.7697, + "step": 12027 + }, + { + "epoch": 0.82, + "learning_rate": 8.402049353119862e-07, + "loss": 0.402, + "step": 12028 + }, + { + "epoch": 0.82, + "learning_rate": 8.395936894729134e-07, + "loss": 0.5712, + "step": 12029 + }, + { + "epoch": 0.82, + "learning_rate": 8.389826456751249e-07, + "loss": 0.6658, + "step": 12030 + }, + { + "epoch": 0.82, + "learning_rate": 8.383718039482924e-07, + "loss": 0.7634, + "step": 12031 + }, + { + "epoch": 0.82, + "learning_rate": 8.37761164322079e-07, + "loss": 0.8971, + "step": 12032 + }, + { + "epoch": 0.82, + "learning_rate": 8.371507268261436e-07, + "loss": 0.7571, + "step": 12033 + }, + { + "epoch": 0.82, + "learning_rate": 8.36540491490127e-07, + "loss": 0.6523, + "step": 12034 + }, + { + "epoch": 0.82, + "learning_rate": 8.359304583436645e-07, + "loss": 0.8514, + "step": 12035 + }, + { + "epoch": 0.82, + "learning_rate": 8.353206274163816e-07, + "loss": 0.6888, + "step": 12036 + }, + { + "epoch": 0.82, + "learning_rate": 8.347109987378937e-07, + "loss": 0.9206, + "step": 12037 + }, + { + "epoch": 0.82, + "learning_rate": 8.341015723378054e-07, + "loss": 0.5093, + "step": 12038 + }, + { + "epoch": 0.82, + "learning_rate": 8.334923482457131e-07, + "loss": 0.6904, + "step": 12039 + }, + { + "epoch": 0.82, + "learning_rate": 8.328833264912018e-07, + "loss": 0.9246, + "step": 12040 + }, + { + "epoch": 0.82, + "learning_rate": 8.322745071038474e-07, + "loss": 0.8506, + "step": 12041 + }, + { + "epoch": 0.82, + "learning_rate": 8.316658901132163e-07, + "loss": 0.9395, + "step": 12042 + }, + { + "epoch": 0.82, + "learning_rate": 8.310574755488643e-07, + "loss": 0.5725, + "step": 12043 + }, + { + "epoch": 0.82, + "learning_rate": 8.304492634403389e-07, + "loss": 0.5128, + "step": 12044 + }, + { + "epoch": 0.82, + "learning_rate": 8.298412538171735e-07, + "loss": 0.7767, + "step": 12045 + }, + { + "epoch": 0.82, + "learning_rate": 8.292334467088981e-07, + "loss": 0.7309, + "step": 12046 + }, + { + "epoch": 0.82, + "learning_rate": 8.286258421450294e-07, + "loss": 0.6594, + "step": 12047 + }, + { + "epoch": 0.82, + "learning_rate": 8.280184401550711e-07, + "loss": 0.8562, + "step": 12048 + }, + { + "epoch": 0.82, + "learning_rate": 8.274112407685242e-07, + "loss": 0.7371, + "step": 12049 + }, + { + "epoch": 0.82, + "learning_rate": 8.268042440148755e-07, + "loss": 0.7899, + "step": 12050 + }, + { + "epoch": 0.82, + "learning_rate": 8.261974499235987e-07, + "loss": 0.677, + "step": 12051 + }, + { + "epoch": 0.82, + "learning_rate": 8.255908585241662e-07, + "loss": 0.6191, + "step": 12052 + }, + { + "epoch": 0.82, + "learning_rate": 8.249844698460346e-07, + "loss": 0.2995, + "step": 12053 + }, + { + "epoch": 0.82, + "learning_rate": 8.243782839186504e-07, + "loss": 0.9628, + "step": 12054 + }, + { + "epoch": 0.82, + "learning_rate": 8.23772300771452e-07, + "loss": 0.5509, + "step": 12055 + }, + { + "epoch": 0.82, + "learning_rate": 8.23166520433869e-07, + "loss": 0.8546, + "step": 12056 + }, + { + "epoch": 0.82, + "learning_rate": 8.225609429353187e-07, + "loss": 0.7441, + "step": 12057 + }, + { + "epoch": 0.82, + "learning_rate": 8.219555683052099e-07, + "loss": 0.7936, + "step": 12058 + }, + { + "epoch": 0.82, + "learning_rate": 8.213503965729414e-07, + "loss": 0.7708, + "step": 12059 + }, + { + "epoch": 0.82, + "learning_rate": 8.207454277679023e-07, + "loss": 0.7088, + "step": 12060 + }, + { + "epoch": 0.82, + "learning_rate": 8.201406619194713e-07, + "loss": 0.8475, + "step": 12061 + }, + { + "epoch": 0.82, + "learning_rate": 8.195360990570178e-07, + "loss": 0.7083, + "step": 12062 + }, + { + "epoch": 0.82, + "learning_rate": 8.189317392099011e-07, + "loss": 0.6773, + "step": 12063 + }, + { + "epoch": 0.82, + "learning_rate": 8.18327582407471e-07, + "loss": 0.8645, + "step": 12064 + }, + { + "epoch": 0.82, + "learning_rate": 8.177236286790663e-07, + "loss": 0.944, + "step": 12065 + }, + { + "epoch": 0.82, + "learning_rate": 8.171198780540169e-07, + "loss": 0.8741, + "step": 12066 + }, + { + "epoch": 0.82, + "learning_rate": 8.165163305616431e-07, + "loss": 0.6192, + "step": 12067 + }, + { + "epoch": 0.82, + "learning_rate": 8.159129862312548e-07, + "loss": 0.4915, + "step": 12068 + }, + { + "epoch": 0.82, + "learning_rate": 8.153098450921514e-07, + "loss": 0.8136, + "step": 12069 + }, + { + "epoch": 0.82, + "learning_rate": 8.147069071736247e-07, + "loss": 0.5969, + "step": 12070 + }, + { + "epoch": 0.82, + "learning_rate": 8.141041725049537e-07, + "loss": 0.8085, + "step": 12071 + }, + { + "epoch": 0.82, + "learning_rate": 8.135016411154106e-07, + "loss": 0.7434, + "step": 12072 + }, + { + "epoch": 0.82, + "learning_rate": 8.128993130342538e-07, + "loss": 0.6513, + "step": 12073 + }, + { + "epoch": 0.82, + "learning_rate": 8.122971882907338e-07, + "loss": 0.9054, + "step": 12074 + }, + { + "epoch": 0.82, + "learning_rate": 8.116952669140949e-07, + "loss": 0.5717, + "step": 12075 + }, + { + "epoch": 0.82, + "learning_rate": 8.110935489335652e-07, + "loss": 0.6589, + "step": 12076 + }, + { + "epoch": 0.82, + "learning_rate": 8.104920343783656e-07, + "loss": 0.451, + "step": 12077 + }, + { + "epoch": 0.82, + "learning_rate": 8.098907232777109e-07, + "loss": 0.729, + "step": 12078 + }, + { + "epoch": 0.82, + "learning_rate": 8.092896156607988e-07, + "loss": 0.8224, + "step": 12079 + }, + { + "epoch": 0.82, + "learning_rate": 8.086887115568209e-07, + "loss": 0.7113, + "step": 12080 + }, + { + "epoch": 0.82, + "learning_rate": 8.08088010994963e-07, + "loss": 0.5906, + "step": 12081 + }, + { + "epoch": 0.82, + "learning_rate": 8.07487514004392e-07, + "loss": 0.8195, + "step": 12082 + }, + { + "epoch": 0.82, + "learning_rate": 8.06887220614272e-07, + "loss": 1.0488, + "step": 12083 + }, + { + "epoch": 0.82, + "learning_rate": 8.062871308537545e-07, + "loss": 0.7511, + "step": 12084 + }, + { + "epoch": 0.82, + "learning_rate": 8.056872447519814e-07, + "loss": 0.8556, + "step": 12085 + }, + { + "epoch": 0.82, + "learning_rate": 8.050875623380855e-07, + "loss": 0.5886, + "step": 12086 + }, + { + "epoch": 0.82, + "learning_rate": 8.044880836411889e-07, + "loss": 0.5614, + "step": 12087 + }, + { + "epoch": 0.82, + "learning_rate": 8.038888086904034e-07, + "loss": 0.436, + "step": 12088 + }, + { + "epoch": 0.82, + "learning_rate": 8.032897375148324e-07, + "loss": 0.6254, + "step": 12089 + }, + { + "epoch": 0.82, + "learning_rate": 8.026908701435681e-07, + "loss": 0.8372, + "step": 12090 + }, + { + "epoch": 0.82, + "learning_rate": 8.020922066056936e-07, + "loss": 0.5227, + "step": 12091 + }, + { + "epoch": 0.82, + "learning_rate": 8.014937469302819e-07, + "loss": 0.6008, + "step": 12092 + }, + { + "epoch": 0.82, + "learning_rate": 8.008954911463934e-07, + "loss": 0.8782, + "step": 12093 + }, + { + "epoch": 0.82, + "learning_rate": 8.002974392830842e-07, + "loss": 0.7562, + "step": 12094 + }, + { + "epoch": 0.82, + "learning_rate": 7.996995913693978e-07, + "loss": 0.6386, + "step": 12095 + }, + { + "epoch": 0.82, + "learning_rate": 7.991019474343631e-07, + "loss": 0.6293, + "step": 12096 + }, + { + "epoch": 0.82, + "learning_rate": 7.98504507507008e-07, + "loss": 0.5677, + "step": 12097 + }, + { + "epoch": 0.82, + "learning_rate": 7.979072716163449e-07, + "loss": 0.907, + "step": 12098 + }, + { + "epoch": 0.82, + "learning_rate": 7.97310239791374e-07, + "loss": 0.903, + "step": 12099 + }, + { + "epoch": 0.82, + "learning_rate": 7.967134120610942e-07, + "loss": 0.9063, + "step": 12100 + }, + { + "epoch": 0.82, + "learning_rate": 7.961167884544852e-07, + "loss": 0.5714, + "step": 12101 + }, + { + "epoch": 0.82, + "learning_rate": 7.955203690005203e-07, + "loss": 0.8594, + "step": 12102 + }, + { + "epoch": 0.82, + "learning_rate": 7.949241537281677e-07, + "loss": 0.7166, + "step": 12103 + }, + { + "epoch": 0.82, + "learning_rate": 7.943281426663774e-07, + "loss": 0.6341, + "step": 12104 + }, + { + "epoch": 0.82, + "learning_rate": 7.937323358440935e-07, + "loss": 0.7318, + "step": 12105 + }, + { + "epoch": 0.82, + "learning_rate": 7.931367332902534e-07, + "loss": 0.7907, + "step": 12106 + }, + { + "epoch": 0.82, + "learning_rate": 7.925413350337785e-07, + "loss": 0.6977, + "step": 12107 + }, + { + "epoch": 0.82, + "learning_rate": 7.919461411035828e-07, + "loss": 0.6724, + "step": 12108 + }, + { + "epoch": 0.82, + "learning_rate": 7.913511515285722e-07, + "loss": 0.6801, + "step": 12109 + }, + { + "epoch": 0.82, + "learning_rate": 7.9075636633764e-07, + "loss": 0.6208, + "step": 12110 + }, + { + "epoch": 0.82, + "learning_rate": 7.901617855596705e-07, + "loss": 0.8715, + "step": 12111 + }, + { + "epoch": 0.82, + "learning_rate": 7.895674092235395e-07, + "loss": 0.7348, + "step": 12112 + }, + { + "epoch": 0.82, + "learning_rate": 7.88973237358111e-07, + "loss": 0.8196, + "step": 12113 + }, + { + "epoch": 0.82, + "learning_rate": 7.883792699922394e-07, + "loss": 0.7989, + "step": 12114 + }, + { + "epoch": 0.82, + "learning_rate": 7.877855071547691e-07, + "loss": 0.6451, + "step": 12115 + }, + { + "epoch": 0.82, + "learning_rate": 7.871919488745361e-07, + "loss": 0.7462, + "step": 12116 + }, + { + "epoch": 0.82, + "learning_rate": 7.865985951803646e-07, + "loss": 0.686, + "step": 12117 + }, + { + "epoch": 0.82, + "learning_rate": 7.860054461010697e-07, + "loss": 0.6442, + "step": 12118 + }, + { + "epoch": 0.82, + "learning_rate": 7.854125016654563e-07, + "loss": 0.7461, + "step": 12119 + }, + { + "epoch": 0.82, + "learning_rate": 7.848197619023207e-07, + "loss": 0.8639, + "step": 12120 + }, + { + "epoch": 0.82, + "learning_rate": 7.84227226840445e-07, + "loss": 0.6064, + "step": 12121 + }, + { + "epoch": 0.82, + "learning_rate": 7.836348965086071e-07, + "loss": 0.9193, + "step": 12122 + }, + { + "epoch": 0.82, + "learning_rate": 7.830427709355726e-07, + "loss": 0.628, + "step": 12123 + }, + { + "epoch": 0.82, + "learning_rate": 7.824508501500932e-07, + "loss": 0.6596, + "step": 12124 + }, + { + "epoch": 0.82, + "learning_rate": 7.818591341809184e-07, + "loss": 0.5996, + "step": 12125 + }, + { + "epoch": 0.83, + "learning_rate": 7.812676230567829e-07, + "loss": 1.026, + "step": 12126 + }, + { + "epoch": 0.83, + "learning_rate": 7.806763168064103e-07, + "loss": 0.6151, + "step": 12127 + }, + { + "epoch": 0.83, + "learning_rate": 7.800852154585153e-07, + "loss": 0.6696, + "step": 12128 + }, + { + "epoch": 0.83, + "learning_rate": 7.79494319041808e-07, + "loss": 0.7429, + "step": 12129 + }, + { + "epoch": 0.83, + "learning_rate": 7.789036275849804e-07, + "loss": 0.9921, + "step": 12130 + }, + { + "epoch": 0.83, + "learning_rate": 7.783131411167189e-07, + "loss": 0.7635, + "step": 12131 + }, + { + "epoch": 0.83, + "learning_rate": 7.777228596656994e-07, + "loss": 0.7811, + "step": 12132 + }, + { + "epoch": 0.83, + "learning_rate": 7.77132783260588e-07, + "loss": 0.7419, + "step": 12133 + }, + { + "epoch": 0.83, + "learning_rate": 7.765429119300394e-07, + "loss": 0.752, + "step": 12134 + }, + { + "epoch": 0.83, + "learning_rate": 7.759532457027008e-07, + "loss": 0.6866, + "step": 12135 + }, + { + "epoch": 0.83, + "learning_rate": 7.753637846072076e-07, + "loss": 0.8399, + "step": 12136 + }, + { + "epoch": 0.83, + "learning_rate": 7.747745286721852e-07, + "loss": 0.7047, + "step": 12137 + }, + { + "epoch": 0.83, + "learning_rate": 7.741854779262503e-07, + "loss": 0.7343, + "step": 12138 + }, + { + "epoch": 0.83, + "learning_rate": 7.735966323980088e-07, + "loss": 0.7994, + "step": 12139 + }, + { + "epoch": 0.83, + "learning_rate": 7.73007992116056e-07, + "loss": 0.5578, + "step": 12140 + }, + { + "epoch": 0.83, + "learning_rate": 7.724195571089787e-07, + "loss": 0.7972, + "step": 12141 + }, + { + "epoch": 0.83, + "learning_rate": 7.718313274053529e-07, + "loss": 0.8278, + "step": 12142 + }, + { + "epoch": 0.83, + "learning_rate": 7.712433030337446e-07, + "loss": 0.7585, + "step": 12143 + }, + { + "epoch": 0.83, + "learning_rate": 7.706554840227099e-07, + "loss": 0.4854, + "step": 12144 + }, + { + "epoch": 0.83, + "learning_rate": 7.700678704007947e-07, + "loss": 0.7647, + "step": 12145 + }, + { + "epoch": 0.83, + "learning_rate": 7.694804621965368e-07, + "loss": 0.5146, + "step": 12146 + }, + { + "epoch": 0.83, + "learning_rate": 7.68893259438459e-07, + "loss": 0.6005, + "step": 12147 + }, + { + "epoch": 0.83, + "learning_rate": 7.683062621550824e-07, + "loss": 0.5838, + "step": 12148 + }, + { + "epoch": 0.83, + "learning_rate": 7.677194703749091e-07, + "loss": 0.7413, + "step": 12149 + }, + { + "epoch": 0.83, + "learning_rate": 7.671328841264352e-07, + "loss": 0.5514, + "step": 12150 + }, + { + "epoch": 0.83, + "learning_rate": 7.665465034381519e-07, + "loss": 0.799, + "step": 12151 + }, + { + "epoch": 0.83, + "learning_rate": 7.659603283385308e-07, + "loss": 0.8014, + "step": 12152 + }, + { + "epoch": 0.83, + "learning_rate": 7.653743588560387e-07, + "loss": 0.8146, + "step": 12153 + }, + { + "epoch": 0.83, + "learning_rate": 7.647885950191353e-07, + "loss": 0.5926, + "step": 12154 + }, + { + "epoch": 0.83, + "learning_rate": 7.642030368562636e-07, + "loss": 0.6508, + "step": 12155 + }, + { + "epoch": 0.83, + "learning_rate": 7.636176843958599e-07, + "loss": 0.8253, + "step": 12156 + }, + { + "epoch": 0.83, + "learning_rate": 7.630325376663538e-07, + "loss": 0.3525, + "step": 12157 + }, + { + "epoch": 0.83, + "learning_rate": 7.624475966961592e-07, + "loss": 0.7686, + "step": 12158 + }, + { + "epoch": 0.83, + "learning_rate": 7.618628615136825e-07, + "loss": 0.7127, + "step": 12159 + }, + { + "epoch": 0.83, + "learning_rate": 7.61278332147321e-07, + "loss": 0.5252, + "step": 12160 + }, + { + "epoch": 0.83, + "learning_rate": 7.606940086254605e-07, + "loss": 0.6909, + "step": 12161 + }, + { + "epoch": 0.83, + "learning_rate": 7.601098909764781e-07, + "loss": 0.6342, + "step": 12162 + }, + { + "epoch": 0.83, + "learning_rate": 7.595259792287397e-07, + "loss": 0.7921, + "step": 12163 + }, + { + "epoch": 0.83, + "learning_rate": 7.589422734106011e-07, + "loss": 0.7571, + "step": 12164 + }, + { + "epoch": 0.83, + "learning_rate": 7.583587735504106e-07, + "loss": 0.9095, + "step": 12165 + }, + { + "epoch": 0.83, + "learning_rate": 7.57775479676503e-07, + "loss": 0.685, + "step": 12166 + }, + { + "epoch": 0.83, + "learning_rate": 7.571923918172053e-07, + "loss": 1.022, + "step": 12167 + }, + { + "epoch": 0.83, + "learning_rate": 7.566095100008347e-07, + "loss": 0.6611, + "step": 12168 + }, + { + "epoch": 0.83, + "learning_rate": 7.560268342556948e-07, + "loss": 0.7548, + "step": 12169 + }, + { + "epoch": 0.83, + "learning_rate": 7.554443646100851e-07, + "loss": 0.816, + "step": 12170 + }, + { + "epoch": 0.83, + "learning_rate": 7.548621010922919e-07, + "loss": 0.9708, + "step": 12171 + }, + { + "epoch": 0.83, + "learning_rate": 7.542800437305886e-07, + "loss": 0.8302, + "step": 12172 + }, + { + "epoch": 0.83, + "learning_rate": 7.536981925532444e-07, + "loss": 0.6555, + "step": 12173 + }, + { + "epoch": 0.83, + "learning_rate": 7.531165475885161e-07, + "loss": 0.7042, + "step": 12174 + }, + { + "epoch": 0.83, + "learning_rate": 7.525351088646466e-07, + "loss": 0.7869, + "step": 12175 + }, + { + "epoch": 0.83, + "learning_rate": 7.519538764098766e-07, + "loss": 0.7215, + "step": 12176 + }, + { + "epoch": 0.83, + "learning_rate": 7.513728502524286e-07, + "loss": 0.7346, + "step": 12177 + }, + { + "epoch": 0.83, + "learning_rate": 7.507920304205202e-07, + "loss": 0.5877, + "step": 12178 + }, + { + "epoch": 0.83, + "learning_rate": 7.502114169423597e-07, + "loss": 0.8979, + "step": 12179 + }, + { + "epoch": 0.83, + "learning_rate": 7.496310098461406e-07, + "loss": 0.8777, + "step": 12180 + }, + { + "epoch": 0.83, + "learning_rate": 7.490508091600495e-07, + "loss": 0.8221, + "step": 12181 + }, + { + "epoch": 0.83, + "learning_rate": 7.484708149122655e-07, + "loss": 0.859, + "step": 12182 + }, + { + "epoch": 0.83, + "learning_rate": 7.478910271309509e-07, + "loss": 0.7285, + "step": 12183 + }, + { + "epoch": 0.83, + "learning_rate": 7.473114458442642e-07, + "loss": 0.7836, + "step": 12184 + }, + { + "epoch": 0.83, + "learning_rate": 7.467320710803505e-07, + "loss": 0.735, + "step": 12185 + }, + { + "epoch": 0.83, + "learning_rate": 7.461529028673465e-07, + "loss": 0.5969, + "step": 12186 + }, + { + "epoch": 0.83, + "learning_rate": 7.455739412333779e-07, + "loss": 0.7242, + "step": 12187 + }, + { + "epoch": 0.83, + "learning_rate": 7.449951862065607e-07, + "loss": 0.849, + "step": 12188 + }, + { + "epoch": 0.83, + "learning_rate": 7.444166378150014e-07, + "loss": 0.4041, + "step": 12189 + }, + { + "epoch": 0.83, + "learning_rate": 7.438382960867957e-07, + "loss": 0.7786, + "step": 12190 + }, + { + "epoch": 0.83, + "learning_rate": 7.432601610500295e-07, + "loss": 0.6945, + "step": 12191 + }, + { + "epoch": 0.83, + "learning_rate": 7.426822327327787e-07, + "loss": 0.5815, + "step": 12192 + }, + { + "epoch": 0.83, + "learning_rate": 7.421045111631092e-07, + "loss": 0.7206, + "step": 12193 + }, + { + "epoch": 0.83, + "learning_rate": 7.415269963690769e-07, + "loss": 0.7654, + "step": 12194 + }, + { + "epoch": 0.83, + "learning_rate": 7.409496883787276e-07, + "loss": 0.4547, + "step": 12195 + }, + { + "epoch": 0.83, + "learning_rate": 7.403725872200978e-07, + "loss": 0.7529, + "step": 12196 + }, + { + "epoch": 0.83, + "learning_rate": 7.397956929212097e-07, + "loss": 0.5938, + "step": 12197 + }, + { + "epoch": 0.83, + "learning_rate": 7.392190055100834e-07, + "loss": 0.7872, + "step": 12198 + }, + { + "epoch": 0.83, + "learning_rate": 7.386425250147233e-07, + "loss": 0.5695, + "step": 12199 + }, + { + "epoch": 0.83, + "learning_rate": 7.380662514631221e-07, + "loss": 0.8587, + "step": 12200 + }, + { + "epoch": 0.83, + "learning_rate": 7.374901848832683e-07, + "loss": 0.7812, + "step": 12201 + }, + { + "epoch": 0.83, + "learning_rate": 7.36914325303138e-07, + "loss": 0.6159, + "step": 12202 + }, + { + "epoch": 0.83, + "learning_rate": 7.363386727506943e-07, + "loss": 0.9688, + "step": 12203 + }, + { + "epoch": 0.83, + "learning_rate": 7.357632272538917e-07, + "loss": 0.8621, + "step": 12204 + }, + { + "epoch": 0.83, + "learning_rate": 7.351879888406799e-07, + "loss": 0.7159, + "step": 12205 + }, + { + "epoch": 0.83, + "learning_rate": 7.346129575389898e-07, + "loss": 0.6593, + "step": 12206 + }, + { + "epoch": 0.83, + "learning_rate": 7.340381333767487e-07, + "loss": 0.6294, + "step": 12207 + }, + { + "epoch": 0.83, + "learning_rate": 7.33463516381871e-07, + "loss": 0.7615, + "step": 12208 + }, + { + "epoch": 0.83, + "learning_rate": 7.328891065822613e-07, + "loss": 0.4118, + "step": 12209 + }, + { + "epoch": 0.83, + "learning_rate": 7.323149040058159e-07, + "loss": 0.7947, + "step": 12210 + }, + { + "epoch": 0.83, + "learning_rate": 7.317409086804189e-07, + "loss": 0.4971, + "step": 12211 + }, + { + "epoch": 0.83, + "learning_rate": 7.311671206339454e-07, + "loss": 0.5653, + "step": 12212 + }, + { + "epoch": 0.83, + "learning_rate": 7.305935398942598e-07, + "loss": 0.7502, + "step": 12213 + }, + { + "epoch": 0.83, + "learning_rate": 7.30020166489217e-07, + "loss": 0.4355, + "step": 12214 + }, + { + "epoch": 0.83, + "learning_rate": 7.294470004466625e-07, + "loss": 0.706, + "step": 12215 + }, + { + "epoch": 0.83, + "learning_rate": 7.288740417944295e-07, + "loss": 0.8292, + "step": 12216 + }, + { + "epoch": 0.83, + "learning_rate": 7.283012905603437e-07, + "loss": 0.9081, + "step": 12217 + }, + { + "epoch": 0.83, + "learning_rate": 7.277287467722188e-07, + "loss": 0.6138, + "step": 12218 + }, + { + "epoch": 0.83, + "learning_rate": 7.271564104578604e-07, + "loss": 0.9042, + "step": 12219 + }, + { + "epoch": 0.83, + "learning_rate": 7.265842816450596e-07, + "loss": 0.4662, + "step": 12220 + }, + { + "epoch": 0.83, + "learning_rate": 7.260123603616043e-07, + "loss": 0.5618, + "step": 12221 + }, + { + "epoch": 0.83, + "learning_rate": 7.254406466352682e-07, + "loss": 0.6591, + "step": 12222 + }, + { + "epoch": 0.83, + "learning_rate": 7.248691404938119e-07, + "loss": 0.7489, + "step": 12223 + }, + { + "epoch": 0.83, + "learning_rate": 7.242978419649937e-07, + "loss": 0.6554, + "step": 12224 + }, + { + "epoch": 0.83, + "learning_rate": 7.237267510765549e-07, + "loss": 0.638, + "step": 12225 + }, + { + "epoch": 0.83, + "learning_rate": 7.231558678562289e-07, + "loss": 1.0148, + "step": 12226 + }, + { + "epoch": 0.83, + "learning_rate": 7.225851923317428e-07, + "loss": 0.9424, + "step": 12227 + }, + { + "epoch": 0.83, + "learning_rate": 7.220147245308074e-07, + "loss": 0.8022, + "step": 12228 + }, + { + "epoch": 0.83, + "learning_rate": 7.214444644811247e-07, + "loss": 0.8123, + "step": 12229 + }, + { + "epoch": 0.83, + "learning_rate": 7.208744122103933e-07, + "loss": 0.9559, + "step": 12230 + }, + { + "epoch": 0.83, + "learning_rate": 7.203045677462922e-07, + "loss": 0.4581, + "step": 12231 + }, + { + "epoch": 0.83, + "learning_rate": 7.197349311164947e-07, + "loss": 0.6473, + "step": 12232 + }, + { + "epoch": 0.83, + "learning_rate": 7.191655023486682e-07, + "loss": 0.954, + "step": 12233 + }, + { + "epoch": 0.83, + "learning_rate": 7.185962814704616e-07, + "loss": 0.7203, + "step": 12234 + }, + { + "epoch": 0.83, + "learning_rate": 7.180272685095191e-07, + "loss": 0.8081, + "step": 12235 + }, + { + "epoch": 0.83, + "learning_rate": 7.174584634934739e-07, + "loss": 0.7096, + "step": 12236 + }, + { + "epoch": 0.83, + "learning_rate": 7.168898664499485e-07, + "loss": 0.6108, + "step": 12237 + }, + { + "epoch": 0.83, + "learning_rate": 7.163214774065558e-07, + "loss": 0.6885, + "step": 12238 + }, + { + "epoch": 0.83, + "learning_rate": 7.157532963908986e-07, + "loss": 0.7025, + "step": 12239 + }, + { + "epoch": 0.83, + "learning_rate": 7.151853234305695e-07, + "loss": 0.8004, + "step": 12240 + }, + { + "epoch": 0.83, + "learning_rate": 7.146175585531501e-07, + "loss": 0.8164, + "step": 12241 + }, + { + "epoch": 0.83, + "learning_rate": 7.140500017862129e-07, + "loss": 0.9747, + "step": 12242 + }, + { + "epoch": 0.83, + "learning_rate": 7.134826531573208e-07, + "loss": 0.6082, + "step": 12243 + }, + { + "epoch": 0.83, + "learning_rate": 7.129155126940269e-07, + "loss": 0.8429, + "step": 12244 + }, + { + "epoch": 0.83, + "learning_rate": 7.123485804238689e-07, + "loss": 0.6319, + "step": 12245 + }, + { + "epoch": 0.83, + "learning_rate": 7.117818563743828e-07, + "loss": 0.7205, + "step": 12246 + }, + { + "epoch": 0.83, + "learning_rate": 7.112153405730898e-07, + "loss": 0.9914, + "step": 12247 + }, + { + "epoch": 0.83, + "learning_rate": 7.106490330474991e-07, + "loss": 0.8503, + "step": 12248 + }, + { + "epoch": 0.83, + "learning_rate": 7.100829338251147e-07, + "loss": 0.6653, + "step": 12249 + }, + { + "epoch": 0.83, + "learning_rate": 7.09517042933428e-07, + "loss": 0.818, + "step": 12250 + }, + { + "epoch": 0.83, + "learning_rate": 7.089513603999177e-07, + "loss": 0.9683, + "step": 12251 + }, + { + "epoch": 0.83, + "learning_rate": 7.083858862520593e-07, + "loss": 0.7933, + "step": 12252 + }, + { + "epoch": 0.83, + "learning_rate": 7.078206205173094e-07, + "loss": 0.6756, + "step": 12253 + }, + { + "epoch": 0.83, + "learning_rate": 7.072555632231199e-07, + "loss": 0.4894, + "step": 12254 + }, + { + "epoch": 0.83, + "learning_rate": 7.066907143969353e-07, + "loss": 0.6561, + "step": 12255 + }, + { + "epoch": 0.83, + "learning_rate": 7.061260740661818e-07, + "loss": 0.8729, + "step": 12256 + }, + { + "epoch": 0.83, + "learning_rate": 7.055616422582817e-07, + "loss": 0.7022, + "step": 12257 + }, + { + "epoch": 0.83, + "learning_rate": 7.049974190006458e-07, + "loss": 0.756, + "step": 12258 + }, + { + "epoch": 0.83, + "learning_rate": 7.044334043206736e-07, + "loss": 0.68, + "step": 12259 + }, + { + "epoch": 0.83, + "learning_rate": 7.038695982457561e-07, + "loss": 0.5711, + "step": 12260 + }, + { + "epoch": 0.83, + "learning_rate": 7.033060008032721e-07, + "loss": 0.9054, + "step": 12261 + }, + { + "epoch": 0.83, + "learning_rate": 7.027426120205932e-07, + "loss": 0.9165, + "step": 12262 + }, + { + "epoch": 0.83, + "learning_rate": 7.02179431925078e-07, + "loss": 0.8792, + "step": 12263 + }, + { + "epoch": 0.83, + "learning_rate": 7.016164605440761e-07, + "loss": 0.6936, + "step": 12264 + }, + { + "epoch": 0.83, + "learning_rate": 7.010536979049277e-07, + "loss": 0.7954, + "step": 12265 + }, + { + "epoch": 0.83, + "learning_rate": 7.004911440349616e-07, + "loss": 0.444, + "step": 12266 + }, + { + "epoch": 0.83, + "learning_rate": 6.999287989614972e-07, + "loss": 0.7391, + "step": 12267 + }, + { + "epoch": 0.83, + "learning_rate": 6.99366662711844e-07, + "loss": 0.8295, + "step": 12268 + }, + { + "epoch": 0.83, + "learning_rate": 6.988047353133004e-07, + "loss": 0.707, + "step": 12269 + }, + { + "epoch": 0.83, + "learning_rate": 6.982430167931558e-07, + "loss": 0.7474, + "step": 12270 + }, + { + "epoch": 0.83, + "learning_rate": 6.97681507178688e-07, + "loss": 0.6207, + "step": 12271 + }, + { + "epoch": 0.83, + "learning_rate": 6.971202064971671e-07, + "loss": 0.5394, + "step": 12272 + }, + { + "epoch": 0.84, + "learning_rate": 6.965591147758482e-07, + "loss": 0.8453, + "step": 12273 + }, + { + "epoch": 0.84, + "learning_rate": 6.959982320419828e-07, + "loss": 0.7897, + "step": 12274 + }, + { + "epoch": 0.84, + "learning_rate": 6.95437558322809e-07, + "loss": 0.8355, + "step": 12275 + }, + { + "epoch": 0.84, + "learning_rate": 6.948770936455528e-07, + "loss": 0.5261, + "step": 12276 + }, + { + "epoch": 0.84, + "learning_rate": 6.94316838037431e-07, + "loss": 0.7655, + "step": 12277 + }, + { + "epoch": 0.84, + "learning_rate": 6.93756791525656e-07, + "loss": 0.755, + "step": 12278 + }, + { + "epoch": 0.84, + "learning_rate": 6.931969541374206e-07, + "loss": 0.5524, + "step": 12279 + }, + { + "epoch": 0.84, + "learning_rate": 6.926373258999125e-07, + "loss": 0.7524, + "step": 12280 + }, + { + "epoch": 0.84, + "learning_rate": 6.920779068403127e-07, + "loss": 0.5482, + "step": 12281 + }, + { + "epoch": 0.84, + "learning_rate": 6.915186969857846e-07, + "loss": 0.9846, + "step": 12282 + }, + { + "epoch": 0.84, + "learning_rate": 6.909596963634857e-07, + "loss": 0.75, + "step": 12283 + }, + { + "epoch": 0.84, + "learning_rate": 6.904009050005634e-07, + "loss": 0.6309, + "step": 12284 + }, + { + "epoch": 0.84, + "learning_rate": 6.898423229241535e-07, + "loss": 0.4579, + "step": 12285 + }, + { + "epoch": 0.84, + "learning_rate": 6.89283950161383e-07, + "loss": 0.489, + "step": 12286 + }, + { + "epoch": 0.84, + "learning_rate": 6.887257867393677e-07, + "loss": 0.6959, + "step": 12287 + }, + { + "epoch": 0.84, + "learning_rate": 6.881678326852137e-07, + "loss": 0.5638, + "step": 12288 + }, + { + "epoch": 0.84, + "learning_rate": 6.876100880260167e-07, + "loss": 0.7863, + "step": 12289 + }, + { + "epoch": 0.84, + "learning_rate": 6.870525527888627e-07, + "loss": 0.5895, + "step": 12290 + }, + { + "epoch": 0.84, + "learning_rate": 6.864952270008274e-07, + "loss": 0.78, + "step": 12291 + }, + { + "epoch": 0.84, + "learning_rate": 6.85938110688975e-07, + "loss": 0.5767, + "step": 12292 + }, + { + "epoch": 0.84, + "learning_rate": 6.85381203880362e-07, + "loss": 0.7607, + "step": 12293 + }, + { + "epoch": 0.84, + "learning_rate": 6.848245066020326e-07, + "loss": 0.7205, + "step": 12294 + }, + { + "epoch": 0.84, + "learning_rate": 6.84268018881023e-07, + "loss": 1.0094, + "step": 12295 + }, + { + "epoch": 0.84, + "learning_rate": 6.83711740744355e-07, + "loss": 0.7212, + "step": 12296 + }, + { + "epoch": 0.84, + "learning_rate": 6.831556722190453e-07, + "loss": 0.8075, + "step": 12297 + }, + { + "epoch": 0.84, + "learning_rate": 6.825998133320987e-07, + "loss": 0.4278, + "step": 12298 + }, + { + "epoch": 0.84, + "learning_rate": 6.820441641105064e-07, + "loss": 0.9152, + "step": 12299 + }, + { + "epoch": 0.84, + "learning_rate": 6.814887245812563e-07, + "loss": 0.6796, + "step": 12300 + }, + { + "epoch": 0.84, + "learning_rate": 6.809334947713192e-07, + "loss": 0.6981, + "step": 12301 + }, + { + "epoch": 0.84, + "learning_rate": 6.80378474707658e-07, + "loss": 0.6778, + "step": 12302 + }, + { + "epoch": 0.84, + "learning_rate": 6.798236644172301e-07, + "loss": 0.6479, + "step": 12303 + }, + { + "epoch": 0.84, + "learning_rate": 6.792690639269744e-07, + "loss": 0.8062, + "step": 12304 + }, + { + "epoch": 0.84, + "learning_rate": 6.78714673263825e-07, + "loss": 0.7483, + "step": 12305 + }, + { + "epoch": 0.84, + "learning_rate": 6.781604924547075e-07, + "loss": 0.5223, + "step": 12306 + }, + { + "epoch": 0.84, + "learning_rate": 6.776065215265315e-07, + "loss": 0.8238, + "step": 12307 + }, + { + "epoch": 0.84, + "learning_rate": 6.770527605061989e-07, + "loss": 0.8363, + "step": 12308 + }, + { + "epoch": 0.84, + "learning_rate": 6.764992094206052e-07, + "loss": 0.8744, + "step": 12309 + }, + { + "epoch": 0.84, + "learning_rate": 6.759458682966297e-07, + "loss": 0.7655, + "step": 12310 + }, + { + "epoch": 0.84, + "learning_rate": 6.753927371611452e-07, + "loss": 0.6834, + "step": 12311 + }, + { + "epoch": 0.84, + "learning_rate": 6.74839816041013e-07, + "loss": 0.7082, + "step": 12312 + }, + { + "epoch": 0.84, + "learning_rate": 6.74287104963085e-07, + "loss": 0.6522, + "step": 12313 + }, + { + "epoch": 0.84, + "learning_rate": 6.737346039542019e-07, + "loss": 0.6216, + "step": 12314 + }, + { + "epoch": 0.84, + "learning_rate": 6.731823130411952e-07, + "loss": 0.7091, + "step": 12315 + }, + { + "epoch": 0.84, + "learning_rate": 6.726302322508854e-07, + "loss": 0.7966, + "step": 12316 + }, + { + "epoch": 0.84, + "learning_rate": 6.720783616100828e-07, + "loss": 0.8049, + "step": 12317 + }, + { + "epoch": 0.84, + "learning_rate": 6.715267011455889e-07, + "loss": 0.8192, + "step": 12318 + }, + { + "epoch": 0.84, + "learning_rate": 6.709752508841933e-07, + "loss": 0.5834, + "step": 12319 + }, + { + "epoch": 0.84, + "learning_rate": 6.704240108526772e-07, + "loss": 0.8149, + "step": 12320 + }, + { + "epoch": 0.84, + "learning_rate": 6.698729810778065e-07, + "loss": 0.8777, + "step": 12321 + }, + { + "epoch": 0.84, + "learning_rate": 6.693221615863449e-07, + "loss": 0.6325, + "step": 12322 + }, + { + "epoch": 0.84, + "learning_rate": 6.68771552405042e-07, + "loss": 0.9428, + "step": 12323 + }, + { + "epoch": 0.84, + "learning_rate": 6.682211535606326e-07, + "loss": 0.7156, + "step": 12324 + }, + { + "epoch": 0.84, + "learning_rate": 6.676709650798491e-07, + "loss": 0.7905, + "step": 12325 + }, + { + "epoch": 0.84, + "learning_rate": 6.671209869894113e-07, + "loss": 0.593, + "step": 12326 + }, + { + "epoch": 0.84, + "learning_rate": 6.665712193160234e-07, + "loss": 0.7176, + "step": 12327 + }, + { + "epoch": 0.84, + "learning_rate": 6.660216620863885e-07, + "loss": 0.7494, + "step": 12328 + }, + { + "epoch": 0.84, + "learning_rate": 6.654723153271913e-07, + "loss": 0.7047, + "step": 12329 + }, + { + "epoch": 0.84, + "learning_rate": 6.6492317906511e-07, + "loss": 0.5994, + "step": 12330 + }, + { + "epoch": 0.84, + "learning_rate": 6.643742533268149e-07, + "loss": 0.6824, + "step": 12331 + }, + { + "epoch": 0.84, + "learning_rate": 6.638255381389607e-07, + "loss": 0.7343, + "step": 12332 + }, + { + "epoch": 0.84, + "learning_rate": 6.632770335281952e-07, + "loss": 0.7219, + "step": 12333 + }, + { + "epoch": 0.84, + "learning_rate": 6.627287395211556e-07, + "loss": 0.6877, + "step": 12334 + }, + { + "epoch": 0.84, + "learning_rate": 6.621806561444683e-07, + "loss": 0.6256, + "step": 12335 + }, + { + "epoch": 0.84, + "learning_rate": 6.616327834247505e-07, + "loss": 0.5178, + "step": 12336 + }, + { + "epoch": 0.84, + "learning_rate": 6.610851213886077e-07, + "loss": 0.6673, + "step": 12337 + }, + { + "epoch": 0.84, + "learning_rate": 6.605376700626371e-07, + "loss": 0.6228, + "step": 12338 + }, + { + "epoch": 0.84, + "learning_rate": 6.599904294734227e-07, + "loss": 0.7867, + "step": 12339 + }, + { + "epoch": 0.84, + "learning_rate": 6.594433996475418e-07, + "loss": 0.892, + "step": 12340 + }, + { + "epoch": 0.84, + "learning_rate": 6.588965806115588e-07, + "loss": 0.5813, + "step": 12341 + }, + { + "epoch": 0.84, + "learning_rate": 6.583499723920289e-07, + "loss": 0.5691, + "step": 12342 + }, + { + "epoch": 0.84, + "learning_rate": 6.578035750154977e-07, + "loss": 0.8544, + "step": 12343 + }, + { + "epoch": 0.84, + "learning_rate": 6.572573885084987e-07, + "loss": 0.6014, + "step": 12344 + }, + { + "epoch": 0.84, + "learning_rate": 6.567114128975571e-07, + "loss": 0.3742, + "step": 12345 + }, + { + "epoch": 0.84, + "learning_rate": 6.561656482091866e-07, + "loss": 0.3325, + "step": 12346 + }, + { + "epoch": 0.84, + "learning_rate": 6.55620094469891e-07, + "loss": 0.7798, + "step": 12347 + }, + { + "epoch": 0.84, + "learning_rate": 6.550747517061656e-07, + "loss": 0.8704, + "step": 12348 + }, + { + "epoch": 0.84, + "learning_rate": 6.545296199444917e-07, + "loss": 0.7844, + "step": 12349 + }, + { + "epoch": 0.84, + "learning_rate": 6.539846992113419e-07, + "loss": 0.5379, + "step": 12350 + }, + { + "epoch": 0.84, + "learning_rate": 6.534399895331822e-07, + "loss": 0.9233, + "step": 12351 + }, + { + "epoch": 0.84, + "learning_rate": 6.528954909364627e-07, + "loss": 0.983, + "step": 12352 + }, + { + "epoch": 0.84, + "learning_rate": 6.523512034476254e-07, + "loss": 0.6004, + "step": 12353 + }, + { + "epoch": 0.84, + "learning_rate": 6.518071270931059e-07, + "loss": 0.849, + "step": 12354 + }, + { + "epoch": 0.84, + "learning_rate": 6.512632618993231e-07, + "loss": 0.7145, + "step": 12355 + }, + { + "epoch": 0.84, + "learning_rate": 6.507196078926881e-07, + "loss": 0.799, + "step": 12356 + }, + { + "epoch": 0.84, + "learning_rate": 6.501761650996052e-07, + "loss": 0.6552, + "step": 12357 + }, + { + "epoch": 0.84, + "learning_rate": 6.496329335464635e-07, + "loss": 0.7286, + "step": 12358 + }, + { + "epoch": 0.84, + "learning_rate": 6.490899132596445e-07, + "loss": 0.7618, + "step": 12359 + }, + { + "epoch": 0.84, + "learning_rate": 6.485471042655184e-07, + "loss": 0.6871, + "step": 12360 + }, + { + "epoch": 0.84, + "learning_rate": 6.480045065904461e-07, + "loss": 0.7964, + "step": 12361 + }, + { + "epoch": 0.84, + "learning_rate": 6.474621202607773e-07, + "loss": 0.7628, + "step": 12362 + }, + { + "epoch": 0.84, + "learning_rate": 6.469199453028518e-07, + "loss": 0.8524, + "step": 12363 + }, + { + "epoch": 0.84, + "learning_rate": 6.46377981743e-07, + "loss": 0.9416, + "step": 12364 + }, + { + "epoch": 0.84, + "learning_rate": 6.458362296075399e-07, + "loss": 0.8442, + "step": 12365 + }, + { + "epoch": 0.84, + "learning_rate": 6.452946889227813e-07, + "loss": 0.8412, + "step": 12366 + }, + { + "epoch": 0.84, + "learning_rate": 6.447533597150229e-07, + "loss": 0.7697, + "step": 12367 + }, + { + "epoch": 0.84, + "learning_rate": 6.442122420105545e-07, + "loss": 0.5038, + "step": 12368 + }, + { + "epoch": 0.84, + "learning_rate": 6.436713358356506e-07, + "loss": 0.8266, + "step": 12369 + }, + { + "epoch": 0.84, + "learning_rate": 6.431306412165827e-07, + "loss": 0.7258, + "step": 12370 + }, + { + "epoch": 0.84, + "learning_rate": 6.42590158179609e-07, + "loss": 0.8153, + "step": 12371 + }, + { + "epoch": 0.84, + "learning_rate": 6.420498867509723e-07, + "loss": 0.6545, + "step": 12372 + }, + { + "epoch": 0.84, + "learning_rate": 6.415098269569142e-07, + "loss": 0.8888, + "step": 12373 + }, + { + "epoch": 0.84, + "learning_rate": 6.409699788236612e-07, + "loss": 0.6526, + "step": 12374 + }, + { + "epoch": 0.84, + "learning_rate": 6.404303423774261e-07, + "loss": 0.6083, + "step": 12375 + }, + { + "epoch": 0.84, + "learning_rate": 6.398909176444206e-07, + "loss": 0.4954, + "step": 12376 + }, + { + "epoch": 0.84, + "learning_rate": 6.393517046508363e-07, + "loss": 0.9231, + "step": 12377 + }, + { + "epoch": 0.84, + "learning_rate": 6.388127034228598e-07, + "loss": 0.5975, + "step": 12378 + }, + { + "epoch": 0.84, + "learning_rate": 6.382739139866695e-07, + "loss": 0.4196, + "step": 12379 + }, + { + "epoch": 0.84, + "learning_rate": 6.377353363684268e-07, + "loss": 0.4849, + "step": 12380 + }, + { + "epoch": 0.84, + "learning_rate": 6.371969705942877e-07, + "loss": 0.8437, + "step": 12381 + }, + { + "epoch": 0.84, + "learning_rate": 6.366588166903992e-07, + "loss": 0.8966, + "step": 12382 + }, + { + "epoch": 0.84, + "learning_rate": 6.361208746828928e-07, + "loss": 0.6998, + "step": 12383 + }, + { + "epoch": 0.84, + "learning_rate": 6.355831445978921e-07, + "loss": 0.8785, + "step": 12384 + }, + { + "epoch": 0.84, + "learning_rate": 6.35045626461514e-07, + "loss": 0.4682, + "step": 12385 + }, + { + "epoch": 0.84, + "learning_rate": 6.345083202998592e-07, + "loss": 0.4576, + "step": 12386 + }, + { + "epoch": 0.84, + "learning_rate": 6.339712261390213e-07, + "loss": 0.6317, + "step": 12387 + }, + { + "epoch": 0.84, + "learning_rate": 6.334343440050839e-07, + "loss": 0.7916, + "step": 12388 + }, + { + "epoch": 0.84, + "learning_rate": 6.328976739241188e-07, + "loss": 0.5688, + "step": 12389 + }, + { + "epoch": 0.84, + "learning_rate": 6.323612159221887e-07, + "loss": 0.6299, + "step": 12390 + }, + { + "epoch": 0.84, + "learning_rate": 6.318249700253453e-07, + "loss": 0.7532, + "step": 12391 + }, + { + "epoch": 0.84, + "learning_rate": 6.312889362596303e-07, + "loss": 0.6363, + "step": 12392 + }, + { + "epoch": 0.84, + "learning_rate": 6.307531146510754e-07, + "loss": 0.5927, + "step": 12393 + }, + { + "epoch": 0.84, + "learning_rate": 6.302175052257009e-07, + "loss": 0.81, + "step": 12394 + }, + { + "epoch": 0.84, + "learning_rate": 6.296821080095183e-07, + "loss": 0.9601, + "step": 12395 + }, + { + "epoch": 0.84, + "learning_rate": 6.291469230285285e-07, + "loss": 0.6791, + "step": 12396 + }, + { + "epoch": 0.84, + "learning_rate": 6.286119503087185e-07, + "loss": 0.8825, + "step": 12397 + }, + { + "epoch": 0.84, + "learning_rate": 6.280771898760718e-07, + "loss": 0.7418, + "step": 12398 + }, + { + "epoch": 0.84, + "learning_rate": 6.275426417565572e-07, + "loss": 0.6593, + "step": 12399 + }, + { + "epoch": 0.84, + "learning_rate": 6.270083059761312e-07, + "loss": 0.7503, + "step": 12400 + }, + { + "epoch": 0.84, + "learning_rate": 6.264741825607457e-07, + "loss": 0.9925, + "step": 12401 + }, + { + "epoch": 0.84, + "learning_rate": 6.259402715363394e-07, + "loss": 0.5362, + "step": 12402 + }, + { + "epoch": 0.84, + "learning_rate": 6.254065729288373e-07, + "loss": 0.9966, + "step": 12403 + }, + { + "epoch": 0.84, + "learning_rate": 6.248730867641617e-07, + "loss": 0.571, + "step": 12404 + }, + { + "epoch": 0.84, + "learning_rate": 6.243398130682165e-07, + "loss": 0.4384, + "step": 12405 + }, + { + "epoch": 0.84, + "learning_rate": 6.238067518669005e-07, + "loss": 0.9585, + "step": 12406 + }, + { + "epoch": 0.84, + "learning_rate": 6.232739031861007e-07, + "loss": 0.4801, + "step": 12407 + }, + { + "epoch": 0.84, + "learning_rate": 6.227412670516942e-07, + "loss": 0.7089, + "step": 12408 + }, + { + "epoch": 0.84, + "learning_rate": 6.222088434895462e-07, + "loss": 0.6973, + "step": 12409 + }, + { + "epoch": 0.84, + "learning_rate": 6.216766325255136e-07, + "loss": 0.6839, + "step": 12410 + }, + { + "epoch": 0.84, + "learning_rate": 6.211446341854415e-07, + "loss": 0.8624, + "step": 12411 + }, + { + "epoch": 0.84, + "learning_rate": 6.206128484951662e-07, + "loss": 0.5417, + "step": 12412 + }, + { + "epoch": 0.84, + "learning_rate": 6.200812754805119e-07, + "loss": 0.7212, + "step": 12413 + }, + { + "epoch": 0.84, + "learning_rate": 6.195499151672934e-07, + "loss": 0.7327, + "step": 12414 + }, + { + "epoch": 0.84, + "learning_rate": 6.190187675813159e-07, + "loss": 0.7027, + "step": 12415 + }, + { + "epoch": 0.84, + "learning_rate": 6.184878327483723e-07, + "loss": 0.517, + "step": 12416 + }, + { + "epoch": 0.84, + "learning_rate": 6.179571106942466e-07, + "loss": 1.0822, + "step": 12417 + }, + { + "epoch": 0.84, + "learning_rate": 6.174266014447128e-07, + "loss": 0.552, + "step": 12418 + }, + { + "epoch": 0.84, + "learning_rate": 6.168963050255333e-07, + "loss": 0.6772, + "step": 12419 + }, + { + "epoch": 0.85, + "learning_rate": 6.163662214624616e-07, + "loss": 0.7402, + "step": 12420 + }, + { + "epoch": 0.85, + "learning_rate": 6.158363507812393e-07, + "loss": 0.7226, + "step": 12421 + }, + { + "epoch": 0.85, + "learning_rate": 6.153066930075985e-07, + "loss": 0.9365, + "step": 12422 + }, + { + "epoch": 0.85, + "learning_rate": 6.147772481672609e-07, + "loss": 0.7985, + "step": 12423 + }, + { + "epoch": 0.85, + "learning_rate": 6.142480162859399e-07, + "loss": 0.7462, + "step": 12424 + }, + { + "epoch": 0.85, + "learning_rate": 6.137189973893331e-07, + "loss": 0.9405, + "step": 12425 + }, + { + "epoch": 0.85, + "learning_rate": 6.131901915031319e-07, + "loss": 0.8197, + "step": 12426 + }, + { + "epoch": 0.85, + "learning_rate": 6.126615986530193e-07, + "loss": 0.7862, + "step": 12427 + }, + { + "epoch": 0.85, + "learning_rate": 6.121332188646628e-07, + "loss": 0.6623, + "step": 12428 + }, + { + "epoch": 0.85, + "learning_rate": 6.116050521637218e-07, + "loss": 0.8519, + "step": 12429 + }, + { + "epoch": 0.85, + "learning_rate": 6.110770985758479e-07, + "loss": 0.9145, + "step": 12430 + }, + { + "epoch": 0.85, + "learning_rate": 6.105493581266786e-07, + "loss": 0.7929, + "step": 12431 + }, + { + "epoch": 0.85, + "learning_rate": 6.100218308418409e-07, + "loss": 0.7028, + "step": 12432 + }, + { + "epoch": 0.85, + "learning_rate": 6.094945167469568e-07, + "loss": 0.8659, + "step": 12433 + }, + { + "epoch": 0.85, + "learning_rate": 6.089674158676312e-07, + "loss": 0.8617, + "step": 12434 + }, + { + "epoch": 0.85, + "learning_rate": 6.084405282294625e-07, + "loss": 0.5683, + "step": 12435 + }, + { + "epoch": 0.85, + "learning_rate": 6.079138538580381e-07, + "loss": 0.6694, + "step": 12436 + }, + { + "epoch": 0.85, + "learning_rate": 6.073873927789343e-07, + "loss": 0.7331, + "step": 12437 + }, + { + "epoch": 0.85, + "learning_rate": 6.068611450177181e-07, + "loss": 0.7898, + "step": 12438 + }, + { + "epoch": 0.85, + "learning_rate": 6.063351105999454e-07, + "loss": 0.4768, + "step": 12439 + }, + { + "epoch": 0.85, + "learning_rate": 6.058092895511614e-07, + "loss": 0.4764, + "step": 12440 + }, + { + "epoch": 0.85, + "learning_rate": 6.052836818969027e-07, + "loss": 0.7907, + "step": 12441 + }, + { + "epoch": 0.85, + "learning_rate": 6.047582876626934e-07, + "loss": 0.7043, + "step": 12442 + }, + { + "epoch": 0.85, + "learning_rate": 6.042331068740481e-07, + "loss": 0.7143, + "step": 12443 + }, + { + "epoch": 0.85, + "learning_rate": 6.037081395564731e-07, + "loss": 0.5213, + "step": 12444 + }, + { + "epoch": 0.85, + "learning_rate": 6.031833857354579e-07, + "loss": 0.8255, + "step": 12445 + }, + { + "epoch": 0.85, + "learning_rate": 6.026588454364901e-07, + "loss": 0.7077, + "step": 12446 + }, + { + "epoch": 0.85, + "learning_rate": 6.021345186850419e-07, + "loss": 0.786, + "step": 12447 + }, + { + "epoch": 0.85, + "learning_rate": 6.016104055065747e-07, + "loss": 0.6168, + "step": 12448 + }, + { + "epoch": 0.85, + "learning_rate": 6.010865059265425e-07, + "loss": 0.7474, + "step": 12449 + }, + { + "epoch": 0.85, + "learning_rate": 6.005628199703878e-07, + "loss": 0.6219, + "step": 12450 + }, + { + "epoch": 0.85, + "learning_rate": 6.000393476635391e-07, + "loss": 0.7674, + "step": 12451 + }, + { + "epoch": 0.85, + "learning_rate": 5.995160890314222e-07, + "loss": 0.5994, + "step": 12452 + }, + { + "epoch": 0.85, + "learning_rate": 5.989930440994451e-07, + "loss": 0.6922, + "step": 12453 + }, + { + "epoch": 0.85, + "learning_rate": 5.984702128930076e-07, + "loss": 0.4922, + "step": 12454 + }, + { + "epoch": 0.85, + "learning_rate": 5.979475954375036e-07, + "loss": 0.623, + "step": 12455 + }, + { + "epoch": 0.85, + "learning_rate": 5.974251917583096e-07, + "loss": 0.6621, + "step": 12456 + }, + { + "epoch": 0.85, + "learning_rate": 5.969030018807953e-07, + "loss": 0.5655, + "step": 12457 + }, + { + "epoch": 0.85, + "learning_rate": 5.963810258303227e-07, + "loss": 0.7608, + "step": 12458 + }, + { + "epoch": 0.85, + "learning_rate": 5.958592636322368e-07, + "loss": 0.3933, + "step": 12459 + }, + { + "epoch": 0.85, + "learning_rate": 5.953377153118761e-07, + "loss": 0.7849, + "step": 12460 + }, + { + "epoch": 0.85, + "learning_rate": 5.948163808945723e-07, + "loss": 0.5809, + "step": 12461 + }, + { + "epoch": 0.85, + "learning_rate": 5.942952604056396e-07, + "loss": 0.8169, + "step": 12462 + }, + { + "epoch": 0.85, + "learning_rate": 5.93774353870385e-07, + "loss": 0.7805, + "step": 12463 + }, + { + "epoch": 0.85, + "learning_rate": 5.932536613141065e-07, + "loss": 0.5756, + "step": 12464 + }, + { + "epoch": 0.85, + "learning_rate": 5.927331827620902e-07, + "loss": 0.7754, + "step": 12465 + }, + { + "epoch": 0.85, + "learning_rate": 5.922129182396113e-07, + "loss": 0.6113, + "step": 12466 + }, + { + "epoch": 0.85, + "learning_rate": 5.916928677719363e-07, + "loss": 0.7412, + "step": 12467 + }, + { + "epoch": 0.85, + "learning_rate": 5.911730313843201e-07, + "loss": 0.4966, + "step": 12468 + }, + { + "epoch": 0.85, + "learning_rate": 5.906534091020067e-07, + "loss": 0.8667, + "step": 12469 + }, + { + "epoch": 0.85, + "learning_rate": 5.90134000950231e-07, + "loss": 0.621, + "step": 12470 + }, + { + "epoch": 0.85, + "learning_rate": 5.896148069542173e-07, + "loss": 0.8272, + "step": 12471 + }, + { + "epoch": 0.85, + "learning_rate": 5.890958271391795e-07, + "loss": 0.6807, + "step": 12472 + }, + { + "epoch": 0.85, + "learning_rate": 5.885770615303182e-07, + "loss": 0.5727, + "step": 12473 + }, + { + "epoch": 0.85, + "learning_rate": 5.880585101528291e-07, + "loss": 0.675, + "step": 12474 + }, + { + "epoch": 0.85, + "learning_rate": 5.875401730318947e-07, + "loss": 0.7639, + "step": 12475 + }, + { + "epoch": 0.85, + "learning_rate": 5.870220501926833e-07, + "loss": 0.8005, + "step": 12476 + }, + { + "epoch": 0.85, + "learning_rate": 5.8650414166036e-07, + "loss": 0.6387, + "step": 12477 + }, + { + "epoch": 0.85, + "learning_rate": 5.859864474600757e-07, + "loss": 0.7192, + "step": 12478 + }, + { + "epoch": 0.85, + "learning_rate": 5.854689676169689e-07, + "loss": 0.8821, + "step": 12479 + }, + { + "epoch": 0.85, + "learning_rate": 5.849517021561712e-07, + "loss": 0.5432, + "step": 12480 + }, + { + "epoch": 0.85, + "learning_rate": 5.844346511028032e-07, + "loss": 0.6442, + "step": 12481 + }, + { + "epoch": 0.85, + "learning_rate": 5.839178144819729e-07, + "loss": 0.9086, + "step": 12482 + }, + { + "epoch": 0.85, + "learning_rate": 5.834011923187804e-07, + "loss": 0.451, + "step": 12483 + }, + { + "epoch": 0.85, + "learning_rate": 5.82884784638314e-07, + "loss": 0.6564, + "step": 12484 + }, + { + "epoch": 0.85, + "learning_rate": 5.823685914656524e-07, + "loss": 0.5553, + "step": 12485 + }, + { + "epoch": 0.85, + "learning_rate": 5.818526128258622e-07, + "loss": 0.5603, + "step": 12486 + }, + { + "epoch": 0.85, + "learning_rate": 5.813368487440024e-07, + "loss": 0.837, + "step": 12487 + }, + { + "epoch": 0.85, + "learning_rate": 5.80821299245119e-07, + "loss": 0.6699, + "step": 12488 + }, + { + "epoch": 0.85, + "learning_rate": 5.803059643542491e-07, + "loss": 0.8153, + "step": 12489 + }, + { + "epoch": 0.85, + "learning_rate": 5.797908440964184e-07, + "loss": 0.9711, + "step": 12490 + }, + { + "epoch": 0.85, + "learning_rate": 5.792759384966423e-07, + "loss": 0.8009, + "step": 12491 + }, + { + "epoch": 0.85, + "learning_rate": 5.78761247579927e-07, + "loss": 0.6086, + "step": 12492 + }, + { + "epoch": 0.85, + "learning_rate": 5.782467713712669e-07, + "loss": 0.6773, + "step": 12493 + }, + { + "epoch": 0.85, + "learning_rate": 5.777325098956466e-07, + "loss": 0.7155, + "step": 12494 + }, + { + "epoch": 0.85, + "learning_rate": 5.772184631780398e-07, + "loss": 0.5615, + "step": 12495 + }, + { + "epoch": 0.85, + "learning_rate": 5.767046312434099e-07, + "loss": 0.6784, + "step": 12496 + }, + { + "epoch": 0.85, + "learning_rate": 5.76191014116711e-07, + "loss": 0.8838, + "step": 12497 + }, + { + "epoch": 0.85, + "learning_rate": 5.756776118228863e-07, + "loss": 0.7653, + "step": 12498 + }, + { + "epoch": 0.85, + "learning_rate": 5.751644243868649e-07, + "loss": 0.7882, + "step": 12499 + }, + { + "epoch": 0.85, + "learning_rate": 5.746514518335727e-07, + "loss": 0.7289, + "step": 12500 + }, + { + "epoch": 0.85, + "learning_rate": 5.741386941879179e-07, + "loss": 0.7102, + "step": 12501 + }, + { + "epoch": 0.85, + "learning_rate": 5.736261514748021e-07, + "loss": 0.8235, + "step": 12502 + }, + { + "epoch": 0.85, + "learning_rate": 5.731138237191186e-07, + "loss": 0.6842, + "step": 12503 + }, + { + "epoch": 0.85, + "learning_rate": 5.726017109457449e-07, + "loss": 0.4311, + "step": 12504 + }, + { + "epoch": 0.85, + "learning_rate": 5.720898131795494e-07, + "loss": 0.6767, + "step": 12505 + }, + { + "epoch": 0.85, + "learning_rate": 5.715781304453955e-07, + "loss": 0.5292, + "step": 12506 + }, + { + "epoch": 0.85, + "learning_rate": 5.710666627681289e-07, + "loss": 0.7942, + "step": 12507 + }, + { + "epoch": 0.85, + "learning_rate": 5.705554101725885e-07, + "loss": 0.6396, + "step": 12508 + }, + { + "epoch": 0.85, + "learning_rate": 5.700443726836025e-07, + "loss": 0.6915, + "step": 12509 + }, + { + "epoch": 0.85, + "learning_rate": 5.69533550325988e-07, + "loss": 0.7838, + "step": 12510 + }, + { + "epoch": 0.85, + "learning_rate": 5.690229431245519e-07, + "loss": 0.935, + "step": 12511 + }, + { + "epoch": 0.85, + "learning_rate": 5.685125511040917e-07, + "loss": 0.5328, + "step": 12512 + }, + { + "epoch": 0.85, + "learning_rate": 5.680023742893926e-07, + "loss": 0.7481, + "step": 12513 + }, + { + "epoch": 0.85, + "learning_rate": 5.674924127052306e-07, + "loss": 0.6506, + "step": 12514 + }, + { + "epoch": 0.85, + "learning_rate": 5.669826663763706e-07, + "loss": 0.622, + "step": 12515 + }, + { + "epoch": 0.85, + "learning_rate": 5.664731353275676e-07, + "loss": 0.5868, + "step": 12516 + }, + { + "epoch": 0.85, + "learning_rate": 5.659638195835671e-07, + "loss": 0.896, + "step": 12517 + }, + { + "epoch": 0.85, + "learning_rate": 5.654547191690995e-07, + "loss": 0.579, + "step": 12518 + }, + { + "epoch": 0.85, + "learning_rate": 5.649458341088915e-07, + "loss": 0.5007, + "step": 12519 + }, + { + "epoch": 0.85, + "learning_rate": 5.644371644276558e-07, + "loss": 0.7632, + "step": 12520 + }, + { + "epoch": 0.85, + "learning_rate": 5.639287101500923e-07, + "loss": 0.7712, + "step": 12521 + }, + { + "epoch": 0.85, + "learning_rate": 5.63420471300895e-07, + "loss": 0.6848, + "step": 12522 + }, + { + "epoch": 0.85, + "learning_rate": 5.629124479047466e-07, + "loss": 1.0424, + "step": 12523 + }, + { + "epoch": 0.85, + "learning_rate": 5.624046399863148e-07, + "loss": 0.6656, + "step": 12524 + }, + { + "epoch": 0.85, + "learning_rate": 5.618970475702629e-07, + "loss": 0.7556, + "step": 12525 + }, + { + "epoch": 0.85, + "learning_rate": 5.61389670681241e-07, + "loss": 0.7848, + "step": 12526 + }, + { + "epoch": 0.85, + "learning_rate": 5.608825093438863e-07, + "loss": 0.7938, + "step": 12527 + }, + { + "epoch": 0.85, + "learning_rate": 5.603755635828318e-07, + "loss": 0.6676, + "step": 12528 + }, + { + "epoch": 0.85, + "learning_rate": 5.598688334226926e-07, + "loss": 0.6519, + "step": 12529 + }, + { + "epoch": 0.85, + "learning_rate": 5.593623188880781e-07, + "loss": 0.7743, + "step": 12530 + }, + { + "epoch": 0.85, + "learning_rate": 5.588560200035886e-07, + "loss": 0.7138, + "step": 12531 + }, + { + "epoch": 0.85, + "learning_rate": 5.583499367938077e-07, + "loss": 0.638, + "step": 12532 + }, + { + "epoch": 0.85, + "learning_rate": 5.578440692833137e-07, + "loss": 0.6199, + "step": 12533 + }, + { + "epoch": 0.85, + "learning_rate": 5.573384174966751e-07, + "loss": 0.7265, + "step": 12534 + }, + { + "epoch": 0.85, + "learning_rate": 5.568329814584444e-07, + "loss": 0.8119, + "step": 12535 + }, + { + "epoch": 0.85, + "learning_rate": 5.563277611931689e-07, + "loss": 0.6013, + "step": 12536 + }, + { + "epoch": 0.85, + "learning_rate": 5.558227567253832e-07, + "loss": 0.5607, + "step": 12537 + }, + { + "epoch": 0.85, + "learning_rate": 5.553179680796117e-07, + "loss": 0.5804, + "step": 12538 + }, + { + "epoch": 0.85, + "learning_rate": 5.548133952803681e-07, + "loss": 0.7274, + "step": 12539 + }, + { + "epoch": 0.85, + "learning_rate": 5.543090383521566e-07, + "loss": 0.6176, + "step": 12540 + }, + { + "epoch": 0.85, + "learning_rate": 5.538048973194699e-07, + "loss": 0.7528, + "step": 12541 + }, + { + "epoch": 0.85, + "learning_rate": 5.533009722067901e-07, + "loss": 0.5734, + "step": 12542 + }, + { + "epoch": 0.85, + "learning_rate": 5.527972630385897e-07, + "loss": 0.8383, + "step": 12543 + }, + { + "epoch": 0.85, + "learning_rate": 5.522937698393305e-07, + "loss": 1.0086, + "step": 12544 + }, + { + "epoch": 0.85, + "learning_rate": 5.517904926334644e-07, + "loss": 0.4914, + "step": 12545 + }, + { + "epoch": 0.85, + "learning_rate": 5.512874314454286e-07, + "loss": 0.7367, + "step": 12546 + }, + { + "epoch": 0.85, + "learning_rate": 5.507845862996564e-07, + "loss": 0.657, + "step": 12547 + }, + { + "epoch": 0.85, + "learning_rate": 5.502819572205675e-07, + "loss": 0.6687, + "step": 12548 + }, + { + "epoch": 0.85, + "learning_rate": 5.497795442325682e-07, + "loss": 0.5707, + "step": 12549 + }, + { + "epoch": 0.85, + "learning_rate": 5.492773473600599e-07, + "loss": 0.4824, + "step": 12550 + }, + { + "epoch": 0.85, + "learning_rate": 5.487753666274309e-07, + "loss": 0.9002, + "step": 12551 + }, + { + "epoch": 0.85, + "learning_rate": 5.482736020590551e-07, + "loss": 0.5106, + "step": 12552 + }, + { + "epoch": 0.85, + "learning_rate": 5.477720536793035e-07, + "loss": 0.7893, + "step": 12553 + }, + { + "epoch": 0.85, + "learning_rate": 5.472707215125328e-07, + "loss": 0.8683, + "step": 12554 + }, + { + "epoch": 0.85, + "learning_rate": 5.467696055830862e-07, + "loss": 0.9234, + "step": 12555 + }, + { + "epoch": 0.85, + "learning_rate": 5.46268705915301e-07, + "loss": 0.7832, + "step": 12556 + }, + { + "epoch": 0.85, + "learning_rate": 5.457680225335022e-07, + "loss": 0.7292, + "step": 12557 + }, + { + "epoch": 0.85, + "learning_rate": 5.452675554620046e-07, + "loss": 0.5681, + "step": 12558 + }, + { + "epoch": 0.85, + "learning_rate": 5.447673047251117e-07, + "loss": 0.7246, + "step": 12559 + }, + { + "epoch": 0.85, + "learning_rate": 5.44267270347118e-07, + "loss": 0.6368, + "step": 12560 + }, + { + "epoch": 0.85, + "learning_rate": 5.437674523523056e-07, + "loss": 0.8478, + "step": 12561 + }, + { + "epoch": 0.85, + "learning_rate": 5.432678507649486e-07, + "loss": 0.5093, + "step": 12562 + }, + { + "epoch": 0.85, + "learning_rate": 5.427684656093074e-07, + "loss": 0.878, + "step": 12563 + }, + { + "epoch": 0.85, + "learning_rate": 5.422692969096344e-07, + "loss": 0.4295, + "step": 12564 + }, + { + "epoch": 0.85, + "learning_rate": 5.417703446901706e-07, + "loss": 0.8246, + "step": 12565 + }, + { + "epoch": 0.85, + "learning_rate": 5.412716089751468e-07, + "loss": 0.786, + "step": 12566 + }, + { + "epoch": 0.86, + "learning_rate": 5.407730897887831e-07, + "loss": 0.7282, + "step": 12567 + }, + { + "epoch": 0.86, + "learning_rate": 5.402747871552877e-07, + "loss": 0.8495, + "step": 12568 + }, + { + "epoch": 0.86, + "learning_rate": 5.397767010988614e-07, + "loss": 0.8464, + "step": 12569 + }, + { + "epoch": 0.86, + "learning_rate": 5.39278831643692e-07, + "loss": 0.7638, + "step": 12570 + }, + { + "epoch": 0.86, + "learning_rate": 5.387811788139569e-07, + "loss": 0.9566, + "step": 12571 + }, + { + "epoch": 0.86, + "learning_rate": 5.382837426338238e-07, + "loss": 0.7092, + "step": 12572 + }, + { + "epoch": 0.86, + "learning_rate": 5.377865231274504e-07, + "loss": 0.5006, + "step": 12573 + }, + { + "epoch": 0.86, + "learning_rate": 5.372895203189837e-07, + "loss": 0.8941, + "step": 12574 + }, + { + "epoch": 0.86, + "learning_rate": 5.367927342325558e-07, + "loss": 0.4735, + "step": 12575 + }, + { + "epoch": 0.86, + "learning_rate": 5.362961648922971e-07, + "loss": 0.3697, + "step": 12576 + }, + { + "epoch": 0.86, + "learning_rate": 5.35799812322319e-07, + "loss": 0.5834, + "step": 12577 + }, + { + "epoch": 0.86, + "learning_rate": 5.353036765467262e-07, + "loss": 0.524, + "step": 12578 + }, + { + "epoch": 0.86, + "learning_rate": 5.348077575896149e-07, + "loss": 0.4399, + "step": 12579 + }, + { + "epoch": 0.86, + "learning_rate": 5.343120554750652e-07, + "loss": 0.5005, + "step": 12580 + }, + { + "epoch": 0.86, + "learning_rate": 5.338165702271503e-07, + "loss": 0.458, + "step": 12581 + }, + { + "epoch": 0.86, + "learning_rate": 5.333213018699357e-07, + "loss": 0.7133, + "step": 12582 + }, + { + "epoch": 0.86, + "learning_rate": 5.328262504274695e-07, + "loss": 0.8069, + "step": 12583 + }, + { + "epoch": 0.86, + "learning_rate": 5.323314159237935e-07, + "loss": 0.7563, + "step": 12584 + }, + { + "epoch": 0.86, + "learning_rate": 5.318367983829393e-07, + "loss": 0.8807, + "step": 12585 + }, + { + "epoch": 0.86, + "learning_rate": 5.313423978289262e-07, + "loss": 0.7153, + "step": 12586 + }, + { + "epoch": 0.86, + "learning_rate": 5.308482142857635e-07, + "loss": 0.6026, + "step": 12587 + }, + { + "epoch": 0.86, + "learning_rate": 5.30354247777451e-07, + "loss": 0.6849, + "step": 12588 + }, + { + "epoch": 0.86, + "learning_rate": 5.29860498327977e-07, + "loss": 0.7152, + "step": 12589 + }, + { + "epoch": 0.86, + "learning_rate": 5.293669659613187e-07, + "loss": 0.8756, + "step": 12590 + }, + { + "epoch": 0.86, + "learning_rate": 5.288736507014436e-07, + "loss": 0.9359, + "step": 12591 + }, + { + "epoch": 0.86, + "learning_rate": 5.28380552572309e-07, + "loss": 0.7207, + "step": 12592 + }, + { + "epoch": 0.86, + "learning_rate": 5.27887671597862e-07, + "loss": 0.7427, + "step": 12593 + }, + { + "epoch": 0.86, + "learning_rate": 5.273950078020357e-07, + "loss": 0.7385, + "step": 12594 + }, + { + "epoch": 0.86, + "learning_rate": 5.269025612087569e-07, + "loss": 0.9145, + "step": 12595 + }, + { + "epoch": 0.86, + "learning_rate": 5.264103318419417e-07, + "loss": 0.6669, + "step": 12596 + }, + { + "epoch": 0.86, + "learning_rate": 5.259183197254903e-07, + "loss": 0.6088, + "step": 12597 + }, + { + "epoch": 0.86, + "learning_rate": 5.254265248832996e-07, + "loss": 0.6558, + "step": 12598 + }, + { + "epoch": 0.86, + "learning_rate": 5.249349473392529e-07, + "loss": 0.7176, + "step": 12599 + }, + { + "epoch": 0.86, + "learning_rate": 5.244435871172188e-07, + "loss": 0.7008, + "step": 12600 + }, + { + "epoch": 0.86, + "learning_rate": 5.239524442410627e-07, + "loss": 0.6559, + "step": 12601 + }, + { + "epoch": 0.86, + "learning_rate": 5.234615187346354e-07, + "loss": 0.7865, + "step": 12602 + }, + { + "epoch": 0.86, + "learning_rate": 5.229708106217751e-07, + "loss": 0.8433, + "step": 12603 + }, + { + "epoch": 0.86, + "learning_rate": 5.224803199263162e-07, + "loss": 0.7014, + "step": 12604 + }, + { + "epoch": 0.86, + "learning_rate": 5.21990046672075e-07, + "loss": 0.4983, + "step": 12605 + }, + { + "epoch": 0.86, + "learning_rate": 5.214999908828605e-07, + "loss": 0.7698, + "step": 12606 + }, + { + "epoch": 0.86, + "learning_rate": 5.210101525824745e-07, + "loss": 0.6664, + "step": 12607 + }, + { + "epoch": 0.86, + "learning_rate": 5.205205317947021e-07, + "loss": 0.7183, + "step": 12608 + }, + { + "epoch": 0.86, + "learning_rate": 5.200311285433213e-07, + "loss": 0.7027, + "step": 12609 + }, + { + "epoch": 0.86, + "learning_rate": 5.195419428520987e-07, + "loss": 0.5919, + "step": 12610 + }, + { + "epoch": 0.86, + "learning_rate": 5.190529747447909e-07, + "loss": 0.6431, + "step": 12611 + }, + { + "epoch": 0.86, + "learning_rate": 5.185642242451439e-07, + "loss": 0.9305, + "step": 12612 + }, + { + "epoch": 0.86, + "learning_rate": 5.180756913768925e-07, + "loss": 1.0273, + "step": 12613 + }, + { + "epoch": 0.86, + "learning_rate": 5.175873761637612e-07, + "loss": 0.633, + "step": 12614 + }, + { + "epoch": 0.86, + "learning_rate": 5.170992786294638e-07, + "loss": 0.679, + "step": 12615 + }, + { + "epoch": 0.86, + "learning_rate": 5.16611398797704e-07, + "loss": 0.5638, + "step": 12616 + }, + { + "epoch": 0.86, + "learning_rate": 5.16123736692175e-07, + "loss": 0.8661, + "step": 12617 + }, + { + "epoch": 0.86, + "learning_rate": 5.156362923365587e-07, + "loss": 0.6999, + "step": 12618 + }, + { + "epoch": 0.86, + "learning_rate": 5.151490657545266e-07, + "loss": 0.7488, + "step": 12619 + }, + { + "epoch": 0.86, + "learning_rate": 5.146620569697403e-07, + "loss": 0.6954, + "step": 12620 + }, + { + "epoch": 0.86, + "learning_rate": 5.141752660058508e-07, + "loss": 0.7986, + "step": 12621 + }, + { + "epoch": 0.86, + "learning_rate": 5.136886928864954e-07, + "loss": 0.5362, + "step": 12622 + }, + { + "epoch": 0.86, + "learning_rate": 5.132023376353063e-07, + "loss": 0.6014, + "step": 12623 + }, + { + "epoch": 0.86, + "learning_rate": 5.127162002759023e-07, + "loss": 0.6301, + "step": 12624 + }, + { + "epoch": 0.86, + "learning_rate": 5.12230280831889e-07, + "loss": 0.6851, + "step": 12625 + }, + { + "epoch": 0.86, + "learning_rate": 5.117445793268672e-07, + "loss": 0.6121, + "step": 12626 + }, + { + "epoch": 0.86, + "learning_rate": 5.112590957844233e-07, + "loss": 0.7083, + "step": 12627 + }, + { + "epoch": 0.86, + "learning_rate": 5.107738302281318e-07, + "loss": 0.7528, + "step": 12628 + }, + { + "epoch": 0.86, + "learning_rate": 5.102887826815589e-07, + "loss": 0.6473, + "step": 12629 + }, + { + "epoch": 0.86, + "learning_rate": 5.09803953168263e-07, + "loss": 0.5631, + "step": 12630 + }, + { + "epoch": 0.86, + "learning_rate": 5.093193417117853e-07, + "loss": 0.4963, + "step": 12631 + }, + { + "epoch": 0.86, + "learning_rate": 5.088349483356619e-07, + "loss": 0.5521, + "step": 12632 + }, + { + "epoch": 0.86, + "learning_rate": 5.083507730634152e-07, + "loss": 0.7535, + "step": 12633 + }, + { + "epoch": 0.86, + "learning_rate": 5.07866815918559e-07, + "loss": 0.5503, + "step": 12634 + }, + { + "epoch": 0.86, + "learning_rate": 5.073830769245946e-07, + "loss": 0.8818, + "step": 12635 + }, + { + "epoch": 0.86, + "learning_rate": 5.068995561050155e-07, + "loss": 0.8311, + "step": 12636 + }, + { + "epoch": 0.86, + "learning_rate": 5.064162534833011e-07, + "loss": 0.7001, + "step": 12637 + }, + { + "epoch": 0.86, + "learning_rate": 5.059331690829228e-07, + "loss": 0.7664, + "step": 12638 + }, + { + "epoch": 0.86, + "learning_rate": 5.054503029273406e-07, + "loss": 0.6499, + "step": 12639 + }, + { + "epoch": 0.86, + "learning_rate": 5.049676550400035e-07, + "loss": 0.6609, + "step": 12640 + }, + { + "epoch": 0.86, + "learning_rate": 5.044852254443505e-07, + "loss": 0.7598, + "step": 12641 + }, + { + "epoch": 0.86, + "learning_rate": 5.040030141638102e-07, + "loss": 0.5746, + "step": 12642 + }, + { + "epoch": 0.86, + "learning_rate": 5.035210212217989e-07, + "loss": 0.9431, + "step": 12643 + }, + { + "epoch": 0.86, + "learning_rate": 5.03039246641725e-07, + "loss": 0.8922, + "step": 12644 + }, + { + "epoch": 0.86, + "learning_rate": 5.025576904469842e-07, + "loss": 0.6372, + "step": 12645 + }, + { + "epoch": 0.86, + "learning_rate": 5.020763526609624e-07, + "loss": 0.6259, + "step": 12646 + }, + { + "epoch": 0.86, + "learning_rate": 5.015952333070351e-07, + "loss": 0.7183, + "step": 12647 + }, + { + "epoch": 0.86, + "learning_rate": 5.011143324085649e-07, + "loss": 0.7068, + "step": 12648 + }, + { + "epoch": 0.86, + "learning_rate": 5.006336499889075e-07, + "loss": 0.6438, + "step": 12649 + }, + { + "epoch": 0.86, + "learning_rate": 5.001531860714076e-07, + "loss": 0.6604, + "step": 12650 + }, + { + "epoch": 0.86, + "learning_rate": 4.996729406793943e-07, + "loss": 0.4574, + "step": 12651 + }, + { + "epoch": 0.86, + "learning_rate": 4.991929138361929e-07, + "loss": 0.7371, + "step": 12652 + }, + { + "epoch": 0.86, + "learning_rate": 4.987131055651135e-07, + "loss": 0.7613, + "step": 12653 + }, + { + "epoch": 0.86, + "learning_rate": 4.982335158894552e-07, + "loss": 0.9111, + "step": 12654 + }, + { + "epoch": 0.86, + "learning_rate": 4.977541448325124e-07, + "loss": 0.5479, + "step": 12655 + }, + { + "epoch": 0.86, + "learning_rate": 4.972749924175618e-07, + "loss": 1.0121, + "step": 12656 + }, + { + "epoch": 0.86, + "learning_rate": 4.967960586678722e-07, + "loss": 0.6562, + "step": 12657 + }, + { + "epoch": 0.86, + "learning_rate": 4.963173436067042e-07, + "loss": 0.4831, + "step": 12658 + }, + { + "epoch": 0.86, + "learning_rate": 4.958388472573034e-07, + "loss": 0.6766, + "step": 12659 + }, + { + "epoch": 0.86, + "learning_rate": 4.953605696429081e-07, + "loss": 0.701, + "step": 12660 + }, + { + "epoch": 0.86, + "learning_rate": 4.948825107867444e-07, + "loss": 0.8789, + "step": 12661 + }, + { + "epoch": 0.86, + "learning_rate": 4.944046707120287e-07, + "loss": 0.3943, + "step": 12662 + }, + { + "epoch": 0.86, + "learning_rate": 4.939270494419657e-07, + "loss": 0.7469, + "step": 12663 + }, + { + "epoch": 0.86, + "learning_rate": 4.934496469997501e-07, + "loss": 0.8425, + "step": 12664 + }, + { + "epoch": 0.86, + "learning_rate": 4.929724634085664e-07, + "loss": 0.6077, + "step": 12665 + }, + { + "epoch": 0.86, + "learning_rate": 4.924954986915875e-07, + "loss": 0.7563, + "step": 12666 + }, + { + "epoch": 0.86, + "learning_rate": 4.920187528719766e-07, + "loss": 0.6244, + "step": 12667 + }, + { + "epoch": 0.86, + "learning_rate": 4.915422259728858e-07, + "loss": 0.6191, + "step": 12668 + }, + { + "epoch": 0.86, + "learning_rate": 4.910659180174571e-07, + "loss": 0.9629, + "step": 12669 + }, + { + "epoch": 0.86, + "learning_rate": 4.905898290288191e-07, + "loss": 0.5694, + "step": 12670 + }, + { + "epoch": 0.86, + "learning_rate": 4.901139590300947e-07, + "loss": 0.7618, + "step": 12671 + }, + { + "epoch": 0.86, + "learning_rate": 4.896383080443934e-07, + "loss": 0.7376, + "step": 12672 + }, + { + "epoch": 0.86, + "learning_rate": 4.891628760948114e-07, + "loss": 0.8033, + "step": 12673 + }, + { + "epoch": 0.86, + "learning_rate": 4.886876632044402e-07, + "loss": 0.6634, + "step": 12674 + }, + { + "epoch": 0.86, + "learning_rate": 4.882126693963568e-07, + "loss": 0.7721, + "step": 12675 + }, + { + "epoch": 0.86, + "learning_rate": 4.877378946936262e-07, + "loss": 0.4162, + "step": 12676 + }, + { + "epoch": 0.86, + "learning_rate": 4.872633391193066e-07, + "loss": 0.7214, + "step": 12677 + }, + { + "epoch": 0.86, + "learning_rate": 4.867890026964451e-07, + "loss": 0.7364, + "step": 12678 + }, + { + "epoch": 0.86, + "learning_rate": 4.863148854480731e-07, + "loss": 0.4592, + "step": 12679 + }, + { + "epoch": 0.86, + "learning_rate": 4.858409873972192e-07, + "loss": 0.9182, + "step": 12680 + }, + { + "epoch": 0.86, + "learning_rate": 4.853673085668947e-07, + "loss": 0.5875, + "step": 12681 + }, + { + "epoch": 0.86, + "learning_rate": 4.84893848980102e-07, + "loss": 0.8871, + "step": 12682 + }, + { + "epoch": 0.86, + "learning_rate": 4.844206086598368e-07, + "loss": 0.7876, + "step": 12683 + }, + { + "epoch": 0.86, + "learning_rate": 4.839475876290788e-07, + "loss": 0.7046, + "step": 12684 + }, + { + "epoch": 0.86, + "learning_rate": 4.834747859107996e-07, + "loss": 0.5235, + "step": 12685 + }, + { + "epoch": 0.86, + "learning_rate": 4.830022035279602e-07, + "loss": 0.6861, + "step": 12686 + }, + { + "epoch": 0.86, + "learning_rate": 4.8252984050351e-07, + "loss": 0.7074, + "step": 12687 + }, + { + "epoch": 0.86, + "learning_rate": 4.820576968603885e-07, + "loss": 0.7407, + "step": 12688 + }, + { + "epoch": 0.86, + "learning_rate": 4.815857726215251e-07, + "loss": 0.5627, + "step": 12689 + }, + { + "epoch": 0.86, + "learning_rate": 4.811140678098364e-07, + "loss": 0.7514, + "step": 12690 + }, + { + "epoch": 0.86, + "learning_rate": 4.806425824482308e-07, + "loss": 0.5573, + "step": 12691 + }, + { + "epoch": 0.86, + "learning_rate": 4.80171316559605e-07, + "loss": 0.6609, + "step": 12692 + }, + { + "epoch": 0.86, + "learning_rate": 4.797002701668441e-07, + "loss": 0.6453, + "step": 12693 + }, + { + "epoch": 0.86, + "learning_rate": 4.792294432928247e-07, + "loss": 0.6108, + "step": 12694 + }, + { + "epoch": 0.86, + "learning_rate": 4.787588359604106e-07, + "loss": 0.912, + "step": 12695 + }, + { + "epoch": 0.86, + "learning_rate": 4.78288448192456e-07, + "loss": 0.5121, + "step": 12696 + }, + { + "epoch": 0.86, + "learning_rate": 4.778182800118053e-07, + "loss": 1.0081, + "step": 12697 + }, + { + "epoch": 0.86, + "learning_rate": 4.773483314412886e-07, + "loss": 0.8299, + "step": 12698 + }, + { + "epoch": 0.86, + "learning_rate": 4.768786025037308e-07, + "loss": 0.7363, + "step": 12699 + }, + { + "epoch": 0.86, + "learning_rate": 4.7640909322194286e-07, + "loss": 0.568, + "step": 12700 + }, + { + "epoch": 0.86, + "learning_rate": 4.7593980361872293e-07, + "loss": 0.7654, + "step": 12701 + }, + { + "epoch": 0.86, + "learning_rate": 4.75470733716864e-07, + "loss": 0.5495, + "step": 12702 + }, + { + "epoch": 0.86, + "learning_rate": 4.750018835391451e-07, + "loss": 1.0807, + "step": 12703 + }, + { + "epoch": 0.86, + "learning_rate": 4.7453325310833355e-07, + "loss": 0.9747, + "step": 12704 + }, + { + "epoch": 0.86, + "learning_rate": 4.740648424471872e-07, + "loss": 0.813, + "step": 12705 + }, + { + "epoch": 0.86, + "learning_rate": 4.7359665157845625e-07, + "loss": 0.731, + "step": 12706 + }, + { + "epoch": 0.86, + "learning_rate": 4.7312868052487416e-07, + "loss": 0.7424, + "step": 12707 + }, + { + "epoch": 0.86, + "learning_rate": 4.726609293091683e-07, + "loss": 0.5485, + "step": 12708 + }, + { + "epoch": 0.86, + "learning_rate": 4.7219339795405385e-07, + "loss": 0.9297, + "step": 12709 + }, + { + "epoch": 0.86, + "learning_rate": 4.7172608648223597e-07, + "loss": 1.0066, + "step": 12710 + }, + { + "epoch": 0.86, + "learning_rate": 4.712589949164076e-07, + "loss": 0.7199, + "step": 12711 + }, + { + "epoch": 0.86, + "learning_rate": 4.707921232792534e-07, + "loss": 0.5608, + "step": 12712 + }, + { + "epoch": 0.86, + "learning_rate": 4.7032547159344466e-07, + "loss": 0.6902, + "step": 12713 + }, + { + "epoch": 0.87, + "learning_rate": 4.6985903988164436e-07, + "loss": 0.5617, + "step": 12714 + }, + { + "epoch": 0.87, + "learning_rate": 4.693928281665033e-07, + "loss": 0.4276, + "step": 12715 + }, + { + "epoch": 0.87, + "learning_rate": 4.689268364706617e-07, + "loss": 0.4383, + "step": 12716 + }, + { + "epoch": 0.87, + "learning_rate": 4.6846106481675035e-07, + "loss": 0.7776, + "step": 12717 + }, + { + "epoch": 0.87, + "learning_rate": 4.679955132273878e-07, + "loss": 0.6958, + "step": 12718 + }, + { + "epoch": 0.87, + "learning_rate": 4.675301817251826e-07, + "loss": 0.4966, + "step": 12719 + }, + { + "epoch": 0.87, + "learning_rate": 4.6706507033273283e-07, + "loss": 0.9291, + "step": 12720 + }, + { + "epoch": 0.87, + "learning_rate": 4.66600179072626e-07, + "loss": 0.908, + "step": 12721 + }, + { + "epoch": 0.87, + "learning_rate": 4.661355079674379e-07, + "loss": 0.5215, + "step": 12722 + }, + { + "epoch": 0.87, + "learning_rate": 4.6567105703973493e-07, + "loss": 0.7442, + "step": 12723 + }, + { + "epoch": 0.87, + "learning_rate": 4.652068263120702e-07, + "loss": 0.6212, + "step": 12724 + }, + { + "epoch": 0.87, + "learning_rate": 4.6474281580699054e-07, + "loss": 0.4919, + "step": 12725 + }, + { + "epoch": 0.87, + "learning_rate": 4.6427902554702974e-07, + "loss": 0.7783, + "step": 12726 + }, + { + "epoch": 0.87, + "learning_rate": 4.6381545555470807e-07, + "loss": 0.8198, + "step": 12727 + }, + { + "epoch": 0.87, + "learning_rate": 4.633521058525409e-07, + "loss": 0.4892, + "step": 12728 + }, + { + "epoch": 0.87, + "learning_rate": 4.628889764630279e-07, + "loss": 0.945, + "step": 12729 + }, + { + "epoch": 0.87, + "learning_rate": 4.624260674086589e-07, + "loss": 0.5833, + "step": 12730 + }, + { + "epoch": 0.87, + "learning_rate": 4.6196337871191824e-07, + "loss": 0.563, + "step": 12731 + }, + { + "epoch": 0.87, + "learning_rate": 4.615009103952717e-07, + "loss": 0.7481, + "step": 12732 + }, + { + "epoch": 0.87, + "learning_rate": 4.610386624811786e-07, + "loss": 0.8375, + "step": 12733 + }, + { + "epoch": 0.87, + "learning_rate": 4.605766349920893e-07, + "loss": 0.7406, + "step": 12734 + }, + { + "epoch": 0.87, + "learning_rate": 4.601148279504386e-07, + "loss": 0.8317, + "step": 12735 + }, + { + "epoch": 0.87, + "learning_rate": 4.5965324137865366e-07, + "loss": 0.9909, + "step": 12736 + }, + { + "epoch": 0.87, + "learning_rate": 4.5919187529915144e-07, + "loss": 0.7698, + "step": 12737 + }, + { + "epoch": 0.87, + "learning_rate": 4.5873072973433683e-07, + "loss": 0.8658, + "step": 12738 + }, + { + "epoch": 0.87, + "learning_rate": 4.5826980470660364e-07, + "loss": 0.6672, + "step": 12739 + }, + { + "epoch": 0.87, + "learning_rate": 4.578091002383367e-07, + "loss": 0.8715, + "step": 12740 + }, + { + "epoch": 0.87, + "learning_rate": 4.5734861635190864e-07, + "loss": 0.9389, + "step": 12741 + }, + { + "epoch": 0.87, + "learning_rate": 4.5688835306968214e-07, + "loss": 0.7659, + "step": 12742 + }, + { + "epoch": 0.87, + "learning_rate": 4.564283104140088e-07, + "loss": 0.9415, + "step": 12743 + }, + { + "epoch": 0.87, + "learning_rate": 4.559684884072291e-07, + "loss": 0.5336, + "step": 12744 + }, + { + "epoch": 0.87, + "learning_rate": 4.5550888707167505e-07, + "loss": 0.8204, + "step": 12745 + }, + { + "epoch": 0.87, + "learning_rate": 4.5504950642966286e-07, + "loss": 0.6668, + "step": 12746 + }, + { + "epoch": 0.87, + "learning_rate": 4.5459034650350453e-07, + "loss": 0.5532, + "step": 12747 + }, + { + "epoch": 0.87, + "learning_rate": 4.541314073154984e-07, + "loss": 0.9499, + "step": 12748 + }, + { + "epoch": 0.87, + "learning_rate": 4.5367268888792835e-07, + "loss": 0.8722, + "step": 12749 + }, + { + "epoch": 0.87, + "learning_rate": 4.532141912430743e-07, + "loss": 0.8988, + "step": 12750 + }, + { + "epoch": 0.87, + "learning_rate": 4.5275591440320175e-07, + "loss": 0.6121, + "step": 12751 + }, + { + "epoch": 0.87, + "learning_rate": 4.5229785839056404e-07, + "loss": 0.784, + "step": 12752 + }, + { + "epoch": 0.87, + "learning_rate": 4.5184002322740784e-07, + "loss": 0.431, + "step": 12753 + }, + { + "epoch": 0.87, + "learning_rate": 4.5138240893596697e-07, + "loss": 0.5533, + "step": 12754 + }, + { + "epoch": 0.87, + "learning_rate": 4.50925015538462e-07, + "loss": 0.4871, + "step": 12755 + }, + { + "epoch": 0.87, + "learning_rate": 4.5046784305710854e-07, + "loss": 0.9119, + "step": 12756 + }, + { + "epoch": 0.87, + "learning_rate": 4.5001089151410606e-07, + "loss": 1.0775, + "step": 12757 + }, + { + "epoch": 0.87, + "learning_rate": 4.495541609316456e-07, + "loss": 0.7128, + "step": 12758 + }, + { + "epoch": 0.87, + "learning_rate": 4.4909765133190787e-07, + "loss": 0.7128, + "step": 12759 + }, + { + "epoch": 0.87, + "learning_rate": 4.486413627370623e-07, + "loss": 0.8143, + "step": 12760 + }, + { + "epoch": 0.87, + "learning_rate": 4.481852951692672e-07, + "loss": 0.9355, + "step": 12761 + }, + { + "epoch": 0.87, + "learning_rate": 4.477294486506706e-07, + "loss": 0.8101, + "step": 12762 + }, + { + "epoch": 0.87, + "learning_rate": 4.472738232034096e-07, + "loss": 0.6283, + "step": 12763 + }, + { + "epoch": 0.87, + "learning_rate": 4.4681841884961164e-07, + "loss": 0.6742, + "step": 12764 + }, + { + "epoch": 0.87, + "learning_rate": 4.4636323561139115e-07, + "loss": 0.6018, + "step": 12765 + }, + { + "epoch": 0.87, + "learning_rate": 4.4590827351085386e-07, + "loss": 0.6801, + "step": 12766 + }, + { + "epoch": 0.87, + "learning_rate": 4.4545353257009373e-07, + "loss": 0.8721, + "step": 12767 + }, + { + "epoch": 0.87, + "learning_rate": 4.449990128111947e-07, + "loss": 0.8832, + "step": 12768 + }, + { + "epoch": 0.87, + "learning_rate": 4.4454471425622925e-07, + "loss": 0.5088, + "step": 12769 + }, + { + "epoch": 0.87, + "learning_rate": 4.4409063692725907e-07, + "loss": 0.8677, + "step": 12770 + }, + { + "epoch": 0.87, + "learning_rate": 4.43636780846336e-07, + "loss": 0.6573, + "step": 12771 + }, + { + "epoch": 0.87, + "learning_rate": 4.4318314603550074e-07, + "loss": 0.8081, + "step": 12772 + }, + { + "epoch": 0.87, + "learning_rate": 4.42729732516784e-07, + "loss": 0.7972, + "step": 12773 + }, + { + "epoch": 0.87, + "learning_rate": 4.422765403122015e-07, + "loss": 0.8591, + "step": 12774 + }, + { + "epoch": 0.87, + "learning_rate": 4.418235694437645e-07, + "loss": 0.7963, + "step": 12775 + }, + { + "epoch": 0.87, + "learning_rate": 4.4137081993347043e-07, + "loss": 0.6622, + "step": 12776 + }, + { + "epoch": 0.87, + "learning_rate": 4.4091829180330503e-07, + "loss": 0.5168, + "step": 12777 + }, + { + "epoch": 0.87, + "learning_rate": 4.4046598507524354e-07, + "loss": 0.6751, + "step": 12778 + }, + { + "epoch": 0.87, + "learning_rate": 4.400138997712544e-07, + "loss": 0.6759, + "step": 12779 + }, + { + "epoch": 0.87, + "learning_rate": 4.3956203591328963e-07, + "loss": 0.8673, + "step": 12780 + }, + { + "epoch": 0.87, + "learning_rate": 4.3911039352329263e-07, + "loss": 0.6539, + "step": 12781 + }, + { + "epoch": 0.87, + "learning_rate": 4.386589726231999e-07, + "loss": 0.565, + "step": 12782 + }, + { + "epoch": 0.87, + "learning_rate": 4.382077732349299e-07, + "loss": 0.7402, + "step": 12783 + }, + { + "epoch": 0.87, + "learning_rate": 4.377567953803957e-07, + "loss": 0.8208, + "step": 12784 + }, + { + "epoch": 0.87, + "learning_rate": 4.373060390814976e-07, + "loss": 0.7857, + "step": 12785 + }, + { + "epoch": 0.87, + "learning_rate": 4.368555043601269e-07, + "loss": 0.7764, + "step": 12786 + }, + { + "epoch": 0.87, + "learning_rate": 4.3640519123816115e-07, + "loss": 0.5161, + "step": 12787 + }, + { + "epoch": 0.87, + "learning_rate": 4.359550997374701e-07, + "loss": 0.7206, + "step": 12788 + }, + { + "epoch": 0.87, + "learning_rate": 4.355052298799112e-07, + "loss": 0.7988, + "step": 12789 + }, + { + "epoch": 0.87, + "learning_rate": 4.3505558168733086e-07, + "loss": 0.5349, + "step": 12790 + }, + { + "epoch": 0.87, + "learning_rate": 4.3460615518156614e-07, + "loss": 0.648, + "step": 12791 + }, + { + "epoch": 0.87, + "learning_rate": 4.341569503844423e-07, + "loss": 0.5859, + "step": 12792 + }, + { + "epoch": 0.87, + "learning_rate": 4.33707967317773e-07, + "loss": 0.8576, + "step": 12793 + }, + { + "epoch": 0.87, + "learning_rate": 4.3325920600336355e-07, + "loss": 0.6496, + "step": 12794 + }, + { + "epoch": 0.87, + "learning_rate": 4.3281066646300605e-07, + "loss": 0.6722, + "step": 12795 + }, + { + "epoch": 0.87, + "learning_rate": 4.323623487184847e-07, + "loss": 0.4373, + "step": 12796 + }, + { + "epoch": 0.87, + "learning_rate": 4.319142527915676e-07, + "loss": 0.7628, + "step": 12797 + }, + { + "epoch": 0.87, + "learning_rate": 4.314663787040185e-07, + "loss": 0.5064, + "step": 12798 + }, + { + "epoch": 0.87, + "learning_rate": 4.310187264775878e-07, + "loss": 0.7409, + "step": 12799 + }, + { + "epoch": 0.87, + "learning_rate": 4.3057129613401137e-07, + "loss": 0.7845, + "step": 12800 + }, + { + "epoch": 0.87, + "learning_rate": 4.3012408769502134e-07, + "loss": 0.614, + "step": 12801 + }, + { + "epoch": 0.87, + "learning_rate": 4.2967710118233473e-07, + "loss": 0.6149, + "step": 12802 + }, + { + "epoch": 0.87, + "learning_rate": 4.292303366176559e-07, + "loss": 0.4256, + "step": 12803 + }, + { + "epoch": 0.87, + "learning_rate": 4.2878379402268466e-07, + "loss": 0.5837, + "step": 12804 + }, + { + "epoch": 0.87, + "learning_rate": 4.283374734191037e-07, + "loss": 0.8658, + "step": 12805 + }, + { + "epoch": 0.87, + "learning_rate": 4.278913748285879e-07, + "loss": 0.63, + "step": 12806 + }, + { + "epoch": 0.87, + "learning_rate": 4.274454982728032e-07, + "loss": 0.73, + "step": 12807 + }, + { + "epoch": 0.87, + "learning_rate": 4.2699984377340076e-07, + "loss": 0.7202, + "step": 12808 + }, + { + "epoch": 0.87, + "learning_rate": 4.26554411352022e-07, + "loss": 1.0115, + "step": 12809 + }, + { + "epoch": 0.87, + "learning_rate": 4.26109201030302e-07, + "loss": 0.4448, + "step": 12810 + }, + { + "epoch": 0.87, + "learning_rate": 4.2566421282985824e-07, + "loss": 1.0013, + "step": 12811 + }, + { + "epoch": 0.87, + "learning_rate": 4.2521944677230087e-07, + "loss": 0.5674, + "step": 12812 + }, + { + "epoch": 0.87, + "learning_rate": 4.2477490287923026e-07, + "loss": 0.7345, + "step": 12813 + }, + { + "epoch": 0.87, + "learning_rate": 4.2433058117223423e-07, + "loss": 0.5353, + "step": 12814 + }, + { + "epoch": 0.87, + "learning_rate": 4.238864816728899e-07, + "loss": 0.5801, + "step": 12815 + }, + { + "epoch": 0.87, + "learning_rate": 4.2344260440276455e-07, + "loss": 0.5467, + "step": 12816 + }, + { + "epoch": 0.87, + "learning_rate": 4.2299894938341355e-07, + "loss": 1.0424, + "step": 12817 + }, + { + "epoch": 0.87, + "learning_rate": 4.225555166363832e-07, + "loss": 0.7113, + "step": 12818 + }, + { + "epoch": 0.87, + "learning_rate": 4.221123061832066e-07, + "loss": 0.591, + "step": 12819 + }, + { + "epoch": 0.87, + "learning_rate": 4.216693180454079e-07, + "loss": 0.9051, + "step": 12820 + }, + { + "epoch": 0.87, + "learning_rate": 4.2122655224450083e-07, + "loss": 0.7651, + "step": 12821 + }, + { + "epoch": 0.87, + "learning_rate": 4.207840088019843e-07, + "loss": 0.7972, + "step": 12822 + }, + { + "epoch": 0.87, + "learning_rate": 4.2034168773935293e-07, + "loss": 0.5612, + "step": 12823 + }, + { + "epoch": 0.87, + "learning_rate": 4.198995890780866e-07, + "loss": 0.7066, + "step": 12824 + }, + { + "epoch": 0.87, + "learning_rate": 4.194577128396521e-07, + "loss": 0.9657, + "step": 12825 + }, + { + "epoch": 0.87, + "learning_rate": 4.1901605904551055e-07, + "loss": 0.7053, + "step": 12826 + }, + { + "epoch": 0.87, + "learning_rate": 4.18574627717111e-07, + "loss": 0.8138, + "step": 12827 + }, + { + "epoch": 0.87, + "learning_rate": 4.1813341887588735e-07, + "loss": 0.7757, + "step": 12828 + }, + { + "epoch": 0.87, + "learning_rate": 4.17692432543268e-07, + "loss": 0.7972, + "step": 12829 + }, + { + "epoch": 0.87, + "learning_rate": 4.1725166874066967e-07, + "loss": 0.7308, + "step": 12830 + }, + { + "epoch": 0.87, + "learning_rate": 4.168111274894937e-07, + "loss": 0.8222, + "step": 12831 + }, + { + "epoch": 0.87, + "learning_rate": 4.163708088111379e-07, + "loss": 0.6345, + "step": 12832 + }, + { + "epoch": 0.87, + "learning_rate": 4.1593071272698295e-07, + "loss": 0.8366, + "step": 12833 + }, + { + "epoch": 0.87, + "learning_rate": 4.1549083925840174e-07, + "loss": 0.968, + "step": 12834 + }, + { + "epoch": 0.87, + "learning_rate": 4.150511884267555e-07, + "loss": 0.6125, + "step": 12835 + }, + { + "epoch": 0.87, + "learning_rate": 4.146117602533956e-07, + "loss": 0.6677, + "step": 12836 + }, + { + "epoch": 0.87, + "learning_rate": 4.1417255475966145e-07, + "loss": 0.7686, + "step": 12837 + }, + { + "epoch": 0.87, + "learning_rate": 4.1373357196688226e-07, + "loss": 0.8218, + "step": 12838 + }, + { + "epoch": 0.87, + "learning_rate": 4.1329481189637643e-07, + "loss": 0.6173, + "step": 12839 + }, + { + "epoch": 0.87, + "learning_rate": 4.1285627456945087e-07, + "loss": 0.6248, + "step": 12840 + }, + { + "epoch": 0.87, + "learning_rate": 4.1241796000740296e-07, + "loss": 0.4861, + "step": 12841 + }, + { + "epoch": 0.87, + "learning_rate": 4.1197986823151847e-07, + "loss": 0.5893, + "step": 12842 + }, + { + "epoch": 0.87, + "learning_rate": 4.11541999263072e-07, + "loss": 0.5959, + "step": 12843 + }, + { + "epoch": 0.87, + "learning_rate": 4.1110435312332777e-07, + "loss": 0.9248, + "step": 12844 + }, + { + "epoch": 0.87, + "learning_rate": 4.1066692983353917e-07, + "loss": 0.648, + "step": 12845 + }, + { + "epoch": 0.87, + "learning_rate": 4.1022972941494875e-07, + "loss": 1.0316, + "step": 12846 + }, + { + "epoch": 0.87, + "learning_rate": 4.0979275188878843e-07, + "loss": 0.5926, + "step": 12847 + }, + { + "epoch": 0.87, + "learning_rate": 4.0935599727627837e-07, + "loss": 0.7408, + "step": 12848 + }, + { + "epoch": 0.87, + "learning_rate": 4.089194655986306e-07, + "loss": 0.7755, + "step": 12849 + }, + { + "epoch": 0.87, + "learning_rate": 4.0848315687704087e-07, + "loss": 0.8907, + "step": 12850 + }, + { + "epoch": 0.87, + "learning_rate": 4.080470711327011e-07, + "loss": 0.7235, + "step": 12851 + }, + { + "epoch": 0.87, + "learning_rate": 4.076112083867878e-07, + "loss": 0.6641, + "step": 12852 + }, + { + "epoch": 0.87, + "learning_rate": 4.0717556866046615e-07, + "loss": 0.8022, + "step": 12853 + }, + { + "epoch": 0.87, + "learning_rate": 4.067401519748931e-07, + "loss": 0.5533, + "step": 12854 + }, + { + "epoch": 0.87, + "learning_rate": 4.063049583512152e-07, + "loss": 0.8842, + "step": 12855 + }, + { + "epoch": 0.87, + "learning_rate": 4.058699878105643e-07, + "loss": 0.8317, + "step": 12856 + }, + { + "epoch": 0.87, + "learning_rate": 4.054352403740641e-07, + "loss": 0.476, + "step": 12857 + }, + { + "epoch": 0.87, + "learning_rate": 4.0500071606283e-07, + "loss": 0.9291, + "step": 12858 + }, + { + "epoch": 0.87, + "learning_rate": 4.045664148979606e-07, + "loss": 0.9615, + "step": 12859 + }, + { + "epoch": 0.87, + "learning_rate": 4.0413233690054786e-07, + "loss": 0.7793, + "step": 12860 + }, + { + "epoch": 0.88, + "learning_rate": 4.036984820916723e-07, + "loss": 0.8821, + "step": 12861 + }, + { + "epoch": 0.88, + "learning_rate": 4.032648504924025e-07, + "loss": 0.6398, + "step": 12862 + }, + { + "epoch": 0.88, + "learning_rate": 4.028314421237972e-07, + "loss": 0.7477, + "step": 12863 + }, + { + "epoch": 0.88, + "learning_rate": 4.0239825700690404e-07, + "loss": 0.3494, + "step": 12864 + }, + { + "epoch": 0.88, + "learning_rate": 4.019652951627595e-07, + "loss": 0.4136, + "step": 12865 + }, + { + "epoch": 0.88, + "learning_rate": 4.0153255661238955e-07, + "loss": 0.6003, + "step": 12866 + }, + { + "epoch": 0.88, + "learning_rate": 4.011000413768096e-07, + "loss": 0.787, + "step": 12867 + }, + { + "epoch": 0.88, + "learning_rate": 4.006677494770228e-07, + "loss": 0.8959, + "step": 12868 + }, + { + "epoch": 0.88, + "learning_rate": 4.002356809340241e-07, + "loss": 0.5703, + "step": 12869 + }, + { + "epoch": 0.88, + "learning_rate": 3.998038357687933e-07, + "loss": 0.6218, + "step": 12870 + }, + { + "epoch": 0.88, + "learning_rate": 3.993722140023049e-07, + "loss": 0.9051, + "step": 12871 + }, + { + "epoch": 0.88, + "learning_rate": 3.989408156555197e-07, + "loss": 0.6732, + "step": 12872 + }, + { + "epoch": 0.88, + "learning_rate": 3.985096407493838e-07, + "loss": 0.7106, + "step": 12873 + }, + { + "epoch": 0.88, + "learning_rate": 3.980786893048405e-07, + "loss": 0.7909, + "step": 12874 + }, + { + "epoch": 0.88, + "learning_rate": 3.9764796134281745e-07, + "loss": 0.7535, + "step": 12875 + }, + { + "epoch": 0.88, + "learning_rate": 3.9721745688422906e-07, + "loss": 0.5905, + "step": 12876 + }, + { + "epoch": 0.88, + "learning_rate": 3.9678717594998527e-07, + "loss": 0.514, + "step": 12877 + }, + { + "epoch": 0.88, + "learning_rate": 3.9635711856098104e-07, + "loss": 0.627, + "step": 12878 + }, + { + "epoch": 0.88, + "learning_rate": 3.959272847380985e-07, + "loss": 0.4113, + "step": 12879 + }, + { + "epoch": 0.88, + "learning_rate": 3.95497674502216e-07, + "loss": 0.9136, + "step": 12880 + }, + { + "epoch": 0.88, + "learning_rate": 3.9506828787419294e-07, + "loss": 0.509, + "step": 12881 + }, + { + "epoch": 0.88, + "learning_rate": 3.946391248748821e-07, + "loss": 0.7461, + "step": 12882 + }, + { + "epoch": 0.88, + "learning_rate": 3.942101855251279e-07, + "loss": 0.498, + "step": 12883 + }, + { + "epoch": 0.88, + "learning_rate": 3.937814698457576e-07, + "loss": 0.8658, + "step": 12884 + }, + { + "epoch": 0.88, + "learning_rate": 3.9335297785759064e-07, + "loss": 0.5198, + "step": 12885 + }, + { + "epoch": 0.88, + "learning_rate": 3.9292470958143924e-07, + "loss": 0.8064, + "step": 12886 + }, + { + "epoch": 0.88, + "learning_rate": 3.9249666503809846e-07, + "loss": 0.573, + "step": 12887 + }, + { + "epoch": 0.88, + "learning_rate": 3.9206884424835613e-07, + "loss": 0.7529, + "step": 12888 + }, + { + "epoch": 0.88, + "learning_rate": 3.916412472329884e-07, + "loss": 0.876, + "step": 12889 + }, + { + "epoch": 0.88, + "learning_rate": 3.912138740127608e-07, + "loss": 0.7455, + "step": 12890 + }, + { + "epoch": 0.88, + "learning_rate": 3.9078672460842736e-07, + "loss": 0.7752, + "step": 12891 + }, + { + "epoch": 0.88, + "learning_rate": 3.903597990407326e-07, + "loss": 0.6712, + "step": 12892 + }, + { + "epoch": 0.88, + "learning_rate": 3.899330973304083e-07, + "loss": 0.8103, + "step": 12893 + }, + { + "epoch": 0.88, + "learning_rate": 3.8950661949817614e-07, + "loss": 0.8168, + "step": 12894 + }, + { + "epoch": 0.88, + "learning_rate": 3.890803655647485e-07, + "loss": 0.8184, + "step": 12895 + }, + { + "epoch": 0.88, + "learning_rate": 3.8865433555082434e-07, + "loss": 0.9115, + "step": 12896 + }, + { + "epoch": 0.88, + "learning_rate": 3.882285294770938e-07, + "loss": 0.7391, + "step": 12897 + }, + { + "epoch": 0.88, + "learning_rate": 3.878029473642331e-07, + "loss": 1.014, + "step": 12898 + }, + { + "epoch": 0.88, + "learning_rate": 3.8737758923291236e-07, + "loss": 0.5892, + "step": 12899 + }, + { + "epoch": 0.88, + "learning_rate": 3.8695245510378787e-07, + "loss": 0.5153, + "step": 12900 + }, + { + "epoch": 0.88, + "learning_rate": 3.8652754499750257e-07, + "loss": 0.6409, + "step": 12901 + }, + { + "epoch": 0.88, + "learning_rate": 3.8610285893469433e-07, + "loss": 0.8076, + "step": 12902 + }, + { + "epoch": 0.88, + "learning_rate": 3.856783969359873e-07, + "loss": 0.8824, + "step": 12903 + }, + { + "epoch": 0.88, + "learning_rate": 3.852541590219916e-07, + "loss": 0.7139, + "step": 12904 + }, + { + "epoch": 0.88, + "learning_rate": 3.8483014521331184e-07, + "loss": 0.7444, + "step": 12905 + }, + { + "epoch": 0.88, + "learning_rate": 3.8440635553053993e-07, + "loss": 0.8538, + "step": 12906 + }, + { + "epoch": 0.88, + "learning_rate": 3.839827899942544e-07, + "loss": 0.7165, + "step": 12907 + }, + { + "epoch": 0.88, + "learning_rate": 3.835594486250255e-07, + "loss": 0.7764, + "step": 12908 + }, + { + "epoch": 0.88, + "learning_rate": 3.8313633144341164e-07, + "loss": 0.7176, + "step": 12909 + }, + { + "epoch": 0.88, + "learning_rate": 3.8271343846996156e-07, + "loss": 0.8427, + "step": 12910 + }, + { + "epoch": 0.88, + "learning_rate": 3.82290769725211e-07, + "loss": 0.5621, + "step": 12911 + }, + { + "epoch": 0.88, + "learning_rate": 3.818683252296868e-07, + "loss": 0.6391, + "step": 12912 + }, + { + "epoch": 0.88, + "learning_rate": 3.814461050039031e-07, + "loss": 0.7792, + "step": 12913 + }, + { + "epoch": 0.88, + "learning_rate": 3.810241090683653e-07, + "loss": 0.767, + "step": 12914 + }, + { + "epoch": 0.88, + "learning_rate": 3.8060233744356634e-07, + "loss": 0.8314, + "step": 12915 + }, + { + "epoch": 0.88, + "learning_rate": 3.8018079014998874e-07, + "loss": 0.8955, + "step": 12916 + }, + { + "epoch": 0.88, + "learning_rate": 3.7975946720810343e-07, + "loss": 0.4343, + "step": 12917 + }, + { + "epoch": 0.88, + "learning_rate": 3.793383686383717e-07, + "loss": 0.6085, + "step": 12918 + }, + { + "epoch": 0.88, + "learning_rate": 3.789174944612434e-07, + "loss": 0.5199, + "step": 12919 + }, + { + "epoch": 0.88, + "learning_rate": 3.7849684469715655e-07, + "loss": 0.8864, + "step": 12920 + }, + { + "epoch": 0.88, + "learning_rate": 3.7807641936653984e-07, + "loss": 0.6153, + "step": 12921 + }, + { + "epoch": 0.88, + "learning_rate": 3.7765621848981025e-07, + "loss": 0.8784, + "step": 12922 + }, + { + "epoch": 0.88, + "learning_rate": 3.7723624208737376e-07, + "loss": 0.7141, + "step": 12923 + }, + { + "epoch": 0.88, + "learning_rate": 3.7681649017962565e-07, + "loss": 0.6447, + "step": 12924 + }, + { + "epoch": 0.88, + "learning_rate": 3.7639696278695126e-07, + "loss": 0.6411, + "step": 12925 + }, + { + "epoch": 0.88, + "learning_rate": 3.7597765992972267e-07, + "loss": 0.755, + "step": 12926 + }, + { + "epoch": 0.88, + "learning_rate": 3.755585816283014e-07, + "loss": 0.811, + "step": 12927 + }, + { + "epoch": 0.88, + "learning_rate": 3.7513972790304276e-07, + "loss": 0.6005, + "step": 12928 + }, + { + "epoch": 0.88, + "learning_rate": 3.7472109877428443e-07, + "loss": 0.6763, + "step": 12929 + }, + { + "epoch": 0.88, + "learning_rate": 3.743026942623557e-07, + "loss": 0.623, + "step": 12930 + }, + { + "epoch": 0.88, + "learning_rate": 3.738845143875791e-07, + "loss": 0.6484, + "step": 12931 + }, + { + "epoch": 0.88, + "learning_rate": 3.7346655917025964e-07, + "loss": 0.832, + "step": 12932 + }, + { + "epoch": 0.88, + "learning_rate": 3.730488286306944e-07, + "loss": 0.562, + "step": 12933 + }, + { + "epoch": 0.88, + "learning_rate": 3.72631322789172e-07, + "loss": 0.9071, + "step": 12934 + }, + { + "epoch": 0.88, + "learning_rate": 3.722140416659653e-07, + "loss": 0.738, + "step": 12935 + }, + { + "epoch": 0.88, + "learning_rate": 3.7179698528133967e-07, + "loss": 1.1318, + "step": 12936 + }, + { + "epoch": 0.88, + "learning_rate": 3.7138015365554834e-07, + "loss": 0.5733, + "step": 12937 + }, + { + "epoch": 0.88, + "learning_rate": 3.7096354680883407e-07, + "loss": 0.8422, + "step": 12938 + }, + { + "epoch": 0.88, + "learning_rate": 3.705471647614284e-07, + "loss": 0.6842, + "step": 12939 + }, + { + "epoch": 0.88, + "learning_rate": 3.7013100753355123e-07, + "loss": 0.8181, + "step": 12940 + }, + { + "epoch": 0.88, + "learning_rate": 3.697150751454137e-07, + "loss": 0.9573, + "step": 12941 + }, + { + "epoch": 0.88, + "learning_rate": 3.692993676172141e-07, + "loss": 0.6585, + "step": 12942 + }, + { + "epoch": 0.88, + "learning_rate": 3.6888388496914065e-07, + "loss": 0.7738, + "step": 12943 + }, + { + "epoch": 0.88, + "learning_rate": 3.684686272213694e-07, + "loss": 0.704, + "step": 12944 + }, + { + "epoch": 0.88, + "learning_rate": 3.680535943940688e-07, + "loss": 0.5704, + "step": 12945 + }, + { + "epoch": 0.88, + "learning_rate": 3.6763878650738996e-07, + "loss": 0.7593, + "step": 12946 + }, + { + "epoch": 0.88, + "learning_rate": 3.6722420358148105e-07, + "loss": 0.5984, + "step": 12947 + }, + { + "epoch": 0.88, + "learning_rate": 3.668098456364744e-07, + "loss": 0.4691, + "step": 12948 + }, + { + "epoch": 0.88, + "learning_rate": 3.663957126924905e-07, + "loss": 0.4529, + "step": 12949 + }, + { + "epoch": 0.88, + "learning_rate": 3.6598180476964286e-07, + "loss": 0.7376, + "step": 12950 + }, + { + "epoch": 0.88, + "learning_rate": 3.655681218880325e-07, + "loss": 0.6809, + "step": 12951 + }, + { + "epoch": 0.88, + "learning_rate": 3.6515466406774616e-07, + "loss": 0.6548, + "step": 12952 + }, + { + "epoch": 0.88, + "learning_rate": 3.6474143132886607e-07, + "loss": 0.8732, + "step": 12953 + }, + { + "epoch": 0.88, + "learning_rate": 3.643284236914579e-07, + "loss": 0.7536, + "step": 12954 + }, + { + "epoch": 0.88, + "learning_rate": 3.6391564117557787e-07, + "loss": 0.856, + "step": 12955 + }, + { + "epoch": 0.88, + "learning_rate": 3.6350308380127433e-07, + "loss": 0.823, + "step": 12956 + }, + { + "epoch": 0.88, + "learning_rate": 3.630907515885801e-07, + "loss": 0.835, + "step": 12957 + }, + { + "epoch": 0.88, + "learning_rate": 3.626786445575192e-07, + "loss": 0.8248, + "step": 12958 + }, + { + "epoch": 0.88, + "learning_rate": 3.6226676272810733e-07, + "loss": 0.4211, + "step": 12959 + }, + { + "epoch": 0.88, + "learning_rate": 3.6185510612034403e-07, + "loss": 0.6475, + "step": 12960 + }, + { + "epoch": 0.88, + "learning_rate": 3.614436747542205e-07, + "loss": 0.8239, + "step": 12961 + }, + { + "epoch": 0.88, + "learning_rate": 3.6103246864971906e-07, + "loss": 0.5931, + "step": 12962 + }, + { + "epoch": 0.88, + "learning_rate": 3.606214878268077e-07, + "loss": 0.7409, + "step": 12963 + }, + { + "epoch": 0.88, + "learning_rate": 3.6021073230544434e-07, + "loss": 0.7796, + "step": 12964 + }, + { + "epoch": 0.88, + "learning_rate": 3.5980020210557744e-07, + "loss": 0.9876, + "step": 12965 + }, + { + "epoch": 0.88, + "learning_rate": 3.5938989724714324e-07, + "loss": 0.7318, + "step": 12966 + }, + { + "epoch": 0.88, + "learning_rate": 3.5897981775006697e-07, + "loss": 0.7502, + "step": 12967 + }, + { + "epoch": 0.88, + "learning_rate": 3.5856996363426376e-07, + "loss": 0.5852, + "step": 12968 + }, + { + "epoch": 0.88, + "learning_rate": 3.581603349196372e-07, + "loss": 0.6382, + "step": 12969 + }, + { + "epoch": 0.88, + "learning_rate": 3.5775093162607966e-07, + "loss": 0.5847, + "step": 12970 + }, + { + "epoch": 0.88, + "learning_rate": 3.573417537734736e-07, + "loss": 0.8321, + "step": 12971 + }, + { + "epoch": 0.88, + "learning_rate": 3.569328013816892e-07, + "loss": 0.9778, + "step": 12972 + }, + { + "epoch": 0.88, + "learning_rate": 3.5652407447058723e-07, + "loss": 0.6868, + "step": 12973 + }, + { + "epoch": 0.88, + "learning_rate": 3.5611557306001464e-07, + "loss": 0.8569, + "step": 12974 + }, + { + "epoch": 0.88, + "learning_rate": 3.5570729716981167e-07, + "loss": 0.6499, + "step": 12975 + }, + { + "epoch": 0.88, + "learning_rate": 3.552992468198058e-07, + "loss": 0.5866, + "step": 12976 + }, + { + "epoch": 0.88, + "learning_rate": 3.5489142202981e-07, + "loss": 0.6515, + "step": 12977 + }, + { + "epoch": 0.88, + "learning_rate": 3.544838228196318e-07, + "loss": 0.579, + "step": 12978 + }, + { + "epoch": 0.88, + "learning_rate": 3.5407644920906593e-07, + "loss": 0.7411, + "step": 12979 + }, + { + "epoch": 0.88, + "learning_rate": 3.536693012178938e-07, + "loss": 0.5894, + "step": 12980 + }, + { + "epoch": 0.88, + "learning_rate": 3.5326237886588734e-07, + "loss": 0.8052, + "step": 12981 + }, + { + "epoch": 0.88, + "learning_rate": 3.5285568217281077e-07, + "loss": 0.5657, + "step": 12982 + }, + { + "epoch": 0.88, + "learning_rate": 3.524492111584121e-07, + "loss": 0.7181, + "step": 12983 + }, + { + "epoch": 0.88, + "learning_rate": 3.5204296584243126e-07, + "loss": 0.5458, + "step": 12984 + }, + { + "epoch": 0.88, + "learning_rate": 3.516369462445968e-07, + "loss": 0.5681, + "step": 12985 + }, + { + "epoch": 0.88, + "learning_rate": 3.512311523846257e-07, + "loss": 0.3539, + "step": 12986 + }, + { + "epoch": 0.88, + "learning_rate": 3.5082558428222555e-07, + "loss": 0.8791, + "step": 12987 + }, + { + "epoch": 0.88, + "learning_rate": 3.504202419570907e-07, + "loss": 0.6638, + "step": 12988 + }, + { + "epoch": 0.88, + "learning_rate": 3.5001512542890636e-07, + "loss": 0.675, + "step": 12989 + }, + { + "epoch": 0.88, + "learning_rate": 3.4961023471734635e-07, + "loss": 0.6996, + "step": 12990 + }, + { + "epoch": 0.88, + "learning_rate": 3.492055698420732e-07, + "loss": 0.7416, + "step": 12991 + }, + { + "epoch": 0.88, + "learning_rate": 3.4880113082273795e-07, + "loss": 0.8403, + "step": 12992 + }, + { + "epoch": 0.88, + "learning_rate": 3.48396917678982e-07, + "loss": 0.7855, + "step": 12993 + }, + { + "epoch": 0.88, + "learning_rate": 3.4799293043043527e-07, + "loss": 0.6633, + "step": 12994 + }, + { + "epoch": 0.88, + "learning_rate": 3.475891690967159e-07, + "loss": 0.8757, + "step": 12995 + }, + { + "epoch": 0.88, + "learning_rate": 3.4718563369743217e-07, + "loss": 0.8271, + "step": 12996 + }, + { + "epoch": 0.88, + "learning_rate": 3.467823242521806e-07, + "loss": 0.6682, + "step": 12997 + }, + { + "epoch": 0.88, + "learning_rate": 3.4637924078054717e-07, + "loss": 0.8014, + "step": 12998 + }, + { + "epoch": 0.88, + "learning_rate": 3.4597638330210795e-07, + "loss": 0.4032, + "step": 12999 + }, + { + "epoch": 0.88, + "learning_rate": 3.4557375183642385e-07, + "loss": 0.5618, + "step": 13000 + }, + { + "epoch": 0.88, + "learning_rate": 3.4517134640305097e-07, + "loss": 0.6897, + "step": 13001 + }, + { + "epoch": 0.88, + "learning_rate": 3.4476916702152976e-07, + "loss": 0.9243, + "step": 13002 + }, + { + "epoch": 0.88, + "learning_rate": 3.4436721371139016e-07, + "loss": 0.7174, + "step": 13003 + }, + { + "epoch": 0.88, + "learning_rate": 3.4396548649215543e-07, + "loss": 0.6559, + "step": 13004 + }, + { + "epoch": 0.88, + "learning_rate": 3.435639853833317e-07, + "loss": 0.4508, + "step": 13005 + }, + { + "epoch": 0.88, + "learning_rate": 3.431627104044172e-07, + "loss": 0.6957, + "step": 13006 + }, + { + "epoch": 0.88, + "learning_rate": 3.427616615749013e-07, + "loss": 0.687, + "step": 13007 + }, + { + "epoch": 0.89, + "learning_rate": 3.423608389142574e-07, + "loss": 1.0737, + "step": 13008 + }, + { + "epoch": 0.89, + "learning_rate": 3.4196024244195157e-07, + "loss": 0.9445, + "step": 13009 + }, + { + "epoch": 0.89, + "learning_rate": 3.415598721774388e-07, + "loss": 0.6102, + "step": 13010 + }, + { + "epoch": 0.89, + "learning_rate": 3.411597281401613e-07, + "loss": 0.6424, + "step": 13011 + }, + { + "epoch": 0.89, + "learning_rate": 3.407598103495513e-07, + "loss": 0.7937, + "step": 13012 + }, + { + "epoch": 0.89, + "learning_rate": 3.4036011882502996e-07, + "loss": 0.6366, + "step": 13013 + }, + { + "epoch": 0.89, + "learning_rate": 3.399606535860078e-07, + "loss": 0.6276, + "step": 13014 + }, + { + "epoch": 0.89, + "learning_rate": 3.395614146518833e-07, + "loss": 0.7916, + "step": 13015 + }, + { + "epoch": 0.89, + "learning_rate": 3.391624020420453e-07, + "loss": 0.7811, + "step": 13016 + }, + { + "epoch": 0.89, + "learning_rate": 3.3876361577587115e-07, + "loss": 0.6235, + "step": 13017 + }, + { + "epoch": 0.89, + "learning_rate": 3.383650558727264e-07, + "loss": 0.6746, + "step": 13018 + }, + { + "epoch": 0.89, + "learning_rate": 3.379667223519667e-07, + "loss": 0.6475, + "step": 13019 + }, + { + "epoch": 0.89, + "learning_rate": 3.3756861523293605e-07, + "loss": 0.7028, + "step": 13020 + }, + { + "epoch": 0.89, + "learning_rate": 3.371707345349684e-07, + "loss": 0.7543, + "step": 13021 + }, + { + "epoch": 0.89, + "learning_rate": 3.367730802773839e-07, + "loss": 0.6883, + "step": 13022 + }, + { + "epoch": 0.89, + "learning_rate": 3.363756524794959e-07, + "loss": 0.9803, + "step": 13023 + }, + { + "epoch": 0.89, + "learning_rate": 3.3597845116060455e-07, + "loss": 0.6539, + "step": 13024 + }, + { + "epoch": 0.89, + "learning_rate": 3.355814763399973e-07, + "loss": 0.7815, + "step": 13025 + }, + { + "epoch": 0.89, + "learning_rate": 3.351847280369541e-07, + "loss": 0.6946, + "step": 13026 + }, + { + "epoch": 0.89, + "learning_rate": 3.3478820627074307e-07, + "loss": 1.0615, + "step": 13027 + }, + { + "epoch": 0.89, + "learning_rate": 3.34391911060617e-07, + "loss": 0.7332, + "step": 13028 + }, + { + "epoch": 0.89, + "learning_rate": 3.3399584242582496e-07, + "loss": 0.8752, + "step": 13029 + }, + { + "epoch": 0.89, + "learning_rate": 3.3360000038559827e-07, + "loss": 0.4685, + "step": 13030 + }, + { + "epoch": 0.89, + "learning_rate": 3.3320438495916043e-07, + "loss": 1.0494, + "step": 13031 + }, + { + "epoch": 0.89, + "learning_rate": 3.328089961657266e-07, + "loss": 0.4801, + "step": 13032 + }, + { + "epoch": 0.89, + "learning_rate": 3.324138340244948e-07, + "loss": 0.7059, + "step": 13033 + }, + { + "epoch": 0.89, + "learning_rate": 3.320188985546552e-07, + "loss": 0.8782, + "step": 13034 + }, + { + "epoch": 0.89, + "learning_rate": 3.316241897753902e-07, + "loss": 0.5053, + "step": 13035 + }, + { + "epoch": 0.89, + "learning_rate": 3.3122970770586514e-07, + "loss": 0.8382, + "step": 13036 + }, + { + "epoch": 0.89, + "learning_rate": 3.3083545236523794e-07, + "loss": 0.6106, + "step": 13037 + }, + { + "epoch": 0.89, + "learning_rate": 3.30441423772655e-07, + "loss": 0.6771, + "step": 13038 + }, + { + "epoch": 0.89, + "learning_rate": 3.3004762194725094e-07, + "loss": 0.8434, + "step": 13039 + }, + { + "epoch": 0.89, + "learning_rate": 3.296540469081505e-07, + "loss": 0.6844, + "step": 13040 + }, + { + "epoch": 0.89, + "learning_rate": 3.2926069867446673e-07, + "loss": 0.6826, + "step": 13041 + }, + { + "epoch": 0.89, + "learning_rate": 3.2886757726530163e-07, + "loss": 0.7738, + "step": 13042 + }, + { + "epoch": 0.89, + "learning_rate": 3.284746826997459e-07, + "loss": 0.7775, + "step": 13043 + }, + { + "epoch": 0.89, + "learning_rate": 3.2808201499687997e-07, + "loss": 0.7859, + "step": 13044 + }, + { + "epoch": 0.89, + "learning_rate": 3.276895741757735e-07, + "loss": 0.779, + "step": 13045 + }, + { + "epoch": 0.89, + "learning_rate": 3.2729736025548354e-07, + "loss": 0.509, + "step": 13046 + }, + { + "epoch": 0.89, + "learning_rate": 3.269053732550581e-07, + "loss": 0.7001, + "step": 13047 + }, + { + "epoch": 0.89, + "learning_rate": 3.2651361319353205e-07, + "loss": 0.7214, + "step": 13048 + }, + { + "epoch": 0.89, + "learning_rate": 3.261220800899323e-07, + "loss": 0.7229, + "step": 13049 + }, + { + "epoch": 0.89, + "learning_rate": 3.257307739632698e-07, + "loss": 0.7298, + "step": 13050 + }, + { + "epoch": 0.89, + "learning_rate": 3.253396948325499e-07, + "loss": 0.6517, + "step": 13051 + }, + { + "epoch": 0.89, + "learning_rate": 3.249488427167646e-07, + "loss": 0.7002, + "step": 13052 + }, + { + "epoch": 0.89, + "learning_rate": 3.245582176348927e-07, + "loss": 0.9287, + "step": 13053 + }, + { + "epoch": 0.89, + "learning_rate": 3.241678196059067e-07, + "loss": 0.705, + "step": 13054 + }, + { + "epoch": 0.89, + "learning_rate": 3.237776486487643e-07, + "loss": 0.8328, + "step": 13055 + }, + { + "epoch": 0.89, + "learning_rate": 3.2338770478241245e-07, + "loss": 0.8911, + "step": 13056 + }, + { + "epoch": 0.89, + "learning_rate": 3.229979880257883e-07, + "loss": 0.5455, + "step": 13057 + }, + { + "epoch": 0.89, + "learning_rate": 3.226084983978195e-07, + "loss": 0.7869, + "step": 13058 + }, + { + "epoch": 0.89, + "learning_rate": 3.222192359174181e-07, + "loss": 0.7935, + "step": 13059 + }, + { + "epoch": 0.89, + "learning_rate": 3.218302006034896e-07, + "loss": 0.7479, + "step": 13060 + }, + { + "epoch": 0.89, + "learning_rate": 3.21441392474926e-07, + "loss": 0.5459, + "step": 13061 + }, + { + "epoch": 0.89, + "learning_rate": 3.2105281155060843e-07, + "loss": 0.7207, + "step": 13062 + }, + { + "epoch": 0.89, + "learning_rate": 3.206644578494089e-07, + "loss": 0.7264, + "step": 13063 + }, + { + "epoch": 0.89, + "learning_rate": 3.2027633139018577e-07, + "loss": 0.7878, + "step": 13064 + }, + { + "epoch": 0.89, + "learning_rate": 3.1988843219178776e-07, + "loss": 0.5891, + "step": 13065 + }, + { + "epoch": 0.89, + "learning_rate": 3.195007602730532e-07, + "loss": 0.6546, + "step": 13066 + }, + { + "epoch": 0.89, + "learning_rate": 3.1911331565280756e-07, + "loss": 0.7379, + "step": 13067 + }, + { + "epoch": 0.89, + "learning_rate": 3.1872609834986635e-07, + "loss": 0.7904, + "step": 13068 + }, + { + "epoch": 0.89, + "learning_rate": 3.183391083830345e-07, + "loss": 0.919, + "step": 13069 + }, + { + "epoch": 0.89, + "learning_rate": 3.1795234577110533e-07, + "loss": 0.6093, + "step": 13070 + }, + { + "epoch": 0.89, + "learning_rate": 3.1756581053286107e-07, + "loss": 0.7784, + "step": 13071 + }, + { + "epoch": 0.89, + "learning_rate": 3.171795026870722e-07, + "loss": 0.7093, + "step": 13072 + }, + { + "epoch": 0.89, + "learning_rate": 3.167934222524999e-07, + "loss": 1.0036, + "step": 13073 + }, + { + "epoch": 0.89, + "learning_rate": 3.1640756924789296e-07, + "loss": 0.7591, + "step": 13074 + }, + { + "epoch": 0.89, + "learning_rate": 3.160219436919909e-07, + "loss": 0.6977, + "step": 13075 + }, + { + "epoch": 0.89, + "learning_rate": 3.1563654560351706e-07, + "loss": 0.6816, + "step": 13076 + }, + { + "epoch": 0.89, + "learning_rate": 3.1525137500119207e-07, + "loss": 0.8427, + "step": 13077 + }, + { + "epoch": 0.89, + "learning_rate": 3.148664319037176e-07, + "loss": 0.5896, + "step": 13078 + }, + { + "epoch": 0.89, + "learning_rate": 3.1448171632978807e-07, + "loss": 0.7578, + "step": 13079 + }, + { + "epoch": 0.89, + "learning_rate": 3.140972282980886e-07, + "loss": 0.8494, + "step": 13080 + }, + { + "epoch": 0.89, + "learning_rate": 3.1371296782728875e-07, + "loss": 0.7706, + "step": 13081 + }, + { + "epoch": 0.89, + "learning_rate": 3.133289349360491e-07, + "loss": 0.6369, + "step": 13082 + }, + { + "epoch": 0.89, + "learning_rate": 3.129451296430219e-07, + "loss": 0.7538, + "step": 13083 + }, + { + "epoch": 0.89, + "learning_rate": 3.125615519668435e-07, + "loss": 0.5599, + "step": 13084 + }, + { + "epoch": 0.89, + "learning_rate": 3.1217820192614156e-07, + "loss": 0.4106, + "step": 13085 + }, + { + "epoch": 0.89, + "learning_rate": 3.1179507953953523e-07, + "loss": 0.5898, + "step": 13086 + }, + { + "epoch": 0.89, + "learning_rate": 3.114121848256268e-07, + "loss": 0.9624, + "step": 13087 + }, + { + "epoch": 0.89, + "learning_rate": 3.110295178030126e-07, + "loss": 0.7573, + "step": 13088 + }, + { + "epoch": 0.89, + "learning_rate": 3.106470784902754e-07, + "loss": 0.8766, + "step": 13089 + }, + { + "epoch": 0.89, + "learning_rate": 3.1026486690598765e-07, + "loss": 0.7937, + "step": 13090 + }, + { + "epoch": 0.89, + "learning_rate": 3.0988288306871115e-07, + "loss": 0.8047, + "step": 13091 + }, + { + "epoch": 0.89, + "learning_rate": 3.0950112699699554e-07, + "loss": 0.5903, + "step": 13092 + }, + { + "epoch": 0.89, + "learning_rate": 3.091195987093798e-07, + "loss": 0.4694, + "step": 13093 + }, + { + "epoch": 0.89, + "learning_rate": 3.087382982243925e-07, + "loss": 0.7528, + "step": 13094 + }, + { + "epoch": 0.89, + "learning_rate": 3.0835722556055103e-07, + "loss": 0.7423, + "step": 13095 + }, + { + "epoch": 0.89, + "learning_rate": 3.079763807363606e-07, + "loss": 0.8038, + "step": 13096 + }, + { + "epoch": 0.89, + "learning_rate": 3.0759576377031697e-07, + "loss": 0.7907, + "step": 13097 + }, + { + "epoch": 0.89, + "learning_rate": 3.07215374680902e-07, + "loss": 0.5452, + "step": 13098 + }, + { + "epoch": 0.89, + "learning_rate": 3.0683521348659095e-07, + "loss": 0.5533, + "step": 13099 + }, + { + "epoch": 0.89, + "learning_rate": 3.064552802058457e-07, + "loss": 0.4827, + "step": 13100 + }, + { + "epoch": 0.89, + "learning_rate": 3.060755748571137e-07, + "loss": 0.7385, + "step": 13101 + }, + { + "epoch": 0.89, + "learning_rate": 3.0569609745883745e-07, + "loss": 0.7559, + "step": 13102 + }, + { + "epoch": 0.89, + "learning_rate": 3.0531684802944497e-07, + "loss": 0.7676, + "step": 13103 + }, + { + "epoch": 0.89, + "learning_rate": 3.0493782658735205e-07, + "loss": 0.788, + "step": 13104 + }, + { + "epoch": 0.89, + "learning_rate": 3.045590331509679e-07, + "loss": 0.6195, + "step": 13105 + }, + { + "epoch": 0.89, + "learning_rate": 3.041804677386856e-07, + "loss": 0.7953, + "step": 13106 + }, + { + "epoch": 0.89, + "learning_rate": 3.0380213036888926e-07, + "loss": 0.7261, + "step": 13107 + }, + { + "epoch": 0.89, + "learning_rate": 3.034240210599543e-07, + "loss": 0.7456, + "step": 13108 + }, + { + "epoch": 0.89, + "learning_rate": 3.0304613983024033e-07, + "loss": 0.8856, + "step": 13109 + }, + { + "epoch": 0.89, + "learning_rate": 3.0266848669809947e-07, + "loss": 0.5583, + "step": 13110 + }, + { + "epoch": 0.89, + "learning_rate": 3.022910616818714e-07, + "loss": 0.6494, + "step": 13111 + }, + { + "epoch": 0.89, + "learning_rate": 3.0191386479988537e-07, + "loss": 0.7161, + "step": 13112 + }, + { + "epoch": 0.89, + "learning_rate": 3.015368960704584e-07, + "loss": 0.744, + "step": 13113 + }, + { + "epoch": 0.89, + "learning_rate": 3.011601555118976e-07, + "loss": 0.8155, + "step": 13114 + }, + { + "epoch": 0.89, + "learning_rate": 3.0078364314249874e-07, + "loss": 0.626, + "step": 13115 + }, + { + "epoch": 0.89, + "learning_rate": 3.0040735898054617e-07, + "loss": 1.0869, + "step": 13116 + }, + { + "epoch": 0.89, + "learning_rate": 3.0003130304431304e-07, + "loss": 0.5569, + "step": 13117 + }, + { + "epoch": 0.89, + "learning_rate": 2.9965547535206254e-07, + "loss": 0.5347, + "step": 13118 + }, + { + "epoch": 0.89, + "learning_rate": 2.99279875922045e-07, + "loss": 0.7735, + "step": 13119 + }, + { + "epoch": 0.89, + "learning_rate": 2.9890450477250087e-07, + "loss": 0.5673, + "step": 13120 + }, + { + "epoch": 0.89, + "learning_rate": 2.985293619216595e-07, + "loss": 0.7915, + "step": 13121 + }, + { + "epoch": 0.89, + "learning_rate": 2.98154447387739e-07, + "loss": 0.8627, + "step": 13122 + }, + { + "epoch": 0.89, + "learning_rate": 2.9777976118894604e-07, + "loss": 0.7315, + "step": 13123 + }, + { + "epoch": 0.89, + "learning_rate": 2.9740530334347596e-07, + "loss": 0.4263, + "step": 13124 + }, + { + "epoch": 0.89, + "learning_rate": 2.9703107386951535e-07, + "loss": 0.778, + "step": 13125 + }, + { + "epoch": 0.89, + "learning_rate": 2.9665707278523525e-07, + "loss": 0.5991, + "step": 13126 + }, + { + "epoch": 0.89, + "learning_rate": 2.962833001088e-07, + "loss": 0.7569, + "step": 13127 + }, + { + "epoch": 0.89, + "learning_rate": 2.9590975585836124e-07, + "loss": 0.6806, + "step": 13128 + }, + { + "epoch": 0.89, + "learning_rate": 2.955364400520583e-07, + "loss": 0.7741, + "step": 13129 + }, + { + "epoch": 0.89, + "learning_rate": 2.951633527080194e-07, + "loss": 0.7121, + "step": 13130 + }, + { + "epoch": 0.89, + "learning_rate": 2.947904938443663e-07, + "loss": 0.995, + "step": 13131 + }, + { + "epoch": 0.89, + "learning_rate": 2.944178634792033e-07, + "loss": 0.5698, + "step": 13132 + }, + { + "epoch": 0.89, + "learning_rate": 2.940454616306265e-07, + "loss": 0.8007, + "step": 13133 + }, + { + "epoch": 0.89, + "learning_rate": 2.936732883167226e-07, + "loss": 0.5492, + "step": 13134 + }, + { + "epoch": 0.89, + "learning_rate": 2.9330134355556374e-07, + "loss": 0.453, + "step": 13135 + }, + { + "epoch": 0.89, + "learning_rate": 2.929296273652132e-07, + "loss": 0.5275, + "step": 13136 + }, + { + "epoch": 0.89, + "learning_rate": 2.9255813976372227e-07, + "loss": 1.0267, + "step": 13137 + }, + { + "epoch": 0.89, + "learning_rate": 2.9218688076913195e-07, + "loss": 0.6707, + "step": 13138 + }, + { + "epoch": 0.89, + "learning_rate": 2.918158503994711e-07, + "loss": 1.0622, + "step": 13139 + }, + { + "epoch": 0.89, + "learning_rate": 2.9144504867275826e-07, + "loss": 0.5951, + "step": 13140 + }, + { + "epoch": 0.89, + "learning_rate": 2.910744756070011e-07, + "loss": 0.8118, + "step": 13141 + }, + { + "epoch": 0.89, + "learning_rate": 2.9070413122019525e-07, + "loss": 0.9212, + "step": 13142 + }, + { + "epoch": 0.89, + "learning_rate": 2.9033401553032525e-07, + "loss": 0.7989, + "step": 13143 + }, + { + "epoch": 0.89, + "learning_rate": 2.899641285553656e-07, + "loss": 0.8082, + "step": 13144 + }, + { + "epoch": 0.89, + "learning_rate": 2.8959447031327916e-07, + "loss": 0.8415, + "step": 13145 + }, + { + "epoch": 0.89, + "learning_rate": 2.8922504082201764e-07, + "loss": 0.8283, + "step": 13146 + }, + { + "epoch": 0.89, + "learning_rate": 2.888558400995212e-07, + "loss": 0.9852, + "step": 13147 + }, + { + "epoch": 0.89, + "learning_rate": 2.8848686816371985e-07, + "loss": 0.7878, + "step": 13148 + }, + { + "epoch": 0.89, + "learning_rate": 2.881181250325299e-07, + "loss": 0.9484, + "step": 13149 + }, + { + "epoch": 0.89, + "learning_rate": 2.877496107238614e-07, + "loss": 0.5564, + "step": 13150 + }, + { + "epoch": 0.89, + "learning_rate": 2.8738132525560957e-07, + "loss": 0.7766, + "step": 13151 + }, + { + "epoch": 0.89, + "learning_rate": 2.870132686456578e-07, + "loss": 0.7496, + "step": 13152 + }, + { + "epoch": 0.89, + "learning_rate": 2.8664544091188297e-07, + "loss": 0.8213, + "step": 13153 + }, + { + "epoch": 0.89, + "learning_rate": 2.8627784207214513e-07, + "loss": 0.5334, + "step": 13154 + }, + { + "epoch": 0.9, + "learning_rate": 2.8591047214429626e-07, + "loss": 0.9261, + "step": 13155 + }, + { + "epoch": 0.9, + "learning_rate": 2.855433311461786e-07, + "loss": 0.7432, + "step": 13156 + }, + { + "epoch": 0.9, + "learning_rate": 2.8517641909562075e-07, + "loss": 0.9335, + "step": 13157 + }, + { + "epoch": 0.9, + "learning_rate": 2.848097360104396e-07, + "loss": 0.8071, + "step": 13158 + }, + { + "epoch": 0.9, + "learning_rate": 2.844432819084447e-07, + "loss": 0.4224, + "step": 13159 + }, + { + "epoch": 0.9, + "learning_rate": 2.840770568074308e-07, + "loss": 0.923, + "step": 13160 + }, + { + "epoch": 0.9, + "learning_rate": 2.8371106072518194e-07, + "loss": 0.725, + "step": 13161 + }, + { + "epoch": 0.9, + "learning_rate": 2.833452936794745e-07, + "loss": 0.5751, + "step": 13162 + }, + { + "epoch": 0.9, + "learning_rate": 2.8297975568806924e-07, + "loss": 1.064, + "step": 13163 + }, + { + "epoch": 0.9, + "learning_rate": 2.8261444676871755e-07, + "loss": 0.5886, + "step": 13164 + }, + { + "epoch": 0.9, + "learning_rate": 2.822493669391613e-07, + "loss": 0.6186, + "step": 13165 + }, + { + "epoch": 0.9, + "learning_rate": 2.8188451621712854e-07, + "loss": 0.5065, + "step": 13166 + }, + { + "epoch": 0.9, + "learning_rate": 2.815198946203379e-07, + "loss": 0.8341, + "step": 13167 + }, + { + "epoch": 0.9, + "learning_rate": 2.8115550216649687e-07, + "loss": 0.8174, + "step": 13168 + }, + { + "epoch": 0.9, + "learning_rate": 2.807913388733008e-07, + "loss": 0.8293, + "step": 13169 + }, + { + "epoch": 0.9, + "learning_rate": 2.8042740475843487e-07, + "loss": 0.3895, + "step": 13170 + }, + { + "epoch": 0.9, + "learning_rate": 2.800636998395723e-07, + "loss": 0.7223, + "step": 13171 + }, + { + "epoch": 0.9, + "learning_rate": 2.797002241343766e-07, + "loss": 0.7986, + "step": 13172 + }, + { + "epoch": 0.9, + "learning_rate": 2.793369776604987e-07, + "loss": 0.5397, + "step": 13173 + }, + { + "epoch": 0.9, + "learning_rate": 2.789739604355779e-07, + "loss": 0.9569, + "step": 13174 + }, + { + "epoch": 0.9, + "learning_rate": 2.7861117247724446e-07, + "loss": 0.9012, + "step": 13175 + }, + { + "epoch": 0.9, + "learning_rate": 2.782486138031171e-07, + "loss": 0.6391, + "step": 13176 + }, + { + "epoch": 0.9, + "learning_rate": 2.7788628443080003e-07, + "loss": 0.7522, + "step": 13177 + }, + { + "epoch": 0.9, + "learning_rate": 2.77524184377892e-07, + "loss": 0.8196, + "step": 13178 + }, + { + "epoch": 0.9, + "learning_rate": 2.7716231366197663e-07, + "loss": 0.7407, + "step": 13179 + }, + { + "epoch": 0.9, + "learning_rate": 2.768006723006261e-07, + "loss": 1.1548, + "step": 13180 + }, + { + "epoch": 0.9, + "learning_rate": 2.764392603114052e-07, + "loss": 0.761, + "step": 13181 + }, + { + "epoch": 0.9, + "learning_rate": 2.7607807771186325e-07, + "loss": 0.5966, + "step": 13182 + }, + { + "epoch": 0.9, + "learning_rate": 2.7571712451953944e-07, + "loss": 0.535, + "step": 13183 + }, + { + "epoch": 0.9, + "learning_rate": 2.75356400751966e-07, + "loss": 0.5595, + "step": 13184 + }, + { + "epoch": 0.9, + "learning_rate": 2.7499590642665773e-07, + "loss": 0.6272, + "step": 13185 + }, + { + "epoch": 0.9, + "learning_rate": 2.746356415611229e-07, + "loss": 1.0276, + "step": 13186 + }, + { + "epoch": 0.9, + "learning_rate": 2.7427560617285575e-07, + "loss": 0.7919, + "step": 13187 + }, + { + "epoch": 0.9, + "learning_rate": 2.7391580027934185e-07, + "loss": 0.5648, + "step": 13188 + }, + { + "epoch": 0.9, + "learning_rate": 2.735562238980538e-07, + "loss": 0.745, + "step": 13189 + }, + { + "epoch": 0.9, + "learning_rate": 2.7319687704645323e-07, + "loss": 0.922, + "step": 13190 + }, + { + "epoch": 0.9, + "learning_rate": 2.728377597419918e-07, + "loss": 0.8213, + "step": 13191 + }, + { + "epoch": 0.9, + "learning_rate": 2.724788720021093e-07, + "loss": 0.4475, + "step": 13192 + }, + { + "epoch": 0.9, + "learning_rate": 2.7212021384423415e-07, + "loss": 0.6428, + "step": 13193 + }, + { + "epoch": 0.9, + "learning_rate": 2.7176178528578347e-07, + "loss": 0.7204, + "step": 13194 + }, + { + "epoch": 0.9, + "learning_rate": 2.714035863441639e-07, + "loss": 0.5689, + "step": 13195 + }, + { + "epoch": 0.9, + "learning_rate": 2.7104561703677035e-07, + "loss": 0.6784, + "step": 13196 + }, + { + "epoch": 0.9, + "learning_rate": 2.7068787738098735e-07, + "loss": 0.5903, + "step": 13197 + }, + { + "epoch": 0.9, + "learning_rate": 2.703303673941876e-07, + "loss": 0.6029, + "step": 13198 + }, + { + "epoch": 0.9, + "learning_rate": 2.6997308709373225e-07, + "loss": 0.8663, + "step": 13199 + }, + { + "epoch": 0.9, + "learning_rate": 2.696160364969724e-07, + "loss": 0.4824, + "step": 13200 + }, + { + "epoch": 0.9, + "learning_rate": 2.6925921562124867e-07, + "loss": 0.8226, + "step": 13201 + }, + { + "epoch": 0.9, + "learning_rate": 2.6890262448388607e-07, + "loss": 0.5293, + "step": 13202 + }, + { + "epoch": 0.9, + "learning_rate": 2.68546263102204e-07, + "loss": 0.5526, + "step": 13203 + }, + { + "epoch": 0.9, + "learning_rate": 2.6819013149350926e-07, + "loss": 0.7537, + "step": 13204 + }, + { + "epoch": 0.9, + "learning_rate": 2.6783422967509465e-07, + "loss": 0.7214, + "step": 13205 + }, + { + "epoch": 0.9, + "learning_rate": 2.6747855766424357e-07, + "loss": 0.9985, + "step": 13206 + }, + { + "epoch": 0.9, + "learning_rate": 2.6712311547823056e-07, + "loss": 0.8989, + "step": 13207 + }, + { + "epoch": 0.9, + "learning_rate": 2.6676790313431567e-07, + "loss": 0.5326, + "step": 13208 + }, + { + "epoch": 0.9, + "learning_rate": 2.664129206497479e-07, + "loss": 0.7618, + "step": 13209 + }, + { + "epoch": 0.9, + "learning_rate": 2.66058168041769e-07, + "loss": 0.8814, + "step": 13210 + }, + { + "epoch": 0.9, + "learning_rate": 2.657036453276046e-07, + "loss": 0.6874, + "step": 13211 + }, + { + "epoch": 0.9, + "learning_rate": 2.653493525244721e-07, + "loss": 0.6398, + "step": 13212 + }, + { + "epoch": 0.9, + "learning_rate": 2.6499528964957666e-07, + "loss": 0.5265, + "step": 13213 + }, + { + "epoch": 0.9, + "learning_rate": 2.6464145672011274e-07, + "loss": 0.3745, + "step": 13214 + }, + { + "epoch": 0.9, + "learning_rate": 2.6428785375326337e-07, + "loss": 0.7337, + "step": 13215 + }, + { + "epoch": 0.9, + "learning_rate": 2.6393448076620086e-07, + "loss": 0.6974, + "step": 13216 + }, + { + "epoch": 0.9, + "learning_rate": 2.6358133777608596e-07, + "loss": 0.4668, + "step": 13217 + }, + { + "epoch": 0.9, + "learning_rate": 2.6322842480006773e-07, + "loss": 0.7146, + "step": 13218 + }, + { + "epoch": 0.9, + "learning_rate": 2.628757418552852e-07, + "loss": 0.6958, + "step": 13219 + }, + { + "epoch": 0.9, + "learning_rate": 2.625232889588658e-07, + "loss": 0.6115, + "step": 13220 + }, + { + "epoch": 0.9, + "learning_rate": 2.621710661279253e-07, + "loss": 0.4446, + "step": 13221 + }, + { + "epoch": 0.9, + "learning_rate": 2.6181907337956835e-07, + "loss": 0.934, + "step": 13222 + }, + { + "epoch": 0.9, + "learning_rate": 2.614673107308896e-07, + "loss": 0.4491, + "step": 13223 + }, + { + "epoch": 0.9, + "learning_rate": 2.6111577819897205e-07, + "loss": 0.5194, + "step": 13224 + }, + { + "epoch": 0.9, + "learning_rate": 2.6076447580088426e-07, + "loss": 0.6987, + "step": 13225 + }, + { + "epoch": 0.9, + "learning_rate": 2.604134035536898e-07, + "loss": 0.6979, + "step": 13226 + }, + { + "epoch": 0.9, + "learning_rate": 2.6006256147443675e-07, + "loss": 0.7548, + "step": 13227 + }, + { + "epoch": 0.9, + "learning_rate": 2.597119495801614e-07, + "loss": 0.6363, + "step": 13228 + }, + { + "epoch": 0.9, + "learning_rate": 2.59361567887893e-07, + "loss": 0.7677, + "step": 13229 + }, + { + "epoch": 0.9, + "learning_rate": 2.590114164146451e-07, + "loss": 0.6213, + "step": 13230 + }, + { + "epoch": 0.9, + "learning_rate": 2.5866149517742247e-07, + "loss": 0.3479, + "step": 13231 + }, + { + "epoch": 0.9, + "learning_rate": 2.583118041932198e-07, + "loss": 0.8405, + "step": 13232 + }, + { + "epoch": 0.9, + "learning_rate": 2.579623434790174e-07, + "loss": 1.0128, + "step": 13233 + }, + { + "epoch": 0.9, + "learning_rate": 2.5761311305178617e-07, + "loss": 0.866, + "step": 13234 + }, + { + "epoch": 0.9, + "learning_rate": 2.5726411292848697e-07, + "loss": 0.7036, + "step": 13235 + }, + { + "epoch": 0.9, + "learning_rate": 2.569153431260668e-07, + "loss": 0.584, + "step": 13236 + }, + { + "epoch": 0.9, + "learning_rate": 2.5656680366146325e-07, + "loss": 0.6395, + "step": 13237 + }, + { + "epoch": 0.9, + "learning_rate": 2.5621849455160383e-07, + "loss": 0.5154, + "step": 13238 + }, + { + "epoch": 0.9, + "learning_rate": 2.5587041581340235e-07, + "loss": 0.8649, + "step": 13239 + }, + { + "epoch": 0.9, + "learning_rate": 2.555225674637618e-07, + "loss": 0.7126, + "step": 13240 + }, + { + "epoch": 0.9, + "learning_rate": 2.5517494951957544e-07, + "loss": 0.9619, + "step": 13241 + }, + { + "epoch": 0.9, + "learning_rate": 2.548275619977247e-07, + "loss": 0.7858, + "step": 13242 + }, + { + "epoch": 0.9, + "learning_rate": 2.544804049150795e-07, + "loss": 0.5936, + "step": 13243 + }, + { + "epoch": 0.9, + "learning_rate": 2.541334782884991e-07, + "loss": 0.8013, + "step": 13244 + }, + { + "epoch": 0.9, + "learning_rate": 2.5378678213483057e-07, + "loss": 0.8676, + "step": 13245 + }, + { + "epoch": 0.9, + "learning_rate": 2.5344031647091094e-07, + "loss": 0.8651, + "step": 13246 + }, + { + "epoch": 0.9, + "learning_rate": 2.530940813135657e-07, + "loss": 1.104, + "step": 13247 + }, + { + "epoch": 0.9, + "learning_rate": 2.527480766796092e-07, + "loss": 0.899, + "step": 13248 + }, + { + "epoch": 0.9, + "learning_rate": 2.524023025858446e-07, + "loss": 0.3703, + "step": 13249 + }, + { + "epoch": 0.9, + "learning_rate": 2.5205675904906136e-07, + "loss": 0.5862, + "step": 13250 + }, + { + "epoch": 0.9, + "learning_rate": 2.5171144608604317e-07, + "loss": 0.6252, + "step": 13251 + }, + { + "epoch": 0.9, + "learning_rate": 2.513663637135583e-07, + "loss": 0.6386, + "step": 13252 + }, + { + "epoch": 0.9, + "learning_rate": 2.510215119483639e-07, + "loss": 0.974, + "step": 13253 + }, + { + "epoch": 0.9, + "learning_rate": 2.506768908072077e-07, + "loss": 0.505, + "step": 13254 + }, + { + "epoch": 0.9, + "learning_rate": 2.503325003068269e-07, + "loss": 0.8737, + "step": 13255 + }, + { + "epoch": 0.9, + "learning_rate": 2.499883404639436e-07, + "loss": 0.8982, + "step": 13256 + }, + { + "epoch": 0.9, + "learning_rate": 2.4964441129527337e-07, + "loss": 0.6027, + "step": 13257 + }, + { + "epoch": 0.9, + "learning_rate": 2.493007128175173e-07, + "loss": 0.7494, + "step": 13258 + }, + { + "epoch": 0.9, + "learning_rate": 2.4895724504736596e-07, + "loss": 0.9492, + "step": 13259 + }, + { + "epoch": 0.9, + "learning_rate": 2.486140080014998e-07, + "loss": 0.6777, + "step": 13260 + }, + { + "epoch": 0.9, + "learning_rate": 2.4827100169658726e-07, + "loss": 0.6086, + "step": 13261 + }, + { + "epoch": 0.9, + "learning_rate": 2.47928226149286e-07, + "loss": 0.6365, + "step": 13262 + }, + { + "epoch": 0.9, + "learning_rate": 2.475856813762417e-07, + "loss": 0.6596, + "step": 13263 + }, + { + "epoch": 0.9, + "learning_rate": 2.472433673940894e-07, + "loss": 0.5761, + "step": 13264 + }, + { + "epoch": 0.9, + "learning_rate": 2.469012842194535e-07, + "loss": 0.4273, + "step": 13265 + }, + { + "epoch": 0.9, + "learning_rate": 2.465594318689457e-07, + "loss": 0.5389, + "step": 13266 + }, + { + "epoch": 0.9, + "learning_rate": 2.462178103591678e-07, + "loss": 0.8897, + "step": 13267 + }, + { + "epoch": 0.9, + "learning_rate": 2.458764197067093e-07, + "loss": 0.777, + "step": 13268 + }, + { + "epoch": 0.9, + "learning_rate": 2.455352599281502e-07, + "loss": 0.4507, + "step": 13269 + }, + { + "epoch": 0.9, + "learning_rate": 2.451943310400573e-07, + "loss": 0.5431, + "step": 13270 + }, + { + "epoch": 0.9, + "learning_rate": 2.4485363305898734e-07, + "loss": 0.8459, + "step": 13271 + }, + { + "epoch": 0.9, + "learning_rate": 2.4451316600148544e-07, + "loss": 0.727, + "step": 13272 + }, + { + "epoch": 0.9, + "learning_rate": 2.441729298840861e-07, + "loss": 0.8829, + "step": 13273 + }, + { + "epoch": 0.9, + "learning_rate": 2.4383292472331177e-07, + "loss": 0.8699, + "step": 13274 + }, + { + "epoch": 0.9, + "learning_rate": 2.4349315053567466e-07, + "loss": 0.3729, + "step": 13275 + }, + { + "epoch": 0.9, + "learning_rate": 2.4315360733767446e-07, + "loss": 0.6122, + "step": 13276 + }, + { + "epoch": 0.9, + "learning_rate": 2.428142951458012e-07, + "loss": 0.8563, + "step": 13277 + }, + { + "epoch": 0.9, + "learning_rate": 2.4247521397653183e-07, + "loss": 0.6552, + "step": 13278 + }, + { + "epoch": 0.9, + "learning_rate": 2.4213636384633257e-07, + "loss": 0.7627, + "step": 13279 + }, + { + "epoch": 0.9, + "learning_rate": 2.417977447716613e-07, + "loss": 0.5094, + "step": 13280 + }, + { + "epoch": 0.9, + "learning_rate": 2.4145935676896106e-07, + "loss": 0.7586, + "step": 13281 + }, + { + "epoch": 0.9, + "learning_rate": 2.4112119985466364e-07, + "loss": 0.679, + "step": 13282 + }, + { + "epoch": 0.9, + "learning_rate": 2.407832740451932e-07, + "loss": 0.6743, + "step": 13283 + }, + { + "epoch": 0.9, + "learning_rate": 2.4044557935695934e-07, + "loss": 0.6646, + "step": 13284 + }, + { + "epoch": 0.9, + "learning_rate": 2.4010811580636006e-07, + "loss": 0.818, + "step": 13285 + }, + { + "epoch": 0.9, + "learning_rate": 2.397708834097867e-07, + "loss": 0.724, + "step": 13286 + }, + { + "epoch": 0.9, + "learning_rate": 2.3943388218361395e-07, + "loss": 0.7956, + "step": 13287 + }, + { + "epoch": 0.9, + "learning_rate": 2.390971121442082e-07, + "loss": 0.8691, + "step": 13288 + }, + { + "epoch": 0.9, + "learning_rate": 2.3876057330792344e-07, + "loss": 0.7505, + "step": 13289 + }, + { + "epoch": 0.9, + "learning_rate": 2.38424265691104e-07, + "loss": 0.6237, + "step": 13290 + }, + { + "epoch": 0.9, + "learning_rate": 2.3808818931008116e-07, + "loss": 0.7809, + "step": 13291 + }, + { + "epoch": 0.9, + "learning_rate": 2.3775234418117577e-07, + "loss": 0.9076, + "step": 13292 + }, + { + "epoch": 0.9, + "learning_rate": 2.3741673032069757e-07, + "loss": 0.8138, + "step": 13293 + }, + { + "epoch": 0.9, + "learning_rate": 2.3708134774494517e-07, + "loss": 0.7779, + "step": 13294 + }, + { + "epoch": 0.9, + "learning_rate": 2.3674619647020558e-07, + "loss": 0.7626, + "step": 13295 + }, + { + "epoch": 0.9, + "learning_rate": 2.3641127651275463e-07, + "loss": 0.7267, + "step": 13296 + }, + { + "epoch": 0.9, + "learning_rate": 2.3607658788885712e-07, + "loss": 0.6048, + "step": 13297 + }, + { + "epoch": 0.9, + "learning_rate": 2.357421306147656e-07, + "loss": 0.5792, + "step": 13298 + }, + { + "epoch": 0.9, + "learning_rate": 2.354079047067237e-07, + "loss": 0.8028, + "step": 13299 + }, + { + "epoch": 0.9, + "learning_rate": 2.3507391018096236e-07, + "loss": 0.9089, + "step": 13300 + }, + { + "epoch": 0.9, + "learning_rate": 2.3474014705369974e-07, + "loss": 0.7694, + "step": 13301 + }, + { + "epoch": 0.91, + "learning_rate": 2.344066153411456e-07, + "loss": 0.7684, + "step": 13302 + }, + { + "epoch": 0.91, + "learning_rate": 2.340733150594976e-07, + "loss": 0.6698, + "step": 13303 + }, + { + "epoch": 0.91, + "learning_rate": 2.337402462249394e-07, + "loss": 0.7605, + "step": 13304 + }, + { + "epoch": 0.91, + "learning_rate": 2.3340740885364922e-07, + "loss": 0.5195, + "step": 13305 + }, + { + "epoch": 0.91, + "learning_rate": 2.3307480296178798e-07, + "loss": 0.9237, + "step": 13306 + }, + { + "epoch": 0.91, + "learning_rate": 2.3274242856550834e-07, + "loss": 0.5096, + "step": 13307 + }, + { + "epoch": 0.91, + "learning_rate": 2.3241028568095292e-07, + "loss": 0.8372, + "step": 13308 + }, + { + "epoch": 0.91, + "learning_rate": 2.3207837432424996e-07, + "loss": 0.7675, + "step": 13309 + }, + { + "epoch": 0.91, + "learning_rate": 2.3174669451151766e-07, + "loss": 0.6982, + "step": 13310 + }, + { + "epoch": 0.91, + "learning_rate": 2.314152462588659e-07, + "loss": 0.6061, + "step": 13311 + }, + { + "epoch": 0.91, + "learning_rate": 2.3108402958238796e-07, + "loss": 0.5107, + "step": 13312 + }, + { + "epoch": 0.91, + "learning_rate": 2.3075304449816927e-07, + "loss": 0.5284, + "step": 13313 + }, + { + "epoch": 0.91, + "learning_rate": 2.304222910222853e-07, + "loss": 0.6535, + "step": 13314 + }, + { + "epoch": 0.91, + "learning_rate": 2.3009176917079602e-07, + "loss": 0.8892, + "step": 13315 + }, + { + "epoch": 0.91, + "learning_rate": 2.2976147895975408e-07, + "loss": 0.7835, + "step": 13316 + }, + { + "epoch": 0.91, + "learning_rate": 2.2943142040519838e-07, + "loss": 0.9557, + "step": 13317 + }, + { + "epoch": 0.91, + "learning_rate": 2.2910159352315774e-07, + "loss": 0.6349, + "step": 13318 + }, + { + "epoch": 0.91, + "learning_rate": 2.2877199832964992e-07, + "loss": 0.6202, + "step": 13319 + }, + { + "epoch": 0.91, + "learning_rate": 2.2844263484068097e-07, + "loss": 0.7238, + "step": 13320 + }, + { + "epoch": 0.91, + "learning_rate": 2.2811350307224534e-07, + "loss": 0.8096, + "step": 13321 + }, + { + "epoch": 0.91, + "learning_rate": 2.2778460304032635e-07, + "loss": 0.8504, + "step": 13322 + }, + { + "epoch": 0.91, + "learning_rate": 2.2745593476089734e-07, + "loss": 0.6793, + "step": 13323 + }, + { + "epoch": 0.91, + "learning_rate": 2.2712749824991831e-07, + "loss": 0.7715, + "step": 13324 + }, + { + "epoch": 0.91, + "learning_rate": 2.2679929352334041e-07, + "loss": 0.732, + "step": 13325 + }, + { + "epoch": 0.91, + "learning_rate": 2.2647132059709974e-07, + "loss": 0.6995, + "step": 13326 + }, + { + "epoch": 0.91, + "learning_rate": 2.261435794871264e-07, + "loss": 0.926, + "step": 13327 + }, + { + "epoch": 0.91, + "learning_rate": 2.2581607020933538e-07, + "loss": 0.6725, + "step": 13328 + }, + { + "epoch": 0.91, + "learning_rate": 2.2548879277963065e-07, + "loss": 0.5906, + "step": 13329 + }, + { + "epoch": 0.91, + "learning_rate": 2.251617472139067e-07, + "loss": 0.6253, + "step": 13330 + }, + { + "epoch": 0.91, + "learning_rate": 2.2483493352804585e-07, + "loss": 0.596, + "step": 13331 + }, + { + "epoch": 0.91, + "learning_rate": 2.2450835173791818e-07, + "loss": 0.7441, + "step": 13332 + }, + { + "epoch": 0.91, + "learning_rate": 2.2418200185938488e-07, + "loss": 0.6492, + "step": 13333 + }, + { + "epoch": 0.91, + "learning_rate": 2.2385588390829327e-07, + "loss": 0.7195, + "step": 13334 + }, + { + "epoch": 0.91, + "learning_rate": 2.2352999790048124e-07, + "loss": 0.5423, + "step": 13335 + }, + { + "epoch": 0.91, + "learning_rate": 2.2320434385177391e-07, + "loss": 0.8768, + "step": 13336 + }, + { + "epoch": 0.91, + "learning_rate": 2.2287892177798642e-07, + "loss": 0.367, + "step": 13337 + }, + { + "epoch": 0.91, + "learning_rate": 2.2255373169492277e-07, + "loss": 0.7694, + "step": 13338 + }, + { + "epoch": 0.91, + "learning_rate": 2.2222877361837425e-07, + "loss": 0.7979, + "step": 13339 + }, + { + "epoch": 0.91, + "learning_rate": 2.2190404756412266e-07, + "loss": 0.8366, + "step": 13340 + }, + { + "epoch": 0.91, + "learning_rate": 2.2157955354793648e-07, + "loss": 0.6365, + "step": 13341 + }, + { + "epoch": 0.91, + "learning_rate": 2.212552915855748e-07, + "loss": 0.7571, + "step": 13342 + }, + { + "epoch": 0.91, + "learning_rate": 2.20931261692785e-07, + "loss": 0.7849, + "step": 13343 + }, + { + "epoch": 0.91, + "learning_rate": 2.206074638853023e-07, + "loss": 0.7529, + "step": 13344 + }, + { + "epoch": 0.91, + "learning_rate": 2.2028389817885187e-07, + "loss": 0.7825, + "step": 13345 + }, + { + "epoch": 0.91, + "learning_rate": 2.1996056458914617e-07, + "loss": 0.7453, + "step": 13346 + }, + { + "epoch": 0.91, + "learning_rate": 2.1963746313188762e-07, + "loss": 0.9606, + "step": 13347 + }, + { + "epoch": 0.91, + "learning_rate": 2.19314593822767e-07, + "loss": 0.5481, + "step": 13348 + }, + { + "epoch": 0.91, + "learning_rate": 2.1899195667746397e-07, + "loss": 0.9559, + "step": 13349 + }, + { + "epoch": 0.91, + "learning_rate": 2.1866955171164606e-07, + "loss": 0.7073, + "step": 13350 + }, + { + "epoch": 0.91, + "learning_rate": 2.1834737894097124e-07, + "loss": 0.8117, + "step": 13351 + }, + { + "epoch": 0.91, + "learning_rate": 2.1802543838108425e-07, + "loss": 0.784, + "step": 13352 + }, + { + "epoch": 0.91, + "learning_rate": 2.1770373004762035e-07, + "loss": 0.7955, + "step": 13353 + }, + { + "epoch": 0.91, + "learning_rate": 2.1738225395620093e-07, + "loss": 0.7776, + "step": 13354 + }, + { + "epoch": 0.91, + "learning_rate": 2.1706101012243853e-07, + "loss": 0.8897, + "step": 13355 + }, + { + "epoch": 0.91, + "learning_rate": 2.1673999856193562e-07, + "loss": 0.8878, + "step": 13356 + }, + { + "epoch": 0.91, + "learning_rate": 2.1641921929027864e-07, + "loss": 0.55, + "step": 13357 + }, + { + "epoch": 0.91, + "learning_rate": 2.1609867232304628e-07, + "loss": 0.8215, + "step": 13358 + }, + { + "epoch": 0.91, + "learning_rate": 2.1577835767580713e-07, + "loss": 0.7312, + "step": 13359 + }, + { + "epoch": 0.91, + "learning_rate": 2.1545827536411433e-07, + "loss": 0.6955, + "step": 13360 + }, + { + "epoch": 0.91, + "learning_rate": 2.1513842540351272e-07, + "loss": 0.7561, + "step": 13361 + }, + { + "epoch": 0.91, + "learning_rate": 2.1481880780953536e-07, + "loss": 0.9397, + "step": 13362 + }, + { + "epoch": 0.91, + "learning_rate": 2.1449942259770373e-07, + "loss": 0.7348, + "step": 13363 + }, + { + "epoch": 0.91, + "learning_rate": 2.1418026978352768e-07, + "loss": 0.5269, + "step": 13364 + }, + { + "epoch": 0.91, + "learning_rate": 2.1386134938250645e-07, + "loss": 0.5154, + "step": 13365 + }, + { + "epoch": 0.91, + "learning_rate": 2.1354266141012825e-07, + "loss": 0.9168, + "step": 13366 + }, + { + "epoch": 0.91, + "learning_rate": 2.1322420588186898e-07, + "loss": 0.9276, + "step": 13367 + }, + { + "epoch": 0.91, + "learning_rate": 2.1290598281319353e-07, + "loss": 0.5856, + "step": 13368 + }, + { + "epoch": 0.91, + "learning_rate": 2.1258799221955618e-07, + "loss": 0.9158, + "step": 13369 + }, + { + "epoch": 0.91, + "learning_rate": 2.1227023411639957e-07, + "loss": 0.6682, + "step": 13370 + }, + { + "epoch": 0.91, + "learning_rate": 2.1195270851915416e-07, + "loss": 0.7291, + "step": 13371 + }, + { + "epoch": 0.91, + "learning_rate": 2.116354154432404e-07, + "loss": 0.7551, + "step": 13372 + }, + { + "epoch": 0.91, + "learning_rate": 2.113183549040676e-07, + "loss": 0.9824, + "step": 13373 + }, + { + "epoch": 0.91, + "learning_rate": 2.110015269170318e-07, + "loss": 0.6216, + "step": 13374 + }, + { + "epoch": 0.91, + "learning_rate": 2.1068493149752013e-07, + "loss": 0.8882, + "step": 13375 + }, + { + "epoch": 0.91, + "learning_rate": 2.1036856866090748e-07, + "loss": 0.8456, + "step": 13376 + }, + { + "epoch": 0.91, + "learning_rate": 2.1005243842255552e-07, + "loss": 0.8153, + "step": 13377 + }, + { + "epoch": 0.91, + "learning_rate": 2.0973654079781858e-07, + "loss": 0.6755, + "step": 13378 + }, + { + "epoch": 0.91, + "learning_rate": 2.0942087580203774e-07, + "loss": 0.7329, + "step": 13379 + }, + { + "epoch": 0.91, + "learning_rate": 2.0910544345053961e-07, + "loss": 0.6565, + "step": 13380 + }, + { + "epoch": 0.91, + "learning_rate": 2.0879024375864642e-07, + "loss": 0.8136, + "step": 13381 + }, + { + "epoch": 0.91, + "learning_rate": 2.0847527674166257e-07, + "loss": 0.5589, + "step": 13382 + }, + { + "epoch": 0.91, + "learning_rate": 2.0816054241488358e-07, + "loss": 0.7252, + "step": 13383 + }, + { + "epoch": 0.91, + "learning_rate": 2.0784604079359616e-07, + "loss": 0.545, + "step": 13384 + }, + { + "epoch": 0.91, + "learning_rate": 2.0753177189307138e-07, + "loss": 0.7629, + "step": 13385 + }, + { + "epoch": 0.91, + "learning_rate": 2.0721773572857096e-07, + "loss": 0.8111, + "step": 13386 + }, + { + "epoch": 0.91, + "learning_rate": 2.069039323153471e-07, + "loss": 0.6863, + "step": 13387 + }, + { + "epoch": 0.91, + "learning_rate": 2.0659036166863766e-07, + "loss": 0.9605, + "step": 13388 + }, + { + "epoch": 0.91, + "learning_rate": 2.06277023803671e-07, + "loss": 0.6888, + "step": 13389 + }, + { + "epoch": 0.91, + "learning_rate": 2.0596391873566323e-07, + "loss": 0.7881, + "step": 13390 + }, + { + "epoch": 0.91, + "learning_rate": 2.0565104647982003e-07, + "loss": 0.9717, + "step": 13391 + }, + { + "epoch": 0.91, + "learning_rate": 2.0533840705133533e-07, + "loss": 0.8243, + "step": 13392 + }, + { + "epoch": 0.91, + "learning_rate": 2.05026000465392e-07, + "loss": 0.4891, + "step": 13393 + }, + { + "epoch": 0.91, + "learning_rate": 2.0471382673716067e-07, + "loss": 0.8285, + "step": 13394 + }, + { + "epoch": 0.91, + "learning_rate": 2.04401885881802e-07, + "loss": 0.8094, + "step": 13395 + }, + { + "epoch": 0.91, + "learning_rate": 2.0409017791446495e-07, + "loss": 0.5907, + "step": 13396 + }, + { + "epoch": 0.91, + "learning_rate": 2.0377870285028634e-07, + "loss": 0.6162, + "step": 13397 + }, + { + "epoch": 0.91, + "learning_rate": 2.034674607043935e-07, + "loss": 0.8366, + "step": 13398 + }, + { + "epoch": 0.91, + "learning_rate": 2.0315645149189934e-07, + "loss": 0.5722, + "step": 13399 + }, + { + "epoch": 0.91, + "learning_rate": 2.0284567522790843e-07, + "loss": 0.5583, + "step": 13400 + }, + { + "epoch": 0.91, + "learning_rate": 2.0253513192751374e-07, + "loss": 0.6166, + "step": 13401 + }, + { + "epoch": 0.91, + "learning_rate": 2.0222482160579371e-07, + "loss": 0.6271, + "step": 13402 + }, + { + "epoch": 0.91, + "learning_rate": 2.0191474427782076e-07, + "loss": 0.844, + "step": 13403 + }, + { + "epoch": 0.91, + "learning_rate": 2.0160489995865173e-07, + "loss": 0.7612, + "step": 13404 + }, + { + "epoch": 0.91, + "learning_rate": 2.0129528866333293e-07, + "loss": 0.6503, + "step": 13405 + }, + { + "epoch": 0.91, + "learning_rate": 2.009859104069012e-07, + "loss": 0.5686, + "step": 13406 + }, + { + "epoch": 0.91, + "learning_rate": 2.0067676520438117e-07, + "loss": 0.5524, + "step": 13407 + }, + { + "epoch": 0.91, + "learning_rate": 2.0036785307078422e-07, + "loss": 0.8788, + "step": 13408 + }, + { + "epoch": 0.91, + "learning_rate": 2.0005917402111275e-07, + "loss": 0.4589, + "step": 13409 + }, + { + "epoch": 0.91, + "learning_rate": 1.99750728070357e-07, + "loss": 0.8239, + "step": 13410 + }, + { + "epoch": 0.91, + "learning_rate": 1.994425152334961e-07, + "loss": 0.8411, + "step": 13411 + }, + { + "epoch": 0.91, + "learning_rate": 1.991345355254981e-07, + "loss": 0.7684, + "step": 13412 + }, + { + "epoch": 0.91, + "learning_rate": 1.988267889613188e-07, + "loss": 0.5435, + "step": 13413 + }, + { + "epoch": 0.91, + "learning_rate": 1.98519275555904e-07, + "loss": 0.9578, + "step": 13414 + }, + { + "epoch": 0.91, + "learning_rate": 1.9821199532418678e-07, + "loss": 0.6706, + "step": 13415 + }, + { + "epoch": 0.91, + "learning_rate": 1.9790494828108962e-07, + "loss": 0.4208, + "step": 13416 + }, + { + "epoch": 0.91, + "learning_rate": 1.9759813444152342e-07, + "loss": 0.9181, + "step": 13417 + }, + { + "epoch": 0.91, + "learning_rate": 1.9729155382038845e-07, + "loss": 0.8872, + "step": 13418 + }, + { + "epoch": 0.91, + "learning_rate": 1.9698520643257334e-07, + "loss": 0.7149, + "step": 13419 + }, + { + "epoch": 0.91, + "learning_rate": 1.9667909229295402e-07, + "loss": 0.8114, + "step": 13420 + }, + { + "epoch": 0.91, + "learning_rate": 1.9637321141639743e-07, + "loss": 0.8888, + "step": 13421 + }, + { + "epoch": 0.91, + "learning_rate": 1.9606756381775783e-07, + "loss": 0.7184, + "step": 13422 + }, + { + "epoch": 0.91, + "learning_rate": 1.9576214951187833e-07, + "loss": 0.7219, + "step": 13423 + }, + { + "epoch": 0.91, + "learning_rate": 1.9545696851358987e-07, + "loss": 0.8418, + "step": 13424 + }, + { + "epoch": 0.91, + "learning_rate": 1.9515202083771388e-07, + "loss": 0.6992, + "step": 13425 + }, + { + "epoch": 0.91, + "learning_rate": 1.9484730649905969e-07, + "loss": 0.4909, + "step": 13426 + }, + { + "epoch": 0.91, + "learning_rate": 1.9454282551242486e-07, + "loss": 0.6618, + "step": 13427 + }, + { + "epoch": 0.91, + "learning_rate": 1.9423857789259426e-07, + "loss": 0.8964, + "step": 13428 + }, + { + "epoch": 0.91, + "learning_rate": 1.939345636543455e-07, + "loss": 0.639, + "step": 13429 + }, + { + "epoch": 0.91, + "learning_rate": 1.9363078281244118e-07, + "loss": 0.8167, + "step": 13430 + }, + { + "epoch": 0.91, + "learning_rate": 1.933272353816329e-07, + "loss": 0.6944, + "step": 13431 + }, + { + "epoch": 0.91, + "learning_rate": 1.9302392137666383e-07, + "loss": 0.697, + "step": 13432 + }, + { + "epoch": 0.91, + "learning_rate": 1.9272084081226272e-07, + "loss": 0.6736, + "step": 13433 + }, + { + "epoch": 0.91, + "learning_rate": 1.9241799370314674e-07, + "loss": 0.5991, + "step": 13434 + }, + { + "epoch": 0.91, + "learning_rate": 1.9211538006402574e-07, + "loss": 0.8712, + "step": 13435 + }, + { + "epoch": 0.91, + "learning_rate": 1.9181299990959358e-07, + "loss": 0.5373, + "step": 13436 + }, + { + "epoch": 0.91, + "learning_rate": 1.9151085325453512e-07, + "loss": 0.5549, + "step": 13437 + }, + { + "epoch": 0.91, + "learning_rate": 1.9120894011352364e-07, + "loss": 0.7085, + "step": 13438 + }, + { + "epoch": 0.91, + "learning_rate": 1.9090726050122078e-07, + "loss": 0.7093, + "step": 13439 + }, + { + "epoch": 0.91, + "learning_rate": 1.9060581443227698e-07, + "loss": 0.5436, + "step": 13440 + }, + { + "epoch": 0.91, + "learning_rate": 1.9030460192133115e-07, + "loss": 0.7345, + "step": 13441 + }, + { + "epoch": 0.91, + "learning_rate": 1.9000362298301156e-07, + "loss": 0.7113, + "step": 13442 + }, + { + "epoch": 0.91, + "learning_rate": 1.897028776319343e-07, + "loss": 0.8718, + "step": 13443 + }, + { + "epoch": 0.91, + "learning_rate": 1.8940236588270433e-07, + "loss": 0.9042, + "step": 13444 + }, + { + "epoch": 0.91, + "learning_rate": 1.89102087749915e-07, + "loss": 0.5723, + "step": 13445 + }, + { + "epoch": 0.91, + "learning_rate": 1.888020432481502e-07, + "loss": 0.47, + "step": 13446 + }, + { + "epoch": 0.91, + "learning_rate": 1.8850223239197828e-07, + "loss": 0.6533, + "step": 13447 + }, + { + "epoch": 0.91, + "learning_rate": 1.8820265519596147e-07, + "loss": 0.7572, + "step": 13448 + }, + { + "epoch": 0.92, + "learning_rate": 1.8790331167464758e-07, + "loss": 0.5732, + "step": 13449 + }, + { + "epoch": 0.92, + "learning_rate": 1.876042018425722e-07, + "loss": 0.6639, + "step": 13450 + }, + { + "epoch": 0.92, + "learning_rate": 1.8730532571426208e-07, + "loss": 0.7525, + "step": 13451 + }, + { + "epoch": 0.92, + "learning_rate": 1.8700668330423223e-07, + "loss": 0.6766, + "step": 13452 + }, + { + "epoch": 0.92, + "learning_rate": 1.8670827462698381e-07, + "loss": 0.6129, + "step": 13453 + }, + { + "epoch": 0.92, + "learning_rate": 1.8641009969700917e-07, + "loss": 0.6903, + "step": 13454 + }, + { + "epoch": 0.92, + "learning_rate": 1.8611215852879005e-07, + "loss": 0.7696, + "step": 13455 + }, + { + "epoch": 0.92, + "learning_rate": 1.8581445113679208e-07, + "loss": 0.6725, + "step": 13456 + }, + { + "epoch": 0.92, + "learning_rate": 1.8551697753547594e-07, + "loss": 0.8552, + "step": 13457 + }, + { + "epoch": 0.92, + "learning_rate": 1.8521973773928613e-07, + "loss": 0.4689, + "step": 13458 + }, + { + "epoch": 0.92, + "learning_rate": 1.849227317626573e-07, + "loss": 0.817, + "step": 13459 + }, + { + "epoch": 0.92, + "learning_rate": 1.846259596200145e-07, + "loss": 0.66, + "step": 13460 + }, + { + "epoch": 0.92, + "learning_rate": 1.8432942132576792e-07, + "loss": 0.7822, + "step": 13461 + }, + { + "epoch": 0.92, + "learning_rate": 1.8403311689431934e-07, + "loss": 0.7931, + "step": 13462 + }, + { + "epoch": 0.92, + "learning_rate": 1.837370463400584e-07, + "loss": 0.9627, + "step": 13463 + }, + { + "epoch": 0.92, + "learning_rate": 1.8344120967736245e-07, + "loss": 0.8436, + "step": 13464 + }, + { + "epoch": 0.92, + "learning_rate": 1.8314560692059836e-07, + "loss": 0.4945, + "step": 13465 + }, + { + "epoch": 0.92, + "learning_rate": 1.8285023808412182e-07, + "loss": 0.7948, + "step": 13466 + }, + { + "epoch": 0.92, + "learning_rate": 1.8255510318227642e-07, + "loss": 0.7162, + "step": 13467 + }, + { + "epoch": 0.92, + "learning_rate": 1.8226020222939456e-07, + "loss": 0.7545, + "step": 13468 + }, + { + "epoch": 0.92, + "learning_rate": 1.819655352397981e-07, + "loss": 0.7483, + "step": 13469 + }, + { + "epoch": 0.92, + "learning_rate": 1.816711022277967e-07, + "loss": 0.5593, + "step": 13470 + }, + { + "epoch": 0.92, + "learning_rate": 1.8137690320768842e-07, + "loss": 0.6427, + "step": 13471 + }, + { + "epoch": 0.92, + "learning_rate": 1.8108293819376066e-07, + "loss": 0.7511, + "step": 13472 + }, + { + "epoch": 0.92, + "learning_rate": 1.807892072002898e-07, + "loss": 0.6999, + "step": 13473 + }, + { + "epoch": 0.92, + "learning_rate": 1.8049571024154e-07, + "loss": 0.6023, + "step": 13474 + }, + { + "epoch": 0.92, + "learning_rate": 1.8020244733176263e-07, + "loss": 0.7612, + "step": 13475 + }, + { + "epoch": 0.92, + "learning_rate": 1.7990941848520181e-07, + "loss": 0.7805, + "step": 13476 + }, + { + "epoch": 0.92, + "learning_rate": 1.7961662371608734e-07, + "loss": 0.5445, + "step": 13477 + }, + { + "epoch": 0.92, + "learning_rate": 1.793240630386367e-07, + "loss": 0.8389, + "step": 13478 + }, + { + "epoch": 0.92, + "learning_rate": 1.7903173646705908e-07, + "loss": 0.904, + "step": 13479 + }, + { + "epoch": 0.92, + "learning_rate": 1.7873964401555034e-07, + "loss": 0.7146, + "step": 13480 + }, + { + "epoch": 0.92, + "learning_rate": 1.7844778569829412e-07, + "loss": 0.5506, + "step": 13481 + }, + { + "epoch": 0.92, + "learning_rate": 1.7815616152946523e-07, + "loss": 0.484, + "step": 13482 + }, + { + "epoch": 0.92, + "learning_rate": 1.7786477152322623e-07, + "loss": 0.7824, + "step": 13483 + }, + { + "epoch": 0.92, + "learning_rate": 1.775736156937269e-07, + "loss": 0.6357, + "step": 13484 + }, + { + "epoch": 0.92, + "learning_rate": 1.772826940551059e-07, + "loss": 0.5926, + "step": 13485 + }, + { + "epoch": 0.92, + "learning_rate": 1.7699200662149253e-07, + "loss": 0.8447, + "step": 13486 + }, + { + "epoch": 0.92, + "learning_rate": 1.7670155340700323e-07, + "loss": 0.6811, + "step": 13487 + }, + { + "epoch": 0.92, + "learning_rate": 1.7641133442574232e-07, + "loss": 0.6403, + "step": 13488 + }, + { + "epoch": 0.92, + "learning_rate": 1.7612134969180462e-07, + "loss": 0.6488, + "step": 13489 + }, + { + "epoch": 0.92, + "learning_rate": 1.7583159921927217e-07, + "loss": 0.59, + "step": 13490 + }, + { + "epoch": 0.92, + "learning_rate": 1.7554208302221654e-07, + "loss": 0.9734, + "step": 13491 + }, + { + "epoch": 0.92, + "learning_rate": 1.75252801114697e-07, + "loss": 0.6157, + "step": 13492 + }, + { + "epoch": 0.92, + "learning_rate": 1.7496375351076178e-07, + "loss": 0.5697, + "step": 13493 + }, + { + "epoch": 0.92, + "learning_rate": 1.7467494022444853e-07, + "loss": 0.6416, + "step": 13494 + }, + { + "epoch": 0.92, + "learning_rate": 1.7438636126978213e-07, + "loss": 0.5758, + "step": 13495 + }, + { + "epoch": 0.92, + "learning_rate": 1.7409801666077697e-07, + "loss": 0.7517, + "step": 13496 + }, + { + "epoch": 0.92, + "learning_rate": 1.738099064114368e-07, + "loss": 0.5666, + "step": 13497 + }, + { + "epoch": 0.92, + "learning_rate": 1.7352203053575156e-07, + "loss": 0.7568, + "step": 13498 + }, + { + "epoch": 0.92, + "learning_rate": 1.7323438904770284e-07, + "loss": 0.5998, + "step": 13499 + }, + { + "epoch": 0.92, + "learning_rate": 1.7294698196125836e-07, + "loss": 0.5742, + "step": 13500 + }, + { + "epoch": 0.92, + "learning_rate": 1.726598092903753e-07, + "loss": 0.7345, + "step": 13501 + }, + { + "epoch": 0.92, + "learning_rate": 1.7237287104900023e-07, + "loss": 0.8279, + "step": 13502 + }, + { + "epoch": 0.92, + "learning_rate": 1.7208616725106818e-07, + "loss": 0.9305, + "step": 13503 + }, + { + "epoch": 0.92, + "learning_rate": 1.7179969791050023e-07, + "loss": 0.6064, + "step": 13504 + }, + { + "epoch": 0.92, + "learning_rate": 1.7151346304121019e-07, + "loss": 1.1368, + "step": 13505 + }, + { + "epoch": 0.92, + "learning_rate": 1.712274626570981e-07, + "loss": 0.775, + "step": 13506 + }, + { + "epoch": 0.92, + "learning_rate": 1.709416967720512e-07, + "loss": 0.8875, + "step": 13507 + }, + { + "epoch": 0.92, + "learning_rate": 1.7065616539995e-07, + "loss": 0.7733, + "step": 13508 + }, + { + "epoch": 0.92, + "learning_rate": 1.7037086855465902e-07, + "loss": 0.5595, + "step": 13509 + }, + { + "epoch": 0.92, + "learning_rate": 1.7008580625003212e-07, + "loss": 0.9023, + "step": 13510 + }, + { + "epoch": 0.92, + "learning_rate": 1.698009784999155e-07, + "loss": 0.5018, + "step": 13511 + }, + { + "epoch": 0.92, + "learning_rate": 1.6951638531813918e-07, + "loss": 0.6526, + "step": 13512 + }, + { + "epoch": 0.92, + "learning_rate": 1.6923202671852379e-07, + "loss": 0.6807, + "step": 13513 + }, + { + "epoch": 0.92, + "learning_rate": 1.6894790271487937e-07, + "loss": 0.6911, + "step": 13514 + }, + { + "epoch": 0.92, + "learning_rate": 1.6866401332100378e-07, + "loss": 0.9174, + "step": 13515 + }, + { + "epoch": 0.92, + "learning_rate": 1.683803585506827e-07, + "loss": 0.8064, + "step": 13516 + }, + { + "epoch": 0.92, + "learning_rate": 1.6809693841769226e-07, + "loss": 0.8043, + "step": 13517 + }, + { + "epoch": 0.92, + "learning_rate": 1.6781375293579538e-07, + "loss": 0.4793, + "step": 13518 + }, + { + "epoch": 0.92, + "learning_rate": 1.6753080211874496e-07, + "loss": 0.5983, + "step": 13519 + }, + { + "epoch": 0.92, + "learning_rate": 1.6724808598028108e-07, + "loss": 0.7329, + "step": 13520 + }, + { + "epoch": 0.92, + "learning_rate": 1.6696560453413446e-07, + "loss": 0.6209, + "step": 13521 + }, + { + "epoch": 0.92, + "learning_rate": 1.6668335779402246e-07, + "loss": 0.902, + "step": 13522 + }, + { + "epoch": 0.92, + "learning_rate": 1.6640134577365074e-07, + "loss": 1.0992, + "step": 13523 + }, + { + "epoch": 0.92, + "learning_rate": 1.6611956848671673e-07, + "loss": 0.3965, + "step": 13524 + }, + { + "epoch": 0.92, + "learning_rate": 1.6583802594690334e-07, + "loss": 0.6964, + "step": 13525 + }, + { + "epoch": 0.92, + "learning_rate": 1.6555671816788245e-07, + "loss": 0.9741, + "step": 13526 + }, + { + "epoch": 0.92, + "learning_rate": 1.652756451633164e-07, + "loss": 0.682, + "step": 13527 + }, + { + "epoch": 0.92, + "learning_rate": 1.649948069468543e-07, + "loss": 0.7066, + "step": 13528 + }, + { + "epoch": 0.92, + "learning_rate": 1.6471420353213362e-07, + "loss": 0.9182, + "step": 13529 + }, + { + "epoch": 0.92, + "learning_rate": 1.6443383493278287e-07, + "loss": 0.6822, + "step": 13530 + }, + { + "epoch": 0.92, + "learning_rate": 1.6415370116241725e-07, + "loss": 0.6609, + "step": 13531 + }, + { + "epoch": 0.92, + "learning_rate": 1.6387380223463922e-07, + "loss": 0.6542, + "step": 13532 + }, + { + "epoch": 0.92, + "learning_rate": 1.6359413816304405e-07, + "loss": 0.7796, + "step": 13533 + }, + { + "epoch": 0.92, + "learning_rate": 1.6331470896121082e-07, + "loss": 0.4767, + "step": 13534 + }, + { + "epoch": 0.92, + "learning_rate": 1.6303551464270985e-07, + "loss": 0.9832, + "step": 13535 + }, + { + "epoch": 0.92, + "learning_rate": 1.6275655522110078e-07, + "loss": 0.7288, + "step": 13536 + }, + { + "epoch": 0.92, + "learning_rate": 1.624778307099295e-07, + "loss": 0.9184, + "step": 13537 + }, + { + "epoch": 0.92, + "learning_rate": 1.621993411227324e-07, + "loss": 0.7191, + "step": 13538 + }, + { + "epoch": 0.92, + "learning_rate": 1.6192108647303307e-07, + "loss": 0.6324, + "step": 13539 + }, + { + "epoch": 0.92, + "learning_rate": 1.616430667743446e-07, + "loss": 0.6358, + "step": 13540 + }, + { + "epoch": 0.92, + "learning_rate": 1.6136528204016898e-07, + "loss": 0.6156, + "step": 13541 + }, + { + "epoch": 0.92, + "learning_rate": 1.6108773228399543e-07, + "loss": 0.7125, + "step": 13542 + }, + { + "epoch": 0.92, + "learning_rate": 1.6081041751930314e-07, + "loss": 0.8479, + "step": 13543 + }, + { + "epoch": 0.92, + "learning_rate": 1.6053333775955914e-07, + "loss": 0.6689, + "step": 13544 + }, + { + "epoch": 0.92, + "learning_rate": 1.6025649301821877e-07, + "loss": 0.6033, + "step": 13545 + }, + { + "epoch": 0.92, + "learning_rate": 1.599798833087268e-07, + "loss": 0.6655, + "step": 13546 + }, + { + "epoch": 0.92, + "learning_rate": 1.5970350864451645e-07, + "loss": 0.6617, + "step": 13547 + }, + { + "epoch": 0.92, + "learning_rate": 1.5942736903900913e-07, + "loss": 0.8355, + "step": 13548 + }, + { + "epoch": 0.92, + "learning_rate": 1.591514645056147e-07, + "loss": 0.945, + "step": 13549 + }, + { + "epoch": 0.92, + "learning_rate": 1.5887579505773244e-07, + "loss": 0.7623, + "step": 13550 + }, + { + "epoch": 0.92, + "learning_rate": 1.586003607087483e-07, + "loss": 0.8099, + "step": 13551 + }, + { + "epoch": 0.92, + "learning_rate": 1.583251614720399e-07, + "loss": 0.8967, + "step": 13552 + }, + { + "epoch": 0.92, + "learning_rate": 1.5805019736097105e-07, + "loss": 0.6879, + "step": 13553 + }, + { + "epoch": 0.92, + "learning_rate": 1.577754683888938e-07, + "loss": 1.1417, + "step": 13554 + }, + { + "epoch": 0.92, + "learning_rate": 1.575009745691508e-07, + "loss": 0.9734, + "step": 13555 + }, + { + "epoch": 0.92, + "learning_rate": 1.572267159150731e-07, + "loss": 0.6501, + "step": 13556 + }, + { + "epoch": 0.92, + "learning_rate": 1.569526924399778e-07, + "loss": 0.6894, + "step": 13557 + }, + { + "epoch": 0.92, + "learning_rate": 1.5667890415717257e-07, + "loss": 0.9924, + "step": 13558 + }, + { + "epoch": 0.92, + "learning_rate": 1.5640535107995457e-07, + "loss": 0.7039, + "step": 13559 + }, + { + "epoch": 0.92, + "learning_rate": 1.5613203322160708e-07, + "loss": 0.4789, + "step": 13560 + }, + { + "epoch": 0.92, + "learning_rate": 1.5585895059540336e-07, + "loss": 0.7678, + "step": 13561 + }, + { + "epoch": 0.92, + "learning_rate": 1.5558610321460554e-07, + "loss": 0.7769, + "step": 13562 + }, + { + "epoch": 0.92, + "learning_rate": 1.5531349109246364e-07, + "loss": 0.5682, + "step": 13563 + }, + { + "epoch": 0.92, + "learning_rate": 1.5504111424221646e-07, + "loss": 0.8599, + "step": 13564 + }, + { + "epoch": 0.92, + "learning_rate": 1.5476897267709178e-07, + "loss": 0.4811, + "step": 13565 + }, + { + "epoch": 0.92, + "learning_rate": 1.544970664103046e-07, + "loss": 0.696, + "step": 13566 + }, + { + "epoch": 0.92, + "learning_rate": 1.5422539545506043e-07, + "loss": 0.7461, + "step": 13567 + }, + { + "epoch": 0.92, + "learning_rate": 1.5395395982455263e-07, + "loss": 0.5996, + "step": 13568 + }, + { + "epoch": 0.92, + "learning_rate": 1.5368275953196177e-07, + "loss": 0.921, + "step": 13569 + }, + { + "epoch": 0.92, + "learning_rate": 1.534117945904584e-07, + "loss": 0.8143, + "step": 13570 + }, + { + "epoch": 0.92, + "learning_rate": 1.5314106501320258e-07, + "loss": 0.564, + "step": 13571 + }, + { + "epoch": 0.92, + "learning_rate": 1.528705708133399e-07, + "loss": 0.8268, + "step": 13572 + }, + { + "epoch": 0.92, + "learning_rate": 1.526003120040076e-07, + "loss": 0.8169, + "step": 13573 + }, + { + "epoch": 0.92, + "learning_rate": 1.5233028859832965e-07, + "loss": 0.6582, + "step": 13574 + }, + { + "epoch": 0.92, + "learning_rate": 1.5206050060942002e-07, + "loss": 0.8425, + "step": 13575 + }, + { + "epoch": 0.92, + "learning_rate": 1.5179094805037986e-07, + "loss": 0.6139, + "step": 13576 + }, + { + "epoch": 0.92, + "learning_rate": 1.5152163093429762e-07, + "loss": 0.7754, + "step": 13577 + }, + { + "epoch": 0.92, + "learning_rate": 1.5125254927425504e-07, + "loss": 0.7911, + "step": 13578 + }, + { + "epoch": 0.92, + "learning_rate": 1.5098370308331888e-07, + "loss": 0.7748, + "step": 13579 + }, + { + "epoch": 0.92, + "learning_rate": 1.5071509237454262e-07, + "loss": 0.8001, + "step": 13580 + }, + { + "epoch": 0.92, + "learning_rate": 1.5044671716097414e-07, + "loss": 0.6736, + "step": 13581 + }, + { + "epoch": 0.92, + "learning_rate": 1.5017857745564468e-07, + "loss": 0.8034, + "step": 13582 + }, + { + "epoch": 0.92, + "learning_rate": 1.4991067327157494e-07, + "loss": 0.7343, + "step": 13583 + }, + { + "epoch": 0.92, + "learning_rate": 1.4964300462177782e-07, + "loss": 0.7212, + "step": 13584 + }, + { + "epoch": 0.92, + "learning_rate": 1.493755715192502e-07, + "loss": 1.1079, + "step": 13585 + }, + { + "epoch": 0.92, + "learning_rate": 1.4910837397697886e-07, + "loss": 0.9971, + "step": 13586 + }, + { + "epoch": 0.92, + "learning_rate": 1.4884141200794233e-07, + "loss": 0.5434, + "step": 13587 + }, + { + "epoch": 0.92, + "learning_rate": 1.485746856251019e-07, + "loss": 0.5963, + "step": 13588 + }, + { + "epoch": 0.92, + "learning_rate": 1.483081948414128e-07, + "loss": 0.7294, + "step": 13589 + }, + { + "epoch": 0.92, + "learning_rate": 1.4804193966981517e-07, + "loss": 0.548, + "step": 13590 + }, + { + "epoch": 0.92, + "learning_rate": 1.4777592012324037e-07, + "loss": 0.7617, + "step": 13591 + }, + { + "epoch": 0.92, + "learning_rate": 1.4751013621460585e-07, + "loss": 0.8367, + "step": 13592 + }, + { + "epoch": 0.92, + "learning_rate": 1.4724458795681962e-07, + "loss": 0.5556, + "step": 13593 + }, + { + "epoch": 0.92, + "learning_rate": 1.4697927536277746e-07, + "loss": 0.562, + "step": 13594 + }, + { + "epoch": 0.92, + "learning_rate": 1.467141984453635e-07, + "loss": 0.7174, + "step": 13595 + }, + { + "epoch": 0.93, + "learning_rate": 1.4644935721745023e-07, + "loss": 0.6948, + "step": 13596 + }, + { + "epoch": 0.93, + "learning_rate": 1.4618475169190017e-07, + "loss": 0.6647, + "step": 13597 + }, + { + "epoch": 0.93, + "learning_rate": 1.45920381881563e-07, + "loss": 0.7967, + "step": 13598 + }, + { + "epoch": 0.93, + "learning_rate": 1.4565624779927568e-07, + "loss": 0.7069, + "step": 13599 + }, + { + "epoch": 0.93, + "learning_rate": 1.453923494578674e-07, + "loss": 0.4467, + "step": 13600 + }, + { + "epoch": 0.93, + "learning_rate": 1.4512868687015348e-07, + "loss": 0.692, + "step": 13601 + }, + { + "epoch": 0.93, + "learning_rate": 1.448652600489364e-07, + "loss": 0.62, + "step": 13602 + }, + { + "epoch": 0.93, + "learning_rate": 1.4460206900701102e-07, + "loss": 0.5966, + "step": 13603 + }, + { + "epoch": 0.93, + "learning_rate": 1.443391137571587e-07, + "loss": 0.7003, + "step": 13604 + }, + { + "epoch": 0.93, + "learning_rate": 1.4407639431214705e-07, + "loss": 0.6337, + "step": 13605 + }, + { + "epoch": 0.93, + "learning_rate": 1.438139106847364e-07, + "loss": 0.6954, + "step": 13606 + }, + { + "epoch": 0.93, + "learning_rate": 1.435516628876732e-07, + "loss": 0.6779, + "step": 13607 + }, + { + "epoch": 0.93, + "learning_rate": 1.4328965093369284e-07, + "loss": 0.6836, + "step": 13608 + }, + { + "epoch": 0.93, + "learning_rate": 1.4302787483551962e-07, + "loss": 0.6063, + "step": 13609 + }, + { + "epoch": 0.93, + "learning_rate": 1.427663346058661e-07, + "loss": 0.7437, + "step": 13610 + }, + { + "epoch": 0.93, + "learning_rate": 1.4250503025743268e-07, + "loss": 0.8444, + "step": 13611 + }, + { + "epoch": 0.93, + "learning_rate": 1.422439618029109e-07, + "loss": 0.4226, + "step": 13612 + }, + { + "epoch": 0.93, + "learning_rate": 1.4198312925497672e-07, + "loss": 0.7283, + "step": 13613 + }, + { + "epoch": 0.93, + "learning_rate": 1.417225326262983e-07, + "loss": 0.7691, + "step": 13614 + }, + { + "epoch": 0.93, + "learning_rate": 1.414621719295306e-07, + "loss": 0.7588, + "step": 13615 + }, + { + "epoch": 0.93, + "learning_rate": 1.4120204717731788e-07, + "loss": 0.7952, + "step": 13616 + }, + { + "epoch": 0.93, + "learning_rate": 1.4094215838229176e-07, + "loss": 0.5387, + "step": 13617 + }, + { + "epoch": 0.93, + "learning_rate": 1.4068250555707374e-07, + "loss": 0.6172, + "step": 13618 + }, + { + "epoch": 0.93, + "learning_rate": 1.4042308871427323e-07, + "loss": 0.4187, + "step": 13619 + }, + { + "epoch": 0.93, + "learning_rate": 1.4016390786648793e-07, + "loss": 0.5189, + "step": 13620 + }, + { + "epoch": 0.93, + "learning_rate": 1.3990496302630496e-07, + "loss": 0.4108, + "step": 13621 + }, + { + "epoch": 0.93, + "learning_rate": 1.396462542062993e-07, + "loss": 0.8374, + "step": 13622 + }, + { + "epoch": 0.93, + "learning_rate": 1.393877814190342e-07, + "loss": 0.426, + "step": 13623 + }, + { + "epoch": 0.93, + "learning_rate": 1.391295446770624e-07, + "loss": 0.8263, + "step": 13624 + }, + { + "epoch": 0.93, + "learning_rate": 1.388715439929239e-07, + "loss": 0.7882, + "step": 13625 + }, + { + "epoch": 0.93, + "learning_rate": 1.3861377937914922e-07, + "loss": 0.9142, + "step": 13626 + }, + { + "epoch": 0.93, + "learning_rate": 1.3835625084825387e-07, + "loss": 0.7455, + "step": 13627 + }, + { + "epoch": 0.93, + "learning_rate": 1.3809895841274624e-07, + "loss": 0.7334, + "step": 13628 + }, + { + "epoch": 0.93, + "learning_rate": 1.3784190208512127e-07, + "loss": 0.7712, + "step": 13629 + }, + { + "epoch": 0.93, + "learning_rate": 1.3758508187786069e-07, + "loss": 0.8397, + "step": 13630 + }, + { + "epoch": 0.93, + "learning_rate": 1.3732849780343727e-07, + "loss": 0.8232, + "step": 13631 + }, + { + "epoch": 0.93, + "learning_rate": 1.370721498743127e-07, + "loss": 0.758, + "step": 13632 + }, + { + "epoch": 0.93, + "learning_rate": 1.3681603810293375e-07, + "loss": 0.5973, + "step": 13633 + }, + { + "epoch": 0.93, + "learning_rate": 1.365601625017393e-07, + "loss": 0.7131, + "step": 13634 + }, + { + "epoch": 0.93, + "learning_rate": 1.3630452308315557e-07, + "loss": 0.5536, + "step": 13635 + }, + { + "epoch": 0.93, + "learning_rate": 1.3604911985959647e-07, + "loss": 1.0164, + "step": 13636 + }, + { + "epoch": 0.93, + "learning_rate": 1.3579395284346542e-07, + "loss": 0.8043, + "step": 13637 + }, + { + "epoch": 0.93, + "learning_rate": 1.3553902204715364e-07, + "loss": 0.7191, + "step": 13638 + }, + { + "epoch": 0.93, + "learning_rate": 1.3528432748304177e-07, + "loss": 0.5452, + "step": 13639 + }, + { + "epoch": 0.93, + "learning_rate": 1.350298691634988e-07, + "loss": 0.7481, + "step": 13640 + }, + { + "epoch": 0.93, + "learning_rate": 1.3477564710088097e-07, + "loss": 0.6521, + "step": 13641 + }, + { + "epoch": 0.93, + "learning_rate": 1.345216613075351e-07, + "loss": 0.6299, + "step": 13642 + }, + { + "epoch": 0.93, + "learning_rate": 1.3426791179579456e-07, + "loss": 0.7523, + "step": 13643 + }, + { + "epoch": 0.93, + "learning_rate": 1.3401439857798292e-07, + "loss": 0.8362, + "step": 13644 + }, + { + "epoch": 0.93, + "learning_rate": 1.3376112166641087e-07, + "loss": 0.8214, + "step": 13645 + }, + { + "epoch": 0.93, + "learning_rate": 1.3350808107337908e-07, + "loss": 0.8673, + "step": 13646 + }, + { + "epoch": 0.93, + "learning_rate": 1.33255276811175e-07, + "loss": 0.6353, + "step": 13647 + }, + { + "epoch": 0.93, + "learning_rate": 1.33002708892076e-07, + "loss": 0.6842, + "step": 13648 + }, + { + "epoch": 0.93, + "learning_rate": 1.3275037732834783e-07, + "loss": 0.6813, + "step": 13649 + }, + { + "epoch": 0.93, + "learning_rate": 1.3249828213224346e-07, + "loss": 0.8232, + "step": 13650 + }, + { + "epoch": 0.93, + "learning_rate": 1.3224642331600645e-07, + "loss": 0.5603, + "step": 13651 + }, + { + "epoch": 0.93, + "learning_rate": 1.3199480089186757e-07, + "loss": 0.746, + "step": 13652 + }, + { + "epoch": 0.93, + "learning_rate": 1.3174341487204478e-07, + "loss": 0.9067, + "step": 13653 + }, + { + "epoch": 0.93, + "learning_rate": 1.3149226526874837e-07, + "loss": 0.5765, + "step": 13654 + }, + { + "epoch": 0.93, + "learning_rate": 1.312413520941741e-07, + "loss": 0.6006, + "step": 13655 + }, + { + "epoch": 0.93, + "learning_rate": 1.3099067536050614e-07, + "loss": 0.7225, + "step": 13656 + }, + { + "epoch": 0.93, + "learning_rate": 1.3074023507991917e-07, + "loss": 0.7568, + "step": 13657 + }, + { + "epoch": 0.93, + "learning_rate": 1.3049003126457517e-07, + "loss": 0.8335, + "step": 13658 + }, + { + "epoch": 0.93, + "learning_rate": 1.3024006392662326e-07, + "loss": 0.3985, + "step": 13659 + }, + { + "epoch": 0.93, + "learning_rate": 1.2999033307820542e-07, + "loss": 0.501, + "step": 13660 + }, + { + "epoch": 0.93, + "learning_rate": 1.2974083873144637e-07, + "loss": 0.7787, + "step": 13661 + }, + { + "epoch": 0.93, + "learning_rate": 1.294915808984637e-07, + "loss": 0.5315, + "step": 13662 + }, + { + "epoch": 0.93, + "learning_rate": 1.2924255959136267e-07, + "loss": 0.5514, + "step": 13663 + }, + { + "epoch": 0.93, + "learning_rate": 1.289937748222353e-07, + "loss": 0.4598, + "step": 13664 + }, + { + "epoch": 0.93, + "learning_rate": 1.2874522660316412e-07, + "loss": 0.6406, + "step": 13665 + }, + { + "epoch": 0.93, + "learning_rate": 1.284969149462184e-07, + "loss": 0.6913, + "step": 13666 + }, + { + "epoch": 0.93, + "learning_rate": 1.2824883986345736e-07, + "loss": 0.8077, + "step": 13667 + }, + { + "epoch": 0.93, + "learning_rate": 1.2800100136692862e-07, + "loss": 0.8523, + "step": 13668 + }, + { + "epoch": 0.93, + "learning_rate": 1.2775339946866805e-07, + "loss": 0.7985, + "step": 13669 + }, + { + "epoch": 0.93, + "learning_rate": 1.2750603418069886e-07, + "loss": 0.7859, + "step": 13670 + }, + { + "epoch": 0.93, + "learning_rate": 1.2725890551503472e-07, + "loss": 0.6224, + "step": 13671 + }, + { + "epoch": 0.93, + "learning_rate": 1.2701201348367608e-07, + "loss": 0.5936, + "step": 13672 + }, + { + "epoch": 0.93, + "learning_rate": 1.267653580986139e-07, + "loss": 0.6909, + "step": 13673 + }, + { + "epoch": 0.93, + "learning_rate": 1.2651893937182635e-07, + "loss": 0.6522, + "step": 13674 + }, + { + "epoch": 0.93, + "learning_rate": 1.2627275731527832e-07, + "loss": 0.686, + "step": 13675 + }, + { + "epoch": 0.93, + "learning_rate": 1.2602681194092747e-07, + "loss": 0.8013, + "step": 13676 + }, + { + "epoch": 0.93, + "learning_rate": 1.2578110326071702e-07, + "loss": 0.4452, + "step": 13677 + }, + { + "epoch": 0.93, + "learning_rate": 1.2553563128657743e-07, + "loss": 0.533, + "step": 13678 + }, + { + "epoch": 0.93, + "learning_rate": 1.2529039603043248e-07, + "loss": 0.6405, + "step": 13679 + }, + { + "epoch": 0.93, + "learning_rate": 1.2504539750418988e-07, + "loss": 0.8219, + "step": 13680 + }, + { + "epoch": 0.93, + "learning_rate": 1.2480063571974677e-07, + "loss": 0.7513, + "step": 13681 + }, + { + "epoch": 0.93, + "learning_rate": 1.2455611068899086e-07, + "loss": 0.7249, + "step": 13682 + }, + { + "epoch": 0.93, + "learning_rate": 1.2431182242379713e-07, + "loss": 1.033, + "step": 13683 + }, + { + "epoch": 0.93, + "learning_rate": 1.240677709360272e-07, + "loss": 0.6473, + "step": 13684 + }, + { + "epoch": 0.93, + "learning_rate": 1.2382395623753484e-07, + "loss": 0.8576, + "step": 13685 + }, + { + "epoch": 0.93, + "learning_rate": 1.23580378340159e-07, + "loss": 0.7828, + "step": 13686 + }, + { + "epoch": 0.93, + "learning_rate": 1.233370372557291e-07, + "loss": 0.5408, + "step": 13687 + }, + { + "epoch": 0.93, + "learning_rate": 1.2309393299606233e-07, + "loss": 0.7802, + "step": 13688 + }, + { + "epoch": 0.93, + "learning_rate": 1.2285106557296479e-07, + "loss": 0.5023, + "step": 13689 + }, + { + "epoch": 0.93, + "learning_rate": 1.2260843499823094e-07, + "loss": 0.5671, + "step": 13690 + }, + { + "epoch": 0.93, + "learning_rate": 1.2236604128364305e-07, + "loss": 0.7941, + "step": 13691 + }, + { + "epoch": 0.93, + "learning_rate": 1.2212388444097278e-07, + "loss": 0.6988, + "step": 13692 + }, + { + "epoch": 0.93, + "learning_rate": 1.218819644819802e-07, + "loss": 0.54, + "step": 13693 + }, + { + "epoch": 0.93, + "learning_rate": 1.216402814184131e-07, + "loss": 0.4898, + "step": 13694 + }, + { + "epoch": 0.93, + "learning_rate": 1.2139883526200825e-07, + "loss": 0.6968, + "step": 13695 + }, + { + "epoch": 0.93, + "learning_rate": 1.2115762602449177e-07, + "loss": 0.6321, + "step": 13696 + }, + { + "epoch": 0.93, + "learning_rate": 1.2091665371757654e-07, + "loss": 0.4926, + "step": 13697 + }, + { + "epoch": 0.93, + "learning_rate": 1.20675918352966e-07, + "loss": 0.7361, + "step": 13698 + }, + { + "epoch": 0.93, + "learning_rate": 1.2043541994234963e-07, + "loss": 0.7997, + "step": 13699 + }, + { + "epoch": 0.93, + "learning_rate": 1.201951584974076e-07, + "loss": 0.9814, + "step": 13700 + }, + { + "epoch": 0.93, + "learning_rate": 1.1995513402980775e-07, + "loss": 0.78, + "step": 13701 + }, + { + "epoch": 0.93, + "learning_rate": 1.1971534655120631e-07, + "loss": 0.9426, + "step": 13702 + }, + { + "epoch": 0.93, + "learning_rate": 1.1947579607324678e-07, + "loss": 0.565, + "step": 13703 + }, + { + "epoch": 0.93, + "learning_rate": 1.1923648260756426e-07, + "loss": 0.7632, + "step": 13704 + }, + { + "epoch": 0.93, + "learning_rate": 1.1899740616578004e-07, + "loss": 0.8197, + "step": 13705 + }, + { + "epoch": 0.93, + "learning_rate": 1.1875856675950314e-07, + "loss": 0.6741, + "step": 13706 + }, + { + "epoch": 0.93, + "learning_rate": 1.185199644003332e-07, + "loss": 0.7278, + "step": 13707 + }, + { + "epoch": 0.93, + "learning_rate": 1.1828159909985814e-07, + "loss": 0.78, + "step": 13708 + }, + { + "epoch": 0.93, + "learning_rate": 1.1804347086965207e-07, + "loss": 0.93, + "step": 13709 + }, + { + "epoch": 0.93, + "learning_rate": 1.1780557972128014e-07, + "loss": 0.5624, + "step": 13710 + }, + { + "epoch": 0.93, + "learning_rate": 1.1756792566629538e-07, + "loss": 0.8194, + "step": 13711 + }, + { + "epoch": 0.93, + "learning_rate": 1.1733050871623852e-07, + "loss": 0.7704, + "step": 13712 + }, + { + "epoch": 0.93, + "learning_rate": 1.1709332888263869e-07, + "loss": 0.5362, + "step": 13713 + }, + { + "epoch": 0.93, + "learning_rate": 1.16856386177015e-07, + "loss": 0.7889, + "step": 13714 + }, + { + "epoch": 0.93, + "learning_rate": 1.1661968061087325e-07, + "loss": 0.708, + "step": 13715 + }, + { + "epoch": 0.93, + "learning_rate": 1.1638321219570869e-07, + "loss": 0.7134, + "step": 13716 + }, + { + "epoch": 0.93, + "learning_rate": 1.1614698094300547e-07, + "loss": 0.5489, + "step": 13717 + }, + { + "epoch": 0.93, + "learning_rate": 1.1591098686423497e-07, + "loss": 0.7429, + "step": 13718 + }, + { + "epoch": 0.93, + "learning_rate": 1.1567522997085856e-07, + "loss": 0.6791, + "step": 13719 + }, + { + "epoch": 0.93, + "learning_rate": 1.1543971027432433e-07, + "loss": 0.4782, + "step": 13720 + }, + { + "epoch": 0.93, + "learning_rate": 1.1520442778607032e-07, + "loss": 0.6291, + "step": 13721 + }, + { + "epoch": 0.93, + "learning_rate": 1.1496938251752244e-07, + "loss": 0.4202, + "step": 13722 + }, + { + "epoch": 0.93, + "learning_rate": 1.1473457448009484e-07, + "loss": 0.7235, + "step": 13723 + }, + { + "epoch": 0.93, + "learning_rate": 1.145000036851912e-07, + "loss": 0.6785, + "step": 13724 + }, + { + "epoch": 0.93, + "learning_rate": 1.1426567014420297e-07, + "loss": 0.732, + "step": 13725 + }, + { + "epoch": 0.93, + "learning_rate": 1.1403157386850827e-07, + "loss": 0.6606, + "step": 13726 + }, + { + "epoch": 0.93, + "learning_rate": 1.1379771486947799e-07, + "loss": 0.5208, + "step": 13727 + }, + { + "epoch": 0.93, + "learning_rate": 1.1356409315846806e-07, + "loss": 0.544, + "step": 13728 + }, + { + "epoch": 0.93, + "learning_rate": 1.1333070874682217e-07, + "loss": 0.5469, + "step": 13729 + }, + { + "epoch": 0.93, + "learning_rate": 1.1309756164587682e-07, + "loss": 0.7413, + "step": 13730 + }, + { + "epoch": 0.93, + "learning_rate": 1.1286465186695294e-07, + "loss": 0.7669, + "step": 13731 + }, + { + "epoch": 0.93, + "learning_rate": 1.1263197942136039e-07, + "loss": 0.7941, + "step": 13732 + }, + { + "epoch": 0.93, + "learning_rate": 1.1239954432040068e-07, + "loss": 0.9563, + "step": 13733 + }, + { + "epoch": 0.93, + "learning_rate": 1.1216734657536032e-07, + "loss": 0.6003, + "step": 13734 + }, + { + "epoch": 0.93, + "learning_rate": 1.119353861975142e-07, + "loss": 0.8111, + "step": 13735 + }, + { + "epoch": 0.93, + "learning_rate": 1.1170366319812942e-07, + "loss": 0.9071, + "step": 13736 + }, + { + "epoch": 0.93, + "learning_rate": 1.1147217758845752e-07, + "loss": 0.6423, + "step": 13737 + }, + { + "epoch": 0.93, + "learning_rate": 1.1124092937974007e-07, + "loss": 0.7523, + "step": 13738 + }, + { + "epoch": 0.93, + "learning_rate": 1.1100991858320865e-07, + "loss": 0.8587, + "step": 13739 + }, + { + "epoch": 0.93, + "learning_rate": 1.1077914521007981e-07, + "loss": 0.7406, + "step": 13740 + }, + { + "epoch": 0.93, + "learning_rate": 1.105486092715624e-07, + "loss": 0.8747, + "step": 13741 + }, + { + "epoch": 0.93, + "learning_rate": 1.1031831077885024e-07, + "loss": 0.7481, + "step": 13742 + }, + { + "epoch": 0.94, + "learning_rate": 1.1008824974312827e-07, + "loss": 0.4853, + "step": 13743 + }, + { + "epoch": 0.94, + "learning_rate": 1.0985842617556919e-07, + "loss": 0.6771, + "step": 13744 + }, + { + "epoch": 0.94, + "learning_rate": 1.0962884008733299e-07, + "loss": 0.4416, + "step": 13745 + }, + { + "epoch": 0.94, + "learning_rate": 1.0939949148956908e-07, + "loss": 0.5441, + "step": 13746 + }, + { + "epoch": 0.94, + "learning_rate": 1.0917038039341632e-07, + "loss": 0.662, + "step": 13747 + }, + { + "epoch": 0.94, + "learning_rate": 1.0894150681000026e-07, + "loss": 0.7351, + "step": 13748 + }, + { + "epoch": 0.94, + "learning_rate": 1.0871287075043534e-07, + "loss": 0.87, + "step": 13749 + }, + { + "epoch": 0.94, + "learning_rate": 1.0848447222582604e-07, + "loss": 0.7645, + "step": 13750 + }, + { + "epoch": 0.94, + "learning_rate": 1.0825631124726233e-07, + "loss": 0.7249, + "step": 13751 + }, + { + "epoch": 0.94, + "learning_rate": 1.0802838782582537e-07, + "loss": 0.5886, + "step": 13752 + }, + { + "epoch": 0.94, + "learning_rate": 1.0780070197258408e-07, + "loss": 0.9479, + "step": 13753 + }, + { + "epoch": 0.94, + "learning_rate": 1.0757325369859462e-07, + "loss": 0.7245, + "step": 13754 + }, + { + "epoch": 0.94, + "learning_rate": 1.0734604301490315e-07, + "loss": 0.5961, + "step": 13755 + }, + { + "epoch": 0.94, + "learning_rate": 1.0711906993254417e-07, + "loss": 0.4877, + "step": 13756 + }, + { + "epoch": 0.94, + "learning_rate": 1.0689233446253832e-07, + "loss": 0.2953, + "step": 13757 + }, + { + "epoch": 0.94, + "learning_rate": 1.0666583661589847e-07, + "loss": 0.5562, + "step": 13758 + }, + { + "epoch": 0.94, + "learning_rate": 1.0643957640362356e-07, + "loss": 0.72, + "step": 13759 + }, + { + "epoch": 0.94, + "learning_rate": 1.0621355383670095e-07, + "loss": 0.6682, + "step": 13760 + }, + { + "epoch": 0.94, + "learning_rate": 1.0598776892610685e-07, + "loss": 0.6067, + "step": 13761 + }, + { + "epoch": 0.94, + "learning_rate": 1.0576222168280636e-07, + "loss": 0.8323, + "step": 13762 + }, + { + "epoch": 0.94, + "learning_rate": 1.0553691211775242e-07, + "loss": 0.7241, + "step": 13763 + }, + { + "epoch": 0.94, + "learning_rate": 1.0531184024188679e-07, + "loss": 0.957, + "step": 13764 + }, + { + "epoch": 0.94, + "learning_rate": 1.050870060661402e-07, + "loss": 0.6071, + "step": 13765 + }, + { + "epoch": 0.94, + "learning_rate": 1.0486240960143057e-07, + "loss": 0.737, + "step": 13766 + }, + { + "epoch": 0.94, + "learning_rate": 1.046380508586653e-07, + "loss": 0.6145, + "step": 13767 + }, + { + "epoch": 0.94, + "learning_rate": 1.0441392984874011e-07, + "loss": 0.6753, + "step": 13768 + }, + { + "epoch": 0.94, + "learning_rate": 1.0419004658253795e-07, + "loss": 0.6168, + "step": 13769 + }, + { + "epoch": 0.94, + "learning_rate": 1.0396640107093237e-07, + "loss": 0.7675, + "step": 13770 + }, + { + "epoch": 0.94, + "learning_rate": 1.0374299332478355e-07, + "loss": 0.6336, + "step": 13771 + }, + { + "epoch": 0.94, + "learning_rate": 1.0351982335494115e-07, + "loss": 0.8116, + "step": 13772 + }, + { + "epoch": 0.94, + "learning_rate": 1.0329689117224262e-07, + "loss": 0.6973, + "step": 13773 + }, + { + "epoch": 0.94, + "learning_rate": 1.030741967875143e-07, + "loss": 0.547, + "step": 13774 + }, + { + "epoch": 0.94, + "learning_rate": 1.0285174021157141e-07, + "loss": 0.9166, + "step": 13775 + }, + { + "epoch": 0.94, + "learning_rate": 1.0262952145521643e-07, + "loss": 0.61, + "step": 13776 + }, + { + "epoch": 0.94, + "learning_rate": 1.0240754052924073e-07, + "loss": 0.8183, + "step": 13777 + }, + { + "epoch": 0.94, + "learning_rate": 1.021857974444257e-07, + "loss": 0.5998, + "step": 13778 + }, + { + "epoch": 0.94, + "learning_rate": 1.0196429221153825e-07, + "loss": 0.6155, + "step": 13779 + }, + { + "epoch": 0.94, + "learning_rate": 1.0174302484133592e-07, + "loss": 0.7154, + "step": 13780 + }, + { + "epoch": 0.94, + "learning_rate": 1.0152199534456453e-07, + "loss": 0.5896, + "step": 13781 + }, + { + "epoch": 0.94, + "learning_rate": 1.0130120373195718e-07, + "loss": 0.7344, + "step": 13782 + }, + { + "epoch": 0.94, + "learning_rate": 1.0108065001423584e-07, + "loss": 0.2646, + "step": 13783 + }, + { + "epoch": 0.94, + "learning_rate": 1.008603342021125e-07, + "loss": 0.6567, + "step": 13784 + }, + { + "epoch": 0.94, + "learning_rate": 1.0064025630628583e-07, + "loss": 0.5837, + "step": 13785 + }, + { + "epoch": 0.94, + "learning_rate": 1.0042041633744226e-07, + "loss": 0.575, + "step": 13786 + }, + { + "epoch": 0.94, + "learning_rate": 1.002008143062605e-07, + "loss": 0.9041, + "step": 13787 + }, + { + "epoch": 0.94, + "learning_rate": 9.998145022340255e-08, + "loss": 0.9594, + "step": 13788 + }, + { + "epoch": 0.94, + "learning_rate": 9.976232409952214e-08, + "loss": 0.7973, + "step": 13789 + }, + { + "epoch": 0.94, + "learning_rate": 9.954343594526072e-08, + "loss": 0.6352, + "step": 13790 + }, + { + "epoch": 0.94, + "learning_rate": 9.932478577124815e-08, + "loss": 0.7629, + "step": 13791 + }, + { + "epoch": 0.94, + "learning_rate": 9.910637358810316e-08, + "loss": 0.8433, + "step": 13792 + }, + { + "epoch": 0.94, + "learning_rate": 9.888819940643169e-08, + "loss": 0.3339, + "step": 13793 + }, + { + "epoch": 0.94, + "learning_rate": 9.867026323682971e-08, + "loss": 0.7574, + "step": 13794 + }, + { + "epoch": 0.94, + "learning_rate": 9.845256508987988e-08, + "loss": 0.859, + "step": 13795 + }, + { + "epoch": 0.94, + "learning_rate": 9.823510497615485e-08, + "loss": 0.7936, + "step": 13796 + }, + { + "epoch": 0.94, + "learning_rate": 9.801788290621505e-08, + "loss": 0.728, + "step": 13797 + }, + { + "epoch": 0.94, + "learning_rate": 9.780089889060984e-08, + "loss": 0.44, + "step": 13798 + }, + { + "epoch": 0.94, + "learning_rate": 9.758415293987523e-08, + "loss": 0.6322, + "step": 13799 + }, + { + "epoch": 0.94, + "learning_rate": 9.736764506453832e-08, + "loss": 0.7583, + "step": 13800 + }, + { + "epoch": 0.94, + "learning_rate": 9.715137527511298e-08, + "loss": 0.8232, + "step": 13801 + }, + { + "epoch": 0.94, + "learning_rate": 9.693534358210133e-08, + "loss": 0.8563, + "step": 13802 + }, + { + "epoch": 0.94, + "learning_rate": 9.671954999599554e-08, + "loss": 0.4745, + "step": 13803 + }, + { + "epoch": 0.94, + "learning_rate": 9.650399452727499e-08, + "loss": 0.6617, + "step": 13804 + }, + { + "epoch": 0.94, + "learning_rate": 9.628867718640633e-08, + "loss": 0.6938, + "step": 13805 + }, + { + "epoch": 0.94, + "learning_rate": 9.607359798384785e-08, + "loss": 0.8403, + "step": 13806 + }, + { + "epoch": 0.94, + "learning_rate": 9.585875693004343e-08, + "loss": 0.8198, + "step": 13807 + }, + { + "epoch": 0.94, + "learning_rate": 9.564415403542581e-08, + "loss": 0.6788, + "step": 13808 + }, + { + "epoch": 0.94, + "learning_rate": 9.542978931041835e-08, + "loss": 0.4985, + "step": 13809 + }, + { + "epoch": 0.94, + "learning_rate": 9.521566276542993e-08, + "loss": 0.5774, + "step": 13810 + }, + { + "epoch": 0.94, + "learning_rate": 9.50017744108589e-08, + "loss": 0.8288, + "step": 13811 + }, + { + "epoch": 0.94, + "learning_rate": 9.478812425709361e-08, + "loss": 0.6501, + "step": 13812 + }, + { + "epoch": 0.94, + "learning_rate": 9.457471231450855e-08, + "loss": 0.7263, + "step": 13813 + }, + { + "epoch": 0.94, + "learning_rate": 9.436153859346708e-08, + "loss": 0.6868, + "step": 13814 + }, + { + "epoch": 0.94, + "learning_rate": 9.414860310432317e-08, + "loss": 0.5926, + "step": 13815 + }, + { + "epoch": 0.94, + "learning_rate": 9.393590585741686e-08, + "loss": 0.515, + "step": 13816 + }, + { + "epoch": 0.94, + "learning_rate": 9.372344686307655e-08, + "loss": 0.7877, + "step": 13817 + }, + { + "epoch": 0.94, + "learning_rate": 9.351122613162123e-08, + "loss": 0.4546, + "step": 13818 + }, + { + "epoch": 0.94, + "learning_rate": 9.329924367335541e-08, + "loss": 0.6831, + "step": 13819 + }, + { + "epoch": 0.94, + "learning_rate": 9.308749949857476e-08, + "loss": 1.019, + "step": 13820 + }, + { + "epoch": 0.94, + "learning_rate": 9.287599361756217e-08, + "loss": 0.5566, + "step": 13821 + }, + { + "epoch": 0.94, + "learning_rate": 9.26647260405883e-08, + "loss": 0.7475, + "step": 13822 + }, + { + "epoch": 0.94, + "learning_rate": 9.245369677791271e-08, + "loss": 0.6303, + "step": 13823 + }, + { + "epoch": 0.94, + "learning_rate": 9.224290583978446e-08, + "loss": 0.6842, + "step": 13824 + }, + { + "epoch": 0.94, + "learning_rate": 9.203235323644034e-08, + "loss": 0.6684, + "step": 13825 + }, + { + "epoch": 0.94, + "learning_rate": 9.182203897810438e-08, + "loss": 0.5324, + "step": 13826 + }, + { + "epoch": 0.94, + "learning_rate": 9.16119630749901e-08, + "loss": 0.6971, + "step": 13827 + }, + { + "epoch": 0.94, + "learning_rate": 9.140212553730044e-08, + "loss": 0.7876, + "step": 13828 + }, + { + "epoch": 0.94, + "learning_rate": 9.119252637522502e-08, + "loss": 0.6914, + "step": 13829 + }, + { + "epoch": 0.94, + "learning_rate": 9.098316559894237e-08, + "loss": 0.5742, + "step": 13830 + }, + { + "epoch": 0.94, + "learning_rate": 9.077404321861993e-08, + "loss": 0.9357, + "step": 13831 + }, + { + "epoch": 0.94, + "learning_rate": 9.056515924441345e-08, + "loss": 0.4946, + "step": 13832 + }, + { + "epoch": 0.94, + "learning_rate": 9.035651368646647e-08, + "loss": 0.5699, + "step": 13833 + }, + { + "epoch": 0.94, + "learning_rate": 9.014810655491202e-08, + "loss": 0.6892, + "step": 13834 + }, + { + "epoch": 0.94, + "learning_rate": 8.993993785987088e-08, + "loss": 0.8741, + "step": 13835 + }, + { + "epoch": 0.94, + "learning_rate": 8.973200761145162e-08, + "loss": 0.6101, + "step": 13836 + }, + { + "epoch": 0.94, + "learning_rate": 8.95243158197523e-08, + "loss": 0.7299, + "step": 13837 + }, + { + "epoch": 0.94, + "learning_rate": 8.931686249485927e-08, + "loss": 0.8944, + "step": 13838 + }, + { + "epoch": 0.94, + "learning_rate": 8.910964764684671e-08, + "loss": 0.6923, + "step": 13839 + }, + { + "epoch": 0.94, + "learning_rate": 8.890267128577768e-08, + "loss": 0.8533, + "step": 13840 + }, + { + "epoch": 0.94, + "learning_rate": 8.869593342170412e-08, + "loss": 0.6746, + "step": 13841 + }, + { + "epoch": 0.94, + "learning_rate": 8.84894340646647e-08, + "loss": 0.7097, + "step": 13842 + }, + { + "epoch": 0.94, + "learning_rate": 8.82831732246886e-08, + "loss": 0.4369, + "step": 13843 + }, + { + "epoch": 0.94, + "learning_rate": 8.807715091179226e-08, + "loss": 0.741, + "step": 13844 + }, + { + "epoch": 0.94, + "learning_rate": 8.787136713598043e-08, + "loss": 0.8253, + "step": 13845 + }, + { + "epoch": 0.94, + "learning_rate": 8.766582190724627e-08, + "loss": 0.7126, + "step": 13846 + }, + { + "epoch": 0.94, + "learning_rate": 8.746051523557231e-08, + "loss": 1.1977, + "step": 13847 + }, + { + "epoch": 0.94, + "learning_rate": 8.725544713092837e-08, + "loss": 0.4551, + "step": 13848 + }, + { + "epoch": 0.94, + "learning_rate": 8.705061760327372e-08, + "loss": 0.6239, + "step": 13849 + }, + { + "epoch": 0.94, + "learning_rate": 8.684602666255482e-08, + "loss": 0.443, + "step": 13850 + }, + { + "epoch": 0.94, + "learning_rate": 8.664167431870762e-08, + "loss": 0.3997, + "step": 13851 + }, + { + "epoch": 0.94, + "learning_rate": 8.643756058165587e-08, + "loss": 0.6918, + "step": 13852 + }, + { + "epoch": 0.94, + "learning_rate": 8.623368546131217e-08, + "loss": 0.7079, + "step": 13853 + }, + { + "epoch": 0.94, + "learning_rate": 8.603004896757694e-08, + "loss": 1.0789, + "step": 13854 + }, + { + "epoch": 0.94, + "learning_rate": 8.58266511103395e-08, + "loss": 0.6854, + "step": 13855 + }, + { + "epoch": 0.94, + "learning_rate": 8.562349189947695e-08, + "loss": 0.6827, + "step": 13856 + }, + { + "epoch": 0.94, + "learning_rate": 8.542057134485638e-08, + "loss": 0.7601, + "step": 13857 + }, + { + "epoch": 0.94, + "learning_rate": 8.521788945633103e-08, + "loss": 0.8055, + "step": 13858 + }, + { + "epoch": 0.94, + "learning_rate": 8.501544624374413e-08, + "loss": 0.727, + "step": 13859 + }, + { + "epoch": 0.94, + "learning_rate": 8.481324171692785e-08, + "loss": 0.5935, + "step": 13860 + }, + { + "epoch": 0.94, + "learning_rate": 8.461127588570039e-08, + "loss": 0.6462, + "step": 13861 + }, + { + "epoch": 0.94, + "learning_rate": 8.440954875987007e-08, + "loss": 0.6988, + "step": 13862 + }, + { + "epoch": 0.94, + "learning_rate": 8.420806034923401e-08, + "loss": 0.542, + "step": 13863 + }, + { + "epoch": 0.94, + "learning_rate": 8.400681066357718e-08, + "loss": 0.5691, + "step": 13864 + }, + { + "epoch": 0.94, + "learning_rate": 8.380579971267178e-08, + "loss": 0.7736, + "step": 13865 + }, + { + "epoch": 0.94, + "learning_rate": 8.360502750627996e-08, + "loss": 0.6063, + "step": 13866 + }, + { + "epoch": 0.94, + "learning_rate": 8.34044940541523e-08, + "loss": 0.5184, + "step": 13867 + }, + { + "epoch": 0.94, + "learning_rate": 8.320419936602708e-08, + "loss": 0.7712, + "step": 13868 + }, + { + "epoch": 0.94, + "learning_rate": 8.300414345163043e-08, + "loss": 0.5982, + "step": 13869 + }, + { + "epoch": 0.94, + "learning_rate": 8.280432632067848e-08, + "loss": 0.8248, + "step": 13870 + }, + { + "epoch": 0.94, + "learning_rate": 8.26047479828751e-08, + "loss": 0.8361, + "step": 13871 + }, + { + "epoch": 0.94, + "learning_rate": 8.240540844791145e-08, + "loss": 0.7039, + "step": 13872 + }, + { + "epoch": 0.94, + "learning_rate": 8.220630772546812e-08, + "loss": 0.7395, + "step": 13873 + }, + { + "epoch": 0.94, + "learning_rate": 8.20074458252157e-08, + "loss": 0.6393, + "step": 13874 + }, + { + "epoch": 0.94, + "learning_rate": 8.180882275680868e-08, + "loss": 0.4549, + "step": 13875 + }, + { + "epoch": 0.94, + "learning_rate": 8.161043852989492e-08, + "loss": 0.5602, + "step": 13876 + }, + { + "epoch": 0.94, + "learning_rate": 8.141229315410837e-08, + "loss": 0.5818, + "step": 13877 + }, + { + "epoch": 0.94, + "learning_rate": 8.121438663907022e-08, + "loss": 0.8655, + "step": 13878 + }, + { + "epoch": 0.94, + "learning_rate": 8.101671899439279e-08, + "loss": 0.6907, + "step": 13879 + }, + { + "epoch": 0.94, + "learning_rate": 8.081929022967505e-08, + "loss": 0.5788, + "step": 13880 + }, + { + "epoch": 0.94, + "learning_rate": 8.06221003545038e-08, + "loss": 0.6937, + "step": 13881 + }, + { + "epoch": 0.94, + "learning_rate": 8.042514937845691e-08, + "loss": 0.7281, + "step": 13882 + }, + { + "epoch": 0.94, + "learning_rate": 8.022843731109676e-08, + "loss": 0.781, + "step": 13883 + }, + { + "epoch": 0.94, + "learning_rate": 8.003196416197734e-08, + "loss": 0.7569, + "step": 13884 + }, + { + "epoch": 0.94, + "learning_rate": 7.983572994064049e-08, + "loss": 0.547, + "step": 13885 + }, + { + "epoch": 0.94, + "learning_rate": 7.963973465661523e-08, + "loss": 0.6916, + "step": 13886 + }, + { + "epoch": 0.94, + "learning_rate": 7.944397831941952e-08, + "loss": 0.9438, + "step": 13887 + }, + { + "epoch": 0.94, + "learning_rate": 7.92484609385602e-08, + "loss": 0.7109, + "step": 13888 + }, + { + "epoch": 0.94, + "learning_rate": 7.905318252353189e-08, + "loss": 0.7, + "step": 13889 + }, + { + "epoch": 0.95, + "learning_rate": 7.885814308381811e-08, + "loss": 0.5523, + "step": 13890 + }, + { + "epoch": 0.95, + "learning_rate": 7.866334262889075e-08, + "loss": 0.9139, + "step": 13891 + }, + { + "epoch": 0.95, + "learning_rate": 7.846878116820944e-08, + "loss": 0.7188, + "step": 13892 + }, + { + "epoch": 0.95, + "learning_rate": 7.82744587112222e-08, + "loss": 0.6805, + "step": 13893 + }, + { + "epoch": 0.95, + "learning_rate": 7.8080375267367e-08, + "loss": 0.8981, + "step": 13894 + }, + { + "epoch": 0.95, + "learning_rate": 7.788653084606856e-08, + "loss": 0.805, + "step": 13895 + }, + { + "epoch": 0.95, + "learning_rate": 7.769292545674045e-08, + "loss": 0.7015, + "step": 13896 + }, + { + "epoch": 0.95, + "learning_rate": 7.749955910878459e-08, + "loss": 0.8302, + "step": 13897 + }, + { + "epoch": 0.95, + "learning_rate": 7.730643181159181e-08, + "loss": 0.7947, + "step": 13898 + }, + { + "epoch": 0.95, + "learning_rate": 7.711354357454071e-08, + "loss": 0.8193, + "step": 13899 + }, + { + "epoch": 0.95, + "learning_rate": 7.692089440699824e-08, + "loss": 0.6818, + "step": 13900 + }, + { + "epoch": 0.95, + "learning_rate": 7.672848431832081e-08, + "loss": 0.5066, + "step": 13901 + }, + { + "epoch": 0.95, + "learning_rate": 7.65363133178515e-08, + "loss": 0.7619, + "step": 13902 + }, + { + "epoch": 0.95, + "learning_rate": 7.634438141492284e-08, + "loss": 0.9436, + "step": 13903 + }, + { + "epoch": 0.95, + "learning_rate": 7.615268861885572e-08, + "loss": 0.6343, + "step": 13904 + }, + { + "epoch": 0.95, + "learning_rate": 7.59612349389599e-08, + "loss": 0.589, + "step": 13905 + }, + { + "epoch": 0.95, + "learning_rate": 7.577002038453185e-08, + "loss": 0.7792, + "step": 13906 + }, + { + "epoch": 0.95, + "learning_rate": 7.557904496485801e-08, + "loss": 0.6633, + "step": 13907 + }, + { + "epoch": 0.95, + "learning_rate": 7.53883086892132e-08, + "loss": 0.6302, + "step": 13908 + }, + { + "epoch": 0.95, + "learning_rate": 7.519781156685946e-08, + "loss": 0.6383, + "step": 13909 + }, + { + "epoch": 0.95, + "learning_rate": 7.500755360704771e-08, + "loss": 0.8652, + "step": 13910 + }, + { + "epoch": 0.95, + "learning_rate": 7.481753481901832e-08, + "loss": 1.0095, + "step": 13911 + }, + { + "epoch": 0.95, + "learning_rate": 7.46277552119984e-08, + "loss": 0.8124, + "step": 13912 + }, + { + "epoch": 0.95, + "learning_rate": 7.443821479520441e-08, + "loss": 0.6538, + "step": 13913 + }, + { + "epoch": 0.95, + "learning_rate": 7.42489135778407e-08, + "loss": 0.79, + "step": 13914 + }, + { + "epoch": 0.95, + "learning_rate": 7.405985156910045e-08, + "loss": 0.6306, + "step": 13915 + }, + { + "epoch": 0.95, + "learning_rate": 7.387102877816521e-08, + "loss": 0.5176, + "step": 13916 + }, + { + "epoch": 0.95, + "learning_rate": 7.368244521420486e-08, + "loss": 0.772, + "step": 13917 + }, + { + "epoch": 0.95, + "learning_rate": 7.349410088637766e-08, + "loss": 0.8071, + "step": 13918 + }, + { + "epoch": 0.95, + "learning_rate": 7.330599580382957e-08, + "loss": 0.8732, + "step": 13919 + }, + { + "epoch": 0.95, + "learning_rate": 7.311812997569556e-08, + "loss": 0.7986, + "step": 13920 + }, + { + "epoch": 0.95, + "learning_rate": 7.293050341109942e-08, + "loss": 0.6288, + "step": 13921 + }, + { + "epoch": 0.95, + "learning_rate": 7.274311611915275e-08, + "loss": 0.5093, + "step": 13922 + }, + { + "epoch": 0.95, + "learning_rate": 7.255596810895548e-08, + "loss": 0.7157, + "step": 13923 + }, + { + "epoch": 0.95, + "learning_rate": 7.236905938959593e-08, + "loss": 0.9264, + "step": 13924 + }, + { + "epoch": 0.95, + "learning_rate": 7.218238997015071e-08, + "loss": 0.583, + "step": 13925 + }, + { + "epoch": 0.95, + "learning_rate": 7.199595985968589e-08, + "loss": 0.7046, + "step": 13926 + }, + { + "epoch": 0.95, + "learning_rate": 7.180976906725423e-08, + "loss": 0.7996, + "step": 13927 + }, + { + "epoch": 0.95, + "learning_rate": 7.162381760189852e-08, + "loss": 0.7181, + "step": 13928 + }, + { + "epoch": 0.95, + "learning_rate": 7.143810547264762e-08, + "loss": 0.9356, + "step": 13929 + }, + { + "epoch": 0.95, + "learning_rate": 7.125263268852211e-08, + "loss": 0.9234, + "step": 13930 + }, + { + "epoch": 0.95, + "learning_rate": 7.106739925852757e-08, + "loss": 0.6928, + "step": 13931 + }, + { + "epoch": 0.95, + "learning_rate": 7.088240519165956e-08, + "loss": 0.806, + "step": 13932 + }, + { + "epoch": 0.95, + "learning_rate": 7.069765049690369e-08, + "loss": 0.4309, + "step": 13933 + }, + { + "epoch": 0.95, + "learning_rate": 7.051313518323e-08, + "loss": 0.5452, + "step": 13934 + }, + { + "epoch": 0.95, + "learning_rate": 7.03288592596002e-08, + "loss": 0.6934, + "step": 13935 + }, + { + "epoch": 0.95, + "learning_rate": 7.014482273496326e-08, + "loss": 0.7183, + "step": 13936 + }, + { + "epoch": 0.95, + "learning_rate": 6.996102561825591e-08, + "loss": 0.8918, + "step": 13937 + }, + { + "epoch": 0.95, + "learning_rate": 6.977746791840434e-08, + "loss": 0.6451, + "step": 13938 + }, + { + "epoch": 0.95, + "learning_rate": 6.959414964432309e-08, + "loss": 0.6296, + "step": 13939 + }, + { + "epoch": 0.95, + "learning_rate": 6.941107080491339e-08, + "loss": 0.579, + "step": 13940 + }, + { + "epoch": 0.95, + "learning_rate": 6.922823140906754e-08, + "loss": 0.6855, + "step": 13941 + }, + { + "epoch": 0.95, + "learning_rate": 6.904563146566345e-08, + "loss": 0.4571, + "step": 13942 + }, + { + "epoch": 0.95, + "learning_rate": 6.886327098356905e-08, + "loss": 0.7191, + "step": 13943 + }, + { + "epoch": 0.95, + "learning_rate": 6.868114997164055e-08, + "loss": 0.8252, + "step": 13944 + }, + { + "epoch": 0.95, + "learning_rate": 6.849926843872257e-08, + "loss": 0.6309, + "step": 13945 + }, + { + "epoch": 0.95, + "learning_rate": 6.831762639364691e-08, + "loss": 0.6703, + "step": 13946 + }, + { + "epoch": 0.95, + "learning_rate": 6.813622384523543e-08, + "loss": 0.8195, + "step": 13947 + }, + { + "epoch": 0.95, + "learning_rate": 6.795506080229774e-08, + "loss": 0.8169, + "step": 13948 + }, + { + "epoch": 0.95, + "learning_rate": 6.777413727363069e-08, + "loss": 0.5578, + "step": 13949 + }, + { + "epoch": 0.95, + "learning_rate": 6.759345326802113e-08, + "loss": 0.5247, + "step": 13950 + }, + { + "epoch": 0.95, + "learning_rate": 6.741300879424262e-08, + "loss": 0.7933, + "step": 13951 + }, + { + "epoch": 0.95, + "learning_rate": 6.723280386105979e-08, + "loss": 0.7818, + "step": 13952 + }, + { + "epoch": 0.95, + "learning_rate": 6.705283847722288e-08, + "loss": 0.6211, + "step": 13953 + }, + { + "epoch": 0.95, + "learning_rate": 6.687311265147045e-08, + "loss": 0.6481, + "step": 13954 + }, + { + "epoch": 0.95, + "learning_rate": 6.669362639253274e-08, + "loss": 0.5062, + "step": 13955 + }, + { + "epoch": 0.95, + "learning_rate": 6.651437970912499e-08, + "loss": 0.8744, + "step": 13956 + }, + { + "epoch": 0.95, + "learning_rate": 6.633537260995138e-08, + "loss": 0.5941, + "step": 13957 + }, + { + "epoch": 0.95, + "learning_rate": 6.615660510370658e-08, + "loss": 0.6695, + "step": 13958 + }, + { + "epoch": 0.95, + "learning_rate": 6.597807719907034e-08, + "loss": 0.7774, + "step": 13959 + }, + { + "epoch": 0.95, + "learning_rate": 6.579978890471295e-08, + "loss": 0.8441, + "step": 13960 + }, + { + "epoch": 0.95, + "learning_rate": 6.562174022929358e-08, + "loss": 0.6644, + "step": 13961 + }, + { + "epoch": 0.95, + "learning_rate": 6.544393118145753e-08, + "loss": 0.768, + "step": 13962 + }, + { + "epoch": 0.95, + "learning_rate": 6.526636176984013e-08, + "loss": 0.7762, + "step": 13963 + }, + { + "epoch": 0.95, + "learning_rate": 6.50890320030656e-08, + "loss": 0.6402, + "step": 13964 + }, + { + "epoch": 0.95, + "learning_rate": 6.491194188974426e-08, + "loss": 0.5191, + "step": 13965 + }, + { + "epoch": 0.95, + "learning_rate": 6.473509143847645e-08, + "loss": 0.6363, + "step": 13966 + }, + { + "epoch": 0.95, + "learning_rate": 6.455848065785086e-08, + "loss": 0.7844, + "step": 13967 + }, + { + "epoch": 0.95, + "learning_rate": 6.438210955644453e-08, + "loss": 0.7072, + "step": 13968 + }, + { + "epoch": 0.95, + "learning_rate": 6.42059781428217e-08, + "loss": 0.7088, + "step": 13969 + }, + { + "epoch": 0.95, + "learning_rate": 6.40300864255361e-08, + "loss": 0.4973, + "step": 13970 + }, + { + "epoch": 0.95, + "learning_rate": 6.385443441312977e-08, + "loss": 0.734, + "step": 13971 + }, + { + "epoch": 0.95, + "learning_rate": 6.367902211413257e-08, + "loss": 0.7824, + "step": 13972 + }, + { + "epoch": 0.95, + "learning_rate": 6.350384953706379e-08, + "loss": 0.6631, + "step": 13973 + }, + { + "epoch": 0.95, + "learning_rate": 6.332891669042885e-08, + "loss": 0.9111, + "step": 13974 + }, + { + "epoch": 0.95, + "learning_rate": 6.315422358272483e-08, + "loss": 0.7505, + "step": 13975 + }, + { + "epoch": 0.95, + "learning_rate": 6.297977022243384e-08, + "loss": 0.8295, + "step": 13976 + }, + { + "epoch": 0.95, + "learning_rate": 6.280555661802857e-08, + "loss": 0.7883, + "step": 13977 + }, + { + "epoch": 0.95, + "learning_rate": 6.263158277796888e-08, + "loss": 0.6441, + "step": 13978 + }, + { + "epoch": 0.95, + "learning_rate": 6.24578487107036e-08, + "loss": 0.807, + "step": 13979 + }, + { + "epoch": 0.95, + "learning_rate": 6.228435442466985e-08, + "loss": 0.7648, + "step": 13980 + }, + { + "epoch": 0.95, + "learning_rate": 6.211109992829367e-08, + "loss": 0.6361, + "step": 13981 + }, + { + "epoch": 0.95, + "learning_rate": 6.193808522998723e-08, + "loss": 0.6528, + "step": 13982 + }, + { + "epoch": 0.95, + "learning_rate": 6.176531033815436e-08, + "loss": 0.8259, + "step": 13983 + }, + { + "epoch": 0.95, + "learning_rate": 6.159277526118445e-08, + "loss": 0.6988, + "step": 13984 + }, + { + "epoch": 0.95, + "learning_rate": 6.142048000745638e-08, + "loss": 0.5623, + "step": 13985 + }, + { + "epoch": 0.95, + "learning_rate": 6.124842458533731e-08, + "loss": 0.7428, + "step": 13986 + }, + { + "epoch": 0.95, + "learning_rate": 6.107660900318336e-08, + "loss": 0.637, + "step": 13987 + }, + { + "epoch": 0.95, + "learning_rate": 6.090503326933728e-08, + "loss": 0.8288, + "step": 13988 + }, + { + "epoch": 0.95, + "learning_rate": 6.073369739213241e-08, + "loss": 0.7489, + "step": 13989 + }, + { + "epoch": 0.95, + "learning_rate": 6.056260137988823e-08, + "loss": 0.8731, + "step": 13990 + }, + { + "epoch": 0.95, + "learning_rate": 6.039174524091473e-08, + "loss": 0.7697, + "step": 13991 + }, + { + "epoch": 0.95, + "learning_rate": 6.022112898350862e-08, + "loss": 0.6509, + "step": 13992 + }, + { + "epoch": 0.95, + "learning_rate": 6.005075261595495e-08, + "loss": 0.6546, + "step": 13993 + }, + { + "epoch": 0.95, + "learning_rate": 5.988061614652929e-08, + "loss": 0.9671, + "step": 13994 + }, + { + "epoch": 0.95, + "learning_rate": 5.971071958349229e-08, + "loss": 0.668, + "step": 13995 + }, + { + "epoch": 0.95, + "learning_rate": 5.954106293509565e-08, + "loss": 0.8263, + "step": 13996 + }, + { + "epoch": 0.95, + "learning_rate": 5.9371646209577805e-08, + "loss": 0.7935, + "step": 13997 + }, + { + "epoch": 0.95, + "learning_rate": 5.9202469415166605e-08, + "loss": 0.7657, + "step": 13998 + }, + { + "epoch": 0.95, + "learning_rate": 5.903353256007716e-08, + "loss": 0.4939, + "step": 13999 + }, + { + "epoch": 0.95, + "learning_rate": 5.8864835652513997e-08, + "loss": 0.6712, + "step": 14000 + }, + { + "epoch": 0.95, + "learning_rate": 5.869637870067002e-08, + "loss": 0.5424, + "step": 14001 + }, + { + "epoch": 0.95, + "learning_rate": 5.852816171272424e-08, + "loss": 0.754, + "step": 14002 + }, + { + "epoch": 0.95, + "learning_rate": 5.836018469684734e-08, + "loss": 0.7047, + "step": 14003 + }, + { + "epoch": 0.95, + "learning_rate": 5.8192447661196694e-08, + "loss": 0.5199, + "step": 14004 + }, + { + "epoch": 0.95, + "learning_rate": 5.802495061391688e-08, + "loss": 0.8181, + "step": 14005 + }, + { + "epoch": 0.95, + "learning_rate": 5.785769356314419e-08, + "loss": 0.892, + "step": 14006 + }, + { + "epoch": 0.95, + "learning_rate": 5.769067651699878e-08, + "loss": 0.6529, + "step": 14007 + }, + { + "epoch": 0.95, + "learning_rate": 5.7523899483592494e-08, + "loss": 0.745, + "step": 14008 + }, + { + "epoch": 0.95, + "learning_rate": 5.735736247102497e-08, + "loss": 0.6317, + "step": 14009 + }, + { + "epoch": 0.95, + "learning_rate": 5.7191065487382516e-08, + "loss": 0.6058, + "step": 14010 + }, + { + "epoch": 0.95, + "learning_rate": 5.7025008540742e-08, + "loss": 0.7198, + "step": 14011 + }, + { + "epoch": 0.95, + "learning_rate": 5.685919163916753e-08, + "loss": 0.5983, + "step": 14012 + }, + { + "epoch": 0.95, + "learning_rate": 5.669361479071156e-08, + "loss": 0.6174, + "step": 14013 + }, + { + "epoch": 0.95, + "learning_rate": 5.6528278003414315e-08, + "loss": 0.8063, + "step": 14014 + }, + { + "epoch": 0.95, + "learning_rate": 5.63631812853066e-08, + "loss": 0.6271, + "step": 14015 + }, + { + "epoch": 0.95, + "learning_rate": 5.6198324644404226e-08, + "loss": 0.8209, + "step": 14016 + }, + { + "epoch": 0.95, + "learning_rate": 5.6033708088713556e-08, + "loss": 0.7408, + "step": 14017 + }, + { + "epoch": 0.95, + "learning_rate": 5.586933162622987e-08, + "loss": 0.6801, + "step": 14018 + }, + { + "epoch": 0.95, + "learning_rate": 5.570519526493456e-08, + "loss": 0.7615, + "step": 14019 + }, + { + "epoch": 0.95, + "learning_rate": 5.554129901279903e-08, + "loss": 0.8966, + "step": 14020 + }, + { + "epoch": 0.95, + "learning_rate": 5.537764287778302e-08, + "loss": 0.4351, + "step": 14021 + }, + { + "epoch": 0.95, + "learning_rate": 5.521422686783295e-08, + "loss": 0.9809, + "step": 14022 + }, + { + "epoch": 0.95, + "learning_rate": 5.505105099088637e-08, + "loss": 0.6437, + "step": 14023 + }, + { + "epoch": 0.95, + "learning_rate": 5.4888115254865817e-08, + "loss": 0.6295, + "step": 14024 + }, + { + "epoch": 0.95, + "learning_rate": 5.472541966768552e-08, + "loss": 0.6166, + "step": 14025 + }, + { + "epoch": 0.95, + "learning_rate": 5.456296423724528e-08, + "loss": 0.6362, + "step": 14026 + }, + { + "epoch": 0.95, + "learning_rate": 5.440074897143488e-08, + "loss": 0.4533, + "step": 14027 + }, + { + "epoch": 0.95, + "learning_rate": 5.4238773878131925e-08, + "loss": 0.4678, + "step": 14028 + }, + { + "epoch": 0.95, + "learning_rate": 5.4077038965202885e-08, + "loss": 0.692, + "step": 14029 + }, + { + "epoch": 0.95, + "learning_rate": 5.391554424050094e-08, + "loss": 0.6312, + "step": 14030 + }, + { + "epoch": 0.95, + "learning_rate": 5.375428971186925e-08, + "loss": 0.8205, + "step": 14031 + }, + { + "epoch": 0.95, + "learning_rate": 5.359327538713932e-08, + "loss": 0.773, + "step": 14032 + }, + { + "epoch": 0.95, + "learning_rate": 5.3432501274129914e-08, + "loss": 0.7099, + "step": 14033 + }, + { + "epoch": 0.95, + "learning_rate": 5.3271967380649216e-08, + "loss": 0.7239, + "step": 14034 + }, + { + "epoch": 0.95, + "learning_rate": 5.3111673714492664e-08, + "loss": 0.8402, + "step": 14035 + }, + { + "epoch": 0.95, + "learning_rate": 5.2951620283444026e-08, + "loss": 0.7128, + "step": 14036 + }, + { + "epoch": 0.96, + "learning_rate": 5.279180709527765e-08, + "loss": 0.5936, + "step": 14037 + }, + { + "epoch": 0.96, + "learning_rate": 5.263223415775287e-08, + "loss": 0.3523, + "step": 14038 + }, + { + "epoch": 0.96, + "learning_rate": 5.247290147862016e-08, + "loss": 0.7135, + "step": 14039 + }, + { + "epoch": 0.96, + "learning_rate": 5.2313809065616674e-08, + "loss": 0.7914, + "step": 14040 + }, + { + "epoch": 0.96, + "learning_rate": 5.215495692646788e-08, + "loss": 0.3844, + "step": 14041 + }, + { + "epoch": 0.96, + "learning_rate": 5.199634506888929e-08, + "loss": 0.9439, + "step": 14042 + }, + { + "epoch": 0.96, + "learning_rate": 5.183797350058251e-08, + "loss": 0.5395, + "step": 14043 + }, + { + "epoch": 0.96, + "learning_rate": 5.167984222923916e-08, + "loss": 0.3743, + "step": 14044 + }, + { + "epoch": 0.96, + "learning_rate": 5.152195126253812e-08, + "loss": 0.6664, + "step": 14045 + }, + { + "epoch": 0.96, + "learning_rate": 5.136430060814712e-08, + "loss": 0.6604, + "step": 14046 + }, + { + "epoch": 0.96, + "learning_rate": 5.120689027372228e-08, + "loss": 0.5754, + "step": 14047 + }, + { + "epoch": 0.96, + "learning_rate": 5.104972026690802e-08, + "loss": 0.6267, + "step": 14048 + }, + { + "epoch": 0.96, + "learning_rate": 5.089279059533658e-08, + "loss": 0.9032, + "step": 14049 + }, + { + "epoch": 0.96, + "learning_rate": 5.073610126662909e-08, + "loss": 0.6568, + "step": 14050 + }, + { + "epoch": 0.96, + "learning_rate": 5.057965228839501e-08, + "loss": 0.9489, + "step": 14051 + }, + { + "epoch": 0.96, + "learning_rate": 5.04234436682316e-08, + "loss": 0.6187, + "step": 14052 + }, + { + "epoch": 0.96, + "learning_rate": 5.026747541372501e-08, + "loss": 0.9349, + "step": 14053 + }, + { + "epoch": 0.96, + "learning_rate": 5.011174753244974e-08, + "loss": 0.6256, + "step": 14054 + }, + { + "epoch": 0.96, + "learning_rate": 4.995626003196807e-08, + "loss": 0.8629, + "step": 14055 + }, + { + "epoch": 0.96, + "learning_rate": 4.980101291983064e-08, + "loss": 0.9492, + "step": 14056 + }, + { + "epoch": 0.96, + "learning_rate": 4.9646006203577515e-08, + "loss": 0.9005, + "step": 14057 + }, + { + "epoch": 0.96, + "learning_rate": 4.9491239890735456e-08, + "loss": 0.7003, + "step": 14058 + }, + { + "epoch": 0.96, + "learning_rate": 4.9336713988820676e-08, + "loss": 0.7771, + "step": 14059 + }, + { + "epoch": 0.96, + "learning_rate": 4.918242850533772e-08, + "loss": 0.7843, + "step": 14060 + }, + { + "epoch": 0.96, + "learning_rate": 4.902838344777894e-08, + "loss": 0.736, + "step": 14061 + }, + { + "epoch": 0.96, + "learning_rate": 4.8874578823624454e-08, + "loss": 0.7698, + "step": 14062 + }, + { + "epoch": 0.96, + "learning_rate": 4.872101464034495e-08, + "loss": 0.7124, + "step": 14063 + }, + { + "epoch": 0.96, + "learning_rate": 4.85676909053967e-08, + "loss": 0.942, + "step": 14064 + }, + { + "epoch": 0.96, + "learning_rate": 4.841460762622596e-08, + "loss": 0.7836, + "step": 14065 + }, + { + "epoch": 0.96, + "learning_rate": 4.8261764810266784e-08, + "loss": 0.858, + "step": 14066 + }, + { + "epoch": 0.96, + "learning_rate": 4.810916246494157e-08, + "loss": 0.628, + "step": 14067 + }, + { + "epoch": 0.96, + "learning_rate": 4.795680059766161e-08, + "loss": 0.663, + "step": 14068 + }, + { + "epoch": 0.96, + "learning_rate": 4.7804679215825435e-08, + "loss": 0.8918, + "step": 14069 + }, + { + "epoch": 0.96, + "learning_rate": 4.765279832682102e-08, + "loss": 0.6341, + "step": 14070 + }, + { + "epoch": 0.96, + "learning_rate": 4.750115793802412e-08, + "loss": 0.5938, + "step": 14071 + }, + { + "epoch": 0.96, + "learning_rate": 4.734975805679831e-08, + "loss": 0.5774, + "step": 14072 + }, + { + "epoch": 0.96, + "learning_rate": 4.719859869049659e-08, + "loss": 0.5745, + "step": 14073 + }, + { + "epoch": 0.96, + "learning_rate": 4.7047679846459194e-08, + "loss": 0.5927, + "step": 14074 + }, + { + "epoch": 0.96, + "learning_rate": 4.689700153201526e-08, + "loss": 0.7896, + "step": 14075 + }, + { + "epoch": 0.96, + "learning_rate": 4.6746563754482274e-08, + "loss": 0.6332, + "step": 14076 + }, + { + "epoch": 0.96, + "learning_rate": 4.6596366521166614e-08, + "loss": 0.4537, + "step": 14077 + }, + { + "epoch": 0.96, + "learning_rate": 4.6446409839360773e-08, + "loss": 0.869, + "step": 14078 + }, + { + "epoch": 0.96, + "learning_rate": 4.6296693716348375e-08, + "loss": 0.96, + "step": 14079 + }, + { + "epoch": 0.96, + "learning_rate": 4.614721815939971e-08, + "loss": 0.5673, + "step": 14080 + }, + { + "epoch": 0.96, + "learning_rate": 4.599798317577342e-08, + "loss": 0.5881, + "step": 14081 + }, + { + "epoch": 0.96, + "learning_rate": 4.58489887727176e-08, + "loss": 0.5213, + "step": 14082 + }, + { + "epoch": 0.96, + "learning_rate": 4.570023495746645e-08, + "loss": 1.0172, + "step": 14083 + }, + { + "epoch": 0.96, + "learning_rate": 4.5551721737244756e-08, + "loss": 0.518, + "step": 14084 + }, + { + "epoch": 0.96, + "learning_rate": 4.5403449119265085e-08, + "loss": 0.7544, + "step": 14085 + }, + { + "epoch": 0.96, + "learning_rate": 4.525541711072723e-08, + "loss": 0.7946, + "step": 14086 + }, + { + "epoch": 0.96, + "learning_rate": 4.5107625718820434e-08, + "loss": 0.8411, + "step": 14087 + }, + { + "epoch": 0.96, + "learning_rate": 4.49600749507223e-08, + "loss": 0.8849, + "step": 14088 + }, + { + "epoch": 0.96, + "learning_rate": 4.481276481359764e-08, + "loss": 0.5725, + "step": 14089 + }, + { + "epoch": 0.96, + "learning_rate": 4.466569531460019e-08, + "loss": 0.9763, + "step": 14090 + }, + { + "epoch": 0.96, + "learning_rate": 4.451886646087256e-08, + "loss": 0.9392, + "step": 14091 + }, + { + "epoch": 0.96, + "learning_rate": 4.4372278259545153e-08, + "loss": 0.5621, + "step": 14092 + }, + { + "epoch": 0.96, + "learning_rate": 4.422593071773618e-08, + "loss": 0.6823, + "step": 14093 + }, + { + "epoch": 0.96, + "learning_rate": 4.407982384255327e-08, + "loss": 0.6413, + "step": 14094 + }, + { + "epoch": 0.96, + "learning_rate": 4.3933957641091317e-08, + "loss": 0.9293, + "step": 14095 + }, + { + "epoch": 0.96, + "learning_rate": 4.378833212043465e-08, + "loss": 0.9405, + "step": 14096 + }, + { + "epoch": 0.96, + "learning_rate": 4.3642947287654284e-08, + "loss": 0.8203, + "step": 14097 + }, + { + "epoch": 0.96, + "learning_rate": 4.3497803149811776e-08, + "loss": 0.673, + "step": 14098 + }, + { + "epoch": 0.96, + "learning_rate": 4.335289971395484e-08, + "loss": 0.666, + "step": 14099 + }, + { + "epoch": 0.96, + "learning_rate": 4.3208236987120624e-08, + "loss": 0.6744, + "step": 14100 + }, + { + "epoch": 0.96, + "learning_rate": 4.306381497633405e-08, + "loss": 0.8635, + "step": 14101 + }, + { + "epoch": 0.96, + "learning_rate": 4.291963368860952e-08, + "loss": 0.4964, + "step": 14102 + }, + { + "epoch": 0.96, + "learning_rate": 4.2775693130948094e-08, + "loss": 0.7188, + "step": 14103 + }, + { + "epoch": 0.96, + "learning_rate": 4.2631993310340294e-08, + "loss": 0.7516, + "step": 14104 + }, + { + "epoch": 0.96, + "learning_rate": 4.2488534233764425e-08, + "loss": 0.802, + "step": 14105 + }, + { + "epoch": 0.96, + "learning_rate": 4.2345315908187135e-08, + "loss": 0.6799, + "step": 14106 + }, + { + "epoch": 0.96, + "learning_rate": 4.2202338340563974e-08, + "loss": 0.8839, + "step": 14107 + }, + { + "epoch": 0.96, + "learning_rate": 4.2059601537838276e-08, + "loss": 0.8627, + "step": 14108 + }, + { + "epoch": 0.96, + "learning_rate": 4.191710550694172e-08, + "loss": 0.6899, + "step": 14109 + }, + { + "epoch": 0.96, + "learning_rate": 4.177485025479378e-08, + "loss": 0.7026, + "step": 14110 + }, + { + "epoch": 0.96, + "learning_rate": 4.163283578830335e-08, + "loss": 0.6678, + "step": 14111 + }, + { + "epoch": 0.96, + "learning_rate": 4.14910621143666e-08, + "loss": 0.7745, + "step": 14112 + }, + { + "epoch": 0.96, + "learning_rate": 4.134952923986968e-08, + "loss": 0.7522, + "step": 14113 + }, + { + "epoch": 0.96, + "learning_rate": 4.120823717168432e-08, + "loss": 0.5978, + "step": 14114 + }, + { + "epoch": 0.96, + "learning_rate": 4.1067185916672247e-08, + "loss": 0.6873, + "step": 14115 + }, + { + "epoch": 0.96, + "learning_rate": 4.092637548168466e-08, + "loss": 0.8287, + "step": 14116 + }, + { + "epoch": 0.96, + "learning_rate": 4.078580587355774e-08, + "loss": 0.9213, + "step": 14117 + }, + { + "epoch": 0.96, + "learning_rate": 4.064547709911992e-08, + "loss": 0.6877, + "step": 14118 + }, + { + "epoch": 0.96, + "learning_rate": 4.050538916518465e-08, + "loss": 0.836, + "step": 14119 + }, + { + "epoch": 0.96, + "learning_rate": 4.036554207855536e-08, + "loss": 0.8059, + "step": 14120 + }, + { + "epoch": 0.96, + "learning_rate": 4.02259358460233e-08, + "loss": 0.8034, + "step": 14121 + }, + { + "epoch": 0.96, + "learning_rate": 4.008657047436859e-08, + "loss": 0.7754, + "step": 14122 + }, + { + "epoch": 0.96, + "learning_rate": 3.994744597035916e-08, + "loss": 0.5734, + "step": 14123 + }, + { + "epoch": 0.96, + "learning_rate": 3.98085623407507e-08, + "loss": 0.7151, + "step": 14124 + }, + { + "epoch": 0.96, + "learning_rate": 3.9669919592288385e-08, + "loss": 0.8039, + "step": 14125 + }, + { + "epoch": 0.96, + "learning_rate": 3.953151773170516e-08, + "loss": 0.9909, + "step": 14126 + }, + { + "epoch": 0.96, + "learning_rate": 3.9393356765721757e-08, + "loss": 0.6558, + "step": 14127 + }, + { + "epoch": 0.96, + "learning_rate": 3.925543670104726e-08, + "loss": 0.8334, + "step": 14128 + }, + { + "epoch": 0.96, + "learning_rate": 3.911775754438074e-08, + "loss": 0.6209, + "step": 14129 + }, + { + "epoch": 0.96, + "learning_rate": 3.8980319302407976e-08, + "loss": 1.0013, + "step": 14130 + }, + { + "epoch": 0.96, + "learning_rate": 3.8843121981802515e-08, + "loss": 0.4424, + "step": 14131 + }, + { + "epoch": 0.96, + "learning_rate": 3.870616558922735e-08, + "loss": 0.5274, + "step": 14132 + }, + { + "epoch": 0.96, + "learning_rate": 3.856945013133384e-08, + "loss": 0.9496, + "step": 14133 + }, + { + "epoch": 0.96, + "learning_rate": 3.8432975614761114e-08, + "loss": 0.9411, + "step": 14134 + }, + { + "epoch": 0.96, + "learning_rate": 3.8296742046136646e-08, + "loss": 0.8024, + "step": 14135 + }, + { + "epoch": 0.96, + "learning_rate": 3.8160749432076816e-08, + "loss": 0.713, + "step": 14136 + }, + { + "epoch": 0.96, + "learning_rate": 3.8024997779185225e-08, + "loss": 0.5927, + "step": 14137 + }, + { + "epoch": 0.96, + "learning_rate": 3.7889487094054375e-08, + "loss": 0.6997, + "step": 14138 + }, + { + "epoch": 0.96, + "learning_rate": 3.775421738326568e-08, + "loss": 0.7992, + "step": 14139 + }, + { + "epoch": 0.96, + "learning_rate": 3.7619188653387764e-08, + "loss": 0.6021, + "step": 14140 + }, + { + "epoch": 0.96, + "learning_rate": 3.748440091097816e-08, + "loss": 0.8866, + "step": 14141 + }, + { + "epoch": 0.96, + "learning_rate": 3.734985416258219e-08, + "loss": 0.724, + "step": 14142 + }, + { + "epoch": 0.96, + "learning_rate": 3.721554841473407e-08, + "loss": 0.7198, + "step": 14143 + }, + { + "epoch": 0.96, + "learning_rate": 3.708148367395637e-08, + "loss": 0.466, + "step": 14144 + }, + { + "epoch": 0.96, + "learning_rate": 3.694765994675886e-08, + "loss": 0.8381, + "step": 14145 + }, + { + "epoch": 0.96, + "learning_rate": 3.6814077239641366e-08, + "loss": 0.9497, + "step": 14146 + }, + { + "epoch": 0.96, + "learning_rate": 3.668073555909091e-08, + "loss": 0.6313, + "step": 14147 + }, + { + "epoch": 0.96, + "learning_rate": 3.6547634911581755e-08, + "loss": 0.939, + "step": 14148 + }, + { + "epoch": 0.96, + "learning_rate": 3.6414775303579285e-08, + "loss": 0.4491, + "step": 14149 + }, + { + "epoch": 0.96, + "learning_rate": 3.628215674153501e-08, + "loss": 0.6703, + "step": 14150 + }, + { + "epoch": 0.96, + "learning_rate": 3.614977923188823e-08, + "loss": 0.6272, + "step": 14151 + }, + { + "epoch": 0.96, + "learning_rate": 3.6017642781068784e-08, + "loss": 0.6656, + "step": 14152 + }, + { + "epoch": 0.96, + "learning_rate": 3.588574739549322e-08, + "loss": 0.6954, + "step": 14153 + }, + { + "epoch": 0.96, + "learning_rate": 3.575409308156697e-08, + "loss": 1.0197, + "step": 14154 + }, + { + "epoch": 0.96, + "learning_rate": 3.5622679845682685e-08, + "loss": 0.8976, + "step": 14155 + }, + { + "epoch": 0.96, + "learning_rate": 3.54915076942236e-08, + "loss": 0.8593, + "step": 14156 + }, + { + "epoch": 0.96, + "learning_rate": 3.536057663355852e-08, + "loss": 0.8142, + "step": 14157 + }, + { + "epoch": 0.96, + "learning_rate": 3.5229886670046785e-08, + "loss": 0.5735, + "step": 14158 + }, + { + "epoch": 0.96, + "learning_rate": 3.509943781003444e-08, + "loss": 0.7883, + "step": 14159 + }, + { + "epoch": 0.96, + "learning_rate": 3.496923005985642e-08, + "loss": 1.0803, + "step": 14160 + }, + { + "epoch": 0.96, + "learning_rate": 3.483926342583654e-08, + "loss": 0.6718, + "step": 14161 + }, + { + "epoch": 0.96, + "learning_rate": 3.4709537914285887e-08, + "loss": 0.5981, + "step": 14162 + }, + { + "epoch": 0.96, + "learning_rate": 3.4580053531504396e-08, + "loss": 0.6081, + "step": 14163 + }, + { + "epoch": 0.96, + "learning_rate": 3.445081028378039e-08, + "loss": 0.7498, + "step": 14164 + }, + { + "epoch": 0.96, + "learning_rate": 3.432180817738995e-08, + "loss": 0.6757, + "step": 14165 + }, + { + "epoch": 0.96, + "learning_rate": 3.4193047218598067e-08, + "loss": 0.7206, + "step": 14166 + }, + { + "epoch": 0.96, + "learning_rate": 3.406452741365807e-08, + "loss": 0.6595, + "step": 14167 + }, + { + "epoch": 0.96, + "learning_rate": 3.393624876881052e-08, + "loss": 0.6241, + "step": 14168 + }, + { + "epoch": 0.96, + "learning_rate": 3.3808211290284886e-08, + "loss": 0.6406, + "step": 14169 + }, + { + "epoch": 0.96, + "learning_rate": 3.368041498430008e-08, + "loss": 0.5296, + "step": 14170 + }, + { + "epoch": 0.96, + "learning_rate": 3.355285985706169e-08, + "loss": 0.4521, + "step": 14171 + }, + { + "epoch": 0.96, + "learning_rate": 3.3425545914763655e-08, + "loss": 0.4268, + "step": 14172 + }, + { + "epoch": 0.96, + "learning_rate": 3.329847316358936e-08, + "loss": 0.7563, + "step": 14173 + }, + { + "epoch": 0.96, + "learning_rate": 3.317164160970998e-08, + "loss": 0.7043, + "step": 14174 + }, + { + "epoch": 0.96, + "learning_rate": 3.304505125928392e-08, + "loss": 0.6291, + "step": 14175 + }, + { + "epoch": 0.96, + "learning_rate": 3.29187021184596e-08, + "loss": 0.8567, + "step": 14176 + }, + { + "epoch": 0.96, + "learning_rate": 3.279259419337266e-08, + "loss": 0.6802, + "step": 14177 + }, + { + "epoch": 0.96, + "learning_rate": 3.266672749014765e-08, + "loss": 0.7134, + "step": 14178 + }, + { + "epoch": 0.96, + "learning_rate": 3.2541102014895795e-08, + "loss": 0.9088, + "step": 14179 + }, + { + "epoch": 0.96, + "learning_rate": 3.241571777371888e-08, + "loss": 0.8599, + "step": 14180 + }, + { + "epoch": 0.96, + "learning_rate": 3.229057477270647e-08, + "loss": 0.5064, + "step": 14181 + }, + { + "epoch": 0.96, + "learning_rate": 3.2165673017933716e-08, + "loss": 0.5185, + "step": 14182 + }, + { + "epoch": 0.96, + "learning_rate": 3.204101251546854e-08, + "loss": 0.8587, + "step": 14183 + }, + { + "epoch": 0.97, + "learning_rate": 3.191659327136387e-08, + "loss": 0.646, + "step": 14184 + }, + { + "epoch": 0.97, + "learning_rate": 3.179241529166099e-08, + "loss": 0.8197, + "step": 14185 + }, + { + "epoch": 0.97, + "learning_rate": 3.16684785823923e-08, + "loss": 0.6432, + "step": 14186 + }, + { + "epoch": 0.97, + "learning_rate": 3.154478314957465e-08, + "loss": 0.779, + "step": 14187 + }, + { + "epoch": 0.97, + "learning_rate": 3.1421328999216014e-08, + "loss": 0.9133, + "step": 14188 + }, + { + "epoch": 0.97, + "learning_rate": 3.129811613731104e-08, + "loss": 0.8244, + "step": 14189 + }, + { + "epoch": 0.97, + "learning_rate": 3.1175144569844386e-08, + "loss": 0.6088, + "step": 14190 + }, + { + "epoch": 0.97, + "learning_rate": 3.105241430278683e-08, + "loss": 0.4145, + "step": 14191 + }, + { + "epoch": 0.97, + "learning_rate": 3.0929925342099156e-08, + "loss": 0.9647, + "step": 14192 + }, + { + "epoch": 0.97, + "learning_rate": 3.080767769372939e-08, + "loss": 0.553, + "step": 14193 + }, + { + "epoch": 0.97, + "learning_rate": 3.068567136361444e-08, + "loss": 0.9355, + "step": 14194 + }, + { + "epoch": 0.97, + "learning_rate": 3.056390635767903e-08, + "loss": 0.8152, + "step": 14195 + }, + { + "epoch": 0.97, + "learning_rate": 3.0442382681836745e-08, + "loss": 0.7604, + "step": 14196 + }, + { + "epoch": 0.97, + "learning_rate": 3.0321100341988986e-08, + "loss": 0.7288, + "step": 14197 + }, + { + "epoch": 0.97, + "learning_rate": 3.020005934402603e-08, + "loss": 0.8122, + "step": 14198 + }, + { + "epoch": 0.97, + "learning_rate": 3.007925969382486e-08, + "loss": 0.5917, + "step": 14199 + }, + { + "epoch": 0.97, + "learning_rate": 2.9958701397252984e-08, + "loss": 0.4877, + "step": 14200 + }, + { + "epoch": 0.97, + "learning_rate": 2.983838446016407e-08, + "loss": 0.7101, + "step": 14201 + }, + { + "epoch": 0.97, + "learning_rate": 2.971830888840177e-08, + "loss": 1.0157, + "step": 14202 + }, + { + "epoch": 0.97, + "learning_rate": 2.959847468779753e-08, + "loss": 0.8985, + "step": 14203 + }, + { + "epoch": 0.97, + "learning_rate": 2.947888186417003e-08, + "loss": 0.9956, + "step": 14204 + }, + { + "epoch": 0.97, + "learning_rate": 2.93595304233274e-08, + "loss": 0.5733, + "step": 14205 + }, + { + "epoch": 0.97, + "learning_rate": 2.9240420371066113e-08, + "loss": 0.9196, + "step": 14206 + }, + { + "epoch": 0.97, + "learning_rate": 2.9121551713169882e-08, + "loss": 0.6173, + "step": 14207 + }, + { + "epoch": 0.97, + "learning_rate": 2.9002924455411308e-08, + "loss": 0.7819, + "step": 14208 + }, + { + "epoch": 0.97, + "learning_rate": 2.8884538603551892e-08, + "loss": 0.9022, + "step": 14209 + }, + { + "epoch": 0.97, + "learning_rate": 2.8766394163339816e-08, + "loss": 0.9455, + "step": 14210 + }, + { + "epoch": 0.97, + "learning_rate": 2.8648491140513267e-08, + "loss": 0.6933, + "step": 14211 + }, + { + "epoch": 0.97, + "learning_rate": 2.853082954079822e-08, + "loss": 0.7334, + "step": 14212 + }, + { + "epoch": 0.97, + "learning_rate": 2.8413409369907887e-08, + "loss": 0.8067, + "step": 14213 + }, + { + "epoch": 0.97, + "learning_rate": 2.8296230633544918e-08, + "loss": 0.5442, + "step": 14214 + }, + { + "epoch": 0.97, + "learning_rate": 2.817929333739977e-08, + "loss": 0.8936, + "step": 14215 + }, + { + "epoch": 0.97, + "learning_rate": 2.8062597487151232e-08, + "loss": 0.7335, + "step": 14216 + }, + { + "epoch": 0.97, + "learning_rate": 2.7946143088466437e-08, + "loss": 0.7617, + "step": 14217 + }, + { + "epoch": 0.97, + "learning_rate": 2.782993014700086e-08, + "loss": 0.6597, + "step": 14218 + }, + { + "epoch": 0.97, + "learning_rate": 2.7713958668397767e-08, + "loss": 0.662, + "step": 14219 + }, + { + "epoch": 0.97, + "learning_rate": 2.7598228658289873e-08, + "loss": 0.6027, + "step": 14220 + }, + { + "epoch": 0.97, + "learning_rate": 2.7482740122296015e-08, + "loss": 0.5131, + "step": 14221 + }, + { + "epoch": 0.97, + "learning_rate": 2.7367493066026153e-08, + "loss": 0.5422, + "step": 14222 + }, + { + "epoch": 0.97, + "learning_rate": 2.7252487495075807e-08, + "loss": 0.7341, + "step": 14223 + }, + { + "epoch": 0.97, + "learning_rate": 2.7137723415030516e-08, + "loss": 0.7533, + "step": 14224 + }, + { + "epoch": 0.97, + "learning_rate": 2.7023200831463592e-08, + "loss": 0.6867, + "step": 14225 + }, + { + "epoch": 0.97, + "learning_rate": 2.69089197499367e-08, + "loss": 0.7221, + "step": 14226 + }, + { + "epoch": 0.97, + "learning_rate": 2.6794880175999293e-08, + "loss": 0.7761, + "step": 14227 + }, + { + "epoch": 0.97, + "learning_rate": 2.6681082115189717e-08, + "loss": 0.6237, + "step": 14228 + }, + { + "epoch": 0.97, + "learning_rate": 2.6567525573034102e-08, + "loss": 0.7139, + "step": 14229 + }, + { + "epoch": 0.97, + "learning_rate": 2.6454210555046933e-08, + "loss": 0.8652, + "step": 14230 + }, + { + "epoch": 0.97, + "learning_rate": 2.634113706673158e-08, + "loss": 0.7133, + "step": 14231 + }, + { + "epoch": 0.97, + "learning_rate": 2.6228305113579766e-08, + "loss": 0.6899, + "step": 14232 + }, + { + "epoch": 0.97, + "learning_rate": 2.6115714701069327e-08, + "loss": 0.588, + "step": 14233 + }, + { + "epoch": 0.97, + "learning_rate": 2.6003365834669226e-08, + "loss": 0.7004, + "step": 14234 + }, + { + "epoch": 0.97, + "learning_rate": 2.5891258519835094e-08, + "loss": 0.5573, + "step": 14235 + }, + { + "epoch": 0.97, + "learning_rate": 2.577939276201036e-08, + "loss": 0.6146, + "step": 14236 + }, + { + "epoch": 0.97, + "learning_rate": 2.566776856662956e-08, + "loss": 0.5891, + "step": 14237 + }, + { + "epoch": 0.97, + "learning_rate": 2.5556385939111693e-08, + "loss": 0.8628, + "step": 14238 + }, + { + "epoch": 0.97, + "learning_rate": 2.5445244884865772e-08, + "loss": 0.6557, + "step": 14239 + }, + { + "epoch": 0.97, + "learning_rate": 2.5334345409290805e-08, + "loss": 0.6488, + "step": 14240 + }, + { + "epoch": 0.97, + "learning_rate": 2.5223687517770823e-08, + "loss": 0.7051, + "step": 14241 + }, + { + "epoch": 0.97, + "learning_rate": 2.511327121567986e-08, + "loss": 0.5119, + "step": 14242 + }, + { + "epoch": 0.97, + "learning_rate": 2.5003096508381396e-08, + "loss": 0.7443, + "step": 14243 + }, + { + "epoch": 0.97, + "learning_rate": 2.4893163401223942e-08, + "loss": 0.8501, + "step": 14244 + }, + { + "epoch": 0.97, + "learning_rate": 2.4783471899547662e-08, + "loss": 0.6719, + "step": 14245 + }, + { + "epoch": 0.97, + "learning_rate": 2.46740220086783e-08, + "loss": 0.5095, + "step": 14246 + }, + { + "epoch": 0.97, + "learning_rate": 2.4564813733932157e-08, + "loss": 0.7422, + "step": 14247 + }, + { + "epoch": 0.97, + "learning_rate": 2.445584708061166e-08, + "loss": 0.3945, + "step": 14248 + }, + { + "epoch": 0.97, + "learning_rate": 2.434712205400924e-08, + "loss": 0.5422, + "step": 14249 + }, + { + "epoch": 0.97, + "learning_rate": 2.4238638659405124e-08, + "loss": 0.817, + "step": 14250 + }, + { + "epoch": 0.97, + "learning_rate": 2.4130396902066755e-08, + "loss": 0.6629, + "step": 14251 + }, + { + "epoch": 0.97, + "learning_rate": 2.4022396787251045e-08, + "loss": 0.7174, + "step": 14252 + }, + { + "epoch": 0.97, + "learning_rate": 2.3914638320203243e-08, + "loss": 0.3924, + "step": 14253 + }, + { + "epoch": 0.97, + "learning_rate": 2.380712150615583e-08, + "loss": 0.6949, + "step": 14254 + }, + { + "epoch": 0.97, + "learning_rate": 2.369984635033018e-08, + "loss": 0.7885, + "step": 14255 + }, + { + "epoch": 0.97, + "learning_rate": 2.3592812857935467e-08, + "loss": 0.6666, + "step": 14256 + }, + { + "epoch": 0.97, + "learning_rate": 2.3486021034170857e-08, + "loss": 0.7815, + "step": 14257 + }, + { + "epoch": 0.97, + "learning_rate": 2.3379470884221656e-08, + "loss": 0.5518, + "step": 14258 + }, + { + "epoch": 0.97, + "learning_rate": 2.3273162413262053e-08, + "loss": 0.779, + "step": 14259 + }, + { + "epoch": 0.97, + "learning_rate": 2.3167095626455137e-08, + "loss": 0.6454, + "step": 14260 + }, + { + "epoch": 0.97, + "learning_rate": 2.306127052895124e-08, + "loss": 0.6948, + "step": 14261 + }, + { + "epoch": 0.97, + "learning_rate": 2.2955687125890136e-08, + "loss": 0.5884, + "step": 14262 + }, + { + "epoch": 0.97, + "learning_rate": 2.2850345422398834e-08, + "loss": 0.57, + "step": 14263 + }, + { + "epoch": 0.97, + "learning_rate": 2.2745245423593244e-08, + "loss": 0.8166, + "step": 14264 + }, + { + "epoch": 0.97, + "learning_rate": 2.264038713457706e-08, + "loss": 0.7132, + "step": 14265 + }, + { + "epoch": 0.97, + "learning_rate": 2.253577056044287e-08, + "loss": 0.6162, + "step": 14266 + }, + { + "epoch": 0.97, + "learning_rate": 2.2431395706271064e-08, + "loss": 0.6769, + "step": 14267 + }, + { + "epoch": 0.97, + "learning_rate": 2.2327262577130358e-08, + "loss": 0.7931, + "step": 14268 + }, + { + "epoch": 0.97, + "learning_rate": 2.2223371178077824e-08, + "loss": 0.6481, + "step": 14269 + }, + { + "epoch": 0.97, + "learning_rate": 2.2119721514158865e-08, + "loss": 0.7644, + "step": 14270 + }, + { + "epoch": 0.97, + "learning_rate": 2.2016313590406125e-08, + "loss": 0.7126, + "step": 14271 + }, + { + "epoch": 0.97, + "learning_rate": 2.191314741184225e-08, + "loss": 0.752, + "step": 14272 + }, + { + "epoch": 0.97, + "learning_rate": 2.1810222983477127e-08, + "loss": 0.621, + "step": 14273 + }, + { + "epoch": 0.97, + "learning_rate": 2.1707540310309528e-08, + "loss": 0.4263, + "step": 14274 + }, + { + "epoch": 0.97, + "learning_rate": 2.1605099397324914e-08, + "loss": 0.6977, + "step": 14275 + }, + { + "epoch": 0.97, + "learning_rate": 2.1502900249498748e-08, + "loss": 1.0601, + "step": 14276 + }, + { + "epoch": 0.97, + "learning_rate": 2.1400942871794283e-08, + "loss": 0.6642, + "step": 14277 + }, + { + "epoch": 0.97, + "learning_rate": 2.129922726916256e-08, + "loss": 0.7857, + "step": 14278 + }, + { + "epoch": 0.97, + "learning_rate": 2.1197753446542958e-08, + "loss": 0.8715, + "step": 14279 + }, + { + "epoch": 0.97, + "learning_rate": 2.1096521408864312e-08, + "loss": 0.9045, + "step": 14280 + }, + { + "epoch": 0.97, + "learning_rate": 2.0995531161041028e-08, + "loss": 0.4933, + "step": 14281 + }, + { + "epoch": 0.97, + "learning_rate": 2.0894782707979733e-08, + "loss": 0.5962, + "step": 14282 + }, + { + "epoch": 0.97, + "learning_rate": 2.079427605457096e-08, + "loss": 0.6957, + "step": 14283 + }, + { + "epoch": 0.97, + "learning_rate": 2.069401120569692e-08, + "loss": 0.6929, + "step": 14284 + }, + { + "epoch": 0.97, + "learning_rate": 2.0593988166226485e-08, + "loss": 0.8069, + "step": 14285 + }, + { + "epoch": 0.97, + "learning_rate": 2.0494206941016336e-08, + "loss": 0.6451, + "step": 14286 + }, + { + "epoch": 0.97, + "learning_rate": 2.039466753491315e-08, + "loss": 0.4114, + "step": 14287 + }, + { + "epoch": 0.97, + "learning_rate": 2.0295369952750278e-08, + "loss": 0.6561, + "step": 14288 + }, + { + "epoch": 0.97, + "learning_rate": 2.0196314199349977e-08, + "loss": 0.4738, + "step": 14289 + }, + { + "epoch": 0.97, + "learning_rate": 2.009750027952284e-08, + "loss": 0.9821, + "step": 14290 + }, + { + "epoch": 0.97, + "learning_rate": 1.999892819806726e-08, + "loss": 0.7617, + "step": 14291 + }, + { + "epoch": 0.97, + "learning_rate": 1.9900597959770506e-08, + "loss": 0.3614, + "step": 14292 + }, + { + "epoch": 0.97, + "learning_rate": 1.9802509569407656e-08, + "loss": 0.5467, + "step": 14293 + }, + { + "epoch": 0.97, + "learning_rate": 1.970466303174212e-08, + "loss": 0.7262, + "step": 14294 + }, + { + "epoch": 0.97, + "learning_rate": 1.9607058351525655e-08, + "loss": 0.6355, + "step": 14295 + }, + { + "epoch": 0.97, + "learning_rate": 1.950969553349835e-08, + "loss": 0.5876, + "step": 14296 + }, + { + "epoch": 0.97, + "learning_rate": 1.94125745823881e-08, + "loss": 0.7398, + "step": 14297 + }, + { + "epoch": 0.97, + "learning_rate": 1.9315695502911126e-08, + "loss": 0.699, + "step": 14298 + }, + { + "epoch": 0.97, + "learning_rate": 1.9219058299773106e-08, + "loss": 0.8595, + "step": 14299 + }, + { + "epoch": 0.97, + "learning_rate": 1.9122662977666405e-08, + "loss": 0.422, + "step": 14300 + }, + { + "epoch": 0.97, + "learning_rate": 1.9026509541272276e-08, + "loss": 1.0233, + "step": 14301 + }, + { + "epoch": 0.97, + "learning_rate": 1.8930597995260315e-08, + "loss": 0.5215, + "step": 14302 + }, + { + "epoch": 0.97, + "learning_rate": 1.8834928344288463e-08, + "loss": 0.7916, + "step": 14303 + }, + { + "epoch": 0.97, + "learning_rate": 1.873950059300189e-08, + "loss": 0.4856, + "step": 14304 + }, + { + "epoch": 0.97, + "learning_rate": 1.864431474603634e-08, + "loss": 0.721, + "step": 14305 + }, + { + "epoch": 0.97, + "learning_rate": 1.8549370808012556e-08, + "loss": 0.4665, + "step": 14306 + }, + { + "epoch": 0.97, + "learning_rate": 1.8454668783542407e-08, + "loss": 0.7414, + "step": 14307 + }, + { + "epoch": 0.97, + "learning_rate": 1.8360208677224434e-08, + "loss": 0.6237, + "step": 14308 + }, + { + "epoch": 0.97, + "learning_rate": 1.826599049364608e-08, + "loss": 0.8735, + "step": 14309 + }, + { + "epoch": 0.97, + "learning_rate": 1.8172014237383128e-08, + "loss": 0.7463, + "step": 14310 + }, + { + "epoch": 0.97, + "learning_rate": 1.8078279912999153e-08, + "loss": 0.8956, + "step": 14311 + }, + { + "epoch": 0.97, + "learning_rate": 1.7984787525045512e-08, + "loss": 0.668, + "step": 14312 + }, + { + "epoch": 0.97, + "learning_rate": 1.789153707806357e-08, + "loss": 0.6068, + "step": 14313 + }, + { + "epoch": 0.97, + "learning_rate": 1.779852857658082e-08, + "loss": 0.5807, + "step": 14314 + }, + { + "epoch": 0.97, + "learning_rate": 1.770576202511476e-08, + "loss": 0.7749, + "step": 14315 + }, + { + "epoch": 0.97, + "learning_rate": 1.7613237428170115e-08, + "loss": 0.8807, + "step": 14316 + }, + { + "epoch": 0.97, + "learning_rate": 1.7520954790239964e-08, + "loss": 0.6187, + "step": 14317 + }, + { + "epoch": 0.97, + "learning_rate": 1.742891411580627e-08, + "loss": 0.8942, + "step": 14318 + }, + { + "epoch": 0.97, + "learning_rate": 1.7337115409338246e-08, + "loss": 0.9076, + "step": 14319 + }, + { + "epoch": 0.97, + "learning_rate": 1.7245558675294538e-08, + "loss": 0.9472, + "step": 14320 + }, + { + "epoch": 0.97, + "learning_rate": 1.7154243918121038e-08, + "loss": 0.8437, + "step": 14321 + }, + { + "epoch": 0.97, + "learning_rate": 1.7063171142251977e-08, + "loss": 1.0103, + "step": 14322 + }, + { + "epoch": 0.97, + "learning_rate": 1.6972340352110485e-08, + "loss": 0.9569, + "step": 14323 + }, + { + "epoch": 0.97, + "learning_rate": 1.6881751552107472e-08, + "loss": 0.8856, + "step": 14324 + }, + { + "epoch": 0.97, + "learning_rate": 1.6791404746642203e-08, + "loss": 0.9695, + "step": 14325 + }, + { + "epoch": 0.97, + "learning_rate": 1.670129994010228e-08, + "loss": 1.0107, + "step": 14326 + }, + { + "epoch": 0.97, + "learning_rate": 1.6611437136863083e-08, + "loss": 0.8833, + "step": 14327 + }, + { + "epoch": 0.97, + "learning_rate": 1.652181634128891e-08, + "loss": 0.6776, + "step": 14328 + }, + { + "epoch": 0.97, + "learning_rate": 1.6432437557732383e-08, + "loss": 0.7297, + "step": 14329 + }, + { + "epoch": 0.97, + "learning_rate": 1.6343300790533367e-08, + "loss": 0.9385, + "step": 14330 + }, + { + "epoch": 0.98, + "learning_rate": 1.625440604402062e-08, + "loss": 0.672, + "step": 14331 + }, + { + "epoch": 0.98, + "learning_rate": 1.6165753322511247e-08, + "loss": 0.6926, + "step": 14332 + }, + { + "epoch": 0.98, + "learning_rate": 1.607734263031069e-08, + "loss": 0.7666, + "step": 14333 + }, + { + "epoch": 0.98, + "learning_rate": 1.598917397171218e-08, + "loss": 0.7984, + "step": 14334 + }, + { + "epoch": 0.98, + "learning_rate": 1.590124735099785e-08, + "loss": 0.9359, + "step": 14335 + }, + { + "epoch": 0.98, + "learning_rate": 1.5813562772437063e-08, + "loss": 0.6322, + "step": 14336 + }, + { + "epoch": 0.98, + "learning_rate": 1.5726120240288632e-08, + "loss": 0.6132, + "step": 14337 + }, + { + "epoch": 0.98, + "learning_rate": 1.5638919758798054e-08, + "loss": 0.8749, + "step": 14338 + }, + { + "epoch": 0.98, + "learning_rate": 1.5551961332201382e-08, + "loss": 0.7329, + "step": 14339 + }, + { + "epoch": 0.98, + "learning_rate": 1.5465244964720795e-08, + "loss": 0.5182, + "step": 14340 + }, + { + "epoch": 0.98, + "learning_rate": 1.5378770660567367e-08, + "loss": 0.9295, + "step": 14341 + }, + { + "epoch": 0.98, + "learning_rate": 1.5292538423940518e-08, + "loss": 0.5337, + "step": 14342 + }, + { + "epoch": 0.98, + "learning_rate": 1.5206548259028565e-08, + "loss": 0.5816, + "step": 14343 + }, + { + "epoch": 0.98, + "learning_rate": 1.5120800170007056e-08, + "loss": 0.5996, + "step": 14344 + }, + { + "epoch": 0.98, + "learning_rate": 1.5035294161039882e-08, + "loss": 0.7439, + "step": 14345 + }, + { + "epoch": 0.98, + "learning_rate": 1.4950030236279832e-08, + "loss": 0.7247, + "step": 14346 + }, + { + "epoch": 0.98, + "learning_rate": 1.4865008399867486e-08, + "loss": 0.7635, + "step": 14347 + }, + { + "epoch": 0.98, + "learning_rate": 1.4780228655931206e-08, + "loss": 0.5874, + "step": 14348 + }, + { + "epoch": 0.98, + "learning_rate": 1.4695691008589363e-08, + "loss": 0.4307, + "step": 14349 + }, + { + "epoch": 0.98, + "learning_rate": 1.4611395461946454e-08, + "loss": 0.7517, + "step": 14350 + }, + { + "epoch": 0.98, + "learning_rate": 1.4527342020096424e-08, + "loss": 0.8731, + "step": 14351 + }, + { + "epoch": 0.98, + "learning_rate": 1.4443530687120455e-08, + "loss": 0.7837, + "step": 14352 + }, + { + "epoch": 0.98, + "learning_rate": 1.4359961467089734e-08, + "loss": 0.9425, + "step": 14353 + }, + { + "epoch": 0.98, + "learning_rate": 1.4276634364062124e-08, + "loss": 0.7313, + "step": 14354 + }, + { + "epoch": 0.98, + "learning_rate": 1.4193549382083837e-08, + "loss": 0.3781, + "step": 14355 + }, + { + "epoch": 0.98, + "learning_rate": 1.4110706525190532e-08, + "loss": 0.8229, + "step": 14356 + }, + { + "epoch": 0.98, + "learning_rate": 1.4028105797404546e-08, + "loss": 0.7631, + "step": 14357 + }, + { + "epoch": 0.98, + "learning_rate": 1.3945747202738224e-08, + "loss": 0.7449, + "step": 14358 + }, + { + "epoch": 0.98, + "learning_rate": 1.3863630745189483e-08, + "loss": 0.817, + "step": 14359 + }, + { + "epoch": 0.98, + "learning_rate": 1.3781756428747351e-08, + "loss": 0.7089, + "step": 14360 + }, + { + "epoch": 0.98, + "learning_rate": 1.3700124257388092e-08, + "loss": 0.5949, + "step": 14361 + }, + { + "epoch": 0.98, + "learning_rate": 1.3618734235075203e-08, + "loss": 0.7821, + "step": 14362 + }, + { + "epoch": 0.98, + "learning_rate": 1.3537586365761635e-08, + "loss": 0.711, + "step": 14363 + }, + { + "epoch": 0.98, + "learning_rate": 1.3456680653388121e-08, + "loss": 0.9195, + "step": 14364 + }, + { + "epoch": 0.98, + "learning_rate": 1.3376017101883742e-08, + "loss": 0.6798, + "step": 14365 + }, + { + "epoch": 0.98, + "learning_rate": 1.3295595715165366e-08, + "loss": 0.8141, + "step": 14366 + }, + { + "epoch": 0.98, + "learning_rate": 1.3215416497138756e-08, + "loss": 0.7577, + "step": 14367 + }, + { + "epoch": 0.98, + "learning_rate": 1.3135479451697464e-08, + "loss": 0.7163, + "step": 14368 + }, + { + "epoch": 0.98, + "learning_rate": 1.3055784582723941e-08, + "loss": 0.8232, + "step": 14369 + }, + { + "epoch": 0.98, + "learning_rate": 1.2976331894088423e-08, + "loss": 0.6831, + "step": 14370 + }, + { + "epoch": 0.98, + "learning_rate": 1.2897121389648381e-08, + "loss": 0.6376, + "step": 14371 + }, + { + "epoch": 0.98, + "learning_rate": 1.2818153073251294e-08, + "loss": 0.8071, + "step": 14372 + }, + { + "epoch": 0.98, + "learning_rate": 1.2739426948732426e-08, + "loss": 0.6565, + "step": 14373 + }, + { + "epoch": 0.98, + "learning_rate": 1.2660943019914274e-08, + "loss": 0.5967, + "step": 14374 + }, + { + "epoch": 0.98, + "learning_rate": 1.2582701290608234e-08, + "loss": 0.7117, + "step": 14375 + }, + { + "epoch": 0.98, + "learning_rate": 1.2504701764614047e-08, + "loss": 0.8515, + "step": 14376 + }, + { + "epoch": 0.98, + "learning_rate": 1.2426944445719791e-08, + "loss": 0.7328, + "step": 14377 + }, + { + "epoch": 0.98, + "learning_rate": 1.234942933770189e-08, + "loss": 0.8775, + "step": 14378 + }, + { + "epoch": 0.98, + "learning_rate": 1.2272156444324001e-08, + "loss": 0.7546, + "step": 14379 + }, + { + "epoch": 0.98, + "learning_rate": 1.2195125769339233e-08, + "loss": 0.5715, + "step": 14380 + }, + { + "epoch": 0.98, + "learning_rate": 1.2118337316487928e-08, + "loss": 0.8742, + "step": 14381 + }, + { + "epoch": 0.98, + "learning_rate": 1.2041791089499878e-08, + "loss": 0.6094, + "step": 14382 + }, + { + "epoch": 0.98, + "learning_rate": 1.1965487092091554e-08, + "loss": 0.8097, + "step": 14383 + }, + { + "epoch": 0.98, + "learning_rate": 1.1889425327968884e-08, + "loss": 0.7716, + "step": 14384 + }, + { + "epoch": 0.98, + "learning_rate": 1.1813605800825578e-08, + "loss": 0.8828, + "step": 14385 + }, + { + "epoch": 0.98, + "learning_rate": 1.1738028514344246e-08, + "loss": 0.7981, + "step": 14386 + }, + { + "epoch": 0.98, + "learning_rate": 1.1662693472194175e-08, + "loss": 0.6355, + "step": 14387 + }, + { + "epoch": 0.98, + "learning_rate": 1.158760067803466e-08, + "loss": 1.0869, + "step": 14388 + }, + { + "epoch": 0.98, + "learning_rate": 1.1512750135511674e-08, + "loss": 0.6463, + "step": 14389 + }, + { + "epoch": 0.98, + "learning_rate": 1.1438141848260642e-08, + "loss": 0.6566, + "step": 14390 + }, + { + "epoch": 0.98, + "learning_rate": 1.1363775819904776e-08, + "loss": 0.8249, + "step": 14391 + }, + { + "epoch": 0.98, + "learning_rate": 1.1289652054055633e-08, + "loss": 0.9069, + "step": 14392 + }, + { + "epoch": 0.98, + "learning_rate": 1.1215770554312e-08, + "loss": 0.5839, + "step": 14393 + }, + { + "epoch": 0.98, + "learning_rate": 1.1142131324262673e-08, + "loss": 0.6341, + "step": 14394 + }, + { + "epoch": 0.98, + "learning_rate": 1.106873436748368e-08, + "loss": 0.5804, + "step": 14395 + }, + { + "epoch": 0.98, + "learning_rate": 1.0995579687539392e-08, + "loss": 0.5894, + "step": 14396 + }, + { + "epoch": 0.98, + "learning_rate": 1.092266728798197e-08, + "loss": 0.7095, + "step": 14397 + }, + { + "epoch": 0.98, + "learning_rate": 1.0849997172352466e-08, + "loss": 0.6758, + "step": 14398 + }, + { + "epoch": 0.98, + "learning_rate": 1.0777569344180283e-08, + "loss": 0.6538, + "step": 14399 + }, + { + "epoch": 0.98, + "learning_rate": 1.0705383806982606e-08, + "loss": 0.729, + "step": 14400 + }, + { + "epoch": 0.98, + "learning_rate": 1.0633440564264408e-08, + "loss": 1.0054, + "step": 14401 + }, + { + "epoch": 0.98, + "learning_rate": 1.0561739619520118e-08, + "loss": 0.6978, + "step": 14402 + }, + { + "epoch": 0.98, + "learning_rate": 1.0490280976231392e-08, + "loss": 0.7236, + "step": 14403 + }, + { + "epoch": 0.98, + "learning_rate": 1.0419064637868791e-08, + "loss": 0.9545, + "step": 14404 + }, + { + "epoch": 0.98, + "learning_rate": 1.0348090607890104e-08, + "loss": 0.7218, + "step": 14405 + }, + { + "epoch": 0.98, + "learning_rate": 1.0277358889743128e-08, + "loss": 0.6725, + "step": 14406 + }, + { + "epoch": 0.98, + "learning_rate": 1.0206869486861781e-08, + "loss": 0.6222, + "step": 14407 + }, + { + "epoch": 0.98, + "learning_rate": 1.0136622402669438e-08, + "loss": 0.7143, + "step": 14408 + }, + { + "epoch": 0.98, + "learning_rate": 1.006661764057837e-08, + "loss": 0.5834, + "step": 14409 + }, + { + "epoch": 0.98, + "learning_rate": 9.996855203986966e-09, + "loss": 0.532, + "step": 14410 + }, + { + "epoch": 0.98, + "learning_rate": 9.92733509628363e-09, + "loss": 0.8006, + "step": 14411 + }, + { + "epoch": 0.98, + "learning_rate": 9.858057320844549e-09, + "loss": 0.7579, + "step": 14412 + }, + { + "epoch": 0.98, + "learning_rate": 9.789021881034255e-09, + "loss": 0.8389, + "step": 14413 + }, + { + "epoch": 0.98, + "learning_rate": 9.72022878020451e-09, + "loss": 0.4926, + "step": 14414 + }, + { + "epoch": 0.98, + "learning_rate": 9.651678021697086e-09, + "loss": 0.3716, + "step": 14415 + }, + { + "epoch": 0.98, + "learning_rate": 9.58336960884043e-09, + "loss": 0.57, + "step": 14416 + }, + { + "epoch": 0.98, + "learning_rate": 9.515303544951337e-09, + "loss": 0.6919, + "step": 14417 + }, + { + "epoch": 0.98, + "learning_rate": 9.447479833336604e-09, + "loss": 0.721, + "step": 14418 + }, + { + "epoch": 0.98, + "learning_rate": 9.379898477289152e-09, + "loss": 0.9465, + "step": 14419 + }, + { + "epoch": 0.98, + "learning_rate": 9.312559480090799e-09, + "loss": 0.6652, + "step": 14420 + }, + { + "epoch": 0.98, + "learning_rate": 9.24546284501171e-09, + "loss": 0.8746, + "step": 14421 + }, + { + "epoch": 0.98, + "learning_rate": 9.178608575310387e-09, + "loss": 0.5705, + "step": 14422 + }, + { + "epoch": 0.98, + "learning_rate": 9.111996674234235e-09, + "loss": 0.7533, + "step": 14423 + }, + { + "epoch": 0.98, + "learning_rate": 9.045627145016778e-09, + "loss": 0.8585, + "step": 14424 + }, + { + "epoch": 0.98, + "learning_rate": 8.979499990882102e-09, + "loss": 0.7787, + "step": 14425 + }, + { + "epoch": 0.98, + "learning_rate": 8.913615215040972e-09, + "loss": 0.9318, + "step": 14426 + }, + { + "epoch": 0.98, + "learning_rate": 8.847972820693052e-09, + "loss": 0.569, + "step": 14427 + }, + { + "epoch": 0.98, + "learning_rate": 8.782572811026901e-09, + "loss": 0.7051, + "step": 14428 + }, + { + "epoch": 0.98, + "learning_rate": 8.717415189217204e-09, + "loss": 0.7847, + "step": 14429 + }, + { + "epoch": 0.98, + "learning_rate": 8.652499958429205e-09, + "loss": 0.9647, + "step": 14430 + }, + { + "epoch": 0.98, + "learning_rate": 8.587827121814829e-09, + "loss": 0.8009, + "step": 14431 + }, + { + "epoch": 0.98, + "learning_rate": 8.52339668251545e-09, + "loss": 0.5458, + "step": 14432 + }, + { + "epoch": 0.98, + "learning_rate": 8.459208643659122e-09, + "loss": 0.6183, + "step": 14433 + }, + { + "epoch": 0.98, + "learning_rate": 8.395263008363353e-09, + "loss": 0.5925, + "step": 14434 + }, + { + "epoch": 0.98, + "learning_rate": 8.331559779733989e-09, + "loss": 0.6744, + "step": 14435 + }, + { + "epoch": 0.98, + "learning_rate": 8.268098960863557e-09, + "loss": 0.7271, + "step": 14436 + }, + { + "epoch": 0.98, + "learning_rate": 8.204880554835149e-09, + "loss": 0.8724, + "step": 14437 + }, + { + "epoch": 0.98, + "learning_rate": 8.141904564717973e-09, + "loss": 0.5679, + "step": 14438 + }, + { + "epoch": 0.98, + "learning_rate": 8.079170993570695e-09, + "loss": 0.7059, + "step": 14439 + }, + { + "epoch": 0.98, + "learning_rate": 8.016679844439768e-09, + "loss": 0.8838, + "step": 14440 + }, + { + "epoch": 0.98, + "learning_rate": 7.954431120359985e-09, + "loss": 0.6235, + "step": 14441 + }, + { + "epoch": 0.98, + "learning_rate": 7.892424824354484e-09, + "loss": 0.6835, + "step": 14442 + }, + { + "epoch": 0.98, + "learning_rate": 7.83066095943419e-09, + "loss": 0.6961, + "step": 14443 + }, + { + "epoch": 0.98, + "learning_rate": 7.769139528598368e-09, + "loss": 0.8426, + "step": 14444 + }, + { + "epoch": 0.98, + "learning_rate": 7.707860534834632e-09, + "loss": 0.5645, + "step": 14445 + }, + { + "epoch": 0.98, + "learning_rate": 7.646823981119489e-09, + "loss": 0.7428, + "step": 14446 + }, + { + "epoch": 0.98, + "learning_rate": 7.586029870416678e-09, + "loss": 0.6193, + "step": 14447 + }, + { + "epoch": 0.98, + "learning_rate": 7.525478205678838e-09, + "loss": 0.6745, + "step": 14448 + }, + { + "epoch": 0.98, + "learning_rate": 7.465168989845839e-09, + "loss": 0.8417, + "step": 14449 + }, + { + "epoch": 0.98, + "learning_rate": 7.405102225847005e-09, + "loss": 0.6941, + "step": 14450 + }, + { + "epoch": 0.98, + "learning_rate": 7.345277916599447e-09, + "loss": 0.6665, + "step": 14451 + }, + { + "epoch": 0.98, + "learning_rate": 7.285696065007508e-09, + "loss": 0.6079, + "step": 14452 + }, + { + "epoch": 0.98, + "learning_rate": 7.226356673966095e-09, + "loss": 0.8757, + "step": 14453 + }, + { + "epoch": 0.98, + "learning_rate": 7.167259746355681e-09, + "loss": 0.6529, + "step": 14454 + }, + { + "epoch": 0.98, + "learning_rate": 7.108405285046749e-09, + "loss": 0.7104, + "step": 14455 + }, + { + "epoch": 0.98, + "learning_rate": 7.049793292897011e-09, + "loss": 0.742, + "step": 14456 + }, + { + "epoch": 0.98, + "learning_rate": 6.991423772753636e-09, + "loss": 0.7543, + "step": 14457 + }, + { + "epoch": 0.98, + "learning_rate": 6.933296727450467e-09, + "loss": 0.396, + "step": 14458 + }, + { + "epoch": 0.98, + "learning_rate": 6.8754121598108015e-09, + "loss": 0.8584, + "step": 14459 + }, + { + "epoch": 0.98, + "learning_rate": 6.817770072645169e-09, + "loss": 0.7792, + "step": 14460 + }, + { + "epoch": 0.98, + "learning_rate": 6.760370468753552e-09, + "loss": 0.412, + "step": 14461 + }, + { + "epoch": 0.98, + "learning_rate": 6.703213350922611e-09, + "loss": 0.486, + "step": 14462 + }, + { + "epoch": 0.98, + "learning_rate": 6.646298721928457e-09, + "loss": 0.8646, + "step": 14463 + }, + { + "epoch": 0.98, + "learning_rate": 6.5896265845355465e-09, + "loss": 0.671, + "step": 14464 + }, + { + "epoch": 0.98, + "learning_rate": 6.533196941495013e-09, + "loss": 0.6159, + "step": 14465 + }, + { + "epoch": 0.98, + "learning_rate": 6.4770097955479945e-09, + "loss": 0.9524, + "step": 14466 + }, + { + "epoch": 0.98, + "learning_rate": 6.421065149422867e-09, + "loss": 0.6742, + "step": 14467 + }, + { + "epoch": 0.98, + "learning_rate": 6.365363005836345e-09, + "loss": 0.7258, + "step": 14468 + }, + { + "epoch": 0.98, + "learning_rate": 6.309903367493486e-09, + "loss": 0.6572, + "step": 14469 + }, + { + "epoch": 0.98, + "learning_rate": 6.254686237087693e-09, + "loss": 0.7787, + "step": 14470 + }, + { + "epoch": 0.98, + "learning_rate": 6.1997116173007075e-09, + "loss": 0.5312, + "step": 14471 + }, + { + "epoch": 0.98, + "learning_rate": 6.144979510802063e-09, + "loss": 0.6655, + "step": 14472 + }, + { + "epoch": 0.98, + "learning_rate": 6.090489920249076e-09, + "loss": 0.6807, + "step": 14473 + }, + { + "epoch": 0.98, + "learning_rate": 6.036242848289075e-09, + "loss": 0.8133, + "step": 14474 + }, + { + "epoch": 0.98, + "learning_rate": 5.982238297555509e-09, + "loss": 0.9164, + "step": 14475 + }, + { + "epoch": 0.98, + "learning_rate": 5.928476270671835e-09, + "loss": 0.5401, + "step": 14476 + }, + { + "epoch": 0.98, + "learning_rate": 5.874956770248186e-09, + "loss": 0.7984, + "step": 14477 + }, + { + "epoch": 0.99, + "learning_rate": 5.821679798883595e-09, + "loss": 0.7223, + "step": 14478 + }, + { + "epoch": 0.99, + "learning_rate": 5.768645359165992e-09, + "loss": 0.6471, + "step": 14479 + }, + { + "epoch": 0.99, + "learning_rate": 5.715853453669984e-09, + "loss": 0.6866, + "step": 14480 + }, + { + "epoch": 0.99, + "learning_rate": 5.6633040849601865e-09, + "loss": 0.7791, + "step": 14481 + }, + { + "epoch": 0.99, + "learning_rate": 5.610997255587891e-09, + "loss": 0.8216, + "step": 14482 + }, + { + "epoch": 0.99, + "learning_rate": 5.558932968093844e-09, + "loss": 0.7884, + "step": 14483 + }, + { + "epoch": 0.99, + "learning_rate": 5.507111225006023e-09, + "loss": 0.8398, + "step": 14484 + }, + { + "epoch": 0.99, + "learning_rate": 5.455532028841304e-09, + "loss": 0.7322, + "step": 14485 + }, + { + "epoch": 0.99, + "learning_rate": 5.404195382104349e-09, + "loss": 0.8851, + "step": 14486 + }, + { + "epoch": 0.99, + "learning_rate": 5.35310128728761e-09, + "loss": 1.0672, + "step": 14487 + }, + { + "epoch": 0.99, + "learning_rate": 5.302249746873545e-09, + "loss": 0.4709, + "step": 14488 + }, + { + "epoch": 0.99, + "learning_rate": 5.2516407633312895e-09, + "loss": 0.3988, + "step": 14489 + }, + { + "epoch": 0.99, + "learning_rate": 5.201274339117768e-09, + "loss": 0.7068, + "step": 14490 + }, + { + "epoch": 0.99, + "learning_rate": 5.151150476679912e-09, + "loss": 0.7178, + "step": 14491 + }, + { + "epoch": 0.99, + "learning_rate": 5.101269178451329e-09, + "loss": 0.7677, + "step": 14492 + }, + { + "epoch": 0.99, + "learning_rate": 5.0516304468545274e-09, + "loss": 0.6847, + "step": 14493 + }, + { + "epoch": 0.99, + "learning_rate": 5.002234284300356e-09, + "loss": 0.8738, + "step": 14494 + }, + { + "epoch": 0.99, + "learning_rate": 4.953080693187451e-09, + "loss": 0.5958, + "step": 14495 + }, + { + "epoch": 0.99, + "learning_rate": 4.904169675902237e-09, + "loss": 0.8427, + "step": 14496 + }, + { + "epoch": 0.99, + "learning_rate": 4.855501234821147e-09, + "loss": 1.0356, + "step": 14497 + }, + { + "epoch": 0.99, + "learning_rate": 4.8070753723067356e-09, + "loss": 0.8744, + "step": 14498 + }, + { + "epoch": 0.99, + "learning_rate": 4.758892090711009e-09, + "loss": 0.8677, + "step": 14499 + }, + { + "epoch": 0.99, + "learning_rate": 4.710951392374319e-09, + "loss": 0.5703, + "step": 14500 + }, + { + "epoch": 0.99, + "learning_rate": 4.663253279624247e-09, + "loss": 0.865, + "step": 14501 + }, + { + "epoch": 0.99, + "learning_rate": 4.615797754776719e-09, + "loss": 0.9825, + "step": 14502 + }, + { + "epoch": 0.99, + "learning_rate": 4.568584820137667e-09, + "loss": 0.3988, + "step": 14503 + }, + { + "epoch": 0.99, + "learning_rate": 4.5216144779985924e-09, + "loss": 1.0617, + "step": 14504 + }, + { + "epoch": 0.99, + "learning_rate": 4.474886730641004e-09, + "loss": 0.5637, + "step": 14505 + }, + { + "epoch": 0.99, + "learning_rate": 4.428401580334196e-09, + "loss": 0.7031, + "step": 14506 + }, + { + "epoch": 0.99, + "learning_rate": 4.382159029335808e-09, + "loss": 0.852, + "step": 14507 + }, + { + "epoch": 0.99, + "learning_rate": 4.336159079891267e-09, + "loss": 0.9505, + "step": 14508 + }, + { + "epoch": 0.99, + "learning_rate": 4.290401734234339e-09, + "loss": 0.7971, + "step": 14509 + }, + { + "epoch": 0.99, + "learning_rate": 4.244886994587138e-09, + "loss": 0.6822, + "step": 14510 + }, + { + "epoch": 0.99, + "learning_rate": 4.199614863160673e-09, + "loss": 0.6396, + "step": 14511 + }, + { + "epoch": 0.99, + "learning_rate": 4.1545853421520735e-09, + "loss": 0.7764, + "step": 14512 + }, + { + "epoch": 0.99, + "learning_rate": 4.10979843374959e-09, + "loss": 0.5031, + "step": 14513 + }, + { + "epoch": 0.99, + "learning_rate": 4.065254140127595e-09, + "loss": 0.6613, + "step": 14514 + }, + { + "epoch": 0.99, + "learning_rate": 4.020952463448802e-09, + "loss": 0.6615, + "step": 14515 + }, + { + "epoch": 0.99, + "learning_rate": 3.976893405865379e-09, + "loss": 0.4937, + "step": 14516 + }, + { + "epoch": 0.99, + "learning_rate": 3.9330769695167245e-09, + "loss": 0.7982, + "step": 14517 + }, + { + "epoch": 0.99, + "learning_rate": 3.889503156530583e-09, + "loss": 0.5319, + "step": 14518 + }, + { + "epoch": 0.99, + "learning_rate": 3.8461719690235936e-09, + "loss": 0.6377, + "step": 14519 + }, + { + "epoch": 0.99, + "learning_rate": 3.803083409098518e-09, + "loss": 0.8003, + "step": 14520 + }, + { + "epoch": 0.99, + "learning_rate": 3.760237478849793e-09, + "loss": 0.6567, + "step": 14521 + }, + { + "epoch": 0.99, + "learning_rate": 3.717634180356866e-09, + "loss": 0.7781, + "step": 14522 + }, + { + "epoch": 0.99, + "learning_rate": 3.6752735156886377e-09, + "loss": 1.1321, + "step": 14523 + }, + { + "epoch": 0.99, + "learning_rate": 3.6331554869034612e-09, + "loss": 0.7096, + "step": 14524 + }, + { + "epoch": 0.99, + "learning_rate": 3.591280096045258e-09, + "loss": 1.0821, + "step": 14525 + }, + { + "epoch": 0.99, + "learning_rate": 3.5496473451485105e-09, + "loss": 0.5744, + "step": 14526 + }, + { + "epoch": 0.99, + "learning_rate": 3.5082572362349354e-09, + "loss": 0.7739, + "step": 14527 + }, + { + "epoch": 0.99, + "learning_rate": 3.467109771314037e-09, + "loss": 0.8048, + "step": 14528 + }, + { + "epoch": 0.99, + "learning_rate": 3.4262049523847707e-09, + "loss": 0.77, + "step": 14529 + }, + { + "epoch": 0.99, + "learning_rate": 3.3855427814327714e-09, + "loss": 0.7229, + "step": 14530 + }, + { + "epoch": 0.99, + "learning_rate": 3.3451232604336802e-09, + "loss": 0.4525, + "step": 14531 + }, + { + "epoch": 0.99, + "learning_rate": 3.304946391349817e-09, + "loss": 0.7786, + "step": 14532 + }, + { + "epoch": 0.99, + "learning_rate": 3.265012176131843e-09, + "loss": 0.7642, + "step": 14533 + }, + { + "epoch": 0.99, + "learning_rate": 3.2253206167198737e-09, + "loss": 0.8525, + "step": 14534 + }, + { + "epoch": 0.99, + "learning_rate": 3.1858717150412554e-09, + "loss": 0.7638, + "step": 14535 + }, + { + "epoch": 0.99, + "learning_rate": 3.1466654730122338e-09, + "loss": 0.5466, + "step": 14536 + }, + { + "epoch": 0.99, + "learning_rate": 3.1077018925351753e-09, + "loss": 0.7607, + "step": 14537 + }, + { + "epoch": 0.99, + "learning_rate": 3.0689809755041213e-09, + "loss": 0.7579, + "step": 14538 + }, + { + "epoch": 0.99, + "learning_rate": 3.0305027237981234e-09, + "loss": 0.821, + "step": 14539 + }, + { + "epoch": 0.99, + "learning_rate": 2.9922671392862425e-09, + "loss": 0.8336, + "step": 14540 + }, + { + "epoch": 0.99, + "learning_rate": 2.9542742238253263e-09, + "loss": 0.6289, + "step": 14541 + }, + { + "epoch": 0.99, + "learning_rate": 2.916523979260566e-09, + "loss": 0.882, + "step": 14542 + }, + { + "epoch": 0.99, + "learning_rate": 2.8790164074254944e-09, + "loss": 0.6285, + "step": 14543 + }, + { + "epoch": 0.99, + "learning_rate": 2.841751510140878e-09, + "loss": 0.8845, + "step": 14544 + }, + { + "epoch": 0.99, + "learning_rate": 2.804729289216379e-09, + "loss": 0.748, + "step": 14545 + }, + { + "epoch": 0.99, + "learning_rate": 2.7679497464511152e-09, + "loss": 0.6111, + "step": 14546 + }, + { + "epoch": 0.99, + "learning_rate": 2.7314128836297692e-09, + "loss": 0.8169, + "step": 14547 + }, + { + "epoch": 0.99, + "learning_rate": 2.695118702527033e-09, + "loss": 0.5344, + "step": 14548 + }, + { + "epoch": 0.99, + "learning_rate": 2.6590672049059407e-09, + "loss": 0.6395, + "step": 14549 + }, + { + "epoch": 0.99, + "learning_rate": 2.623258392517314e-09, + "loss": 0.6411, + "step": 14550 + }, + { + "epoch": 0.99, + "learning_rate": 2.587692267099762e-09, + "loss": 0.7853, + "step": 14551 + }, + { + "epoch": 0.99, + "learning_rate": 2.5523688303802362e-09, + "loss": 0.6162, + "step": 14552 + }, + { + "epoch": 0.99, + "learning_rate": 2.5172880840745873e-09, + "loss": 0.5745, + "step": 14553 + }, + { + "epoch": 0.99, + "learning_rate": 2.482450029885897e-09, + "loss": 0.6315, + "step": 14554 + }, + { + "epoch": 0.99, + "learning_rate": 2.4478546695066996e-09, + "loss": 0.8416, + "step": 14555 + }, + { + "epoch": 0.99, + "learning_rate": 2.4135020046167636e-09, + "loss": 0.8372, + "step": 14556 + }, + { + "epoch": 0.99, + "learning_rate": 2.3793920368841984e-09, + "loss": 0.524, + "step": 14557 + }, + { + "epoch": 0.99, + "learning_rate": 2.345524767966012e-09, + "loss": 0.7998, + "step": 14558 + }, + { + "epoch": 0.99, + "learning_rate": 2.311900199506445e-09, + "loss": 0.694, + "step": 14559 + }, + { + "epoch": 0.99, + "learning_rate": 2.27851833313808e-09, + "loss": 0.747, + "step": 14560 + }, + { + "epoch": 0.99, + "learning_rate": 2.245379170482398e-09, + "loss": 0.9112, + "step": 14561 + }, + { + "epoch": 0.99, + "learning_rate": 2.2124827131492222e-09, + "loss": 0.5225, + "step": 14562 + }, + { + "epoch": 0.99, + "learning_rate": 2.1798289627350535e-09, + "loss": 0.7238, + "step": 14563 + }, + { + "epoch": 0.99, + "learning_rate": 2.1474179208264e-09, + "loss": 0.5037, + "step": 14564 + }, + { + "epoch": 0.99, + "learning_rate": 2.1152495889970035e-09, + "loss": 0.6381, + "step": 14565 + }, + { + "epoch": 0.99, + "learning_rate": 2.083323968809503e-09, + "loss": 0.893, + "step": 14566 + }, + { + "epoch": 0.99, + "learning_rate": 2.051641061813214e-09, + "loss": 0.6312, + "step": 14567 + }, + { + "epoch": 0.99, + "learning_rate": 2.020200869548017e-09, + "loss": 0.4677, + "step": 14568 + }, + { + "epoch": 0.99, + "learning_rate": 1.989003393539912e-09, + "loss": 0.9037, + "step": 14569 + }, + { + "epoch": 0.99, + "learning_rate": 1.958048635304355e-09, + "loss": 0.9859, + "step": 14570 + }, + { + "epoch": 0.99, + "learning_rate": 1.9273365963440315e-09, + "loss": 0.6995, + "step": 14571 + }, + { + "epoch": 0.99, + "learning_rate": 1.8968672781510823e-09, + "loss": 0.9315, + "step": 14572 + }, + { + "epoch": 0.99, + "learning_rate": 1.8666406822048787e-09, + "loss": 0.591, + "step": 14573 + }, + { + "epoch": 0.99, + "learning_rate": 1.8366568099736915e-09, + "loss": 0.6519, + "step": 14574 + }, + { + "epoch": 0.99, + "learning_rate": 1.8069156629130225e-09, + "loss": 0.7102, + "step": 14575 + }, + { + "epoch": 0.99, + "learning_rate": 1.7774172424672719e-09, + "loss": 0.6347, + "step": 14576 + }, + { + "epoch": 0.99, + "learning_rate": 1.7481615500691829e-09, + "loss": 0.6239, + "step": 14577 + }, + { + "epoch": 0.99, + "learning_rate": 1.7191485871392855e-09, + "loss": 0.5753, + "step": 14578 + }, + { + "epoch": 0.99, + "learning_rate": 1.6903783550864527e-09, + "loss": 0.7677, + "step": 14579 + }, + { + "epoch": 0.99, + "learning_rate": 1.6618508553084556e-09, + "loss": 0.7122, + "step": 14580 + }, + { + "epoch": 0.99, + "learning_rate": 1.6335660891902972e-09, + "loss": 0.7683, + "step": 14581 + }, + { + "epoch": 0.99, + "learning_rate": 1.6055240581058784e-09, + "loss": 0.5797, + "step": 14582 + }, + { + "epoch": 0.99, + "learning_rate": 1.5777247634163328e-09, + "loss": 0.8092, + "step": 14583 + }, + { + "epoch": 0.99, + "learning_rate": 1.5501682064722467e-09, + "loss": 0.8065, + "step": 14584 + }, + { + "epoch": 0.99, + "learning_rate": 1.5228543886114389e-09, + "loss": 0.6673, + "step": 14585 + }, + { + "epoch": 0.99, + "learning_rate": 1.4957833111600706e-09, + "loss": 0.7105, + "step": 14586 + }, + { + "epoch": 0.99, + "learning_rate": 1.4689549754337563e-09, + "loss": 0.4862, + "step": 14587 + }, + { + "epoch": 0.99, + "learning_rate": 1.4423693827347873e-09, + "loss": 0.6049, + "step": 14588 + }, + { + "epoch": 0.99, + "learning_rate": 1.4160265343549084e-09, + "loss": 0.4359, + "step": 14589 + }, + { + "epoch": 0.99, + "learning_rate": 1.3899264315719862e-09, + "loss": 0.7611, + "step": 14590 + }, + { + "epoch": 0.99, + "learning_rate": 1.3640690756544506e-09, + "loss": 0.5624, + "step": 14591 + }, + { + "epoch": 0.99, + "learning_rate": 1.3384544678579636e-09, + "loss": 0.9561, + "step": 14592 + }, + { + "epoch": 0.99, + "learning_rate": 1.3130826094265304e-09, + "loss": 0.5025, + "step": 14593 + }, + { + "epoch": 0.99, + "learning_rate": 1.2879535015919432e-09, + "loss": 0.5718, + "step": 14594 + }, + { + "epoch": 0.99, + "learning_rate": 1.2630671455748922e-09, + "loss": 0.6513, + "step": 14595 + }, + { + "epoch": 0.99, + "learning_rate": 1.2384235425838554e-09, + "loss": 0.8669, + "step": 14596 + }, + { + "epoch": 0.99, + "learning_rate": 1.214022693815653e-09, + "loss": 0.9699, + "step": 14597 + }, + { + "epoch": 0.99, + "learning_rate": 1.189864600454338e-09, + "loss": 0.6606, + "step": 14598 + }, + { + "epoch": 0.99, + "learning_rate": 1.1659492636745262e-09, + "loss": 0.9893, + "step": 14599 + }, + { + "epoch": 0.99, + "learning_rate": 1.142276684636956e-09, + "loss": 0.711, + "step": 14600 + }, + { + "epoch": 0.99, + "learning_rate": 1.118846864490708e-09, + "loss": 0.4191, + "step": 14601 + }, + { + "epoch": 0.99, + "learning_rate": 1.0956598043748713e-09, + "loss": 0.7727, + "step": 14602 + }, + { + "epoch": 0.99, + "learning_rate": 1.0727155054141014e-09, + "loss": 0.5142, + "step": 14603 + }, + { + "epoch": 0.99, + "learning_rate": 1.0500139687236178e-09, + "loss": 0.6779, + "step": 14604 + }, + { + "epoch": 0.99, + "learning_rate": 1.0275551954053166e-09, + "loss": 0.6964, + "step": 14605 + }, + { + "epoch": 0.99, + "learning_rate": 1.005339186550547e-09, + "loss": 0.9185, + "step": 14606 + }, + { + "epoch": 0.99, + "learning_rate": 9.833659432367803e-10, + "loss": 0.9238, + "step": 14607 + }, + { + "epoch": 0.99, + "learning_rate": 9.616354665326066e-10, + "loss": 0.7163, + "step": 14608 + }, + { + "epoch": 0.99, + "learning_rate": 9.401477574932927e-10, + "loss": 0.7913, + "step": 14609 + }, + { + "epoch": 0.99, + "learning_rate": 9.189028171607827e-10, + "loss": 0.5813, + "step": 14610 + }, + { + "epoch": 0.99, + "learning_rate": 8.979006465681395e-10, + "loss": 0.8938, + "step": 14611 + }, + { + "epoch": 0.99, + "learning_rate": 8.771412467356577e-10, + "loss": 0.7231, + "step": 14612 + }, + { + "epoch": 0.99, + "learning_rate": 8.566246186697547e-10, + "loss": 0.6086, + "step": 14613 + }, + { + "epoch": 0.99, + "learning_rate": 8.363507633685209e-10, + "loss": 0.62, + "step": 14614 + }, + { + "epoch": 0.99, + "learning_rate": 8.163196818150587e-10, + "loss": 0.7843, + "step": 14615 + }, + { + "epoch": 0.99, + "learning_rate": 7.96531374983589e-10, + "loss": 0.653, + "step": 14616 + }, + { + "epoch": 0.99, + "learning_rate": 7.769858438338995e-10, + "loss": 0.4763, + "step": 14617 + }, + { + "epoch": 0.99, + "learning_rate": 7.57683089315786e-10, + "loss": 0.8266, + "step": 14618 + }, + { + "epoch": 0.99, + "learning_rate": 7.386231123668319e-10, + "loss": 0.7616, + "step": 14619 + }, + { + "epoch": 0.99, + "learning_rate": 7.198059139118529e-10, + "loss": 0.8976, + "step": 14620 + }, + { + "epoch": 0.99, + "learning_rate": 7.012314948651178e-10, + "loss": 0.6169, + "step": 14621 + }, + { + "epoch": 0.99, + "learning_rate": 6.828998561286826e-10, + "loss": 0.6042, + "step": 14622 + }, + { + "epoch": 0.99, + "learning_rate": 6.648109985929462e-10, + "loss": 0.9308, + "step": 14623 + }, + { + "epoch": 0.99, + "learning_rate": 6.469649231360952e-10, + "loss": 0.7455, + "step": 14624 + }, + { + "epoch": 1.0, + "learning_rate": 6.293616306246586e-10, + "loss": 0.6775, + "step": 14625 + }, + { + "epoch": 1.0, + "learning_rate": 6.120011219140631e-10, + "loss": 0.9081, + "step": 14626 + }, + { + "epoch": 1.0, + "learning_rate": 5.948833978469682e-10, + "loss": 0.4099, + "step": 14627 + }, + { + "epoch": 1.0, + "learning_rate": 5.780084592543756e-10, + "loss": 0.7088, + "step": 14628 + }, + { + "epoch": 1.0, + "learning_rate": 5.61376306956185e-10, + "loss": 0.5942, + "step": 14629 + }, + { + "epoch": 1.0, + "learning_rate": 5.449869417606391e-10, + "loss": 0.8748, + "step": 14630 + }, + { + "epoch": 1.0, + "learning_rate": 5.288403644626571e-10, + "loss": 0.476, + "step": 14631 + }, + { + "epoch": 1.0, + "learning_rate": 5.12936575846612e-10, + "loss": 0.892, + "step": 14632 + }, + { + "epoch": 1.0, + "learning_rate": 4.972755766846637e-10, + "loss": 0.9108, + "step": 14633 + }, + { + "epoch": 1.0, + "learning_rate": 4.818573677384253e-10, + "loss": 0.7872, + "step": 14634 + }, + { + "epoch": 1.0, + "learning_rate": 4.666819497556318e-10, + "loss": 0.6706, + "step": 14635 + }, + { + "epoch": 1.0, + "learning_rate": 4.5174932347347153e-10, + "loss": 0.5647, + "step": 14636 + }, + { + "epoch": 1.0, + "learning_rate": 4.3705948961692003e-10, + "loss": 0.7972, + "step": 14637 + }, + { + "epoch": 1.0, + "learning_rate": 4.2261244889985067e-10, + "loss": 0.6229, + "step": 14638 + }, + { + "epoch": 1.0, + "learning_rate": 4.0840820202336927e-10, + "loss": 0.8749, + "step": 14639 + }, + { + "epoch": 1.0, + "learning_rate": 3.9444674967803465e-10, + "loss": 0.7884, + "step": 14640 + }, + { + "epoch": 1.0, + "learning_rate": 3.8072809254108277e-10, + "loss": 0.8244, + "step": 14641 + }, + { + "epoch": 1.0, + "learning_rate": 3.672522312786475e-10, + "loss": 0.8907, + "step": 14642 + }, + { + "epoch": 1.0, + "learning_rate": 3.540191665457604e-10, + "loss": 0.9555, + "step": 14643 + }, + { + "epoch": 1.0, + "learning_rate": 3.410288989846855e-10, + "loss": 0.953, + "step": 14644 + }, + { + "epoch": 1.0, + "learning_rate": 3.2828142922658456e-10, + "loss": 0.8872, + "step": 14645 + }, + { + "epoch": 1.0, + "learning_rate": 3.157767578898518e-10, + "loss": 0.7558, + "step": 14646 + }, + { + "epoch": 1.0, + "learning_rate": 3.0351488558233444e-10, + "loss": 0.5081, + "step": 14647 + }, + { + "epoch": 1.0, + "learning_rate": 2.91495812899667e-10, + "loss": 0.3492, + "step": 14648 + }, + { + "epoch": 1.0, + "learning_rate": 2.797195404247166e-10, + "loss": 0.9498, + "step": 14649 + }, + { + "epoch": 1.0, + "learning_rate": 2.6818606873035836e-10, + "loss": 0.7156, + "step": 14650 + }, + { + "epoch": 1.0, + "learning_rate": 2.568953983761446e-10, + "loss": 0.5016, + "step": 14651 + }, + { + "epoch": 1.0, + "learning_rate": 2.4584752990997053e-10, + "loss": 0.5426, + "step": 14652 + }, + { + "epoch": 1.0, + "learning_rate": 2.3504246386918394e-10, + "loss": 0.8729, + "step": 14653 + }, + { + "epoch": 1.0, + "learning_rate": 2.244802007783653e-10, + "loss": 0.5982, + "step": 14654 + }, + { + "epoch": 1.0, + "learning_rate": 2.141607411498825e-10, + "loss": 0.8579, + "step": 14655 + }, + { + "epoch": 1.0, + "learning_rate": 2.0408408548500126e-10, + "loss": 0.6209, + "step": 14656 + }, + { + "epoch": 1.0, + "learning_rate": 1.94250234273885e-10, + "loss": 0.8989, + "step": 14657 + }, + { + "epoch": 1.0, + "learning_rate": 1.8465918799337458e-10, + "loss": 0.7172, + "step": 14658 + }, + { + "epoch": 1.0, + "learning_rate": 1.753109471092085e-10, + "loss": 0.7205, + "step": 14659 + }, + { + "epoch": 1.0, + "learning_rate": 1.6620551207546799e-10, + "loss": 0.6617, + "step": 14660 + }, + { + "epoch": 1.0, + "learning_rate": 1.5734288333457692e-10, + "loss": 0.661, + "step": 14661 + }, + { + "epoch": 1.0, + "learning_rate": 1.4872306131674675e-10, + "loss": 0.6341, + "step": 14662 + }, + { + "epoch": 1.0, + "learning_rate": 1.4034604644053152e-10, + "loss": 0.7274, + "step": 14663 + }, + { + "epoch": 1.0, + "learning_rate": 1.32211839112828e-10, + "loss": 0.5881, + "step": 14664 + }, + { + "epoch": 1.0, + "learning_rate": 1.2432043972832042e-10, + "loss": 0.6472, + "step": 14665 + }, + { + "epoch": 1.0, + "learning_rate": 1.16671848671146e-10, + "loss": 0.5528, + "step": 14666 + }, + { + "epoch": 1.0, + "learning_rate": 1.0926606631156411e-10, + "loss": 0.7137, + "step": 14667 + }, + { + "epoch": 1.0, + "learning_rate": 1.0210309300984212e-10, + "loss": 0.6932, + "step": 14668 + }, + { + "epoch": 1.0, + "learning_rate": 9.518292911403493e-11, + "loss": 0.6259, + "step": 14669 + }, + { + "epoch": 1.0, + "learning_rate": 8.850557495998502e-11, + "loss": 0.6382, + "step": 14670 + }, + { + "epoch": 1.0, + "learning_rate": 8.20710308718775e-11, + "loss": 0.8995, + "step": 14671 + }, + { + "epoch": 1.0, + "learning_rate": 7.587929716224018e-11, + "loss": 0.8106, + "step": 14672 + }, + { + "epoch": 1.0, + "learning_rate": 6.993037413194348e-11, + "loss": 0.7224, + "step": 14673 + }, + { + "epoch": 1.0, + "learning_rate": 6.422426206964538e-11, + "loss": 0.8834, + "step": 14674 + }, + { + "epoch": 1.0, + "learning_rate": 5.876096125234653e-11, + "loss": 0.7777, + "step": 14675 + }, + { + "epoch": 1.0, + "learning_rate": 5.354047194539025e-11, + "loss": 0.7487, + "step": 14676 + }, + { + "epoch": 1.0, + "learning_rate": 4.856279440301759e-11, + "loss": 0.743, + "step": 14677 + }, + { + "epoch": 1.0, + "learning_rate": 4.382792886614695e-11, + "loss": 0.7295, + "step": 14678 + }, + { + "epoch": 1.0, + "learning_rate": 3.9335875564594505e-11, + "loss": 0.6531, + "step": 14679 + }, + { + "epoch": 1.0, + "learning_rate": 3.508663471707419e-11, + "loss": 0.9108, + "step": 14680 + }, + { + "epoch": 1.0, + "learning_rate": 3.108020653008748e-11, + "loss": 0.8436, + "step": 14681 + }, + { + "epoch": 1.0, + "learning_rate": 2.7316591197368292e-11, + "loss": 0.7091, + "step": 14682 + }, + { + "epoch": 1.0, + "learning_rate": 2.3795788902658546e-11, + "loss": 0.983, + "step": 14683 + }, + { + "epoch": 1.0, + "learning_rate": 2.051779981582236e-11, + "loss": 0.733, + "step": 14684 + }, + { + "epoch": 1.0, + "learning_rate": 1.748262409728696e-11, + "loss": 0.7099, + "step": 14685 + }, + { + "epoch": 1.0, + "learning_rate": 1.4690261893601786e-11, + "loss": 0.6306, + "step": 14686 + }, + { + "epoch": 1.0, + "learning_rate": 1.214071334021405e-11, + "loss": 0.6659, + "step": 14687 + }, + { + "epoch": 1.0, + "learning_rate": 9.833978562023838e-12, + "loss": 0.5789, + "step": 14688 + }, + { + "epoch": 1.0, + "learning_rate": 7.770057670053455e-12, + "loss": 0.6789, + "step": 14689 + }, + { + "epoch": 1.0, + "learning_rate": 5.948950764778083e-12, + "loss": 0.78, + "step": 14690 + }, + { + "epoch": 1.0, + "learning_rate": 4.370657934460454e-12, + "loss": 0.5813, + "step": 14691 + }, + { + "epoch": 1.0, + "learning_rate": 3.035179256261067e-12, + "loss": 0.6589, + "step": 14692 + }, + { + "epoch": 1.0, + "learning_rate": 1.9425147945728582e-12, + "loss": 0.8774, + "step": 14693 + }, + { + "epoch": 1.0, + "learning_rate": 1.0926646032416444e-12, + "loss": 1.0412, + "step": 14694 + }, + { + "epoch": 1.0, + "learning_rate": 4.856287222354538e-13, + "loss": 0.5988, + "step": 14695 + }, + { + "epoch": 1.0, + "learning_rate": 1.2140718208542013e-13, + "loss": 1.0653, + "step": 14696 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.541, + "step": 14697 + }, + { + "epoch": 1.0, + "step": 14697, + "total_flos": 1.6050245966611087e+18, + "train_loss": 0.7725475761118556, + "train_runtime": 502738.5976, + "train_samples_per_second": 0.468, + "train_steps_per_second": 0.029 + } + ], + "logging_steps": 1.0, + "max_steps": 14697, + "num_train_epochs": 1, + "save_steps": 1000, + "total_flos": 1.6050245966611087e+18, + "trial_name": null, + "trial_params": null +}