diff --git "a/checkpoint-1000/trainer_state.json" "b/checkpoint-1000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-1000/trainer_state.json" @@ -0,0 +1,6016 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.3071393563143276, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.8985507246376816e-07, + "loss": 2.3988, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 5.797101449275363e-07, + "loss": 2.2096, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 8.695652173913044e-07, + "loss": 1.8346, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 1.1594202898550726e-06, + "loss": 1.8346, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 1.4492753623188408e-06, + "loss": 1.9785, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 1.7391304347826088e-06, + "loss": 1.8236, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 2.028985507246377e-06, + "loss": 1.8187, + "step": 7 + }, + { + "epoch": 0.01, + "learning_rate": 2.3188405797101453e-06, + "loss": 1.8793, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 2.6086956521739132e-06, + "loss": 1.928, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 2.8985507246376816e-06, + "loss": 1.76, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 3.188405797101449e-06, + "loss": 1.7108, + "step": 11 + }, + { + "epoch": 0.02, + "learning_rate": 3.4782608695652175e-06, + "loss": 1.7712, + "step": 12 + }, + { + "epoch": 0.02, + "learning_rate": 3.768115942028986e-06, + "loss": 1.8288, + "step": 13 + }, + { + "epoch": 0.02, + "learning_rate": 4.057971014492754e-06, + "loss": 1.8112, + "step": 14 + }, + { + "epoch": 0.02, + "learning_rate": 4.347826086956522e-06, + "loss": 1.7858, + "step": 15 + }, + { + "epoch": 0.02, + "learning_rate": 4.637681159420291e-06, + "loss": 1.7692, + "step": 16 + }, + { + "epoch": 0.02, + "learning_rate": 4.927536231884059e-06, + "loss": 1.6936, + "step": 17 + }, + { + "epoch": 0.02, + "learning_rate": 5.2173913043478265e-06, + "loss": 1.8671, + "step": 18 + }, + { + "epoch": 0.02, + "learning_rate": 5.507246376811595e-06, + "loss": 1.7851, + "step": 19 + }, + { + "epoch": 0.03, + "learning_rate": 5.797101449275363e-06, + "loss": 1.8736, + "step": 20 + }, + { + "epoch": 0.03, + "learning_rate": 6.086956521739132e-06, + "loss": 1.828, + "step": 21 + }, + { + "epoch": 0.03, + "learning_rate": 6.376811594202898e-06, + "loss": 1.6725, + "step": 22 + }, + { + "epoch": 0.03, + "learning_rate": 6.666666666666667e-06, + "loss": 1.6799, + "step": 23 + }, + { + "epoch": 0.03, + "learning_rate": 6.956521739130435e-06, + "loss": 1.9097, + "step": 24 + }, + { + "epoch": 0.03, + "learning_rate": 7.246376811594203e-06, + "loss": 1.8499, + "step": 25 + }, + { + "epoch": 0.03, + "learning_rate": 7.536231884057972e-06, + "loss": 1.7507, + "step": 26 + }, + { + "epoch": 0.04, + "learning_rate": 7.82608695652174e-06, + "loss": 1.6498, + "step": 27 + }, + { + "epoch": 0.04, + "learning_rate": 8.115942028985508e-06, + "loss": 1.6504, + "step": 28 + }, + { + "epoch": 0.04, + "learning_rate": 8.405797101449275e-06, + "loss": 1.5428, + "step": 29 + }, + { + "epoch": 0.04, + "learning_rate": 8.695652173913044e-06, + "loss": 1.7138, + "step": 30 + }, + { + "epoch": 0.04, + "learning_rate": 8.985507246376812e-06, + "loss": 1.6575, + "step": 31 + }, + { + "epoch": 0.04, + "learning_rate": 9.275362318840581e-06, + "loss": 1.8043, + "step": 32 + }, + { + "epoch": 0.04, + "learning_rate": 9.565217391304349e-06, + "loss": 1.7853, + "step": 33 + }, + { + "epoch": 0.04, + "learning_rate": 9.855072463768118e-06, + "loss": 1.6425, + "step": 34 + }, + { + "epoch": 0.05, + "learning_rate": 1.0144927536231885e-05, + "loss": 1.7267, + "step": 35 + }, + { + "epoch": 0.05, + "learning_rate": 1.0434782608695653e-05, + "loss": 1.6063, + "step": 36 + }, + { + "epoch": 0.05, + "learning_rate": 1.0724637681159422e-05, + "loss": 1.7126, + "step": 37 + }, + { + "epoch": 0.05, + "learning_rate": 1.101449275362319e-05, + "loss": 1.6379, + "step": 38 + }, + { + "epoch": 0.05, + "learning_rate": 1.1304347826086957e-05, + "loss": 1.7932, + "step": 39 + }, + { + "epoch": 0.05, + "learning_rate": 1.1594202898550726e-05, + "loss": 1.5776, + "step": 40 + }, + { + "epoch": 0.05, + "learning_rate": 1.1884057971014494e-05, + "loss": 1.6716, + "step": 41 + }, + { + "epoch": 0.05, + "learning_rate": 1.2173913043478263e-05, + "loss": 1.5683, + "step": 42 + }, + { + "epoch": 0.06, + "learning_rate": 1.2463768115942029e-05, + "loss": 1.7941, + "step": 43 + }, + { + "epoch": 0.06, + "learning_rate": 1.2753623188405797e-05, + "loss": 1.6677, + "step": 44 + }, + { + "epoch": 0.06, + "learning_rate": 1.3043478260869566e-05, + "loss": 1.6677, + "step": 45 + }, + { + "epoch": 0.06, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.8042, + "step": 46 + }, + { + "epoch": 0.06, + "learning_rate": 1.3623188405797103e-05, + "loss": 1.6045, + "step": 47 + }, + { + "epoch": 0.06, + "learning_rate": 1.391304347826087e-05, + "loss": 1.6353, + "step": 48 + }, + { + "epoch": 0.06, + "learning_rate": 1.420289855072464e-05, + "loss": 1.6586, + "step": 49 + }, + { + "epoch": 0.07, + "learning_rate": 1.4492753623188407e-05, + "loss": 1.626, + "step": 50 + }, + { + "epoch": 0.07, + "learning_rate": 1.4782608695652174e-05, + "loss": 1.6165, + "step": 51 + }, + { + "epoch": 0.07, + "learning_rate": 1.5072463768115944e-05, + "loss": 1.6579, + "step": 52 + }, + { + "epoch": 0.07, + "learning_rate": 1.536231884057971e-05, + "loss": 1.585, + "step": 53 + }, + { + "epoch": 0.07, + "learning_rate": 1.565217391304348e-05, + "loss": 1.585, + "step": 54 + }, + { + "epoch": 0.07, + "learning_rate": 1.5942028985507246e-05, + "loss": 1.594, + "step": 55 + }, + { + "epoch": 0.07, + "learning_rate": 1.6231884057971015e-05, + "loss": 1.6924, + "step": 56 + }, + { + "epoch": 0.07, + "learning_rate": 1.6521739130434785e-05, + "loss": 1.8485, + "step": 57 + }, + { + "epoch": 0.08, + "learning_rate": 1.681159420289855e-05, + "loss": 1.6987, + "step": 58 + }, + { + "epoch": 0.08, + "learning_rate": 1.710144927536232e-05, + "loss": 1.5926, + "step": 59 + }, + { + "epoch": 0.08, + "learning_rate": 1.739130434782609e-05, + "loss": 1.6222, + "step": 60 + }, + { + "epoch": 0.08, + "learning_rate": 1.7681159420289858e-05, + "loss": 1.6906, + "step": 61 + }, + { + "epoch": 0.08, + "learning_rate": 1.7971014492753624e-05, + "loss": 1.6466, + "step": 62 + }, + { + "epoch": 0.08, + "learning_rate": 1.8260869565217393e-05, + "loss": 1.6629, + "step": 63 + }, + { + "epoch": 0.08, + "learning_rate": 1.8550724637681162e-05, + "loss": 1.7639, + "step": 64 + }, + { + "epoch": 0.08, + "learning_rate": 1.8840579710144928e-05, + "loss": 1.5877, + "step": 65 + }, + { + "epoch": 0.09, + "learning_rate": 1.9130434782608697e-05, + "loss": 1.6888, + "step": 66 + }, + { + "epoch": 0.09, + "learning_rate": 1.9420289855072467e-05, + "loss": 1.6415, + "step": 67 + }, + { + "epoch": 0.09, + "learning_rate": 1.9710144927536236e-05, + "loss": 1.6959, + "step": 68 + }, + { + "epoch": 0.09, + "learning_rate": 2e-05, + "loss": 1.6053, + "step": 69 + }, + { + "epoch": 0.09, + "learning_rate": 1.999999004091687e-05, + "loss": 1.5844, + "step": 70 + }, + { + "epoch": 0.09, + "learning_rate": 1.9999960163687307e-05, + "loss": 1.7203, + "step": 71 + }, + { + "epoch": 0.09, + "learning_rate": 1.9999910368370826e-05, + "loss": 1.6762, + "step": 72 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999840655066608e-05, + "loss": 1.7704, + "step": 73 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999751023913506e-05, + "loss": 1.8186, + "step": 74 + }, + { + "epoch": 0.1, + "learning_rate": 1.999964147509006e-05, + "loss": 1.816, + "step": 75 + }, + { + "epoch": 0.1, + "learning_rate": 1.999951200881446e-05, + "loss": 1.6055, + "step": 76 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999362625344584e-05, + "loss": 1.7048, + "step": 77 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999193324977974e-05, + "loss": 1.6125, + "step": 78 + }, + { + "epoch": 0.1, + "learning_rate": 1.9999004108051846e-05, + "loss": 1.7239, + "step": 79 + }, + { + "epoch": 0.1, + "learning_rate": 1.9998794974943087e-05, + "loss": 1.7377, + "step": 80 + }, + { + "epoch": 0.11, + "learning_rate": 1.9998565926068253e-05, + "loss": 1.6942, + "step": 81 + }, + { + "epoch": 0.11, + "learning_rate": 1.9998316961883563e-05, + "loss": 1.6398, + "step": 82 + }, + { + "epoch": 0.11, + "learning_rate": 1.999804808288491e-05, + "loss": 1.5898, + "step": 83 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997759289607854e-05, + "loss": 1.6926, + "step": 84 + }, + { + "epoch": 0.11, + "learning_rate": 1.9997450582627614e-05, + "loss": 1.5962, + "step": 85 + }, + { + "epoch": 0.11, + "learning_rate": 1.999712196255908e-05, + "loss": 1.7171, + "step": 86 + }, + { + "epoch": 0.11, + "learning_rate": 1.9996773430056806e-05, + "loss": 1.6443, + "step": 87 + }, + { + "epoch": 0.12, + "learning_rate": 1.9996404985814998e-05, + "loss": 1.7252, + "step": 88 + }, + { + "epoch": 0.12, + "learning_rate": 1.9996016630567535e-05, + "loss": 1.6777, + "step": 89 + }, + { + "epoch": 0.12, + "learning_rate": 1.9995608365087945e-05, + "loss": 1.6758, + "step": 90 + }, + { + "epoch": 0.12, + "learning_rate": 1.9995180190189424e-05, + "loss": 1.6416, + "step": 91 + }, + { + "epoch": 0.12, + "learning_rate": 1.999473210672481e-05, + "loss": 1.6161, + "step": 92 + }, + { + "epoch": 0.12, + "learning_rate": 1.999426411558661e-05, + "loss": 1.8361, + "step": 93 + }, + { + "epoch": 0.12, + "learning_rate": 1.9993776217706972e-05, + "loss": 1.6755, + "step": 94 + }, + { + "epoch": 0.12, + "learning_rate": 1.9993268414057704e-05, + "loss": 1.5446, + "step": 95 + }, + { + "epoch": 0.13, + "learning_rate": 1.9992740705650252e-05, + "loss": 1.6776, + "step": 96 + }, + { + "epoch": 0.13, + "learning_rate": 1.999219309353572e-05, + "loss": 1.5742, + "step": 97 + }, + { + "epoch": 0.13, + "learning_rate": 1.999162557880485e-05, + "loss": 1.7124, + "step": 98 + }, + { + "epoch": 0.13, + "learning_rate": 1.9991038162588018e-05, + "loss": 1.6711, + "step": 99 + }, + { + "epoch": 0.13, + "learning_rate": 1.999043084605526e-05, + "loss": 1.5564, + "step": 100 + }, + { + "epoch": 0.13, + "learning_rate": 1.998980363041624e-05, + "loss": 1.666, + "step": 101 + }, + { + "epoch": 0.13, + "learning_rate": 1.9989156516920248e-05, + "loss": 1.7261, + "step": 102 + }, + { + "epoch": 0.13, + "learning_rate": 1.9988489506856218e-05, + "loss": 1.5975, + "step": 103 + }, + { + "epoch": 0.14, + "learning_rate": 1.9987802601552717e-05, + "loss": 1.5775, + "step": 104 + }, + { + "epoch": 0.14, + "learning_rate": 1.9987095802377933e-05, + "loss": 1.6664, + "step": 105 + }, + { + "epoch": 0.14, + "learning_rate": 1.9986369110739675e-05, + "loss": 1.6425, + "step": 106 + }, + { + "epoch": 0.14, + "learning_rate": 1.9985622528085382e-05, + "loss": 1.7126, + "step": 107 + }, + { + "epoch": 0.14, + "learning_rate": 1.998485605590211e-05, + "loss": 1.5268, + "step": 108 + }, + { + "epoch": 0.14, + "learning_rate": 1.9984069695716534e-05, + "loss": 1.7186, + "step": 109 + }, + { + "epoch": 0.14, + "learning_rate": 1.998326344909494e-05, + "loss": 1.5536, + "step": 110 + }, + { + "epoch": 0.15, + "learning_rate": 1.9982437317643218e-05, + "loss": 1.743, + "step": 111 + }, + { + "epoch": 0.15, + "learning_rate": 1.998159130300687e-05, + "loss": 1.7855, + "step": 112 + }, + { + "epoch": 0.15, + "learning_rate": 1.9980725406871007e-05, + "loss": 1.6741, + "step": 113 + }, + { + "epoch": 0.15, + "learning_rate": 1.9979839630960333e-05, + "loss": 1.6982, + "step": 114 + }, + { + "epoch": 0.15, + "learning_rate": 1.997893397703915e-05, + "loss": 1.9001, + "step": 115 + }, + { + "epoch": 0.15, + "learning_rate": 1.9978008446911354e-05, + "loss": 1.8314, + "step": 116 + }, + { + "epoch": 0.15, + "learning_rate": 1.9977063042420438e-05, + "loss": 1.6957, + "step": 117 + }, + { + "epoch": 0.15, + "learning_rate": 1.9976097765449463e-05, + "loss": 1.6764, + "step": 118 + }, + { + "epoch": 0.16, + "learning_rate": 1.9975112617921097e-05, + "loss": 1.6958, + "step": 119 + }, + { + "epoch": 0.16, + "learning_rate": 1.997410760179756e-05, + "loss": 1.6011, + "step": 120 + }, + { + "epoch": 0.16, + "learning_rate": 1.9973082719080673e-05, + "loss": 1.665, + "step": 121 + }, + { + "epoch": 0.16, + "learning_rate": 1.9972037971811802e-05, + "loss": 1.6208, + "step": 122 + }, + { + "epoch": 0.16, + "learning_rate": 1.99709733620719e-05, + "loss": 1.6691, + "step": 123 + }, + { + "epoch": 0.16, + "learning_rate": 1.9969888891981473e-05, + "loss": 1.8241, + "step": 124 + }, + { + "epoch": 0.16, + "learning_rate": 1.9968784563700586e-05, + "loss": 1.7574, + "step": 125 + }, + { + "epoch": 0.16, + "learning_rate": 1.9967660379428855e-05, + "loss": 1.6484, + "step": 126 + }, + { + "epoch": 0.17, + "learning_rate": 1.9966516341405452e-05, + "loss": 1.5869, + "step": 127 + }, + { + "epoch": 0.17, + "learning_rate": 1.996535245190909e-05, + "loss": 1.7188, + "step": 128 + }, + { + "epoch": 0.17, + "learning_rate": 1.996416871325803e-05, + "loss": 1.6428, + "step": 129 + }, + { + "epoch": 0.17, + "learning_rate": 1.996296512781005e-05, + "loss": 1.7432, + "step": 130 + }, + { + "epoch": 0.17, + "learning_rate": 1.996174169796248e-05, + "loss": 1.6332, + "step": 131 + }, + { + "epoch": 0.17, + "learning_rate": 1.996049842615217e-05, + "loss": 1.7188, + "step": 132 + }, + { + "epoch": 0.17, + "learning_rate": 1.9959235314855485e-05, + "loss": 1.7858, + "step": 133 + }, + { + "epoch": 0.18, + "learning_rate": 1.9957952366588307e-05, + "loss": 1.5635, + "step": 134 + }, + { + "epoch": 0.18, + "learning_rate": 1.995664958390604e-05, + "loss": 1.7286, + "step": 135 + }, + { + "epoch": 0.18, + "learning_rate": 1.9955326969403587e-05, + "loss": 1.5419, + "step": 136 + }, + { + "epoch": 0.18, + "learning_rate": 1.9953984525715354e-05, + "loss": 1.6727, + "step": 137 + }, + { + "epoch": 0.18, + "learning_rate": 1.995262225551524e-05, + "loss": 1.6839, + "step": 138 + }, + { + "epoch": 0.18, + "learning_rate": 1.9951240161516643e-05, + "loss": 1.5626, + "step": 139 + }, + { + "epoch": 0.18, + "learning_rate": 1.9949838246472436e-05, + "loss": 1.6662, + "step": 140 + }, + { + "epoch": 0.18, + "learning_rate": 1.9948416513174976e-05, + "loss": 1.6306, + "step": 141 + }, + { + "epoch": 0.19, + "learning_rate": 1.9946974964456094e-05, + "loss": 1.6706, + "step": 142 + }, + { + "epoch": 0.19, + "learning_rate": 1.9945513603187096e-05, + "loss": 1.8325, + "step": 143 + }, + { + "epoch": 0.19, + "learning_rate": 1.9944032432278743e-05, + "loss": 1.7128, + "step": 144 + }, + { + "epoch": 0.19, + "learning_rate": 1.9942531454681254e-05, + "loss": 1.6979, + "step": 145 + }, + { + "epoch": 0.19, + "learning_rate": 1.9941010673384307e-05, + "loss": 1.6811, + "step": 146 + }, + { + "epoch": 0.19, + "learning_rate": 1.9939470091417012e-05, + "loss": 1.5436, + "step": 147 + }, + { + "epoch": 0.19, + "learning_rate": 1.993790971184793e-05, + "loss": 1.705, + "step": 148 + }, + { + "epoch": 0.19, + "learning_rate": 1.9936329537785054e-05, + "loss": 1.5621, + "step": 149 + }, + { + "epoch": 0.2, + "learning_rate": 1.9934729572375792e-05, + "loss": 1.7562, + "step": 150 + }, + { + "epoch": 0.2, + "learning_rate": 1.993310981880699e-05, + "loss": 1.6263, + "step": 151 + }, + { + "epoch": 0.2, + "learning_rate": 1.9931470280304895e-05, + "loss": 1.6247, + "step": 152 + }, + { + "epoch": 0.2, + "learning_rate": 1.992981096013517e-05, + "loss": 1.6521, + "step": 153 + }, + { + "epoch": 0.2, + "learning_rate": 1.9928131861602878e-05, + "loss": 1.5587, + "step": 154 + }, + { + "epoch": 0.2, + "learning_rate": 1.992643298805247e-05, + "loss": 1.6085, + "step": 155 + }, + { + "epoch": 0.2, + "learning_rate": 1.992471434286779e-05, + "loss": 1.5774, + "step": 156 + }, + { + "epoch": 0.21, + "learning_rate": 1.9922975929472076e-05, + "loss": 1.731, + "step": 157 + }, + { + "epoch": 0.21, + "learning_rate": 1.9921217751327916e-05, + "loss": 1.5823, + "step": 158 + }, + { + "epoch": 0.21, + "learning_rate": 1.9919439811937283e-05, + "loss": 1.5621, + "step": 159 + }, + { + "epoch": 0.21, + "learning_rate": 1.9917642114841505e-05, + "loss": 1.6566, + "step": 160 + }, + { + "epoch": 0.21, + "learning_rate": 1.9915824663621267e-05, + "loss": 1.5214, + "step": 161 + }, + { + "epoch": 0.21, + "learning_rate": 1.9913987461896597e-05, + "loss": 1.7257, + "step": 162 + }, + { + "epoch": 0.21, + "learning_rate": 1.9912130513326863e-05, + "loss": 1.7401, + "step": 163 + }, + { + "epoch": 0.21, + "learning_rate": 1.991025382161077e-05, + "loss": 1.5845, + "step": 164 + }, + { + "epoch": 0.22, + "learning_rate": 1.9908357390486342e-05, + "loss": 1.6235, + "step": 165 + }, + { + "epoch": 0.22, + "learning_rate": 1.990644122373092e-05, + "loss": 1.571, + "step": 166 + }, + { + "epoch": 0.22, + "learning_rate": 1.990450532516116e-05, + "loss": 1.8406, + "step": 167 + }, + { + "epoch": 0.22, + "learning_rate": 1.990254969863301e-05, + "loss": 1.8326, + "step": 168 + }, + { + "epoch": 0.22, + "learning_rate": 1.9900574348041728e-05, + "loss": 1.6099, + "step": 169 + }, + { + "epoch": 0.22, + "learning_rate": 1.9898579277321845e-05, + "loss": 1.4999, + "step": 170 + }, + { + "epoch": 0.22, + "learning_rate": 1.989656449044718e-05, + "loss": 1.6982, + "step": 171 + }, + { + "epoch": 0.22, + "learning_rate": 1.9894529991430814e-05, + "loss": 1.7241, + "step": 172 + }, + { + "epoch": 0.23, + "learning_rate": 1.98924757843251e-05, + "loss": 1.6838, + "step": 173 + }, + { + "epoch": 0.23, + "learning_rate": 1.9890401873221642e-05, + "loss": 1.5703, + "step": 174 + }, + { + "epoch": 0.23, + "learning_rate": 1.9888308262251286e-05, + "loss": 1.6669, + "step": 175 + }, + { + "epoch": 0.23, + "learning_rate": 1.9886194955584126e-05, + "loss": 1.682, + "step": 176 + }, + { + "epoch": 0.23, + "learning_rate": 1.988406195742948e-05, + "loss": 1.7266, + "step": 177 + }, + { + "epoch": 0.23, + "learning_rate": 1.9881909272035888e-05, + "loss": 1.7065, + "step": 178 + }, + { + "epoch": 0.23, + "learning_rate": 1.9879736903691107e-05, + "loss": 1.6784, + "step": 179 + }, + { + "epoch": 0.24, + "learning_rate": 1.9877544856722094e-05, + "loss": 1.8589, + "step": 180 + }, + { + "epoch": 0.24, + "learning_rate": 1.9875333135495e-05, + "loss": 1.7492, + "step": 181 + }, + { + "epoch": 0.24, + "learning_rate": 1.987310174441518e-05, + "loss": 1.6953, + "step": 182 + }, + { + "epoch": 0.24, + "learning_rate": 1.987085068792715e-05, + "loss": 1.6772, + "step": 183 + }, + { + "epoch": 0.24, + "learning_rate": 1.98685799705146e-05, + "loss": 1.6507, + "step": 184 + }, + { + "epoch": 0.24, + "learning_rate": 1.9866289596700383e-05, + "loss": 1.6677, + "step": 185 + }, + { + "epoch": 0.24, + "learning_rate": 1.98639795710465e-05, + "loss": 1.5531, + "step": 186 + }, + { + "epoch": 0.24, + "learning_rate": 1.9861649898154107e-05, + "loss": 1.692, + "step": 187 + }, + { + "epoch": 0.25, + "learning_rate": 1.985930058266348e-05, + "loss": 1.5314, + "step": 188 + }, + { + "epoch": 0.25, + "learning_rate": 1.9856931629254032e-05, + "loss": 1.5806, + "step": 189 + }, + { + "epoch": 0.25, + "learning_rate": 1.985454304264427e-05, + "loss": 1.6998, + "step": 190 + }, + { + "epoch": 0.25, + "learning_rate": 1.985213482759183e-05, + "loss": 1.532, + "step": 191 + }, + { + "epoch": 0.25, + "learning_rate": 1.9849706988893433e-05, + "loss": 1.4833, + "step": 192 + }, + { + "epoch": 0.25, + "learning_rate": 1.984725953138489e-05, + "loss": 1.6384, + "step": 193 + }, + { + "epoch": 0.25, + "learning_rate": 1.984479245994108e-05, + "loss": 1.602, + "step": 194 + }, + { + "epoch": 0.25, + "learning_rate": 1.984230577947597e-05, + "loss": 1.6837, + "step": 195 + }, + { + "epoch": 0.26, + "learning_rate": 1.983979949494256e-05, + "loss": 1.6221, + "step": 196 + }, + { + "epoch": 0.26, + "learning_rate": 1.9837273611332918e-05, + "loss": 1.5824, + "step": 197 + }, + { + "epoch": 0.26, + "learning_rate": 1.983472813367813e-05, + "loss": 1.5726, + "step": 198 + }, + { + "epoch": 0.26, + "learning_rate": 1.9832163067048335e-05, + "loss": 1.8058, + "step": 199 + }, + { + "epoch": 0.26, + "learning_rate": 1.982957841655266e-05, + "loss": 1.6665, + "step": 200 + }, + { + "epoch": 0.26, + "learning_rate": 1.9826974187339267e-05, + "loss": 1.6163, + "step": 201 + }, + { + "epoch": 0.26, + "learning_rate": 1.9824350384595295e-05, + "loss": 1.6621, + "step": 202 + }, + { + "epoch": 0.27, + "learning_rate": 1.9821707013546885e-05, + "loss": 1.6097, + "step": 203 + }, + { + "epoch": 0.27, + "learning_rate": 1.9819044079459142e-05, + "loss": 1.6398, + "step": 204 + }, + { + "epoch": 0.27, + "learning_rate": 1.9816361587636143e-05, + "loss": 1.5231, + "step": 205 + }, + { + "epoch": 0.27, + "learning_rate": 1.9813659543420924e-05, + "loss": 1.5495, + "step": 206 + }, + { + "epoch": 0.27, + "learning_rate": 1.981093795219546e-05, + "loss": 1.6761, + "step": 207 + }, + { + "epoch": 0.27, + "learning_rate": 1.9808196819380656e-05, + "loss": 1.5347, + "step": 208 + }, + { + "epoch": 0.27, + "learning_rate": 1.9805436150436352e-05, + "loss": 1.5175, + "step": 209 + }, + { + "epoch": 0.27, + "learning_rate": 1.980265595086129e-05, + "loss": 1.6109, + "step": 210 + }, + { + "epoch": 0.28, + "learning_rate": 1.9799856226193125e-05, + "loss": 1.5862, + "step": 211 + }, + { + "epoch": 0.28, + "learning_rate": 1.9797036982008385e-05, + "loss": 1.6155, + "step": 212 + }, + { + "epoch": 0.28, + "learning_rate": 1.9794198223922496e-05, + "loss": 1.6225, + "step": 213 + }, + { + "epoch": 0.28, + "learning_rate": 1.979133995758974e-05, + "loss": 1.7578, + "step": 214 + }, + { + "epoch": 0.28, + "learning_rate": 1.978846218870326e-05, + "loss": 1.6944, + "step": 215 + }, + { + "epoch": 0.28, + "learning_rate": 1.9785564922995042e-05, + "loss": 1.5978, + "step": 216 + }, + { + "epoch": 0.28, + "learning_rate": 1.978264816623591e-05, + "loss": 1.4836, + "step": 217 + }, + { + "epoch": 0.28, + "learning_rate": 1.977971192423551e-05, + "loss": 1.7529, + "step": 218 + }, + { + "epoch": 0.29, + "learning_rate": 1.9776756202842297e-05, + "loss": 1.5821, + "step": 219 + }, + { + "epoch": 0.29, + "learning_rate": 1.977378100794352e-05, + "loss": 1.5954, + "step": 220 + }, + { + "epoch": 0.29, + "learning_rate": 1.977078634546523e-05, + "loss": 1.5528, + "step": 221 + }, + { + "epoch": 0.29, + "learning_rate": 1.976777222137224e-05, + "loss": 1.7068, + "step": 222 + }, + { + "epoch": 0.29, + "learning_rate": 1.9764738641668137e-05, + "loss": 1.6066, + "step": 223 + }, + { + "epoch": 0.29, + "learning_rate": 1.9761685612395253e-05, + "loss": 1.639, + "step": 224 + }, + { + "epoch": 0.29, + "learning_rate": 1.9758613139634662e-05, + "loss": 1.5999, + "step": 225 + }, + { + "epoch": 0.3, + "learning_rate": 1.9755521229506164e-05, + "loss": 1.6008, + "step": 226 + }, + { + "epoch": 0.3, + "learning_rate": 1.9752409888168285e-05, + "loss": 1.7106, + "step": 227 + }, + { + "epoch": 0.3, + "learning_rate": 1.9749279121818235e-05, + "loss": 1.6942, + "step": 228 + }, + { + "epoch": 0.3, + "learning_rate": 1.974612893669194e-05, + "loss": 1.7407, + "step": 229 + }, + { + "epoch": 0.3, + "learning_rate": 1.9742959339063977e-05, + "loss": 1.6449, + "step": 230 + }, + { + "epoch": 0.3, + "learning_rate": 1.9739770335247616e-05, + "loss": 1.5437, + "step": 231 + }, + { + "epoch": 0.3, + "learning_rate": 1.973656193159476e-05, + "loss": 1.5952, + "step": 232 + }, + { + "epoch": 0.3, + "learning_rate": 1.9733334134495963e-05, + "loss": 1.7003, + "step": 233 + }, + { + "epoch": 0.31, + "learning_rate": 1.9730086950380404e-05, + "loss": 1.5441, + "step": 234 + }, + { + "epoch": 0.31, + "learning_rate": 1.9726820385715877e-05, + "loss": 1.5202, + "step": 235 + }, + { + "epoch": 0.31, + "learning_rate": 1.9723534447008785e-05, + "loss": 1.6691, + "step": 236 + }, + { + "epoch": 0.31, + "learning_rate": 1.972022914080411e-05, + "loss": 1.6877, + "step": 237 + }, + { + "epoch": 0.31, + "learning_rate": 1.9716904473685417e-05, + "loss": 1.5395, + "step": 238 + }, + { + "epoch": 0.31, + "learning_rate": 1.971356045227484e-05, + "loss": 1.6574, + "step": 239 + }, + { + "epoch": 0.31, + "learning_rate": 1.9710197083233044e-05, + "loss": 1.5122, + "step": 240 + }, + { + "epoch": 0.31, + "learning_rate": 1.970681437325925e-05, + "loss": 1.4915, + "step": 241 + }, + { + "epoch": 0.32, + "learning_rate": 1.97034123290912e-05, + "loss": 1.5517, + "step": 242 + }, + { + "epoch": 0.32, + "learning_rate": 1.9699990957505136e-05, + "loss": 1.7456, + "step": 243 + }, + { + "epoch": 0.32, + "learning_rate": 1.9696550265315805e-05, + "loss": 1.4699, + "step": 244 + }, + { + "epoch": 0.32, + "learning_rate": 1.9693090259376436e-05, + "loss": 1.5823, + "step": 245 + }, + { + "epoch": 0.32, + "learning_rate": 1.9689610946578725e-05, + "loss": 1.7989, + "step": 246 + }, + { + "epoch": 0.32, + "learning_rate": 1.9686112333852826e-05, + "loss": 1.4173, + "step": 247 + }, + { + "epoch": 0.32, + "learning_rate": 1.968259442816733e-05, + "loss": 1.605, + "step": 248 + }, + { + "epoch": 0.33, + "learning_rate": 1.9679057236529266e-05, + "loss": 1.6035, + "step": 249 + }, + { + "epoch": 0.33, + "learning_rate": 1.9675500765984066e-05, + "loss": 1.5451, + "step": 250 + }, + { + "epoch": 0.33, + "learning_rate": 1.9671925023615572e-05, + "loss": 1.8563, + "step": 251 + }, + { + "epoch": 0.33, + "learning_rate": 1.9668330016546004e-05, + "loss": 1.464, + "step": 252 + }, + { + "epoch": 0.33, + "learning_rate": 1.9664715751935958e-05, + "loss": 1.5198, + "step": 253 + }, + { + "epoch": 0.33, + "learning_rate": 1.9661082236984387e-05, + "loss": 1.4562, + "step": 254 + }, + { + "epoch": 0.33, + "learning_rate": 1.965742947892858e-05, + "loss": 1.6719, + "step": 255 + }, + { + "epoch": 0.33, + "learning_rate": 1.965375748504417e-05, + "loss": 1.629, + "step": 256 + }, + { + "epoch": 0.34, + "learning_rate": 1.9650066262645097e-05, + "loss": 1.5683, + "step": 257 + }, + { + "epoch": 0.34, + "learning_rate": 1.964635581908359e-05, + "loss": 1.6081, + "step": 258 + }, + { + "epoch": 0.34, + "learning_rate": 1.9642626161750176e-05, + "loss": 1.5387, + "step": 259 + }, + { + "epoch": 0.34, + "learning_rate": 1.9638877298073645e-05, + "loss": 1.5545, + "step": 260 + }, + { + "epoch": 0.34, + "learning_rate": 1.9635109235521057e-05, + "loss": 1.5341, + "step": 261 + }, + { + "epoch": 0.34, + "learning_rate": 1.963132198159769e-05, + "loss": 1.5831, + "step": 262 + }, + { + "epoch": 0.34, + "learning_rate": 1.9627515543847068e-05, + "loss": 1.6099, + "step": 263 + }, + { + "epoch": 0.35, + "learning_rate": 1.962368992985091e-05, + "loss": 1.5442, + "step": 264 + }, + { + "epoch": 0.35, + "learning_rate": 1.961984514722914e-05, + "loss": 1.6946, + "step": 265 + }, + { + "epoch": 0.35, + "learning_rate": 1.961598120363986e-05, + "loss": 1.6732, + "step": 266 + }, + { + "epoch": 0.35, + "learning_rate": 1.961209810677934e-05, + "loss": 1.6603, + "step": 267 + }, + { + "epoch": 0.35, + "learning_rate": 1.9608195864381994e-05, + "loss": 1.4686, + "step": 268 + }, + { + "epoch": 0.35, + "learning_rate": 1.960427448422037e-05, + "loss": 1.7164, + "step": 269 + }, + { + "epoch": 0.35, + "learning_rate": 1.9600333974105145e-05, + "loss": 1.6552, + "step": 270 + }, + { + "epoch": 0.35, + "learning_rate": 1.9596374341885093e-05, + "loss": 1.4366, + "step": 271 + }, + { + "epoch": 0.36, + "learning_rate": 1.9592395595447064e-05, + "loss": 1.6662, + "step": 272 + }, + { + "epoch": 0.36, + "learning_rate": 1.9588397742716004e-05, + "loss": 1.6731, + "step": 273 + }, + { + "epoch": 0.36, + "learning_rate": 1.9584380791654896e-05, + "loss": 1.4749, + "step": 274 + }, + { + "epoch": 0.36, + "learning_rate": 1.958034475026477e-05, + "loss": 1.5257, + "step": 275 + }, + { + "epoch": 0.36, + "learning_rate": 1.9576289626584685e-05, + "loss": 1.5007, + "step": 276 + }, + { + "epoch": 0.36, + "learning_rate": 1.95722154286917e-05, + "loss": 1.5079, + "step": 277 + }, + { + "epoch": 0.36, + "learning_rate": 1.9568122164700867e-05, + "loss": 1.5105, + "step": 278 + }, + { + "epoch": 0.36, + "learning_rate": 1.9564009842765225e-05, + "loss": 1.5288, + "step": 279 + }, + { + "epoch": 0.37, + "learning_rate": 1.9559878471075763e-05, + "loss": 1.4527, + "step": 280 + }, + { + "epoch": 0.37, + "learning_rate": 1.955572805786141e-05, + "loss": 1.5178, + "step": 281 + }, + { + "epoch": 0.37, + "learning_rate": 1.955155861138903e-05, + "loss": 1.5058, + "step": 282 + }, + { + "epoch": 0.37, + "learning_rate": 1.9547370139963406e-05, + "loss": 1.4538, + "step": 283 + }, + { + "epoch": 0.37, + "learning_rate": 1.954316265192719e-05, + "loss": 1.6261, + "step": 284 + }, + { + "epoch": 0.37, + "learning_rate": 1.9538936155660934e-05, + "loss": 1.578, + "step": 285 + }, + { + "epoch": 0.37, + "learning_rate": 1.9534690659583045e-05, + "loss": 1.4569, + "step": 286 + }, + { + "epoch": 0.38, + "learning_rate": 1.953042617214977e-05, + "loss": 1.5795, + "step": 287 + }, + { + "epoch": 0.38, + "learning_rate": 1.9526142701855187e-05, + "loss": 1.625, + "step": 288 + }, + { + "epoch": 0.38, + "learning_rate": 1.9521840257231183e-05, + "loss": 1.6226, + "step": 289 + }, + { + "epoch": 0.38, + "learning_rate": 1.9517518846847437e-05, + "loss": 1.5874, + "step": 290 + }, + { + "epoch": 0.38, + "learning_rate": 1.951317847931141e-05, + "loss": 1.5774, + "step": 291 + }, + { + "epoch": 0.38, + "learning_rate": 1.9508819163268315e-05, + "loss": 1.525, + "step": 292 + }, + { + "epoch": 0.38, + "learning_rate": 1.9504440907401113e-05, + "loss": 1.6432, + "step": 293 + }, + { + "epoch": 0.38, + "learning_rate": 1.9500043720430484e-05, + "loss": 1.6038, + "step": 294 + }, + { + "epoch": 0.39, + "learning_rate": 1.9495627611114817e-05, + "loss": 1.6018, + "step": 295 + }, + { + "epoch": 0.39, + "learning_rate": 1.9491192588250198e-05, + "loss": 1.5559, + "step": 296 + }, + { + "epoch": 0.39, + "learning_rate": 1.9486738660670373e-05, + "loss": 1.6093, + "step": 297 + }, + { + "epoch": 0.39, + "learning_rate": 1.948226583724675e-05, + "loss": 1.4772, + "step": 298 + }, + { + "epoch": 0.39, + "learning_rate": 1.947777412688838e-05, + "loss": 1.6215, + "step": 299 + }, + { + "epoch": 0.39, + "learning_rate": 1.9473263538541916e-05, + "loss": 1.6031, + "step": 300 + }, + { + "epoch": 0.39, + "learning_rate": 1.9468734081191627e-05, + "loss": 1.6468, + "step": 301 + }, + { + "epoch": 0.39, + "learning_rate": 1.9464185763859365e-05, + "loss": 1.5391, + "step": 302 + }, + { + "epoch": 0.4, + "learning_rate": 1.945961859560454e-05, + "loss": 1.5916, + "step": 303 + }, + { + "epoch": 0.4, + "learning_rate": 1.9455032585524115e-05, + "loss": 1.5238, + "step": 304 + }, + { + "epoch": 0.4, + "learning_rate": 1.9450427742752583e-05, + "loss": 1.5679, + "step": 305 + }, + { + "epoch": 0.4, + "learning_rate": 1.9445804076461946e-05, + "loss": 1.4694, + "step": 306 + }, + { + "epoch": 0.4, + "learning_rate": 1.944116159586169e-05, + "loss": 1.7224, + "step": 307 + }, + { + "epoch": 0.4, + "learning_rate": 1.94365003101988e-05, + "loss": 1.5224, + "step": 308 + }, + { + "epoch": 0.4, + "learning_rate": 1.943182022875769e-05, + "loss": 1.4027, + "step": 309 + }, + { + "epoch": 0.41, + "learning_rate": 1.9427121360860233e-05, + "loss": 1.6428, + "step": 310 + }, + { + "epoch": 0.41, + "learning_rate": 1.9422403715865708e-05, + "loss": 1.5872, + "step": 311 + }, + { + "epoch": 0.41, + "learning_rate": 1.9417667303170803e-05, + "loss": 1.5616, + "step": 312 + }, + { + "epoch": 0.41, + "learning_rate": 1.9412912132209573e-05, + "loss": 1.7097, + "step": 313 + }, + { + "epoch": 0.41, + "learning_rate": 1.9408138212453456e-05, + "loss": 1.5574, + "step": 314 + }, + { + "epoch": 0.41, + "learning_rate": 1.940334555341122e-05, + "loss": 1.6133, + "step": 315 + }, + { + "epoch": 0.41, + "learning_rate": 1.9398534164628968e-05, + "loss": 1.5629, + "step": 316 + }, + { + "epoch": 0.41, + "learning_rate": 1.93937040556901e-05, + "loss": 1.4919, + "step": 317 + }, + { + "epoch": 0.42, + "learning_rate": 1.938885523621531e-05, + "loss": 1.4721, + "step": 318 + }, + { + "epoch": 0.42, + "learning_rate": 1.9383987715862554e-05, + "loss": 1.7848, + "step": 319 + }, + { + "epoch": 0.42, + "learning_rate": 1.9379101504327044e-05, + "loss": 1.5623, + "step": 320 + }, + { + "epoch": 0.42, + "learning_rate": 1.9374196611341212e-05, + "loss": 1.6131, + "step": 321 + }, + { + "epoch": 0.42, + "learning_rate": 1.9369273046674708e-05, + "loss": 1.6132, + "step": 322 + }, + { + "epoch": 0.42, + "learning_rate": 1.936433082013437e-05, + "loss": 1.5333, + "step": 323 + }, + { + "epoch": 0.42, + "learning_rate": 1.935936994156421e-05, + "loss": 1.554, + "step": 324 + }, + { + "epoch": 0.42, + "learning_rate": 1.9354390420845387e-05, + "loss": 1.5865, + "step": 325 + }, + { + "epoch": 0.43, + "learning_rate": 1.934939226789619e-05, + "loss": 1.5857, + "step": 326 + }, + { + "epoch": 0.43, + "learning_rate": 1.9344375492672024e-05, + "loss": 1.5555, + "step": 327 + }, + { + "epoch": 0.43, + "learning_rate": 1.933934010516539e-05, + "loss": 1.5558, + "step": 328 + }, + { + "epoch": 0.43, + "learning_rate": 1.933428611540585e-05, + "loss": 1.6296, + "step": 329 + }, + { + "epoch": 0.43, + "learning_rate": 1.932921353346003e-05, + "loss": 1.5004, + "step": 330 + }, + { + "epoch": 0.43, + "learning_rate": 1.932412236943158e-05, + "loss": 1.6247, + "step": 331 + }, + { + "epoch": 0.43, + "learning_rate": 1.9319012633461164e-05, + "loss": 1.6277, + "step": 332 + }, + { + "epoch": 0.44, + "learning_rate": 1.9313884335726443e-05, + "loss": 1.7737, + "step": 333 + }, + { + "epoch": 0.44, + "learning_rate": 1.9308737486442045e-05, + "loss": 1.5115, + "step": 334 + }, + { + "epoch": 0.44, + "learning_rate": 1.9303572095859545e-05, + "loss": 1.5231, + "step": 335 + }, + { + "epoch": 0.44, + "learning_rate": 1.9298388174267463e-05, + "loss": 1.5685, + "step": 336 + }, + { + "epoch": 0.44, + "learning_rate": 1.9293185731991212e-05, + "loss": 1.4307, + "step": 337 + }, + { + "epoch": 0.44, + "learning_rate": 1.9287964779393105e-05, + "loss": 1.6424, + "step": 338 + }, + { + "epoch": 0.44, + "learning_rate": 1.9282725326872324e-05, + "loss": 1.5317, + "step": 339 + }, + { + "epoch": 0.44, + "learning_rate": 1.92774673848649e-05, + "loss": 1.5713, + "step": 340 + }, + { + "epoch": 0.45, + "learning_rate": 1.927219096384368e-05, + "loss": 1.4465, + "step": 341 + }, + { + "epoch": 0.45, + "learning_rate": 1.9266896074318335e-05, + "loss": 1.4761, + "step": 342 + }, + { + "epoch": 0.45, + "learning_rate": 1.9261582726835316e-05, + "loss": 1.6569, + "step": 343 + }, + { + "epoch": 0.45, + "learning_rate": 1.925625093197783e-05, + "loss": 1.588, + "step": 344 + }, + { + "epoch": 0.45, + "learning_rate": 1.9250900700365837e-05, + "loss": 1.6713, + "step": 345 + }, + { + "epoch": 0.45, + "learning_rate": 1.924553204265602e-05, + "loss": 1.6163, + "step": 346 + }, + { + "epoch": 0.45, + "learning_rate": 1.9240144969541754e-05, + "loss": 1.5906, + "step": 347 + }, + { + "epoch": 0.45, + "learning_rate": 1.923473949175311e-05, + "loss": 1.561, + "step": 348 + }, + { + "epoch": 0.46, + "learning_rate": 1.9229315620056805e-05, + "loss": 1.4219, + "step": 349 + }, + { + "epoch": 0.46, + "learning_rate": 1.9223873365256192e-05, + "loss": 1.5169, + "step": 350 + }, + { + "epoch": 0.46, + "learning_rate": 1.921841273819125e-05, + "loss": 1.6726, + "step": 351 + }, + { + "epoch": 0.46, + "learning_rate": 1.9212933749738546e-05, + "loss": 1.4714, + "step": 352 + }, + { + "epoch": 0.46, + "learning_rate": 1.920743641081122e-05, + "loss": 1.5211, + "step": 353 + }, + { + "epoch": 0.46, + "learning_rate": 1.920192073235896e-05, + "loss": 1.6119, + "step": 354 + }, + { + "epoch": 0.46, + "learning_rate": 1.919638672536799e-05, + "loss": 1.5366, + "step": 355 + }, + { + "epoch": 0.47, + "learning_rate": 1.9190834400861035e-05, + "loss": 1.4784, + "step": 356 + }, + { + "epoch": 0.47, + "learning_rate": 1.918526376989731e-05, + "loss": 1.5361, + "step": 357 + }, + { + "epoch": 0.47, + "learning_rate": 1.9179674843572487e-05, + "loss": 1.734, + "step": 358 + }, + { + "epoch": 0.47, + "learning_rate": 1.9174067633018682e-05, + "loss": 1.5957, + "step": 359 + }, + { + "epoch": 0.47, + "learning_rate": 1.9168442149404438e-05, + "loss": 1.5167, + "step": 360 + }, + { + "epoch": 0.47, + "learning_rate": 1.916279840393467e-05, + "loss": 1.4856, + "step": 361 + }, + { + "epoch": 0.47, + "learning_rate": 1.9157136407850706e-05, + "loss": 1.5079, + "step": 362 + }, + { + "epoch": 0.47, + "learning_rate": 1.9151456172430186e-05, + "loss": 1.6342, + "step": 363 + }, + { + "epoch": 0.48, + "learning_rate": 1.9145757708987103e-05, + "loss": 1.6238, + "step": 364 + }, + { + "epoch": 0.48, + "learning_rate": 1.914004102887176e-05, + "loss": 1.602, + "step": 365 + }, + { + "epoch": 0.48, + "learning_rate": 1.9134306143470722e-05, + "loss": 1.6316, + "step": 366 + }, + { + "epoch": 0.48, + "learning_rate": 1.9128553064206835e-05, + "loss": 1.3469, + "step": 367 + }, + { + "epoch": 0.48, + "learning_rate": 1.912278180253918e-05, + "loss": 1.5529, + "step": 368 + }, + { + "epoch": 0.48, + "learning_rate": 1.911699236996305e-05, + "loss": 1.4857, + "step": 369 + }, + { + "epoch": 0.48, + "learning_rate": 1.9111184778009934e-05, + "loss": 1.5868, + "step": 370 + }, + { + "epoch": 0.48, + "learning_rate": 1.9105359038247484e-05, + "loss": 1.5045, + "step": 371 + }, + { + "epoch": 0.49, + "learning_rate": 1.9099515162279515e-05, + "loss": 1.6578, + "step": 372 + }, + { + "epoch": 0.49, + "learning_rate": 1.909365316174595e-05, + "loss": 1.4851, + "step": 373 + }, + { + "epoch": 0.49, + "learning_rate": 1.908777304832282e-05, + "loss": 1.4573, + "step": 374 + }, + { + "epoch": 0.49, + "learning_rate": 1.9081874833722234e-05, + "loss": 1.5313, + "step": 375 + }, + { + "epoch": 0.49, + "learning_rate": 1.9075958529692355e-05, + "loss": 1.4284, + "step": 376 + }, + { + "epoch": 0.49, + "learning_rate": 1.9070024148017375e-05, + "loss": 1.3889, + "step": 377 + }, + { + "epoch": 0.49, + "learning_rate": 1.906407170051749e-05, + "loss": 1.5237, + "step": 378 + }, + { + "epoch": 0.5, + "learning_rate": 1.905810119904889e-05, + "loss": 1.5036, + "step": 379 + }, + { + "epoch": 0.5, + "learning_rate": 1.9052112655503713e-05, + "loss": 1.6423, + "step": 380 + }, + { + "epoch": 0.5, + "learning_rate": 1.9046106081810047e-05, + "loss": 1.5939, + "step": 381 + }, + { + "epoch": 0.5, + "learning_rate": 1.904008148993188e-05, + "loss": 1.643, + "step": 382 + }, + { + "epoch": 0.5, + "learning_rate": 1.903403889186909e-05, + "loss": 1.5539, + "step": 383 + }, + { + "epoch": 0.5, + "learning_rate": 1.9027978299657436e-05, + "loss": 1.5466, + "step": 384 + }, + { + "epoch": 0.5, + "learning_rate": 1.9021899725368498e-05, + "loss": 1.4804, + "step": 385 + }, + { + "epoch": 0.5, + "learning_rate": 1.9015803181109685e-05, + "loss": 1.6738, + "step": 386 + }, + { + "epoch": 0.51, + "learning_rate": 1.900968867902419e-05, + "loss": 1.6189, + "step": 387 + }, + { + "epoch": 0.51, + "learning_rate": 1.9003556231290988e-05, + "loss": 1.3754, + "step": 388 + }, + { + "epoch": 0.51, + "learning_rate": 1.8997405850124786e-05, + "loss": 1.4995, + "step": 389 + }, + { + "epoch": 0.51, + "learning_rate": 1.8991237547776014e-05, + "loss": 1.7472, + "step": 390 + }, + { + "epoch": 0.51, + "learning_rate": 1.89850513365308e-05, + "loss": 1.5819, + "step": 391 + }, + { + "epoch": 0.51, + "learning_rate": 1.897884722871094e-05, + "loss": 1.4441, + "step": 392 + }, + { + "epoch": 0.51, + "learning_rate": 1.8972625236673887e-05, + "loss": 1.4998, + "step": 393 + }, + { + "epoch": 0.51, + "learning_rate": 1.8966385372812703e-05, + "loss": 1.7693, + "step": 394 + }, + { + "epoch": 0.52, + "learning_rate": 1.896012764955605e-05, + "loss": 1.5972, + "step": 395 + }, + { + "epoch": 0.52, + "learning_rate": 1.895385207936817e-05, + "loss": 1.4894, + "step": 396 + }, + { + "epoch": 0.52, + "learning_rate": 1.8947558674748844e-05, + "loss": 1.6153, + "step": 397 + }, + { + "epoch": 0.52, + "learning_rate": 1.8941247448233386e-05, + "loss": 1.5506, + "step": 398 + }, + { + "epoch": 0.52, + "learning_rate": 1.8934918412392596e-05, + "loss": 1.4783, + "step": 399 + }, + { + "epoch": 0.52, + "learning_rate": 1.8928571579832756e-05, + "loss": 1.6733, + "step": 400 + }, + { + "epoch": 0.52, + "learning_rate": 1.892220696319559e-05, + "loss": 1.4514, + "step": 401 + }, + { + "epoch": 0.53, + "learning_rate": 1.891582457515825e-05, + "loss": 1.6588, + "step": 402 + }, + { + "epoch": 0.53, + "learning_rate": 1.8909424428433278e-05, + "loss": 1.5374, + "step": 403 + }, + { + "epoch": 0.53, + "learning_rate": 1.89030065357686e-05, + "loss": 1.5054, + "step": 404 + }, + { + "epoch": 0.53, + "learning_rate": 1.8896570909947477e-05, + "loss": 1.5964, + "step": 405 + }, + { + "epoch": 0.53, + "learning_rate": 1.889011756378849e-05, + "loss": 1.5827, + "step": 406 + }, + { + "epoch": 0.53, + "learning_rate": 1.888364651014553e-05, + "loss": 1.4867, + "step": 407 + }, + { + "epoch": 0.53, + "learning_rate": 1.887715776190775e-05, + "loss": 1.5016, + "step": 408 + }, + { + "epoch": 0.53, + "learning_rate": 1.8870651331999542e-05, + "loss": 1.6249, + "step": 409 + }, + { + "epoch": 0.54, + "learning_rate": 1.886412723338052e-05, + "loss": 1.6036, + "step": 410 + }, + { + "epoch": 0.54, + "learning_rate": 1.8857585479045493e-05, + "loss": 1.6172, + "step": 411 + }, + { + "epoch": 0.54, + "learning_rate": 1.885102608202444e-05, + "loss": 1.5305, + "step": 412 + }, + { + "epoch": 0.54, + "learning_rate": 1.8844449055382473e-05, + "loss": 1.5793, + "step": 413 + }, + { + "epoch": 0.54, + "learning_rate": 1.8837854412219828e-05, + "loss": 1.6235, + "step": 414 + }, + { + "epoch": 0.54, + "learning_rate": 1.8831242165671816e-05, + "loss": 1.6813, + "step": 415 + }, + { + "epoch": 0.54, + "learning_rate": 1.8824612328908828e-05, + "loss": 1.553, + "step": 416 + }, + { + "epoch": 0.55, + "learning_rate": 1.8817964915136277e-05, + "loss": 1.5233, + "step": 417 + }, + { + "epoch": 0.55, + "learning_rate": 1.8811299937594598e-05, + "loss": 1.5602, + "step": 418 + }, + { + "epoch": 0.55, + "learning_rate": 1.88046174095592e-05, + "loss": 1.6497, + "step": 419 + }, + { + "epoch": 0.55, + "learning_rate": 1.8797917344340453e-05, + "loss": 1.5556, + "step": 420 + }, + { + "epoch": 0.55, + "learning_rate": 1.8791199755283664e-05, + "loss": 1.4972, + "step": 421 + }, + { + "epoch": 0.55, + "learning_rate": 1.8784464655769033e-05, + "loss": 1.4895, + "step": 422 + }, + { + "epoch": 0.55, + "learning_rate": 1.8777712059211643e-05, + "loss": 1.4853, + "step": 423 + }, + { + "epoch": 0.55, + "learning_rate": 1.8770941979061432e-05, + "loss": 1.5, + "step": 424 + }, + { + "epoch": 0.56, + "learning_rate": 1.8764154428803155e-05, + "loss": 1.5266, + "step": 425 + }, + { + "epoch": 0.56, + "learning_rate": 1.875734942195637e-05, + "loss": 1.6001, + "step": 426 + }, + { + "epoch": 0.56, + "learning_rate": 1.87505269720754e-05, + "loss": 1.6224, + "step": 427 + }, + { + "epoch": 0.56, + "learning_rate": 1.8743687092749318e-05, + "loss": 1.8942, + "step": 428 + }, + { + "epoch": 0.56, + "learning_rate": 1.8736829797601903e-05, + "loss": 1.597, + "step": 429 + }, + { + "epoch": 0.56, + "learning_rate": 1.8729955100291634e-05, + "loss": 1.4492, + "step": 430 + }, + { + "epoch": 0.56, + "learning_rate": 1.872306301451165e-05, + "loss": 1.553, + "step": 431 + }, + { + "epoch": 0.56, + "learning_rate": 1.8716153553989716e-05, + "loss": 1.6568, + "step": 432 + }, + { + "epoch": 0.57, + "learning_rate": 1.8709226732488216e-05, + "loss": 1.6419, + "step": 433 + }, + { + "epoch": 0.57, + "learning_rate": 1.87022825638041e-05, + "loss": 1.4201, + "step": 434 + }, + { + "epoch": 0.57, + "learning_rate": 1.8695321061768886e-05, + "loss": 1.5144, + "step": 435 + }, + { + "epoch": 0.57, + "learning_rate": 1.868834224024861e-05, + "loss": 1.6008, + "step": 436 + }, + { + "epoch": 0.57, + "learning_rate": 1.86813461131438e-05, + "loss": 1.5232, + "step": 437 + }, + { + "epoch": 0.57, + "learning_rate": 1.8674332694389464e-05, + "loss": 1.5325, + "step": 438 + }, + { + "epoch": 0.57, + "learning_rate": 1.8667301997955038e-05, + "loss": 1.5205, + "step": 439 + }, + { + "epoch": 0.58, + "learning_rate": 1.866025403784439e-05, + "loss": 1.5523, + "step": 440 + }, + { + "epoch": 0.58, + "learning_rate": 1.8653188828095754e-05, + "loss": 1.6117, + "step": 441 + }, + { + "epoch": 0.58, + "learning_rate": 1.8646106382781738e-05, + "loss": 1.5324, + "step": 442 + }, + { + "epoch": 0.58, + "learning_rate": 1.8639006716009275e-05, + "loss": 1.5437, + "step": 443 + }, + { + "epoch": 0.58, + "learning_rate": 1.8631889841919596e-05, + "loss": 1.646, + "step": 444 + }, + { + "epoch": 0.58, + "learning_rate": 1.862475577468821e-05, + "loss": 1.4662, + "step": 445 + }, + { + "epoch": 0.58, + "learning_rate": 1.8617604528524876e-05, + "loss": 1.6842, + "step": 446 + }, + { + "epoch": 0.58, + "learning_rate": 1.8610436117673557e-05, + "loss": 1.6015, + "step": 447 + }, + { + "epoch": 0.59, + "learning_rate": 1.8603250556412418e-05, + "loss": 1.4642, + "step": 448 + }, + { + "epoch": 0.59, + "learning_rate": 1.8596047859053776e-05, + "loss": 1.5905, + "step": 449 + }, + { + "epoch": 0.59, + "learning_rate": 1.8588828039944086e-05, + "loss": 1.3811, + "step": 450 + }, + { + "epoch": 0.59, + "learning_rate": 1.8581591113463903e-05, + "loss": 1.477, + "step": 451 + }, + { + "epoch": 0.59, + "learning_rate": 1.8574337094027858e-05, + "loss": 1.5653, + "step": 452 + }, + { + "epoch": 0.59, + "learning_rate": 1.8567065996084628e-05, + "loss": 1.6238, + "step": 453 + }, + { + "epoch": 0.59, + "learning_rate": 1.8559777834116906e-05, + "loss": 1.5427, + "step": 454 + }, + { + "epoch": 0.59, + "learning_rate": 1.8552472622641372e-05, + "loss": 1.478, + "step": 455 + }, + { + "epoch": 0.6, + "learning_rate": 1.854515037620867e-05, + "loss": 1.4926, + "step": 456 + }, + { + "epoch": 0.6, + "learning_rate": 1.8537811109403372e-05, + "loss": 1.5102, + "step": 457 + }, + { + "epoch": 0.6, + "learning_rate": 1.8530454836843953e-05, + "loss": 1.5598, + "step": 458 + }, + { + "epoch": 0.6, + "learning_rate": 1.8523081573182754e-05, + "loss": 1.6468, + "step": 459 + }, + { + "epoch": 0.6, + "learning_rate": 1.851569133310597e-05, + "loss": 1.5438, + "step": 460 + }, + { + "epoch": 0.6, + "learning_rate": 1.8508284131333604e-05, + "loss": 1.4735, + "step": 461 + }, + { + "epoch": 0.6, + "learning_rate": 1.8500859982619438e-05, + "loss": 1.4544, + "step": 462 + }, + { + "epoch": 0.61, + "learning_rate": 1.8493418901751016e-05, + "loss": 1.5896, + "step": 463 + }, + { + "epoch": 0.61, + "learning_rate": 1.8485960903549614e-05, + "loss": 1.5448, + "step": 464 + }, + { + "epoch": 0.61, + "learning_rate": 1.847848600287019e-05, + "loss": 1.48, + "step": 465 + }, + { + "epoch": 0.61, + "learning_rate": 1.8470994214601378e-05, + "loss": 1.5051, + "step": 466 + }, + { + "epoch": 0.61, + "learning_rate": 1.846348555366544e-05, + "loss": 1.4919, + "step": 467 + }, + { + "epoch": 0.61, + "learning_rate": 1.845596003501826e-05, + "loss": 1.4351, + "step": 468 + }, + { + "epoch": 0.61, + "learning_rate": 1.8448417673649292e-05, + "loss": 1.5142, + "step": 469 + }, + { + "epoch": 0.61, + "learning_rate": 1.844085848458153e-05, + "loss": 1.5037, + "step": 470 + }, + { + "epoch": 0.62, + "learning_rate": 1.8433282482871497e-05, + "loss": 1.4373, + "step": 471 + }, + { + "epoch": 0.62, + "learning_rate": 1.8425689683609198e-05, + "loss": 1.3986, + "step": 472 + }, + { + "epoch": 0.62, + "learning_rate": 1.8418080101918095e-05, + "loss": 1.5879, + "step": 473 + }, + { + "epoch": 0.62, + "learning_rate": 1.841045375295508e-05, + "loss": 1.5525, + "step": 474 + }, + { + "epoch": 0.62, + "learning_rate": 1.8402810651910444e-05, + "loss": 1.4899, + "step": 475 + }, + { + "epoch": 0.62, + "learning_rate": 1.839515081400784e-05, + "loss": 1.5907, + "step": 476 + }, + { + "epoch": 0.62, + "learning_rate": 1.8387474254504265e-05, + "loss": 1.4677, + "step": 477 + }, + { + "epoch": 0.62, + "learning_rate": 1.8379780988690014e-05, + "loss": 1.451, + "step": 478 + }, + { + "epoch": 0.63, + "learning_rate": 1.837207103188866e-05, + "loss": 1.3821, + "step": 479 + }, + { + "epoch": 0.63, + "learning_rate": 1.8364344399457028e-05, + "loss": 1.5024, + "step": 480 + }, + { + "epoch": 0.63, + "learning_rate": 1.8356601106785148e-05, + "loss": 1.5263, + "step": 481 + }, + { + "epoch": 0.63, + "learning_rate": 1.8348841169296247e-05, + "loss": 1.5388, + "step": 482 + }, + { + "epoch": 0.63, + "learning_rate": 1.8341064602446686e-05, + "loss": 1.6173, + "step": 483 + }, + { + "epoch": 0.63, + "learning_rate": 1.8333271421725968e-05, + "loss": 1.5454, + "step": 484 + }, + { + "epoch": 0.63, + "learning_rate": 1.8325461642656676e-05, + "loss": 1.4468, + "step": 485 + }, + { + "epoch": 0.64, + "learning_rate": 1.8317635280794466e-05, + "loss": 1.3626, + "step": 486 + }, + { + "epoch": 0.64, + "learning_rate": 1.8309792351728006e-05, + "loss": 1.4551, + "step": 487 + }, + { + "epoch": 0.64, + "learning_rate": 1.8301932871078975e-05, + "loss": 1.3878, + "step": 488 + }, + { + "epoch": 0.64, + "learning_rate": 1.829405685450202e-05, + "loss": 1.525, + "step": 489 + }, + { + "epoch": 0.64, + "learning_rate": 1.828616431768472e-05, + "loss": 1.4175, + "step": 490 + }, + { + "epoch": 0.64, + "learning_rate": 1.8278255276347563e-05, + "loss": 1.5459, + "step": 491 + }, + { + "epoch": 0.64, + "learning_rate": 1.8270329746243903e-05, + "loss": 1.612, + "step": 492 + }, + { + "epoch": 0.64, + "learning_rate": 1.826238774315995e-05, + "loss": 1.4209, + "step": 493 + }, + { + "epoch": 0.65, + "learning_rate": 1.8254429282914715e-05, + "loss": 1.5253, + "step": 494 + }, + { + "epoch": 0.65, + "learning_rate": 1.824645438135999e-05, + "loss": 1.4988, + "step": 495 + }, + { + "epoch": 0.65, + "learning_rate": 1.823846305438032e-05, + "loss": 1.4734, + "step": 496 + }, + { + "epoch": 0.65, + "learning_rate": 1.8230455317892957e-05, + "loss": 1.5854, + "step": 497 + }, + { + "epoch": 0.65, + "learning_rate": 1.822243118784785e-05, + "loss": 1.3589, + "step": 498 + }, + { + "epoch": 0.65, + "learning_rate": 1.8214390680227588e-05, + "loss": 1.5336, + "step": 499 + }, + { + "epoch": 0.65, + "learning_rate": 1.82063338110474e-05, + "loss": 1.4623, + "step": 500 + }, + { + "epoch": 0.65, + "learning_rate": 1.8198260596355077e-05, + "loss": 1.4971, + "step": 501 + }, + { + "epoch": 0.66, + "learning_rate": 1.819017105223099e-05, + "loss": 1.4198, + "step": 502 + }, + { + "epoch": 0.66, + "learning_rate": 1.8182065194788024e-05, + "loss": 1.6746, + "step": 503 + }, + { + "epoch": 0.66, + "learning_rate": 1.8173943040171567e-05, + "loss": 1.7106, + "step": 504 + }, + { + "epoch": 0.66, + "learning_rate": 1.8165804604559455e-05, + "loss": 1.4187, + "step": 505 + }, + { + "epoch": 0.66, + "learning_rate": 1.8157649904161963e-05, + "loss": 1.5615, + "step": 506 + }, + { + "epoch": 0.66, + "learning_rate": 1.814947895522176e-05, + "loss": 1.534, + "step": 507 + }, + { + "epoch": 0.66, + "learning_rate": 1.8141291774013876e-05, + "loss": 1.4895, + "step": 508 + }, + { + "epoch": 0.67, + "learning_rate": 1.8133088376845675e-05, + "loss": 1.4571, + "step": 509 + }, + { + "epoch": 0.67, + "learning_rate": 1.8124868780056814e-05, + "loss": 1.6314, + "step": 510 + }, + { + "epoch": 0.67, + "learning_rate": 1.8116633000019233e-05, + "loss": 1.708, + "step": 511 + }, + { + "epoch": 0.67, + "learning_rate": 1.8108381053137086e-05, + "loss": 1.5999, + "step": 512 + }, + { + "epoch": 0.67, + "learning_rate": 1.8100112955846746e-05, + "loss": 1.4073, + "step": 513 + }, + { + "epoch": 0.67, + "learning_rate": 1.8091828724616742e-05, + "loss": 1.4875, + "step": 514 + }, + { + "epoch": 0.67, + "learning_rate": 1.8083528375947744e-05, + "loss": 1.455, + "step": 515 + }, + { + "epoch": 0.67, + "learning_rate": 1.807521192637253e-05, + "loss": 1.462, + "step": 516 + }, + { + "epoch": 0.68, + "learning_rate": 1.8066879392455932e-05, + "loss": 1.3701, + "step": 517 + }, + { + "epoch": 0.68, + "learning_rate": 1.8058530790794837e-05, + "loss": 1.5939, + "step": 518 + }, + { + "epoch": 0.68, + "learning_rate": 1.805016613801813e-05, + "loss": 1.5063, + "step": 519 + }, + { + "epoch": 0.68, + "learning_rate": 1.8041785450786655e-05, + "loss": 1.533, + "step": 520 + }, + { + "epoch": 0.68, + "learning_rate": 1.8033388745793218e-05, + "loss": 1.3381, + "step": 521 + }, + { + "epoch": 0.68, + "learning_rate": 1.8024976039762507e-05, + "loss": 1.6287, + "step": 522 + }, + { + "epoch": 0.68, + "learning_rate": 1.801654734945109e-05, + "loss": 1.5195, + "step": 523 + }, + { + "epoch": 0.68, + "learning_rate": 1.800810269164738e-05, + "loss": 1.4591, + "step": 524 + }, + { + "epoch": 0.69, + "learning_rate": 1.7999642083171576e-05, + "loss": 1.5765, + "step": 525 + }, + { + "epoch": 0.69, + "learning_rate": 1.7991165540875662e-05, + "loss": 1.4827, + "step": 526 + }, + { + "epoch": 0.69, + "learning_rate": 1.7982673081643364e-05, + "loss": 1.3935, + "step": 527 + }, + { + "epoch": 0.69, + "learning_rate": 1.7974164722390094e-05, + "loss": 1.5364, + "step": 528 + }, + { + "epoch": 0.69, + "learning_rate": 1.7965640480062945e-05, + "loss": 1.3546, + "step": 529 + }, + { + "epoch": 0.69, + "learning_rate": 1.795710037164065e-05, + "loss": 1.5956, + "step": 530 + }, + { + "epoch": 0.69, + "learning_rate": 1.7948544414133534e-05, + "loss": 1.7426, + "step": 531 + }, + { + "epoch": 0.7, + "learning_rate": 1.7939972624583496e-05, + "loss": 1.3783, + "step": 532 + }, + { + "epoch": 0.7, + "learning_rate": 1.793138502006397e-05, + "loss": 1.4114, + "step": 533 + }, + { + "epoch": 0.7, + "learning_rate": 1.792278161767989e-05, + "loss": 1.4835, + "step": 534 + }, + { + "epoch": 0.7, + "learning_rate": 1.7914162434567653e-05, + "loss": 1.4548, + "step": 535 + }, + { + "epoch": 0.7, + "learning_rate": 1.7905527487895095e-05, + "loss": 1.4565, + "step": 536 + }, + { + "epoch": 0.7, + "learning_rate": 1.7896876794861443e-05, + "loss": 1.6375, + "step": 537 + }, + { + "epoch": 0.7, + "learning_rate": 1.7888210372697292e-05, + "loss": 1.7816, + "step": 538 + }, + { + "epoch": 0.7, + "learning_rate": 1.7879528238664567e-05, + "loss": 1.4677, + "step": 539 + }, + { + "epoch": 0.71, + "learning_rate": 1.7870830410056487e-05, + "loss": 1.6285, + "step": 540 + }, + { + "epoch": 0.71, + "learning_rate": 1.7862116904197534e-05, + "loss": 1.5072, + "step": 541 + }, + { + "epoch": 0.71, + "learning_rate": 1.7853387738443407e-05, + "loss": 1.4388, + "step": 542 + }, + { + "epoch": 0.71, + "learning_rate": 1.7844642930181008e-05, + "loss": 1.4634, + "step": 543 + }, + { + "epoch": 0.71, + "learning_rate": 1.7835882496828392e-05, + "loss": 1.3691, + "step": 544 + }, + { + "epoch": 0.71, + "learning_rate": 1.782710645583473e-05, + "loss": 1.7348, + "step": 545 + }, + { + "epoch": 0.71, + "learning_rate": 1.78183148246803e-05, + "loss": 1.5476, + "step": 546 + }, + { + "epoch": 0.71, + "learning_rate": 1.7809507620876406e-05, + "loss": 1.4226, + "step": 547 + }, + { + "epoch": 0.72, + "learning_rate": 1.7800684861965386e-05, + "loss": 1.552, + "step": 548 + }, + { + "epoch": 0.72, + "learning_rate": 1.779184656552056e-05, + "loss": 1.3445, + "step": 549 + }, + { + "epoch": 0.72, + "learning_rate": 1.778299274914619e-05, + "loss": 1.3728, + "step": 550 + }, + { + "epoch": 0.72, + "learning_rate": 1.7774123430477464e-05, + "loss": 1.4584, + "step": 551 + }, + { + "epoch": 0.72, + "learning_rate": 1.7765238627180424e-05, + "loss": 1.3861, + "step": 552 + }, + { + "epoch": 0.72, + "learning_rate": 1.775633835695198e-05, + "loss": 1.5778, + "step": 553 + }, + { + "epoch": 0.72, + "learning_rate": 1.7747422637519838e-05, + "loss": 1.4371, + "step": 554 + }, + { + "epoch": 0.73, + "learning_rate": 1.773849148664247e-05, + "loss": 1.4731, + "step": 555 + }, + { + "epoch": 0.73, + "learning_rate": 1.7729544922109097e-05, + "loss": 1.4639, + "step": 556 + }, + { + "epoch": 0.73, + "learning_rate": 1.7720582961739628e-05, + "loss": 1.4996, + "step": 557 + }, + { + "epoch": 0.73, + "learning_rate": 1.7711605623384653e-05, + "loss": 1.4186, + "step": 558 + }, + { + "epoch": 0.73, + "learning_rate": 1.7702612924925377e-05, + "loss": 1.7156, + "step": 559 + }, + { + "epoch": 0.73, + "learning_rate": 1.769360488427361e-05, + "loss": 1.4141, + "step": 560 + }, + { + "epoch": 0.73, + "learning_rate": 1.7684581519371714e-05, + "loss": 1.4783, + "step": 561 + }, + { + "epoch": 0.73, + "learning_rate": 1.767554284819258e-05, + "loss": 1.4907, + "step": 562 + }, + { + "epoch": 0.74, + "learning_rate": 1.7666488888739587e-05, + "loss": 1.4398, + "step": 563 + }, + { + "epoch": 0.74, + "learning_rate": 1.7657419659046555e-05, + "loss": 1.5578, + "step": 564 + }, + { + "epoch": 0.74, + "learning_rate": 1.7648335177177725e-05, + "loss": 1.2612, + "step": 565 + }, + { + "epoch": 0.74, + "learning_rate": 1.7639235461227727e-05, + "loss": 1.4069, + "step": 566 + }, + { + "epoch": 0.74, + "learning_rate": 1.7630120529321518e-05, + "loss": 1.4186, + "step": 567 + }, + { + "epoch": 0.74, + "learning_rate": 1.7620990399614385e-05, + "loss": 1.6359, + "step": 568 + }, + { + "epoch": 0.74, + "learning_rate": 1.7611845090291858e-05, + "loss": 1.5227, + "step": 569 + }, + { + "epoch": 0.74, + "learning_rate": 1.760268461956972e-05, + "loss": 1.5207, + "step": 570 + }, + { + "epoch": 0.75, + "learning_rate": 1.759350900569395e-05, + "loss": 1.3005, + "step": 571 + }, + { + "epoch": 0.75, + "learning_rate": 1.758431826694069e-05, + "loss": 1.5959, + "step": 572 + }, + { + "epoch": 0.75, + "learning_rate": 1.7575112421616203e-05, + "loss": 1.4916, + "step": 573 + }, + { + "epoch": 0.75, + "learning_rate": 1.7565891488056846e-05, + "loss": 1.562, + "step": 574 + }, + { + "epoch": 0.75, + "learning_rate": 1.7556655484629028e-05, + "loss": 1.3952, + "step": 575 + }, + { + "epoch": 0.75, + "learning_rate": 1.7547404429729174e-05, + "loss": 1.442, + "step": 576 + }, + { + "epoch": 0.75, + "learning_rate": 1.753813834178369e-05, + "loss": 1.4802, + "step": 577 + }, + { + "epoch": 0.76, + "learning_rate": 1.7528857239248925e-05, + "loss": 1.4531, + "step": 578 + }, + { + "epoch": 0.76, + "learning_rate": 1.751956114061113e-05, + "loss": 1.4268, + "step": 579 + }, + { + "epoch": 0.76, + "learning_rate": 1.751025006438643e-05, + "loss": 1.4611, + "step": 580 + }, + { + "epoch": 0.76, + "learning_rate": 1.7500924029120782e-05, + "loss": 1.4781, + "step": 581 + }, + { + "epoch": 0.76, + "learning_rate": 1.7491583053389937e-05, + "loss": 1.6709, + "step": 582 + }, + { + "epoch": 0.76, + "learning_rate": 1.748222715579941e-05, + "loss": 1.4697, + "step": 583 + }, + { + "epoch": 0.76, + "learning_rate": 1.7472856354984427e-05, + "loss": 1.8062, + "step": 584 + }, + { + "epoch": 0.76, + "learning_rate": 1.7463470669609907e-05, + "loss": 1.5088, + "step": 585 + }, + { + "epoch": 0.77, + "learning_rate": 1.7454070118370416e-05, + "loss": 1.5084, + "step": 586 + }, + { + "epoch": 0.77, + "learning_rate": 1.7444654719990128e-05, + "loss": 1.4291, + "step": 587 + }, + { + "epoch": 0.77, + "learning_rate": 1.743522449322279e-05, + "loss": 1.543, + "step": 588 + }, + { + "epoch": 0.77, + "learning_rate": 1.7425779456851683e-05, + "loss": 1.4138, + "step": 589 + }, + { + "epoch": 0.77, + "learning_rate": 1.741631962968959e-05, + "loss": 1.4493, + "step": 590 + }, + { + "epoch": 0.77, + "learning_rate": 1.7406845030578747e-05, + "loss": 1.4229, + "step": 591 + }, + { + "epoch": 0.77, + "learning_rate": 1.7397355678390823e-05, + "loss": 1.6379, + "step": 592 + }, + { + "epoch": 0.78, + "learning_rate": 1.7387851592026868e-05, + "loss": 1.6639, + "step": 593 + }, + { + "epoch": 0.78, + "learning_rate": 1.7378332790417275e-05, + "loss": 1.3675, + "step": 594 + }, + { + "epoch": 0.78, + "learning_rate": 1.7368799292521754e-05, + "loss": 1.5564, + "step": 595 + }, + { + "epoch": 0.78, + "learning_rate": 1.7359251117329284e-05, + "loss": 1.4036, + "step": 596 + }, + { + "epoch": 0.78, + "learning_rate": 1.734968828385808e-05, + "loss": 1.5228, + "step": 597 + }, + { + "epoch": 0.78, + "learning_rate": 1.734011081115555e-05, + "loss": 1.4199, + "step": 598 + }, + { + "epoch": 0.78, + "learning_rate": 1.7330518718298263e-05, + "loss": 1.3642, + "step": 599 + }, + { + "epoch": 0.78, + "learning_rate": 1.7320912024391915e-05, + "loss": 1.6231, + "step": 600 + }, + { + "epoch": 0.79, + "learning_rate": 1.7311290748571273e-05, + "loss": 1.4194, + "step": 601 + }, + { + "epoch": 0.79, + "learning_rate": 1.730165491000016e-05, + "loss": 1.5672, + "step": 602 + }, + { + "epoch": 0.79, + "learning_rate": 1.729200452787139e-05, + "loss": 1.4293, + "step": 603 + }, + { + "epoch": 0.79, + "learning_rate": 1.7282339621406764e-05, + "loss": 1.4722, + "step": 604 + }, + { + "epoch": 0.79, + "learning_rate": 1.7272660209857e-05, + "loss": 1.3389, + "step": 605 + }, + { + "epoch": 0.79, + "learning_rate": 1.726296631250171e-05, + "loss": 1.5645, + "step": 606 + }, + { + "epoch": 0.79, + "learning_rate": 1.7253257948649357e-05, + "loss": 1.4608, + "step": 607 + }, + { + "epoch": 0.79, + "learning_rate": 1.7243535137637227e-05, + "loss": 1.4738, + "step": 608 + }, + { + "epoch": 0.8, + "learning_rate": 1.7233797898831376e-05, + "loss": 1.4042, + "step": 609 + }, + { + "epoch": 0.8, + "learning_rate": 1.7224046251626596e-05, + "loss": 1.4588, + "step": 610 + }, + { + "epoch": 0.8, + "learning_rate": 1.721428021544638e-05, + "loss": 1.4518, + "step": 611 + }, + { + "epoch": 0.8, + "learning_rate": 1.720449980974288e-05, + "loss": 1.4475, + "step": 612 + }, + { + "epoch": 0.8, + "learning_rate": 1.7194705053996873e-05, + "loss": 1.3607, + "step": 613 + }, + { + "epoch": 0.8, + "learning_rate": 1.7184895967717715e-05, + "loss": 1.6416, + "step": 614 + }, + { + "epoch": 0.8, + "learning_rate": 1.717507257044331e-05, + "loss": 1.3898, + "step": 615 + }, + { + "epoch": 0.81, + "learning_rate": 1.7165234881740064e-05, + "loss": 1.4316, + "step": 616 + }, + { + "epoch": 0.81, + "learning_rate": 1.7155382921202844e-05, + "loss": 1.4831, + "step": 617 + }, + { + "epoch": 0.81, + "learning_rate": 1.7145516708454953e-05, + "loss": 1.4551, + "step": 618 + }, + { + "epoch": 0.81, + "learning_rate": 1.713563626314808e-05, + "loss": 1.3642, + "step": 619 + }, + { + "epoch": 0.81, + "learning_rate": 1.7125741604962254e-05, + "loss": 1.5155, + "step": 620 + }, + { + "epoch": 0.81, + "learning_rate": 1.711583275360582e-05, + "loss": 1.5094, + "step": 621 + }, + { + "epoch": 0.81, + "learning_rate": 1.7105909728815398e-05, + "loss": 1.4877, + "step": 622 + }, + { + "epoch": 0.81, + "learning_rate": 1.709597255035583e-05, + "loss": 1.4399, + "step": 623 + }, + { + "epoch": 0.82, + "learning_rate": 1.7086021238020154e-05, + "loss": 1.5668, + "step": 624 + }, + { + "epoch": 0.82, + "learning_rate": 1.7076055811629556e-05, + "loss": 1.3735, + "step": 625 + }, + { + "epoch": 0.82, + "learning_rate": 1.7066076291033348e-05, + "loss": 1.5926, + "step": 626 + }, + { + "epoch": 0.82, + "learning_rate": 1.7056082696108896e-05, + "loss": 1.4911, + "step": 627 + }, + { + "epoch": 0.82, + "learning_rate": 1.7046075046761614e-05, + "loss": 1.3751, + "step": 628 + }, + { + "epoch": 0.82, + "learning_rate": 1.7036053362924896e-05, + "loss": 1.486, + "step": 629 + }, + { + "epoch": 0.82, + "learning_rate": 1.7026017664560108e-05, + "loss": 1.4863, + "step": 630 + }, + { + "epoch": 0.82, + "learning_rate": 1.7015967971656513e-05, + "loss": 1.5688, + "step": 631 + }, + { + "epoch": 0.83, + "learning_rate": 1.7005904304231263e-05, + "loss": 1.5164, + "step": 632 + }, + { + "epoch": 0.83, + "learning_rate": 1.699582668232934e-05, + "loss": 1.4478, + "step": 633 + }, + { + "epoch": 0.83, + "learning_rate": 1.6985735126023505e-05, + "loss": 1.5325, + "step": 634 + }, + { + "epoch": 0.83, + "learning_rate": 1.6975629655414304e-05, + "loss": 1.5206, + "step": 635 + }, + { + "epoch": 0.83, + "learning_rate": 1.6965510290629973e-05, + "loss": 1.5853, + "step": 636 + }, + { + "epoch": 0.83, + "learning_rate": 1.695537705182643e-05, + "loss": 1.5414, + "step": 637 + }, + { + "epoch": 0.83, + "learning_rate": 1.6945229959187232e-05, + "loss": 1.3947, + "step": 638 + }, + { + "epoch": 0.84, + "learning_rate": 1.6935069032923525e-05, + "loss": 1.5173, + "step": 639 + }, + { + "epoch": 0.84, + "learning_rate": 1.6924894293274016e-05, + "loss": 1.4498, + "step": 640 + }, + { + "epoch": 0.84, + "learning_rate": 1.6914705760504913e-05, + "loss": 1.315, + "step": 641 + }, + { + "epoch": 0.84, + "learning_rate": 1.6904503454909905e-05, + "loss": 1.5449, + "step": 642 + }, + { + "epoch": 0.84, + "learning_rate": 1.689428739681012e-05, + "loss": 1.3916, + "step": 643 + }, + { + "epoch": 0.84, + "learning_rate": 1.688405760655407e-05, + "loss": 1.4827, + "step": 644 + }, + { + "epoch": 0.84, + "learning_rate": 1.6873814104517617e-05, + "loss": 1.313, + "step": 645 + }, + { + "epoch": 0.84, + "learning_rate": 1.6863556911103948e-05, + "loss": 1.3906, + "step": 646 + }, + { + "epoch": 0.85, + "learning_rate": 1.6853286046743505e-05, + "loss": 1.4809, + "step": 647 + }, + { + "epoch": 0.85, + "learning_rate": 1.6843001531893967e-05, + "loss": 1.4373, + "step": 648 + }, + { + "epoch": 0.85, + "learning_rate": 1.68327033870402e-05, + "loss": 1.3667, + "step": 649 + }, + { + "epoch": 0.85, + "learning_rate": 1.682239163269422e-05, + "loss": 1.6086, + "step": 650 + }, + { + "epoch": 0.85, + "learning_rate": 1.6812066289395157e-05, + "loss": 1.6025, + "step": 651 + }, + { + "epoch": 0.85, + "learning_rate": 1.6801727377709195e-05, + "loss": 1.3733, + "step": 652 + }, + { + "epoch": 0.85, + "learning_rate": 1.679137491822955e-05, + "loss": 1.3865, + "step": 653 + }, + { + "epoch": 0.85, + "learning_rate": 1.6781008931576433e-05, + "loss": 1.4149, + "step": 654 + }, + { + "epoch": 0.86, + "learning_rate": 1.6770629438396973e-05, + "loss": 1.4549, + "step": 655 + }, + { + "epoch": 0.86, + "learning_rate": 1.676023645936523e-05, + "loss": 1.443, + "step": 656 + }, + { + "epoch": 0.86, + "learning_rate": 1.6749830015182106e-05, + "loss": 1.5147, + "step": 657 + }, + { + "epoch": 0.86, + "learning_rate": 1.673941012657533e-05, + "loss": 1.3656, + "step": 658 + }, + { + "epoch": 0.86, + "learning_rate": 1.6728976814299413e-05, + "loss": 1.5812, + "step": 659 + }, + { + "epoch": 0.86, + "learning_rate": 1.6718530099135596e-05, + "loss": 1.4519, + "step": 660 + }, + { + "epoch": 0.86, + "learning_rate": 1.670807000189182e-05, + "loss": 1.4256, + "step": 661 + }, + { + "epoch": 0.87, + "learning_rate": 1.6697596543402684e-05, + "loss": 1.4598, + "step": 662 + }, + { + "epoch": 0.87, + "learning_rate": 1.6687109744529394e-05, + "loss": 1.3108, + "step": 663 + }, + { + "epoch": 0.87, + "learning_rate": 1.667660962615973e-05, + "loss": 1.4414, + "step": 664 + }, + { + "epoch": 0.87, + "learning_rate": 1.6666096209208e-05, + "loss": 1.455, + "step": 665 + }, + { + "epoch": 0.87, + "learning_rate": 1.665556951461501e-05, + "loss": 1.4531, + "step": 666 + }, + { + "epoch": 0.87, + "learning_rate": 1.6645029563348e-05, + "loss": 1.4081, + "step": 667 + }, + { + "epoch": 0.87, + "learning_rate": 1.6634476376400624e-05, + "loss": 1.5535, + "step": 668 + }, + { + "epoch": 0.87, + "learning_rate": 1.6623909974792888e-05, + "loss": 1.4525, + "step": 669 + }, + { + "epoch": 0.88, + "learning_rate": 1.6613330379571135e-05, + "loss": 1.3994, + "step": 670 + }, + { + "epoch": 0.88, + "learning_rate": 1.6602737611807975e-05, + "loss": 1.3552, + "step": 671 + }, + { + "epoch": 0.88, + "learning_rate": 1.6592131692602257e-05, + "loss": 1.3903, + "step": 672 + }, + { + "epoch": 0.88, + "learning_rate": 1.6581512643079028e-05, + "loss": 1.4062, + "step": 673 + }, + { + "epoch": 0.88, + "learning_rate": 1.657088048438949e-05, + "loss": 1.5593, + "step": 674 + }, + { + "epoch": 0.88, + "learning_rate": 1.656023523771095e-05, + "loss": 1.4703, + "step": 675 + }, + { + "epoch": 0.88, + "learning_rate": 1.654957692424679e-05, + "loss": 1.3948, + "step": 676 + }, + { + "epoch": 0.88, + "learning_rate": 1.6538905565226416e-05, + "loss": 1.4193, + "step": 677 + }, + { + "epoch": 0.89, + "learning_rate": 1.6528221181905217e-05, + "loss": 1.4513, + "step": 678 + }, + { + "epoch": 0.89, + "learning_rate": 1.6517523795564527e-05, + "loss": 1.4719, + "step": 679 + }, + { + "epoch": 0.89, + "learning_rate": 1.6506813427511574e-05, + "loss": 1.4331, + "step": 680 + }, + { + "epoch": 0.89, + "learning_rate": 1.6496090099079452e-05, + "loss": 1.6245, + "step": 681 + }, + { + "epoch": 0.89, + "learning_rate": 1.648535383162706e-05, + "loss": 1.3991, + "step": 682 + }, + { + "epoch": 0.89, + "learning_rate": 1.647460464653908e-05, + "loss": 1.4738, + "step": 683 + }, + { + "epoch": 0.89, + "learning_rate": 1.6463842565225914e-05, + "loss": 1.3917, + "step": 684 + }, + { + "epoch": 0.9, + "learning_rate": 1.6453067609123656e-05, + "loss": 1.4979, + "step": 685 + }, + { + "epoch": 0.9, + "learning_rate": 1.6442279799694037e-05, + "loss": 1.3204, + "step": 686 + }, + { + "epoch": 0.9, + "learning_rate": 1.64314791584244e-05, + "loss": 1.4417, + "step": 687 + }, + { + "epoch": 0.9, + "learning_rate": 1.6420665706827647e-05, + "loss": 1.393, + "step": 688 + }, + { + "epoch": 0.9, + "learning_rate": 1.640983946644218e-05, + "loss": 1.5019, + "step": 689 + }, + { + "epoch": 0.9, + "learning_rate": 1.6399000458831893e-05, + "loss": 1.4612, + "step": 690 + }, + { + "epoch": 0.9, + "learning_rate": 1.6388148705586097e-05, + "loss": 1.4936, + "step": 691 + }, + { + "epoch": 0.9, + "learning_rate": 1.6377284228319496e-05, + "loss": 1.4793, + "step": 692 + }, + { + "epoch": 0.91, + "learning_rate": 1.6366407048672135e-05, + "loss": 1.5915, + "step": 693 + }, + { + "epoch": 0.91, + "learning_rate": 1.6355517188309366e-05, + "loss": 1.531, + "step": 694 + }, + { + "epoch": 0.91, + "learning_rate": 1.6344614668921787e-05, + "loss": 1.4645, + "step": 695 + }, + { + "epoch": 0.91, + "learning_rate": 1.6333699512225224e-05, + "loss": 1.3448, + "step": 696 + }, + { + "epoch": 0.91, + "learning_rate": 1.6322771739960664e-05, + "loss": 1.5339, + "step": 697 + }, + { + "epoch": 0.91, + "learning_rate": 1.6311831373894228e-05, + "loss": 1.5129, + "step": 698 + }, + { + "epoch": 0.91, + "learning_rate": 1.6300878435817115e-05, + "loss": 1.4603, + "step": 699 + }, + { + "epoch": 0.91, + "learning_rate": 1.628991294754557e-05, + "loss": 1.3988, + "step": 700 + }, + { + "epoch": 0.92, + "learning_rate": 1.6278934930920834e-05, + "loss": 1.3577, + "step": 701 + }, + { + "epoch": 0.92, + "learning_rate": 1.626794440780911e-05, + "loss": 1.3563, + "step": 702 + }, + { + "epoch": 0.92, + "learning_rate": 1.62569414001015e-05, + "loss": 1.2694, + "step": 703 + }, + { + "epoch": 0.92, + "learning_rate": 1.6245925929713976e-05, + "loss": 1.4932, + "step": 704 + }, + { + "epoch": 0.92, + "learning_rate": 1.6234898018587336e-05, + "loss": 1.5791, + "step": 705 + }, + { + "epoch": 0.92, + "learning_rate": 1.622385768868716e-05, + "loss": 1.336, + "step": 706 + }, + { + "epoch": 0.92, + "learning_rate": 1.6212804962003757e-05, + "loss": 1.5013, + "step": 707 + }, + { + "epoch": 0.93, + "learning_rate": 1.620173986055213e-05, + "loss": 1.4369, + "step": 708 + }, + { + "epoch": 0.93, + "learning_rate": 1.6190662406371937e-05, + "loss": 1.4798, + "step": 709 + }, + { + "epoch": 0.93, + "learning_rate": 1.6179572621527434e-05, + "loss": 1.5673, + "step": 710 + }, + { + "epoch": 0.93, + "learning_rate": 1.616847052810744e-05, + "loss": 1.5329, + "step": 711 + }, + { + "epoch": 0.93, + "learning_rate": 1.6157356148225282e-05, + "loss": 1.5054, + "step": 712 + }, + { + "epoch": 0.93, + "learning_rate": 1.6146229504018777e-05, + "loss": 1.5076, + "step": 713 + }, + { + "epoch": 0.93, + "learning_rate": 1.613509061765015e-05, + "loss": 1.5683, + "step": 714 + }, + { + "epoch": 0.93, + "learning_rate": 1.6123939511306028e-05, + "loss": 1.3936, + "step": 715 + }, + { + "epoch": 0.94, + "learning_rate": 1.6112776207197368e-05, + "loss": 1.4506, + "step": 716 + }, + { + "epoch": 0.94, + "learning_rate": 1.6101600727559423e-05, + "loss": 1.4543, + "step": 717 + }, + { + "epoch": 0.94, + "learning_rate": 1.60904130946517e-05, + "loss": 1.4286, + "step": 718 + }, + { + "epoch": 0.94, + "learning_rate": 1.607921333075791e-05, + "loss": 1.3896, + "step": 719 + }, + { + "epoch": 0.94, + "learning_rate": 1.6068001458185934e-05, + "loss": 1.5686, + "step": 720 + }, + { + "epoch": 0.94, + "learning_rate": 1.6056777499267764e-05, + "loss": 1.3608, + "step": 721 + }, + { + "epoch": 0.94, + "learning_rate": 1.6045541476359464e-05, + "loss": 1.4546, + "step": 722 + }, + { + "epoch": 0.94, + "learning_rate": 1.603429341184114e-05, + "loss": 1.361, + "step": 723 + }, + { + "epoch": 0.95, + "learning_rate": 1.6023033328116863e-05, + "loss": 1.349, + "step": 724 + }, + { + "epoch": 0.95, + "learning_rate": 1.6011761247614664e-05, + "loss": 1.6018, + "step": 725 + }, + { + "epoch": 0.95, + "learning_rate": 1.600047719278645e-05, + "loss": 1.3169, + "step": 726 + }, + { + "epoch": 0.95, + "learning_rate": 1.5989181186108003e-05, + "loss": 1.3935, + "step": 727 + }, + { + "epoch": 0.95, + "learning_rate": 1.597787325007889e-05, + "loss": 1.4533, + "step": 728 + }, + { + "epoch": 0.95, + "learning_rate": 1.596655340722244e-05, + "loss": 1.3166, + "step": 729 + }, + { + "epoch": 0.95, + "learning_rate": 1.5955221680085715e-05, + "loss": 1.5751, + "step": 730 + }, + { + "epoch": 0.96, + "learning_rate": 1.594387809123943e-05, + "loss": 1.4022, + "step": 731 + }, + { + "epoch": 0.96, + "learning_rate": 1.593252266327794e-05, + "loss": 1.4902, + "step": 732 + }, + { + "epoch": 0.96, + "learning_rate": 1.592115541881917e-05, + "loss": 1.4441, + "step": 733 + }, + { + "epoch": 0.96, + "learning_rate": 1.5909776380504583e-05, + "loss": 1.4561, + "step": 734 + }, + { + "epoch": 0.96, + "learning_rate": 1.5898385570999146e-05, + "loss": 1.5479, + "step": 735 + }, + { + "epoch": 0.96, + "learning_rate": 1.588698301299126e-05, + "loss": 1.4435, + "step": 736 + }, + { + "epoch": 0.96, + "learning_rate": 1.5875568729192728e-05, + "loss": 1.4532, + "step": 737 + }, + { + "epoch": 0.96, + "learning_rate": 1.5864142742338707e-05, + "loss": 1.4191, + "step": 738 + }, + { + "epoch": 0.97, + "learning_rate": 1.5852705075187674e-05, + "loss": 1.5131, + "step": 739 + }, + { + "epoch": 0.97, + "learning_rate": 1.584125575052136e-05, + "loss": 1.6136, + "step": 740 + }, + { + "epoch": 0.97, + "learning_rate": 1.5829794791144723e-05, + "loss": 1.6131, + "step": 741 + }, + { + "epoch": 0.97, + "learning_rate": 1.5818322219885888e-05, + "loss": 1.3705, + "step": 742 + }, + { + "epoch": 0.97, + "learning_rate": 1.580683805959612e-05, + "loss": 1.3605, + "step": 743 + }, + { + "epoch": 0.97, + "learning_rate": 1.5795342333149757e-05, + "loss": 1.4814, + "step": 744 + }, + { + "epoch": 0.97, + "learning_rate": 1.5783835063444176e-05, + "loss": 1.6124, + "step": 745 + }, + { + "epoch": 0.98, + "learning_rate": 1.577231627339975e-05, + "loss": 1.4262, + "step": 746 + }, + { + "epoch": 0.98, + "learning_rate": 1.57607859859598e-05, + "loss": 1.3018, + "step": 747 + }, + { + "epoch": 0.98, + "learning_rate": 1.5749244224090537e-05, + "loss": 1.4496, + "step": 748 + }, + { + "epoch": 0.98, + "learning_rate": 1.573769101078104e-05, + "loss": 1.4053, + "step": 749 + }, + { + "epoch": 0.98, + "learning_rate": 1.572612636904319e-05, + "loss": 1.4787, + "step": 750 + }, + { + "epoch": 0.98, + "learning_rate": 1.5714550321911636e-05, + "loss": 1.4017, + "step": 751 + }, + { + "epoch": 0.98, + "learning_rate": 1.570296289244373e-05, + "loss": 1.4664, + "step": 752 + }, + { + "epoch": 0.98, + "learning_rate": 1.5691364103719515e-05, + "loss": 1.3794, + "step": 753 + }, + { + "epoch": 0.99, + "learning_rate": 1.5679753978841655e-05, + "loss": 1.5015, + "step": 754 + }, + { + "epoch": 0.99, + "learning_rate": 1.566813254093538e-05, + "loss": 1.4208, + "step": 755 + }, + { + "epoch": 0.99, + "learning_rate": 1.565649981314847e-05, + "loss": 1.2914, + "step": 756 + }, + { + "epoch": 0.99, + "learning_rate": 1.5644855818651184e-05, + "loss": 1.4495, + "step": 757 + }, + { + "epoch": 0.99, + "learning_rate": 1.563320058063622e-05, + "loss": 1.5148, + "step": 758 + }, + { + "epoch": 0.99, + "learning_rate": 1.5621534122318682e-05, + "loss": 1.415, + "step": 759 + }, + { + "epoch": 0.99, + "learning_rate": 1.5609856466936013e-05, + "loss": 1.3962, + "step": 760 + }, + { + "epoch": 0.99, + "learning_rate": 1.559816763774796e-05, + "loss": 1.2682, + "step": 761 + }, + { + "epoch": 1.0, + "learning_rate": 1.5586467658036526e-05, + "loss": 1.2831, + "step": 762 + }, + { + "epoch": 1.0, + "learning_rate": 1.5574756551105926e-05, + "loss": 1.4633, + "step": 763 + }, + { + "epoch": 1.0, + "learning_rate": 1.556303434028254e-05, + "loss": 1.4293, + "step": 764 + }, + { + "epoch": 1.0, + "learning_rate": 1.5551301048914863e-05, + "loss": 1.3353, + "step": 765 + }, + { + "epoch": 1.0, + "learning_rate": 1.5539556700373454e-05, + "loss": 1.4561, + "step": 766 + }, + { + "epoch": 1.0, + "learning_rate": 1.5527801318050904e-05, + "loss": 1.2696, + "step": 767 + }, + { + "epoch": 1.0, + "learning_rate": 1.5516034925361785e-05, + "loss": 1.3438, + "step": 768 + }, + { + "epoch": 1.01, + "learning_rate": 1.5504257545742585e-05, + "loss": 1.3211, + "step": 769 + }, + { + "epoch": 1.01, + "learning_rate": 1.5492469202651687e-05, + "loss": 1.2836, + "step": 770 + }, + { + "epoch": 1.01, + "learning_rate": 1.5480669919569313e-05, + "loss": 1.4497, + "step": 771 + }, + { + "epoch": 1.01, + "learning_rate": 1.5468859719997468e-05, + "loss": 1.3471, + "step": 772 + }, + { + "epoch": 1.01, + "learning_rate": 1.5457038627459905e-05, + "loss": 1.4046, + "step": 773 + }, + { + "epoch": 1.01, + "learning_rate": 1.544520666550207e-05, + "loss": 1.3368, + "step": 774 + }, + { + "epoch": 1.01, + "learning_rate": 1.5433363857691067e-05, + "loss": 1.3998, + "step": 775 + }, + { + "epoch": 1.01, + "learning_rate": 1.5421510227615587e-05, + "loss": 1.4141, + "step": 776 + }, + { + "epoch": 1.02, + "learning_rate": 1.54096457988859e-05, + "loss": 1.3368, + "step": 777 + }, + { + "epoch": 1.02, + "learning_rate": 1.5397770595133763e-05, + "loss": 1.2981, + "step": 778 + }, + { + "epoch": 1.02, + "learning_rate": 1.538588464001241e-05, + "loss": 1.2526, + "step": 779 + }, + { + "epoch": 1.02, + "learning_rate": 1.537398795719648e-05, + "loss": 1.4553, + "step": 780 + }, + { + "epoch": 1.02, + "learning_rate": 1.536208057038199e-05, + "loss": 1.3564, + "step": 781 + }, + { + "epoch": 1.02, + "learning_rate": 1.5350162503286262e-05, + "loss": 1.2815, + "step": 782 + }, + { + "epoch": 1.02, + "learning_rate": 1.533823377964791e-05, + "loss": 1.3393, + "step": 783 + }, + { + "epoch": 1.02, + "learning_rate": 1.5326294423226754e-05, + "loss": 1.2078, + "step": 784 + }, + { + "epoch": 1.03, + "learning_rate": 1.5314344457803812e-05, + "loss": 1.3704, + "step": 785 + }, + { + "epoch": 1.03, + "learning_rate": 1.5302383907181212e-05, + "loss": 1.4243, + "step": 786 + }, + { + "epoch": 1.03, + "learning_rate": 1.5290412795182193e-05, + "loss": 1.3263, + "step": 787 + }, + { + "epoch": 1.03, + "learning_rate": 1.5278431145651006e-05, + "loss": 1.3138, + "step": 788 + }, + { + "epoch": 1.03, + "learning_rate": 1.52664389824529e-05, + "loss": 1.2868, + "step": 789 + }, + { + "epoch": 1.03, + "learning_rate": 1.5254436329474062e-05, + "loss": 1.4212, + "step": 790 + }, + { + "epoch": 1.03, + "learning_rate": 1.5242423210621584e-05, + "loss": 1.227, + "step": 791 + }, + { + "epoch": 1.04, + "learning_rate": 1.5230399649823389e-05, + "loss": 1.3289, + "step": 792 + }, + { + "epoch": 1.04, + "learning_rate": 1.5218365671028207e-05, + "loss": 1.4862, + "step": 793 + }, + { + "epoch": 1.04, + "learning_rate": 1.520632129820552e-05, + "loss": 1.3405, + "step": 794 + }, + { + "epoch": 1.04, + "learning_rate": 1.5194266555345505e-05, + "loss": 1.3097, + "step": 795 + }, + { + "epoch": 1.04, + "learning_rate": 1.5182201466459007e-05, + "loss": 1.3609, + "step": 796 + }, + { + "epoch": 1.04, + "learning_rate": 1.517012605557746e-05, + "loss": 1.3197, + "step": 797 + }, + { + "epoch": 1.04, + "learning_rate": 1.5158040346752878e-05, + "loss": 1.4184, + "step": 798 + }, + { + "epoch": 1.04, + "learning_rate": 1.514594436405777e-05, + "loss": 1.2864, + "step": 799 + }, + { + "epoch": 1.05, + "learning_rate": 1.513383813158512e-05, + "loss": 1.4705, + "step": 800 + }, + { + "epoch": 1.05, + "learning_rate": 1.5121721673448319e-05, + "loss": 1.2534, + "step": 801 + }, + { + "epoch": 1.05, + "learning_rate": 1.5109595013781136e-05, + "loss": 1.2593, + "step": 802 + }, + { + "epoch": 1.05, + "learning_rate": 1.5097458176737647e-05, + "loss": 1.602, + "step": 803 + }, + { + "epoch": 1.05, + "learning_rate": 1.5085311186492206e-05, + "loss": 1.5528, + "step": 804 + }, + { + "epoch": 1.05, + "learning_rate": 1.5073154067239396e-05, + "loss": 1.3256, + "step": 805 + }, + { + "epoch": 1.05, + "learning_rate": 1.506098684319396e-05, + "loss": 1.3318, + "step": 806 + }, + { + "epoch": 1.05, + "learning_rate": 1.5048809538590789e-05, + "loss": 1.4107, + "step": 807 + }, + { + "epoch": 1.06, + "learning_rate": 1.5036622177684832e-05, + "loss": 1.3083, + "step": 808 + }, + { + "epoch": 1.06, + "learning_rate": 1.5024424784751079e-05, + "loss": 1.4553, + "step": 809 + }, + { + "epoch": 1.06, + "learning_rate": 1.5012217384084501e-05, + "loss": 1.229, + "step": 810 + }, + { + "epoch": 1.06, + "learning_rate": 1.5000000000000002e-05, + "loss": 1.4023, + "step": 811 + }, + { + "epoch": 1.06, + "learning_rate": 1.4987772656832369e-05, + "loss": 1.3542, + "step": 812 + }, + { + "epoch": 1.06, + "learning_rate": 1.4975535378936228e-05, + "loss": 1.3595, + "step": 813 + }, + { + "epoch": 1.06, + "learning_rate": 1.4963288190685993e-05, + "loss": 1.4248, + "step": 814 + }, + { + "epoch": 1.07, + "learning_rate": 1.4951031116475819e-05, + "loss": 1.4272, + "step": 815 + }, + { + "epoch": 1.07, + "learning_rate": 1.4938764180719548e-05, + "loss": 1.3736, + "step": 816 + }, + { + "epoch": 1.07, + "learning_rate": 1.4926487407850667e-05, + "loss": 1.324, + "step": 817 + }, + { + "epoch": 1.07, + "learning_rate": 1.4914200822322255e-05, + "loss": 1.3547, + "step": 818 + }, + { + "epoch": 1.07, + "learning_rate": 1.490190444860694e-05, + "loss": 1.2825, + "step": 819 + }, + { + "epoch": 1.07, + "learning_rate": 1.488959831119684e-05, + "loss": 1.2481, + "step": 820 + }, + { + "epoch": 1.07, + "learning_rate": 1.4877282434603527e-05, + "loss": 1.4295, + "step": 821 + }, + { + "epoch": 1.07, + "learning_rate": 1.4864956843357967e-05, + "loss": 1.3544, + "step": 822 + }, + { + "epoch": 1.08, + "learning_rate": 1.4852621562010484e-05, + "loss": 1.3211, + "step": 823 + }, + { + "epoch": 1.08, + "learning_rate": 1.4840276615130687e-05, + "loss": 1.3247, + "step": 824 + }, + { + "epoch": 1.08, + "learning_rate": 1.482792202730745e-05, + "loss": 1.298, + "step": 825 + }, + { + "epoch": 1.08, + "learning_rate": 1.481555782314885e-05, + "loss": 1.2263, + "step": 826 + }, + { + "epoch": 1.08, + "learning_rate": 1.480318402728211e-05, + "loss": 1.2477, + "step": 827 + }, + { + "epoch": 1.08, + "learning_rate": 1.4790800664353562e-05, + "loss": 1.381, + "step": 828 + }, + { + "epoch": 1.08, + "learning_rate": 1.4778407759028599e-05, + "loss": 1.4058, + "step": 829 + }, + { + "epoch": 1.08, + "learning_rate": 1.4766005335991608e-05, + "loss": 1.2427, + "step": 830 + }, + { + "epoch": 1.09, + "learning_rate": 1.475359341994595e-05, + "loss": 1.2379, + "step": 831 + }, + { + "epoch": 1.09, + "learning_rate": 1.4741172035613884e-05, + "loss": 1.3705, + "step": 832 + }, + { + "epoch": 1.09, + "learning_rate": 1.4728741207736525e-05, + "loss": 1.2921, + "step": 833 + }, + { + "epoch": 1.09, + "learning_rate": 1.4716300961073808e-05, + "loss": 1.4335, + "step": 834 + }, + { + "epoch": 1.09, + "learning_rate": 1.4703851320404416e-05, + "loss": 1.3733, + "step": 835 + }, + { + "epoch": 1.09, + "learning_rate": 1.4691392310525761e-05, + "loss": 1.205, + "step": 836 + }, + { + "epoch": 1.09, + "learning_rate": 1.4678923956253894e-05, + "loss": 1.3927, + "step": 837 + }, + { + "epoch": 1.1, + "learning_rate": 1.46664462824235e-05, + "loss": 1.2401, + "step": 838 + }, + { + "epoch": 1.1, + "learning_rate": 1.4653959313887813e-05, + "loss": 1.1496, + "step": 839 + }, + { + "epoch": 1.1, + "learning_rate": 1.4641463075518587e-05, + "loss": 1.2139, + "step": 840 + }, + { + "epoch": 1.1, + "learning_rate": 1.462895759220603e-05, + "loss": 1.2934, + "step": 841 + }, + { + "epoch": 1.1, + "learning_rate": 1.4616442888858781e-05, + "loss": 1.433, + "step": 842 + }, + { + "epoch": 1.1, + "learning_rate": 1.460391899040383e-05, + "loss": 1.3424, + "step": 843 + }, + { + "epoch": 1.1, + "learning_rate": 1.4591385921786484e-05, + "loss": 1.5823, + "step": 844 + }, + { + "epoch": 1.1, + "learning_rate": 1.4578843707970323e-05, + "loss": 1.2476, + "step": 845 + }, + { + "epoch": 1.11, + "learning_rate": 1.4566292373937133e-05, + "loss": 1.3494, + "step": 846 + }, + { + "epoch": 1.11, + "learning_rate": 1.455373194468687e-05, + "loss": 1.4667, + "step": 847 + }, + { + "epoch": 1.11, + "learning_rate": 1.4541162445237604e-05, + "loss": 1.3184, + "step": 848 + }, + { + "epoch": 1.11, + "learning_rate": 1.4528583900625481e-05, + "loss": 1.1635, + "step": 849 + }, + { + "epoch": 1.11, + "learning_rate": 1.4515996335904646e-05, + "loss": 1.2017, + "step": 850 + }, + { + "epoch": 1.11, + "learning_rate": 1.4503399776147223e-05, + "loss": 1.2251, + "step": 851 + }, + { + "epoch": 1.11, + "learning_rate": 1.4490794246443249e-05, + "loss": 1.266, + "step": 852 + }, + { + "epoch": 1.12, + "learning_rate": 1.4478179771900634e-05, + "loss": 1.2223, + "step": 853 + }, + { + "epoch": 1.12, + "learning_rate": 1.4465556377645086e-05, + "loss": 1.3447, + "step": 854 + }, + { + "epoch": 1.12, + "learning_rate": 1.4452924088820101e-05, + "loss": 1.3507, + "step": 855 + }, + { + "epoch": 1.12, + "learning_rate": 1.444028293058688e-05, + "loss": 1.3325, + "step": 856 + }, + { + "epoch": 1.12, + "learning_rate": 1.4427632928124288e-05, + "loss": 1.2199, + "step": 857 + }, + { + "epoch": 1.12, + "learning_rate": 1.4414974106628816e-05, + "loss": 1.3947, + "step": 858 + }, + { + "epoch": 1.12, + "learning_rate": 1.4402306491314508e-05, + "loss": 1.2455, + "step": 859 + }, + { + "epoch": 1.12, + "learning_rate": 1.4389630107412942e-05, + "loss": 1.2585, + "step": 860 + }, + { + "epoch": 1.13, + "learning_rate": 1.4376944980173138e-05, + "loss": 1.1741, + "step": 861 + }, + { + "epoch": 1.13, + "learning_rate": 1.4364251134861552e-05, + "loss": 1.4873, + "step": 862 + }, + { + "epoch": 1.13, + "learning_rate": 1.435154859676199e-05, + "loss": 1.2544, + "step": 863 + }, + { + "epoch": 1.13, + "learning_rate": 1.4338837391175582e-05, + "loss": 1.5139, + "step": 864 + }, + { + "epoch": 1.13, + "learning_rate": 1.432611754342072e-05, + "loss": 1.3318, + "step": 865 + }, + { + "epoch": 1.13, + "learning_rate": 1.4313389078833005e-05, + "loss": 1.3818, + "step": 866 + }, + { + "epoch": 1.13, + "learning_rate": 1.4300652022765207e-05, + "loss": 1.3969, + "step": 867 + }, + { + "epoch": 1.13, + "learning_rate": 1.4287906400587204e-05, + "loss": 1.2875, + "step": 868 + }, + { + "epoch": 1.14, + "learning_rate": 1.4275152237685938e-05, + "loss": 1.3772, + "step": 869 + }, + { + "epoch": 1.14, + "learning_rate": 1.4262389559465364e-05, + "loss": 1.2559, + "step": 870 + }, + { + "epoch": 1.14, + "learning_rate": 1.4249618391346399e-05, + "loss": 1.3725, + "step": 871 + }, + { + "epoch": 1.14, + "learning_rate": 1.423683875876686e-05, + "loss": 1.3986, + "step": 872 + }, + { + "epoch": 1.14, + "learning_rate": 1.4224050687181442e-05, + "loss": 1.4285, + "step": 873 + }, + { + "epoch": 1.14, + "learning_rate": 1.4211254202061632e-05, + "loss": 1.3434, + "step": 874 + }, + { + "epoch": 1.14, + "learning_rate": 1.4198449328895685e-05, + "loss": 1.3032, + "step": 875 + }, + { + "epoch": 1.15, + "learning_rate": 1.4185636093188558e-05, + "loss": 1.5187, + "step": 876 + }, + { + "epoch": 1.15, + "learning_rate": 1.4172814520461867e-05, + "loss": 1.3192, + "step": 877 + }, + { + "epoch": 1.15, + "learning_rate": 1.4159984636253834e-05, + "loss": 1.287, + "step": 878 + }, + { + "epoch": 1.15, + "learning_rate": 1.4147146466119235e-05, + "loss": 1.3911, + "step": 879 + }, + { + "epoch": 1.15, + "learning_rate": 1.4134300035629353e-05, + "loss": 1.4266, + "step": 880 + }, + { + "epoch": 1.15, + "learning_rate": 1.4121445370371922e-05, + "loss": 1.4889, + "step": 881 + }, + { + "epoch": 1.15, + "learning_rate": 1.4108582495951077e-05, + "loss": 1.3725, + "step": 882 + }, + { + "epoch": 1.15, + "learning_rate": 1.4095711437987303e-05, + "loss": 1.3562, + "step": 883 + }, + { + "epoch": 1.16, + "learning_rate": 1.4082832222117388e-05, + "loss": 1.192, + "step": 884 + }, + { + "epoch": 1.16, + "learning_rate": 1.406994487399437e-05, + "loss": 1.2356, + "step": 885 + }, + { + "epoch": 1.16, + "learning_rate": 1.4057049419287486e-05, + "loss": 1.354, + "step": 886 + }, + { + "epoch": 1.16, + "learning_rate": 1.4044145883682108e-05, + "loss": 1.4592, + "step": 887 + }, + { + "epoch": 1.16, + "learning_rate": 1.4031234292879726e-05, + "loss": 1.3197, + "step": 888 + }, + { + "epoch": 1.16, + "learning_rate": 1.4018314672597848e-05, + "loss": 1.2761, + "step": 889 + }, + { + "epoch": 1.16, + "learning_rate": 1.4005387048569997e-05, + "loss": 1.3186, + "step": 890 + }, + { + "epoch": 1.16, + "learning_rate": 1.3992451446545624e-05, + "loss": 1.3058, + "step": 891 + }, + { + "epoch": 1.17, + "learning_rate": 1.3979507892290078e-05, + "loss": 1.3268, + "step": 892 + }, + { + "epoch": 1.17, + "learning_rate": 1.3966556411584548e-05, + "loss": 1.4442, + "step": 893 + }, + { + "epoch": 1.17, + "learning_rate": 1.3953597030226006e-05, + "loss": 1.5029, + "step": 894 + }, + { + "epoch": 1.17, + "learning_rate": 1.394062977402717e-05, + "loss": 1.3462, + "step": 895 + }, + { + "epoch": 1.17, + "learning_rate": 1.3927654668816425e-05, + "loss": 1.3557, + "step": 896 + }, + { + "epoch": 1.17, + "learning_rate": 1.3914671740437811e-05, + "loss": 1.2279, + "step": 897 + }, + { + "epoch": 1.17, + "learning_rate": 1.3901681014750932e-05, + "loss": 1.3755, + "step": 898 + }, + { + "epoch": 1.18, + "learning_rate": 1.388868251763094e-05, + "loss": 1.3507, + "step": 899 + }, + { + "epoch": 1.18, + "learning_rate": 1.3875676274968453e-05, + "loss": 1.3406, + "step": 900 + }, + { + "epoch": 1.18, + "learning_rate": 1.3862662312669518e-05, + "loss": 1.2504, + "step": 901 + }, + { + "epoch": 1.18, + "learning_rate": 1.3849640656655572e-05, + "loss": 1.3773, + "step": 902 + }, + { + "epoch": 1.18, + "learning_rate": 1.3836611332863356e-05, + "loss": 1.3935, + "step": 903 + }, + { + "epoch": 1.18, + "learning_rate": 1.3823574367244898e-05, + "loss": 1.4741, + "step": 904 + }, + { + "epoch": 1.18, + "learning_rate": 1.3810529785767444e-05, + "loss": 1.2404, + "step": 905 + }, + { + "epoch": 1.18, + "learning_rate": 1.3797477614413404e-05, + "loss": 1.5165, + "step": 906 + }, + { + "epoch": 1.19, + "learning_rate": 1.3784417879180314e-05, + "loss": 1.3026, + "step": 907 + }, + { + "epoch": 1.19, + "learning_rate": 1.377135060608077e-05, + "loss": 1.3751, + "step": 908 + }, + { + "epoch": 1.19, + "learning_rate": 1.3758275821142382e-05, + "loss": 1.303, + "step": 909 + }, + { + "epoch": 1.19, + "learning_rate": 1.374519355040773e-05, + "loss": 1.4328, + "step": 910 + }, + { + "epoch": 1.19, + "learning_rate": 1.373210381993429e-05, + "loss": 1.3693, + "step": 911 + }, + { + "epoch": 1.19, + "learning_rate": 1.3719006655794414e-05, + "loss": 1.2239, + "step": 912 + }, + { + "epoch": 1.19, + "learning_rate": 1.3705902084075244e-05, + "loss": 1.5724, + "step": 913 + }, + { + "epoch": 1.19, + "learning_rate": 1.3692790130878684e-05, + "loss": 1.28, + "step": 914 + }, + { + "epoch": 1.2, + "learning_rate": 1.3679670822321347e-05, + "loss": 1.2516, + "step": 915 + }, + { + "epoch": 1.2, + "learning_rate": 1.3666544184534483e-05, + "loss": 1.2594, + "step": 916 + }, + { + "epoch": 1.2, + "learning_rate": 1.3653410243663953e-05, + "loss": 1.3354, + "step": 917 + }, + { + "epoch": 1.2, + "learning_rate": 1.3640269025870152e-05, + "loss": 1.335, + "step": 918 + }, + { + "epoch": 1.2, + "learning_rate": 1.3627120557327982e-05, + "loss": 1.2795, + "step": 919 + }, + { + "epoch": 1.2, + "learning_rate": 1.3613964864226778e-05, + "loss": 1.336, + "step": 920 + }, + { + "epoch": 1.2, + "learning_rate": 1.3600801972770272e-05, + "loss": 1.3821, + "step": 921 + }, + { + "epoch": 1.21, + "learning_rate": 1.3587631909176526e-05, + "loss": 1.3757, + "step": 922 + }, + { + "epoch": 1.21, + "learning_rate": 1.3574454699677893e-05, + "loss": 1.3641, + "step": 923 + }, + { + "epoch": 1.21, + "learning_rate": 1.3561270370520957e-05, + "loss": 1.4058, + "step": 924 + }, + { + "epoch": 1.21, + "learning_rate": 1.3548078947966487e-05, + "loss": 1.2977, + "step": 925 + }, + { + "epoch": 1.21, + "learning_rate": 1.3534880458289377e-05, + "loss": 1.4556, + "step": 926 + }, + { + "epoch": 1.21, + "learning_rate": 1.3521674927778594e-05, + "loss": 1.3128, + "step": 927 + }, + { + "epoch": 1.21, + "learning_rate": 1.350846238273714e-05, + "loss": 1.1963, + "step": 928 + }, + { + "epoch": 1.21, + "learning_rate": 1.3495242849481973e-05, + "loss": 1.3155, + "step": 929 + }, + { + "epoch": 1.22, + "learning_rate": 1.348201635434399e-05, + "loss": 1.3442, + "step": 930 + }, + { + "epoch": 1.22, + "learning_rate": 1.3468782923667936e-05, + "loss": 1.2025, + "step": 931 + }, + { + "epoch": 1.22, + "learning_rate": 1.345554258381238e-05, + "loss": 1.2701, + "step": 932 + }, + { + "epoch": 1.22, + "learning_rate": 1.3442295361149651e-05, + "loss": 1.2732, + "step": 933 + }, + { + "epoch": 1.22, + "learning_rate": 1.3429041282065788e-05, + "loss": 1.3274, + "step": 934 + }, + { + "epoch": 1.22, + "learning_rate": 1.341578037296049e-05, + "loss": 1.4623, + "step": 935 + }, + { + "epoch": 1.22, + "learning_rate": 1.3402512660247046e-05, + "loss": 1.2364, + "step": 936 + }, + { + "epoch": 1.22, + "learning_rate": 1.3389238170352318e-05, + "loss": 1.2667, + "step": 937 + }, + { + "epoch": 1.23, + "learning_rate": 1.337595692971665e-05, + "loss": 1.3677, + "step": 938 + }, + { + "epoch": 1.23, + "learning_rate": 1.336266896479384e-05, + "loss": 1.2828, + "step": 939 + }, + { + "epoch": 1.23, + "learning_rate": 1.3349374302051072e-05, + "loss": 1.3525, + "step": 940 + }, + { + "epoch": 1.23, + "learning_rate": 1.3336072967968882e-05, + "loss": 1.1946, + "step": 941 + }, + { + "epoch": 1.23, + "learning_rate": 1.3322764989041086e-05, + "loss": 1.1775, + "step": 942 + }, + { + "epoch": 1.23, + "learning_rate": 1.330945039177474e-05, + "loss": 1.5145, + "step": 943 + }, + { + "epoch": 1.23, + "learning_rate": 1.329612920269008e-05, + "loss": 1.1247, + "step": 944 + }, + { + "epoch": 1.24, + "learning_rate": 1.328280144832047e-05, + "loss": 1.197, + "step": 945 + }, + { + "epoch": 1.24, + "learning_rate": 1.3269467155212352e-05, + "loss": 1.4466, + "step": 946 + }, + { + "epoch": 1.24, + "learning_rate": 1.3256126349925195e-05, + "loss": 1.309, + "step": 947 + }, + { + "epoch": 1.24, + "learning_rate": 1.3242779059031436e-05, + "loss": 1.3885, + "step": 948 + }, + { + "epoch": 1.24, + "learning_rate": 1.322942530911643e-05, + "loss": 1.305, + "step": 949 + }, + { + "epoch": 1.24, + "learning_rate": 1.3216065126778399e-05, + "loss": 1.3519, + "step": 950 + }, + { + "epoch": 1.24, + "learning_rate": 1.3202698538628376e-05, + "loss": 1.343, + "step": 951 + }, + { + "epoch": 1.24, + "learning_rate": 1.3189325571290158e-05, + "loss": 1.3325, + "step": 952 + }, + { + "epoch": 1.25, + "learning_rate": 1.3175946251400234e-05, + "loss": 1.1634, + "step": 953 + }, + { + "epoch": 1.25, + "learning_rate": 1.3162560605607763e-05, + "loss": 1.202, + "step": 954 + }, + { + "epoch": 1.25, + "learning_rate": 1.3149168660574495e-05, + "loss": 1.2865, + "step": 955 + }, + { + "epoch": 1.25, + "learning_rate": 1.313577044297473e-05, + "loss": 1.355, + "step": 956 + }, + { + "epoch": 1.25, + "learning_rate": 1.3122365979495259e-05, + "loss": 1.4174, + "step": 957 + }, + { + "epoch": 1.25, + "learning_rate": 1.3108955296835313e-05, + "loss": 1.3318, + "step": 958 + }, + { + "epoch": 1.25, + "learning_rate": 1.309553842170652e-05, + "loss": 1.3663, + "step": 959 + }, + { + "epoch": 1.25, + "learning_rate": 1.3082115380832829e-05, + "loss": 1.344, + "step": 960 + }, + { + "epoch": 1.26, + "learning_rate": 1.3068686200950475e-05, + "loss": 1.3489, + "step": 961 + }, + { + "epoch": 1.26, + "learning_rate": 1.3055250908807926e-05, + "loss": 1.3992, + "step": 962 + }, + { + "epoch": 1.26, + "learning_rate": 1.3041809531165819e-05, + "loss": 1.3718, + "step": 963 + }, + { + "epoch": 1.26, + "learning_rate": 1.3028362094796908e-05, + "loss": 1.3789, + "step": 964 + }, + { + "epoch": 1.26, + "learning_rate": 1.3014908626486032e-05, + "loss": 1.3265, + "step": 965 + }, + { + "epoch": 1.26, + "learning_rate": 1.3001449153030024e-05, + "loss": 1.2635, + "step": 966 + }, + { + "epoch": 1.26, + "learning_rate": 1.2987983701237688e-05, + "loss": 1.1998, + "step": 967 + }, + { + "epoch": 1.27, + "learning_rate": 1.2974512297929733e-05, + "loss": 1.174, + "step": 968 + }, + { + "epoch": 1.27, + "learning_rate": 1.2961034969938732e-05, + "loss": 1.2968, + "step": 969 + }, + { + "epoch": 1.27, + "learning_rate": 1.2947551744109044e-05, + "loss": 1.2934, + "step": 970 + }, + { + "epoch": 1.27, + "learning_rate": 1.2934062647296783e-05, + "loss": 1.1205, + "step": 971 + }, + { + "epoch": 1.27, + "learning_rate": 1.292056770636976e-05, + "loss": 1.4206, + "step": 972 + }, + { + "epoch": 1.27, + "learning_rate": 1.290706694820742e-05, + "loss": 1.2795, + "step": 973 + }, + { + "epoch": 1.27, + "learning_rate": 1.2893560399700797e-05, + "loss": 1.3978, + "step": 974 + }, + { + "epoch": 1.27, + "learning_rate": 1.288004808775246e-05, + "loss": 1.3022, + "step": 975 + }, + { + "epoch": 1.28, + "learning_rate": 1.2866530039276455e-05, + "loss": 1.1413, + "step": 976 + }, + { + "epoch": 1.28, + "learning_rate": 1.2853006281198257e-05, + "loss": 1.3979, + "step": 977 + }, + { + "epoch": 1.28, + "learning_rate": 1.2839476840454714e-05, + "loss": 1.337, + "step": 978 + }, + { + "epoch": 1.28, + "learning_rate": 1.282594174399399e-05, + "loss": 1.3242, + "step": 979 + }, + { + "epoch": 1.28, + "learning_rate": 1.2812401018775512e-05, + "loss": 1.3954, + "step": 980 + }, + { + "epoch": 1.28, + "learning_rate": 1.2798854691769927e-05, + "loss": 1.4023, + "step": 981 + }, + { + "epoch": 1.28, + "learning_rate": 1.278530278995903e-05, + "loss": 1.1767, + "step": 982 + }, + { + "epoch": 1.28, + "learning_rate": 1.2771745340335726e-05, + "loss": 1.3525, + "step": 983 + }, + { + "epoch": 1.29, + "learning_rate": 1.2758182369903969e-05, + "loss": 1.3312, + "step": 984 + }, + { + "epoch": 1.29, + "learning_rate": 1.2744613905678707e-05, + "loss": 1.2137, + "step": 985 + }, + { + "epoch": 1.29, + "learning_rate": 1.2731039974685833e-05, + "loss": 1.2834, + "step": 986 + }, + { + "epoch": 1.29, + "learning_rate": 1.2717460603962132e-05, + "loss": 1.315, + "step": 987 + }, + { + "epoch": 1.29, + "learning_rate": 1.2703875820555218e-05, + "loss": 1.3543, + "step": 988 + }, + { + "epoch": 1.29, + "learning_rate": 1.269028565152349e-05, + "loss": 1.3201, + "step": 989 + }, + { + "epoch": 1.29, + "learning_rate": 1.2676690123936066e-05, + "loss": 1.2848, + "step": 990 + }, + { + "epoch": 1.3, + "learning_rate": 1.2663089264872751e-05, + "loss": 1.3589, + "step": 991 + }, + { + "epoch": 1.3, + "learning_rate": 1.2649483101423962e-05, + "loss": 1.1543, + "step": 992 + }, + { + "epoch": 1.3, + "learning_rate": 1.2635871660690677e-05, + "loss": 1.5853, + "step": 993 + }, + { + "epoch": 1.3, + "learning_rate": 1.2622254969784393e-05, + "loss": 1.3134, + "step": 994 + }, + { + "epoch": 1.3, + "learning_rate": 1.2608633055827064e-05, + "loss": 1.3688, + "step": 995 + }, + { + "epoch": 1.3, + "learning_rate": 1.259500594595104e-05, + "loss": 1.3339, + "step": 996 + }, + { + "epoch": 1.3, + "learning_rate": 1.2581373667299026e-05, + "loss": 1.3099, + "step": 997 + }, + { + "epoch": 1.3, + "learning_rate": 1.2567736247024023e-05, + "loss": 1.4095, + "step": 998 + }, + { + "epoch": 1.31, + "learning_rate": 1.2554093712289267e-05, + "loss": 1.27, + "step": 999 + }, + { + "epoch": 1.31, + "learning_rate": 1.2540446090268193e-05, + "loss": 1.2994, + "step": 1000 + } + ], + "max_steps": 2295, + "num_train_epochs": 3, + "total_flos": 2.343808717197148e+17, + "trial_name": null, + "trial_params": null +}