diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,70824 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 11799, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 5.649717514124294e-08, + "loss": 1.3884, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.1299435028248588e-07, + "loss": 1.378, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 1.1299435028248588e-07, + "loss": 1.4577, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 1.6949152542372883e-07, + "loss": 1.4417, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 2.2598870056497177e-07, + "loss": 1.3803, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 2.2598870056497177e-07, + "loss": 1.4491, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 2.8248587570621473e-07, + "loss": 1.4094, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 3.3898305084745766e-07, + "loss": 1.3807, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 3.3898305084745766e-07, + "loss": 1.3895, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 3.9548022598870065e-07, + "loss": 1.4583, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 4.5197740112994353e-07, + "loss": 1.3578, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 5.084745762711865e-07, + "loss": 1.3159, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 5.649717514124295e-07, + "loss": 1.3613, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 6.214689265536724e-07, + "loss": 1.3607, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 6.779661016949153e-07, + "loss": 1.3289, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 7.344632768361583e-07, + "loss": 1.2978, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 7.909604519774013e-07, + "loss": 1.3121, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 8.474576271186441e-07, + "loss": 1.2525, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 9.039548022598871e-07, + "loss": 1.2964, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 9.6045197740113e-07, + "loss": 1.322, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 1.016949152542373e-06, + "loss": 1.2147, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 1.073446327683616e-06, + "loss": 1.2537, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 1.129943502824859e-06, + "loss": 1.2565, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 1.186440677966102e-06, + "loss": 1.2331, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 1.2429378531073449e-06, + "loss": 1.2578, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 1.2994350282485877e-06, + "loss": 1.2789, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 1.2994350282485877e-06, + "loss": 1.3013, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 1.3559322033898307e-06, + "loss": 1.2531, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 1.4124293785310736e-06, + "loss": 1.231, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 1.4689265536723166e-06, + "loss": 1.2459, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 1.5254237288135596e-06, + "loss": 0.6509, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 1.5819209039548026e-06, + "loss": 1.2699, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 1.6384180790960452e-06, + "loss": 1.2798, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 1.6949152542372882e-06, + "loss": 1.2228, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 1.7514124293785311e-06, + "loss": 1.2954, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 1.8079096045197741e-06, + "loss": 1.2202, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 1.8644067796610171e-06, + "loss": 1.2223, + "step": 37 + }, + { + "epoch": 0.0, + "learning_rate": 1.92090395480226e-06, + "loss": 1.2364, + "step": 38 + }, + { + "epoch": 0.0, + "learning_rate": 1.977401129943503e-06, + "loss": 1.2612, + "step": 39 + }, + { + "epoch": 0.0, + "learning_rate": 2.033898305084746e-06, + "loss": 1.2178, + "step": 40 + }, + { + "epoch": 0.0, + "learning_rate": 2.090395480225989e-06, + "loss": 1.2097, + "step": 41 + }, + { + "epoch": 0.0, + "learning_rate": 2.146892655367232e-06, + "loss": 0.5979, + "step": 42 + }, + { + "epoch": 0.0, + "learning_rate": 2.203389830508475e-06, + "loss": 1.1739, + "step": 43 + }, + { + "epoch": 0.0, + "learning_rate": 2.259887005649718e-06, + "loss": 1.1264, + "step": 44 + }, + { + "epoch": 0.0, + "learning_rate": 2.316384180790961e-06, + "loss": 1.1822, + "step": 45 + }, + { + "epoch": 0.0, + "learning_rate": 2.372881355932204e-06, + "loss": 1.2321, + "step": 46 + }, + { + "epoch": 0.0, + "learning_rate": 2.4293785310734468e-06, + "loss": 1.256, + "step": 47 + }, + { + "epoch": 0.0, + "learning_rate": 2.4858757062146898e-06, + "loss": 1.1798, + "step": 48 + }, + { + "epoch": 0.0, + "learning_rate": 2.5423728813559323e-06, + "loss": 1.1769, + "step": 49 + }, + { + "epoch": 0.0, + "learning_rate": 2.5988700564971753e-06, + "loss": 1.1465, + "step": 50 + }, + { + "epoch": 0.0, + "learning_rate": 2.6553672316384183e-06, + "loss": 1.2273, + "step": 51 + }, + { + "epoch": 0.0, + "learning_rate": 2.7118644067796613e-06, + "loss": 1.1872, + "step": 52 + }, + { + "epoch": 0.0, + "learning_rate": 2.7683615819209043e-06, + "loss": 1.2092, + "step": 53 + }, + { + "epoch": 0.0, + "learning_rate": 2.8248587570621473e-06, + "loss": 1.1545, + "step": 54 + }, + { + "epoch": 0.0, + "learning_rate": 2.8813559322033903e-06, + "loss": 1.1995, + "step": 55 + }, + { + "epoch": 0.0, + "learning_rate": 2.9378531073446333e-06, + "loss": 1.1736, + "step": 56 + }, + { + "epoch": 0.0, + "learning_rate": 2.9943502824858762e-06, + "loss": 1.2397, + "step": 57 + }, + { + "epoch": 0.0, + "learning_rate": 3.0508474576271192e-06, + "loss": 1.1834, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 3.1073446327683622e-06, + "loss": 1.2427, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 3.163841807909605e-06, + "loss": 1.2051, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 3.2203389830508473e-06, + "loss": 1.2305, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 3.2768361581920903e-06, + "loss": 1.195, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 3.3333333333333333e-06, + "loss": 1.1734, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 3.3898305084745763e-06, + "loss": 1.1385, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 3.4463276836158193e-06, + "loss": 1.1668, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 3.5028248587570623e-06, + "loss": 1.1929, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 3.5593220338983053e-06, + "loss": 1.1247, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 3.6158192090395483e-06, + "loss": 1.1718, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 3.6723163841807913e-06, + "loss": 1.1769, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 3.7288135593220342e-06, + "loss": 1.1203, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 3.7853107344632772e-06, + "loss": 1.1032, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 3.84180790960452e-06, + "loss": 1.1886, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 3.898305084745763e-06, + "loss": 1.2181, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 3.954802259887006e-06, + "loss": 1.1075, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 4.011299435028249e-06, + "loss": 1.1154, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 4.067796610169492e-06, + "loss": 1.0801, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 4.124293785310734e-06, + "loss": 1.1881, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 4.180790960451978e-06, + "loss": 1.2097, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 4.23728813559322e-06, + "loss": 1.1339, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 4.293785310734464e-06, + "loss": 1.1546, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 4.350282485875706e-06, + "loss": 1.2272, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 4.40677966101695e-06, + "loss": 1.1561, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 4.463276836158192e-06, + "loss": 1.142, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 4.519774011299436e-06, + "loss": 1.1114, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 4.576271186440678e-06, + "loss": 1.1469, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 4.632768361581922e-06, + "loss": 1.1178, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 4.689265536723164e-06, + "loss": 1.1339, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 4.745762711864408e-06, + "loss": 1.1301, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 4.80225988700565e-06, + "loss": 1.2225, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 4.8587570621468936e-06, + "loss": 1.1336, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 4.915254237288136e-06, + "loss": 1.1137, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 4.9717514124293796e-06, + "loss": 1.1196, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 5.028248587570622e-06, + "loss": 1.1061, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 5.084745762711865e-06, + "loss": 1.1832, + "step": 94 + }, + { + "epoch": 0.01, + "learning_rate": 5.141242937853108e-06, + "loss": 1.1381, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 5.197740112994351e-06, + "loss": 1.179, + "step": 96 + }, + { + "epoch": 0.01, + "learning_rate": 5.254237288135594e-06, + "loss": 1.1257, + "step": 97 + }, + { + "epoch": 0.01, + "learning_rate": 5.310734463276837e-06, + "loss": 1.1126, + "step": 98 + }, + { + "epoch": 0.01, + "learning_rate": 5.36723163841808e-06, + "loss": 1.1322, + "step": 99 + }, + { + "epoch": 0.01, + "learning_rate": 5.423728813559323e-06, + "loss": 1.1438, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 5.480225988700565e-06, + "loss": 1.1749, + "step": 101 + }, + { + "epoch": 0.01, + "learning_rate": 5.536723163841809e-06, + "loss": 1.1639, + "step": 102 + }, + { + "epoch": 0.01, + "learning_rate": 5.593220338983051e-06, + "loss": 1.1068, + "step": 103 + }, + { + "epoch": 0.01, + "learning_rate": 5.6497175141242946e-06, + "loss": 0.6407, + "step": 104 + }, + { + "epoch": 0.01, + "learning_rate": 5.706214689265537e-06, + "loss": 1.1342, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 5.7627118644067805e-06, + "loss": 1.107, + "step": 106 + }, + { + "epoch": 0.01, + "learning_rate": 5.819209039548023e-06, + "loss": 1.1293, + "step": 107 + }, + { + "epoch": 0.01, + "learning_rate": 5.8757062146892665e-06, + "loss": 1.0925, + "step": 108 + }, + { + "epoch": 0.01, + "learning_rate": 5.932203389830509e-06, + "loss": 1.107, + "step": 109 + }, + { + "epoch": 0.01, + "learning_rate": 5.9887005649717525e-06, + "loss": 1.1006, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 6.045197740112995e-06, + "loss": 1.1213, + "step": 111 + }, + { + "epoch": 0.01, + "learning_rate": 6.1016949152542385e-06, + "loss": 1.1357, + "step": 112 + }, + { + "epoch": 0.01, + "learning_rate": 6.158192090395481e-06, + "loss": 1.1567, + "step": 113 + }, + { + "epoch": 0.01, + "learning_rate": 6.2146892655367244e-06, + "loss": 1.17, + "step": 114 + }, + { + "epoch": 0.01, + "learning_rate": 6.271186440677966e-06, + "loss": 1.1304, + "step": 115 + }, + { + "epoch": 0.01, + "learning_rate": 6.32768361581921e-06, + "loss": 1.1451, + "step": 116 + }, + { + "epoch": 0.01, + "learning_rate": 6.384180790960452e-06, + "loss": 1.0918, + "step": 117 + }, + { + "epoch": 0.01, + "learning_rate": 6.440677966101695e-06, + "loss": 1.1228, + "step": 118 + }, + { + "epoch": 0.01, + "learning_rate": 6.497175141242938e-06, + "loss": 1.1693, + "step": 119 + }, + { + "epoch": 0.01, + "learning_rate": 6.553672316384181e-06, + "loss": 1.1009, + "step": 120 + }, + { + "epoch": 0.01, + "learning_rate": 6.610169491525424e-06, + "loss": 1.1036, + "step": 121 + }, + { + "epoch": 0.01, + "learning_rate": 6.666666666666667e-06, + "loss": 1.1552, + "step": 122 + }, + { + "epoch": 0.01, + "learning_rate": 6.72316384180791e-06, + "loss": 1.1047, + "step": 123 + }, + { + "epoch": 0.01, + "learning_rate": 6.779661016949153e-06, + "loss": 1.1198, + "step": 124 + }, + { + "epoch": 0.01, + "learning_rate": 6.836158192090396e-06, + "loss": 1.1165, + "step": 125 + }, + { + "epoch": 0.01, + "learning_rate": 6.892655367231639e-06, + "loss": 1.0931, + "step": 126 + }, + { + "epoch": 0.01, + "learning_rate": 6.949152542372882e-06, + "loss": 1.1432, + "step": 127 + }, + { + "epoch": 0.01, + "learning_rate": 7.0056497175141246e-06, + "loss": 1.0662, + "step": 128 + }, + { + "epoch": 0.01, + "learning_rate": 7.062146892655368e-06, + "loss": 1.0915, + "step": 129 + }, + { + "epoch": 0.01, + "learning_rate": 7.1186440677966106e-06, + "loss": 1.1308, + "step": 130 + }, + { + "epoch": 0.01, + "learning_rate": 7.175141242937854e-06, + "loss": 1.0976, + "step": 131 + }, + { + "epoch": 0.01, + "learning_rate": 7.2316384180790965e-06, + "loss": 1.1738, + "step": 132 + }, + { + "epoch": 0.01, + "learning_rate": 7.288135593220339e-06, + "loss": 1.078, + "step": 133 + }, + { + "epoch": 0.01, + "learning_rate": 7.3446327683615825e-06, + "loss": 1.1614, + "step": 134 + }, + { + "epoch": 0.01, + "learning_rate": 7.401129943502825e-06, + "loss": 1.0724, + "step": 135 + }, + { + "epoch": 0.01, + "learning_rate": 7.4576271186440685e-06, + "loss": 1.1434, + "step": 136 + }, + { + "epoch": 0.01, + "learning_rate": 7.514124293785311e-06, + "loss": 1.0589, + "step": 137 + }, + { + "epoch": 0.01, + "learning_rate": 7.5706214689265545e-06, + "loss": 1.0929, + "step": 138 + }, + { + "epoch": 0.01, + "learning_rate": 7.627118644067797e-06, + "loss": 1.1333, + "step": 139 + }, + { + "epoch": 0.01, + "learning_rate": 7.68361581920904e-06, + "loss": 1.0991, + "step": 140 + }, + { + "epoch": 0.01, + "learning_rate": 7.740112994350283e-06, + "loss": 1.1076, + "step": 141 + }, + { + "epoch": 0.01, + "learning_rate": 7.796610169491526e-06, + "loss": 1.0905, + "step": 142 + }, + { + "epoch": 0.01, + "learning_rate": 7.853107344632768e-06, + "loss": 1.103, + "step": 143 + }, + { + "epoch": 0.01, + "learning_rate": 7.909604519774012e-06, + "loss": 1.1253, + "step": 144 + }, + { + "epoch": 0.01, + "learning_rate": 7.966101694915255e-06, + "loss": 1.1252, + "step": 145 + }, + { + "epoch": 0.01, + "learning_rate": 8.022598870056498e-06, + "loss": 1.1281, + "step": 146 + }, + { + "epoch": 0.01, + "learning_rate": 8.07909604519774e-06, + "loss": 1.0945, + "step": 147 + }, + { + "epoch": 0.01, + "learning_rate": 8.135593220338983e-06, + "loss": 1.0634, + "step": 148 + }, + { + "epoch": 0.01, + "learning_rate": 8.192090395480227e-06, + "loss": 1.1374, + "step": 149 + }, + { + "epoch": 0.01, + "learning_rate": 8.248587570621469e-06, + "loss": 1.107, + "step": 150 + }, + { + "epoch": 0.01, + "learning_rate": 8.305084745762712e-06, + "loss": 1.1047, + "step": 151 + }, + { + "epoch": 0.01, + "learning_rate": 8.361581920903955e-06, + "loss": 1.1244, + "step": 152 + }, + { + "epoch": 0.01, + "learning_rate": 8.418079096045199e-06, + "loss": 1.1011, + "step": 153 + }, + { + "epoch": 0.01, + "learning_rate": 8.47457627118644e-06, + "loss": 1.1024, + "step": 154 + }, + { + "epoch": 0.01, + "learning_rate": 8.531073446327684e-06, + "loss": 1.1067, + "step": 155 + }, + { + "epoch": 0.01, + "learning_rate": 8.587570621468927e-06, + "loss": 1.1023, + "step": 156 + }, + { + "epoch": 0.01, + "learning_rate": 8.64406779661017e-06, + "loss": 1.1037, + "step": 157 + }, + { + "epoch": 0.01, + "learning_rate": 8.700564971751413e-06, + "loss": 1.0937, + "step": 158 + }, + { + "epoch": 0.01, + "learning_rate": 8.757062146892656e-06, + "loss": 1.0828, + "step": 159 + }, + { + "epoch": 0.01, + "learning_rate": 8.8135593220339e-06, + "loss": 1.0621, + "step": 160 + }, + { + "epoch": 0.01, + "learning_rate": 8.870056497175143e-06, + "loss": 1.1225, + "step": 161 + }, + { + "epoch": 0.01, + "learning_rate": 8.926553672316384e-06, + "loss": 0.493, + "step": 162 + }, + { + "epoch": 0.01, + "learning_rate": 8.983050847457628e-06, + "loss": 1.1269, + "step": 163 + }, + { + "epoch": 0.01, + "learning_rate": 9.039548022598871e-06, + "loss": 1.1084, + "step": 164 + }, + { + "epoch": 0.01, + "learning_rate": 9.096045197740113e-06, + "loss": 0.4502, + "step": 165 + }, + { + "epoch": 0.01, + "learning_rate": 9.152542372881356e-06, + "loss": 1.1291, + "step": 166 + }, + { + "epoch": 0.01, + "learning_rate": 9.2090395480226e-06, + "loss": 1.1301, + "step": 167 + }, + { + "epoch": 0.01, + "learning_rate": 9.265536723163843e-06, + "loss": 1.0792, + "step": 168 + }, + { + "epoch": 0.01, + "learning_rate": 9.322033898305085e-06, + "loss": 1.1163, + "step": 169 + }, + { + "epoch": 0.01, + "learning_rate": 9.378531073446328e-06, + "loss": 1.0728, + "step": 170 + }, + { + "epoch": 0.01, + "learning_rate": 9.435028248587572e-06, + "loss": 1.1042, + "step": 171 + }, + { + "epoch": 0.01, + "learning_rate": 9.491525423728815e-06, + "loss": 1.1105, + "step": 172 + }, + { + "epoch": 0.01, + "learning_rate": 9.548022598870057e-06, + "loss": 1.1154, + "step": 173 + }, + { + "epoch": 0.01, + "learning_rate": 9.6045197740113e-06, + "loss": 1.0794, + "step": 174 + }, + { + "epoch": 0.01, + "learning_rate": 9.661016949152544e-06, + "loss": 1.1082, + "step": 175 + }, + { + "epoch": 0.01, + "learning_rate": 9.717514124293787e-06, + "loss": 1.0852, + "step": 176 + }, + { + "epoch": 0.02, + "learning_rate": 9.774011299435029e-06, + "loss": 1.1215, + "step": 177 + }, + { + "epoch": 0.02, + "learning_rate": 9.830508474576272e-06, + "loss": 1.0512, + "step": 178 + }, + { + "epoch": 0.02, + "learning_rate": 9.887005649717516e-06, + "loss": 1.0278, + "step": 179 + }, + { + "epoch": 0.02, + "learning_rate": 9.943502824858759e-06, + "loss": 1.0776, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 1e-05, + "loss": 1.099, + "step": 181 + }, + { + "epoch": 0.02, + "learning_rate": 1.0056497175141244e-05, + "loss": 1.0948, + "step": 182 + }, + { + "epoch": 0.02, + "learning_rate": 1.0112994350282486e-05, + "loss": 1.0444, + "step": 183 + }, + { + "epoch": 0.02, + "learning_rate": 1.016949152542373e-05, + "loss": 1.0608, + "step": 184 + }, + { + "epoch": 0.02, + "learning_rate": 1.0225988700564973e-05, + "loss": 1.1165, + "step": 185 + }, + { + "epoch": 0.02, + "learning_rate": 1.0282485875706216e-05, + "loss": 1.0671, + "step": 186 + }, + { + "epoch": 0.02, + "learning_rate": 1.0338983050847458e-05, + "loss": 1.0921, + "step": 187 + }, + { + "epoch": 0.02, + "learning_rate": 1.0395480225988701e-05, + "loss": 1.0718, + "step": 188 + }, + { + "epoch": 0.02, + "learning_rate": 1.0451977401129945e-05, + "loss": 1.1057, + "step": 189 + }, + { + "epoch": 0.02, + "learning_rate": 1.0508474576271188e-05, + "loss": 1.1209, + "step": 190 + }, + { + "epoch": 0.02, + "learning_rate": 1.056497175141243e-05, + "loss": 1.1051, + "step": 191 + }, + { + "epoch": 0.02, + "learning_rate": 1.0621468926553673e-05, + "loss": 1.093, + "step": 192 + }, + { + "epoch": 0.02, + "learning_rate": 1.0677966101694917e-05, + "loss": 1.0366, + "step": 193 + }, + { + "epoch": 0.02, + "learning_rate": 1.073446327683616e-05, + "loss": 1.1563, + "step": 194 + }, + { + "epoch": 0.02, + "learning_rate": 1.0790960451977402e-05, + "loss": 1.136, + "step": 195 + }, + { + "epoch": 0.02, + "learning_rate": 1.0847457627118645e-05, + "loss": 1.1101, + "step": 196 + }, + { + "epoch": 0.02, + "learning_rate": 1.0903954802259889e-05, + "loss": 1.077, + "step": 197 + }, + { + "epoch": 0.02, + "learning_rate": 1.096045197740113e-05, + "loss": 1.0568, + "step": 198 + }, + { + "epoch": 0.02, + "learning_rate": 1.1016949152542374e-05, + "loss": 1.1129, + "step": 199 + }, + { + "epoch": 0.02, + "learning_rate": 1.1073446327683617e-05, + "loss": 1.0359, + "step": 200 + }, + { + "epoch": 0.02, + "learning_rate": 1.112994350282486e-05, + "loss": 1.0436, + "step": 201 + }, + { + "epoch": 0.02, + "learning_rate": 1.1186440677966102e-05, + "loss": 1.0323, + "step": 202 + }, + { + "epoch": 0.02, + "learning_rate": 1.1242937853107346e-05, + "loss": 1.1182, + "step": 203 + }, + { + "epoch": 0.02, + "learning_rate": 1.1299435028248589e-05, + "loss": 1.0661, + "step": 204 + }, + { + "epoch": 0.02, + "learning_rate": 1.1355932203389833e-05, + "loss": 1.0737, + "step": 205 + }, + { + "epoch": 0.02, + "learning_rate": 1.1412429378531074e-05, + "loss": 1.079, + "step": 206 + }, + { + "epoch": 0.02, + "learning_rate": 1.1468926553672318e-05, + "loss": 1.1136, + "step": 207 + }, + { + "epoch": 0.02, + "learning_rate": 1.1525423728813561e-05, + "loss": 1.0072, + "step": 208 + }, + { + "epoch": 0.02, + "learning_rate": 1.1581920903954804e-05, + "loss": 1.1166, + "step": 209 + }, + { + "epoch": 0.02, + "learning_rate": 1.1638418079096046e-05, + "loss": 1.1226, + "step": 210 + }, + { + "epoch": 0.02, + "learning_rate": 1.169491525423729e-05, + "loss": 1.1115, + "step": 211 + }, + { + "epoch": 0.02, + "learning_rate": 1.1751412429378533e-05, + "loss": 1.1034, + "step": 212 + }, + { + "epoch": 0.02, + "learning_rate": 1.1807909604519776e-05, + "loss": 1.1018, + "step": 213 + }, + { + "epoch": 0.02, + "learning_rate": 1.1864406779661018e-05, + "loss": 1.0878, + "step": 214 + }, + { + "epoch": 0.02, + "learning_rate": 1.1920903954802262e-05, + "loss": 1.1117, + "step": 215 + }, + { + "epoch": 0.02, + "learning_rate": 1.1977401129943505e-05, + "loss": 1.0623, + "step": 216 + }, + { + "epoch": 0.02, + "learning_rate": 1.2033898305084745e-05, + "loss": 1.1102, + "step": 217 + }, + { + "epoch": 0.02, + "learning_rate": 1.209039548022599e-05, + "loss": 1.0959, + "step": 218 + }, + { + "epoch": 0.02, + "learning_rate": 1.2146892655367234e-05, + "loss": 1.1273, + "step": 219 + }, + { + "epoch": 0.02, + "learning_rate": 1.2203389830508477e-05, + "loss": 1.1254, + "step": 220 + }, + { + "epoch": 0.02, + "learning_rate": 1.2259887005649717e-05, + "loss": 1.0387, + "step": 221 + }, + { + "epoch": 0.02, + "learning_rate": 1.2316384180790962e-05, + "loss": 1.0618, + "step": 222 + }, + { + "epoch": 0.02, + "learning_rate": 1.2372881355932205e-05, + "loss": 0.5558, + "step": 223 + }, + { + "epoch": 0.02, + "learning_rate": 1.2429378531073449e-05, + "loss": 1.0926, + "step": 224 + }, + { + "epoch": 0.02, + "learning_rate": 1.2485875706214689e-05, + "loss": 1.0787, + "step": 225 + }, + { + "epoch": 0.02, + "learning_rate": 1.2542372881355932e-05, + "loss": 1.0949, + "step": 226 + }, + { + "epoch": 0.02, + "learning_rate": 1.2598870056497177e-05, + "loss": 1.1051, + "step": 227 + }, + { + "epoch": 0.02, + "learning_rate": 1.265536723163842e-05, + "loss": 1.1403, + "step": 228 + }, + { + "epoch": 0.02, + "learning_rate": 1.2711864406779661e-05, + "loss": 1.0802, + "step": 229 + }, + { + "epoch": 0.02, + "learning_rate": 1.2768361581920904e-05, + "loss": 1.0838, + "step": 230 + }, + { + "epoch": 0.02, + "learning_rate": 1.282485875706215e-05, + "loss": 1.0778, + "step": 231 + }, + { + "epoch": 0.02, + "learning_rate": 1.288135593220339e-05, + "loss": 1.0564, + "step": 232 + }, + { + "epoch": 0.02, + "learning_rate": 1.2937853107344633e-05, + "loss": 1.095, + "step": 233 + }, + { + "epoch": 0.02, + "learning_rate": 1.2994350282485876e-05, + "loss": 1.0425, + "step": 234 + }, + { + "epoch": 0.02, + "learning_rate": 1.305084745762712e-05, + "loss": 1.0842, + "step": 235 + }, + { + "epoch": 0.02, + "learning_rate": 1.3107344632768361e-05, + "loss": 1.0947, + "step": 236 + }, + { + "epoch": 0.02, + "learning_rate": 1.3163841807909605e-05, + "loss": 0.5516, + "step": 237 + }, + { + "epoch": 0.02, + "learning_rate": 1.3220338983050848e-05, + "loss": 1.0815, + "step": 238 + }, + { + "epoch": 0.02, + "learning_rate": 1.3276836158192092e-05, + "loss": 1.1223, + "step": 239 + }, + { + "epoch": 0.02, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.0786, + "step": 240 + }, + { + "epoch": 0.02, + "learning_rate": 1.3389830508474577e-05, + "loss": 1.1042, + "step": 241 + }, + { + "epoch": 0.02, + "learning_rate": 1.344632768361582e-05, + "loss": 1.0638, + "step": 242 + }, + { + "epoch": 0.02, + "learning_rate": 1.3502824858757064e-05, + "loss": 1.0566, + "step": 243 + }, + { + "epoch": 0.02, + "learning_rate": 1.3559322033898305e-05, + "loss": 1.1204, + "step": 244 + }, + { + "epoch": 0.02, + "learning_rate": 1.3615819209039549e-05, + "loss": 1.0594, + "step": 245 + }, + { + "epoch": 0.02, + "learning_rate": 1.3672316384180792e-05, + "loss": 1.1133, + "step": 246 + }, + { + "epoch": 0.02, + "learning_rate": 1.3728813559322034e-05, + "loss": 1.0688, + "step": 247 + }, + { + "epoch": 0.02, + "learning_rate": 1.3785310734463277e-05, + "loss": 1.0626, + "step": 248 + }, + { + "epoch": 0.02, + "learning_rate": 1.384180790960452e-05, + "loss": 1.0445, + "step": 249 + }, + { + "epoch": 0.02, + "learning_rate": 1.3898305084745764e-05, + "loss": 1.0019, + "step": 250 + }, + { + "epoch": 0.02, + "learning_rate": 1.3954802259887006e-05, + "loss": 1.0569, + "step": 251 + }, + { + "epoch": 0.02, + "learning_rate": 1.4011299435028249e-05, + "loss": 0.9842, + "step": 252 + }, + { + "epoch": 0.02, + "learning_rate": 1.4067796610169493e-05, + "loss": 1.1302, + "step": 253 + }, + { + "epoch": 0.02, + "learning_rate": 1.4124293785310736e-05, + "loss": 1.0732, + "step": 254 + }, + { + "epoch": 0.02, + "learning_rate": 1.4180790960451978e-05, + "loss": 1.1309, + "step": 255 + }, + { + "epoch": 0.02, + "learning_rate": 1.4237288135593221e-05, + "loss": 1.0745, + "step": 256 + }, + { + "epoch": 0.02, + "learning_rate": 1.4293785310734465e-05, + "loss": 1.0965, + "step": 257 + }, + { + "epoch": 0.02, + "learning_rate": 1.4350282485875708e-05, + "loss": 1.0768, + "step": 258 + }, + { + "epoch": 0.02, + "learning_rate": 1.440677966101695e-05, + "loss": 1.0765, + "step": 259 + }, + { + "epoch": 0.02, + "learning_rate": 1.4463276836158193e-05, + "loss": 1.0504, + "step": 260 + }, + { + "epoch": 0.02, + "learning_rate": 1.4519774011299436e-05, + "loss": 1.1123, + "step": 261 + }, + { + "epoch": 0.02, + "learning_rate": 1.4576271186440678e-05, + "loss": 1.059, + "step": 262 + }, + { + "epoch": 0.02, + "learning_rate": 1.4632768361581922e-05, + "loss": 1.0884, + "step": 263 + }, + { + "epoch": 0.02, + "learning_rate": 1.4689265536723165e-05, + "loss": 1.1305, + "step": 264 + }, + { + "epoch": 0.02, + "learning_rate": 1.4745762711864408e-05, + "loss": 1.1714, + "step": 265 + }, + { + "epoch": 0.02, + "learning_rate": 1.480225988700565e-05, + "loss": 1.0549, + "step": 266 + }, + { + "epoch": 0.02, + "learning_rate": 1.4858757062146894e-05, + "loss": 1.0536, + "step": 267 + }, + { + "epoch": 0.02, + "learning_rate": 1.4915254237288137e-05, + "loss": 1.0342, + "step": 268 + }, + { + "epoch": 0.02, + "learning_rate": 1.497175141242938e-05, + "loss": 1.0724, + "step": 269 + }, + { + "epoch": 0.02, + "learning_rate": 1.5028248587570622e-05, + "loss": 1.0713, + "step": 270 + }, + { + "epoch": 0.02, + "learning_rate": 1.5084745762711865e-05, + "loss": 1.0566, + "step": 271 + }, + { + "epoch": 0.02, + "learning_rate": 1.5141242937853109e-05, + "loss": 1.0664, + "step": 272 + }, + { + "epoch": 0.02, + "learning_rate": 1.5197740112994352e-05, + "loss": 1.0919, + "step": 273 + }, + { + "epoch": 0.02, + "learning_rate": 1.5254237288135594e-05, + "loss": 0.5584, + "step": 274 + }, + { + "epoch": 0.02, + "learning_rate": 1.5310734463276836e-05, + "loss": 1.0846, + "step": 275 + }, + { + "epoch": 0.02, + "learning_rate": 1.536723163841808e-05, + "loss": 1.0591, + "step": 276 + }, + { + "epoch": 0.02, + "learning_rate": 1.5423728813559326e-05, + "loss": 1.0922, + "step": 277 + }, + { + "epoch": 0.02, + "learning_rate": 1.5480225988700566e-05, + "loss": 1.0548, + "step": 278 + }, + { + "epoch": 0.02, + "learning_rate": 1.553672316384181e-05, + "loss": 1.067, + "step": 279 + }, + { + "epoch": 0.02, + "learning_rate": 1.5593220338983053e-05, + "loss": 1.0915, + "step": 280 + }, + { + "epoch": 0.02, + "learning_rate": 1.5649717514124293e-05, + "loss": 1.0437, + "step": 281 + }, + { + "epoch": 0.02, + "learning_rate": 1.5706214689265536e-05, + "loss": 1.1258, + "step": 282 + }, + { + "epoch": 0.02, + "learning_rate": 1.576271186440678e-05, + "loss": 1.0674, + "step": 283 + }, + { + "epoch": 0.02, + "learning_rate": 1.5819209039548023e-05, + "loss": 1.0187, + "step": 284 + }, + { + "epoch": 0.02, + "learning_rate": 1.5875706214689266e-05, + "loss": 1.0434, + "step": 285 + }, + { + "epoch": 0.02, + "learning_rate": 1.593220338983051e-05, + "loss": 1.0469, + "step": 286 + }, + { + "epoch": 0.02, + "learning_rate": 1.5988700564971753e-05, + "loss": 1.1379, + "step": 287 + }, + { + "epoch": 0.02, + "learning_rate": 1.6045197740112997e-05, + "loss": 1.1191, + "step": 288 + }, + { + "epoch": 0.02, + "learning_rate": 1.6101694915254237e-05, + "loss": 1.0815, + "step": 289 + }, + { + "epoch": 0.02, + "learning_rate": 1.615819209039548e-05, + "loss": 1.0651, + "step": 290 + }, + { + "epoch": 0.02, + "learning_rate": 1.6214689265536724e-05, + "loss": 1.0909, + "step": 291 + }, + { + "epoch": 0.02, + "learning_rate": 1.6271186440677967e-05, + "loss": 1.0566, + "step": 292 + }, + { + "epoch": 0.02, + "learning_rate": 1.632768361581921e-05, + "loss": 1.0849, + "step": 293 + }, + { + "epoch": 0.02, + "learning_rate": 1.6384180790960454e-05, + "loss": 1.0765, + "step": 294 + }, + { + "epoch": 0.03, + "learning_rate": 1.6440677966101697e-05, + "loss": 1.0622, + "step": 295 + }, + { + "epoch": 0.03, + "learning_rate": 1.6497175141242937e-05, + "loss": 1.0849, + "step": 296 + }, + { + "epoch": 0.03, + "learning_rate": 1.655367231638418e-05, + "loss": 1.0786, + "step": 297 + }, + { + "epoch": 0.03, + "learning_rate": 1.6610169491525424e-05, + "loss": 1.0492, + "step": 298 + }, + { + "epoch": 0.03, + "learning_rate": 1.6666666666666667e-05, + "loss": 1.0848, + "step": 299 + }, + { + "epoch": 0.03, + "learning_rate": 1.672316384180791e-05, + "loss": 1.0593, + "step": 300 + }, + { + "epoch": 0.03, + "learning_rate": 1.6779661016949154e-05, + "loss": 1.0638, + "step": 301 + }, + { + "epoch": 0.03, + "learning_rate": 1.6836158192090398e-05, + "loss": 1.0588, + "step": 302 + }, + { + "epoch": 0.03, + "learning_rate": 1.689265536723164e-05, + "loss": 0.6187, + "step": 303 + }, + { + "epoch": 0.03, + "learning_rate": 1.694915254237288e-05, + "loss": 1.0972, + "step": 304 + }, + { + "epoch": 0.03, + "learning_rate": 1.7005649717514125e-05, + "loss": 1.0878, + "step": 305 + }, + { + "epoch": 0.03, + "learning_rate": 1.7062146892655368e-05, + "loss": 1.1348, + "step": 306 + }, + { + "epoch": 0.03, + "learning_rate": 1.711864406779661e-05, + "loss": 1.0876, + "step": 307 + }, + { + "epoch": 0.03, + "learning_rate": 1.7175141242937855e-05, + "loss": 1.0901, + "step": 308 + }, + { + "epoch": 0.03, + "learning_rate": 1.7231638418079098e-05, + "loss": 1.0854, + "step": 309 + }, + { + "epoch": 0.03, + "learning_rate": 1.728813559322034e-05, + "loss": 1.098, + "step": 310 + }, + { + "epoch": 0.03, + "learning_rate": 1.734463276836158e-05, + "loss": 1.0851, + "step": 311 + }, + { + "epoch": 0.03, + "learning_rate": 1.7401129943502825e-05, + "loss": 1.0673, + "step": 312 + }, + { + "epoch": 0.03, + "learning_rate": 1.745762711864407e-05, + "loss": 1.0693, + "step": 313 + }, + { + "epoch": 0.03, + "learning_rate": 1.7514124293785312e-05, + "loss": 1.0784, + "step": 314 + }, + { + "epoch": 0.03, + "learning_rate": 1.7570621468926555e-05, + "loss": 1.0681, + "step": 315 + }, + { + "epoch": 0.03, + "learning_rate": 1.76271186440678e-05, + "loss": 1.0522, + "step": 316 + }, + { + "epoch": 0.03, + "learning_rate": 1.7683615819209042e-05, + "loss": 1.0305, + "step": 317 + }, + { + "epoch": 0.03, + "learning_rate": 1.7740112994350286e-05, + "loss": 1.0547, + "step": 318 + }, + { + "epoch": 0.03, + "learning_rate": 1.7796610169491526e-05, + "loss": 1.1239, + "step": 319 + }, + { + "epoch": 0.03, + "learning_rate": 1.785310734463277e-05, + "loss": 1.0379, + "step": 320 + }, + { + "epoch": 0.03, + "learning_rate": 1.7909604519774012e-05, + "loss": 1.0792, + "step": 321 + }, + { + "epoch": 0.03, + "learning_rate": 1.7966101694915256e-05, + "loss": 1.0776, + "step": 322 + }, + { + "epoch": 0.03, + "learning_rate": 1.80225988700565e-05, + "loss": 1.0039, + "step": 323 + }, + { + "epoch": 0.03, + "learning_rate": 1.8079096045197743e-05, + "loss": 1.0744, + "step": 324 + }, + { + "epoch": 0.03, + "learning_rate": 1.8135593220338986e-05, + "loss": 1.148, + "step": 325 + }, + { + "epoch": 0.03, + "learning_rate": 1.8192090395480226e-05, + "loss": 1.0888, + "step": 326 + }, + { + "epoch": 0.03, + "learning_rate": 1.824858757062147e-05, + "loss": 1.064, + "step": 327 + }, + { + "epoch": 0.03, + "learning_rate": 1.8305084745762713e-05, + "loss": 1.0411, + "step": 328 + }, + { + "epoch": 0.03, + "learning_rate": 1.8361581920903956e-05, + "loss": 1.0184, + "step": 329 + }, + { + "epoch": 0.03, + "learning_rate": 1.84180790960452e-05, + "loss": 1.0102, + "step": 330 + }, + { + "epoch": 0.03, + "learning_rate": 1.8474576271186443e-05, + "loss": 1.0799, + "step": 331 + }, + { + "epoch": 0.03, + "learning_rate": 1.8531073446327686e-05, + "loss": 1.0687, + "step": 332 + }, + { + "epoch": 0.03, + "learning_rate": 1.858757062146893e-05, + "loss": 1.0956, + "step": 333 + }, + { + "epoch": 0.03, + "learning_rate": 1.864406779661017e-05, + "loss": 1.0264, + "step": 334 + }, + { + "epoch": 0.03, + "learning_rate": 1.8700564971751413e-05, + "loss": 1.045, + "step": 335 + }, + { + "epoch": 0.03, + "learning_rate": 1.8757062146892657e-05, + "loss": 1.0962, + "step": 336 + }, + { + "epoch": 0.03, + "learning_rate": 1.88135593220339e-05, + "loss": 1.0917, + "step": 337 + }, + { + "epoch": 0.03, + "learning_rate": 1.8870056497175144e-05, + "loss": 1.0987, + "step": 338 + }, + { + "epoch": 0.03, + "learning_rate": 1.8926553672316387e-05, + "loss": 0.6663, + "step": 339 + }, + { + "epoch": 0.03, + "learning_rate": 1.898305084745763e-05, + "loss": 1.1022, + "step": 340 + }, + { + "epoch": 0.03, + "learning_rate": 1.9039548022598874e-05, + "loss": 1.1091, + "step": 341 + }, + { + "epoch": 0.03, + "learning_rate": 1.9096045197740114e-05, + "loss": 1.0293, + "step": 342 + }, + { + "epoch": 0.03, + "learning_rate": 1.9152542372881357e-05, + "loss": 1.0346, + "step": 343 + }, + { + "epoch": 0.03, + "learning_rate": 1.92090395480226e-05, + "loss": 1.0795, + "step": 344 + }, + { + "epoch": 0.03, + "learning_rate": 1.9265536723163844e-05, + "loss": 1.0589, + "step": 345 + }, + { + "epoch": 0.03, + "learning_rate": 1.9322033898305087e-05, + "loss": 0.965, + "step": 346 + }, + { + "epoch": 0.03, + "learning_rate": 1.937853107344633e-05, + "loss": 1.0633, + "step": 347 + }, + { + "epoch": 0.03, + "learning_rate": 1.9435028248587574e-05, + "loss": 1.089, + "step": 348 + }, + { + "epoch": 0.03, + "learning_rate": 1.9491525423728814e-05, + "loss": 1.0569, + "step": 349 + }, + { + "epoch": 0.03, + "learning_rate": 1.9548022598870058e-05, + "loss": 1.0143, + "step": 350 + }, + { + "epoch": 0.03, + "learning_rate": 1.96045197740113e-05, + "loss": 1.0031, + "step": 351 + }, + { + "epoch": 0.03, + "learning_rate": 1.9661016949152545e-05, + "loss": 1.1092, + "step": 352 + }, + { + "epoch": 0.03, + "learning_rate": 1.9717514124293785e-05, + "loss": 1.045, + "step": 353 + }, + { + "epoch": 0.03, + "learning_rate": 1.977401129943503e-05, + "loss": 1.0513, + "step": 354 + }, + { + "epoch": 0.03, + "learning_rate": 1.9830508474576275e-05, + "loss": 1.079, + "step": 355 + }, + { + "epoch": 0.03, + "learning_rate": 1.9887005649717518e-05, + "loss": 1.0976, + "step": 356 + }, + { + "epoch": 0.03, + "learning_rate": 1.9943502824858758e-05, + "loss": 1.071, + "step": 357 + }, + { + "epoch": 0.03, + "learning_rate": 2e-05, + "loss": 1.0709, + "step": 358 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999999623263108e-05, + "loss": 1.0333, + "step": 359 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999998493052454e-05, + "loss": 1.0459, + "step": 360 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999996609368124e-05, + "loss": 1.0746, + "step": 361 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999993972210264e-05, + "loss": 1.0524, + "step": 362 + }, + { + "epoch": 0.03, + "learning_rate": 1.999999058157907e-05, + "loss": 1.0903, + "step": 363 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999986437474797e-05, + "loss": 1.0662, + "step": 364 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999981539897757e-05, + "loss": 1.1022, + "step": 365 + }, + { + "epoch": 0.03, + "learning_rate": 1.999997588884832e-05, + "loss": 1.1023, + "step": 366 + }, + { + "epoch": 0.03, + "learning_rate": 1.999996948432691e-05, + "loss": 1.088, + "step": 367 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999962326334016e-05, + "loss": 1.0889, + "step": 368 + }, + { + "epoch": 0.03, + "learning_rate": 1.999995441487017e-05, + "loss": 1.0937, + "step": 369 + }, + { + "epoch": 0.03, + "learning_rate": 1.999994574993597e-05, + "loss": 1.0477, + "step": 370 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999936331532067e-05, + "loss": 1.006, + "step": 371 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999926159659177e-05, + "loss": 1.0754, + "step": 372 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999915234318064e-05, + "loss": 1.0625, + "step": 373 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999903555509546e-05, + "loss": 1.0489, + "step": 374 + }, + { + "epoch": 0.03, + "learning_rate": 1.999989112323451e-05, + "loss": 1.0609, + "step": 375 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999877937493886e-05, + "loss": 1.0695, + "step": 376 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999863998288675e-05, + "loss": 1.0851, + "step": 377 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999849305619918e-05, + "loss": 1.047, + "step": 378 + }, + { + "epoch": 0.03, + "learning_rate": 1.999983385948873e-05, + "loss": 1.0983, + "step": 379 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999817659896275e-05, + "loss": 1.0853, + "step": 380 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999800706843764e-05, + "loss": 1.1077, + "step": 381 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999783000332486e-05, + "loss": 1.0763, + "step": 382 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999764540363774e-05, + "loss": 1.0536, + "step": 383 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999745326939008e-05, + "loss": 0.5751, + "step": 384 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999725360059648e-05, + "loss": 1.0647, + "step": 385 + }, + { + "epoch": 0.03, + "learning_rate": 1.999970463972719e-05, + "loss": 1.0909, + "step": 386 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999683165943198e-05, + "loss": 1.0672, + "step": 387 + }, + { + "epoch": 0.03, + "learning_rate": 1.999966093870929e-05, + "loss": 1.0798, + "step": 388 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999637958027144e-05, + "loss": 1.0661, + "step": 389 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999614223898488e-05, + "loss": 1.0622, + "step": 390 + }, + { + "epoch": 0.03, + "learning_rate": 1.999958973632511e-05, + "loss": 1.0428, + "step": 391 + }, + { + "epoch": 0.03, + "learning_rate": 1.999956449530886e-05, + "loss": 1.0656, + "step": 392 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999538500851633e-05, + "loss": 1.0235, + "step": 393 + }, + { + "epoch": 0.03, + "learning_rate": 1.999951175295539e-05, + "loss": 1.0213, + "step": 394 + }, + { + "epoch": 0.03, + "learning_rate": 1.999948425162215e-05, + "loss": 1.065, + "step": 395 + }, + { + "epoch": 0.03, + "learning_rate": 1.999945599685398e-05, + "loss": 1.0584, + "step": 396 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999426988653012e-05, + "loss": 1.03, + "step": 397 + }, + { + "epoch": 0.03, + "learning_rate": 1.999939722702143e-05, + "loss": 1.0136, + "step": 398 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999366711961476e-05, + "loss": 1.0637, + "step": 399 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999335443475452e-05, + "loss": 0.9944, + "step": 400 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999303421565714e-05, + "loss": 1.1038, + "step": 401 + }, + { + "epoch": 0.03, + "learning_rate": 1.999927064623467e-05, + "loss": 1.0405, + "step": 402 + }, + { + "epoch": 0.03, + "learning_rate": 1.99992371174848e-05, + "loss": 1.0818, + "step": 403 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999202835318612e-05, + "loss": 1.0967, + "step": 404 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999167799738706e-05, + "loss": 1.0586, + "step": 405 + }, + { + "epoch": 0.03, + "learning_rate": 1.999913201074772e-05, + "loss": 1.081, + "step": 406 + }, + { + "epoch": 0.03, + "learning_rate": 1.999909546834834e-05, + "loss": 1.0303, + "step": 407 + }, + { + "epoch": 0.03, + "learning_rate": 1.999905817254333e-05, + "loss": 0.5156, + "step": 408 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999020123335496e-05, + "loss": 1.0676, + "step": 409 + }, + { + "epoch": 0.03, + "learning_rate": 1.99989813207277e-05, + "loss": 1.1222, + "step": 410 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998941764722874e-05, + "loss": 1.0905, + "step": 411 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998901455324e-05, + "loss": 1.061, + "step": 412 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998860392534105e-05, + "loss": 1.0458, + "step": 413 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998818576356286e-05, + "loss": 1.0309, + "step": 414 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998776006793702e-05, + "loss": 1.026, + "step": 415 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998732683849553e-05, + "loss": 1.0262, + "step": 416 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998688607527103e-05, + "loss": 1.1165, + "step": 417 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998643777829674e-05, + "loss": 1.0626, + "step": 418 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998598194760647e-05, + "loss": 1.0142, + "step": 419 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998551858323454e-05, + "loss": 1.0914, + "step": 420 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998504768521588e-05, + "loss": 1.0552, + "step": 421 + }, + { + "epoch": 0.04, + "learning_rate": 1.999845692535859e-05, + "loss": 1.0781, + "step": 422 + }, + { + "epoch": 0.04, + "learning_rate": 1.999840832883808e-05, + "loss": 1.0772, + "step": 423 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998358978963702e-05, + "loss": 1.0571, + "step": 424 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998308875739185e-05, + "loss": 1.0619, + "step": 425 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998258019168304e-05, + "loss": 1.0174, + "step": 426 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998206409254886e-05, + "loss": 1.0551, + "step": 427 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998154046002822e-05, + "loss": 1.0949, + "step": 428 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998100929416057e-05, + "loss": 1.062, + "step": 429 + }, + { + "epoch": 0.04, + "learning_rate": 1.99980470594986e-05, + "loss": 1.0468, + "step": 430 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997992436254496e-05, + "loss": 1.0408, + "step": 431 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997937059687872e-05, + "loss": 1.0688, + "step": 432 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997880929802895e-05, + "loss": 1.0601, + "step": 433 + }, + { + "epoch": 0.04, + "learning_rate": 1.99978240466038e-05, + "loss": 1.1193, + "step": 434 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997766410094868e-05, + "loss": 1.072, + "step": 435 + }, + { + "epoch": 0.04, + "learning_rate": 1.999770802028044e-05, + "loss": 1.0921, + "step": 436 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997648877164922e-05, + "loss": 1.0621, + "step": 437 + }, + { + "epoch": 0.04, + "learning_rate": 1.999758898075277e-05, + "loss": 1.033, + "step": 438 + }, + { + "epoch": 0.04, + "learning_rate": 1.999752833104849e-05, + "loss": 1.0302, + "step": 439 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997466928056653e-05, + "loss": 1.111, + "step": 440 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997404771781893e-05, + "loss": 1.0532, + "step": 441 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997341862228886e-05, + "loss": 0.9923, + "step": 442 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997278199402373e-05, + "loss": 1.0723, + "step": 443 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997213783307153e-05, + "loss": 0.9835, + "step": 444 + }, + { + "epoch": 0.04, + "learning_rate": 1.999714861394808e-05, + "loss": 1.0727, + "step": 445 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997082691330066e-05, + "loss": 1.1133, + "step": 446 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997016015458072e-05, + "loss": 1.0675, + "step": 447 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996948586337127e-05, + "loss": 0.5354, + "step": 448 + }, + { + "epoch": 0.04, + "learning_rate": 1.999688040397231e-05, + "loss": 1.038, + "step": 449 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996811468368757e-05, + "loss": 1.0724, + "step": 450 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996741779531665e-05, + "loss": 1.1259, + "step": 451 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996671337466283e-05, + "loss": 1.0334, + "step": 452 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996600142177917e-05, + "loss": 1.1036, + "step": 453 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996528193671936e-05, + "loss": 1.0457, + "step": 454 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996455491953755e-05, + "loss": 1.0244, + "step": 455 + }, + { + "epoch": 0.04, + "learning_rate": 1.999638203702886e-05, + "loss": 1.0518, + "step": 456 + }, + { + "epoch": 0.04, + "learning_rate": 1.999630782890278e-05, + "loss": 1.0434, + "step": 457 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996232867581104e-05, + "loss": 1.0507, + "step": 458 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996157153069485e-05, + "loss": 1.0705, + "step": 459 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996080685373628e-05, + "loss": 1.1014, + "step": 460 + }, + { + "epoch": 0.04, + "learning_rate": 1.999600346449929e-05, + "loss": 1.0923, + "step": 461 + }, + { + "epoch": 0.04, + "learning_rate": 1.999592549045229e-05, + "loss": 1.0507, + "step": 462 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995846763238514e-05, + "loss": 1.0351, + "step": 463 + }, + { + "epoch": 0.04, + "learning_rate": 1.999576728286388e-05, + "loss": 1.0741, + "step": 464 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995687049334384e-05, + "loss": 1.0912, + "step": 465 + }, + { + "epoch": 0.04, + "learning_rate": 1.999560606265607e-05, + "loss": 1.0557, + "step": 466 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995524322835035e-05, + "loss": 0.4436, + "step": 467 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995441829877444e-05, + "loss": 1.0802, + "step": 468 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995358583789514e-05, + "loss": 1.0843, + "step": 469 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995274584577512e-05, + "loss": 1.0583, + "step": 470 + }, + { + "epoch": 0.04, + "learning_rate": 1.999518983224777e-05, + "loss": 1.0456, + "step": 471 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995104326806675e-05, + "loss": 1.0826, + "step": 472 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995018068260667e-05, + "loss": 0.9886, + "step": 473 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994931056616247e-05, + "loss": 1.0827, + "step": 474 + }, + { + "epoch": 0.04, + "learning_rate": 1.999484329187997e-05, + "loss": 1.0309, + "step": 475 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994754774058448e-05, + "loss": 1.0912, + "step": 476 + }, + { + "epoch": 0.04, + "learning_rate": 1.999466550315835e-05, + "loss": 0.977, + "step": 477 + }, + { + "epoch": 0.04, + "learning_rate": 1.999457547918641e-05, + "loss": 0.9964, + "step": 478 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994484702149404e-05, + "loss": 1.0616, + "step": 479 + }, + { + "epoch": 0.04, + "learning_rate": 1.999439317205417e-05, + "loss": 1.0906, + "step": 480 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994300888907613e-05, + "loss": 1.0479, + "step": 481 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994207852716675e-05, + "loss": 1.0847, + "step": 482 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994114063488376e-05, + "loss": 1.0203, + "step": 483 + }, + { + "epoch": 0.04, + "learning_rate": 1.999401952122978e-05, + "loss": 0.5185, + "step": 484 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993924225948005e-05, + "loss": 1.038, + "step": 485 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993828177650237e-05, + "loss": 1.0459, + "step": 486 + }, + { + "epoch": 0.04, + "learning_rate": 1.999373137634371e-05, + "loss": 1.0757, + "step": 487 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993633822035722e-05, + "loss": 1.0546, + "step": 488 + }, + { + "epoch": 0.04, + "learning_rate": 1.999353551473362e-05, + "loss": 1.0503, + "step": 489 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993436454444814e-05, + "loss": 1.0369, + "step": 490 + }, + { + "epoch": 0.04, + "learning_rate": 1.999333664117676e-05, + "loss": 1.0724, + "step": 491 + }, + { + "epoch": 0.04, + "learning_rate": 1.999323607493699e-05, + "loss": 0.9663, + "step": 492 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993134755733075e-05, + "loss": 1.0565, + "step": 493 + }, + { + "epoch": 0.04, + "learning_rate": 1.999303268357265e-05, + "loss": 0.6354, + "step": 494 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992929858463405e-05, + "loss": 1.0902, + "step": 495 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992826280413087e-05, + "loss": 1.0731, + "step": 496 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992721949429503e-05, + "loss": 1.0365, + "step": 497 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992616865520515e-05, + "loss": 0.9726, + "step": 498 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992511028694036e-05, + "loss": 1.0588, + "step": 499 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992404438958046e-05, + "loss": 1.0466, + "step": 500 + }, + { + "epoch": 0.04, + "learning_rate": 1.999229709632057e-05, + "loss": 1.05, + "step": 501 + }, + { + "epoch": 0.04, + "learning_rate": 1.99921890007897e-05, + "loss": 1.0319, + "step": 502 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992080152373587e-05, + "loss": 1.074, + "step": 503 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991970551080417e-05, + "loss": 1.0596, + "step": 504 + }, + { + "epoch": 0.04, + "learning_rate": 1.999186019691846e-05, + "loss": 1.0303, + "step": 505 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991749089896028e-05, + "loss": 1.0774, + "step": 506 + }, + { + "epoch": 0.04, + "learning_rate": 1.999163723002149e-05, + "loss": 1.1106, + "step": 507 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991524617303282e-05, + "loss": 1.0546, + "step": 508 + }, + { + "epoch": 0.04, + "learning_rate": 1.999141125174988e-05, + "loss": 1.0215, + "step": 509 + }, + { + "epoch": 0.04, + "learning_rate": 1.999129713336983e-05, + "loss": 0.986, + "step": 510 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991182262171734e-05, + "loss": 0.5206, + "step": 511 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991066638164237e-05, + "loss": 1.0086, + "step": 512 + }, + { + "epoch": 0.04, + "learning_rate": 1.999095026135606e-05, + "loss": 1.0393, + "step": 513 + }, + { + "epoch": 0.04, + "learning_rate": 1.999083313175597e-05, + "loss": 1.04, + "step": 514 + }, + { + "epoch": 0.04, + "learning_rate": 1.999071524937279e-05, + "loss": 1.024, + "step": 515 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990596614215405e-05, + "loss": 1.076, + "step": 516 + }, + { + "epoch": 0.04, + "learning_rate": 1.999047722629275e-05, + "loss": 1.0663, + "step": 517 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990357085613828e-05, + "loss": 1.0686, + "step": 518 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990236192187682e-05, + "loss": 1.0202, + "step": 519 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990114546023423e-05, + "loss": 1.0583, + "step": 520 + }, + { + "epoch": 0.04, + "learning_rate": 1.998999214713022e-05, + "loss": 1.0406, + "step": 521 + }, + { + "epoch": 0.04, + "learning_rate": 1.99898689955173e-05, + "loss": 1.0374, + "step": 522 + }, + { + "epoch": 0.04, + "learning_rate": 1.998974509119393e-05, + "loss": 1.0352, + "step": 523 + }, + { + "epoch": 0.04, + "learning_rate": 1.998962043416946e-05, + "loss": 0.9724, + "step": 524 + }, + { + "epoch": 0.04, + "learning_rate": 1.998949502445327e-05, + "loss": 1.0618, + "step": 525 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989368862054814e-05, + "loss": 1.0165, + "step": 526 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989241946983598e-05, + "loss": 1.0205, + "step": 527 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989114279249185e-05, + "loss": 1.0276, + "step": 528 + }, + { + "epoch": 0.04, + "learning_rate": 1.9988985858861193e-05, + "loss": 1.0488, + "step": 529 + }, + { + "epoch": 0.04, + "learning_rate": 1.9988856685829303e-05, + "loss": 1.0586, + "step": 530 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988726760163246e-05, + "loss": 1.0137, + "step": 531 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988596081872805e-05, + "loss": 1.0239, + "step": 532 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988464650967834e-05, + "loss": 1.0274, + "step": 533 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988332467458233e-05, + "loss": 1.0067, + "step": 534 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988199531353963e-05, + "loss": 1.0892, + "step": 535 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988065842665036e-05, + "loss": 1.0683, + "step": 536 + }, + { + "epoch": 0.05, + "learning_rate": 1.998793140140153e-05, + "loss": 1.0445, + "step": 537 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987796207573573e-05, + "loss": 1.1172, + "step": 538 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987660261191353e-05, + "loss": 1.0047, + "step": 539 + }, + { + "epoch": 0.05, + "learning_rate": 1.998752356226511e-05, + "loss": 1.0378, + "step": 540 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987386110805146e-05, + "loss": 1.0527, + "step": 541 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987247906821817e-05, + "loss": 1.0506, + "step": 542 + }, + { + "epoch": 0.05, + "learning_rate": 1.998710895032554e-05, + "loss": 1.0758, + "step": 543 + }, + { + "epoch": 0.05, + "learning_rate": 1.998696924132678e-05, + "loss": 1.0232, + "step": 544 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986828779836065e-05, + "loss": 0.9947, + "step": 545 + }, + { + "epoch": 0.05, + "learning_rate": 1.998668756586398e-05, + "loss": 1.0602, + "step": 546 + }, + { + "epoch": 0.05, + "learning_rate": 1.998654559942116e-05, + "loss": 1.0727, + "step": 547 + }, + { + "epoch": 0.05, + "learning_rate": 1.998640288051831e-05, + "loss": 1.0543, + "step": 548 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986259409166177e-05, + "loss": 1.0338, + "step": 549 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986115185375576e-05, + "loss": 1.0643, + "step": 550 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985970209157367e-05, + "loss": 1.0515, + "step": 551 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985824480522482e-05, + "loss": 1.0657, + "step": 552 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985677999481898e-05, + "loss": 1.0341, + "step": 553 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985530766046646e-05, + "loss": 0.5395, + "step": 554 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985382780227826e-05, + "loss": 1.0485, + "step": 555 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985234042036588e-05, + "loss": 1.0223, + "step": 556 + }, + { + "epoch": 0.05, + "learning_rate": 1.998508455148414e-05, + "loss": 1.0085, + "step": 557 + }, + { + "epoch": 0.05, + "learning_rate": 1.998493430858174e-05, + "loss": 1.0614, + "step": 558 + }, + { + "epoch": 0.05, + "learning_rate": 1.9984783313340715e-05, + "loss": 1.0685, + "step": 559 + }, + { + "epoch": 0.05, + "learning_rate": 1.998463156577244e-05, + "loss": 1.1058, + "step": 560 + }, + { + "epoch": 0.05, + "learning_rate": 1.998447906588835e-05, + "loss": 1.0883, + "step": 561 + }, + { + "epoch": 0.05, + "learning_rate": 1.998432581369993e-05, + "loss": 1.0947, + "step": 562 + }, + { + "epoch": 0.05, + "learning_rate": 1.998417180921873e-05, + "loss": 1.0389, + "step": 563 + }, + { + "epoch": 0.05, + "learning_rate": 1.9984017052456358e-05, + "loss": 0.9766, + "step": 564 + }, + { + "epoch": 0.05, + "learning_rate": 1.9983861543424467e-05, + "loss": 1.0669, + "step": 565 + }, + { + "epoch": 0.05, + "learning_rate": 1.998370528213478e-05, + "loss": 1.0898, + "step": 566 + }, + { + "epoch": 0.05, + "learning_rate": 1.998354826859907e-05, + "loss": 1.0288, + "step": 567 + }, + { + "epoch": 0.05, + "learning_rate": 1.9983390502829168e-05, + "loss": 0.5078, + "step": 568 + }, + { + "epoch": 0.05, + "learning_rate": 1.9983231984836958e-05, + "loss": 1.0311, + "step": 569 + }, + { + "epoch": 0.05, + "learning_rate": 1.9983072714634385e-05, + "loss": 1.0349, + "step": 570 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982912692233455e-05, + "loss": 1.0993, + "step": 571 + }, + { + "epoch": 0.05, + "learning_rate": 1.998275191764622e-05, + "loss": 1.0268, + "step": 572 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982590390884787e-05, + "loss": 1.0891, + "step": 573 + }, + { + "epoch": 0.05, + "learning_rate": 1.998242811196134e-05, + "loss": 1.0376, + "step": 574 + }, + { + "epoch": 0.05, + "learning_rate": 1.99822650808881e-05, + "loss": 1.0216, + "step": 575 + }, + { + "epoch": 0.05, + "learning_rate": 1.998210129767735e-05, + "loss": 1.0348, + "step": 576 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981936762341438e-05, + "loss": 1.0466, + "step": 577 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981771474892752e-05, + "loss": 1.0509, + "step": 578 + }, + { + "epoch": 0.05, + "learning_rate": 1.998160543534375e-05, + "loss": 1.0185, + "step": 579 + }, + { + "epoch": 0.05, + "learning_rate": 1.998143864370694e-05, + "loss": 1.0545, + "step": 580 + }, + { + "epoch": 0.05, + "learning_rate": 1.998127109999489e-05, + "loss": 1.0176, + "step": 581 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981102804220232e-05, + "loss": 1.0216, + "step": 582 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980933756395635e-05, + "loss": 1.0284, + "step": 583 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980763956533842e-05, + "loss": 1.0428, + "step": 584 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980593404647646e-05, + "loss": 0.9525, + "step": 585 + }, + { + "epoch": 0.05, + "learning_rate": 1.99804221007499e-05, + "loss": 1.0202, + "step": 586 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980250044853507e-05, + "loss": 1.0226, + "step": 587 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980077236971435e-05, + "loss": 1.0784, + "step": 588 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979903677116705e-05, + "loss": 1.0413, + "step": 589 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979729365302387e-05, + "loss": 0.4222, + "step": 590 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979554301541624e-05, + "loss": 1.0466, + "step": 591 + }, + { + "epoch": 0.05, + "learning_rate": 1.99793784858476e-05, + "loss": 1.0385, + "step": 592 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979201918233567e-05, + "loss": 1.0232, + "step": 593 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979024598712827e-05, + "loss": 1.0437, + "step": 594 + }, + { + "epoch": 0.05, + "learning_rate": 1.997884652729874e-05, + "loss": 1.0334, + "step": 595 + }, + { + "epoch": 0.05, + "learning_rate": 1.997866770400472e-05, + "loss": 1.0301, + "step": 596 + }, + { + "epoch": 0.05, + "learning_rate": 1.997848812884425e-05, + "loss": 1.1003, + "step": 597 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978307801830855e-05, + "loss": 0.9672, + "step": 598 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978126722978117e-05, + "loss": 0.5348, + "step": 599 + }, + { + "epoch": 0.05, + "learning_rate": 1.997794489229969e-05, + "loss": 1.0484, + "step": 600 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977762309809266e-05, + "loss": 1.0705, + "step": 601 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977578975520605e-05, + "loss": 1.0408, + "step": 602 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977394889447526e-05, + "loss": 1.011, + "step": 603 + }, + { + "epoch": 0.05, + "learning_rate": 1.997721005160389e-05, + "loss": 1.0829, + "step": 604 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977024462003632e-05, + "loss": 1.0095, + "step": 605 + }, + { + "epoch": 0.05, + "learning_rate": 1.997683812066073e-05, + "loss": 1.0408, + "step": 606 + }, + { + "epoch": 0.05, + "learning_rate": 1.997665102758923e-05, + "loss": 1.0547, + "step": 607 + }, + { + "epoch": 0.05, + "learning_rate": 1.997646318280322e-05, + "loss": 0.9998, + "step": 608 + }, + { + "epoch": 0.05, + "learning_rate": 1.9976274586316866e-05, + "loss": 1.0595, + "step": 609 + }, + { + "epoch": 0.05, + "learning_rate": 1.997608523814437e-05, + "loss": 1.0377, + "step": 610 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975895138299998e-05, + "loss": 1.0693, + "step": 611 + }, + { + "epoch": 0.05, + "learning_rate": 1.997570428679808e-05, + "loss": 1.0768, + "step": 612 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975512683652985e-05, + "loss": 1.0581, + "step": 613 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975320328879163e-05, + "loss": 1.0339, + "step": 614 + }, + { + "epoch": 0.05, + "learning_rate": 1.99751272224911e-05, + "loss": 1.0206, + "step": 615 + }, + { + "epoch": 0.05, + "learning_rate": 1.9974933364503347e-05, + "loss": 1.0519, + "step": 616 + }, + { + "epoch": 0.05, + "learning_rate": 1.9974738754930512e-05, + "loss": 1.0032, + "step": 617 + }, + { + "epoch": 0.05, + "learning_rate": 1.997454339378726e-05, + "loss": 1.0485, + "step": 618 + }, + { + "epoch": 0.05, + "learning_rate": 1.9974347281088305e-05, + "loss": 1.085, + "step": 619 + }, + { + "epoch": 0.05, + "learning_rate": 1.997415041684843e-05, + "loss": 1.0478, + "step": 620 + }, + { + "epoch": 0.05, + "learning_rate": 1.997395280108246e-05, + "loss": 0.9971, + "step": 621 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973754433805294e-05, + "loss": 1.0781, + "step": 622 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973555315031873e-05, + "loss": 1.0528, + "step": 623 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973355444777205e-05, + "loss": 1.0658, + "step": 624 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973154823056343e-05, + "loss": 1.0133, + "step": 625 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972953449884407e-05, + "loss": 0.9848, + "step": 626 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972751325276568e-05, + "loss": 1.0058, + "step": 627 + }, + { + "epoch": 0.05, + "learning_rate": 1.997254844924806e-05, + "loss": 1.0194, + "step": 628 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972344821814163e-05, + "loss": 0.5743, + "step": 629 + }, + { + "epoch": 0.05, + "learning_rate": 1.997214044299023e-05, + "loss": 1.06, + "step": 630 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971935312791646e-05, + "loss": 1.0481, + "step": 631 + }, + { + "epoch": 0.05, + "learning_rate": 1.997172943123388e-05, + "loss": 1.0362, + "step": 632 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971522798332436e-05, + "loss": 1.045, + "step": 633 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971315414102886e-05, + "loss": 1.0265, + "step": 634 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971107278560857e-05, + "loss": 1.0538, + "step": 635 + }, + { + "epoch": 0.05, + "learning_rate": 1.997089839172203e-05, + "loss": 1.06, + "step": 636 + }, + { + "epoch": 0.05, + "learning_rate": 1.997068875360215e-05, + "loss": 1.0566, + "step": 637 + }, + { + "epoch": 0.05, + "learning_rate": 1.9970478364217e-05, + "loss": 1.0948, + "step": 638 + }, + { + "epoch": 0.05, + "learning_rate": 1.997026722358244e-05, + "loss": 1.0676, + "step": 639 + }, + { + "epoch": 0.05, + "learning_rate": 1.9970055331714383e-05, + "loss": 1.0243, + "step": 640 + }, + { + "epoch": 0.05, + "learning_rate": 1.9969842688628792e-05, + "loss": 1.0973, + "step": 641 + }, + { + "epoch": 0.05, + "learning_rate": 1.9969629294341685e-05, + "loss": 1.0175, + "step": 642 + }, + { + "epoch": 0.05, + "learning_rate": 1.996941514886914e-05, + "loss": 1.0229, + "step": 643 + }, + { + "epoch": 0.05, + "learning_rate": 1.9969200252227298e-05, + "loss": 0.9877, + "step": 644 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968984604432348e-05, + "loss": 0.9806, + "step": 645 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968768205500537e-05, + "loss": 1.0412, + "step": 646 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968551055448172e-05, + "loss": 1.0534, + "step": 647 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968333154291615e-05, + "loss": 1.0495, + "step": 648 + }, + { + "epoch": 0.06, + "learning_rate": 1.9968114502047285e-05, + "loss": 1.0306, + "step": 649 + }, + { + "epoch": 0.06, + "learning_rate": 1.9967895098731657e-05, + "loss": 1.0525, + "step": 650 + }, + { + "epoch": 0.06, + "learning_rate": 1.996767494436126e-05, + "loss": 1.0124, + "step": 651 + }, + { + "epoch": 0.06, + "learning_rate": 1.996745403895268e-05, + "loss": 1.0215, + "step": 652 + }, + { + "epoch": 0.06, + "learning_rate": 1.9967232382522564e-05, + "loss": 1.014, + "step": 653 + }, + { + "epoch": 0.06, + "learning_rate": 1.996700997508762e-05, + "loss": 0.5513, + "step": 654 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966786816664595e-05, + "loss": 1.0218, + "step": 655 + }, + { + "epoch": 0.06, + "learning_rate": 1.996656290727031e-05, + "loss": 1.0808, + "step": 656 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966338246921633e-05, + "loss": 1.0113, + "step": 657 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966112835635493e-05, + "loss": 1.046, + "step": 658 + }, + { + "epoch": 0.06, + "learning_rate": 1.996588667342888e-05, + "loss": 1.0271, + "step": 659 + }, + { + "epoch": 0.06, + "learning_rate": 1.9965659760318822e-05, + "loss": 1.0933, + "step": 660 + }, + { + "epoch": 0.06, + "learning_rate": 1.9965432096322423e-05, + "loss": 1.0607, + "step": 661 + }, + { + "epoch": 0.06, + "learning_rate": 1.996520368145684e-05, + "loss": 1.0588, + "step": 662 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964974515739275e-05, + "loss": 1.0145, + "step": 663 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964744599187006e-05, + "loss": 1.077, + "step": 664 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964513931817348e-05, + "loss": 1.043, + "step": 665 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964282513647686e-05, + "loss": 1.03, + "step": 666 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964050344695454e-05, + "loss": 1.0109, + "step": 667 + }, + { + "epoch": 0.06, + "learning_rate": 1.9963817424978144e-05, + "loss": 1.0118, + "step": 668 + }, + { + "epoch": 0.06, + "learning_rate": 1.996358375451331e-05, + "loss": 1.0627, + "step": 669 + }, + { + "epoch": 0.06, + "learning_rate": 1.9963349333318557e-05, + "loss": 0.9902, + "step": 670 + }, + { + "epoch": 0.06, + "learning_rate": 1.9963114161411544e-05, + "loss": 1.0167, + "step": 671 + }, + { + "epoch": 0.06, + "learning_rate": 1.996287823881e-05, + "loss": 1.0194, + "step": 672 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962641565531694e-05, + "loss": 1.0215, + "step": 673 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962404141594457e-05, + "loss": 1.0187, + "step": 674 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962165967016185e-05, + "loss": 1.0409, + "step": 675 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961927041814818e-05, + "loss": 0.9707, + "step": 676 + }, + { + "epoch": 0.06, + "learning_rate": 1.996168736600836e-05, + "loss": 1.0558, + "step": 677 + }, + { + "epoch": 0.06, + "learning_rate": 1.996144693961487e-05, + "loss": 1.0639, + "step": 678 + }, + { + "epoch": 0.06, + "learning_rate": 1.996120576265247e-05, + "loss": 1.0361, + "step": 679 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960963835139317e-05, + "loss": 1.0337, + "step": 680 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960721157093652e-05, + "loss": 1.0231, + "step": 681 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960477728533756e-05, + "loss": 1.0371, + "step": 682 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960233549477973e-05, + "loss": 0.9941, + "step": 683 + }, + { + "epoch": 0.06, + "learning_rate": 1.99599886199447e-05, + "loss": 0.9994, + "step": 684 + }, + { + "epoch": 0.06, + "learning_rate": 1.9959742939952393e-05, + "loss": 1.0727, + "step": 685 + }, + { + "epoch": 0.06, + "learning_rate": 1.995949650951956e-05, + "loss": 0.5474, + "step": 686 + }, + { + "epoch": 0.06, + "learning_rate": 1.995924932866477e-05, + "loss": 1.0363, + "step": 687 + }, + { + "epoch": 0.06, + "learning_rate": 1.995900139740665e-05, + "loss": 1.0634, + "step": 688 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958752715763875e-05, + "loss": 1.0128, + "step": 689 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958503283755194e-05, + "loss": 1.0912, + "step": 690 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958253101399388e-05, + "loss": 1.0186, + "step": 691 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958002168715312e-05, + "loss": 1.04, + "step": 692 + }, + { + "epoch": 0.06, + "learning_rate": 1.995775048572188e-05, + "loss": 1.04, + "step": 693 + }, + { + "epoch": 0.06, + "learning_rate": 1.9957498052438046e-05, + "loss": 1.041, + "step": 694 + }, + { + "epoch": 0.06, + "learning_rate": 1.9957244868882836e-05, + "loss": 0.9803, + "step": 695 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956990935075322e-05, + "loss": 1.0832, + "step": 696 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956736251034643e-05, + "loss": 1.0431, + "step": 697 + }, + { + "epoch": 0.06, + "learning_rate": 1.995648081677999e-05, + "loss": 1.0269, + "step": 698 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956224632330596e-05, + "loss": 1.0365, + "step": 699 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955967697705782e-05, + "loss": 1.0062, + "step": 700 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955710012924893e-05, + "loss": 0.9744, + "step": 701 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955451578007353e-05, + "loss": 1.0253, + "step": 702 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955192392972628e-05, + "loss": 1.0164, + "step": 703 + }, + { + "epoch": 0.06, + "learning_rate": 1.9954932457840256e-05, + "loss": 1.028, + "step": 704 + }, + { + "epoch": 0.06, + "learning_rate": 1.995467177262981e-05, + "loss": 0.5819, + "step": 705 + }, + { + "epoch": 0.06, + "learning_rate": 1.9954410337360945e-05, + "loss": 0.9718, + "step": 706 + }, + { + "epoch": 0.06, + "learning_rate": 1.995414815205335e-05, + "loss": 1.0621, + "step": 707 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953885216726788e-05, + "loss": 1.0281, + "step": 708 + }, + { + "epoch": 0.06, + "learning_rate": 1.995362153140106e-05, + "loss": 1.0435, + "step": 709 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953357096096047e-05, + "loss": 1.0669, + "step": 710 + }, + { + "epoch": 0.06, + "learning_rate": 1.995309191083166e-05, + "loss": 1.0328, + "step": 711 + }, + { + "epoch": 0.06, + "learning_rate": 1.995282597562789e-05, + "loss": 1.0208, + "step": 712 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952559290504773e-05, + "loss": 1.045, + "step": 713 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952291855482396e-05, + "loss": 0.9955, + "step": 714 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952023670580915e-05, + "loss": 1.0401, + "step": 715 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951754735820542e-05, + "loss": 1.0396, + "step": 716 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951485051221532e-05, + "loss": 1.0714, + "step": 717 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951214616804203e-05, + "loss": 1.0039, + "step": 718 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950943432588942e-05, + "loss": 0.9958, + "step": 719 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950671498596176e-05, + "loss": 1.0121, + "step": 720 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950398814846396e-05, + "loss": 1.0694, + "step": 721 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950125381360144e-05, + "loss": 0.9958, + "step": 722 + }, + { + "epoch": 0.06, + "learning_rate": 1.994985119815803e-05, + "loss": 1.0585, + "step": 723 + }, + { + "epoch": 0.06, + "learning_rate": 1.9949576265260708e-05, + "loss": 1.0642, + "step": 724 + }, + { + "epoch": 0.06, + "learning_rate": 1.994930058268889e-05, + "loss": 1.013, + "step": 725 + }, + { + "epoch": 0.06, + "learning_rate": 1.994902415046336e-05, + "loss": 1.0349, + "step": 726 + }, + { + "epoch": 0.06, + "learning_rate": 1.994874696860493e-05, + "loss": 1.0206, + "step": 727 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948469037134496e-05, + "loss": 1.0539, + "step": 728 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948190356073e-05, + "loss": 0.9972, + "step": 729 + }, + { + "epoch": 0.06, + "learning_rate": 1.9947910925441435e-05, + "loss": 1.0333, + "step": 730 + }, + { + "epoch": 0.06, + "learning_rate": 1.9947630745260855e-05, + "loss": 1.0026, + "step": 731 + }, + { + "epoch": 0.06, + "learning_rate": 1.9947349815552373e-05, + "loss": 0.9862, + "step": 732 + }, + { + "epoch": 0.06, + "learning_rate": 1.994706813633716e-05, + "loss": 1.0642, + "step": 733 + }, + { + "epoch": 0.06, + "learning_rate": 1.9946785707636436e-05, + "loss": 1.0332, + "step": 734 + }, + { + "epoch": 0.06, + "learning_rate": 1.9946502529471478e-05, + "loss": 1.066, + "step": 735 + }, + { + "epoch": 0.06, + "learning_rate": 1.9946218601863626e-05, + "loss": 0.9977, + "step": 736 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945933924834277e-05, + "loss": 0.9974, + "step": 737 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945648498404875e-05, + "loss": 0.9905, + "step": 738 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945362322596926e-05, + "loss": 1.0204, + "step": 739 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945075397431997e-05, + "loss": 1.0223, + "step": 740 + }, + { + "epoch": 0.06, + "learning_rate": 1.9944787722931704e-05, + "loss": 1.1003, + "step": 741 + }, + { + "epoch": 0.06, + "learning_rate": 1.9944499299117724e-05, + "loss": 1.0836, + "step": 742 + }, + { + "epoch": 0.06, + "learning_rate": 1.994421012601179e-05, + "loss": 1.0527, + "step": 743 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943920203635684e-05, + "loss": 1.0062, + "step": 744 + }, + { + "epoch": 0.06, + "learning_rate": 1.994362953201126e-05, + "loss": 0.9874, + "step": 745 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943338111160413e-05, + "loss": 0.9884, + "step": 746 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943045941105102e-05, + "loss": 1.0378, + "step": 747 + }, + { + "epoch": 0.06, + "learning_rate": 1.994275302186734e-05, + "loss": 1.0627, + "step": 748 + }, + { + "epoch": 0.06, + "learning_rate": 1.9942459353469202e-05, + "loss": 1.0396, + "step": 749 + }, + { + "epoch": 0.06, + "learning_rate": 1.9942164935932814e-05, + "loss": 1.0159, + "step": 750 + }, + { + "epoch": 0.06, + "learning_rate": 1.994186976928036e-05, + "loss": 1.0206, + "step": 751 + }, + { + "epoch": 0.06, + "learning_rate": 1.9941573853534076e-05, + "loss": 1.034, + "step": 752 + }, + { + "epoch": 0.06, + "learning_rate": 1.994127718871626e-05, + "loss": 0.9904, + "step": 753 + }, + { + "epoch": 0.06, + "learning_rate": 1.9940979774849264e-05, + "loss": 0.9958, + "step": 754 + }, + { + "epoch": 0.06, + "learning_rate": 1.9940681611955502e-05, + "loss": 0.9746, + "step": 755 + }, + { + "epoch": 0.06, + "learning_rate": 1.9940382700057437e-05, + "loss": 1.0263, + "step": 756 + }, + { + "epoch": 0.06, + "learning_rate": 1.9940083039177594e-05, + "loss": 0.9988, + "step": 757 + }, + { + "epoch": 0.06, + "learning_rate": 1.9939782629338543e-05, + "loss": 1.0254, + "step": 758 + }, + { + "epoch": 0.06, + "learning_rate": 1.993948147056293e-05, + "loss": 1.0462, + "step": 759 + }, + { + "epoch": 0.06, + "learning_rate": 1.9939179562873437e-05, + "loss": 1.04, + "step": 760 + }, + { + "epoch": 0.06, + "learning_rate": 1.993887690629282e-05, + "loss": 1.0441, + "step": 761 + }, + { + "epoch": 0.06, + "learning_rate": 1.993857350084388e-05, + "loss": 1.0228, + "step": 762 + }, + { + "epoch": 0.06, + "learning_rate": 1.9938269346549473e-05, + "loss": 1.042, + "step": 763 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937964443432528e-05, + "loss": 1.0102, + "step": 764 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937658791516005e-05, + "loss": 0.9477, + "step": 765 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937352390822945e-05, + "loss": 1.002, + "step": 766 + }, + { + "epoch": 0.07, + "learning_rate": 1.9937045241376426e-05, + "loss": 1.0313, + "step": 767 + }, + { + "epoch": 0.07, + "learning_rate": 1.9936737343199596e-05, + "loss": 0.9864, + "step": 768 + }, + { + "epoch": 0.07, + "learning_rate": 1.9936428696315656e-05, + "loss": 1.0512, + "step": 769 + }, + { + "epoch": 0.07, + "learning_rate": 1.993611930074786e-05, + "loss": 1.0286, + "step": 770 + }, + { + "epoch": 0.07, + "learning_rate": 1.9935809156519513e-05, + "loss": 1.0028, + "step": 771 + }, + { + "epoch": 0.07, + "learning_rate": 1.9935498263653994e-05, + "loss": 1.0055, + "step": 772 + }, + { + "epoch": 0.07, + "learning_rate": 1.9935186622174723e-05, + "loss": 1.0679, + "step": 773 + }, + { + "epoch": 0.07, + "learning_rate": 1.993487423210518e-05, + "loss": 1.0851, + "step": 774 + }, + { + "epoch": 0.07, + "learning_rate": 1.993456109346891e-05, + "loss": 1.0014, + "step": 775 + }, + { + "epoch": 0.07, + "learning_rate": 1.9934247206289496e-05, + "loss": 0.9836, + "step": 776 + }, + { + "epoch": 0.07, + "learning_rate": 1.99339325705906e-05, + "loss": 1.0299, + "step": 777 + }, + { + "epoch": 0.07, + "learning_rate": 1.9933617186395917e-05, + "loss": 1.0463, + "step": 778 + }, + { + "epoch": 0.07, + "learning_rate": 1.9933301053729225e-05, + "loss": 1.001, + "step": 779 + }, + { + "epoch": 0.07, + "learning_rate": 1.993298417261433e-05, + "loss": 1.0779, + "step": 780 + }, + { + "epoch": 0.07, + "learning_rate": 1.9932666543075113e-05, + "loss": 1.0371, + "step": 781 + }, + { + "epoch": 0.07, + "learning_rate": 1.9932348165135507e-05, + "loss": 1.0389, + "step": 782 + }, + { + "epoch": 0.07, + "learning_rate": 1.9932029038819507e-05, + "loss": 0.9969, + "step": 783 + }, + { + "epoch": 0.07, + "learning_rate": 1.993170916415115e-05, + "loss": 1.0142, + "step": 784 + }, + { + "epoch": 0.07, + "learning_rate": 1.993138854115454e-05, + "loss": 1.0253, + "step": 785 + }, + { + "epoch": 0.07, + "learning_rate": 1.9931067169853836e-05, + "loss": 0.9993, + "step": 786 + }, + { + "epoch": 0.07, + "learning_rate": 1.993074505027325e-05, + "loss": 1.03, + "step": 787 + }, + { + "epoch": 0.07, + "learning_rate": 1.9930422182437058e-05, + "loss": 1.0482, + "step": 788 + }, + { + "epoch": 0.07, + "learning_rate": 1.9930098566369582e-05, + "loss": 1.0111, + "step": 789 + }, + { + "epoch": 0.07, + "learning_rate": 1.992977420209521e-05, + "loss": 1.0297, + "step": 790 + }, + { + "epoch": 0.07, + "learning_rate": 1.9929449089638376e-05, + "loss": 1.0679, + "step": 791 + }, + { + "epoch": 0.07, + "learning_rate": 1.9929123229023582e-05, + "loss": 1.0229, + "step": 792 + }, + { + "epoch": 0.07, + "learning_rate": 1.9928796620275377e-05, + "loss": 1.0328, + "step": 793 + }, + { + "epoch": 0.07, + "learning_rate": 1.9928469263418376e-05, + "loss": 1.0156, + "step": 794 + }, + { + "epoch": 0.07, + "learning_rate": 1.9928141158477237e-05, + "loss": 0.9807, + "step": 795 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927812305476685e-05, + "loss": 1.1106, + "step": 796 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927482704441503e-05, + "loss": 1.0423, + "step": 797 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927152355396515e-05, + "loss": 0.9698, + "step": 798 + }, + { + "epoch": 0.07, + "learning_rate": 1.9926821258366622e-05, + "loss": 0.9815, + "step": 799 + }, + { + "epoch": 0.07, + "learning_rate": 1.9926489413376767e-05, + "loss": 1.0281, + "step": 800 + }, + { + "epoch": 0.07, + "learning_rate": 1.992615682045195e-05, + "loss": 1.0184, + "step": 801 + }, + { + "epoch": 0.07, + "learning_rate": 1.9925823479617242e-05, + "loss": 1.0114, + "step": 802 + }, + { + "epoch": 0.07, + "learning_rate": 1.9925489390897744e-05, + "loss": 1.0628, + "step": 803 + }, + { + "epoch": 0.07, + "learning_rate": 1.9925154554318643e-05, + "loss": 1.0238, + "step": 804 + }, + { + "epoch": 0.07, + "learning_rate": 1.992481896990516e-05, + "loss": 1.0603, + "step": 805 + }, + { + "epoch": 0.07, + "learning_rate": 1.9924482637682584e-05, + "loss": 1.0468, + "step": 806 + }, + { + "epoch": 0.07, + "learning_rate": 1.9924145557676255e-05, + "loss": 1.0167, + "step": 807 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923807729911567e-05, + "loss": 1.0385, + "step": 808 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923469154413983e-05, + "loss": 1.0609, + "step": 809 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923129831209008e-05, + "loss": 1.0253, + "step": 810 + }, + { + "epoch": 0.07, + "learning_rate": 1.9922789760322213e-05, + "loss": 1.0239, + "step": 811 + }, + { + "epoch": 0.07, + "learning_rate": 1.9922448941779216e-05, + "loss": 1.047, + "step": 812 + }, + { + "epoch": 0.07, + "learning_rate": 1.99221073756057e-05, + "loss": 1.0111, + "step": 813 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921765061827405e-05, + "loss": 0.5475, + "step": 814 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921422000470116e-05, + "loss": 1.0487, + "step": 815 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921078191559684e-05, + "loss": 1.0429, + "step": 816 + }, + { + "epoch": 0.07, + "learning_rate": 1.992073363512202e-05, + "loss": 1.093, + "step": 817 + }, + { + "epoch": 0.07, + "learning_rate": 1.9920388331183076e-05, + "loss": 1.0489, + "step": 818 + }, + { + "epoch": 0.07, + "learning_rate": 1.9920042279768878e-05, + "loss": 1.0474, + "step": 819 + }, + { + "epoch": 0.07, + "learning_rate": 1.991969548090549e-05, + "loss": 1.0458, + "step": 820 + }, + { + "epoch": 0.07, + "learning_rate": 1.9919347934619057e-05, + "loss": 0.9785, + "step": 821 + }, + { + "epoch": 0.07, + "learning_rate": 1.9918999640935754e-05, + "loss": 1.0501, + "step": 822 + }, + { + "epoch": 0.07, + "learning_rate": 1.9918650599881828e-05, + "loss": 1.0096, + "step": 823 + }, + { + "epoch": 0.07, + "learning_rate": 1.9918300811483576e-05, + "loss": 0.9792, + "step": 824 + }, + { + "epoch": 0.07, + "learning_rate": 1.991795027576736e-05, + "loss": 1.0114, + "step": 825 + }, + { + "epoch": 0.07, + "learning_rate": 1.9917598992759587e-05, + "loss": 1.0051, + "step": 826 + }, + { + "epoch": 0.07, + "learning_rate": 1.991724696248672e-05, + "loss": 0.9995, + "step": 827 + }, + { + "epoch": 0.07, + "learning_rate": 1.9916894184975298e-05, + "loss": 1.0508, + "step": 828 + }, + { + "epoch": 0.07, + "learning_rate": 1.9916540660251887e-05, + "loss": 0.9941, + "step": 829 + }, + { + "epoch": 0.07, + "learning_rate": 1.991618638834313e-05, + "loss": 0.9574, + "step": 830 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915831369275724e-05, + "loss": 1.0083, + "step": 831 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915475603076414e-05, + "loss": 0.9835, + "step": 832 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915119089772008e-05, + "loss": 1.0386, + "step": 833 + }, + { + "epoch": 0.07, + "learning_rate": 1.991476182938937e-05, + "loss": 1.0451, + "step": 834 + }, + { + "epoch": 0.07, + "learning_rate": 1.9914403821955414e-05, + "loss": 1.0476, + "step": 835 + }, + { + "epoch": 0.07, + "learning_rate": 1.9914045067497117e-05, + "loss": 1.0025, + "step": 836 + }, + { + "epoch": 0.07, + "learning_rate": 1.9913685566041515e-05, + "loss": 0.9761, + "step": 837 + }, + { + "epoch": 0.07, + "learning_rate": 1.9913325317615684e-05, + "loss": 1.0915, + "step": 838 + }, + { + "epoch": 0.07, + "learning_rate": 1.9912964322246782e-05, + "loss": 1.0174, + "step": 839 + }, + { + "epoch": 0.07, + "learning_rate": 1.9912602579962e-05, + "loss": 1.0199, + "step": 840 + }, + { + "epoch": 0.07, + "learning_rate": 1.9912240090788595e-05, + "loss": 1.0099, + "step": 841 + }, + { + "epoch": 0.07, + "learning_rate": 1.9911876854753882e-05, + "loss": 1.0148, + "step": 842 + }, + { + "epoch": 0.07, + "learning_rate": 1.991151287188523e-05, + "loss": 1.0299, + "step": 843 + }, + { + "epoch": 0.07, + "learning_rate": 1.991114814221006e-05, + "loss": 0.9914, + "step": 844 + }, + { + "epoch": 0.07, + "learning_rate": 1.9910782665755862e-05, + "loss": 1.0374, + "step": 845 + }, + { + "epoch": 0.07, + "learning_rate": 1.9910416442550163e-05, + "loss": 1.0045, + "step": 846 + }, + { + "epoch": 0.07, + "learning_rate": 1.9910049472620564e-05, + "loss": 1.0098, + "step": 847 + }, + { + "epoch": 0.07, + "learning_rate": 1.990968175599471e-05, + "loss": 1.0398, + "step": 848 + }, + { + "epoch": 0.07, + "learning_rate": 1.9909313292700317e-05, + "loss": 0.9788, + "step": 849 + }, + { + "epoch": 0.07, + "learning_rate": 1.990894408276514e-05, + "loss": 1.0246, + "step": 850 + }, + { + "epoch": 0.07, + "learning_rate": 1.9908574126216996e-05, + "loss": 1.0593, + "step": 851 + }, + { + "epoch": 0.07, + "learning_rate": 1.9908203423083767e-05, + "loss": 1.0589, + "step": 852 + }, + { + "epoch": 0.07, + "learning_rate": 1.9907831973393377e-05, + "loss": 1.028, + "step": 853 + }, + { + "epoch": 0.07, + "learning_rate": 1.9907459777173827e-05, + "loss": 1.0248, + "step": 854 + }, + { + "epoch": 0.07, + "learning_rate": 1.9907086834453146e-05, + "loss": 0.9791, + "step": 855 + }, + { + "epoch": 0.07, + "learning_rate": 1.990671314525944e-05, + "loss": 1.0033, + "step": 856 + }, + { + "epoch": 0.07, + "learning_rate": 1.9906338709620866e-05, + "loss": 0.9721, + "step": 857 + }, + { + "epoch": 0.07, + "learning_rate": 1.9905963527565636e-05, + "loss": 0.5433, + "step": 858 + }, + { + "epoch": 0.07, + "learning_rate": 1.9905587599122022e-05, + "loss": 1.0488, + "step": 859 + }, + { + "epoch": 0.07, + "learning_rate": 1.990521092431835e-05, + "loss": 1.0574, + "step": 860 + }, + { + "epoch": 0.07, + "learning_rate": 1.9904833503182992e-05, + "loss": 1.0246, + "step": 861 + }, + { + "epoch": 0.07, + "learning_rate": 1.9904455335744395e-05, + "loss": 1.0602, + "step": 862 + }, + { + "epoch": 0.07, + "learning_rate": 1.9904076422031048e-05, + "loss": 0.9603, + "step": 863 + }, + { + "epoch": 0.07, + "learning_rate": 1.9903696762071504e-05, + "loss": 1.0255, + "step": 864 + }, + { + "epoch": 0.07, + "learning_rate": 1.990331635589437e-05, + "loss": 1.0468, + "step": 865 + }, + { + "epoch": 0.07, + "learning_rate": 1.9902935203528307e-05, + "loss": 1.0463, + "step": 866 + }, + { + "epoch": 0.07, + "learning_rate": 1.9902553305002032e-05, + "loss": 1.0379, + "step": 867 + }, + { + "epoch": 0.07, + "learning_rate": 1.9902170660344323e-05, + "loss": 0.9861, + "step": 868 + }, + { + "epoch": 0.07, + "learning_rate": 1.9901787269584008e-05, + "loss": 1.0351, + "step": 869 + }, + { + "epoch": 0.07, + "learning_rate": 1.990140313274998e-05, + "loss": 0.9802, + "step": 870 + }, + { + "epoch": 0.07, + "learning_rate": 1.990101824987118e-05, + "loss": 1.0417, + "step": 871 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900632620976603e-05, + "loss": 1.0262, + "step": 872 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900246246095315e-05, + "loss": 1.0252, + "step": 873 + }, + { + "epoch": 0.07, + "learning_rate": 1.9899859125256417e-05, + "loss": 1.0149, + "step": 874 + }, + { + "epoch": 0.07, + "learning_rate": 1.9899471258489087e-05, + "loss": 1.0221, + "step": 875 + }, + { + "epoch": 0.07, + "learning_rate": 1.9899082645822545e-05, + "loss": 1.0577, + "step": 876 + }, + { + "epoch": 0.07, + "learning_rate": 1.989869328728607e-05, + "loss": 0.9745, + "step": 877 + }, + { + "epoch": 0.07, + "learning_rate": 1.989830318290901e-05, + "loss": 1.024, + "step": 878 + }, + { + "epoch": 0.07, + "learning_rate": 1.9897912332720743e-05, + "loss": 0.9968, + "step": 879 + }, + { + "epoch": 0.07, + "learning_rate": 1.989752073675073e-05, + "loss": 1.0228, + "step": 880 + }, + { + "epoch": 0.07, + "learning_rate": 1.989712839502847e-05, + "loss": 1.0632, + "step": 881 + }, + { + "epoch": 0.07, + "learning_rate": 1.9896735307583533e-05, + "loss": 1.0357, + "step": 882 + }, + { + "epoch": 0.07, + "learning_rate": 1.9896341474445526e-05, + "loss": 1.0013, + "step": 883 + }, + { + "epoch": 0.07, + "learning_rate": 1.989594689564413e-05, + "loss": 1.0493, + "step": 884 + }, + { + "epoch": 0.08, + "learning_rate": 1.9895551571209078e-05, + "loss": 1.0499, + "step": 885 + }, + { + "epoch": 0.08, + "learning_rate": 1.9895155501170153e-05, + "loss": 0.9342, + "step": 886 + }, + { + "epoch": 0.08, + "learning_rate": 1.989475868555719e-05, + "loss": 0.9991, + "step": 887 + }, + { + "epoch": 0.08, + "learning_rate": 1.9894361124400104e-05, + "loss": 1.0327, + "step": 888 + }, + { + "epoch": 0.08, + "learning_rate": 1.9893962817728842e-05, + "loss": 1.0211, + "step": 889 + }, + { + "epoch": 0.08, + "learning_rate": 1.9893563765573414e-05, + "loss": 1.0425, + "step": 890 + }, + { + "epoch": 0.08, + "learning_rate": 1.989316396796389e-05, + "loss": 1.0224, + "step": 891 + }, + { + "epoch": 0.08, + "learning_rate": 1.989276342493039e-05, + "loss": 0.9579, + "step": 892 + }, + { + "epoch": 0.08, + "learning_rate": 1.9892362136503102e-05, + "loss": 1.0518, + "step": 893 + }, + { + "epoch": 0.08, + "learning_rate": 1.989196010271225e-05, + "loss": 1.058, + "step": 894 + }, + { + "epoch": 0.08, + "learning_rate": 1.989155732358814e-05, + "loss": 1.0556, + "step": 895 + }, + { + "epoch": 0.08, + "learning_rate": 1.989115379916111e-05, + "loss": 1.0568, + "step": 896 + }, + { + "epoch": 0.08, + "learning_rate": 1.989074952946157e-05, + "loss": 0.9964, + "step": 897 + }, + { + "epoch": 0.08, + "learning_rate": 1.9890344514519974e-05, + "loss": 1.0236, + "step": 898 + }, + { + "epoch": 0.08, + "learning_rate": 1.9889938754366843e-05, + "loss": 1.0069, + "step": 899 + }, + { + "epoch": 0.08, + "learning_rate": 1.9889532249032756e-05, + "loss": 1.031, + "step": 900 + }, + { + "epoch": 0.08, + "learning_rate": 1.9889124998548332e-05, + "loss": 0.9816, + "step": 901 + }, + { + "epoch": 0.08, + "learning_rate": 1.988871700294426e-05, + "loss": 1.023, + "step": 902 + }, + { + "epoch": 0.08, + "learning_rate": 1.9888308262251286e-05, + "loss": 1.0091, + "step": 903 + }, + { + "epoch": 0.08, + "learning_rate": 1.9887898776500203e-05, + "loss": 0.5949, + "step": 904 + }, + { + "epoch": 0.08, + "learning_rate": 1.9887488545721864e-05, + "loss": 0.9978, + "step": 905 + }, + { + "epoch": 0.08, + "learning_rate": 1.988707756994718e-05, + "loss": 1.0286, + "step": 906 + }, + { + "epoch": 0.08, + "learning_rate": 1.9886665849207116e-05, + "loss": 1.0747, + "step": 907 + }, + { + "epoch": 0.08, + "learning_rate": 1.9886253383532698e-05, + "loss": 1.0318, + "step": 908 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885840172954998e-05, + "loss": 1.0479, + "step": 909 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885426217505154e-05, + "loss": 1.0235, + "step": 910 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885011517214357e-05, + "loss": 1.0407, + "step": 911 + }, + { + "epoch": 0.08, + "learning_rate": 1.9884596072113856e-05, + "loss": 1.0886, + "step": 912 + }, + { + "epoch": 0.08, + "learning_rate": 1.9884179882234946e-05, + "loss": 1.0164, + "step": 913 + }, + { + "epoch": 0.08, + "learning_rate": 1.9883762947608993e-05, + "loss": 1.0392, + "step": 914 + }, + { + "epoch": 0.08, + "learning_rate": 1.9883345268267406e-05, + "loss": 1.0041, + "step": 915 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882926844241662e-05, + "loss": 0.9829, + "step": 916 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882507675563284e-05, + "loss": 1.009, + "step": 917 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882087762263857e-05, + "loss": 1.0359, + "step": 918 + }, + { + "epoch": 0.08, + "learning_rate": 1.9881667104375018e-05, + "loss": 1.0627, + "step": 919 + }, + { + "epoch": 0.08, + "learning_rate": 1.9881245701928467e-05, + "loss": 0.982, + "step": 920 + }, + { + "epoch": 0.08, + "learning_rate": 1.9880823554955954e-05, + "loss": 1.0027, + "step": 921 + }, + { + "epoch": 0.08, + "learning_rate": 1.988040066348928e-05, + "loss": 0.9959, + "step": 922 + }, + { + "epoch": 0.08, + "learning_rate": 1.9879977027560317e-05, + "loss": 1.0244, + "step": 923 + }, + { + "epoch": 0.08, + "learning_rate": 1.9879552647200982e-05, + "loss": 1.0512, + "step": 924 + }, + { + "epoch": 0.08, + "learning_rate": 1.9879127522443255e-05, + "loss": 1.0167, + "step": 925 + }, + { + "epoch": 0.08, + "learning_rate": 1.9878701653319164e-05, + "loss": 1.0268, + "step": 926 + }, + { + "epoch": 0.08, + "learning_rate": 1.9878275039860795e-05, + "loss": 1.0501, + "step": 927 + }, + { + "epoch": 0.08, + "learning_rate": 1.9877847682100294e-05, + "loss": 0.9778, + "step": 928 + }, + { + "epoch": 0.08, + "learning_rate": 1.9877419580069862e-05, + "loss": 0.5061, + "step": 929 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876990733801755e-05, + "loss": 1.0219, + "step": 930 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876561143328287e-05, + "loss": 1.0184, + "step": 931 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876130808681826e-05, + "loss": 0.9815, + "step": 932 + }, + { + "epoch": 0.08, + "learning_rate": 1.9875699729894797e-05, + "loss": 0.9943, + "step": 933 + }, + { + "epoch": 0.08, + "learning_rate": 1.9875267906999674e-05, + "loss": 1.0505, + "step": 934 + }, + { + "epoch": 0.08, + "learning_rate": 1.9874835340029004e-05, + "loss": 0.9969, + "step": 935 + }, + { + "epoch": 0.08, + "learning_rate": 1.9874402029015374e-05, + "loss": 1.0411, + "step": 936 + }, + { + "epoch": 0.08, + "learning_rate": 1.9873967973991432e-05, + "loss": 1.0704, + "step": 937 + }, + { + "epoch": 0.08, + "learning_rate": 1.9873533174989884e-05, + "loss": 1.0367, + "step": 938 + }, + { + "epoch": 0.08, + "learning_rate": 1.9873097632043493e-05, + "loss": 1.0093, + "step": 939 + }, + { + "epoch": 0.08, + "learning_rate": 1.9872661345185076e-05, + "loss": 0.628, + "step": 940 + }, + { + "epoch": 0.08, + "learning_rate": 1.9872224314447502e-05, + "loss": 0.9829, + "step": 941 + }, + { + "epoch": 0.08, + "learning_rate": 1.9871786539863706e-05, + "loss": 1.0134, + "step": 942 + }, + { + "epoch": 0.08, + "learning_rate": 1.9871348021466673e-05, + "loss": 1.0635, + "step": 943 + }, + { + "epoch": 0.08, + "learning_rate": 1.9870908759289436e-05, + "loss": 0.992, + "step": 944 + }, + { + "epoch": 0.08, + "learning_rate": 1.9870468753365098e-05, + "loss": 1.0198, + "step": 945 + }, + { + "epoch": 0.08, + "learning_rate": 1.987002800372681e-05, + "loss": 0.9933, + "step": 946 + }, + { + "epoch": 0.08, + "learning_rate": 1.986958651040779e-05, + "loss": 1.0698, + "step": 947 + }, + { + "epoch": 0.08, + "learning_rate": 1.986914427344129e-05, + "loss": 1.0446, + "step": 948 + }, + { + "epoch": 0.08, + "learning_rate": 1.986870129286064e-05, + "loss": 1.0373, + "step": 949 + }, + { + "epoch": 0.08, + "learning_rate": 1.9868257568699215e-05, + "loss": 1.0435, + "step": 950 + }, + { + "epoch": 0.08, + "learning_rate": 1.986781310099045e-05, + "loss": 0.9966, + "step": 951 + }, + { + "epoch": 0.08, + "learning_rate": 1.986736788976783e-05, + "loss": 0.9838, + "step": 952 + }, + { + "epoch": 0.08, + "learning_rate": 1.9866921935064907e-05, + "loss": 0.5514, + "step": 953 + }, + { + "epoch": 0.08, + "learning_rate": 1.986647523691528e-05, + "loss": 0.9973, + "step": 954 + }, + { + "epoch": 0.08, + "learning_rate": 1.9866027795352604e-05, + "loss": 1.041, + "step": 955 + }, + { + "epoch": 0.08, + "learning_rate": 1.9865579610410595e-05, + "loss": 1.0209, + "step": 956 + }, + { + "epoch": 0.08, + "learning_rate": 1.986513068212302e-05, + "loss": 1.0367, + "step": 957 + }, + { + "epoch": 0.08, + "learning_rate": 1.986468101052371e-05, + "loss": 0.9983, + "step": 958 + }, + { + "epoch": 0.08, + "learning_rate": 1.9864230595646542e-05, + "loss": 1.0586, + "step": 959 + }, + { + "epoch": 0.08, + "learning_rate": 1.9863779437525454e-05, + "loss": 1.0577, + "step": 960 + }, + { + "epoch": 0.08, + "learning_rate": 1.9863327536194438e-05, + "loss": 0.998, + "step": 961 + }, + { + "epoch": 0.08, + "learning_rate": 1.986287489168755e-05, + "loss": 0.972, + "step": 962 + }, + { + "epoch": 0.08, + "learning_rate": 1.9862421504038887e-05, + "loss": 1.0258, + "step": 963 + }, + { + "epoch": 0.08, + "learning_rate": 1.986196737328262e-05, + "loss": 1.0154, + "step": 964 + }, + { + "epoch": 0.08, + "learning_rate": 1.9861512499452956e-05, + "loss": 1.0243, + "step": 965 + }, + { + "epoch": 0.08, + "learning_rate": 1.986105688258418e-05, + "loss": 1.0052, + "step": 966 + }, + { + "epoch": 0.08, + "learning_rate": 1.986060052271061e-05, + "loss": 0.519, + "step": 967 + }, + { + "epoch": 0.08, + "learning_rate": 1.986014341986664e-05, + "loss": 1.0492, + "step": 968 + }, + { + "epoch": 0.08, + "learning_rate": 1.985968557408671e-05, + "loss": 1.0056, + "step": 969 + }, + { + "epoch": 0.08, + "learning_rate": 1.9859226985405312e-05, + "loss": 1.0318, + "step": 970 + }, + { + "epoch": 0.08, + "learning_rate": 1.9858767653857004e-05, + "loss": 1.0336, + "step": 971 + }, + { + "epoch": 0.08, + "learning_rate": 1.98583075794764e-05, + "loss": 1.0214, + "step": 972 + }, + { + "epoch": 0.08, + "learning_rate": 1.9857846762298157e-05, + "loss": 1.0109, + "step": 973 + }, + { + "epoch": 0.08, + "learning_rate": 1.9857385202356997e-05, + "loss": 1.0399, + "step": 974 + }, + { + "epoch": 0.08, + "learning_rate": 1.9856922899687703e-05, + "loss": 1.0328, + "step": 975 + }, + { + "epoch": 0.08, + "learning_rate": 1.9856459854325108e-05, + "loss": 1.0299, + "step": 976 + }, + { + "epoch": 0.08, + "learning_rate": 1.9855996066304096e-05, + "loss": 1.0153, + "step": 977 + }, + { + "epoch": 0.08, + "learning_rate": 1.9855531535659612e-05, + "loss": 1.0329, + "step": 978 + }, + { + "epoch": 0.08, + "learning_rate": 1.9855066262426663e-05, + "loss": 1.0234, + "step": 979 + }, + { + "epoch": 0.08, + "learning_rate": 1.9854600246640305e-05, + "loss": 1.024, + "step": 980 + }, + { + "epoch": 0.08, + "learning_rate": 1.9854133488335647e-05, + "loss": 1.0376, + "step": 981 + }, + { + "epoch": 0.08, + "learning_rate": 1.985366598754786e-05, + "loss": 0.992, + "step": 982 + }, + { + "epoch": 0.08, + "learning_rate": 1.985319774431217e-05, + "loss": 1.0296, + "step": 983 + }, + { + "epoch": 0.08, + "learning_rate": 1.9852728758663857e-05, + "loss": 1.0422, + "step": 984 + }, + { + "epoch": 0.08, + "learning_rate": 1.985225903063826e-05, + "loss": 1.0218, + "step": 985 + }, + { + "epoch": 0.08, + "learning_rate": 1.9851788560270765e-05, + "loss": 1.0684, + "step": 986 + }, + { + "epoch": 0.08, + "learning_rate": 1.9851317347596827e-05, + "loss": 0.9935, + "step": 987 + }, + { + "epoch": 0.08, + "learning_rate": 1.985084539265195e-05, + "loss": 1.0382, + "step": 988 + }, + { + "epoch": 0.08, + "learning_rate": 1.9850372695471694e-05, + "loss": 1.037, + "step": 989 + }, + { + "epoch": 0.08, + "learning_rate": 1.9849899256091672e-05, + "loss": 1.0009, + "step": 990 + }, + { + "epoch": 0.08, + "learning_rate": 1.9849425074547565e-05, + "loss": 0.9961, + "step": 991 + }, + { + "epoch": 0.08, + "learning_rate": 1.9848950150875093e-05, + "loss": 1.0215, + "step": 992 + }, + { + "epoch": 0.08, + "learning_rate": 1.9848474485110043e-05, + "loss": 1.0251, + "step": 993 + }, + { + "epoch": 0.08, + "learning_rate": 1.9847998077288255e-05, + "loss": 1.0507, + "step": 994 + }, + { + "epoch": 0.08, + "learning_rate": 1.9847520927445628e-05, + "loss": 1.0077, + "step": 995 + }, + { + "epoch": 0.08, + "learning_rate": 1.9847043035618107e-05, + "loss": 0.5883, + "step": 996 + }, + { + "epoch": 0.08, + "learning_rate": 1.984656440184171e-05, + "loss": 0.9797, + "step": 997 + }, + { + "epoch": 0.08, + "learning_rate": 1.984608502615249e-05, + "loss": 1.0037, + "step": 998 + }, + { + "epoch": 0.08, + "learning_rate": 1.984560490858657e-05, + "loss": 0.9724, + "step": 999 + }, + { + "epoch": 0.08, + "learning_rate": 1.9845124049180132e-05, + "loss": 0.9881, + "step": 1000 + }, + { + "epoch": 0.08, + "learning_rate": 1.98446424479694e-05, + "loss": 1.0507, + "step": 1001 + }, + { + "epoch": 0.08, + "learning_rate": 1.9844160104990665e-05, + "loss": 1.0179, + "step": 1002 + }, + { + "epoch": 0.09, + "learning_rate": 1.984367702028027e-05, + "loss": 1.0295, + "step": 1003 + }, + { + "epoch": 0.09, + "learning_rate": 1.9843193193874614e-05, + "loss": 0.9787, + "step": 1004 + }, + { + "epoch": 0.09, + "learning_rate": 1.984270862581015e-05, + "loss": 1.0232, + "step": 1005 + }, + { + "epoch": 0.09, + "learning_rate": 1.9842223316123393e-05, + "loss": 1.1184, + "step": 1006 + }, + { + "epoch": 0.09, + "learning_rate": 1.984173726485091e-05, + "loss": 1.0353, + "step": 1007 + }, + { + "epoch": 0.09, + "learning_rate": 1.9841250472029316e-05, + "loss": 1.0157, + "step": 1008 + }, + { + "epoch": 0.09, + "learning_rate": 1.9840762937695296e-05, + "loss": 1.0352, + "step": 1009 + }, + { + "epoch": 0.09, + "learning_rate": 1.9840274661885585e-05, + "loss": 1.0064, + "step": 1010 + }, + { + "epoch": 0.09, + "learning_rate": 1.9839785644636967e-05, + "loss": 1.0144, + "step": 1011 + }, + { + "epoch": 0.09, + "learning_rate": 1.98392958859863e-05, + "loss": 1.0365, + "step": 1012 + }, + { + "epoch": 0.09, + "learning_rate": 1.9838805385970472e-05, + "loss": 0.516, + "step": 1013 + }, + { + "epoch": 0.09, + "learning_rate": 1.9838314144626452e-05, + "loss": 1.0349, + "step": 1014 + }, + { + "epoch": 0.09, + "learning_rate": 1.9837822161991248e-05, + "loss": 1.0202, + "step": 1015 + }, + { + "epoch": 0.09, + "learning_rate": 1.9837329438101927e-05, + "loss": 0.9971, + "step": 1016 + }, + { + "epoch": 0.09, + "learning_rate": 1.9836835972995622e-05, + "loss": 0.9919, + "step": 1017 + }, + { + "epoch": 0.09, + "learning_rate": 1.983634176670951e-05, + "loss": 0.979, + "step": 1018 + }, + { + "epoch": 0.09, + "learning_rate": 1.983584681928083e-05, + "loss": 1.019, + "step": 1019 + }, + { + "epoch": 0.09, + "learning_rate": 1.9835351130746873e-05, + "loss": 0.9473, + "step": 1020 + }, + { + "epoch": 0.09, + "learning_rate": 1.9834854701144986e-05, + "loss": 0.9226, + "step": 1021 + }, + { + "epoch": 0.09, + "learning_rate": 1.983435753051258e-05, + "loss": 0.9856, + "step": 1022 + }, + { + "epoch": 0.09, + "learning_rate": 1.983385961888711e-05, + "loss": 0.9799, + "step": 1023 + }, + { + "epoch": 0.09, + "learning_rate": 1.9833360966306095e-05, + "loss": 1.0105, + "step": 1024 + }, + { + "epoch": 0.09, + "learning_rate": 1.9832861572807106e-05, + "loss": 1.017, + "step": 1025 + }, + { + "epoch": 0.09, + "learning_rate": 1.983236143842777e-05, + "loss": 0.9784, + "step": 1026 + }, + { + "epoch": 0.09, + "learning_rate": 1.9831860563205776e-05, + "loss": 1.0414, + "step": 1027 + }, + { + "epoch": 0.09, + "learning_rate": 1.9831358947178855e-05, + "loss": 0.9861, + "step": 1028 + }, + { + "epoch": 0.09, + "learning_rate": 1.9830856590384813e-05, + "loss": 1.0442, + "step": 1029 + }, + { + "epoch": 0.09, + "learning_rate": 1.9830353492861493e-05, + "loss": 1.0299, + "step": 1030 + }, + { + "epoch": 0.09, + "learning_rate": 1.98298496546468e-05, + "loss": 1.0602, + "step": 1031 + }, + { + "epoch": 0.09, + "learning_rate": 1.9829345075778705e-05, + "loss": 0.9569, + "step": 1032 + }, + { + "epoch": 0.09, + "learning_rate": 1.9828839756295223e-05, + "loss": 1.0088, + "step": 1033 + }, + { + "epoch": 0.09, + "learning_rate": 1.982833369623443e-05, + "loss": 1.0432, + "step": 1034 + }, + { + "epoch": 0.09, + "learning_rate": 1.9827826895634452e-05, + "loss": 1.0075, + "step": 1035 + }, + { + "epoch": 0.09, + "learning_rate": 1.982731935453348e-05, + "loss": 1.0016, + "step": 1036 + }, + { + "epoch": 0.09, + "learning_rate": 1.9826811072969755e-05, + "loss": 0.9855, + "step": 1037 + }, + { + "epoch": 0.09, + "learning_rate": 1.982630205098157e-05, + "loss": 1.0888, + "step": 1038 + }, + { + "epoch": 0.09, + "learning_rate": 1.9825792288607284e-05, + "loss": 0.9887, + "step": 1039 + }, + { + "epoch": 0.09, + "learning_rate": 1.9825281785885303e-05, + "loss": 0.5482, + "step": 1040 + }, + { + "epoch": 0.09, + "learning_rate": 1.9824770542854093e-05, + "loss": 1.0504, + "step": 1041 + }, + { + "epoch": 0.09, + "learning_rate": 1.9824258559552182e-05, + "loss": 1.0082, + "step": 1042 + }, + { + "epoch": 0.09, + "learning_rate": 1.9823745836018132e-05, + "loss": 0.9863, + "step": 1043 + }, + { + "epoch": 0.09, + "learning_rate": 1.982323237229059e-05, + "loss": 0.9912, + "step": 1044 + }, + { + "epoch": 0.09, + "learning_rate": 1.982271816840823e-05, + "loss": 1.009, + "step": 1045 + }, + { + "epoch": 0.09, + "learning_rate": 1.9822203224409805e-05, + "loss": 1.0045, + "step": 1046 + }, + { + "epoch": 0.09, + "learning_rate": 1.9821687540334116e-05, + "loss": 0.5888, + "step": 1047 + }, + { + "epoch": 0.09, + "learning_rate": 1.982117111622001e-05, + "loss": 1.0234, + "step": 1048 + }, + { + "epoch": 0.09, + "learning_rate": 1.982065395210641e-05, + "loss": 1.0339, + "step": 1049 + }, + { + "epoch": 0.09, + "learning_rate": 1.9820136048032276e-05, + "loss": 1.0493, + "step": 1050 + }, + { + "epoch": 0.09, + "learning_rate": 1.981961740403663e-05, + "loss": 1.0465, + "step": 1051 + }, + { + "epoch": 0.09, + "learning_rate": 1.981909802015855e-05, + "loss": 1.0562, + "step": 1052 + }, + { + "epoch": 0.09, + "learning_rate": 1.981857789643717e-05, + "loss": 0.9823, + "step": 1053 + }, + { + "epoch": 0.09, + "learning_rate": 1.9818057032911687e-05, + "loss": 1.0253, + "step": 1054 + }, + { + "epoch": 0.09, + "learning_rate": 1.981753542962134e-05, + "loss": 0.5516, + "step": 1055 + }, + { + "epoch": 0.09, + "learning_rate": 1.981701308660543e-05, + "loss": 1.0558, + "step": 1056 + }, + { + "epoch": 0.09, + "learning_rate": 1.9816490003903316e-05, + "loss": 1.0275, + "step": 1057 + }, + { + "epoch": 0.09, + "learning_rate": 1.9815966181554412e-05, + "loss": 0.9793, + "step": 1058 + }, + { + "epoch": 0.09, + "learning_rate": 1.981544161959819e-05, + "loss": 1.0274, + "step": 1059 + }, + { + "epoch": 0.09, + "learning_rate": 1.9814916318074163e-05, + "loss": 1.0382, + "step": 1060 + }, + { + "epoch": 0.09, + "learning_rate": 1.9814390277021923e-05, + "loss": 1.0405, + "step": 1061 + }, + { + "epoch": 0.09, + "learning_rate": 1.9813863496481097e-05, + "loss": 1.0093, + "step": 1062 + }, + { + "epoch": 0.09, + "learning_rate": 1.9813335976491387e-05, + "loss": 0.9712, + "step": 1063 + }, + { + "epoch": 0.09, + "learning_rate": 1.9812807717092527e-05, + "loss": 1.0475, + "step": 1064 + }, + { + "epoch": 0.09, + "learning_rate": 1.9812278718324332e-05, + "loss": 1.0039, + "step": 1065 + }, + { + "epoch": 0.09, + "learning_rate": 1.981174898022665e-05, + "loss": 0.9902, + "step": 1066 + }, + { + "epoch": 0.09, + "learning_rate": 1.9811218502839405e-05, + "loss": 1.0103, + "step": 1067 + }, + { + "epoch": 0.09, + "learning_rate": 1.9810687286202564e-05, + "loss": 1.0599, + "step": 1068 + }, + { + "epoch": 0.09, + "learning_rate": 1.9810155330356147e-05, + "loss": 1.0042, + "step": 1069 + }, + { + "epoch": 0.09, + "learning_rate": 1.9809622635340245e-05, + "loss": 1.0512, + "step": 1070 + }, + { + "epoch": 0.09, + "learning_rate": 1.9809089201194987e-05, + "loss": 1.0354, + "step": 1071 + }, + { + "epoch": 0.09, + "learning_rate": 1.980855502796057e-05, + "loss": 0.974, + "step": 1072 + }, + { + "epoch": 0.09, + "learning_rate": 1.980802011567724e-05, + "loss": 1.0245, + "step": 1073 + }, + { + "epoch": 0.09, + "learning_rate": 1.9807484464385304e-05, + "loss": 0.6193, + "step": 1074 + }, + { + "epoch": 0.09, + "learning_rate": 1.9806948074125123e-05, + "loss": 1.0258, + "step": 1075 + }, + { + "epoch": 0.09, + "learning_rate": 1.980641094493711e-05, + "loss": 1.0061, + "step": 1076 + }, + { + "epoch": 0.09, + "learning_rate": 1.9805873076861734e-05, + "loss": 1.0109, + "step": 1077 + }, + { + "epoch": 0.09, + "learning_rate": 1.980533446993953e-05, + "loss": 0.979, + "step": 1078 + }, + { + "epoch": 0.09, + "learning_rate": 1.980479512421107e-05, + "loss": 0.9665, + "step": 1079 + }, + { + "epoch": 0.09, + "learning_rate": 1.9804255039717e-05, + "loss": 0.9975, + "step": 1080 + }, + { + "epoch": 0.09, + "learning_rate": 1.9803714216498013e-05, + "loss": 1.074, + "step": 1081 + }, + { + "epoch": 0.09, + "learning_rate": 1.9803172654594855e-05, + "loss": 1.021, + "step": 1082 + }, + { + "epoch": 0.09, + "learning_rate": 1.9802630354048335e-05, + "loss": 1.0308, + "step": 1083 + }, + { + "epoch": 0.09, + "learning_rate": 1.980208731489931e-05, + "loss": 1.0299, + "step": 1084 + }, + { + "epoch": 0.09, + "learning_rate": 1.98015435371887e-05, + "loss": 1.0218, + "step": 1085 + }, + { + "epoch": 0.09, + "learning_rate": 1.9800999020957475e-05, + "loss": 1.0171, + "step": 1086 + }, + { + "epoch": 0.09, + "learning_rate": 1.9800453766246668e-05, + "loss": 1.0133, + "step": 1087 + }, + { + "epoch": 0.09, + "learning_rate": 1.9799907773097355e-05, + "loss": 1.081, + "step": 1088 + }, + { + "epoch": 0.09, + "learning_rate": 1.9799361041550678e-05, + "loss": 1.0556, + "step": 1089 + }, + { + "epoch": 0.09, + "learning_rate": 1.9798813571647835e-05, + "loss": 1.0024, + "step": 1090 + }, + { + "epoch": 0.09, + "learning_rate": 1.9798265363430075e-05, + "loss": 1.0301, + "step": 1091 + }, + { + "epoch": 0.09, + "learning_rate": 1.9797716416938703e-05, + "loss": 1.0229, + "step": 1092 + }, + { + "epoch": 0.09, + "learning_rate": 1.9797166732215078e-05, + "loss": 1.0078, + "step": 1093 + }, + { + "epoch": 0.09, + "learning_rate": 1.979661630930062e-05, + "loss": 0.9732, + "step": 1094 + }, + { + "epoch": 0.09, + "learning_rate": 1.9796065148236803e-05, + "loss": 1.0109, + "step": 1095 + }, + { + "epoch": 0.09, + "learning_rate": 1.9795513249065155e-05, + "loss": 1.0337, + "step": 1096 + }, + { + "epoch": 0.09, + "learning_rate": 1.979496061182726e-05, + "loss": 1.0482, + "step": 1097 + }, + { + "epoch": 0.09, + "learning_rate": 1.9794407236564753e-05, + "loss": 1.0004, + "step": 1098 + }, + { + "epoch": 0.09, + "learning_rate": 1.979385312331934e-05, + "loss": 0.9799, + "step": 1099 + }, + { + "epoch": 0.09, + "learning_rate": 1.979329827213276e-05, + "loss": 1.0056, + "step": 1100 + }, + { + "epoch": 0.09, + "learning_rate": 1.979274268304683e-05, + "loss": 1.0234, + "step": 1101 + }, + { + "epoch": 0.09, + "learning_rate": 1.9792186356103403e-05, + "loss": 1.0372, + "step": 1102 + }, + { + "epoch": 0.09, + "learning_rate": 1.9791629291344404e-05, + "loss": 0.9961, + "step": 1103 + }, + { + "epoch": 0.09, + "learning_rate": 1.9791071488811802e-05, + "loss": 0.983, + "step": 1104 + }, + { + "epoch": 0.09, + "learning_rate": 1.9790512948547633e-05, + "loss": 1.0488, + "step": 1105 + }, + { + "epoch": 0.09, + "learning_rate": 1.9789953670593972e-05, + "loss": 1.0067, + "step": 1106 + }, + { + "epoch": 0.09, + "learning_rate": 1.978939365499296e-05, + "loss": 1.0117, + "step": 1107 + }, + { + "epoch": 0.09, + "learning_rate": 1.97888329017868e-05, + "loss": 1.0252, + "step": 1108 + }, + { + "epoch": 0.09, + "learning_rate": 1.978827141101774e-05, + "loss": 1.0533, + "step": 1109 + }, + { + "epoch": 0.09, + "learning_rate": 1.978770918272808e-05, + "loss": 1.0501, + "step": 1110 + }, + { + "epoch": 0.09, + "learning_rate": 1.9787146216960196e-05, + "loss": 1.0545, + "step": 1111 + }, + { + "epoch": 0.09, + "learning_rate": 1.9786582513756496e-05, + "loss": 1.0121, + "step": 1112 + }, + { + "epoch": 0.09, + "learning_rate": 1.9786018073159458e-05, + "loss": 1.0752, + "step": 1113 + }, + { + "epoch": 0.09, + "learning_rate": 1.9785452895211606e-05, + "loss": 0.9874, + "step": 1114 + }, + { + "epoch": 0.09, + "learning_rate": 1.9784886979955526e-05, + "loss": 1.0612, + "step": 1115 + }, + { + "epoch": 0.09, + "learning_rate": 1.9784320327433865e-05, + "loss": 0.994, + "step": 1116 + }, + { + "epoch": 0.09, + "learning_rate": 1.9783752937689312e-05, + "loss": 0.6095, + "step": 1117 + }, + { + "epoch": 0.09, + "learning_rate": 1.978318481076462e-05, + "loss": 1.0447, + "step": 1118 + }, + { + "epoch": 0.09, + "learning_rate": 1.9782615946702596e-05, + "loss": 1.0117, + "step": 1119 + }, + { + "epoch": 0.09, + "learning_rate": 1.9782046345546102e-05, + "loss": 1.013, + "step": 1120 + }, + { + "epoch": 0.1, + "learning_rate": 1.9781476007338058e-05, + "loss": 1.0335, + "step": 1121 + }, + { + "epoch": 0.1, + "learning_rate": 1.9780904932121435e-05, + "loss": 1.0534, + "step": 1122 + }, + { + "epoch": 0.1, + "learning_rate": 1.9780333119939264e-05, + "loss": 1.0034, + "step": 1123 + }, + { + "epoch": 0.1, + "learning_rate": 1.9779760570834626e-05, + "loss": 0.9978, + "step": 1124 + }, + { + "epoch": 0.1, + "learning_rate": 1.9779187284850665e-05, + "loss": 0.9905, + "step": 1125 + }, + { + "epoch": 0.1, + "learning_rate": 1.9778613262030577e-05, + "loss": 1.0278, + "step": 1126 + }, + { + "epoch": 0.1, + "learning_rate": 1.977803850241761e-05, + "loss": 0.9975, + "step": 1127 + }, + { + "epoch": 0.1, + "learning_rate": 1.977746300605507e-05, + "loss": 1.0271, + "step": 1128 + }, + { + "epoch": 0.1, + "learning_rate": 1.9776886772986325e-05, + "loss": 0.981, + "step": 1129 + }, + { + "epoch": 0.1, + "learning_rate": 1.977630980325479e-05, + "loss": 1.0023, + "step": 1130 + }, + { + "epoch": 0.1, + "learning_rate": 1.977573209690393e-05, + "loss": 1.004, + "step": 1131 + }, + { + "epoch": 0.1, + "learning_rate": 1.9775153653977284e-05, + "loss": 0.9869, + "step": 1132 + }, + { + "epoch": 0.1, + "learning_rate": 1.9774574474518432e-05, + "loss": 1.0247, + "step": 1133 + }, + { + "epoch": 0.1, + "learning_rate": 1.9773994558571016e-05, + "loss": 0.97, + "step": 1134 + }, + { + "epoch": 0.1, + "learning_rate": 1.977341390617873e-05, + "loss": 0.965, + "step": 1135 + }, + { + "epoch": 0.1, + "learning_rate": 1.977283251738532e-05, + "loss": 1.0336, + "step": 1136 + }, + { + "epoch": 0.1, + "learning_rate": 1.97722503922346e-05, + "loss": 0.9681, + "step": 1137 + }, + { + "epoch": 0.1, + "learning_rate": 1.9771667530770427e-05, + "loss": 1.0338, + "step": 1138 + }, + { + "epoch": 0.1, + "learning_rate": 1.977108393303672e-05, + "loss": 1.0003, + "step": 1139 + }, + { + "epoch": 0.1, + "learning_rate": 1.977049959907745e-05, + "loss": 1.0285, + "step": 1140 + }, + { + "epoch": 0.1, + "learning_rate": 1.9769914528936646e-05, + "loss": 0.9672, + "step": 1141 + }, + { + "epoch": 0.1, + "learning_rate": 1.976932872265839e-05, + "loss": 1.0507, + "step": 1142 + }, + { + "epoch": 0.1, + "learning_rate": 1.976874218028682e-05, + "loss": 0.5818, + "step": 1143 + }, + { + "epoch": 0.1, + "learning_rate": 1.9768154901866136e-05, + "loss": 1.0499, + "step": 1144 + }, + { + "epoch": 0.1, + "learning_rate": 1.976756688744058e-05, + "loss": 1.0455, + "step": 1145 + }, + { + "epoch": 0.1, + "learning_rate": 1.9766978137054466e-05, + "loss": 1.0082, + "step": 1146 + }, + { + "epoch": 0.1, + "learning_rate": 1.9766388650752152e-05, + "loss": 1.021, + "step": 1147 + }, + { + "epoch": 0.1, + "learning_rate": 1.9765798428578045e-05, + "loss": 1.0006, + "step": 1148 + }, + { + "epoch": 0.1, + "learning_rate": 1.9765207470576632e-05, + "loss": 0.9496, + "step": 1149 + }, + { + "epoch": 0.1, + "learning_rate": 1.976461577679243e-05, + "loss": 1.0152, + "step": 1150 + }, + { + "epoch": 0.1, + "learning_rate": 1.9764023347270026e-05, + "loss": 1.0095, + "step": 1151 + }, + { + "epoch": 0.1, + "learning_rate": 1.976343018205405e-05, + "loss": 0.9566, + "step": 1152 + }, + { + "epoch": 0.1, + "learning_rate": 1.9762836281189207e-05, + "loss": 0.9988, + "step": 1153 + }, + { + "epoch": 0.1, + "learning_rate": 1.976224164472024e-05, + "loss": 1.0282, + "step": 1154 + }, + { + "epoch": 0.1, + "learning_rate": 1.9761646272691954e-05, + "loss": 0.9785, + "step": 1155 + }, + { + "epoch": 0.1, + "learning_rate": 1.9761050165149208e-05, + "loss": 1.0181, + "step": 1156 + }, + { + "epoch": 0.1, + "learning_rate": 1.9760453322136916e-05, + "loss": 0.9921, + "step": 1157 + }, + { + "epoch": 0.1, + "learning_rate": 1.975985574370005e-05, + "loss": 1.037, + "step": 1158 + }, + { + "epoch": 0.1, + "learning_rate": 1.975925742988364e-05, + "loss": 1.0361, + "step": 1159 + }, + { + "epoch": 0.1, + "learning_rate": 1.9758658380732758e-05, + "loss": 0.9927, + "step": 1160 + }, + { + "epoch": 0.1, + "learning_rate": 1.9758058596292548e-05, + "loss": 0.9751, + "step": 1161 + }, + { + "epoch": 0.1, + "learning_rate": 1.9757458076608204e-05, + "loss": 0.97, + "step": 1162 + }, + { + "epoch": 0.1, + "learning_rate": 1.975685682172497e-05, + "loss": 1.0311, + "step": 1163 + }, + { + "epoch": 0.1, + "learning_rate": 1.9756254831688142e-05, + "loss": 1.0221, + "step": 1164 + }, + { + "epoch": 0.1, + "learning_rate": 1.9755652106543094e-05, + "loss": 1.0135, + "step": 1165 + }, + { + "epoch": 0.1, + "learning_rate": 1.9755048646335227e-05, + "loss": 0.9861, + "step": 1166 + }, + { + "epoch": 0.1, + "learning_rate": 1.9754444451110014e-05, + "loss": 1.0043, + "step": 1167 + }, + { + "epoch": 0.1, + "learning_rate": 1.9753839520912984e-05, + "loss": 1.0402, + "step": 1168 + }, + { + "epoch": 0.1, + "learning_rate": 1.9753233855789705e-05, + "loss": 0.9757, + "step": 1169 + }, + { + "epoch": 0.1, + "learning_rate": 1.9752627455785825e-05, + "loss": 1.0163, + "step": 1170 + }, + { + "epoch": 0.1, + "learning_rate": 1.975202032094703e-05, + "loss": 0.9754, + "step": 1171 + }, + { + "epoch": 0.1, + "learning_rate": 1.9751412451319068e-05, + "loss": 0.9919, + "step": 1172 + }, + { + "epoch": 0.1, + "learning_rate": 1.975080384694773e-05, + "loss": 0.9881, + "step": 1173 + }, + { + "epoch": 0.1, + "learning_rate": 1.975019450787889e-05, + "loss": 0.9752, + "step": 1174 + }, + { + "epoch": 0.1, + "learning_rate": 1.9749584434158448e-05, + "loss": 1.0003, + "step": 1175 + }, + { + "epoch": 0.1, + "learning_rate": 1.9748973625832373e-05, + "loss": 0.9887, + "step": 1176 + }, + { + "epoch": 0.1, + "learning_rate": 1.974836208294669e-05, + "loss": 1.0362, + "step": 1177 + }, + { + "epoch": 0.1, + "learning_rate": 1.9747749805547474e-05, + "loss": 1.0306, + "step": 1178 + }, + { + "epoch": 0.1, + "learning_rate": 1.9747136793680864e-05, + "loss": 1.0011, + "step": 1179 + }, + { + "epoch": 0.1, + "learning_rate": 1.9746523047393046e-05, + "loss": 0.9992, + "step": 1180 + }, + { + "epoch": 0.1, + "learning_rate": 1.9745908566730262e-05, + "loss": 0.9719, + "step": 1181 + }, + { + "epoch": 0.1, + "learning_rate": 1.9745293351738813e-05, + "loss": 1.0404, + "step": 1182 + }, + { + "epoch": 0.1, + "learning_rate": 1.9744677402465053e-05, + "loss": 1.0282, + "step": 1183 + }, + { + "epoch": 0.1, + "learning_rate": 1.9744060718955396e-05, + "loss": 0.9624, + "step": 1184 + }, + { + "epoch": 0.1, + "learning_rate": 1.9743443301256303e-05, + "loss": 1.0397, + "step": 1185 + }, + { + "epoch": 0.1, + "learning_rate": 1.97428251494143e-05, + "loss": 0.9596, + "step": 1186 + }, + { + "epoch": 0.1, + "learning_rate": 1.9742206263475956e-05, + "loss": 0.9868, + "step": 1187 + }, + { + "epoch": 0.1, + "learning_rate": 1.974158664348791e-05, + "loss": 1.002, + "step": 1188 + }, + { + "epoch": 0.1, + "learning_rate": 1.9740966289496844e-05, + "loss": 1.0262, + "step": 1189 + }, + { + "epoch": 0.1, + "learning_rate": 1.97403452015495e-05, + "loss": 0.9986, + "step": 1190 + }, + { + "epoch": 0.1, + "learning_rate": 1.9739723379692676e-05, + "loss": 1.0014, + "step": 1191 + }, + { + "epoch": 0.1, + "learning_rate": 1.9739100823973226e-05, + "loss": 1.0144, + "step": 1192 + }, + { + "epoch": 0.1, + "learning_rate": 1.9738477534438055e-05, + "loss": 1.0404, + "step": 1193 + }, + { + "epoch": 0.1, + "learning_rate": 1.973785351113413e-05, + "loss": 0.9778, + "step": 1194 + }, + { + "epoch": 0.1, + "learning_rate": 1.9737228754108467e-05, + "loss": 0.9798, + "step": 1195 + }, + { + "epoch": 0.1, + "learning_rate": 1.973660326340814e-05, + "loss": 1.0603, + "step": 1196 + }, + { + "epoch": 0.1, + "learning_rate": 1.973597703908028e-05, + "loss": 0.9713, + "step": 1197 + }, + { + "epoch": 0.1, + "learning_rate": 1.973535008117207e-05, + "loss": 0.9862, + "step": 1198 + }, + { + "epoch": 0.1, + "learning_rate": 1.9734722389730748e-05, + "loss": 1.0425, + "step": 1199 + }, + { + "epoch": 0.1, + "learning_rate": 1.973409396480361e-05, + "loss": 1.068, + "step": 1200 + }, + { + "epoch": 0.1, + "learning_rate": 1.9733464806438007e-05, + "loss": 0.9697, + "step": 1201 + }, + { + "epoch": 0.1, + "learning_rate": 1.9732834914681347e-05, + "loss": 1.0064, + "step": 1202 + }, + { + "epoch": 0.1, + "learning_rate": 1.9732204289581088e-05, + "loss": 0.9864, + "step": 1203 + }, + { + "epoch": 0.1, + "learning_rate": 1.973157293118474e-05, + "loss": 1.0662, + "step": 1204 + }, + { + "epoch": 0.1, + "learning_rate": 1.9730940839539884e-05, + "loss": 0.9463, + "step": 1205 + }, + { + "epoch": 0.1, + "learning_rate": 1.9730308014694143e-05, + "loss": 1.0029, + "step": 1206 + }, + { + "epoch": 0.1, + "learning_rate": 1.97296744566952e-05, + "loss": 0.9912, + "step": 1207 + }, + { + "epoch": 0.1, + "learning_rate": 1.9729040165590784e-05, + "loss": 0.9851, + "step": 1208 + }, + { + "epoch": 0.1, + "learning_rate": 1.9728405141428698e-05, + "loss": 0.9708, + "step": 1209 + }, + { + "epoch": 0.1, + "learning_rate": 1.9727769384256784e-05, + "loss": 0.9995, + "step": 1210 + }, + { + "epoch": 0.1, + "learning_rate": 1.972713289412294e-05, + "loss": 1.0301, + "step": 1211 + }, + { + "epoch": 0.1, + "learning_rate": 1.9726495671075135e-05, + "loss": 1.0308, + "step": 1212 + }, + { + "epoch": 0.1, + "learning_rate": 1.9725857715161375e-05, + "loss": 0.9978, + "step": 1213 + }, + { + "epoch": 0.1, + "learning_rate": 1.972521902642973e-05, + "loss": 1.0431, + "step": 1214 + }, + { + "epoch": 0.1, + "learning_rate": 1.972457960492832e-05, + "loss": 1.003, + "step": 1215 + }, + { + "epoch": 0.1, + "learning_rate": 1.972393945070533e-05, + "loss": 1.0094, + "step": 1216 + }, + { + "epoch": 0.1, + "learning_rate": 1.972329856380899e-05, + "loss": 0.9913, + "step": 1217 + }, + { + "epoch": 0.1, + "learning_rate": 1.972265694428759e-05, + "loss": 1.0597, + "step": 1218 + }, + { + "epoch": 0.1, + "learning_rate": 1.9722014592189472e-05, + "loss": 0.9955, + "step": 1219 + }, + { + "epoch": 0.1, + "learning_rate": 1.972137150756304e-05, + "loss": 1.0057, + "step": 1220 + }, + { + "epoch": 0.1, + "learning_rate": 1.9720727690456745e-05, + "loss": 0.5605, + "step": 1221 + }, + { + "epoch": 0.1, + "learning_rate": 1.9720083140919097e-05, + "loss": 1.0589, + "step": 1222 + }, + { + "epoch": 0.1, + "learning_rate": 1.9719437858998667e-05, + "loss": 1.0405, + "step": 1223 + }, + { + "epoch": 0.1, + "learning_rate": 1.9718791844744068e-05, + "loss": 1.0264, + "step": 1224 + }, + { + "epoch": 0.1, + "learning_rate": 1.9718145098203977e-05, + "loss": 0.9484, + "step": 1225 + }, + { + "epoch": 0.1, + "learning_rate": 1.971749761942713e-05, + "loss": 0.9986, + "step": 1226 + }, + { + "epoch": 0.1, + "learning_rate": 1.9716849408462308e-05, + "loss": 1.0054, + "step": 1227 + }, + { + "epoch": 0.1, + "learning_rate": 1.9716200465358352e-05, + "loss": 0.9999, + "step": 1228 + }, + { + "epoch": 0.1, + "learning_rate": 1.9715550790164156e-05, + "loss": 1.0115, + "step": 1229 + }, + { + "epoch": 0.1, + "learning_rate": 1.9714900382928674e-05, + "loss": 1.0319, + "step": 1230 + }, + { + "epoch": 0.1, + "learning_rate": 1.9714249243700916e-05, + "loss": 1.0032, + "step": 1231 + }, + { + "epoch": 0.1, + "learning_rate": 1.971359737252994e-05, + "loss": 1.0399, + "step": 1232 + }, + { + "epoch": 0.1, + "learning_rate": 1.9712944769464864e-05, + "loss": 1.0343, + "step": 1233 + }, + { + "epoch": 0.1, + "learning_rate": 1.9712291434554858e-05, + "loss": 1.0598, + "step": 1234 + }, + { + "epoch": 0.1, + "learning_rate": 1.971163736784915e-05, + "loss": 1.0336, + "step": 1235 + }, + { + "epoch": 0.1, + "learning_rate": 1.971098256939702e-05, + "loss": 1.0086, + "step": 1236 + }, + { + "epoch": 0.1, + "learning_rate": 1.9710327039247814e-05, + "loss": 1.0375, + "step": 1237 + }, + { + "epoch": 0.1, + "learning_rate": 1.9709670777450912e-05, + "loss": 1.0092, + "step": 1238 + }, + { + "epoch": 0.11, + "learning_rate": 1.9709013784055773e-05, + "loss": 1.0496, + "step": 1239 + }, + { + "epoch": 0.11, + "learning_rate": 1.970835605911189e-05, + "loss": 1.0358, + "step": 1240 + }, + { + "epoch": 0.11, + "learning_rate": 1.9707697602668827e-05, + "loss": 0.9372, + "step": 1241 + }, + { + "epoch": 0.11, + "learning_rate": 1.9707038414776195e-05, + "loss": 1.0137, + "step": 1242 + }, + { + "epoch": 0.11, + "learning_rate": 1.9706378495483664e-05, + "loss": 0.9756, + "step": 1243 + }, + { + "epoch": 0.11, + "learning_rate": 1.9705717844840955e-05, + "loss": 1.0137, + "step": 1244 + }, + { + "epoch": 0.11, + "learning_rate": 1.9705056462897846e-05, + "loss": 1.0472, + "step": 1245 + }, + { + "epoch": 0.11, + "learning_rate": 1.9704394349704174e-05, + "loss": 1.0384, + "step": 1246 + }, + { + "epoch": 0.11, + "learning_rate": 1.970373150530982e-05, + "loss": 1.0493, + "step": 1247 + }, + { + "epoch": 0.11, + "learning_rate": 1.9703067929764736e-05, + "loss": 0.9746, + "step": 1248 + }, + { + "epoch": 0.11, + "learning_rate": 1.9702403623118918e-05, + "loss": 0.9784, + "step": 1249 + }, + { + "epoch": 0.11, + "learning_rate": 1.9701738585422416e-05, + "loss": 1.0078, + "step": 1250 + }, + { + "epoch": 0.11, + "learning_rate": 1.9701072816725343e-05, + "loss": 0.4621, + "step": 1251 + }, + { + "epoch": 0.11, + "learning_rate": 1.970040631707786e-05, + "loss": 1.0087, + "step": 1252 + }, + { + "epoch": 0.11, + "learning_rate": 1.969973908653019e-05, + "loss": 1.029, + "step": 1253 + }, + { + "epoch": 0.11, + "learning_rate": 1.9699071125132604e-05, + "loss": 1.017, + "step": 1254 + }, + { + "epoch": 0.11, + "learning_rate": 1.9698402432935432e-05, + "loss": 1.0194, + "step": 1255 + }, + { + "epoch": 0.11, + "learning_rate": 1.9697733009989056e-05, + "loss": 0.9775, + "step": 1256 + }, + { + "epoch": 0.11, + "learning_rate": 1.969706285634392e-05, + "loss": 1.0116, + "step": 1257 + }, + { + "epoch": 0.11, + "learning_rate": 1.9696391972050516e-05, + "loss": 1.0262, + "step": 1258 + }, + { + "epoch": 0.11, + "learning_rate": 1.969572035715939e-05, + "loss": 1.0511, + "step": 1259 + }, + { + "epoch": 0.11, + "learning_rate": 1.9695048011721152e-05, + "loss": 0.9804, + "step": 1260 + }, + { + "epoch": 0.11, + "learning_rate": 1.9694374935786457e-05, + "loss": 0.9627, + "step": 1261 + }, + { + "epoch": 0.11, + "learning_rate": 1.969370112940602e-05, + "loss": 0.9886, + "step": 1262 + }, + { + "epoch": 0.11, + "learning_rate": 1.9693026592630614e-05, + "loss": 1.0348, + "step": 1263 + }, + { + "epoch": 0.11, + "learning_rate": 1.9692351325511066e-05, + "loss": 0.9972, + "step": 1264 + }, + { + "epoch": 0.11, + "learning_rate": 1.9691675328098244e-05, + "loss": 0.9746, + "step": 1265 + }, + { + "epoch": 0.11, + "learning_rate": 1.9690998600443096e-05, + "loss": 1.0768, + "step": 1266 + }, + { + "epoch": 0.11, + "learning_rate": 1.9690321142596602e-05, + "loss": 1.0384, + "step": 1267 + }, + { + "epoch": 0.11, + "learning_rate": 1.9689642954609808e-05, + "loss": 1.0245, + "step": 1268 + }, + { + "epoch": 0.11, + "learning_rate": 1.9688964036533817e-05, + "loss": 0.9626, + "step": 1269 + }, + { + "epoch": 0.11, + "learning_rate": 1.9688284388419784e-05, + "loss": 1.0153, + "step": 1270 + }, + { + "epoch": 0.11, + "learning_rate": 1.9687604010318916e-05, + "loss": 0.9672, + "step": 1271 + }, + { + "epoch": 0.11, + "learning_rate": 1.968692290228248e-05, + "loss": 0.97, + "step": 1272 + }, + { + "epoch": 0.11, + "learning_rate": 1.9686241064361792e-05, + "loss": 1.0112, + "step": 1273 + }, + { + "epoch": 0.11, + "learning_rate": 1.9685558496608236e-05, + "loss": 1.0313, + "step": 1274 + }, + { + "epoch": 0.11, + "learning_rate": 1.9684875199073227e-05, + "loss": 1.0086, + "step": 1275 + }, + { + "epoch": 0.11, + "learning_rate": 1.9684191171808262e-05, + "loss": 0.984, + "step": 1276 + }, + { + "epoch": 0.11, + "learning_rate": 1.9683506414864878e-05, + "loss": 0.9909, + "step": 1277 + }, + { + "epoch": 0.11, + "learning_rate": 1.9682820928294664e-05, + "loss": 1.0015, + "step": 1278 + }, + { + "epoch": 0.11, + "learning_rate": 1.968213471214927e-05, + "loss": 0.9083, + "step": 1279 + }, + { + "epoch": 0.11, + "learning_rate": 1.968144776648041e-05, + "loss": 0.9187, + "step": 1280 + }, + { + "epoch": 0.11, + "learning_rate": 1.968076009133984e-05, + "loss": 1.0291, + "step": 1281 + }, + { + "epoch": 0.11, + "learning_rate": 1.9680071686779368e-05, + "loss": 1.0045, + "step": 1282 + }, + { + "epoch": 0.11, + "learning_rate": 1.9679382552850867e-05, + "loss": 1.0001, + "step": 1283 + }, + { + "epoch": 0.11, + "learning_rate": 1.9678692689606267e-05, + "loss": 1.0423, + "step": 1284 + }, + { + "epoch": 0.11, + "learning_rate": 1.9678002097097537e-05, + "loss": 1.0136, + "step": 1285 + }, + { + "epoch": 0.11, + "learning_rate": 1.967731077537672e-05, + "loss": 0.9853, + "step": 1286 + }, + { + "epoch": 0.11, + "learning_rate": 1.9676618724495903e-05, + "loss": 1.0298, + "step": 1287 + }, + { + "epoch": 0.11, + "learning_rate": 1.9675925944507226e-05, + "loss": 1.0012, + "step": 1288 + }, + { + "epoch": 0.11, + "learning_rate": 1.9675232435462893e-05, + "loss": 1.0095, + "step": 1289 + }, + { + "epoch": 0.11, + "learning_rate": 1.9674538197415157e-05, + "loss": 0.972, + "step": 1290 + }, + { + "epoch": 0.11, + "learning_rate": 1.967384323041633e-05, + "loss": 1.0384, + "step": 1291 + }, + { + "epoch": 0.11, + "learning_rate": 1.9673147534518767e-05, + "loss": 1.0249, + "step": 1292 + }, + { + "epoch": 0.11, + "learning_rate": 1.967245110977489e-05, + "loss": 1.0298, + "step": 1293 + }, + { + "epoch": 0.11, + "learning_rate": 1.9671753956237187e-05, + "loss": 1.0066, + "step": 1294 + }, + { + "epoch": 0.11, + "learning_rate": 1.9671056073958165e-05, + "loss": 0.935, + "step": 1295 + }, + { + "epoch": 0.11, + "learning_rate": 1.9670357462990418e-05, + "loss": 0.9983, + "step": 1296 + }, + { + "epoch": 0.11, + "learning_rate": 1.966965812338659e-05, + "loss": 1.0166, + "step": 1297 + }, + { + "epoch": 0.11, + "learning_rate": 1.9668958055199365e-05, + "loss": 1.0047, + "step": 1298 + }, + { + "epoch": 0.11, + "learning_rate": 1.966825725848149e-05, + "loss": 1.0234, + "step": 1299 + }, + { + "epoch": 0.11, + "learning_rate": 1.966755573328578e-05, + "loss": 1.0422, + "step": 1300 + }, + { + "epoch": 0.11, + "learning_rate": 1.9666853479665083e-05, + "loss": 1.0218, + "step": 1301 + }, + { + "epoch": 0.11, + "learning_rate": 1.9666150497672312e-05, + "loss": 1.0273, + "step": 1302 + }, + { + "epoch": 0.11, + "learning_rate": 1.9665446787360444e-05, + "loss": 1.0776, + "step": 1303 + }, + { + "epoch": 0.11, + "learning_rate": 1.9664742348782492e-05, + "loss": 0.6006, + "step": 1304 + }, + { + "epoch": 0.11, + "learning_rate": 1.966403718199154e-05, + "loss": 1.0174, + "step": 1305 + }, + { + "epoch": 0.11, + "learning_rate": 1.9663331287040713e-05, + "loss": 1.0554, + "step": 1306 + }, + { + "epoch": 0.11, + "learning_rate": 1.9662624663983204e-05, + "loss": 1.0067, + "step": 1307 + }, + { + "epoch": 0.11, + "learning_rate": 1.9661917312872258e-05, + "loss": 1.011, + "step": 1308 + }, + { + "epoch": 0.11, + "learning_rate": 1.9661209233761167e-05, + "loss": 0.991, + "step": 1309 + }, + { + "epoch": 0.11, + "learning_rate": 1.9660500426703282e-05, + "loss": 0.9441, + "step": 1310 + }, + { + "epoch": 0.11, + "learning_rate": 1.965979089175201e-05, + "loss": 0.9952, + "step": 1311 + }, + { + "epoch": 0.11, + "learning_rate": 1.965908062896082e-05, + "loss": 1.0565, + "step": 1312 + }, + { + "epoch": 0.11, + "learning_rate": 1.965836963838322e-05, + "loss": 1.0215, + "step": 1313 + }, + { + "epoch": 0.11, + "learning_rate": 1.9657657920072784e-05, + "loss": 0.9845, + "step": 1314 + }, + { + "epoch": 0.11, + "learning_rate": 1.965694547408314e-05, + "loss": 1.0435, + "step": 1315 + }, + { + "epoch": 0.11, + "learning_rate": 1.9656232300467964e-05, + "loss": 0.9678, + "step": 1316 + }, + { + "epoch": 0.11, + "learning_rate": 1.9655518399281e-05, + "loss": 0.9986, + "step": 1317 + }, + { + "epoch": 0.11, + "learning_rate": 1.965480377057603e-05, + "loss": 0.9729, + "step": 1318 + }, + { + "epoch": 0.11, + "learning_rate": 1.96540884144069e-05, + "loss": 1.0311, + "step": 1319 + }, + { + "epoch": 0.11, + "learning_rate": 1.965337233082752e-05, + "loss": 0.9986, + "step": 1320 + }, + { + "epoch": 0.11, + "learning_rate": 1.965265551989183e-05, + "loss": 0.9861, + "step": 1321 + }, + { + "epoch": 0.11, + "learning_rate": 1.9651937981653854e-05, + "loss": 1.0051, + "step": 1322 + }, + { + "epoch": 0.11, + "learning_rate": 1.965121971616765e-05, + "loss": 0.9987, + "step": 1323 + }, + { + "epoch": 0.11, + "learning_rate": 1.9650500723487335e-05, + "loss": 1.0236, + "step": 1324 + }, + { + "epoch": 0.11, + "learning_rate": 1.964978100366709e-05, + "loss": 0.9767, + "step": 1325 + }, + { + "epoch": 0.11, + "learning_rate": 1.964906055676114e-05, + "loss": 1.0246, + "step": 1326 + }, + { + "epoch": 0.11, + "learning_rate": 1.964833938282377e-05, + "loss": 1.0074, + "step": 1327 + }, + { + "epoch": 0.11, + "learning_rate": 1.9647617481909314e-05, + "loss": 1.0026, + "step": 1328 + }, + { + "epoch": 0.11, + "learning_rate": 1.964689485407217e-05, + "loss": 1.0308, + "step": 1329 + }, + { + "epoch": 0.11, + "learning_rate": 1.964617149936679e-05, + "loss": 0.9654, + "step": 1330 + }, + { + "epoch": 0.11, + "learning_rate": 1.9645447417847663e-05, + "loss": 0.9917, + "step": 1331 + }, + { + "epoch": 0.11, + "learning_rate": 1.9644722609569363e-05, + "loss": 1.0244, + "step": 1332 + }, + { + "epoch": 0.11, + "learning_rate": 1.964399707458649e-05, + "loss": 1.0019, + "step": 1333 + }, + { + "epoch": 0.11, + "learning_rate": 1.9643270812953722e-05, + "loss": 0.9863, + "step": 1334 + }, + { + "epoch": 0.11, + "learning_rate": 1.964254382472577e-05, + "loss": 0.9504, + "step": 1335 + }, + { + "epoch": 0.11, + "learning_rate": 1.9641816109957415e-05, + "loss": 1.0312, + "step": 1336 + }, + { + "epoch": 0.11, + "learning_rate": 1.9641087668703494e-05, + "loss": 0.9741, + "step": 1337 + }, + { + "epoch": 0.11, + "learning_rate": 1.9640358501018885e-05, + "loss": 0.9982, + "step": 1338 + }, + { + "epoch": 0.11, + "learning_rate": 1.9639628606958535e-05, + "loss": 1.0621, + "step": 1339 + }, + { + "epoch": 0.11, + "learning_rate": 1.9638897986577435e-05, + "loss": 1.0068, + "step": 1340 + }, + { + "epoch": 0.11, + "learning_rate": 1.963816663993064e-05, + "loss": 1.0095, + "step": 1341 + }, + { + "epoch": 0.11, + "learning_rate": 1.9637434567073246e-05, + "loss": 0.9645, + "step": 1342 + }, + { + "epoch": 0.11, + "learning_rate": 1.963670176806042e-05, + "loss": 1.0045, + "step": 1343 + }, + { + "epoch": 0.11, + "learning_rate": 1.9635968242947378e-05, + "loss": 0.9916, + "step": 1344 + }, + { + "epoch": 0.11, + "learning_rate": 1.963523399178939e-05, + "loss": 1.0148, + "step": 1345 + }, + { + "epoch": 0.11, + "learning_rate": 1.963449901464177e-05, + "loss": 0.926, + "step": 1346 + }, + { + "epoch": 0.11, + "learning_rate": 1.9633763311559904e-05, + "loss": 1.017, + "step": 1347 + }, + { + "epoch": 0.11, + "learning_rate": 1.9633026882599228e-05, + "loss": 1.0322, + "step": 1348 + }, + { + "epoch": 0.11, + "learning_rate": 1.9632289727815227e-05, + "loss": 1.0249, + "step": 1349 + }, + { + "epoch": 0.11, + "learning_rate": 1.9631551847263438e-05, + "loss": 1.0074, + "step": 1350 + }, + { + "epoch": 0.11, + "learning_rate": 1.9630813240999468e-05, + "loss": 1.0454, + "step": 1351 + }, + { + "epoch": 0.11, + "learning_rate": 1.963007390907896e-05, + "loss": 1.0417, + "step": 1352 + }, + { + "epoch": 0.11, + "learning_rate": 1.962933385155763e-05, + "loss": 1.0011, + "step": 1353 + }, + { + "epoch": 0.11, + "learning_rate": 1.962859306849123e-05, + "loss": 1.0059, + "step": 1354 + }, + { + "epoch": 0.11, + "learning_rate": 1.9627851559935583e-05, + "loss": 1.0053, + "step": 1355 + }, + { + "epoch": 0.11, + "learning_rate": 1.9627109325946557e-05, + "loss": 1.0094, + "step": 1356 + }, + { + "epoch": 0.12, + "learning_rate": 1.962636636658008e-05, + "loss": 1.023, + "step": 1357 + }, + { + "epoch": 0.12, + "learning_rate": 1.962562268189213e-05, + "loss": 0.5846, + "step": 1358 + }, + { + "epoch": 0.12, + "learning_rate": 1.9624878271938737e-05, + "loss": 1.0143, + "step": 1359 + }, + { + "epoch": 0.12, + "learning_rate": 1.9624133136775998e-05, + "loss": 0.96, + "step": 1360 + }, + { + "epoch": 0.12, + "learning_rate": 1.962338727646005e-05, + "loss": 0.986, + "step": 1361 + }, + { + "epoch": 0.12, + "learning_rate": 1.9622640691047104e-05, + "loss": 0.9963, + "step": 1362 + }, + { + "epoch": 0.12, + "learning_rate": 1.9621893380593398e-05, + "loss": 0.9915, + "step": 1363 + }, + { + "epoch": 0.12, + "learning_rate": 1.9621145345155247e-05, + "loss": 0.9804, + "step": 1364 + }, + { + "epoch": 0.12, + "learning_rate": 1.9620396584789018e-05, + "loss": 1.0466, + "step": 1365 + }, + { + "epoch": 0.12, + "learning_rate": 1.9619647099551118e-05, + "loss": 0.9835, + "step": 1366 + }, + { + "epoch": 0.12, + "learning_rate": 1.9618896889498024e-05, + "loss": 1.0197, + "step": 1367 + }, + { + "epoch": 0.12, + "learning_rate": 1.9618145954686265e-05, + "loss": 1.0086, + "step": 1368 + }, + { + "epoch": 0.12, + "learning_rate": 1.9617394295172415e-05, + "loss": 0.9895, + "step": 1369 + }, + { + "epoch": 0.12, + "learning_rate": 1.961664191101312e-05, + "loss": 0.9703, + "step": 1370 + }, + { + "epoch": 0.12, + "learning_rate": 1.961588880226506e-05, + "loss": 0.9797, + "step": 1371 + }, + { + "epoch": 0.12, + "learning_rate": 1.9615134968984984e-05, + "loss": 0.992, + "step": 1372 + }, + { + "epoch": 0.12, + "learning_rate": 1.9614380411229693e-05, + "loss": 0.9833, + "step": 1373 + }, + { + "epoch": 0.12, + "learning_rate": 1.9613625129056037e-05, + "loss": 1.0031, + "step": 1374 + }, + { + "epoch": 0.12, + "learning_rate": 1.961286912252093e-05, + "loss": 1.0139, + "step": 1375 + }, + { + "epoch": 0.12, + "learning_rate": 1.9612112391681327e-05, + "loss": 0.9507, + "step": 1376 + }, + { + "epoch": 0.12, + "learning_rate": 1.9611354936594255e-05, + "loss": 1.0264, + "step": 1377 + }, + { + "epoch": 0.12, + "learning_rate": 1.961059675731678e-05, + "loss": 0.9953, + "step": 1378 + }, + { + "epoch": 0.12, + "learning_rate": 1.9609837853906028e-05, + "loss": 0.994, + "step": 1379 + }, + { + "epoch": 0.12, + "learning_rate": 1.9609078226419186e-05, + "loss": 0.9956, + "step": 1380 + }, + { + "epoch": 0.12, + "learning_rate": 1.9608317874913484e-05, + "loss": 0.9783, + "step": 1381 + }, + { + "epoch": 0.12, + "learning_rate": 1.9607556799446218e-05, + "loss": 1.06, + "step": 1382 + }, + { + "epoch": 0.12, + "learning_rate": 1.9606795000074732e-05, + "loss": 1.0084, + "step": 1383 + }, + { + "epoch": 0.12, + "learning_rate": 1.960603247685642e-05, + "loss": 0.9513, + "step": 1384 + }, + { + "epoch": 0.12, + "learning_rate": 1.960526922984874e-05, + "loss": 0.96, + "step": 1385 + }, + { + "epoch": 0.12, + "learning_rate": 1.9604505259109207e-05, + "loss": 1.0103, + "step": 1386 + }, + { + "epoch": 0.12, + "learning_rate": 1.960374056469537e-05, + "loss": 0.9987, + "step": 1387 + }, + { + "epoch": 0.12, + "learning_rate": 1.9602975146664863e-05, + "loss": 1.0013, + "step": 1388 + }, + { + "epoch": 0.12, + "learning_rate": 1.9602209005075345e-05, + "loss": 0.9734, + "step": 1389 + }, + { + "epoch": 0.12, + "learning_rate": 1.9601442139984548e-05, + "loss": 0.9387, + "step": 1390 + }, + { + "epoch": 0.12, + "learning_rate": 1.9600674551450252e-05, + "loss": 1.0003, + "step": 1391 + }, + { + "epoch": 0.12, + "learning_rate": 1.9599906239530294e-05, + "loss": 1.0182, + "step": 1392 + }, + { + "epoch": 0.12, + "learning_rate": 1.9599137204282566e-05, + "loss": 1.0398, + "step": 1393 + }, + { + "epoch": 0.12, + "learning_rate": 1.959836744576501e-05, + "loss": 1.0293, + "step": 1394 + }, + { + "epoch": 0.12, + "learning_rate": 1.9597596964035627e-05, + "loss": 0.9999, + "step": 1395 + }, + { + "epoch": 0.12, + "learning_rate": 1.9596825759152466e-05, + "loss": 0.9825, + "step": 1396 + }, + { + "epoch": 0.12, + "learning_rate": 1.9596053831173643e-05, + "loss": 1.017, + "step": 1397 + }, + { + "epoch": 0.12, + "learning_rate": 1.9595281180157315e-05, + "loss": 1.0316, + "step": 1398 + }, + { + "epoch": 0.12, + "learning_rate": 1.9594507806161703e-05, + "loss": 0.9782, + "step": 1399 + }, + { + "epoch": 0.12, + "learning_rate": 1.9593733709245077e-05, + "loss": 0.9889, + "step": 1400 + }, + { + "epoch": 0.12, + "learning_rate": 1.959295888946576e-05, + "loss": 1.0444, + "step": 1401 + }, + { + "epoch": 0.12, + "learning_rate": 1.9592183346882135e-05, + "loss": 0.9518, + "step": 1402 + }, + { + "epoch": 0.12, + "learning_rate": 1.959140708155264e-05, + "loss": 0.9741, + "step": 1403 + }, + { + "epoch": 0.12, + "learning_rate": 1.9590630093535762e-05, + "loss": 0.9867, + "step": 1404 + }, + { + "epoch": 0.12, + "learning_rate": 1.958985238289005e-05, + "loss": 1.0124, + "step": 1405 + }, + { + "epoch": 0.12, + "learning_rate": 1.958907394967409e-05, + "loss": 1.0077, + "step": 1406 + }, + { + "epoch": 0.12, + "learning_rate": 1.9588294793946547e-05, + "loss": 1.0822, + "step": 1407 + }, + { + "epoch": 0.12, + "learning_rate": 1.9587514915766124e-05, + "loss": 1.0109, + "step": 1408 + }, + { + "epoch": 0.12, + "learning_rate": 1.958673431519158e-05, + "loss": 1.0002, + "step": 1409 + }, + { + "epoch": 0.12, + "learning_rate": 1.9585952992281737e-05, + "loss": 0.9632, + "step": 1410 + }, + { + "epoch": 0.12, + "learning_rate": 1.958517094709546e-05, + "loss": 0.987, + "step": 1411 + }, + { + "epoch": 0.12, + "learning_rate": 1.9584388179691683e-05, + "loss": 0.9979, + "step": 1412 + }, + { + "epoch": 0.12, + "learning_rate": 1.9583604690129375e-05, + "loss": 0.999, + "step": 1413 + }, + { + "epoch": 0.12, + "learning_rate": 1.958282047846757e-05, + "loss": 0.9584, + "step": 1414 + }, + { + "epoch": 0.12, + "learning_rate": 1.9582035544765366e-05, + "loss": 1.0148, + "step": 1415 + }, + { + "epoch": 0.12, + "learning_rate": 1.9581249889081898e-05, + "loss": 1.0279, + "step": 1416 + }, + { + "epoch": 0.12, + "learning_rate": 1.9580463511476365e-05, + "loss": 0.9184, + "step": 1417 + }, + { + "epoch": 0.12, + "learning_rate": 1.957967641200802e-05, + "loss": 1.0017, + "step": 1418 + }, + { + "epoch": 0.12, + "learning_rate": 1.9578888590736163e-05, + "loss": 1.0485, + "step": 1419 + }, + { + "epoch": 0.12, + "learning_rate": 1.9578100047720164e-05, + "loss": 1.0153, + "step": 1420 + }, + { + "epoch": 0.12, + "learning_rate": 1.9577310783019432e-05, + "loss": 0.9481, + "step": 1421 + }, + { + "epoch": 0.12, + "learning_rate": 1.9576520796693433e-05, + "loss": 1.0177, + "step": 1422 + }, + { + "epoch": 0.12, + "learning_rate": 1.9575730088801696e-05, + "loss": 0.963, + "step": 1423 + }, + { + "epoch": 0.12, + "learning_rate": 1.9574938659403798e-05, + "loss": 1.0057, + "step": 1424 + }, + { + "epoch": 0.12, + "learning_rate": 1.957414650855937e-05, + "loss": 0.9297, + "step": 1425 + }, + { + "epoch": 0.12, + "learning_rate": 1.9573353636328094e-05, + "loss": 1.0345, + "step": 1426 + }, + { + "epoch": 0.12, + "learning_rate": 1.957256004276972e-05, + "loss": 1.0227, + "step": 1427 + }, + { + "epoch": 0.12, + "learning_rate": 1.9571765727944034e-05, + "loss": 0.9637, + "step": 1428 + }, + { + "epoch": 0.12, + "learning_rate": 1.957097069191089e-05, + "loss": 0.981, + "step": 1429 + }, + { + "epoch": 0.12, + "learning_rate": 1.9570174934730195e-05, + "loss": 0.9984, + "step": 1430 + }, + { + "epoch": 0.12, + "learning_rate": 1.95693784564619e-05, + "loss": 1.0086, + "step": 1431 + }, + { + "epoch": 0.12, + "learning_rate": 1.9568581257166025e-05, + "loss": 1.023, + "step": 1432 + }, + { + "epoch": 0.12, + "learning_rate": 1.956778333690263e-05, + "loss": 1.028, + "step": 1433 + }, + { + "epoch": 0.12, + "learning_rate": 1.9566984695731843e-05, + "loss": 1.0099, + "step": 1434 + }, + { + "epoch": 0.12, + "learning_rate": 1.9566185333713835e-05, + "loss": 1.0283, + "step": 1435 + }, + { + "epoch": 0.12, + "learning_rate": 1.9565385250908838e-05, + "loss": 0.9728, + "step": 1436 + }, + { + "epoch": 0.12, + "learning_rate": 1.9564584447377136e-05, + "loss": 1.0092, + "step": 1437 + }, + { + "epoch": 0.12, + "learning_rate": 1.9563782923179063e-05, + "loss": 0.9603, + "step": 1438 + }, + { + "epoch": 0.12, + "learning_rate": 1.9562980678375014e-05, + "loss": 0.9741, + "step": 1439 + }, + { + "epoch": 0.12, + "learning_rate": 1.9562177713025444e-05, + "loss": 1.0033, + "step": 1440 + }, + { + "epoch": 0.12, + "learning_rate": 1.956137402719084e-05, + "loss": 0.9871, + "step": 1441 + }, + { + "epoch": 0.12, + "learning_rate": 1.956056962093177e-05, + "loss": 1.03, + "step": 1442 + }, + { + "epoch": 0.12, + "learning_rate": 1.9559764494308838e-05, + "loss": 0.9806, + "step": 1443 + }, + { + "epoch": 0.12, + "learning_rate": 1.955895864738271e-05, + "loss": 0.9806, + "step": 1444 + }, + { + "epoch": 0.12, + "learning_rate": 1.9558152080214102e-05, + "loss": 0.5907, + "step": 1445 + }, + { + "epoch": 0.12, + "learning_rate": 1.9557344792863788e-05, + "loss": 0.9846, + "step": 1446 + }, + { + "epoch": 0.12, + "learning_rate": 1.9556536785392598e-05, + "loss": 1.012, + "step": 1447 + }, + { + "epoch": 0.12, + "learning_rate": 1.955572805786141e-05, + "loss": 1.0104, + "step": 1448 + }, + { + "epoch": 0.12, + "learning_rate": 1.955491861033116e-05, + "loss": 1.0029, + "step": 1449 + }, + { + "epoch": 0.12, + "learning_rate": 1.9554108442862836e-05, + "loss": 1.0136, + "step": 1450 + }, + { + "epoch": 0.12, + "learning_rate": 1.9553297555517488e-05, + "loss": 0.5597, + "step": 1451 + }, + { + "epoch": 0.12, + "learning_rate": 1.9552485948356206e-05, + "loss": 0.9958, + "step": 1452 + }, + { + "epoch": 0.12, + "learning_rate": 1.955167362144015e-05, + "loss": 1.0037, + "step": 1453 + }, + { + "epoch": 0.12, + "learning_rate": 1.955086057483052e-05, + "loss": 0.9702, + "step": 1454 + }, + { + "epoch": 0.12, + "learning_rate": 1.955004680858858e-05, + "loss": 0.999, + "step": 1455 + }, + { + "epoch": 0.12, + "learning_rate": 1.954923232277565e-05, + "loss": 1.0258, + "step": 1456 + }, + { + "epoch": 0.12, + "learning_rate": 1.9548417117453092e-05, + "loss": 0.9961, + "step": 1457 + }, + { + "epoch": 0.12, + "learning_rate": 1.9547601192682335e-05, + "loss": 0.9983, + "step": 1458 + }, + { + "epoch": 0.12, + "learning_rate": 1.9546784548524852e-05, + "loss": 0.9822, + "step": 1459 + }, + { + "epoch": 0.12, + "learning_rate": 1.9545967185042176e-05, + "loss": 0.9503, + "step": 1460 + }, + { + "epoch": 0.12, + "learning_rate": 1.9545149102295896e-05, + "loss": 1.0249, + "step": 1461 + }, + { + "epoch": 0.12, + "learning_rate": 1.9544330300347655e-05, + "loss": 1.0041, + "step": 1462 + }, + { + "epoch": 0.12, + "learning_rate": 1.9543510779259135e-05, + "loss": 0.9407, + "step": 1463 + }, + { + "epoch": 0.12, + "learning_rate": 1.9542690539092098e-05, + "loss": 1.0271, + "step": 1464 + }, + { + "epoch": 0.12, + "learning_rate": 1.9541869579908343e-05, + "loss": 0.983, + "step": 1465 + }, + { + "epoch": 0.12, + "learning_rate": 1.9541047901769724e-05, + "loss": 1.0073, + "step": 1466 + }, + { + "epoch": 0.12, + "learning_rate": 1.9540225504738156e-05, + "loss": 0.9852, + "step": 1467 + }, + { + "epoch": 0.12, + "learning_rate": 1.9539402388875598e-05, + "loss": 0.9558, + "step": 1468 + }, + { + "epoch": 0.12, + "learning_rate": 1.9538578554244082e-05, + "loss": 1.0219, + "step": 1469 + }, + { + "epoch": 0.12, + "learning_rate": 1.953775400090567e-05, + "loss": 1.0478, + "step": 1470 + }, + { + "epoch": 0.12, + "learning_rate": 1.9536928728922496e-05, + "loss": 0.9789, + "step": 1471 + }, + { + "epoch": 0.12, + "learning_rate": 1.953610273835674e-05, + "loss": 1.003, + "step": 1472 + }, + { + "epoch": 0.12, + "learning_rate": 1.9535276029270636e-05, + "loss": 0.9684, + "step": 1473 + }, + { + "epoch": 0.12, + "learning_rate": 1.953444860172648e-05, + "loss": 0.9999, + "step": 1474 + }, + { + "epoch": 0.13, + "learning_rate": 1.9533620455786613e-05, + "loss": 1.0095, + "step": 1475 + }, + { + "epoch": 0.13, + "learning_rate": 1.9532791591513437e-05, + "loss": 0.994, + "step": 1476 + }, + { + "epoch": 0.13, + "learning_rate": 1.9531962008969396e-05, + "loss": 1.0331, + "step": 1477 + }, + { + "epoch": 0.13, + "learning_rate": 1.9531131708217005e-05, + "loss": 1.0127, + "step": 1478 + }, + { + "epoch": 0.13, + "learning_rate": 1.9530300689318823e-05, + "loss": 0.5713, + "step": 1479 + }, + { + "epoch": 0.13, + "learning_rate": 1.9529468952337468e-05, + "loss": 1.0196, + "step": 1480 + }, + { + "epoch": 0.13, + "learning_rate": 1.95286364973356e-05, + "loss": 1.0182, + "step": 1481 + }, + { + "epoch": 0.13, + "learning_rate": 1.952780332437595e-05, + "loss": 1.0339, + "step": 1482 + }, + { + "epoch": 0.13, + "learning_rate": 1.9526969433521298e-05, + "loss": 0.9914, + "step": 1483 + }, + { + "epoch": 0.13, + "learning_rate": 1.9526134824834466e-05, + "loss": 0.9887, + "step": 1484 + }, + { + "epoch": 0.13, + "learning_rate": 1.9525299498378348e-05, + "loss": 0.9978, + "step": 1485 + }, + { + "epoch": 0.13, + "learning_rate": 1.952446345421588e-05, + "loss": 0.983, + "step": 1486 + }, + { + "epoch": 0.13, + "learning_rate": 1.9523626692410052e-05, + "loss": 0.9597, + "step": 1487 + }, + { + "epoch": 0.13, + "learning_rate": 1.952278921302392e-05, + "loss": 0.95, + "step": 1488 + }, + { + "epoch": 0.13, + "learning_rate": 1.9521951016120582e-05, + "loss": 0.9799, + "step": 1489 + }, + { + "epoch": 0.13, + "learning_rate": 1.9521112101763197e-05, + "loss": 0.9727, + "step": 1490 + }, + { + "epoch": 0.13, + "learning_rate": 1.9520272470014964e-05, + "loss": 0.9978, + "step": 1491 + }, + { + "epoch": 0.13, + "learning_rate": 1.951943212093916e-05, + "loss": 1.0033, + "step": 1492 + }, + { + "epoch": 0.13, + "learning_rate": 1.9518591054599095e-05, + "loss": 1.0483, + "step": 1493 + }, + { + "epoch": 0.13, + "learning_rate": 1.9517749271058148e-05, + "loss": 0.9941, + "step": 1494 + }, + { + "epoch": 0.13, + "learning_rate": 1.951690677037974e-05, + "loss": 0.9582, + "step": 1495 + }, + { + "epoch": 0.13, + "learning_rate": 1.9516063552627347e-05, + "loss": 1.0139, + "step": 1496 + }, + { + "epoch": 0.13, + "learning_rate": 1.9515219617864515e-05, + "loss": 1.0185, + "step": 1497 + }, + { + "epoch": 0.13, + "learning_rate": 1.9514374966154826e-05, + "loss": 1.0109, + "step": 1498 + }, + { + "epoch": 0.13, + "learning_rate": 1.951352959756192e-05, + "loss": 1.0316, + "step": 1499 + }, + { + "epoch": 0.13, + "learning_rate": 1.9512683512149494e-05, + "loss": 0.9725, + "step": 1500 + }, + { + "epoch": 0.13, + "learning_rate": 1.9511836709981306e-05, + "loss": 1.0353, + "step": 1501 + }, + { + "epoch": 0.13, + "learning_rate": 1.9510989191121146e-05, + "loss": 0.5344, + "step": 1502 + }, + { + "epoch": 0.13, + "learning_rate": 1.951014095563289e-05, + "loss": 1.0142, + "step": 1503 + }, + { + "epoch": 0.13, + "learning_rate": 1.950929200358043e-05, + "loss": 0.9993, + "step": 1504 + }, + { + "epoch": 0.13, + "learning_rate": 1.950844233502775e-05, + "loss": 1.0073, + "step": 1505 + }, + { + "epoch": 0.13, + "learning_rate": 1.9507591950038864e-05, + "loss": 0.9897, + "step": 1506 + }, + { + "epoch": 0.13, + "learning_rate": 1.9506740848677845e-05, + "loss": 1.0502, + "step": 1507 + }, + { + "epoch": 0.13, + "learning_rate": 1.950588903100882e-05, + "loss": 0.9698, + "step": 1508 + }, + { + "epoch": 0.13, + "learning_rate": 1.9505036497095975e-05, + "loss": 1.0233, + "step": 1509 + }, + { + "epoch": 0.13, + "learning_rate": 1.9504183247003544e-05, + "loss": 0.989, + "step": 1510 + }, + { + "epoch": 0.13, + "learning_rate": 1.9503329280795816e-05, + "loss": 1.0191, + "step": 1511 + }, + { + "epoch": 0.13, + "learning_rate": 1.950247459853714e-05, + "loss": 0.9895, + "step": 1512 + }, + { + "epoch": 0.13, + "learning_rate": 1.950161920029191e-05, + "loss": 1.0255, + "step": 1513 + }, + { + "epoch": 0.13, + "learning_rate": 1.9500763086124576e-05, + "loss": 1.0105, + "step": 1514 + }, + { + "epoch": 0.13, + "learning_rate": 1.949990625609965e-05, + "loss": 1.0191, + "step": 1515 + }, + { + "epoch": 0.13, + "learning_rate": 1.9499048710281686e-05, + "loss": 1.0095, + "step": 1516 + }, + { + "epoch": 0.13, + "learning_rate": 1.9498190448735303e-05, + "loss": 0.9757, + "step": 1517 + }, + { + "epoch": 0.13, + "learning_rate": 1.9497331471525165e-05, + "loss": 1.0346, + "step": 1518 + }, + { + "epoch": 0.13, + "learning_rate": 1.9496471778715996e-05, + "loss": 1.0, + "step": 1519 + }, + { + "epoch": 0.13, + "learning_rate": 1.949561137037257e-05, + "loss": 0.9779, + "step": 1520 + }, + { + "epoch": 0.13, + "learning_rate": 1.9494750246559715e-05, + "loss": 1.0295, + "step": 1521 + }, + { + "epoch": 0.13, + "learning_rate": 1.949388840734232e-05, + "loss": 0.9731, + "step": 1522 + }, + { + "epoch": 0.13, + "learning_rate": 1.9493025852785314e-05, + "loss": 1.0336, + "step": 1523 + }, + { + "epoch": 0.13, + "learning_rate": 1.9492162582953698e-05, + "loss": 1.0312, + "step": 1524 + }, + { + "epoch": 0.13, + "learning_rate": 1.949129859791251e-05, + "loss": 0.9811, + "step": 1525 + }, + { + "epoch": 0.13, + "learning_rate": 1.9490433897726852e-05, + "loss": 0.9859, + "step": 1526 + }, + { + "epoch": 0.13, + "learning_rate": 1.9489568482461872e-05, + "loss": 1.018, + "step": 1527 + }, + { + "epoch": 0.13, + "learning_rate": 1.948870235218279e-05, + "loss": 0.9821, + "step": 1528 + }, + { + "epoch": 0.13, + "learning_rate": 1.9487835506954846e-05, + "loss": 0.9822, + "step": 1529 + }, + { + "epoch": 0.13, + "learning_rate": 1.948696794684337e-05, + "loss": 1.0196, + "step": 1530 + }, + { + "epoch": 0.13, + "learning_rate": 1.948609967191373e-05, + "loss": 1.0308, + "step": 1531 + }, + { + "epoch": 0.13, + "learning_rate": 1.948523068223134e-05, + "loss": 1.0325, + "step": 1532 + }, + { + "epoch": 0.13, + "learning_rate": 1.948436097786169e-05, + "loss": 0.9875, + "step": 1533 + }, + { + "epoch": 0.13, + "learning_rate": 1.948349055887029e-05, + "loss": 0.995, + "step": 1534 + }, + { + "epoch": 0.13, + "learning_rate": 1.9482619425322738e-05, + "loss": 0.9771, + "step": 1535 + }, + { + "epoch": 0.13, + "learning_rate": 1.948174757728467e-05, + "loss": 1.0044, + "step": 1536 + }, + { + "epoch": 0.13, + "learning_rate": 1.9480875014821776e-05, + "loss": 1.0284, + "step": 1537 + }, + { + "epoch": 0.13, + "learning_rate": 1.9480001737999796e-05, + "loss": 0.9587, + "step": 1538 + }, + { + "epoch": 0.13, + "learning_rate": 1.9479127746884537e-05, + "loss": 1.018, + "step": 1539 + }, + { + "epoch": 0.13, + "learning_rate": 1.9478253041541848e-05, + "loss": 1.0546, + "step": 1540 + }, + { + "epoch": 0.13, + "learning_rate": 1.947737762203764e-05, + "loss": 1.007, + "step": 1541 + }, + { + "epoch": 0.13, + "learning_rate": 1.9476501488437864e-05, + "loss": 0.9582, + "step": 1542 + }, + { + "epoch": 0.13, + "learning_rate": 1.9475624640808542e-05, + "loss": 0.9833, + "step": 1543 + }, + { + "epoch": 0.13, + "learning_rate": 1.9474747079215745e-05, + "loss": 0.9895, + "step": 1544 + }, + { + "epoch": 0.13, + "learning_rate": 1.947386880372559e-05, + "loss": 0.9745, + "step": 1545 + }, + { + "epoch": 0.13, + "learning_rate": 1.947298981440425e-05, + "loss": 1.0303, + "step": 1546 + }, + { + "epoch": 0.13, + "learning_rate": 1.9472110111317958e-05, + "loss": 1.0217, + "step": 1547 + }, + { + "epoch": 0.13, + "learning_rate": 1.9471229694533003e-05, + "loss": 1.0094, + "step": 1548 + }, + { + "epoch": 0.13, + "learning_rate": 1.947034856411571e-05, + "loss": 1.0097, + "step": 1549 + }, + { + "epoch": 0.13, + "learning_rate": 1.9469466720132478e-05, + "loss": 0.9883, + "step": 1550 + }, + { + "epoch": 0.13, + "learning_rate": 1.946858416264975e-05, + "loss": 0.9891, + "step": 1551 + }, + { + "epoch": 0.13, + "learning_rate": 1.9467700891734027e-05, + "loss": 0.9927, + "step": 1552 + }, + { + "epoch": 0.13, + "learning_rate": 1.9466816907451857e-05, + "loss": 1.0364, + "step": 1553 + }, + { + "epoch": 0.13, + "learning_rate": 1.946593220986985e-05, + "loss": 1.0176, + "step": 1554 + }, + { + "epoch": 0.13, + "learning_rate": 1.9465046799054657e-05, + "loss": 0.9606, + "step": 1555 + }, + { + "epoch": 0.13, + "learning_rate": 1.9464160675073e-05, + "loss": 1.0079, + "step": 1556 + }, + { + "epoch": 0.13, + "learning_rate": 1.9463273837991643e-05, + "loss": 1.0082, + "step": 1557 + }, + { + "epoch": 0.13, + "learning_rate": 1.946238628787741e-05, + "loss": 1.0326, + "step": 1558 + }, + { + "epoch": 0.13, + "learning_rate": 1.946149802479717e-05, + "loss": 0.9947, + "step": 1559 + }, + { + "epoch": 0.13, + "learning_rate": 1.9460609048817852e-05, + "loss": 0.9595, + "step": 1560 + }, + { + "epoch": 0.13, + "learning_rate": 1.945971936000645e-05, + "loss": 1.0335, + "step": 1561 + }, + { + "epoch": 0.13, + "learning_rate": 1.945882895842998e-05, + "loss": 1.0311, + "step": 1562 + }, + { + "epoch": 0.13, + "learning_rate": 1.9457937844155546e-05, + "loss": 0.9985, + "step": 1563 + }, + { + "epoch": 0.13, + "learning_rate": 1.9457046017250283e-05, + "loss": 0.9337, + "step": 1564 + }, + { + "epoch": 0.13, + "learning_rate": 1.9456153477781395e-05, + "loss": 0.9943, + "step": 1565 + }, + { + "epoch": 0.13, + "learning_rate": 1.9455260225816128e-05, + "loss": 0.5809, + "step": 1566 + }, + { + "epoch": 0.13, + "learning_rate": 1.9454366261421786e-05, + "loss": 0.9681, + "step": 1567 + }, + { + "epoch": 0.13, + "learning_rate": 1.945347158466573e-05, + "loss": 0.968, + "step": 1568 + }, + { + "epoch": 0.13, + "learning_rate": 1.9452576195615366e-05, + "loss": 0.9789, + "step": 1569 + }, + { + "epoch": 0.13, + "learning_rate": 1.9451680094338163e-05, + "loss": 1.0004, + "step": 1570 + }, + { + "epoch": 0.13, + "learning_rate": 1.945078328090164e-05, + "loss": 0.9795, + "step": 1571 + }, + { + "epoch": 0.13, + "learning_rate": 1.9449885755373375e-05, + "loss": 0.6491, + "step": 1572 + }, + { + "epoch": 0.13, + "learning_rate": 1.9448987517820982e-05, + "loss": 1.0279, + "step": 1573 + }, + { + "epoch": 0.13, + "learning_rate": 1.9448088568312146e-05, + "loss": 0.9982, + "step": 1574 + }, + { + "epoch": 0.13, + "learning_rate": 1.944718890691461e-05, + "loss": 0.9758, + "step": 1575 + }, + { + "epoch": 0.13, + "learning_rate": 1.9446288533696145e-05, + "loss": 0.9971, + "step": 1576 + }, + { + "epoch": 0.13, + "learning_rate": 1.94453874487246e-05, + "loss": 1.0085, + "step": 1577 + }, + { + "epoch": 0.13, + "learning_rate": 1.944448565206787e-05, + "loss": 0.5698, + "step": 1578 + }, + { + "epoch": 0.13, + "learning_rate": 1.9443583143793904e-05, + "loss": 0.9338, + "step": 1579 + }, + { + "epoch": 0.13, + "learning_rate": 1.94426799239707e-05, + "loss": 0.9982, + "step": 1580 + }, + { + "epoch": 0.13, + "learning_rate": 1.9441775992666313e-05, + "loss": 1.022, + "step": 1581 + }, + { + "epoch": 0.13, + "learning_rate": 1.9440871349948856e-05, + "loss": 1.002, + "step": 1582 + }, + { + "epoch": 0.13, + "learning_rate": 1.943996599588649e-05, + "loss": 0.9998, + "step": 1583 + }, + { + "epoch": 0.13, + "learning_rate": 1.9439059930547427e-05, + "loss": 0.9678, + "step": 1584 + }, + { + "epoch": 0.13, + "learning_rate": 1.9438153153999942e-05, + "loss": 0.9854, + "step": 1585 + }, + { + "epoch": 0.13, + "learning_rate": 1.9437245666312353e-05, + "loss": 1.0022, + "step": 1586 + }, + { + "epoch": 0.13, + "learning_rate": 1.9436337467553042e-05, + "loss": 0.996, + "step": 1587 + }, + { + "epoch": 0.13, + "learning_rate": 1.943542855779044e-05, + "loss": 0.9837, + "step": 1588 + }, + { + "epoch": 0.13, + "learning_rate": 1.9434518937093025e-05, + "loss": 0.9744, + "step": 1589 + }, + { + "epoch": 0.13, + "learning_rate": 1.943360860552934e-05, + "loss": 1.0199, + "step": 1590 + }, + { + "epoch": 0.13, + "learning_rate": 1.9432697563167974e-05, + "loss": 1.0183, + "step": 1591 + }, + { + "epoch": 0.13, + "learning_rate": 1.943178581007757e-05, + "loss": 0.9478, + "step": 1592 + }, + { + "epoch": 0.14, + "learning_rate": 1.9430873346326825e-05, + "loss": 0.9761, + "step": 1593 + }, + { + "epoch": 0.14, + "learning_rate": 1.9429960171984496e-05, + "loss": 1.0024, + "step": 1594 + }, + { + "epoch": 0.14, + "learning_rate": 1.9429046287119387e-05, + "loss": 0.9957, + "step": 1595 + }, + { + "epoch": 0.14, + "learning_rate": 1.9428131691800352e-05, + "loss": 0.9608, + "step": 1596 + }, + { + "epoch": 0.14, + "learning_rate": 1.9427216386096313e-05, + "loss": 0.9934, + "step": 1597 + }, + { + "epoch": 0.14, + "learning_rate": 1.9426300370076224e-05, + "loss": 0.9354, + "step": 1598 + }, + { + "epoch": 0.14, + "learning_rate": 1.9425383643809112e-05, + "loss": 0.977, + "step": 1599 + }, + { + "epoch": 0.14, + "learning_rate": 1.942446620736405e-05, + "loss": 0.9928, + "step": 1600 + }, + { + "epoch": 0.14, + "learning_rate": 1.942354806081016e-05, + "loss": 0.939, + "step": 1601 + }, + { + "epoch": 0.14, + "learning_rate": 1.9422629204216627e-05, + "loss": 0.9683, + "step": 1602 + }, + { + "epoch": 0.14, + "learning_rate": 1.9421709637652683e-05, + "loss": 1.0356, + "step": 1603 + }, + { + "epoch": 0.14, + "learning_rate": 1.9420789361187607e-05, + "loss": 0.9758, + "step": 1604 + }, + { + "epoch": 0.14, + "learning_rate": 1.9419868374890754e-05, + "loss": 0.986, + "step": 1605 + }, + { + "epoch": 0.14, + "learning_rate": 1.9418946678831507e-05, + "loss": 1.0344, + "step": 1606 + }, + { + "epoch": 0.14, + "learning_rate": 1.9418024273079318e-05, + "loss": 0.9976, + "step": 1607 + }, + { + "epoch": 0.14, + "learning_rate": 1.9417101157703688e-05, + "loss": 0.9582, + "step": 1608 + }, + { + "epoch": 0.14, + "learning_rate": 1.9416177332774162e-05, + "loss": 0.9864, + "step": 1609 + }, + { + "epoch": 0.14, + "learning_rate": 1.9415252798360363e-05, + "loss": 1.0008, + "step": 1610 + }, + { + "epoch": 0.14, + "learning_rate": 1.941432755453194e-05, + "loss": 1.077, + "step": 1611 + }, + { + "epoch": 0.14, + "learning_rate": 1.9413401601358616e-05, + "loss": 0.9764, + "step": 1612 + }, + { + "epoch": 0.14, + "learning_rate": 1.9412474938910157e-05, + "loss": 1.0172, + "step": 1613 + }, + { + "epoch": 0.14, + "learning_rate": 1.941154756725638e-05, + "loss": 0.5723, + "step": 1614 + }, + { + "epoch": 0.14, + "learning_rate": 1.9410619486467165e-05, + "loss": 0.9835, + "step": 1615 + }, + { + "epoch": 0.14, + "learning_rate": 1.9409690696612436e-05, + "loss": 1.0037, + "step": 1616 + }, + { + "epoch": 0.14, + "learning_rate": 1.940876119776218e-05, + "loss": 0.999, + "step": 1617 + }, + { + "epoch": 0.14, + "learning_rate": 1.940783098998643e-05, + "loss": 0.979, + "step": 1618 + }, + { + "epoch": 0.14, + "learning_rate": 1.9406900073355275e-05, + "loss": 0.9558, + "step": 1619 + }, + { + "epoch": 0.14, + "learning_rate": 1.9405968447938855e-05, + "loss": 0.9866, + "step": 1620 + }, + { + "epoch": 0.14, + "learning_rate": 1.940503611380737e-05, + "loss": 1.0152, + "step": 1621 + }, + { + "epoch": 0.14, + "learning_rate": 1.9404103071031062e-05, + "loss": 1.043, + "step": 1622 + }, + { + "epoch": 0.14, + "learning_rate": 1.940316931968024e-05, + "loss": 0.9495, + "step": 1623 + }, + { + "epoch": 0.14, + "learning_rate": 1.9402234859825257e-05, + "loss": 1.013, + "step": 1624 + }, + { + "epoch": 0.14, + "learning_rate": 1.9401299691536523e-05, + "loss": 0.9105, + "step": 1625 + }, + { + "epoch": 0.14, + "learning_rate": 1.94003638148845e-05, + "loss": 1.0002, + "step": 1626 + }, + { + "epoch": 0.14, + "learning_rate": 1.9399427229939704e-05, + "loss": 0.9951, + "step": 1627 + }, + { + "epoch": 0.14, + "learning_rate": 1.93984899367727e-05, + "loss": 1.0188, + "step": 1628 + }, + { + "epoch": 0.14, + "learning_rate": 1.939755193545412e-05, + "loss": 0.9463, + "step": 1629 + }, + { + "epoch": 0.14, + "learning_rate": 1.939661322605463e-05, + "loss": 0.9548, + "step": 1630 + }, + { + "epoch": 0.14, + "learning_rate": 1.9395673808644968e-05, + "loss": 1.0102, + "step": 1631 + }, + { + "epoch": 0.14, + "learning_rate": 1.939473368329591e-05, + "loss": 1.0019, + "step": 1632 + }, + { + "epoch": 0.14, + "learning_rate": 1.9393792850078294e-05, + "loss": 0.9536, + "step": 1633 + }, + { + "epoch": 0.14, + "learning_rate": 1.939285130906301e-05, + "loss": 0.9988, + "step": 1634 + }, + { + "epoch": 0.14, + "learning_rate": 1.9391909060321002e-05, + "loss": 0.9669, + "step": 1635 + }, + { + "epoch": 0.14, + "learning_rate": 1.939096610392326e-05, + "loss": 0.9634, + "step": 1636 + }, + { + "epoch": 0.14, + "learning_rate": 1.939002243994084e-05, + "loss": 1.0045, + "step": 1637 + }, + { + "epoch": 0.14, + "learning_rate": 1.9389078068444843e-05, + "loss": 1.0372, + "step": 1638 + }, + { + "epoch": 0.14, + "learning_rate": 1.9388132989506422e-05, + "loss": 1.0129, + "step": 1639 + }, + { + "epoch": 0.14, + "learning_rate": 1.9387187203196794e-05, + "loss": 1.0107, + "step": 1640 + }, + { + "epoch": 0.14, + "learning_rate": 1.9386240709587208e-05, + "loss": 1.0045, + "step": 1641 + }, + { + "epoch": 0.14, + "learning_rate": 1.9385293508748994e-05, + "loss": 0.9752, + "step": 1642 + }, + { + "epoch": 0.14, + "learning_rate": 1.938434560075351e-05, + "loss": 0.9617, + "step": 1643 + }, + { + "epoch": 0.14, + "learning_rate": 1.9383396985672187e-05, + "loss": 0.9897, + "step": 1644 + }, + { + "epoch": 0.14, + "learning_rate": 1.9382447663576495e-05, + "loss": 1.0124, + "step": 1645 + }, + { + "epoch": 0.14, + "learning_rate": 1.9381497634537964e-05, + "loss": 0.9569, + "step": 1646 + }, + { + "epoch": 0.14, + "learning_rate": 1.9380546898628178e-05, + "loss": 0.9524, + "step": 1647 + }, + { + "epoch": 0.14, + "learning_rate": 1.9379595455918773e-05, + "loss": 1.0144, + "step": 1648 + }, + { + "epoch": 0.14, + "learning_rate": 1.9378643306481435e-05, + "loss": 0.5965, + "step": 1649 + }, + { + "epoch": 0.14, + "learning_rate": 1.9377690450387905e-05, + "loss": 0.9816, + "step": 1650 + }, + { + "epoch": 0.14, + "learning_rate": 1.9376736887709982e-05, + "loss": 0.9403, + "step": 1651 + }, + { + "epoch": 0.14, + "learning_rate": 1.9375782618519514e-05, + "loss": 1.0192, + "step": 1652 + }, + { + "epoch": 0.14, + "learning_rate": 1.93748276428884e-05, + "loss": 0.9818, + "step": 1653 + }, + { + "epoch": 0.14, + "learning_rate": 1.9373871960888594e-05, + "loss": 0.9586, + "step": 1654 + }, + { + "epoch": 0.14, + "learning_rate": 1.937291557259211e-05, + "loss": 0.5671, + "step": 1655 + }, + { + "epoch": 0.14, + "learning_rate": 1.9371958478071e-05, + "loss": 0.9658, + "step": 1656 + }, + { + "epoch": 0.14, + "learning_rate": 1.9371000677397393e-05, + "loss": 0.9948, + "step": 1657 + }, + { + "epoch": 0.14, + "learning_rate": 1.9370042170643445e-05, + "loss": 1.0185, + "step": 1658 + }, + { + "epoch": 0.14, + "learning_rate": 1.9369082957881376e-05, + "loss": 0.9918, + "step": 1659 + }, + { + "epoch": 0.14, + "learning_rate": 1.9368123039183468e-05, + "loss": 0.9967, + "step": 1660 + }, + { + "epoch": 0.14, + "learning_rate": 1.9367162414622044e-05, + "loss": 0.9784, + "step": 1661 + }, + { + "epoch": 0.14, + "learning_rate": 1.9366201084269486e-05, + "loss": 1.0347, + "step": 1662 + }, + { + "epoch": 0.14, + "learning_rate": 1.9365239048198227e-05, + "loss": 1.0114, + "step": 1663 + }, + { + "epoch": 0.14, + "learning_rate": 1.936427630648075e-05, + "loss": 0.9617, + "step": 1664 + }, + { + "epoch": 0.14, + "learning_rate": 1.9363312859189602e-05, + "loss": 0.985, + "step": 1665 + }, + { + "epoch": 0.14, + "learning_rate": 1.9362348706397374e-05, + "loss": 0.9876, + "step": 1666 + }, + { + "epoch": 0.14, + "learning_rate": 1.936138384817671e-05, + "loss": 0.9896, + "step": 1667 + }, + { + "epoch": 0.14, + "learning_rate": 1.9360418284600313e-05, + "loss": 0.9744, + "step": 1668 + }, + { + "epoch": 0.14, + "learning_rate": 1.935945201574093e-05, + "loss": 0.9618, + "step": 1669 + }, + { + "epoch": 0.14, + "learning_rate": 1.935848504167137e-05, + "loss": 0.9737, + "step": 1670 + }, + { + "epoch": 0.14, + "learning_rate": 1.9357517362464496e-05, + "loss": 1.0066, + "step": 1671 + }, + { + "epoch": 0.14, + "learning_rate": 1.9356548978193216e-05, + "loss": 0.965, + "step": 1672 + }, + { + "epoch": 0.14, + "learning_rate": 1.9355579888930494e-05, + "loss": 1.0041, + "step": 1673 + }, + { + "epoch": 0.14, + "learning_rate": 1.9354610094749353e-05, + "loss": 1.0444, + "step": 1674 + }, + { + "epoch": 0.14, + "learning_rate": 1.9353639595722863e-05, + "loss": 1.0014, + "step": 1675 + }, + { + "epoch": 0.14, + "learning_rate": 1.9352668391924145e-05, + "loss": 0.9979, + "step": 1676 + }, + { + "epoch": 0.14, + "learning_rate": 1.9351696483426378e-05, + "loss": 0.9875, + "step": 1677 + }, + { + "epoch": 0.14, + "learning_rate": 1.935072387030279e-05, + "loss": 0.9854, + "step": 1678 + }, + { + "epoch": 0.14, + "learning_rate": 1.9349750552626672e-05, + "loss": 0.9865, + "step": 1679 + }, + { + "epoch": 0.14, + "learning_rate": 1.934877653047136e-05, + "loss": 1.0028, + "step": 1680 + }, + { + "epoch": 0.14, + "learning_rate": 1.9347801803910236e-05, + "loss": 1.0202, + "step": 1681 + }, + { + "epoch": 0.14, + "learning_rate": 1.9346826373016752e-05, + "loss": 1.01, + "step": 1682 + }, + { + "epoch": 0.14, + "learning_rate": 1.93458502378644e-05, + "loss": 1.0399, + "step": 1683 + }, + { + "epoch": 0.14, + "learning_rate": 1.9344873398526733e-05, + "loss": 1.0295, + "step": 1684 + }, + { + "epoch": 0.14, + "learning_rate": 1.9343895855077344e-05, + "loss": 0.9605, + "step": 1685 + }, + { + "epoch": 0.14, + "learning_rate": 1.9342917607589897e-05, + "loss": 1.0326, + "step": 1686 + }, + { + "epoch": 0.14, + "learning_rate": 1.9341938656138097e-05, + "loss": 0.9917, + "step": 1687 + }, + { + "epoch": 0.14, + "learning_rate": 1.9340959000795707e-05, + "loss": 0.9964, + "step": 1688 + }, + { + "epoch": 0.14, + "learning_rate": 1.9339978641636542e-05, + "loss": 0.9205, + "step": 1689 + }, + { + "epoch": 0.14, + "learning_rate": 1.9338997578734466e-05, + "loss": 0.9773, + "step": 1690 + }, + { + "epoch": 0.14, + "learning_rate": 1.9338015812163404e-05, + "loss": 0.9517, + "step": 1691 + }, + { + "epoch": 0.14, + "learning_rate": 1.9337033341997323e-05, + "loss": 0.972, + "step": 1692 + }, + { + "epoch": 0.14, + "learning_rate": 1.933605016831026e-05, + "loss": 1.0493, + "step": 1693 + }, + { + "epoch": 0.14, + "learning_rate": 1.9335066291176284e-05, + "loss": 0.9784, + "step": 1694 + }, + { + "epoch": 0.14, + "learning_rate": 1.9334081710669533e-05, + "loss": 0.9571, + "step": 1695 + }, + { + "epoch": 0.14, + "learning_rate": 1.9333096426864194e-05, + "loss": 0.9577, + "step": 1696 + }, + { + "epoch": 0.14, + "learning_rate": 1.93321104398345e-05, + "loss": 1.0175, + "step": 1697 + }, + { + "epoch": 0.14, + "learning_rate": 1.9331123749654748e-05, + "loss": 0.9695, + "step": 1698 + }, + { + "epoch": 0.14, + "learning_rate": 1.933013635639928e-05, + "loss": 0.8991, + "step": 1699 + }, + { + "epoch": 0.14, + "learning_rate": 1.932914826014249e-05, + "loss": 0.9836, + "step": 1700 + }, + { + "epoch": 0.14, + "learning_rate": 1.9328159460958833e-05, + "loss": 0.9636, + "step": 1701 + }, + { + "epoch": 0.14, + "learning_rate": 1.9327169958922813e-05, + "loss": 0.9577, + "step": 1702 + }, + { + "epoch": 0.14, + "learning_rate": 1.9326179754108985e-05, + "loss": 0.9612, + "step": 1703 + }, + { + "epoch": 0.14, + "learning_rate": 1.9325188846591958e-05, + "loss": 1.0132, + "step": 1704 + }, + { + "epoch": 0.14, + "learning_rate": 1.9324197236446397e-05, + "loss": 0.9974, + "step": 1705 + }, + { + "epoch": 0.14, + "learning_rate": 1.932320492374701e-05, + "loss": 0.9768, + "step": 1706 + }, + { + "epoch": 0.14, + "learning_rate": 1.9322211908568572e-05, + "loss": 1.0167, + "step": 1707 + }, + { + "epoch": 0.14, + "learning_rate": 1.9321218190985906e-05, + "loss": 0.9687, + "step": 1708 + }, + { + "epoch": 0.14, + "learning_rate": 1.9320223771073877e-05, + "loss": 0.9831, + "step": 1709 + }, + { + "epoch": 0.14, + "learning_rate": 1.9319228648907414e-05, + "loss": 1.0179, + "step": 1710 + }, + { + "epoch": 0.15, + "learning_rate": 1.9318232824561507e-05, + "loss": 0.651, + "step": 1711 + }, + { + "epoch": 0.15, + "learning_rate": 1.9317236298111176e-05, + "loss": 0.9533, + "step": 1712 + }, + { + "epoch": 0.15, + "learning_rate": 1.9316239069631516e-05, + "loss": 0.9577, + "step": 1713 + }, + { + "epoch": 0.15, + "learning_rate": 1.931524113919766e-05, + "loss": 0.9835, + "step": 1714 + }, + { + "epoch": 0.15, + "learning_rate": 1.93142425068848e-05, + "loss": 1.0381, + "step": 1715 + }, + { + "epoch": 0.15, + "learning_rate": 1.9313243172768183e-05, + "loss": 0.9982, + "step": 1716 + }, + { + "epoch": 0.15, + "learning_rate": 1.931224313692311e-05, + "loss": 0.9996, + "step": 1717 + }, + { + "epoch": 0.15, + "learning_rate": 1.931124239942492e-05, + "loss": 0.9895, + "step": 1718 + }, + { + "epoch": 0.15, + "learning_rate": 1.9310240960349018e-05, + "loss": 0.9611, + "step": 1719 + }, + { + "epoch": 0.15, + "learning_rate": 1.930923881977087e-05, + "loss": 0.9939, + "step": 1720 + }, + { + "epoch": 0.15, + "learning_rate": 1.9308235977765976e-05, + "loss": 1.0318, + "step": 1721 + }, + { + "epoch": 0.15, + "learning_rate": 1.9307232434409898e-05, + "loss": 0.9481, + "step": 1722 + }, + { + "epoch": 0.15, + "learning_rate": 1.9306228189778255e-05, + "loss": 1.0006, + "step": 1723 + }, + { + "epoch": 0.15, + "learning_rate": 1.930522324394671e-05, + "loss": 0.9839, + "step": 1724 + }, + { + "epoch": 0.15, + "learning_rate": 1.9304217596990983e-05, + "loss": 1.0193, + "step": 1725 + }, + { + "epoch": 0.15, + "learning_rate": 1.930321124898685e-05, + "loss": 0.9327, + "step": 1726 + }, + { + "epoch": 0.15, + "learning_rate": 1.9302204200010134e-05, + "loss": 0.5677, + "step": 1727 + }, + { + "epoch": 0.15, + "learning_rate": 1.930119645013672e-05, + "loss": 0.9356, + "step": 1728 + }, + { + "epoch": 0.15, + "learning_rate": 1.930018799944253e-05, + "loss": 0.9773, + "step": 1729 + }, + { + "epoch": 0.15, + "learning_rate": 1.9299178848003545e-05, + "loss": 0.6672, + "step": 1730 + }, + { + "epoch": 0.15, + "learning_rate": 1.9298168995895817e-05, + "loss": 1.011, + "step": 1731 + }, + { + "epoch": 0.15, + "learning_rate": 1.929715844319542e-05, + "loss": 0.9706, + "step": 1732 + }, + { + "epoch": 0.15, + "learning_rate": 1.929614718997851e-05, + "loss": 1.0335, + "step": 1733 + }, + { + "epoch": 0.15, + "learning_rate": 1.9295135236321278e-05, + "loss": 1.0138, + "step": 1734 + }, + { + "epoch": 0.15, + "learning_rate": 1.9294122582299964e-05, + "loss": 1.0153, + "step": 1735 + }, + { + "epoch": 0.15, + "learning_rate": 1.929310922799088e-05, + "loss": 1.0099, + "step": 1736 + }, + { + "epoch": 0.15, + "learning_rate": 1.9292095173470373e-05, + "loss": 0.9973, + "step": 1737 + }, + { + "epoch": 0.15, + "learning_rate": 1.9291080418814852e-05, + "loss": 0.9631, + "step": 1738 + }, + { + "epoch": 0.15, + "learning_rate": 1.9290064964100773e-05, + "loss": 1.0174, + "step": 1739 + }, + { + "epoch": 0.15, + "learning_rate": 1.9289048809404653e-05, + "loss": 1.0171, + "step": 1740 + }, + { + "epoch": 0.15, + "learning_rate": 1.928803195480305e-05, + "loss": 0.9455, + "step": 1741 + }, + { + "epoch": 0.15, + "learning_rate": 1.9287014400372584e-05, + "loss": 0.6185, + "step": 1742 + }, + { + "epoch": 0.15, + "learning_rate": 1.9285996146189932e-05, + "loss": 1.01, + "step": 1743 + }, + { + "epoch": 0.15, + "learning_rate": 1.9284977192331807e-05, + "loss": 0.9531, + "step": 1744 + }, + { + "epoch": 0.15, + "learning_rate": 1.9283957538874988e-05, + "loss": 1.015, + "step": 1745 + }, + { + "epoch": 0.15, + "learning_rate": 1.92829371858963e-05, + "loss": 0.9611, + "step": 1746 + }, + { + "epoch": 0.15, + "learning_rate": 1.9281916133472636e-05, + "loss": 0.9649, + "step": 1747 + }, + { + "epoch": 0.15, + "learning_rate": 1.9280894381680917e-05, + "loss": 0.9983, + "step": 1748 + }, + { + "epoch": 0.15, + "learning_rate": 1.927987193059813e-05, + "loss": 0.9721, + "step": 1749 + }, + { + "epoch": 0.15, + "learning_rate": 1.927884878030132e-05, + "loss": 1.0232, + "step": 1750 + }, + { + "epoch": 0.15, + "learning_rate": 1.927782493086758e-05, + "loss": 0.9845, + "step": 1751 + }, + { + "epoch": 0.15, + "learning_rate": 1.9276800382374042e-05, + "loss": 1.0065, + "step": 1752 + }, + { + "epoch": 0.15, + "learning_rate": 1.927577513489792e-05, + "loss": 1.0084, + "step": 1753 + }, + { + "epoch": 0.15, + "learning_rate": 1.927474918851645e-05, + "loss": 1.009, + "step": 1754 + }, + { + "epoch": 0.15, + "learning_rate": 1.927372254330694e-05, + "loss": 0.9948, + "step": 1755 + }, + { + "epoch": 0.15, + "learning_rate": 1.9272695199346743e-05, + "loss": 0.973, + "step": 1756 + }, + { + "epoch": 0.15, + "learning_rate": 1.9271667156713272e-05, + "loss": 0.9505, + "step": 1757 + }, + { + "epoch": 0.15, + "learning_rate": 1.927063841548398e-05, + "loss": 0.9715, + "step": 1758 + }, + { + "epoch": 0.15, + "learning_rate": 1.926960897573639e-05, + "loss": 0.9763, + "step": 1759 + }, + { + "epoch": 0.15, + "learning_rate": 1.9268578837548056e-05, + "loss": 0.9998, + "step": 1760 + }, + { + "epoch": 0.15, + "learning_rate": 1.92675480009966e-05, + "loss": 0.6651, + "step": 1761 + }, + { + "epoch": 0.15, + "learning_rate": 1.9266516466159697e-05, + "loss": 0.9865, + "step": 1762 + }, + { + "epoch": 0.15, + "learning_rate": 1.9265484233115065e-05, + "loss": 0.9801, + "step": 1763 + }, + { + "epoch": 0.15, + "learning_rate": 1.9264451301940487e-05, + "loss": 0.9908, + "step": 1764 + }, + { + "epoch": 0.15, + "learning_rate": 1.9263417672713786e-05, + "loss": 0.9983, + "step": 1765 + }, + { + "epoch": 0.15, + "learning_rate": 1.926238334551284e-05, + "loss": 1.0249, + "step": 1766 + }, + { + "epoch": 0.15, + "learning_rate": 1.9261348320415592e-05, + "loss": 0.9733, + "step": 1767 + }, + { + "epoch": 0.15, + "learning_rate": 1.926031259750002e-05, + "loss": 1.0356, + "step": 1768 + }, + { + "epoch": 0.15, + "learning_rate": 1.925927617684417e-05, + "loss": 1.0036, + "step": 1769 + }, + { + "epoch": 0.15, + "learning_rate": 1.925823905852613e-05, + "loss": 0.9724, + "step": 1770 + }, + { + "epoch": 0.15, + "learning_rate": 1.9257201242624045e-05, + "loss": 1.015, + "step": 1771 + }, + { + "epoch": 0.15, + "learning_rate": 1.925616272921611e-05, + "loss": 1.0382, + "step": 1772 + }, + { + "epoch": 0.15, + "learning_rate": 1.9255123518380573e-05, + "loss": 0.9282, + "step": 1773 + }, + { + "epoch": 0.15, + "learning_rate": 1.9254083610195745e-05, + "loss": 1.0497, + "step": 1774 + }, + { + "epoch": 0.15, + "learning_rate": 1.9253043004739967e-05, + "loss": 0.9744, + "step": 1775 + }, + { + "epoch": 0.15, + "learning_rate": 1.925200170209166e-05, + "loss": 0.9803, + "step": 1776 + }, + { + "epoch": 0.15, + "learning_rate": 1.9250959702329268e-05, + "loss": 1.024, + "step": 1777 + }, + { + "epoch": 0.15, + "learning_rate": 1.9249917005531315e-05, + "loss": 1.0095, + "step": 1778 + }, + { + "epoch": 0.15, + "learning_rate": 1.924887361177636e-05, + "loss": 0.9922, + "step": 1779 + }, + { + "epoch": 0.15, + "learning_rate": 1.9247829521143023e-05, + "loss": 1.0159, + "step": 1780 + }, + { + "epoch": 0.15, + "learning_rate": 1.9246784733709974e-05, + "loss": 0.5522, + "step": 1781 + }, + { + "epoch": 0.15, + "learning_rate": 1.9245739249555928e-05, + "loss": 1.0142, + "step": 1782 + }, + { + "epoch": 0.15, + "learning_rate": 1.9244693068759668e-05, + "loss": 0.9803, + "step": 1783 + }, + { + "epoch": 0.15, + "learning_rate": 1.9243646191400012e-05, + "loss": 0.5468, + "step": 1784 + }, + { + "epoch": 0.15, + "learning_rate": 1.924259861755585e-05, + "loss": 1.0068, + "step": 1785 + }, + { + "epoch": 0.15, + "learning_rate": 1.924155034730611e-05, + "loss": 0.9429, + "step": 1786 + }, + { + "epoch": 0.15, + "learning_rate": 1.924050138072977e-05, + "loss": 0.986, + "step": 1787 + }, + { + "epoch": 0.15, + "learning_rate": 1.9239451717905878e-05, + "loss": 0.9568, + "step": 1788 + }, + { + "epoch": 0.15, + "learning_rate": 1.9238401358913513e-05, + "loss": 0.9733, + "step": 1789 + }, + { + "epoch": 0.15, + "learning_rate": 1.9237350303831822e-05, + "loss": 1.0091, + "step": 1790 + }, + { + "epoch": 0.15, + "learning_rate": 1.9236298552739998e-05, + "loss": 0.5476, + "step": 1791 + }, + { + "epoch": 0.15, + "learning_rate": 1.923524610571729e-05, + "loss": 1.0199, + "step": 1792 + }, + { + "epoch": 0.15, + "learning_rate": 1.9234192962842996e-05, + "loss": 1.0132, + "step": 1793 + }, + { + "epoch": 0.15, + "learning_rate": 1.9233139124196464e-05, + "loss": 0.4961, + "step": 1794 + }, + { + "epoch": 0.15, + "learning_rate": 1.9232084589857103e-05, + "loss": 0.9502, + "step": 1795 + }, + { + "epoch": 0.15, + "learning_rate": 1.9231029359904366e-05, + "loss": 0.9662, + "step": 1796 + }, + { + "epoch": 0.15, + "learning_rate": 1.922997343441776e-05, + "loss": 0.9929, + "step": 1797 + }, + { + "epoch": 0.15, + "learning_rate": 1.9228916813476855e-05, + "loss": 0.9622, + "step": 1798 + }, + { + "epoch": 0.15, + "learning_rate": 1.9227859497161256e-05, + "loss": 0.9816, + "step": 1799 + }, + { + "epoch": 0.15, + "learning_rate": 1.9226801485550632e-05, + "loss": 1.0034, + "step": 1800 + }, + { + "epoch": 0.15, + "learning_rate": 1.92257427787247e-05, + "loss": 1.0355, + "step": 1801 + }, + { + "epoch": 0.15, + "learning_rate": 1.9224683376763236e-05, + "loss": 0.9883, + "step": 1802 + }, + { + "epoch": 0.15, + "learning_rate": 1.9223623279746054e-05, + "loss": 0.9699, + "step": 1803 + }, + { + "epoch": 0.15, + "learning_rate": 1.922256248775304e-05, + "loss": 1.0005, + "step": 1804 + }, + { + "epoch": 0.15, + "learning_rate": 1.9221501000864114e-05, + "loss": 1.024, + "step": 1805 + }, + { + "epoch": 0.15, + "learning_rate": 1.922043881915926e-05, + "loss": 0.9744, + "step": 1806 + }, + { + "epoch": 0.15, + "learning_rate": 1.9219375942718508e-05, + "loss": 0.9526, + "step": 1807 + }, + { + "epoch": 0.15, + "learning_rate": 1.9218312371621944e-05, + "loss": 0.9974, + "step": 1808 + }, + { + "epoch": 0.15, + "learning_rate": 1.9217248105949708e-05, + "loss": 1.0311, + "step": 1809 + }, + { + "epoch": 0.15, + "learning_rate": 1.9216183145781984e-05, + "loss": 0.9798, + "step": 1810 + }, + { + "epoch": 0.15, + "learning_rate": 1.921511749119902e-05, + "loss": 0.9931, + "step": 1811 + }, + { + "epoch": 0.15, + "learning_rate": 1.9214051142281107e-05, + "loss": 0.9565, + "step": 1812 + }, + { + "epoch": 0.15, + "learning_rate": 1.9212984099108594e-05, + "loss": 0.986, + "step": 1813 + }, + { + "epoch": 0.15, + "learning_rate": 1.921191636176188e-05, + "loss": 1.0092, + "step": 1814 + }, + { + "epoch": 0.15, + "learning_rate": 1.9210847930321407e-05, + "loss": 1.0107, + "step": 1815 + }, + { + "epoch": 0.15, + "learning_rate": 1.920977880486769e-05, + "loss": 0.9697, + "step": 1816 + }, + { + "epoch": 0.15, + "learning_rate": 1.920870898548128e-05, + "loss": 0.9162, + "step": 1817 + }, + { + "epoch": 0.15, + "learning_rate": 1.9207638472242785e-05, + "loss": 0.9846, + "step": 1818 + }, + { + "epoch": 0.15, + "learning_rate": 1.9206567265232867e-05, + "loss": 0.9916, + "step": 1819 + }, + { + "epoch": 0.15, + "learning_rate": 1.920549536453224e-05, + "loss": 0.9786, + "step": 1820 + }, + { + "epoch": 0.15, + "learning_rate": 1.9204422770221664e-05, + "loss": 0.9637, + "step": 1821 + }, + { + "epoch": 0.15, + "learning_rate": 1.920334948238196e-05, + "loss": 0.9978, + "step": 1822 + }, + { + "epoch": 0.15, + "learning_rate": 1.9202275501093994e-05, + "loss": 0.9763, + "step": 1823 + }, + { + "epoch": 0.15, + "learning_rate": 1.920120082643869e-05, + "loss": 1.0393, + "step": 1824 + }, + { + "epoch": 0.15, + "learning_rate": 1.9200125458497025e-05, + "loss": 0.9901, + "step": 1825 + }, + { + "epoch": 0.15, + "learning_rate": 1.919904939735002e-05, + "loss": 1.0171, + "step": 1826 + }, + { + "epoch": 0.15, + "learning_rate": 1.919797264307876e-05, + "loss": 0.995, + "step": 1827 + }, + { + "epoch": 0.15, + "learning_rate": 1.9196895195764363e-05, + "loss": 0.9843, + "step": 1828 + }, + { + "epoch": 0.16, + "learning_rate": 1.919581705548802e-05, + "loss": 1.0011, + "step": 1829 + }, + { + "epoch": 0.16, + "learning_rate": 1.919473822233097e-05, + "loss": 0.9631, + "step": 1830 + }, + { + "epoch": 0.16, + "learning_rate": 1.9193658696374498e-05, + "loss": 0.9702, + "step": 1831 + }, + { + "epoch": 0.16, + "learning_rate": 1.9192578477699938e-05, + "loss": 1.0015, + "step": 1832 + }, + { + "epoch": 0.16, + "learning_rate": 1.9191497566388685e-05, + "loss": 1.0238, + "step": 1833 + }, + { + "epoch": 0.16, + "learning_rate": 1.9190415962522186e-05, + "loss": 0.991, + "step": 1834 + }, + { + "epoch": 0.16, + "learning_rate": 1.9189333666181933e-05, + "loss": 0.964, + "step": 1835 + }, + { + "epoch": 0.16, + "learning_rate": 1.9188250677449477e-05, + "loss": 0.9717, + "step": 1836 + }, + { + "epoch": 0.16, + "learning_rate": 1.9187166996406413e-05, + "loss": 1.0531, + "step": 1837 + }, + { + "epoch": 0.16, + "learning_rate": 1.9186082623134397e-05, + "loss": 1.0247, + "step": 1838 + }, + { + "epoch": 0.16, + "learning_rate": 1.9184997557715138e-05, + "loss": 0.9982, + "step": 1839 + }, + { + "epoch": 0.16, + "learning_rate": 1.9183911800230384e-05, + "loss": 1.0251, + "step": 1840 + }, + { + "epoch": 0.16, + "learning_rate": 1.918282535076195e-05, + "loss": 1.015, + "step": 1841 + }, + { + "epoch": 0.16, + "learning_rate": 1.9181738209391695e-05, + "loss": 0.9959, + "step": 1842 + }, + { + "epoch": 0.16, + "learning_rate": 1.9180650376201536e-05, + "loss": 0.9798, + "step": 1843 + }, + { + "epoch": 0.16, + "learning_rate": 1.9179561851273433e-05, + "loss": 1.0081, + "step": 1844 + }, + { + "epoch": 0.16, + "learning_rate": 1.9178472634689407e-05, + "loss": 0.9876, + "step": 1845 + }, + { + "epoch": 0.16, + "learning_rate": 1.9177382726531527e-05, + "loss": 0.9847, + "step": 1846 + }, + { + "epoch": 0.16, + "learning_rate": 1.917629212688191e-05, + "loss": 0.9897, + "step": 1847 + }, + { + "epoch": 0.16, + "learning_rate": 1.917520083582274e-05, + "loss": 0.982, + "step": 1848 + }, + { + "epoch": 0.16, + "learning_rate": 1.9174108853436234e-05, + "loss": 1.0032, + "step": 1849 + }, + { + "epoch": 0.16, + "learning_rate": 1.9173016179804672e-05, + "loss": 0.9872, + "step": 1850 + }, + { + "epoch": 0.16, + "learning_rate": 1.9171922815010388e-05, + "loss": 0.9421, + "step": 1851 + }, + { + "epoch": 0.16, + "learning_rate": 1.917082875913576e-05, + "loss": 0.9499, + "step": 1852 + }, + { + "epoch": 0.16, + "learning_rate": 1.916973401226322e-05, + "loss": 0.985, + "step": 1853 + }, + { + "epoch": 0.16, + "learning_rate": 1.9168638574475264e-05, + "loss": 1.0176, + "step": 1854 + }, + { + "epoch": 0.16, + "learning_rate": 1.916754244585442e-05, + "loss": 0.969, + "step": 1855 + }, + { + "epoch": 0.16, + "learning_rate": 1.9166445626483284e-05, + "loss": 0.9982, + "step": 1856 + }, + { + "epoch": 0.16, + "learning_rate": 1.9165348116444495e-05, + "loss": 0.9849, + "step": 1857 + }, + { + "epoch": 0.16, + "learning_rate": 1.9164249915820753e-05, + "loss": 0.9583, + "step": 1858 + }, + { + "epoch": 0.16, + "learning_rate": 1.9163151024694797e-05, + "loss": 0.9879, + "step": 1859 + }, + { + "epoch": 0.16, + "learning_rate": 1.9162051443149434e-05, + "loss": 0.9945, + "step": 1860 + }, + { + "epoch": 0.16, + "learning_rate": 1.9160951171267508e-05, + "loss": 1.0364, + "step": 1861 + }, + { + "epoch": 0.16, + "learning_rate": 1.9159850209131922e-05, + "loss": 1.0316, + "step": 1862 + }, + { + "epoch": 0.16, + "learning_rate": 1.9158748556825637e-05, + "loss": 0.5847, + "step": 1863 + }, + { + "epoch": 0.16, + "learning_rate": 1.9157646214431653e-05, + "loss": 0.9733, + "step": 1864 + }, + { + "epoch": 0.16, + "learning_rate": 1.9156543182033028e-05, + "loss": 0.9882, + "step": 1865 + }, + { + "epoch": 0.16, + "learning_rate": 1.9155439459712878e-05, + "loss": 0.9897, + "step": 1866 + }, + { + "epoch": 0.16, + "learning_rate": 1.9154335047554364e-05, + "loss": 1.0258, + "step": 1867 + }, + { + "epoch": 0.16, + "learning_rate": 1.9153229945640695e-05, + "loss": 0.9937, + "step": 1868 + }, + { + "epoch": 0.16, + "learning_rate": 1.915212415405515e-05, + "loss": 0.9741, + "step": 1869 + }, + { + "epoch": 0.16, + "learning_rate": 1.9151017672881032e-05, + "loss": 1.0007, + "step": 1870 + }, + { + "epoch": 0.16, + "learning_rate": 1.914991050220172e-05, + "loss": 0.9728, + "step": 1871 + }, + { + "epoch": 0.16, + "learning_rate": 1.9148802642100638e-05, + "loss": 0.9961, + "step": 1872 + }, + { + "epoch": 0.16, + "learning_rate": 1.9147694092661254e-05, + "loss": 0.9323, + "step": 1873 + }, + { + "epoch": 0.16, + "learning_rate": 1.91465848539671e-05, + "loss": 0.9767, + "step": 1874 + }, + { + "epoch": 0.16, + "learning_rate": 1.9145474926101752e-05, + "loss": 0.9201, + "step": 1875 + }, + { + "epoch": 0.16, + "learning_rate": 1.9144364309148842e-05, + "loss": 0.9352, + "step": 1876 + }, + { + "epoch": 0.16, + "learning_rate": 1.9143253003192052e-05, + "loss": 1.0117, + "step": 1877 + }, + { + "epoch": 0.16, + "learning_rate": 1.914214100831511e-05, + "loss": 0.9728, + "step": 1878 + }, + { + "epoch": 0.16, + "learning_rate": 1.9141028324601808e-05, + "loss": 0.9761, + "step": 1879 + }, + { + "epoch": 0.16, + "learning_rate": 1.913991495213598e-05, + "loss": 0.9717, + "step": 1880 + }, + { + "epoch": 0.16, + "learning_rate": 1.913880089100152e-05, + "loss": 0.941, + "step": 1881 + }, + { + "epoch": 0.16, + "learning_rate": 1.9137686141282368e-05, + "loss": 0.9633, + "step": 1882 + }, + { + "epoch": 0.16, + "learning_rate": 1.9136570703062517e-05, + "loss": 1.0182, + "step": 1883 + }, + { + "epoch": 0.16, + "learning_rate": 1.913545457642601e-05, + "loss": 0.9636, + "step": 1884 + }, + { + "epoch": 0.16, + "learning_rate": 1.913433776145695e-05, + "loss": 1.0168, + "step": 1885 + }, + { + "epoch": 0.16, + "learning_rate": 1.913322025823948e-05, + "loss": 0.9714, + "step": 1886 + }, + { + "epoch": 0.16, + "learning_rate": 1.9132102066857803e-05, + "loss": 0.9287, + "step": 1887 + }, + { + "epoch": 0.16, + "learning_rate": 1.9130983187396174e-05, + "loss": 1.0208, + "step": 1888 + }, + { + "epoch": 0.16, + "learning_rate": 1.9129863619938894e-05, + "loss": 0.9511, + "step": 1889 + }, + { + "epoch": 0.16, + "learning_rate": 1.9128743364570322e-05, + "loss": 0.9389, + "step": 1890 + }, + { + "epoch": 0.16, + "learning_rate": 1.9127622421374866e-05, + "loss": 0.9312, + "step": 1891 + }, + { + "epoch": 0.16, + "learning_rate": 1.9126500790436985e-05, + "loss": 0.9723, + "step": 1892 + }, + { + "epoch": 0.16, + "learning_rate": 1.9125378471841195e-05, + "loss": 0.927, + "step": 1893 + }, + { + "epoch": 0.16, + "learning_rate": 1.9124255465672053e-05, + "loss": 0.529, + "step": 1894 + }, + { + "epoch": 0.16, + "learning_rate": 1.9123131772014178e-05, + "loss": 0.9962, + "step": 1895 + }, + { + "epoch": 0.16, + "learning_rate": 1.9122007390952238e-05, + "loss": 0.9472, + "step": 1896 + }, + { + "epoch": 0.16, + "learning_rate": 1.9120882322570952e-05, + "loss": 0.9762, + "step": 1897 + }, + { + "epoch": 0.16, + "learning_rate": 1.9119756566955092e-05, + "loss": 0.9923, + "step": 1898 + }, + { + "epoch": 0.16, + "learning_rate": 1.9118630124189476e-05, + "loss": 0.9684, + "step": 1899 + }, + { + "epoch": 0.16, + "learning_rate": 1.9117502994358984e-05, + "loss": 0.9969, + "step": 1900 + }, + { + "epoch": 0.16, + "learning_rate": 1.911637517754854e-05, + "loss": 0.5272, + "step": 1901 + }, + { + "epoch": 0.16, + "learning_rate": 1.911524667384312e-05, + "loss": 0.9787, + "step": 1902 + }, + { + "epoch": 0.16, + "learning_rate": 1.911411748332776e-05, + "loss": 0.9389, + "step": 1903 + }, + { + "epoch": 0.16, + "learning_rate": 1.9112987606087533e-05, + "loss": 1.0036, + "step": 1904 + }, + { + "epoch": 0.16, + "learning_rate": 1.9111857042207582e-05, + "loss": 1.0281, + "step": 1905 + }, + { + "epoch": 0.16, + "learning_rate": 1.9110725791773085e-05, + "loss": 1.0097, + "step": 1906 + }, + { + "epoch": 0.16, + "learning_rate": 1.910959385486928e-05, + "loss": 1.0184, + "step": 1907 + }, + { + "epoch": 0.16, + "learning_rate": 1.9108461231581456e-05, + "loss": 0.9691, + "step": 1908 + }, + { + "epoch": 0.16, + "learning_rate": 1.910732792199495e-05, + "loss": 1.025, + "step": 1909 + }, + { + "epoch": 0.16, + "learning_rate": 1.910619392619516e-05, + "loss": 1.0012, + "step": 1910 + }, + { + "epoch": 0.16, + "learning_rate": 1.9105059244267526e-05, + "loss": 0.9593, + "step": 1911 + }, + { + "epoch": 0.16, + "learning_rate": 1.9103923876297544e-05, + "loss": 0.9341, + "step": 1912 + }, + { + "epoch": 0.16, + "learning_rate": 1.9102787822370764e-05, + "loss": 0.9637, + "step": 1913 + }, + { + "epoch": 0.16, + "learning_rate": 1.910165108257278e-05, + "loss": 0.9691, + "step": 1914 + }, + { + "epoch": 0.16, + "learning_rate": 1.9100513656989244e-05, + "loss": 0.9971, + "step": 1915 + }, + { + "epoch": 0.16, + "learning_rate": 1.9099375545705856e-05, + "loss": 0.9488, + "step": 1916 + }, + { + "epoch": 0.16, + "learning_rate": 1.9098236748808375e-05, + "loss": 0.9708, + "step": 1917 + }, + { + "epoch": 0.16, + "learning_rate": 1.9097097266382598e-05, + "loss": 1.0015, + "step": 1918 + }, + { + "epoch": 0.16, + "learning_rate": 1.909595709851439e-05, + "loss": 1.0075, + "step": 1919 + }, + { + "epoch": 0.16, + "learning_rate": 1.909481624528966e-05, + "loss": 0.9762, + "step": 1920 + }, + { + "epoch": 0.16, + "learning_rate": 1.9093674706794363e-05, + "loss": 1.0169, + "step": 1921 + }, + { + "epoch": 0.16, + "learning_rate": 1.9092532483114513e-05, + "loss": 1.0292, + "step": 1922 + }, + { + "epoch": 0.16, + "learning_rate": 1.9091389574336173e-05, + "loss": 0.982, + "step": 1923 + }, + { + "epoch": 0.16, + "learning_rate": 1.909024598054546e-05, + "loss": 0.9764, + "step": 1924 + }, + { + "epoch": 0.16, + "learning_rate": 1.9089101701828538e-05, + "loss": 0.9357, + "step": 1925 + }, + { + "epoch": 0.16, + "learning_rate": 1.908795673827163e-05, + "loss": 0.9763, + "step": 1926 + }, + { + "epoch": 0.16, + "learning_rate": 1.9086811089961e-05, + "loss": 1.0035, + "step": 1927 + }, + { + "epoch": 0.16, + "learning_rate": 1.9085664756982975e-05, + "loss": 0.9617, + "step": 1928 + }, + { + "epoch": 0.16, + "learning_rate": 1.9084517739423923e-05, + "loss": 0.9672, + "step": 1929 + }, + { + "epoch": 0.16, + "learning_rate": 1.9083370037370276e-05, + "loss": 0.5712, + "step": 1930 + }, + { + "epoch": 0.16, + "learning_rate": 1.9082221650908505e-05, + "loss": 0.9676, + "step": 1931 + }, + { + "epoch": 0.16, + "learning_rate": 1.9081072580125137e-05, + "loss": 1.0131, + "step": 1932 + }, + { + "epoch": 0.16, + "learning_rate": 1.907992282510675e-05, + "loss": 1.0009, + "step": 1933 + }, + { + "epoch": 0.16, + "learning_rate": 1.9078772385939982e-05, + "loss": 0.9586, + "step": 1934 + }, + { + "epoch": 0.16, + "learning_rate": 1.9077621262711513e-05, + "loss": 0.9857, + "step": 1935 + }, + { + "epoch": 0.16, + "learning_rate": 1.9076469455508072e-05, + "loss": 1.0237, + "step": 1936 + }, + { + "epoch": 0.16, + "learning_rate": 1.9075316964416454e-05, + "loss": 0.9805, + "step": 1937 + }, + { + "epoch": 0.16, + "learning_rate": 1.907416378952349e-05, + "loss": 0.9852, + "step": 1938 + }, + { + "epoch": 0.16, + "learning_rate": 1.9073009930916063e-05, + "loss": 0.954, + "step": 1939 + }, + { + "epoch": 0.16, + "learning_rate": 1.9071855388681125e-05, + "loss": 0.9928, + "step": 1940 + }, + { + "epoch": 0.16, + "learning_rate": 1.9070700162905663e-05, + "loss": 0.9628, + "step": 1941 + }, + { + "epoch": 0.16, + "learning_rate": 1.906954425367672e-05, + "loss": 1.0069, + "step": 1942 + }, + { + "epoch": 0.16, + "learning_rate": 1.9068387661081388e-05, + "loss": 1.01, + "step": 1943 + }, + { + "epoch": 0.16, + "learning_rate": 1.9067230385206818e-05, + "loss": 0.9978, + "step": 1944 + }, + { + "epoch": 0.16, + "learning_rate": 1.9066072426140203e-05, + "loss": 0.9631, + "step": 1945 + }, + { + "epoch": 0.16, + "learning_rate": 1.9064913783968796e-05, + "loss": 0.9318, + "step": 1946 + }, + { + "epoch": 0.17, + "learning_rate": 1.9063754458779898e-05, + "loss": 1.0081, + "step": 1947 + }, + { + "epoch": 0.17, + "learning_rate": 1.9062594450660857e-05, + "loss": 1.0004, + "step": 1948 + }, + { + "epoch": 0.17, + "learning_rate": 1.906143375969908e-05, + "loss": 0.9923, + "step": 1949 + }, + { + "epoch": 0.17, + "learning_rate": 1.9060272385982022e-05, + "loss": 0.9951, + "step": 1950 + }, + { + "epoch": 0.17, + "learning_rate": 1.9059110329597185e-05, + "loss": 0.9912, + "step": 1951 + }, + { + "epoch": 0.17, + "learning_rate": 1.905794759063213e-05, + "loss": 1.0125, + "step": 1952 + }, + { + "epoch": 0.17, + "learning_rate": 1.9056784169174472e-05, + "loss": 0.915, + "step": 1953 + }, + { + "epoch": 0.17, + "learning_rate": 1.905562006531186e-05, + "loss": 0.9461, + "step": 1954 + }, + { + "epoch": 0.17, + "learning_rate": 1.905445527913202e-05, + "loss": 0.9966, + "step": 1955 + }, + { + "epoch": 0.17, + "learning_rate": 1.90532898107227e-05, + "loss": 1.0018, + "step": 1956 + }, + { + "epoch": 0.17, + "learning_rate": 1.905212366017173e-05, + "loss": 0.9572, + "step": 1957 + }, + { + "epoch": 0.17, + "learning_rate": 1.905095682756697e-05, + "loss": 0.9958, + "step": 1958 + }, + { + "epoch": 0.17, + "learning_rate": 1.904978931299633e-05, + "loss": 0.9636, + "step": 1959 + }, + { + "epoch": 0.17, + "learning_rate": 1.9048621116547793e-05, + "loss": 0.9375, + "step": 1960 + }, + { + "epoch": 0.17, + "learning_rate": 1.904745223830937e-05, + "loss": 1.0133, + "step": 1961 + }, + { + "epoch": 0.17, + "learning_rate": 1.9046282678369136e-05, + "loss": 1.0247, + "step": 1962 + }, + { + "epoch": 0.17, + "learning_rate": 1.9045112436815217e-05, + "loss": 0.9838, + "step": 1963 + }, + { + "epoch": 0.17, + "learning_rate": 1.904394151373578e-05, + "loss": 0.9858, + "step": 1964 + }, + { + "epoch": 0.17, + "learning_rate": 1.904276990921906e-05, + "loss": 0.9467, + "step": 1965 + }, + { + "epoch": 0.17, + "learning_rate": 1.9041597623353327e-05, + "loss": 1.0193, + "step": 1966 + }, + { + "epoch": 0.17, + "learning_rate": 1.9040424656226918e-05, + "loss": 0.9959, + "step": 1967 + }, + { + "epoch": 0.17, + "learning_rate": 1.90392510079282e-05, + "loss": 0.9997, + "step": 1968 + }, + { + "epoch": 0.17, + "learning_rate": 1.903807667854562e-05, + "loss": 0.9879, + "step": 1969 + }, + { + "epoch": 0.17, + "learning_rate": 1.903690166816765e-05, + "loss": 0.9656, + "step": 1970 + }, + { + "epoch": 0.17, + "learning_rate": 1.9035725976882827e-05, + "loss": 1.0375, + "step": 1971 + }, + { + "epoch": 0.17, + "learning_rate": 1.903454960477973e-05, + "loss": 1.0043, + "step": 1972 + }, + { + "epoch": 0.17, + "learning_rate": 1.903337255194701e-05, + "loss": 1.0097, + "step": 1973 + }, + { + "epoch": 0.17, + "learning_rate": 1.903219481847334e-05, + "loss": 0.9625, + "step": 1974 + }, + { + "epoch": 0.17, + "learning_rate": 1.903101640444747e-05, + "loss": 1.0196, + "step": 1975 + }, + { + "epoch": 0.17, + "learning_rate": 1.9029837309958185e-05, + "loss": 1.0176, + "step": 1976 + }, + { + "epoch": 0.17, + "learning_rate": 1.9028657535094327e-05, + "loss": 0.9442, + "step": 1977 + }, + { + "epoch": 0.17, + "learning_rate": 1.902747707994479e-05, + "loss": 0.9941, + "step": 1978 + }, + { + "epoch": 0.17, + "learning_rate": 1.902629594459852e-05, + "loss": 1.0298, + "step": 1979 + }, + { + "epoch": 0.17, + "learning_rate": 1.9025114129144505e-05, + "loss": 0.948, + "step": 1980 + }, + { + "epoch": 0.17, + "learning_rate": 1.90239316336718e-05, + "loss": 0.9432, + "step": 1981 + }, + { + "epoch": 0.17, + "learning_rate": 1.90227484582695e-05, + "loss": 0.9927, + "step": 1982 + }, + { + "epoch": 0.17, + "learning_rate": 1.9021564603026756e-05, + "loss": 0.9907, + "step": 1983 + }, + { + "epoch": 0.17, + "learning_rate": 1.902038006803276e-05, + "loss": 0.9722, + "step": 1984 + }, + { + "epoch": 0.17, + "learning_rate": 1.9019194853376776e-05, + "loss": 1.0218, + "step": 1985 + }, + { + "epoch": 0.17, + "learning_rate": 1.9018008959148097e-05, + "loss": 1.0015, + "step": 1986 + }, + { + "epoch": 0.17, + "learning_rate": 1.9016822385436086e-05, + "loss": 0.5429, + "step": 1987 + }, + { + "epoch": 0.17, + "learning_rate": 1.901563513233014e-05, + "loss": 0.9503, + "step": 1988 + }, + { + "epoch": 0.17, + "learning_rate": 1.9014447199919715e-05, + "loss": 0.952, + "step": 1989 + }, + { + "epoch": 0.17, + "learning_rate": 1.9013258588294324e-05, + "loss": 0.9778, + "step": 1990 + }, + { + "epoch": 0.17, + "learning_rate": 1.9012069297543527e-05, + "loss": 0.9645, + "step": 1991 + }, + { + "epoch": 0.17, + "learning_rate": 1.901087932775693e-05, + "loss": 0.9848, + "step": 1992 + }, + { + "epoch": 0.17, + "learning_rate": 1.900968867902419e-05, + "loss": 0.9814, + "step": 1993 + }, + { + "epoch": 0.17, + "learning_rate": 1.900849735143503e-05, + "loss": 1.0094, + "step": 1994 + }, + { + "epoch": 0.17, + "learning_rate": 1.9007305345079207e-05, + "loss": 0.962, + "step": 1995 + }, + { + "epoch": 0.17, + "learning_rate": 1.9006112660046535e-05, + "loss": 1.0298, + "step": 1996 + }, + { + "epoch": 0.17, + "learning_rate": 1.900491929642688e-05, + "loss": 1.0276, + "step": 1997 + }, + { + "epoch": 0.17, + "learning_rate": 1.900372525431016e-05, + "loss": 1.0015, + "step": 1998 + }, + { + "epoch": 0.17, + "learning_rate": 1.900253053378634e-05, + "loss": 0.9916, + "step": 1999 + }, + { + "epoch": 0.17, + "learning_rate": 1.9001335134945447e-05, + "loss": 0.9685, + "step": 2000 + }, + { + "epoch": 0.17, + "learning_rate": 1.9000139057877542e-05, + "loss": 0.992, + "step": 2001 + }, + { + "epoch": 0.17, + "learning_rate": 1.8998942302672753e-05, + "loss": 0.5787, + "step": 2002 + }, + { + "epoch": 0.17, + "learning_rate": 1.8997744869421248e-05, + "loss": 0.9908, + "step": 2003 + }, + { + "epoch": 0.17, + "learning_rate": 1.8996546758213248e-05, + "loss": 0.9529, + "step": 2004 + }, + { + "epoch": 0.17, + "learning_rate": 1.8995347969139034e-05, + "loss": 0.9816, + "step": 2005 + }, + { + "epoch": 0.17, + "learning_rate": 1.899414850228893e-05, + "loss": 0.9846, + "step": 2006 + }, + { + "epoch": 0.17, + "learning_rate": 1.8992948357753314e-05, + "loss": 1.0007, + "step": 2007 + }, + { + "epoch": 0.17, + "learning_rate": 1.8991747535622607e-05, + "loss": 0.9818, + "step": 2008 + }, + { + "epoch": 0.17, + "learning_rate": 1.8990546035987296e-05, + "loss": 0.9886, + "step": 2009 + }, + { + "epoch": 0.17, + "learning_rate": 1.8989343858937906e-05, + "loss": 0.9718, + "step": 2010 + }, + { + "epoch": 0.17, + "learning_rate": 1.8988141004565017e-05, + "loss": 0.9695, + "step": 2011 + }, + { + "epoch": 0.17, + "learning_rate": 1.8986937472959265e-05, + "loss": 0.937, + "step": 2012 + }, + { + "epoch": 0.17, + "learning_rate": 1.8985733264211332e-05, + "loss": 0.9521, + "step": 2013 + }, + { + "epoch": 0.17, + "learning_rate": 1.898452837841195e-05, + "loss": 0.9638, + "step": 2014 + }, + { + "epoch": 0.17, + "learning_rate": 1.8983322815651903e-05, + "loss": 0.9566, + "step": 2015 + }, + { + "epoch": 0.17, + "learning_rate": 1.8982116576022028e-05, + "loss": 0.9879, + "step": 2016 + }, + { + "epoch": 0.17, + "learning_rate": 1.8980909659613217e-05, + "loss": 0.5886, + "step": 2017 + }, + { + "epoch": 0.17, + "learning_rate": 1.8979702066516402e-05, + "loss": 0.9434, + "step": 2018 + }, + { + "epoch": 0.17, + "learning_rate": 1.897849379682257e-05, + "loss": 0.9986, + "step": 2019 + }, + { + "epoch": 0.17, + "learning_rate": 1.897728485062277e-05, + "loss": 0.9742, + "step": 2020 + }, + { + "epoch": 0.17, + "learning_rate": 1.8976075228008087e-05, + "loss": 0.5556, + "step": 2021 + }, + { + "epoch": 0.17, + "learning_rate": 1.8974864929069662e-05, + "loss": 0.9468, + "step": 2022 + }, + { + "epoch": 0.17, + "learning_rate": 1.897365395389869e-05, + "loss": 1.0074, + "step": 2023 + }, + { + "epoch": 0.17, + "learning_rate": 1.8972442302586413e-05, + "loss": 0.9384, + "step": 2024 + }, + { + "epoch": 0.17, + "learning_rate": 1.8971229975224128e-05, + "loss": 0.9681, + "step": 2025 + }, + { + "epoch": 0.17, + "learning_rate": 1.897001697190318e-05, + "loss": 0.9872, + "step": 2026 + }, + { + "epoch": 0.17, + "learning_rate": 1.8968803292714964e-05, + "loss": 0.9683, + "step": 2027 + }, + { + "epoch": 0.17, + "learning_rate": 1.8967588937750933e-05, + "loss": 1.0032, + "step": 2028 + }, + { + "epoch": 0.17, + "learning_rate": 1.8966373907102577e-05, + "loss": 0.995, + "step": 2029 + }, + { + "epoch": 0.17, + "learning_rate": 1.896515820086145e-05, + "loss": 0.9956, + "step": 2030 + }, + { + "epoch": 0.17, + "learning_rate": 1.8963941819119155e-05, + "loss": 1.0022, + "step": 2031 + }, + { + "epoch": 0.17, + "learning_rate": 1.896272476196734e-05, + "loss": 1.0098, + "step": 2032 + }, + { + "epoch": 0.17, + "learning_rate": 1.8961507029497703e-05, + "loss": 0.9918, + "step": 2033 + }, + { + "epoch": 0.17, + "learning_rate": 1.8960288621802003e-05, + "loss": 0.964, + "step": 2034 + }, + { + "epoch": 0.17, + "learning_rate": 1.8959069538972043e-05, + "loss": 0.9723, + "step": 2035 + }, + { + "epoch": 0.17, + "learning_rate": 1.8957849781099676e-05, + "loss": 0.9447, + "step": 2036 + }, + { + "epoch": 0.17, + "learning_rate": 1.8956629348276807e-05, + "loss": 1.0209, + "step": 2037 + }, + { + "epoch": 0.17, + "learning_rate": 1.8955408240595396e-05, + "loss": 0.9311, + "step": 2038 + }, + { + "epoch": 0.17, + "learning_rate": 1.8954186458147447e-05, + "loss": 0.9803, + "step": 2039 + }, + { + "epoch": 0.17, + "learning_rate": 1.895296400102502e-05, + "loss": 1.0143, + "step": 2040 + }, + { + "epoch": 0.17, + "learning_rate": 1.895174086932022e-05, + "loss": 0.9594, + "step": 2041 + }, + { + "epoch": 0.17, + "learning_rate": 1.8950517063125212e-05, + "loss": 0.9426, + "step": 2042 + }, + { + "epoch": 0.17, + "learning_rate": 1.89492925825322e-05, + "loss": 0.981, + "step": 2043 + }, + { + "epoch": 0.17, + "learning_rate": 1.8948067427633456e-05, + "loss": 1.0387, + "step": 2044 + }, + { + "epoch": 0.17, + "learning_rate": 1.8946841598521285e-05, + "loss": 0.9563, + "step": 2045 + }, + { + "epoch": 0.17, + "learning_rate": 1.8945615095288047e-05, + "loss": 1.0133, + "step": 2046 + }, + { + "epoch": 0.17, + "learning_rate": 1.8944387918026162e-05, + "loss": 0.9793, + "step": 2047 + }, + { + "epoch": 0.17, + "learning_rate": 1.8943160066828093e-05, + "loss": 0.9621, + "step": 2048 + }, + { + "epoch": 0.17, + "learning_rate": 1.8941931541786353e-05, + "loss": 0.9455, + "step": 2049 + }, + { + "epoch": 0.17, + "learning_rate": 1.8940702342993512e-05, + "loss": 0.9421, + "step": 2050 + }, + { + "epoch": 0.17, + "learning_rate": 1.8939472470542185e-05, + "loss": 1.0008, + "step": 2051 + }, + { + "epoch": 0.17, + "learning_rate": 1.8938241924525037e-05, + "loss": 1.0481, + "step": 2052 + }, + { + "epoch": 0.17, + "learning_rate": 1.8937010705034788e-05, + "loss": 0.9204, + "step": 2053 + }, + { + "epoch": 0.17, + "learning_rate": 1.893577881216421e-05, + "loss": 1.0193, + "step": 2054 + }, + { + "epoch": 0.17, + "learning_rate": 1.8934546246006122e-05, + "loss": 0.9928, + "step": 2055 + }, + { + "epoch": 0.17, + "learning_rate": 1.8933313006653392e-05, + "loss": 0.9472, + "step": 2056 + }, + { + "epoch": 0.17, + "learning_rate": 1.8932079094198944e-05, + "loss": 0.9666, + "step": 2057 + }, + { + "epoch": 0.17, + "learning_rate": 1.8930844508735746e-05, + "loss": 0.9295, + "step": 2058 + }, + { + "epoch": 0.17, + "learning_rate": 1.8929609250356827e-05, + "loss": 0.9597, + "step": 2059 + }, + { + "epoch": 0.17, + "learning_rate": 1.8928373319155255e-05, + "loss": 1.0474, + "step": 2060 + }, + { + "epoch": 0.17, + "learning_rate": 1.892713671522416e-05, + "loss": 0.9694, + "step": 2061 + }, + { + "epoch": 0.17, + "learning_rate": 1.8925899438656708e-05, + "loss": 0.9898, + "step": 2062 + }, + { + "epoch": 0.17, + "learning_rate": 1.8924661489546136e-05, + "loss": 0.9844, + "step": 2063 + }, + { + "epoch": 0.17, + "learning_rate": 1.892342286798571e-05, + "loss": 0.9302, + "step": 2064 + }, + { + "epoch": 0.18, + "learning_rate": 1.892218357406876e-05, + "loss": 1.0149, + "step": 2065 + }, + { + "epoch": 0.18, + "learning_rate": 1.8920943607888666e-05, + "loss": 0.9745, + "step": 2066 + }, + { + "epoch": 0.18, + "learning_rate": 1.8919702969538855e-05, + "loss": 0.9713, + "step": 2067 + }, + { + "epoch": 0.18, + "learning_rate": 1.8918461659112805e-05, + "loss": 1.0129, + "step": 2068 + }, + { + "epoch": 0.18, + "learning_rate": 1.8917219676704045e-05, + "loss": 0.9303, + "step": 2069 + }, + { + "epoch": 0.18, + "learning_rate": 1.8915977022406156e-05, + "loss": 1.0083, + "step": 2070 + }, + { + "epoch": 0.18, + "learning_rate": 1.891473369631277e-05, + "loss": 0.9354, + "step": 2071 + }, + { + "epoch": 0.18, + "learning_rate": 1.8913489698517566e-05, + "loss": 1.0004, + "step": 2072 + }, + { + "epoch": 0.18, + "learning_rate": 1.891224502911428e-05, + "loss": 0.9969, + "step": 2073 + }, + { + "epoch": 0.18, + "learning_rate": 1.8910999688196688e-05, + "loss": 0.964, + "step": 2074 + }, + { + "epoch": 0.18, + "learning_rate": 1.890975367585863e-05, + "loss": 0.9972, + "step": 2075 + }, + { + "epoch": 0.18, + "learning_rate": 1.8908506992193984e-05, + "loss": 0.9462, + "step": 2076 + }, + { + "epoch": 0.18, + "learning_rate": 1.890725963729669e-05, + "loss": 0.9777, + "step": 2077 + }, + { + "epoch": 0.18, + "learning_rate": 1.890601161126073e-05, + "loss": 1.0304, + "step": 2078 + }, + { + "epoch": 0.18, + "learning_rate": 1.8904762914180137e-05, + "loss": 0.9959, + "step": 2079 + }, + { + "epoch": 0.18, + "learning_rate": 1.8903513546149e-05, + "loss": 0.9947, + "step": 2080 + }, + { + "epoch": 0.18, + "learning_rate": 1.8902263507261455e-05, + "loss": 0.9288, + "step": 2081 + }, + { + "epoch": 0.18, + "learning_rate": 1.8901012797611692e-05, + "loss": 1.0192, + "step": 2082 + }, + { + "epoch": 0.18, + "learning_rate": 1.8899761417293944e-05, + "loss": 1.0005, + "step": 2083 + }, + { + "epoch": 0.18, + "learning_rate": 1.88985093664025e-05, + "loss": 0.9927, + "step": 2084 + }, + { + "epoch": 0.18, + "learning_rate": 1.88972566450317e-05, + "loss": 1.0217, + "step": 2085 + }, + { + "epoch": 0.18, + "learning_rate": 1.8896003253275934e-05, + "loss": 1.0038, + "step": 2086 + }, + { + "epoch": 0.18, + "learning_rate": 1.889474919122964e-05, + "loss": 0.9688, + "step": 2087 + }, + { + "epoch": 0.18, + "learning_rate": 1.889349445898731e-05, + "loss": 0.9752, + "step": 2088 + }, + { + "epoch": 0.18, + "learning_rate": 1.8892239056643487e-05, + "loss": 0.9378, + "step": 2089 + }, + { + "epoch": 0.18, + "learning_rate": 1.8890982984292756e-05, + "loss": 1.0375, + "step": 2090 + }, + { + "epoch": 0.18, + "learning_rate": 1.8889726242029762e-05, + "loss": 0.982, + "step": 2091 + }, + { + "epoch": 0.18, + "learning_rate": 1.88884688299492e-05, + "loss": 0.9753, + "step": 2092 + }, + { + "epoch": 0.18, + "learning_rate": 1.8887210748145806e-05, + "loss": 0.967, + "step": 2093 + }, + { + "epoch": 0.18, + "learning_rate": 1.8885951996714383e-05, + "loss": 0.9838, + "step": 2094 + }, + { + "epoch": 0.18, + "learning_rate": 1.8884692575749762e-05, + "loss": 0.9682, + "step": 2095 + }, + { + "epoch": 0.18, + "learning_rate": 1.888343248534685e-05, + "loss": 1.002, + "step": 2096 + }, + { + "epoch": 0.18, + "learning_rate": 1.888217172560058e-05, + "loss": 1.0362, + "step": 2097 + }, + { + "epoch": 0.18, + "learning_rate": 1.8880910296605956e-05, + "loss": 0.5997, + "step": 2098 + }, + { + "epoch": 0.18, + "learning_rate": 1.887964819845802e-05, + "loss": 0.977, + "step": 2099 + }, + { + "epoch": 0.18, + "learning_rate": 1.8878385431251864e-05, + "loss": 0.9706, + "step": 2100 + }, + { + "epoch": 0.18, + "learning_rate": 1.8877121995082638e-05, + "loss": 1.0092, + "step": 2101 + }, + { + "epoch": 0.18, + "learning_rate": 1.8875857890045544e-05, + "loss": 1.0055, + "step": 2102 + }, + { + "epoch": 0.18, + "learning_rate": 1.887459311623582e-05, + "loss": 0.9739, + "step": 2103 + }, + { + "epoch": 0.18, + "learning_rate": 1.8873327673748765e-05, + "loss": 0.9867, + "step": 2104 + }, + { + "epoch": 0.18, + "learning_rate": 1.887206156267973e-05, + "loss": 1.0145, + "step": 2105 + }, + { + "epoch": 0.18, + "learning_rate": 1.887079478312411e-05, + "loss": 0.9598, + "step": 2106 + }, + { + "epoch": 0.18, + "learning_rate": 1.8869527335177354e-05, + "loss": 0.9943, + "step": 2107 + }, + { + "epoch": 0.18, + "learning_rate": 1.886825921893497e-05, + "loss": 0.9333, + "step": 2108 + }, + { + "epoch": 0.18, + "learning_rate": 1.886699043449249e-05, + "loss": 1.0217, + "step": 2109 + }, + { + "epoch": 0.18, + "learning_rate": 1.886572098194553e-05, + "loss": 0.9298, + "step": 2110 + }, + { + "epoch": 0.18, + "learning_rate": 1.8864450861389727e-05, + "loss": 0.9401, + "step": 2111 + }, + { + "epoch": 0.18, + "learning_rate": 1.8863180072920786e-05, + "loss": 0.5433, + "step": 2112 + }, + { + "epoch": 0.18, + "learning_rate": 1.8861908616634465e-05, + "loss": 0.5354, + "step": 2113 + }, + { + "epoch": 0.18, + "learning_rate": 1.8860636492626555e-05, + "loss": 0.9834, + "step": 2114 + }, + { + "epoch": 0.18, + "learning_rate": 1.885936370099291e-05, + "loss": 0.9798, + "step": 2115 + }, + { + "epoch": 0.18, + "learning_rate": 1.8858090241829435e-05, + "loss": 1.0064, + "step": 2116 + }, + { + "epoch": 0.18, + "learning_rate": 1.8856816115232076e-05, + "loss": 0.9765, + "step": 2117 + }, + { + "epoch": 0.18, + "learning_rate": 1.885554132129684e-05, + "loss": 1.0018, + "step": 2118 + }, + { + "epoch": 0.18, + "learning_rate": 1.8854265860119777e-05, + "loss": 0.9922, + "step": 2119 + }, + { + "epoch": 0.18, + "learning_rate": 1.885298973179699e-05, + "loss": 0.9846, + "step": 2120 + }, + { + "epoch": 0.18, + "learning_rate": 1.885171293642463e-05, + "loss": 0.9725, + "step": 2121 + }, + { + "epoch": 0.18, + "learning_rate": 1.8850435474098903e-05, + "loss": 0.9367, + "step": 2122 + }, + { + "epoch": 0.18, + "learning_rate": 1.8849157344916066e-05, + "loss": 1.0172, + "step": 2123 + }, + { + "epoch": 0.18, + "learning_rate": 1.8847878548972417e-05, + "loss": 0.9836, + "step": 2124 + }, + { + "epoch": 0.18, + "learning_rate": 1.8846599086364307e-05, + "loss": 0.9803, + "step": 2125 + }, + { + "epoch": 0.18, + "learning_rate": 1.884531895718815e-05, + "loss": 0.9731, + "step": 2126 + }, + { + "epoch": 0.18, + "learning_rate": 1.884403816154039e-05, + "loss": 1.008, + "step": 2127 + }, + { + "epoch": 0.18, + "learning_rate": 1.884275669951754e-05, + "loss": 0.9126, + "step": 2128 + }, + { + "epoch": 0.18, + "learning_rate": 1.884147457121615e-05, + "loss": 0.9953, + "step": 2129 + }, + { + "epoch": 0.18, + "learning_rate": 1.8840191776732823e-05, + "loss": 0.994, + "step": 2130 + }, + { + "epoch": 0.18, + "learning_rate": 1.883890831616422e-05, + "loss": 0.9753, + "step": 2131 + }, + { + "epoch": 0.18, + "learning_rate": 1.8837624189607048e-05, + "loss": 0.9555, + "step": 2132 + }, + { + "epoch": 0.18, + "learning_rate": 1.8836339397158053e-05, + "loss": 0.9587, + "step": 2133 + }, + { + "epoch": 0.18, + "learning_rate": 1.883505393891405e-05, + "loss": 0.9987, + "step": 2134 + }, + { + "epoch": 0.18, + "learning_rate": 1.883376781497189e-05, + "loss": 0.9918, + "step": 2135 + }, + { + "epoch": 0.18, + "learning_rate": 1.883248102542848e-05, + "loss": 0.947, + "step": 2136 + }, + { + "epoch": 0.18, + "learning_rate": 1.8831193570380773e-05, + "loss": 0.9866, + "step": 2137 + }, + { + "epoch": 0.18, + "learning_rate": 1.882990544992578e-05, + "loss": 0.9876, + "step": 2138 + }, + { + "epoch": 0.18, + "learning_rate": 1.882861666416056e-05, + "loss": 1.0141, + "step": 2139 + }, + { + "epoch": 0.18, + "learning_rate": 1.882732721318221e-05, + "loss": 1.0077, + "step": 2140 + }, + { + "epoch": 0.18, + "learning_rate": 1.8826037097087896e-05, + "loss": 0.9764, + "step": 2141 + }, + { + "epoch": 0.18, + "learning_rate": 1.882474631597482e-05, + "loss": 0.9993, + "step": 2142 + }, + { + "epoch": 0.18, + "learning_rate": 1.8823454869940243e-05, + "loss": 1.0064, + "step": 2143 + }, + { + "epoch": 0.18, + "learning_rate": 1.8822162759081468e-05, + "loss": 0.9833, + "step": 2144 + }, + { + "epoch": 0.18, + "learning_rate": 1.8820869983495854e-05, + "loss": 0.9287, + "step": 2145 + }, + { + "epoch": 0.18, + "learning_rate": 1.881957654328081e-05, + "loss": 0.9873, + "step": 2146 + }, + { + "epoch": 0.18, + "learning_rate": 1.8818282438533788e-05, + "loss": 0.9802, + "step": 2147 + }, + { + "epoch": 0.18, + "learning_rate": 1.88169876693523e-05, + "loss": 0.98, + "step": 2148 + }, + { + "epoch": 0.18, + "learning_rate": 1.8815692235833903e-05, + "loss": 0.9451, + "step": 2149 + }, + { + "epoch": 0.18, + "learning_rate": 1.8814396138076202e-05, + "loss": 0.9633, + "step": 2150 + }, + { + "epoch": 0.18, + "learning_rate": 1.8813099376176858e-05, + "loss": 0.9232, + "step": 2151 + }, + { + "epoch": 0.18, + "learning_rate": 1.8811801950233576e-05, + "loss": 0.9107, + "step": 2152 + }, + { + "epoch": 0.18, + "learning_rate": 1.8810503860344115e-05, + "loss": 0.6533, + "step": 2153 + }, + { + "epoch": 0.18, + "learning_rate": 1.880920510660628e-05, + "loss": 0.9785, + "step": 2154 + }, + { + "epoch": 0.18, + "learning_rate": 1.8807905689117932e-05, + "loss": 1.0471, + "step": 2155 + }, + { + "epoch": 0.18, + "learning_rate": 1.8806605607976974e-05, + "loss": 0.955, + "step": 2156 + }, + { + "epoch": 0.18, + "learning_rate": 1.8805304863281372e-05, + "loss": 1.0017, + "step": 2157 + }, + { + "epoch": 0.18, + "learning_rate": 1.880400345512913e-05, + "loss": 1.006, + "step": 2158 + }, + { + "epoch": 0.18, + "learning_rate": 1.88027013836183e-05, + "loss": 0.9565, + "step": 2159 + }, + { + "epoch": 0.18, + "learning_rate": 1.8801398648846998e-05, + "loss": 0.9883, + "step": 2160 + }, + { + "epoch": 0.18, + "learning_rate": 1.8800095250913378e-05, + "loss": 1.0098, + "step": 2161 + }, + { + "epoch": 0.18, + "learning_rate": 1.8798791189915645e-05, + "loss": 0.9914, + "step": 2162 + }, + { + "epoch": 0.18, + "learning_rate": 1.879748646595206e-05, + "loss": 0.9953, + "step": 2163 + }, + { + "epoch": 0.18, + "learning_rate": 1.879618107912093e-05, + "loss": 0.976, + "step": 2164 + }, + { + "epoch": 0.18, + "learning_rate": 1.8794875029520613e-05, + "loss": 0.9784, + "step": 2165 + }, + { + "epoch": 0.18, + "learning_rate": 1.8793568317249514e-05, + "loss": 0.973, + "step": 2166 + }, + { + "epoch": 0.18, + "learning_rate": 1.8792260942406093e-05, + "loss": 0.9402, + "step": 2167 + }, + { + "epoch": 0.18, + "learning_rate": 1.8790952905088855e-05, + "loss": 1.0135, + "step": 2168 + }, + { + "epoch": 0.18, + "learning_rate": 1.878964420539636e-05, + "loss": 0.9875, + "step": 2169 + }, + { + "epoch": 0.18, + "learning_rate": 1.8788334843427213e-05, + "loss": 0.9787, + "step": 2170 + }, + { + "epoch": 0.18, + "learning_rate": 1.8787024819280073e-05, + "loss": 0.9491, + "step": 2171 + }, + { + "epoch": 0.18, + "learning_rate": 1.8785714133053643e-05, + "loss": 0.9703, + "step": 2172 + }, + { + "epoch": 0.18, + "learning_rate": 1.8784402784846683e-05, + "loss": 0.9717, + "step": 2173 + }, + { + "epoch": 0.18, + "learning_rate": 1.8783090774757993e-05, + "loss": 1.012, + "step": 2174 + }, + { + "epoch": 0.18, + "learning_rate": 1.8781778102886443e-05, + "loss": 0.9604, + "step": 2175 + }, + { + "epoch": 0.18, + "learning_rate": 1.878046476933093e-05, + "loss": 0.9805, + "step": 2176 + }, + { + "epoch": 0.18, + "learning_rate": 1.8779150774190412e-05, + "loss": 1.0309, + "step": 2177 + }, + { + "epoch": 0.18, + "learning_rate": 1.8777836117563894e-05, + "loss": 1.017, + "step": 2178 + }, + { + "epoch": 0.18, + "learning_rate": 1.8776520799550432e-05, + "loss": 0.9842, + "step": 2179 + }, + { + "epoch": 0.18, + "learning_rate": 1.8775204820249136e-05, + "loss": 0.9583, + "step": 2180 + }, + { + "epoch": 0.18, + "learning_rate": 1.8773888179759155e-05, + "loss": 0.9893, + "step": 2181 + }, + { + "epoch": 0.18, + "learning_rate": 1.87725708781797e-05, + "loss": 0.9712, + "step": 2182 + }, + { + "epoch": 0.19, + "learning_rate": 1.8771252915610022e-05, + "loss": 0.9684, + "step": 2183 + }, + { + "epoch": 0.19, + "learning_rate": 1.876993429214943e-05, + "loss": 0.9878, + "step": 2184 + }, + { + "epoch": 0.19, + "learning_rate": 1.8768615007897274e-05, + "loss": 0.9709, + "step": 2185 + }, + { + "epoch": 0.19, + "learning_rate": 1.876729506295296e-05, + "loss": 0.9846, + "step": 2186 + }, + { + "epoch": 0.19, + "learning_rate": 1.8765974457415947e-05, + "loss": 0.9579, + "step": 2187 + }, + { + "epoch": 0.19, + "learning_rate": 1.8764653191385737e-05, + "loss": 0.6284, + "step": 2188 + }, + { + "epoch": 0.19, + "learning_rate": 1.8763331264961882e-05, + "loss": 0.9888, + "step": 2189 + }, + { + "epoch": 0.19, + "learning_rate": 1.8762008678243987e-05, + "loss": 0.9744, + "step": 2190 + }, + { + "epoch": 0.19, + "learning_rate": 1.87606854313317e-05, + "loss": 0.9389, + "step": 2191 + }, + { + "epoch": 0.19, + "learning_rate": 1.8759361524324736e-05, + "loss": 0.9822, + "step": 2192 + }, + { + "epoch": 0.19, + "learning_rate": 1.8758036957322838e-05, + "loss": 1.0057, + "step": 2193 + }, + { + "epoch": 0.19, + "learning_rate": 1.875671173042581e-05, + "loss": 0.9759, + "step": 2194 + }, + { + "epoch": 0.19, + "learning_rate": 1.875538584373351e-05, + "loss": 0.9522, + "step": 2195 + }, + { + "epoch": 0.19, + "learning_rate": 1.8754059297345836e-05, + "loss": 1.0569, + "step": 2196 + }, + { + "epoch": 0.19, + "learning_rate": 1.8752732091362737e-05, + "loss": 0.9903, + "step": 2197 + }, + { + "epoch": 0.19, + "learning_rate": 1.8751404225884218e-05, + "loss": 0.9883, + "step": 2198 + }, + { + "epoch": 0.19, + "learning_rate": 1.8750075701010332e-05, + "loss": 0.9735, + "step": 2199 + }, + { + "epoch": 0.19, + "learning_rate": 1.8748746516841173e-05, + "loss": 0.5533, + "step": 2200 + }, + { + "epoch": 0.19, + "learning_rate": 1.87474166734769e-05, + "loss": 0.963, + "step": 2201 + }, + { + "epoch": 0.19, + "learning_rate": 1.874608617101771e-05, + "loss": 0.9534, + "step": 2202 + }, + { + "epoch": 0.19, + "learning_rate": 1.874475500956385e-05, + "loss": 0.9858, + "step": 2203 + }, + { + "epoch": 0.19, + "learning_rate": 1.874342318921562e-05, + "loss": 0.9993, + "step": 2204 + }, + { + "epoch": 0.19, + "learning_rate": 1.8742090710073375e-05, + "loss": 0.9903, + "step": 2205 + }, + { + "epoch": 0.19, + "learning_rate": 1.874075757223751e-05, + "loss": 0.9675, + "step": 2206 + }, + { + "epoch": 0.19, + "learning_rate": 1.8739423775808466e-05, + "loss": 0.9956, + "step": 2207 + }, + { + "epoch": 0.19, + "learning_rate": 1.8738089320886756e-05, + "loss": 0.9464, + "step": 2208 + }, + { + "epoch": 0.19, + "learning_rate": 1.873675420757292e-05, + "loss": 0.9357, + "step": 2209 + }, + { + "epoch": 0.19, + "learning_rate": 1.8735418435967546e-05, + "loss": 0.9796, + "step": 2210 + }, + { + "epoch": 0.19, + "learning_rate": 1.87340820061713e-05, + "loss": 0.983, + "step": 2211 + }, + { + "epoch": 0.19, + "learning_rate": 1.8732744918284866e-05, + "loss": 1.0358, + "step": 2212 + }, + { + "epoch": 0.19, + "learning_rate": 1.873140717240899e-05, + "loss": 0.9507, + "step": 2213 + }, + { + "epoch": 0.19, + "learning_rate": 1.873006876864447e-05, + "loss": 0.9875, + "step": 2214 + }, + { + "epoch": 0.19, + "learning_rate": 1.8728729707092156e-05, + "loss": 0.9784, + "step": 2215 + }, + { + "epoch": 0.19, + "learning_rate": 1.8727389987852933e-05, + "loss": 1.0108, + "step": 2216 + }, + { + "epoch": 0.19, + "learning_rate": 1.8726049611027753e-05, + "loss": 0.9977, + "step": 2217 + }, + { + "epoch": 0.19, + "learning_rate": 1.8724708576717607e-05, + "loss": 0.9872, + "step": 2218 + }, + { + "epoch": 0.19, + "learning_rate": 1.872336688502354e-05, + "loss": 0.9669, + "step": 2219 + }, + { + "epoch": 0.19, + "learning_rate": 1.8722024536046644e-05, + "loss": 0.9522, + "step": 2220 + }, + { + "epoch": 0.19, + "learning_rate": 1.8720681529888057e-05, + "loss": 0.9802, + "step": 2221 + }, + { + "epoch": 0.19, + "learning_rate": 1.871933786664898e-05, + "loss": 0.9734, + "step": 2222 + }, + { + "epoch": 0.19, + "learning_rate": 1.871799354643065e-05, + "loss": 0.9803, + "step": 2223 + }, + { + "epoch": 0.19, + "learning_rate": 1.8716648569334355e-05, + "loss": 0.9799, + "step": 2224 + }, + { + "epoch": 0.19, + "learning_rate": 1.8715302935461438e-05, + "loss": 0.9641, + "step": 2225 + }, + { + "epoch": 0.19, + "learning_rate": 1.8713956644913295e-05, + "loss": 0.9473, + "step": 2226 + }, + { + "epoch": 0.19, + "learning_rate": 1.871260969779135e-05, + "loss": 0.9983, + "step": 2227 + }, + { + "epoch": 0.19, + "learning_rate": 1.871126209419711e-05, + "loss": 0.9774, + "step": 2228 + }, + { + "epoch": 0.19, + "learning_rate": 1.87099138342321e-05, + "loss": 0.9321, + "step": 2229 + }, + { + "epoch": 0.19, + "learning_rate": 1.8708564917997917e-05, + "loss": 1.0315, + "step": 2230 + }, + { + "epoch": 0.19, + "learning_rate": 1.8707215345596192e-05, + "loss": 0.9648, + "step": 2231 + }, + { + "epoch": 0.19, + "learning_rate": 1.8705865117128615e-05, + "loss": 0.955, + "step": 2232 + }, + { + "epoch": 0.19, + "learning_rate": 1.870451423269692e-05, + "loss": 0.9803, + "step": 2233 + }, + { + "epoch": 0.19, + "learning_rate": 1.8703162692402895e-05, + "loss": 0.6291, + "step": 2234 + }, + { + "epoch": 0.19, + "learning_rate": 1.8701810496348373e-05, + "loss": 1.0029, + "step": 2235 + }, + { + "epoch": 0.19, + "learning_rate": 1.870045764463524e-05, + "loss": 0.9839, + "step": 2236 + }, + { + "epoch": 0.19, + "learning_rate": 1.869910413736543e-05, + "loss": 1.0224, + "step": 2237 + }, + { + "epoch": 0.19, + "learning_rate": 1.8697749974640924e-05, + "loss": 0.9846, + "step": 2238 + }, + { + "epoch": 0.19, + "learning_rate": 1.8696395156563753e-05, + "loss": 0.9567, + "step": 2239 + }, + { + "epoch": 0.19, + "learning_rate": 1.8695039683236006e-05, + "loss": 0.9839, + "step": 2240 + }, + { + "epoch": 0.19, + "learning_rate": 1.869368355475981e-05, + "loss": 0.9537, + "step": 2241 + }, + { + "epoch": 0.19, + "learning_rate": 1.8692326771237344e-05, + "loss": 0.9763, + "step": 2242 + }, + { + "epoch": 0.19, + "learning_rate": 1.869096933277084e-05, + "loss": 0.9847, + "step": 2243 + }, + { + "epoch": 0.19, + "learning_rate": 1.868961123946258e-05, + "loss": 0.9972, + "step": 2244 + }, + { + "epoch": 0.19, + "learning_rate": 1.8688252491414886e-05, + "loss": 0.9522, + "step": 2245 + }, + { + "epoch": 0.19, + "learning_rate": 1.8686893088730143e-05, + "loss": 1.0026, + "step": 2246 + }, + { + "epoch": 0.19, + "learning_rate": 1.8685533031510777e-05, + "loss": 0.93, + "step": 2247 + }, + { + "epoch": 0.19, + "learning_rate": 1.8684172319859258e-05, + "loss": 0.9469, + "step": 2248 + }, + { + "epoch": 0.19, + "learning_rate": 1.8682810953878124e-05, + "loss": 0.9131, + "step": 2249 + }, + { + "epoch": 0.19, + "learning_rate": 1.8681448933669942e-05, + "loss": 0.9179, + "step": 2250 + }, + { + "epoch": 0.19, + "learning_rate": 1.8680086259337337e-05, + "loss": 1.0111, + "step": 2251 + }, + { + "epoch": 0.19, + "learning_rate": 1.8678722930982984e-05, + "loss": 0.9485, + "step": 2252 + }, + { + "epoch": 0.19, + "learning_rate": 1.867735894870961e-05, + "loss": 0.9779, + "step": 2253 + }, + { + "epoch": 0.19, + "learning_rate": 1.867599431261998e-05, + "loss": 0.9507, + "step": 2254 + }, + { + "epoch": 0.19, + "learning_rate": 1.8674629022816925e-05, + "loss": 0.9271, + "step": 2255 + }, + { + "epoch": 0.19, + "learning_rate": 1.867326307940331e-05, + "loss": 0.9656, + "step": 2256 + }, + { + "epoch": 0.19, + "learning_rate": 1.867189648248205e-05, + "loss": 0.9379, + "step": 2257 + }, + { + "epoch": 0.19, + "learning_rate": 1.8670529232156128e-05, + "loss": 0.986, + "step": 2258 + }, + { + "epoch": 0.19, + "learning_rate": 1.8669161328528553e-05, + "loss": 1.0042, + "step": 2259 + }, + { + "epoch": 0.19, + "learning_rate": 1.8667792771702397e-05, + "loss": 0.987, + "step": 2260 + }, + { + "epoch": 0.19, + "learning_rate": 1.8666423561780773e-05, + "loss": 0.9815, + "step": 2261 + }, + { + "epoch": 0.19, + "learning_rate": 1.866505369886685e-05, + "loss": 0.9842, + "step": 2262 + }, + { + "epoch": 0.19, + "learning_rate": 1.8663683183063846e-05, + "loss": 0.9835, + "step": 2263 + }, + { + "epoch": 0.19, + "learning_rate": 1.8662312014475023e-05, + "loss": 1.0073, + "step": 2264 + }, + { + "epoch": 0.19, + "learning_rate": 1.8662312014475023e-05, + "loss": 0.9628, + "step": 2265 + }, + { + "epoch": 0.19, + "learning_rate": 1.8660940193203694e-05, + "loss": 0.9985, + "step": 2266 + }, + { + "epoch": 0.19, + "learning_rate": 1.8659567719353223e-05, + "loss": 0.907, + "step": 2267 + }, + { + "epoch": 0.19, + "learning_rate": 1.8658194593027025e-05, + "loss": 0.581, + "step": 2268 + }, + { + "epoch": 0.19, + "learning_rate": 1.8656820814328557e-05, + "loss": 1.0461, + "step": 2269 + }, + { + "epoch": 0.19, + "learning_rate": 1.8655446383361332e-05, + "loss": 0.9961, + "step": 2270 + }, + { + "epoch": 0.19, + "learning_rate": 1.865407130022891e-05, + "loss": 1.0152, + "step": 2271 + }, + { + "epoch": 0.19, + "learning_rate": 1.8652695565034898e-05, + "loss": 0.9892, + "step": 2272 + }, + { + "epoch": 0.19, + "learning_rate": 1.8651319177882957e-05, + "loss": 0.626, + "step": 2273 + }, + { + "epoch": 0.19, + "learning_rate": 1.8649942138876792e-05, + "loss": 0.9582, + "step": 2274 + }, + { + "epoch": 0.19, + "learning_rate": 1.864856444812016e-05, + "loss": 0.9926, + "step": 2275 + }, + { + "epoch": 0.19, + "learning_rate": 1.864718610571687e-05, + "loss": 0.97, + "step": 2276 + }, + { + "epoch": 0.19, + "learning_rate": 1.8645807111770767e-05, + "loss": 1.0199, + "step": 2277 + }, + { + "epoch": 0.19, + "learning_rate": 1.8644427466385764e-05, + "loss": 1.0562, + "step": 2278 + }, + { + "epoch": 0.19, + "learning_rate": 1.864304716966581e-05, + "loss": 0.9902, + "step": 2279 + }, + { + "epoch": 0.19, + "learning_rate": 1.8641666221714904e-05, + "loss": 1.0068, + "step": 2280 + }, + { + "epoch": 0.19, + "learning_rate": 1.8640284622637102e-05, + "loss": 0.9419, + "step": 2281 + }, + { + "epoch": 0.19, + "learning_rate": 1.8638902372536502e-05, + "loss": 0.9913, + "step": 2282 + }, + { + "epoch": 0.19, + "learning_rate": 1.8637519471517252e-05, + "loss": 1.0212, + "step": 2283 + }, + { + "epoch": 0.19, + "learning_rate": 1.863613591968355e-05, + "loss": 0.9791, + "step": 2284 + }, + { + "epoch": 0.19, + "learning_rate": 1.8634751717139644e-05, + "loss": 1.0073, + "step": 2285 + }, + { + "epoch": 0.19, + "learning_rate": 1.863336686398983e-05, + "loss": 1.0432, + "step": 2286 + }, + { + "epoch": 0.19, + "learning_rate": 1.8631981360338453e-05, + "loss": 0.8868, + "step": 2287 + }, + { + "epoch": 0.19, + "learning_rate": 1.8630595206289904e-05, + "loss": 0.9925, + "step": 2288 + }, + { + "epoch": 0.19, + "learning_rate": 1.862920840194863e-05, + "loss": 0.9978, + "step": 2289 + }, + { + "epoch": 0.19, + "learning_rate": 1.862782094741912e-05, + "loss": 0.9592, + "step": 2290 + }, + { + "epoch": 0.19, + "learning_rate": 1.862643284280592e-05, + "loss": 0.931, + "step": 2291 + }, + { + "epoch": 0.19, + "learning_rate": 1.8625044088213615e-05, + "loss": 0.5324, + "step": 2292 + }, + { + "epoch": 0.19, + "learning_rate": 1.8623654683746845e-05, + "loss": 0.9968, + "step": 2293 + }, + { + "epoch": 0.19, + "learning_rate": 1.86222646295103e-05, + "loss": 0.9863, + "step": 2294 + }, + { + "epoch": 0.19, + "learning_rate": 1.8620873925608717e-05, + "loss": 0.9751, + "step": 2295 + }, + { + "epoch": 0.19, + "learning_rate": 1.8619482572146877e-05, + "loss": 0.9114, + "step": 2296 + }, + { + "epoch": 0.19, + "learning_rate": 1.861809056922962e-05, + "loss": 0.9724, + "step": 2297 + }, + { + "epoch": 0.19, + "learning_rate": 1.861669791696183e-05, + "loss": 0.9986, + "step": 2298 + }, + { + "epoch": 0.19, + "learning_rate": 1.861530461544844e-05, + "loss": 0.4722, + "step": 2299 + }, + { + "epoch": 0.19, + "learning_rate": 1.8613910664794424e-05, + "loss": 0.9063, + "step": 2300 + }, + { + "epoch": 0.2, + "learning_rate": 1.861251606510482e-05, + "loss": 0.9897, + "step": 2301 + }, + { + "epoch": 0.2, + "learning_rate": 1.8611120816484708e-05, + "loss": 0.9054, + "step": 2302 + }, + { + "epoch": 0.2, + "learning_rate": 1.8609724919039213e-05, + "loss": 0.9848, + "step": 2303 + }, + { + "epoch": 0.2, + "learning_rate": 1.860832837287351e-05, + "loss": 0.526, + "step": 2304 + }, + { + "epoch": 0.2, + "learning_rate": 1.8606931178092832e-05, + "loss": 0.9606, + "step": 2305 + }, + { + "epoch": 0.2, + "learning_rate": 1.8605533334802448e-05, + "loss": 0.9998, + "step": 2306 + }, + { + "epoch": 0.2, + "learning_rate": 1.8604134843107685e-05, + "loss": 1.0206, + "step": 2307 + }, + { + "epoch": 0.2, + "learning_rate": 1.8602735703113914e-05, + "loss": 1.0334, + "step": 2308 + }, + { + "epoch": 0.2, + "learning_rate": 1.8601335914926558e-05, + "loss": 0.9781, + "step": 2309 + }, + { + "epoch": 0.2, + "learning_rate": 1.8599935478651082e-05, + "loss": 0.9215, + "step": 2310 + }, + { + "epoch": 0.2, + "learning_rate": 1.859853439439302e-05, + "loss": 0.9835, + "step": 2311 + }, + { + "epoch": 0.2, + "learning_rate": 1.859713266225792e-05, + "loss": 0.9392, + "step": 2312 + }, + { + "epoch": 0.2, + "learning_rate": 1.859573028235141e-05, + "loss": 0.9852, + "step": 2313 + }, + { + "epoch": 0.2, + "learning_rate": 1.859432725477916e-05, + "loss": 0.9967, + "step": 2314 + }, + { + "epoch": 0.2, + "learning_rate": 1.8592923579646874e-05, + "loss": 0.9413, + "step": 2315 + }, + { + "epoch": 0.2, + "learning_rate": 1.859151925706032e-05, + "loss": 0.9491, + "step": 2316 + }, + { + "epoch": 0.2, + "learning_rate": 1.8590114287125313e-05, + "loss": 0.9465, + "step": 2317 + }, + { + "epoch": 0.2, + "learning_rate": 1.858870866994771e-05, + "loss": 1.0, + "step": 2318 + }, + { + "epoch": 0.2, + "learning_rate": 1.858730240563342e-05, + "loss": 0.9454, + "step": 2319 + }, + { + "epoch": 0.2, + "learning_rate": 1.85858954942884e-05, + "loss": 0.9511, + "step": 2320 + }, + { + "epoch": 0.2, + "learning_rate": 1.8584487936018663e-05, + "loss": 0.9254, + "step": 2321 + }, + { + "epoch": 0.2, + "learning_rate": 1.8583079730930264e-05, + "loss": 0.9592, + "step": 2322 + }, + { + "epoch": 0.2, + "learning_rate": 1.85816708791293e-05, + "loss": 0.9788, + "step": 2323 + }, + { + "epoch": 0.2, + "learning_rate": 1.8580261380721932e-05, + "loss": 0.9493, + "step": 2324 + }, + { + "epoch": 0.2, + "learning_rate": 1.857885123581436e-05, + "loss": 0.9957, + "step": 2325 + }, + { + "epoch": 0.2, + "learning_rate": 1.857744044451283e-05, + "loss": 0.9645, + "step": 2326 + }, + { + "epoch": 0.2, + "learning_rate": 1.8576029006923653e-05, + "loss": 0.9536, + "step": 2327 + }, + { + "epoch": 0.2, + "learning_rate": 1.8574616923153163e-05, + "loss": 0.9734, + "step": 2328 + }, + { + "epoch": 0.2, + "learning_rate": 1.8573204193307767e-05, + "loss": 0.969, + "step": 2329 + }, + { + "epoch": 0.2, + "learning_rate": 1.857179081749391e-05, + "loss": 0.9202, + "step": 2330 + }, + { + "epoch": 0.2, + "learning_rate": 1.8570376795818078e-05, + "loss": 1.0142, + "step": 2331 + }, + { + "epoch": 0.2, + "learning_rate": 1.8568962128386817e-05, + "loss": 0.9961, + "step": 2332 + }, + { + "epoch": 0.2, + "learning_rate": 1.8567546815306726e-05, + "loss": 1.0044, + "step": 2333 + }, + { + "epoch": 0.2, + "learning_rate": 1.8566130856684437e-05, + "loss": 0.9987, + "step": 2334 + }, + { + "epoch": 0.2, + "learning_rate": 1.856471425262664e-05, + "loss": 1.0163, + "step": 2335 + }, + { + "epoch": 0.2, + "learning_rate": 1.8563297003240078e-05, + "loss": 0.9391, + "step": 2336 + }, + { + "epoch": 0.2, + "learning_rate": 1.8561879108631533e-05, + "loss": 0.977, + "step": 2337 + }, + { + "epoch": 0.2, + "learning_rate": 1.8560460568907836e-05, + "loss": 0.9607, + "step": 2338 + }, + { + "epoch": 0.2, + "learning_rate": 1.8559041384175874e-05, + "loss": 0.9526, + "step": 2339 + }, + { + "epoch": 0.2, + "learning_rate": 1.855762155454258e-05, + "loss": 0.9664, + "step": 2340 + }, + { + "epoch": 0.2, + "learning_rate": 1.8556201080114934e-05, + "loss": 0.9894, + "step": 2341 + }, + { + "epoch": 0.2, + "learning_rate": 1.8554779960999963e-05, + "loss": 0.9464, + "step": 2342 + }, + { + "epoch": 0.2, + "learning_rate": 1.8553358197304744e-05, + "loss": 0.9933, + "step": 2343 + }, + { + "epoch": 0.2, + "learning_rate": 1.855193578913641e-05, + "loss": 0.9397, + "step": 2344 + }, + { + "epoch": 0.2, + "learning_rate": 1.8550512736602125e-05, + "loss": 1.0386, + "step": 2345 + }, + { + "epoch": 0.2, + "learning_rate": 1.854908903980912e-05, + "loss": 1.0361, + "step": 2346 + }, + { + "epoch": 0.2, + "learning_rate": 1.8547664698864666e-05, + "loss": 0.9341, + "step": 2347 + }, + { + "epoch": 0.2, + "learning_rate": 1.8546239713876077e-05, + "loss": 0.9682, + "step": 2348 + }, + { + "epoch": 0.2, + "learning_rate": 1.854481408495073e-05, + "loss": 0.9709, + "step": 2349 + }, + { + "epoch": 0.2, + "learning_rate": 1.854338781219604e-05, + "loss": 0.9553, + "step": 2350 + }, + { + "epoch": 0.2, + "learning_rate": 1.8541960895719473e-05, + "loss": 0.9667, + "step": 2351 + }, + { + "epoch": 0.2, + "learning_rate": 1.8540533335628542e-05, + "loss": 0.9729, + "step": 2352 + }, + { + "epoch": 0.2, + "learning_rate": 1.853910513203081e-05, + "loss": 0.9705, + "step": 2353 + }, + { + "epoch": 0.2, + "learning_rate": 1.8537676285033886e-05, + "loss": 0.9443, + "step": 2354 + }, + { + "epoch": 0.2, + "learning_rate": 1.8536246794745437e-05, + "loss": 0.98, + "step": 2355 + }, + { + "epoch": 0.2, + "learning_rate": 1.8534816661273165e-05, + "loss": 0.9852, + "step": 2356 + }, + { + "epoch": 0.2, + "learning_rate": 1.853338588472483e-05, + "loss": 0.9499, + "step": 2357 + }, + { + "epoch": 0.2, + "learning_rate": 1.8531954465208234e-05, + "loss": 0.9796, + "step": 2358 + }, + { + "epoch": 0.2, + "learning_rate": 1.8530522402831236e-05, + "loss": 0.9459, + "step": 2359 + }, + { + "epoch": 0.2, + "learning_rate": 1.8529089697701735e-05, + "loss": 0.959, + "step": 2360 + }, + { + "epoch": 0.2, + "learning_rate": 1.852765634992768e-05, + "loss": 0.9385, + "step": 2361 + }, + { + "epoch": 0.2, + "learning_rate": 1.8526222359617073e-05, + "loss": 0.9633, + "step": 2362 + }, + { + "epoch": 0.2, + "learning_rate": 1.8524787726877956e-05, + "loss": 0.9399, + "step": 2363 + }, + { + "epoch": 0.2, + "learning_rate": 1.8523352451818435e-05, + "loss": 0.8967, + "step": 2364 + }, + { + "epoch": 0.2, + "learning_rate": 1.8521916534546643e-05, + "loss": 0.9404, + "step": 2365 + }, + { + "epoch": 0.2, + "learning_rate": 1.8520479975170783e-05, + "loss": 0.9916, + "step": 2366 + }, + { + "epoch": 0.2, + "learning_rate": 1.8519042773799087e-05, + "loss": 1.0204, + "step": 2367 + }, + { + "epoch": 0.2, + "learning_rate": 1.851760493053985e-05, + "loss": 0.9842, + "step": 2368 + }, + { + "epoch": 0.2, + "learning_rate": 1.8516166445501405e-05, + "loss": 1.0035, + "step": 2369 + }, + { + "epoch": 0.2, + "learning_rate": 1.851472731879214e-05, + "loss": 0.9668, + "step": 2370 + }, + { + "epoch": 0.2, + "learning_rate": 1.8513287550520494e-05, + "loss": 0.9753, + "step": 2371 + }, + { + "epoch": 0.2, + "learning_rate": 1.8511847140794944e-05, + "loss": 0.9987, + "step": 2372 + }, + { + "epoch": 0.2, + "learning_rate": 1.8510406089724026e-05, + "loss": 0.9974, + "step": 2373 + }, + { + "epoch": 0.2, + "learning_rate": 1.8508964397416312e-05, + "loss": 0.9824, + "step": 2374 + }, + { + "epoch": 0.2, + "learning_rate": 1.8507522063980436e-05, + "loss": 1.0275, + "step": 2375 + }, + { + "epoch": 0.2, + "learning_rate": 1.8506079089525072e-05, + "loss": 0.9483, + "step": 2376 + }, + { + "epoch": 0.2, + "learning_rate": 1.850463547415895e-05, + "loss": 0.9949, + "step": 2377 + }, + { + "epoch": 0.2, + "learning_rate": 1.850319121799083e-05, + "loss": 0.9651, + "step": 2378 + }, + { + "epoch": 0.2, + "learning_rate": 1.8501746321129542e-05, + "loss": 0.9696, + "step": 2379 + }, + { + "epoch": 0.2, + "learning_rate": 1.8500300783683956e-05, + "loss": 0.9327, + "step": 2380 + }, + { + "epoch": 0.2, + "learning_rate": 1.8498854605762982e-05, + "loss": 0.9353, + "step": 2381 + }, + { + "epoch": 0.2, + "learning_rate": 1.8497407787475597e-05, + "loss": 1.0081, + "step": 2382 + }, + { + "epoch": 0.2, + "learning_rate": 1.8495960328930806e-05, + "loss": 0.9318, + "step": 2383 + }, + { + "epoch": 0.2, + "learning_rate": 1.849451223023767e-05, + "loss": 0.9761, + "step": 2384 + }, + { + "epoch": 0.2, + "learning_rate": 1.8493063491505307e-05, + "loss": 1.0015, + "step": 2385 + }, + { + "epoch": 0.2, + "learning_rate": 1.849161411284287e-05, + "loss": 1.012, + "step": 2386 + }, + { + "epoch": 0.2, + "learning_rate": 1.849016409435957e-05, + "loss": 0.9428, + "step": 2387 + }, + { + "epoch": 0.2, + "learning_rate": 1.848871343616466e-05, + "loss": 0.9907, + "step": 2388 + }, + { + "epoch": 0.2, + "learning_rate": 1.848726213836744e-05, + "loss": 0.5875, + "step": 2389 + }, + { + "epoch": 0.2, + "learning_rate": 1.8485810201077266e-05, + "loss": 0.9293, + "step": 2390 + }, + { + "epoch": 0.2, + "learning_rate": 1.848435762440354e-05, + "loss": 0.9645, + "step": 2391 + }, + { + "epoch": 0.2, + "learning_rate": 1.84829044084557e-05, + "loss": 0.9223, + "step": 2392 + }, + { + "epoch": 0.2, + "learning_rate": 1.848145055334325e-05, + "loss": 1.0015, + "step": 2393 + }, + { + "epoch": 0.2, + "learning_rate": 1.8479996059175733e-05, + "loss": 1.022, + "step": 2394 + }, + { + "epoch": 0.2, + "learning_rate": 1.8478540926062743e-05, + "loss": 0.9713, + "step": 2395 + }, + { + "epoch": 0.2, + "learning_rate": 1.8477085154113913e-05, + "loss": 0.9885, + "step": 2396 + }, + { + "epoch": 0.2, + "learning_rate": 1.8475628743438944e-05, + "loss": 0.9703, + "step": 2397 + }, + { + "epoch": 0.2, + "learning_rate": 1.8474171694147557e-05, + "loss": 0.9684, + "step": 2398 + }, + { + "epoch": 0.2, + "learning_rate": 1.8472714006349554e-05, + "loss": 0.9801, + "step": 2399 + }, + { + "epoch": 0.2, + "learning_rate": 1.8471255680154752e-05, + "loss": 0.9047, + "step": 2400 + }, + { + "epoch": 0.2, + "learning_rate": 1.8469796715673045e-05, + "loss": 0.9695, + "step": 2401 + }, + { + "epoch": 0.2, + "learning_rate": 1.846833711301435e-05, + "loss": 0.9649, + "step": 2402 + }, + { + "epoch": 0.2, + "learning_rate": 1.8466876872288653e-05, + "loss": 0.9104, + "step": 2403 + }, + { + "epoch": 0.2, + "learning_rate": 1.846541599360598e-05, + "loss": 1.0268, + "step": 2404 + }, + { + "epoch": 0.2, + "learning_rate": 1.84639544770764e-05, + "loss": 0.9809, + "step": 2405 + }, + { + "epoch": 0.2, + "learning_rate": 1.8462492322810033e-05, + "loss": 0.9978, + "step": 2406 + }, + { + "epoch": 0.2, + "learning_rate": 1.8461029530917054e-05, + "loss": 0.9935, + "step": 2407 + }, + { + "epoch": 0.2, + "learning_rate": 1.8459566101507675e-05, + "loss": 0.9401, + "step": 2408 + }, + { + "epoch": 0.2, + "learning_rate": 1.845810203469217e-05, + "loss": 0.9596, + "step": 2409 + }, + { + "epoch": 0.2, + "learning_rate": 1.8456637330580842e-05, + "loss": 0.9934, + "step": 2410 + }, + { + "epoch": 0.2, + "learning_rate": 1.845517198928406e-05, + "loss": 0.9862, + "step": 2411 + }, + { + "epoch": 0.2, + "learning_rate": 1.845370601091223e-05, + "loss": 0.9709, + "step": 2412 + }, + { + "epoch": 0.2, + "learning_rate": 1.845223939557581e-05, + "loss": 0.9149, + "step": 2413 + }, + { + "epoch": 0.2, + "learning_rate": 1.845077214338531e-05, + "loss": 0.965, + "step": 2414 + }, + { + "epoch": 0.2, + "learning_rate": 1.8449304254451273e-05, + "loss": 0.9607, + "step": 2415 + }, + { + "epoch": 0.2, + "learning_rate": 1.8447835728884315e-05, + "loss": 0.9578, + "step": 2416 + }, + { + "epoch": 0.2, + "learning_rate": 1.8446366566795075e-05, + "loss": 0.9464, + "step": 2417 + }, + { + "epoch": 0.2, + "learning_rate": 1.8444896768294255e-05, + "loss": 0.9943, + "step": 2418 + }, + { + "epoch": 0.21, + "learning_rate": 1.84434263334926e-05, + "loss": 0.9995, + "step": 2419 + }, + { + "epoch": 0.21, + "learning_rate": 1.84419552625009e-05, + "loss": 0.9846, + "step": 2420 + }, + { + "epoch": 0.21, + "learning_rate": 1.844048355543e-05, + "loss": 0.98, + "step": 2421 + }, + { + "epoch": 0.21, + "learning_rate": 1.843901121239079e-05, + "loss": 0.9319, + "step": 2422 + }, + { + "epoch": 0.21, + "learning_rate": 1.8437538233494205e-05, + "loss": 0.961, + "step": 2423 + }, + { + "epoch": 0.21, + "learning_rate": 1.8436064618851225e-05, + "loss": 0.9828, + "step": 2424 + }, + { + "epoch": 0.21, + "learning_rate": 1.8434590368572896e-05, + "loss": 0.9781, + "step": 2425 + }, + { + "epoch": 0.21, + "learning_rate": 1.8433115482770286e-05, + "loss": 0.9278, + "step": 2426 + }, + { + "epoch": 0.21, + "learning_rate": 1.843163996155453e-05, + "loss": 0.9324, + "step": 2427 + }, + { + "epoch": 0.21, + "learning_rate": 1.8430163805036807e-05, + "loss": 0.9625, + "step": 2428 + }, + { + "epoch": 0.21, + "learning_rate": 1.8428687013328338e-05, + "loss": 0.9611, + "step": 2429 + }, + { + "epoch": 0.21, + "learning_rate": 1.8427209586540392e-05, + "loss": 0.9846, + "step": 2430 + }, + { + "epoch": 0.21, + "learning_rate": 1.8425731524784297e-05, + "loss": 0.9418, + "step": 2431 + }, + { + "epoch": 0.21, + "learning_rate": 1.8424252828171415e-05, + "loss": 1.0009, + "step": 2432 + }, + { + "epoch": 0.21, + "learning_rate": 1.8422773496813164e-05, + "loss": 0.9915, + "step": 2433 + }, + { + "epoch": 0.21, + "learning_rate": 1.842129353082101e-05, + "loss": 0.9976, + "step": 2434 + }, + { + "epoch": 0.21, + "learning_rate": 1.8419812930306456e-05, + "loss": 1.0194, + "step": 2435 + }, + { + "epoch": 0.21, + "learning_rate": 1.8418331695381074e-05, + "loss": 0.937, + "step": 2436 + }, + { + "epoch": 0.21, + "learning_rate": 1.8416849826156462e-05, + "loss": 0.943, + "step": 2437 + }, + { + "epoch": 0.21, + "learning_rate": 1.841536732274428e-05, + "loss": 0.9891, + "step": 2438 + }, + { + "epoch": 0.21, + "learning_rate": 1.8413884185256225e-05, + "loss": 0.9457, + "step": 2439 + }, + { + "epoch": 0.21, + "learning_rate": 1.8412400413804055e-05, + "loss": 0.9294, + "step": 2440 + }, + { + "epoch": 0.21, + "learning_rate": 1.8410916008499563e-05, + "loss": 0.9258, + "step": 2441 + }, + { + "epoch": 0.21, + "learning_rate": 1.8409430969454594e-05, + "loss": 0.9711, + "step": 2442 + }, + { + "epoch": 0.21, + "learning_rate": 1.8407945296781046e-05, + "loss": 0.9846, + "step": 2443 + }, + { + "epoch": 0.21, + "learning_rate": 1.840645899059086e-05, + "loss": 0.9942, + "step": 2444 + }, + { + "epoch": 0.21, + "learning_rate": 1.8404972050996023e-05, + "loss": 0.9856, + "step": 2445 + }, + { + "epoch": 0.21, + "learning_rate": 1.840348447810857e-05, + "loss": 0.9483, + "step": 2446 + }, + { + "epoch": 0.21, + "learning_rate": 1.8401996272040593e-05, + "loss": 0.9523, + "step": 2447 + }, + { + "epoch": 0.21, + "learning_rate": 1.840050743290422e-05, + "loss": 0.9811, + "step": 2448 + }, + { + "epoch": 0.21, + "learning_rate": 1.8399017960811628e-05, + "loss": 1.001, + "step": 2449 + }, + { + "epoch": 0.21, + "learning_rate": 1.839752785587505e-05, + "loss": 1.0078, + "step": 2450 + }, + { + "epoch": 0.21, + "learning_rate": 1.839603711820676e-05, + "loss": 0.9459, + "step": 2451 + }, + { + "epoch": 0.21, + "learning_rate": 1.839454574791908e-05, + "loss": 0.9843, + "step": 2452 + }, + { + "epoch": 0.21, + "learning_rate": 1.839305374512438e-05, + "loss": 0.9738, + "step": 2453 + }, + { + "epoch": 0.21, + "learning_rate": 1.8391561109935083e-05, + "loss": 1.0339, + "step": 2454 + }, + { + "epoch": 0.21, + "learning_rate": 1.8390067842463653e-05, + "loss": 1.0088, + "step": 2455 + }, + { + "epoch": 0.21, + "learning_rate": 1.8388573942822597e-05, + "loss": 1.0008, + "step": 2456 + }, + { + "epoch": 0.21, + "learning_rate": 1.8387079411124488e-05, + "loss": 1.0001, + "step": 2457 + }, + { + "epoch": 0.21, + "learning_rate": 1.8385584247481928e-05, + "loss": 0.9517, + "step": 2458 + }, + { + "epoch": 0.21, + "learning_rate": 1.838408845200758e-05, + "loss": 0.9591, + "step": 2459 + }, + { + "epoch": 0.21, + "learning_rate": 1.8382592024814136e-05, + "loss": 1.0006, + "step": 2460 + }, + { + "epoch": 0.21, + "learning_rate": 1.838109496601436e-05, + "loss": 0.937, + "step": 2461 + }, + { + "epoch": 0.21, + "learning_rate": 1.8379597275721043e-05, + "loss": 0.9587, + "step": 2462 + }, + { + "epoch": 0.21, + "learning_rate": 1.837809895404704e-05, + "loss": 0.9714, + "step": 2463 + }, + { + "epoch": 0.21, + "learning_rate": 1.837660000110524e-05, + "loss": 0.9001, + "step": 2464 + }, + { + "epoch": 0.21, + "learning_rate": 1.8375100417008584e-05, + "loss": 0.9633, + "step": 2465 + }, + { + "epoch": 0.21, + "learning_rate": 1.8373600201870062e-05, + "loss": 0.8947, + "step": 2466 + }, + { + "epoch": 0.21, + "learning_rate": 1.837209935580272e-05, + "loss": 0.9911, + "step": 2467 + }, + { + "epoch": 0.21, + "learning_rate": 1.8370597878919633e-05, + "loss": 0.9917, + "step": 2468 + }, + { + "epoch": 0.21, + "learning_rate": 1.8369095771333938e-05, + "loss": 1.0335, + "step": 2469 + }, + { + "epoch": 0.21, + "learning_rate": 1.8367593033158813e-05, + "loss": 0.9918, + "step": 2470 + }, + { + "epoch": 0.21, + "learning_rate": 1.8366089664507488e-05, + "loss": 0.9268, + "step": 2471 + }, + { + "epoch": 0.21, + "learning_rate": 1.8364585665493234e-05, + "loss": 0.9574, + "step": 2472 + }, + { + "epoch": 0.21, + "learning_rate": 1.8363081036229373e-05, + "loss": 0.9661, + "step": 2473 + }, + { + "epoch": 0.21, + "learning_rate": 1.836157577682928e-05, + "loss": 0.9448, + "step": 2474 + }, + { + "epoch": 0.21, + "learning_rate": 1.8360069887406372e-05, + "loss": 0.9483, + "step": 2475 + }, + { + "epoch": 0.21, + "learning_rate": 1.8358563368074108e-05, + "loss": 0.9383, + "step": 2476 + }, + { + "epoch": 0.21, + "learning_rate": 1.8357056218946003e-05, + "loss": 0.8992, + "step": 2477 + }, + { + "epoch": 0.21, + "learning_rate": 1.835554844013562e-05, + "loss": 0.9583, + "step": 2478 + }, + { + "epoch": 0.21, + "learning_rate": 1.835404003175656e-05, + "loss": 1.0075, + "step": 2479 + }, + { + "epoch": 0.21, + "learning_rate": 1.8352530993922483e-05, + "loss": 0.9536, + "step": 2480 + }, + { + "epoch": 0.21, + "learning_rate": 1.835102132674709e-05, + "loss": 0.981, + "step": 2481 + }, + { + "epoch": 0.21, + "learning_rate": 1.834951103034413e-05, + "loss": 0.9311, + "step": 2482 + }, + { + "epoch": 0.21, + "learning_rate": 1.8348000104827396e-05, + "loss": 0.9569, + "step": 2483 + }, + { + "epoch": 0.21, + "learning_rate": 1.834648855031074e-05, + "loss": 0.9806, + "step": 2484 + }, + { + "epoch": 0.21, + "learning_rate": 1.8344976366908048e-05, + "loss": 1.011, + "step": 2485 + }, + { + "epoch": 0.21, + "learning_rate": 1.834346355473326e-05, + "loss": 1.0025, + "step": 2486 + }, + { + "epoch": 0.21, + "learning_rate": 1.8341950113900363e-05, + "loss": 0.9743, + "step": 2487 + }, + { + "epoch": 0.21, + "learning_rate": 1.8340436044523392e-05, + "loss": 0.9559, + "step": 2488 + }, + { + "epoch": 0.21, + "learning_rate": 1.8338921346716426e-05, + "loss": 0.9258, + "step": 2489 + }, + { + "epoch": 0.21, + "learning_rate": 1.8337406020593595e-05, + "loss": 0.9445, + "step": 2490 + }, + { + "epoch": 0.21, + "learning_rate": 1.833589006626907e-05, + "loss": 0.8903, + "step": 2491 + }, + { + "epoch": 0.21, + "learning_rate": 1.8334373483857083e-05, + "loss": 0.9464, + "step": 2492 + }, + { + "epoch": 0.21, + "learning_rate": 1.83328562734719e-05, + "loss": 1.0171, + "step": 2493 + }, + { + "epoch": 0.21, + "learning_rate": 1.8331338435227838e-05, + "loss": 0.9802, + "step": 2494 + }, + { + "epoch": 0.21, + "learning_rate": 1.8329819969239263e-05, + "loss": 0.9529, + "step": 2495 + }, + { + "epoch": 0.21, + "learning_rate": 1.8328300875620586e-05, + "loss": 0.5296, + "step": 2496 + }, + { + "epoch": 0.21, + "learning_rate": 1.8326781154486274e-05, + "loss": 0.968, + "step": 2497 + }, + { + "epoch": 0.21, + "learning_rate": 1.832526080595082e-05, + "loss": 1.0002, + "step": 2498 + }, + { + "epoch": 0.21, + "learning_rate": 1.8323739830128787e-05, + "loss": 0.95, + "step": 2499 + }, + { + "epoch": 0.21, + "learning_rate": 1.832221822713478e-05, + "loss": 0.962, + "step": 2500 + }, + { + "epoch": 0.21, + "learning_rate": 1.8320695997083443e-05, + "loss": 0.9447, + "step": 2501 + }, + { + "epoch": 0.21, + "learning_rate": 1.8319173140089473e-05, + "loss": 1.0048, + "step": 2502 + }, + { + "epoch": 0.21, + "learning_rate": 1.8317649656267612e-05, + "loss": 1.006, + "step": 2503 + }, + { + "epoch": 0.21, + "learning_rate": 1.8316125545732653e-05, + "loss": 0.9842, + "step": 2504 + }, + { + "epoch": 0.21, + "learning_rate": 1.831460080859943e-05, + "loss": 0.9659, + "step": 2505 + }, + { + "epoch": 0.21, + "learning_rate": 1.8313075444982834e-05, + "loss": 1.0313, + "step": 2506 + }, + { + "epoch": 0.21, + "learning_rate": 1.8311549454997788e-05, + "loss": 0.9506, + "step": 2507 + }, + { + "epoch": 0.21, + "learning_rate": 1.831002283875928e-05, + "loss": 0.9565, + "step": 2508 + }, + { + "epoch": 0.21, + "learning_rate": 1.830849559638233e-05, + "loss": 0.9322, + "step": 2509 + }, + { + "epoch": 0.21, + "learning_rate": 1.830696772798202e-05, + "loss": 0.9786, + "step": 2510 + }, + { + "epoch": 0.21, + "learning_rate": 1.8305439233673462e-05, + "loss": 0.9464, + "step": 2511 + }, + { + "epoch": 0.21, + "learning_rate": 1.830391011357183e-05, + "loss": 0.9546, + "step": 2512 + }, + { + "epoch": 0.21, + "learning_rate": 1.8302380367792336e-05, + "loss": 0.9916, + "step": 2513 + }, + { + "epoch": 0.21, + "learning_rate": 1.8300849996450244e-05, + "loss": 0.9401, + "step": 2514 + }, + { + "epoch": 0.21, + "learning_rate": 1.8299318999660863e-05, + "loss": 0.9156, + "step": 2515 + }, + { + "epoch": 0.21, + "learning_rate": 1.829778737753955e-05, + "loss": 0.9902, + "step": 2516 + }, + { + "epoch": 0.21, + "learning_rate": 1.8296255130201707e-05, + "loss": 0.9359, + "step": 2517 + }, + { + "epoch": 0.21, + "learning_rate": 1.8294722257762788e-05, + "loss": 0.9686, + "step": 2518 + }, + { + "epoch": 0.21, + "learning_rate": 1.8293188760338285e-05, + "loss": 0.9533, + "step": 2519 + }, + { + "epoch": 0.21, + "learning_rate": 1.8291654638043746e-05, + "loss": 0.9988, + "step": 2520 + }, + { + "epoch": 0.21, + "learning_rate": 1.8290119890994772e-05, + "loss": 0.9812, + "step": 2521 + }, + { + "epoch": 0.21, + "learning_rate": 1.8288584519306985e-05, + "loss": 0.9795, + "step": 2522 + }, + { + "epoch": 0.21, + "learning_rate": 1.828704852309609e-05, + "loss": 0.9589, + "step": 2523 + }, + { + "epoch": 0.21, + "learning_rate": 1.8285511902477803e-05, + "loss": 0.9553, + "step": 2524 + }, + { + "epoch": 0.21, + "learning_rate": 1.8283974657567915e-05, + "loss": 0.9518, + "step": 2525 + }, + { + "epoch": 0.21, + "learning_rate": 1.828243678848225e-05, + "loss": 0.9591, + "step": 2526 + }, + { + "epoch": 0.21, + "learning_rate": 1.8280898295336683e-05, + "loss": 0.9358, + "step": 2527 + }, + { + "epoch": 0.21, + "learning_rate": 1.8279359178247134e-05, + "loss": 0.9784, + "step": 2528 + }, + { + "epoch": 0.21, + "learning_rate": 1.8277819437329577e-05, + "loss": 0.9524, + "step": 2529 + }, + { + "epoch": 0.21, + "learning_rate": 1.8276279072700017e-05, + "loss": 0.9785, + "step": 2530 + }, + { + "epoch": 0.21, + "learning_rate": 1.8274738084474525e-05, + "loss": 0.9803, + "step": 2531 + }, + { + "epoch": 0.21, + "learning_rate": 1.827319647276921e-05, + "loss": 0.9642, + "step": 2532 + }, + { + "epoch": 0.21, + "learning_rate": 1.8271654237700224e-05, + "loss": 0.8991, + "step": 2533 + }, + { + "epoch": 0.21, + "learning_rate": 1.8270111379383773e-05, + "loss": 0.9414, + "step": 2534 + }, + { + "epoch": 0.21, + "learning_rate": 1.826856789793611e-05, + "loss": 0.931, + "step": 2535 + }, + { + "epoch": 0.21, + "learning_rate": 1.826702379347353e-05, + "loss": 0.6026, + "step": 2536 + }, + { + "epoch": 0.22, + "learning_rate": 1.826547906611237e-05, + "loss": 0.9372, + "step": 2537 + }, + { + "epoch": 0.22, + "learning_rate": 1.8263933715969032e-05, + "loss": 0.954, + "step": 2538 + }, + { + "epoch": 0.22, + "learning_rate": 1.826238774315995e-05, + "loss": 0.6475, + "step": 2539 + }, + { + "epoch": 0.22, + "learning_rate": 1.826084114780161e-05, + "loss": 0.9442, + "step": 2540 + }, + { + "epoch": 0.22, + "learning_rate": 1.825929393001054e-05, + "loss": 0.9885, + "step": 2541 + }, + { + "epoch": 0.22, + "learning_rate": 1.825774608990332e-05, + "loss": 1.0185, + "step": 2542 + }, + { + "epoch": 0.22, + "learning_rate": 1.8256197627596582e-05, + "loss": 0.9579, + "step": 2543 + }, + { + "epoch": 0.22, + "learning_rate": 1.825464854320699e-05, + "loss": 0.9886, + "step": 2544 + }, + { + "epoch": 0.22, + "learning_rate": 1.825309883685127e-05, + "loss": 0.9476, + "step": 2545 + }, + { + "epoch": 0.22, + "learning_rate": 1.8251548508646186e-05, + "loss": 1.0077, + "step": 2546 + }, + { + "epoch": 0.22, + "learning_rate": 1.824999755870855e-05, + "loss": 0.981, + "step": 2547 + }, + { + "epoch": 0.22, + "learning_rate": 1.8248445987155222e-05, + "loss": 0.9996, + "step": 2548 + }, + { + "epoch": 0.22, + "learning_rate": 1.8246893794103113e-05, + "loss": 0.9763, + "step": 2549 + }, + { + "epoch": 0.22, + "learning_rate": 1.8245340979669165e-05, + "loss": 0.9669, + "step": 2550 + }, + { + "epoch": 0.22, + "learning_rate": 1.8243787543970394e-05, + "loss": 0.9713, + "step": 2551 + }, + { + "epoch": 0.22, + "learning_rate": 1.8242233487123837e-05, + "loss": 0.973, + "step": 2552 + }, + { + "epoch": 0.22, + "learning_rate": 1.824067880924659e-05, + "loss": 0.9871, + "step": 2553 + }, + { + "epoch": 0.22, + "learning_rate": 1.82391235104558e-05, + "loss": 0.5964, + "step": 2554 + }, + { + "epoch": 0.22, + "learning_rate": 1.8237567590868645e-05, + "loss": 0.973, + "step": 2555 + }, + { + "epoch": 0.22, + "learning_rate": 1.8236011050602368e-05, + "loss": 0.94, + "step": 2556 + }, + { + "epoch": 0.22, + "learning_rate": 1.8234453889774248e-05, + "loss": 0.9829, + "step": 2557 + }, + { + "epoch": 0.22, + "learning_rate": 1.8232896108501606e-05, + "loss": 0.9342, + "step": 2558 + }, + { + "epoch": 0.22, + "learning_rate": 1.8231337706901823e-05, + "loss": 0.9813, + "step": 2559 + }, + { + "epoch": 0.22, + "learning_rate": 1.8229778685092322e-05, + "loss": 0.9482, + "step": 2560 + }, + { + "epoch": 0.22, + "learning_rate": 1.822821904319057e-05, + "loss": 0.94, + "step": 2561 + }, + { + "epoch": 0.22, + "learning_rate": 1.8226658781314078e-05, + "loss": 0.9573, + "step": 2562 + }, + { + "epoch": 0.22, + "learning_rate": 1.822509789958041e-05, + "loss": 0.9484, + "step": 2563 + }, + { + "epoch": 0.22, + "learning_rate": 1.8223536398107177e-05, + "loss": 0.9639, + "step": 2564 + }, + { + "epoch": 0.22, + "learning_rate": 1.822197427701203e-05, + "loss": 1.0591, + "step": 2565 + }, + { + "epoch": 0.22, + "learning_rate": 1.8220411536412673e-05, + "loss": 0.9688, + "step": 2566 + }, + { + "epoch": 0.22, + "learning_rate": 1.8218848176426857e-05, + "loss": 0.9627, + "step": 2567 + }, + { + "epoch": 0.22, + "learning_rate": 1.8217284197172372e-05, + "loss": 0.9437, + "step": 2568 + }, + { + "epoch": 0.22, + "learning_rate": 1.821571959876706e-05, + "loss": 0.9814, + "step": 2569 + }, + { + "epoch": 0.22, + "learning_rate": 1.8214154381328815e-05, + "loss": 0.9825, + "step": 2570 + }, + { + "epoch": 0.22, + "learning_rate": 1.8212588544975567e-05, + "loss": 0.9572, + "step": 2571 + }, + { + "epoch": 0.22, + "learning_rate": 1.8211022089825295e-05, + "loss": 0.9828, + "step": 2572 + }, + { + "epoch": 0.22, + "learning_rate": 1.8209455015996034e-05, + "loss": 0.9843, + "step": 2573 + }, + { + "epoch": 0.22, + "learning_rate": 1.8207887323605858e-05, + "loss": 0.9582, + "step": 2574 + }, + { + "epoch": 0.22, + "learning_rate": 1.8206319012772885e-05, + "loss": 0.9853, + "step": 2575 + }, + { + "epoch": 0.22, + "learning_rate": 1.8204750083615283e-05, + "loss": 0.9741, + "step": 2576 + }, + { + "epoch": 0.22, + "learning_rate": 1.820318053625127e-05, + "loss": 0.8931, + "step": 2577 + }, + { + "epoch": 0.22, + "learning_rate": 1.8201610370799104e-05, + "loss": 0.9266, + "step": 2578 + }, + { + "epoch": 0.22, + "learning_rate": 1.82000395873771e-05, + "loss": 0.9705, + "step": 2579 + }, + { + "epoch": 0.22, + "learning_rate": 1.8198468186103602e-05, + "loss": 1.0054, + "step": 2580 + }, + { + "epoch": 0.22, + "learning_rate": 1.819689616709702e-05, + "loss": 0.9866, + "step": 2581 + }, + { + "epoch": 0.22, + "learning_rate": 1.819532353047579e-05, + "loss": 0.9935, + "step": 2582 + }, + { + "epoch": 0.22, + "learning_rate": 1.819375027635842e-05, + "loss": 0.9463, + "step": 2583 + }, + { + "epoch": 0.22, + "learning_rate": 1.8192176404863442e-05, + "loss": 0.9673, + "step": 2584 + }, + { + "epoch": 0.22, + "learning_rate": 1.8190601916109444e-05, + "loss": 0.9975, + "step": 2585 + }, + { + "epoch": 0.22, + "learning_rate": 1.8189026810215064e-05, + "loss": 0.9911, + "step": 2586 + }, + { + "epoch": 0.22, + "learning_rate": 1.8187451087298974e-05, + "loss": 0.9623, + "step": 2587 + }, + { + "epoch": 0.22, + "learning_rate": 1.8185874747479912e-05, + "loss": 0.9671, + "step": 2588 + }, + { + "epoch": 0.22, + "learning_rate": 1.8184297790876638e-05, + "loss": 0.6004, + "step": 2589 + }, + { + "epoch": 0.22, + "learning_rate": 1.818272021760798e-05, + "loss": 0.9971, + "step": 2590 + }, + { + "epoch": 0.22, + "learning_rate": 1.8181142027792807e-05, + "loss": 0.9789, + "step": 2591 + }, + { + "epoch": 0.22, + "learning_rate": 1.817956322155002e-05, + "loss": 1.0096, + "step": 2592 + }, + { + "epoch": 0.22, + "learning_rate": 1.8177983798998588e-05, + "loss": 0.9675, + "step": 2593 + }, + { + "epoch": 0.22, + "learning_rate": 1.817640376025751e-05, + "loss": 0.9697, + "step": 2594 + }, + { + "epoch": 0.22, + "learning_rate": 1.8174823105445845e-05, + "loss": 1.0291, + "step": 2595 + }, + { + "epoch": 0.22, + "learning_rate": 1.817324183468268e-05, + "loss": 0.9587, + "step": 2596 + }, + { + "epoch": 0.22, + "learning_rate": 1.8171659948087175e-05, + "loss": 0.9806, + "step": 2597 + }, + { + "epoch": 0.22, + "learning_rate": 1.8170077445778503e-05, + "loss": 0.9839, + "step": 2598 + }, + { + "epoch": 0.22, + "learning_rate": 1.8168494327875918e-05, + "loss": 0.9149, + "step": 2599 + }, + { + "epoch": 0.22, + "learning_rate": 1.8166910594498695e-05, + "loss": 0.9522, + "step": 2600 + }, + { + "epoch": 0.22, + "learning_rate": 1.8165326245766164e-05, + "loss": 1.007, + "step": 2601 + }, + { + "epoch": 0.22, + "learning_rate": 1.8163741281797706e-05, + "loss": 0.94, + "step": 2602 + }, + { + "epoch": 0.22, + "learning_rate": 1.816215570271274e-05, + "loss": 0.9699, + "step": 2603 + }, + { + "epoch": 0.22, + "learning_rate": 1.8160569508630734e-05, + "loss": 0.9473, + "step": 2604 + }, + { + "epoch": 0.22, + "learning_rate": 1.8158982699671208e-05, + "loss": 0.9672, + "step": 2605 + }, + { + "epoch": 0.22, + "learning_rate": 1.8157395275953722e-05, + "loss": 0.9555, + "step": 2606 + }, + { + "epoch": 0.22, + "learning_rate": 1.8155807237597884e-05, + "loss": 1.0208, + "step": 2607 + }, + { + "epoch": 0.22, + "learning_rate": 1.815421858472335e-05, + "loss": 0.9574, + "step": 2608 + }, + { + "epoch": 0.22, + "learning_rate": 1.8152629317449814e-05, + "loss": 0.9629, + "step": 2609 + }, + { + "epoch": 0.22, + "learning_rate": 1.8151039435897032e-05, + "loss": 0.9898, + "step": 2610 + }, + { + "epoch": 0.22, + "learning_rate": 1.8149448940184797e-05, + "loss": 0.9868, + "step": 2611 + }, + { + "epoch": 0.22, + "learning_rate": 1.814785783043294e-05, + "loss": 0.9156, + "step": 2612 + }, + { + "epoch": 0.22, + "learning_rate": 1.8146266106761357e-05, + "loss": 0.9188, + "step": 2613 + }, + { + "epoch": 0.22, + "learning_rate": 1.8144673769289972e-05, + "loss": 0.6183, + "step": 2614 + }, + { + "epoch": 0.22, + "learning_rate": 1.814308081813877e-05, + "loss": 0.9334, + "step": 2615 + }, + { + "epoch": 0.22, + "learning_rate": 1.8141487253427775e-05, + "loss": 0.5564, + "step": 2616 + }, + { + "epoch": 0.22, + "learning_rate": 1.813989307527705e-05, + "loss": 0.9817, + "step": 2617 + }, + { + "epoch": 0.22, + "learning_rate": 1.813829828380672e-05, + "loss": 0.9291, + "step": 2618 + }, + { + "epoch": 0.22, + "learning_rate": 1.813670287913695e-05, + "loss": 0.9396, + "step": 2619 + }, + { + "epoch": 0.22, + "learning_rate": 1.8135106861387945e-05, + "loss": 0.9411, + "step": 2620 + }, + { + "epoch": 0.22, + "learning_rate": 1.8133510230679956e-05, + "loss": 0.9978, + "step": 2621 + }, + { + "epoch": 0.22, + "learning_rate": 1.8131912987133296e-05, + "loss": 0.9777, + "step": 2622 + }, + { + "epoch": 0.22, + "learning_rate": 1.8130315130868304e-05, + "loss": 0.5514, + "step": 2623 + }, + { + "epoch": 0.22, + "learning_rate": 1.8128716662005385e-05, + "loss": 1.0107, + "step": 2624 + }, + { + "epoch": 0.22, + "learning_rate": 1.8127117580664966e-05, + "loss": 1.0039, + "step": 2625 + }, + { + "epoch": 0.22, + "learning_rate": 1.812551788696754e-05, + "loss": 0.9732, + "step": 2626 + }, + { + "epoch": 0.22, + "learning_rate": 1.8123917581033642e-05, + "loss": 1.009, + "step": 2627 + }, + { + "epoch": 0.22, + "learning_rate": 1.8122316662983846e-05, + "loss": 0.9618, + "step": 2628 + }, + { + "epoch": 0.22, + "learning_rate": 1.8120715132938784e-05, + "loss": 0.5914, + "step": 2629 + }, + { + "epoch": 0.22, + "learning_rate": 1.8119112991019123e-05, + "loss": 0.9575, + "step": 2630 + }, + { + "epoch": 0.22, + "learning_rate": 1.8117510237345572e-05, + "loss": 0.9251, + "step": 2631 + }, + { + "epoch": 0.22, + "learning_rate": 1.8115906872038912e-05, + "loss": 0.9384, + "step": 2632 + }, + { + "epoch": 0.22, + "learning_rate": 1.8114302895219936e-05, + "loss": 0.9746, + "step": 2633 + }, + { + "epoch": 0.22, + "learning_rate": 1.8112698307009506e-05, + "loss": 0.9141, + "step": 2634 + }, + { + "epoch": 0.22, + "learning_rate": 1.8111093107528526e-05, + "loss": 0.9433, + "step": 2635 + }, + { + "epoch": 0.22, + "learning_rate": 1.8109487296897944e-05, + "loss": 0.9858, + "step": 2636 + }, + { + "epoch": 0.22, + "learning_rate": 1.8107880875238746e-05, + "loss": 0.9898, + "step": 2637 + }, + { + "epoch": 0.22, + "learning_rate": 1.8106273842671974e-05, + "loss": 0.9364, + "step": 2638 + }, + { + "epoch": 0.22, + "learning_rate": 1.810466619931872e-05, + "loss": 1.0094, + "step": 2639 + }, + { + "epoch": 0.22, + "learning_rate": 1.8103057945300115e-05, + "loss": 0.9521, + "step": 2640 + }, + { + "epoch": 0.22, + "learning_rate": 1.8101449080737327e-05, + "loss": 0.9893, + "step": 2641 + }, + { + "epoch": 0.22, + "learning_rate": 1.809983960575159e-05, + "loss": 0.9593, + "step": 2642 + }, + { + "epoch": 0.22, + "learning_rate": 1.8098229520464167e-05, + "loss": 0.9869, + "step": 2643 + }, + { + "epoch": 0.22, + "learning_rate": 1.809661882499638e-05, + "loss": 0.9646, + "step": 2644 + }, + { + "epoch": 0.22, + "learning_rate": 1.8095007519469583e-05, + "loss": 0.9691, + "step": 2645 + }, + { + "epoch": 0.22, + "learning_rate": 1.8093395604005197e-05, + "loss": 0.9474, + "step": 2646 + }, + { + "epoch": 0.22, + "learning_rate": 1.8091783078724657e-05, + "loss": 1.0011, + "step": 2647 + }, + { + "epoch": 0.22, + "learning_rate": 1.8090169943749477e-05, + "loss": 0.9895, + "step": 2648 + }, + { + "epoch": 0.22, + "learning_rate": 1.8088556199201195e-05, + "loss": 0.9534, + "step": 2649 + }, + { + "epoch": 0.22, + "learning_rate": 1.8086941845201408e-05, + "loss": 0.9381, + "step": 2650 + }, + { + "epoch": 0.22, + "learning_rate": 1.8085326881871747e-05, + "loss": 0.9368, + "step": 2651 + }, + { + "epoch": 0.22, + "learning_rate": 1.80837113093339e-05, + "loss": 0.966, + "step": 2652 + }, + { + "epoch": 0.22, + "learning_rate": 1.8082095127709594e-05, + "loss": 0.9158, + "step": 2653 + }, + { + "epoch": 0.22, + "learning_rate": 1.8080478337120604e-05, + "loss": 0.9819, + "step": 2654 + }, + { + "epoch": 0.23, + "learning_rate": 1.8078860937688757e-05, + "loss": 0.9537, + "step": 2655 + }, + { + "epoch": 0.23, + "learning_rate": 1.8077242929535913e-05, + "loss": 0.9372, + "step": 2656 + }, + { + "epoch": 0.23, + "learning_rate": 1.8075624312783984e-05, + "loss": 0.5823, + "step": 2657 + }, + { + "epoch": 0.23, + "learning_rate": 1.807400508755493e-05, + "loss": 1.0066, + "step": 2658 + }, + { + "epoch": 0.23, + "learning_rate": 1.8072385253970756e-05, + "loss": 0.9792, + "step": 2659 + }, + { + "epoch": 0.23, + "learning_rate": 1.8070764812153518e-05, + "loss": 0.9647, + "step": 2660 + }, + { + "epoch": 0.23, + "learning_rate": 1.80691437622253e-05, + "loss": 1.0187, + "step": 2661 + }, + { + "epoch": 0.23, + "learning_rate": 1.806752210430825e-05, + "loss": 0.9523, + "step": 2662 + }, + { + "epoch": 0.23, + "learning_rate": 1.806589983852456e-05, + "loss": 0.9638, + "step": 2663 + }, + { + "epoch": 0.23, + "learning_rate": 1.8064276964996458e-05, + "loss": 0.9151, + "step": 2664 + }, + { + "epoch": 0.23, + "learning_rate": 1.8062653483846223e-05, + "loss": 0.9599, + "step": 2665 + }, + { + "epoch": 0.23, + "learning_rate": 1.8061029395196186e-05, + "loss": 0.9814, + "step": 2666 + }, + { + "epoch": 0.23, + "learning_rate": 1.805940469916871e-05, + "loss": 0.9668, + "step": 2667 + }, + { + "epoch": 0.23, + "learning_rate": 1.8057779395886216e-05, + "loss": 0.9493, + "step": 2668 + }, + { + "epoch": 0.23, + "learning_rate": 1.8056153485471167e-05, + "loss": 0.9474, + "step": 2669 + }, + { + "epoch": 0.23, + "learning_rate": 1.8054526968046067e-05, + "loss": 0.9712, + "step": 2670 + }, + { + "epoch": 0.23, + "learning_rate": 1.8052899843733475e-05, + "loss": 0.9883, + "step": 2671 + }, + { + "epoch": 0.23, + "learning_rate": 1.8051272112655983e-05, + "loss": 0.96, + "step": 2672 + }, + { + "epoch": 0.23, + "learning_rate": 1.8049643774936246e-05, + "loss": 0.9724, + "step": 2673 + }, + { + "epoch": 0.23, + "learning_rate": 1.804801483069695e-05, + "loss": 0.9718, + "step": 2674 + }, + { + "epoch": 0.23, + "learning_rate": 1.8046385280060832e-05, + "loss": 0.9509, + "step": 2675 + }, + { + "epoch": 0.23, + "learning_rate": 1.8044755123150673e-05, + "loss": 0.9383, + "step": 2676 + }, + { + "epoch": 0.23, + "learning_rate": 1.80431243600893e-05, + "loss": 1.0206, + "step": 2677 + }, + { + "epoch": 0.23, + "learning_rate": 1.8041492990999595e-05, + "loss": 0.9355, + "step": 2678 + }, + { + "epoch": 0.23, + "learning_rate": 1.8039861016004464e-05, + "loss": 0.9972, + "step": 2679 + }, + { + "epoch": 0.23, + "learning_rate": 1.8038228435226887e-05, + "loss": 0.9267, + "step": 2680 + }, + { + "epoch": 0.23, + "learning_rate": 1.8036595248789862e-05, + "loss": 0.9748, + "step": 2681 + }, + { + "epoch": 0.23, + "learning_rate": 1.8034961456816452e-05, + "loss": 0.9731, + "step": 2682 + }, + { + "epoch": 0.23, + "learning_rate": 1.8033327059429756e-05, + "loss": 0.9758, + "step": 2683 + }, + { + "epoch": 0.23, + "learning_rate": 1.8031692056752926e-05, + "loss": 0.9676, + "step": 2684 + }, + { + "epoch": 0.23, + "learning_rate": 1.8030056448909148e-05, + "loss": 0.9209, + "step": 2685 + }, + { + "epoch": 0.23, + "learning_rate": 1.8028420236021668e-05, + "loss": 0.9647, + "step": 2686 + }, + { + "epoch": 0.23, + "learning_rate": 1.8026783418213768e-05, + "loss": 0.9634, + "step": 2687 + }, + { + "epoch": 0.23, + "learning_rate": 1.8025145995608775e-05, + "loss": 0.9652, + "step": 2688 + }, + { + "epoch": 0.23, + "learning_rate": 1.8023507968330068e-05, + "loss": 0.9534, + "step": 2689 + }, + { + "epoch": 0.23, + "learning_rate": 1.8021869336501066e-05, + "loss": 1.0037, + "step": 2690 + }, + { + "epoch": 0.23, + "learning_rate": 1.8020230100245237e-05, + "loss": 0.8985, + "step": 2691 + }, + { + "epoch": 0.23, + "learning_rate": 1.801859025968609e-05, + "loss": 1.0356, + "step": 2692 + }, + { + "epoch": 0.23, + "learning_rate": 1.8016949814947188e-05, + "loss": 0.9663, + "step": 2693 + }, + { + "epoch": 0.23, + "learning_rate": 1.801530876615213e-05, + "loss": 0.9592, + "step": 2694 + }, + { + "epoch": 0.23, + "learning_rate": 1.8013667113424566e-05, + "loss": 0.9622, + "step": 2695 + }, + { + "epoch": 0.23, + "learning_rate": 1.801202485688819e-05, + "loss": 0.9859, + "step": 2696 + }, + { + "epoch": 0.23, + "learning_rate": 1.8010381996666746e-05, + "loss": 1.0046, + "step": 2697 + }, + { + "epoch": 0.23, + "learning_rate": 1.8008738532884012e-05, + "loss": 0.925, + "step": 2698 + }, + { + "epoch": 0.23, + "learning_rate": 1.8007094465663823e-05, + "loss": 0.9834, + "step": 2699 + }, + { + "epoch": 0.23, + "learning_rate": 1.800544979513005e-05, + "loss": 1.0053, + "step": 2700 + }, + { + "epoch": 0.23, + "learning_rate": 1.8003804521406624e-05, + "loss": 0.9798, + "step": 2701 + }, + { + "epoch": 0.23, + "learning_rate": 1.8002158644617508e-05, + "loss": 0.9564, + "step": 2702 + }, + { + "epoch": 0.23, + "learning_rate": 1.800051216488671e-05, + "loss": 0.997, + "step": 2703 + }, + { + "epoch": 0.23, + "learning_rate": 1.799886508233829e-05, + "loss": 0.9832, + "step": 2704 + }, + { + "epoch": 0.23, + "learning_rate": 1.7997217397096355e-05, + "loss": 0.9883, + "step": 2705 + }, + { + "epoch": 0.23, + "learning_rate": 1.799556910928505e-05, + "loss": 0.9728, + "step": 2706 + }, + { + "epoch": 0.23, + "learning_rate": 1.799392021902857e-05, + "loss": 0.9818, + "step": 2707 + }, + { + "epoch": 0.23, + "learning_rate": 1.7992270726451158e-05, + "loss": 0.9858, + "step": 2708 + }, + { + "epoch": 0.23, + "learning_rate": 1.7990620631677092e-05, + "loss": 0.9754, + "step": 2709 + }, + { + "epoch": 0.23, + "learning_rate": 1.7988969934830713e-05, + "loss": 0.9652, + "step": 2710 + }, + { + "epoch": 0.23, + "learning_rate": 1.7987318636036382e-05, + "loss": 1.0131, + "step": 2711 + }, + { + "epoch": 0.23, + "learning_rate": 1.798566673541853e-05, + "loss": 0.9582, + "step": 2712 + }, + { + "epoch": 0.23, + "learning_rate": 1.7984014233101628e-05, + "loss": 0.9478, + "step": 2713 + }, + { + "epoch": 0.23, + "learning_rate": 1.7982361129210172e-05, + "loss": 0.9985, + "step": 2714 + }, + { + "epoch": 0.23, + "learning_rate": 1.7980707423868736e-05, + "loss": 0.9314, + "step": 2715 + }, + { + "epoch": 0.23, + "learning_rate": 1.797905311720191e-05, + "loss": 0.9934, + "step": 2716 + }, + { + "epoch": 0.23, + "learning_rate": 1.7977398209334347e-05, + "loss": 0.9623, + "step": 2717 + }, + { + "epoch": 0.23, + "learning_rate": 1.797574270039074e-05, + "loss": 0.9752, + "step": 2718 + }, + { + "epoch": 0.23, + "learning_rate": 1.7974086590495825e-05, + "loss": 0.9445, + "step": 2719 + }, + { + "epoch": 0.23, + "learning_rate": 1.797242987977439e-05, + "loss": 0.9338, + "step": 2720 + }, + { + "epoch": 0.23, + "learning_rate": 1.7970772568351255e-05, + "loss": 0.9056, + "step": 2721 + }, + { + "epoch": 0.23, + "learning_rate": 1.7969114656351308e-05, + "loss": 0.965, + "step": 2722 + }, + { + "epoch": 0.23, + "learning_rate": 1.7967456143899453e-05, + "loss": 0.9884, + "step": 2723 + }, + { + "epoch": 0.23, + "learning_rate": 1.7965797031120667e-05, + "loss": 0.9552, + "step": 2724 + }, + { + "epoch": 0.23, + "learning_rate": 1.796413731813995e-05, + "loss": 0.9447, + "step": 2725 + }, + { + "epoch": 0.23, + "learning_rate": 1.7962477005082367e-05, + "loss": 0.9556, + "step": 2726 + }, + { + "epoch": 0.23, + "learning_rate": 1.796081609207301e-05, + "loss": 1.004, + "step": 2727 + }, + { + "epoch": 0.23, + "learning_rate": 1.7959154579237027e-05, + "loss": 0.946, + "step": 2728 + }, + { + "epoch": 0.23, + "learning_rate": 1.7957492466699606e-05, + "loss": 0.9339, + "step": 2729 + }, + { + "epoch": 0.23, + "learning_rate": 1.795582975458599e-05, + "loss": 0.9894, + "step": 2730 + }, + { + "epoch": 0.23, + "learning_rate": 1.7954166443021456e-05, + "loss": 0.9975, + "step": 2731 + }, + { + "epoch": 0.23, + "learning_rate": 1.7952502532131326e-05, + "loss": 0.9775, + "step": 2732 + }, + { + "epoch": 0.23, + "learning_rate": 1.7950838022040978e-05, + "loss": 0.9901, + "step": 2733 + }, + { + "epoch": 0.23, + "learning_rate": 1.7949172912875824e-05, + "loss": 0.9936, + "step": 2734 + }, + { + "epoch": 0.23, + "learning_rate": 1.794750720476133e-05, + "loss": 1.0102, + "step": 2735 + }, + { + "epoch": 0.23, + "learning_rate": 1.7945840897823e-05, + "loss": 0.5273, + "step": 2736 + }, + { + "epoch": 0.23, + "learning_rate": 1.794417399218638e-05, + "loss": 1.0073, + "step": 2737 + }, + { + "epoch": 0.23, + "learning_rate": 1.794250648797708e-05, + "loss": 1.0095, + "step": 2738 + }, + { + "epoch": 0.23, + "learning_rate": 1.7940838385320732e-05, + "loss": 0.9994, + "step": 2739 + }, + { + "epoch": 0.23, + "learning_rate": 1.793916968434303e-05, + "loss": 0.9465, + "step": 2740 + }, + { + "epoch": 0.23, + "learning_rate": 1.7937500385169695e-05, + "loss": 0.9716, + "step": 2741 + }, + { + "epoch": 0.23, + "learning_rate": 1.7935830487926516e-05, + "loss": 0.8794, + "step": 2742 + }, + { + "epoch": 0.23, + "learning_rate": 1.7934159992739314e-05, + "loss": 0.9768, + "step": 2743 + }, + { + "epoch": 0.23, + "learning_rate": 1.793248889973395e-05, + "loss": 0.9616, + "step": 2744 + }, + { + "epoch": 0.23, + "learning_rate": 1.7930817209036338e-05, + "loss": 0.932, + "step": 2745 + }, + { + "epoch": 0.23, + "learning_rate": 1.792914492077244e-05, + "loss": 0.9569, + "step": 2746 + }, + { + "epoch": 0.23, + "learning_rate": 1.7927472035068252e-05, + "loss": 0.93, + "step": 2747 + }, + { + "epoch": 0.23, + "learning_rate": 1.7925798552049832e-05, + "loss": 0.9643, + "step": 2748 + }, + { + "epoch": 0.23, + "learning_rate": 1.7924124471843263e-05, + "loss": 0.9644, + "step": 2749 + }, + { + "epoch": 0.23, + "learning_rate": 1.7922449794574686e-05, + "loss": 0.9789, + "step": 2750 + }, + { + "epoch": 0.23, + "learning_rate": 1.792077452037028e-05, + "loss": 0.8998, + "step": 2751 + }, + { + "epoch": 0.23, + "learning_rate": 1.791909864935628e-05, + "loss": 0.9501, + "step": 2752 + }, + { + "epoch": 0.23, + "learning_rate": 1.7917422181658954e-05, + "loss": 0.9193, + "step": 2753 + }, + { + "epoch": 0.23, + "learning_rate": 1.791574511740462e-05, + "loss": 0.8959, + "step": 2754 + }, + { + "epoch": 0.23, + "learning_rate": 1.7914067456719638e-05, + "loss": 0.9344, + "step": 2755 + }, + { + "epoch": 0.23, + "learning_rate": 1.791238919973042e-05, + "loss": 0.943, + "step": 2756 + }, + { + "epoch": 0.23, + "learning_rate": 1.7910710346563417e-05, + "loss": 0.9624, + "step": 2757 + }, + { + "epoch": 0.23, + "learning_rate": 1.7909030897345118e-05, + "loss": 1.0052, + "step": 2758 + }, + { + "epoch": 0.23, + "learning_rate": 1.7907350852202078e-05, + "loss": 0.9757, + "step": 2759 + }, + { + "epoch": 0.23, + "learning_rate": 1.7905670211260874e-05, + "loss": 0.933, + "step": 2760 + }, + { + "epoch": 0.23, + "learning_rate": 1.7903988974648145e-05, + "loss": 0.9331, + "step": 2761 + }, + { + "epoch": 0.23, + "learning_rate": 1.790230714249056e-05, + "loss": 0.9952, + "step": 2762 + }, + { + "epoch": 0.23, + "learning_rate": 1.790062471491485e-05, + "loss": 0.9552, + "step": 2763 + }, + { + "epoch": 0.23, + "learning_rate": 1.789894169204778e-05, + "loss": 0.9753, + "step": 2764 + }, + { + "epoch": 0.23, + "learning_rate": 1.7897258074016152e-05, + "loss": 0.9705, + "step": 2765 + }, + { + "epoch": 0.23, + "learning_rate": 1.789557386094683e-05, + "loss": 0.9635, + "step": 2766 + }, + { + "epoch": 0.23, + "learning_rate": 1.7893889052966713e-05, + "loss": 0.9457, + "step": 2767 + }, + { + "epoch": 0.23, + "learning_rate": 1.7892203650202747e-05, + "loss": 0.9576, + "step": 2768 + }, + { + "epoch": 0.23, + "learning_rate": 1.7890517652781923e-05, + "loss": 0.9267, + "step": 2769 + }, + { + "epoch": 0.23, + "learning_rate": 1.7888831060831276e-05, + "loss": 0.9358, + "step": 2770 + }, + { + "epoch": 0.23, + "learning_rate": 1.7887143874477887e-05, + "loss": 0.9372, + "step": 2771 + }, + { + "epoch": 0.23, + "learning_rate": 1.7885456093848882e-05, + "loss": 0.9596, + "step": 2772 + }, + { + "epoch": 0.24, + "learning_rate": 1.788376771907143e-05, + "loss": 0.9254, + "step": 2773 + }, + { + "epoch": 0.24, + "learning_rate": 1.788207875027274e-05, + "loss": 0.9738, + "step": 2774 + }, + { + "epoch": 0.24, + "learning_rate": 1.7880389187580084e-05, + "loss": 0.9967, + "step": 2775 + }, + { + "epoch": 0.24, + "learning_rate": 1.7878699031120756e-05, + "loss": 0.969, + "step": 2776 + }, + { + "epoch": 0.24, + "learning_rate": 1.7877008281022107e-05, + "loss": 0.9422, + "step": 2777 + }, + { + "epoch": 0.24, + "learning_rate": 1.787531693741153e-05, + "loss": 0.9942, + "step": 2778 + }, + { + "epoch": 0.24, + "learning_rate": 1.787362500041647e-05, + "loss": 0.9241, + "step": 2779 + }, + { + "epoch": 0.24, + "learning_rate": 1.7871932470164396e-05, + "loss": 0.9484, + "step": 2780 + }, + { + "epoch": 0.24, + "learning_rate": 1.787023934678285e-05, + "loss": 0.9811, + "step": 2781 + }, + { + "epoch": 0.24, + "learning_rate": 1.7868545630399395e-05, + "loss": 0.9923, + "step": 2782 + }, + { + "epoch": 0.24, + "learning_rate": 1.7866851321141655e-05, + "loss": 0.974, + "step": 2783 + }, + { + "epoch": 0.24, + "learning_rate": 1.786515641913729e-05, + "loss": 0.9432, + "step": 2784 + }, + { + "epoch": 0.24, + "learning_rate": 1.7863460924514e-05, + "loss": 0.5199, + "step": 2785 + }, + { + "epoch": 0.24, + "learning_rate": 1.7861764837399544e-05, + "loss": 0.9459, + "step": 2786 + }, + { + "epoch": 0.24, + "learning_rate": 1.786006815792171e-05, + "loss": 0.9895, + "step": 2787 + }, + { + "epoch": 0.24, + "learning_rate": 1.7858370886208353e-05, + "loss": 0.9279, + "step": 2788 + }, + { + "epoch": 0.24, + "learning_rate": 1.785667302238734e-05, + "loss": 0.9619, + "step": 2789 + }, + { + "epoch": 0.24, + "learning_rate": 1.785497456658661e-05, + "loss": 0.9235, + "step": 2790 + }, + { + "epoch": 0.24, + "learning_rate": 1.7853275518934134e-05, + "loss": 1.0014, + "step": 2791 + }, + { + "epoch": 0.24, + "learning_rate": 1.7851575879557937e-05, + "loss": 0.9511, + "step": 2792 + }, + { + "epoch": 0.24, + "learning_rate": 1.7849875648586075e-05, + "loss": 0.9599, + "step": 2793 + }, + { + "epoch": 0.24, + "learning_rate": 1.784817482614666e-05, + "loss": 0.904, + "step": 2794 + }, + { + "epoch": 0.24, + "learning_rate": 1.7846473412367845e-05, + "loss": 0.9942, + "step": 2795 + }, + { + "epoch": 0.24, + "learning_rate": 1.7844771407377822e-05, + "loss": 0.5994, + "step": 2796 + }, + { + "epoch": 0.24, + "learning_rate": 1.7843068811304838e-05, + "loss": 0.9756, + "step": 2797 + }, + { + "epoch": 0.24, + "learning_rate": 1.7841365624277176e-05, + "loss": 0.6198, + "step": 2798 + }, + { + "epoch": 0.24, + "learning_rate": 1.783966184642317e-05, + "loss": 0.9804, + "step": 2799 + }, + { + "epoch": 0.24, + "learning_rate": 1.783795747787119e-05, + "loss": 0.9198, + "step": 2800 + }, + { + "epoch": 0.24, + "learning_rate": 1.783625251874966e-05, + "loss": 0.9736, + "step": 2801 + }, + { + "epoch": 0.24, + "learning_rate": 1.7834546969187044e-05, + "loss": 0.9713, + "step": 2802 + }, + { + "epoch": 0.24, + "learning_rate": 1.783284082931185e-05, + "loss": 0.8873, + "step": 2803 + }, + { + "epoch": 0.24, + "learning_rate": 1.7831134099252633e-05, + "loss": 0.9837, + "step": 2804 + }, + { + "epoch": 0.24, + "learning_rate": 1.7829426779137985e-05, + "loss": 0.9112, + "step": 2805 + }, + { + "epoch": 0.24, + "learning_rate": 1.7827718869096554e-05, + "loss": 0.5895, + "step": 2806 + }, + { + "epoch": 0.24, + "learning_rate": 1.7826010369257023e-05, + "loss": 0.9419, + "step": 2807 + }, + { + "epoch": 0.24, + "learning_rate": 1.7824301279748126e-05, + "loss": 0.9871, + "step": 2808 + }, + { + "epoch": 0.24, + "learning_rate": 1.7822591600698632e-05, + "loss": 0.9956, + "step": 2809 + }, + { + "epoch": 0.24, + "learning_rate": 1.7820881332237366e-05, + "loss": 0.9536, + "step": 2810 + }, + { + "epoch": 0.24, + "learning_rate": 1.7819170474493195e-05, + "loss": 0.9503, + "step": 2811 + }, + { + "epoch": 0.24, + "learning_rate": 1.7817459027595023e-05, + "loss": 0.9462, + "step": 2812 + }, + { + "epoch": 0.24, + "learning_rate": 1.7815746991671804e-05, + "loss": 1.0, + "step": 2813 + }, + { + "epoch": 0.24, + "learning_rate": 1.7814034366852537e-05, + "loss": 0.9384, + "step": 2814 + }, + { + "epoch": 0.24, + "learning_rate": 1.7812321153266258e-05, + "loss": 0.9491, + "step": 2815 + }, + { + "epoch": 0.24, + "learning_rate": 1.7810607351042062e-05, + "loss": 0.9547, + "step": 2816 + }, + { + "epoch": 0.24, + "learning_rate": 1.7808892960309075e-05, + "loss": 0.9642, + "step": 2817 + }, + { + "epoch": 0.24, + "learning_rate": 1.780717798119647e-05, + "loss": 0.9572, + "step": 2818 + }, + { + "epoch": 0.24, + "learning_rate": 1.780546241383347e-05, + "loss": 0.9806, + "step": 2819 + }, + { + "epoch": 0.24, + "learning_rate": 1.7803746258349338e-05, + "loss": 0.8998, + "step": 2820 + }, + { + "epoch": 0.24, + "learning_rate": 1.7802029514873377e-05, + "loss": 0.9384, + "step": 2821 + }, + { + "epoch": 0.24, + "learning_rate": 1.7800312183534946e-05, + "loss": 0.9832, + "step": 2822 + }, + { + "epoch": 0.24, + "learning_rate": 1.7798594264463435e-05, + "loss": 0.9415, + "step": 2823 + }, + { + "epoch": 0.24, + "learning_rate": 1.779687575778829e-05, + "loss": 0.9746, + "step": 2824 + }, + { + "epoch": 0.24, + "learning_rate": 1.7795156663638993e-05, + "loss": 0.9522, + "step": 2825 + }, + { + "epoch": 0.24, + "learning_rate": 1.7793436982145073e-05, + "loss": 0.9461, + "step": 2826 + }, + { + "epoch": 0.24, + "learning_rate": 1.7791716713436107e-05, + "loss": 0.9267, + "step": 2827 + }, + { + "epoch": 0.24, + "learning_rate": 1.778999585764171e-05, + "loss": 0.933, + "step": 2828 + }, + { + "epoch": 0.24, + "learning_rate": 1.7788274414891543e-05, + "loss": 0.9838, + "step": 2829 + }, + { + "epoch": 0.24, + "learning_rate": 1.7788274414891543e-05, + "loss": 1.0006, + "step": 2830 + }, + { + "epoch": 0.24, + "learning_rate": 1.7786552385315314e-05, + "loss": 0.9523, + "step": 2831 + }, + { + "epoch": 0.24, + "learning_rate": 1.778482976904277e-05, + "loss": 0.9777, + "step": 2832 + }, + { + "epoch": 0.24, + "learning_rate": 1.778310656620371e-05, + "loss": 0.9145, + "step": 2833 + }, + { + "epoch": 0.24, + "learning_rate": 1.778138277692797e-05, + "loss": 0.9624, + "step": 2834 + }, + { + "epoch": 0.24, + "learning_rate": 1.7779658401345437e-05, + "loss": 0.9474, + "step": 2835 + }, + { + "epoch": 0.24, + "learning_rate": 1.7777933439586035e-05, + "loss": 0.9492, + "step": 2836 + }, + { + "epoch": 0.24, + "learning_rate": 1.7776207891779736e-05, + "loss": 0.962, + "step": 2837 + }, + { + "epoch": 0.24, + "learning_rate": 1.7774481758056553e-05, + "loss": 0.9352, + "step": 2838 + }, + { + "epoch": 0.24, + "learning_rate": 1.7772755038546552e-05, + "loss": 0.9965, + "step": 2839 + }, + { + "epoch": 0.24, + "learning_rate": 1.777102773337983e-05, + "loss": 0.9495, + "step": 2840 + }, + { + "epoch": 0.24, + "learning_rate": 1.7769299842686537e-05, + "loss": 0.9262, + "step": 2841 + }, + { + "epoch": 0.24, + "learning_rate": 1.776757136659687e-05, + "loss": 0.9306, + "step": 2842 + }, + { + "epoch": 0.24, + "learning_rate": 1.7765842305241055e-05, + "loss": 0.9926, + "step": 2843 + }, + { + "epoch": 0.24, + "learning_rate": 1.776411265874938e-05, + "loss": 0.977, + "step": 2844 + }, + { + "epoch": 0.24, + "learning_rate": 1.776238242725217e-05, + "loss": 0.9526, + "step": 2845 + }, + { + "epoch": 0.24, + "learning_rate": 1.7760651610879786e-05, + "loss": 0.9948, + "step": 2846 + }, + { + "epoch": 0.24, + "learning_rate": 1.7758920209762646e-05, + "loss": 0.9557, + "step": 2847 + }, + { + "epoch": 0.24, + "learning_rate": 1.7757188224031206e-05, + "loss": 0.9382, + "step": 2848 + }, + { + "epoch": 0.24, + "learning_rate": 1.775545565381597e-05, + "loss": 0.9743, + "step": 2849 + }, + { + "epoch": 0.24, + "learning_rate": 1.775372249924748e-05, + "loss": 0.9469, + "step": 2850 + }, + { + "epoch": 0.24, + "learning_rate": 1.7751988760456316e-05, + "loss": 0.963, + "step": 2851 + }, + { + "epoch": 0.24, + "learning_rate": 1.7750254437573127e-05, + "loss": 0.9823, + "step": 2852 + }, + { + "epoch": 0.24, + "learning_rate": 1.7748519530728578e-05, + "loss": 0.9383, + "step": 2853 + }, + { + "epoch": 0.24, + "learning_rate": 1.774678404005339e-05, + "loss": 0.928, + "step": 2854 + }, + { + "epoch": 0.24, + "learning_rate": 1.774504796567833e-05, + "loss": 0.9585, + "step": 2855 + }, + { + "epoch": 0.24, + "learning_rate": 1.7743311307734212e-05, + "loss": 0.9358, + "step": 2856 + }, + { + "epoch": 0.24, + "learning_rate": 1.774157406635188e-05, + "loss": 0.9298, + "step": 2857 + }, + { + "epoch": 0.24, + "learning_rate": 1.7739836241662235e-05, + "loss": 0.9584, + "step": 2858 + }, + { + "epoch": 0.24, + "learning_rate": 1.7738097833796218e-05, + "loss": 0.934, + "step": 2859 + }, + { + "epoch": 0.24, + "learning_rate": 1.773635884288481e-05, + "loss": 0.9927, + "step": 2860 + }, + { + "epoch": 0.24, + "learning_rate": 1.7734619269059043e-05, + "loss": 0.9646, + "step": 2861 + }, + { + "epoch": 0.24, + "learning_rate": 1.7732879112449987e-05, + "loss": 0.9366, + "step": 2862 + }, + { + "epoch": 0.24, + "learning_rate": 1.7731138373188762e-05, + "loss": 0.9933, + "step": 2863 + }, + { + "epoch": 0.24, + "learning_rate": 1.7729397051406523e-05, + "loss": 0.9412, + "step": 2864 + }, + { + "epoch": 0.24, + "learning_rate": 1.772765514723448e-05, + "loss": 0.9974, + "step": 2865 + }, + { + "epoch": 0.24, + "learning_rate": 1.772591266080387e-05, + "loss": 0.5905, + "step": 2866 + }, + { + "epoch": 0.24, + "learning_rate": 1.7724169592245996e-05, + "loss": 0.9917, + "step": 2867 + }, + { + "epoch": 0.24, + "learning_rate": 1.7722425941692193e-05, + "loss": 0.9684, + "step": 2868 + }, + { + "epoch": 0.24, + "learning_rate": 1.772068170927383e-05, + "loss": 0.9858, + "step": 2869 + }, + { + "epoch": 0.24, + "learning_rate": 1.7718936895122344e-05, + "loss": 0.9719, + "step": 2870 + }, + { + "epoch": 0.24, + "learning_rate": 1.7717191499369195e-05, + "loss": 0.9658, + "step": 2871 + }, + { + "epoch": 0.24, + "learning_rate": 1.7715445522145894e-05, + "loss": 0.9175, + "step": 2872 + }, + { + "epoch": 0.24, + "learning_rate": 1.7713698963583994e-05, + "loss": 0.964, + "step": 2873 + }, + { + "epoch": 0.24, + "learning_rate": 1.77119518238151e-05, + "loss": 0.9537, + "step": 2874 + }, + { + "epoch": 0.24, + "learning_rate": 1.7710204102970844e-05, + "loss": 0.9697, + "step": 2875 + }, + { + "epoch": 0.24, + "learning_rate": 1.7708455801182927e-05, + "loss": 0.9779, + "step": 2876 + }, + { + "epoch": 0.24, + "learning_rate": 1.7706706918583065e-05, + "loss": 0.9594, + "step": 2877 + }, + { + "epoch": 0.24, + "learning_rate": 1.770495745530304e-05, + "loss": 0.9597, + "step": 2878 + }, + { + "epoch": 0.24, + "learning_rate": 1.7703207411474666e-05, + "loss": 0.9859, + "step": 2879 + }, + { + "epoch": 0.24, + "learning_rate": 1.7701456787229805e-05, + "loss": 0.928, + "step": 2880 + }, + { + "epoch": 0.24, + "learning_rate": 1.7699705582700364e-05, + "loss": 0.9133, + "step": 2881 + }, + { + "epoch": 0.24, + "learning_rate": 1.7697953798018292e-05, + "loss": 0.9393, + "step": 2882 + }, + { + "epoch": 0.24, + "learning_rate": 1.7696201433315572e-05, + "loss": 0.9876, + "step": 2883 + }, + { + "epoch": 0.24, + "learning_rate": 1.769444848872425e-05, + "loss": 0.9816, + "step": 2884 + }, + { + "epoch": 0.24, + "learning_rate": 1.7692694964376404e-05, + "loss": 1.0319, + "step": 2885 + }, + { + "epoch": 0.24, + "learning_rate": 1.7690940860404158e-05, + "loss": 0.9538, + "step": 2886 + }, + { + "epoch": 0.24, + "learning_rate": 1.7689186176939675e-05, + "loss": 0.9638, + "step": 2887 + }, + { + "epoch": 0.24, + "learning_rate": 1.768743091411517e-05, + "loss": 0.9305, + "step": 2888 + }, + { + "epoch": 0.24, + "learning_rate": 1.7685675072062894e-05, + "loss": 0.9616, + "step": 2889 + }, + { + "epoch": 0.24, + "learning_rate": 1.7683918650915148e-05, + "loss": 0.9303, + "step": 2890 + }, + { + "epoch": 0.25, + "learning_rate": 1.768216165080427e-05, + "loss": 0.9326, + "step": 2891 + }, + { + "epoch": 0.25, + "learning_rate": 1.7680404071862653e-05, + "loss": 0.9784, + "step": 2892 + }, + { + "epoch": 0.25, + "learning_rate": 1.7678645914222718e-05, + "loss": 0.9821, + "step": 2893 + }, + { + "epoch": 0.25, + "learning_rate": 1.767688717801694e-05, + "loss": 0.9638, + "step": 2894 + }, + { + "epoch": 0.25, + "learning_rate": 1.767512786337784e-05, + "loss": 0.9773, + "step": 2895 + }, + { + "epoch": 0.25, + "learning_rate": 1.767336797043797e-05, + "loss": 1.0104, + "step": 2896 + }, + { + "epoch": 0.25, + "learning_rate": 1.767160749932994e-05, + "loss": 0.9227, + "step": 2897 + }, + { + "epoch": 0.25, + "learning_rate": 1.7669846450186384e-05, + "loss": 0.9661, + "step": 2898 + }, + { + "epoch": 0.25, + "learning_rate": 1.7668084823140012e-05, + "loss": 0.8874, + "step": 2899 + }, + { + "epoch": 0.25, + "learning_rate": 1.7666322618323546e-05, + "loss": 0.9319, + "step": 2900 + }, + { + "epoch": 0.25, + "learning_rate": 1.7664559835869763e-05, + "loss": 0.9423, + "step": 2901 + }, + { + "epoch": 0.25, + "learning_rate": 1.7662796475911488e-05, + "loss": 0.9662, + "step": 2902 + }, + { + "epoch": 0.25, + "learning_rate": 1.7661032538581586e-05, + "loss": 0.9984, + "step": 2903 + }, + { + "epoch": 0.25, + "learning_rate": 1.7659268024012962e-05, + "loss": 1.0079, + "step": 2904 + }, + { + "epoch": 0.25, + "learning_rate": 1.7657502932338568e-05, + "loss": 0.9478, + "step": 2905 + }, + { + "epoch": 0.25, + "learning_rate": 1.7655737263691398e-05, + "loss": 0.5602, + "step": 2906 + }, + { + "epoch": 0.25, + "learning_rate": 1.7653971018204498e-05, + "loss": 0.9671, + "step": 2907 + }, + { + "epoch": 0.25, + "learning_rate": 1.765220419601094e-05, + "loss": 0.9738, + "step": 2908 + }, + { + "epoch": 0.25, + "learning_rate": 1.7650436797243854e-05, + "loss": 0.9854, + "step": 2909 + }, + { + "epoch": 0.25, + "learning_rate": 1.764866882203641e-05, + "loss": 0.9391, + "step": 2910 + }, + { + "epoch": 0.25, + "learning_rate": 1.7646900270521817e-05, + "loss": 0.9666, + "step": 2911 + }, + { + "epoch": 0.25, + "learning_rate": 1.7645131142833336e-05, + "loss": 0.9302, + "step": 2912 + }, + { + "epoch": 0.25, + "learning_rate": 1.764336143910426e-05, + "loss": 1.0618, + "step": 2913 + }, + { + "epoch": 0.25, + "learning_rate": 1.7641591159467934e-05, + "loss": 0.9124, + "step": 2914 + }, + { + "epoch": 0.25, + "learning_rate": 1.7639820304057745e-05, + "loss": 0.9247, + "step": 2915 + }, + { + "epoch": 0.25, + "learning_rate": 1.7638048873007122e-05, + "loss": 0.9463, + "step": 2916 + }, + { + "epoch": 0.25, + "learning_rate": 1.7636276866449535e-05, + "loss": 0.9484, + "step": 2917 + }, + { + "epoch": 0.25, + "learning_rate": 1.763450428451851e-05, + "loss": 0.9546, + "step": 2918 + }, + { + "epoch": 0.25, + "learning_rate": 1.7632731127347588e-05, + "loss": 0.9555, + "step": 2919 + }, + { + "epoch": 0.25, + "learning_rate": 1.7630957395070387e-05, + "loss": 0.9794, + "step": 2920 + }, + { + "epoch": 0.25, + "learning_rate": 1.7629183087820546e-05, + "loss": 0.9815, + "step": 2921 + }, + { + "epoch": 0.25, + "learning_rate": 1.7627408205731762e-05, + "loss": 0.939, + "step": 2922 + }, + { + "epoch": 0.25, + "learning_rate": 1.762563274893776e-05, + "loss": 1.0041, + "step": 2923 + }, + { + "epoch": 0.25, + "learning_rate": 1.762385671757232e-05, + "loss": 0.9834, + "step": 2924 + }, + { + "epoch": 0.25, + "learning_rate": 1.7622080111769257e-05, + "loss": 0.9588, + "step": 2925 + }, + { + "epoch": 0.25, + "learning_rate": 1.762030293166244e-05, + "loss": 0.9571, + "step": 2926 + }, + { + "epoch": 0.25, + "learning_rate": 1.7618525177385768e-05, + "loss": 0.9697, + "step": 2927 + }, + { + "epoch": 0.25, + "learning_rate": 1.7616746849073195e-05, + "loss": 1.0105, + "step": 2928 + }, + { + "epoch": 0.25, + "learning_rate": 1.761496794685871e-05, + "loss": 0.9351, + "step": 2929 + }, + { + "epoch": 0.25, + "learning_rate": 1.7613188470876356e-05, + "loss": 0.968, + "step": 2930 + }, + { + "epoch": 0.25, + "learning_rate": 1.76114084212602e-05, + "loss": 0.9889, + "step": 2931 + }, + { + "epoch": 0.25, + "learning_rate": 1.7609627798144373e-05, + "loss": 0.9805, + "step": 2932 + }, + { + "epoch": 0.25, + "learning_rate": 1.7607846601663037e-05, + "loss": 0.9642, + "step": 2933 + }, + { + "epoch": 0.25, + "learning_rate": 1.7606064831950403e-05, + "loss": 0.9396, + "step": 2934 + }, + { + "epoch": 0.25, + "learning_rate": 1.7604282489140718e-05, + "loss": 0.9511, + "step": 2935 + }, + { + "epoch": 0.25, + "learning_rate": 1.760249957336828e-05, + "loss": 0.993, + "step": 2936 + }, + { + "epoch": 0.25, + "learning_rate": 1.760071608476743e-05, + "loss": 0.9639, + "step": 2937 + }, + { + "epoch": 0.25, + "learning_rate": 1.7598932023472546e-05, + "loss": 0.9625, + "step": 2938 + }, + { + "epoch": 0.25, + "learning_rate": 1.759714738961805e-05, + "loss": 0.9235, + "step": 2939 + }, + { + "epoch": 0.25, + "learning_rate": 1.759536218333841e-05, + "loss": 0.931, + "step": 2940 + }, + { + "epoch": 0.25, + "learning_rate": 1.7593576404768146e-05, + "loss": 1.0075, + "step": 2941 + }, + { + "epoch": 0.25, + "learning_rate": 1.7591790054041796e-05, + "loss": 0.9997, + "step": 2942 + }, + { + "epoch": 0.25, + "learning_rate": 1.7590003131293967e-05, + "loss": 0.9746, + "step": 2943 + }, + { + "epoch": 0.25, + "learning_rate": 1.7588215636659297e-05, + "loss": 0.955, + "step": 2944 + }, + { + "epoch": 0.25, + "learning_rate": 1.758642757027247e-05, + "loss": 0.5573, + "step": 2945 + }, + { + "epoch": 0.25, + "learning_rate": 1.758463893226821e-05, + "loss": 0.9409, + "step": 2946 + }, + { + "epoch": 0.25, + "learning_rate": 1.758284972278129e-05, + "loss": 0.9566, + "step": 2947 + }, + { + "epoch": 0.25, + "learning_rate": 1.7581059941946517e-05, + "loss": 0.9187, + "step": 2948 + }, + { + "epoch": 0.25, + "learning_rate": 1.757926958989875e-05, + "loss": 0.9763, + "step": 2949 + }, + { + "epoch": 0.25, + "learning_rate": 1.7577478666772886e-05, + "loss": 0.9579, + "step": 2950 + }, + { + "epoch": 0.25, + "learning_rate": 1.7575687172703865e-05, + "loss": 0.9558, + "step": 2951 + }, + { + "epoch": 0.25, + "learning_rate": 1.757389510782667e-05, + "loss": 0.9973, + "step": 2952 + }, + { + "epoch": 0.25, + "learning_rate": 1.7572102472276335e-05, + "loss": 0.9514, + "step": 2953 + }, + { + "epoch": 0.25, + "learning_rate": 1.757030926618793e-05, + "loss": 0.9474, + "step": 2954 + }, + { + "epoch": 0.25, + "learning_rate": 1.7568515489696558e-05, + "loss": 0.9945, + "step": 2955 + }, + { + "epoch": 0.25, + "learning_rate": 1.7566721142937386e-05, + "loss": 1.0042, + "step": 2956 + }, + { + "epoch": 0.25, + "learning_rate": 1.7564926226045612e-05, + "loss": 0.8981, + "step": 2957 + }, + { + "epoch": 0.25, + "learning_rate": 1.756313073915647e-05, + "loss": 0.9437, + "step": 2958 + }, + { + "epoch": 0.25, + "learning_rate": 1.7561334682405257e-05, + "loss": 0.5731, + "step": 2959 + }, + { + "epoch": 0.25, + "learning_rate": 1.7559538055927293e-05, + "loss": 0.9331, + "step": 2960 + }, + { + "epoch": 0.25, + "learning_rate": 1.7557740859857953e-05, + "loss": 0.9309, + "step": 2961 + }, + { + "epoch": 0.25, + "learning_rate": 1.7555943094332647e-05, + "loss": 0.5477, + "step": 2962 + }, + { + "epoch": 0.25, + "learning_rate": 1.7554144759486833e-05, + "loss": 0.9673, + "step": 2963 + }, + { + "epoch": 0.25, + "learning_rate": 1.7552345855456017e-05, + "loss": 0.9836, + "step": 2964 + }, + { + "epoch": 0.25, + "learning_rate": 1.7550546382375734e-05, + "loss": 0.9783, + "step": 2965 + }, + { + "epoch": 0.25, + "learning_rate": 1.754874634038157e-05, + "loss": 1.0108, + "step": 2966 + }, + { + "epoch": 0.25, + "learning_rate": 1.7546945729609162e-05, + "loss": 0.9602, + "step": 2967 + }, + { + "epoch": 0.25, + "learning_rate": 1.7545144550194174e-05, + "loss": 0.958, + "step": 2968 + }, + { + "epoch": 0.25, + "learning_rate": 1.7543342802272318e-05, + "loss": 0.943, + "step": 2969 + }, + { + "epoch": 0.25, + "learning_rate": 1.7541540485979357e-05, + "loss": 0.955, + "step": 2970 + }, + { + "epoch": 0.25, + "learning_rate": 1.7539737601451084e-05, + "loss": 0.9363, + "step": 2971 + }, + { + "epoch": 0.25, + "learning_rate": 1.7537934148823353e-05, + "loss": 0.9343, + "step": 2972 + }, + { + "epoch": 0.25, + "learning_rate": 1.7536130128232035e-05, + "loss": 0.6064, + "step": 2973 + }, + { + "epoch": 0.25, + "learning_rate": 1.753432553981307e-05, + "loss": 0.5822, + "step": 2974 + }, + { + "epoch": 0.25, + "learning_rate": 1.7532520383702425e-05, + "loss": 0.9559, + "step": 2975 + }, + { + "epoch": 0.25, + "learning_rate": 1.7530714660036112e-05, + "loss": 0.9656, + "step": 2976 + }, + { + "epoch": 0.25, + "learning_rate": 1.7528908368950187e-05, + "loss": 0.9627, + "step": 2977 + }, + { + "epoch": 0.25, + "learning_rate": 1.7527101510580754e-05, + "loss": 0.9419, + "step": 2978 + }, + { + "epoch": 0.25, + "learning_rate": 1.752529408506395e-05, + "loss": 0.5571, + "step": 2979 + }, + { + "epoch": 0.25, + "learning_rate": 1.7523486092535962e-05, + "loss": 0.9641, + "step": 2980 + }, + { + "epoch": 0.25, + "learning_rate": 1.752167753313302e-05, + "loss": 0.9869, + "step": 2981 + }, + { + "epoch": 0.25, + "learning_rate": 1.751986840699139e-05, + "loss": 0.9719, + "step": 2982 + }, + { + "epoch": 0.25, + "learning_rate": 1.7518058714247383e-05, + "loss": 0.948, + "step": 2983 + }, + { + "epoch": 0.25, + "learning_rate": 1.7516248455037363e-05, + "loss": 0.5585, + "step": 2984 + }, + { + "epoch": 0.25, + "learning_rate": 1.751443762949772e-05, + "loss": 0.9635, + "step": 2985 + }, + { + "epoch": 0.25, + "learning_rate": 1.7512626237764903e-05, + "loss": 0.6638, + "step": 2986 + }, + { + "epoch": 0.25, + "learning_rate": 1.7510814279975387e-05, + "loss": 0.9314, + "step": 2987 + }, + { + "epoch": 0.25, + "learning_rate": 1.7509001756265704e-05, + "loss": 0.9619, + "step": 2988 + }, + { + "epoch": 0.25, + "learning_rate": 1.750718866677242e-05, + "loss": 0.9159, + "step": 2989 + }, + { + "epoch": 0.25, + "learning_rate": 1.750537501163215e-05, + "loss": 0.9836, + "step": 2990 + }, + { + "epoch": 0.25, + "learning_rate": 1.7503560790981545e-05, + "loss": 0.9461, + "step": 2991 + }, + { + "epoch": 0.25, + "learning_rate": 1.7501746004957302e-05, + "loss": 0.9699, + "step": 2992 + }, + { + "epoch": 0.25, + "learning_rate": 1.749993065369616e-05, + "loss": 0.9594, + "step": 2993 + }, + { + "epoch": 0.25, + "learning_rate": 1.7498114737334902e-05, + "loss": 1.0066, + "step": 2994 + }, + { + "epoch": 0.25, + "learning_rate": 1.7496298256010353e-05, + "loss": 0.9864, + "step": 2995 + }, + { + "epoch": 0.25, + "learning_rate": 1.749448120985938e-05, + "loss": 0.5477, + "step": 2996 + }, + { + "epoch": 0.25, + "learning_rate": 1.7492663599018893e-05, + "loss": 1.0171, + "step": 2997 + }, + { + "epoch": 0.25, + "learning_rate": 1.749084542362584e-05, + "loss": 0.9593, + "step": 2998 + }, + { + "epoch": 0.25, + "learning_rate": 1.7489026683817226e-05, + "loss": 0.9922, + "step": 2999 + }, + { + "epoch": 0.25, + "learning_rate": 1.7487207379730078e-05, + "loss": 0.9148, + "step": 3000 + }, + { + "epoch": 0.25, + "learning_rate": 1.748538751150148e-05, + "loss": 0.9576, + "step": 3001 + }, + { + "epoch": 0.25, + "learning_rate": 1.7483567079268555e-05, + "loss": 0.9136, + "step": 3002 + }, + { + "epoch": 0.25, + "learning_rate": 1.748174608316846e-05, + "loss": 0.9365, + "step": 3003 + }, + { + "epoch": 0.25, + "learning_rate": 1.7479924523338413e-05, + "loss": 1.0278, + "step": 3004 + }, + { + "epoch": 0.25, + "learning_rate": 1.747810239991566e-05, + "loss": 0.9407, + "step": 3005 + }, + { + "epoch": 0.25, + "learning_rate": 1.747627971303749e-05, + "loss": 0.9095, + "step": 3006 + }, + { + "epoch": 0.25, + "learning_rate": 1.7474456462841245e-05, + "loss": 0.9646, + "step": 3007 + }, + { + "epoch": 0.25, + "learning_rate": 1.7472632649464295e-05, + "loss": 0.9365, + "step": 3008 + }, + { + "epoch": 0.26, + "learning_rate": 1.747080827304406e-05, + "loss": 0.9021, + "step": 3009 + }, + { + "epoch": 0.26, + "learning_rate": 1.7468983333718006e-05, + "loss": 0.9108, + "step": 3010 + }, + { + "epoch": 0.26, + "learning_rate": 1.7467157831623636e-05, + "loss": 0.9558, + "step": 3011 + }, + { + "epoch": 0.26, + "learning_rate": 1.74653317668985e-05, + "loss": 0.9489, + "step": 3012 + }, + { + "epoch": 0.26, + "learning_rate": 1.746350513968018e-05, + "loss": 0.9536, + "step": 3013 + }, + { + "epoch": 0.26, + "learning_rate": 1.7461677950106306e-05, + "loss": 0.9522, + "step": 3014 + }, + { + "epoch": 0.26, + "learning_rate": 1.7459850198314562e-05, + "loss": 0.9674, + "step": 3015 + }, + { + "epoch": 0.26, + "learning_rate": 1.745802188444266e-05, + "loss": 0.9907, + "step": 3016 + }, + { + "epoch": 0.26, + "learning_rate": 1.7456193008628353e-05, + "loss": 0.9786, + "step": 3017 + }, + { + "epoch": 0.26, + "learning_rate": 1.7454363571009452e-05, + "loss": 0.9214, + "step": 3018 + }, + { + "epoch": 0.26, + "learning_rate": 1.7452533571723793e-05, + "loss": 0.9363, + "step": 3019 + }, + { + "epoch": 0.26, + "learning_rate": 1.7450703010909263e-05, + "loss": 0.9755, + "step": 3020 + }, + { + "epoch": 0.26, + "learning_rate": 1.7448871888703792e-05, + "loss": 0.9878, + "step": 3021 + }, + { + "epoch": 0.26, + "learning_rate": 1.744704020524535e-05, + "loss": 0.9969, + "step": 3022 + }, + { + "epoch": 0.26, + "learning_rate": 1.744520796067195e-05, + "loss": 1.0069, + "step": 3023 + }, + { + "epoch": 0.26, + "learning_rate": 1.744337515512164e-05, + "loss": 0.9514, + "step": 3024 + }, + { + "epoch": 0.26, + "learning_rate": 1.7441541788732528e-05, + "loss": 0.8625, + "step": 3025 + }, + { + "epoch": 0.26, + "learning_rate": 1.743970786164275e-05, + "loss": 0.9452, + "step": 3026 + }, + { + "epoch": 0.26, + "learning_rate": 1.7437873373990478e-05, + "loss": 0.9593, + "step": 3027 + }, + { + "epoch": 0.26, + "learning_rate": 1.7436038325913946e-05, + "loss": 0.9779, + "step": 3028 + }, + { + "epoch": 0.26, + "learning_rate": 1.7434202717551417e-05, + "loss": 0.9725, + "step": 3029 + }, + { + "epoch": 0.26, + "learning_rate": 1.7432366549041203e-05, + "loss": 0.9775, + "step": 3030 + }, + { + "epoch": 0.26, + "learning_rate": 1.7430529820521647e-05, + "loss": 0.9675, + "step": 3031 + }, + { + "epoch": 0.26, + "learning_rate": 1.742869253213115e-05, + "loss": 0.9732, + "step": 3032 + }, + { + "epoch": 0.26, + "learning_rate": 1.742685468400814e-05, + "loss": 0.9607, + "step": 3033 + }, + { + "epoch": 0.26, + "learning_rate": 1.74250162762911e-05, + "loss": 0.5237, + "step": 3034 + }, + { + "epoch": 0.26, + "learning_rate": 1.742317730911854e-05, + "loss": 0.9834, + "step": 3035 + }, + { + "epoch": 0.26, + "learning_rate": 1.742133778262903e-05, + "loss": 0.9601, + "step": 3036 + }, + { + "epoch": 0.26, + "learning_rate": 1.7419497696961172e-05, + "loss": 0.9548, + "step": 3037 + }, + { + "epoch": 0.26, + "learning_rate": 1.741765705225361e-05, + "loss": 0.9817, + "step": 3038 + }, + { + "epoch": 0.26, + "learning_rate": 1.7415815848645032e-05, + "loss": 0.946, + "step": 3039 + }, + { + "epoch": 0.26, + "learning_rate": 1.741397408627417e-05, + "loss": 0.9422, + "step": 3040 + }, + { + "epoch": 0.26, + "learning_rate": 1.741213176527979e-05, + "loss": 0.9419, + "step": 3041 + }, + { + "epoch": 0.26, + "learning_rate": 1.7410288885800716e-05, + "loss": 0.9738, + "step": 3042 + }, + { + "epoch": 0.26, + "learning_rate": 1.7408445447975794e-05, + "loss": 0.9589, + "step": 3043 + }, + { + "epoch": 0.26, + "learning_rate": 1.740660145194393e-05, + "loss": 0.9519, + "step": 3044 + }, + { + "epoch": 0.26, + "learning_rate": 1.7404756897844054e-05, + "loss": 0.939, + "step": 3045 + }, + { + "epoch": 0.26, + "learning_rate": 1.740291178581516e-05, + "loss": 0.5443, + "step": 3046 + }, + { + "epoch": 0.26, + "learning_rate": 1.7401066115996265e-05, + "loss": 0.9666, + "step": 3047 + }, + { + "epoch": 0.26, + "learning_rate": 1.7399219888526438e-05, + "loss": 0.9414, + "step": 3048 + }, + { + "epoch": 0.26, + "learning_rate": 1.739737310354479e-05, + "loss": 0.9323, + "step": 3049 + }, + { + "epoch": 0.26, + "learning_rate": 1.7395525761190466e-05, + "loss": 0.9552, + "step": 3050 + }, + { + "epoch": 0.26, + "learning_rate": 1.739367786160266e-05, + "loss": 0.9985, + "step": 3051 + }, + { + "epoch": 0.26, + "learning_rate": 1.7391829404920612e-05, + "loss": 0.8973, + "step": 3052 + }, + { + "epoch": 0.26, + "learning_rate": 1.738998039128359e-05, + "loss": 0.9466, + "step": 3053 + }, + { + "epoch": 0.26, + "learning_rate": 1.7388130820830914e-05, + "loss": 0.9763, + "step": 3054 + }, + { + "epoch": 0.26, + "learning_rate": 1.738628069370195e-05, + "loss": 0.9238, + "step": 3055 + }, + { + "epoch": 0.26, + "learning_rate": 1.7384430010036098e-05, + "loss": 1.0084, + "step": 3056 + }, + { + "epoch": 0.26, + "learning_rate": 1.73825787699728e-05, + "loss": 0.9655, + "step": 3057 + }, + { + "epoch": 0.26, + "learning_rate": 1.738072697365154e-05, + "loss": 0.9636, + "step": 3058 + }, + { + "epoch": 0.26, + "learning_rate": 1.737887462121185e-05, + "loss": 0.9327, + "step": 3059 + }, + { + "epoch": 0.26, + "learning_rate": 1.73770217127933e-05, + "loss": 1.0214, + "step": 3060 + }, + { + "epoch": 0.26, + "learning_rate": 1.7375168248535498e-05, + "loss": 0.952, + "step": 3061 + }, + { + "epoch": 0.26, + "learning_rate": 1.73733142285781e-05, + "loss": 0.9853, + "step": 3062 + }, + { + "epoch": 0.26, + "learning_rate": 1.7371459653060806e-05, + "loss": 0.9748, + "step": 3063 + }, + { + "epoch": 0.26, + "learning_rate": 1.7369604522123348e-05, + "loss": 0.971, + "step": 3064 + }, + { + "epoch": 0.26, + "learning_rate": 1.7367748835905504e-05, + "loss": 0.9596, + "step": 3065 + }, + { + "epoch": 0.26, + "learning_rate": 1.7365892594547097e-05, + "loss": 0.9801, + "step": 3066 + }, + { + "epoch": 0.26, + "learning_rate": 1.736403579818799e-05, + "loss": 0.9439, + "step": 3067 + }, + { + "epoch": 0.26, + "learning_rate": 1.7362178446968093e-05, + "loss": 0.9436, + "step": 3068 + }, + { + "epoch": 0.26, + "learning_rate": 1.7360320541027342e-05, + "loss": 1.0162, + "step": 3069 + }, + { + "epoch": 0.26, + "learning_rate": 1.7358462080505734e-05, + "loss": 0.941, + "step": 3070 + }, + { + "epoch": 0.26, + "learning_rate": 1.73566030655433e-05, + "loss": 1.0025, + "step": 3071 + }, + { + "epoch": 0.26, + "learning_rate": 1.7354743496280103e-05, + "loss": 0.8976, + "step": 3072 + }, + { + "epoch": 0.26, + "learning_rate": 1.735288337285626e-05, + "loss": 0.9822, + "step": 3073 + }, + { + "epoch": 0.26, + "learning_rate": 1.735102269541193e-05, + "loss": 0.9807, + "step": 3074 + }, + { + "epoch": 0.26, + "learning_rate": 1.7349161464087312e-05, + "loss": 0.9484, + "step": 3075 + }, + { + "epoch": 0.26, + "learning_rate": 1.7347299679022637e-05, + "loss": 0.8859, + "step": 3076 + }, + { + "epoch": 0.26, + "learning_rate": 1.7345437340358194e-05, + "loss": 0.9688, + "step": 3077 + }, + { + "epoch": 0.26, + "learning_rate": 1.7343574448234294e-05, + "loss": 0.9619, + "step": 3078 + }, + { + "epoch": 0.26, + "learning_rate": 1.7341711002791316e-05, + "loss": 1.0029, + "step": 3079 + }, + { + "epoch": 0.26, + "learning_rate": 1.7339847004169653e-05, + "loss": 0.9983, + "step": 3080 + }, + { + "epoch": 0.26, + "learning_rate": 1.7337982452509757e-05, + "loss": 0.9671, + "step": 3081 + }, + { + "epoch": 0.26, + "learning_rate": 1.733611734795212e-05, + "loss": 0.951, + "step": 3082 + }, + { + "epoch": 0.26, + "learning_rate": 1.7334251690637272e-05, + "loss": 0.9486, + "step": 3083 + }, + { + "epoch": 0.26, + "learning_rate": 1.733238548070578e-05, + "loss": 0.9583, + "step": 3084 + }, + { + "epoch": 0.26, + "learning_rate": 1.7330518718298263e-05, + "loss": 0.9511, + "step": 3085 + }, + { + "epoch": 0.26, + "learning_rate": 1.7328651403555378e-05, + "loss": 0.9667, + "step": 3086 + }, + { + "epoch": 0.26, + "learning_rate": 1.7326783536617817e-05, + "loss": 0.9548, + "step": 3087 + }, + { + "epoch": 0.26, + "learning_rate": 1.732491511762632e-05, + "loss": 0.9874, + "step": 3088 + }, + { + "epoch": 0.26, + "learning_rate": 1.732304614672167e-05, + "loss": 0.975, + "step": 3089 + }, + { + "epoch": 0.26, + "learning_rate": 1.732117662404469e-05, + "loss": 0.985, + "step": 3090 + }, + { + "epoch": 0.26, + "learning_rate": 1.731930654973624e-05, + "loss": 0.9152, + "step": 3091 + }, + { + "epoch": 0.26, + "learning_rate": 1.7317435923937224e-05, + "loss": 0.9511, + "step": 3092 + }, + { + "epoch": 0.26, + "learning_rate": 1.7315564746788592e-05, + "loss": 0.9683, + "step": 3093 + }, + { + "epoch": 0.26, + "learning_rate": 1.7313693018431336e-05, + "loss": 0.9254, + "step": 3094 + }, + { + "epoch": 0.26, + "learning_rate": 1.731182073900648e-05, + "loss": 0.9519, + "step": 3095 + }, + { + "epoch": 0.26, + "learning_rate": 1.7309947908655096e-05, + "loss": 0.9764, + "step": 3096 + }, + { + "epoch": 0.26, + "learning_rate": 1.73080745275183e-05, + "loss": 0.944, + "step": 3097 + }, + { + "epoch": 0.26, + "learning_rate": 1.730620059573724e-05, + "loss": 0.9606, + "step": 3098 + }, + { + "epoch": 0.26, + "learning_rate": 1.730432611345312e-05, + "loss": 0.9744, + "step": 3099 + }, + { + "epoch": 0.26, + "learning_rate": 1.730245108080717e-05, + "loss": 0.9575, + "step": 3100 + }, + { + "epoch": 0.26, + "learning_rate": 1.7300575497940675e-05, + "loss": 0.9828, + "step": 3101 + }, + { + "epoch": 0.26, + "learning_rate": 1.7298699364994952e-05, + "loss": 0.9127, + "step": 3102 + }, + { + "epoch": 0.26, + "learning_rate": 1.729682268211136e-05, + "loss": 0.9192, + "step": 3103 + }, + { + "epoch": 0.26, + "learning_rate": 1.729494544943131e-05, + "loss": 1.0004, + "step": 3104 + }, + { + "epoch": 0.26, + "learning_rate": 1.729306766709624e-05, + "loss": 0.9665, + "step": 3105 + }, + { + "epoch": 0.26, + "learning_rate": 1.7291189335247636e-05, + "loss": 0.9437, + "step": 3106 + }, + { + "epoch": 0.26, + "learning_rate": 1.728931045402703e-05, + "loss": 0.9582, + "step": 3107 + }, + { + "epoch": 0.26, + "learning_rate": 1.7287431023575988e-05, + "loss": 0.9034, + "step": 3108 + }, + { + "epoch": 0.26, + "learning_rate": 1.7285551044036117e-05, + "loss": 0.9728, + "step": 3109 + }, + { + "epoch": 0.26, + "learning_rate": 1.7283670515549073e-05, + "loss": 1.0072, + "step": 3110 + }, + { + "epoch": 0.26, + "learning_rate": 1.728178943825655e-05, + "loss": 0.9449, + "step": 3111 + }, + { + "epoch": 0.26, + "learning_rate": 1.7279907812300276e-05, + "loss": 0.9426, + "step": 3112 + }, + { + "epoch": 0.26, + "learning_rate": 1.7278025637822035e-05, + "loss": 0.9131, + "step": 3113 + }, + { + "epoch": 0.26, + "learning_rate": 1.7276142914963635e-05, + "loss": 0.6253, + "step": 3114 + }, + { + "epoch": 0.26, + "learning_rate": 1.727425964386694e-05, + "loss": 0.9148, + "step": 3115 + }, + { + "epoch": 0.26, + "learning_rate": 1.7272375824673848e-05, + "loss": 0.9541, + "step": 3116 + }, + { + "epoch": 0.26, + "learning_rate": 1.72704914575263e-05, + "loss": 0.9423, + "step": 3117 + }, + { + "epoch": 0.26, + "learning_rate": 1.7268606542566276e-05, + "loss": 0.9132, + "step": 3118 + }, + { + "epoch": 0.26, + "learning_rate": 1.7266721079935803e-05, + "loss": 0.9524, + "step": 3119 + }, + { + "epoch": 0.26, + "learning_rate": 1.7264835069776945e-05, + "loss": 0.9983, + "step": 3120 + }, + { + "epoch": 0.26, + "learning_rate": 1.7262948512231806e-05, + "loss": 0.9432, + "step": 3121 + }, + { + "epoch": 0.26, + "learning_rate": 1.7261061407442536e-05, + "loss": 0.9928, + "step": 3122 + }, + { + "epoch": 0.26, + "learning_rate": 1.725917375555132e-05, + "loss": 1.0078, + "step": 3123 + }, + { + "epoch": 0.26, + "learning_rate": 1.725728555670039e-05, + "loss": 0.9497, + "step": 3124 + }, + { + "epoch": 0.26, + "learning_rate": 1.7255396811032014e-05, + "loss": 0.5799, + "step": 3125 + }, + { + "epoch": 0.26, + "learning_rate": 1.725350751868851e-05, + "loss": 0.9615, + "step": 3126 + }, + { + "epoch": 0.27, + "learning_rate": 1.7251617679812224e-05, + "loss": 0.974, + "step": 3127 + }, + { + "epoch": 0.27, + "learning_rate": 1.7249727294545552e-05, + "loss": 1.0013, + "step": 3128 + }, + { + "epoch": 0.27, + "learning_rate": 1.7247836363030935e-05, + "loss": 0.932, + "step": 3129 + }, + { + "epoch": 0.27, + "learning_rate": 1.7245944885410845e-05, + "loss": 0.9553, + "step": 3130 + }, + { + "epoch": 0.27, + "learning_rate": 1.7244052861827803e-05, + "loss": 1.0, + "step": 3131 + }, + { + "epoch": 0.27, + "learning_rate": 1.7242160292424362e-05, + "loss": 0.9951, + "step": 3132 + }, + { + "epoch": 0.27, + "learning_rate": 1.7240267177343127e-05, + "loss": 1.0148, + "step": 3133 + }, + { + "epoch": 0.27, + "learning_rate": 1.7238373516726737e-05, + "loss": 0.9779, + "step": 3134 + }, + { + "epoch": 0.27, + "learning_rate": 1.7236479310717878e-05, + "loss": 0.9844, + "step": 3135 + }, + { + "epoch": 0.27, + "learning_rate": 1.7234584559459274e-05, + "loss": 0.9639, + "step": 3136 + }, + { + "epoch": 0.27, + "learning_rate": 1.723268926309368e-05, + "loss": 0.9752, + "step": 3137 + }, + { + "epoch": 0.27, + "learning_rate": 1.7230793421763914e-05, + "loss": 0.9707, + "step": 3138 + }, + { + "epoch": 0.27, + "learning_rate": 1.7228897035612815e-05, + "loss": 0.9871, + "step": 3139 + }, + { + "epoch": 0.27, + "learning_rate": 1.7227000104783274e-05, + "loss": 0.9275, + "step": 3140 + }, + { + "epoch": 0.27, + "learning_rate": 1.7225102629418217e-05, + "loss": 0.9572, + "step": 3141 + }, + { + "epoch": 0.27, + "learning_rate": 1.7223204609660613e-05, + "loss": 0.9388, + "step": 3142 + }, + { + "epoch": 0.27, + "learning_rate": 1.7221306045653477e-05, + "loss": 0.9469, + "step": 3143 + }, + { + "epoch": 0.27, + "learning_rate": 1.721940693753986e-05, + "loss": 0.9569, + "step": 3144 + }, + { + "epoch": 0.27, + "learning_rate": 1.7217507285462854e-05, + "loss": 0.9726, + "step": 3145 + }, + { + "epoch": 0.27, + "learning_rate": 1.721560708956559e-05, + "loss": 0.9367, + "step": 3146 + }, + { + "epoch": 0.27, + "learning_rate": 1.7213706349991243e-05, + "loss": 0.9849, + "step": 3147 + }, + { + "epoch": 0.27, + "learning_rate": 1.721180506688304e-05, + "loss": 0.9301, + "step": 3148 + }, + { + "epoch": 0.27, + "learning_rate": 1.720990324038422e-05, + "loss": 0.9595, + "step": 3149 + }, + { + "epoch": 0.27, + "learning_rate": 1.7208000870638094e-05, + "loss": 0.9706, + "step": 3150 + }, + { + "epoch": 0.27, + "learning_rate": 1.7206097957787993e-05, + "loss": 0.9956, + "step": 3151 + }, + { + "epoch": 0.27, + "learning_rate": 1.72041945019773e-05, + "loss": 0.9546, + "step": 3152 + }, + { + "epoch": 0.27, + "learning_rate": 1.7202290503349436e-05, + "loss": 0.9638, + "step": 3153 + }, + { + "epoch": 0.27, + "learning_rate": 1.7200385962047863e-05, + "loss": 0.9227, + "step": 3154 + }, + { + "epoch": 0.27, + "learning_rate": 1.719848087821608e-05, + "loss": 0.9543, + "step": 3155 + }, + { + "epoch": 0.27, + "learning_rate": 1.719657525199763e-05, + "loss": 0.9638, + "step": 3156 + }, + { + "epoch": 0.27, + "learning_rate": 1.71946690835361e-05, + "loss": 0.9654, + "step": 3157 + }, + { + "epoch": 0.27, + "learning_rate": 1.719276237297511e-05, + "loss": 0.9078, + "step": 3158 + }, + { + "epoch": 0.27, + "learning_rate": 1.7190855120458333e-05, + "loss": 1.0415, + "step": 3159 + }, + { + "epoch": 0.27, + "learning_rate": 1.718894732612947e-05, + "loss": 0.6042, + "step": 3160 + }, + { + "epoch": 0.27, + "learning_rate": 1.7187038990132266e-05, + "loss": 0.9526, + "step": 3161 + }, + { + "epoch": 0.27, + "learning_rate": 1.7185130112610518e-05, + "loss": 0.9848, + "step": 3162 + }, + { + "epoch": 0.27, + "learning_rate": 1.7183220693708047e-05, + "loss": 0.5003, + "step": 3163 + }, + { + "epoch": 0.27, + "learning_rate": 1.7181310733568725e-05, + "loss": 0.8895, + "step": 3164 + }, + { + "epoch": 0.27, + "learning_rate": 1.7179400232336462e-05, + "loss": 0.9526, + "step": 3165 + }, + { + "epoch": 0.27, + "learning_rate": 1.7177489190155213e-05, + "loss": 0.9288, + "step": 3166 + }, + { + "epoch": 0.27, + "learning_rate": 1.7175577607168964e-05, + "loss": 0.9105, + "step": 3167 + }, + { + "epoch": 0.27, + "learning_rate": 1.7173665483521757e-05, + "loss": 0.9356, + "step": 3168 + }, + { + "epoch": 0.27, + "learning_rate": 1.7171752819357653e-05, + "loss": 0.9699, + "step": 3169 + }, + { + "epoch": 0.27, + "learning_rate": 1.7169839614820775e-05, + "loss": 0.8883, + "step": 3170 + }, + { + "epoch": 0.27, + "learning_rate": 1.7167925870055273e-05, + "loss": 0.9178, + "step": 3171 + }, + { + "epoch": 0.27, + "learning_rate": 1.7166011585205348e-05, + "loss": 1.0244, + "step": 3172 + }, + { + "epoch": 0.27, + "learning_rate": 1.7164096760415232e-05, + "loss": 1.015, + "step": 3173 + }, + { + "epoch": 0.27, + "learning_rate": 1.7162181395829204e-05, + "loss": 0.9152, + "step": 3174 + }, + { + "epoch": 0.27, + "learning_rate": 1.716026549159158e-05, + "loss": 0.9724, + "step": 3175 + }, + { + "epoch": 0.27, + "learning_rate": 1.715834904784672e-05, + "loss": 0.9501, + "step": 3176 + }, + { + "epoch": 0.27, + "learning_rate": 1.7156432064739024e-05, + "loss": 0.9519, + "step": 3177 + }, + { + "epoch": 0.27, + "learning_rate": 1.7154514542412935e-05, + "loss": 0.9972, + "step": 3178 + }, + { + "epoch": 0.27, + "learning_rate": 1.7152596481012922e-05, + "loss": 0.936, + "step": 3179 + }, + { + "epoch": 0.27, + "learning_rate": 1.7150677880683515e-05, + "loss": 0.9865, + "step": 3180 + }, + { + "epoch": 0.27, + "learning_rate": 1.714875874156927e-05, + "loss": 0.9424, + "step": 3181 + }, + { + "epoch": 0.27, + "learning_rate": 1.7146839063814795e-05, + "loss": 0.9598, + "step": 3182 + }, + { + "epoch": 0.27, + "learning_rate": 1.714491884756473e-05, + "loss": 0.9137, + "step": 3183 + }, + { + "epoch": 0.27, + "learning_rate": 1.7142998092963756e-05, + "loss": 0.9722, + "step": 3184 + }, + { + "epoch": 0.27, + "learning_rate": 1.71410768001566e-05, + "loss": 0.9273, + "step": 3185 + }, + { + "epoch": 0.27, + "learning_rate": 1.7139154969288026e-05, + "loss": 0.9959, + "step": 3186 + }, + { + "epoch": 0.27, + "learning_rate": 1.7137232600502836e-05, + "loss": 0.9319, + "step": 3187 + }, + { + "epoch": 0.27, + "learning_rate": 1.7135309693945877e-05, + "loss": 0.9163, + "step": 3188 + }, + { + "epoch": 0.27, + "learning_rate": 1.713338624976204e-05, + "loss": 0.9285, + "step": 3189 + }, + { + "epoch": 0.27, + "learning_rate": 1.7131462268096248e-05, + "loss": 0.9648, + "step": 3190 + }, + { + "epoch": 0.27, + "learning_rate": 1.712953774909346e-05, + "loss": 0.9203, + "step": 3191 + }, + { + "epoch": 0.27, + "learning_rate": 1.7127612692898695e-05, + "loss": 0.9768, + "step": 3192 + }, + { + "epoch": 0.27, + "learning_rate": 1.7125687099656993e-05, + "loss": 0.607, + "step": 3193 + }, + { + "epoch": 0.27, + "learning_rate": 1.712376096951345e-05, + "loss": 1.0072, + "step": 3194 + }, + { + "epoch": 0.27, + "learning_rate": 1.712183430261319e-05, + "loss": 0.9735, + "step": 3195 + }, + { + "epoch": 0.27, + "learning_rate": 1.7119907099101382e-05, + "loss": 0.97, + "step": 3196 + }, + { + "epoch": 0.27, + "learning_rate": 1.7117979359123237e-05, + "loss": 0.9241, + "step": 3197 + }, + { + "epoch": 0.27, + "learning_rate": 1.7116051082824003e-05, + "loss": 0.9149, + "step": 3198 + }, + { + "epoch": 0.27, + "learning_rate": 1.7114122270348972e-05, + "loss": 0.9511, + "step": 3199 + }, + { + "epoch": 0.27, + "learning_rate": 1.7112192921843477e-05, + "loss": 0.8866, + "step": 3200 + }, + { + "epoch": 0.27, + "learning_rate": 1.711026303745289e-05, + "loss": 0.9361, + "step": 3201 + }, + { + "epoch": 0.27, + "learning_rate": 1.7108332617322617e-05, + "loss": 0.9506, + "step": 3202 + }, + { + "epoch": 0.27, + "learning_rate": 1.7106401661598115e-05, + "loss": 0.9961, + "step": 3203 + }, + { + "epoch": 0.27, + "learning_rate": 1.710447017042488e-05, + "loss": 0.9498, + "step": 3204 + }, + { + "epoch": 0.27, + "learning_rate": 1.710253814394843e-05, + "loss": 0.9306, + "step": 3205 + }, + { + "epoch": 0.27, + "learning_rate": 1.7100605582314355e-05, + "loss": 0.8889, + "step": 3206 + }, + { + "epoch": 0.27, + "learning_rate": 1.709867248566826e-05, + "loss": 0.9037, + "step": 3207 + }, + { + "epoch": 0.27, + "learning_rate": 1.70967388541558e-05, + "loss": 0.9474, + "step": 3208 + }, + { + "epoch": 0.27, + "learning_rate": 1.709480468792267e-05, + "loss": 0.9541, + "step": 3209 + }, + { + "epoch": 0.27, + "learning_rate": 1.70928699871146e-05, + "loss": 0.9801, + "step": 3210 + }, + { + "epoch": 0.27, + "learning_rate": 1.709093475187737e-05, + "loss": 0.928, + "step": 3211 + }, + { + "epoch": 0.27, + "learning_rate": 1.7088998982356794e-05, + "loss": 1.0141, + "step": 3212 + }, + { + "epoch": 0.27, + "learning_rate": 1.7087062678698726e-05, + "loss": 0.9586, + "step": 3213 + }, + { + "epoch": 0.27, + "learning_rate": 1.708512584104906e-05, + "loss": 0.9921, + "step": 3214 + }, + { + "epoch": 0.27, + "learning_rate": 1.7083188469553737e-05, + "loss": 1.0003, + "step": 3215 + }, + { + "epoch": 0.27, + "learning_rate": 1.708125056435873e-05, + "loss": 0.9265, + "step": 3216 + }, + { + "epoch": 0.27, + "learning_rate": 1.707931212561005e-05, + "loss": 0.9514, + "step": 3217 + }, + { + "epoch": 0.27, + "learning_rate": 1.707737315345376e-05, + "loss": 0.9446, + "step": 3218 + }, + { + "epoch": 0.27, + "learning_rate": 1.7075433648035952e-05, + "loss": 0.9655, + "step": 3219 + }, + { + "epoch": 0.27, + "learning_rate": 1.7073493609502767e-05, + "loss": 0.9318, + "step": 3220 + }, + { + "epoch": 0.27, + "learning_rate": 1.707155303800038e-05, + "loss": 0.9239, + "step": 3221 + }, + { + "epoch": 0.27, + "learning_rate": 1.7069611933675006e-05, + "loss": 0.9524, + "step": 3222 + }, + { + "epoch": 0.27, + "learning_rate": 1.7067670296672904e-05, + "loss": 0.9387, + "step": 3223 + }, + { + "epoch": 0.27, + "learning_rate": 1.7065728127140365e-05, + "loss": 0.9311, + "step": 3224 + }, + { + "epoch": 0.27, + "learning_rate": 1.706378542522374e-05, + "loss": 0.9758, + "step": 3225 + }, + { + "epoch": 0.27, + "learning_rate": 1.7061842191069398e-05, + "loss": 0.906, + "step": 3226 + }, + { + "epoch": 0.27, + "learning_rate": 1.7059898424823754e-05, + "loss": 0.9708, + "step": 3227 + }, + { + "epoch": 0.27, + "learning_rate": 1.7057954126633268e-05, + "loss": 0.9266, + "step": 3228 + }, + { + "epoch": 0.27, + "learning_rate": 1.7056009296644445e-05, + "loss": 0.9524, + "step": 3229 + }, + { + "epoch": 0.27, + "learning_rate": 1.7054063935003813e-05, + "loss": 0.9794, + "step": 3230 + }, + { + "epoch": 0.27, + "learning_rate": 1.7052118041857954e-05, + "loss": 0.9243, + "step": 3231 + }, + { + "epoch": 0.27, + "learning_rate": 1.7050171617353484e-05, + "loss": 0.9525, + "step": 3232 + }, + { + "epoch": 0.27, + "learning_rate": 1.7048224661637065e-05, + "loss": 0.9402, + "step": 3233 + }, + { + "epoch": 0.27, + "learning_rate": 1.704627717485539e-05, + "loss": 0.9778, + "step": 3234 + }, + { + "epoch": 0.27, + "learning_rate": 1.70443291571552e-05, + "loss": 0.9282, + "step": 3235 + }, + { + "epoch": 0.27, + "learning_rate": 1.7042380608683277e-05, + "loss": 0.922, + "step": 3236 + }, + { + "epoch": 0.27, + "learning_rate": 1.7040431529586427e-05, + "loss": 0.9655, + "step": 3237 + }, + { + "epoch": 0.27, + "learning_rate": 1.703848192001152e-05, + "loss": 0.9551, + "step": 3238 + }, + { + "epoch": 0.27, + "learning_rate": 1.703653178010545e-05, + "loss": 0.9932, + "step": 3239 + }, + { + "epoch": 0.27, + "learning_rate": 1.7034581110015156e-05, + "loss": 0.9085, + "step": 3240 + }, + { + "epoch": 0.27, + "learning_rate": 1.703262990988761e-05, + "loss": 0.944, + "step": 3241 + }, + { + "epoch": 0.27, + "learning_rate": 1.7030678179869834e-05, + "loss": 0.9386, + "step": 3242 + }, + { + "epoch": 0.27, + "learning_rate": 1.702872592010889e-05, + "loss": 0.9179, + "step": 3243 + }, + { + "epoch": 0.27, + "learning_rate": 1.702677313075187e-05, + "loss": 0.9814, + "step": 3244 + }, + { + "epoch": 0.28, + "learning_rate": 1.702481981194591e-05, + "loss": 0.5311, + "step": 3245 + }, + { + "epoch": 0.28, + "learning_rate": 1.7022865963838195e-05, + "loss": 0.9584, + "step": 3246 + }, + { + "epoch": 0.28, + "learning_rate": 1.7020911586575935e-05, + "loss": 0.934, + "step": 3247 + }, + { + "epoch": 0.28, + "learning_rate": 1.7018956680306387e-05, + "loss": 0.9333, + "step": 3248 + }, + { + "epoch": 0.28, + "learning_rate": 1.7017001245176857e-05, + "loss": 1.0009, + "step": 3249 + }, + { + "epoch": 0.28, + "learning_rate": 1.7015045281334677e-05, + "loss": 0.8952, + "step": 3250 + }, + { + "epoch": 0.28, + "learning_rate": 1.7013088788927218e-05, + "loss": 0.943, + "step": 3251 + }, + { + "epoch": 0.28, + "learning_rate": 1.7011131768101906e-05, + "loss": 0.9364, + "step": 3252 + }, + { + "epoch": 0.28, + "learning_rate": 1.7009174219006188e-05, + "loss": 0.9676, + "step": 3253 + }, + { + "epoch": 0.28, + "learning_rate": 1.7007216141787568e-05, + "loss": 0.9797, + "step": 3254 + }, + { + "epoch": 0.28, + "learning_rate": 1.7005257536593577e-05, + "loss": 0.9611, + "step": 3255 + }, + { + "epoch": 0.28, + "learning_rate": 1.7003298403571794e-05, + "loss": 1.0202, + "step": 3256 + }, + { + "epoch": 0.28, + "learning_rate": 1.7001338742869836e-05, + "loss": 0.9194, + "step": 3257 + }, + { + "epoch": 0.28, + "learning_rate": 1.699937855463535e-05, + "loss": 0.9202, + "step": 3258 + }, + { + "epoch": 0.28, + "learning_rate": 1.699741783901604e-05, + "loss": 0.9796, + "step": 3259 + }, + { + "epoch": 0.28, + "learning_rate": 1.6995456596159637e-05, + "loss": 0.9992, + "step": 3260 + }, + { + "epoch": 0.28, + "learning_rate": 1.6993494826213917e-05, + "loss": 0.9464, + "step": 3261 + }, + { + "epoch": 0.28, + "learning_rate": 1.699153252932669e-05, + "loss": 0.895, + "step": 3262 + }, + { + "epoch": 0.28, + "learning_rate": 1.6989569705645817e-05, + "loss": 0.5692, + "step": 3263 + }, + { + "epoch": 0.28, + "learning_rate": 1.6987606355319184e-05, + "loss": 0.9331, + "step": 3264 + }, + { + "epoch": 0.28, + "learning_rate": 1.698564247849473e-05, + "loss": 0.98, + "step": 3265 + }, + { + "epoch": 0.28, + "learning_rate": 1.6983678075320424e-05, + "loss": 0.9772, + "step": 3266 + }, + { + "epoch": 0.28, + "learning_rate": 1.6981713145944284e-05, + "loss": 0.9677, + "step": 3267 + }, + { + "epoch": 0.28, + "learning_rate": 1.6979747690514355e-05, + "loss": 0.9793, + "step": 3268 + }, + { + "epoch": 0.28, + "learning_rate": 1.6977781709178735e-05, + "loss": 0.9557, + "step": 3269 + }, + { + "epoch": 0.28, + "learning_rate": 1.6975815202085556e-05, + "loss": 1.0031, + "step": 3270 + }, + { + "epoch": 0.28, + "learning_rate": 1.697384816938298e-05, + "loss": 0.9703, + "step": 3271 + }, + { + "epoch": 0.28, + "learning_rate": 1.697188061121923e-05, + "loss": 0.9577, + "step": 3272 + }, + { + "epoch": 0.28, + "learning_rate": 1.6969912527742547e-05, + "loss": 0.9665, + "step": 3273 + }, + { + "epoch": 0.28, + "learning_rate": 1.696794391910123e-05, + "loss": 0.9458, + "step": 3274 + }, + { + "epoch": 0.28, + "learning_rate": 1.6965974785443595e-05, + "loss": 0.9654, + "step": 3275 + }, + { + "epoch": 0.28, + "learning_rate": 1.696400512691802e-05, + "loss": 0.9486, + "step": 3276 + }, + { + "epoch": 0.28, + "learning_rate": 1.696203494367292e-05, + "loss": 1.0027, + "step": 3277 + }, + { + "epoch": 0.28, + "learning_rate": 1.696006423585673e-05, + "loss": 0.9808, + "step": 3278 + }, + { + "epoch": 0.28, + "learning_rate": 1.6958093003617942e-05, + "loss": 0.913, + "step": 3279 + }, + { + "epoch": 0.28, + "learning_rate": 1.6956121247105087e-05, + "loss": 0.9649, + "step": 3280 + }, + { + "epoch": 0.28, + "learning_rate": 1.6954148966466733e-05, + "loss": 0.9657, + "step": 3281 + }, + { + "epoch": 0.28, + "learning_rate": 1.695217616185148e-05, + "loss": 0.9328, + "step": 3282 + }, + { + "epoch": 0.28, + "learning_rate": 1.6950202833407976e-05, + "loss": 0.9337, + "step": 3283 + }, + { + "epoch": 0.28, + "learning_rate": 1.6948228981284906e-05, + "loss": 0.9779, + "step": 3284 + }, + { + "epoch": 0.28, + "learning_rate": 1.6946254605630995e-05, + "loss": 0.9908, + "step": 3285 + }, + { + "epoch": 0.28, + "learning_rate": 1.6944279706595005e-05, + "loss": 0.9698, + "step": 3286 + }, + { + "epoch": 0.28, + "learning_rate": 1.6942304284325745e-05, + "loss": 0.9547, + "step": 3287 + }, + { + "epoch": 0.28, + "learning_rate": 1.6940328338972053e-05, + "loss": 0.9206, + "step": 3288 + }, + { + "epoch": 0.28, + "learning_rate": 1.693835187068281e-05, + "loss": 0.9985, + "step": 3289 + }, + { + "epoch": 0.28, + "learning_rate": 1.693637487960694e-05, + "loss": 0.926, + "step": 3290 + }, + { + "epoch": 0.28, + "learning_rate": 1.693439736589341e-05, + "loss": 0.9483, + "step": 3291 + }, + { + "epoch": 0.28, + "learning_rate": 1.693241932969121e-05, + "loss": 0.9721, + "step": 3292 + }, + { + "epoch": 0.28, + "learning_rate": 1.6930440771149386e-05, + "loss": 0.9524, + "step": 3293 + }, + { + "epoch": 0.28, + "learning_rate": 1.692846169041702e-05, + "loss": 0.9578, + "step": 3294 + }, + { + "epoch": 0.28, + "learning_rate": 1.6926482087643223e-05, + "loss": 0.9689, + "step": 3295 + }, + { + "epoch": 0.28, + "learning_rate": 1.692450196297715e-05, + "loss": 0.9384, + "step": 3296 + }, + { + "epoch": 0.28, + "learning_rate": 1.6922521316568014e-05, + "loss": 0.9267, + "step": 3297 + }, + { + "epoch": 0.28, + "learning_rate": 1.6920540148565037e-05, + "loss": 0.9846, + "step": 3298 + }, + { + "epoch": 0.28, + "learning_rate": 1.69185584591175e-05, + "loss": 0.9977, + "step": 3299 + }, + { + "epoch": 0.28, + "learning_rate": 1.691657624837472e-05, + "loss": 0.9506, + "step": 3300 + }, + { + "epoch": 0.28, + "learning_rate": 1.6914593516486047e-05, + "loss": 0.9431, + "step": 3301 + }, + { + "epoch": 0.28, + "learning_rate": 1.691261026360088e-05, + "loss": 0.9294, + "step": 3302 + }, + { + "epoch": 0.28, + "learning_rate": 1.691062648986865e-05, + "loss": 0.6141, + "step": 3303 + }, + { + "epoch": 0.28, + "learning_rate": 1.6908642195438823e-05, + "loss": 0.9784, + "step": 3304 + }, + { + "epoch": 0.28, + "learning_rate": 1.690665738046092e-05, + "loss": 0.9654, + "step": 3305 + }, + { + "epoch": 0.28, + "learning_rate": 1.6904672045084485e-05, + "loss": 0.9313, + "step": 3306 + }, + { + "epoch": 0.28, + "learning_rate": 1.690268618945911e-05, + "loss": 0.9525, + "step": 3307 + }, + { + "epoch": 0.28, + "learning_rate": 1.690069981373442e-05, + "loss": 0.9123, + "step": 3308 + }, + { + "epoch": 0.28, + "learning_rate": 1.6898712918060093e-05, + "loss": 0.9241, + "step": 3309 + }, + { + "epoch": 0.28, + "learning_rate": 1.689672550258583e-05, + "loss": 0.9692, + "step": 3310 + }, + { + "epoch": 0.28, + "learning_rate": 1.6894737567461375e-05, + "loss": 0.9459, + "step": 3311 + }, + { + "epoch": 0.28, + "learning_rate": 1.689274911283652e-05, + "loss": 0.8894, + "step": 3312 + }, + { + "epoch": 0.28, + "learning_rate": 1.6890760138861085e-05, + "loss": 0.9503, + "step": 3313 + }, + { + "epoch": 0.28, + "learning_rate": 1.6888770645684936e-05, + "loss": 0.9334, + "step": 3314 + }, + { + "epoch": 0.28, + "learning_rate": 1.6886780633457975e-05, + "loss": 0.9099, + "step": 3315 + }, + { + "epoch": 0.28, + "learning_rate": 1.6884790102330143e-05, + "loss": 0.9895, + "step": 3316 + }, + { + "epoch": 0.28, + "learning_rate": 1.6882799052451425e-05, + "loss": 0.8826, + "step": 3317 + }, + { + "epoch": 0.28, + "learning_rate": 1.688080748397184e-05, + "loss": 0.9494, + "step": 3318 + }, + { + "epoch": 0.28, + "learning_rate": 1.6878815397041445e-05, + "loss": 0.9651, + "step": 3319 + }, + { + "epoch": 0.28, + "learning_rate": 1.687682279181034e-05, + "loss": 0.997, + "step": 3320 + }, + { + "epoch": 0.28, + "learning_rate": 1.6874829668428667e-05, + "loss": 0.9751, + "step": 3321 + }, + { + "epoch": 0.28, + "learning_rate": 1.6872836027046596e-05, + "loss": 0.9727, + "step": 3322 + }, + { + "epoch": 0.28, + "learning_rate": 1.6870841867814345e-05, + "loss": 0.9548, + "step": 3323 + }, + { + "epoch": 0.28, + "learning_rate": 1.686884719088217e-05, + "loss": 0.9739, + "step": 3324 + }, + { + "epoch": 0.28, + "learning_rate": 1.6866851996400366e-05, + "loss": 0.9434, + "step": 3325 + }, + { + "epoch": 0.28, + "learning_rate": 1.6864856284519263e-05, + "loss": 0.9197, + "step": 3326 + }, + { + "epoch": 0.28, + "learning_rate": 1.686286005538923e-05, + "loss": 0.9578, + "step": 3327 + }, + { + "epoch": 0.28, + "learning_rate": 1.6860863309160682e-05, + "loss": 0.9646, + "step": 3328 + }, + { + "epoch": 0.28, + "learning_rate": 1.6858866045984066e-05, + "loss": 0.9463, + "step": 3329 + }, + { + "epoch": 0.28, + "learning_rate": 1.6856868266009874e-05, + "loss": 0.9525, + "step": 3330 + }, + { + "epoch": 0.28, + "learning_rate": 1.685486996938863e-05, + "loss": 0.9498, + "step": 3331 + }, + { + "epoch": 0.28, + "learning_rate": 1.6852871156270904e-05, + "loss": 0.9847, + "step": 3332 + }, + { + "epoch": 0.28, + "learning_rate": 1.6850871826807297e-05, + "loss": 0.9938, + "step": 3333 + }, + { + "epoch": 0.28, + "learning_rate": 1.6848871981148452e-05, + "loss": 1.0047, + "step": 3334 + }, + { + "epoch": 0.28, + "learning_rate": 1.684687161944506e-05, + "loss": 0.9347, + "step": 3335 + }, + { + "epoch": 0.28, + "learning_rate": 1.684487074184784e-05, + "loss": 0.9558, + "step": 3336 + }, + { + "epoch": 0.28, + "learning_rate": 1.684286934850755e-05, + "loss": 0.9885, + "step": 3337 + }, + { + "epoch": 0.28, + "learning_rate": 1.6840867439574988e-05, + "loss": 0.9805, + "step": 3338 + }, + { + "epoch": 0.28, + "learning_rate": 1.6838865015200995e-05, + "loss": 0.903, + "step": 3339 + }, + { + "epoch": 0.28, + "learning_rate": 1.6836862075536454e-05, + "loss": 0.9502, + "step": 3340 + }, + { + "epoch": 0.28, + "learning_rate": 1.683485862073227e-05, + "loss": 0.963, + "step": 3341 + }, + { + "epoch": 0.28, + "learning_rate": 1.683285465093941e-05, + "loss": 0.8932, + "step": 3342 + }, + { + "epoch": 0.28, + "learning_rate": 1.683085016630886e-05, + "loss": 0.9896, + "step": 3343 + }, + { + "epoch": 0.28, + "learning_rate": 1.6828845166991655e-05, + "loss": 0.874, + "step": 3344 + }, + { + "epoch": 0.28, + "learning_rate": 1.6826839653138872e-05, + "loss": 0.9094, + "step": 3345 + }, + { + "epoch": 0.28, + "learning_rate": 1.682483362490161e-05, + "loss": 0.9645, + "step": 3346 + }, + { + "epoch": 0.28, + "learning_rate": 1.6822827082431022e-05, + "loss": 0.9438, + "step": 3347 + }, + { + "epoch": 0.28, + "learning_rate": 1.6820820025878298e-05, + "loss": 0.9783, + "step": 3348 + }, + { + "epoch": 0.28, + "learning_rate": 1.6818812455394665e-05, + "loss": 0.9322, + "step": 3349 + }, + { + "epoch": 0.28, + "learning_rate": 1.6816804371131388e-05, + "loss": 0.9451, + "step": 3350 + }, + { + "epoch": 0.28, + "learning_rate": 1.6814795773239766e-05, + "loss": 0.9692, + "step": 3351 + }, + { + "epoch": 0.28, + "learning_rate": 1.681278666187115e-05, + "loss": 0.5854, + "step": 3352 + }, + { + "epoch": 0.28, + "learning_rate": 1.6810777037176915e-05, + "loss": 0.9629, + "step": 3353 + }, + { + "epoch": 0.28, + "learning_rate": 1.680876689930848e-05, + "loss": 0.6012, + "step": 3354 + }, + { + "epoch": 0.28, + "learning_rate": 1.6806756248417307e-05, + "loss": 0.9133, + "step": 3355 + }, + { + "epoch": 0.28, + "learning_rate": 1.68047450846549e-05, + "loss": 0.9846, + "step": 3356 + }, + { + "epoch": 0.28, + "learning_rate": 1.680273340817278e-05, + "loss": 0.9346, + "step": 3357 + }, + { + "epoch": 0.28, + "learning_rate": 1.680072121912253e-05, + "loss": 0.9535, + "step": 3358 + }, + { + "epoch": 0.28, + "learning_rate": 1.679870851765576e-05, + "loss": 0.9453, + "step": 3359 + }, + { + "epoch": 0.28, + "learning_rate": 1.679669530392413e-05, + "loss": 0.9575, + "step": 3360 + }, + { + "epoch": 0.28, + "learning_rate": 1.679468157807932e-05, + "loss": 0.9908, + "step": 3361 + }, + { + "epoch": 0.28, + "learning_rate": 1.6792667340273063e-05, + "loss": 0.9051, + "step": 3362 + }, + { + "epoch": 0.29, + "learning_rate": 1.6790652590657125e-05, + "loss": 0.9204, + "step": 3363 + }, + { + "epoch": 0.29, + "learning_rate": 1.678863732938332e-05, + "loss": 0.9773, + "step": 3364 + }, + { + "epoch": 0.29, + "learning_rate": 1.678662155660348e-05, + "loss": 0.96, + "step": 3365 + }, + { + "epoch": 0.29, + "learning_rate": 1.6784605272469502e-05, + "loss": 0.956, + "step": 3366 + }, + { + "epoch": 0.29, + "learning_rate": 1.6782588477133295e-05, + "loss": 0.9504, + "step": 3367 + }, + { + "epoch": 0.29, + "learning_rate": 1.6780571170746823e-05, + "loss": 0.6512, + "step": 3368 + }, + { + "epoch": 0.29, + "learning_rate": 1.6778553353462092e-05, + "loss": 0.9643, + "step": 3369 + }, + { + "epoch": 0.29, + "learning_rate": 1.677653502543113e-05, + "loss": 0.9568, + "step": 3370 + }, + { + "epoch": 0.29, + "learning_rate": 1.677451618680602e-05, + "loss": 0.9521, + "step": 3371 + }, + { + "epoch": 0.29, + "learning_rate": 1.6772496837738866e-05, + "loss": 0.9557, + "step": 3372 + }, + { + "epoch": 0.29, + "learning_rate": 1.6770476978381834e-05, + "loss": 1.0073, + "step": 3373 + }, + { + "epoch": 0.29, + "learning_rate": 1.6768456608887103e-05, + "loss": 0.9659, + "step": 3374 + }, + { + "epoch": 0.29, + "learning_rate": 1.6766435729406913e-05, + "loss": 0.9967, + "step": 3375 + }, + { + "epoch": 0.29, + "learning_rate": 1.6764414340093527e-05, + "loss": 0.9826, + "step": 3376 + }, + { + "epoch": 0.29, + "learning_rate": 1.6762392441099247e-05, + "loss": 0.9503, + "step": 3377 + }, + { + "epoch": 0.29, + "learning_rate": 1.6760370032576424e-05, + "loss": 0.9643, + "step": 3378 + }, + { + "epoch": 0.29, + "learning_rate": 1.675834711467744e-05, + "loss": 0.5794, + "step": 3379 + }, + { + "epoch": 0.29, + "learning_rate": 1.6756323687554713e-05, + "loss": 0.9006, + "step": 3380 + }, + { + "epoch": 0.29, + "learning_rate": 1.675429975136071e-05, + "loss": 0.8941, + "step": 3381 + }, + { + "epoch": 0.29, + "learning_rate": 1.6752275306247924e-05, + "loss": 0.944, + "step": 3382 + }, + { + "epoch": 0.29, + "learning_rate": 1.6750250352368892e-05, + "loss": 0.9742, + "step": 3383 + }, + { + "epoch": 0.29, + "learning_rate": 1.6748224889876188e-05, + "loss": 0.9355, + "step": 3384 + }, + { + "epoch": 0.29, + "learning_rate": 1.6746198918922426e-05, + "loss": 0.9946, + "step": 3385 + }, + { + "epoch": 0.29, + "learning_rate": 1.6744172439660262e-05, + "loss": 0.8944, + "step": 3386 + }, + { + "epoch": 0.29, + "learning_rate": 1.6742145452242383e-05, + "loss": 1.0072, + "step": 3387 + }, + { + "epoch": 0.29, + "learning_rate": 1.6740117956821515e-05, + "loss": 0.9296, + "step": 3388 + }, + { + "epoch": 0.29, + "learning_rate": 1.673808995355043e-05, + "loss": 0.9561, + "step": 3389 + }, + { + "epoch": 0.29, + "learning_rate": 1.6736061442581922e-05, + "loss": 0.9327, + "step": 3390 + }, + { + "epoch": 0.29, + "learning_rate": 1.673403242406884e-05, + "loss": 0.576, + "step": 3391 + }, + { + "epoch": 0.29, + "learning_rate": 1.673200289816407e-05, + "loss": 0.9451, + "step": 3392 + }, + { + "epoch": 0.29, + "learning_rate": 1.672997286502053e-05, + "loss": 0.9755, + "step": 3393 + }, + { + "epoch": 0.29, + "learning_rate": 1.672794232479117e-05, + "loss": 0.9552, + "step": 3394 + }, + { + "epoch": 0.29, + "learning_rate": 1.6725911277628996e-05, + "loss": 0.9649, + "step": 3395 + }, + { + "epoch": 0.29, + "learning_rate": 1.672387972368703e-05, + "loss": 0.9597, + "step": 3396 + }, + { + "epoch": 0.29, + "learning_rate": 1.672184766311836e-05, + "loss": 0.9669, + "step": 3397 + }, + { + "epoch": 0.29, + "learning_rate": 1.6719815096076084e-05, + "loss": 0.8714, + "step": 3398 + }, + { + "epoch": 0.29, + "learning_rate": 1.6717782022713353e-05, + "loss": 0.5044, + "step": 3399 + }, + { + "epoch": 0.29, + "learning_rate": 1.6715748443183353e-05, + "loss": 0.9204, + "step": 3400 + }, + { + "epoch": 0.29, + "learning_rate": 1.6713714357639317e-05, + "loss": 0.9573, + "step": 3401 + }, + { + "epoch": 0.29, + "learning_rate": 1.67116797662345e-05, + "loss": 0.9195, + "step": 3402 + }, + { + "epoch": 0.29, + "learning_rate": 1.6709644669122205e-05, + "loss": 0.8877, + "step": 3403 + }, + { + "epoch": 0.29, + "learning_rate": 1.670760906645577e-05, + "loss": 0.921, + "step": 3404 + }, + { + "epoch": 0.29, + "learning_rate": 1.6705572958388576e-05, + "loss": 0.9729, + "step": 3405 + }, + { + "epoch": 0.29, + "learning_rate": 1.6703536345074035e-05, + "loss": 0.995, + "step": 3406 + }, + { + "epoch": 0.29, + "learning_rate": 1.67014992266656e-05, + "loss": 0.9684, + "step": 3407 + }, + { + "epoch": 0.29, + "learning_rate": 1.6699461603316765e-05, + "loss": 0.9371, + "step": 3408 + }, + { + "epoch": 0.29, + "learning_rate": 1.6697423475181062e-05, + "loss": 0.9581, + "step": 3409 + }, + { + "epoch": 0.29, + "learning_rate": 1.6695384842412053e-05, + "loss": 0.962, + "step": 3410 + }, + { + "epoch": 0.29, + "learning_rate": 1.6693345705163343e-05, + "loss": 0.9411, + "step": 3411 + }, + { + "epoch": 0.29, + "learning_rate": 1.6691306063588583e-05, + "loss": 0.8685, + "step": 3412 + }, + { + "epoch": 0.29, + "learning_rate": 1.668926591784145e-05, + "loss": 0.6467, + "step": 3413 + }, + { + "epoch": 0.29, + "learning_rate": 1.6687225268075665e-05, + "loss": 0.8935, + "step": 3414 + }, + { + "epoch": 0.29, + "learning_rate": 1.668518411444498e-05, + "loss": 0.9574, + "step": 3415 + }, + { + "epoch": 0.29, + "learning_rate": 1.6683142457103198e-05, + "loss": 0.975, + "step": 3416 + }, + { + "epoch": 0.29, + "learning_rate": 1.668110029620415e-05, + "loss": 0.924, + "step": 3417 + }, + { + "epoch": 0.29, + "learning_rate": 1.6679057631901707e-05, + "loss": 0.9121, + "step": 3418 + }, + { + "epoch": 0.29, + "learning_rate": 1.6677014464349775e-05, + "loss": 0.9525, + "step": 3419 + }, + { + "epoch": 0.29, + "learning_rate": 1.667497079370231e-05, + "loss": 0.9307, + "step": 3420 + }, + { + "epoch": 0.29, + "learning_rate": 1.6672926620113287e-05, + "loss": 0.9424, + "step": 3421 + }, + { + "epoch": 0.29, + "learning_rate": 1.667088194373674e-05, + "loss": 0.9163, + "step": 3422 + }, + { + "epoch": 0.29, + "learning_rate": 1.666883676472672e-05, + "loss": 0.9577, + "step": 3423 + }, + { + "epoch": 0.29, + "learning_rate": 1.666679108323733e-05, + "loss": 0.9074, + "step": 3424 + }, + { + "epoch": 0.29, + "learning_rate": 1.6664744899422708e-05, + "loss": 0.9725, + "step": 3425 + }, + { + "epoch": 0.29, + "learning_rate": 1.666269821343703e-05, + "loss": 0.9096, + "step": 3426 + }, + { + "epoch": 0.29, + "learning_rate": 1.66606510254345e-05, + "loss": 0.9942, + "step": 3427 + }, + { + "epoch": 0.29, + "learning_rate": 1.665860333556938e-05, + "loss": 0.9251, + "step": 3428 + }, + { + "epoch": 0.29, + "learning_rate": 1.6656555143995946e-05, + "loss": 0.975, + "step": 3429 + }, + { + "epoch": 0.29, + "learning_rate": 1.6654506450868537e-05, + "loss": 0.9384, + "step": 3430 + }, + { + "epoch": 0.29, + "learning_rate": 1.6652457256341504e-05, + "loss": 0.9323, + "step": 3431 + }, + { + "epoch": 0.29, + "learning_rate": 1.665040756056926e-05, + "loss": 0.9658, + "step": 3432 + }, + { + "epoch": 0.29, + "learning_rate": 1.664835736370623e-05, + "loss": 0.9537, + "step": 3433 + }, + { + "epoch": 0.29, + "learning_rate": 1.6646306665906905e-05, + "loss": 0.9751, + "step": 3434 + }, + { + "epoch": 0.29, + "learning_rate": 1.6644255467325793e-05, + "loss": 0.5604, + "step": 3435 + }, + { + "epoch": 0.29, + "learning_rate": 1.6642203768117445e-05, + "loss": 0.9818, + "step": 3436 + }, + { + "epoch": 0.29, + "learning_rate": 1.6640151568436458e-05, + "loss": 0.9626, + "step": 3437 + }, + { + "epoch": 0.29, + "learning_rate": 1.6638098868437453e-05, + "loss": 0.957, + "step": 3438 + }, + { + "epoch": 0.29, + "learning_rate": 1.6636045668275098e-05, + "loss": 0.9639, + "step": 3439 + }, + { + "epoch": 0.29, + "learning_rate": 1.6633991968104095e-05, + "loss": 0.9631, + "step": 3440 + }, + { + "epoch": 0.29, + "learning_rate": 1.663193776807919e-05, + "loss": 1.0232, + "step": 3441 + }, + { + "epoch": 0.29, + "learning_rate": 1.6629883068355154e-05, + "loss": 0.9459, + "step": 3442 + }, + { + "epoch": 0.29, + "learning_rate": 1.6627827869086806e-05, + "loss": 0.9723, + "step": 3443 + }, + { + "epoch": 0.29, + "learning_rate": 1.6625772170429005e-05, + "loss": 0.953, + "step": 3444 + }, + { + "epoch": 0.29, + "learning_rate": 1.662371597253664e-05, + "loss": 0.9497, + "step": 3445 + }, + { + "epoch": 0.29, + "learning_rate": 1.662165927556463e-05, + "loss": 0.9209, + "step": 3446 + }, + { + "epoch": 0.29, + "learning_rate": 1.6619602079667956e-05, + "loss": 0.9661, + "step": 3447 + }, + { + "epoch": 0.29, + "learning_rate": 1.6617544385001616e-05, + "loss": 0.9558, + "step": 3448 + }, + { + "epoch": 0.29, + "learning_rate": 1.661548619172065e-05, + "loss": 0.5252, + "step": 3449 + }, + { + "epoch": 0.29, + "learning_rate": 1.6613427499980143e-05, + "loss": 0.9706, + "step": 3450 + }, + { + "epoch": 0.29, + "learning_rate": 1.661136830993521e-05, + "loss": 0.9493, + "step": 3451 + }, + { + "epoch": 0.29, + "learning_rate": 1.6609308621741003e-05, + "loss": 0.8977, + "step": 3452 + }, + { + "epoch": 0.29, + "learning_rate": 1.6607248435552714e-05, + "loss": 0.9795, + "step": 3453 + }, + { + "epoch": 0.29, + "learning_rate": 1.6605187751525577e-05, + "loss": 0.9628, + "step": 3454 + }, + { + "epoch": 0.29, + "learning_rate": 1.6603126569814854e-05, + "loss": 0.9401, + "step": 3455 + }, + { + "epoch": 0.29, + "learning_rate": 1.6601064890575852e-05, + "loss": 0.9429, + "step": 3456 + }, + { + "epoch": 0.29, + "learning_rate": 1.6599002713963916e-05, + "loss": 0.9269, + "step": 3457 + }, + { + "epoch": 0.29, + "learning_rate": 1.6596940040134416e-05, + "loss": 0.9501, + "step": 3458 + }, + { + "epoch": 0.29, + "learning_rate": 1.6594876869242785e-05, + "loss": 0.9256, + "step": 3459 + }, + { + "epoch": 0.29, + "learning_rate": 1.6592813201444462e-05, + "loss": 0.9761, + "step": 3460 + }, + { + "epoch": 0.29, + "learning_rate": 1.659074903689495e-05, + "loss": 0.9267, + "step": 3461 + }, + { + "epoch": 0.29, + "learning_rate": 1.6588684375749767e-05, + "loss": 0.9076, + "step": 3462 + }, + { + "epoch": 0.29, + "learning_rate": 1.658661921816449e-05, + "loss": 0.5478, + "step": 3463 + }, + { + "epoch": 0.29, + "learning_rate": 1.658455356429472e-05, + "loss": 0.9618, + "step": 3464 + }, + { + "epoch": 0.29, + "learning_rate": 1.6582487414296097e-05, + "loss": 0.942, + "step": 3465 + }, + { + "epoch": 0.29, + "learning_rate": 1.6580420768324304e-05, + "loss": 0.9671, + "step": 3466 + }, + { + "epoch": 0.29, + "learning_rate": 1.6578353626535057e-05, + "loss": 0.9233, + "step": 3467 + }, + { + "epoch": 0.29, + "learning_rate": 1.65762859890841e-05, + "loss": 0.9355, + "step": 3468 + }, + { + "epoch": 0.29, + "learning_rate": 1.6574217856127236e-05, + "loss": 0.9336, + "step": 3469 + }, + { + "epoch": 0.29, + "learning_rate": 1.6572149227820286e-05, + "loss": 0.9468, + "step": 3470 + }, + { + "epoch": 0.29, + "learning_rate": 1.6570080104319122e-05, + "loss": 0.9372, + "step": 3471 + }, + { + "epoch": 0.29, + "learning_rate": 1.656801048577964e-05, + "loss": 0.9842, + "step": 3472 + }, + { + "epoch": 0.29, + "learning_rate": 1.6565940372357787e-05, + "loss": 0.9597, + "step": 3473 + }, + { + "epoch": 0.29, + "learning_rate": 1.6563869764209538e-05, + "loss": 0.9419, + "step": 3474 + }, + { + "epoch": 0.29, + "learning_rate": 1.6561798661490904e-05, + "loss": 0.966, + "step": 3475 + }, + { + "epoch": 0.29, + "learning_rate": 1.6559727064357943e-05, + "loss": 0.906, + "step": 3476 + }, + { + "epoch": 0.29, + "learning_rate": 1.6557654972966743e-05, + "loss": 0.9492, + "step": 3477 + }, + { + "epoch": 0.29, + "learning_rate": 1.6555582387473425e-05, + "loss": 0.9422, + "step": 3478 + }, + { + "epoch": 0.29, + "learning_rate": 1.655350930803416e-05, + "loss": 0.9112, + "step": 3479 + }, + { + "epoch": 0.29, + "learning_rate": 1.655143573480515e-05, + "loss": 0.9496, + "step": 3480 + }, + { + "epoch": 0.3, + "learning_rate": 1.6549361667942628e-05, + "loss": 0.5709, + "step": 3481 + }, + { + "epoch": 0.3, + "learning_rate": 1.654728710760287e-05, + "loss": 1.0079, + "step": 3482 + }, + { + "epoch": 0.3, + "learning_rate": 1.654521205394219e-05, + "loss": 0.9639, + "step": 3483 + }, + { + "epoch": 0.3, + "learning_rate": 1.6543136507116938e-05, + "loss": 0.965, + "step": 3484 + }, + { + "epoch": 0.3, + "learning_rate": 1.6541060467283503e-05, + "loss": 0.9313, + "step": 3485 + }, + { + "epoch": 0.3, + "learning_rate": 1.6538983934598304e-05, + "loss": 0.9713, + "step": 3486 + }, + { + "epoch": 0.3, + "learning_rate": 1.653690690921781e-05, + "loss": 0.9383, + "step": 3487 + }, + { + "epoch": 0.3, + "learning_rate": 1.653482939129851e-05, + "loss": 0.5449, + "step": 3488 + }, + { + "epoch": 0.3, + "learning_rate": 1.653275138099695e-05, + "loss": 0.9593, + "step": 3489 + }, + { + "epoch": 0.3, + "learning_rate": 1.653067287846969e-05, + "loss": 0.939, + "step": 3490 + }, + { + "epoch": 0.3, + "learning_rate": 1.652859388387335e-05, + "loss": 0.9387, + "step": 3491 + }, + { + "epoch": 0.3, + "learning_rate": 1.6526514397364575e-05, + "loss": 0.9324, + "step": 3492 + }, + { + "epoch": 0.3, + "learning_rate": 1.6524434419100047e-05, + "loss": 0.5047, + "step": 3493 + }, + { + "epoch": 0.3, + "learning_rate": 1.6522353949236486e-05, + "loss": 0.9758, + "step": 3494 + }, + { + "epoch": 0.3, + "learning_rate": 1.6520272987930652e-05, + "loss": 0.9543, + "step": 3495 + }, + { + "epoch": 0.3, + "learning_rate": 1.651819153533934e-05, + "loss": 0.5361, + "step": 3496 + }, + { + "epoch": 0.3, + "learning_rate": 1.651610959161938e-05, + "loss": 0.9281, + "step": 3497 + }, + { + "epoch": 0.3, + "learning_rate": 1.6514027156927645e-05, + "loss": 0.9766, + "step": 3498 + }, + { + "epoch": 0.3, + "learning_rate": 1.651194423142103e-05, + "loss": 0.9482, + "step": 3499 + }, + { + "epoch": 0.3, + "learning_rate": 1.6509860815256496e-05, + "loss": 0.9247, + "step": 3500 + }, + { + "epoch": 0.3, + "learning_rate": 1.6507776908591008e-05, + "loss": 1.014, + "step": 3501 + }, + { + "epoch": 0.3, + "learning_rate": 1.650569251158159e-05, + "loss": 0.9662, + "step": 3502 + }, + { + "epoch": 0.3, + "learning_rate": 1.6503607624385294e-05, + "loss": 0.9587, + "step": 3503 + }, + { + "epoch": 0.3, + "learning_rate": 1.650152224715921e-05, + "loss": 0.6013, + "step": 3504 + }, + { + "epoch": 0.3, + "learning_rate": 1.6499436380060466e-05, + "loss": 0.9368, + "step": 3505 + }, + { + "epoch": 0.3, + "learning_rate": 1.6497350023246225e-05, + "loss": 0.569, + "step": 3506 + }, + { + "epoch": 0.3, + "learning_rate": 1.6495263176873693e-05, + "loss": 0.9484, + "step": 3507 + }, + { + "epoch": 0.3, + "learning_rate": 1.6493175841100106e-05, + "loss": 0.535, + "step": 3508 + }, + { + "epoch": 0.3, + "learning_rate": 1.649108801608274e-05, + "loss": 0.9309, + "step": 3509 + }, + { + "epoch": 0.3, + "learning_rate": 1.6488999701978905e-05, + "loss": 0.9751, + "step": 3510 + }, + { + "epoch": 0.3, + "learning_rate": 1.648691089894595e-05, + "loss": 0.5851, + "step": 3511 + }, + { + "epoch": 0.3, + "learning_rate": 1.6484821607141266e-05, + "loss": 0.9511, + "step": 3512 + }, + { + "epoch": 0.3, + "learning_rate": 1.6482731826722268e-05, + "loss": 0.9341, + "step": 3513 + }, + { + "epoch": 0.3, + "learning_rate": 1.6480641557846424e-05, + "loss": 0.5619, + "step": 3514 + }, + { + "epoch": 0.3, + "learning_rate": 1.6478550800671224e-05, + "loss": 0.948, + "step": 3515 + }, + { + "epoch": 0.3, + "learning_rate": 1.64764595553542e-05, + "loss": 0.9315, + "step": 3516 + }, + { + "epoch": 0.3, + "learning_rate": 1.6474367822052925e-05, + "loss": 0.9594, + "step": 3517 + }, + { + "epoch": 0.3, + "learning_rate": 1.6472275600925003e-05, + "loss": 0.9513, + "step": 3518 + }, + { + "epoch": 0.3, + "learning_rate": 1.6470182892128085e-05, + "loss": 0.945, + "step": 3519 + }, + { + "epoch": 0.3, + "learning_rate": 1.6468089695819845e-05, + "loss": 0.9527, + "step": 3520 + }, + { + "epoch": 0.3, + "learning_rate": 1.6465996012157996e-05, + "loss": 0.5645, + "step": 3521 + }, + { + "epoch": 0.3, + "learning_rate": 1.64639018413003e-05, + "loss": 0.9254, + "step": 3522 + }, + { + "epoch": 0.3, + "learning_rate": 1.6461807183404545e-05, + "loss": 0.9486, + "step": 3523 + }, + { + "epoch": 0.3, + "learning_rate": 1.6459712038628552e-05, + "loss": 0.9381, + "step": 3524 + }, + { + "epoch": 0.3, + "learning_rate": 1.645761640713019e-05, + "loss": 0.9069, + "step": 3525 + }, + { + "epoch": 0.3, + "learning_rate": 1.645552028906736e-05, + "loss": 0.9812, + "step": 3526 + }, + { + "epoch": 0.3, + "learning_rate": 1.6453423684597995e-05, + "loss": 0.9248, + "step": 3527 + }, + { + "epoch": 0.3, + "learning_rate": 1.6451326593880072e-05, + "loss": 0.9629, + "step": 3528 + }, + { + "epoch": 0.3, + "learning_rate": 1.6449229017071604e-05, + "loss": 0.8896, + "step": 3529 + }, + { + "epoch": 0.3, + "learning_rate": 1.644713095433063e-05, + "loss": 0.9264, + "step": 3530 + }, + { + "epoch": 0.3, + "learning_rate": 1.644503240581524e-05, + "loss": 0.8984, + "step": 3531 + }, + { + "epoch": 0.3, + "learning_rate": 1.6442933371683548e-05, + "loss": 0.9053, + "step": 3532 + }, + { + "epoch": 0.3, + "learning_rate": 1.644083385209372e-05, + "loss": 0.9373, + "step": 3533 + }, + { + "epoch": 0.3, + "learning_rate": 1.643873384720394e-05, + "loss": 0.9522, + "step": 3534 + }, + { + "epoch": 0.3, + "learning_rate": 1.6436633357172443e-05, + "loss": 0.9394, + "step": 3535 + }, + { + "epoch": 0.3, + "learning_rate": 1.6434532382157495e-05, + "loss": 0.518, + "step": 3536 + }, + { + "epoch": 0.3, + "learning_rate": 1.6432430922317396e-05, + "loss": 0.9181, + "step": 3537 + }, + { + "epoch": 0.3, + "learning_rate": 1.643032897781049e-05, + "loss": 0.9673, + "step": 3538 + }, + { + "epoch": 0.3, + "learning_rate": 1.642822654879515e-05, + "loss": 0.9523, + "step": 3539 + }, + { + "epoch": 0.3, + "learning_rate": 1.6426123635429787e-05, + "loss": 0.9708, + "step": 3540 + }, + { + "epoch": 0.3, + "learning_rate": 1.6424020237872854e-05, + "loss": 0.9303, + "step": 3541 + }, + { + "epoch": 0.3, + "learning_rate": 1.6421916356282834e-05, + "loss": 0.962, + "step": 3542 + }, + { + "epoch": 0.3, + "learning_rate": 1.6419811990818252e-05, + "loss": 0.976, + "step": 3543 + }, + { + "epoch": 0.3, + "learning_rate": 1.641770714163766e-05, + "loss": 0.9236, + "step": 3544 + }, + { + "epoch": 0.3, + "learning_rate": 1.6415601808899658e-05, + "loss": 0.941, + "step": 3545 + }, + { + "epoch": 0.3, + "learning_rate": 1.641349599276288e-05, + "loss": 0.9752, + "step": 3546 + }, + { + "epoch": 0.3, + "learning_rate": 1.6411389693385985e-05, + "loss": 0.9436, + "step": 3547 + }, + { + "epoch": 0.3, + "learning_rate": 1.6409282910927685e-05, + "loss": 0.9786, + "step": 3548 + }, + { + "epoch": 0.3, + "learning_rate": 1.640717564554672e-05, + "loss": 0.9841, + "step": 3549 + }, + { + "epoch": 0.3, + "learning_rate": 1.640506789740186e-05, + "loss": 0.9829, + "step": 3550 + }, + { + "epoch": 0.3, + "learning_rate": 1.6402959666651924e-05, + "loss": 0.9946, + "step": 3551 + }, + { + "epoch": 0.3, + "learning_rate": 1.640085095345576e-05, + "loss": 0.9606, + "step": 3552 + }, + { + "epoch": 0.3, + "learning_rate": 1.6398741757972256e-05, + "loss": 0.607, + "step": 3553 + }, + { + "epoch": 0.3, + "learning_rate": 1.6396632080360332e-05, + "loss": 0.9241, + "step": 3554 + }, + { + "epoch": 0.3, + "learning_rate": 1.639452192077895e-05, + "loss": 0.9223, + "step": 3555 + }, + { + "epoch": 0.3, + "learning_rate": 1.6392411279387098e-05, + "loss": 0.9375, + "step": 3556 + }, + { + "epoch": 0.3, + "learning_rate": 1.6390300156343815e-05, + "loss": 0.932, + "step": 3557 + }, + { + "epoch": 0.3, + "learning_rate": 1.6388188551808166e-05, + "loss": 0.9561, + "step": 3558 + }, + { + "epoch": 0.3, + "learning_rate": 1.638607646593925e-05, + "loss": 0.9467, + "step": 3559 + }, + { + "epoch": 0.3, + "learning_rate": 1.6383963898896215e-05, + "loss": 0.9846, + "step": 3560 + }, + { + "epoch": 0.3, + "learning_rate": 1.6381850850838232e-05, + "loss": 0.9823, + "step": 3561 + }, + { + "epoch": 0.3, + "learning_rate": 1.6379737321924517e-05, + "loss": 0.5746, + "step": 3562 + }, + { + "epoch": 0.3, + "learning_rate": 1.6377623312314316e-05, + "loss": 0.8895, + "step": 3563 + }, + { + "epoch": 0.3, + "learning_rate": 1.6375508822166917e-05, + "loss": 0.9811, + "step": 3564 + }, + { + "epoch": 0.3, + "learning_rate": 1.6373393851641642e-05, + "loss": 0.9638, + "step": 3565 + }, + { + "epoch": 0.3, + "learning_rate": 1.637127840089784e-05, + "loss": 0.8837, + "step": 3566 + }, + { + "epoch": 0.3, + "learning_rate": 1.6369162470094915e-05, + "loss": 0.9354, + "step": 3567 + }, + { + "epoch": 0.3, + "learning_rate": 1.636704605939229e-05, + "loss": 0.9395, + "step": 3568 + }, + { + "epoch": 0.3, + "learning_rate": 1.6364929168949438e-05, + "loss": 0.9443, + "step": 3569 + }, + { + "epoch": 0.3, + "learning_rate": 1.6362811798925852e-05, + "loss": 0.9236, + "step": 3570 + }, + { + "epoch": 0.3, + "learning_rate": 1.6360693949481076e-05, + "loss": 0.9906, + "step": 3571 + }, + { + "epoch": 0.3, + "learning_rate": 1.6358575620774687e-05, + "loss": 0.9265, + "step": 3572 + }, + { + "epoch": 0.3, + "learning_rate": 1.635645681296629e-05, + "loss": 0.8894, + "step": 3573 + }, + { + "epoch": 0.3, + "learning_rate": 1.635433752621553e-05, + "loss": 0.911, + "step": 3574 + }, + { + "epoch": 0.3, + "learning_rate": 1.6352217760682098e-05, + "loss": 0.5583, + "step": 3575 + }, + { + "epoch": 0.3, + "learning_rate": 1.6350097516525705e-05, + "loss": 0.9211, + "step": 3576 + }, + { + "epoch": 0.3, + "learning_rate": 1.6347976793906113e-05, + "loss": 0.886, + "step": 3577 + }, + { + "epoch": 0.3, + "learning_rate": 1.6345855592983107e-05, + "loss": 0.9596, + "step": 3578 + }, + { + "epoch": 0.3, + "learning_rate": 1.6343733913916516e-05, + "loss": 0.9482, + "step": 3579 + }, + { + "epoch": 0.3, + "learning_rate": 1.63416117568662e-05, + "loss": 0.9228, + "step": 3580 + }, + { + "epoch": 0.3, + "learning_rate": 1.6339489121992062e-05, + "loss": 0.9504, + "step": 3581 + }, + { + "epoch": 0.3, + "learning_rate": 1.6337366009454037e-05, + "loss": 0.8931, + "step": 3582 + }, + { + "epoch": 0.3, + "learning_rate": 1.6335242419412095e-05, + "loss": 0.9792, + "step": 3583 + }, + { + "epoch": 0.3, + "learning_rate": 1.633311835202624e-05, + "loss": 0.9346, + "step": 3584 + }, + { + "epoch": 0.3, + "learning_rate": 1.633099380745652e-05, + "loss": 0.9257, + "step": 3585 + }, + { + "epoch": 0.3, + "learning_rate": 1.632886878586301e-05, + "loss": 0.9443, + "step": 3586 + }, + { + "epoch": 0.3, + "learning_rate": 1.6326743287405826e-05, + "loss": 0.9132, + "step": 3587 + }, + { + "epoch": 0.3, + "learning_rate": 1.6324617312245123e-05, + "loss": 0.8624, + "step": 3588 + }, + { + "epoch": 0.3, + "learning_rate": 1.6322490860541077e-05, + "loss": 0.9151, + "step": 3589 + }, + { + "epoch": 0.3, + "learning_rate": 1.6320363932453922e-05, + "loss": 0.9468, + "step": 3590 + }, + { + "epoch": 0.3, + "learning_rate": 1.631823652814391e-05, + "loss": 0.95, + "step": 3591 + }, + { + "epoch": 0.3, + "learning_rate": 1.6316108647771333e-05, + "loss": 0.9663, + "step": 3592 + }, + { + "epoch": 0.3, + "learning_rate": 1.6313980291496528e-05, + "loss": 0.9793, + "step": 3593 + }, + { + "epoch": 0.3, + "learning_rate": 1.631185145947986e-05, + "loss": 0.9, + "step": 3594 + }, + { + "epoch": 0.3, + "learning_rate": 1.630972215188173e-05, + "loss": 0.9505, + "step": 3595 + }, + { + "epoch": 0.3, + "learning_rate": 1.630759236886257e-05, + "loss": 0.8901, + "step": 3596 + }, + { + "epoch": 0.3, + "learning_rate": 1.6305462110582863e-05, + "loss": 0.9618, + "step": 3597 + }, + { + "epoch": 0.3, + "learning_rate": 1.6303331377203113e-05, + "loss": 0.6113, + "step": 3598 + }, + { + "epoch": 0.31, + "learning_rate": 1.6301200168883868e-05, + "loss": 0.9937, + "step": 3599 + }, + { + "epoch": 0.31, + "learning_rate": 1.62990684857857e-05, + "loss": 0.9388, + "step": 3600 + }, + { + "epoch": 0.31, + "learning_rate": 1.629693632806924e-05, + "loss": 0.947, + "step": 3601 + }, + { + "epoch": 0.31, + "learning_rate": 1.6294803695895127e-05, + "loss": 0.9678, + "step": 3602 + }, + { + "epoch": 0.31, + "learning_rate": 1.6292670589424057e-05, + "loss": 0.9451, + "step": 3603 + }, + { + "epoch": 0.31, + "learning_rate": 1.6290537008816753e-05, + "loss": 0.9271, + "step": 3604 + }, + { + "epoch": 0.31, + "learning_rate": 1.6288402954233976e-05, + "loss": 0.884, + "step": 3605 + }, + { + "epoch": 0.31, + "learning_rate": 1.6286268425836517e-05, + "loss": 0.9263, + "step": 3606 + }, + { + "epoch": 0.31, + "learning_rate": 1.6284133423785213e-05, + "loss": 0.5868, + "step": 3607 + }, + { + "epoch": 0.31, + "learning_rate": 1.6281997948240926e-05, + "loss": 0.9224, + "step": 3608 + }, + { + "epoch": 0.31, + "learning_rate": 1.627986199936456e-05, + "loss": 0.91, + "step": 3609 + }, + { + "epoch": 0.31, + "learning_rate": 1.627772557731705e-05, + "loss": 0.9708, + "step": 3610 + }, + { + "epoch": 0.31, + "learning_rate": 1.6275588682259375e-05, + "loss": 0.9304, + "step": 3611 + }, + { + "epoch": 0.31, + "learning_rate": 1.627345131435254e-05, + "loss": 0.9545, + "step": 3612 + }, + { + "epoch": 0.31, + "learning_rate": 1.6271313473757596e-05, + "loss": 0.9997, + "step": 3613 + }, + { + "epoch": 0.31, + "learning_rate": 1.626917516063562e-05, + "loss": 0.9458, + "step": 3614 + }, + { + "epoch": 0.31, + "learning_rate": 1.6267036375147728e-05, + "loss": 0.9509, + "step": 3615 + }, + { + "epoch": 0.31, + "learning_rate": 1.626489711745507e-05, + "loss": 0.8921, + "step": 3616 + }, + { + "epoch": 0.31, + "learning_rate": 1.6262757387718834e-05, + "loss": 0.9294, + "step": 3617 + }, + { + "epoch": 0.31, + "learning_rate": 1.626061718610025e-05, + "loss": 0.9633, + "step": 3618 + }, + { + "epoch": 0.31, + "learning_rate": 1.625847651276057e-05, + "loss": 0.9369, + "step": 3619 + }, + { + "epoch": 0.31, + "learning_rate": 1.6256335367861088e-05, + "loss": 0.9354, + "step": 3620 + }, + { + "epoch": 0.31, + "learning_rate": 1.6254193751563137e-05, + "loss": 1.0018, + "step": 3621 + }, + { + "epoch": 0.31, + "learning_rate": 1.6252051664028076e-05, + "loss": 0.9209, + "step": 3622 + }, + { + "epoch": 0.31, + "learning_rate": 1.6249909105417316e-05, + "loss": 0.9582, + "step": 3623 + }, + { + "epoch": 0.31, + "learning_rate": 1.6247766075892283e-05, + "loss": 0.9291, + "step": 3624 + }, + { + "epoch": 0.31, + "learning_rate": 1.6245622575614452e-05, + "loss": 0.9601, + "step": 3625 + }, + { + "epoch": 0.31, + "learning_rate": 1.6243478604745333e-05, + "loss": 0.9756, + "step": 3626 + }, + { + "epoch": 0.31, + "learning_rate": 1.6241334163446465e-05, + "loss": 0.9754, + "step": 3627 + }, + { + "epoch": 0.31, + "learning_rate": 1.623918925187943e-05, + "loss": 0.9086, + "step": 3628 + }, + { + "epoch": 0.31, + "learning_rate": 1.623704387020584e-05, + "loss": 0.9577, + "step": 3629 + }, + { + "epoch": 0.31, + "learning_rate": 1.6234898018587336e-05, + "loss": 0.9446, + "step": 3630 + }, + { + "epoch": 0.31, + "learning_rate": 1.6232751697185617e-05, + "loss": 0.9702, + "step": 3631 + }, + { + "epoch": 0.31, + "learning_rate": 1.6230604906162387e-05, + "loss": 0.976, + "step": 3632 + }, + { + "epoch": 0.31, + "learning_rate": 1.6228457645679414e-05, + "loss": 0.9514, + "step": 3633 + }, + { + "epoch": 0.31, + "learning_rate": 1.6226309915898483e-05, + "loss": 0.9847, + "step": 3634 + }, + { + "epoch": 0.31, + "learning_rate": 1.622416171698142e-05, + "loss": 0.8935, + "step": 3635 + }, + { + "epoch": 0.31, + "learning_rate": 1.6222013049090086e-05, + "loss": 0.5312, + "step": 3636 + }, + { + "epoch": 0.31, + "learning_rate": 1.6219863912386376e-05, + "loss": 0.9507, + "step": 3637 + }, + { + "epoch": 0.31, + "learning_rate": 1.621771430703223e-05, + "loss": 0.9388, + "step": 3638 + }, + { + "epoch": 0.31, + "learning_rate": 1.6215564233189606e-05, + "loss": 1.0109, + "step": 3639 + }, + { + "epoch": 0.31, + "learning_rate": 1.6213413691020505e-05, + "loss": 0.9698, + "step": 3640 + }, + { + "epoch": 0.31, + "learning_rate": 1.621126268068697e-05, + "loss": 0.9522, + "step": 3641 + }, + { + "epoch": 0.31, + "learning_rate": 1.6209111202351076e-05, + "loss": 0.9623, + "step": 3642 + }, + { + "epoch": 0.31, + "learning_rate": 1.6206959256174927e-05, + "loss": 0.9547, + "step": 3643 + }, + { + "epoch": 0.31, + "learning_rate": 1.6204806842320667e-05, + "loss": 0.9431, + "step": 3644 + }, + { + "epoch": 0.31, + "learning_rate": 1.6202653960950474e-05, + "loss": 0.9237, + "step": 3645 + }, + { + "epoch": 0.31, + "learning_rate": 1.6200500612226566e-05, + "loss": 0.9384, + "step": 3646 + }, + { + "epoch": 0.31, + "learning_rate": 1.6198346796311188e-05, + "loss": 0.9291, + "step": 3647 + }, + { + "epoch": 0.31, + "learning_rate": 1.619619251336663e-05, + "loss": 0.9515, + "step": 3648 + }, + { + "epoch": 0.31, + "learning_rate": 1.6194037763555203e-05, + "loss": 0.8881, + "step": 3649 + }, + { + "epoch": 0.31, + "learning_rate": 1.619188254703927e-05, + "loss": 0.951, + "step": 3650 + }, + { + "epoch": 0.31, + "learning_rate": 1.6189726863981212e-05, + "loss": 0.9422, + "step": 3651 + }, + { + "epoch": 0.31, + "learning_rate": 1.618757071454346e-05, + "loss": 0.9317, + "step": 3652 + }, + { + "epoch": 0.31, + "learning_rate": 1.6185414098888475e-05, + "loss": 0.9529, + "step": 3653 + }, + { + "epoch": 0.31, + "learning_rate": 1.6183257017178754e-05, + "loss": 0.9361, + "step": 3654 + }, + { + "epoch": 0.31, + "learning_rate": 1.618109946957682e-05, + "loss": 0.5806, + "step": 3655 + }, + { + "epoch": 0.31, + "learning_rate": 1.617894145624524e-05, + "loss": 0.9527, + "step": 3656 + }, + { + "epoch": 0.31, + "learning_rate": 1.6176782977346626e-05, + "loss": 0.9322, + "step": 3657 + }, + { + "epoch": 0.31, + "learning_rate": 1.61746240330436e-05, + "loss": 0.9069, + "step": 3658 + }, + { + "epoch": 0.31, + "learning_rate": 1.617246462349884e-05, + "loss": 0.9409, + "step": 3659 + }, + { + "epoch": 0.31, + "learning_rate": 1.617030474887505e-05, + "loss": 0.923, + "step": 3660 + }, + { + "epoch": 0.31, + "learning_rate": 1.6168144409334966e-05, + "loss": 0.9419, + "step": 3661 + }, + { + "epoch": 0.31, + "learning_rate": 1.6165983605041375e-05, + "loss": 1.0158, + "step": 3662 + }, + { + "epoch": 0.31, + "learning_rate": 1.6163822336157076e-05, + "loss": 0.8994, + "step": 3663 + }, + { + "epoch": 0.31, + "learning_rate": 1.6161660602844924e-05, + "loss": 0.968, + "step": 3664 + }, + { + "epoch": 0.31, + "learning_rate": 1.6159498405267794e-05, + "loss": 0.9687, + "step": 3665 + }, + { + "epoch": 0.31, + "learning_rate": 1.6157335743588606e-05, + "loss": 0.933, + "step": 3666 + }, + { + "epoch": 0.31, + "learning_rate": 1.615517261797031e-05, + "loss": 0.988, + "step": 3667 + }, + { + "epoch": 0.31, + "learning_rate": 1.6153009028575894e-05, + "loss": 0.9489, + "step": 3668 + }, + { + "epoch": 0.31, + "learning_rate": 1.615084497556837e-05, + "loss": 0.9476, + "step": 3669 + }, + { + "epoch": 0.31, + "learning_rate": 1.6148680459110803e-05, + "loss": 0.8988, + "step": 3670 + }, + { + "epoch": 0.31, + "learning_rate": 1.6146515479366282e-05, + "loss": 0.9439, + "step": 3671 + }, + { + "epoch": 0.31, + "learning_rate": 1.6144350036497925e-05, + "loss": 0.9402, + "step": 3672 + }, + { + "epoch": 0.31, + "learning_rate": 1.6142184130668902e-05, + "loss": 0.9278, + "step": 3673 + }, + { + "epoch": 0.31, + "learning_rate": 1.61400177620424e-05, + "loss": 0.951, + "step": 3674 + }, + { + "epoch": 0.31, + "learning_rate": 1.613785093078166e-05, + "loss": 0.9609, + "step": 3675 + }, + { + "epoch": 0.31, + "learning_rate": 1.6135683637049938e-05, + "loss": 0.958, + "step": 3676 + }, + { + "epoch": 0.31, + "learning_rate": 1.6133515881010537e-05, + "loss": 0.9241, + "step": 3677 + }, + { + "epoch": 0.31, + "learning_rate": 1.6131347662826793e-05, + "loss": 0.9518, + "step": 3678 + }, + { + "epoch": 0.31, + "learning_rate": 1.6129178982662073e-05, + "loss": 0.8955, + "step": 3679 + }, + { + "epoch": 0.31, + "learning_rate": 1.612700984067978e-05, + "loss": 0.9589, + "step": 3680 + }, + { + "epoch": 0.31, + "learning_rate": 1.612484023704336e-05, + "loss": 0.9645, + "step": 3681 + }, + { + "epoch": 0.31, + "learning_rate": 1.612267017191628e-05, + "loss": 0.9232, + "step": 3682 + }, + { + "epoch": 0.31, + "learning_rate": 1.612049964546205e-05, + "loss": 0.9274, + "step": 3683 + }, + { + "epoch": 0.31, + "learning_rate": 1.6118328657844216e-05, + "loss": 0.9857, + "step": 3684 + }, + { + "epoch": 0.31, + "learning_rate": 1.6116157209226356e-05, + "loss": 0.9448, + "step": 3685 + }, + { + "epoch": 0.31, + "learning_rate": 1.6113985299772083e-05, + "loss": 0.9384, + "step": 3686 + }, + { + "epoch": 0.31, + "learning_rate": 1.611181292964504e-05, + "loss": 0.9472, + "step": 3687 + }, + { + "epoch": 0.31, + "learning_rate": 1.6109640099008914e-05, + "loss": 0.9138, + "step": 3688 + }, + { + "epoch": 0.31, + "learning_rate": 1.610746680802742e-05, + "loss": 0.9786, + "step": 3689 + }, + { + "epoch": 0.31, + "learning_rate": 1.6105293056864314e-05, + "loss": 0.9065, + "step": 3690 + }, + { + "epoch": 0.31, + "learning_rate": 1.610311884568338e-05, + "loss": 0.9003, + "step": 3691 + }, + { + "epoch": 0.31, + "learning_rate": 1.6100944174648433e-05, + "loss": 0.9398, + "step": 3692 + }, + { + "epoch": 0.31, + "learning_rate": 1.6098769043923338e-05, + "loss": 0.9817, + "step": 3693 + }, + { + "epoch": 0.31, + "learning_rate": 1.6096593453671983e-05, + "loss": 0.9723, + "step": 3694 + }, + { + "epoch": 0.31, + "learning_rate": 1.609441740405829e-05, + "loss": 0.9582, + "step": 3695 + }, + { + "epoch": 0.31, + "learning_rate": 1.609224089524622e-05, + "loss": 0.5508, + "step": 3696 + }, + { + "epoch": 0.31, + "learning_rate": 1.6090063927399764e-05, + "loss": 0.9587, + "step": 3697 + }, + { + "epoch": 0.31, + "learning_rate": 1.6087886500682958e-05, + "loss": 0.9702, + "step": 3698 + }, + { + "epoch": 0.31, + "learning_rate": 1.6085708615259863e-05, + "loss": 0.9651, + "step": 3699 + }, + { + "epoch": 0.31, + "learning_rate": 1.608353027129457e-05, + "loss": 0.8996, + "step": 3700 + }, + { + "epoch": 0.31, + "learning_rate": 1.6081351468951224e-05, + "loss": 0.6128, + "step": 3701 + }, + { + "epoch": 0.31, + "learning_rate": 1.6079172208393985e-05, + "loss": 1.012, + "step": 3702 + }, + { + "epoch": 0.31, + "learning_rate": 1.607699248978705e-05, + "loss": 0.9248, + "step": 3703 + }, + { + "epoch": 0.31, + "learning_rate": 1.6074812313294665e-05, + "loss": 0.9309, + "step": 3704 + }, + { + "epoch": 0.31, + "learning_rate": 1.607263167908109e-05, + "loss": 0.951, + "step": 3705 + }, + { + "epoch": 0.31, + "learning_rate": 1.607045058731064e-05, + "loss": 0.9101, + "step": 3706 + }, + { + "epoch": 0.31, + "learning_rate": 1.6068269038147645e-05, + "loss": 0.949, + "step": 3707 + }, + { + "epoch": 0.31, + "learning_rate": 1.6066087031756485e-05, + "loss": 0.9724, + "step": 3708 + }, + { + "epoch": 0.31, + "learning_rate": 1.6063904568301572e-05, + "loss": 1.0013, + "step": 3709 + }, + { + "epoch": 0.31, + "learning_rate": 1.6061721647947343e-05, + "loss": 0.5313, + "step": 3710 + }, + { + "epoch": 0.31, + "learning_rate": 1.6059538270858275e-05, + "loss": 0.9603, + "step": 3711 + }, + { + "epoch": 0.31, + "learning_rate": 1.6057354437198882e-05, + "loss": 0.939, + "step": 3712 + }, + { + "epoch": 0.31, + "learning_rate": 1.605517014713371e-05, + "loss": 0.9279, + "step": 3713 + }, + { + "epoch": 0.31, + "learning_rate": 1.605298540082734e-05, + "loss": 0.954, + "step": 3714 + }, + { + "epoch": 0.31, + "learning_rate": 1.6050800198444385e-05, + "loss": 0.9525, + "step": 3715 + }, + { + "epoch": 0.31, + "learning_rate": 1.6048614540149494e-05, + "loss": 0.9022, + "step": 3716 + }, + { + "epoch": 0.32, + "learning_rate": 1.6046428426107354e-05, + "loss": 0.948, + "step": 3717 + }, + { + "epoch": 0.32, + "learning_rate": 1.6044241856482677e-05, + "loss": 0.9634, + "step": 3718 + }, + { + "epoch": 0.32, + "learning_rate": 1.6042054831440227e-05, + "loss": 0.9252, + "step": 3719 + }, + { + "epoch": 0.32, + "learning_rate": 1.6039867351144778e-05, + "loss": 0.8525, + "step": 3720 + }, + { + "epoch": 0.32, + "learning_rate": 1.6037679415761155e-05, + "loss": 0.9174, + "step": 3721 + }, + { + "epoch": 0.32, + "learning_rate": 1.6035491025454215e-05, + "loss": 0.946, + "step": 3722 + }, + { + "epoch": 0.32, + "learning_rate": 1.603330218038885e-05, + "loss": 0.9122, + "step": 3723 + }, + { + "epoch": 0.32, + "learning_rate": 1.6031112880729974e-05, + "loss": 0.9308, + "step": 3724 + }, + { + "epoch": 0.32, + "learning_rate": 1.6028923126642553e-05, + "loss": 0.9283, + "step": 3725 + }, + { + "epoch": 0.32, + "learning_rate": 1.6026732918291577e-05, + "loss": 0.9629, + "step": 3726 + }, + { + "epoch": 0.32, + "learning_rate": 1.6024542255842077e-05, + "loss": 0.8855, + "step": 3727 + }, + { + "epoch": 0.32, + "learning_rate": 1.6022351139459106e-05, + "loss": 0.9048, + "step": 3728 + }, + { + "epoch": 0.32, + "learning_rate": 1.602015956930776e-05, + "loss": 0.9401, + "step": 3729 + }, + { + "epoch": 0.32, + "learning_rate": 1.6017967545553174e-05, + "loss": 0.9619, + "step": 3730 + }, + { + "epoch": 0.32, + "learning_rate": 1.6015775068360507e-05, + "loss": 0.9031, + "step": 3731 + }, + { + "epoch": 0.32, + "learning_rate": 1.6013582137894957e-05, + "loss": 0.9516, + "step": 3732 + }, + { + "epoch": 0.32, + "learning_rate": 1.6011388754321757e-05, + "loss": 0.9448, + "step": 3733 + }, + { + "epoch": 0.32, + "learning_rate": 1.600919491780617e-05, + "loss": 0.9648, + "step": 3734 + }, + { + "epoch": 0.32, + "learning_rate": 1.6007000628513498e-05, + "loss": 0.9694, + "step": 3735 + }, + { + "epoch": 0.32, + "learning_rate": 1.6004805886609074e-05, + "loss": 0.8871, + "step": 3736 + }, + { + "epoch": 0.32, + "learning_rate": 1.6002610692258265e-05, + "loss": 0.945, + "step": 3737 + }, + { + "epoch": 0.32, + "learning_rate": 1.6000415045626474e-05, + "loss": 0.8843, + "step": 3738 + }, + { + "epoch": 0.32, + "learning_rate": 1.599821894687914e-05, + "loss": 0.5574, + "step": 3739 + }, + { + "epoch": 0.32, + "learning_rate": 1.599602239618173e-05, + "loss": 0.9183, + "step": 3740 + }, + { + "epoch": 0.32, + "learning_rate": 1.5993825393699746e-05, + "loss": 0.9085, + "step": 3741 + }, + { + "epoch": 0.32, + "learning_rate": 1.5991627939598732e-05, + "loss": 0.893, + "step": 3742 + }, + { + "epoch": 0.32, + "learning_rate": 1.598943003404426e-05, + "loss": 0.9517, + "step": 3743 + }, + { + "epoch": 0.32, + "learning_rate": 1.598723167720193e-05, + "loss": 0.9649, + "step": 3744 + }, + { + "epoch": 0.32, + "learning_rate": 1.5985032869237392e-05, + "loss": 0.927, + "step": 3745 + }, + { + "epoch": 0.32, + "learning_rate": 1.598283361031631e-05, + "loss": 0.5419, + "step": 3746 + }, + { + "epoch": 0.32, + "learning_rate": 1.59806339006044e-05, + "loss": 1.0024, + "step": 3747 + }, + { + "epoch": 0.32, + "learning_rate": 1.5978433740267402e-05, + "loss": 0.9395, + "step": 3748 + }, + { + "epoch": 0.32, + "learning_rate": 1.597623312947109e-05, + "loss": 0.9429, + "step": 3749 + }, + { + "epoch": 0.32, + "learning_rate": 1.597403206838128e-05, + "loss": 0.97, + "step": 3750 + }, + { + "epoch": 0.32, + "learning_rate": 1.5971830557163813e-05, + "loss": 0.9576, + "step": 3751 + }, + { + "epoch": 0.32, + "learning_rate": 1.5969628595984566e-05, + "loss": 0.9354, + "step": 3752 + }, + { + "epoch": 0.32, + "learning_rate": 1.5967426185009448e-05, + "loss": 0.9445, + "step": 3753 + }, + { + "epoch": 0.32, + "learning_rate": 1.5965223324404414e-05, + "loss": 0.8945, + "step": 3754 + }, + { + "epoch": 0.32, + "learning_rate": 1.5963020014335437e-05, + "loss": 0.9694, + "step": 3755 + }, + { + "epoch": 0.32, + "learning_rate": 1.596081625496853e-05, + "loss": 0.9466, + "step": 3756 + }, + { + "epoch": 0.32, + "learning_rate": 1.5958612046469745e-05, + "loss": 0.965, + "step": 3757 + }, + { + "epoch": 0.32, + "learning_rate": 1.595640738900516e-05, + "loss": 0.9427, + "step": 3758 + }, + { + "epoch": 0.32, + "learning_rate": 1.595420228274089e-05, + "loss": 0.5634, + "step": 3759 + }, + { + "epoch": 0.32, + "learning_rate": 1.5951996727843087e-05, + "loss": 0.9845, + "step": 3760 + }, + { + "epoch": 0.32, + "learning_rate": 1.5949790724477932e-05, + "loss": 0.9434, + "step": 3761 + }, + { + "epoch": 0.32, + "learning_rate": 1.594758427281164e-05, + "loss": 0.9089, + "step": 3762 + }, + { + "epoch": 0.32, + "learning_rate": 1.5945377373010462e-05, + "loss": 0.9768, + "step": 3763 + }, + { + "epoch": 0.32, + "learning_rate": 1.5943170025240685e-05, + "loss": 0.9072, + "step": 3764 + }, + { + "epoch": 0.32, + "learning_rate": 1.5940962229668625e-05, + "loss": 0.8856, + "step": 3765 + }, + { + "epoch": 0.32, + "learning_rate": 1.5938753986460634e-05, + "loss": 0.578, + "step": 3766 + }, + { + "epoch": 0.32, + "learning_rate": 1.5936545295783094e-05, + "loss": 0.9566, + "step": 3767 + }, + { + "epoch": 0.32, + "learning_rate": 1.5934336157802427e-05, + "loss": 0.9129, + "step": 3768 + }, + { + "epoch": 0.32, + "learning_rate": 1.593212657268509e-05, + "loss": 0.8851, + "step": 3769 + }, + { + "epoch": 0.32, + "learning_rate": 1.5929916540597557e-05, + "loss": 0.9448, + "step": 3770 + }, + { + "epoch": 0.32, + "learning_rate": 1.5927706061706363e-05, + "loss": 0.9646, + "step": 3771 + }, + { + "epoch": 0.32, + "learning_rate": 1.5925495136178054e-05, + "loss": 0.932, + "step": 3772 + }, + { + "epoch": 0.32, + "learning_rate": 1.5923283764179214e-05, + "loss": 0.9366, + "step": 3773 + }, + { + "epoch": 0.32, + "learning_rate": 1.592107194587647e-05, + "loss": 0.9625, + "step": 3774 + }, + { + "epoch": 0.32, + "learning_rate": 1.591885968143648e-05, + "loss": 0.9301, + "step": 3775 + }, + { + "epoch": 0.32, + "learning_rate": 1.5916646971025925e-05, + "loss": 0.9066, + "step": 3776 + }, + { + "epoch": 0.32, + "learning_rate": 1.5914433814811524e-05, + "loss": 0.8954, + "step": 3777 + }, + { + "epoch": 0.32, + "learning_rate": 1.5912220212960042e-05, + "loss": 0.9253, + "step": 3778 + }, + { + "epoch": 0.32, + "learning_rate": 1.5910006165638267e-05, + "loss": 0.9828, + "step": 3779 + }, + { + "epoch": 0.32, + "learning_rate": 1.5907791673013016e-05, + "loss": 0.9791, + "step": 3780 + }, + { + "epoch": 0.32, + "learning_rate": 1.5905576735251148e-05, + "loss": 0.9426, + "step": 3781 + }, + { + "epoch": 0.32, + "learning_rate": 1.5903361352519552e-05, + "loss": 0.9756, + "step": 3782 + }, + { + "epoch": 0.32, + "learning_rate": 1.5901145524985155e-05, + "loss": 0.9433, + "step": 3783 + }, + { + "epoch": 0.32, + "learning_rate": 1.5898929252814907e-05, + "loss": 0.9746, + "step": 3784 + }, + { + "epoch": 0.32, + "learning_rate": 1.58967125361758e-05, + "loss": 0.9704, + "step": 3785 + }, + { + "epoch": 0.32, + "learning_rate": 1.5894495375234865e-05, + "loss": 0.92, + "step": 3786 + }, + { + "epoch": 0.32, + "learning_rate": 1.589227777015915e-05, + "loss": 0.8966, + "step": 3787 + }, + { + "epoch": 0.32, + "learning_rate": 1.5890059721115753e-05, + "loss": 0.5573, + "step": 3788 + }, + { + "epoch": 0.32, + "learning_rate": 1.5887841228271794e-05, + "loss": 0.8746, + "step": 3789 + }, + { + "epoch": 0.32, + "learning_rate": 1.588562229179443e-05, + "loss": 0.9607, + "step": 3790 + }, + { + "epoch": 0.32, + "learning_rate": 1.5883402911850856e-05, + "loss": 0.9488, + "step": 3791 + }, + { + "epoch": 0.32, + "learning_rate": 1.5881183088608293e-05, + "loss": 0.9693, + "step": 3792 + }, + { + "epoch": 0.32, + "learning_rate": 1.5878962822234002e-05, + "loss": 0.9121, + "step": 3793 + }, + { + "epoch": 0.32, + "learning_rate": 1.587674211289527e-05, + "loss": 0.8746, + "step": 3794 + }, + { + "epoch": 0.32, + "learning_rate": 1.5874520960759423e-05, + "loss": 0.9806, + "step": 3795 + }, + { + "epoch": 0.32, + "learning_rate": 1.587229936599382e-05, + "loss": 0.946, + "step": 3796 + }, + { + "epoch": 0.32, + "learning_rate": 1.5870077328765857e-05, + "loss": 0.9853, + "step": 3797 + }, + { + "epoch": 0.32, + "learning_rate": 1.586785484924295e-05, + "loss": 0.941, + "step": 3798 + }, + { + "epoch": 0.32, + "learning_rate": 1.586563192759256e-05, + "loss": 0.9489, + "step": 3799 + }, + { + "epoch": 0.32, + "learning_rate": 1.586340856398218e-05, + "loss": 0.9096, + "step": 3800 + }, + { + "epoch": 0.32, + "learning_rate": 1.5861184758579332e-05, + "loss": 0.9612, + "step": 3801 + }, + { + "epoch": 0.32, + "learning_rate": 1.5858960511551578e-05, + "loss": 0.9083, + "step": 3802 + }, + { + "epoch": 0.32, + "learning_rate": 1.585673582306651e-05, + "loss": 0.9695, + "step": 3803 + }, + { + "epoch": 0.32, + "learning_rate": 1.5854510693291744e-05, + "loss": 0.9958, + "step": 3804 + }, + { + "epoch": 0.32, + "learning_rate": 1.5852285122394943e-05, + "loss": 0.9462, + "step": 3805 + }, + { + "epoch": 0.32, + "learning_rate": 1.58500591105438e-05, + "loss": 0.9343, + "step": 3806 + }, + { + "epoch": 0.32, + "learning_rate": 1.584783265790604e-05, + "loss": 0.8956, + "step": 3807 + }, + { + "epoch": 0.32, + "learning_rate": 1.5845605764649415e-05, + "loss": 0.9268, + "step": 3808 + }, + { + "epoch": 0.32, + "learning_rate": 1.5843378430941715e-05, + "loss": 0.9037, + "step": 3809 + }, + { + "epoch": 0.32, + "learning_rate": 1.584115065695077e-05, + "loss": 0.9649, + "step": 3810 + }, + { + "epoch": 0.32, + "learning_rate": 1.5838922442844436e-05, + "loss": 0.9547, + "step": 3811 + }, + { + "epoch": 0.32, + "learning_rate": 1.5836693788790597e-05, + "loss": 0.9589, + "step": 3812 + }, + { + "epoch": 0.32, + "learning_rate": 1.583446469495718e-05, + "loss": 0.5193, + "step": 3813 + }, + { + "epoch": 0.32, + "learning_rate": 1.5832235161512144e-05, + "loss": 0.9087, + "step": 3814 + }, + { + "epoch": 0.32, + "learning_rate": 1.5830005188623476e-05, + "loss": 0.9393, + "step": 3815 + }, + { + "epoch": 0.32, + "learning_rate": 1.5827774776459195e-05, + "loss": 0.9077, + "step": 3816 + }, + { + "epoch": 0.32, + "learning_rate": 1.5825543925187363e-05, + "loss": 0.94, + "step": 3817 + }, + { + "epoch": 0.32, + "learning_rate": 1.5823312634976068e-05, + "loss": 0.962, + "step": 3818 + }, + { + "epoch": 0.32, + "learning_rate": 1.5821080905993425e-05, + "loss": 0.9061, + "step": 3819 + }, + { + "epoch": 0.32, + "learning_rate": 1.58188487384076e-05, + "loss": 0.8783, + "step": 3820 + }, + { + "epoch": 0.32, + "learning_rate": 1.581661613238677e-05, + "loss": 0.9277, + "step": 3821 + }, + { + "epoch": 0.32, + "learning_rate": 1.5814383088099164e-05, + "loss": 0.8791, + "step": 3822 + }, + { + "epoch": 0.32, + "learning_rate": 1.5812149605713028e-05, + "loss": 0.9202, + "step": 3823 + }, + { + "epoch": 0.32, + "learning_rate": 1.580991568539666e-05, + "loss": 0.9324, + "step": 3824 + }, + { + "epoch": 0.32, + "learning_rate": 1.5807681327318372e-05, + "loss": 0.9466, + "step": 3825 + }, + { + "epoch": 0.32, + "learning_rate": 1.5805446531646516e-05, + "loss": 0.9236, + "step": 3826 + }, + { + "epoch": 0.32, + "learning_rate": 1.5803211298549483e-05, + "loss": 0.8712, + "step": 3827 + }, + { + "epoch": 0.32, + "learning_rate": 1.5800975628195692e-05, + "loss": 0.9432, + "step": 3828 + }, + { + "epoch": 0.32, + "learning_rate": 1.579873952075359e-05, + "loss": 0.9793, + "step": 3829 + }, + { + "epoch": 0.32, + "learning_rate": 1.579650297639167e-05, + "loss": 0.9302, + "step": 3830 + }, + { + "epoch": 0.32, + "learning_rate": 1.5794265995278438e-05, + "loss": 0.9385, + "step": 3831 + }, + { + "epoch": 0.32, + "learning_rate": 1.5792028577582453e-05, + "loss": 0.9437, + "step": 3832 + }, + { + "epoch": 0.32, + "learning_rate": 1.57897907234723e-05, + "loss": 0.9102, + "step": 3833 + }, + { + "epoch": 0.32, + "learning_rate": 1.5787552433116586e-05, + "loss": 0.9593, + "step": 3834 + }, + { + "epoch": 0.33, + "learning_rate": 1.578531370668397e-05, + "loss": 0.9195, + "step": 3835 + }, + { + "epoch": 0.33, + "learning_rate": 1.5783074544343132e-05, + "loss": 0.93, + "step": 3836 + }, + { + "epoch": 0.33, + "learning_rate": 1.5780834946262782e-05, + "loss": 0.9217, + "step": 3837 + }, + { + "epoch": 0.33, + "learning_rate": 1.5778594912611677e-05, + "loss": 0.9448, + "step": 3838 + }, + { + "epoch": 0.33, + "learning_rate": 1.5778594912611677e-05, + "loss": 0.9293, + "step": 3839 + }, + { + "epoch": 0.33, + "learning_rate": 1.577635444355859e-05, + "loss": 0.9029, + "step": 3840 + }, + { + "epoch": 0.33, + "learning_rate": 1.5774113539272332e-05, + "loss": 0.944, + "step": 3841 + }, + { + "epoch": 0.33, + "learning_rate": 1.5771872199921755e-05, + "loss": 0.9581, + "step": 3842 + }, + { + "epoch": 0.33, + "learning_rate": 1.576963042567574e-05, + "loss": 0.8908, + "step": 3843 + }, + { + "epoch": 0.33, + "learning_rate": 1.5767388216703196e-05, + "loss": 0.9671, + "step": 3844 + }, + { + "epoch": 0.33, + "learning_rate": 1.5765145573173066e-05, + "loss": 0.9731, + "step": 3845 + }, + { + "epoch": 0.33, + "learning_rate": 1.576290249525433e-05, + "loss": 0.938, + "step": 3846 + }, + { + "epoch": 0.33, + "learning_rate": 1.576065898311599e-05, + "loss": 0.9542, + "step": 3847 + }, + { + "epoch": 0.33, + "learning_rate": 1.5758415036927105e-05, + "loss": 0.8781, + "step": 3848 + }, + { + "epoch": 0.33, + "learning_rate": 1.575617065685674e-05, + "loss": 0.9459, + "step": 3849 + }, + { + "epoch": 0.33, + "learning_rate": 1.5753925843073997e-05, + "loss": 0.9839, + "step": 3850 + }, + { + "epoch": 0.33, + "learning_rate": 1.575168059574803e-05, + "loss": 0.9754, + "step": 3851 + }, + { + "epoch": 0.33, + "learning_rate": 1.5749434915048004e-05, + "loss": 0.9517, + "step": 3852 + }, + { + "epoch": 0.33, + "learning_rate": 1.5747188801143126e-05, + "loss": 0.5583, + "step": 3853 + }, + { + "epoch": 0.33, + "learning_rate": 1.5744942254202638e-05, + "loss": 0.9416, + "step": 3854 + }, + { + "epoch": 0.33, + "learning_rate": 1.574269527439581e-05, + "loss": 0.9149, + "step": 3855 + }, + { + "epoch": 0.33, + "learning_rate": 1.5740447861891946e-05, + "loss": 0.9652, + "step": 3856 + }, + { + "epoch": 0.33, + "learning_rate": 1.5738200016860382e-05, + "loss": 0.935, + "step": 3857 + }, + { + "epoch": 0.33, + "learning_rate": 1.5735951739470485e-05, + "loss": 0.6292, + "step": 3858 + }, + { + "epoch": 0.33, + "learning_rate": 1.573370302989166e-05, + "loss": 0.9232, + "step": 3859 + }, + { + "epoch": 0.33, + "learning_rate": 1.5731453888293343e-05, + "loss": 0.946, + "step": 3860 + }, + { + "epoch": 0.33, + "learning_rate": 1.5729204314845002e-05, + "loss": 0.8997, + "step": 3861 + }, + { + "epoch": 0.33, + "learning_rate": 1.5726954309716128e-05, + "loss": 0.9795, + "step": 3862 + }, + { + "epoch": 0.33, + "learning_rate": 1.572470387307626e-05, + "loss": 0.953, + "step": 3863 + }, + { + "epoch": 0.33, + "learning_rate": 1.572245300509496e-05, + "loss": 0.9352, + "step": 3864 + }, + { + "epoch": 0.33, + "learning_rate": 1.5720201705941827e-05, + "loss": 0.9493, + "step": 3865 + }, + { + "epoch": 0.33, + "learning_rate": 1.571794997578649e-05, + "loss": 0.9096, + "step": 3866 + }, + { + "epoch": 0.33, + "learning_rate": 1.5715697814798608e-05, + "loss": 0.9441, + "step": 3867 + }, + { + "epoch": 0.33, + "learning_rate": 1.5713445223147876e-05, + "loss": 0.5029, + "step": 3868 + }, + { + "epoch": 0.33, + "learning_rate": 1.5711192201004023e-05, + "loss": 0.9584, + "step": 3869 + }, + { + "epoch": 0.33, + "learning_rate": 1.570893874853681e-05, + "loss": 0.9866, + "step": 3870 + }, + { + "epoch": 0.33, + "learning_rate": 1.5706684865916025e-05, + "loss": 0.9917, + "step": 3871 + }, + { + "epoch": 0.33, + "learning_rate": 1.5704430553311496e-05, + "loss": 0.9242, + "step": 3872 + }, + { + "epoch": 0.33, + "learning_rate": 1.5702175810893075e-05, + "loss": 0.9441, + "step": 3873 + }, + { + "epoch": 0.33, + "learning_rate": 1.5699920638830656e-05, + "loss": 0.8917, + "step": 3874 + }, + { + "epoch": 0.33, + "learning_rate": 1.5697665037294157e-05, + "loss": 0.921, + "step": 3875 + }, + { + "epoch": 0.33, + "learning_rate": 1.5695409006453527e-05, + "loss": 0.9227, + "step": 3876 + }, + { + "epoch": 0.33, + "learning_rate": 1.5693152546478762e-05, + "loss": 0.9315, + "step": 3877 + }, + { + "epoch": 0.33, + "learning_rate": 1.569089565753987e-05, + "loss": 0.9906, + "step": 3878 + }, + { + "epoch": 0.33, + "learning_rate": 1.5688638339806916e-05, + "loss": 0.8831, + "step": 3879 + }, + { + "epoch": 0.33, + "learning_rate": 1.5686380593449966e-05, + "loss": 0.9144, + "step": 3880 + }, + { + "epoch": 0.33, + "learning_rate": 1.568412241863915e-05, + "loss": 0.9183, + "step": 3881 + }, + { + "epoch": 0.33, + "learning_rate": 1.5681863815544604e-05, + "loss": 0.5891, + "step": 3882 + }, + { + "epoch": 0.33, + "learning_rate": 1.5679604784336516e-05, + "loss": 0.9262, + "step": 3883 + }, + { + "epoch": 0.33, + "learning_rate": 1.5677345325185093e-05, + "loss": 0.9787, + "step": 3884 + }, + { + "epoch": 0.33, + "learning_rate": 1.5675085438260584e-05, + "loss": 0.885, + "step": 3885 + }, + { + "epoch": 0.33, + "learning_rate": 1.5672825123733257e-05, + "loss": 0.9154, + "step": 3886 + }, + { + "epoch": 0.33, + "learning_rate": 1.567056438177343e-05, + "loss": 0.953, + "step": 3887 + }, + { + "epoch": 0.33, + "learning_rate": 1.5668303212551438e-05, + "loss": 0.9373, + "step": 3888 + }, + { + "epoch": 0.33, + "learning_rate": 1.566604161623766e-05, + "loss": 0.9551, + "step": 3889 + }, + { + "epoch": 0.33, + "learning_rate": 1.5663779593002498e-05, + "loss": 0.8794, + "step": 3890 + }, + { + "epoch": 0.33, + "learning_rate": 1.5661517143016386e-05, + "loss": 0.9182, + "step": 3891 + }, + { + "epoch": 0.33, + "learning_rate": 1.56592542664498e-05, + "loss": 0.8903, + "step": 3892 + }, + { + "epoch": 0.33, + "learning_rate": 1.565699096347324e-05, + "loss": 0.9366, + "step": 3893 + }, + { + "epoch": 0.33, + "learning_rate": 1.565699096347324e-05, + "loss": 0.9324, + "step": 3894 + }, + { + "epoch": 0.33, + "learning_rate": 1.5654727234257236e-05, + "loss": 0.9523, + "step": 3895 + }, + { + "epoch": 0.33, + "learning_rate": 1.565246307897236e-05, + "loss": 0.8747, + "step": 3896 + }, + { + "epoch": 0.33, + "learning_rate": 1.56501984977892e-05, + "loss": 0.9679, + "step": 3897 + }, + { + "epoch": 0.33, + "learning_rate": 1.5647933490878402e-05, + "loss": 0.9637, + "step": 3898 + }, + { + "epoch": 0.33, + "learning_rate": 1.5645668058410617e-05, + "loss": 0.9559, + "step": 3899 + }, + { + "epoch": 0.33, + "learning_rate": 1.5643402200556543e-05, + "loss": 0.8751, + "step": 3900 + }, + { + "epoch": 0.33, + "learning_rate": 1.5641135917486906e-05, + "loss": 0.9145, + "step": 3901 + }, + { + "epoch": 0.33, + "learning_rate": 1.563886920937246e-05, + "loss": 0.945, + "step": 3902 + }, + { + "epoch": 0.33, + "learning_rate": 1.5636602076384006e-05, + "loss": 0.9688, + "step": 3903 + }, + { + "epoch": 0.33, + "learning_rate": 1.5634334518692355e-05, + "loss": 0.9535, + "step": 3904 + }, + { + "epoch": 0.33, + "learning_rate": 1.5632066536468367e-05, + "loss": 0.9405, + "step": 3905 + }, + { + "epoch": 0.33, + "learning_rate": 1.5629798129882926e-05, + "loss": 0.9751, + "step": 3906 + }, + { + "epoch": 0.33, + "learning_rate": 1.562752929910696e-05, + "loss": 0.9443, + "step": 3907 + }, + { + "epoch": 0.33, + "learning_rate": 1.5625260044311405e-05, + "loss": 0.9123, + "step": 3908 + }, + { + "epoch": 0.33, + "learning_rate": 1.5622990365667256e-05, + "loss": 0.9698, + "step": 3909 + }, + { + "epoch": 0.33, + "learning_rate": 1.5620720263345517e-05, + "loss": 0.9207, + "step": 3910 + }, + { + "epoch": 0.33, + "learning_rate": 1.5618449737517242e-05, + "loss": 0.9271, + "step": 3911 + }, + { + "epoch": 0.33, + "learning_rate": 1.5616178788353508e-05, + "loss": 0.8828, + "step": 3912 + }, + { + "epoch": 0.33, + "learning_rate": 1.561390741602542e-05, + "loss": 0.9689, + "step": 3913 + }, + { + "epoch": 0.33, + "learning_rate": 1.5611635620704128e-05, + "loss": 0.9114, + "step": 3914 + }, + { + "epoch": 0.33, + "learning_rate": 1.5609363402560796e-05, + "loss": 0.9404, + "step": 3915 + }, + { + "epoch": 0.33, + "learning_rate": 1.5607090761766634e-05, + "loss": 0.9384, + "step": 3916 + }, + { + "epoch": 0.33, + "learning_rate": 1.5604817698492886e-05, + "loss": 0.9471, + "step": 3917 + }, + { + "epoch": 0.33, + "learning_rate": 1.5602544212910814e-05, + "loss": 0.9352, + "step": 3918 + }, + { + "epoch": 0.33, + "learning_rate": 1.5600270305191715e-05, + "loss": 0.9363, + "step": 3919 + }, + { + "epoch": 0.33, + "learning_rate": 1.5597995975506936e-05, + "loss": 0.9804, + "step": 3920 + }, + { + "epoch": 0.33, + "learning_rate": 1.559572122402783e-05, + "loss": 0.9198, + "step": 3921 + }, + { + "epoch": 0.33, + "learning_rate": 1.5593446050925797e-05, + "loss": 0.9632, + "step": 3922 + }, + { + "epoch": 0.33, + "learning_rate": 1.5591170456372264e-05, + "loss": 0.9684, + "step": 3923 + }, + { + "epoch": 0.33, + "learning_rate": 1.5588894440538694e-05, + "loss": 0.9154, + "step": 3924 + }, + { + "epoch": 0.33, + "learning_rate": 1.558661800359658e-05, + "loss": 0.9294, + "step": 3925 + }, + { + "epoch": 0.33, + "learning_rate": 1.558434114571744e-05, + "loss": 0.9449, + "step": 3926 + }, + { + "epoch": 0.33, + "learning_rate": 1.5582063867072835e-05, + "loss": 0.9902, + "step": 3927 + }, + { + "epoch": 0.33, + "learning_rate": 1.5579786167834345e-05, + "loss": 0.9385, + "step": 3928 + }, + { + "epoch": 0.33, + "learning_rate": 1.5577508048173596e-05, + "loss": 0.9502, + "step": 3929 + }, + { + "epoch": 0.33, + "learning_rate": 1.5575229508262237e-05, + "loss": 0.9481, + "step": 3930 + }, + { + "epoch": 0.33, + "learning_rate": 1.5572950548271946e-05, + "loss": 0.9557, + "step": 3931 + }, + { + "epoch": 0.33, + "learning_rate": 1.557067116837444e-05, + "loss": 0.8999, + "step": 3932 + }, + { + "epoch": 0.33, + "learning_rate": 1.556839136874146e-05, + "loss": 0.965, + "step": 3933 + }, + { + "epoch": 0.33, + "learning_rate": 1.5566111149544792e-05, + "loss": 0.924, + "step": 3934 + }, + { + "epoch": 0.33, + "learning_rate": 1.5563830510956234e-05, + "loss": 0.8841, + "step": 3935 + }, + { + "epoch": 0.33, + "learning_rate": 1.556154945314763e-05, + "loss": 0.944, + "step": 3936 + }, + { + "epoch": 0.33, + "learning_rate": 1.5559267976290854e-05, + "loss": 0.9637, + "step": 3937 + }, + { + "epoch": 0.33, + "learning_rate": 1.555698608055781e-05, + "loss": 0.9092, + "step": 3938 + }, + { + "epoch": 0.33, + "learning_rate": 1.555470376612043e-05, + "loss": 0.9483, + "step": 3939 + }, + { + "epoch": 0.33, + "learning_rate": 1.555242103315068e-05, + "loss": 0.7475, + "step": 3940 + }, + { + "epoch": 0.33, + "learning_rate": 1.555013788182056e-05, + "loss": 0.9506, + "step": 3941 + }, + { + "epoch": 0.33, + "learning_rate": 1.5547854312302096e-05, + "loss": 0.9548, + "step": 3942 + }, + { + "epoch": 0.33, + "learning_rate": 1.5545570324767357e-05, + "loss": 0.9369, + "step": 3943 + }, + { + "epoch": 0.33, + "learning_rate": 1.5543285919388426e-05, + "loss": 0.9484, + "step": 3944 + }, + { + "epoch": 0.33, + "learning_rate": 1.5541001096337433e-05, + "loss": 0.9589, + "step": 3945 + }, + { + "epoch": 0.33, + "learning_rate": 1.5538715855786526e-05, + "loss": 0.9541, + "step": 3946 + }, + { + "epoch": 0.33, + "learning_rate": 1.5536430197907904e-05, + "loss": 1.008, + "step": 3947 + }, + { + "epoch": 0.33, + "learning_rate": 1.553414412287378e-05, + "loss": 0.9517, + "step": 3948 + }, + { + "epoch": 0.33, + "learning_rate": 1.5531857630856395e-05, + "loss": 0.9257, + "step": 3949 + }, + { + "epoch": 0.33, + "learning_rate": 1.552957072202804e-05, + "loss": 0.9289, + "step": 3950 + }, + { + "epoch": 0.33, + "learning_rate": 1.5527283396561025e-05, + "loss": 0.9377, + "step": 3951 + }, + { + "epoch": 0.33, + "learning_rate": 1.5524995654627696e-05, + "loss": 0.9925, + "step": 3952 + }, + { + "epoch": 0.34, + "learning_rate": 1.5522707496400425e-05, + "loss": 0.8908, + "step": 3953 + }, + { + "epoch": 0.34, + "learning_rate": 1.5520418922051624e-05, + "loss": 1.0111, + "step": 3954 + }, + { + "epoch": 0.34, + "learning_rate": 1.5518129931753724e-05, + "loss": 0.9178, + "step": 3955 + }, + { + "epoch": 0.34, + "learning_rate": 1.55158405256792e-05, + "loss": 0.9766, + "step": 3956 + }, + { + "epoch": 0.34, + "learning_rate": 1.5513550704000548e-05, + "loss": 0.9778, + "step": 3957 + }, + { + "epoch": 0.34, + "learning_rate": 1.5511260466890302e-05, + "loss": 0.9468, + "step": 3958 + }, + { + "epoch": 0.34, + "learning_rate": 1.5508969814521026e-05, + "loss": 0.9725, + "step": 3959 + }, + { + "epoch": 0.34, + "learning_rate": 1.5506678747065314e-05, + "loss": 0.9484, + "step": 3960 + }, + { + "epoch": 0.34, + "learning_rate": 1.5504387264695795e-05, + "loss": 0.9577, + "step": 3961 + }, + { + "epoch": 0.34, + "learning_rate": 1.5502095367585124e-05, + "loss": 0.9232, + "step": 3962 + }, + { + "epoch": 0.34, + "learning_rate": 1.549980305590599e-05, + "loss": 0.9858, + "step": 3963 + }, + { + "epoch": 0.34, + "learning_rate": 1.5497510329831105e-05, + "loss": 0.9318, + "step": 3964 + }, + { + "epoch": 0.34, + "learning_rate": 1.549521718953323e-05, + "loss": 0.9328, + "step": 3965 + }, + { + "epoch": 0.34, + "learning_rate": 1.549292363518515e-05, + "loss": 0.936, + "step": 3966 + }, + { + "epoch": 0.34, + "learning_rate": 1.5490629666959668e-05, + "loss": 1.0057, + "step": 3967 + }, + { + "epoch": 0.34, + "learning_rate": 1.548833528502963e-05, + "loss": 0.9355, + "step": 3968 + }, + { + "epoch": 0.34, + "learning_rate": 1.5486040489567916e-05, + "loss": 0.944, + "step": 3969 + }, + { + "epoch": 0.34, + "learning_rate": 1.5483745280747432e-05, + "loss": 0.9576, + "step": 3970 + }, + { + "epoch": 0.34, + "learning_rate": 1.5481449658741112e-05, + "loss": 0.9186, + "step": 3971 + }, + { + "epoch": 0.34, + "learning_rate": 1.547915362372193e-05, + "loss": 0.9356, + "step": 3972 + }, + { + "epoch": 0.34, + "learning_rate": 1.547685717586288e-05, + "loss": 0.9501, + "step": 3973 + }, + { + "epoch": 0.34, + "learning_rate": 1.5474560315337007e-05, + "loss": 0.9529, + "step": 3974 + }, + { + "epoch": 0.34, + "learning_rate": 1.5472263042317356e-05, + "loss": 0.949, + "step": 3975 + }, + { + "epoch": 0.34, + "learning_rate": 1.5469965356977035e-05, + "loss": 0.9041, + "step": 3976 + }, + { + "epoch": 0.34, + "learning_rate": 1.5467667259489157e-05, + "loss": 0.8782, + "step": 3977 + }, + { + "epoch": 0.34, + "learning_rate": 1.5465368750026887e-05, + "loss": 0.9516, + "step": 3978 + }, + { + "epoch": 0.34, + "learning_rate": 1.5463069828763405e-05, + "loss": 0.9055, + "step": 3979 + }, + { + "epoch": 0.34, + "learning_rate": 1.546077049587193e-05, + "loss": 0.9133, + "step": 3980 + }, + { + "epoch": 0.34, + "learning_rate": 1.5458470751525716e-05, + "loss": 0.9107, + "step": 3981 + }, + { + "epoch": 0.34, + "learning_rate": 1.5456170595898033e-05, + "loss": 0.9646, + "step": 3982 + }, + { + "epoch": 0.34, + "learning_rate": 1.5453870029162202e-05, + "loss": 0.9651, + "step": 3983 + }, + { + "epoch": 0.34, + "learning_rate": 1.5451569051491558e-05, + "loss": 0.8791, + "step": 3984 + }, + { + "epoch": 0.34, + "learning_rate": 1.5449267663059476e-05, + "loss": 0.9205, + "step": 3985 + }, + { + "epoch": 0.34, + "learning_rate": 1.5446965864039357e-05, + "loss": 0.9494, + "step": 3986 + }, + { + "epoch": 0.34, + "learning_rate": 1.5444663654604643e-05, + "loss": 0.9272, + "step": 3987 + }, + { + "epoch": 0.34, + "learning_rate": 1.544236103492879e-05, + "loss": 0.8699, + "step": 3988 + }, + { + "epoch": 0.34, + "learning_rate": 1.5440058005185295e-05, + "loss": 0.938, + "step": 3989 + }, + { + "epoch": 0.34, + "learning_rate": 1.5437754565547694e-05, + "loss": 0.9033, + "step": 3990 + }, + { + "epoch": 0.34, + "learning_rate": 1.543545071618954e-05, + "loss": 0.9404, + "step": 3991 + }, + { + "epoch": 0.34, + "learning_rate": 1.543314645728442e-05, + "loss": 0.9262, + "step": 3992 + }, + { + "epoch": 0.34, + "learning_rate": 1.5430841789005956e-05, + "loss": 0.9512, + "step": 3993 + }, + { + "epoch": 0.34, + "learning_rate": 1.54285367115278e-05, + "loss": 0.9461, + "step": 3994 + }, + { + "epoch": 0.34, + "learning_rate": 1.542623122502363e-05, + "loss": 0.9559, + "step": 3995 + }, + { + "epoch": 0.34, + "learning_rate": 1.5423925329667163e-05, + "loss": 0.9014, + "step": 3996 + }, + { + "epoch": 0.34, + "learning_rate": 1.542161902563214e-05, + "loss": 0.938, + "step": 3997 + }, + { + "epoch": 0.34, + "learning_rate": 1.5419312313092328e-05, + "loss": 0.9903, + "step": 3998 + }, + { + "epoch": 0.34, + "learning_rate": 1.5417005192221542e-05, + "loss": 0.9568, + "step": 3999 + }, + { + "epoch": 0.34, + "learning_rate": 1.5414697663193616e-05, + "loss": 0.9419, + "step": 4000 + }, + { + "epoch": 0.34, + "learning_rate": 1.541238972618241e-05, + "loss": 0.951, + "step": 4001 + }, + { + "epoch": 0.34, + "learning_rate": 1.541008138136183e-05, + "loss": 0.9507, + "step": 4002 + }, + { + "epoch": 0.34, + "learning_rate": 1.5407772628905794e-05, + "loss": 0.952, + "step": 4003 + }, + { + "epoch": 0.34, + "learning_rate": 1.540546346898827e-05, + "loss": 0.9503, + "step": 4004 + }, + { + "epoch": 0.34, + "learning_rate": 1.5403153901783243e-05, + "loss": 0.9487, + "step": 4005 + }, + { + "epoch": 0.34, + "learning_rate": 1.5400843927464727e-05, + "loss": 0.9466, + "step": 4006 + }, + { + "epoch": 0.34, + "learning_rate": 1.539853354620678e-05, + "loss": 0.9386, + "step": 4007 + }, + { + "epoch": 0.34, + "learning_rate": 1.5396222758183477e-05, + "loss": 0.9266, + "step": 4008 + }, + { + "epoch": 0.34, + "learning_rate": 1.5393911563568938e-05, + "loss": 0.9179, + "step": 4009 + }, + { + "epoch": 0.34, + "learning_rate": 1.53915999625373e-05, + "loss": 0.9222, + "step": 4010 + }, + { + "epoch": 0.34, + "learning_rate": 1.538928795526274e-05, + "loss": 0.9168, + "step": 4011 + }, + { + "epoch": 0.34, + "learning_rate": 1.5386975541919457e-05, + "loss": 0.9462, + "step": 4012 + }, + { + "epoch": 0.34, + "learning_rate": 1.5384662722681688e-05, + "loss": 0.9271, + "step": 4013 + }, + { + "epoch": 0.34, + "learning_rate": 1.5382349497723693e-05, + "loss": 1.0084, + "step": 4014 + }, + { + "epoch": 0.34, + "learning_rate": 1.5380035867219776e-05, + "loss": 0.9656, + "step": 4015 + }, + { + "epoch": 0.34, + "learning_rate": 1.5377721831344258e-05, + "loss": 1.0007, + "step": 4016 + }, + { + "epoch": 0.34, + "learning_rate": 1.5375407390271492e-05, + "loss": 1.0028, + "step": 4017 + }, + { + "epoch": 0.34, + "learning_rate": 1.5373092544175875e-05, + "loss": 0.9863, + "step": 4018 + }, + { + "epoch": 0.34, + "learning_rate": 1.5370777293231814e-05, + "loss": 0.9377, + "step": 4019 + }, + { + "epoch": 0.34, + "learning_rate": 1.5368461637613762e-05, + "loss": 0.9391, + "step": 4020 + }, + { + "epoch": 0.34, + "learning_rate": 1.53661455774962e-05, + "loss": 0.9802, + "step": 4021 + }, + { + "epoch": 0.34, + "learning_rate": 1.5363829113053633e-05, + "loss": 0.9139, + "step": 4022 + }, + { + "epoch": 0.34, + "learning_rate": 1.5361512244460605e-05, + "loss": 0.961, + "step": 4023 + }, + { + "epoch": 0.34, + "learning_rate": 1.535919497189168e-05, + "loss": 0.9191, + "step": 4024 + }, + { + "epoch": 0.34, + "learning_rate": 1.535687729552146e-05, + "loss": 0.9677, + "step": 4025 + }, + { + "epoch": 0.34, + "learning_rate": 1.5354559215524577e-05, + "loss": 0.8915, + "step": 4026 + }, + { + "epoch": 0.34, + "learning_rate": 1.5352240732075694e-05, + "loss": 0.8928, + "step": 4027 + }, + { + "epoch": 0.34, + "learning_rate": 1.5349921845349504e-05, + "loss": 0.9413, + "step": 4028 + }, + { + "epoch": 0.34, + "learning_rate": 1.5347602555520725e-05, + "loss": 0.9443, + "step": 4029 + }, + { + "epoch": 0.34, + "learning_rate": 1.534528286276411e-05, + "loss": 0.9264, + "step": 4030 + }, + { + "epoch": 0.34, + "learning_rate": 1.534296276725444e-05, + "loss": 0.9318, + "step": 4031 + }, + { + "epoch": 0.34, + "learning_rate": 1.534064226916653e-05, + "loss": 0.9494, + "step": 4032 + }, + { + "epoch": 0.34, + "learning_rate": 1.5338321368675226e-05, + "loss": 0.9542, + "step": 4033 + }, + { + "epoch": 0.34, + "learning_rate": 1.53360000659554e-05, + "loss": 0.927, + "step": 4034 + }, + { + "epoch": 0.34, + "learning_rate": 1.5333678361181955e-05, + "loss": 0.9225, + "step": 4035 + }, + { + "epoch": 0.34, + "learning_rate": 1.5331356254529826e-05, + "loss": 0.9002, + "step": 4036 + }, + { + "epoch": 0.34, + "learning_rate": 1.5329033746173975e-05, + "loss": 0.9351, + "step": 4037 + }, + { + "epoch": 0.34, + "learning_rate": 1.5326710836289406e-05, + "loss": 0.9156, + "step": 4038 + }, + { + "epoch": 0.34, + "learning_rate": 1.532438752505113e-05, + "loss": 0.9352, + "step": 4039 + }, + { + "epoch": 0.34, + "learning_rate": 1.5322063812634213e-05, + "loss": 0.9734, + "step": 4040 + }, + { + "epoch": 0.34, + "learning_rate": 1.5319739699213743e-05, + "loss": 0.985, + "step": 4041 + }, + { + "epoch": 0.34, + "learning_rate": 1.5317415184964824e-05, + "loss": 0.9665, + "step": 4042 + }, + { + "epoch": 0.34, + "learning_rate": 1.5315090270062612e-05, + "loss": 0.9765, + "step": 4043 + }, + { + "epoch": 0.34, + "learning_rate": 1.531276495468228e-05, + "loss": 0.9196, + "step": 4044 + }, + { + "epoch": 0.34, + "learning_rate": 1.531043923899903e-05, + "loss": 0.9448, + "step": 4045 + }, + { + "epoch": 0.34, + "learning_rate": 1.530811312318811e-05, + "loss": 0.8861, + "step": 4046 + }, + { + "epoch": 0.34, + "learning_rate": 1.530578660742478e-05, + "loss": 0.9204, + "step": 4047 + }, + { + "epoch": 0.34, + "learning_rate": 1.5303459691884333e-05, + "loss": 0.8889, + "step": 4048 + }, + { + "epoch": 0.34, + "learning_rate": 1.5301132376742097e-05, + "loss": 0.9139, + "step": 4049 + }, + { + "epoch": 0.34, + "learning_rate": 1.529880466217344e-05, + "loss": 0.9675, + "step": 4050 + }, + { + "epoch": 0.34, + "learning_rate": 1.5296476548353734e-05, + "loss": 0.9444, + "step": 4051 + }, + { + "epoch": 0.34, + "learning_rate": 1.5294148035458406e-05, + "loss": 0.9424, + "step": 4052 + }, + { + "epoch": 0.34, + "learning_rate": 1.5291819123662897e-05, + "loss": 0.9562, + "step": 4053 + }, + { + "epoch": 0.34, + "learning_rate": 1.528948981314269e-05, + "loss": 0.9478, + "step": 4054 + }, + { + "epoch": 0.34, + "learning_rate": 1.528716010407329e-05, + "loss": 0.9249, + "step": 4055 + }, + { + "epoch": 0.34, + "learning_rate": 1.5284829996630234e-05, + "loss": 0.9664, + "step": 4056 + }, + { + "epoch": 0.34, + "learning_rate": 1.5282499490989094e-05, + "loss": 0.9512, + "step": 4057 + }, + { + "epoch": 0.34, + "learning_rate": 1.5280168587325462e-05, + "loss": 0.9905, + "step": 4058 + }, + { + "epoch": 0.34, + "learning_rate": 1.5277837285814964e-05, + "loss": 0.9205, + "step": 4059 + }, + { + "epoch": 0.34, + "learning_rate": 1.5275505586633264e-05, + "loss": 0.8971, + "step": 4060 + }, + { + "epoch": 0.34, + "learning_rate": 1.5273173489956045e-05, + "loss": 0.541, + "step": 4061 + }, + { + "epoch": 0.34, + "learning_rate": 1.5270840995959028e-05, + "loss": 0.9374, + "step": 4062 + }, + { + "epoch": 0.34, + "learning_rate": 1.5268508104817955e-05, + "loss": 0.8754, + "step": 4063 + }, + { + "epoch": 0.34, + "learning_rate": 1.5266174816708607e-05, + "loss": 0.9612, + "step": 4064 + }, + { + "epoch": 0.34, + "learning_rate": 1.526384113180679e-05, + "loss": 0.9492, + "step": 4065 + }, + { + "epoch": 0.34, + "learning_rate": 1.526150705028834e-05, + "loss": 0.9473, + "step": 4066 + }, + { + "epoch": 0.34, + "learning_rate": 1.5259172572329132e-05, + "loss": 0.9929, + "step": 4067 + }, + { + "epoch": 0.34, + "learning_rate": 1.5256837698105047e-05, + "loss": 0.9827, + "step": 4068 + }, + { + "epoch": 0.34, + "learning_rate": 1.5254502427792025e-05, + "loss": 1.0001, + "step": 4069 + }, + { + "epoch": 0.34, + "learning_rate": 1.5252166761566018e-05, + "loss": 0.9373, + "step": 4070 + }, + { + "epoch": 0.35, + "learning_rate": 1.5249830699603014e-05, + "loss": 0.9577, + "step": 4071 + }, + { + "epoch": 0.35, + "learning_rate": 1.5247494242079024e-05, + "loss": 0.96, + "step": 4072 + }, + { + "epoch": 0.35, + "learning_rate": 1.5245157389170099e-05, + "loss": 0.9462, + "step": 4073 + }, + { + "epoch": 0.35, + "learning_rate": 1.5242820141052313e-05, + "loss": 0.8889, + "step": 4074 + }, + { + "epoch": 0.35, + "learning_rate": 1.5240482497901772e-05, + "loss": 0.5374, + "step": 4075 + }, + { + "epoch": 0.35, + "learning_rate": 1.5238144459894612e-05, + "loss": 0.9544, + "step": 4076 + }, + { + "epoch": 0.35, + "learning_rate": 1.5235806027206997e-05, + "loss": 0.922, + "step": 4077 + }, + { + "epoch": 0.35, + "learning_rate": 1.523346720001512e-05, + "loss": 0.917, + "step": 4078 + }, + { + "epoch": 0.35, + "learning_rate": 1.5231127978495208e-05, + "loss": 0.9106, + "step": 4079 + }, + { + "epoch": 0.35, + "learning_rate": 1.5228788362823515e-05, + "loss": 0.93, + "step": 4080 + }, + { + "epoch": 0.35, + "learning_rate": 1.5226448353176327e-05, + "loss": 0.5844, + "step": 4081 + }, + { + "epoch": 0.35, + "learning_rate": 1.5224107949729952e-05, + "loss": 0.9394, + "step": 4082 + }, + { + "epoch": 0.35, + "learning_rate": 1.5221767152660736e-05, + "loss": 0.9623, + "step": 4083 + }, + { + "epoch": 0.35, + "learning_rate": 1.5219425962145054e-05, + "loss": 0.9212, + "step": 4084 + }, + { + "epoch": 0.35, + "learning_rate": 1.5217084378359306e-05, + "loss": 0.9794, + "step": 4085 + }, + { + "epoch": 0.35, + "learning_rate": 1.5214742401479926e-05, + "loss": 0.9091, + "step": 4086 + }, + { + "epoch": 0.35, + "learning_rate": 1.5212400031683374e-05, + "loss": 0.909, + "step": 4087 + }, + { + "epoch": 0.35, + "learning_rate": 1.5210057269146141e-05, + "loss": 0.5697, + "step": 4088 + }, + { + "epoch": 0.35, + "learning_rate": 1.5207714114044752e-05, + "loss": 0.9426, + "step": 4089 + }, + { + "epoch": 0.35, + "learning_rate": 1.5205370566555756e-05, + "loss": 0.9159, + "step": 4090 + }, + { + "epoch": 0.35, + "learning_rate": 1.5203026626855728e-05, + "loss": 0.9792, + "step": 4091 + }, + { + "epoch": 0.35, + "learning_rate": 1.5200682295121286e-05, + "loss": 0.9188, + "step": 4092 + }, + { + "epoch": 0.35, + "learning_rate": 1.519833757152906e-05, + "loss": 0.9032, + "step": 4093 + }, + { + "epoch": 0.35, + "learning_rate": 1.5195992456255728e-05, + "loss": 0.8805, + "step": 4094 + }, + { + "epoch": 0.35, + "learning_rate": 1.5193646949477983e-05, + "loss": 0.8987, + "step": 4095 + }, + { + "epoch": 0.35, + "learning_rate": 1.5191301051372554e-05, + "loss": 0.9747, + "step": 4096 + }, + { + "epoch": 0.35, + "learning_rate": 1.5188954762116197e-05, + "loss": 0.9029, + "step": 4097 + }, + { + "epoch": 0.35, + "learning_rate": 1.51866080818857e-05, + "loss": 0.9461, + "step": 4098 + }, + { + "epoch": 0.35, + "learning_rate": 1.5184261010857881e-05, + "loss": 0.9128, + "step": 4099 + }, + { + "epoch": 0.35, + "learning_rate": 1.5181913549209582e-05, + "loss": 0.903, + "step": 4100 + }, + { + "epoch": 0.35, + "learning_rate": 1.5179565697117679e-05, + "loss": 0.9259, + "step": 4101 + }, + { + "epoch": 0.35, + "learning_rate": 1.5177217454759081e-05, + "loss": 0.9164, + "step": 4102 + }, + { + "epoch": 0.35, + "learning_rate": 1.5174868822310715e-05, + "loss": 0.9996, + "step": 4103 + }, + { + "epoch": 0.35, + "learning_rate": 1.517251979994955e-05, + "loss": 0.9541, + "step": 4104 + }, + { + "epoch": 0.35, + "learning_rate": 1.5170170387852574e-05, + "loss": 0.9108, + "step": 4105 + }, + { + "epoch": 0.35, + "learning_rate": 1.516782058619681e-05, + "loss": 0.8808, + "step": 4106 + }, + { + "epoch": 0.35, + "learning_rate": 1.5165470395159314e-05, + "loss": 0.9112, + "step": 4107 + }, + { + "epoch": 0.35, + "learning_rate": 1.5163119814917162e-05, + "loss": 0.91, + "step": 4108 + }, + { + "epoch": 0.35, + "learning_rate": 1.5160768845647464e-05, + "loss": 0.9218, + "step": 4109 + }, + { + "epoch": 0.35, + "learning_rate": 1.5158417487527364e-05, + "loss": 0.9, + "step": 4110 + }, + { + "epoch": 0.35, + "learning_rate": 1.5156065740734027e-05, + "loss": 0.9385, + "step": 4111 + }, + { + "epoch": 0.35, + "learning_rate": 1.515371360544465e-05, + "loss": 0.914, + "step": 4112 + }, + { + "epoch": 0.35, + "learning_rate": 1.5151361081836461e-05, + "loss": 0.9259, + "step": 4113 + }, + { + "epoch": 0.35, + "learning_rate": 1.5149008170086722e-05, + "loss": 0.9763, + "step": 4114 + }, + { + "epoch": 0.35, + "learning_rate": 1.514665487037271e-05, + "loss": 0.9434, + "step": 4115 + }, + { + "epoch": 0.35, + "learning_rate": 1.5144301182871743e-05, + "loss": 0.9271, + "step": 4116 + }, + { + "epoch": 0.35, + "learning_rate": 1.5141947107761166e-05, + "loss": 0.9421, + "step": 4117 + }, + { + "epoch": 0.35, + "learning_rate": 1.5139592645218355e-05, + "loss": 0.992, + "step": 4118 + }, + { + "epoch": 0.35, + "learning_rate": 1.5137237795420707e-05, + "loss": 0.9397, + "step": 4119 + }, + { + "epoch": 0.35, + "learning_rate": 1.513488255854566e-05, + "loss": 0.91, + "step": 4120 + }, + { + "epoch": 0.35, + "learning_rate": 1.513252693477067e-05, + "loss": 0.9389, + "step": 4121 + }, + { + "epoch": 0.35, + "learning_rate": 1.5130170924273229e-05, + "loss": 0.9287, + "step": 4122 + }, + { + "epoch": 0.35, + "learning_rate": 1.5127814527230858e-05, + "loss": 0.9161, + "step": 4123 + }, + { + "epoch": 0.35, + "learning_rate": 1.5125457743821098e-05, + "loss": 0.9517, + "step": 4124 + }, + { + "epoch": 0.35, + "learning_rate": 1.5123100574221537e-05, + "loss": 1.0113, + "step": 4125 + }, + { + "epoch": 0.35, + "learning_rate": 1.5120743018609773e-05, + "loss": 0.9282, + "step": 4126 + }, + { + "epoch": 0.35, + "learning_rate": 1.5118385077163446e-05, + "loss": 0.9353, + "step": 4127 + }, + { + "epoch": 0.35, + "learning_rate": 1.5116026750060223e-05, + "loss": 0.9115, + "step": 4128 + }, + { + "epoch": 0.35, + "learning_rate": 1.5113668037477789e-05, + "loss": 0.9207, + "step": 4129 + }, + { + "epoch": 0.35, + "learning_rate": 1.5111308939593876e-05, + "loss": 0.9102, + "step": 4130 + }, + { + "epoch": 0.35, + "learning_rate": 1.510894945658623e-05, + "loss": 0.9093, + "step": 4131 + }, + { + "epoch": 0.35, + "learning_rate": 1.5106589588632636e-05, + "loss": 0.9221, + "step": 4132 + }, + { + "epoch": 0.35, + "learning_rate": 1.5104229335910901e-05, + "loss": 0.9061, + "step": 4133 + }, + { + "epoch": 0.35, + "learning_rate": 1.5101868698598867e-05, + "loss": 0.949, + "step": 4134 + }, + { + "epoch": 0.35, + "learning_rate": 1.5099507676874397e-05, + "loss": 0.8787, + "step": 4135 + }, + { + "epoch": 0.35, + "learning_rate": 1.5097146270915391e-05, + "loss": 0.9177, + "step": 4136 + }, + { + "epoch": 0.35, + "learning_rate": 1.5094784480899774e-05, + "loss": 0.9416, + "step": 4137 + }, + { + "epoch": 0.35, + "learning_rate": 1.50924223070055e-05, + "loss": 0.9902, + "step": 4138 + }, + { + "epoch": 0.35, + "learning_rate": 1.5090059749410553e-05, + "loss": 0.8943, + "step": 4139 + }, + { + "epoch": 0.35, + "learning_rate": 1.5087696808292947e-05, + "loss": 0.9255, + "step": 4140 + }, + { + "epoch": 0.35, + "learning_rate": 1.5085333483830721e-05, + "loss": 0.8981, + "step": 4141 + }, + { + "epoch": 0.35, + "learning_rate": 1.5082969776201948e-05, + "loss": 0.8801, + "step": 4142 + }, + { + "epoch": 0.35, + "learning_rate": 1.5080605685584723e-05, + "loss": 0.9585, + "step": 4143 + }, + { + "epoch": 0.35, + "learning_rate": 1.507824121215718e-05, + "loss": 0.907, + "step": 4144 + }, + { + "epoch": 0.35, + "learning_rate": 1.5075876356097472e-05, + "loss": 0.8754, + "step": 4145 + }, + { + "epoch": 0.35, + "learning_rate": 1.5073511117583786e-05, + "loss": 0.9463, + "step": 4146 + }, + { + "epoch": 0.35, + "learning_rate": 1.5071145496794338e-05, + "loss": 0.5075, + "step": 4147 + }, + { + "epoch": 0.35, + "learning_rate": 1.5068779493907364e-05, + "loss": 0.9291, + "step": 4148 + }, + { + "epoch": 0.35, + "learning_rate": 1.5066413109101143e-05, + "loss": 0.8927, + "step": 4149 + }, + { + "epoch": 0.35, + "learning_rate": 1.5064046342553976e-05, + "loss": 0.9361, + "step": 4150 + }, + { + "epoch": 0.35, + "learning_rate": 1.506167919444419e-05, + "loss": 0.9598, + "step": 4151 + }, + { + "epoch": 0.35, + "learning_rate": 1.5059311664950146e-05, + "loss": 0.9617, + "step": 4152 + }, + { + "epoch": 0.35, + "learning_rate": 1.5056943754250226e-05, + "loss": 0.9704, + "step": 4153 + }, + { + "epoch": 0.35, + "learning_rate": 1.505457546252285e-05, + "loss": 0.8867, + "step": 4154 + }, + { + "epoch": 0.35, + "learning_rate": 1.5052206789946467e-05, + "loss": 0.9282, + "step": 4155 + }, + { + "epoch": 0.35, + "learning_rate": 1.5049837736699542e-05, + "loss": 0.9, + "step": 4156 + }, + { + "epoch": 0.35, + "learning_rate": 1.5047468302960577e-05, + "loss": 0.8946, + "step": 4157 + }, + { + "epoch": 0.35, + "learning_rate": 1.5045098488908107e-05, + "loss": 0.8893, + "step": 4158 + }, + { + "epoch": 0.35, + "learning_rate": 1.5042728294720692e-05, + "loss": 0.9806, + "step": 4159 + }, + { + "epoch": 0.35, + "learning_rate": 1.5040357720576917e-05, + "loss": 0.9486, + "step": 4160 + }, + { + "epoch": 0.35, + "learning_rate": 1.50379867666554e-05, + "loss": 0.9411, + "step": 4161 + }, + { + "epoch": 0.35, + "learning_rate": 1.5035615433134787e-05, + "loss": 0.9415, + "step": 4162 + }, + { + "epoch": 0.35, + "learning_rate": 1.5033243720193746e-05, + "loss": 0.971, + "step": 4163 + }, + { + "epoch": 0.35, + "learning_rate": 1.5030871628010987e-05, + "loss": 0.9821, + "step": 4164 + }, + { + "epoch": 0.35, + "learning_rate": 1.502849915676524e-05, + "loss": 0.9203, + "step": 4165 + }, + { + "epoch": 0.35, + "learning_rate": 1.5026126306635256e-05, + "loss": 0.9392, + "step": 4166 + }, + { + "epoch": 0.35, + "learning_rate": 1.5023753077799834e-05, + "loss": 0.5909, + "step": 4167 + }, + { + "epoch": 0.35, + "learning_rate": 1.5021379470437785e-05, + "loss": 0.9491, + "step": 4168 + }, + { + "epoch": 0.35, + "learning_rate": 1.5019005484727953e-05, + "loss": 0.5564, + "step": 4169 + }, + { + "epoch": 0.35, + "learning_rate": 1.5016631120849217e-05, + "loss": 0.9153, + "step": 4170 + }, + { + "epoch": 0.35, + "learning_rate": 1.5014256378980471e-05, + "loss": 0.9534, + "step": 4171 + }, + { + "epoch": 0.35, + "learning_rate": 1.5011881259300654e-05, + "loss": 0.9178, + "step": 4172 + }, + { + "epoch": 0.35, + "learning_rate": 1.5009505761988718e-05, + "loss": 0.9272, + "step": 4173 + }, + { + "epoch": 0.35, + "learning_rate": 1.5007129887223654e-05, + "loss": 0.9377, + "step": 4174 + }, + { + "epoch": 0.35, + "learning_rate": 1.5004753635184482e-05, + "loss": 0.9323, + "step": 4175 + }, + { + "epoch": 0.35, + "learning_rate": 1.5002377006050242e-05, + "loss": 0.9467, + "step": 4176 + }, + { + "epoch": 0.35, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.9711, + "step": 4177 + }, + { + "epoch": 0.35, + "learning_rate": 1.499762261721287e-05, + "loss": 0.9292, + "step": 4178 + }, + { + "epoch": 0.35, + "learning_rate": 1.4995244857867973e-05, + "loss": 0.8948, + "step": 4179 + }, + { + "epoch": 0.35, + "learning_rate": 1.499286672214447e-05, + "loss": 0.9759, + "step": 4180 + }, + { + "epoch": 0.35, + "learning_rate": 1.4990488210221545e-05, + "loss": 0.899, + "step": 4181 + }, + { + "epoch": 0.35, + "learning_rate": 1.4988109322278417e-05, + "loss": 0.9137, + "step": 4182 + }, + { + "epoch": 0.35, + "learning_rate": 1.4985730058494325e-05, + "loss": 0.9678, + "step": 4183 + }, + { + "epoch": 0.35, + "learning_rate": 1.4983350419048544e-05, + "loss": 0.9176, + "step": 4184 + }, + { + "epoch": 0.35, + "learning_rate": 1.4980970404120367e-05, + "loss": 0.9774, + "step": 4185 + }, + { + "epoch": 0.35, + "learning_rate": 1.497859001388913e-05, + "loss": 0.9414, + "step": 4186 + }, + { + "epoch": 0.35, + "learning_rate": 1.4976209248534183e-05, + "loss": 0.93, + "step": 4187 + }, + { + "epoch": 0.35, + "learning_rate": 1.4973828108234914e-05, + "loss": 0.9582, + "step": 4188 + }, + { + "epoch": 0.36, + "learning_rate": 1.4971446593170733e-05, + "loss": 0.9292, + "step": 4189 + }, + { + "epoch": 0.36, + "learning_rate": 1.4969064703521082e-05, + "loss": 0.886, + "step": 4190 + }, + { + "epoch": 0.36, + "learning_rate": 1.4966682439465432e-05, + "loss": 0.5775, + "step": 4191 + }, + { + "epoch": 0.36, + "learning_rate": 1.4964299801183278e-05, + "loss": 0.8678, + "step": 4192 + }, + { + "epoch": 0.36, + "learning_rate": 1.4961916788854147e-05, + "loss": 0.9243, + "step": 4193 + }, + { + "epoch": 0.36, + "learning_rate": 1.4959533402657591e-05, + "loss": 0.9456, + "step": 4194 + }, + { + "epoch": 0.36, + "learning_rate": 1.4957149642773195e-05, + "loss": 0.9289, + "step": 4195 + }, + { + "epoch": 0.36, + "learning_rate": 1.4954765509380565e-05, + "loss": 0.9238, + "step": 4196 + }, + { + "epoch": 0.36, + "learning_rate": 1.4952381002659344e-05, + "loss": 0.9489, + "step": 4197 + }, + { + "epoch": 0.36, + "learning_rate": 1.4949996122789193e-05, + "loss": 0.9226, + "step": 4198 + }, + { + "epoch": 0.36, + "learning_rate": 1.4947610869949811e-05, + "loss": 0.9226, + "step": 4199 + }, + { + "epoch": 0.36, + "learning_rate": 1.4945225244320916e-05, + "loss": 0.9646, + "step": 4200 + }, + { + "epoch": 0.36, + "learning_rate": 1.4942839246082264e-05, + "loss": 0.9485, + "step": 4201 + }, + { + "epoch": 0.36, + "learning_rate": 1.4940452875413627e-05, + "loss": 0.9528, + "step": 4202 + }, + { + "epoch": 0.36, + "learning_rate": 1.493806613249482e-05, + "loss": 0.9122, + "step": 4203 + }, + { + "epoch": 0.36, + "learning_rate": 1.4935679017505671e-05, + "loss": 0.9358, + "step": 4204 + }, + { + "epoch": 0.36, + "learning_rate": 1.4933291530626047e-05, + "loss": 0.9527, + "step": 4205 + }, + { + "epoch": 0.36, + "learning_rate": 1.4930903672035835e-05, + "loss": 0.9061, + "step": 4206 + }, + { + "epoch": 0.36, + "learning_rate": 1.492851544191496e-05, + "loss": 0.9322, + "step": 4207 + }, + { + "epoch": 0.36, + "learning_rate": 1.492612684044336e-05, + "loss": 0.9434, + "step": 4208 + }, + { + "epoch": 0.36, + "learning_rate": 1.4923737867801018e-05, + "loss": 0.8712, + "step": 4209 + }, + { + "epoch": 0.36, + "learning_rate": 1.4921348524167934e-05, + "loss": 0.961, + "step": 4210 + }, + { + "epoch": 0.36, + "learning_rate": 1.4918958809724135e-05, + "loss": 0.964, + "step": 4211 + }, + { + "epoch": 0.36, + "learning_rate": 1.4916568724649688e-05, + "loss": 0.9342, + "step": 4212 + }, + { + "epoch": 0.36, + "learning_rate": 1.491417826912467e-05, + "loss": 0.5095, + "step": 4213 + }, + { + "epoch": 0.36, + "learning_rate": 1.4911787443329204e-05, + "loss": 0.9313, + "step": 4214 + }, + { + "epoch": 0.36, + "learning_rate": 1.4909396247443429e-05, + "loss": 0.9407, + "step": 4215 + }, + { + "epoch": 0.36, + "learning_rate": 1.4907004681647515e-05, + "loss": 0.9155, + "step": 4216 + }, + { + "epoch": 0.36, + "learning_rate": 1.4904612746121657e-05, + "loss": 0.9518, + "step": 4217 + }, + { + "epoch": 0.36, + "learning_rate": 1.4902220441046089e-05, + "loss": 0.5944, + "step": 4218 + }, + { + "epoch": 0.36, + "learning_rate": 1.489982776660106e-05, + "loss": 0.9002, + "step": 4219 + }, + { + "epoch": 0.36, + "learning_rate": 1.4897434722966851e-05, + "loss": 0.8893, + "step": 4220 + }, + { + "epoch": 0.36, + "learning_rate": 1.4895041310323772e-05, + "loss": 0.971, + "step": 4221 + }, + { + "epoch": 0.36, + "learning_rate": 1.489264752885216e-05, + "loss": 0.9285, + "step": 4222 + }, + { + "epoch": 0.36, + "learning_rate": 1.4890253378732385e-05, + "loss": 0.9388, + "step": 4223 + }, + { + "epoch": 0.36, + "learning_rate": 1.4887858860144833e-05, + "loss": 0.9773, + "step": 4224 + }, + { + "epoch": 0.36, + "learning_rate": 1.4885463973269929e-05, + "loss": 0.9234, + "step": 4225 + }, + { + "epoch": 0.36, + "learning_rate": 1.4883068718288121e-05, + "loss": 0.9199, + "step": 4226 + }, + { + "epoch": 0.36, + "learning_rate": 1.4880673095379883e-05, + "loss": 0.9751, + "step": 4227 + }, + { + "epoch": 0.36, + "learning_rate": 1.4878277104725722e-05, + "loss": 0.931, + "step": 4228 + }, + { + "epoch": 0.36, + "learning_rate": 1.4875880746506169e-05, + "loss": 0.9693, + "step": 4229 + }, + { + "epoch": 0.36, + "learning_rate": 1.4873484020901778e-05, + "loss": 0.9156, + "step": 4230 + }, + { + "epoch": 0.36, + "learning_rate": 1.4871086928093142e-05, + "loss": 0.9337, + "step": 4231 + }, + { + "epoch": 0.36, + "learning_rate": 1.4868689468260876e-05, + "loss": 0.9963, + "step": 4232 + }, + { + "epoch": 0.36, + "learning_rate": 1.486629164158562e-05, + "loss": 0.9301, + "step": 4233 + }, + { + "epoch": 0.36, + "learning_rate": 1.4863893448248043e-05, + "loss": 0.9141, + "step": 4234 + }, + { + "epoch": 0.36, + "learning_rate": 1.4861494888428845e-05, + "loss": 0.9571, + "step": 4235 + }, + { + "epoch": 0.36, + "learning_rate": 1.4859095962308749e-05, + "loss": 0.9171, + "step": 4236 + }, + { + "epoch": 0.36, + "learning_rate": 1.4856696670068508e-05, + "loss": 0.8651, + "step": 4237 + }, + { + "epoch": 0.36, + "learning_rate": 1.4854297011888905e-05, + "loss": 0.9043, + "step": 4238 + }, + { + "epoch": 0.36, + "learning_rate": 1.4851896987950749e-05, + "loss": 0.8992, + "step": 4239 + }, + { + "epoch": 0.36, + "learning_rate": 1.4849496598434869e-05, + "loss": 0.9131, + "step": 4240 + }, + { + "epoch": 0.36, + "learning_rate": 1.4847095843522133e-05, + "loss": 0.9883, + "step": 4241 + }, + { + "epoch": 0.36, + "learning_rate": 1.4844694723393429e-05, + "loss": 0.9675, + "step": 4242 + }, + { + "epoch": 0.36, + "learning_rate": 1.4842293238229678e-05, + "loss": 0.9533, + "step": 4243 + }, + { + "epoch": 0.36, + "learning_rate": 1.4839891388211822e-05, + "loss": 0.909, + "step": 4244 + }, + { + "epoch": 0.36, + "learning_rate": 1.4837489173520838e-05, + "loss": 0.9146, + "step": 4245 + }, + { + "epoch": 0.36, + "learning_rate": 1.4835086594337725e-05, + "loss": 0.9135, + "step": 4246 + }, + { + "epoch": 0.36, + "learning_rate": 1.483268365084351e-05, + "loss": 0.9595, + "step": 4247 + }, + { + "epoch": 0.36, + "learning_rate": 1.4830280343219247e-05, + "loss": 0.9274, + "step": 4248 + }, + { + "epoch": 0.36, + "learning_rate": 1.4827876671646026e-05, + "loss": 0.946, + "step": 4249 + }, + { + "epoch": 0.36, + "learning_rate": 1.4825472636304952e-05, + "loss": 0.9126, + "step": 4250 + }, + { + "epoch": 0.36, + "learning_rate": 1.4823068237377161e-05, + "loss": 0.9366, + "step": 4251 + }, + { + "epoch": 0.36, + "learning_rate": 1.4820663475043818e-05, + "loss": 0.9222, + "step": 4252 + }, + { + "epoch": 0.36, + "learning_rate": 1.4818258349486121e-05, + "loss": 0.9216, + "step": 4253 + }, + { + "epoch": 0.36, + "learning_rate": 1.4815852860885287e-05, + "loss": 0.9011, + "step": 4254 + }, + { + "epoch": 0.36, + "learning_rate": 1.4813447009422564e-05, + "loss": 0.9199, + "step": 4255 + }, + { + "epoch": 0.36, + "learning_rate": 1.4811040795279223e-05, + "loss": 0.956, + "step": 4256 + }, + { + "epoch": 0.36, + "learning_rate": 1.480863421863657e-05, + "loss": 0.9356, + "step": 4257 + }, + { + "epoch": 0.36, + "learning_rate": 1.4806227279675933e-05, + "loss": 0.946, + "step": 4258 + }, + { + "epoch": 0.36, + "learning_rate": 1.480381997857867e-05, + "loss": 0.947, + "step": 4259 + }, + { + "epoch": 0.36, + "learning_rate": 1.4801412315526164e-05, + "loss": 0.5727, + "step": 4260 + }, + { + "epoch": 0.36, + "learning_rate": 1.4799004290699825e-05, + "loss": 0.9373, + "step": 4261 + }, + { + "epoch": 0.36, + "learning_rate": 1.479659590428109e-05, + "loss": 0.6513, + "step": 4262 + }, + { + "epoch": 0.36, + "learning_rate": 1.4794187156451428e-05, + "loss": 0.9278, + "step": 4263 + }, + { + "epoch": 0.36, + "learning_rate": 1.479177804739233e-05, + "loss": 0.9435, + "step": 4264 + }, + { + "epoch": 0.36, + "learning_rate": 1.4789368577285314e-05, + "loss": 0.9407, + "step": 4265 + }, + { + "epoch": 0.36, + "learning_rate": 1.4786958746311932e-05, + "loss": 0.9433, + "step": 4266 + }, + { + "epoch": 0.36, + "learning_rate": 1.4784548554653756e-05, + "loss": 1.0098, + "step": 4267 + }, + { + "epoch": 0.36, + "learning_rate": 1.4782138002492385e-05, + "loss": 0.9394, + "step": 4268 + }, + { + "epoch": 0.36, + "learning_rate": 1.4779727090009452e-05, + "loss": 0.9027, + "step": 4269 + }, + { + "epoch": 0.36, + "learning_rate": 1.4777315817386616e-05, + "loss": 0.9554, + "step": 4270 + }, + { + "epoch": 0.36, + "learning_rate": 1.477490418480555e-05, + "loss": 0.9669, + "step": 4271 + }, + { + "epoch": 0.36, + "learning_rate": 1.4772492192447969e-05, + "loss": 0.6318, + "step": 4272 + }, + { + "epoch": 0.36, + "learning_rate": 1.4770079840495615e-05, + "loss": 0.9152, + "step": 4273 + }, + { + "epoch": 0.36, + "learning_rate": 1.4767667129130243e-05, + "loss": 0.9288, + "step": 4274 + }, + { + "epoch": 0.36, + "learning_rate": 1.4765254058533651e-05, + "loss": 0.9292, + "step": 4275 + }, + { + "epoch": 0.36, + "learning_rate": 1.4762840628887658e-05, + "loss": 0.9352, + "step": 4276 + }, + { + "epoch": 0.36, + "learning_rate": 1.476042684037411e-05, + "loss": 0.9553, + "step": 4277 + }, + { + "epoch": 0.36, + "learning_rate": 1.4758012693174875e-05, + "loss": 0.9858, + "step": 4278 + }, + { + "epoch": 0.36, + "learning_rate": 1.4755598187471853e-05, + "loss": 0.9436, + "step": 4279 + }, + { + "epoch": 0.36, + "learning_rate": 1.4753183323446978e-05, + "loss": 0.9223, + "step": 4280 + }, + { + "epoch": 0.36, + "learning_rate": 1.4750768101282198e-05, + "loss": 0.9383, + "step": 4281 + }, + { + "epoch": 0.36, + "learning_rate": 1.4748352521159492e-05, + "loss": 0.9522, + "step": 4282 + }, + { + "epoch": 0.36, + "learning_rate": 1.474593658326087e-05, + "loss": 0.9053, + "step": 4283 + }, + { + "epoch": 0.36, + "learning_rate": 1.4743520287768366e-05, + "loss": 0.9468, + "step": 4284 + }, + { + "epoch": 0.36, + "learning_rate": 1.4741103634864042e-05, + "loss": 0.9635, + "step": 4285 + }, + { + "epoch": 0.36, + "learning_rate": 1.4738686624729987e-05, + "loss": 0.8989, + "step": 4286 + }, + { + "epoch": 0.36, + "learning_rate": 1.4736269257548316e-05, + "loss": 0.9536, + "step": 4287 + }, + { + "epoch": 0.36, + "learning_rate": 1.4733851533501172e-05, + "loss": 0.9221, + "step": 4288 + }, + { + "epoch": 0.36, + "learning_rate": 1.4731433452770723e-05, + "loss": 0.9618, + "step": 4289 + }, + { + "epoch": 0.36, + "learning_rate": 1.4729015015539165e-05, + "loss": 0.976, + "step": 4290 + }, + { + "epoch": 0.36, + "learning_rate": 1.4726596221988722e-05, + "loss": 0.9323, + "step": 4291 + }, + { + "epoch": 0.36, + "learning_rate": 1.4724177072301642e-05, + "loss": 0.9168, + "step": 4292 + }, + { + "epoch": 0.36, + "learning_rate": 1.4721757566660203e-05, + "loss": 0.906, + "step": 4293 + }, + { + "epoch": 0.36, + "learning_rate": 1.4719337705246707e-05, + "loss": 0.946, + "step": 4294 + }, + { + "epoch": 0.36, + "learning_rate": 1.4716917488243485e-05, + "loss": 0.9358, + "step": 4295 + }, + { + "epoch": 0.36, + "learning_rate": 1.4714496915832892e-05, + "loss": 0.9351, + "step": 4296 + }, + { + "epoch": 0.36, + "learning_rate": 1.4712075988197318e-05, + "loss": 0.8978, + "step": 4297 + }, + { + "epoch": 0.36, + "learning_rate": 1.4709654705519168e-05, + "loss": 0.935, + "step": 4298 + }, + { + "epoch": 0.36, + "learning_rate": 1.4707233067980881e-05, + "loss": 0.9478, + "step": 4299 + }, + { + "epoch": 0.36, + "learning_rate": 1.4704811075764922e-05, + "loss": 0.9093, + "step": 4300 + }, + { + "epoch": 0.36, + "learning_rate": 1.470238872905378e-05, + "loss": 0.9615, + "step": 4301 + }, + { + "epoch": 0.36, + "learning_rate": 1.4699966028029976e-05, + "loss": 0.9262, + "step": 4302 + }, + { + "epoch": 0.36, + "learning_rate": 1.4697542972876047e-05, + "loss": 0.9732, + "step": 4303 + }, + { + "epoch": 0.36, + "learning_rate": 1.4695119563774568e-05, + "loss": 0.884, + "step": 4304 + }, + { + "epoch": 0.36, + "learning_rate": 1.469269580090814e-05, + "loss": 0.9475, + "step": 4305 + }, + { + "epoch": 0.36, + "learning_rate": 1.469027168445938e-05, + "loss": 0.8994, + "step": 4306 + }, + { + "epoch": 0.37, + "learning_rate": 1.4687847214610944e-05, + "loss": 0.8973, + "step": 4307 + }, + { + "epoch": 0.37, + "learning_rate": 1.468542239154551e-05, + "loss": 0.9806, + "step": 4308 + }, + { + "epoch": 0.37, + "learning_rate": 1.468299721544578e-05, + "loss": 0.9412, + "step": 4309 + }, + { + "epoch": 0.37, + "learning_rate": 1.4680571686494483e-05, + "loss": 0.977, + "step": 4310 + }, + { + "epoch": 0.37, + "learning_rate": 1.4678145804874377e-05, + "loss": 0.9596, + "step": 4311 + }, + { + "epoch": 0.37, + "learning_rate": 1.4675719570768252e-05, + "loss": 0.9085, + "step": 4312 + }, + { + "epoch": 0.37, + "learning_rate": 1.4673292984358911e-05, + "loss": 0.9564, + "step": 4313 + }, + { + "epoch": 0.37, + "learning_rate": 1.4670866045829191e-05, + "loss": 0.9232, + "step": 4314 + }, + { + "epoch": 0.37, + "learning_rate": 1.466843875536196e-05, + "loss": 0.9692, + "step": 4315 + }, + { + "epoch": 0.37, + "learning_rate": 1.4666011113140103e-05, + "loss": 0.9572, + "step": 4316 + }, + { + "epoch": 0.37, + "learning_rate": 1.466358311934654e-05, + "loss": 0.934, + "step": 4317 + }, + { + "epoch": 0.37, + "learning_rate": 1.4661154774164213e-05, + "loss": 0.9186, + "step": 4318 + }, + { + "epoch": 0.37, + "learning_rate": 1.4658726077776093e-05, + "loss": 0.9485, + "step": 4319 + }, + { + "epoch": 0.37, + "learning_rate": 1.4656297030365175e-05, + "loss": 1.0001, + "step": 4320 + }, + { + "epoch": 0.37, + "learning_rate": 1.4653867632114478e-05, + "loss": 0.9417, + "step": 4321 + }, + { + "epoch": 0.37, + "learning_rate": 1.4651437883207056e-05, + "loss": 0.9672, + "step": 4322 + }, + { + "epoch": 0.37, + "learning_rate": 1.464900778382598e-05, + "loss": 0.9531, + "step": 4323 + }, + { + "epoch": 0.37, + "learning_rate": 1.4646577334154355e-05, + "loss": 0.923, + "step": 4324 + }, + { + "epoch": 0.37, + "learning_rate": 1.4644146534375307e-05, + "loss": 0.8964, + "step": 4325 + }, + { + "epoch": 0.37, + "learning_rate": 1.464171538467199e-05, + "loss": 0.9405, + "step": 4326 + }, + { + "epoch": 0.37, + "learning_rate": 1.4639283885227586e-05, + "loss": 0.9448, + "step": 4327 + }, + { + "epoch": 0.37, + "learning_rate": 1.4636852036225304e-05, + "loss": 0.9599, + "step": 4328 + }, + { + "epoch": 0.37, + "learning_rate": 1.4634419837848373e-05, + "loss": 0.9322, + "step": 4329 + }, + { + "epoch": 0.37, + "learning_rate": 1.4631987290280054e-05, + "loss": 0.9171, + "step": 4330 + }, + { + "epoch": 0.37, + "learning_rate": 1.4629554393703635e-05, + "loss": 0.9231, + "step": 4331 + }, + { + "epoch": 0.37, + "learning_rate": 1.4627121148302428e-05, + "loss": 0.9178, + "step": 4332 + }, + { + "epoch": 0.37, + "learning_rate": 1.4624687554259773e-05, + "loss": 0.9214, + "step": 4333 + }, + { + "epoch": 0.37, + "learning_rate": 1.462225361175903e-05, + "loss": 0.9306, + "step": 4334 + }, + { + "epoch": 0.37, + "learning_rate": 1.4619819320983593e-05, + "loss": 0.934, + "step": 4335 + }, + { + "epoch": 0.37, + "learning_rate": 1.4617384682116882e-05, + "loss": 0.923, + "step": 4336 + }, + { + "epoch": 0.37, + "learning_rate": 1.4614949695342335e-05, + "loss": 0.9318, + "step": 4337 + }, + { + "epoch": 0.37, + "learning_rate": 1.4612514360843426e-05, + "loss": 0.8914, + "step": 4338 + }, + { + "epoch": 0.37, + "learning_rate": 1.4610078678803651e-05, + "loss": 0.9347, + "step": 4339 + }, + { + "epoch": 0.37, + "learning_rate": 1.4607642649406529e-05, + "loss": 0.9119, + "step": 4340 + }, + { + "epoch": 0.37, + "learning_rate": 1.4605206272835614e-05, + "loss": 0.9214, + "step": 4341 + }, + { + "epoch": 0.37, + "learning_rate": 1.4602769549274477e-05, + "loss": 0.9424, + "step": 4342 + }, + { + "epoch": 0.37, + "learning_rate": 1.4600332478906718e-05, + "loss": 0.9288, + "step": 4343 + }, + { + "epoch": 0.37, + "learning_rate": 1.4597895061915968e-05, + "loss": 0.9289, + "step": 4344 + }, + { + "epoch": 0.37, + "learning_rate": 1.4595457298485873e-05, + "loss": 0.9431, + "step": 4345 + }, + { + "epoch": 0.37, + "learning_rate": 1.459301918880012e-05, + "loss": 0.9109, + "step": 4346 + }, + { + "epoch": 0.37, + "learning_rate": 1.4590580733042408e-05, + "loss": 0.9291, + "step": 4347 + }, + { + "epoch": 0.37, + "learning_rate": 1.458814193139647e-05, + "loss": 0.9587, + "step": 4348 + }, + { + "epoch": 0.37, + "learning_rate": 1.4585702784046065e-05, + "loss": 0.929, + "step": 4349 + }, + { + "epoch": 0.37, + "learning_rate": 1.4583263291174974e-05, + "loss": 0.905, + "step": 4350 + }, + { + "epoch": 0.37, + "learning_rate": 1.458082345296701e-05, + "loss": 0.5237, + "step": 4351 + }, + { + "epoch": 0.37, + "learning_rate": 1.4578383269606004e-05, + "loss": 0.9561, + "step": 4352 + }, + { + "epoch": 0.37, + "learning_rate": 1.4575942741275819e-05, + "loss": 0.5217, + "step": 4353 + }, + { + "epoch": 0.37, + "learning_rate": 1.4573501868160347e-05, + "loss": 0.9303, + "step": 4354 + }, + { + "epoch": 0.37, + "learning_rate": 1.4571060650443494e-05, + "loss": 0.8763, + "step": 4355 + }, + { + "epoch": 0.37, + "learning_rate": 1.4568619088309204e-05, + "loss": 0.9003, + "step": 4356 + }, + { + "epoch": 0.37, + "learning_rate": 1.4566177181941439e-05, + "loss": 0.9083, + "step": 4357 + }, + { + "epoch": 0.37, + "learning_rate": 1.4563734931524191e-05, + "loss": 0.9349, + "step": 4358 + }, + { + "epoch": 0.37, + "learning_rate": 1.4561292337241481e-05, + "loss": 0.5032, + "step": 4359 + }, + { + "epoch": 0.37, + "learning_rate": 1.4558849399277348e-05, + "loss": 0.9363, + "step": 4360 + }, + { + "epoch": 0.37, + "learning_rate": 1.4556406117815864e-05, + "loss": 0.9548, + "step": 4361 + }, + { + "epoch": 0.37, + "learning_rate": 1.455396249304112e-05, + "loss": 0.9684, + "step": 4362 + }, + { + "epoch": 0.37, + "learning_rate": 1.4551518525137241e-05, + "loss": 0.5235, + "step": 4363 + }, + { + "epoch": 0.37, + "learning_rate": 1.4549074214288368e-05, + "loss": 0.9526, + "step": 4364 + }, + { + "epoch": 0.37, + "learning_rate": 1.4546629560678682e-05, + "loss": 0.9539, + "step": 4365 + }, + { + "epoch": 0.37, + "learning_rate": 1.4544184564492373e-05, + "loss": 0.9089, + "step": 4366 + }, + { + "epoch": 0.37, + "learning_rate": 1.4541739225913669e-05, + "loss": 0.9289, + "step": 4367 + }, + { + "epoch": 0.37, + "learning_rate": 1.453929354512682e-05, + "loss": 0.6859, + "step": 4368 + }, + { + "epoch": 0.37, + "learning_rate": 1.45368475223161e-05, + "loss": 0.87, + "step": 4369 + }, + { + "epoch": 0.37, + "learning_rate": 1.4534401157665812e-05, + "loss": 0.9558, + "step": 4370 + }, + { + "epoch": 0.37, + "learning_rate": 1.4531954451360281e-05, + "loss": 0.9474, + "step": 4371 + }, + { + "epoch": 0.37, + "learning_rate": 1.4529507403583862e-05, + "loss": 0.9343, + "step": 4372 + }, + { + "epoch": 0.37, + "learning_rate": 1.4527060014520932e-05, + "loss": 0.8781, + "step": 4373 + }, + { + "epoch": 0.37, + "learning_rate": 1.4524612284355897e-05, + "loss": 0.8955, + "step": 4374 + }, + { + "epoch": 0.37, + "learning_rate": 1.4522164213273187e-05, + "loss": 0.9357, + "step": 4375 + }, + { + "epoch": 0.37, + "learning_rate": 1.4519715801457256e-05, + "loss": 0.9237, + "step": 4376 + }, + { + "epoch": 0.37, + "learning_rate": 1.4517267049092585e-05, + "loss": 0.5617, + "step": 4377 + }, + { + "epoch": 0.37, + "learning_rate": 1.4514817956363684e-05, + "loss": 0.8634, + "step": 4378 + }, + { + "epoch": 0.37, + "learning_rate": 1.4512368523455085e-05, + "loss": 0.9343, + "step": 4379 + }, + { + "epoch": 0.37, + "learning_rate": 1.4509918750551343e-05, + "loss": 0.9618, + "step": 4380 + }, + { + "epoch": 0.37, + "learning_rate": 1.4507468637837048e-05, + "loss": 0.9532, + "step": 4381 + }, + { + "epoch": 0.37, + "learning_rate": 1.4505018185496802e-05, + "loss": 0.9809, + "step": 4382 + }, + { + "epoch": 0.37, + "learning_rate": 1.4502567393715246e-05, + "loss": 0.937, + "step": 4383 + }, + { + "epoch": 0.37, + "learning_rate": 1.4500116262677037e-05, + "loss": 0.9614, + "step": 4384 + }, + { + "epoch": 0.37, + "learning_rate": 1.4497664792566865e-05, + "loss": 0.9381, + "step": 4385 + }, + { + "epoch": 0.37, + "learning_rate": 1.4495212983569445e-05, + "loss": 0.9056, + "step": 4386 + }, + { + "epoch": 0.37, + "learning_rate": 1.4492760835869504e-05, + "loss": 0.9284, + "step": 4387 + }, + { + "epoch": 0.37, + "learning_rate": 1.4490308349651812e-05, + "loss": 0.944, + "step": 4388 + }, + { + "epoch": 0.37, + "learning_rate": 1.4487855525101156e-05, + "loss": 0.93, + "step": 4389 + }, + { + "epoch": 0.37, + "learning_rate": 1.4485402362402348e-05, + "loss": 0.9171, + "step": 4390 + }, + { + "epoch": 0.37, + "learning_rate": 1.4482948861740229e-05, + "loss": 0.893, + "step": 4391 + }, + { + "epoch": 0.37, + "learning_rate": 1.4480495023299665e-05, + "loss": 0.9648, + "step": 4392 + }, + { + "epoch": 0.37, + "learning_rate": 1.4478040847265546e-05, + "loss": 0.9419, + "step": 4393 + }, + { + "epoch": 0.37, + "learning_rate": 1.4475586333822787e-05, + "loss": 0.9309, + "step": 4394 + }, + { + "epoch": 0.37, + "learning_rate": 1.4473131483156326e-05, + "loss": 0.9228, + "step": 4395 + }, + { + "epoch": 0.37, + "learning_rate": 1.4470676295451138e-05, + "loss": 1.0045, + "step": 4396 + }, + { + "epoch": 0.37, + "learning_rate": 1.4468220770892208e-05, + "loss": 0.9348, + "step": 4397 + }, + { + "epoch": 0.37, + "learning_rate": 1.4465764909664552e-05, + "loss": 0.9579, + "step": 4398 + }, + { + "epoch": 0.37, + "learning_rate": 1.446330871195322e-05, + "loss": 0.9086, + "step": 4399 + }, + { + "epoch": 0.37, + "learning_rate": 1.446085217794327e-05, + "loss": 1.014, + "step": 4400 + }, + { + "epoch": 0.37, + "learning_rate": 1.4458395307819806e-05, + "loss": 0.9237, + "step": 4401 + }, + { + "epoch": 0.37, + "learning_rate": 1.445593810176794e-05, + "loss": 0.8237, + "step": 4402 + }, + { + "epoch": 0.37, + "learning_rate": 1.4453480559972817e-05, + "loss": 0.9296, + "step": 4403 + }, + { + "epoch": 0.37, + "learning_rate": 1.4451022682619606e-05, + "loss": 0.8827, + "step": 4404 + }, + { + "epoch": 0.37, + "learning_rate": 1.4448564469893507e-05, + "loss": 0.9172, + "step": 4405 + }, + { + "epoch": 0.37, + "learning_rate": 1.4446105921979731e-05, + "loss": 0.9625, + "step": 4406 + }, + { + "epoch": 0.37, + "learning_rate": 1.4443647039063534e-05, + "loss": 0.9436, + "step": 4407 + }, + { + "epoch": 0.37, + "learning_rate": 1.4441187821330176e-05, + "loss": 0.9199, + "step": 4408 + }, + { + "epoch": 0.37, + "learning_rate": 1.4438728268964956e-05, + "loss": 0.903, + "step": 4409 + }, + { + "epoch": 0.37, + "learning_rate": 1.44362683821532e-05, + "loss": 0.9562, + "step": 4410 + }, + { + "epoch": 0.37, + "learning_rate": 1.4433808161080248e-05, + "loss": 0.9466, + "step": 4411 + }, + { + "epoch": 0.37, + "learning_rate": 1.443134760593147e-05, + "loss": 0.9477, + "step": 4412 + }, + { + "epoch": 0.37, + "learning_rate": 1.4428886716892268e-05, + "loss": 0.9289, + "step": 4413 + }, + { + "epoch": 0.37, + "learning_rate": 1.442642549414806e-05, + "loss": 0.9392, + "step": 4414 + }, + { + "epoch": 0.37, + "learning_rate": 1.4423963937884293e-05, + "loss": 0.8796, + "step": 4415 + }, + { + "epoch": 0.37, + "learning_rate": 1.4421502048286439e-05, + "loss": 0.9194, + "step": 4416 + }, + { + "epoch": 0.37, + "learning_rate": 1.441903982554e-05, + "loss": 0.9377, + "step": 4417 + }, + { + "epoch": 0.37, + "learning_rate": 1.441657726983049e-05, + "loss": 0.9349, + "step": 4418 + }, + { + "epoch": 0.37, + "learning_rate": 1.4414114381343458e-05, + "loss": 0.908, + "step": 4419 + }, + { + "epoch": 0.37, + "learning_rate": 1.4411651160264479e-05, + "loss": 0.898, + "step": 4420 + }, + { + "epoch": 0.37, + "learning_rate": 1.4409187606779149e-05, + "loss": 0.8911, + "step": 4421 + }, + { + "epoch": 0.37, + "learning_rate": 1.4406723721073088e-05, + "loss": 0.9157, + "step": 4422 + }, + { + "epoch": 0.37, + "learning_rate": 1.4404259503331948e-05, + "loss": 0.9116, + "step": 4423 + }, + { + "epoch": 0.37, + "learning_rate": 1.4401794953741397e-05, + "loss": 0.9351, + "step": 4424 + }, + { + "epoch": 0.38, + "learning_rate": 1.4399330072487136e-05, + "loss": 0.9186, + "step": 4425 + }, + { + "epoch": 0.38, + "learning_rate": 1.4396864859754885e-05, + "loss": 0.9421, + "step": 4426 + }, + { + "epoch": 0.38, + "learning_rate": 1.4394399315730389e-05, + "loss": 0.9218, + "step": 4427 + }, + { + "epoch": 0.38, + "learning_rate": 1.4391933440599428e-05, + "loss": 0.962, + "step": 4428 + }, + { + "epoch": 0.38, + "learning_rate": 1.4389467234547792e-05, + "loss": 0.9049, + "step": 4429 + }, + { + "epoch": 0.38, + "learning_rate": 1.4387000697761305e-05, + "loss": 0.9222, + "step": 4430 + }, + { + "epoch": 0.38, + "learning_rate": 1.4384533830425814e-05, + "loss": 0.9512, + "step": 4431 + }, + { + "epoch": 0.38, + "learning_rate": 1.4382066632727192e-05, + "loss": 0.9243, + "step": 4432 + }, + { + "epoch": 0.38, + "learning_rate": 1.4379599104851336e-05, + "loss": 0.9023, + "step": 4433 + }, + { + "epoch": 0.38, + "learning_rate": 1.4377131246984168e-05, + "loss": 0.8951, + "step": 4434 + }, + { + "epoch": 0.38, + "learning_rate": 1.4374663059311632e-05, + "loss": 0.9361, + "step": 4435 + }, + { + "epoch": 0.38, + "learning_rate": 1.4372194542019705e-05, + "loss": 0.9219, + "step": 4436 + }, + { + "epoch": 0.38, + "learning_rate": 1.4369725695294377e-05, + "loss": 0.9166, + "step": 4437 + }, + { + "epoch": 0.38, + "learning_rate": 1.4367256519321673e-05, + "loss": 0.8723, + "step": 4438 + }, + { + "epoch": 0.38, + "learning_rate": 1.4364787014287636e-05, + "loss": 0.93, + "step": 4439 + }, + { + "epoch": 0.38, + "learning_rate": 1.4362317180378337e-05, + "loss": 0.9762, + "step": 4440 + }, + { + "epoch": 0.38, + "learning_rate": 1.4359847017779878e-05, + "loss": 0.879, + "step": 4441 + }, + { + "epoch": 0.38, + "learning_rate": 1.4357376526678368e-05, + "loss": 0.9403, + "step": 4442 + }, + { + "epoch": 0.38, + "learning_rate": 1.4354905707259962e-05, + "loss": 0.9705, + "step": 4443 + }, + { + "epoch": 0.38, + "learning_rate": 1.4352434559710826e-05, + "loss": 0.9332, + "step": 4444 + }, + { + "epoch": 0.38, + "learning_rate": 1.4349963084217154e-05, + "loss": 0.9567, + "step": 4445 + }, + { + "epoch": 0.38, + "learning_rate": 1.4347491280965165e-05, + "loss": 0.8608, + "step": 4446 + }, + { + "epoch": 0.38, + "learning_rate": 1.4345019150141104e-05, + "loss": 0.934, + "step": 4447 + }, + { + "epoch": 0.38, + "learning_rate": 1.4342546691931238e-05, + "loss": 0.8884, + "step": 4448 + }, + { + "epoch": 0.38, + "learning_rate": 1.4340073906521863e-05, + "loss": 0.597, + "step": 4449 + }, + { + "epoch": 0.38, + "learning_rate": 1.4337600794099295e-05, + "loss": 0.9187, + "step": 4450 + }, + { + "epoch": 0.38, + "learning_rate": 1.4335127354849876e-05, + "loss": 0.8846, + "step": 4451 + }, + { + "epoch": 0.38, + "learning_rate": 1.4332653588959974e-05, + "loss": 0.8857, + "step": 4452 + }, + { + "epoch": 0.38, + "learning_rate": 1.4330179496615984e-05, + "loss": 0.9597, + "step": 4453 + }, + { + "epoch": 0.38, + "learning_rate": 1.4327705078004317e-05, + "loss": 0.9072, + "step": 4454 + }, + { + "epoch": 0.38, + "learning_rate": 1.4325230333311415e-05, + "loss": 0.9366, + "step": 4455 + }, + { + "epoch": 0.38, + "learning_rate": 1.4322755262723745e-05, + "loss": 0.9075, + "step": 4456 + }, + { + "epoch": 0.38, + "learning_rate": 1.4320279866427798e-05, + "loss": 0.9428, + "step": 4457 + }, + { + "epoch": 0.38, + "learning_rate": 1.4317804144610086e-05, + "loss": 0.9549, + "step": 4458 + }, + { + "epoch": 0.38, + "learning_rate": 1.4315328097457153e-05, + "loss": 0.9268, + "step": 4459 + }, + { + "epoch": 0.38, + "learning_rate": 1.4312851725155554e-05, + "loss": 0.9394, + "step": 4460 + }, + { + "epoch": 0.38, + "learning_rate": 1.4310375027891885e-05, + "loss": 0.9711, + "step": 4461 + }, + { + "epoch": 0.38, + "learning_rate": 1.4307898005852756e-05, + "loss": 0.918, + "step": 4462 + }, + { + "epoch": 0.38, + "learning_rate": 1.4305420659224802e-05, + "loss": 0.9191, + "step": 4463 + }, + { + "epoch": 0.38, + "learning_rate": 1.4302942988194688e-05, + "loss": 0.9314, + "step": 4464 + }, + { + "epoch": 0.38, + "learning_rate": 1.4300464992949098e-05, + "loss": 0.8985, + "step": 4465 + }, + { + "epoch": 0.38, + "learning_rate": 1.4297986673674747e-05, + "loss": 0.8927, + "step": 4466 + }, + { + "epoch": 0.38, + "learning_rate": 1.4295508030558361e-05, + "loss": 0.8954, + "step": 4467 + }, + { + "epoch": 0.38, + "learning_rate": 1.4293029063786707e-05, + "loss": 0.9378, + "step": 4468 + }, + { + "epoch": 0.38, + "learning_rate": 1.4290549773546565e-05, + "loss": 0.9355, + "step": 4469 + }, + { + "epoch": 0.38, + "learning_rate": 1.4288070160024745e-05, + "loss": 0.9182, + "step": 4470 + }, + { + "epoch": 0.38, + "learning_rate": 1.4285590223408077e-05, + "loss": 0.9185, + "step": 4471 + }, + { + "epoch": 0.38, + "learning_rate": 1.428310996388342e-05, + "loss": 0.9405, + "step": 4472 + }, + { + "epoch": 0.38, + "learning_rate": 1.4280629381637651e-05, + "loss": 0.9216, + "step": 4473 + }, + { + "epoch": 0.38, + "learning_rate": 1.427814847685768e-05, + "loss": 0.9616, + "step": 4474 + }, + { + "epoch": 0.38, + "learning_rate": 1.4275667249730437e-05, + "loss": 0.9255, + "step": 4475 + }, + { + "epoch": 0.38, + "learning_rate": 1.4273185700442874e-05, + "loss": 0.9095, + "step": 4476 + }, + { + "epoch": 0.38, + "learning_rate": 1.4270703829181969e-05, + "loss": 0.9201, + "step": 4477 + }, + { + "epoch": 0.38, + "learning_rate": 1.4268221636134722e-05, + "loss": 0.9106, + "step": 4478 + }, + { + "epoch": 0.38, + "learning_rate": 1.4265739121488165e-05, + "loss": 0.9588, + "step": 4479 + }, + { + "epoch": 0.38, + "learning_rate": 1.4263256285429348e-05, + "loss": 0.9331, + "step": 4480 + }, + { + "epoch": 0.38, + "learning_rate": 1.4260773128145341e-05, + "loss": 0.9391, + "step": 4481 + }, + { + "epoch": 0.38, + "learning_rate": 1.4258289649823252e-05, + "loss": 0.9614, + "step": 4482 + }, + { + "epoch": 0.38, + "learning_rate": 1.4255805850650195e-05, + "loss": 0.9585, + "step": 4483 + }, + { + "epoch": 0.38, + "learning_rate": 1.4253321730813326e-05, + "loss": 0.943, + "step": 4484 + }, + { + "epoch": 0.38, + "learning_rate": 1.425083729049981e-05, + "loss": 0.8769, + "step": 4485 + }, + { + "epoch": 0.38, + "learning_rate": 1.4248352529896847e-05, + "loss": 0.9331, + "step": 4486 + }, + { + "epoch": 0.38, + "learning_rate": 1.424586744919166e-05, + "loss": 0.9275, + "step": 4487 + }, + { + "epoch": 0.38, + "learning_rate": 1.4243382048571485e-05, + "loss": 0.9261, + "step": 4488 + }, + { + "epoch": 0.38, + "learning_rate": 1.4240896328223599e-05, + "loss": 0.8416, + "step": 4489 + }, + { + "epoch": 0.38, + "learning_rate": 1.4238410288335289e-05, + "loss": 0.9376, + "step": 4490 + }, + { + "epoch": 0.38, + "learning_rate": 1.4235923929093874e-05, + "loss": 0.9613, + "step": 4491 + }, + { + "epoch": 0.38, + "learning_rate": 1.4233437250686695e-05, + "loss": 0.9383, + "step": 4492 + }, + { + "epoch": 0.38, + "learning_rate": 1.4230950253301115e-05, + "loss": 0.8991, + "step": 4493 + }, + { + "epoch": 0.38, + "learning_rate": 1.4228462937124522e-05, + "loss": 0.9019, + "step": 4494 + }, + { + "epoch": 0.38, + "learning_rate": 1.4225975302344332e-05, + "loss": 0.9063, + "step": 4495 + }, + { + "epoch": 0.38, + "learning_rate": 1.422348734914798e-05, + "loss": 0.8018, + "step": 4496 + }, + { + "epoch": 0.38, + "learning_rate": 1.4220999077722927e-05, + "loss": 0.9135, + "step": 4497 + }, + { + "epoch": 0.38, + "learning_rate": 1.4218510488256655e-05, + "loss": 0.8974, + "step": 4498 + }, + { + "epoch": 0.38, + "learning_rate": 1.4216021580936681e-05, + "loss": 0.912, + "step": 4499 + }, + { + "epoch": 0.38, + "learning_rate": 1.4213532355950529e-05, + "loss": 0.9477, + "step": 4500 + }, + { + "epoch": 0.38, + "learning_rate": 1.4211042813485758e-05, + "loss": 0.912, + "step": 4501 + }, + { + "epoch": 0.38, + "learning_rate": 1.4208552953729949e-05, + "loss": 0.9128, + "step": 4502 + }, + { + "epoch": 0.38, + "learning_rate": 1.4206062776870707e-05, + "loss": 0.9331, + "step": 4503 + }, + { + "epoch": 0.38, + "learning_rate": 1.4203572283095657e-05, + "loss": 0.8946, + "step": 4504 + }, + { + "epoch": 0.38, + "learning_rate": 1.4201081472592455e-05, + "loss": 0.9242, + "step": 4505 + }, + { + "epoch": 0.38, + "learning_rate": 1.4198590345548777e-05, + "loss": 0.9127, + "step": 4506 + }, + { + "epoch": 0.38, + "learning_rate": 1.4196098902152323e-05, + "loss": 0.9049, + "step": 4507 + }, + { + "epoch": 0.38, + "learning_rate": 1.4193607142590812e-05, + "loss": 0.936, + "step": 4508 + }, + { + "epoch": 0.38, + "learning_rate": 1.4191115067051997e-05, + "loss": 0.8885, + "step": 4509 + }, + { + "epoch": 0.38, + "learning_rate": 1.4188622675723648e-05, + "loss": 0.9884, + "step": 4510 + }, + { + "epoch": 0.38, + "learning_rate": 1.4186129968793558e-05, + "loss": 0.8968, + "step": 4511 + }, + { + "epoch": 0.38, + "learning_rate": 1.4183636946449547e-05, + "loss": 0.8983, + "step": 4512 + }, + { + "epoch": 0.38, + "learning_rate": 1.418114360887946e-05, + "loss": 0.9136, + "step": 4513 + }, + { + "epoch": 0.38, + "learning_rate": 1.4178649956271162e-05, + "loss": 0.8674, + "step": 4514 + }, + { + "epoch": 0.38, + "learning_rate": 1.417615598881254e-05, + "loss": 0.9852, + "step": 4515 + }, + { + "epoch": 0.38, + "learning_rate": 1.4173661706691514e-05, + "loss": 0.9463, + "step": 4516 + }, + { + "epoch": 0.38, + "learning_rate": 1.4171167110096017e-05, + "loss": 0.9194, + "step": 4517 + }, + { + "epoch": 0.38, + "learning_rate": 1.4168672199214011e-05, + "loss": 0.9639, + "step": 4518 + }, + { + "epoch": 0.38, + "learning_rate": 1.4166176974233483e-05, + "loss": 0.945, + "step": 4519 + }, + { + "epoch": 0.38, + "learning_rate": 1.416368143534244e-05, + "loss": 0.961, + "step": 4520 + }, + { + "epoch": 0.38, + "learning_rate": 1.4161185582728913e-05, + "loss": 0.9472, + "step": 4521 + }, + { + "epoch": 0.38, + "learning_rate": 1.4158689416580965e-05, + "loss": 0.8883, + "step": 4522 + }, + { + "epoch": 0.38, + "learning_rate": 1.4156192937086666e-05, + "loss": 0.9405, + "step": 4523 + }, + { + "epoch": 0.38, + "learning_rate": 1.4153696144434124e-05, + "loss": 0.9048, + "step": 4524 + }, + { + "epoch": 0.38, + "learning_rate": 1.4151199038811463e-05, + "loss": 0.9457, + "step": 4525 + }, + { + "epoch": 0.38, + "learning_rate": 1.4148701620406838e-05, + "loss": 0.9376, + "step": 4526 + }, + { + "epoch": 0.38, + "learning_rate": 1.4146203889408418e-05, + "loss": 0.938, + "step": 4527 + }, + { + "epoch": 0.38, + "learning_rate": 1.4143705846004405e-05, + "loss": 0.9471, + "step": 4528 + }, + { + "epoch": 0.38, + "learning_rate": 1.4141207490383018e-05, + "loss": 0.9519, + "step": 4529 + }, + { + "epoch": 0.38, + "learning_rate": 1.4138708822732501e-05, + "loss": 0.9986, + "step": 4530 + }, + { + "epoch": 0.38, + "learning_rate": 1.4136209843241123e-05, + "loss": 0.9657, + "step": 4531 + }, + { + "epoch": 0.38, + "learning_rate": 1.4133710552097175e-05, + "loss": 0.9554, + "step": 4532 + }, + { + "epoch": 0.38, + "learning_rate": 1.4131210949488972e-05, + "loss": 0.9555, + "step": 4533 + }, + { + "epoch": 0.38, + "learning_rate": 1.4128711035604851e-05, + "loss": 0.9126, + "step": 4534 + }, + { + "epoch": 0.38, + "learning_rate": 1.4126210810633176e-05, + "loss": 0.9469, + "step": 4535 + }, + { + "epoch": 0.38, + "learning_rate": 1.4123710274762334e-05, + "loss": 0.9224, + "step": 4536 + }, + { + "epoch": 0.38, + "learning_rate": 1.4121209428180731e-05, + "loss": 0.9709, + "step": 4537 + }, + { + "epoch": 0.38, + "learning_rate": 1.41187082710768e-05, + "loss": 0.908, + "step": 4538 + }, + { + "epoch": 0.38, + "learning_rate": 1.4116206803638997e-05, + "loss": 0.9717, + "step": 4539 + }, + { + "epoch": 0.38, + "learning_rate": 1.41137050260558e-05, + "loss": 0.9234, + "step": 4540 + }, + { + "epoch": 0.38, + "learning_rate": 1.4111202938515711e-05, + "loss": 0.9611, + "step": 4541 + }, + { + "epoch": 0.38, + "learning_rate": 1.4108700541207259e-05, + "loss": 0.9259, + "step": 4542 + }, + { + "epoch": 0.39, + "learning_rate": 1.4106197834318994e-05, + "loss": 0.9732, + "step": 4543 + }, + { + "epoch": 0.39, + "learning_rate": 1.4103694818039483e-05, + "loss": 0.9809, + "step": 4544 + }, + { + "epoch": 0.39, + "learning_rate": 1.410119149255732e-05, + "loss": 0.8895, + "step": 4545 + }, + { + "epoch": 0.39, + "learning_rate": 1.409868785806113e-05, + "loss": 0.9224, + "step": 4546 + }, + { + "epoch": 0.39, + "learning_rate": 1.4096183914739554e-05, + "loss": 0.8937, + "step": 4547 + }, + { + "epoch": 0.39, + "learning_rate": 1.4093679662781256e-05, + "loss": 0.8847, + "step": 4548 + }, + { + "epoch": 0.39, + "learning_rate": 1.4091175102374928e-05, + "loss": 0.9216, + "step": 4549 + }, + { + "epoch": 0.39, + "learning_rate": 1.4088670233709278e-05, + "loss": 0.6035, + "step": 4550 + }, + { + "epoch": 0.39, + "learning_rate": 1.4086165056973045e-05, + "loss": 0.8916, + "step": 4551 + }, + { + "epoch": 0.39, + "learning_rate": 1.4083659572354982e-05, + "loss": 0.9413, + "step": 4552 + }, + { + "epoch": 0.39, + "learning_rate": 1.4081153780043878e-05, + "loss": 0.8806, + "step": 4553 + }, + { + "epoch": 0.39, + "learning_rate": 1.407864768022853e-05, + "loss": 0.9533, + "step": 4554 + }, + { + "epoch": 0.39, + "learning_rate": 1.4076141273097774e-05, + "loss": 0.9427, + "step": 4555 + }, + { + "epoch": 0.39, + "learning_rate": 1.4073634558840454e-05, + "loss": 0.9139, + "step": 4556 + }, + { + "epoch": 0.39, + "learning_rate": 1.4071127537645453e-05, + "loss": 0.9514, + "step": 4557 + }, + { + "epoch": 0.39, + "learning_rate": 1.4068620209701659e-05, + "loss": 0.9497, + "step": 4558 + }, + { + "epoch": 0.39, + "learning_rate": 1.4066112575197996e-05, + "loss": 0.9492, + "step": 4559 + }, + { + "epoch": 0.39, + "learning_rate": 1.406360463432341e-05, + "loss": 0.9341, + "step": 4560 + }, + { + "epoch": 0.39, + "learning_rate": 1.4061096387266868e-05, + "loss": 0.9694, + "step": 4561 + }, + { + "epoch": 0.39, + "learning_rate": 1.4058587834217356e-05, + "loss": 0.8902, + "step": 4562 + }, + { + "epoch": 0.39, + "learning_rate": 1.4056078975363891e-05, + "loss": 0.9244, + "step": 4563 + }, + { + "epoch": 0.39, + "learning_rate": 1.4053569810895509e-05, + "loss": 0.9433, + "step": 4564 + }, + { + "epoch": 0.39, + "learning_rate": 1.4051060341001264e-05, + "loss": 0.8988, + "step": 4565 + }, + { + "epoch": 0.39, + "learning_rate": 1.404855056587024e-05, + "loss": 0.9328, + "step": 4566 + }, + { + "epoch": 0.39, + "learning_rate": 1.4046040485691543e-05, + "loss": 0.8769, + "step": 4567 + }, + { + "epoch": 0.39, + "learning_rate": 1.4043530100654301e-05, + "loss": 0.9359, + "step": 4568 + }, + { + "epoch": 0.39, + "learning_rate": 1.4041019410947665e-05, + "loss": 0.9648, + "step": 4569 + }, + { + "epoch": 0.39, + "learning_rate": 1.4038508416760808e-05, + "loss": 0.9008, + "step": 4570 + }, + { + "epoch": 0.39, + "learning_rate": 1.403599711828293e-05, + "loss": 0.5901, + "step": 4571 + }, + { + "epoch": 0.39, + "learning_rate": 1.4033485515703245e-05, + "loss": 0.9135, + "step": 4572 + }, + { + "epoch": 0.39, + "learning_rate": 1.4030973609211001e-05, + "loss": 0.9174, + "step": 4573 + }, + { + "epoch": 0.39, + "learning_rate": 1.402846139899546e-05, + "loss": 0.919, + "step": 4574 + }, + { + "epoch": 0.39, + "learning_rate": 1.4025948885245914e-05, + "loss": 0.9466, + "step": 4575 + }, + { + "epoch": 0.39, + "learning_rate": 1.4023436068151672e-05, + "loss": 0.9124, + "step": 4576 + }, + { + "epoch": 0.39, + "learning_rate": 1.4020922947902067e-05, + "loss": 0.9286, + "step": 4577 + }, + { + "epoch": 0.39, + "learning_rate": 1.4018409524686459e-05, + "loss": 0.9441, + "step": 4578 + }, + { + "epoch": 0.39, + "learning_rate": 1.4015895798694224e-05, + "loss": 0.9197, + "step": 4579 + }, + { + "epoch": 0.39, + "learning_rate": 1.401338177011477e-05, + "loss": 0.9063, + "step": 4580 + }, + { + "epoch": 0.39, + "learning_rate": 1.4010867439137516e-05, + "loss": 0.9665, + "step": 4581 + }, + { + "epoch": 0.39, + "learning_rate": 1.4008352805951917e-05, + "loss": 0.9173, + "step": 4582 + }, + { + "epoch": 0.39, + "learning_rate": 1.4005837870747439e-05, + "loss": 0.9614, + "step": 4583 + }, + { + "epoch": 0.39, + "learning_rate": 1.4003322633713578e-05, + "loss": 0.9117, + "step": 4584 + }, + { + "epoch": 0.39, + "learning_rate": 1.4000807095039852e-05, + "loss": 0.9752, + "step": 4585 + }, + { + "epoch": 0.39, + "learning_rate": 1.3998291254915797e-05, + "loss": 0.9477, + "step": 4586 + }, + { + "epoch": 0.39, + "learning_rate": 1.3995775113530974e-05, + "loss": 0.936, + "step": 4587 + }, + { + "epoch": 0.39, + "learning_rate": 1.3993258671074972e-05, + "loss": 0.9328, + "step": 4588 + }, + { + "epoch": 0.39, + "learning_rate": 1.3990741927737395e-05, + "loss": 0.9322, + "step": 4589 + }, + { + "epoch": 0.39, + "learning_rate": 1.3988224883707875e-05, + "loss": 0.9827, + "step": 4590 + }, + { + "epoch": 0.39, + "learning_rate": 1.3985707539176063e-05, + "loss": 0.8884, + "step": 4591 + }, + { + "epoch": 0.39, + "learning_rate": 1.3983189894331636e-05, + "loss": 0.9699, + "step": 4592 + }, + { + "epoch": 0.39, + "learning_rate": 1.398067194936429e-05, + "loss": 0.9517, + "step": 4593 + }, + { + "epoch": 0.39, + "learning_rate": 1.397815370446375e-05, + "loss": 0.9792, + "step": 4594 + }, + { + "epoch": 0.39, + "learning_rate": 1.3975635159819757e-05, + "loss": 0.909, + "step": 4595 + }, + { + "epoch": 0.39, + "learning_rate": 1.3973116315622068e-05, + "loss": 0.9845, + "step": 4596 + }, + { + "epoch": 0.39, + "learning_rate": 1.3970597172060482e-05, + "loss": 0.9464, + "step": 4597 + }, + { + "epoch": 0.39, + "learning_rate": 1.3968077729324808e-05, + "loss": 0.8719, + "step": 4598 + }, + { + "epoch": 0.39, + "learning_rate": 1.3965557987604878e-05, + "loss": 0.9126, + "step": 4599 + }, + { + "epoch": 0.39, + "learning_rate": 1.396303794709055e-05, + "loss": 0.956, + "step": 4600 + }, + { + "epoch": 0.39, + "learning_rate": 1.3960517607971697e-05, + "loss": 0.9598, + "step": 4601 + }, + { + "epoch": 0.39, + "learning_rate": 1.3957996970438226e-05, + "loss": 0.9427, + "step": 4602 + }, + { + "epoch": 0.39, + "learning_rate": 1.3955476034680058e-05, + "loss": 0.9258, + "step": 4603 + }, + { + "epoch": 0.39, + "learning_rate": 1.3952954800887137e-05, + "loss": 0.5689, + "step": 4604 + }, + { + "epoch": 0.39, + "learning_rate": 1.3950433269249436e-05, + "loss": 0.8942, + "step": 4605 + }, + { + "epoch": 0.39, + "learning_rate": 1.3947911439956942e-05, + "loss": 0.9447, + "step": 4606 + }, + { + "epoch": 0.39, + "learning_rate": 1.3945389313199669e-05, + "loss": 0.9629, + "step": 4607 + }, + { + "epoch": 0.39, + "learning_rate": 1.3942866889167653e-05, + "loss": 0.9203, + "step": 4608 + }, + { + "epoch": 0.39, + "learning_rate": 1.3940344168050952e-05, + "loss": 0.9512, + "step": 4609 + }, + { + "epoch": 0.39, + "learning_rate": 1.3937821150039645e-05, + "loss": 0.8606, + "step": 4610 + }, + { + "epoch": 0.39, + "learning_rate": 1.3935297835323835e-05, + "loss": 0.9175, + "step": 4611 + }, + { + "epoch": 0.39, + "learning_rate": 1.3932774224093653e-05, + "loss": 0.928, + "step": 4612 + }, + { + "epoch": 0.39, + "learning_rate": 1.3930250316539237e-05, + "loss": 0.9278, + "step": 4613 + }, + { + "epoch": 0.39, + "learning_rate": 1.3927726112850764e-05, + "loss": 0.9225, + "step": 4614 + }, + { + "epoch": 0.39, + "learning_rate": 1.3925201613218424e-05, + "loss": 0.9146, + "step": 4615 + }, + { + "epoch": 0.39, + "learning_rate": 1.3922676817832432e-05, + "loss": 0.942, + "step": 4616 + }, + { + "epoch": 0.39, + "learning_rate": 1.3920151726883021e-05, + "loss": 0.9349, + "step": 4617 + }, + { + "epoch": 0.39, + "learning_rate": 1.3917626340560454e-05, + "loss": 0.9099, + "step": 4618 + }, + { + "epoch": 0.39, + "learning_rate": 1.391510065905501e-05, + "loss": 0.9038, + "step": 4619 + }, + { + "epoch": 0.39, + "learning_rate": 1.3912574682556994e-05, + "loss": 0.8909, + "step": 4620 + }, + { + "epoch": 0.39, + "learning_rate": 1.3910048411256734e-05, + "loss": 0.8848, + "step": 4621 + }, + { + "epoch": 0.39, + "learning_rate": 1.3907521845344571e-05, + "loss": 0.8502, + "step": 4622 + }, + { + "epoch": 0.39, + "learning_rate": 1.3904994985010882e-05, + "loss": 0.8884, + "step": 4623 + }, + { + "epoch": 0.39, + "learning_rate": 1.3902467830446056e-05, + "loss": 0.9178, + "step": 4624 + }, + { + "epoch": 0.39, + "learning_rate": 1.389994038184051e-05, + "loss": 0.9274, + "step": 4625 + }, + { + "epoch": 0.39, + "learning_rate": 1.3897412639384675e-05, + "loss": 0.8977, + "step": 4626 + }, + { + "epoch": 0.39, + "learning_rate": 1.3894884603269016e-05, + "loss": 0.9066, + "step": 4627 + }, + { + "epoch": 0.39, + "learning_rate": 1.3892356273684012e-05, + "loss": 0.9099, + "step": 4628 + }, + { + "epoch": 0.39, + "learning_rate": 1.3889827650820165e-05, + "loss": 0.9547, + "step": 4629 + }, + { + "epoch": 0.39, + "learning_rate": 1.3887298734868e-05, + "loss": 0.9065, + "step": 4630 + }, + { + "epoch": 0.39, + "learning_rate": 1.3884769526018063e-05, + "loss": 0.9309, + "step": 4631 + }, + { + "epoch": 0.39, + "learning_rate": 1.3882240024460928e-05, + "loss": 0.8962, + "step": 4632 + }, + { + "epoch": 0.39, + "learning_rate": 1.387971023038718e-05, + "loss": 0.9613, + "step": 4633 + }, + { + "epoch": 0.39, + "learning_rate": 1.3877180143987436e-05, + "loss": 0.9512, + "step": 4634 + }, + { + "epoch": 0.39, + "learning_rate": 1.3874649765452333e-05, + "loss": 0.9152, + "step": 4635 + }, + { + "epoch": 0.39, + "learning_rate": 1.3872119094972525e-05, + "loss": 0.9367, + "step": 4636 + }, + { + "epoch": 0.39, + "learning_rate": 1.3869588132738696e-05, + "loss": 0.9586, + "step": 4637 + }, + { + "epoch": 0.39, + "learning_rate": 1.386705687894154e-05, + "loss": 0.9386, + "step": 4638 + }, + { + "epoch": 0.39, + "learning_rate": 1.3864525333771787e-05, + "loss": 0.5285, + "step": 4639 + }, + { + "epoch": 0.39, + "learning_rate": 1.3861993497420176e-05, + "loss": 0.9244, + "step": 4640 + }, + { + "epoch": 0.39, + "learning_rate": 1.385946137007748e-05, + "loss": 0.9263, + "step": 4641 + }, + { + "epoch": 0.39, + "learning_rate": 1.3856928951934487e-05, + "loss": 0.9662, + "step": 4642 + }, + { + "epoch": 0.39, + "learning_rate": 1.3854396243182007e-05, + "loss": 0.9225, + "step": 4643 + }, + { + "epoch": 0.39, + "learning_rate": 1.3851863244010872e-05, + "loss": 0.5329, + "step": 4644 + }, + { + "epoch": 0.39, + "learning_rate": 1.3849329954611941e-05, + "loss": 0.9014, + "step": 4645 + }, + { + "epoch": 0.39, + "learning_rate": 1.3846796375176083e-05, + "loss": 0.872, + "step": 4646 + }, + { + "epoch": 0.39, + "learning_rate": 1.3844262505894205e-05, + "loss": 0.9106, + "step": 4647 + }, + { + "epoch": 0.39, + "learning_rate": 1.3841728346957226e-05, + "loss": 0.8679, + "step": 4648 + }, + { + "epoch": 0.39, + "learning_rate": 1.3839193898556083e-05, + "loss": 0.8781, + "step": 4649 + }, + { + "epoch": 0.39, + "learning_rate": 1.3836659160881742e-05, + "loss": 0.9335, + "step": 4650 + }, + { + "epoch": 0.39, + "learning_rate": 1.3834124134125191e-05, + "loss": 0.9009, + "step": 4651 + }, + { + "epoch": 0.39, + "learning_rate": 1.3831588818477437e-05, + "loss": 0.9006, + "step": 4652 + }, + { + "epoch": 0.39, + "learning_rate": 1.3829053214129506e-05, + "loss": 0.9301, + "step": 4653 + }, + { + "epoch": 0.39, + "learning_rate": 1.3826517321272457e-05, + "loss": 0.9338, + "step": 4654 + }, + { + "epoch": 0.39, + "learning_rate": 1.3823981140097354e-05, + "loss": 0.9595, + "step": 4655 + }, + { + "epoch": 0.39, + "learning_rate": 1.3821444670795296e-05, + "loss": 0.8911, + "step": 4656 + }, + { + "epoch": 0.39, + "learning_rate": 1.38189079135574e-05, + "loss": 0.9176, + "step": 4657 + }, + { + "epoch": 0.39, + "learning_rate": 1.3816370868574804e-05, + "loss": 0.9434, + "step": 4658 + }, + { + "epoch": 0.39, + "learning_rate": 1.3813833536038663e-05, + "loss": 0.8758, + "step": 4659 + }, + { + "epoch": 0.39, + "learning_rate": 1.3811295916140164e-05, + "loss": 0.9509, + "step": 4660 + }, + { + "epoch": 0.4, + "learning_rate": 1.3808758009070506e-05, + "loss": 0.9512, + "step": 4661 + }, + { + "epoch": 0.4, + "learning_rate": 1.3806219815020916e-05, + "loss": 0.9365, + "step": 4662 + }, + { + "epoch": 0.4, + "learning_rate": 1.3803681334182639e-05, + "loss": 0.9218, + "step": 4663 + }, + { + "epoch": 0.4, + "learning_rate": 1.3801142566746945e-05, + "loss": 0.9078, + "step": 4664 + }, + { + "epoch": 0.4, + "learning_rate": 1.3798603512905123e-05, + "loss": 0.9346, + "step": 4665 + }, + { + "epoch": 0.4, + "learning_rate": 1.3796064172848482e-05, + "loss": 0.966, + "step": 4666 + }, + { + "epoch": 0.4, + "learning_rate": 1.3793524546768358e-05, + "loss": 0.9723, + "step": 4667 + }, + { + "epoch": 0.4, + "learning_rate": 1.37909846348561e-05, + "loss": 0.9358, + "step": 4668 + }, + { + "epoch": 0.4, + "learning_rate": 1.378844443730309e-05, + "loss": 0.885, + "step": 4669 + }, + { + "epoch": 0.4, + "learning_rate": 1.378590395430072e-05, + "loss": 0.9447, + "step": 4670 + }, + { + "epoch": 0.4, + "learning_rate": 1.378336318604041e-05, + "loss": 0.944, + "step": 4671 + }, + { + "epoch": 0.4, + "learning_rate": 1.37808221327136e-05, + "loss": 0.9242, + "step": 4672 + }, + { + "epoch": 0.4, + "learning_rate": 1.3778280794511753e-05, + "loss": 0.8886, + "step": 4673 + }, + { + "epoch": 0.4, + "learning_rate": 1.3775739171626354e-05, + "loss": 0.8756, + "step": 4674 + }, + { + "epoch": 0.4, + "learning_rate": 1.3773197264248903e-05, + "loss": 0.5488, + "step": 4675 + }, + { + "epoch": 0.4, + "learning_rate": 1.3770655072570929e-05, + "loss": 0.932, + "step": 4676 + }, + { + "epoch": 0.4, + "learning_rate": 1.376811259678398e-05, + "loss": 0.9439, + "step": 4677 + }, + { + "epoch": 0.4, + "learning_rate": 1.3765569837079622e-05, + "loss": 0.9464, + "step": 4678 + }, + { + "epoch": 0.4, + "learning_rate": 1.376302679364945e-05, + "loss": 0.921, + "step": 4679 + }, + { + "epoch": 0.4, + "learning_rate": 1.376048346668507e-05, + "loss": 0.9405, + "step": 4680 + }, + { + "epoch": 0.4, + "learning_rate": 1.375793985637812e-05, + "loss": 0.9129, + "step": 4681 + }, + { + "epoch": 0.4, + "learning_rate": 1.375539596292025e-05, + "loss": 0.9752, + "step": 4682 + }, + { + "epoch": 0.4, + "learning_rate": 1.3752851786503139e-05, + "loss": 0.9383, + "step": 4683 + }, + { + "epoch": 0.4, + "learning_rate": 1.375030732731848e-05, + "loss": 0.9523, + "step": 4684 + }, + { + "epoch": 0.4, + "learning_rate": 1.3747762585557995e-05, + "loss": 0.9311, + "step": 4685 + }, + { + "epoch": 0.4, + "learning_rate": 1.3745217561413424e-05, + "loss": 0.9099, + "step": 4686 + }, + { + "epoch": 0.4, + "learning_rate": 1.3742672255076528e-05, + "loss": 0.6066, + "step": 4687 + }, + { + "epoch": 0.4, + "learning_rate": 1.3740126666739086e-05, + "loss": 0.9084, + "step": 4688 + }, + { + "epoch": 0.4, + "learning_rate": 1.3737580796592905e-05, + "loss": 0.9996, + "step": 4689 + }, + { + "epoch": 0.4, + "learning_rate": 1.3735034644829806e-05, + "loss": 0.8892, + "step": 4690 + }, + { + "epoch": 0.4, + "learning_rate": 1.3732488211641638e-05, + "loss": 0.9489, + "step": 4691 + }, + { + "epoch": 0.4, + "learning_rate": 1.3729941497220267e-05, + "loss": 0.9277, + "step": 4692 + }, + { + "epoch": 0.4, + "learning_rate": 1.3727394501757578e-05, + "loss": 0.9224, + "step": 4693 + }, + { + "epoch": 0.4, + "learning_rate": 1.3724847225445488e-05, + "loss": 0.9033, + "step": 4694 + }, + { + "epoch": 0.4, + "learning_rate": 1.372229966847592e-05, + "loss": 0.9381, + "step": 4695 + }, + { + "epoch": 0.4, + "learning_rate": 1.3719751831040831e-05, + "loss": 0.877, + "step": 4696 + }, + { + "epoch": 0.4, + "learning_rate": 1.371720371333219e-05, + "loss": 0.9985, + "step": 4697 + }, + { + "epoch": 0.4, + "learning_rate": 1.3714655315541992e-05, + "loss": 0.9385, + "step": 4698 + }, + { + "epoch": 0.4, + "learning_rate": 1.3712106637862254e-05, + "loss": 0.954, + "step": 4699 + }, + { + "epoch": 0.4, + "learning_rate": 1.3709557680485013e-05, + "loss": 0.9055, + "step": 4700 + }, + { + "epoch": 0.4, + "learning_rate": 1.3707008443602323e-05, + "loss": 0.9355, + "step": 4701 + }, + { + "epoch": 0.4, + "learning_rate": 1.3704458927406261e-05, + "loss": 0.9306, + "step": 4702 + }, + { + "epoch": 0.4, + "learning_rate": 1.3701909132088931e-05, + "loss": 0.9464, + "step": 4703 + }, + { + "epoch": 0.4, + "learning_rate": 1.3699359057842451e-05, + "loss": 0.9461, + "step": 4704 + }, + { + "epoch": 0.4, + "learning_rate": 1.3696808704858964e-05, + "loss": 0.9578, + "step": 4705 + }, + { + "epoch": 0.4, + "learning_rate": 1.3694258073330626e-05, + "loss": 0.9127, + "step": 4706 + }, + { + "epoch": 0.4, + "learning_rate": 1.3691707163449631e-05, + "loss": 0.9506, + "step": 4707 + }, + { + "epoch": 0.4, + "learning_rate": 1.3689155975408174e-05, + "loss": 0.9136, + "step": 4708 + }, + { + "epoch": 0.4, + "learning_rate": 1.3686604509398489e-05, + "loss": 0.9261, + "step": 4709 + }, + { + "epoch": 0.4, + "learning_rate": 1.3684052765612814e-05, + "loss": 0.9441, + "step": 4710 + }, + { + "epoch": 0.4, + "learning_rate": 1.3681500744243423e-05, + "loss": 0.9763, + "step": 4711 + }, + { + "epoch": 0.4, + "learning_rate": 1.3678948445482598e-05, + "loss": 0.917, + "step": 4712 + }, + { + "epoch": 0.4, + "learning_rate": 1.3676395869522653e-05, + "loss": 0.9466, + "step": 4713 + }, + { + "epoch": 0.4, + "learning_rate": 1.3673843016555912e-05, + "loss": 0.8947, + "step": 4714 + }, + { + "epoch": 0.4, + "learning_rate": 1.3671289886774733e-05, + "loss": 0.9304, + "step": 4715 + }, + { + "epoch": 0.4, + "learning_rate": 1.3668736480371484e-05, + "loss": 0.95, + "step": 4716 + }, + { + "epoch": 0.4, + "learning_rate": 1.3666182797538554e-05, + "loss": 0.9664, + "step": 4717 + }, + { + "epoch": 0.4, + "learning_rate": 1.3663628838468364e-05, + "loss": 0.9425, + "step": 4718 + }, + { + "epoch": 0.4, + "learning_rate": 1.3661074603353341e-05, + "loss": 0.8785, + "step": 4719 + }, + { + "epoch": 0.4, + "learning_rate": 1.3658520092385946e-05, + "loss": 0.8958, + "step": 4720 + }, + { + "epoch": 0.4, + "learning_rate": 1.3655965305758652e-05, + "loss": 0.95, + "step": 4721 + }, + { + "epoch": 0.4, + "learning_rate": 1.3653410243663953e-05, + "loss": 0.905, + "step": 4722 + }, + { + "epoch": 0.4, + "learning_rate": 1.3650854906294368e-05, + "loss": 0.9888, + "step": 4723 + }, + { + "epoch": 0.4, + "learning_rate": 1.3648299293842438e-05, + "loss": 0.6073, + "step": 4724 + }, + { + "epoch": 0.4, + "learning_rate": 1.3645743406500715e-05, + "loss": 0.9103, + "step": 4725 + }, + { + "epoch": 0.4, + "learning_rate": 1.3643187244461787e-05, + "loss": 0.9254, + "step": 4726 + }, + { + "epoch": 0.4, + "learning_rate": 1.3640630807918246e-05, + "loss": 0.9363, + "step": 4727 + }, + { + "epoch": 0.4, + "learning_rate": 1.3638074097062716e-05, + "loss": 0.9012, + "step": 4728 + }, + { + "epoch": 0.4, + "learning_rate": 1.3635517112087841e-05, + "loss": 0.9613, + "step": 4729 + }, + { + "epoch": 0.4, + "learning_rate": 1.363295985318628e-05, + "loss": 0.8937, + "step": 4730 + }, + { + "epoch": 0.4, + "learning_rate": 1.363040232055072e-05, + "loss": 0.9235, + "step": 4731 + }, + { + "epoch": 0.4, + "learning_rate": 1.362784451437386e-05, + "loss": 0.934, + "step": 4732 + }, + { + "epoch": 0.4, + "learning_rate": 1.3625286434848424e-05, + "loss": 0.9223, + "step": 4733 + }, + { + "epoch": 0.4, + "learning_rate": 1.3622728082167159e-05, + "loss": 0.9471, + "step": 4734 + }, + { + "epoch": 0.4, + "learning_rate": 1.3620169456522824e-05, + "loss": 0.8824, + "step": 4735 + }, + { + "epoch": 0.4, + "learning_rate": 1.3617610558108214e-05, + "loss": 0.9254, + "step": 4736 + }, + { + "epoch": 0.4, + "learning_rate": 1.3615051387116131e-05, + "loss": 0.8912, + "step": 4737 + }, + { + "epoch": 0.4, + "learning_rate": 1.3612491943739401e-05, + "loss": 0.9362, + "step": 4738 + }, + { + "epoch": 0.4, + "learning_rate": 1.3609932228170873e-05, + "loss": 0.8903, + "step": 4739 + }, + { + "epoch": 0.4, + "learning_rate": 1.3607372240603411e-05, + "loss": 0.9307, + "step": 4740 + }, + { + "epoch": 0.4, + "learning_rate": 1.3604811981229906e-05, + "loss": 0.897, + "step": 4741 + }, + { + "epoch": 0.4, + "learning_rate": 1.3602251450243273e-05, + "loss": 0.878, + "step": 4742 + }, + { + "epoch": 0.4, + "learning_rate": 1.359969064783643e-05, + "loss": 0.9433, + "step": 4743 + }, + { + "epoch": 0.4, + "learning_rate": 1.3597129574202334e-05, + "loss": 0.8988, + "step": 4744 + }, + { + "epoch": 0.4, + "learning_rate": 1.3594568229533953e-05, + "loss": 0.8656, + "step": 4745 + }, + { + "epoch": 0.4, + "learning_rate": 1.3592006614024278e-05, + "loss": 0.8785, + "step": 4746 + }, + { + "epoch": 0.4, + "learning_rate": 1.358944472786632e-05, + "loss": 0.9152, + "step": 4747 + }, + { + "epoch": 0.4, + "learning_rate": 1.358688257125311e-05, + "loss": 0.9626, + "step": 4748 + }, + { + "epoch": 0.4, + "learning_rate": 1.35843201443777e-05, + "loss": 0.9397, + "step": 4749 + }, + { + "epoch": 0.4, + "learning_rate": 1.3581757447433162e-05, + "loss": 0.9035, + "step": 4750 + }, + { + "epoch": 0.4, + "learning_rate": 1.357919448061259e-05, + "loss": 0.9587, + "step": 4751 + }, + { + "epoch": 0.4, + "learning_rate": 1.3576631244109093e-05, + "loss": 0.9283, + "step": 4752 + }, + { + "epoch": 0.4, + "learning_rate": 1.3574067738115812e-05, + "loss": 0.939, + "step": 4753 + }, + { + "epoch": 0.4, + "learning_rate": 1.3571503962825892e-05, + "loss": 0.9573, + "step": 4754 + }, + { + "epoch": 0.4, + "learning_rate": 1.356893991843251e-05, + "loss": 0.9563, + "step": 4755 + }, + { + "epoch": 0.4, + "learning_rate": 1.3566375605128861e-05, + "loss": 0.938, + "step": 4756 + }, + { + "epoch": 0.4, + "learning_rate": 1.3563811023108157e-05, + "loss": 0.9191, + "step": 4757 + }, + { + "epoch": 0.4, + "learning_rate": 1.3561246172563633e-05, + "loss": 0.8995, + "step": 4758 + }, + { + "epoch": 0.4, + "learning_rate": 1.3558681053688547e-05, + "loss": 0.9388, + "step": 4759 + }, + { + "epoch": 0.4, + "learning_rate": 1.355611566667617e-05, + "loss": 0.5216, + "step": 4760 + }, + { + "epoch": 0.4, + "learning_rate": 1.35535500117198e-05, + "loss": 0.9287, + "step": 4761 + }, + { + "epoch": 0.4, + "learning_rate": 1.355098408901275e-05, + "loss": 0.9126, + "step": 4762 + }, + { + "epoch": 0.4, + "learning_rate": 1.3548417898748361e-05, + "loss": 0.9358, + "step": 4763 + }, + { + "epoch": 0.4, + "learning_rate": 1.354585144111998e-05, + "loss": 0.9041, + "step": 4764 + }, + { + "epoch": 0.4, + "learning_rate": 1.3543284716320989e-05, + "loss": 0.9377, + "step": 4765 + }, + { + "epoch": 0.4, + "learning_rate": 1.354071772454478e-05, + "loss": 0.9411, + "step": 4766 + }, + { + "epoch": 0.4, + "learning_rate": 1.3538150465984771e-05, + "loss": 0.8596, + "step": 4767 + }, + { + "epoch": 0.4, + "learning_rate": 1.35355829408344e-05, + "loss": 0.9266, + "step": 4768 + }, + { + "epoch": 0.4, + "learning_rate": 1.3533015149287123e-05, + "loss": 0.9506, + "step": 4769 + }, + { + "epoch": 0.4, + "learning_rate": 1.3530447091536413e-05, + "loss": 0.9097, + "step": 4770 + }, + { + "epoch": 0.4, + "learning_rate": 1.352787876777577e-05, + "loss": 0.958, + "step": 4771 + }, + { + "epoch": 0.4, + "learning_rate": 1.3525310178198707e-05, + "loss": 0.8672, + "step": 4772 + }, + { + "epoch": 0.4, + "learning_rate": 1.3522741322998764e-05, + "loss": 0.9267, + "step": 4773 + }, + { + "epoch": 0.4, + "learning_rate": 1.35201722023695e-05, + "loss": 0.9234, + "step": 4774 + }, + { + "epoch": 0.4, + "learning_rate": 1.3517602816504482e-05, + "loss": 0.8798, + "step": 4775 + }, + { + "epoch": 0.4, + "learning_rate": 1.3515033165597315e-05, + "loss": 0.921, + "step": 4776 + }, + { + "epoch": 0.4, + "learning_rate": 1.3512463249841613e-05, + "loss": 0.9186, + "step": 4777 + }, + { + "epoch": 0.4, + "learning_rate": 1.3509893069431011e-05, + "loss": 0.9137, + "step": 4778 + }, + { + "epoch": 0.41, + "learning_rate": 1.3507322624559165e-05, + "loss": 0.892, + "step": 4779 + }, + { + "epoch": 0.41, + "learning_rate": 1.3504751915419754e-05, + "loss": 0.9361, + "step": 4780 + }, + { + "epoch": 0.41, + "learning_rate": 1.3502180942206472e-05, + "loss": 0.9289, + "step": 4781 + }, + { + "epoch": 0.41, + "learning_rate": 1.3499609705113034e-05, + "loss": 0.9361, + "step": 4782 + }, + { + "epoch": 0.41, + "learning_rate": 1.3497038204333182e-05, + "loss": 0.923, + "step": 4783 + }, + { + "epoch": 0.41, + "learning_rate": 1.3494466440060667e-05, + "loss": 0.9581, + "step": 4784 + }, + { + "epoch": 0.41, + "learning_rate": 1.3491894412489264e-05, + "loss": 0.9317, + "step": 4785 + }, + { + "epoch": 0.41, + "learning_rate": 1.3489322121812772e-05, + "loss": 0.9577, + "step": 4786 + }, + { + "epoch": 0.41, + "learning_rate": 1.3486749568225002e-05, + "loss": 0.9366, + "step": 4787 + }, + { + "epoch": 0.41, + "learning_rate": 1.348417675191979e-05, + "loss": 0.9433, + "step": 4788 + }, + { + "epoch": 0.41, + "learning_rate": 1.3481603673090994e-05, + "loss": 0.9117, + "step": 4789 + }, + { + "epoch": 0.41, + "learning_rate": 1.3479030331932488e-05, + "loss": 0.943, + "step": 4790 + }, + { + "epoch": 0.41, + "learning_rate": 1.3476456728638168e-05, + "loss": 0.931, + "step": 4791 + }, + { + "epoch": 0.41, + "learning_rate": 1.3473882863401941e-05, + "loss": 0.8626, + "step": 4792 + }, + { + "epoch": 0.41, + "learning_rate": 1.347130873641775e-05, + "loss": 0.9189, + "step": 4793 + }, + { + "epoch": 0.41, + "learning_rate": 1.346873434787954e-05, + "loss": 0.9448, + "step": 4794 + }, + { + "epoch": 0.41, + "learning_rate": 1.3466159697981294e-05, + "loss": 0.9673, + "step": 4795 + }, + { + "epoch": 0.41, + "learning_rate": 1.3463584786916997e-05, + "loss": 0.9559, + "step": 4796 + }, + { + "epoch": 0.41, + "learning_rate": 1.3461009614880668e-05, + "loss": 0.606, + "step": 4797 + }, + { + "epoch": 0.41, + "learning_rate": 1.3458434182066333e-05, + "loss": 0.9373, + "step": 4798 + }, + { + "epoch": 0.41, + "learning_rate": 1.345585848866805e-05, + "loss": 0.8809, + "step": 4799 + }, + { + "epoch": 0.41, + "learning_rate": 1.3453282534879888e-05, + "loss": 0.9418, + "step": 4800 + }, + { + "epoch": 0.41, + "learning_rate": 1.3450706320895938e-05, + "loss": 0.9277, + "step": 4801 + }, + { + "epoch": 0.41, + "learning_rate": 1.3448129846910312e-05, + "loss": 0.9407, + "step": 4802 + }, + { + "epoch": 0.41, + "learning_rate": 1.344555311311714e-05, + "loss": 0.9363, + "step": 4803 + }, + { + "epoch": 0.41, + "learning_rate": 1.3442976119710571e-05, + "loss": 0.8941, + "step": 4804 + }, + { + "epoch": 0.41, + "learning_rate": 1.3440398866884781e-05, + "loss": 0.9335, + "step": 4805 + }, + { + "epoch": 0.41, + "learning_rate": 1.3437821354833951e-05, + "loss": 0.9211, + "step": 4806 + }, + { + "epoch": 0.41, + "learning_rate": 1.3435243583752294e-05, + "loss": 0.8966, + "step": 4807 + }, + { + "epoch": 0.41, + "learning_rate": 1.3432665553834036e-05, + "loss": 0.9082, + "step": 4808 + }, + { + "epoch": 0.41, + "learning_rate": 1.3430087265273426e-05, + "loss": 0.8894, + "step": 4809 + }, + { + "epoch": 0.41, + "learning_rate": 1.3427508718264732e-05, + "loss": 0.9563, + "step": 4810 + }, + { + "epoch": 0.41, + "learning_rate": 1.342492991300224e-05, + "loss": 0.89, + "step": 4811 + }, + { + "epoch": 0.41, + "learning_rate": 1.3422350849680258e-05, + "loss": 0.9358, + "step": 4812 + }, + { + "epoch": 0.41, + "learning_rate": 1.3419771528493108e-05, + "loss": 0.9692, + "step": 4813 + }, + { + "epoch": 0.41, + "learning_rate": 1.3417191949635137e-05, + "loss": 0.9383, + "step": 4814 + }, + { + "epoch": 0.41, + "learning_rate": 1.3414612113300714e-05, + "loss": 0.9222, + "step": 4815 + }, + { + "epoch": 0.41, + "learning_rate": 1.3412032019684213e-05, + "loss": 0.9254, + "step": 4816 + }, + { + "epoch": 0.41, + "learning_rate": 1.3409451668980047e-05, + "loss": 0.9882, + "step": 4817 + }, + { + "epoch": 0.41, + "learning_rate": 1.3406871061382632e-05, + "loss": 0.9107, + "step": 4818 + }, + { + "epoch": 0.41, + "learning_rate": 1.3404290197086414e-05, + "loss": 0.9253, + "step": 4819 + }, + { + "epoch": 0.41, + "learning_rate": 1.3401709076285854e-05, + "loss": 0.9, + "step": 4820 + }, + { + "epoch": 0.41, + "learning_rate": 1.3399127699175429e-05, + "loss": 0.9186, + "step": 4821 + }, + { + "epoch": 0.41, + "learning_rate": 1.3396546065949643e-05, + "loss": 0.9398, + "step": 4822 + }, + { + "epoch": 0.41, + "learning_rate": 1.3393964176803014e-05, + "loss": 0.9252, + "step": 4823 + }, + { + "epoch": 0.41, + "learning_rate": 1.339138203193008e-05, + "loss": 0.5643, + "step": 4824 + }, + { + "epoch": 0.41, + "learning_rate": 1.33887996315254e-05, + "loss": 0.9323, + "step": 4825 + }, + { + "epoch": 0.41, + "learning_rate": 1.338621697578355e-05, + "loss": 0.5746, + "step": 4826 + }, + { + "epoch": 0.41, + "learning_rate": 1.3383634064899127e-05, + "loss": 0.9284, + "step": 4827 + }, + { + "epoch": 0.41, + "learning_rate": 1.3381050899066748e-05, + "loss": 0.9487, + "step": 4828 + }, + { + "epoch": 0.41, + "learning_rate": 1.3378467478481043e-05, + "loss": 0.8995, + "step": 4829 + }, + { + "epoch": 0.41, + "learning_rate": 1.3375883803336671e-05, + "loss": 0.9494, + "step": 4830 + }, + { + "epoch": 0.41, + "learning_rate": 1.3373299873828303e-05, + "loss": 0.9419, + "step": 4831 + }, + { + "epoch": 0.41, + "learning_rate": 1.3370715690150631e-05, + "loss": 0.9512, + "step": 4832 + }, + { + "epoch": 0.41, + "learning_rate": 1.3368131252498366e-05, + "loss": 0.9222, + "step": 4833 + }, + { + "epoch": 0.41, + "learning_rate": 1.3365546561066242e-05, + "loss": 0.8913, + "step": 4834 + }, + { + "epoch": 0.41, + "learning_rate": 1.3362961616049006e-05, + "loss": 0.92, + "step": 4835 + }, + { + "epoch": 0.41, + "learning_rate": 1.3360376417641425e-05, + "loss": 0.9108, + "step": 4836 + }, + { + "epoch": 0.41, + "learning_rate": 1.3357790966038292e-05, + "loss": 0.9137, + "step": 4837 + }, + { + "epoch": 0.41, + "learning_rate": 1.3355205261434408e-05, + "loss": 0.9289, + "step": 4838 + }, + { + "epoch": 0.41, + "learning_rate": 1.3352619304024606e-05, + "loss": 0.954, + "step": 4839 + }, + { + "epoch": 0.41, + "learning_rate": 1.3350033094003724e-05, + "loss": 0.971, + "step": 4840 + }, + { + "epoch": 0.41, + "learning_rate": 1.334744663156663e-05, + "loss": 0.8958, + "step": 4841 + }, + { + "epoch": 0.41, + "learning_rate": 1.3344859916908206e-05, + "loss": 0.9468, + "step": 4842 + }, + { + "epoch": 0.41, + "learning_rate": 1.3342272950223359e-05, + "loss": 0.939, + "step": 4843 + }, + { + "epoch": 0.41, + "learning_rate": 1.3339685731707002e-05, + "loss": 0.9297, + "step": 4844 + }, + { + "epoch": 0.41, + "learning_rate": 1.333709826155408e-05, + "loss": 0.9424, + "step": 4845 + }, + { + "epoch": 0.41, + "learning_rate": 1.3334510539959551e-05, + "loss": 0.9136, + "step": 4846 + }, + { + "epoch": 0.41, + "learning_rate": 1.3331922567118394e-05, + "loss": 0.9365, + "step": 4847 + }, + { + "epoch": 0.41, + "learning_rate": 1.3329334343225607e-05, + "loss": 0.9311, + "step": 4848 + }, + { + "epoch": 0.41, + "learning_rate": 1.33267458684762e-05, + "loss": 0.948, + "step": 4849 + }, + { + "epoch": 0.41, + "learning_rate": 1.3324157143065213e-05, + "loss": 0.9045, + "step": 4850 + }, + { + "epoch": 0.41, + "learning_rate": 1.3321568167187699e-05, + "loss": 0.9481, + "step": 4851 + }, + { + "epoch": 0.41, + "learning_rate": 1.331897894103873e-05, + "loss": 0.879, + "step": 4852 + }, + { + "epoch": 0.41, + "learning_rate": 1.3316389464813397e-05, + "loss": 0.8966, + "step": 4853 + }, + { + "epoch": 0.41, + "learning_rate": 1.3313799738706812e-05, + "loss": 0.8814, + "step": 4854 + }, + { + "epoch": 0.41, + "learning_rate": 1.3311209762914104e-05, + "loss": 0.9255, + "step": 4855 + }, + { + "epoch": 0.41, + "learning_rate": 1.3308619537630416e-05, + "loss": 0.9334, + "step": 4856 + }, + { + "epoch": 0.41, + "learning_rate": 1.330602906305092e-05, + "loss": 0.911, + "step": 4857 + }, + { + "epoch": 0.41, + "learning_rate": 1.33034383393708e-05, + "loss": 0.908, + "step": 4858 + }, + { + "epoch": 0.41, + "learning_rate": 1.3300847366785261e-05, + "loss": 0.905, + "step": 4859 + }, + { + "epoch": 0.41, + "learning_rate": 1.3298256145489524e-05, + "loss": 0.9056, + "step": 4860 + }, + { + "epoch": 0.41, + "learning_rate": 1.329566467567883e-05, + "loss": 0.9321, + "step": 4861 + }, + { + "epoch": 0.41, + "learning_rate": 1.3293072957548443e-05, + "loss": 0.8875, + "step": 4862 + }, + { + "epoch": 0.41, + "learning_rate": 1.3290480991293642e-05, + "loss": 0.9267, + "step": 4863 + }, + { + "epoch": 0.41, + "learning_rate": 1.3287888777109721e-05, + "loss": 0.8802, + "step": 4864 + }, + { + "epoch": 0.41, + "learning_rate": 1.3285296315192e-05, + "loss": 0.8608, + "step": 4865 + }, + { + "epoch": 0.41, + "learning_rate": 1.3282703605735811e-05, + "loss": 0.9281, + "step": 4866 + }, + { + "epoch": 0.41, + "learning_rate": 1.3280110648936512e-05, + "loss": 0.8969, + "step": 4867 + }, + { + "epoch": 0.41, + "learning_rate": 1.3277517444989476e-05, + "loss": 0.9212, + "step": 4868 + }, + { + "epoch": 0.41, + "learning_rate": 1.3274923994090088e-05, + "loss": 0.8921, + "step": 4869 + }, + { + "epoch": 0.41, + "learning_rate": 1.3272330296433761e-05, + "loss": 0.9338, + "step": 4870 + }, + { + "epoch": 0.41, + "learning_rate": 1.3269736352215925e-05, + "loss": 0.9175, + "step": 4871 + }, + { + "epoch": 0.41, + "learning_rate": 1.3267142161632025e-05, + "loss": 0.9211, + "step": 4872 + }, + { + "epoch": 0.41, + "learning_rate": 1.3264547724877525e-05, + "loss": 0.9585, + "step": 4873 + }, + { + "epoch": 0.41, + "learning_rate": 1.3261953042147915e-05, + "loss": 0.9228, + "step": 4874 + }, + { + "epoch": 0.41, + "learning_rate": 1.325935811363869e-05, + "loss": 0.8718, + "step": 4875 + }, + { + "epoch": 0.41, + "learning_rate": 1.3256762939545375e-05, + "loss": 0.9237, + "step": 4876 + }, + { + "epoch": 0.41, + "learning_rate": 1.325416752006351e-05, + "loss": 0.9294, + "step": 4877 + }, + { + "epoch": 0.41, + "learning_rate": 1.3251571855388652e-05, + "loss": 0.8912, + "step": 4878 + }, + { + "epoch": 0.41, + "learning_rate": 1.3248975945716378e-05, + "loss": 0.9546, + "step": 4879 + }, + { + "epoch": 0.41, + "learning_rate": 1.3246379791242284e-05, + "loss": 0.9082, + "step": 4880 + }, + { + "epoch": 0.41, + "learning_rate": 1.3243783392161977e-05, + "loss": 0.9148, + "step": 4881 + }, + { + "epoch": 0.41, + "learning_rate": 1.32411867486711e-05, + "loss": 0.9275, + "step": 4882 + }, + { + "epoch": 0.41, + "learning_rate": 1.3238589860965295e-05, + "loss": 0.9136, + "step": 4883 + }, + { + "epoch": 0.41, + "learning_rate": 1.3235992729240232e-05, + "loss": 0.973, + "step": 4884 + }, + { + "epoch": 0.41, + "learning_rate": 1.3233395353691598e-05, + "loss": 0.944, + "step": 4885 + }, + { + "epoch": 0.41, + "learning_rate": 1.3230797734515102e-05, + "loss": 0.9304, + "step": 4886 + }, + { + "epoch": 0.41, + "learning_rate": 1.3228199871906465e-05, + "loss": 0.957, + "step": 4887 + }, + { + "epoch": 0.41, + "learning_rate": 1.322560176606143e-05, + "loss": 0.9565, + "step": 4888 + }, + { + "epoch": 0.41, + "learning_rate": 1.3223003417175755e-05, + "loss": 0.9193, + "step": 4889 + }, + { + "epoch": 0.41, + "learning_rate": 1.322040482544522e-05, + "loss": 0.9459, + "step": 4890 + }, + { + "epoch": 0.41, + "learning_rate": 1.3217805991065624e-05, + "loss": 0.9183, + "step": 4891 + }, + { + "epoch": 0.41, + "learning_rate": 1.321520691423278e-05, + "loss": 0.9167, + "step": 4892 + }, + { + "epoch": 0.41, + "learning_rate": 1.3212607595142525e-05, + "loss": 0.8745, + "step": 4893 + }, + { + "epoch": 0.41, + "learning_rate": 1.3210008033990706e-05, + "loss": 0.9536, + "step": 4894 + }, + { + "epoch": 0.41, + "learning_rate": 1.3207408230973198e-05, + "loss": 0.8929, + "step": 4895 + }, + { + "epoch": 0.41, + "learning_rate": 1.3204808186285884e-05, + "loss": 0.9242, + "step": 4896 + }, + { + "epoch": 0.42, + "learning_rate": 1.3202207900124677e-05, + "loss": 0.9306, + "step": 4897 + }, + { + "epoch": 0.42, + "learning_rate": 1.3199607372685497e-05, + "loss": 0.9401, + "step": 4898 + }, + { + "epoch": 0.42, + "learning_rate": 1.3197006604164289e-05, + "loss": 0.9552, + "step": 4899 + }, + { + "epoch": 0.42, + "learning_rate": 1.3194405594757012e-05, + "loss": 0.9484, + "step": 4900 + }, + { + "epoch": 0.42, + "learning_rate": 1.3191804344659647e-05, + "loss": 0.9143, + "step": 4901 + }, + { + "epoch": 0.42, + "learning_rate": 1.3191804344659647e-05, + "loss": 0.917, + "step": 4902 + }, + { + "epoch": 0.42, + "learning_rate": 1.318920285406819e-05, + "loss": 0.9529, + "step": 4903 + }, + { + "epoch": 0.42, + "learning_rate": 1.3186601123178658e-05, + "loss": 0.9029, + "step": 4904 + }, + { + "epoch": 0.42, + "learning_rate": 1.3183999152187084e-05, + "loss": 0.914, + "step": 4905 + }, + { + "epoch": 0.42, + "learning_rate": 1.3181396941289521e-05, + "loss": 0.9231, + "step": 4906 + }, + { + "epoch": 0.42, + "learning_rate": 1.3178794490682036e-05, + "loss": 0.9228, + "step": 4907 + }, + { + "epoch": 0.42, + "learning_rate": 1.317619180056072e-05, + "loss": 0.9326, + "step": 4908 + }, + { + "epoch": 0.42, + "learning_rate": 1.3173588871121674e-05, + "loss": 0.9377, + "step": 4909 + }, + { + "epoch": 0.42, + "learning_rate": 1.317098570256103e-05, + "loss": 0.9253, + "step": 4910 + }, + { + "epoch": 0.42, + "learning_rate": 1.3168382295074923e-05, + "loss": 0.9572, + "step": 4911 + }, + { + "epoch": 0.42, + "learning_rate": 1.3165778648859515e-05, + "loss": 0.9374, + "step": 4912 + }, + { + "epoch": 0.42, + "learning_rate": 1.3163174764110985e-05, + "loss": 0.9624, + "step": 4913 + }, + { + "epoch": 0.42, + "learning_rate": 1.3160570641025526e-05, + "loss": 0.9649, + "step": 4914 + }, + { + "epoch": 0.42, + "learning_rate": 1.3157966279799352e-05, + "loss": 0.9076, + "step": 4915 + }, + { + "epoch": 0.42, + "learning_rate": 1.3155361680628698e-05, + "loss": 0.5757, + "step": 4916 + }, + { + "epoch": 0.42, + "learning_rate": 1.3152756843709814e-05, + "loss": 0.9588, + "step": 4917 + }, + { + "epoch": 0.42, + "learning_rate": 1.3150151769238964e-05, + "loss": 0.9363, + "step": 4918 + }, + { + "epoch": 0.42, + "learning_rate": 1.3147546457412435e-05, + "loss": 0.8886, + "step": 4919 + }, + { + "epoch": 0.42, + "learning_rate": 1.3144940908426532e-05, + "loss": 0.9373, + "step": 4920 + }, + { + "epoch": 0.42, + "learning_rate": 1.3142335122477575e-05, + "loss": 0.9018, + "step": 4921 + }, + { + "epoch": 0.42, + "learning_rate": 1.31397290997619e-05, + "loss": 0.9107, + "step": 4922 + }, + { + "epoch": 0.42, + "learning_rate": 1.313712284047587e-05, + "loss": 0.9289, + "step": 4923 + }, + { + "epoch": 0.42, + "learning_rate": 1.3134516344815857e-05, + "loss": 0.9521, + "step": 4924 + }, + { + "epoch": 0.42, + "learning_rate": 1.3131909612978254e-05, + "loss": 0.5245, + "step": 4925 + }, + { + "epoch": 0.42, + "learning_rate": 1.312930264515947e-05, + "loss": 0.9103, + "step": 4926 + }, + { + "epoch": 0.42, + "learning_rate": 1.3126695441555935e-05, + "loss": 0.9325, + "step": 4927 + }, + { + "epoch": 0.42, + "learning_rate": 1.3124088002364093e-05, + "loss": 0.9492, + "step": 4928 + }, + { + "epoch": 0.42, + "learning_rate": 1.3121480327780409e-05, + "loss": 0.9488, + "step": 4929 + }, + { + "epoch": 0.42, + "learning_rate": 1.3118872418001365e-05, + "loss": 0.9347, + "step": 4930 + }, + { + "epoch": 0.42, + "learning_rate": 1.3116264273223459e-05, + "loss": 0.9213, + "step": 4931 + }, + { + "epoch": 0.42, + "learning_rate": 1.3113655893643208e-05, + "loss": 0.9386, + "step": 4932 + }, + { + "epoch": 0.42, + "learning_rate": 1.311104727945715e-05, + "loss": 0.8964, + "step": 4933 + }, + { + "epoch": 0.42, + "learning_rate": 1.3108438430861832e-05, + "loss": 0.9254, + "step": 4934 + }, + { + "epoch": 0.42, + "learning_rate": 1.3105829348053824e-05, + "loss": 0.9661, + "step": 4935 + }, + { + "epoch": 0.42, + "learning_rate": 1.3103220031229717e-05, + "loss": 0.8953, + "step": 4936 + }, + { + "epoch": 0.42, + "learning_rate": 1.3100610480586115e-05, + "loss": 0.9171, + "step": 4937 + }, + { + "epoch": 0.42, + "learning_rate": 1.3098000696319642e-05, + "loss": 0.9233, + "step": 4938 + }, + { + "epoch": 0.42, + "learning_rate": 1.3095390678626935e-05, + "loss": 0.9052, + "step": 4939 + }, + { + "epoch": 0.42, + "learning_rate": 1.3092780427704655e-05, + "loss": 0.9023, + "step": 4940 + }, + { + "epoch": 0.42, + "learning_rate": 1.3090169943749475e-05, + "loss": 0.9191, + "step": 4941 + }, + { + "epoch": 0.42, + "learning_rate": 1.3087559226958092e-05, + "loss": 0.9095, + "step": 4942 + }, + { + "epoch": 0.42, + "learning_rate": 1.3084948277527211e-05, + "loss": 0.9415, + "step": 4943 + }, + { + "epoch": 0.42, + "learning_rate": 1.3082337095653569e-05, + "loss": 0.8753, + "step": 4944 + }, + { + "epoch": 0.42, + "learning_rate": 1.3079725681533902e-05, + "loss": 0.9114, + "step": 4945 + }, + { + "epoch": 0.42, + "learning_rate": 1.3077114035364978e-05, + "loss": 0.9625, + "step": 4946 + }, + { + "epoch": 0.42, + "learning_rate": 1.3074502157343575e-05, + "loss": 0.9711, + "step": 4947 + }, + { + "epoch": 0.42, + "learning_rate": 1.3071890047666498e-05, + "loss": 0.8443, + "step": 4948 + }, + { + "epoch": 0.42, + "learning_rate": 1.3069277706530555e-05, + "loss": 0.9282, + "step": 4949 + }, + { + "epoch": 0.42, + "learning_rate": 1.3066665134132584e-05, + "loss": 0.8553, + "step": 4950 + }, + { + "epoch": 0.42, + "learning_rate": 1.306405233066943e-05, + "loss": 0.9566, + "step": 4951 + }, + { + "epoch": 0.42, + "learning_rate": 1.3061439296337968e-05, + "loss": 0.8968, + "step": 4952 + }, + { + "epoch": 0.42, + "learning_rate": 1.305882603133508e-05, + "loss": 0.9065, + "step": 4953 + }, + { + "epoch": 0.42, + "learning_rate": 1.3056212535857666e-05, + "loss": 0.962, + "step": 4954 + }, + { + "epoch": 0.42, + "learning_rate": 1.3053598810102647e-05, + "loss": 0.9022, + "step": 4955 + }, + { + "epoch": 0.42, + "learning_rate": 1.3050984854266963e-05, + "loss": 0.9076, + "step": 4956 + }, + { + "epoch": 0.42, + "learning_rate": 1.304837066854757e-05, + "loss": 0.9155, + "step": 4957 + }, + { + "epoch": 0.42, + "learning_rate": 1.3045756253141435e-05, + "loss": 0.8679, + "step": 4958 + }, + { + "epoch": 0.42, + "learning_rate": 1.3043141608245551e-05, + "loss": 0.9257, + "step": 4959 + }, + { + "epoch": 0.42, + "learning_rate": 1.3040526734056922e-05, + "loss": 0.8625, + "step": 4960 + }, + { + "epoch": 0.42, + "learning_rate": 1.3037911630772576e-05, + "loss": 0.9045, + "step": 4961 + }, + { + "epoch": 0.42, + "learning_rate": 1.3035296298589549e-05, + "loss": 0.9044, + "step": 4962 + }, + { + "epoch": 0.42, + "learning_rate": 1.3032680737704902e-05, + "loss": 0.8912, + "step": 4963 + }, + { + "epoch": 0.42, + "learning_rate": 1.303006494831571e-05, + "loss": 0.9012, + "step": 4964 + }, + { + "epoch": 0.42, + "learning_rate": 1.302744893061907e-05, + "loss": 0.8932, + "step": 4965 + }, + { + "epoch": 0.42, + "learning_rate": 1.3024832684812086e-05, + "loss": 0.8945, + "step": 4966 + }, + { + "epoch": 0.42, + "learning_rate": 1.3022216211091887e-05, + "loss": 0.9711, + "step": 4967 + }, + { + "epoch": 0.42, + "learning_rate": 1.301959950965562e-05, + "loss": 0.5354, + "step": 4968 + }, + { + "epoch": 0.42, + "learning_rate": 1.3016982580700444e-05, + "loss": 0.8967, + "step": 4969 + }, + { + "epoch": 0.42, + "learning_rate": 1.3014365424423539e-05, + "loss": 0.9731, + "step": 4970 + }, + { + "epoch": 0.42, + "learning_rate": 1.3011748041022101e-05, + "loss": 0.9296, + "step": 4971 + }, + { + "epoch": 0.42, + "learning_rate": 1.3009130430693342e-05, + "loss": 0.9183, + "step": 4972 + }, + { + "epoch": 0.42, + "learning_rate": 1.3006512593634492e-05, + "loss": 0.5537, + "step": 4973 + }, + { + "epoch": 0.42, + "learning_rate": 1.3003894530042803e-05, + "loss": 0.6401, + "step": 4974 + }, + { + "epoch": 0.42, + "learning_rate": 1.300127624011553e-05, + "loss": 0.942, + "step": 4975 + }, + { + "epoch": 0.42, + "learning_rate": 1.299865772404996e-05, + "loss": 0.5824, + "step": 4976 + }, + { + "epoch": 0.42, + "learning_rate": 1.299603898204339e-05, + "loss": 0.9164, + "step": 4977 + }, + { + "epoch": 0.42, + "learning_rate": 1.2993420014293139e-05, + "loss": 0.9237, + "step": 4978 + }, + { + "epoch": 0.42, + "learning_rate": 1.2990800820996534e-05, + "loss": 0.9164, + "step": 4979 + }, + { + "epoch": 0.42, + "learning_rate": 1.2988181402350926e-05, + "loss": 0.9161, + "step": 4980 + }, + { + "epoch": 0.42, + "learning_rate": 1.2985561758553683e-05, + "loss": 0.8998, + "step": 4981 + }, + { + "epoch": 0.42, + "learning_rate": 1.2982941889802188e-05, + "loss": 0.8722, + "step": 4982 + }, + { + "epoch": 0.42, + "learning_rate": 1.2980321796293838e-05, + "loss": 0.894, + "step": 4983 + }, + { + "epoch": 0.42, + "learning_rate": 1.2977701478226054e-05, + "loss": 0.8963, + "step": 4984 + }, + { + "epoch": 0.42, + "learning_rate": 1.297508093579627e-05, + "loss": 0.902, + "step": 4985 + }, + { + "epoch": 0.42, + "learning_rate": 1.2972460169201933e-05, + "loss": 0.9591, + "step": 4986 + }, + { + "epoch": 0.42, + "learning_rate": 1.2969839178640515e-05, + "loss": 0.9437, + "step": 4987 + }, + { + "epoch": 0.42, + "learning_rate": 1.29672179643095e-05, + "loss": 0.9128, + "step": 4988 + }, + { + "epoch": 0.42, + "learning_rate": 1.296459652640639e-05, + "loss": 0.9095, + "step": 4989 + }, + { + "epoch": 0.42, + "learning_rate": 1.29619748651287e-05, + "loss": 0.9378, + "step": 4990 + }, + { + "epoch": 0.42, + "learning_rate": 1.2959352980673969e-05, + "loss": 0.929, + "step": 4991 + }, + { + "epoch": 0.42, + "learning_rate": 1.2956730873239746e-05, + "loss": 0.9641, + "step": 4992 + }, + { + "epoch": 0.42, + "learning_rate": 1.2954108543023605e-05, + "loss": 0.922, + "step": 4993 + }, + { + "epoch": 0.42, + "learning_rate": 1.2951485990223127e-05, + "loss": 0.9412, + "step": 4994 + }, + { + "epoch": 0.42, + "learning_rate": 1.2948863215035918e-05, + "loss": 0.9227, + "step": 4995 + }, + { + "epoch": 0.42, + "learning_rate": 1.2946240217659596e-05, + "loss": 0.9234, + "step": 4996 + }, + { + "epoch": 0.42, + "learning_rate": 1.2943616998291793e-05, + "loss": 0.9172, + "step": 4997 + }, + { + "epoch": 0.42, + "learning_rate": 1.2940993557130166e-05, + "loss": 0.9067, + "step": 4998 + }, + { + "epoch": 0.42, + "learning_rate": 1.2938369894372382e-05, + "loss": 0.8835, + "step": 4999 + }, + { + "epoch": 0.42, + "learning_rate": 1.293574601021613e-05, + "loss": 0.9172, + "step": 5000 + }, + { + "epoch": 0.42, + "learning_rate": 1.2933121904859111e-05, + "loss": 0.8687, + "step": 5001 + }, + { + "epoch": 0.42, + "learning_rate": 1.2930497578499047e-05, + "loss": 0.9552, + "step": 5002 + }, + { + "epoch": 0.42, + "learning_rate": 1.2927873031333666e-05, + "loss": 0.9018, + "step": 5003 + }, + { + "epoch": 0.42, + "learning_rate": 1.2925248263560733e-05, + "loss": 0.9168, + "step": 5004 + }, + { + "epoch": 0.42, + "learning_rate": 1.2922623275378011e-05, + "loss": 0.6258, + "step": 5005 + }, + { + "epoch": 0.42, + "learning_rate": 1.2919998066983279e-05, + "loss": 0.9427, + "step": 5006 + }, + { + "epoch": 0.42, + "learning_rate": 1.291737263857435e-05, + "loss": 0.9091, + "step": 5007 + }, + { + "epoch": 0.42, + "learning_rate": 1.2914746990349041e-05, + "loss": 0.9798, + "step": 5008 + }, + { + "epoch": 0.42, + "learning_rate": 1.2912121122505186e-05, + "loss": 0.8796, + "step": 5009 + }, + { + "epoch": 0.42, + "learning_rate": 1.2909495035240638e-05, + "loss": 0.9089, + "step": 5010 + }, + { + "epoch": 0.42, + "learning_rate": 1.2906868728753264e-05, + "loss": 0.9491, + "step": 5011 + }, + { + "epoch": 0.42, + "learning_rate": 1.290424220324095e-05, + "loss": 0.9371, + "step": 5012 + }, + { + "epoch": 0.42, + "learning_rate": 1.2901615458901602e-05, + "loss": 0.9827, + "step": 5013 + }, + { + "epoch": 0.42, + "learning_rate": 1.2898988495933132e-05, + "loss": 0.9589, + "step": 5014 + }, + { + "epoch": 0.43, + "learning_rate": 1.2896361314533478e-05, + "loss": 0.5648, + "step": 5015 + }, + { + "epoch": 0.43, + "learning_rate": 1.2893733914900595e-05, + "loss": 0.9202, + "step": 5016 + }, + { + "epoch": 0.43, + "learning_rate": 1.2891106297232442e-05, + "loss": 0.942, + "step": 5017 + }, + { + "epoch": 0.43, + "learning_rate": 1.288847846172701e-05, + "loss": 0.8869, + "step": 5018 + }, + { + "epoch": 0.43, + "learning_rate": 1.2885850408582295e-05, + "loss": 0.8878, + "step": 5019 + }, + { + "epoch": 0.43, + "learning_rate": 1.2883222137996316e-05, + "loss": 0.9676, + "step": 5020 + }, + { + "epoch": 0.43, + "learning_rate": 1.2880593650167107e-05, + "loss": 0.9837, + "step": 5021 + }, + { + "epoch": 0.43, + "learning_rate": 1.2877964945292717e-05, + "loss": 0.9039, + "step": 5022 + }, + { + "epoch": 0.43, + "learning_rate": 1.2875336023571215e-05, + "loss": 0.8938, + "step": 5023 + }, + { + "epoch": 0.43, + "learning_rate": 1.2872706885200676e-05, + "loss": 0.8949, + "step": 5024 + }, + { + "epoch": 0.43, + "learning_rate": 1.2870077530379205e-05, + "loss": 0.925, + "step": 5025 + }, + { + "epoch": 0.43, + "learning_rate": 1.2867447959304918e-05, + "loss": 0.9262, + "step": 5026 + }, + { + "epoch": 0.43, + "learning_rate": 1.2864818172175938e-05, + "loss": 0.8921, + "step": 5027 + }, + { + "epoch": 0.43, + "learning_rate": 1.2862188169190419e-05, + "loss": 0.8891, + "step": 5028 + }, + { + "epoch": 0.43, + "learning_rate": 1.2859557950546527e-05, + "loss": 0.9342, + "step": 5029 + }, + { + "epoch": 0.43, + "learning_rate": 1.2856927516442435e-05, + "loss": 0.9543, + "step": 5030 + }, + { + "epoch": 0.43, + "learning_rate": 1.2854296867076346e-05, + "loss": 0.9661, + "step": 5031 + }, + { + "epoch": 0.43, + "learning_rate": 1.2851666002646468e-05, + "loss": 0.9154, + "step": 5032 + }, + { + "epoch": 0.43, + "learning_rate": 1.2849034923351034e-05, + "loss": 0.9167, + "step": 5033 + }, + { + "epoch": 0.43, + "learning_rate": 1.2846403629388285e-05, + "loss": 0.9046, + "step": 5034 + }, + { + "epoch": 0.43, + "learning_rate": 1.2843772120956483e-05, + "loss": 0.9194, + "step": 5035 + }, + { + "epoch": 0.43, + "learning_rate": 1.2841140398253907e-05, + "loss": 0.8946, + "step": 5036 + }, + { + "epoch": 0.43, + "learning_rate": 1.283850846147885e-05, + "loss": 0.9229, + "step": 5037 + }, + { + "epoch": 0.43, + "learning_rate": 1.2835876310829619e-05, + "loss": 0.9545, + "step": 5038 + }, + { + "epoch": 0.43, + "learning_rate": 1.2833243946504541e-05, + "loss": 0.8873, + "step": 5039 + }, + { + "epoch": 0.43, + "learning_rate": 1.2830611368701957e-05, + "loss": 0.9222, + "step": 5040 + }, + { + "epoch": 0.43, + "learning_rate": 1.2827978577620228e-05, + "loss": 0.9332, + "step": 5041 + }, + { + "epoch": 0.43, + "learning_rate": 1.2825345573457723e-05, + "loss": 0.925, + "step": 5042 + }, + { + "epoch": 0.43, + "learning_rate": 1.282271235641284e-05, + "loss": 0.9603, + "step": 5043 + }, + { + "epoch": 0.43, + "learning_rate": 1.2820078926683976e-05, + "loss": 0.8738, + "step": 5044 + }, + { + "epoch": 0.43, + "learning_rate": 1.2817445284469556e-05, + "loss": 0.9216, + "step": 5045 + }, + { + "epoch": 0.43, + "learning_rate": 1.2814811429968022e-05, + "loss": 0.9474, + "step": 5046 + }, + { + "epoch": 0.43, + "learning_rate": 1.2812177363377825e-05, + "loss": 0.8679, + "step": 5047 + }, + { + "epoch": 0.43, + "learning_rate": 1.2809543084897434e-05, + "loss": 0.954, + "step": 5048 + }, + { + "epoch": 0.43, + "learning_rate": 1.2806908594725335e-05, + "loss": 0.8834, + "step": 5049 + }, + { + "epoch": 0.43, + "learning_rate": 1.2804273893060028e-05, + "loss": 0.9139, + "step": 5050 + }, + { + "epoch": 0.43, + "learning_rate": 1.2801638980100038e-05, + "loss": 0.9036, + "step": 5051 + }, + { + "epoch": 0.43, + "learning_rate": 1.2799003856043893e-05, + "loss": 0.9045, + "step": 5052 + }, + { + "epoch": 0.43, + "learning_rate": 1.2796368521090143e-05, + "loss": 0.8985, + "step": 5053 + }, + { + "epoch": 0.43, + "learning_rate": 1.2793732975437357e-05, + "loss": 0.9082, + "step": 5054 + }, + { + "epoch": 0.43, + "learning_rate": 1.2791097219284115e-05, + "loss": 0.8905, + "step": 5055 + }, + { + "epoch": 0.43, + "learning_rate": 1.2788461252829009e-05, + "loss": 0.9199, + "step": 5056 + }, + { + "epoch": 0.43, + "learning_rate": 1.2785825076270662e-05, + "loss": 0.8824, + "step": 5057 + }, + { + "epoch": 0.43, + "learning_rate": 1.2783188689807697e-05, + "loss": 0.9052, + "step": 5058 + }, + { + "epoch": 0.43, + "learning_rate": 1.2780552093638757e-05, + "loss": 0.9412, + "step": 5059 + }, + { + "epoch": 0.43, + "learning_rate": 1.2777915287962506e-05, + "loss": 0.917, + "step": 5060 + }, + { + "epoch": 0.43, + "learning_rate": 1.277527827297762e-05, + "loss": 0.9026, + "step": 5061 + }, + { + "epoch": 0.43, + "learning_rate": 1.2772641048882787e-05, + "loss": 0.9241, + "step": 5062 + }, + { + "epoch": 0.43, + "learning_rate": 1.2770003615876725e-05, + "loss": 0.9677, + "step": 5063 + }, + { + "epoch": 0.43, + "learning_rate": 1.2767365974158146e-05, + "loss": 0.8943, + "step": 5064 + }, + { + "epoch": 0.43, + "learning_rate": 1.2764728123925796e-05, + "loss": 0.9283, + "step": 5065 + }, + { + "epoch": 0.43, + "learning_rate": 1.276209006537843e-05, + "loss": 0.8518, + "step": 5066 + }, + { + "epoch": 0.43, + "learning_rate": 1.2759451798714816e-05, + "loss": 0.9287, + "step": 5067 + }, + { + "epoch": 0.43, + "learning_rate": 1.2756813324133746e-05, + "loss": 0.9189, + "step": 5068 + }, + { + "epoch": 0.43, + "learning_rate": 1.2754174641834014e-05, + "loss": 0.9561, + "step": 5069 + }, + { + "epoch": 0.43, + "learning_rate": 1.2751535752014444e-05, + "loss": 0.9341, + "step": 5070 + }, + { + "epoch": 0.43, + "learning_rate": 1.2748896654873865e-05, + "loss": 0.9586, + "step": 5071 + }, + { + "epoch": 0.43, + "learning_rate": 1.2746257350611129e-05, + "loss": 0.9705, + "step": 5072 + }, + { + "epoch": 0.43, + "learning_rate": 1.27436178394251e-05, + "loss": 0.952, + "step": 5073 + }, + { + "epoch": 0.43, + "learning_rate": 1.2740978121514659e-05, + "loss": 0.9256, + "step": 5074 + }, + { + "epoch": 0.43, + "learning_rate": 1.27383381970787e-05, + "loss": 0.9403, + "step": 5075 + }, + { + "epoch": 0.43, + "learning_rate": 1.2735698066316138e-05, + "loss": 0.9494, + "step": 5076 + }, + { + "epoch": 0.43, + "learning_rate": 1.2733057729425898e-05, + "loss": 0.9755, + "step": 5077 + }, + { + "epoch": 0.43, + "learning_rate": 1.273041718660692e-05, + "loss": 0.9148, + "step": 5078 + }, + { + "epoch": 0.43, + "learning_rate": 1.2727776438058166e-05, + "loss": 0.9258, + "step": 5079 + }, + { + "epoch": 0.43, + "learning_rate": 1.2725135483978606e-05, + "loss": 0.9086, + "step": 5080 + }, + { + "epoch": 0.43, + "learning_rate": 1.2722494324567229e-05, + "loss": 0.8655, + "step": 5081 + }, + { + "epoch": 0.43, + "learning_rate": 1.2719852960023043e-05, + "loss": 0.9105, + "step": 5082 + }, + { + "epoch": 0.43, + "learning_rate": 1.2717211390545065e-05, + "loss": 0.9277, + "step": 5083 + }, + { + "epoch": 0.43, + "learning_rate": 1.271456961633233e-05, + "loss": 0.9022, + "step": 5084 + }, + { + "epoch": 0.43, + "learning_rate": 1.2711927637583892e-05, + "loss": 0.9232, + "step": 5085 + }, + { + "epoch": 0.43, + "learning_rate": 1.2709285454498812e-05, + "loss": 0.8547, + "step": 5086 + }, + { + "epoch": 0.43, + "learning_rate": 1.2706643067276177e-05, + "loss": 0.8825, + "step": 5087 + }, + { + "epoch": 0.43, + "learning_rate": 1.2704000476115079e-05, + "loss": 0.9016, + "step": 5088 + }, + { + "epoch": 0.43, + "learning_rate": 1.2701357681214637e-05, + "loss": 0.8761, + "step": 5089 + }, + { + "epoch": 0.43, + "learning_rate": 1.2698714682773971e-05, + "loss": 0.9003, + "step": 5090 + }, + { + "epoch": 0.43, + "learning_rate": 1.2696071480992229e-05, + "loss": 0.8976, + "step": 5091 + }, + { + "epoch": 0.43, + "learning_rate": 1.2693428076068567e-05, + "loss": 0.9161, + "step": 5092 + }, + { + "epoch": 0.43, + "learning_rate": 1.269078446820216e-05, + "loss": 0.8976, + "step": 5093 + }, + { + "epoch": 0.43, + "learning_rate": 1.2688140657592195e-05, + "loss": 0.9247, + "step": 5094 + }, + { + "epoch": 0.43, + "learning_rate": 1.2685496644437879e-05, + "loss": 0.9198, + "step": 5095 + }, + { + "epoch": 0.43, + "learning_rate": 1.2682852428938429e-05, + "loss": 0.886, + "step": 5096 + }, + { + "epoch": 0.43, + "learning_rate": 1.268020801129308e-05, + "loss": 0.9238, + "step": 5097 + }, + { + "epoch": 0.43, + "learning_rate": 1.2677563391701083e-05, + "loss": 0.8679, + "step": 5098 + }, + { + "epoch": 0.43, + "learning_rate": 1.2674918570361706e-05, + "loss": 0.9404, + "step": 5099 + }, + { + "epoch": 0.43, + "learning_rate": 1.2672273547474225e-05, + "loss": 0.9454, + "step": 5100 + }, + { + "epoch": 0.43, + "learning_rate": 1.2669628323237937e-05, + "loss": 0.8882, + "step": 5101 + }, + { + "epoch": 0.43, + "learning_rate": 1.266698289785215e-05, + "loss": 0.9223, + "step": 5102 + }, + { + "epoch": 0.43, + "learning_rate": 1.2664337271516194e-05, + "loss": 0.9136, + "step": 5103 + }, + { + "epoch": 0.43, + "learning_rate": 1.2661691444429409e-05, + "loss": 0.8963, + "step": 5104 + }, + { + "epoch": 0.43, + "learning_rate": 1.2659045416791149e-05, + "loss": 0.8592, + "step": 5105 + }, + { + "epoch": 0.43, + "learning_rate": 1.2656399188800788e-05, + "loss": 0.9341, + "step": 5106 + }, + { + "epoch": 0.43, + "learning_rate": 1.2653752760657709e-05, + "loss": 0.9496, + "step": 5107 + }, + { + "epoch": 0.43, + "learning_rate": 1.2651106132561317e-05, + "loss": 0.9126, + "step": 5108 + }, + { + "epoch": 0.43, + "learning_rate": 1.2648459304711026e-05, + "loss": 0.8837, + "step": 5109 + }, + { + "epoch": 0.43, + "learning_rate": 1.264581227730627e-05, + "loss": 0.9372, + "step": 5110 + }, + { + "epoch": 0.43, + "learning_rate": 1.2643165050546495e-05, + "loss": 0.9305, + "step": 5111 + }, + { + "epoch": 0.43, + "learning_rate": 1.264051762463116e-05, + "loss": 0.6536, + "step": 5112 + }, + { + "epoch": 0.43, + "learning_rate": 1.2637869999759742e-05, + "loss": 0.9419, + "step": 5113 + }, + { + "epoch": 0.43, + "learning_rate": 1.2635222176131735e-05, + "loss": 0.9163, + "step": 5114 + }, + { + "epoch": 0.43, + "learning_rate": 1.2632574153946646e-05, + "loss": 0.9576, + "step": 5115 + }, + { + "epoch": 0.43, + "learning_rate": 1.262992593340399e-05, + "loss": 0.9093, + "step": 5116 + }, + { + "epoch": 0.43, + "learning_rate": 1.2627277514703313e-05, + "loss": 0.9396, + "step": 5117 + }, + { + "epoch": 0.43, + "learning_rate": 1.262462889804416e-05, + "loss": 0.8921, + "step": 5118 + }, + { + "epoch": 0.43, + "learning_rate": 1.26219800836261e-05, + "loss": 0.9372, + "step": 5119 + }, + { + "epoch": 0.43, + "learning_rate": 1.2619331071648716e-05, + "loss": 0.8828, + "step": 5120 + }, + { + "epoch": 0.43, + "learning_rate": 1.26166818623116e-05, + "loss": 0.9355, + "step": 5121 + }, + { + "epoch": 0.43, + "learning_rate": 1.2614032455814362e-05, + "loss": 0.9363, + "step": 5122 + }, + { + "epoch": 0.43, + "learning_rate": 1.2611382852356632e-05, + "loss": 0.8518, + "step": 5123 + }, + { + "epoch": 0.43, + "learning_rate": 1.260873305213805e-05, + "loss": 0.8943, + "step": 5124 + }, + { + "epoch": 0.43, + "learning_rate": 1.260608305535827e-05, + "loss": 0.9618, + "step": 5125 + }, + { + "epoch": 0.43, + "learning_rate": 1.260343286221696e-05, + "loss": 0.8882, + "step": 5126 + }, + { + "epoch": 0.43, + "learning_rate": 1.2600782472913811e-05, + "loss": 0.9209, + "step": 5127 + }, + { + "epoch": 0.43, + "learning_rate": 1.2598131887648516e-05, + "loss": 0.9473, + "step": 5128 + }, + { + "epoch": 0.43, + "learning_rate": 1.2595481106620799e-05, + "loss": 0.8932, + "step": 5129 + }, + { + "epoch": 0.43, + "learning_rate": 1.259283013003038e-05, + "loss": 0.9156, + "step": 5130 + }, + { + "epoch": 0.43, + "learning_rate": 1.259017895807701e-05, + "loss": 0.8837, + "step": 5131 + }, + { + "epoch": 0.43, + "learning_rate": 1.2587527590960444e-05, + "loss": 0.898, + "step": 5132 + }, + { + "epoch": 0.44, + "learning_rate": 1.2584876028880455e-05, + "loss": 0.8971, + "step": 5133 + }, + { + "epoch": 0.44, + "learning_rate": 1.2582224272036834e-05, + "loss": 0.8703, + "step": 5134 + }, + { + "epoch": 0.44, + "learning_rate": 1.2579572320629381e-05, + "loss": 0.9667, + "step": 5135 + }, + { + "epoch": 0.44, + "learning_rate": 1.2576920174857917e-05, + "loss": 0.9313, + "step": 5136 + }, + { + "epoch": 0.44, + "learning_rate": 1.257426783492227e-05, + "loss": 0.9662, + "step": 5137 + }, + { + "epoch": 0.44, + "learning_rate": 1.2571615301022288e-05, + "loss": 0.9043, + "step": 5138 + }, + { + "epoch": 0.44, + "learning_rate": 1.2568962573357837e-05, + "loss": 0.9452, + "step": 5139 + }, + { + "epoch": 0.44, + "learning_rate": 1.2566309652128789e-05, + "loss": 0.9381, + "step": 5140 + }, + { + "epoch": 0.44, + "learning_rate": 1.2563656537535036e-05, + "loss": 0.9178, + "step": 5141 + }, + { + "epoch": 0.44, + "learning_rate": 1.2561003229776485e-05, + "loss": 0.5615, + "step": 5142 + }, + { + "epoch": 0.44, + "learning_rate": 1.2558349729053052e-05, + "loss": 0.9372, + "step": 5143 + }, + { + "epoch": 0.44, + "learning_rate": 1.255569603556467e-05, + "loss": 0.8776, + "step": 5144 + }, + { + "epoch": 0.44, + "learning_rate": 1.2553042149511295e-05, + "loss": 0.9051, + "step": 5145 + }, + { + "epoch": 0.44, + "learning_rate": 1.2550388071092883e-05, + "loss": 0.8658, + "step": 5146 + }, + { + "epoch": 0.44, + "learning_rate": 1.2547733800509414e-05, + "loss": 0.8881, + "step": 5147 + }, + { + "epoch": 0.44, + "learning_rate": 1.2545079337960883e-05, + "loss": 0.9362, + "step": 5148 + }, + { + "epoch": 0.44, + "learning_rate": 1.2542424683647294e-05, + "loss": 0.9318, + "step": 5149 + }, + { + "epoch": 0.44, + "learning_rate": 1.2539769837768672e-05, + "loss": 0.9313, + "step": 5150 + }, + { + "epoch": 0.44, + "learning_rate": 1.2537114800525047e-05, + "loss": 0.5175, + "step": 5151 + }, + { + "epoch": 0.44, + "learning_rate": 1.2534459572116476e-05, + "loss": 0.8967, + "step": 5152 + }, + { + "epoch": 0.44, + "learning_rate": 1.2531804152743017e-05, + "loss": 0.9076, + "step": 5153 + }, + { + "epoch": 0.44, + "learning_rate": 1.252914854260475e-05, + "loss": 0.902, + "step": 5154 + }, + { + "epoch": 0.44, + "learning_rate": 1.252649274190177e-05, + "loss": 0.9047, + "step": 5155 + }, + { + "epoch": 0.44, + "learning_rate": 1.2523836750834186e-05, + "loss": 0.9076, + "step": 5156 + }, + { + "epoch": 0.44, + "learning_rate": 1.2521180569602117e-05, + "loss": 0.9323, + "step": 5157 + }, + { + "epoch": 0.44, + "learning_rate": 1.2518524198405699e-05, + "loss": 0.9371, + "step": 5158 + }, + { + "epoch": 0.44, + "learning_rate": 1.2515867637445088e-05, + "loss": 0.9416, + "step": 5159 + }, + { + "epoch": 0.44, + "learning_rate": 1.251321088692044e-05, + "loss": 0.9154, + "step": 5160 + }, + { + "epoch": 0.44, + "learning_rate": 1.2510553947031942e-05, + "loss": 0.944, + "step": 5161 + }, + { + "epoch": 0.44, + "learning_rate": 1.2507896817979785e-05, + "loss": 0.883, + "step": 5162 + }, + { + "epoch": 0.44, + "learning_rate": 1.2505239499964179e-05, + "loss": 0.9256, + "step": 5163 + }, + { + "epoch": 0.44, + "learning_rate": 1.250258199318534e-05, + "loss": 0.9736, + "step": 5164 + }, + { + "epoch": 0.44, + "learning_rate": 1.249992429784351e-05, + "loss": 0.933, + "step": 5165 + }, + { + "epoch": 0.44, + "learning_rate": 1.2497266414138935e-05, + "loss": 0.9281, + "step": 5166 + }, + { + "epoch": 0.44, + "learning_rate": 1.2494608342271881e-05, + "loss": 0.9329, + "step": 5167 + }, + { + "epoch": 0.44, + "learning_rate": 1.249195008244263e-05, + "loss": 0.9098, + "step": 5168 + }, + { + "epoch": 0.44, + "learning_rate": 1.248929163485147e-05, + "loss": 0.9059, + "step": 5169 + }, + { + "epoch": 0.44, + "learning_rate": 1.2486632999698709e-05, + "loss": 0.8676, + "step": 5170 + }, + { + "epoch": 0.44, + "learning_rate": 1.2483974177184673e-05, + "loss": 0.9564, + "step": 5171 + }, + { + "epoch": 0.44, + "learning_rate": 1.2481315167509691e-05, + "loss": 0.9369, + "step": 5172 + }, + { + "epoch": 0.44, + "learning_rate": 1.247865597087412e-05, + "loss": 0.5491, + "step": 5173 + }, + { + "epoch": 0.44, + "learning_rate": 1.2475996587478311e-05, + "loss": 0.8979, + "step": 5174 + }, + { + "epoch": 0.44, + "learning_rate": 1.2473337017522653e-05, + "loss": 0.9487, + "step": 5175 + }, + { + "epoch": 0.44, + "learning_rate": 1.2470677261207534e-05, + "loss": 0.9252, + "step": 5176 + }, + { + "epoch": 0.44, + "learning_rate": 1.2468017318733358e-05, + "loss": 0.5557, + "step": 5177 + }, + { + "epoch": 0.44, + "learning_rate": 1.246535719030055e-05, + "loss": 0.9548, + "step": 5178 + }, + { + "epoch": 0.44, + "learning_rate": 1.2462696876109534e-05, + "loss": 0.9481, + "step": 5179 + }, + { + "epoch": 0.44, + "learning_rate": 1.2460036376360768e-05, + "loss": 0.9266, + "step": 5180 + }, + { + "epoch": 0.44, + "learning_rate": 1.2457375691254707e-05, + "loss": 0.9096, + "step": 5181 + }, + { + "epoch": 0.44, + "learning_rate": 1.2454714820991828e-05, + "loss": 0.9309, + "step": 5182 + }, + { + "epoch": 0.44, + "learning_rate": 1.2452053765772623e-05, + "loss": 0.8684, + "step": 5183 + }, + { + "epoch": 0.44, + "learning_rate": 1.2449392525797597e-05, + "loss": 0.8904, + "step": 5184 + }, + { + "epoch": 0.44, + "learning_rate": 1.2446731101267262e-05, + "loss": 0.8997, + "step": 5185 + }, + { + "epoch": 0.44, + "learning_rate": 1.2444069492382151e-05, + "loss": 0.8857, + "step": 5186 + }, + { + "epoch": 0.44, + "learning_rate": 1.244140769934281e-05, + "loss": 0.9213, + "step": 5187 + }, + { + "epoch": 0.44, + "learning_rate": 1.24387457223498e-05, + "loss": 0.9472, + "step": 5188 + }, + { + "epoch": 0.44, + "learning_rate": 1.243608356160369e-05, + "loss": 0.9256, + "step": 5189 + }, + { + "epoch": 0.44, + "learning_rate": 1.2433421217305072e-05, + "loss": 0.9144, + "step": 5190 + }, + { + "epoch": 0.44, + "learning_rate": 1.2430758689654542e-05, + "loss": 0.9024, + "step": 5191 + }, + { + "epoch": 0.44, + "learning_rate": 1.2428095978852717e-05, + "loss": 0.8689, + "step": 5192 + }, + { + "epoch": 0.44, + "learning_rate": 1.2425433085100224e-05, + "loss": 0.8959, + "step": 5193 + }, + { + "epoch": 0.44, + "learning_rate": 1.2422770008597707e-05, + "loss": 0.8955, + "step": 5194 + }, + { + "epoch": 0.44, + "learning_rate": 1.242010674954582e-05, + "loss": 0.938, + "step": 5195 + }, + { + "epoch": 0.44, + "learning_rate": 1.2417443308145231e-05, + "loss": 0.9064, + "step": 5196 + }, + { + "epoch": 0.44, + "learning_rate": 1.2414779684596625e-05, + "loss": 0.9047, + "step": 5197 + }, + { + "epoch": 0.44, + "learning_rate": 1.2412115879100702e-05, + "loss": 0.9058, + "step": 5198 + }, + { + "epoch": 0.44, + "learning_rate": 1.240945189185817e-05, + "loss": 0.9235, + "step": 5199 + }, + { + "epoch": 0.44, + "learning_rate": 1.240678772306975e-05, + "loss": 0.9083, + "step": 5200 + }, + { + "epoch": 0.44, + "learning_rate": 1.2404123372936186e-05, + "loss": 0.8711, + "step": 5201 + }, + { + "epoch": 0.44, + "learning_rate": 1.2401458841658227e-05, + "loss": 0.9586, + "step": 5202 + }, + { + "epoch": 0.44, + "learning_rate": 1.239879412943664e-05, + "loss": 0.9314, + "step": 5203 + }, + { + "epoch": 0.44, + "learning_rate": 1.2396129236472201e-05, + "loss": 0.944, + "step": 5204 + }, + { + "epoch": 0.44, + "learning_rate": 1.2393464162965708e-05, + "loss": 0.9764, + "step": 5205 + }, + { + "epoch": 0.44, + "learning_rate": 1.2390798909117963e-05, + "loss": 0.929, + "step": 5206 + }, + { + "epoch": 0.44, + "learning_rate": 1.2388133475129784e-05, + "loss": 0.9006, + "step": 5207 + }, + { + "epoch": 0.44, + "learning_rate": 1.238546786120201e-05, + "loss": 0.9284, + "step": 5208 + }, + { + "epoch": 0.44, + "learning_rate": 1.2382802067535487e-05, + "loss": 0.9309, + "step": 5209 + }, + { + "epoch": 0.44, + "learning_rate": 1.238013609433107e-05, + "loss": 0.8616, + "step": 5210 + }, + { + "epoch": 0.44, + "learning_rate": 1.2377469941789639e-05, + "loss": 0.9134, + "step": 5211 + }, + { + "epoch": 0.44, + "learning_rate": 1.2374803610112081e-05, + "loss": 0.9193, + "step": 5212 + }, + { + "epoch": 0.44, + "learning_rate": 1.2372137099499293e-05, + "loss": 0.8663, + "step": 5213 + }, + { + "epoch": 0.44, + "learning_rate": 1.2369470410152195e-05, + "loss": 0.9395, + "step": 5214 + }, + { + "epoch": 0.44, + "learning_rate": 1.2366803542271712e-05, + "loss": 0.9409, + "step": 5215 + }, + { + "epoch": 0.44, + "learning_rate": 1.2364136496058787e-05, + "loss": 0.8886, + "step": 5216 + }, + { + "epoch": 0.44, + "learning_rate": 1.2361469271714372e-05, + "loss": 0.9318, + "step": 5217 + }, + { + "epoch": 0.44, + "learning_rate": 1.2358801869439439e-05, + "loss": 0.9468, + "step": 5218 + }, + { + "epoch": 0.44, + "learning_rate": 1.2356134289434964e-05, + "loss": 0.8713, + "step": 5219 + }, + { + "epoch": 0.44, + "learning_rate": 1.235346653190195e-05, + "loss": 0.8359, + "step": 5220 + }, + { + "epoch": 0.44, + "learning_rate": 1.23507985970414e-05, + "loss": 0.8771, + "step": 5221 + }, + { + "epoch": 0.44, + "learning_rate": 1.2348130485054337e-05, + "loss": 0.9129, + "step": 5222 + }, + { + "epoch": 0.44, + "learning_rate": 1.2345462196141797e-05, + "loss": 0.9072, + "step": 5223 + }, + { + "epoch": 0.44, + "learning_rate": 1.234279373050483e-05, + "loss": 0.8825, + "step": 5224 + }, + { + "epoch": 0.44, + "learning_rate": 1.2340125088344497e-05, + "loss": 0.9011, + "step": 5225 + }, + { + "epoch": 0.44, + "learning_rate": 1.233745626986187e-05, + "loss": 0.9356, + "step": 5226 + }, + { + "epoch": 0.44, + "learning_rate": 1.233478727525804e-05, + "loss": 0.9638, + "step": 5227 + }, + { + "epoch": 0.44, + "learning_rate": 1.233211810473411e-05, + "loss": 0.9266, + "step": 5228 + }, + { + "epoch": 0.44, + "learning_rate": 1.2329448758491195e-05, + "loss": 0.9178, + "step": 5229 + }, + { + "epoch": 0.44, + "learning_rate": 1.232677923673042e-05, + "loss": 0.9133, + "step": 5230 + }, + { + "epoch": 0.44, + "learning_rate": 1.2324109539652928e-05, + "loss": 0.8982, + "step": 5231 + }, + { + "epoch": 0.44, + "learning_rate": 1.2321439667459876e-05, + "loss": 0.899, + "step": 5232 + }, + { + "epoch": 0.44, + "learning_rate": 1.231876962035243e-05, + "loss": 0.9339, + "step": 5233 + }, + { + "epoch": 0.44, + "learning_rate": 1.231609939853177e-05, + "loss": 0.9236, + "step": 5234 + }, + { + "epoch": 0.44, + "learning_rate": 1.2313429002199088e-05, + "loss": 0.9123, + "step": 5235 + }, + { + "epoch": 0.44, + "learning_rate": 1.23107584315556e-05, + "loss": 0.9234, + "step": 5236 + }, + { + "epoch": 0.44, + "learning_rate": 1.2308087686802521e-05, + "loss": 0.9308, + "step": 5237 + }, + { + "epoch": 0.44, + "learning_rate": 1.2305416768141082e-05, + "loss": 0.9172, + "step": 5238 + }, + { + "epoch": 0.44, + "learning_rate": 1.2302745675772534e-05, + "loss": 0.8967, + "step": 5239 + }, + { + "epoch": 0.44, + "learning_rate": 1.2300074409898134e-05, + "loss": 0.9659, + "step": 5240 + }, + { + "epoch": 0.44, + "learning_rate": 1.2297402970719157e-05, + "loss": 0.5442, + "step": 5241 + }, + { + "epoch": 0.44, + "learning_rate": 1.2294731358436887e-05, + "loss": 0.8832, + "step": 5242 + }, + { + "epoch": 0.44, + "learning_rate": 1.2292059573252625e-05, + "loss": 0.898, + "step": 5243 + }, + { + "epoch": 0.44, + "learning_rate": 1.2289387615367684e-05, + "loss": 0.9085, + "step": 5244 + }, + { + "epoch": 0.44, + "learning_rate": 1.2286715484983383e-05, + "loss": 0.921, + "step": 5245 + }, + { + "epoch": 0.44, + "learning_rate": 1.2284043182301066e-05, + "loss": 0.8964, + "step": 5246 + }, + { + "epoch": 0.44, + "learning_rate": 1.2281370707522083e-05, + "loss": 0.9073, + "step": 5247 + }, + { + "epoch": 0.44, + "learning_rate": 1.2278698060847795e-05, + "loss": 0.8915, + "step": 5248 + }, + { + "epoch": 0.44, + "learning_rate": 1.2276025242479584e-05, + "loss": 0.9139, + "step": 5249 + }, + { + "epoch": 0.44, + "learning_rate": 1.2273352252618834e-05, + "loss": 0.5628, + "step": 5250 + }, + { + "epoch": 0.45, + "learning_rate": 1.2270679091466953e-05, + "loss": 0.9486, + "step": 5251 + }, + { + "epoch": 0.45, + "learning_rate": 1.2268005759225352e-05, + "loss": 0.9527, + "step": 5252 + }, + { + "epoch": 0.45, + "learning_rate": 1.2265332256095463e-05, + "loss": 0.894, + "step": 5253 + }, + { + "epoch": 0.45, + "learning_rate": 1.2262658582278726e-05, + "loss": 0.9283, + "step": 5254 + }, + { + "epoch": 0.45, + "learning_rate": 1.2259984737976597e-05, + "loss": 0.8908, + "step": 5255 + }, + { + "epoch": 0.45, + "learning_rate": 1.2257310723390541e-05, + "loss": 0.8533, + "step": 5256 + }, + { + "epoch": 0.45, + "learning_rate": 1.225463653872204e-05, + "loss": 0.9109, + "step": 5257 + }, + { + "epoch": 0.45, + "learning_rate": 1.2251962184172586e-05, + "loss": 0.9074, + "step": 5258 + }, + { + "epoch": 0.45, + "learning_rate": 1.2249287659943682e-05, + "loss": 0.8624, + "step": 5259 + }, + { + "epoch": 0.45, + "learning_rate": 1.2246612966236851e-05, + "loss": 0.9395, + "step": 5260 + }, + { + "epoch": 0.45, + "learning_rate": 1.2243938103253618e-05, + "loss": 0.8991, + "step": 5261 + }, + { + "epoch": 0.45, + "learning_rate": 1.2241263071195535e-05, + "loss": 0.9054, + "step": 5262 + }, + { + "epoch": 0.45, + "learning_rate": 1.2238587870264152e-05, + "loss": 0.9212, + "step": 5263 + }, + { + "epoch": 0.45, + "learning_rate": 1.223591250066104e-05, + "loss": 0.8889, + "step": 5264 + }, + { + "epoch": 0.45, + "learning_rate": 1.2233236962587782e-05, + "loss": 0.8948, + "step": 5265 + }, + { + "epoch": 0.45, + "learning_rate": 1.2230561256245974e-05, + "loss": 0.9093, + "step": 5266 + }, + { + "epoch": 0.45, + "learning_rate": 1.222788538183722e-05, + "loss": 0.898, + "step": 5267 + }, + { + "epoch": 0.45, + "learning_rate": 1.2225209339563144e-05, + "loss": 0.9137, + "step": 5268 + }, + { + "epoch": 0.45, + "learning_rate": 1.2222533129625378e-05, + "loss": 0.9267, + "step": 5269 + }, + { + "epoch": 0.45, + "learning_rate": 1.2219856752225565e-05, + "loss": 0.8922, + "step": 5270 + }, + { + "epoch": 0.45, + "learning_rate": 1.2217180207565365e-05, + "loss": 0.9644, + "step": 5271 + }, + { + "epoch": 0.45, + "learning_rate": 1.2214503495846448e-05, + "loss": 0.8927, + "step": 5272 + }, + { + "epoch": 0.45, + "learning_rate": 1.2211826617270495e-05, + "loss": 0.8936, + "step": 5273 + }, + { + "epoch": 0.45, + "learning_rate": 1.2209149572039207e-05, + "loss": 0.8902, + "step": 5274 + }, + { + "epoch": 0.45, + "learning_rate": 1.2206472360354286e-05, + "loss": 0.8603, + "step": 5275 + }, + { + "epoch": 0.45, + "learning_rate": 1.220379498241746e-05, + "loss": 0.9466, + "step": 5276 + }, + { + "epoch": 0.45, + "learning_rate": 1.2201117438430456e-05, + "loss": 0.939, + "step": 5277 + }, + { + "epoch": 0.45, + "learning_rate": 1.2198439728595025e-05, + "loss": 0.964, + "step": 5278 + }, + { + "epoch": 0.45, + "learning_rate": 1.2195761853112922e-05, + "loss": 0.9352, + "step": 5279 + }, + { + "epoch": 0.45, + "learning_rate": 1.2193083812185919e-05, + "loss": 0.9312, + "step": 5280 + }, + { + "epoch": 0.45, + "learning_rate": 1.2190405606015798e-05, + "loss": 0.9428, + "step": 5281 + }, + { + "epoch": 0.45, + "learning_rate": 1.2187727234804356e-05, + "loss": 0.9347, + "step": 5282 + }, + { + "epoch": 0.45, + "learning_rate": 1.2185048698753403e-05, + "loss": 0.8897, + "step": 5283 + }, + { + "epoch": 0.45, + "learning_rate": 1.2182369998064755e-05, + "loss": 0.9225, + "step": 5284 + }, + { + "epoch": 0.45, + "learning_rate": 1.2179691132940252e-05, + "loss": 0.9308, + "step": 5285 + }, + { + "epoch": 0.45, + "learning_rate": 1.2177012103581733e-05, + "loss": 0.9034, + "step": 5286 + }, + { + "epoch": 0.45, + "learning_rate": 1.217433291019106e-05, + "loss": 0.9291, + "step": 5287 + }, + { + "epoch": 0.45, + "learning_rate": 1.21716535529701e-05, + "loss": 0.8709, + "step": 5288 + }, + { + "epoch": 0.45, + "learning_rate": 1.2168974032120737e-05, + "loss": 0.9015, + "step": 5289 + }, + { + "epoch": 0.45, + "learning_rate": 1.2166294347844867e-05, + "loss": 0.9177, + "step": 5290 + }, + { + "epoch": 0.45, + "learning_rate": 1.2163614500344396e-05, + "loss": 0.8925, + "step": 5291 + }, + { + "epoch": 0.45, + "learning_rate": 1.2160934489821244e-05, + "loss": 0.8789, + "step": 5292 + }, + { + "epoch": 0.45, + "learning_rate": 1.215825431647734e-05, + "loss": 0.4504, + "step": 5293 + }, + { + "epoch": 0.45, + "learning_rate": 1.2155573980514632e-05, + "loss": 0.8682, + "step": 5294 + }, + { + "epoch": 0.45, + "learning_rate": 1.2152893482135075e-05, + "loss": 0.942, + "step": 5295 + }, + { + "epoch": 0.45, + "learning_rate": 1.2150212821540637e-05, + "loss": 0.9217, + "step": 5296 + }, + { + "epoch": 0.45, + "learning_rate": 1.21475319989333e-05, + "loss": 0.9185, + "step": 5297 + }, + { + "epoch": 0.45, + "learning_rate": 1.2144851014515055e-05, + "loss": 0.9455, + "step": 5298 + }, + { + "epoch": 0.45, + "learning_rate": 1.214216986848791e-05, + "loss": 0.8766, + "step": 5299 + }, + { + "epoch": 0.45, + "learning_rate": 1.2139488561053879e-05, + "loss": 0.9414, + "step": 5300 + }, + { + "epoch": 0.45, + "learning_rate": 1.2136807092414992e-05, + "loss": 0.9357, + "step": 5301 + }, + { + "epoch": 0.45, + "learning_rate": 1.2134125462773293e-05, + "loss": 0.9032, + "step": 5302 + }, + { + "epoch": 0.45, + "learning_rate": 1.2131443672330835e-05, + "loss": 0.8467, + "step": 5303 + }, + { + "epoch": 0.45, + "learning_rate": 1.212876172128968e-05, + "loss": 0.8694, + "step": 5304 + }, + { + "epoch": 0.45, + "learning_rate": 1.2126079609851911e-05, + "loss": 0.8382, + "step": 5305 + }, + { + "epoch": 0.45, + "learning_rate": 1.2123397338219615e-05, + "loss": 0.9309, + "step": 5306 + }, + { + "epoch": 0.45, + "learning_rate": 1.2120714906594897e-05, + "loss": 0.973, + "step": 5307 + }, + { + "epoch": 0.45, + "learning_rate": 1.2118032315179871e-05, + "loss": 0.9543, + "step": 5308 + }, + { + "epoch": 0.45, + "learning_rate": 1.211534956417666e-05, + "loss": 0.8918, + "step": 5309 + }, + { + "epoch": 0.45, + "learning_rate": 1.2112666653787404e-05, + "loss": 0.8978, + "step": 5310 + }, + { + "epoch": 0.45, + "learning_rate": 1.2109983584214253e-05, + "loss": 0.8882, + "step": 5311 + }, + { + "epoch": 0.45, + "learning_rate": 1.2107300355659368e-05, + "loss": 0.9334, + "step": 5312 + }, + { + "epoch": 0.45, + "learning_rate": 1.2104616968324928e-05, + "loss": 0.8876, + "step": 5313 + }, + { + "epoch": 0.45, + "learning_rate": 1.2101933422413115e-05, + "loss": 0.945, + "step": 5314 + }, + { + "epoch": 0.45, + "learning_rate": 1.2099249718126127e-05, + "loss": 0.5485, + "step": 5315 + }, + { + "epoch": 0.45, + "learning_rate": 1.2096565855666178e-05, + "loss": 0.8967, + "step": 5316 + }, + { + "epoch": 0.45, + "learning_rate": 1.2093881835235485e-05, + "loss": 0.9155, + "step": 5317 + }, + { + "epoch": 0.45, + "learning_rate": 1.2091197657036285e-05, + "loss": 0.8681, + "step": 5318 + }, + { + "epoch": 0.45, + "learning_rate": 1.2088513321270823e-05, + "loss": 0.8606, + "step": 5319 + }, + { + "epoch": 0.45, + "learning_rate": 1.208582882814136e-05, + "loss": 0.9033, + "step": 5320 + }, + { + "epoch": 0.45, + "learning_rate": 1.2083144177850156e-05, + "loss": 0.907, + "step": 5321 + }, + { + "epoch": 0.45, + "learning_rate": 1.2080459370599502e-05, + "loss": 0.9108, + "step": 5322 + }, + { + "epoch": 0.45, + "learning_rate": 1.2077774406591687e-05, + "loss": 0.9057, + "step": 5323 + }, + { + "epoch": 0.45, + "learning_rate": 1.2075089286029015e-05, + "loss": 0.9422, + "step": 5324 + }, + { + "epoch": 0.45, + "learning_rate": 1.2072404009113808e-05, + "loss": 0.9043, + "step": 5325 + }, + { + "epoch": 0.45, + "learning_rate": 1.2069718576048388e-05, + "loss": 0.8923, + "step": 5326 + }, + { + "epoch": 0.45, + "learning_rate": 1.20670329870351e-05, + "loss": 0.8898, + "step": 5327 + }, + { + "epoch": 0.45, + "learning_rate": 1.2064347242276293e-05, + "loss": 0.9163, + "step": 5328 + }, + { + "epoch": 0.45, + "learning_rate": 1.2061661341974333e-05, + "loss": 0.9018, + "step": 5329 + }, + { + "epoch": 0.45, + "learning_rate": 1.2058975286331596e-05, + "loss": 0.8942, + "step": 5330 + }, + { + "epoch": 0.45, + "learning_rate": 1.2056289075550467e-05, + "loss": 0.8404, + "step": 5331 + }, + { + "epoch": 0.45, + "learning_rate": 1.2053602709833347e-05, + "loss": 0.9263, + "step": 5332 + }, + { + "epoch": 0.45, + "learning_rate": 1.2050916189382646e-05, + "loss": 0.9346, + "step": 5333 + }, + { + "epoch": 0.45, + "learning_rate": 1.2048229514400785e-05, + "loss": 0.9454, + "step": 5334 + }, + { + "epoch": 0.45, + "learning_rate": 1.2045542685090199e-05, + "loss": 0.9086, + "step": 5335 + }, + { + "epoch": 0.45, + "learning_rate": 1.2042855701653333e-05, + "loss": 0.9599, + "step": 5336 + }, + { + "epoch": 0.45, + "learning_rate": 1.2040168564292644e-05, + "loss": 0.9269, + "step": 5337 + }, + { + "epoch": 0.45, + "learning_rate": 1.2037481273210603e-05, + "loss": 0.863, + "step": 5338 + }, + { + "epoch": 0.45, + "learning_rate": 1.203479382860969e-05, + "loss": 0.9279, + "step": 5339 + }, + { + "epoch": 0.45, + "learning_rate": 1.2032106230692394e-05, + "loss": 0.881, + "step": 5340 + }, + { + "epoch": 0.45, + "learning_rate": 1.2029418479661222e-05, + "loss": 0.9244, + "step": 5341 + }, + { + "epoch": 0.45, + "learning_rate": 1.2026730575718684e-05, + "loss": 0.873, + "step": 5342 + }, + { + "epoch": 0.45, + "learning_rate": 1.202404251906731e-05, + "loss": 0.8938, + "step": 5343 + }, + { + "epoch": 0.45, + "learning_rate": 1.2021354309909637e-05, + "loss": 0.5037, + "step": 5344 + }, + { + "epoch": 0.45, + "learning_rate": 1.2018665948448215e-05, + "loss": 0.9031, + "step": 5345 + }, + { + "epoch": 0.45, + "learning_rate": 1.2015977434885608e-05, + "loss": 0.9059, + "step": 5346 + }, + { + "epoch": 0.45, + "learning_rate": 1.2013288769424383e-05, + "loss": 0.9688, + "step": 5347 + }, + { + "epoch": 0.45, + "learning_rate": 1.2010599952267128e-05, + "loss": 0.9463, + "step": 5348 + }, + { + "epoch": 0.45, + "learning_rate": 1.2007910983616435e-05, + "loss": 0.9678, + "step": 5349 + }, + { + "epoch": 0.45, + "learning_rate": 1.2005221863674914e-05, + "loss": 0.9109, + "step": 5350 + }, + { + "epoch": 0.45, + "learning_rate": 1.2002532592645182e-05, + "loss": 0.5038, + "step": 5351 + }, + { + "epoch": 0.45, + "learning_rate": 1.1999843170729866e-05, + "loss": 0.9741, + "step": 5352 + }, + { + "epoch": 0.45, + "learning_rate": 1.199715359813161e-05, + "loss": 0.9224, + "step": 5353 + }, + { + "epoch": 0.45, + "learning_rate": 1.1994463875053065e-05, + "loss": 0.9413, + "step": 5354 + }, + { + "epoch": 0.45, + "learning_rate": 1.1991774001696896e-05, + "loss": 0.8826, + "step": 5355 + }, + { + "epoch": 0.45, + "learning_rate": 1.1989083978265776e-05, + "loss": 0.918, + "step": 5356 + }, + { + "epoch": 0.45, + "learning_rate": 1.1986393804962393e-05, + "loss": 0.8875, + "step": 5357 + }, + { + "epoch": 0.45, + "learning_rate": 1.1983703481989443e-05, + "loss": 0.8489, + "step": 5358 + }, + { + "epoch": 0.45, + "learning_rate": 1.1981013009549636e-05, + "loss": 0.9061, + "step": 5359 + }, + { + "epoch": 0.45, + "learning_rate": 1.1978322387845689e-05, + "loss": 0.9198, + "step": 5360 + }, + { + "epoch": 0.45, + "learning_rate": 1.1975631617080339e-05, + "loss": 0.8981, + "step": 5361 + }, + { + "epoch": 0.45, + "learning_rate": 1.1972940697456324e-05, + "loss": 0.9404, + "step": 5362 + }, + { + "epoch": 0.45, + "learning_rate": 1.1970249629176399e-05, + "loss": 0.6395, + "step": 5363 + }, + { + "epoch": 0.45, + "learning_rate": 1.1967558412443328e-05, + "loss": 0.9271, + "step": 5364 + }, + { + "epoch": 0.45, + "learning_rate": 1.1964867047459887e-05, + "loss": 0.9181, + "step": 5365 + }, + { + "epoch": 0.45, + "learning_rate": 1.1962175534428865e-05, + "loss": 0.9046, + "step": 5366 + }, + { + "epoch": 0.45, + "learning_rate": 1.1959483873553059e-05, + "loss": 0.8504, + "step": 5367 + }, + { + "epoch": 0.45, + "learning_rate": 1.1956792065035281e-05, + "loss": 0.9376, + "step": 5368 + }, + { + "epoch": 0.46, + "learning_rate": 1.195410010907835e-05, + "loss": 0.9137, + "step": 5369 + }, + { + "epoch": 0.46, + "learning_rate": 1.1951408005885098e-05, + "loss": 0.8844, + "step": 5370 + }, + { + "epoch": 0.46, + "learning_rate": 1.1948715755658364e-05, + "loss": 0.9269, + "step": 5371 + }, + { + "epoch": 0.46, + "learning_rate": 1.194602335860101e-05, + "loss": 0.9312, + "step": 5372 + }, + { + "epoch": 0.46, + "learning_rate": 1.1943330814915897e-05, + "loss": 0.8877, + "step": 5373 + }, + { + "epoch": 0.46, + "learning_rate": 1.19406381248059e-05, + "loss": 0.9604, + "step": 5374 + }, + { + "epoch": 0.46, + "learning_rate": 1.1937945288473905e-05, + "loss": 0.5195, + "step": 5375 + }, + { + "epoch": 0.46, + "learning_rate": 1.1935252306122812e-05, + "loss": 0.9541, + "step": 5376 + }, + { + "epoch": 0.46, + "learning_rate": 1.1932559177955533e-05, + "loss": 0.9192, + "step": 5377 + }, + { + "epoch": 0.46, + "learning_rate": 1.1929865904174984e-05, + "loss": 0.8917, + "step": 5378 + }, + { + "epoch": 0.46, + "learning_rate": 1.19271724849841e-05, + "loss": 0.9046, + "step": 5379 + }, + { + "epoch": 0.46, + "learning_rate": 1.1924478920585818e-05, + "loss": 0.8936, + "step": 5380 + }, + { + "epoch": 0.46, + "learning_rate": 1.1921785211183095e-05, + "loss": 0.8755, + "step": 5381 + }, + { + "epoch": 0.46, + "learning_rate": 1.1919091356978894e-05, + "loss": 0.9193, + "step": 5382 + }, + { + "epoch": 0.46, + "learning_rate": 1.1916397358176191e-05, + "loss": 0.9041, + "step": 5383 + }, + { + "epoch": 0.46, + "learning_rate": 1.1913703214977969e-05, + "loss": 0.9376, + "step": 5384 + }, + { + "epoch": 0.46, + "learning_rate": 1.1911008927587224e-05, + "loss": 0.9045, + "step": 5385 + }, + { + "epoch": 0.46, + "learning_rate": 1.1908314496206967e-05, + "loss": 0.8992, + "step": 5386 + }, + { + "epoch": 0.46, + "learning_rate": 1.1905619921040215e-05, + "loss": 0.8507, + "step": 5387 + }, + { + "epoch": 0.46, + "learning_rate": 1.1902925202289997e-05, + "loss": 0.9168, + "step": 5388 + }, + { + "epoch": 0.46, + "learning_rate": 1.1900230340159352e-05, + "loss": 0.9319, + "step": 5389 + }, + { + "epoch": 0.46, + "learning_rate": 1.1897535334851331e-05, + "loss": 0.8796, + "step": 5390 + }, + { + "epoch": 0.46, + "learning_rate": 1.1894840186569e-05, + "loss": 0.916, + "step": 5391 + }, + { + "epoch": 0.46, + "learning_rate": 1.1892144895515422e-05, + "loss": 0.9541, + "step": 5392 + }, + { + "epoch": 0.46, + "learning_rate": 1.1889449461893692e-05, + "loss": 0.9098, + "step": 5393 + }, + { + "epoch": 0.46, + "learning_rate": 1.1886753885906895e-05, + "loss": 0.9006, + "step": 5394 + }, + { + "epoch": 0.46, + "learning_rate": 1.1884058167758137e-05, + "loss": 0.8781, + "step": 5395 + }, + { + "epoch": 0.46, + "learning_rate": 1.1881362307650534e-05, + "loss": 0.5723, + "step": 5396 + }, + { + "epoch": 0.46, + "learning_rate": 1.1878666305787214e-05, + "loss": 0.9107, + "step": 5397 + }, + { + "epoch": 0.46, + "learning_rate": 1.1875970162371312e-05, + "loss": 0.8977, + "step": 5398 + }, + { + "epoch": 0.46, + "learning_rate": 1.1873273877605978e-05, + "loss": 0.8704, + "step": 5399 + }, + { + "epoch": 0.46, + "learning_rate": 1.1870577451694363e-05, + "loss": 0.8937, + "step": 5400 + }, + { + "epoch": 0.46, + "learning_rate": 1.1867880884839642e-05, + "loss": 0.9497, + "step": 5401 + }, + { + "epoch": 0.46, + "learning_rate": 1.1865184177244992e-05, + "loss": 0.8821, + "step": 5402 + }, + { + "epoch": 0.46, + "learning_rate": 1.1862487329113606e-05, + "loss": 0.8877, + "step": 5403 + }, + { + "epoch": 0.46, + "learning_rate": 1.185979034064868e-05, + "loss": 0.9047, + "step": 5404 + }, + { + "epoch": 0.46, + "learning_rate": 1.1857093212053427e-05, + "loss": 0.9079, + "step": 5405 + }, + { + "epoch": 0.46, + "learning_rate": 1.185439594353107e-05, + "loss": 0.8903, + "step": 5406 + }, + { + "epoch": 0.46, + "learning_rate": 1.1851698535284834e-05, + "loss": 0.5818, + "step": 5407 + }, + { + "epoch": 0.46, + "learning_rate": 1.184900098751797e-05, + "loss": 0.8897, + "step": 5408 + }, + { + "epoch": 0.46, + "learning_rate": 1.184630330043373e-05, + "loss": 0.9482, + "step": 5409 + }, + { + "epoch": 0.46, + "learning_rate": 1.1843605474235373e-05, + "loss": 0.9232, + "step": 5410 + }, + { + "epoch": 0.46, + "learning_rate": 1.1840907509126178e-05, + "loss": 0.9623, + "step": 5411 + }, + { + "epoch": 0.46, + "learning_rate": 1.1838209405309427e-05, + "loss": 0.9371, + "step": 5412 + }, + { + "epoch": 0.46, + "learning_rate": 1.1835511162988413e-05, + "loss": 0.9184, + "step": 5413 + }, + { + "epoch": 0.46, + "learning_rate": 1.1832812782366448e-05, + "loss": 0.8976, + "step": 5414 + }, + { + "epoch": 0.46, + "learning_rate": 1.1830114263646844e-05, + "loss": 0.9563, + "step": 5415 + }, + { + "epoch": 0.46, + "learning_rate": 1.1827415607032923e-05, + "loss": 0.9505, + "step": 5416 + }, + { + "epoch": 0.46, + "learning_rate": 1.1824716812728029e-05, + "loss": 0.892, + "step": 5417 + }, + { + "epoch": 0.46, + "learning_rate": 1.1822017880935507e-05, + "loss": 0.9305, + "step": 5418 + }, + { + "epoch": 0.46, + "learning_rate": 1.1819318811858711e-05, + "loss": 0.9055, + "step": 5419 + }, + { + "epoch": 0.46, + "learning_rate": 1.1816619605701012e-05, + "loss": 0.8887, + "step": 5420 + }, + { + "epoch": 0.46, + "learning_rate": 1.1813920262665788e-05, + "loss": 0.8985, + "step": 5421 + }, + { + "epoch": 0.46, + "learning_rate": 1.1811220782956427e-05, + "loss": 0.9263, + "step": 5422 + }, + { + "epoch": 0.46, + "learning_rate": 1.1808521166776328e-05, + "loss": 0.9543, + "step": 5423 + }, + { + "epoch": 0.46, + "learning_rate": 1.1805821414328897e-05, + "loss": 0.9344, + "step": 5424 + }, + { + "epoch": 0.46, + "learning_rate": 1.180312152581756e-05, + "loss": 0.9321, + "step": 5425 + }, + { + "epoch": 0.46, + "learning_rate": 1.1800421501445743e-05, + "loss": 0.9061, + "step": 5426 + }, + { + "epoch": 0.46, + "learning_rate": 1.1797721341416882e-05, + "loss": 0.9213, + "step": 5427 + }, + { + "epoch": 0.46, + "learning_rate": 1.179502104593443e-05, + "loss": 0.8951, + "step": 5428 + }, + { + "epoch": 0.46, + "learning_rate": 1.1792320615201846e-05, + "loss": 0.9233, + "step": 5429 + }, + { + "epoch": 0.46, + "learning_rate": 1.1789620049422603e-05, + "loss": 0.9415, + "step": 5430 + }, + { + "epoch": 0.46, + "learning_rate": 1.1786919348800181e-05, + "loss": 0.889, + "step": 5431 + }, + { + "epoch": 0.46, + "learning_rate": 1.178421851353807e-05, + "loss": 0.8766, + "step": 5432 + }, + { + "epoch": 0.46, + "learning_rate": 1.178151754383977e-05, + "loss": 0.8721, + "step": 5433 + }, + { + "epoch": 0.46, + "learning_rate": 1.1778816439908794e-05, + "loss": 0.8693, + "step": 5434 + }, + { + "epoch": 0.46, + "learning_rate": 1.1776115201948658e-05, + "loss": 0.9261, + "step": 5435 + }, + { + "epoch": 0.46, + "learning_rate": 1.1773413830162902e-05, + "loss": 0.585, + "step": 5436 + }, + { + "epoch": 0.46, + "learning_rate": 1.1770712324755063e-05, + "loss": 0.9271, + "step": 5437 + }, + { + "epoch": 0.46, + "learning_rate": 1.1770712324755063e-05, + "loss": 0.9127, + "step": 5438 + }, + { + "epoch": 0.46, + "learning_rate": 1.1768010685928686e-05, + "loss": 0.9346, + "step": 5439 + }, + { + "epoch": 0.46, + "learning_rate": 1.1765308913887341e-05, + "loss": 0.9336, + "step": 5440 + }, + { + "epoch": 0.46, + "learning_rate": 1.1762607008834597e-05, + "loss": 0.8971, + "step": 5441 + }, + { + "epoch": 0.46, + "learning_rate": 1.1759904970974034e-05, + "loss": 0.9313, + "step": 5442 + }, + { + "epoch": 0.46, + "learning_rate": 1.1757202800509245e-05, + "loss": 0.8944, + "step": 5443 + }, + { + "epoch": 0.46, + "learning_rate": 1.1754500497643831e-05, + "loss": 0.9406, + "step": 5444 + }, + { + "epoch": 0.46, + "learning_rate": 1.1751798062581402e-05, + "loss": 0.8822, + "step": 5445 + }, + { + "epoch": 0.46, + "learning_rate": 1.1749095495525584e-05, + "loss": 0.9334, + "step": 5446 + }, + { + "epoch": 0.46, + "learning_rate": 1.1746392796680004e-05, + "loss": 0.9439, + "step": 5447 + }, + { + "epoch": 0.46, + "learning_rate": 1.1743689966248304e-05, + "loss": 0.9208, + "step": 5448 + }, + { + "epoch": 0.46, + "learning_rate": 1.1740987004434137e-05, + "loss": 0.89, + "step": 5449 + }, + { + "epoch": 0.46, + "learning_rate": 1.1738283911441159e-05, + "loss": 0.9147, + "step": 5450 + }, + { + "epoch": 0.46, + "learning_rate": 1.1735580687473047e-05, + "loss": 0.8751, + "step": 5451 + }, + { + "epoch": 0.46, + "learning_rate": 1.1732877332733479e-05, + "loss": 0.8991, + "step": 5452 + }, + { + "epoch": 0.46, + "learning_rate": 1.1730173847426148e-05, + "loss": 0.9128, + "step": 5453 + }, + { + "epoch": 0.46, + "learning_rate": 1.1727470231754749e-05, + "loss": 0.8616, + "step": 5454 + }, + { + "epoch": 0.46, + "learning_rate": 1.1724766485922998e-05, + "loss": 0.9183, + "step": 5455 + }, + { + "epoch": 0.46, + "learning_rate": 1.1722062610134615e-05, + "loss": 0.9116, + "step": 5456 + }, + { + "epoch": 0.46, + "learning_rate": 1.1719358604593326e-05, + "loss": 0.8595, + "step": 5457 + }, + { + "epoch": 0.46, + "learning_rate": 1.1716654469502875e-05, + "loss": 0.8691, + "step": 5458 + }, + { + "epoch": 0.46, + "learning_rate": 1.1713950205067008e-05, + "loss": 0.894, + "step": 5459 + }, + { + "epoch": 0.46, + "learning_rate": 1.1711245811489485e-05, + "loss": 0.923, + "step": 5460 + }, + { + "epoch": 0.46, + "learning_rate": 1.1708541288974074e-05, + "loss": 0.9256, + "step": 5461 + }, + { + "epoch": 0.46, + "learning_rate": 1.1705836637724558e-05, + "loss": 0.9251, + "step": 5462 + }, + { + "epoch": 0.46, + "learning_rate": 1.170313185794472e-05, + "loss": 0.9649, + "step": 5463 + }, + { + "epoch": 0.46, + "learning_rate": 1.1700426949838364e-05, + "loss": 0.9078, + "step": 5464 + }, + { + "epoch": 0.46, + "learning_rate": 1.1697721913609295e-05, + "loss": 0.9054, + "step": 5465 + }, + { + "epoch": 0.46, + "learning_rate": 1.1695016749461328e-05, + "loss": 0.9263, + "step": 5466 + }, + { + "epoch": 0.46, + "learning_rate": 1.1692311457598291e-05, + "loss": 0.9403, + "step": 5467 + }, + { + "epoch": 0.46, + "learning_rate": 1.1689606038224024e-05, + "loss": 0.8143, + "step": 5468 + }, + { + "epoch": 0.46, + "learning_rate": 1.168690049154237e-05, + "loss": 0.9581, + "step": 5469 + }, + { + "epoch": 0.46, + "learning_rate": 1.1684194817757184e-05, + "loss": 0.9336, + "step": 5470 + }, + { + "epoch": 0.46, + "learning_rate": 1.1681489017072333e-05, + "loss": 0.8871, + "step": 5471 + }, + { + "epoch": 0.46, + "learning_rate": 1.1678783089691695e-05, + "loss": 0.9117, + "step": 5472 + }, + { + "epoch": 0.46, + "learning_rate": 1.1676077035819148e-05, + "loss": 0.9037, + "step": 5473 + }, + { + "epoch": 0.46, + "learning_rate": 1.1673370855658592e-05, + "loss": 0.8881, + "step": 5474 + }, + { + "epoch": 0.46, + "learning_rate": 1.1670664549413928e-05, + "loss": 0.9401, + "step": 5475 + }, + { + "epoch": 0.46, + "learning_rate": 1.1667958117289068e-05, + "loss": 0.8843, + "step": 5476 + }, + { + "epoch": 0.46, + "learning_rate": 1.1665251559487938e-05, + "loss": 0.8661, + "step": 5477 + }, + { + "epoch": 0.46, + "learning_rate": 1.1662544876214468e-05, + "loss": 0.8844, + "step": 5478 + }, + { + "epoch": 0.46, + "learning_rate": 1.16598380676726e-05, + "loss": 0.9212, + "step": 5479 + }, + { + "epoch": 0.46, + "learning_rate": 1.1657131134066281e-05, + "loss": 0.9053, + "step": 5480 + }, + { + "epoch": 0.46, + "learning_rate": 1.1654424075599478e-05, + "loss": 0.93, + "step": 5481 + }, + { + "epoch": 0.46, + "learning_rate": 1.1651716892476154e-05, + "loss": 0.9128, + "step": 5482 + }, + { + "epoch": 0.46, + "learning_rate": 1.1649009584900293e-05, + "loss": 0.8807, + "step": 5483 + }, + { + "epoch": 0.46, + "learning_rate": 1.1646302153075882e-05, + "loss": 0.9128, + "step": 5484 + }, + { + "epoch": 0.46, + "learning_rate": 1.164359459720692e-05, + "loss": 0.9036, + "step": 5485 + }, + { + "epoch": 0.46, + "learning_rate": 1.1640886917497412e-05, + "loss": 0.8694, + "step": 5486 + }, + { + "epoch": 0.47, + "learning_rate": 1.1638179114151378e-05, + "loss": 0.8836, + "step": 5487 + }, + { + "epoch": 0.47, + "learning_rate": 1.163547118737284e-05, + "loss": 0.9203, + "step": 5488 + }, + { + "epoch": 0.47, + "learning_rate": 1.1632763137365837e-05, + "loss": 0.9259, + "step": 5489 + }, + { + "epoch": 0.47, + "learning_rate": 1.163005496433441e-05, + "loss": 0.9567, + "step": 5490 + }, + { + "epoch": 0.47, + "learning_rate": 1.1627346668482614e-05, + "loss": 0.9046, + "step": 5491 + }, + { + "epoch": 0.47, + "learning_rate": 1.162463825001451e-05, + "loss": 0.915, + "step": 5492 + }, + { + "epoch": 0.47, + "learning_rate": 1.1621929709134177e-05, + "loss": 0.9237, + "step": 5493 + }, + { + "epoch": 0.47, + "learning_rate": 1.1619221046045688e-05, + "loss": 0.8647, + "step": 5494 + }, + { + "epoch": 0.47, + "learning_rate": 1.1616512260953139e-05, + "loss": 0.9058, + "step": 5495 + }, + { + "epoch": 0.47, + "learning_rate": 1.1613803354060626e-05, + "loss": 0.9382, + "step": 5496 + }, + { + "epoch": 0.47, + "learning_rate": 1.1611094325572263e-05, + "loss": 0.9157, + "step": 5497 + }, + { + "epoch": 0.47, + "learning_rate": 1.1608385175692165e-05, + "loss": 0.9109, + "step": 5498 + }, + { + "epoch": 0.47, + "learning_rate": 1.160567590462446e-05, + "loss": 0.9433, + "step": 5499 + }, + { + "epoch": 0.47, + "learning_rate": 1.1602966512573286e-05, + "loss": 0.8673, + "step": 5500 + }, + { + "epoch": 0.47, + "learning_rate": 1.1600256999742785e-05, + "loss": 0.8081, + "step": 5501 + }, + { + "epoch": 0.47, + "learning_rate": 1.1597547366337114e-05, + "loss": 0.9463, + "step": 5502 + }, + { + "epoch": 0.47, + "learning_rate": 1.1594837612560437e-05, + "loss": 0.8739, + "step": 5503 + }, + { + "epoch": 0.47, + "learning_rate": 1.1592127738616925e-05, + "loss": 0.8576, + "step": 5504 + }, + { + "epoch": 0.47, + "learning_rate": 1.1589417744710758e-05, + "loss": 0.8583, + "step": 5505 + }, + { + "epoch": 0.47, + "learning_rate": 1.1586707631046135e-05, + "loss": 0.9604, + "step": 5506 + }, + { + "epoch": 0.47, + "learning_rate": 1.158399739782725e-05, + "loss": 0.9026, + "step": 5507 + }, + { + "epoch": 0.47, + "learning_rate": 1.1581287045258312e-05, + "loss": 0.9093, + "step": 5508 + }, + { + "epoch": 0.47, + "learning_rate": 1.1578576573543541e-05, + "loss": 0.9115, + "step": 5509 + }, + { + "epoch": 0.47, + "learning_rate": 1.1575865982887164e-05, + "loss": 0.9093, + "step": 5510 + }, + { + "epoch": 0.47, + "learning_rate": 1.1573155273493415e-05, + "loss": 0.8985, + "step": 5511 + }, + { + "epoch": 0.47, + "learning_rate": 1.1570444445566538e-05, + "loss": 0.9407, + "step": 5512 + }, + { + "epoch": 0.47, + "learning_rate": 1.156773349931079e-05, + "loss": 0.8844, + "step": 5513 + }, + { + "epoch": 0.47, + "learning_rate": 1.1565022434930433e-05, + "loss": 0.5088, + "step": 5514 + }, + { + "epoch": 0.47, + "learning_rate": 1.1562311252629736e-05, + "loss": 0.5697, + "step": 5515 + }, + { + "epoch": 0.47, + "learning_rate": 1.1559599952612981e-05, + "loss": 0.9193, + "step": 5516 + }, + { + "epoch": 0.47, + "learning_rate": 1.1556888535084458e-05, + "loss": 0.9207, + "step": 5517 + }, + { + "epoch": 0.47, + "learning_rate": 1.1554177000248466e-05, + "loss": 0.8638, + "step": 5518 + }, + { + "epoch": 0.47, + "learning_rate": 1.155146534830931e-05, + "loss": 0.873, + "step": 5519 + }, + { + "epoch": 0.47, + "learning_rate": 1.1548753579471306e-05, + "loss": 0.9465, + "step": 5520 + }, + { + "epoch": 0.47, + "learning_rate": 1.1546041693938784e-05, + "loss": 0.9108, + "step": 5521 + }, + { + "epoch": 0.47, + "learning_rate": 1.1543329691916067e-05, + "loss": 0.9475, + "step": 5522 + }, + { + "epoch": 0.47, + "learning_rate": 1.1540617573607506e-05, + "loss": 0.9473, + "step": 5523 + }, + { + "epoch": 0.47, + "learning_rate": 1.1537905339217448e-05, + "loss": 0.9387, + "step": 5524 + }, + { + "epoch": 0.47, + "learning_rate": 1.1535192988950254e-05, + "loss": 0.9171, + "step": 5525 + }, + { + "epoch": 0.47, + "learning_rate": 1.1532480523010292e-05, + "loss": 0.8907, + "step": 5526 + }, + { + "epoch": 0.47, + "learning_rate": 1.1529767941601937e-05, + "loss": 0.9231, + "step": 5527 + }, + { + "epoch": 0.47, + "learning_rate": 1.1527055244929579e-05, + "loss": 0.903, + "step": 5528 + }, + { + "epoch": 0.47, + "learning_rate": 1.1524342433197614e-05, + "loss": 0.885, + "step": 5529 + }, + { + "epoch": 0.47, + "learning_rate": 1.1521629506610439e-05, + "loss": 0.9206, + "step": 5530 + }, + { + "epoch": 0.47, + "learning_rate": 1.1518916465372474e-05, + "loss": 0.8859, + "step": 5531 + }, + { + "epoch": 0.47, + "learning_rate": 1.151620330968813e-05, + "loss": 0.9247, + "step": 5532 + }, + { + "epoch": 0.47, + "learning_rate": 1.1513490039761843e-05, + "loss": 0.9003, + "step": 5533 + }, + { + "epoch": 0.47, + "learning_rate": 1.1510776655798045e-05, + "loss": 0.9238, + "step": 5534 + }, + { + "epoch": 0.47, + "learning_rate": 1.150806315800119e-05, + "loss": 0.9184, + "step": 5535 + }, + { + "epoch": 0.47, + "learning_rate": 1.1505349546575728e-05, + "loss": 0.8966, + "step": 5536 + }, + { + "epoch": 0.47, + "learning_rate": 1.1502635821726125e-05, + "loss": 0.9149, + "step": 5537 + }, + { + "epoch": 0.47, + "learning_rate": 1.1499921983656848e-05, + "loss": 0.942, + "step": 5538 + }, + { + "epoch": 0.47, + "learning_rate": 1.1497208032572385e-05, + "loss": 0.9052, + "step": 5539 + }, + { + "epoch": 0.47, + "learning_rate": 1.1494493968677216e-05, + "loss": 0.9382, + "step": 5540 + }, + { + "epoch": 0.47, + "learning_rate": 1.1491779792175848e-05, + "loss": 0.94, + "step": 5541 + }, + { + "epoch": 0.47, + "learning_rate": 1.1489065503272785e-05, + "loss": 0.9596, + "step": 5542 + }, + { + "epoch": 0.47, + "learning_rate": 1.1486351102172534e-05, + "loss": 0.847, + "step": 5543 + }, + { + "epoch": 0.47, + "learning_rate": 1.1483636589079627e-05, + "loss": 0.8832, + "step": 5544 + }, + { + "epoch": 0.47, + "learning_rate": 1.148092196419859e-05, + "loss": 0.9098, + "step": 5545 + }, + { + "epoch": 0.47, + "learning_rate": 1.1478207227733966e-05, + "loss": 0.9315, + "step": 5546 + }, + { + "epoch": 0.47, + "learning_rate": 1.1475492379890301e-05, + "loss": 0.9079, + "step": 5547 + }, + { + "epoch": 0.47, + "learning_rate": 1.1472777420872154e-05, + "loss": 0.911, + "step": 5548 + }, + { + "epoch": 0.47, + "learning_rate": 1.1470062350884086e-05, + "loss": 0.9476, + "step": 5549 + }, + { + "epoch": 0.47, + "learning_rate": 1.1467347170130674e-05, + "loss": 0.8542, + "step": 5550 + }, + { + "epoch": 0.47, + "learning_rate": 1.1464631878816502e-05, + "loss": 0.9237, + "step": 5551 + }, + { + "epoch": 0.47, + "learning_rate": 1.1461916477146156e-05, + "loss": 0.9075, + "step": 5552 + }, + { + "epoch": 0.47, + "learning_rate": 1.1459200965324233e-05, + "loss": 0.9024, + "step": 5553 + }, + { + "epoch": 0.47, + "learning_rate": 1.1456485343555344e-05, + "loss": 0.9154, + "step": 5554 + }, + { + "epoch": 0.47, + "learning_rate": 1.14537696120441e-05, + "loss": 0.5884, + "step": 5555 + }, + { + "epoch": 0.47, + "learning_rate": 1.1451053770995131e-05, + "loss": 0.9428, + "step": 5556 + }, + { + "epoch": 0.47, + "learning_rate": 1.1448337820613061e-05, + "loss": 0.8925, + "step": 5557 + }, + { + "epoch": 0.47, + "learning_rate": 1.1445621761102532e-05, + "loss": 0.9123, + "step": 5558 + }, + { + "epoch": 0.47, + "learning_rate": 1.1442905592668191e-05, + "loss": 0.9331, + "step": 5559 + }, + { + "epoch": 0.47, + "learning_rate": 1.1440189315514698e-05, + "loss": 0.9468, + "step": 5560 + }, + { + "epoch": 0.47, + "learning_rate": 1.1437472929846715e-05, + "loss": 0.9059, + "step": 5561 + }, + { + "epoch": 0.47, + "learning_rate": 1.1434756435868917e-05, + "loss": 0.864, + "step": 5562 + }, + { + "epoch": 0.47, + "learning_rate": 1.1432039833785979e-05, + "loss": 0.9173, + "step": 5563 + }, + { + "epoch": 0.47, + "learning_rate": 1.1429323123802593e-05, + "loss": 0.8709, + "step": 5564 + }, + { + "epoch": 0.47, + "learning_rate": 1.1426606306123458e-05, + "loss": 0.9246, + "step": 5565 + }, + { + "epoch": 0.47, + "learning_rate": 1.1423889380953277e-05, + "loss": 0.9352, + "step": 5566 + }, + { + "epoch": 0.47, + "learning_rate": 1.1421172348496763e-05, + "loss": 0.9208, + "step": 5567 + }, + { + "epoch": 0.47, + "learning_rate": 1.1418455208958636e-05, + "loss": 0.9266, + "step": 5568 + }, + { + "epoch": 0.47, + "learning_rate": 1.141573796254363e-05, + "loss": 0.921, + "step": 5569 + }, + { + "epoch": 0.47, + "learning_rate": 1.1413020609456477e-05, + "loss": 0.9669, + "step": 5570 + }, + { + "epoch": 0.47, + "learning_rate": 1.1410303149901924e-05, + "loss": 0.8927, + "step": 5571 + }, + { + "epoch": 0.47, + "learning_rate": 1.1407585584084726e-05, + "loss": 0.8842, + "step": 5572 + }, + { + "epoch": 0.47, + "learning_rate": 1.1404867912209647e-05, + "loss": 0.9652, + "step": 5573 + }, + { + "epoch": 0.47, + "learning_rate": 1.1402150134481453e-05, + "loss": 0.8735, + "step": 5574 + }, + { + "epoch": 0.47, + "learning_rate": 1.1399432251104918e-05, + "loss": 0.8973, + "step": 5575 + }, + { + "epoch": 0.47, + "learning_rate": 1.1396714262284833e-05, + "loss": 0.9394, + "step": 5576 + }, + { + "epoch": 0.47, + "learning_rate": 1.1393996168225989e-05, + "loss": 0.9078, + "step": 5577 + }, + { + "epoch": 0.47, + "learning_rate": 1.139127796913319e-05, + "loss": 0.9136, + "step": 5578 + }, + { + "epoch": 0.47, + "learning_rate": 1.1388559665211241e-05, + "loss": 0.9591, + "step": 5579 + }, + { + "epoch": 0.47, + "learning_rate": 1.138584125666496e-05, + "loss": 0.9283, + "step": 5580 + }, + { + "epoch": 0.47, + "learning_rate": 1.1383122743699173e-05, + "loss": 0.8984, + "step": 5581 + }, + { + "epoch": 0.47, + "learning_rate": 1.1380404126518714e-05, + "loss": 0.94, + "step": 5582 + }, + { + "epoch": 0.47, + "learning_rate": 1.1377685405328423e-05, + "loss": 0.8714, + "step": 5583 + }, + { + "epoch": 0.47, + "learning_rate": 1.1374966580333147e-05, + "loss": 0.8865, + "step": 5584 + }, + { + "epoch": 0.47, + "learning_rate": 1.1372247651737742e-05, + "loss": 0.9236, + "step": 5585 + }, + { + "epoch": 0.47, + "learning_rate": 1.1369528619747074e-05, + "loss": 0.8982, + "step": 5586 + }, + { + "epoch": 0.47, + "learning_rate": 1.1366809484566015e-05, + "loss": 0.9387, + "step": 5587 + }, + { + "epoch": 0.47, + "learning_rate": 1.1364090246399441e-05, + "loss": 0.8864, + "step": 5588 + }, + { + "epoch": 0.47, + "learning_rate": 1.1361370905452246e-05, + "loss": 0.8874, + "step": 5589 + }, + { + "epoch": 0.47, + "learning_rate": 1.1358651461929319e-05, + "loss": 0.8493, + "step": 5590 + }, + { + "epoch": 0.47, + "learning_rate": 1.135593191603557e-05, + "loss": 0.9266, + "step": 5591 + }, + { + "epoch": 0.47, + "learning_rate": 1.1353212267975901e-05, + "loss": 0.9311, + "step": 5592 + }, + { + "epoch": 0.47, + "learning_rate": 1.1350492517955234e-05, + "loss": 0.9356, + "step": 5593 + }, + { + "epoch": 0.47, + "learning_rate": 1.1347772666178501e-05, + "loss": 0.9227, + "step": 5594 + }, + { + "epoch": 0.47, + "learning_rate": 1.1345052712850626e-05, + "loss": 0.9291, + "step": 5595 + }, + { + "epoch": 0.47, + "learning_rate": 1.1342332658176556e-05, + "loss": 0.9316, + "step": 5596 + }, + { + "epoch": 0.47, + "learning_rate": 1.133961250236124e-05, + "loss": 0.8629, + "step": 5597 + }, + { + "epoch": 0.47, + "learning_rate": 1.133689224560963e-05, + "loss": 0.9355, + "step": 5598 + }, + { + "epoch": 0.47, + "learning_rate": 1.1334171888126698e-05, + "loss": 0.8842, + "step": 5599 + }, + { + "epoch": 0.47, + "learning_rate": 1.1331451430117406e-05, + "loss": 0.9341, + "step": 5600 + }, + { + "epoch": 0.47, + "learning_rate": 1.1328730871786742e-05, + "loss": 0.8994, + "step": 5601 + }, + { + "epoch": 0.47, + "learning_rate": 1.1326010213339688e-05, + "loss": 0.9477, + "step": 5602 + }, + { + "epoch": 0.47, + "learning_rate": 1.1323289454981243e-05, + "loss": 0.9291, + "step": 5603 + }, + { + "epoch": 0.47, + "learning_rate": 1.1320568596916405e-05, + "loss": 0.9312, + "step": 5604 + }, + { + "epoch": 0.48, + "learning_rate": 1.1317847639350186e-05, + "loss": 0.8705, + "step": 5605 + }, + { + "epoch": 0.48, + "learning_rate": 1.1315126582487599e-05, + "loss": 0.9169, + "step": 5606 + }, + { + "epoch": 0.48, + "learning_rate": 1.1312405426533672e-05, + "loss": 0.8726, + "step": 5607 + }, + { + "epoch": 0.48, + "learning_rate": 1.1309684171693435e-05, + "loss": 0.888, + "step": 5608 + }, + { + "epoch": 0.48, + "learning_rate": 1.1306962818171932e-05, + "loss": 0.8654, + "step": 5609 + }, + { + "epoch": 0.48, + "learning_rate": 1.1304241366174205e-05, + "loss": 0.9369, + "step": 5610 + }, + { + "epoch": 0.48, + "learning_rate": 1.1301519815905309e-05, + "loss": 0.9085, + "step": 5611 + }, + { + "epoch": 0.48, + "learning_rate": 1.1298798167570306e-05, + "loss": 0.9131, + "step": 5612 + }, + { + "epoch": 0.48, + "learning_rate": 1.1296076421374264e-05, + "loss": 0.9089, + "step": 5613 + }, + { + "epoch": 0.48, + "learning_rate": 1.1293354577522264e-05, + "loss": 0.874, + "step": 5614 + }, + { + "epoch": 0.48, + "learning_rate": 1.1290632636219385e-05, + "loss": 0.9544, + "step": 5615 + }, + { + "epoch": 0.48, + "learning_rate": 1.1287910597670722e-05, + "loss": 0.8974, + "step": 5616 + }, + { + "epoch": 0.48, + "learning_rate": 1.128518846208137e-05, + "loss": 0.9571, + "step": 5617 + }, + { + "epoch": 0.48, + "learning_rate": 1.1282466229656435e-05, + "loss": 0.8981, + "step": 5618 + }, + { + "epoch": 0.48, + "learning_rate": 1.1279743900601033e-05, + "loss": 0.9289, + "step": 5619 + }, + { + "epoch": 0.48, + "learning_rate": 1.127702147512028e-05, + "loss": 0.8478, + "step": 5620 + }, + { + "epoch": 0.48, + "learning_rate": 1.1274298953419307e-05, + "loss": 0.8601, + "step": 5621 + }, + { + "epoch": 0.48, + "learning_rate": 1.127157633570325e-05, + "loss": 0.8695, + "step": 5622 + }, + { + "epoch": 0.48, + "learning_rate": 1.1268853622177248e-05, + "loss": 0.9417, + "step": 5623 + }, + { + "epoch": 0.48, + "learning_rate": 1.1266130813046449e-05, + "loss": 0.9495, + "step": 5624 + }, + { + "epoch": 0.48, + "learning_rate": 1.1263407908516018e-05, + "loss": 0.9193, + "step": 5625 + }, + { + "epoch": 0.48, + "learning_rate": 1.1260684908791109e-05, + "loss": 0.9337, + "step": 5626 + }, + { + "epoch": 0.48, + "learning_rate": 1.1257961814076897e-05, + "loss": 0.8835, + "step": 5627 + }, + { + "epoch": 0.48, + "learning_rate": 1.1255238624578559e-05, + "loss": 0.9352, + "step": 5628 + }, + { + "epoch": 0.48, + "learning_rate": 1.1252515340501282e-05, + "loss": 0.9391, + "step": 5629 + }, + { + "epoch": 0.48, + "learning_rate": 1.1249791962050256e-05, + "loss": 0.883, + "step": 5630 + }, + { + "epoch": 0.48, + "learning_rate": 1.1247068489430682e-05, + "loss": 0.8757, + "step": 5631 + }, + { + "epoch": 0.48, + "learning_rate": 1.1244344922847765e-05, + "loss": 0.9054, + "step": 5632 + }, + { + "epoch": 0.48, + "learning_rate": 1.1241621262506722e-05, + "loss": 0.9155, + "step": 5633 + }, + { + "epoch": 0.48, + "learning_rate": 1.123889750861277e-05, + "loss": 0.9231, + "step": 5634 + }, + { + "epoch": 0.48, + "learning_rate": 1.1236173661371139e-05, + "loss": 0.8925, + "step": 5635 + }, + { + "epoch": 0.48, + "learning_rate": 1.1233449720987063e-05, + "loss": 0.9234, + "step": 5636 + }, + { + "epoch": 0.48, + "learning_rate": 1.1230725687665783e-05, + "loss": 0.8831, + "step": 5637 + }, + { + "epoch": 0.48, + "learning_rate": 1.1228001561612547e-05, + "loss": 0.8794, + "step": 5638 + }, + { + "epoch": 0.48, + "learning_rate": 1.1225277343032614e-05, + "loss": 0.5844, + "step": 5639 + }, + { + "epoch": 0.48, + "learning_rate": 1.1222553032131244e-05, + "loss": 0.9302, + "step": 5640 + }, + { + "epoch": 0.48, + "learning_rate": 1.1219828629113707e-05, + "loss": 0.8958, + "step": 5641 + }, + { + "epoch": 0.48, + "learning_rate": 1.1217104134185281e-05, + "loss": 0.9195, + "step": 5642 + }, + { + "epoch": 0.48, + "learning_rate": 1.121437954755125e-05, + "loss": 0.8831, + "step": 5643 + }, + { + "epoch": 0.48, + "learning_rate": 1.1211654869416901e-05, + "loss": 0.9019, + "step": 5644 + }, + { + "epoch": 0.48, + "learning_rate": 1.1208930099987536e-05, + "loss": 0.9069, + "step": 5645 + }, + { + "epoch": 0.48, + "learning_rate": 1.1206205239468457e-05, + "loss": 0.9372, + "step": 5646 + }, + { + "epoch": 0.48, + "learning_rate": 1.1203480288064974e-05, + "loss": 0.8675, + "step": 5647 + }, + { + "epoch": 0.48, + "learning_rate": 1.1200755245982405e-05, + "loss": 0.8787, + "step": 5648 + }, + { + "epoch": 0.48, + "learning_rate": 1.1198030113426074e-05, + "loss": 0.9006, + "step": 5649 + }, + { + "epoch": 0.48, + "learning_rate": 1.1195304890601317e-05, + "loss": 0.8926, + "step": 5650 + }, + { + "epoch": 0.48, + "learning_rate": 1.119257957771347e-05, + "loss": 0.971, + "step": 5651 + }, + { + "epoch": 0.48, + "learning_rate": 1.1189854174967876e-05, + "loss": 0.8995, + "step": 5652 + }, + { + "epoch": 0.48, + "learning_rate": 1.1187128682569888e-05, + "loss": 0.9143, + "step": 5653 + }, + { + "epoch": 0.48, + "learning_rate": 1.1184403100724868e-05, + "loss": 0.8755, + "step": 5654 + }, + { + "epoch": 0.48, + "learning_rate": 1.1181677429638176e-05, + "loss": 0.9122, + "step": 5655 + }, + { + "epoch": 0.48, + "learning_rate": 1.117895166951519e-05, + "loss": 0.9232, + "step": 5656 + }, + { + "epoch": 0.48, + "learning_rate": 1.1176225820561284e-05, + "loss": 0.8747, + "step": 5657 + }, + { + "epoch": 0.48, + "learning_rate": 1.1173499882981847e-05, + "loss": 0.9661, + "step": 5658 + }, + { + "epoch": 0.48, + "learning_rate": 1.1170773856982268e-05, + "loss": 0.9184, + "step": 5659 + }, + { + "epoch": 0.48, + "learning_rate": 1.1168047742767949e-05, + "loss": 0.8878, + "step": 5660 + }, + { + "epoch": 0.48, + "learning_rate": 1.1165321540544294e-05, + "loss": 0.9003, + "step": 5661 + }, + { + "epoch": 0.48, + "learning_rate": 1.1162595250516715e-05, + "loss": 0.8834, + "step": 5662 + }, + { + "epoch": 0.48, + "learning_rate": 1.115986887289063e-05, + "loss": 0.9332, + "step": 5663 + }, + { + "epoch": 0.48, + "learning_rate": 1.1157142407871469e-05, + "loss": 0.9338, + "step": 5664 + }, + { + "epoch": 0.48, + "learning_rate": 1.1154415855664657e-05, + "loss": 0.8968, + "step": 5665 + }, + { + "epoch": 0.48, + "learning_rate": 1.1151689216475641e-05, + "loss": 0.9053, + "step": 5666 + }, + { + "epoch": 0.48, + "learning_rate": 1.114896249050986e-05, + "loss": 0.9117, + "step": 5667 + }, + { + "epoch": 0.48, + "learning_rate": 1.1146235677972765e-05, + "loss": 0.9067, + "step": 5668 + }, + { + "epoch": 0.48, + "learning_rate": 1.1143508779069817e-05, + "loss": 0.9098, + "step": 5669 + }, + { + "epoch": 0.48, + "learning_rate": 1.1140781794006479e-05, + "loss": 0.8462, + "step": 5670 + }, + { + "epoch": 0.48, + "learning_rate": 1.1138054722988223e-05, + "loss": 0.5792, + "step": 5671 + }, + { + "epoch": 0.48, + "learning_rate": 1.1135327566220528e-05, + "loss": 0.925, + "step": 5672 + }, + { + "epoch": 0.48, + "learning_rate": 1.1132600323908876e-05, + "loss": 0.9179, + "step": 5673 + }, + { + "epoch": 0.48, + "learning_rate": 1.1129872996258757e-05, + "loss": 0.8855, + "step": 5674 + }, + { + "epoch": 0.48, + "learning_rate": 1.1127145583475671e-05, + "loss": 0.9066, + "step": 5675 + }, + { + "epoch": 0.48, + "learning_rate": 1.112441808576512e-05, + "loss": 0.8996, + "step": 5676 + }, + { + "epoch": 0.48, + "learning_rate": 1.1121690503332613e-05, + "loss": 0.919, + "step": 5677 + }, + { + "epoch": 0.48, + "learning_rate": 1.1118962836383667e-05, + "loss": 0.8757, + "step": 5678 + }, + { + "epoch": 0.48, + "learning_rate": 1.1116235085123804e-05, + "loss": 0.916, + "step": 5679 + }, + { + "epoch": 0.48, + "learning_rate": 1.1113507249758553e-05, + "loss": 0.8893, + "step": 5680 + }, + { + "epoch": 0.48, + "learning_rate": 1.1110779330493448e-05, + "loss": 0.9251, + "step": 5681 + }, + { + "epoch": 0.48, + "learning_rate": 1.1108051327534035e-05, + "loss": 0.8713, + "step": 5682 + }, + { + "epoch": 0.48, + "learning_rate": 1.1105323241085856e-05, + "loss": 0.9346, + "step": 5683 + }, + { + "epoch": 0.48, + "learning_rate": 1.1102595071354471e-05, + "loss": 0.8693, + "step": 5684 + }, + { + "epoch": 0.48, + "learning_rate": 1.1099866818545437e-05, + "loss": 0.8832, + "step": 5685 + }, + { + "epoch": 0.48, + "learning_rate": 1.109713848286432e-05, + "loss": 0.8884, + "step": 5686 + }, + { + "epoch": 0.48, + "learning_rate": 1.1094410064516694e-05, + "loss": 0.8871, + "step": 5687 + }, + { + "epoch": 0.48, + "learning_rate": 1.1091681563708142e-05, + "loss": 0.8868, + "step": 5688 + }, + { + "epoch": 0.48, + "learning_rate": 1.1088952980644242e-05, + "loss": 0.894, + "step": 5689 + }, + { + "epoch": 0.48, + "learning_rate": 1.1086224315530589e-05, + "loss": 0.8696, + "step": 5690 + }, + { + "epoch": 0.48, + "learning_rate": 1.1083495568572781e-05, + "loss": 0.8833, + "step": 5691 + }, + { + "epoch": 0.48, + "learning_rate": 1.1080766739976424e-05, + "loss": 0.9301, + "step": 5692 + }, + { + "epoch": 0.48, + "learning_rate": 1.1078037829947123e-05, + "loss": 0.9415, + "step": 5693 + }, + { + "epoch": 0.48, + "learning_rate": 1.10753088386905e-05, + "loss": 0.924, + "step": 5694 + }, + { + "epoch": 0.48, + "learning_rate": 1.1072579766412172e-05, + "loss": 0.9366, + "step": 5695 + }, + { + "epoch": 0.48, + "learning_rate": 1.1069850613317772e-05, + "loss": 0.9332, + "step": 5696 + }, + { + "epoch": 0.48, + "learning_rate": 1.1067121379612933e-05, + "loss": 0.8877, + "step": 5697 + }, + { + "epoch": 0.48, + "learning_rate": 1.1064392065503294e-05, + "loss": 0.918, + "step": 5698 + }, + { + "epoch": 0.48, + "learning_rate": 1.1061662671194503e-05, + "loss": 0.9269, + "step": 5699 + }, + { + "epoch": 0.48, + "learning_rate": 1.1058933196892214e-05, + "loss": 0.8681, + "step": 5700 + }, + { + "epoch": 0.48, + "learning_rate": 1.1056203642802081e-05, + "loss": 0.9208, + "step": 5701 + }, + { + "epoch": 0.48, + "learning_rate": 1.1053474009129774e-05, + "loss": 0.9479, + "step": 5702 + }, + { + "epoch": 0.48, + "learning_rate": 1.1050744296080962e-05, + "loss": 0.8861, + "step": 5703 + }, + { + "epoch": 0.48, + "learning_rate": 1.1048014503861321e-05, + "loss": 0.9127, + "step": 5704 + }, + { + "epoch": 0.48, + "learning_rate": 1.1045284632676535e-05, + "loss": 0.885, + "step": 5705 + }, + { + "epoch": 0.48, + "learning_rate": 1.1042554682732292e-05, + "loss": 0.887, + "step": 5706 + }, + { + "epoch": 0.48, + "learning_rate": 1.1039824654234286e-05, + "loss": 0.9695, + "step": 5707 + }, + { + "epoch": 0.48, + "learning_rate": 1.1037094547388217e-05, + "loss": 0.8849, + "step": 5708 + }, + { + "epoch": 0.48, + "learning_rate": 1.1034364362399794e-05, + "loss": 0.8796, + "step": 5709 + }, + { + "epoch": 0.48, + "learning_rate": 1.1031634099474727e-05, + "loss": 0.8677, + "step": 5710 + }, + { + "epoch": 0.48, + "learning_rate": 1.1028903758818733e-05, + "loss": 0.9098, + "step": 5711 + }, + { + "epoch": 0.48, + "learning_rate": 1.1026173340637541e-05, + "loss": 0.9256, + "step": 5712 + }, + { + "epoch": 0.48, + "learning_rate": 1.1023442845136874e-05, + "loss": 0.9042, + "step": 5713 + }, + { + "epoch": 0.48, + "learning_rate": 1.1020712272522473e-05, + "loss": 0.9136, + "step": 5714 + }, + { + "epoch": 0.48, + "learning_rate": 1.1017981623000078e-05, + "loss": 0.9134, + "step": 5715 + }, + { + "epoch": 0.48, + "learning_rate": 1.1015250896775436e-05, + "loss": 0.9277, + "step": 5716 + }, + { + "epoch": 0.48, + "learning_rate": 1.1012520094054298e-05, + "loss": 0.92, + "step": 5717 + }, + { + "epoch": 0.48, + "learning_rate": 1.1009789215042425e-05, + "loss": 0.892, + "step": 5718 + }, + { + "epoch": 0.48, + "learning_rate": 1.1007058259945584e-05, + "loss": 0.601, + "step": 5719 + }, + { + "epoch": 0.48, + "learning_rate": 1.1004327228969543e-05, + "loss": 0.5258, + "step": 5720 + }, + { + "epoch": 0.48, + "learning_rate": 1.1001596122320076e-05, + "loss": 0.9228, + "step": 5721 + }, + { + "epoch": 0.48, + "learning_rate": 1.0998864940202967e-05, + "loss": 0.878, + "step": 5722 + }, + { + "epoch": 0.49, + "learning_rate": 1.0996133682824004e-05, + "loss": 0.9366, + "step": 5723 + }, + { + "epoch": 0.49, + "learning_rate": 1.0993402350388978e-05, + "loss": 0.8914, + "step": 5724 + }, + { + "epoch": 0.49, + "learning_rate": 1.0990670943103688e-05, + "loss": 0.9101, + "step": 5725 + }, + { + "epoch": 0.49, + "learning_rate": 1.098793946117394e-05, + "loss": 0.8947, + "step": 5726 + }, + { + "epoch": 0.49, + "learning_rate": 1.0985207904805545e-05, + "loss": 0.9122, + "step": 5727 + }, + { + "epoch": 0.49, + "learning_rate": 1.0982476274204314e-05, + "loss": 0.9065, + "step": 5728 + }, + { + "epoch": 0.49, + "learning_rate": 1.0979744569576072e-05, + "loss": 0.9111, + "step": 5729 + }, + { + "epoch": 0.49, + "learning_rate": 1.0977012791126646e-05, + "loss": 0.9024, + "step": 5730 + }, + { + "epoch": 0.49, + "learning_rate": 1.0974280939061867e-05, + "loss": 0.9309, + "step": 5731 + }, + { + "epoch": 0.49, + "learning_rate": 1.0971549013587573e-05, + "loss": 0.9133, + "step": 5732 + }, + { + "epoch": 0.49, + "learning_rate": 1.0968817014909605e-05, + "loss": 0.9023, + "step": 5733 + }, + { + "epoch": 0.49, + "learning_rate": 1.0966084943233818e-05, + "loss": 0.9398, + "step": 5734 + }, + { + "epoch": 0.49, + "learning_rate": 1.0963352798766058e-05, + "loss": 0.8569, + "step": 5735 + }, + { + "epoch": 0.49, + "learning_rate": 1.0960620581712194e-05, + "loss": 0.9073, + "step": 5736 + }, + { + "epoch": 0.49, + "learning_rate": 1.0957888292278084e-05, + "loss": 0.8468, + "step": 5737 + }, + { + "epoch": 0.49, + "learning_rate": 1.0955155930669604e-05, + "loss": 0.9067, + "step": 5738 + }, + { + "epoch": 0.49, + "learning_rate": 1.0952423497092629e-05, + "loss": 0.8906, + "step": 5739 + }, + { + "epoch": 0.49, + "learning_rate": 1.0949690991753036e-05, + "loss": 0.9067, + "step": 5740 + }, + { + "epoch": 0.49, + "learning_rate": 1.0946958414856721e-05, + "loss": 0.8823, + "step": 5741 + }, + { + "epoch": 0.49, + "learning_rate": 1.0944225766609569e-05, + "loss": 0.8795, + "step": 5742 + }, + { + "epoch": 0.49, + "learning_rate": 1.0941493047217482e-05, + "loss": 0.8813, + "step": 5743 + }, + { + "epoch": 0.49, + "learning_rate": 1.093876025688636e-05, + "loss": 0.8914, + "step": 5744 + }, + { + "epoch": 0.49, + "learning_rate": 1.0936027395822114e-05, + "loss": 0.8923, + "step": 5745 + }, + { + "epoch": 0.49, + "learning_rate": 1.0933294464230657e-05, + "loss": 0.9114, + "step": 5746 + }, + { + "epoch": 0.49, + "learning_rate": 1.0930561462317908e-05, + "loss": 0.8784, + "step": 5747 + }, + { + "epoch": 0.49, + "learning_rate": 1.0927828390289794e-05, + "loss": 0.5446, + "step": 5748 + }, + { + "epoch": 0.49, + "learning_rate": 1.092509524835224e-05, + "loss": 0.938, + "step": 5749 + }, + { + "epoch": 0.49, + "learning_rate": 1.0922362036711186e-05, + "loss": 0.9046, + "step": 5750 + }, + { + "epoch": 0.49, + "learning_rate": 1.091962875557257e-05, + "loss": 0.8567, + "step": 5751 + }, + { + "epoch": 0.49, + "learning_rate": 1.0916895405142339e-05, + "loss": 0.8881, + "step": 5752 + }, + { + "epoch": 0.49, + "learning_rate": 1.0914161985626441e-05, + "loss": 0.9055, + "step": 5753 + }, + { + "epoch": 0.49, + "learning_rate": 1.0911428497230834e-05, + "loss": 0.9042, + "step": 5754 + }, + { + "epoch": 0.49, + "learning_rate": 1.0908694940161477e-05, + "loss": 0.9366, + "step": 5755 + }, + { + "epoch": 0.49, + "learning_rate": 1.090596131462434e-05, + "loss": 0.8879, + "step": 5756 + }, + { + "epoch": 0.49, + "learning_rate": 1.0903227620825392e-05, + "loss": 0.873, + "step": 5757 + }, + { + "epoch": 0.49, + "learning_rate": 1.090049385897061e-05, + "loss": 0.5653, + "step": 5758 + }, + { + "epoch": 0.49, + "learning_rate": 1.0897760029265977e-05, + "loss": 0.8952, + "step": 5759 + }, + { + "epoch": 0.49, + "learning_rate": 1.0895026131917478e-05, + "loss": 0.8934, + "step": 5760 + }, + { + "epoch": 0.49, + "learning_rate": 1.0892292167131107e-05, + "loss": 0.9042, + "step": 5761 + }, + { + "epoch": 0.49, + "learning_rate": 1.0889558135112858e-05, + "loss": 0.9444, + "step": 5762 + }, + { + "epoch": 0.49, + "learning_rate": 1.0886824036068738e-05, + "loss": 0.9329, + "step": 5763 + }, + { + "epoch": 0.49, + "learning_rate": 1.0884089870204751e-05, + "loss": 0.8783, + "step": 5764 + }, + { + "epoch": 0.49, + "learning_rate": 1.0881355637726907e-05, + "loss": 0.8392, + "step": 5765 + }, + { + "epoch": 0.49, + "learning_rate": 1.087862133884123e-05, + "loss": 0.9157, + "step": 5766 + }, + { + "epoch": 0.49, + "learning_rate": 1.0875886973753735e-05, + "loss": 0.8772, + "step": 5767 + }, + { + "epoch": 0.49, + "learning_rate": 1.0873152542670453e-05, + "loss": 0.9109, + "step": 5768 + }, + { + "epoch": 0.49, + "learning_rate": 1.0870418045797416e-05, + "loss": 0.9192, + "step": 5769 + }, + { + "epoch": 0.49, + "learning_rate": 1.086768348334066e-05, + "loss": 0.876, + "step": 5770 + }, + { + "epoch": 0.49, + "learning_rate": 1.0864948855506227e-05, + "loss": 0.8546, + "step": 5771 + }, + { + "epoch": 0.49, + "learning_rate": 1.0862214162500172e-05, + "loss": 0.877, + "step": 5772 + }, + { + "epoch": 0.49, + "learning_rate": 1.0859479404528532e-05, + "loss": 0.8697, + "step": 5773 + }, + { + "epoch": 0.49, + "learning_rate": 1.0856744581797374e-05, + "loss": 0.9594, + "step": 5774 + }, + { + "epoch": 0.49, + "learning_rate": 1.0854009694512759e-05, + "loss": 0.8679, + "step": 5775 + }, + { + "epoch": 0.49, + "learning_rate": 1.085127474288075e-05, + "loss": 0.9329, + "step": 5776 + }, + { + "epoch": 0.49, + "learning_rate": 1.0848539727107422e-05, + "loss": 0.5338, + "step": 5777 + }, + { + "epoch": 0.49, + "learning_rate": 1.0845804647398848e-05, + "loss": 0.9014, + "step": 5778 + }, + { + "epoch": 0.49, + "learning_rate": 1.0843069503961112e-05, + "loss": 0.9186, + "step": 5779 + }, + { + "epoch": 0.49, + "learning_rate": 1.0840334297000297e-05, + "loss": 0.8777, + "step": 5780 + }, + { + "epoch": 0.49, + "learning_rate": 1.0837599026722499e-05, + "loss": 0.8982, + "step": 5781 + }, + { + "epoch": 0.49, + "learning_rate": 1.0834863693333805e-05, + "loss": 0.9445, + "step": 5782 + }, + { + "epoch": 0.49, + "learning_rate": 1.0832128297040323e-05, + "loss": 0.9318, + "step": 5783 + }, + { + "epoch": 0.49, + "learning_rate": 1.0829392838048157e-05, + "loss": 0.8511, + "step": 5784 + }, + { + "epoch": 0.49, + "learning_rate": 1.0826657316563412e-05, + "loss": 0.8779, + "step": 5785 + }, + { + "epoch": 0.49, + "learning_rate": 1.0823921732792205e-05, + "loss": 0.9081, + "step": 5786 + }, + { + "epoch": 0.49, + "learning_rate": 1.0821186086940653e-05, + "loss": 0.4637, + "step": 5787 + }, + { + "epoch": 0.49, + "learning_rate": 1.0818450379214887e-05, + "loss": 0.894, + "step": 5788 + }, + { + "epoch": 0.49, + "learning_rate": 1.0815714609821027e-05, + "loss": 0.9254, + "step": 5789 + }, + { + "epoch": 0.49, + "learning_rate": 1.0812978778965208e-05, + "loss": 0.922, + "step": 5790 + }, + { + "epoch": 0.49, + "learning_rate": 1.0810242886853572e-05, + "loss": 0.8597, + "step": 5791 + }, + { + "epoch": 0.49, + "learning_rate": 1.0807506933692255e-05, + "loss": 0.8498, + "step": 5792 + }, + { + "epoch": 0.49, + "learning_rate": 1.0804770919687413e-05, + "loss": 0.8917, + "step": 5793 + }, + { + "epoch": 0.49, + "learning_rate": 1.0802034845045189e-05, + "loss": 0.8637, + "step": 5794 + }, + { + "epoch": 0.49, + "learning_rate": 1.079929870997174e-05, + "loss": 0.892, + "step": 5795 + }, + { + "epoch": 0.49, + "learning_rate": 1.0796562514673228e-05, + "loss": 0.9385, + "step": 5796 + }, + { + "epoch": 0.49, + "learning_rate": 1.079382625935582e-05, + "loss": 0.6672, + "step": 5797 + }, + { + "epoch": 0.49, + "learning_rate": 1.0791089944225684e-05, + "loss": 0.9085, + "step": 5798 + }, + { + "epoch": 0.49, + "learning_rate": 1.0788353569488992e-05, + "loss": 0.9031, + "step": 5799 + }, + { + "epoch": 0.49, + "learning_rate": 1.0785617135351927e-05, + "loss": 0.8974, + "step": 5800 + }, + { + "epoch": 0.49, + "learning_rate": 1.078288064202067e-05, + "loss": 0.8981, + "step": 5801 + }, + { + "epoch": 0.49, + "learning_rate": 1.078014408970141e-05, + "loss": 0.8617, + "step": 5802 + }, + { + "epoch": 0.49, + "learning_rate": 1.0777407478600334e-05, + "loss": 0.8731, + "step": 5803 + }, + { + "epoch": 0.49, + "learning_rate": 1.0774670808923649e-05, + "loss": 0.9363, + "step": 5804 + }, + { + "epoch": 0.49, + "learning_rate": 1.0771934080877542e-05, + "loss": 0.9014, + "step": 5805 + }, + { + "epoch": 0.49, + "learning_rate": 1.0769197294668228e-05, + "loss": 0.9263, + "step": 5806 + }, + { + "epoch": 0.49, + "learning_rate": 1.0766460450501915e-05, + "loss": 0.8987, + "step": 5807 + }, + { + "epoch": 0.49, + "learning_rate": 1.0763723548584813e-05, + "loss": 0.858, + "step": 5808 + }, + { + "epoch": 0.49, + "learning_rate": 1.0760986589123145e-05, + "loss": 0.9591, + "step": 5809 + }, + { + "epoch": 0.49, + "learning_rate": 1.0758249572323134e-05, + "loss": 0.8509, + "step": 5810 + }, + { + "epoch": 0.49, + "learning_rate": 1.0755512498391003e-05, + "loss": 0.9158, + "step": 5811 + }, + { + "epoch": 0.49, + "learning_rate": 1.0752775367532988e-05, + "loss": 0.9327, + "step": 5812 + }, + { + "epoch": 0.49, + "learning_rate": 1.075003817995532e-05, + "loss": 0.519, + "step": 5813 + }, + { + "epoch": 0.49, + "learning_rate": 1.0747300935864245e-05, + "loss": 0.9359, + "step": 5814 + }, + { + "epoch": 0.49, + "learning_rate": 1.0744563635466e-05, + "loss": 0.8745, + "step": 5815 + }, + { + "epoch": 0.49, + "learning_rate": 1.0741826278966836e-05, + "loss": 0.8901, + "step": 5816 + }, + { + "epoch": 0.49, + "learning_rate": 1.0739088866573009e-05, + "loss": 0.8903, + "step": 5817 + }, + { + "epoch": 0.49, + "learning_rate": 1.0736351398490772e-05, + "loss": 0.9084, + "step": 5818 + }, + { + "epoch": 0.49, + "learning_rate": 1.0733613874926385e-05, + "loss": 0.9393, + "step": 5819 + }, + { + "epoch": 0.49, + "learning_rate": 1.0730876296086118e-05, + "loss": 0.9081, + "step": 5820 + }, + { + "epoch": 0.49, + "learning_rate": 1.0728138662176237e-05, + "loss": 0.5745, + "step": 5821 + }, + { + "epoch": 0.49, + "learning_rate": 1.0725400973403018e-05, + "loss": 0.4748, + "step": 5822 + }, + { + "epoch": 0.49, + "learning_rate": 1.0722663229972734e-05, + "loss": 0.9614, + "step": 5823 + }, + { + "epoch": 0.49, + "learning_rate": 1.0719925432091671e-05, + "loss": 0.9187, + "step": 5824 + }, + { + "epoch": 0.49, + "learning_rate": 1.0717187579966118e-05, + "loss": 0.889, + "step": 5825 + }, + { + "epoch": 0.49, + "learning_rate": 1.0714449673802356e-05, + "loss": 0.941, + "step": 5826 + }, + { + "epoch": 0.49, + "learning_rate": 1.0711711713806684e-05, + "loss": 0.8704, + "step": 5827 + }, + { + "epoch": 0.49, + "learning_rate": 1.07089737001854e-05, + "loss": 0.9009, + "step": 5828 + }, + { + "epoch": 0.49, + "learning_rate": 1.0706235633144805e-05, + "loss": 0.8759, + "step": 5829 + }, + { + "epoch": 0.49, + "learning_rate": 1.070349751289121e-05, + "loss": 0.9175, + "step": 5830 + }, + { + "epoch": 0.49, + "learning_rate": 1.070075933963092e-05, + "loss": 0.9362, + "step": 5831 + }, + { + "epoch": 0.49, + "learning_rate": 1.0698021113570248e-05, + "loss": 0.8776, + "step": 5832 + }, + { + "epoch": 0.49, + "learning_rate": 1.0695282834915517e-05, + "loss": 0.9113, + "step": 5833 + }, + { + "epoch": 0.49, + "learning_rate": 1.0692544503873046e-05, + "loss": 0.8859, + "step": 5834 + }, + { + "epoch": 0.49, + "learning_rate": 1.0689806120649164e-05, + "loss": 0.8293, + "step": 5835 + }, + { + "epoch": 0.49, + "learning_rate": 1.0687067685450199e-05, + "loss": 0.8905, + "step": 5836 + }, + { + "epoch": 0.49, + "learning_rate": 1.0684329198482484e-05, + "loss": 0.8961, + "step": 5837 + }, + { + "epoch": 0.49, + "learning_rate": 1.0681590659952355e-05, + "loss": 0.4971, + "step": 5838 + }, + { + "epoch": 0.49, + "learning_rate": 1.067885207006616e-05, + "loss": 0.9251, + "step": 5839 + }, + { + "epoch": 0.49, + "learning_rate": 1.0676113429030238e-05, + "loss": 0.8968, + "step": 5840 + }, + { + "epoch": 0.5, + "learning_rate": 1.0673374737050941e-05, + "loss": 0.8835, + "step": 5841 + }, + { + "epoch": 0.5, + "learning_rate": 1.0670635994334626e-05, + "loss": 0.9581, + "step": 5842 + }, + { + "epoch": 0.5, + "learning_rate": 1.0667897201087644e-05, + "loss": 0.9049, + "step": 5843 + }, + { + "epoch": 0.5, + "learning_rate": 1.0665158357516358e-05, + "loss": 0.9111, + "step": 5844 + }, + { + "epoch": 0.5, + "learning_rate": 1.0662419463827136e-05, + "loss": 0.8586, + "step": 5845 + }, + { + "epoch": 0.5, + "learning_rate": 1.0659680520226346e-05, + "loss": 0.8941, + "step": 5846 + }, + { + "epoch": 0.5, + "learning_rate": 1.0656941526920352e-05, + "loss": 0.9127, + "step": 5847 + }, + { + "epoch": 0.5, + "learning_rate": 1.065420248411554e-05, + "loss": 0.8798, + "step": 5848 + }, + { + "epoch": 0.5, + "learning_rate": 1.065146339201828e-05, + "loss": 0.8721, + "step": 5849 + }, + { + "epoch": 0.5, + "learning_rate": 1.0648724250834966e-05, + "loss": 0.8811, + "step": 5850 + }, + { + "epoch": 0.5, + "learning_rate": 1.0645985060771978e-05, + "loss": 0.9536, + "step": 5851 + }, + { + "epoch": 0.5, + "learning_rate": 1.064324582203571e-05, + "loss": 0.9337, + "step": 5852 + }, + { + "epoch": 0.5, + "learning_rate": 1.0640506534832555e-05, + "loss": 0.8832, + "step": 5853 + }, + { + "epoch": 0.5, + "learning_rate": 1.0637767199368911e-05, + "loss": 0.9257, + "step": 5854 + }, + { + "epoch": 0.5, + "learning_rate": 1.0635027815851182e-05, + "loss": 0.953, + "step": 5855 + }, + { + "epoch": 0.5, + "learning_rate": 1.0632288384485773e-05, + "loss": 0.9053, + "step": 5856 + }, + { + "epoch": 0.5, + "learning_rate": 1.062954890547909e-05, + "loss": 0.8971, + "step": 5857 + }, + { + "epoch": 0.5, + "learning_rate": 1.0626809379037546e-05, + "loss": 0.8452, + "step": 5858 + }, + { + "epoch": 0.5, + "learning_rate": 1.0624069805367558e-05, + "loss": 0.9254, + "step": 5859 + }, + { + "epoch": 0.5, + "learning_rate": 1.0621330184675547e-05, + "loss": 0.9207, + "step": 5860 + }, + { + "epoch": 0.5, + "learning_rate": 1.0618590517167934e-05, + "loss": 0.8841, + "step": 5861 + }, + { + "epoch": 0.5, + "learning_rate": 1.0615850803051149e-05, + "loss": 0.9402, + "step": 5862 + }, + { + "epoch": 0.5, + "learning_rate": 1.0613111042531618e-05, + "loss": 0.9183, + "step": 5863 + }, + { + "epoch": 0.5, + "learning_rate": 1.0610371235815777e-05, + "loss": 0.9006, + "step": 5864 + }, + { + "epoch": 0.5, + "learning_rate": 1.0607631383110066e-05, + "loss": 0.9079, + "step": 5865 + }, + { + "epoch": 0.5, + "learning_rate": 1.060489148462092e-05, + "loss": 0.9087, + "step": 5866 + }, + { + "epoch": 0.5, + "learning_rate": 1.060215154055479e-05, + "loss": 0.844, + "step": 5867 + }, + { + "epoch": 0.5, + "learning_rate": 1.0599411551118117e-05, + "loss": 0.5801, + "step": 5868 + }, + { + "epoch": 0.5, + "learning_rate": 1.0596671516517356e-05, + "loss": 0.923, + "step": 5869 + }, + { + "epoch": 0.5, + "learning_rate": 1.059393143695896e-05, + "loss": 0.8942, + "step": 5870 + }, + { + "epoch": 0.5, + "learning_rate": 1.0591191312649383e-05, + "loss": 0.6336, + "step": 5871 + }, + { + "epoch": 0.5, + "learning_rate": 1.0588451143795093e-05, + "loss": 0.9095, + "step": 5872 + }, + { + "epoch": 0.5, + "learning_rate": 1.0585710930602553e-05, + "loss": 0.9443, + "step": 5873 + }, + { + "epoch": 0.5, + "learning_rate": 1.0582970673278227e-05, + "loss": 0.8963, + "step": 5874 + }, + { + "epoch": 0.5, + "learning_rate": 1.0580230372028593e-05, + "loss": 0.883, + "step": 5875 + }, + { + "epoch": 0.5, + "learning_rate": 1.0577490027060118e-05, + "loss": 0.9023, + "step": 5876 + }, + { + "epoch": 0.5, + "learning_rate": 1.0574749638579287e-05, + "loss": 0.9146, + "step": 5877 + }, + { + "epoch": 0.5, + "learning_rate": 1.0572009206792575e-05, + "loss": 0.9296, + "step": 5878 + }, + { + "epoch": 0.5, + "learning_rate": 1.0569268731906468e-05, + "loss": 0.8934, + "step": 5879 + }, + { + "epoch": 0.5, + "learning_rate": 1.0566528214127454e-05, + "loss": 0.8863, + "step": 5880 + }, + { + "epoch": 0.5, + "learning_rate": 1.0563787653662025e-05, + "loss": 0.9655, + "step": 5881 + }, + { + "epoch": 0.5, + "learning_rate": 1.0561047050716673e-05, + "loss": 0.9215, + "step": 5882 + }, + { + "epoch": 0.5, + "learning_rate": 1.0558306405497897e-05, + "loss": 0.8544, + "step": 5883 + }, + { + "epoch": 0.5, + "learning_rate": 1.0555565718212198e-05, + "loss": 0.9151, + "step": 5884 + }, + { + "epoch": 0.5, + "learning_rate": 1.0552824989066075e-05, + "loss": 0.9251, + "step": 5885 + }, + { + "epoch": 0.5, + "learning_rate": 1.055008421826604e-05, + "loss": 0.8658, + "step": 5886 + }, + { + "epoch": 0.5, + "learning_rate": 1.0547343406018602e-05, + "loss": 0.9431, + "step": 5887 + }, + { + "epoch": 0.5, + "learning_rate": 1.0544602552530274e-05, + "loss": 0.9187, + "step": 5888 + }, + { + "epoch": 0.5, + "learning_rate": 1.054186165800757e-05, + "loss": 0.8959, + "step": 5889 + }, + { + "epoch": 0.5, + "learning_rate": 1.053912072265701e-05, + "loss": 0.9885, + "step": 5890 + }, + { + "epoch": 0.5, + "learning_rate": 1.0536379746685117e-05, + "loss": 0.9169, + "step": 5891 + }, + { + "epoch": 0.5, + "learning_rate": 1.0533638730298415e-05, + "loss": 0.8738, + "step": 5892 + }, + { + "epoch": 0.5, + "learning_rate": 1.0530897673703431e-05, + "loss": 0.9496, + "step": 5893 + }, + { + "epoch": 0.5, + "learning_rate": 1.0528156577106703e-05, + "loss": 0.9177, + "step": 5894 + }, + { + "epoch": 0.5, + "learning_rate": 1.052541544071476e-05, + "loss": 0.972, + "step": 5895 + }, + { + "epoch": 0.5, + "learning_rate": 1.0522674264734141e-05, + "loss": 0.9083, + "step": 5896 + }, + { + "epoch": 0.5, + "learning_rate": 1.0519933049371385e-05, + "loss": 0.9448, + "step": 5897 + }, + { + "epoch": 0.5, + "learning_rate": 1.051719179483304e-05, + "loss": 0.938, + "step": 5898 + }, + { + "epoch": 0.5, + "learning_rate": 1.0514450501325646e-05, + "loss": 0.8511, + "step": 5899 + }, + { + "epoch": 0.5, + "learning_rate": 1.0511709169055758e-05, + "loss": 0.8917, + "step": 5900 + }, + { + "epoch": 0.5, + "learning_rate": 1.0508967798229921e-05, + "loss": 0.87, + "step": 5901 + }, + { + "epoch": 0.5, + "learning_rate": 1.0506226389054697e-05, + "loss": 0.8872, + "step": 5902 + }, + { + "epoch": 0.5, + "learning_rate": 1.0503484941736641e-05, + "loss": 0.9236, + "step": 5903 + }, + { + "epoch": 0.5, + "learning_rate": 1.0500743456482313e-05, + "loss": 0.8835, + "step": 5904 + }, + { + "epoch": 0.5, + "learning_rate": 1.049800193349828e-05, + "loss": 0.9194, + "step": 5905 + }, + { + "epoch": 0.5, + "learning_rate": 1.0495260372991107e-05, + "loss": 0.559, + "step": 5906 + }, + { + "epoch": 0.5, + "learning_rate": 1.0492518775167364e-05, + "loss": 0.8907, + "step": 5907 + }, + { + "epoch": 0.5, + "learning_rate": 1.0489777140233619e-05, + "loss": 0.9127, + "step": 5908 + }, + { + "epoch": 0.5, + "learning_rate": 1.0487035468396456e-05, + "loss": 0.8779, + "step": 5909 + }, + { + "epoch": 0.5, + "learning_rate": 1.0484293759862443e-05, + "loss": 0.9101, + "step": 5910 + }, + { + "epoch": 0.5, + "learning_rate": 1.0481552014838164e-05, + "loss": 0.8341, + "step": 5911 + }, + { + "epoch": 0.5, + "learning_rate": 1.0478810233530203e-05, + "loss": 0.9067, + "step": 5912 + }, + { + "epoch": 0.5, + "learning_rate": 1.0476068416145146e-05, + "loss": 0.9039, + "step": 5913 + }, + { + "epoch": 0.5, + "learning_rate": 1.0473326562889583e-05, + "loss": 0.9238, + "step": 5914 + }, + { + "epoch": 0.5, + "learning_rate": 1.0470584673970102e-05, + "loss": 0.9046, + "step": 5915 + }, + { + "epoch": 0.5, + "learning_rate": 1.04678427495933e-05, + "loss": 0.9445, + "step": 5916 + }, + { + "epoch": 0.5, + "learning_rate": 1.0465100789965774e-05, + "loss": 0.8329, + "step": 5917 + }, + { + "epoch": 0.5, + "learning_rate": 1.0462358795294123e-05, + "loss": 0.8776, + "step": 5918 + }, + { + "epoch": 0.5, + "learning_rate": 1.045961676578495e-05, + "loss": 0.8925, + "step": 5919 + }, + { + "epoch": 0.5, + "learning_rate": 1.0456874701644857e-05, + "loss": 0.9204, + "step": 5920 + }, + { + "epoch": 0.5, + "learning_rate": 1.0454132603080451e-05, + "loss": 0.9366, + "step": 5921 + }, + { + "epoch": 0.5, + "learning_rate": 1.0451390470298346e-05, + "loss": 0.9198, + "step": 5922 + }, + { + "epoch": 0.5, + "learning_rate": 1.044864830350515e-05, + "loss": 0.8792, + "step": 5923 + }, + { + "epoch": 0.5, + "learning_rate": 1.0445906102907482e-05, + "loss": 0.8769, + "step": 5924 + }, + { + "epoch": 0.5, + "learning_rate": 1.0443163868711958e-05, + "loss": 0.9322, + "step": 5925 + }, + { + "epoch": 0.5, + "learning_rate": 1.0440421601125196e-05, + "loss": 0.8701, + "step": 5926 + }, + { + "epoch": 0.5, + "learning_rate": 1.0437679300353825e-05, + "loss": 0.8497, + "step": 5927 + }, + { + "epoch": 0.5, + "learning_rate": 1.0434936966604462e-05, + "loss": 0.9364, + "step": 5928 + }, + { + "epoch": 0.5, + "learning_rate": 1.043219460008374e-05, + "loss": 0.8916, + "step": 5929 + }, + { + "epoch": 0.5, + "learning_rate": 1.0429452200998292e-05, + "loss": 0.9094, + "step": 5930 + }, + { + "epoch": 0.5, + "learning_rate": 1.0426709769554741e-05, + "loss": 0.9571, + "step": 5931 + }, + { + "epoch": 0.5, + "learning_rate": 1.0423967305959727e-05, + "loss": 0.9048, + "step": 5932 + }, + { + "epoch": 0.5, + "learning_rate": 1.042122481041989e-05, + "loss": 0.9371, + "step": 5933 + }, + { + "epoch": 0.5, + "learning_rate": 1.0418482283141867e-05, + "loss": 0.8713, + "step": 5934 + }, + { + "epoch": 0.5, + "learning_rate": 1.0415739724332301e-05, + "loss": 0.8904, + "step": 5935 + }, + { + "epoch": 0.5, + "learning_rate": 1.0412997134197837e-05, + "loss": 0.8945, + "step": 5936 + }, + { + "epoch": 0.5, + "learning_rate": 1.0410254512945118e-05, + "loss": 0.9329, + "step": 5937 + }, + { + "epoch": 0.5, + "learning_rate": 1.0407511860780798e-05, + "loss": 0.8848, + "step": 5938 + }, + { + "epoch": 0.5, + "learning_rate": 1.0404769177911531e-05, + "loss": 0.9487, + "step": 5939 + }, + { + "epoch": 0.5, + "learning_rate": 1.0402026464543969e-05, + "loss": 0.9196, + "step": 5940 + }, + { + "epoch": 0.5, + "learning_rate": 1.0399283720884761e-05, + "loss": 0.9376, + "step": 5941 + }, + { + "epoch": 0.5, + "learning_rate": 1.0396540947140573e-05, + "loss": 0.9305, + "step": 5942 + }, + { + "epoch": 0.5, + "learning_rate": 1.0393798143518066e-05, + "loss": 0.862, + "step": 5943 + }, + { + "epoch": 0.5, + "learning_rate": 1.0391055310223899e-05, + "loss": 0.9767, + "step": 5944 + }, + { + "epoch": 0.5, + "learning_rate": 1.0388312447464739e-05, + "loss": 0.9292, + "step": 5945 + }, + { + "epoch": 0.5, + "learning_rate": 1.0385569555447257e-05, + "loss": 0.8943, + "step": 5946 + }, + { + "epoch": 0.5, + "learning_rate": 1.0382826634378115e-05, + "loss": 0.9033, + "step": 5947 + }, + { + "epoch": 0.5, + "learning_rate": 1.0380083684463993e-05, + "loss": 0.8826, + "step": 5948 + }, + { + "epoch": 0.5, + "learning_rate": 1.037734070591156e-05, + "loss": 0.666, + "step": 5949 + }, + { + "epoch": 0.5, + "learning_rate": 1.0374597698927496e-05, + "loss": 0.8568, + "step": 5950 + }, + { + "epoch": 0.5, + "learning_rate": 1.0371854663718477e-05, + "loss": 0.8783, + "step": 5951 + }, + { + "epoch": 0.5, + "learning_rate": 1.0369111600491184e-05, + "loss": 0.8709, + "step": 5952 + }, + { + "epoch": 0.5, + "learning_rate": 1.0366368509452298e-05, + "loss": 0.5811, + "step": 5953 + }, + { + "epoch": 0.5, + "learning_rate": 1.0363625390808505e-05, + "loss": 0.8944, + "step": 5954 + }, + { + "epoch": 0.5, + "learning_rate": 1.0360882244766493e-05, + "loss": 0.9004, + "step": 5955 + }, + { + "epoch": 0.5, + "learning_rate": 1.0358139071532949e-05, + "loss": 0.5351, + "step": 5956 + }, + { + "epoch": 0.5, + "learning_rate": 1.0355395871314563e-05, + "loss": 0.914, + "step": 5957 + }, + { + "epoch": 0.5, + "learning_rate": 1.0352652644318033e-05, + "loss": 0.91, + "step": 5958 + }, + { + "epoch": 0.51, + "learning_rate": 1.0349909390750046e-05, + "loss": 0.8506, + "step": 5959 + }, + { + "epoch": 0.51, + "learning_rate": 1.0347166110817305e-05, + "loss": 0.9256, + "step": 5960 + }, + { + "epoch": 0.51, + "learning_rate": 1.0344422804726513e-05, + "loss": 0.89, + "step": 5961 + }, + { + "epoch": 0.51, + "learning_rate": 1.034167947268436e-05, + "loss": 0.9264, + "step": 5962 + }, + { + "epoch": 0.51, + "learning_rate": 1.0338936114897558e-05, + "loss": 0.8549, + "step": 5963 + }, + { + "epoch": 0.51, + "learning_rate": 1.0336192731572805e-05, + "loss": 0.9311, + "step": 5964 + }, + { + "epoch": 0.51, + "learning_rate": 1.0333449322916812e-05, + "loss": 0.9059, + "step": 5965 + }, + { + "epoch": 0.51, + "learning_rate": 1.0330705889136288e-05, + "loss": 0.9334, + "step": 5966 + }, + { + "epoch": 0.51, + "learning_rate": 1.0327962430437938e-05, + "loss": 0.8604, + "step": 5967 + }, + { + "epoch": 0.51, + "learning_rate": 1.0325218947028483e-05, + "loss": 0.9616, + "step": 5968 + }, + { + "epoch": 0.51, + "learning_rate": 1.032247543911463e-05, + "loss": 0.897, + "step": 5969 + }, + { + "epoch": 0.51, + "learning_rate": 1.0319731906903098e-05, + "loss": 0.8634, + "step": 5970 + }, + { + "epoch": 0.51, + "learning_rate": 1.0316988350600608e-05, + "loss": 0.9492, + "step": 5971 + }, + { + "epoch": 0.51, + "learning_rate": 1.0314244770413875e-05, + "loss": 0.9027, + "step": 5972 + }, + { + "epoch": 0.51, + "learning_rate": 1.0311501166549622e-05, + "loss": 0.8784, + "step": 5973 + }, + { + "epoch": 0.51, + "learning_rate": 1.0308757539214573e-05, + "loss": 0.868, + "step": 5974 + }, + { + "epoch": 0.51, + "learning_rate": 1.0306013888615451e-05, + "loss": 0.9261, + "step": 5975 + }, + { + "epoch": 0.51, + "learning_rate": 1.0303270214958988e-05, + "loss": 0.9409, + "step": 5976 + }, + { + "epoch": 0.51, + "learning_rate": 1.0300526518451906e-05, + "loss": 0.8906, + "step": 5977 + }, + { + "epoch": 0.51, + "learning_rate": 1.0297782799300939e-05, + "loss": 0.9074, + "step": 5978 + }, + { + "epoch": 0.51, + "learning_rate": 1.0295039057712819e-05, + "loss": 0.8954, + "step": 5979 + }, + { + "epoch": 0.51, + "learning_rate": 1.0292295293894279e-05, + "loss": 0.8543, + "step": 5980 + }, + { + "epoch": 0.51, + "learning_rate": 1.0289551508052054e-05, + "loss": 0.8912, + "step": 5981 + }, + { + "epoch": 0.51, + "learning_rate": 1.0286807700392884e-05, + "loss": 0.8934, + "step": 5982 + }, + { + "epoch": 0.51, + "learning_rate": 1.0284063871123504e-05, + "loss": 0.9107, + "step": 5983 + }, + { + "epoch": 0.51, + "learning_rate": 1.0281320020450657e-05, + "loss": 0.9253, + "step": 5984 + }, + { + "epoch": 0.51, + "learning_rate": 1.0278576148581083e-05, + "loss": 0.4727, + "step": 5985 + }, + { + "epoch": 0.51, + "learning_rate": 1.0275832255721527e-05, + "loss": 0.92, + "step": 5986 + }, + { + "epoch": 0.51, + "learning_rate": 1.0273088342078734e-05, + "loss": 0.8936, + "step": 5987 + }, + { + "epoch": 0.51, + "learning_rate": 1.027034440785945e-05, + "loss": 0.9086, + "step": 5988 + }, + { + "epoch": 0.51, + "learning_rate": 1.0267600453270422e-05, + "loss": 0.9016, + "step": 5989 + }, + { + "epoch": 0.51, + "learning_rate": 1.02648564785184e-05, + "loss": 0.8912, + "step": 5990 + }, + { + "epoch": 0.51, + "learning_rate": 1.0262112483810141e-05, + "loss": 0.8625, + "step": 5991 + }, + { + "epoch": 0.51, + "learning_rate": 1.025936846935239e-05, + "loss": 0.9536, + "step": 5992 + }, + { + "epoch": 0.51, + "learning_rate": 1.0256624435351909e-05, + "loss": 0.9049, + "step": 5993 + }, + { + "epoch": 0.51, + "learning_rate": 1.0253880382015446e-05, + "loss": 0.9591, + "step": 5994 + }, + { + "epoch": 0.51, + "learning_rate": 1.0251136309549764e-05, + "loss": 0.9245, + "step": 5995 + }, + { + "epoch": 0.51, + "learning_rate": 1.0248392218161616e-05, + "loss": 0.8644, + "step": 5996 + }, + { + "epoch": 0.51, + "learning_rate": 1.0245648108057767e-05, + "loss": 0.9022, + "step": 5997 + }, + { + "epoch": 0.51, + "learning_rate": 1.0242903979444976e-05, + "loss": 0.8957, + "step": 5998 + }, + { + "epoch": 0.51, + "learning_rate": 1.0240159832530007e-05, + "loss": 0.8679, + "step": 5999 + }, + { + "epoch": 0.51, + "learning_rate": 1.0237415667519626e-05, + "loss": 0.8834, + "step": 6000 + }, + { + "epoch": 0.51, + "learning_rate": 1.0234671484620595e-05, + "loss": 0.9459, + "step": 6001 + }, + { + "epoch": 0.51, + "learning_rate": 1.0231927284039685e-05, + "loss": 0.9198, + "step": 6002 + }, + { + "epoch": 0.51, + "learning_rate": 1.0229183065983659e-05, + "loss": 0.9313, + "step": 6003 + }, + { + "epoch": 0.51, + "learning_rate": 1.022643883065929e-05, + "loss": 0.5398, + "step": 6004 + }, + { + "epoch": 0.51, + "learning_rate": 1.022369457827335e-05, + "loss": 0.8798, + "step": 6005 + }, + { + "epoch": 0.51, + "learning_rate": 1.0220950309032611e-05, + "loss": 0.899, + "step": 6006 + }, + { + "epoch": 0.51, + "learning_rate": 1.0218206023143843e-05, + "loss": 0.5092, + "step": 6007 + }, + { + "epoch": 0.51, + "learning_rate": 1.0215461720813824e-05, + "loss": 0.8795, + "step": 6008 + }, + { + "epoch": 0.51, + "learning_rate": 1.021271740224933e-05, + "loss": 0.9095, + "step": 6009 + }, + { + "epoch": 0.51, + "learning_rate": 1.0209973067657138e-05, + "loss": 0.8814, + "step": 6010 + }, + { + "epoch": 0.51, + "learning_rate": 1.0207228717244023e-05, + "loss": 0.9164, + "step": 6011 + }, + { + "epoch": 0.51, + "learning_rate": 1.0204484351216768e-05, + "loss": 0.9053, + "step": 6012 + }, + { + "epoch": 0.51, + "learning_rate": 1.0201739969782154e-05, + "loss": 0.9138, + "step": 6013 + }, + { + "epoch": 0.51, + "learning_rate": 1.0198995573146964e-05, + "loss": 0.9016, + "step": 6014 + }, + { + "epoch": 0.51, + "learning_rate": 1.0196251161517975e-05, + "loss": 0.8904, + "step": 6015 + }, + { + "epoch": 0.51, + "learning_rate": 1.019350673510198e-05, + "loss": 0.9281, + "step": 6016 + }, + { + "epoch": 0.51, + "learning_rate": 1.0190762294105757e-05, + "loss": 0.8883, + "step": 6017 + }, + { + "epoch": 0.51, + "learning_rate": 1.0188017838736095e-05, + "loss": 0.8952, + "step": 6018 + }, + { + "epoch": 0.51, + "learning_rate": 1.0185273369199781e-05, + "loss": 0.9215, + "step": 6019 + }, + { + "epoch": 0.51, + "learning_rate": 1.0182528885703606e-05, + "loss": 0.8645, + "step": 6020 + }, + { + "epoch": 0.51, + "learning_rate": 1.0179784388454356e-05, + "loss": 0.8885, + "step": 6021 + }, + { + "epoch": 0.51, + "learning_rate": 1.0177039877658825e-05, + "loss": 0.8849, + "step": 6022 + }, + { + "epoch": 0.51, + "learning_rate": 1.0174295353523805e-05, + "loss": 0.9749, + "step": 6023 + }, + { + "epoch": 0.51, + "learning_rate": 1.0171550816256084e-05, + "loss": 0.8529, + "step": 6024 + }, + { + "epoch": 0.51, + "learning_rate": 1.0168806266062459e-05, + "loss": 0.9517, + "step": 6025 + }, + { + "epoch": 0.51, + "learning_rate": 1.0166061703149726e-05, + "loss": 0.8818, + "step": 6026 + }, + { + "epoch": 0.51, + "learning_rate": 1.0163317127724677e-05, + "loss": 0.9011, + "step": 6027 + }, + { + "epoch": 0.51, + "learning_rate": 1.0160572539994111e-05, + "loss": 0.9153, + "step": 6028 + }, + { + "epoch": 0.51, + "learning_rate": 1.0157827940164826e-05, + "loss": 0.9346, + "step": 6029 + }, + { + "epoch": 0.51, + "learning_rate": 1.0155083328443617e-05, + "loss": 0.8783, + "step": 6030 + }, + { + "epoch": 0.51, + "learning_rate": 1.0152338705037288e-05, + "loss": 0.8539, + "step": 6031 + }, + { + "epoch": 0.51, + "learning_rate": 1.0149594070152638e-05, + "loss": 0.878, + "step": 6032 + }, + { + "epoch": 0.51, + "learning_rate": 1.0146849423996463e-05, + "loss": 0.8729, + "step": 6033 + }, + { + "epoch": 0.51, + "learning_rate": 1.0144104766775574e-05, + "loss": 0.8846, + "step": 6034 + }, + { + "epoch": 0.51, + "learning_rate": 1.0141360098696767e-05, + "loss": 0.9015, + "step": 6035 + }, + { + "epoch": 0.51, + "learning_rate": 1.0138615419966844e-05, + "loss": 0.8552, + "step": 6036 + }, + { + "epoch": 0.51, + "learning_rate": 1.0135870730792614e-05, + "loss": 0.947, + "step": 6037 + }, + { + "epoch": 0.51, + "learning_rate": 1.0133126031380882e-05, + "loss": 0.9075, + "step": 6038 + }, + { + "epoch": 0.51, + "learning_rate": 1.0130381321938451e-05, + "loss": 0.927, + "step": 6039 + }, + { + "epoch": 0.51, + "learning_rate": 1.0127636602672129e-05, + "loss": 0.9367, + "step": 6040 + }, + { + "epoch": 0.51, + "learning_rate": 1.0124891873788725e-05, + "loss": 0.9216, + "step": 6041 + }, + { + "epoch": 0.51, + "learning_rate": 1.0122147135495044e-05, + "loss": 0.9313, + "step": 6042 + }, + { + "epoch": 0.51, + "learning_rate": 1.0119402387997896e-05, + "loss": 0.8972, + "step": 6043 + }, + { + "epoch": 0.51, + "learning_rate": 1.0116657631504094e-05, + "loss": 0.8653, + "step": 6044 + }, + { + "epoch": 0.51, + "learning_rate": 1.0113912866220443e-05, + "loss": 0.9084, + "step": 6045 + }, + { + "epoch": 0.51, + "learning_rate": 1.0111168092353755e-05, + "loss": 0.9032, + "step": 6046 + }, + { + "epoch": 0.51, + "learning_rate": 1.0108423310110847e-05, + "loss": 0.8754, + "step": 6047 + }, + { + "epoch": 0.51, + "learning_rate": 1.0105678519698524e-05, + "loss": 0.8729, + "step": 6048 + }, + { + "epoch": 0.51, + "learning_rate": 1.01029337213236e-05, + "loss": 0.8324, + "step": 6049 + }, + { + "epoch": 0.51, + "learning_rate": 1.0100188915192891e-05, + "loss": 0.8896, + "step": 6050 + }, + { + "epoch": 0.51, + "learning_rate": 1.009744410151321e-05, + "loss": 0.9343, + "step": 6051 + }, + { + "epoch": 0.51, + "learning_rate": 1.0094699280491371e-05, + "loss": 0.9456, + "step": 6052 + }, + { + "epoch": 0.51, + "learning_rate": 1.0091954452334191e-05, + "loss": 0.9061, + "step": 6053 + }, + { + "epoch": 0.51, + "learning_rate": 1.0089209617248483e-05, + "loss": 0.8798, + "step": 6054 + }, + { + "epoch": 0.51, + "learning_rate": 1.0086464775441064e-05, + "loss": 0.9315, + "step": 6055 + }, + { + "epoch": 0.51, + "learning_rate": 1.0083719927118754e-05, + "loss": 0.8658, + "step": 6056 + }, + { + "epoch": 0.51, + "learning_rate": 1.0080975072488364e-05, + "loss": 0.94, + "step": 6057 + }, + { + "epoch": 0.51, + "learning_rate": 1.0078230211756714e-05, + "loss": 0.8927, + "step": 6058 + }, + { + "epoch": 0.51, + "learning_rate": 1.0075485345130624e-05, + "loss": 0.8835, + "step": 6059 + }, + { + "epoch": 0.51, + "learning_rate": 1.007274047281691e-05, + "loss": 0.8669, + "step": 6060 + }, + { + "epoch": 0.51, + "learning_rate": 1.0069995595022393e-05, + "loss": 0.8679, + "step": 6061 + }, + { + "epoch": 0.51, + "learning_rate": 1.006725071195389e-05, + "loss": 0.899, + "step": 6062 + }, + { + "epoch": 0.51, + "learning_rate": 1.0064505823818222e-05, + "loss": 0.8759, + "step": 6063 + }, + { + "epoch": 0.51, + "learning_rate": 1.006176093082221e-05, + "loss": 0.8917, + "step": 6064 + }, + { + "epoch": 0.51, + "learning_rate": 1.0059016033172675e-05, + "loss": 0.8805, + "step": 6065 + }, + { + "epoch": 0.51, + "learning_rate": 1.0056271131076436e-05, + "loss": 0.9238, + "step": 6066 + }, + { + "epoch": 0.51, + "learning_rate": 1.0053526224740313e-05, + "loss": 0.8693, + "step": 6067 + }, + { + "epoch": 0.51, + "learning_rate": 1.0050781314371132e-05, + "loss": 0.8795, + "step": 6068 + }, + { + "epoch": 0.51, + "learning_rate": 1.004803640017571e-05, + "loss": 0.8863, + "step": 6069 + }, + { + "epoch": 0.51, + "learning_rate": 1.0045291482360871e-05, + "loss": 0.9333, + "step": 6070 + }, + { + "epoch": 0.51, + "learning_rate": 1.0042546561133439e-05, + "loss": 0.8839, + "step": 6071 + }, + { + "epoch": 0.51, + "learning_rate": 1.0039801636700234e-05, + "loss": 0.9111, + "step": 6072 + }, + { + "epoch": 0.51, + "learning_rate": 1.003705670926808e-05, + "loss": 0.8934, + "step": 6073 + }, + { + "epoch": 0.51, + "learning_rate": 1.0034311779043801e-05, + "loss": 0.8698, + "step": 6074 + }, + { + "epoch": 0.51, + "learning_rate": 1.003156684623422e-05, + "loss": 0.8802, + "step": 6075 + }, + { + "epoch": 0.51, + "learning_rate": 1.0028821911046158e-05, + "loss": 0.9492, + "step": 6076 + }, + { + "epoch": 0.52, + "learning_rate": 1.0026076973686443e-05, + "loss": 0.9132, + "step": 6077 + }, + { + "epoch": 0.52, + "learning_rate": 1.0023332034361894e-05, + "loss": 0.9114, + "step": 6078 + }, + { + "epoch": 0.52, + "learning_rate": 1.0020587093279339e-05, + "loss": 0.9334, + "step": 6079 + }, + { + "epoch": 0.52, + "learning_rate": 1.00178421506456e-05, + "loss": 0.9254, + "step": 6080 + }, + { + "epoch": 0.52, + "learning_rate": 1.0015097206667501e-05, + "loss": 0.9315, + "step": 6081 + }, + { + "epoch": 0.52, + "learning_rate": 1.0012352261551868e-05, + "loss": 0.8624, + "step": 6082 + }, + { + "epoch": 0.52, + "learning_rate": 1.0009607315505523e-05, + "loss": 0.9658, + "step": 6083 + }, + { + "epoch": 0.52, + "learning_rate": 1.0006862368735292e-05, + "loss": 0.9177, + "step": 6084 + }, + { + "epoch": 0.52, + "learning_rate": 1.0004117421448e-05, + "loss": 0.8756, + "step": 6085 + }, + { + "epoch": 0.52, + "learning_rate": 1.0001372473850472e-05, + "loss": 0.8567, + "step": 6086 + }, + { + "epoch": 0.52, + "learning_rate": 9.998627526149531e-06, + "loss": 0.8946, + "step": 6087 + }, + { + "epoch": 0.52, + "learning_rate": 9.995882578552002e-06, + "loss": 0.8775, + "step": 6088 + }, + { + "epoch": 0.52, + "learning_rate": 9.99313763126471e-06, + "loss": 0.8695, + "step": 6089 + }, + { + "epoch": 0.52, + "learning_rate": 9.99039268449448e-06, + "loss": 0.9, + "step": 6090 + }, + { + "epoch": 0.52, + "learning_rate": 9.987647738448134e-06, + "loss": 0.8594, + "step": 6091 + }, + { + "epoch": 0.52, + "learning_rate": 9.984902793332502e-06, + "loss": 0.9054, + "step": 6092 + }, + { + "epoch": 0.52, + "learning_rate": 9.982157849354405e-06, + "loss": 0.9, + "step": 6093 + }, + { + "epoch": 0.52, + "learning_rate": 9.982157849354405e-06, + "loss": 0.8465, + "step": 6094 + }, + { + "epoch": 0.52, + "learning_rate": 9.979412906720663e-06, + "loss": 0.9254, + "step": 6095 + }, + { + "epoch": 0.52, + "learning_rate": 9.976667965638111e-06, + "loss": 0.9485, + "step": 6096 + }, + { + "epoch": 0.52, + "learning_rate": 9.97392302631356e-06, + "loss": 0.9689, + "step": 6097 + }, + { + "epoch": 0.52, + "learning_rate": 9.971178088953845e-06, + "loss": 0.9346, + "step": 6098 + }, + { + "epoch": 0.52, + "learning_rate": 9.968433153765782e-06, + "loss": 0.9114, + "step": 6099 + }, + { + "epoch": 0.52, + "learning_rate": 9.965688220956202e-06, + "loss": 0.9382, + "step": 6100 + }, + { + "epoch": 0.52, + "learning_rate": 9.96294329073192e-06, + "loss": 0.8961, + "step": 6101 + }, + { + "epoch": 0.52, + "learning_rate": 9.96019836329977e-06, + "loss": 0.9227, + "step": 6102 + }, + { + "epoch": 0.52, + "learning_rate": 9.957453438866563e-06, + "loss": 0.9177, + "step": 6103 + }, + { + "epoch": 0.52, + "learning_rate": 9.95470851763913e-06, + "loss": 0.9208, + "step": 6104 + }, + { + "epoch": 0.52, + "learning_rate": 9.951963599824294e-06, + "loss": 0.887, + "step": 6105 + }, + { + "epoch": 0.52, + "learning_rate": 9.949218685628871e-06, + "loss": 0.8856, + "step": 6106 + }, + { + "epoch": 0.52, + "learning_rate": 9.94647377525969e-06, + "loss": 0.8956, + "step": 6107 + }, + { + "epoch": 0.52, + "learning_rate": 9.943728868923568e-06, + "loss": 0.8843, + "step": 6108 + }, + { + "epoch": 0.52, + "learning_rate": 9.940983966827328e-06, + "loss": 0.872, + "step": 6109 + }, + { + "epoch": 0.52, + "learning_rate": 9.938239069177792e-06, + "loss": 0.837, + "step": 6110 + }, + { + "epoch": 0.52, + "learning_rate": 9.935494176181781e-06, + "loss": 0.8946, + "step": 6111 + }, + { + "epoch": 0.52, + "learning_rate": 9.932749288046113e-06, + "loss": 0.8783, + "step": 6112 + }, + { + "epoch": 0.52, + "learning_rate": 9.93000440497761e-06, + "loss": 0.9159, + "step": 6113 + }, + { + "epoch": 0.52, + "learning_rate": 9.927259527183095e-06, + "loss": 0.9161, + "step": 6114 + }, + { + "epoch": 0.52, + "learning_rate": 9.924514654869379e-06, + "loss": 0.9147, + "step": 6115 + }, + { + "epoch": 0.52, + "learning_rate": 9.921769788243291e-06, + "loss": 0.9115, + "step": 6116 + }, + { + "epoch": 0.52, + "learning_rate": 9.91902492751164e-06, + "loss": 0.9427, + "step": 6117 + }, + { + "epoch": 0.52, + "learning_rate": 9.916280072881251e-06, + "loss": 0.5059, + "step": 6118 + }, + { + "epoch": 0.52, + "learning_rate": 9.913535224558936e-06, + "loss": 0.8606, + "step": 6119 + }, + { + "epoch": 0.52, + "learning_rate": 9.91079038275152e-06, + "loss": 0.9344, + "step": 6120 + }, + { + "epoch": 0.52, + "learning_rate": 9.908045547665809e-06, + "loss": 0.882, + "step": 6121 + }, + { + "epoch": 0.52, + "learning_rate": 9.90530071950863e-06, + "loss": 0.861, + "step": 6122 + }, + { + "epoch": 0.52, + "learning_rate": 9.90255589848679e-06, + "loss": 0.9402, + "step": 6123 + }, + { + "epoch": 0.52, + "learning_rate": 9.899811084807112e-06, + "loss": 0.911, + "step": 6124 + }, + { + "epoch": 0.52, + "learning_rate": 9.897066278676405e-06, + "loss": 0.9069, + "step": 6125 + }, + { + "epoch": 0.52, + "learning_rate": 9.894321480301481e-06, + "loss": 0.8631, + "step": 6126 + }, + { + "epoch": 0.52, + "learning_rate": 9.89157668988916e-06, + "loss": 0.9015, + "step": 6127 + }, + { + "epoch": 0.52, + "learning_rate": 9.888831907646246e-06, + "loss": 0.8231, + "step": 6128 + }, + { + "epoch": 0.52, + "learning_rate": 9.88608713377956e-06, + "loss": 0.8905, + "step": 6129 + }, + { + "epoch": 0.52, + "learning_rate": 9.88334236849591e-06, + "loss": 0.9178, + "step": 6130 + }, + { + "epoch": 0.52, + "learning_rate": 9.880597612002106e-06, + "loss": 0.929, + "step": 6131 + }, + { + "epoch": 0.52, + "learning_rate": 9.87785286450496e-06, + "loss": 0.8784, + "step": 6132 + }, + { + "epoch": 0.52, + "learning_rate": 9.875108126211279e-06, + "loss": 0.8909, + "step": 6133 + }, + { + "epoch": 0.52, + "learning_rate": 9.872363397327873e-06, + "loss": 0.8936, + "step": 6134 + }, + { + "epoch": 0.52, + "learning_rate": 9.869618678061552e-06, + "loss": 0.9433, + "step": 6135 + }, + { + "epoch": 0.52, + "learning_rate": 9.866873968619123e-06, + "loss": 0.9187, + "step": 6136 + }, + { + "epoch": 0.52, + "learning_rate": 9.864129269207388e-06, + "loss": 0.8963, + "step": 6137 + }, + { + "epoch": 0.52, + "learning_rate": 9.86138458003316e-06, + "loss": 0.9101, + "step": 6138 + }, + { + "epoch": 0.52, + "learning_rate": 9.858639901303237e-06, + "loss": 0.8998, + "step": 6139 + }, + { + "epoch": 0.52, + "learning_rate": 9.855895233224431e-06, + "loss": 0.8911, + "step": 6140 + }, + { + "epoch": 0.52, + "learning_rate": 9.853150576003537e-06, + "loss": 0.9386, + "step": 6141 + }, + { + "epoch": 0.52, + "learning_rate": 9.850405929847367e-06, + "loss": 0.8668, + "step": 6142 + }, + { + "epoch": 0.52, + "learning_rate": 9.847661294962712e-06, + "loss": 0.8685, + "step": 6143 + }, + { + "epoch": 0.52, + "learning_rate": 9.844916671556384e-06, + "loss": 0.902, + "step": 6144 + }, + { + "epoch": 0.52, + "learning_rate": 9.842172059835175e-06, + "loss": 0.9193, + "step": 6145 + }, + { + "epoch": 0.52, + "learning_rate": 9.839427460005892e-06, + "loss": 0.8603, + "step": 6146 + }, + { + "epoch": 0.52, + "learning_rate": 9.836682872275328e-06, + "loss": 0.9421, + "step": 6147 + }, + { + "epoch": 0.52, + "learning_rate": 9.833938296850279e-06, + "loss": 0.8536, + "step": 6148 + }, + { + "epoch": 0.52, + "learning_rate": 9.831193733937546e-06, + "loss": 0.9063, + "step": 6149 + }, + { + "epoch": 0.52, + "learning_rate": 9.82844918374392e-06, + "loss": 0.8937, + "step": 6150 + }, + { + "epoch": 0.52, + "learning_rate": 9.8257046464762e-06, + "loss": 0.8659, + "step": 6151 + }, + { + "epoch": 0.52, + "learning_rate": 9.822960122341178e-06, + "loss": 0.9107, + "step": 6152 + }, + { + "epoch": 0.52, + "learning_rate": 9.820215611545645e-06, + "loss": 0.9363, + "step": 6153 + }, + { + "epoch": 0.52, + "learning_rate": 9.817471114296398e-06, + "loss": 0.8773, + "step": 6154 + }, + { + "epoch": 0.52, + "learning_rate": 9.81472663080022e-06, + "loss": 0.8961, + "step": 6155 + }, + { + "epoch": 0.52, + "learning_rate": 9.81198216126391e-06, + "loss": 0.9188, + "step": 6156 + }, + { + "epoch": 0.52, + "learning_rate": 9.809237705894246e-06, + "loss": 0.8572, + "step": 6157 + }, + { + "epoch": 0.52, + "learning_rate": 9.806493264898025e-06, + "loss": 0.8381, + "step": 6158 + }, + { + "epoch": 0.52, + "learning_rate": 9.803748838482026e-06, + "loss": 0.9032, + "step": 6159 + }, + { + "epoch": 0.52, + "learning_rate": 9.80100442685304e-06, + "loss": 0.9019, + "step": 6160 + }, + { + "epoch": 0.52, + "learning_rate": 9.798260030217846e-06, + "loss": 0.9023, + "step": 6161 + }, + { + "epoch": 0.52, + "learning_rate": 9.795515648783235e-06, + "loss": 0.8676, + "step": 6162 + }, + { + "epoch": 0.52, + "learning_rate": 9.792771282755979e-06, + "loss": 0.9076, + "step": 6163 + }, + { + "epoch": 0.52, + "learning_rate": 9.790026932342867e-06, + "loss": 0.9017, + "step": 6164 + }, + { + "epoch": 0.52, + "learning_rate": 9.78728259775067e-06, + "loss": 0.9143, + "step": 6165 + }, + { + "epoch": 0.52, + "learning_rate": 9.784538279186178e-06, + "loss": 0.8848, + "step": 6166 + }, + { + "epoch": 0.52, + "learning_rate": 9.781793976856162e-06, + "loss": 0.8898, + "step": 6167 + }, + { + "epoch": 0.52, + "learning_rate": 9.779049690967392e-06, + "loss": 0.9329, + "step": 6168 + }, + { + "epoch": 0.52, + "learning_rate": 9.776305421726654e-06, + "loss": 0.915, + "step": 6169 + }, + { + "epoch": 0.52, + "learning_rate": 9.773561169340711e-06, + "loss": 0.872, + "step": 6170 + }, + { + "epoch": 0.52, + "learning_rate": 9.770816934016346e-06, + "loss": 0.9039, + "step": 6171 + }, + { + "epoch": 0.52, + "learning_rate": 9.768072715960318e-06, + "loss": 0.9136, + "step": 6172 + }, + { + "epoch": 0.52, + "learning_rate": 9.765328515379407e-06, + "loss": 0.9085, + "step": 6173 + }, + { + "epoch": 0.52, + "learning_rate": 9.762584332480378e-06, + "loss": 0.8635, + "step": 6174 + }, + { + "epoch": 0.52, + "learning_rate": 9.759840167469995e-06, + "loss": 0.9255, + "step": 6175 + }, + { + "epoch": 0.52, + "learning_rate": 9.757096020555026e-06, + "loss": 0.9158, + "step": 6176 + }, + { + "epoch": 0.52, + "learning_rate": 9.754351891942236e-06, + "loss": 0.9279, + "step": 6177 + }, + { + "epoch": 0.52, + "learning_rate": 9.751607781838389e-06, + "loss": 0.969, + "step": 6178 + }, + { + "epoch": 0.52, + "learning_rate": 9.74886369045024e-06, + "loss": 0.8959, + "step": 6179 + }, + { + "epoch": 0.52, + "learning_rate": 9.746119617984559e-06, + "loss": 0.9182, + "step": 6180 + }, + { + "epoch": 0.52, + "learning_rate": 9.743375564648092e-06, + "loss": 0.9229, + "step": 6181 + }, + { + "epoch": 0.52, + "learning_rate": 9.740631530647611e-06, + "loss": 0.9114, + "step": 6182 + }, + { + "epoch": 0.52, + "learning_rate": 9.73788751618986e-06, + "loss": 0.8696, + "step": 6183 + }, + { + "epoch": 0.52, + "learning_rate": 9.735143521481601e-06, + "loss": 0.5304, + "step": 6184 + }, + { + "epoch": 0.52, + "learning_rate": 9.732399546729578e-06, + "loss": 0.9456, + "step": 6185 + }, + { + "epoch": 0.52, + "learning_rate": 9.729655592140555e-06, + "loss": 0.8579, + "step": 6186 + }, + { + "epoch": 0.52, + "learning_rate": 9.726911657921268e-06, + "loss": 0.8835, + "step": 6187 + }, + { + "epoch": 0.52, + "learning_rate": 9.724167744278475e-06, + "loss": 0.9313, + "step": 6188 + }, + { + "epoch": 0.52, + "learning_rate": 9.721423851418922e-06, + "loss": 0.9427, + "step": 6189 + }, + { + "epoch": 0.52, + "learning_rate": 9.718679979549346e-06, + "loss": 0.9163, + "step": 6190 + }, + { + "epoch": 0.52, + "learning_rate": 9.715936128876501e-06, + "loss": 0.8808, + "step": 6191 + }, + { + "epoch": 0.52, + "learning_rate": 9.713192299607119e-06, + "loss": 0.8622, + "step": 6192 + }, + { + "epoch": 0.52, + "learning_rate": 9.710448491947951e-06, + "loss": 0.8756, + "step": 6193 + }, + { + "epoch": 0.52, + "learning_rate": 9.707704706105724e-06, + "loss": 0.9184, + "step": 6194 + }, + { + "epoch": 0.53, + "learning_rate": 9.704960942287184e-06, + "loss": 0.8621, + "step": 6195 + }, + { + "epoch": 0.53, + "learning_rate": 9.702217200699065e-06, + "loss": 0.8629, + "step": 6196 + }, + { + "epoch": 0.53, + "learning_rate": 9.699473481548097e-06, + "loss": 0.8756, + "step": 6197 + }, + { + "epoch": 0.53, + "learning_rate": 9.696729785041019e-06, + "loss": 0.9433, + "step": 6198 + }, + { + "epoch": 0.53, + "learning_rate": 9.693986111384552e-06, + "loss": 0.9006, + "step": 6199 + }, + { + "epoch": 0.53, + "learning_rate": 9.691242460785433e-06, + "loss": 0.9019, + "step": 6200 + }, + { + "epoch": 0.53, + "learning_rate": 9.688498833450381e-06, + "loss": 0.8941, + "step": 6201 + }, + { + "epoch": 0.53, + "learning_rate": 9.685755229586129e-06, + "loss": 0.926, + "step": 6202 + }, + { + "epoch": 0.53, + "learning_rate": 9.683011649399393e-06, + "loss": 0.9137, + "step": 6203 + }, + { + "epoch": 0.53, + "learning_rate": 9.680268093096904e-06, + "loss": 0.8896, + "step": 6204 + }, + { + "epoch": 0.53, + "learning_rate": 9.67752456088537e-06, + "loss": 0.8628, + "step": 6205 + }, + { + "epoch": 0.53, + "learning_rate": 9.67478105297152e-06, + "loss": 0.9319, + "step": 6206 + }, + { + "epoch": 0.53, + "learning_rate": 9.672037569562062e-06, + "loss": 0.893, + "step": 6207 + }, + { + "epoch": 0.53, + "learning_rate": 9.669294110863717e-06, + "loss": 0.9099, + "step": 6208 + }, + { + "epoch": 0.53, + "learning_rate": 9.666550677083193e-06, + "loss": 0.8877, + "step": 6209 + }, + { + "epoch": 0.53, + "learning_rate": 9.663807268427197e-06, + "loss": 0.9055, + "step": 6210 + }, + { + "epoch": 0.53, + "learning_rate": 9.661063885102447e-06, + "loss": 0.9017, + "step": 6211 + }, + { + "epoch": 0.53, + "learning_rate": 9.658320527315642e-06, + "loss": 0.9172, + "step": 6212 + }, + { + "epoch": 0.53, + "learning_rate": 9.655577195273492e-06, + "loss": 0.904, + "step": 6213 + }, + { + "epoch": 0.53, + "learning_rate": 9.652833889182695e-06, + "loss": 0.8784, + "step": 6214 + }, + { + "epoch": 0.53, + "learning_rate": 9.650090609249957e-06, + "loss": 0.8969, + "step": 6215 + }, + { + "epoch": 0.53, + "learning_rate": 9.64734735568197e-06, + "loss": 0.5931, + "step": 6216 + }, + { + "epoch": 0.53, + "learning_rate": 9.644604128685438e-06, + "loss": 0.8923, + "step": 6217 + }, + { + "epoch": 0.53, + "learning_rate": 9.641860928467054e-06, + "loss": 0.9398, + "step": 6218 + }, + { + "epoch": 0.53, + "learning_rate": 9.63911775523351e-06, + "loss": 0.9101, + "step": 6219 + }, + { + "epoch": 0.53, + "learning_rate": 9.6363746091915e-06, + "loss": 0.8815, + "step": 6220 + }, + { + "epoch": 0.53, + "learning_rate": 9.633631490547705e-06, + "loss": 0.8735, + "step": 6221 + }, + { + "epoch": 0.53, + "learning_rate": 9.63088839950882e-06, + "loss": 0.8746, + "step": 6222 + }, + { + "epoch": 0.53, + "learning_rate": 9.628145336281524e-06, + "loss": 0.912, + "step": 6223 + }, + { + "epoch": 0.53, + "learning_rate": 9.625402301072508e-06, + "loss": 0.884, + "step": 6224 + }, + { + "epoch": 0.53, + "learning_rate": 9.62265929408844e-06, + "loss": 0.8645, + "step": 6225 + }, + { + "epoch": 0.53, + "learning_rate": 9.61991631553601e-06, + "loss": 0.5233, + "step": 6226 + }, + { + "epoch": 0.53, + "learning_rate": 9.617173365621885e-06, + "loss": 0.8633, + "step": 6227 + }, + { + "epoch": 0.53, + "learning_rate": 9.614430444552746e-06, + "loss": 0.9161, + "step": 6228 + }, + { + "epoch": 0.53, + "learning_rate": 9.61168755253526e-06, + "loss": 0.917, + "step": 6229 + }, + { + "epoch": 0.53, + "learning_rate": 9.608944689776104e-06, + "loss": 0.8664, + "step": 6230 + }, + { + "epoch": 0.53, + "learning_rate": 9.60620185648194e-06, + "loss": 0.8552, + "step": 6231 + }, + { + "epoch": 0.53, + "learning_rate": 9.603459052859428e-06, + "loss": 0.8766, + "step": 6232 + }, + { + "epoch": 0.53, + "learning_rate": 9.600716279115244e-06, + "loss": 0.6077, + "step": 6233 + }, + { + "epoch": 0.53, + "learning_rate": 9.597973535456036e-06, + "loss": 0.8715, + "step": 6234 + }, + { + "epoch": 0.53, + "learning_rate": 9.595230822088472e-06, + "loss": 0.9059, + "step": 6235 + }, + { + "epoch": 0.53, + "learning_rate": 9.5924881392192e-06, + "loss": 0.9261, + "step": 6236 + }, + { + "epoch": 0.53, + "learning_rate": 9.589745487054884e-06, + "loss": 0.856, + "step": 6237 + }, + { + "epoch": 0.53, + "learning_rate": 9.587002865802166e-06, + "loss": 0.8793, + "step": 6238 + }, + { + "epoch": 0.53, + "learning_rate": 9.584260275667702e-06, + "loss": 0.8615, + "step": 6239 + }, + { + "epoch": 0.53, + "learning_rate": 9.581517716858137e-06, + "loss": 0.9255, + "step": 6240 + }, + { + "epoch": 0.53, + "learning_rate": 9.578775189580113e-06, + "loss": 0.9236, + "step": 6241 + }, + { + "epoch": 0.53, + "learning_rate": 9.576032694040278e-06, + "loss": 0.9182, + "step": 6242 + }, + { + "epoch": 0.53, + "learning_rate": 9.573290230445262e-06, + "loss": 0.9057, + "step": 6243 + }, + { + "epoch": 0.53, + "learning_rate": 9.570547799001715e-06, + "loss": 0.8626, + "step": 6244 + }, + { + "epoch": 0.53, + "learning_rate": 9.56780539991626e-06, + "loss": 0.898, + "step": 6245 + }, + { + "epoch": 0.53, + "learning_rate": 9.56506303339554e-06, + "loss": 0.8837, + "step": 6246 + }, + { + "epoch": 0.53, + "learning_rate": 9.562320699646177e-06, + "loss": 0.465, + "step": 6247 + }, + { + "epoch": 0.53, + "learning_rate": 9.559578398874805e-06, + "loss": 0.8691, + "step": 6248 + }, + { + "epoch": 0.53, + "learning_rate": 9.556836131288043e-06, + "loss": 0.8764, + "step": 6249 + }, + { + "epoch": 0.53, + "learning_rate": 9.55409389709252e-06, + "loss": 0.9064, + "step": 6250 + }, + { + "epoch": 0.53, + "learning_rate": 9.551351696494854e-06, + "loss": 0.8783, + "step": 6251 + }, + { + "epoch": 0.53, + "learning_rate": 9.548609529701657e-06, + "loss": 0.8816, + "step": 6252 + }, + { + "epoch": 0.53, + "learning_rate": 9.545867396919554e-06, + "loss": 0.9174, + "step": 6253 + }, + { + "epoch": 0.53, + "learning_rate": 9.543125298355147e-06, + "loss": 0.536, + "step": 6254 + }, + { + "epoch": 0.53, + "learning_rate": 9.540383234215057e-06, + "loss": 0.9143, + "step": 6255 + }, + { + "epoch": 0.53, + "learning_rate": 9.537641204705878e-06, + "loss": 0.8863, + "step": 6256 + }, + { + "epoch": 0.53, + "learning_rate": 9.53489921003423e-06, + "loss": 0.9302, + "step": 6257 + }, + { + "epoch": 0.53, + "learning_rate": 9.532157250406701e-06, + "loss": 0.8985, + "step": 6258 + }, + { + "epoch": 0.53, + "learning_rate": 9.529415326029902e-06, + "loss": 0.9062, + "step": 6259 + }, + { + "epoch": 0.53, + "learning_rate": 9.52667343711042e-06, + "loss": 0.8402, + "step": 6260 + }, + { + "epoch": 0.53, + "learning_rate": 9.523931583854856e-06, + "loss": 0.9418, + "step": 6261 + }, + { + "epoch": 0.53, + "learning_rate": 9.521189766469802e-06, + "loss": 0.8885, + "step": 6262 + }, + { + "epoch": 0.53, + "learning_rate": 9.51844798516184e-06, + "loss": 0.9017, + "step": 6263 + }, + { + "epoch": 0.53, + "learning_rate": 9.515706240137563e-06, + "loss": 0.8898, + "step": 6264 + }, + { + "epoch": 0.53, + "learning_rate": 9.512964531603548e-06, + "loss": 0.8756, + "step": 6265 + }, + { + "epoch": 0.53, + "learning_rate": 9.510222859766383e-06, + "loss": 0.8845, + "step": 6266 + }, + { + "epoch": 0.53, + "learning_rate": 9.507481224832637e-06, + "loss": 0.9251, + "step": 6267 + }, + { + "epoch": 0.53, + "learning_rate": 9.504739627008894e-06, + "loss": 0.9047, + "step": 6268 + }, + { + "epoch": 0.53, + "learning_rate": 9.501998066501718e-06, + "loss": 0.8997, + "step": 6269 + }, + { + "epoch": 0.53, + "learning_rate": 9.499256543517688e-06, + "loss": 0.9141, + "step": 6270 + }, + { + "epoch": 0.53, + "learning_rate": 9.496515058263358e-06, + "loss": 0.9242, + "step": 6271 + }, + { + "epoch": 0.53, + "learning_rate": 9.493773610945305e-06, + "loss": 0.9115, + "step": 6272 + }, + { + "epoch": 0.53, + "learning_rate": 9.491032201770082e-06, + "loss": 0.9039, + "step": 6273 + }, + { + "epoch": 0.53, + "learning_rate": 9.488290830944247e-06, + "loss": 0.8778, + "step": 6274 + }, + { + "epoch": 0.53, + "learning_rate": 9.485549498674357e-06, + "loss": 0.8645, + "step": 6275 + }, + { + "epoch": 0.53, + "learning_rate": 9.482808205166962e-06, + "loss": 0.886, + "step": 6276 + }, + { + "epoch": 0.53, + "learning_rate": 9.480066950628619e-06, + "loss": 0.9098, + "step": 6277 + }, + { + "epoch": 0.53, + "learning_rate": 9.47732573526586e-06, + "loss": 0.8562, + "step": 6278 + }, + { + "epoch": 0.53, + "learning_rate": 9.474584559285244e-06, + "loss": 0.9459, + "step": 6279 + }, + { + "epoch": 0.53, + "learning_rate": 9.471843422893299e-06, + "loss": 0.8966, + "step": 6280 + }, + { + "epoch": 0.53, + "learning_rate": 9.46910232629657e-06, + "loss": 0.8854, + "step": 6281 + }, + { + "epoch": 0.53, + "learning_rate": 9.46636126970159e-06, + "loss": 0.8805, + "step": 6282 + }, + { + "epoch": 0.53, + "learning_rate": 9.463620253314886e-06, + "loss": 0.9071, + "step": 6283 + }, + { + "epoch": 0.53, + "learning_rate": 9.460879277342995e-06, + "loss": 0.8617, + "step": 6284 + }, + { + "epoch": 0.53, + "learning_rate": 9.458138341992433e-06, + "loss": 0.8949, + "step": 6285 + }, + { + "epoch": 0.53, + "learning_rate": 9.455397447469731e-06, + "loss": 0.8953, + "step": 6286 + }, + { + "epoch": 0.53, + "learning_rate": 9.452656593981398e-06, + "loss": 0.8699, + "step": 6287 + }, + { + "epoch": 0.53, + "learning_rate": 9.449915781733961e-06, + "loss": 0.9029, + "step": 6288 + }, + { + "epoch": 0.53, + "learning_rate": 9.447175010933925e-06, + "loss": 0.9376, + "step": 6289 + }, + { + "epoch": 0.53, + "learning_rate": 9.444434281787806e-06, + "loss": 0.9016, + "step": 6290 + }, + { + "epoch": 0.53, + "learning_rate": 9.441693594502104e-06, + "loss": 0.8601, + "step": 6291 + }, + { + "epoch": 0.53, + "learning_rate": 9.43895294928333e-06, + "loss": 0.8494, + "step": 6292 + }, + { + "epoch": 0.53, + "learning_rate": 9.436212346337981e-06, + "loss": 0.918, + "step": 6293 + }, + { + "epoch": 0.53, + "learning_rate": 9.433471785872548e-06, + "loss": 0.8758, + "step": 6294 + }, + { + "epoch": 0.53, + "learning_rate": 9.430731268093537e-06, + "loss": 0.9685, + "step": 6295 + }, + { + "epoch": 0.53, + "learning_rate": 9.427990793207428e-06, + "loss": 0.5764, + "step": 6296 + }, + { + "epoch": 0.53, + "learning_rate": 9.425250361420718e-06, + "loss": 0.9172, + "step": 6297 + }, + { + "epoch": 0.53, + "learning_rate": 9.422509972939881e-06, + "loss": 0.5064, + "step": 6298 + }, + { + "epoch": 0.53, + "learning_rate": 9.41976962797141e-06, + "loss": 0.8845, + "step": 6299 + }, + { + "epoch": 0.53, + "learning_rate": 9.41702932672177e-06, + "loss": 0.8893, + "step": 6300 + }, + { + "epoch": 0.53, + "learning_rate": 9.41428906939745e-06, + "loss": 0.9128, + "step": 6301 + }, + { + "epoch": 0.53, + "learning_rate": 9.411548856204907e-06, + "loss": 0.9045, + "step": 6302 + }, + { + "epoch": 0.53, + "learning_rate": 9.40880868735062e-06, + "loss": 0.8853, + "step": 6303 + }, + { + "epoch": 0.53, + "learning_rate": 9.406068563041047e-06, + "loss": 0.8627, + "step": 6304 + }, + { + "epoch": 0.53, + "learning_rate": 9.403328483482647e-06, + "loss": 0.8954, + "step": 6305 + }, + { + "epoch": 0.53, + "learning_rate": 9.400588448881888e-06, + "loss": 0.8958, + "step": 6306 + }, + { + "epoch": 0.53, + "learning_rate": 9.397848459445212e-06, + "loss": 0.901, + "step": 6307 + }, + { + "epoch": 0.53, + "learning_rate": 9.395108515379082e-06, + "loss": 0.9036, + "step": 6308 + }, + { + "epoch": 0.53, + "learning_rate": 9.392368616889936e-06, + "loss": 0.5158, + "step": 6309 + }, + { + "epoch": 0.53, + "learning_rate": 9.389628764184225e-06, + "loss": 0.9003, + "step": 6310 + }, + { + "epoch": 0.53, + "learning_rate": 9.386888957468383e-06, + "loss": 0.8762, + "step": 6311 + }, + { + "epoch": 0.53, + "learning_rate": 9.384149196948855e-06, + "loss": 0.9471, + "step": 6312 + }, + { + "epoch": 0.54, + "learning_rate": 9.381409482832068e-06, + "loss": 0.9506, + "step": 6313 + }, + { + "epoch": 0.54, + "learning_rate": 9.378669815324456e-06, + "loss": 0.9135, + "step": 6314 + }, + { + "epoch": 0.54, + "learning_rate": 9.375930194632447e-06, + "loss": 0.8935, + "step": 6315 + }, + { + "epoch": 0.54, + "learning_rate": 9.373190620962459e-06, + "loss": 0.8636, + "step": 6316 + }, + { + "epoch": 0.54, + "learning_rate": 9.370451094520915e-06, + "loss": 0.9301, + "step": 6317 + }, + { + "epoch": 0.54, + "learning_rate": 9.36771161551423e-06, + "loss": 0.8771, + "step": 6318 + }, + { + "epoch": 0.54, + "learning_rate": 9.364972184148821e-06, + "loss": 0.9044, + "step": 6319 + }, + { + "epoch": 0.54, + "learning_rate": 9.362232800631087e-06, + "loss": 0.8845, + "step": 6320 + }, + { + "epoch": 0.54, + "learning_rate": 9.359493465167447e-06, + "loss": 0.8955, + "step": 6321 + }, + { + "epoch": 0.54, + "learning_rate": 9.35675417796429e-06, + "loss": 0.8887, + "step": 6322 + }, + { + "epoch": 0.54, + "learning_rate": 9.354014939228024e-06, + "loss": 0.8586, + "step": 6323 + }, + { + "epoch": 0.54, + "learning_rate": 9.351275749165037e-06, + "loss": 0.8735, + "step": 6324 + }, + { + "epoch": 0.54, + "learning_rate": 9.348536607981722e-06, + "loss": 0.864, + "step": 6325 + }, + { + "epoch": 0.54, + "learning_rate": 9.345797515884466e-06, + "loss": 0.9393, + "step": 6326 + }, + { + "epoch": 0.54, + "learning_rate": 9.34305847307965e-06, + "loss": 0.9261, + "step": 6327 + }, + { + "epoch": 0.54, + "learning_rate": 9.34031947977366e-06, + "loss": 0.8799, + "step": 6328 + }, + { + "epoch": 0.54, + "learning_rate": 9.337580536172864e-06, + "loss": 0.8842, + "step": 6329 + }, + { + "epoch": 0.54, + "learning_rate": 9.334841642483643e-06, + "loss": 0.9374, + "step": 6330 + }, + { + "epoch": 0.54, + "learning_rate": 9.332102798912357e-06, + "loss": 0.8893, + "step": 6331 + }, + { + "epoch": 0.54, + "learning_rate": 9.329364005665377e-06, + "loss": 0.8829, + "step": 6332 + }, + { + "epoch": 0.54, + "learning_rate": 9.326625262949059e-06, + "loss": 0.9572, + "step": 6333 + }, + { + "epoch": 0.54, + "learning_rate": 9.323886570969764e-06, + "loss": 0.9013, + "step": 6334 + }, + { + "epoch": 0.54, + "learning_rate": 9.321147929933847e-06, + "loss": 0.8461, + "step": 6335 + }, + { + "epoch": 0.54, + "learning_rate": 9.318409340047646e-06, + "loss": 0.8942, + "step": 6336 + }, + { + "epoch": 0.54, + "learning_rate": 9.315670801517523e-06, + "loss": 0.9008, + "step": 6337 + }, + { + "epoch": 0.54, + "learning_rate": 9.312932314549804e-06, + "loss": 0.8626, + "step": 6338 + }, + { + "epoch": 0.54, + "learning_rate": 9.310193879350839e-06, + "loss": 0.8652, + "step": 6339 + }, + { + "epoch": 0.54, + "learning_rate": 9.307455496126954e-06, + "loss": 0.9184, + "step": 6340 + }, + { + "epoch": 0.54, + "learning_rate": 9.304717165084486e-06, + "loss": 0.5934, + "step": 6341 + }, + { + "epoch": 0.54, + "learning_rate": 9.301978886429752e-06, + "loss": 0.9075, + "step": 6342 + }, + { + "epoch": 0.54, + "learning_rate": 9.299240660369085e-06, + "loss": 0.8898, + "step": 6343 + }, + { + "epoch": 0.54, + "learning_rate": 9.296502487108792e-06, + "loss": 0.9158, + "step": 6344 + }, + { + "epoch": 0.54, + "learning_rate": 9.293764366855196e-06, + "loss": 0.9169, + "step": 6345 + }, + { + "epoch": 0.54, + "learning_rate": 9.291026299814602e-06, + "loss": 0.8206, + "step": 6346 + }, + { + "epoch": 0.54, + "learning_rate": 9.28828828619332e-06, + "loss": 0.9027, + "step": 6347 + }, + { + "epoch": 0.54, + "learning_rate": 9.28555032619765e-06, + "loss": 0.9386, + "step": 6348 + }, + { + "epoch": 0.54, + "learning_rate": 9.282812420033886e-06, + "loss": 0.9155, + "step": 6349 + }, + { + "epoch": 0.54, + "learning_rate": 9.28007456790833e-06, + "loss": 0.9051, + "step": 6350 + }, + { + "epoch": 0.54, + "learning_rate": 9.277336770027266e-06, + "loss": 0.9156, + "step": 6351 + }, + { + "epoch": 0.54, + "learning_rate": 9.274599026596987e-06, + "loss": 0.8722, + "step": 6352 + }, + { + "epoch": 0.54, + "learning_rate": 9.271861337823763e-06, + "loss": 0.896, + "step": 6353 + }, + { + "epoch": 0.54, + "learning_rate": 9.269123703913885e-06, + "loss": 0.916, + "step": 6354 + }, + { + "epoch": 0.54, + "learning_rate": 9.266386125073613e-06, + "loss": 0.9016, + "step": 6355 + }, + { + "epoch": 0.54, + "learning_rate": 9.263648601509231e-06, + "loss": 0.9495, + "step": 6356 + }, + { + "epoch": 0.54, + "learning_rate": 9.260911133426996e-06, + "loss": 0.8777, + "step": 6357 + }, + { + "epoch": 0.54, + "learning_rate": 9.258173721033166e-06, + "loss": 0.8484, + "step": 6358 + }, + { + "epoch": 0.54, + "learning_rate": 9.255436364534005e-06, + "loss": 0.8909, + "step": 6359 + }, + { + "epoch": 0.54, + "learning_rate": 9.252699064135759e-06, + "loss": 0.9103, + "step": 6360 + }, + { + "epoch": 0.54, + "learning_rate": 9.249961820044683e-06, + "loss": 0.8851, + "step": 6361 + }, + { + "epoch": 0.54, + "learning_rate": 9.247224632467014e-06, + "loss": 0.9554, + "step": 6362 + }, + { + "epoch": 0.54, + "learning_rate": 9.244487501608999e-06, + "loss": 0.8316, + "step": 6363 + }, + { + "epoch": 0.54, + "learning_rate": 9.241750427676866e-06, + "loss": 0.8223, + "step": 6364 + }, + { + "epoch": 0.54, + "learning_rate": 9.239013410876856e-06, + "loss": 0.8726, + "step": 6365 + }, + { + "epoch": 0.54, + "learning_rate": 9.236276451415189e-06, + "loss": 0.9158, + "step": 6366 + }, + { + "epoch": 0.54, + "learning_rate": 9.23353954949809e-06, + "loss": 0.8559, + "step": 6367 + }, + { + "epoch": 0.54, + "learning_rate": 9.230802705331776e-06, + "loss": 0.8355, + "step": 6368 + }, + { + "epoch": 0.54, + "learning_rate": 9.228065919122463e-06, + "loss": 0.8904, + "step": 6369 + }, + { + "epoch": 0.54, + "learning_rate": 9.225329191076358e-06, + "loss": 0.8791, + "step": 6370 + }, + { + "epoch": 0.54, + "learning_rate": 9.222592521399666e-06, + "loss": 0.892, + "step": 6371 + }, + { + "epoch": 0.54, + "learning_rate": 9.219855910298593e-06, + "loss": 0.9594, + "step": 6372 + }, + { + "epoch": 0.54, + "learning_rate": 9.217119357979331e-06, + "loss": 0.9185, + "step": 6373 + }, + { + "epoch": 0.54, + "learning_rate": 9.214382864648075e-06, + "loss": 0.8384, + "step": 6374 + }, + { + "epoch": 0.54, + "learning_rate": 9.211646430511008e-06, + "loss": 0.8697, + "step": 6375 + }, + { + "epoch": 0.54, + "learning_rate": 9.208910055774321e-06, + "loss": 0.8819, + "step": 6376 + }, + { + "epoch": 0.54, + "learning_rate": 9.206173740644186e-06, + "loss": 0.9477, + "step": 6377 + }, + { + "epoch": 0.54, + "learning_rate": 9.203437485326775e-06, + "loss": 0.8867, + "step": 6378 + }, + { + "epoch": 0.54, + "learning_rate": 9.200701290028265e-06, + "loss": 0.9066, + "step": 6379 + }, + { + "epoch": 0.54, + "learning_rate": 9.197965154954815e-06, + "loss": 0.9288, + "step": 6380 + }, + { + "epoch": 0.54, + "learning_rate": 9.195229080312592e-06, + "loss": 0.8761, + "step": 6381 + }, + { + "epoch": 0.54, + "learning_rate": 9.192493066307745e-06, + "loss": 0.8816, + "step": 6382 + }, + { + "epoch": 0.54, + "learning_rate": 9.189757113146431e-06, + "loss": 0.888, + "step": 6383 + }, + { + "epoch": 0.54, + "learning_rate": 9.187021221034792e-06, + "loss": 0.9133, + "step": 6384 + }, + { + "epoch": 0.54, + "learning_rate": 9.184285390178978e-06, + "loss": 0.8885, + "step": 6385 + }, + { + "epoch": 0.54, + "learning_rate": 9.181549620785115e-06, + "loss": 0.8703, + "step": 6386 + }, + { + "epoch": 0.54, + "learning_rate": 9.178813913059348e-06, + "loss": 0.8863, + "step": 6387 + }, + { + "epoch": 0.54, + "learning_rate": 9.176078267207799e-06, + "loss": 0.8925, + "step": 6388 + }, + { + "epoch": 0.54, + "learning_rate": 9.173342683436593e-06, + "loss": 0.9218, + "step": 6389 + }, + { + "epoch": 0.54, + "learning_rate": 9.170607161951848e-06, + "loss": 0.8928, + "step": 6390 + }, + { + "epoch": 0.54, + "learning_rate": 9.167871702959678e-06, + "loss": 0.8836, + "step": 6391 + }, + { + "epoch": 0.54, + "learning_rate": 9.165136306666196e-06, + "loss": 0.8562, + "step": 6392 + }, + { + "epoch": 0.54, + "learning_rate": 9.162400973277503e-06, + "loss": 0.8996, + "step": 6393 + }, + { + "epoch": 0.54, + "learning_rate": 9.159665702999705e-06, + "loss": 0.5043, + "step": 6394 + }, + { + "epoch": 0.54, + "learning_rate": 9.15693049603889e-06, + "loss": 0.9165, + "step": 6395 + }, + { + "epoch": 0.54, + "learning_rate": 9.154195352601155e-06, + "loss": 0.8828, + "step": 6396 + }, + { + "epoch": 0.54, + "learning_rate": 9.151460272892583e-06, + "loss": 0.8489, + "step": 6397 + }, + { + "epoch": 0.54, + "learning_rate": 9.148725257119253e-06, + "loss": 0.8735, + "step": 6398 + }, + { + "epoch": 0.54, + "learning_rate": 9.145990305487246e-06, + "loss": 0.8841, + "step": 6399 + }, + { + "epoch": 0.54, + "learning_rate": 9.143255418202627e-06, + "loss": 0.8728, + "step": 6400 + }, + { + "epoch": 0.54, + "learning_rate": 9.140520595471473e-06, + "loss": 0.8783, + "step": 6401 + }, + { + "epoch": 0.54, + "learning_rate": 9.137785837499833e-06, + "loss": 0.8794, + "step": 6402 + }, + { + "epoch": 0.54, + "learning_rate": 9.135051144493774e-06, + "loss": 0.9111, + "step": 6403 + }, + { + "epoch": 0.54, + "learning_rate": 9.132316516659341e-06, + "loss": 0.9003, + "step": 6404 + }, + { + "epoch": 0.54, + "learning_rate": 9.129581954202588e-06, + "loss": 0.9188, + "step": 6405 + }, + { + "epoch": 0.54, + "learning_rate": 9.126847457329547e-06, + "loss": 0.8274, + "step": 6406 + }, + { + "epoch": 0.54, + "learning_rate": 9.124113026246268e-06, + "loss": 0.8888, + "step": 6407 + }, + { + "epoch": 0.54, + "learning_rate": 9.121378661158774e-06, + "loss": 0.9084, + "step": 6408 + }, + { + "epoch": 0.54, + "learning_rate": 9.118644362273094e-06, + "loss": 0.833, + "step": 6409 + }, + { + "epoch": 0.54, + "learning_rate": 9.115910129795252e-06, + "loss": 0.8832, + "step": 6410 + }, + { + "epoch": 0.54, + "learning_rate": 9.113175963931264e-06, + "loss": 0.8809, + "step": 6411 + }, + { + "epoch": 0.54, + "learning_rate": 9.110441864887144e-06, + "loss": 0.9362, + "step": 6412 + }, + { + "epoch": 0.54, + "learning_rate": 9.107707832868896e-06, + "loss": 0.912, + "step": 6413 + }, + { + "epoch": 0.54, + "learning_rate": 9.104973868082525e-06, + "loss": 0.8806, + "step": 6414 + }, + { + "epoch": 0.54, + "learning_rate": 9.102239970734024e-06, + "loss": 0.8386, + "step": 6415 + }, + { + "epoch": 0.54, + "learning_rate": 9.099506141029393e-06, + "loss": 0.8953, + "step": 6416 + }, + { + "epoch": 0.54, + "learning_rate": 9.096772379174608e-06, + "loss": 0.8748, + "step": 6417 + }, + { + "epoch": 0.54, + "learning_rate": 9.094038685375663e-06, + "loss": 0.9054, + "step": 6418 + }, + { + "epoch": 0.54, + "learning_rate": 9.091305059838528e-06, + "loss": 0.8839, + "step": 6419 + }, + { + "epoch": 0.54, + "learning_rate": 9.08857150276917e-06, + "loss": 0.8799, + "step": 6420 + }, + { + "epoch": 0.54, + "learning_rate": 9.085838014373564e-06, + "loss": 0.8743, + "step": 6421 + }, + { + "epoch": 0.54, + "learning_rate": 9.083104594857663e-06, + "loss": 0.5044, + "step": 6422 + }, + { + "epoch": 0.54, + "learning_rate": 9.080371244427435e-06, + "loss": 0.9255, + "step": 6423 + }, + { + "epoch": 0.54, + "learning_rate": 9.077637963288814e-06, + "loss": 0.9272, + "step": 6424 + }, + { + "epoch": 0.54, + "learning_rate": 9.074904751647762e-06, + "loss": 0.8898, + "step": 6425 + }, + { + "epoch": 0.54, + "learning_rate": 9.072171609710207e-06, + "loss": 0.8866, + "step": 6426 + }, + { + "epoch": 0.54, + "learning_rate": 9.069438537682096e-06, + "loss": 0.8477, + "step": 6427 + }, + { + "epoch": 0.54, + "learning_rate": 9.066705535769345e-06, + "loss": 0.91, + "step": 6428 + }, + { + "epoch": 0.54, + "learning_rate": 9.06397260417789e-06, + "loss": 0.9048, + "step": 6429 + }, + { + "epoch": 0.54, + "learning_rate": 9.061239743113643e-06, + "loss": 0.8983, + "step": 6430 + }, + { + "epoch": 0.55, + "learning_rate": 9.058506952782522e-06, + "loss": 0.8754, + "step": 6431 + }, + { + "epoch": 0.55, + "learning_rate": 9.055774233390435e-06, + "loss": 0.8886, + "step": 6432 + }, + { + "epoch": 0.55, + "learning_rate": 9.053041585143282e-06, + "loss": 0.8947, + "step": 6433 + }, + { + "epoch": 0.55, + "learning_rate": 9.050309008246965e-06, + "loss": 0.8579, + "step": 6434 + }, + { + "epoch": 0.55, + "learning_rate": 9.047576502907375e-06, + "loss": 0.8902, + "step": 6435 + }, + { + "epoch": 0.55, + "learning_rate": 9.044844069330398e-06, + "loss": 0.878, + "step": 6436 + }, + { + "epoch": 0.55, + "learning_rate": 9.042111707721916e-06, + "loss": 0.9782, + "step": 6437 + }, + { + "epoch": 0.55, + "learning_rate": 9.03937941828781e-06, + "loss": 0.5454, + "step": 6438 + }, + { + "epoch": 0.55, + "learning_rate": 9.036647201233947e-06, + "loss": 0.9374, + "step": 6439 + }, + { + "epoch": 0.55, + "learning_rate": 9.033915056766187e-06, + "loss": 0.9065, + "step": 6440 + }, + { + "epoch": 0.55, + "learning_rate": 9.0311829850904e-06, + "loss": 0.85, + "step": 6441 + }, + { + "epoch": 0.55, + "learning_rate": 9.028450986412432e-06, + "loss": 0.9221, + "step": 6442 + }, + { + "epoch": 0.55, + "learning_rate": 9.025719060938138e-06, + "loss": 0.5101, + "step": 6443 + }, + { + "epoch": 0.55, + "learning_rate": 9.022987208873355e-06, + "loss": 0.877, + "step": 6444 + }, + { + "epoch": 0.55, + "learning_rate": 9.020255430423932e-06, + "loss": 0.8562, + "step": 6445 + }, + { + "epoch": 0.55, + "learning_rate": 9.017523725795688e-06, + "loss": 0.5939, + "step": 6446 + }, + { + "epoch": 0.55, + "learning_rate": 9.014792095194459e-06, + "loss": 0.8737, + "step": 6447 + }, + { + "epoch": 0.55, + "learning_rate": 9.01206053882606e-06, + "loss": 0.9122, + "step": 6448 + }, + { + "epoch": 0.55, + "learning_rate": 9.009329056896314e-06, + "loss": 0.8836, + "step": 6449 + }, + { + "epoch": 0.55, + "learning_rate": 9.006597649611026e-06, + "loss": 0.9038, + "step": 6450 + }, + { + "epoch": 0.55, + "learning_rate": 9.003866317176e-06, + "loss": 0.9214, + "step": 6451 + }, + { + "epoch": 0.55, + "learning_rate": 9.001135059797036e-06, + "loss": 0.8811, + "step": 6452 + }, + { + "epoch": 0.55, + "learning_rate": 8.998403877679926e-06, + "loss": 0.9078, + "step": 6453 + }, + { + "epoch": 0.55, + "learning_rate": 8.99567277103046e-06, + "loss": 0.9043, + "step": 6454 + }, + { + "epoch": 0.55, + "learning_rate": 8.992941740054418e-06, + "loss": 0.9219, + "step": 6455 + }, + { + "epoch": 0.55, + "learning_rate": 8.990210784957577e-06, + "loss": 0.8442, + "step": 6456 + }, + { + "epoch": 0.55, + "learning_rate": 8.987479905945704e-06, + "loss": 0.8803, + "step": 6457 + }, + { + "epoch": 0.55, + "learning_rate": 8.984749103224568e-06, + "loss": 0.9121, + "step": 6458 + }, + { + "epoch": 0.55, + "learning_rate": 8.982018376999924e-06, + "loss": 0.8621, + "step": 6459 + }, + { + "epoch": 0.55, + "learning_rate": 8.97928772747753e-06, + "loss": 0.8656, + "step": 6460 + }, + { + "epoch": 0.55, + "learning_rate": 8.97655715486313e-06, + "loss": 0.8635, + "step": 6461 + }, + { + "epoch": 0.55, + "learning_rate": 8.973826659362464e-06, + "loss": 0.8714, + "step": 6462 + }, + { + "epoch": 0.55, + "learning_rate": 8.971096241181272e-06, + "loss": 0.8999, + "step": 6463 + }, + { + "epoch": 0.55, + "learning_rate": 8.968365900525275e-06, + "loss": 0.874, + "step": 6464 + }, + { + "epoch": 0.55, + "learning_rate": 8.96563563760021e-06, + "loss": 0.8807, + "step": 6465 + }, + { + "epoch": 0.55, + "learning_rate": 8.962905452611785e-06, + "loss": 0.9078, + "step": 6466 + }, + { + "epoch": 0.55, + "learning_rate": 8.960175345765718e-06, + "loss": 0.8879, + "step": 6467 + }, + { + "epoch": 0.55, + "learning_rate": 8.957445317267708e-06, + "loss": 0.8766, + "step": 6468 + }, + { + "epoch": 0.55, + "learning_rate": 8.954715367323468e-06, + "loss": 0.8641, + "step": 6469 + }, + { + "epoch": 0.55, + "learning_rate": 8.951985496138679e-06, + "loss": 0.8385, + "step": 6470 + }, + { + "epoch": 0.55, + "learning_rate": 8.94925570391904e-06, + "loss": 0.8941, + "step": 6471 + }, + { + "epoch": 0.55, + "learning_rate": 8.946525990870228e-06, + "loss": 0.8436, + "step": 6472 + }, + { + "epoch": 0.55, + "learning_rate": 8.94379635719792e-06, + "loss": 0.8859, + "step": 6473 + }, + { + "epoch": 0.55, + "learning_rate": 8.941066803107789e-06, + "loss": 0.886, + "step": 6474 + }, + { + "epoch": 0.55, + "learning_rate": 8.9383373288055e-06, + "loss": 0.9163, + "step": 6475 + }, + { + "epoch": 0.55, + "learning_rate": 8.935607934496708e-06, + "loss": 0.8918, + "step": 6476 + }, + { + "epoch": 0.55, + "learning_rate": 8.93287862038707e-06, + "loss": 0.8605, + "step": 6477 + }, + { + "epoch": 0.55, + "learning_rate": 8.93014938668223e-06, + "loss": 0.8724, + "step": 6478 + }, + { + "epoch": 0.55, + "learning_rate": 8.92742023358783e-06, + "loss": 0.9016, + "step": 6479 + }, + { + "epoch": 0.55, + "learning_rate": 8.924691161309503e-06, + "loss": 0.9093, + "step": 6480 + }, + { + "epoch": 0.55, + "learning_rate": 8.921962170052882e-06, + "loss": 0.8962, + "step": 6481 + }, + { + "epoch": 0.55, + "learning_rate": 8.91923326002358e-06, + "loss": 0.8778, + "step": 6482 + }, + { + "epoch": 0.55, + "learning_rate": 8.916504431427224e-06, + "loss": 0.8464, + "step": 6483 + }, + { + "epoch": 0.55, + "learning_rate": 8.913775684469414e-06, + "loss": 0.8891, + "step": 6484 + }, + { + "epoch": 0.55, + "learning_rate": 8.911047019355763e-06, + "loss": 0.9313, + "step": 6485 + }, + { + "epoch": 0.55, + "learning_rate": 8.908318436291862e-06, + "loss": 0.8933, + "step": 6486 + }, + { + "epoch": 0.55, + "learning_rate": 8.905589935483309e-06, + "loss": 0.9126, + "step": 6487 + }, + { + "epoch": 0.55, + "learning_rate": 8.902861517135682e-06, + "loss": 0.9538, + "step": 6488 + }, + { + "epoch": 0.55, + "learning_rate": 8.900133181454566e-06, + "loss": 0.9046, + "step": 6489 + }, + { + "epoch": 0.55, + "learning_rate": 8.897404928645529e-06, + "loss": 0.5044, + "step": 6490 + }, + { + "epoch": 0.55, + "learning_rate": 8.894676758914145e-06, + "loss": 0.8579, + "step": 6491 + }, + { + "epoch": 0.55, + "learning_rate": 8.89194867246597e-06, + "loss": 0.9369, + "step": 6492 + }, + { + "epoch": 0.55, + "learning_rate": 8.889220669506554e-06, + "loss": 0.8468, + "step": 6493 + }, + { + "epoch": 0.55, + "learning_rate": 8.88649275024145e-06, + "loss": 0.8816, + "step": 6494 + }, + { + "epoch": 0.55, + "learning_rate": 8.8837649148762e-06, + "loss": 0.8718, + "step": 6495 + }, + { + "epoch": 0.55, + "learning_rate": 8.881037163616336e-06, + "loss": 0.8902, + "step": 6496 + }, + { + "epoch": 0.55, + "learning_rate": 8.87830949666739e-06, + "loss": 0.871, + "step": 6497 + }, + { + "epoch": 0.55, + "learning_rate": 8.875581914234883e-06, + "loss": 0.9296, + "step": 6498 + }, + { + "epoch": 0.55, + "learning_rate": 8.872854416524332e-06, + "loss": 0.9065, + "step": 6499 + }, + { + "epoch": 0.55, + "learning_rate": 8.870127003741245e-06, + "loss": 0.8933, + "step": 6500 + }, + { + "epoch": 0.55, + "learning_rate": 8.867399676091127e-06, + "loss": 0.8592, + "step": 6501 + }, + { + "epoch": 0.55, + "learning_rate": 8.864672433779476e-06, + "loss": 0.8473, + "step": 6502 + }, + { + "epoch": 0.55, + "learning_rate": 8.861945277011782e-06, + "loss": 0.9077, + "step": 6503 + }, + { + "epoch": 0.55, + "learning_rate": 8.859218205993524e-06, + "loss": 0.9234, + "step": 6504 + }, + { + "epoch": 0.55, + "learning_rate": 8.856491220930188e-06, + "loss": 0.9236, + "step": 6505 + }, + { + "epoch": 0.55, + "learning_rate": 8.853764322027239e-06, + "loss": 0.8548, + "step": 6506 + }, + { + "epoch": 0.55, + "learning_rate": 8.851037509490145e-06, + "loss": 0.8779, + "step": 6507 + }, + { + "epoch": 0.55, + "learning_rate": 8.84831078352436e-06, + "loss": 0.8886, + "step": 6508 + }, + { + "epoch": 0.55, + "learning_rate": 8.845584144335344e-06, + "loss": 0.862, + "step": 6509 + }, + { + "epoch": 0.55, + "learning_rate": 8.842857592128531e-06, + "loss": 0.8986, + "step": 6510 + }, + { + "epoch": 0.55, + "learning_rate": 8.84013112710937e-06, + "loss": 0.854, + "step": 6511 + }, + { + "epoch": 0.55, + "learning_rate": 8.837404749483285e-06, + "loss": 0.867, + "step": 6512 + }, + { + "epoch": 0.55, + "learning_rate": 8.834678459455709e-06, + "loss": 0.8717, + "step": 6513 + }, + { + "epoch": 0.55, + "learning_rate": 8.831952257232056e-06, + "loss": 0.8694, + "step": 6514 + }, + { + "epoch": 0.55, + "learning_rate": 8.829226143017735e-06, + "loss": 0.8926, + "step": 6515 + }, + { + "epoch": 0.55, + "learning_rate": 8.826500117018157e-06, + "loss": 0.8553, + "step": 6516 + }, + { + "epoch": 0.55, + "learning_rate": 8.82377417943872e-06, + "loss": 0.8894, + "step": 6517 + }, + { + "epoch": 0.55, + "learning_rate": 8.821048330484814e-06, + "loss": 0.8903, + "step": 6518 + }, + { + "epoch": 0.55, + "learning_rate": 8.818322570361826e-06, + "loss": 0.8868, + "step": 6519 + }, + { + "epoch": 0.55, + "learning_rate": 8.815596899275136e-06, + "loss": 0.8744, + "step": 6520 + }, + { + "epoch": 0.55, + "learning_rate": 8.812871317430114e-06, + "loss": 0.9035, + "step": 6521 + }, + { + "epoch": 0.55, + "learning_rate": 8.810145825032127e-06, + "loss": 0.8899, + "step": 6522 + }, + { + "epoch": 0.55, + "learning_rate": 8.807420422286535e-06, + "loss": 0.9181, + "step": 6523 + }, + { + "epoch": 0.55, + "learning_rate": 8.804695109398686e-06, + "loss": 0.9049, + "step": 6524 + }, + { + "epoch": 0.55, + "learning_rate": 8.80196988657393e-06, + "loss": 0.9031, + "step": 6525 + }, + { + "epoch": 0.55, + "learning_rate": 8.799244754017599e-06, + "loss": 0.8803, + "step": 6526 + }, + { + "epoch": 0.55, + "learning_rate": 8.796519711935032e-06, + "loss": 0.8849, + "step": 6527 + }, + { + "epoch": 0.55, + "learning_rate": 8.793794760531546e-06, + "loss": 0.8723, + "step": 6528 + }, + { + "epoch": 0.55, + "learning_rate": 8.791069900012468e-06, + "loss": 0.9259, + "step": 6529 + }, + { + "epoch": 0.55, + "learning_rate": 8.788345130583099e-06, + "loss": 0.8792, + "step": 6530 + }, + { + "epoch": 0.55, + "learning_rate": 8.785620452448753e-06, + "loss": 0.9186, + "step": 6531 + }, + { + "epoch": 0.55, + "learning_rate": 8.782895865814719e-06, + "loss": 0.8766, + "step": 6532 + }, + { + "epoch": 0.55, + "learning_rate": 8.780171370886295e-06, + "loss": 0.9343, + "step": 6533 + }, + { + "epoch": 0.55, + "learning_rate": 8.777446967868761e-06, + "loss": 0.8426, + "step": 6534 + }, + { + "epoch": 0.55, + "learning_rate": 8.77472265696739e-06, + "loss": 0.8639, + "step": 6535 + }, + { + "epoch": 0.55, + "learning_rate": 8.771998438387458e-06, + "loss": 0.9002, + "step": 6536 + }, + { + "epoch": 0.55, + "learning_rate": 8.769274312334222e-06, + "loss": 0.9107, + "step": 6537 + }, + { + "epoch": 0.55, + "learning_rate": 8.76655027901294e-06, + "loss": 0.8909, + "step": 6538 + }, + { + "epoch": 0.55, + "learning_rate": 8.763826338628865e-06, + "loss": 0.8997, + "step": 6539 + }, + { + "epoch": 0.55, + "learning_rate": 8.761102491387232e-06, + "loss": 0.9059, + "step": 6540 + }, + { + "epoch": 0.55, + "learning_rate": 8.75837873749328e-06, + "loss": 0.8518, + "step": 6541 + }, + { + "epoch": 0.55, + "learning_rate": 8.755655077152237e-06, + "loss": 0.9, + "step": 6542 + }, + { + "epoch": 0.55, + "learning_rate": 8.75293151056932e-06, + "loss": 0.9068, + "step": 6543 + }, + { + "epoch": 0.55, + "learning_rate": 8.750208037949747e-06, + "loss": 0.8611, + "step": 6544 + }, + { + "epoch": 0.55, + "learning_rate": 8.747484659498725e-06, + "loss": 0.9092, + "step": 6545 + }, + { + "epoch": 0.55, + "learning_rate": 8.744761375421443e-06, + "loss": 0.8871, + "step": 6546 + }, + { + "epoch": 0.55, + "learning_rate": 8.742038185923108e-06, + "loss": 0.8991, + "step": 6547 + }, + { + "epoch": 0.55, + "learning_rate": 8.739315091208893e-06, + "loss": 0.5453, + "step": 6548 + }, + { + "epoch": 0.56, + "learning_rate": 8.736592091483987e-06, + "loss": 0.8816, + "step": 6549 + }, + { + "epoch": 0.56, + "learning_rate": 8.73386918695355e-06, + "loss": 0.8693, + "step": 6550 + }, + { + "epoch": 0.56, + "learning_rate": 8.731146377822755e-06, + "loss": 0.9251, + "step": 6551 + }, + { + "epoch": 0.56, + "learning_rate": 8.728423664296752e-06, + "loss": 0.9536, + "step": 6552 + }, + { + "epoch": 0.56, + "learning_rate": 8.725701046580694e-06, + "loss": 0.8619, + "step": 6553 + }, + { + "epoch": 0.56, + "learning_rate": 8.72297852487972e-06, + "loss": 0.5742, + "step": 6554 + }, + { + "epoch": 0.56, + "learning_rate": 8.720256099398972e-06, + "loss": 0.9174, + "step": 6555 + }, + { + "epoch": 0.56, + "learning_rate": 8.71753377034357e-06, + "loss": 0.91, + "step": 6556 + }, + { + "epoch": 0.56, + "learning_rate": 8.714811537918634e-06, + "loss": 0.9099, + "step": 6557 + }, + { + "epoch": 0.56, + "learning_rate": 8.712089402329285e-06, + "loss": 0.8779, + "step": 6558 + }, + { + "epoch": 0.56, + "learning_rate": 8.709367363780618e-06, + "loss": 0.9047, + "step": 6559 + }, + { + "epoch": 0.56, + "learning_rate": 8.706645422477739e-06, + "loss": 0.8606, + "step": 6560 + }, + { + "epoch": 0.56, + "learning_rate": 8.703923578625738e-06, + "loss": 0.8981, + "step": 6561 + }, + { + "epoch": 0.56, + "learning_rate": 8.701201832429698e-06, + "loss": 0.9035, + "step": 6562 + }, + { + "epoch": 0.56, + "learning_rate": 8.698480184094695e-06, + "loss": 0.8635, + "step": 6563 + }, + { + "epoch": 0.56, + "learning_rate": 8.695758633825799e-06, + "loss": 0.8904, + "step": 6564 + }, + { + "epoch": 0.56, + "learning_rate": 8.693037181828073e-06, + "loss": 0.8722, + "step": 6565 + }, + { + "epoch": 0.56, + "learning_rate": 8.690315828306566e-06, + "loss": 0.9574, + "step": 6566 + }, + { + "epoch": 0.56, + "learning_rate": 8.687594573466333e-06, + "loss": 0.8675, + "step": 6567 + }, + { + "epoch": 0.56, + "learning_rate": 8.684873417512403e-06, + "loss": 0.9075, + "step": 6568 + }, + { + "epoch": 0.56, + "learning_rate": 8.682152360649819e-06, + "loss": 0.9472, + "step": 6569 + }, + { + "epoch": 0.56, + "learning_rate": 8.679431403083596e-06, + "loss": 0.8761, + "step": 6570 + }, + { + "epoch": 0.56, + "learning_rate": 8.67671054501876e-06, + "loss": 0.8419, + "step": 6571 + }, + { + "epoch": 0.56, + "learning_rate": 8.67398978666031e-06, + "loss": 0.8919, + "step": 6572 + }, + { + "epoch": 0.56, + "learning_rate": 8.67126912821326e-06, + "loss": 0.8904, + "step": 6573 + }, + { + "epoch": 0.56, + "learning_rate": 8.668548569882593e-06, + "loss": 0.871, + "step": 6574 + }, + { + "epoch": 0.56, + "learning_rate": 8.665828111873307e-06, + "loss": 0.8803, + "step": 6575 + }, + { + "epoch": 0.56, + "learning_rate": 8.663107754390375e-06, + "loss": 0.8827, + "step": 6576 + }, + { + "epoch": 0.56, + "learning_rate": 8.660387497638765e-06, + "loss": 0.8444, + "step": 6577 + }, + { + "epoch": 0.56, + "learning_rate": 8.657667341823449e-06, + "loss": 0.9079, + "step": 6578 + }, + { + "epoch": 0.56, + "learning_rate": 8.654947287149376e-06, + "loss": 0.9043, + "step": 6579 + }, + { + "epoch": 0.56, + "learning_rate": 8.652227333821504e-06, + "loss": 0.8907, + "step": 6580 + }, + { + "epoch": 0.56, + "learning_rate": 8.649507482044766e-06, + "loss": 0.9008, + "step": 6581 + }, + { + "epoch": 0.56, + "learning_rate": 8.6467877320241e-06, + "loss": 0.8963, + "step": 6582 + }, + { + "epoch": 0.56, + "learning_rate": 8.644068083964435e-06, + "loss": 0.8965, + "step": 6583 + }, + { + "epoch": 0.56, + "learning_rate": 8.641348538070683e-06, + "loss": 0.8832, + "step": 6584 + }, + { + "epoch": 0.56, + "learning_rate": 8.638629094547757e-06, + "loss": 0.8893, + "step": 6585 + }, + { + "epoch": 0.56, + "learning_rate": 8.63590975360056e-06, + "loss": 0.8659, + "step": 6586 + }, + { + "epoch": 0.56, + "learning_rate": 8.633190515433992e-06, + "loss": 0.8993, + "step": 6587 + }, + { + "epoch": 0.56, + "learning_rate": 8.63047138025293e-06, + "loss": 0.8455, + "step": 6588 + }, + { + "epoch": 0.56, + "learning_rate": 8.627752348262263e-06, + "loss": 0.8771, + "step": 6589 + }, + { + "epoch": 0.56, + "learning_rate": 8.625033419666856e-06, + "loss": 0.9008, + "step": 6590 + }, + { + "epoch": 0.56, + "learning_rate": 8.622314594671582e-06, + "loss": 0.8821, + "step": 6591 + }, + { + "epoch": 0.56, + "learning_rate": 8.619595873481288e-06, + "loss": 0.8715, + "step": 6592 + }, + { + "epoch": 0.56, + "learning_rate": 8.616877256300829e-06, + "loss": 0.8464, + "step": 6593 + }, + { + "epoch": 0.56, + "learning_rate": 8.614158743335042e-06, + "loss": 0.9187, + "step": 6594 + }, + { + "epoch": 0.56, + "learning_rate": 8.611440334788762e-06, + "loss": 0.8234, + "step": 6595 + }, + { + "epoch": 0.56, + "learning_rate": 8.608722030866812e-06, + "loss": 0.8541, + "step": 6596 + }, + { + "epoch": 0.56, + "learning_rate": 8.606003831774013e-06, + "loss": 0.9079, + "step": 6597 + }, + { + "epoch": 0.56, + "learning_rate": 8.603285737715172e-06, + "loss": 0.9085, + "step": 6598 + }, + { + "epoch": 0.56, + "learning_rate": 8.600567748895083e-06, + "loss": 0.8283, + "step": 6599 + }, + { + "epoch": 0.56, + "learning_rate": 8.597849865518552e-06, + "loss": 0.906, + "step": 6600 + }, + { + "epoch": 0.56, + "learning_rate": 8.595132087790355e-06, + "loss": 0.9181, + "step": 6601 + }, + { + "epoch": 0.56, + "learning_rate": 8.592414415915275e-06, + "loss": 0.873, + "step": 6602 + }, + { + "epoch": 0.56, + "learning_rate": 8.589696850098077e-06, + "loss": 0.8527, + "step": 6603 + }, + { + "epoch": 0.56, + "learning_rate": 8.586979390543526e-06, + "loss": 0.5141, + "step": 6604 + }, + { + "epoch": 0.56, + "learning_rate": 8.584262037456374e-06, + "loss": 0.9024, + "step": 6605 + }, + { + "epoch": 0.56, + "learning_rate": 8.581544791041367e-06, + "loss": 0.8763, + "step": 6606 + }, + { + "epoch": 0.56, + "learning_rate": 8.578827651503244e-06, + "loss": 0.9083, + "step": 6607 + }, + { + "epoch": 0.56, + "learning_rate": 8.576110619046726e-06, + "loss": 0.8661, + "step": 6608 + }, + { + "epoch": 0.56, + "learning_rate": 8.573393693876547e-06, + "loss": 0.8867, + "step": 6609 + }, + { + "epoch": 0.56, + "learning_rate": 8.570676876197408e-06, + "loss": 0.8881, + "step": 6610 + }, + { + "epoch": 0.56, + "learning_rate": 8.567960166214026e-06, + "loss": 0.9214, + "step": 6611 + }, + { + "epoch": 0.56, + "learning_rate": 8.565243564131087e-06, + "loss": 0.8796, + "step": 6612 + }, + { + "epoch": 0.56, + "learning_rate": 8.562527070153288e-06, + "loss": 0.8813, + "step": 6613 + }, + { + "epoch": 0.56, + "learning_rate": 8.559810684485302e-06, + "loss": 0.9224, + "step": 6614 + }, + { + "epoch": 0.56, + "learning_rate": 8.55709440733181e-06, + "loss": 0.9554, + "step": 6615 + }, + { + "epoch": 0.56, + "learning_rate": 8.55437823889747e-06, + "loss": 0.4864, + "step": 6616 + }, + { + "epoch": 0.56, + "learning_rate": 8.551662179386944e-06, + "loss": 0.8925, + "step": 6617 + }, + { + "epoch": 0.56, + "learning_rate": 8.548946229004876e-06, + "loss": 0.915, + "step": 6618 + }, + { + "epoch": 0.56, + "learning_rate": 8.546230387955901e-06, + "loss": 0.9668, + "step": 6619 + }, + { + "epoch": 0.56, + "learning_rate": 8.54351465644466e-06, + "loss": 0.8658, + "step": 6620 + }, + { + "epoch": 0.56, + "learning_rate": 8.540799034675769e-06, + "loss": 0.8215, + "step": 6621 + }, + { + "epoch": 0.56, + "learning_rate": 8.538083522853849e-06, + "loss": 0.9154, + "step": 6622 + }, + { + "epoch": 0.56, + "learning_rate": 8.5353681211835e-06, + "loss": 0.8973, + "step": 6623 + }, + { + "epoch": 0.56, + "learning_rate": 8.53265282986933e-06, + "loss": 0.89, + "step": 6624 + }, + { + "epoch": 0.56, + "learning_rate": 8.529937649115916e-06, + "loss": 0.9009, + "step": 6625 + }, + { + "epoch": 0.56, + "learning_rate": 8.52722257912785e-06, + "loss": 0.9332, + "step": 6626 + }, + { + "epoch": 0.56, + "learning_rate": 8.5245076201097e-06, + "loss": 0.8875, + "step": 6627 + }, + { + "epoch": 0.56, + "learning_rate": 8.521792772266037e-06, + "loss": 0.8963, + "step": 6628 + }, + { + "epoch": 0.56, + "learning_rate": 8.519078035801415e-06, + "loss": 0.9148, + "step": 6629 + }, + { + "epoch": 0.56, + "learning_rate": 8.516363410920376e-06, + "loss": 0.8792, + "step": 6630 + }, + { + "epoch": 0.56, + "learning_rate": 8.51364889782747e-06, + "loss": 0.9399, + "step": 6631 + }, + { + "epoch": 0.56, + "learning_rate": 8.510934496727218e-06, + "loss": 0.894, + "step": 6632 + }, + { + "epoch": 0.56, + "learning_rate": 8.508220207824156e-06, + "loss": 0.9021, + "step": 6633 + }, + { + "epoch": 0.56, + "learning_rate": 8.505506031322784e-06, + "loss": 0.8335, + "step": 6634 + }, + { + "epoch": 0.56, + "learning_rate": 8.50279196742762e-06, + "loss": 0.8745, + "step": 6635 + }, + { + "epoch": 0.56, + "learning_rate": 8.500078016343152e-06, + "loss": 0.8814, + "step": 6636 + }, + { + "epoch": 0.56, + "learning_rate": 8.497364178273878e-06, + "loss": 0.8568, + "step": 6637 + }, + { + "epoch": 0.56, + "learning_rate": 8.494650453424272e-06, + "loss": 0.9085, + "step": 6638 + }, + { + "epoch": 0.56, + "learning_rate": 8.491936841998811e-06, + "loss": 0.8281, + "step": 6639 + }, + { + "epoch": 0.56, + "learning_rate": 8.489223344201958e-06, + "loss": 0.8507, + "step": 6640 + }, + { + "epoch": 0.56, + "learning_rate": 8.48650996023816e-06, + "loss": 0.8892, + "step": 6641 + }, + { + "epoch": 0.56, + "learning_rate": 8.483796690311875e-06, + "loss": 0.8735, + "step": 6642 + }, + { + "epoch": 0.56, + "learning_rate": 8.48108353462753e-06, + "loss": 0.8802, + "step": 6643 + }, + { + "epoch": 0.56, + "learning_rate": 8.478370493389563e-06, + "loss": 0.871, + "step": 6644 + }, + { + "epoch": 0.56, + "learning_rate": 8.475657566802388e-06, + "loss": 0.9181, + "step": 6645 + }, + { + "epoch": 0.56, + "learning_rate": 8.472944755070423e-06, + "loss": 0.8557, + "step": 6646 + }, + { + "epoch": 0.56, + "learning_rate": 8.470232058398063e-06, + "loss": 0.8718, + "step": 6647 + }, + { + "epoch": 0.56, + "learning_rate": 8.467519476989711e-06, + "loss": 0.8438, + "step": 6648 + }, + { + "epoch": 0.56, + "learning_rate": 8.464807011049751e-06, + "loss": 0.8709, + "step": 6649 + }, + { + "epoch": 0.56, + "learning_rate": 8.462094660782555e-06, + "loss": 0.8363, + "step": 6650 + }, + { + "epoch": 0.56, + "learning_rate": 8.4593824263925e-06, + "loss": 0.8976, + "step": 6651 + }, + { + "epoch": 0.56, + "learning_rate": 8.456670308083936e-06, + "loss": 0.8302, + "step": 6652 + }, + { + "epoch": 0.56, + "learning_rate": 8.453958306061223e-06, + "loss": 0.896, + "step": 6653 + }, + { + "epoch": 0.56, + "learning_rate": 8.451246420528694e-06, + "loss": 0.8809, + "step": 6654 + }, + { + "epoch": 0.56, + "learning_rate": 8.448534651690694e-06, + "loss": 0.9032, + "step": 6655 + }, + { + "epoch": 0.56, + "learning_rate": 8.445822999751536e-06, + "loss": 0.9119, + "step": 6656 + }, + { + "epoch": 0.56, + "learning_rate": 8.443111464915545e-06, + "loss": 0.9089, + "step": 6657 + }, + { + "epoch": 0.56, + "learning_rate": 8.440400047387019e-06, + "loss": 0.9316, + "step": 6658 + }, + { + "epoch": 0.56, + "learning_rate": 8.437688747370267e-06, + "loss": 0.8822, + "step": 6659 + }, + { + "epoch": 0.56, + "learning_rate": 8.434977565069572e-06, + "loss": 0.8138, + "step": 6660 + }, + { + "epoch": 0.56, + "learning_rate": 8.432266500689213e-06, + "loss": 0.8818, + "step": 6661 + }, + { + "epoch": 0.56, + "learning_rate": 8.429555554433466e-06, + "loss": 0.8325, + "step": 6662 + }, + { + "epoch": 0.56, + "learning_rate": 8.426844726506589e-06, + "loss": 0.5193, + "step": 6663 + }, + { + "epoch": 0.56, + "learning_rate": 8.424134017112841e-06, + "loss": 0.9146, + "step": 6664 + }, + { + "epoch": 0.56, + "learning_rate": 8.42142342645646e-06, + "loss": 0.887, + "step": 6665 + }, + { + "epoch": 0.56, + "learning_rate": 8.418712954741691e-06, + "loss": 0.8599, + "step": 6666 + }, + { + "epoch": 0.57, + "learning_rate": 8.416002602172752e-06, + "loss": 0.8824, + "step": 6667 + }, + { + "epoch": 0.57, + "learning_rate": 8.41329236895387e-06, + "loss": 0.8664, + "step": 6668 + }, + { + "epoch": 0.57, + "learning_rate": 8.410582255289243e-06, + "loss": 0.9255, + "step": 6669 + }, + { + "epoch": 0.57, + "learning_rate": 8.40787226138308e-06, + "loss": 0.8461, + "step": 6670 + }, + { + "epoch": 0.57, + "learning_rate": 8.40516238743957e-06, + "loss": 0.9008, + "step": 6671 + }, + { + "epoch": 0.57, + "learning_rate": 8.40245263366289e-06, + "loss": 0.8571, + "step": 6672 + }, + { + "epoch": 0.57, + "learning_rate": 8.39974300025722e-06, + "loss": 0.8953, + "step": 6673 + }, + { + "epoch": 0.57, + "learning_rate": 8.397033487426717e-06, + "loss": 0.8685, + "step": 6674 + }, + { + "epoch": 0.57, + "learning_rate": 8.394324095375543e-06, + "loss": 0.872, + "step": 6675 + }, + { + "epoch": 0.57, + "learning_rate": 8.391614824307835e-06, + "loss": 0.8342, + "step": 6676 + }, + { + "epoch": 0.57, + "learning_rate": 8.38890567442774e-06, + "loss": 0.8646, + "step": 6677 + }, + { + "epoch": 0.57, + "learning_rate": 8.386196645939372e-06, + "loss": 0.8819, + "step": 6678 + }, + { + "epoch": 0.57, + "learning_rate": 8.383487739046865e-06, + "loss": 0.925, + "step": 6679 + }, + { + "epoch": 0.57, + "learning_rate": 8.380778953954314e-06, + "loss": 0.9201, + "step": 6680 + }, + { + "epoch": 0.57, + "learning_rate": 8.378070290865827e-06, + "loss": 0.8711, + "step": 6681 + }, + { + "epoch": 0.57, + "learning_rate": 8.375361749985494e-06, + "loss": 0.8474, + "step": 6682 + }, + { + "epoch": 0.57, + "learning_rate": 8.37265333151739e-06, + "loss": 0.8468, + "step": 6683 + }, + { + "epoch": 0.57, + "learning_rate": 8.369945035665595e-06, + "loss": 0.4769, + "step": 6684 + }, + { + "epoch": 0.57, + "learning_rate": 8.367236862634166e-06, + "loss": 0.9038, + "step": 6685 + }, + { + "epoch": 0.57, + "learning_rate": 8.364528812627164e-06, + "loss": 0.872, + "step": 6686 + }, + { + "epoch": 0.57, + "learning_rate": 8.361820885848623e-06, + "loss": 0.8485, + "step": 6687 + }, + { + "epoch": 0.57, + "learning_rate": 8.35911308250259e-06, + "loss": 0.897, + "step": 6688 + }, + { + "epoch": 0.57, + "learning_rate": 8.356405402793081e-06, + "loss": 0.9627, + "step": 6689 + }, + { + "epoch": 0.57, + "learning_rate": 8.35369784692412e-06, + "loss": 0.9259, + "step": 6690 + }, + { + "epoch": 0.57, + "learning_rate": 8.35099041509971e-06, + "loss": 0.9307, + "step": 6691 + }, + { + "epoch": 0.57, + "learning_rate": 8.348283107523848e-06, + "loss": 0.6502, + "step": 6692 + }, + { + "epoch": 0.57, + "learning_rate": 8.345575924400527e-06, + "loss": 0.9107, + "step": 6693 + }, + { + "epoch": 0.57, + "learning_rate": 8.34286886593372e-06, + "loss": 0.893, + "step": 6694 + }, + { + "epoch": 0.57, + "learning_rate": 8.340161932327405e-06, + "loss": 0.4886, + "step": 6695 + }, + { + "epoch": 0.57, + "learning_rate": 8.337455123785533e-06, + "loss": 0.8492, + "step": 6696 + }, + { + "epoch": 0.57, + "learning_rate": 8.334748440512064e-06, + "loss": 0.8953, + "step": 6697 + }, + { + "epoch": 0.57, + "learning_rate": 8.33204188271093e-06, + "loss": 0.9269, + "step": 6698 + }, + { + "epoch": 0.57, + "learning_rate": 8.329335450586075e-06, + "loss": 0.8891, + "step": 6699 + }, + { + "epoch": 0.57, + "learning_rate": 8.326629144341408e-06, + "loss": 0.8535, + "step": 6700 + }, + { + "epoch": 0.57, + "learning_rate": 8.323922964180853e-06, + "loss": 0.9508, + "step": 6701 + }, + { + "epoch": 0.57, + "learning_rate": 8.321216910308309e-06, + "loss": 0.872, + "step": 6702 + }, + { + "epoch": 0.57, + "learning_rate": 8.318510982927668e-06, + "loss": 0.5181, + "step": 6703 + }, + { + "epoch": 0.57, + "learning_rate": 8.31580518224282e-06, + "loss": 0.8648, + "step": 6704 + }, + { + "epoch": 0.57, + "learning_rate": 8.313099508457633e-06, + "loss": 0.8729, + "step": 6705 + }, + { + "epoch": 0.57, + "learning_rate": 8.31039396177598e-06, + "loss": 0.8666, + "step": 6706 + }, + { + "epoch": 0.57, + "learning_rate": 8.307688542401709e-06, + "loss": 0.9594, + "step": 6707 + }, + { + "epoch": 0.57, + "learning_rate": 8.304983250538676e-06, + "loss": 0.8433, + "step": 6708 + }, + { + "epoch": 0.57, + "learning_rate": 8.302278086390706e-06, + "loss": 0.9098, + "step": 6709 + }, + { + "epoch": 0.57, + "learning_rate": 8.299573050161637e-06, + "loss": 0.9025, + "step": 6710 + }, + { + "epoch": 0.57, + "learning_rate": 8.296868142055278e-06, + "loss": 0.9187, + "step": 6711 + }, + { + "epoch": 0.57, + "learning_rate": 8.294163362275444e-06, + "loss": 0.8992, + "step": 6712 + }, + { + "epoch": 0.57, + "learning_rate": 8.291458711025928e-06, + "loss": 0.8972, + "step": 6713 + }, + { + "epoch": 0.57, + "learning_rate": 8.288754188510516e-06, + "loss": 0.8807, + "step": 6714 + }, + { + "epoch": 0.57, + "learning_rate": 8.286049794932997e-06, + "loss": 0.9012, + "step": 6715 + }, + { + "epoch": 0.57, + "learning_rate": 8.283345530497128e-06, + "loss": 0.8877, + "step": 6716 + }, + { + "epoch": 0.57, + "learning_rate": 8.280641395406676e-06, + "loss": 0.9099, + "step": 6717 + }, + { + "epoch": 0.57, + "learning_rate": 8.277937389865386e-06, + "loss": 0.9058, + "step": 6718 + }, + { + "epoch": 0.57, + "learning_rate": 8.275233514077003e-06, + "loss": 0.9194, + "step": 6719 + }, + { + "epoch": 0.57, + "learning_rate": 8.272529768245251e-06, + "loss": 0.8862, + "step": 6720 + }, + { + "epoch": 0.57, + "learning_rate": 8.269826152573857e-06, + "loss": 0.8736, + "step": 6721 + }, + { + "epoch": 0.57, + "learning_rate": 8.26712266726652e-06, + "loss": 0.9174, + "step": 6722 + }, + { + "epoch": 0.57, + "learning_rate": 8.264419312526955e-06, + "loss": 0.8831, + "step": 6723 + }, + { + "epoch": 0.57, + "learning_rate": 8.261716088558846e-06, + "loss": 0.9388, + "step": 6724 + }, + { + "epoch": 0.57, + "learning_rate": 8.259012995565868e-06, + "loss": 0.893, + "step": 6725 + }, + { + "epoch": 0.57, + "learning_rate": 8.2563100337517e-06, + "loss": 0.522, + "step": 6726 + }, + { + "epoch": 0.57, + "learning_rate": 8.253607203319997e-06, + "loss": 0.8156, + "step": 6727 + }, + { + "epoch": 0.57, + "learning_rate": 8.25090450447442e-06, + "loss": 0.8566, + "step": 6728 + }, + { + "epoch": 0.57, + "learning_rate": 8.248201937418598e-06, + "loss": 0.918, + "step": 6729 + }, + { + "epoch": 0.57, + "learning_rate": 8.245499502356172e-06, + "loss": 0.893, + "step": 6730 + }, + { + "epoch": 0.57, + "learning_rate": 8.242797199490757e-06, + "loss": 0.8465, + "step": 6731 + }, + { + "epoch": 0.57, + "learning_rate": 8.24009502902597e-06, + "loss": 0.9246, + "step": 6732 + }, + { + "epoch": 0.57, + "learning_rate": 8.237392991165407e-06, + "loss": 0.9031, + "step": 6733 + }, + { + "epoch": 0.57, + "learning_rate": 8.234691086112662e-06, + "loss": 0.832, + "step": 6734 + }, + { + "epoch": 0.57, + "learning_rate": 8.231989314071318e-06, + "loss": 0.8708, + "step": 6735 + }, + { + "epoch": 0.57, + "learning_rate": 8.229287675244942e-06, + "loss": 0.9021, + "step": 6736 + }, + { + "epoch": 0.57, + "learning_rate": 8.226586169837103e-06, + "loss": 0.9191, + "step": 6737 + }, + { + "epoch": 0.57, + "learning_rate": 8.223884798051341e-06, + "loss": 0.8644, + "step": 6738 + }, + { + "epoch": 0.57, + "learning_rate": 8.221183560091211e-06, + "loss": 0.9025, + "step": 6739 + }, + { + "epoch": 0.57, + "learning_rate": 8.21848245616023e-06, + "loss": 0.914, + "step": 6740 + }, + { + "epoch": 0.57, + "learning_rate": 8.215781486461933e-06, + "loss": 0.9181, + "step": 6741 + }, + { + "epoch": 0.57, + "learning_rate": 8.213080651199819e-06, + "loss": 0.9163, + "step": 6742 + }, + { + "epoch": 0.57, + "learning_rate": 8.210379950577398e-06, + "loss": 0.8119, + "step": 6743 + }, + { + "epoch": 0.57, + "learning_rate": 8.207679384798159e-06, + "loss": 0.9151, + "step": 6744 + }, + { + "epoch": 0.57, + "learning_rate": 8.204978954065574e-06, + "loss": 0.8468, + "step": 6745 + }, + { + "epoch": 0.57, + "learning_rate": 8.202278658583125e-06, + "loss": 0.9357, + "step": 6746 + }, + { + "epoch": 0.57, + "learning_rate": 8.199578498554262e-06, + "loss": 0.9231, + "step": 6747 + }, + { + "epoch": 0.57, + "learning_rate": 8.196878474182443e-06, + "loss": 0.8673, + "step": 6748 + }, + { + "epoch": 0.57, + "learning_rate": 8.194178585671102e-06, + "loss": 0.8535, + "step": 6749 + }, + { + "epoch": 0.57, + "learning_rate": 8.191478833223675e-06, + "loss": 0.9282, + "step": 6750 + }, + { + "epoch": 0.57, + "learning_rate": 8.188779217043573e-06, + "loss": 0.9023, + "step": 6751 + }, + { + "epoch": 0.57, + "learning_rate": 8.186079737334214e-06, + "loss": 0.912, + "step": 6752 + }, + { + "epoch": 0.57, + "learning_rate": 8.183380394298987e-06, + "loss": 0.9063, + "step": 6753 + }, + { + "epoch": 0.57, + "learning_rate": 8.180681188141292e-06, + "loss": 0.8903, + "step": 6754 + }, + { + "epoch": 0.57, + "learning_rate": 8.177982119064497e-06, + "loss": 0.8636, + "step": 6755 + }, + { + "epoch": 0.57, + "learning_rate": 8.175283187271974e-06, + "loss": 0.8589, + "step": 6756 + }, + { + "epoch": 0.57, + "learning_rate": 8.172584392967078e-06, + "loss": 0.9197, + "step": 6757 + }, + { + "epoch": 0.57, + "learning_rate": 8.169885736353158e-06, + "loss": 0.8761, + "step": 6758 + }, + { + "epoch": 0.57, + "learning_rate": 8.167187217633555e-06, + "loss": 0.8773, + "step": 6759 + }, + { + "epoch": 0.57, + "learning_rate": 8.164488837011585e-06, + "loss": 0.9102, + "step": 6760 + }, + { + "epoch": 0.57, + "learning_rate": 8.161790594690577e-06, + "loss": 0.8945, + "step": 6761 + }, + { + "epoch": 0.57, + "learning_rate": 8.159092490873824e-06, + "loss": 0.8552, + "step": 6762 + }, + { + "epoch": 0.57, + "learning_rate": 8.15639452576463e-06, + "loss": 0.889, + "step": 6763 + }, + { + "epoch": 0.57, + "learning_rate": 8.153696699566272e-06, + "loss": 0.9375, + "step": 6764 + }, + { + "epoch": 0.57, + "learning_rate": 8.150999012482031e-06, + "loss": 0.8537, + "step": 6765 + }, + { + "epoch": 0.57, + "learning_rate": 8.14830146471517e-06, + "loss": 0.8763, + "step": 6766 + }, + { + "epoch": 0.57, + "learning_rate": 8.145604056468935e-06, + "loss": 0.8975, + "step": 6767 + }, + { + "epoch": 0.57, + "learning_rate": 8.142906787946578e-06, + "loss": 0.8958, + "step": 6768 + }, + { + "epoch": 0.57, + "learning_rate": 8.140209659351322e-06, + "loss": 0.8762, + "step": 6769 + }, + { + "epoch": 0.57, + "learning_rate": 8.137512670886397e-06, + "loss": 0.8852, + "step": 6770 + }, + { + "epoch": 0.57, + "learning_rate": 8.134815822755008e-06, + "loss": 0.893, + "step": 6771 + }, + { + "epoch": 0.57, + "learning_rate": 8.13211911516036e-06, + "loss": 0.911, + "step": 6772 + }, + { + "epoch": 0.57, + "learning_rate": 8.129422548305637e-06, + "loss": 0.8774, + "step": 6773 + }, + { + "epoch": 0.57, + "learning_rate": 8.126726122394027e-06, + "loss": 0.8893, + "step": 6774 + }, + { + "epoch": 0.57, + "learning_rate": 8.124029837628691e-06, + "loss": 0.8588, + "step": 6775 + }, + { + "epoch": 0.57, + "learning_rate": 8.12133369421279e-06, + "loss": 0.8858, + "step": 6776 + }, + { + "epoch": 0.57, + "learning_rate": 8.118637692349468e-06, + "loss": 0.8813, + "step": 6777 + }, + { + "epoch": 0.57, + "learning_rate": 8.115941832241867e-06, + "loss": 0.8366, + "step": 6778 + }, + { + "epoch": 0.57, + "learning_rate": 8.11324611409311e-06, + "loss": 0.895, + "step": 6779 + }, + { + "epoch": 0.57, + "learning_rate": 8.11055053810631e-06, + "loss": 0.9122, + "step": 6780 + }, + { + "epoch": 0.57, + "learning_rate": 8.10785510448458e-06, + "loss": 0.8748, + "step": 6781 + }, + { + "epoch": 0.57, + "learning_rate": 8.105159813431002e-06, + "loss": 0.8632, + "step": 6782 + }, + { + "epoch": 0.57, + "learning_rate": 8.10246466514867e-06, + "loss": 0.8983, + "step": 6783 + }, + { + "epoch": 0.57, + "learning_rate": 8.099769659840648e-06, + "loss": 0.8664, + "step": 6784 + }, + { + "epoch": 0.58, + "learning_rate": 8.097074797710007e-06, + "loss": 0.8485, + "step": 6785 + }, + { + "epoch": 0.58, + "learning_rate": 8.09438007895979e-06, + "loss": 0.8774, + "step": 6786 + }, + { + "epoch": 0.58, + "learning_rate": 8.091685503793035e-06, + "loss": 0.5633, + "step": 6787 + }, + { + "epoch": 0.58, + "learning_rate": 8.08899107241278e-06, + "loss": 0.8586, + "step": 6788 + }, + { + "epoch": 0.58, + "learning_rate": 8.086296785022034e-06, + "loss": 0.8634, + "step": 6789 + }, + { + "epoch": 0.58, + "learning_rate": 8.083602641823814e-06, + "loss": 0.8885, + "step": 6790 + }, + { + "epoch": 0.58, + "learning_rate": 8.080908643021107e-06, + "loss": 0.8835, + "step": 6791 + }, + { + "epoch": 0.58, + "learning_rate": 8.078214788816906e-06, + "loss": 0.8691, + "step": 6792 + }, + { + "epoch": 0.58, + "learning_rate": 8.075521079414182e-06, + "loss": 0.8751, + "step": 6793 + }, + { + "epoch": 0.58, + "learning_rate": 8.072827515015902e-06, + "loss": 0.8834, + "step": 6794 + }, + { + "epoch": 0.58, + "learning_rate": 8.070134095825016e-06, + "loss": 0.8611, + "step": 6795 + }, + { + "epoch": 0.58, + "learning_rate": 8.06744082204447e-06, + "loss": 0.949, + "step": 6796 + }, + { + "epoch": 0.58, + "learning_rate": 8.06474769387719e-06, + "loss": 0.9072, + "step": 6797 + }, + { + "epoch": 0.58, + "learning_rate": 8.062054711526098e-06, + "loss": 0.8964, + "step": 6798 + }, + { + "epoch": 0.58, + "learning_rate": 8.059361875194105e-06, + "loss": 0.8945, + "step": 6799 + }, + { + "epoch": 0.58, + "learning_rate": 8.056669185084108e-06, + "loss": 0.8851, + "step": 6800 + }, + { + "epoch": 0.58, + "learning_rate": 8.053976641398993e-06, + "loss": 0.9194, + "step": 6801 + }, + { + "epoch": 0.58, + "learning_rate": 8.051284244341636e-06, + "loss": 0.8318, + "step": 6802 + }, + { + "epoch": 0.58, + "learning_rate": 8.048591994114906e-06, + "loss": 0.8937, + "step": 6803 + }, + { + "epoch": 0.58, + "learning_rate": 8.045899890921652e-06, + "loss": 0.8984, + "step": 6804 + }, + { + "epoch": 0.58, + "learning_rate": 8.043207934964722e-06, + "loss": 0.8679, + "step": 6805 + }, + { + "epoch": 0.58, + "learning_rate": 8.04051612644694e-06, + "loss": 0.8607, + "step": 6806 + }, + { + "epoch": 0.58, + "learning_rate": 8.037824465571138e-06, + "loss": 0.9235, + "step": 6807 + }, + { + "epoch": 0.58, + "learning_rate": 8.035132952540118e-06, + "loss": 0.5445, + "step": 6808 + }, + { + "epoch": 0.58, + "learning_rate": 8.032441587556676e-06, + "loss": 0.8976, + "step": 6809 + }, + { + "epoch": 0.58, + "learning_rate": 8.029750370823606e-06, + "loss": 0.8892, + "step": 6810 + }, + { + "epoch": 0.58, + "learning_rate": 8.027059302543678e-06, + "loss": 0.8568, + "step": 6811 + }, + { + "epoch": 0.58, + "learning_rate": 8.024368382919665e-06, + "loss": 0.8673, + "step": 6812 + }, + { + "epoch": 0.58, + "learning_rate": 8.021677612154311e-06, + "loss": 0.8807, + "step": 6813 + }, + { + "epoch": 0.58, + "learning_rate": 8.018986990450368e-06, + "loss": 0.8867, + "step": 6814 + }, + { + "epoch": 0.58, + "learning_rate": 8.016296518010558e-06, + "loss": 0.8607, + "step": 6815 + }, + { + "epoch": 0.58, + "learning_rate": 8.01360619503761e-06, + "loss": 0.8374, + "step": 6816 + }, + { + "epoch": 0.58, + "learning_rate": 8.010916021734225e-06, + "loss": 0.9095, + "step": 6817 + }, + { + "epoch": 0.58, + "learning_rate": 8.008225998303107e-06, + "loss": 0.913, + "step": 6818 + }, + { + "epoch": 0.58, + "learning_rate": 8.005536124946936e-06, + "loss": 0.8323, + "step": 6819 + }, + { + "epoch": 0.58, + "learning_rate": 8.002846401868392e-06, + "loss": 0.9046, + "step": 6820 + }, + { + "epoch": 0.58, + "learning_rate": 8.000156829270136e-06, + "loss": 0.8745, + "step": 6821 + }, + { + "epoch": 0.58, + "learning_rate": 7.997467407354821e-06, + "loss": 0.9133, + "step": 6822 + }, + { + "epoch": 0.58, + "learning_rate": 7.994778136325089e-06, + "loss": 0.8815, + "step": 6823 + }, + { + "epoch": 0.58, + "learning_rate": 7.992089016383565e-06, + "loss": 0.8675, + "step": 6824 + }, + { + "epoch": 0.58, + "learning_rate": 7.989400047732875e-06, + "loss": 0.8773, + "step": 6825 + }, + { + "epoch": 0.58, + "learning_rate": 7.986711230575617e-06, + "loss": 0.8732, + "step": 6826 + }, + { + "epoch": 0.58, + "learning_rate": 7.984022565114396e-06, + "loss": 0.8969, + "step": 6827 + }, + { + "epoch": 0.58, + "learning_rate": 7.981334051551788e-06, + "loss": 0.9064, + "step": 6828 + }, + { + "epoch": 0.58, + "learning_rate": 7.978645690090365e-06, + "loss": 0.8895, + "step": 6829 + }, + { + "epoch": 0.58, + "learning_rate": 7.975957480932695e-06, + "loss": 0.9014, + "step": 6830 + }, + { + "epoch": 0.58, + "learning_rate": 7.97326942428132e-06, + "loss": 0.8981, + "step": 6831 + }, + { + "epoch": 0.58, + "learning_rate": 7.970581520338785e-06, + "loss": 0.818, + "step": 6832 + }, + { + "epoch": 0.58, + "learning_rate": 7.967893769307608e-06, + "loss": 0.879, + "step": 6833 + }, + { + "epoch": 0.58, + "learning_rate": 7.965206171390315e-06, + "loss": 0.8692, + "step": 6834 + }, + { + "epoch": 0.58, + "learning_rate": 7.962518726789397e-06, + "loss": 0.8942, + "step": 6835 + }, + { + "epoch": 0.58, + "learning_rate": 7.959831435707357e-06, + "loss": 0.8718, + "step": 6836 + }, + { + "epoch": 0.58, + "learning_rate": 7.957144298346667e-06, + "loss": 0.915, + "step": 6837 + }, + { + "epoch": 0.58, + "learning_rate": 7.954457314909805e-06, + "loss": 0.8862, + "step": 6838 + }, + { + "epoch": 0.58, + "learning_rate": 7.951770485599218e-06, + "loss": 0.9123, + "step": 6839 + }, + { + "epoch": 0.58, + "learning_rate": 7.949083810617358e-06, + "loss": 0.8695, + "step": 6840 + }, + { + "epoch": 0.58, + "learning_rate": 7.946397290166655e-06, + "loss": 0.8514, + "step": 6841 + }, + { + "epoch": 0.58, + "learning_rate": 7.943710924449535e-06, + "loss": 0.8747, + "step": 6842 + }, + { + "epoch": 0.58, + "learning_rate": 7.941024713668406e-06, + "loss": 0.882, + "step": 6843 + }, + { + "epoch": 0.58, + "learning_rate": 7.938338658025669e-06, + "loss": 0.9127, + "step": 6844 + }, + { + "epoch": 0.58, + "learning_rate": 7.935652757723709e-06, + "loss": 0.8247, + "step": 6845 + }, + { + "epoch": 0.58, + "learning_rate": 7.932967012964901e-06, + "loss": 0.8692, + "step": 6846 + }, + { + "epoch": 0.58, + "learning_rate": 7.930281423951615e-06, + "loss": 0.9225, + "step": 6847 + }, + { + "epoch": 0.58, + "learning_rate": 7.927595990886194e-06, + "loss": 0.8959, + "step": 6848 + }, + { + "epoch": 0.58, + "learning_rate": 7.924910713970986e-06, + "loss": 0.8876, + "step": 6849 + }, + { + "epoch": 0.58, + "learning_rate": 7.922225593408318e-06, + "loss": 0.8625, + "step": 6850 + }, + { + "epoch": 0.58, + "learning_rate": 7.9195406294005e-06, + "loss": 0.8288, + "step": 6851 + }, + { + "epoch": 0.58, + "learning_rate": 7.916855822149847e-06, + "loss": 0.8066, + "step": 6852 + }, + { + "epoch": 0.58, + "learning_rate": 7.914171171858645e-06, + "loss": 0.8565, + "step": 6853 + }, + { + "epoch": 0.58, + "learning_rate": 7.91148667872918e-06, + "loss": 0.8799, + "step": 6854 + }, + { + "epoch": 0.58, + "learning_rate": 7.908802342963715e-06, + "loss": 0.8579, + "step": 6855 + }, + { + "epoch": 0.58, + "learning_rate": 7.906118164764518e-06, + "loss": 0.9065, + "step": 6856 + }, + { + "epoch": 0.58, + "learning_rate": 7.903434144333824e-06, + "loss": 0.8953, + "step": 6857 + }, + { + "epoch": 0.58, + "learning_rate": 7.900750281873875e-06, + "loss": 0.9069, + "step": 6858 + }, + { + "epoch": 0.58, + "learning_rate": 7.89806657758689e-06, + "loss": 0.9001, + "step": 6859 + }, + { + "epoch": 0.58, + "learning_rate": 7.895383031675074e-06, + "loss": 0.9283, + "step": 6860 + }, + { + "epoch": 0.58, + "learning_rate": 7.892699644340633e-06, + "loss": 0.8995, + "step": 6861 + }, + { + "epoch": 0.58, + "learning_rate": 7.89001641578575e-06, + "loss": 0.8886, + "step": 6862 + }, + { + "epoch": 0.58, + "learning_rate": 7.8873333462126e-06, + "loss": 0.8752, + "step": 6863 + }, + { + "epoch": 0.58, + "learning_rate": 7.884650435823345e-06, + "loss": 0.8791, + "step": 6864 + }, + { + "epoch": 0.58, + "learning_rate": 7.881967684820134e-06, + "loss": 0.9316, + "step": 6865 + }, + { + "epoch": 0.58, + "learning_rate": 7.879285093405105e-06, + "loss": 0.912, + "step": 6866 + }, + { + "epoch": 0.58, + "learning_rate": 7.876602661780386e-06, + "loss": 0.8724, + "step": 6867 + }, + { + "epoch": 0.58, + "learning_rate": 7.873920390148089e-06, + "loss": 0.861, + "step": 6868 + }, + { + "epoch": 0.58, + "learning_rate": 7.871238278710322e-06, + "loss": 0.8284, + "step": 6869 + }, + { + "epoch": 0.58, + "learning_rate": 7.868556327669172e-06, + "loss": 0.9218, + "step": 6870 + }, + { + "epoch": 0.58, + "learning_rate": 7.865874537226709e-06, + "loss": 0.8714, + "step": 6871 + }, + { + "epoch": 0.58, + "learning_rate": 7.863192907585013e-06, + "loss": 0.8821, + "step": 6872 + }, + { + "epoch": 0.58, + "learning_rate": 7.860511438946123e-06, + "loss": 0.8603, + "step": 6873 + }, + { + "epoch": 0.58, + "learning_rate": 7.857830131512094e-06, + "loss": 0.8484, + "step": 6874 + }, + { + "epoch": 0.58, + "learning_rate": 7.855148985484946e-06, + "loss": 0.9521, + "step": 6875 + }, + { + "epoch": 0.58, + "learning_rate": 7.852468001066703e-06, + "loss": 0.8559, + "step": 6876 + }, + { + "epoch": 0.58, + "learning_rate": 7.849787178459363e-06, + "loss": 0.9254, + "step": 6877 + }, + { + "epoch": 0.58, + "learning_rate": 7.847106517864927e-06, + "loss": 0.8666, + "step": 6878 + }, + { + "epoch": 0.58, + "learning_rate": 7.844426019485368e-06, + "loss": 0.8967, + "step": 6879 + }, + { + "epoch": 0.58, + "learning_rate": 7.841745683522662e-06, + "loss": 0.9151, + "step": 6880 + }, + { + "epoch": 0.58, + "learning_rate": 7.839065510178763e-06, + "loss": 0.8457, + "step": 6881 + }, + { + "epoch": 0.58, + "learning_rate": 7.836385499655607e-06, + "loss": 0.847, + "step": 6882 + }, + { + "epoch": 0.58, + "learning_rate": 7.833705652155136e-06, + "loss": 0.8427, + "step": 6883 + }, + { + "epoch": 0.58, + "learning_rate": 7.831025967879265e-06, + "loss": 0.9019, + "step": 6884 + }, + { + "epoch": 0.58, + "learning_rate": 7.828346447029903e-06, + "loss": 0.8856, + "step": 6885 + }, + { + "epoch": 0.58, + "learning_rate": 7.825667089808943e-06, + "loss": 0.8809, + "step": 6886 + }, + { + "epoch": 0.58, + "learning_rate": 7.822987896418269e-06, + "loss": 0.8553, + "step": 6887 + }, + { + "epoch": 0.58, + "learning_rate": 7.820308867059751e-06, + "loss": 0.9009, + "step": 6888 + }, + { + "epoch": 0.58, + "learning_rate": 7.817630001935247e-06, + "loss": 0.9098, + "step": 6889 + }, + { + "epoch": 0.58, + "learning_rate": 7.814951301246597e-06, + "loss": 0.886, + "step": 6890 + }, + { + "epoch": 0.58, + "learning_rate": 7.812272765195646e-06, + "loss": 0.8735, + "step": 6891 + }, + { + "epoch": 0.58, + "learning_rate": 7.809594393984207e-06, + "loss": 0.8794, + "step": 6892 + }, + { + "epoch": 0.58, + "learning_rate": 7.806916187814084e-06, + "loss": 0.8875, + "step": 6893 + }, + { + "epoch": 0.58, + "learning_rate": 7.804238146887081e-06, + "loss": 0.9153, + "step": 6894 + }, + { + "epoch": 0.58, + "learning_rate": 7.801560271404976e-06, + "loss": 0.9078, + "step": 6895 + }, + { + "epoch": 0.58, + "learning_rate": 7.798882561569546e-06, + "loss": 0.8918, + "step": 6896 + }, + { + "epoch": 0.58, + "learning_rate": 7.796205017582541e-06, + "loss": 0.9589, + "step": 6897 + }, + { + "epoch": 0.58, + "learning_rate": 7.793527639645715e-06, + "loss": 0.9059, + "step": 6898 + }, + { + "epoch": 0.58, + "learning_rate": 7.790850427960795e-06, + "loss": 0.8232, + "step": 6899 + }, + { + "epoch": 0.58, + "learning_rate": 7.788173382729507e-06, + "loss": 0.9151, + "step": 6900 + }, + { + "epoch": 0.58, + "learning_rate": 7.785496504153557e-06, + "loss": 0.8986, + "step": 6901 + }, + { + "epoch": 0.58, + "learning_rate": 7.782819792434638e-06, + "loss": 0.8922, + "step": 6902 + }, + { + "epoch": 0.59, + "learning_rate": 7.78014324777444e-06, + "loss": 0.8655, + "step": 6903 + }, + { + "epoch": 0.59, + "learning_rate": 7.777466870374624e-06, + "loss": 0.8656, + "step": 6904 + }, + { + "epoch": 0.59, + "learning_rate": 7.774790660436857e-06, + "loss": 0.9239, + "step": 6905 + }, + { + "epoch": 0.59, + "learning_rate": 7.772114618162781e-06, + "loss": 0.9129, + "step": 6906 + }, + { + "epoch": 0.59, + "learning_rate": 7.769438743754028e-06, + "loss": 0.8969, + "step": 6907 + }, + { + "epoch": 0.59, + "learning_rate": 7.766763037412219e-06, + "loss": 0.8959, + "step": 6908 + }, + { + "epoch": 0.59, + "learning_rate": 7.764087499338962e-06, + "loss": 0.8998, + "step": 6909 + }, + { + "epoch": 0.59, + "learning_rate": 7.761412129735853e-06, + "loss": 0.9163, + "step": 6910 + }, + { + "epoch": 0.59, + "learning_rate": 7.758736928804469e-06, + "loss": 0.9052, + "step": 6911 + }, + { + "epoch": 0.59, + "learning_rate": 7.756061896746387e-06, + "loss": 0.8933, + "step": 6912 + }, + { + "epoch": 0.59, + "learning_rate": 7.753387033763154e-06, + "loss": 0.8743, + "step": 6913 + }, + { + "epoch": 0.59, + "learning_rate": 7.750712340056323e-06, + "loss": 0.8784, + "step": 6914 + }, + { + "epoch": 0.59, + "learning_rate": 7.748037815827417e-06, + "loss": 0.944, + "step": 6915 + }, + { + "epoch": 0.59, + "learning_rate": 7.745363461277964e-06, + "loss": 0.9195, + "step": 6916 + }, + { + "epoch": 0.59, + "learning_rate": 7.742689276609459e-06, + "loss": 0.9149, + "step": 6917 + }, + { + "epoch": 0.59, + "learning_rate": 7.740015262023406e-06, + "loss": 0.9036, + "step": 6918 + }, + { + "epoch": 0.59, + "learning_rate": 7.737341417721274e-06, + "loss": 0.852, + "step": 6919 + }, + { + "epoch": 0.59, + "learning_rate": 7.73466774390454e-06, + "loss": 0.9202, + "step": 6920 + }, + { + "epoch": 0.59, + "learning_rate": 7.731994240774648e-06, + "loss": 0.8627, + "step": 6921 + }, + { + "epoch": 0.59, + "learning_rate": 7.72932090853305e-06, + "loss": 0.9132, + "step": 6922 + }, + { + "epoch": 0.59, + "learning_rate": 7.726647747381171e-06, + "loss": 0.915, + "step": 6923 + }, + { + "epoch": 0.59, + "learning_rate": 7.723974757520421e-06, + "loss": 0.8954, + "step": 6924 + }, + { + "epoch": 0.59, + "learning_rate": 7.72130193915221e-06, + "loss": 0.8045, + "step": 6925 + }, + { + "epoch": 0.59, + "learning_rate": 7.71862929247792e-06, + "loss": 0.8721, + "step": 6926 + }, + { + "epoch": 0.59, + "learning_rate": 7.715956817698938e-06, + "loss": 0.9459, + "step": 6927 + }, + { + "epoch": 0.59, + "learning_rate": 7.71328451501662e-06, + "loss": 0.898, + "step": 6928 + }, + { + "epoch": 0.59, + "learning_rate": 7.710612384632321e-06, + "loss": 0.8787, + "step": 6929 + }, + { + "epoch": 0.59, + "learning_rate": 7.707940426747378e-06, + "loss": 0.8896, + "step": 6930 + }, + { + "epoch": 0.59, + "learning_rate": 7.705268641563115e-06, + "loss": 0.5336, + "step": 6931 + }, + { + "epoch": 0.59, + "learning_rate": 7.702597029280848e-06, + "loss": 0.8868, + "step": 6932 + }, + { + "epoch": 0.59, + "learning_rate": 7.699925590101868e-06, + "loss": 0.9029, + "step": 6933 + }, + { + "epoch": 0.59, + "learning_rate": 7.697254324227472e-06, + "loss": 0.9112, + "step": 6934 + }, + { + "epoch": 0.59, + "learning_rate": 7.694583231858921e-06, + "loss": 0.8916, + "step": 6935 + }, + { + "epoch": 0.59, + "learning_rate": 7.691912313197484e-06, + "loss": 0.9, + "step": 6936 + }, + { + "epoch": 0.59, + "learning_rate": 7.689241568444402e-06, + "loss": 0.874, + "step": 6937 + }, + { + "epoch": 0.59, + "learning_rate": 7.686570997800914e-06, + "loss": 0.8862, + "step": 6938 + }, + { + "epoch": 0.59, + "learning_rate": 7.683900601468232e-06, + "loss": 0.8879, + "step": 6939 + }, + { + "epoch": 0.59, + "learning_rate": 7.681230379647576e-06, + "loss": 0.8872, + "step": 6940 + }, + { + "epoch": 0.59, + "learning_rate": 7.678560332540126e-06, + "loss": 0.8549, + "step": 6941 + }, + { + "epoch": 0.59, + "learning_rate": 7.675890460347075e-06, + "loss": 0.8696, + "step": 6942 + }, + { + "epoch": 0.59, + "learning_rate": 7.673220763269586e-06, + "loss": 0.9088, + "step": 6943 + }, + { + "epoch": 0.59, + "learning_rate": 7.670551241508809e-06, + "loss": 0.8826, + "step": 6944 + }, + { + "epoch": 0.59, + "learning_rate": 7.667881895265895e-06, + "loss": 0.8449, + "step": 6945 + }, + { + "epoch": 0.59, + "learning_rate": 7.665212724741961e-06, + "loss": 0.8825, + "step": 6946 + }, + { + "epoch": 0.59, + "learning_rate": 7.662543730138136e-06, + "loss": 0.862, + "step": 6947 + }, + { + "epoch": 0.59, + "learning_rate": 7.659874911655506e-06, + "loss": 0.8928, + "step": 6948 + }, + { + "epoch": 0.59, + "learning_rate": 7.657206269495172e-06, + "loss": 0.9237, + "step": 6949 + }, + { + "epoch": 0.59, + "learning_rate": 7.654537803858205e-06, + "loss": 0.8759, + "step": 6950 + }, + { + "epoch": 0.59, + "learning_rate": 7.651869514945666e-06, + "loss": 0.8809, + "step": 6951 + }, + { + "epoch": 0.59, + "learning_rate": 7.649201402958603e-06, + "loss": 0.8815, + "step": 6952 + }, + { + "epoch": 0.59, + "learning_rate": 7.646533468098054e-06, + "loss": 0.8945, + "step": 6953 + }, + { + "epoch": 0.59, + "learning_rate": 7.64386571056504e-06, + "loss": 0.8668, + "step": 6954 + }, + { + "epoch": 0.59, + "learning_rate": 7.641198130560566e-06, + "loss": 0.9125, + "step": 6955 + }, + { + "epoch": 0.59, + "learning_rate": 7.638530728285633e-06, + "loss": 0.8542, + "step": 6956 + }, + { + "epoch": 0.59, + "learning_rate": 7.635863503941217e-06, + "loss": 0.9228, + "step": 6957 + }, + { + "epoch": 0.59, + "learning_rate": 7.633196457728291e-06, + "loss": 0.8861, + "step": 6958 + }, + { + "epoch": 0.59, + "learning_rate": 7.630529589847807e-06, + "loss": 0.877, + "step": 6959 + }, + { + "epoch": 0.59, + "learning_rate": 7.627862900500709e-06, + "loss": 0.9052, + "step": 6960 + }, + { + "epoch": 0.59, + "learning_rate": 7.62519638988792e-06, + "loss": 0.8844, + "step": 6961 + }, + { + "epoch": 0.59, + "learning_rate": 7.622530058210363e-06, + "loss": 0.5227, + "step": 6962 + }, + { + "epoch": 0.59, + "learning_rate": 7.619863905668929e-06, + "loss": 0.925, + "step": 6963 + }, + { + "epoch": 0.59, + "learning_rate": 7.617197932464517e-06, + "loss": 0.8794, + "step": 6964 + }, + { + "epoch": 0.59, + "learning_rate": 7.614532138797994e-06, + "loss": 0.8919, + "step": 6965 + }, + { + "epoch": 0.59, + "learning_rate": 7.611866524870217e-06, + "loss": 0.9462, + "step": 6966 + }, + { + "epoch": 0.59, + "learning_rate": 7.609201090882044e-06, + "loss": 0.9049, + "step": 6967 + }, + { + "epoch": 0.59, + "learning_rate": 7.606535837034295e-06, + "loss": 0.8764, + "step": 6968 + }, + { + "epoch": 0.59, + "learning_rate": 7.6038707635278016e-06, + "loss": 0.9203, + "step": 6969 + }, + { + "epoch": 0.59, + "learning_rate": 7.601205870563363e-06, + "loss": 0.846, + "step": 6970 + }, + { + "epoch": 0.59, + "learning_rate": 7.598541158341774e-06, + "loss": 0.9189, + "step": 6971 + }, + { + "epoch": 0.59, + "learning_rate": 7.595876627063816e-06, + "loss": 0.9495, + "step": 6972 + }, + { + "epoch": 0.59, + "learning_rate": 7.593212276930253e-06, + "loss": 0.8884, + "step": 6973 + }, + { + "epoch": 0.59, + "learning_rate": 7.5905481081418365e-06, + "loss": 0.8603, + "step": 6974 + }, + { + "epoch": 0.59, + "learning_rate": 7.5878841208993015e-06, + "loss": 0.8911, + "step": 6975 + }, + { + "epoch": 0.59, + "learning_rate": 7.585220315403379e-06, + "loss": 0.8966, + "step": 6976 + }, + { + "epoch": 0.59, + "learning_rate": 7.582556691854772e-06, + "loss": 0.9217, + "step": 6977 + }, + { + "epoch": 0.59, + "learning_rate": 7.579893250454186e-06, + "loss": 0.8467, + "step": 6978 + }, + { + "epoch": 0.59, + "learning_rate": 7.577229991402295e-06, + "loss": 0.8927, + "step": 6979 + }, + { + "epoch": 0.59, + "learning_rate": 7.574566914899779e-06, + "loss": 0.9066, + "step": 6980 + }, + { + "epoch": 0.59, + "learning_rate": 7.571904021147284e-06, + "loss": 0.8905, + "step": 6981 + }, + { + "epoch": 0.59, + "learning_rate": 7.5692413103454594e-06, + "loss": 0.8503, + "step": 6982 + }, + { + "epoch": 0.59, + "learning_rate": 7.566578782694928e-06, + "loss": 0.9048, + "step": 6983 + }, + { + "epoch": 0.59, + "learning_rate": 7.56391643839631e-06, + "loss": 0.8947, + "step": 6984 + }, + { + "epoch": 0.59, + "learning_rate": 7.561254277650204e-06, + "loss": 0.8699, + "step": 6985 + }, + { + "epoch": 0.59, + "learning_rate": 7.55859230065719e-06, + "loss": 0.9319, + "step": 6986 + }, + { + "epoch": 0.59, + "learning_rate": 7.555930507617853e-06, + "loss": 0.906, + "step": 6987 + }, + { + "epoch": 0.59, + "learning_rate": 7.553268898732741e-06, + "loss": 0.8972, + "step": 6988 + }, + { + "epoch": 0.59, + "learning_rate": 7.550607474202407e-06, + "loss": 0.9192, + "step": 6989 + }, + { + "epoch": 0.59, + "learning_rate": 7.547946234227377e-06, + "loss": 0.8752, + "step": 6990 + }, + { + "epoch": 0.59, + "learning_rate": 7.545285179008175e-06, + "loss": 0.9212, + "step": 6991 + }, + { + "epoch": 0.59, + "learning_rate": 7.542624308745294e-06, + "loss": 0.9106, + "step": 6992 + }, + { + "epoch": 0.59, + "learning_rate": 7.539963623639235e-06, + "loss": 0.5051, + "step": 6993 + }, + { + "epoch": 0.59, + "learning_rate": 7.537303123890467e-06, + "loss": 0.8784, + "step": 6994 + }, + { + "epoch": 0.59, + "learning_rate": 7.534642809699455e-06, + "loss": 0.82, + "step": 6995 + }, + { + "epoch": 0.59, + "learning_rate": 7.531982681266645e-06, + "loss": 0.8828, + "step": 6996 + }, + { + "epoch": 0.59, + "learning_rate": 7.529322738792468e-06, + "loss": 0.9055, + "step": 6997 + }, + { + "epoch": 0.59, + "learning_rate": 7.5266629824773506e-06, + "loss": 0.8643, + "step": 6998 + }, + { + "epoch": 0.59, + "learning_rate": 7.524003412521691e-06, + "loss": 0.9327, + "step": 6999 + }, + { + "epoch": 0.59, + "learning_rate": 7.5213440291258876e-06, + "loss": 0.9101, + "step": 7000 + }, + { + "epoch": 0.59, + "learning_rate": 7.518684832490311e-06, + "loss": 0.9154, + "step": 7001 + }, + { + "epoch": 0.59, + "learning_rate": 7.516025822815331e-06, + "loss": 0.8769, + "step": 7002 + }, + { + "epoch": 0.59, + "learning_rate": 7.51336700030129e-06, + "loss": 0.9098, + "step": 7003 + }, + { + "epoch": 0.59, + "learning_rate": 7.510708365148534e-06, + "loss": 0.8941, + "step": 7004 + }, + { + "epoch": 0.59, + "learning_rate": 7.508049917557372e-06, + "loss": 0.9226, + "step": 7005 + }, + { + "epoch": 0.59, + "learning_rate": 7.50539165772812e-06, + "loss": 0.9055, + "step": 7006 + }, + { + "epoch": 0.59, + "learning_rate": 7.50273358586107e-06, + "loss": 0.8931, + "step": 7007 + }, + { + "epoch": 0.59, + "learning_rate": 7.500075702156493e-06, + "loss": 0.8546, + "step": 7008 + }, + { + "epoch": 0.59, + "learning_rate": 7.497418006814664e-06, + "loss": 0.8586, + "step": 7009 + }, + { + "epoch": 0.59, + "learning_rate": 7.494760500035824e-06, + "loss": 0.9121, + "step": 7010 + }, + { + "epoch": 0.59, + "learning_rate": 7.4921031820202175e-06, + "loss": 0.9145, + "step": 7011 + }, + { + "epoch": 0.59, + "learning_rate": 7.489446052968059e-06, + "loss": 0.9319, + "step": 7012 + }, + { + "epoch": 0.59, + "learning_rate": 7.4867891130795625e-06, + "loss": 0.9137, + "step": 7013 + }, + { + "epoch": 0.59, + "learning_rate": 7.484132362554915e-06, + "loss": 0.9158, + "step": 7014 + }, + { + "epoch": 0.59, + "learning_rate": 7.481475801594302e-06, + "loss": 0.8822, + "step": 7015 + }, + { + "epoch": 0.59, + "learning_rate": 7.478819430397888e-06, + "loss": 0.5841, + "step": 7016 + }, + { + "epoch": 0.59, + "learning_rate": 7.476163249165817e-06, + "loss": 0.9208, + "step": 7017 + }, + { + "epoch": 0.59, + "learning_rate": 7.473507258098235e-06, + "loss": 0.8606, + "step": 7018 + }, + { + "epoch": 0.59, + "learning_rate": 7.470851457395254e-06, + "loss": 0.8421, + "step": 7019 + }, + { + "epoch": 0.59, + "learning_rate": 7.46819584725699e-06, + "loss": 0.8859, + "step": 7020 + }, + { + "epoch": 0.6, + "learning_rate": 7.465540427883528e-06, + "loss": 0.8671, + "step": 7021 + }, + { + "epoch": 0.6, + "learning_rate": 7.462885199474956e-06, + "loss": 0.9281, + "step": 7022 + }, + { + "epoch": 0.6, + "learning_rate": 7.46023016223133e-06, + "loss": 0.8157, + "step": 7023 + }, + { + "epoch": 0.6, + "learning_rate": 7.457575316352707e-06, + "loss": 0.8561, + "step": 7024 + }, + { + "epoch": 0.6, + "learning_rate": 7.454920662039118e-06, + "loss": 0.8884, + "step": 7025 + }, + { + "epoch": 0.6, + "learning_rate": 7.452266199490588e-06, + "loss": 0.885, + "step": 7026 + }, + { + "epoch": 0.6, + "learning_rate": 7.449611928907123e-06, + "loss": 0.8178, + "step": 7027 + }, + { + "epoch": 0.6, + "learning_rate": 7.4469578504887094e-06, + "loss": 0.8709, + "step": 7028 + }, + { + "epoch": 0.6, + "learning_rate": 7.444303964435333e-06, + "loss": 0.8376, + "step": 7029 + }, + { + "epoch": 0.6, + "learning_rate": 7.441650270946952e-06, + "loss": 0.883, + "step": 7030 + }, + { + "epoch": 0.6, + "learning_rate": 7.43899677022352e-06, + "loss": 0.8963, + "step": 7031 + }, + { + "epoch": 0.6, + "learning_rate": 7.436343462464963e-06, + "loss": 0.9103, + "step": 7032 + }, + { + "epoch": 0.6, + "learning_rate": 7.433690347871213e-06, + "loss": 0.9166, + "step": 7033 + }, + { + "epoch": 0.6, + "learning_rate": 7.4310374266421625e-06, + "loss": 0.5351, + "step": 7034 + }, + { + "epoch": 0.6, + "learning_rate": 7.428384698977713e-06, + "loss": 0.8659, + "step": 7035 + }, + { + "epoch": 0.6, + "learning_rate": 7.425732165077733e-06, + "loss": 0.8829, + "step": 7036 + }, + { + "epoch": 0.6, + "learning_rate": 7.4230798251420865e-06, + "loss": 0.8974, + "step": 7037 + }, + { + "epoch": 0.6, + "learning_rate": 7.420427679370623e-06, + "loss": 0.5814, + "step": 7038 + }, + { + "epoch": 0.6, + "learning_rate": 7.417775727963169e-06, + "loss": 0.8837, + "step": 7039 + }, + { + "epoch": 0.6, + "learning_rate": 7.415123971119549e-06, + "loss": 0.855, + "step": 7040 + }, + { + "epoch": 0.6, + "learning_rate": 7.41247240903956e-06, + "loss": 0.8345, + "step": 7041 + }, + { + "epoch": 0.6, + "learning_rate": 7.409821041922993e-06, + "loss": 0.852, + "step": 7042 + }, + { + "epoch": 0.6, + "learning_rate": 7.40716986996962e-06, + "loss": 0.9054, + "step": 7043 + }, + { + "epoch": 0.6, + "learning_rate": 7.404518893379205e-06, + "loss": 0.8653, + "step": 7044 + }, + { + "epoch": 0.6, + "learning_rate": 7.401868112351482e-06, + "loss": 0.9457, + "step": 7045 + }, + { + "epoch": 0.6, + "learning_rate": 7.399217527086192e-06, + "loss": 0.8488, + "step": 7046 + }, + { + "epoch": 0.6, + "learning_rate": 7.39656713778304e-06, + "loss": 0.872, + "step": 7047 + }, + { + "epoch": 0.6, + "learning_rate": 7.393916944641734e-06, + "loss": 0.8491, + "step": 7048 + }, + { + "epoch": 0.6, + "learning_rate": 7.3912669478619555e-06, + "loss": 0.9295, + "step": 7049 + }, + { + "epoch": 0.6, + "learning_rate": 7.388617147643371e-06, + "loss": 0.5206, + "step": 7050 + }, + { + "epoch": 0.6, + "learning_rate": 7.385967544185642e-06, + "loss": 0.5117, + "step": 7051 + }, + { + "epoch": 0.6, + "learning_rate": 7.383318137688403e-06, + "loss": 0.8908, + "step": 7052 + }, + { + "epoch": 0.6, + "learning_rate": 7.3806689283512886e-06, + "loss": 0.9103, + "step": 7053 + }, + { + "epoch": 0.6, + "learning_rate": 7.3780199163739e-06, + "loss": 0.8805, + "step": 7054 + }, + { + "epoch": 0.6, + "learning_rate": 7.375371101955842e-06, + "loss": 0.8449, + "step": 7055 + }, + { + "epoch": 0.6, + "learning_rate": 7.372722485296688e-06, + "loss": 0.8975, + "step": 7056 + }, + { + "epoch": 0.6, + "learning_rate": 7.370074066596011e-06, + "loss": 0.8553, + "step": 7057 + }, + { + "epoch": 0.6, + "learning_rate": 7.36742584605336e-06, + "loss": 0.9039, + "step": 7058 + }, + { + "epoch": 0.6, + "learning_rate": 7.364777823868266e-06, + "loss": 0.9279, + "step": 7059 + }, + { + "epoch": 0.6, + "learning_rate": 7.3621300002402615e-06, + "loss": 0.8919, + "step": 7060 + }, + { + "epoch": 0.6, + "learning_rate": 7.359482375368843e-06, + "loss": 0.826, + "step": 7061 + }, + { + "epoch": 0.6, + "learning_rate": 7.356834949453511e-06, + "loss": 0.8713, + "step": 7062 + }, + { + "epoch": 0.6, + "learning_rate": 7.354187722693731e-06, + "loss": 0.9099, + "step": 7063 + }, + { + "epoch": 0.6, + "learning_rate": 7.351540695288977e-06, + "loss": 0.8707, + "step": 7064 + }, + { + "epoch": 0.6, + "learning_rate": 7.348893867438684e-06, + "loss": 0.8907, + "step": 7065 + }, + { + "epoch": 0.6, + "learning_rate": 7.346247239342294e-06, + "loss": 0.9146, + "step": 7066 + }, + { + "epoch": 0.6, + "learning_rate": 7.3436008111992145e-06, + "loss": 0.8642, + "step": 7067 + }, + { + "epoch": 0.6, + "learning_rate": 7.340954583208854e-06, + "loss": 0.872, + "step": 7068 + }, + { + "epoch": 0.6, + "learning_rate": 7.3383085555705965e-06, + "loss": 0.8904, + "step": 7069 + }, + { + "epoch": 0.6, + "learning_rate": 7.335662728483808e-06, + "loss": 0.9318, + "step": 7070 + }, + { + "epoch": 0.6, + "learning_rate": 7.333017102147855e-06, + "loss": 0.9108, + "step": 7071 + }, + { + "epoch": 0.6, + "learning_rate": 7.3303716767620665e-06, + "loss": 0.8792, + "step": 7072 + }, + { + "epoch": 0.6, + "learning_rate": 7.327726452525779e-06, + "loss": 0.877, + "step": 7073 + }, + { + "epoch": 0.6, + "learning_rate": 7.325081429638294e-06, + "loss": 0.8505, + "step": 7074 + }, + { + "epoch": 0.6, + "learning_rate": 7.322436608298917e-06, + "loss": 0.8521, + "step": 7075 + }, + { + "epoch": 0.6, + "learning_rate": 7.31979198870692e-06, + "loss": 0.6026, + "step": 7076 + }, + { + "epoch": 0.6, + "learning_rate": 7.317147571061575e-06, + "loss": 0.891, + "step": 7077 + }, + { + "epoch": 0.6, + "learning_rate": 7.314503355562124e-06, + "loss": 0.8921, + "step": 7078 + }, + { + "epoch": 0.6, + "learning_rate": 7.311859342407809e-06, + "loss": 0.8633, + "step": 7079 + }, + { + "epoch": 0.6, + "learning_rate": 7.309215531797844e-06, + "loss": 0.9208, + "step": 7080 + }, + { + "epoch": 0.6, + "learning_rate": 7.306571923931436e-06, + "loss": 0.9011, + "step": 7081 + }, + { + "epoch": 0.6, + "learning_rate": 7.303928519007776e-06, + "loss": 0.8811, + "step": 7082 + }, + { + "epoch": 0.6, + "learning_rate": 7.3012853172260315e-06, + "loss": 0.8683, + "step": 7083 + }, + { + "epoch": 0.6, + "learning_rate": 7.2986423187853675e-06, + "loss": 0.9165, + "step": 7084 + }, + { + "epoch": 0.6, + "learning_rate": 7.295999523884921e-06, + "loss": 0.8824, + "step": 7085 + }, + { + "epoch": 0.6, + "learning_rate": 7.293356932723827e-06, + "loss": 0.5882, + "step": 7086 + }, + { + "epoch": 0.6, + "learning_rate": 7.290714545501189e-06, + "loss": 0.9405, + "step": 7087 + }, + { + "epoch": 0.6, + "learning_rate": 7.288072362416112e-06, + "loss": 0.886, + "step": 7088 + }, + { + "epoch": 0.6, + "learning_rate": 7.285430383667671e-06, + "loss": 0.8937, + "step": 7089 + }, + { + "epoch": 0.6, + "learning_rate": 7.2827886094549385e-06, + "loss": 0.9084, + "step": 7090 + }, + { + "epoch": 0.6, + "learning_rate": 7.280147039976963e-06, + "loss": 0.8868, + "step": 7091 + }, + { + "epoch": 0.6, + "learning_rate": 7.2775056754327726e-06, + "loss": 0.868, + "step": 7092 + }, + { + "epoch": 0.6, + "learning_rate": 7.2748645160213995e-06, + "loss": 0.8629, + "step": 7093 + }, + { + "epoch": 0.6, + "learning_rate": 7.272223561941837e-06, + "loss": 0.8437, + "step": 7094 + }, + { + "epoch": 0.6, + "learning_rate": 7.2695828133930835e-06, + "loss": 0.8761, + "step": 7095 + }, + { + "epoch": 0.6, + "learning_rate": 7.266942270574103e-06, + "loss": 0.9347, + "step": 7096 + }, + { + "epoch": 0.6, + "learning_rate": 7.264301933683864e-06, + "loss": 0.8714, + "step": 7097 + }, + { + "epoch": 0.6, + "learning_rate": 7.261661802921298e-06, + "loss": 0.9489, + "step": 7098 + }, + { + "epoch": 0.6, + "learning_rate": 7.259021878485344e-06, + "loss": 0.8831, + "step": 7099 + }, + { + "epoch": 0.6, + "learning_rate": 7.256382160574902e-06, + "loss": 0.8802, + "step": 7100 + }, + { + "epoch": 0.6, + "learning_rate": 7.253742649388874e-06, + "loss": 0.8508, + "step": 7101 + }, + { + "epoch": 0.6, + "learning_rate": 7.251103345126138e-06, + "loss": 0.8715, + "step": 7102 + }, + { + "epoch": 0.6, + "learning_rate": 7.248464247985558e-06, + "loss": 0.893, + "step": 7103 + }, + { + "epoch": 0.6, + "learning_rate": 7.24582535816599e-06, + "loss": 0.854, + "step": 7104 + }, + { + "epoch": 0.6, + "learning_rate": 7.243186675866256e-06, + "loss": 0.8583, + "step": 7105 + }, + { + "epoch": 0.6, + "learning_rate": 7.240548201285186e-06, + "loss": 0.8354, + "step": 7106 + }, + { + "epoch": 0.6, + "learning_rate": 7.23790993462157e-06, + "loss": 0.859, + "step": 7107 + }, + { + "epoch": 0.6, + "learning_rate": 7.235271876074206e-06, + "loss": 0.9487, + "step": 7108 + }, + { + "epoch": 0.6, + "learning_rate": 7.232634025841853e-06, + "loss": 0.5245, + "step": 7109 + }, + { + "epoch": 0.6, + "learning_rate": 7.229996384123279e-06, + "loss": 0.9009, + "step": 7110 + }, + { + "epoch": 0.6, + "learning_rate": 7.227358951117216e-06, + "loss": 0.9138, + "step": 7111 + }, + { + "epoch": 0.6, + "learning_rate": 7.224721727022384e-06, + "loss": 0.913, + "step": 7112 + }, + { + "epoch": 0.6, + "learning_rate": 7.222084712037499e-06, + "loss": 0.8863, + "step": 7113 + }, + { + "epoch": 0.6, + "learning_rate": 7.219447906361246e-06, + "loss": 0.9089, + "step": 7114 + }, + { + "epoch": 0.6, + "learning_rate": 7.2168113101923085e-06, + "loss": 0.8975, + "step": 7115 + }, + { + "epoch": 0.6, + "learning_rate": 7.21417492372934e-06, + "loss": 0.8228, + "step": 7116 + }, + { + "epoch": 0.6, + "learning_rate": 7.211538747170992e-06, + "loss": 0.9177, + "step": 7117 + }, + { + "epoch": 0.6, + "learning_rate": 7.208902780715888e-06, + "loss": 0.848, + "step": 7118 + }, + { + "epoch": 0.6, + "learning_rate": 7.206267024562646e-06, + "loss": 0.515, + "step": 7119 + }, + { + "epoch": 0.6, + "learning_rate": 7.203631478909857e-06, + "loss": 0.8523, + "step": 7120 + }, + { + "epoch": 0.6, + "learning_rate": 7.200996143956111e-06, + "loss": 0.8948, + "step": 7121 + }, + { + "epoch": 0.6, + "learning_rate": 7.198361019899966e-06, + "loss": 0.907, + "step": 7122 + }, + { + "epoch": 0.6, + "learning_rate": 7.1957261069399745e-06, + "loss": 0.8886, + "step": 7123 + }, + { + "epoch": 0.6, + "learning_rate": 7.193091405274671e-06, + "loss": 0.8841, + "step": 7124 + }, + { + "epoch": 0.6, + "learning_rate": 7.1904569151025694e-06, + "loss": 0.5887, + "step": 7125 + }, + { + "epoch": 0.6, + "learning_rate": 7.187822636622179e-06, + "loss": 0.8436, + "step": 7126 + }, + { + "epoch": 0.6, + "learning_rate": 7.185188570031979e-06, + "loss": 0.8749, + "step": 7127 + }, + { + "epoch": 0.6, + "learning_rate": 7.182554715530446e-06, + "loss": 0.8883, + "step": 7128 + }, + { + "epoch": 0.6, + "learning_rate": 7.179921073316025e-06, + "loss": 0.8386, + "step": 7129 + }, + { + "epoch": 0.6, + "learning_rate": 7.177287643587164e-06, + "loss": 0.8623, + "step": 7130 + }, + { + "epoch": 0.6, + "learning_rate": 7.174654426542275e-06, + "loss": 0.8946, + "step": 7131 + }, + { + "epoch": 0.6, + "learning_rate": 7.172021422379776e-06, + "loss": 0.8349, + "step": 7132 + }, + { + "epoch": 0.6, + "learning_rate": 7.1693886312980475e-06, + "loss": 0.8957, + "step": 7133 + }, + { + "epoch": 0.6, + "learning_rate": 7.166756053495463e-06, + "loss": 0.8931, + "step": 7134 + }, + { + "epoch": 0.6, + "learning_rate": 7.164123689170388e-06, + "loss": 0.8848, + "step": 7135 + }, + { + "epoch": 0.6, + "learning_rate": 7.161491538521154e-06, + "loss": 0.9178, + "step": 7136 + }, + { + "epoch": 0.6, + "learning_rate": 7.158859601746098e-06, + "loss": 0.8548, + "step": 7137 + }, + { + "epoch": 0.6, + "learning_rate": 7.156227879043518e-06, + "loss": 0.8942, + "step": 7138 + }, + { + "epoch": 0.61, + "learning_rate": 7.153596370611719e-06, + "loss": 0.864, + "step": 7139 + }, + { + "epoch": 0.61, + "learning_rate": 7.150965076648968e-06, + "loss": 0.9146, + "step": 7140 + }, + { + "epoch": 0.61, + "learning_rate": 7.148333997353534e-06, + "loss": 0.8789, + "step": 7141 + }, + { + "epoch": 0.61, + "learning_rate": 7.145703132923657e-06, + "loss": 0.8488, + "step": 7142 + }, + { + "epoch": 0.61, + "learning_rate": 7.143072483557567e-06, + "loss": 0.8622, + "step": 7143 + }, + { + "epoch": 0.61, + "learning_rate": 7.1404420494534775e-06, + "loss": 0.8568, + "step": 7144 + }, + { + "epoch": 0.61, + "learning_rate": 7.1378118308095835e-06, + "loss": 0.9158, + "step": 7145 + }, + { + "epoch": 0.61, + "learning_rate": 7.135181827824065e-06, + "loss": 0.868, + "step": 7146 + }, + { + "epoch": 0.61, + "learning_rate": 7.132552040695087e-06, + "loss": 0.8725, + "step": 7147 + }, + { + "epoch": 0.61, + "learning_rate": 7.129922469620798e-06, + "loss": 0.8739, + "step": 7148 + }, + { + "epoch": 0.61, + "learning_rate": 7.127293114799325e-06, + "loss": 0.9147, + "step": 7149 + }, + { + "epoch": 0.61, + "learning_rate": 7.12466397642879e-06, + "loss": 0.8487, + "step": 7150 + }, + { + "epoch": 0.61, + "learning_rate": 7.122035054707283e-06, + "loss": 0.8687, + "step": 7151 + }, + { + "epoch": 0.61, + "learning_rate": 7.119406349832896e-06, + "loss": 0.8798, + "step": 7152 + }, + { + "epoch": 0.61, + "learning_rate": 7.1167778620036886e-06, + "loss": 0.8923, + "step": 7153 + }, + { + "epoch": 0.61, + "learning_rate": 7.114149591417709e-06, + "loss": 0.8732, + "step": 7154 + }, + { + "epoch": 0.61, + "learning_rate": 7.111521538272997e-06, + "loss": 0.8267, + "step": 7155 + }, + { + "epoch": 0.61, + "learning_rate": 7.108893702767561e-06, + "loss": 0.5694, + "step": 7156 + }, + { + "epoch": 0.61, + "learning_rate": 7.106266085099412e-06, + "loss": 0.9257, + "step": 7157 + }, + { + "epoch": 0.61, + "learning_rate": 7.103638685466522e-06, + "loss": 0.9182, + "step": 7158 + }, + { + "epoch": 0.61, + "learning_rate": 7.10101150406687e-06, + "loss": 0.854, + "step": 7159 + }, + { + "epoch": 0.61, + "learning_rate": 7.0983845410984e-06, + "loss": 0.931, + "step": 7160 + }, + { + "epoch": 0.61, + "learning_rate": 7.095757796759052e-06, + "loss": 0.8915, + "step": 7161 + }, + { + "epoch": 0.61, + "learning_rate": 7.093131271246737e-06, + "loss": 0.8726, + "step": 7162 + }, + { + "epoch": 0.61, + "learning_rate": 7.090504964759366e-06, + "loss": 0.8771, + "step": 7163 + }, + { + "epoch": 0.61, + "learning_rate": 7.087878877494817e-06, + "loss": 0.5276, + "step": 7164 + }, + { + "epoch": 0.61, + "learning_rate": 7.085253009650962e-06, + "loss": 0.8645, + "step": 7165 + }, + { + "epoch": 0.61, + "learning_rate": 7.082627361425652e-06, + "loss": 0.8744, + "step": 7166 + }, + { + "epoch": 0.61, + "learning_rate": 7.080001933016724e-06, + "loss": 0.9499, + "step": 7167 + }, + { + "epoch": 0.61, + "learning_rate": 7.077376724621996e-06, + "loss": 0.8516, + "step": 7168 + }, + { + "epoch": 0.61, + "learning_rate": 7.0747517364392694e-06, + "loss": 0.9418, + "step": 7169 + }, + { + "epoch": 0.61, + "learning_rate": 7.072126968666335e-06, + "loss": 0.8854, + "step": 7170 + }, + { + "epoch": 0.61, + "learning_rate": 7.069502421500956e-06, + "loss": 0.908, + "step": 7171 + }, + { + "epoch": 0.61, + "learning_rate": 7.066878095140892e-06, + "loss": 0.8729, + "step": 7172 + }, + { + "epoch": 0.61, + "learning_rate": 7.06425398978387e-06, + "loss": 0.8765, + "step": 7173 + }, + { + "epoch": 0.61, + "learning_rate": 7.061630105627619e-06, + "loss": 0.8732, + "step": 7174 + }, + { + "epoch": 0.61, + "learning_rate": 7.05900644286984e-06, + "loss": 0.8729, + "step": 7175 + }, + { + "epoch": 0.61, + "learning_rate": 7.0563830017082106e-06, + "loss": 0.8845, + "step": 7176 + }, + { + "epoch": 0.61, + "learning_rate": 7.05375978234041e-06, + "loss": 0.8731, + "step": 7177 + }, + { + "epoch": 0.61, + "learning_rate": 7.051136784964083e-06, + "loss": 0.8371, + "step": 7178 + }, + { + "epoch": 0.61, + "learning_rate": 7.048514009776875e-06, + "loss": 0.8542, + "step": 7179 + }, + { + "epoch": 0.61, + "learning_rate": 7.0458914569763945e-06, + "loss": 0.9074, + "step": 7180 + }, + { + "epoch": 0.61, + "learning_rate": 7.043269126760255e-06, + "loss": 0.9147, + "step": 7181 + }, + { + "epoch": 0.61, + "learning_rate": 7.040647019326033e-06, + "loss": 0.8795, + "step": 7182 + }, + { + "epoch": 0.61, + "learning_rate": 7.038025134871302e-06, + "loss": 0.8909, + "step": 7183 + }, + { + "epoch": 0.61, + "learning_rate": 7.035403473593614e-06, + "loss": 0.9121, + "step": 7184 + }, + { + "epoch": 0.61, + "learning_rate": 7.032782035690502e-06, + "loss": 0.8812, + "step": 7185 + }, + { + "epoch": 0.61, + "learning_rate": 7.030160821359486e-06, + "loss": 0.9389, + "step": 7186 + }, + { + "epoch": 0.61, + "learning_rate": 7.027539830798069e-06, + "loss": 0.8836, + "step": 7187 + }, + { + "epoch": 0.61, + "learning_rate": 7.0249190642037334e-06, + "loss": 0.8991, + "step": 7188 + }, + { + "epoch": 0.61, + "learning_rate": 7.022298521773949e-06, + "loss": 0.8514, + "step": 7189 + }, + { + "epoch": 0.61, + "learning_rate": 7.019678203706164e-06, + "loss": 0.8668, + "step": 7190 + }, + { + "epoch": 0.61, + "learning_rate": 7.017058110197814e-06, + "loss": 0.9076, + "step": 7191 + }, + { + "epoch": 0.61, + "learning_rate": 7.01443824144632e-06, + "loss": 0.8893, + "step": 7192 + }, + { + "epoch": 0.61, + "learning_rate": 7.011818597649074e-06, + "loss": 0.8684, + "step": 7193 + }, + { + "epoch": 0.61, + "learning_rate": 7.00919917900347e-06, + "loss": 0.8852, + "step": 7194 + }, + { + "epoch": 0.61, + "learning_rate": 7.006579985706867e-06, + "loss": 0.8719, + "step": 7195 + }, + { + "epoch": 0.61, + "learning_rate": 7.003961017956611e-06, + "loss": 0.8364, + "step": 7196 + }, + { + "epoch": 0.61, + "learning_rate": 7.001342275950045e-06, + "loss": 0.8891, + "step": 7197 + }, + { + "epoch": 0.61, + "learning_rate": 6.9987237598844726e-06, + "loss": 0.8789, + "step": 7198 + }, + { + "epoch": 0.61, + "learning_rate": 6.996105469957204e-06, + "loss": 0.9021, + "step": 7199 + }, + { + "epoch": 0.61, + "learning_rate": 6.993487406365509e-06, + "loss": 0.8998, + "step": 7200 + }, + { + "epoch": 0.61, + "learning_rate": 6.990869569306662e-06, + "loss": 0.8755, + "step": 7201 + }, + { + "epoch": 0.61, + "learning_rate": 6.9882519589779005e-06, + "loss": 0.555, + "step": 7202 + }, + { + "epoch": 0.61, + "learning_rate": 6.985634575576463e-06, + "loss": 0.8655, + "step": 7203 + }, + { + "epoch": 0.61, + "learning_rate": 6.983017419299557e-06, + "loss": 0.848, + "step": 7204 + }, + { + "epoch": 0.61, + "learning_rate": 6.980400490344383e-06, + "loss": 0.9004, + "step": 7205 + }, + { + "epoch": 0.61, + "learning_rate": 6.9777837889081154e-06, + "loss": 0.906, + "step": 7206 + }, + { + "epoch": 0.61, + "learning_rate": 6.975167315187918e-06, + "loss": 0.9113, + "step": 7207 + }, + { + "epoch": 0.61, + "learning_rate": 6.972551069380935e-06, + "loss": 0.8713, + "step": 7208 + }, + { + "epoch": 0.61, + "learning_rate": 6.969935051684293e-06, + "loss": 0.8883, + "step": 7209 + }, + { + "epoch": 0.61, + "learning_rate": 6.967319262295101e-06, + "loss": 0.8895, + "step": 7210 + }, + { + "epoch": 0.61, + "learning_rate": 6.964703701410455e-06, + "loss": 0.9112, + "step": 7211 + }, + { + "epoch": 0.61, + "learning_rate": 6.962088369227429e-06, + "loss": 0.8717, + "step": 7212 + }, + { + "epoch": 0.61, + "learning_rate": 6.959473265943079e-06, + "loss": 0.891, + "step": 7213 + }, + { + "epoch": 0.61, + "learning_rate": 6.956858391754453e-06, + "loss": 0.8525, + "step": 7214 + }, + { + "epoch": 0.61, + "learning_rate": 6.954243746858566e-06, + "loss": 0.8815, + "step": 7215 + }, + { + "epoch": 0.61, + "learning_rate": 6.951629331452433e-06, + "loss": 0.9004, + "step": 7216 + }, + { + "epoch": 0.61, + "learning_rate": 6.94901514573304e-06, + "loss": 0.8452, + "step": 7217 + }, + { + "epoch": 0.61, + "learning_rate": 6.9464011898973536e-06, + "loss": 0.8691, + "step": 7218 + }, + { + "epoch": 0.61, + "learning_rate": 6.943787464142339e-06, + "loss": 0.878, + "step": 7219 + }, + { + "epoch": 0.61, + "learning_rate": 6.941173968664923e-06, + "loss": 0.8805, + "step": 7220 + }, + { + "epoch": 0.61, + "learning_rate": 6.938560703662036e-06, + "loss": 0.89, + "step": 7221 + }, + { + "epoch": 0.61, + "learning_rate": 6.93594766933057e-06, + "loss": 0.9221, + "step": 7222 + }, + { + "epoch": 0.61, + "learning_rate": 6.93333486586742e-06, + "loss": 0.9274, + "step": 7223 + }, + { + "epoch": 0.61, + "learning_rate": 6.930722293469445e-06, + "loss": 0.9239, + "step": 7224 + }, + { + "epoch": 0.61, + "learning_rate": 6.928109952333506e-06, + "loss": 0.9206, + "step": 7225 + }, + { + "epoch": 0.61, + "learning_rate": 6.9254978426564256e-06, + "loss": 0.8529, + "step": 7226 + }, + { + "epoch": 0.61, + "learning_rate": 6.922885964635025e-06, + "loss": 0.8921, + "step": 7227 + }, + { + "epoch": 0.61, + "learning_rate": 6.920274318466103e-06, + "loss": 0.893, + "step": 7228 + }, + { + "epoch": 0.61, + "learning_rate": 6.9176629043464364e-06, + "loss": 0.9323, + "step": 7229 + }, + { + "epoch": 0.61, + "learning_rate": 6.91505172247279e-06, + "loss": 0.858, + "step": 7230 + }, + { + "epoch": 0.61, + "learning_rate": 6.912440773041911e-06, + "loss": 0.8771, + "step": 7231 + }, + { + "epoch": 0.61, + "learning_rate": 6.909830056250527e-06, + "loss": 0.9247, + "step": 7232 + }, + { + "epoch": 0.61, + "learning_rate": 6.9072195722953485e-06, + "loss": 0.9, + "step": 7233 + }, + { + "epoch": 0.61, + "learning_rate": 6.904609321373068e-06, + "loss": 0.8765, + "step": 7234 + }, + { + "epoch": 0.61, + "learning_rate": 6.901999303680359e-06, + "loss": 0.8458, + "step": 7235 + }, + { + "epoch": 0.61, + "learning_rate": 6.899389519413886e-06, + "loss": 0.8972, + "step": 7236 + }, + { + "epoch": 0.61, + "learning_rate": 6.896779968770287e-06, + "loss": 0.858, + "step": 7237 + }, + { + "epoch": 0.61, + "learning_rate": 6.8941706519461785e-06, + "loss": 0.9005, + "step": 7238 + }, + { + "epoch": 0.61, + "learning_rate": 6.891561569138174e-06, + "loss": 0.9164, + "step": 7239 + }, + { + "epoch": 0.61, + "learning_rate": 6.888952720542853e-06, + "loss": 0.8548, + "step": 7240 + }, + { + "epoch": 0.61, + "learning_rate": 6.886344106356795e-06, + "loss": 0.8766, + "step": 7241 + }, + { + "epoch": 0.61, + "learning_rate": 6.883735726776541e-06, + "loss": 0.8881, + "step": 7242 + }, + { + "epoch": 0.61, + "learning_rate": 6.881127581998639e-06, + "loss": 0.865, + "step": 7243 + }, + { + "epoch": 0.61, + "learning_rate": 6.878519672219592e-06, + "loss": 0.8921, + "step": 7244 + }, + { + "epoch": 0.61, + "learning_rate": 6.8759119976359116e-06, + "loss": 0.9052, + "step": 7245 + }, + { + "epoch": 0.61, + "learning_rate": 6.873304558444067e-06, + "loss": 0.8687, + "step": 7246 + }, + { + "epoch": 0.61, + "learning_rate": 6.870697354840534e-06, + "loss": 0.8953, + "step": 7247 + }, + { + "epoch": 0.61, + "learning_rate": 6.86809038702175e-06, + "loss": 0.8942, + "step": 7248 + }, + { + "epoch": 0.61, + "learning_rate": 6.865483655184146e-06, + "loss": 0.8622, + "step": 7249 + }, + { + "epoch": 0.61, + "learning_rate": 6.862877159524133e-06, + "loss": 0.9296, + "step": 7250 + }, + { + "epoch": 0.61, + "learning_rate": 6.860270900238102e-06, + "loss": 0.9038, + "step": 7251 + }, + { + "epoch": 0.61, + "learning_rate": 6.8576648775224296e-06, + "loss": 0.8752, + "step": 7252 + }, + { + "epoch": 0.61, + "learning_rate": 6.855059091573472e-06, + "loss": 0.8801, + "step": 7253 + }, + { + "epoch": 0.61, + "learning_rate": 6.852453542587569e-06, + "loss": 0.8919, + "step": 7254 + }, + { + "epoch": 0.61, + "learning_rate": 6.84984823076104e-06, + "loss": 0.8728, + "step": 7255 + }, + { + "epoch": 0.61, + "learning_rate": 6.847243156290191e-06, + "loss": 0.8905, + "step": 7256 + }, + { + "epoch": 0.62, + "learning_rate": 6.844638319371303e-06, + "loss": 0.8891, + "step": 7257 + }, + { + "epoch": 0.62, + "learning_rate": 6.842033720200651e-06, + "loss": 0.8738, + "step": 7258 + }, + { + "epoch": 0.62, + "learning_rate": 6.839429358974481e-06, + "loss": 0.8323, + "step": 7259 + }, + { + "epoch": 0.62, + "learning_rate": 6.83682523588902e-06, + "loss": 0.8976, + "step": 7260 + }, + { + "epoch": 0.62, + "learning_rate": 6.834221351140491e-06, + "loss": 0.858, + "step": 7261 + }, + { + "epoch": 0.62, + "learning_rate": 6.83161770492508e-06, + "loss": 0.9035, + "step": 7262 + }, + { + "epoch": 0.62, + "learning_rate": 6.829014297438974e-06, + "loss": 0.8841, + "step": 7263 + }, + { + "epoch": 0.62, + "learning_rate": 6.826411128878325e-06, + "loss": 0.8794, + "step": 7264 + }, + { + "epoch": 0.62, + "learning_rate": 6.8238081994392836e-06, + "loss": 0.9, + "step": 7265 + }, + { + "epoch": 0.62, + "learning_rate": 6.8212055093179656e-06, + "loss": 0.895, + "step": 7266 + }, + { + "epoch": 0.62, + "learning_rate": 6.818603058710482e-06, + "loss": 0.8854, + "step": 7267 + }, + { + "epoch": 0.62, + "learning_rate": 6.81600084781292e-06, + "loss": 0.8838, + "step": 7268 + }, + { + "epoch": 0.62, + "learning_rate": 6.8133988768213446e-06, + "loss": 0.8351, + "step": 7269 + }, + { + "epoch": 0.62, + "learning_rate": 6.8107971459318135e-06, + "loss": 0.9263, + "step": 7270 + }, + { + "epoch": 0.62, + "learning_rate": 6.808195655340357e-06, + "loss": 0.8871, + "step": 7271 + }, + { + "epoch": 0.62, + "learning_rate": 6.805594405242992e-06, + "loss": 0.8544, + "step": 7272 + }, + { + "epoch": 0.62, + "learning_rate": 6.8029933958357155e-06, + "loss": 0.8409, + "step": 7273 + }, + { + "epoch": 0.62, + "learning_rate": 6.800392627314506e-06, + "loss": 0.8811, + "step": 7274 + }, + { + "epoch": 0.62, + "learning_rate": 6.797792099875325e-06, + "loss": 0.8753, + "step": 7275 + }, + { + "epoch": 0.62, + "learning_rate": 6.795191813714117e-06, + "loss": 0.9071, + "step": 7276 + }, + { + "epoch": 0.62, + "learning_rate": 6.792591769026804e-06, + "loss": 0.8698, + "step": 7277 + }, + { + "epoch": 0.62, + "learning_rate": 6.789991966009295e-06, + "loss": 0.9239, + "step": 7278 + }, + { + "epoch": 0.62, + "learning_rate": 6.78739240485748e-06, + "loss": 0.937, + "step": 7279 + }, + { + "epoch": 0.62, + "learning_rate": 6.7847930857672205e-06, + "loss": 0.8539, + "step": 7280 + }, + { + "epoch": 0.62, + "learning_rate": 6.782194008934379e-06, + "loss": 0.8695, + "step": 7281 + }, + { + "epoch": 0.62, + "learning_rate": 6.779595174554782e-06, + "loss": 0.9232, + "step": 7282 + }, + { + "epoch": 0.62, + "learning_rate": 6.7769965828242505e-06, + "loss": 0.8744, + "step": 7283 + }, + { + "epoch": 0.62, + "learning_rate": 6.774398233938572e-06, + "loss": 0.9232, + "step": 7284 + }, + { + "epoch": 0.62, + "learning_rate": 6.7718001280935384e-06, + "loss": 0.8595, + "step": 7285 + }, + { + "epoch": 0.62, + "learning_rate": 6.769202265484899e-06, + "loss": 0.8901, + "step": 7286 + }, + { + "epoch": 0.62, + "learning_rate": 6.766604646308404e-06, + "loss": 0.9117, + "step": 7287 + }, + { + "epoch": 0.62, + "learning_rate": 6.764007270759769e-06, + "loss": 0.7926, + "step": 7288 + }, + { + "epoch": 0.62, + "learning_rate": 6.7614101390347095e-06, + "loss": 0.8461, + "step": 7289 + }, + { + "epoch": 0.62, + "learning_rate": 6.758813251328907e-06, + "loss": 0.8823, + "step": 7290 + }, + { + "epoch": 0.62, + "learning_rate": 6.756216607838024e-06, + "loss": 0.8711, + "step": 7291 + }, + { + "epoch": 0.62, + "learning_rate": 6.753620208757721e-06, + "loss": 0.8331, + "step": 7292 + }, + { + "epoch": 0.62, + "learning_rate": 6.751024054283624e-06, + "loss": 0.8653, + "step": 7293 + }, + { + "epoch": 0.62, + "learning_rate": 6.7484281446113495e-06, + "loss": 0.9016, + "step": 7294 + }, + { + "epoch": 0.62, + "learning_rate": 6.745832479936492e-06, + "loss": 0.8486, + "step": 7295 + }, + { + "epoch": 0.62, + "learning_rate": 6.743237060454626e-06, + "loss": 0.8433, + "step": 7296 + }, + { + "epoch": 0.62, + "learning_rate": 6.740641886361312e-06, + "loss": 0.8828, + "step": 7297 + }, + { + "epoch": 0.62, + "learning_rate": 6.738046957852089e-06, + "loss": 0.8841, + "step": 7298 + }, + { + "epoch": 0.62, + "learning_rate": 6.735452275122476e-06, + "loss": 0.9378, + "step": 7299 + }, + { + "epoch": 0.62, + "learning_rate": 6.7328578383679775e-06, + "loss": 0.8624, + "step": 7300 + }, + { + "epoch": 0.62, + "learning_rate": 6.730263647784079e-06, + "loss": 0.8526, + "step": 7301 + }, + { + "epoch": 0.62, + "learning_rate": 6.7276697035662406e-06, + "loss": 0.9088, + "step": 7302 + }, + { + "epoch": 0.62, + "learning_rate": 6.725076005909916e-06, + "loss": 0.882, + "step": 7303 + }, + { + "epoch": 0.62, + "learning_rate": 6.722482555010528e-06, + "loss": 0.5228, + "step": 7304 + }, + { + "epoch": 0.62, + "learning_rate": 6.71988935106349e-06, + "loss": 0.9379, + "step": 7305 + }, + { + "epoch": 0.62, + "learning_rate": 6.717296394264188e-06, + "loss": 0.8532, + "step": 7306 + }, + { + "epoch": 0.62, + "learning_rate": 6.714703684808004e-06, + "loss": 0.8958, + "step": 7307 + }, + { + "epoch": 0.62, + "learning_rate": 6.71211122289028e-06, + "loss": 0.8714, + "step": 7308 + }, + { + "epoch": 0.62, + "learning_rate": 6.709519008706362e-06, + "loss": 0.8586, + "step": 7309 + }, + { + "epoch": 0.62, + "learning_rate": 6.706927042451561e-06, + "loss": 0.9089, + "step": 7310 + }, + { + "epoch": 0.62, + "learning_rate": 6.704335324321171e-06, + "loss": 0.885, + "step": 7311 + }, + { + "epoch": 0.62, + "learning_rate": 6.701743854510482e-06, + "loss": 0.9052, + "step": 7312 + }, + { + "epoch": 0.62, + "learning_rate": 6.699152633214743e-06, + "loss": 0.9005, + "step": 7313 + }, + { + "epoch": 0.62, + "learning_rate": 6.696561660629203e-06, + "loss": 0.8415, + "step": 7314 + }, + { + "epoch": 0.62, + "learning_rate": 6.693970936949084e-06, + "loss": 0.9099, + "step": 7315 + }, + { + "epoch": 0.62, + "learning_rate": 6.691380462369588e-06, + "loss": 0.8072, + "step": 7316 + }, + { + "epoch": 0.62, + "learning_rate": 6.6887902370859004e-06, + "loss": 0.8716, + "step": 7317 + }, + { + "epoch": 0.62, + "learning_rate": 6.68620026129319e-06, + "loss": 0.9584, + "step": 7318 + }, + { + "epoch": 0.62, + "learning_rate": 6.683610535186604e-06, + "loss": 0.8686, + "step": 7319 + }, + { + "epoch": 0.62, + "learning_rate": 6.681021058961272e-06, + "loss": 0.8799, + "step": 7320 + }, + { + "epoch": 0.62, + "learning_rate": 6.678431832812305e-06, + "loss": 0.8557, + "step": 7321 + }, + { + "epoch": 0.62, + "learning_rate": 6.675842856934789e-06, + "loss": 0.832, + "step": 7322 + }, + { + "epoch": 0.62, + "learning_rate": 6.673254131523805e-06, + "loss": 0.8651, + "step": 7323 + }, + { + "epoch": 0.62, + "learning_rate": 6.670665656774398e-06, + "loss": 0.8481, + "step": 7324 + }, + { + "epoch": 0.62, + "learning_rate": 6.66807743288161e-06, + "loss": 0.9101, + "step": 7325 + }, + { + "epoch": 0.62, + "learning_rate": 6.66548946004045e-06, + "loss": 0.5217, + "step": 7326 + }, + { + "epoch": 0.62, + "learning_rate": 6.662901738445923e-06, + "loss": 0.8973, + "step": 7327 + }, + { + "epoch": 0.62, + "learning_rate": 6.660314268293e-06, + "loss": 0.8993, + "step": 7328 + }, + { + "epoch": 0.62, + "learning_rate": 6.657727049776645e-06, + "loss": 0.8805, + "step": 7329 + }, + { + "epoch": 0.62, + "learning_rate": 6.655140083091794e-06, + "loss": 0.5562, + "step": 7330 + }, + { + "epoch": 0.62, + "learning_rate": 6.6525533684333724e-06, + "loss": 0.8807, + "step": 7331 + }, + { + "epoch": 0.62, + "learning_rate": 6.649966905996281e-06, + "loss": 0.8581, + "step": 7332 + }, + { + "epoch": 0.62, + "learning_rate": 6.647380695975398e-06, + "loss": 0.8188, + "step": 7333 + }, + { + "epoch": 0.62, + "learning_rate": 6.644794738565597e-06, + "loss": 0.9042, + "step": 7334 + }, + { + "epoch": 0.62, + "learning_rate": 6.642209033961712e-06, + "loss": 0.8968, + "step": 7335 + }, + { + "epoch": 0.62, + "learning_rate": 6.639623582358577e-06, + "loss": 0.9197, + "step": 7336 + }, + { + "epoch": 0.62, + "learning_rate": 6.637038383950998e-06, + "loss": 0.9257, + "step": 7337 + }, + { + "epoch": 0.62, + "learning_rate": 6.634453438933761e-06, + "loss": 0.9081, + "step": 7338 + }, + { + "epoch": 0.62, + "learning_rate": 6.631868747501636e-06, + "loss": 0.8459, + "step": 7339 + }, + { + "epoch": 0.62, + "learning_rate": 6.629284309849373e-06, + "loss": 0.9296, + "step": 7340 + }, + { + "epoch": 0.62, + "learning_rate": 6.6267001261717015e-06, + "loss": 0.8806, + "step": 7341 + }, + { + "epoch": 0.62, + "learning_rate": 6.624116196663332e-06, + "loss": 0.8782, + "step": 7342 + }, + { + "epoch": 0.62, + "learning_rate": 6.621532521518962e-06, + "loss": 0.8685, + "step": 7343 + }, + { + "epoch": 0.62, + "learning_rate": 6.618949100933256e-06, + "loss": 0.9013, + "step": 7344 + }, + { + "epoch": 0.62, + "learning_rate": 6.616365935100877e-06, + "loss": 0.9332, + "step": 7345 + }, + { + "epoch": 0.62, + "learning_rate": 6.613783024216451e-06, + "loss": 0.9077, + "step": 7346 + }, + { + "epoch": 0.62, + "learning_rate": 6.611200368474604e-06, + "loss": 0.9239, + "step": 7347 + }, + { + "epoch": 0.62, + "learning_rate": 6.608617968069921e-06, + "loss": 0.8971, + "step": 7348 + }, + { + "epoch": 0.62, + "learning_rate": 6.60603582319699e-06, + "loss": 0.8398, + "step": 7349 + }, + { + "epoch": 0.62, + "learning_rate": 6.603453934050359e-06, + "loss": 0.9094, + "step": 7350 + }, + { + "epoch": 0.62, + "learning_rate": 6.600872300824574e-06, + "loss": 0.8565, + "step": 7351 + }, + { + "epoch": 0.62, + "learning_rate": 6.598290923714152e-06, + "loss": 0.8973, + "step": 7352 + }, + { + "epoch": 0.62, + "learning_rate": 6.595709802913588e-06, + "loss": 0.8589, + "step": 7353 + }, + { + "epoch": 0.62, + "learning_rate": 6.593128938617373e-06, + "loss": 0.8904, + "step": 7354 + }, + { + "epoch": 0.62, + "learning_rate": 6.590548331019957e-06, + "loss": 0.8371, + "step": 7355 + }, + { + "epoch": 0.62, + "learning_rate": 6.5879679803157906e-06, + "loss": 0.8477, + "step": 7356 + }, + { + "epoch": 0.62, + "learning_rate": 6.58538788669929e-06, + "loss": 0.9138, + "step": 7357 + }, + { + "epoch": 0.62, + "learning_rate": 6.582808050364864e-06, + "loss": 0.8983, + "step": 7358 + }, + { + "epoch": 0.62, + "learning_rate": 6.580228471506894e-06, + "loss": 0.8881, + "step": 7359 + }, + { + "epoch": 0.62, + "learning_rate": 6.577649150319745e-06, + "loss": 0.8823, + "step": 7360 + }, + { + "epoch": 0.62, + "learning_rate": 6.575070086997762e-06, + "loss": 0.5902, + "step": 7361 + }, + { + "epoch": 0.62, + "learning_rate": 6.5724912817352705e-06, + "loss": 0.8633, + "step": 7362 + }, + { + "epoch": 0.62, + "learning_rate": 6.5699127347265775e-06, + "loss": 0.8939, + "step": 7363 + }, + { + "epoch": 0.62, + "learning_rate": 6.567334446165967e-06, + "loss": 0.9031, + "step": 7364 + }, + { + "epoch": 0.62, + "learning_rate": 6.564756416247712e-06, + "loss": 0.9208, + "step": 7365 + }, + { + "epoch": 0.62, + "learning_rate": 6.5621786451660515e-06, + "loss": 0.9367, + "step": 7366 + }, + { + "epoch": 0.62, + "learning_rate": 6.559601133115223e-06, + "loss": 0.8479, + "step": 7367 + }, + { + "epoch": 0.62, + "learning_rate": 6.557023880289428e-06, + "loss": 0.8257, + "step": 7368 + }, + { + "epoch": 0.62, + "learning_rate": 6.554446886882864e-06, + "loss": 0.875, + "step": 7369 + }, + { + "epoch": 0.62, + "learning_rate": 6.55187015308969e-06, + "loss": 0.9102, + "step": 7370 + }, + { + "epoch": 0.62, + "learning_rate": 6.549293679104065e-06, + "loss": 0.8562, + "step": 7371 + }, + { + "epoch": 0.62, + "learning_rate": 6.546717465120114e-06, + "loss": 0.8819, + "step": 7372 + }, + { + "epoch": 0.62, + "learning_rate": 6.544141511331954e-06, + "loss": 0.8726, + "step": 7373 + }, + { + "epoch": 0.62, + "learning_rate": 6.541565817933672e-06, + "loss": 0.897, + "step": 7374 + }, + { + "epoch": 0.63, + "learning_rate": 6.538990385119336e-06, + "loss": 0.8825, + "step": 7375 + }, + { + "epoch": 0.63, + "learning_rate": 6.536415213083007e-06, + "loss": 0.8991, + "step": 7376 + }, + { + "epoch": 0.63, + "learning_rate": 6.533840302018709e-06, + "loss": 0.871, + "step": 7377 + }, + { + "epoch": 0.63, + "learning_rate": 6.531265652120463e-06, + "loss": 0.8714, + "step": 7378 + }, + { + "epoch": 0.63, + "learning_rate": 6.528691263582254e-06, + "loss": 0.9247, + "step": 7379 + }, + { + "epoch": 0.63, + "learning_rate": 6.5261171365980616e-06, + "loss": 0.8827, + "step": 7380 + }, + { + "epoch": 0.63, + "learning_rate": 6.523543271361837e-06, + "loss": 0.8976, + "step": 7381 + }, + { + "epoch": 0.63, + "learning_rate": 6.520969668067514e-06, + "loss": 0.8815, + "step": 7382 + }, + { + "epoch": 0.63, + "learning_rate": 6.518396326909007e-06, + "loss": 0.9086, + "step": 7383 + }, + { + "epoch": 0.63, + "learning_rate": 6.515823248080211e-06, + "loss": 0.8404, + "step": 7384 + }, + { + "epoch": 0.63, + "learning_rate": 6.513250431775003e-06, + "loss": 0.8879, + "step": 7385 + }, + { + "epoch": 0.63, + "learning_rate": 6.510677878187233e-06, + "loss": 0.8927, + "step": 7386 + }, + { + "epoch": 0.63, + "learning_rate": 6.50810558751074e-06, + "loss": 0.8514, + "step": 7387 + }, + { + "epoch": 0.63, + "learning_rate": 6.505533559939335e-06, + "loss": 0.9118, + "step": 7388 + }, + { + "epoch": 0.63, + "learning_rate": 6.5029617956668214e-06, + "loss": 0.8744, + "step": 7389 + }, + { + "epoch": 0.63, + "learning_rate": 6.500390294886965e-06, + "loss": 0.9527, + "step": 7390 + }, + { + "epoch": 0.63, + "learning_rate": 6.497819057793531e-06, + "loss": 0.8581, + "step": 7391 + }, + { + "epoch": 0.63, + "learning_rate": 6.495248084580248e-06, + "loss": 0.8733, + "step": 7392 + }, + { + "epoch": 0.63, + "learning_rate": 6.492677375440839e-06, + "loss": 0.8733, + "step": 7393 + }, + { + "epoch": 0.63, + "learning_rate": 6.4901069305689955e-06, + "loss": 0.8912, + "step": 7394 + }, + { + "epoch": 0.63, + "learning_rate": 6.487536750158391e-06, + "loss": 0.8761, + "step": 7395 + }, + { + "epoch": 0.63, + "learning_rate": 6.484966834402689e-06, + "loss": 0.8801, + "step": 7396 + }, + { + "epoch": 0.63, + "learning_rate": 6.482397183495519e-06, + "loss": 0.88, + "step": 7397 + }, + { + "epoch": 0.63, + "learning_rate": 6.479827797630506e-06, + "loss": 0.8717, + "step": 7398 + }, + { + "epoch": 0.63, + "learning_rate": 6.477258677001237e-06, + "loss": 0.9008, + "step": 7399 + }, + { + "epoch": 0.63, + "learning_rate": 6.474689821801295e-06, + "loss": 0.8748, + "step": 7400 + }, + { + "epoch": 0.63, + "learning_rate": 6.472121232224232e-06, + "loss": 0.9014, + "step": 7401 + }, + { + "epoch": 0.63, + "learning_rate": 6.4695529084635885e-06, + "loss": 0.8567, + "step": 7402 + }, + { + "epoch": 0.63, + "learning_rate": 6.466984850712881e-06, + "loss": 0.4942, + "step": 7403 + }, + { + "epoch": 0.63, + "learning_rate": 6.464417059165602e-06, + "loss": 0.8671, + "step": 7404 + }, + { + "epoch": 0.63, + "learning_rate": 6.461849534015233e-06, + "loss": 0.892, + "step": 7405 + }, + { + "epoch": 0.63, + "learning_rate": 6.459282275455223e-06, + "loss": 0.8922, + "step": 7406 + }, + { + "epoch": 0.63, + "learning_rate": 6.456715283679018e-06, + "loss": 0.9001, + "step": 7407 + }, + { + "epoch": 0.63, + "learning_rate": 6.454148558880023e-06, + "loss": 0.8807, + "step": 7408 + }, + { + "epoch": 0.63, + "learning_rate": 6.451582101251645e-06, + "loss": 0.8929, + "step": 7409 + }, + { + "epoch": 0.63, + "learning_rate": 6.44901591098725e-06, + "loss": 0.8479, + "step": 7410 + }, + { + "epoch": 0.63, + "learning_rate": 6.446449988280202e-06, + "loss": 0.8805, + "step": 7411 + }, + { + "epoch": 0.63, + "learning_rate": 6.44388433332383e-06, + "loss": 0.869, + "step": 7412 + }, + { + "epoch": 0.63, + "learning_rate": 6.441318946311454e-06, + "loss": 0.8797, + "step": 7413 + }, + { + "epoch": 0.63, + "learning_rate": 6.4387538274363655e-06, + "loss": 0.8573, + "step": 7414 + }, + { + "epoch": 0.63, + "learning_rate": 6.436188976891846e-06, + "loss": 0.8765, + "step": 7415 + }, + { + "epoch": 0.63, + "learning_rate": 6.4336243948711445e-06, + "loss": 0.5455, + "step": 7416 + }, + { + "epoch": 0.63, + "learning_rate": 6.431060081567493e-06, + "loss": 0.8492, + "step": 7417 + }, + { + "epoch": 0.63, + "learning_rate": 6.428496037174112e-06, + "loss": 0.7474, + "step": 7418 + }, + { + "epoch": 0.63, + "learning_rate": 6.425932261884191e-06, + "loss": 0.9064, + "step": 7419 + }, + { + "epoch": 0.63, + "learning_rate": 6.423368755890909e-06, + "loss": 0.9023, + "step": 7420 + }, + { + "epoch": 0.63, + "learning_rate": 6.420805519387412e-06, + "loss": 0.883, + "step": 7421 + }, + { + "epoch": 0.63, + "learning_rate": 6.418242552566841e-06, + "loss": 0.858, + "step": 7422 + }, + { + "epoch": 0.63, + "learning_rate": 6.415679855622302e-06, + "loss": 0.8406, + "step": 7423 + }, + { + "epoch": 0.63, + "learning_rate": 6.413117428746892e-06, + "loss": 0.8914, + "step": 7424 + }, + { + "epoch": 0.63, + "learning_rate": 6.410555272133683e-06, + "loss": 0.8726, + "step": 7425 + }, + { + "epoch": 0.63, + "learning_rate": 6.407993385975724e-06, + "loss": 0.9176, + "step": 7426 + }, + { + "epoch": 0.63, + "learning_rate": 6.405431770466051e-06, + "loss": 0.8993, + "step": 7427 + }, + { + "epoch": 0.63, + "learning_rate": 6.402870425797668e-06, + "loss": 0.822, + "step": 7428 + }, + { + "epoch": 0.63, + "learning_rate": 6.400309352163574e-06, + "loss": 0.8692, + "step": 7429 + }, + { + "epoch": 0.63, + "learning_rate": 6.39774854975673e-06, + "loss": 0.8931, + "step": 7430 + }, + { + "epoch": 0.63, + "learning_rate": 6.395188018770096e-06, + "loss": 0.8483, + "step": 7431 + }, + { + "epoch": 0.63, + "learning_rate": 6.39262775939659e-06, + "loss": 0.8742, + "step": 7432 + }, + { + "epoch": 0.63, + "learning_rate": 6.390067771829132e-06, + "loss": 0.89, + "step": 7433 + }, + { + "epoch": 0.63, + "learning_rate": 6.3875080562606005e-06, + "loss": 0.8803, + "step": 7434 + }, + { + "epoch": 0.63, + "learning_rate": 6.384948612883872e-06, + "loss": 0.8473, + "step": 7435 + }, + { + "epoch": 0.63, + "learning_rate": 6.3823894418917895e-06, + "loss": 0.9511, + "step": 7436 + }, + { + "epoch": 0.63, + "learning_rate": 6.379830543477177e-06, + "loss": 0.8752, + "step": 7437 + }, + { + "epoch": 0.63, + "learning_rate": 6.377271917832848e-06, + "loss": 0.8595, + "step": 7438 + }, + { + "epoch": 0.63, + "learning_rate": 6.374713565151579e-06, + "loss": 0.9049, + "step": 7439 + }, + { + "epoch": 0.63, + "learning_rate": 6.3721554856261445e-06, + "loss": 0.9014, + "step": 7440 + }, + { + "epoch": 0.63, + "learning_rate": 6.369597679449282e-06, + "loss": 0.8688, + "step": 7441 + }, + { + "epoch": 0.63, + "learning_rate": 6.367040146813721e-06, + "loss": 0.8959, + "step": 7442 + }, + { + "epoch": 0.63, + "learning_rate": 6.364482887912159e-06, + "loss": 0.8078, + "step": 7443 + }, + { + "epoch": 0.63, + "learning_rate": 6.3619259029372845e-06, + "loss": 0.8894, + "step": 7444 + }, + { + "epoch": 0.63, + "learning_rate": 6.359369192081756e-06, + "loss": 0.8859, + "step": 7445 + }, + { + "epoch": 0.63, + "learning_rate": 6.356812755538215e-06, + "loss": 0.8905, + "step": 7446 + }, + { + "epoch": 0.63, + "learning_rate": 6.3542565934992885e-06, + "loss": 0.8624, + "step": 7447 + }, + { + "epoch": 0.63, + "learning_rate": 6.351700706157565e-06, + "loss": 0.9101, + "step": 7448 + }, + { + "epoch": 0.63, + "learning_rate": 6.349145093705635e-06, + "loss": 0.855, + "step": 7449 + }, + { + "epoch": 0.63, + "learning_rate": 6.34658975633605e-06, + "loss": 0.9385, + "step": 7450 + }, + { + "epoch": 0.63, + "learning_rate": 6.344034694241353e-06, + "loss": 0.8879, + "step": 7451 + }, + { + "epoch": 0.63, + "learning_rate": 6.341479907614055e-06, + "loss": 0.8765, + "step": 7452 + }, + { + "epoch": 0.63, + "learning_rate": 6.338925396646661e-06, + "loss": 0.8672, + "step": 7453 + }, + { + "epoch": 0.63, + "learning_rate": 6.3363711615316384e-06, + "loss": 0.8484, + "step": 7454 + }, + { + "epoch": 0.63, + "learning_rate": 6.333817202461447e-06, + "loss": 0.894, + "step": 7455 + }, + { + "epoch": 0.63, + "learning_rate": 6.331263519628519e-06, + "loss": 0.91, + "step": 7456 + }, + { + "epoch": 0.63, + "learning_rate": 6.328710113225271e-06, + "loss": 0.9046, + "step": 7457 + }, + { + "epoch": 0.63, + "learning_rate": 6.326156983444092e-06, + "loss": 0.8878, + "step": 7458 + }, + { + "epoch": 0.63, + "learning_rate": 6.3236041304773525e-06, + "loss": 0.8988, + "step": 7459 + }, + { + "epoch": 0.63, + "learning_rate": 6.321051554517406e-06, + "loss": 0.8972, + "step": 7460 + }, + { + "epoch": 0.63, + "learning_rate": 6.318499255756581e-06, + "loss": 0.8342, + "step": 7461 + }, + { + "epoch": 0.63, + "learning_rate": 6.31594723438719e-06, + "loss": 0.86, + "step": 7462 + }, + { + "epoch": 0.63, + "learning_rate": 6.313395490601513e-06, + "loss": 0.884, + "step": 7463 + }, + { + "epoch": 0.63, + "learning_rate": 6.310844024591826e-06, + "loss": 0.9052, + "step": 7464 + }, + { + "epoch": 0.63, + "learning_rate": 6.308292836550371e-06, + "loss": 0.8785, + "step": 7465 + }, + { + "epoch": 0.63, + "learning_rate": 6.305741926669376e-06, + "loss": 0.9182, + "step": 7466 + }, + { + "epoch": 0.63, + "learning_rate": 6.303191295141042e-06, + "loss": 0.8817, + "step": 7467 + }, + { + "epoch": 0.63, + "learning_rate": 6.300640942157551e-06, + "loss": 0.8473, + "step": 7468 + }, + { + "epoch": 0.63, + "learning_rate": 6.298090867911073e-06, + "loss": 0.8501, + "step": 7469 + }, + { + "epoch": 0.63, + "learning_rate": 6.2955410725937405e-06, + "loss": 0.9165, + "step": 7470 + }, + { + "epoch": 0.63, + "learning_rate": 6.292991556397683e-06, + "loss": 0.87, + "step": 7471 + }, + { + "epoch": 0.63, + "learning_rate": 6.290442319514989e-06, + "loss": 0.8519, + "step": 7472 + }, + { + "epoch": 0.63, + "learning_rate": 6.287893362137749e-06, + "loss": 0.8436, + "step": 7473 + }, + { + "epoch": 0.63, + "learning_rate": 6.285344684458008e-06, + "loss": 0.8695, + "step": 7474 + }, + { + "epoch": 0.63, + "learning_rate": 6.282796286667814e-06, + "loss": 0.9539, + "step": 7475 + }, + { + "epoch": 0.63, + "learning_rate": 6.280248168959171e-06, + "loss": 0.8551, + "step": 7476 + }, + { + "epoch": 0.63, + "learning_rate": 6.277700331524083e-06, + "loss": 0.8938, + "step": 7477 + }, + { + "epoch": 0.63, + "learning_rate": 6.275152774554518e-06, + "loss": 0.8744, + "step": 7478 + }, + { + "epoch": 0.63, + "learning_rate": 6.2726054982424235e-06, + "loss": 0.8715, + "step": 7479 + }, + { + "epoch": 0.63, + "learning_rate": 6.270058502779739e-06, + "loss": 0.8656, + "step": 7480 + }, + { + "epoch": 0.63, + "learning_rate": 6.267511788358365e-06, + "loss": 0.8773, + "step": 7481 + }, + { + "epoch": 0.63, + "learning_rate": 6.2649653551701985e-06, + "loss": 0.906, + "step": 7482 + }, + { + "epoch": 0.63, + "learning_rate": 6.2624192034070974e-06, + "loss": 0.8465, + "step": 7483 + }, + { + "epoch": 0.63, + "learning_rate": 6.259873333260917e-06, + "loss": 0.9294, + "step": 7484 + }, + { + "epoch": 0.63, + "learning_rate": 6.2573277449234735e-06, + "loss": 0.556, + "step": 7485 + }, + { + "epoch": 0.63, + "learning_rate": 6.254782438586579e-06, + "loss": 0.863, + "step": 7486 + }, + { + "epoch": 0.63, + "learning_rate": 6.252237414442006e-06, + "loss": 0.8455, + "step": 7487 + }, + { + "epoch": 0.63, + "learning_rate": 6.2496926726815246e-06, + "loss": 0.8861, + "step": 7488 + }, + { + "epoch": 0.63, + "learning_rate": 6.247148213496867e-06, + "loss": 0.9104, + "step": 7489 + }, + { + "epoch": 0.63, + "learning_rate": 6.244604037079754e-06, + "loss": 0.8244, + "step": 7490 + }, + { + "epoch": 0.63, + "learning_rate": 6.2420601436218855e-06, + "loss": 0.8736, + "step": 7491 + }, + { + "epoch": 0.63, + "learning_rate": 6.239516533314931e-06, + "loss": 0.8809, + "step": 7492 + }, + { + "epoch": 0.64, + "learning_rate": 6.236973206350554e-06, + "loss": 0.8788, + "step": 7493 + }, + { + "epoch": 0.64, + "learning_rate": 6.234430162920378e-06, + "loss": 0.8979, + "step": 7494 + }, + { + "epoch": 0.64, + "learning_rate": 6.231887403216024e-06, + "loss": 0.8057, + "step": 7495 + }, + { + "epoch": 0.64, + "learning_rate": 6.22934492742907e-06, + "loss": 0.9001, + "step": 7496 + }, + { + "epoch": 0.64, + "learning_rate": 6.2268027357510985e-06, + "loss": 0.8634, + "step": 7497 + }, + { + "epoch": 0.64, + "learning_rate": 6.224260828373647e-06, + "loss": 0.8767, + "step": 7498 + }, + { + "epoch": 0.64, + "learning_rate": 6.221719205488248e-06, + "loss": 0.8784, + "step": 7499 + }, + { + "epoch": 0.64, + "learning_rate": 6.219177867286403e-06, + "loss": 0.8849, + "step": 7500 + }, + { + "epoch": 0.64, + "learning_rate": 6.216636813959594e-06, + "loss": 0.8854, + "step": 7501 + }, + { + "epoch": 0.64, + "learning_rate": 6.214096045699285e-06, + "loss": 0.9238, + "step": 7502 + }, + { + "epoch": 0.64, + "learning_rate": 6.211555562696914e-06, + "loss": 0.8443, + "step": 7503 + }, + { + "epoch": 0.64, + "learning_rate": 6.209015365143902e-06, + "loss": 0.908, + "step": 7504 + }, + { + "epoch": 0.64, + "learning_rate": 6.206475453231644e-06, + "loss": 0.8548, + "step": 7505 + }, + { + "epoch": 0.64, + "learning_rate": 6.2039358271515194e-06, + "loss": 0.8664, + "step": 7506 + }, + { + "epoch": 0.64, + "learning_rate": 6.201396487094877e-06, + "loss": 0.906, + "step": 7507 + }, + { + "epoch": 0.64, + "learning_rate": 6.198857433253056e-06, + "loss": 0.8978, + "step": 7508 + }, + { + "epoch": 0.64, + "learning_rate": 6.196318665817363e-06, + "loss": 0.9064, + "step": 7509 + }, + { + "epoch": 0.64, + "learning_rate": 6.193780184979087e-06, + "loss": 0.897, + "step": 7510 + }, + { + "epoch": 0.64, + "learning_rate": 6.191241990929498e-06, + "loss": 0.8957, + "step": 7511 + }, + { + "epoch": 0.64, + "learning_rate": 6.188704083859839e-06, + "loss": 0.8964, + "step": 7512 + }, + { + "epoch": 0.64, + "learning_rate": 6.18616646396134e-06, + "loss": 0.8907, + "step": 7513 + }, + { + "epoch": 0.64, + "learning_rate": 6.1836291314252e-06, + "loss": 0.8581, + "step": 7514 + }, + { + "epoch": 0.64, + "learning_rate": 6.181092086442604e-06, + "loss": 0.8842, + "step": 7515 + }, + { + "epoch": 0.64, + "learning_rate": 6.1785553292047055e-06, + "loss": 0.8411, + "step": 7516 + }, + { + "epoch": 0.64, + "learning_rate": 6.17601885990265e-06, + "loss": 0.8644, + "step": 7517 + }, + { + "epoch": 0.64, + "learning_rate": 6.173482678727545e-06, + "loss": 0.8832, + "step": 7518 + }, + { + "epoch": 0.64, + "learning_rate": 6.170946785870495e-06, + "loss": 0.8628, + "step": 7519 + }, + { + "epoch": 0.64, + "learning_rate": 6.168411181522569e-06, + "loss": 0.5636, + "step": 7520 + }, + { + "epoch": 0.64, + "learning_rate": 6.165875865874811e-06, + "loss": 0.5411, + "step": 7521 + }, + { + "epoch": 0.64, + "learning_rate": 6.163340839118261e-06, + "loss": 0.9129, + "step": 7522 + }, + { + "epoch": 0.64, + "learning_rate": 6.160806101443919e-06, + "loss": 0.8629, + "step": 7523 + }, + { + "epoch": 0.64, + "learning_rate": 6.158271653042779e-06, + "loss": 0.9264, + "step": 7524 + }, + { + "epoch": 0.64, + "learning_rate": 6.1557374941057945e-06, + "loss": 0.8786, + "step": 7525 + }, + { + "epoch": 0.64, + "learning_rate": 6.153203624823918e-06, + "loss": 0.9146, + "step": 7526 + }, + { + "epoch": 0.64, + "learning_rate": 6.1506700453880604e-06, + "loss": 0.8337, + "step": 7527 + }, + { + "epoch": 0.64, + "learning_rate": 6.14813675598913e-06, + "loss": 0.8739, + "step": 7528 + }, + { + "epoch": 0.64, + "learning_rate": 6.145603756817994e-06, + "loss": 0.8793, + "step": 7529 + }, + { + "epoch": 0.64, + "learning_rate": 6.143071048065517e-06, + "loss": 0.8591, + "step": 7530 + }, + { + "epoch": 0.64, + "learning_rate": 6.140538629922522e-06, + "loss": 0.9329, + "step": 7531 + }, + { + "epoch": 0.64, + "learning_rate": 6.1380065025798275e-06, + "loss": 0.8799, + "step": 7532 + }, + { + "epoch": 0.64, + "learning_rate": 6.135474666228218e-06, + "loss": 0.8948, + "step": 7533 + }, + { + "epoch": 0.64, + "learning_rate": 6.1329431210584624e-06, + "loss": 0.8683, + "step": 7534 + }, + { + "epoch": 0.64, + "learning_rate": 6.13041186726131e-06, + "loss": 0.8858, + "step": 7535 + }, + { + "epoch": 0.64, + "learning_rate": 6.127880905027476e-06, + "loss": 0.8785, + "step": 7536 + }, + { + "epoch": 0.64, + "learning_rate": 6.12535023454767e-06, + "loss": 0.5671, + "step": 7537 + }, + { + "epoch": 0.64, + "learning_rate": 6.122819856012564e-06, + "loss": 0.9103, + "step": 7538 + }, + { + "epoch": 0.64, + "learning_rate": 6.120289769612824e-06, + "loss": 0.9115, + "step": 7539 + }, + { + "epoch": 0.64, + "learning_rate": 6.117759975539075e-06, + "loss": 0.8927, + "step": 7540 + }, + { + "epoch": 0.64, + "learning_rate": 6.115230473981939e-06, + "loss": 0.8751, + "step": 7541 + }, + { + "epoch": 0.64, + "learning_rate": 6.1127012651320065e-06, + "loss": 0.9058, + "step": 7542 + }, + { + "epoch": 0.64, + "learning_rate": 6.110172349179839e-06, + "loss": 0.8843, + "step": 7543 + }, + { + "epoch": 0.64, + "learning_rate": 6.107643726315993e-06, + "loss": 0.816, + "step": 7544 + }, + { + "epoch": 0.64, + "learning_rate": 6.105115396730985e-06, + "loss": 0.8771, + "step": 7545 + }, + { + "epoch": 0.64, + "learning_rate": 6.1025873606153285e-06, + "loss": 0.8459, + "step": 7546 + }, + { + "epoch": 0.64, + "learning_rate": 6.100059618159493e-06, + "loss": 0.5001, + "step": 7547 + }, + { + "epoch": 0.64, + "learning_rate": 6.097532169553947e-06, + "loss": 0.9256, + "step": 7548 + }, + { + "epoch": 0.64, + "learning_rate": 6.095005014989119e-06, + "loss": 0.813, + "step": 7549 + }, + { + "epoch": 0.64, + "learning_rate": 6.092478154655431e-06, + "loss": 0.8729, + "step": 7550 + }, + { + "epoch": 0.64, + "learning_rate": 6.08995158874327e-06, + "loss": 0.9079, + "step": 7551 + }, + { + "epoch": 0.64, + "learning_rate": 6.087425317443007e-06, + "loss": 0.8456, + "step": 7552 + }, + { + "epoch": 0.64, + "learning_rate": 6.084899340944993e-06, + "loss": 0.8522, + "step": 7553 + }, + { + "epoch": 0.64, + "learning_rate": 6.08237365943955e-06, + "loss": 0.827, + "step": 7554 + }, + { + "epoch": 0.64, + "learning_rate": 6.079848273116983e-06, + "loss": 0.8965, + "step": 7555 + }, + { + "epoch": 0.64, + "learning_rate": 6.077323182167572e-06, + "loss": 0.864, + "step": 7556 + }, + { + "epoch": 0.64, + "learning_rate": 6.07479838678158e-06, + "loss": 0.9122, + "step": 7557 + }, + { + "epoch": 0.64, + "learning_rate": 6.072273887149236e-06, + "loss": 0.8494, + "step": 7558 + }, + { + "epoch": 0.64, + "learning_rate": 6.069749683460765e-06, + "loss": 0.8341, + "step": 7559 + }, + { + "epoch": 0.64, + "learning_rate": 6.067225775906349e-06, + "loss": 0.8813, + "step": 7560 + }, + { + "epoch": 0.64, + "learning_rate": 6.0647021646761664e-06, + "loss": 0.8932, + "step": 7561 + }, + { + "epoch": 0.64, + "learning_rate": 6.062178849960359e-06, + "loss": 0.9088, + "step": 7562 + }, + { + "epoch": 0.64, + "learning_rate": 6.0596558319490515e-06, + "loss": 0.9055, + "step": 7563 + }, + { + "epoch": 0.64, + "learning_rate": 6.057133110832351e-06, + "loss": 0.8753, + "step": 7564 + }, + { + "epoch": 0.64, + "learning_rate": 6.054610686800333e-06, + "loss": 0.8595, + "step": 7565 + }, + { + "epoch": 0.64, + "learning_rate": 6.0520885600430615e-06, + "loss": 0.7933, + "step": 7566 + }, + { + "epoch": 0.64, + "learning_rate": 6.049566730750564e-06, + "loss": 0.8845, + "step": 7567 + }, + { + "epoch": 0.64, + "learning_rate": 6.047045199112865e-06, + "loss": 0.8198, + "step": 7568 + }, + { + "epoch": 0.64, + "learning_rate": 6.044523965319942e-06, + "loss": 0.8301, + "step": 7569 + }, + { + "epoch": 0.64, + "learning_rate": 6.042003029561776e-06, + "loss": 0.8761, + "step": 7570 + }, + { + "epoch": 0.64, + "learning_rate": 6.039482392028302e-06, + "loss": 0.8567, + "step": 7571 + }, + { + "epoch": 0.64, + "learning_rate": 6.036962052909453e-06, + "loss": 0.8857, + "step": 7572 + }, + { + "epoch": 0.64, + "learning_rate": 6.034442012395123e-06, + "loss": 0.8545, + "step": 7573 + }, + { + "epoch": 0.64, + "learning_rate": 6.031922270675193e-06, + "loss": 0.8713, + "step": 7574 + }, + { + "epoch": 0.64, + "learning_rate": 6.029402827939519e-06, + "loss": 0.8477, + "step": 7575 + }, + { + "epoch": 0.64, + "learning_rate": 6.026883684377935e-06, + "loss": 0.8979, + "step": 7576 + }, + { + "epoch": 0.64, + "learning_rate": 6.02436484018025e-06, + "loss": 0.8759, + "step": 7577 + }, + { + "epoch": 0.64, + "learning_rate": 6.021846295536251e-06, + "loss": 0.9262, + "step": 7578 + }, + { + "epoch": 0.64, + "learning_rate": 6.019328050635711e-06, + "loss": 0.8067, + "step": 7579 + }, + { + "epoch": 0.64, + "learning_rate": 6.016810105668365e-06, + "loss": 0.8636, + "step": 7580 + }, + { + "epoch": 0.64, + "learning_rate": 6.014292460823938e-06, + "loss": 0.8872, + "step": 7581 + }, + { + "epoch": 0.64, + "learning_rate": 6.011775116292125e-06, + "loss": 0.8537, + "step": 7582 + }, + { + "epoch": 0.64, + "learning_rate": 6.009258072262607e-06, + "loss": 0.5651, + "step": 7583 + }, + { + "epoch": 0.64, + "learning_rate": 6.006741328925033e-06, + "loss": 0.8836, + "step": 7584 + }, + { + "epoch": 0.64, + "learning_rate": 6.0042248864690275e-06, + "loss": 0.8768, + "step": 7585 + }, + { + "epoch": 0.64, + "learning_rate": 6.001708745084209e-06, + "loss": 0.8679, + "step": 7586 + }, + { + "epoch": 0.64, + "learning_rate": 5.999192904960151e-06, + "loss": 0.8588, + "step": 7587 + }, + { + "epoch": 0.64, + "learning_rate": 5.996677366286425e-06, + "loss": 0.9034, + "step": 7588 + }, + { + "epoch": 0.64, + "learning_rate": 5.994162129252561e-06, + "loss": 0.881, + "step": 7589 + }, + { + "epoch": 0.64, + "learning_rate": 5.991647194048087e-06, + "loss": 0.8819, + "step": 7590 + }, + { + "epoch": 0.64, + "learning_rate": 5.989132560862484e-06, + "loss": 0.9103, + "step": 7591 + }, + { + "epoch": 0.64, + "learning_rate": 5.986618229885234e-06, + "loss": 0.9073, + "step": 7592 + }, + { + "epoch": 0.64, + "learning_rate": 5.984104201305778e-06, + "loss": 0.8996, + "step": 7593 + }, + { + "epoch": 0.64, + "learning_rate": 5.981590475313544e-06, + "loss": 0.9058, + "step": 7594 + }, + { + "epoch": 0.64, + "learning_rate": 5.979077052097936e-06, + "loss": 0.856, + "step": 7595 + }, + { + "epoch": 0.64, + "learning_rate": 5.976563931848332e-06, + "loss": 0.8673, + "step": 7596 + }, + { + "epoch": 0.64, + "learning_rate": 5.974051114754089e-06, + "loss": 0.8464, + "step": 7597 + }, + { + "epoch": 0.64, + "learning_rate": 5.971538601004542e-06, + "loss": 0.8225, + "step": 7598 + }, + { + "epoch": 0.64, + "learning_rate": 5.969026390789001e-06, + "loss": 0.9027, + "step": 7599 + }, + { + "epoch": 0.64, + "learning_rate": 5.966514484296755e-06, + "loss": 0.8425, + "step": 7600 + }, + { + "epoch": 0.64, + "learning_rate": 5.964002881717073e-06, + "loss": 0.8824, + "step": 7601 + }, + { + "epoch": 0.64, + "learning_rate": 5.961491583239192e-06, + "loss": 0.889, + "step": 7602 + }, + { + "epoch": 0.64, + "learning_rate": 5.958980589052338e-06, + "loss": 0.633, + "step": 7603 + }, + { + "epoch": 0.64, + "learning_rate": 5.956469899345704e-06, + "loss": 0.8838, + "step": 7604 + }, + { + "epoch": 0.64, + "learning_rate": 5.95395951430846e-06, + "loss": 0.846, + "step": 7605 + }, + { + "epoch": 0.64, + "learning_rate": 5.951449434129766e-06, + "loss": 0.8901, + "step": 7606 + }, + { + "epoch": 0.64, + "learning_rate": 5.94893965899874e-06, + "loss": 0.9382, + "step": 7607 + }, + { + "epoch": 0.64, + "learning_rate": 5.946430189104497e-06, + "loss": 0.8471, + "step": 7608 + }, + { + "epoch": 0.64, + "learning_rate": 5.94392102463611e-06, + "loss": 0.8543, + "step": 7609 + }, + { + "epoch": 0.64, + "learning_rate": 5.941412165782645e-06, + "loss": 0.86, + "step": 7610 + }, + { + "epoch": 0.65, + "learning_rate": 5.938903612733132e-06, + "loss": 0.8397, + "step": 7611 + }, + { + "epoch": 0.65, + "learning_rate": 5.93639536567659e-06, + "loss": 0.8895, + "step": 7612 + }, + { + "epoch": 0.65, + "learning_rate": 5.933887424802003e-06, + "loss": 0.9123, + "step": 7613 + }, + { + "epoch": 0.65, + "learning_rate": 5.931379790298344e-06, + "loss": 0.876, + "step": 7614 + }, + { + "epoch": 0.65, + "learning_rate": 5.928872462354551e-06, + "loss": 0.5041, + "step": 7615 + }, + { + "epoch": 0.65, + "learning_rate": 5.926365441159547e-06, + "loss": 0.8616, + "step": 7616 + }, + { + "epoch": 0.65, + "learning_rate": 5.9238587269022296e-06, + "loss": 0.8696, + "step": 7617 + }, + { + "epoch": 0.65, + "learning_rate": 5.921352319771472e-06, + "loss": 0.8494, + "step": 7618 + }, + { + "epoch": 0.65, + "learning_rate": 5.918846219956126e-06, + "loss": 0.9118, + "step": 7619 + }, + { + "epoch": 0.65, + "learning_rate": 5.91634042764502e-06, + "loss": 0.8607, + "step": 7620 + }, + { + "epoch": 0.65, + "learning_rate": 5.91383494302696e-06, + "loss": 0.8849, + "step": 7621 + }, + { + "epoch": 0.65, + "learning_rate": 5.911329766290723e-06, + "loss": 0.8703, + "step": 7622 + }, + { + "epoch": 0.65, + "learning_rate": 5.908824897625075e-06, + "loss": 0.8755, + "step": 7623 + }, + { + "epoch": 0.65, + "learning_rate": 5.906320337218743e-06, + "loss": 0.8435, + "step": 7624 + }, + { + "epoch": 0.65, + "learning_rate": 5.903816085260447e-06, + "loss": 0.8411, + "step": 7625 + }, + { + "epoch": 0.65, + "learning_rate": 5.901312141938874e-06, + "loss": 0.8796, + "step": 7626 + }, + { + "epoch": 0.65, + "learning_rate": 5.898808507442683e-06, + "loss": 0.9045, + "step": 7627 + }, + { + "epoch": 0.65, + "learning_rate": 5.896305181960524e-06, + "loss": 0.8518, + "step": 7628 + }, + { + "epoch": 0.65, + "learning_rate": 5.89380216568101e-06, + "loss": 0.8376, + "step": 7629 + }, + { + "epoch": 0.65, + "learning_rate": 5.891299458792743e-06, + "loss": 0.8338, + "step": 7630 + }, + { + "epoch": 0.65, + "learning_rate": 5.888797061484288e-06, + "loss": 0.8771, + "step": 7631 + }, + { + "epoch": 0.65, + "learning_rate": 5.886294973944202e-06, + "loss": 0.9122, + "step": 7632 + }, + { + "epoch": 0.65, + "learning_rate": 5.883793196361004e-06, + "loss": 0.8476, + "step": 7633 + }, + { + "epoch": 0.65, + "learning_rate": 5.881291728923202e-06, + "loss": 0.9085, + "step": 7634 + }, + { + "epoch": 0.65, + "learning_rate": 5.878790571819272e-06, + "loss": 0.8639, + "step": 7635 + }, + { + "epoch": 0.65, + "learning_rate": 5.876289725237668e-06, + "loss": 0.8773, + "step": 7636 + }, + { + "epoch": 0.65, + "learning_rate": 5.8737891893668255e-06, + "loss": 0.8812, + "step": 7637 + }, + { + "epoch": 0.65, + "learning_rate": 5.871288964395152e-06, + "loss": 0.8975, + "step": 7638 + }, + { + "epoch": 0.65, + "learning_rate": 5.868789050511032e-06, + "loss": 0.8476, + "step": 7639 + }, + { + "epoch": 0.65, + "learning_rate": 5.866289447902829e-06, + "loss": 0.8611, + "step": 7640 + }, + { + "epoch": 0.65, + "learning_rate": 5.86379015675888e-06, + "loss": 0.8987, + "step": 7641 + }, + { + "epoch": 0.65, + "learning_rate": 5.861291177267502e-06, + "loss": 0.8125, + "step": 7642 + }, + { + "epoch": 0.65, + "learning_rate": 5.858792509616984e-06, + "loss": 0.8521, + "step": 7643 + }, + { + "epoch": 0.65, + "learning_rate": 5.856294153995595e-06, + "loss": 0.8776, + "step": 7644 + }, + { + "epoch": 0.65, + "learning_rate": 5.853796110591583e-06, + "loss": 0.888, + "step": 7645 + }, + { + "epoch": 0.65, + "learning_rate": 5.8512983795931665e-06, + "loss": 0.8779, + "step": 7646 + }, + { + "epoch": 0.65, + "learning_rate": 5.848800961188539e-06, + "loss": 0.8896, + "step": 7647 + }, + { + "epoch": 0.65, + "learning_rate": 5.846303855565883e-06, + "loss": 0.8968, + "step": 7648 + }, + { + "epoch": 0.65, + "learning_rate": 5.843807062913338e-06, + "loss": 0.88, + "step": 7649 + }, + { + "epoch": 0.65, + "learning_rate": 5.841310583419041e-06, + "loss": 0.8966, + "step": 7650 + }, + { + "epoch": 0.65, + "learning_rate": 5.838814417271087e-06, + "loss": 0.874, + "step": 7651 + }, + { + "epoch": 0.65, + "learning_rate": 5.836318564657561e-06, + "loss": 0.8503, + "step": 7652 + }, + { + "epoch": 0.65, + "learning_rate": 5.833823025766518e-06, + "loss": 0.8393, + "step": 7653 + }, + { + "epoch": 0.65, + "learning_rate": 5.8313278007859886e-06, + "loss": 0.8784, + "step": 7654 + }, + { + "epoch": 0.65, + "learning_rate": 5.828832889903983e-06, + "loss": 0.8622, + "step": 7655 + }, + { + "epoch": 0.65, + "learning_rate": 5.826338293308486e-06, + "loss": 0.8581, + "step": 7656 + }, + { + "epoch": 0.65, + "learning_rate": 5.8238440111874625e-06, + "loss": 0.867, + "step": 7657 + }, + { + "epoch": 0.65, + "learning_rate": 5.82135004372884e-06, + "loss": 0.9125, + "step": 7658 + }, + { + "epoch": 0.65, + "learning_rate": 5.818856391120544e-06, + "loss": 0.8955, + "step": 7659 + }, + { + "epoch": 0.65, + "learning_rate": 5.816363053550453e-06, + "loss": 0.8201, + "step": 7660 + }, + { + "epoch": 0.65, + "learning_rate": 5.813870031206448e-06, + "loss": 0.926, + "step": 7661 + }, + { + "epoch": 0.65, + "learning_rate": 5.811377324276354e-06, + "loss": 0.8577, + "step": 7662 + }, + { + "epoch": 0.65, + "learning_rate": 5.808884932948008e-06, + "loss": 0.868, + "step": 7663 + }, + { + "epoch": 0.65, + "learning_rate": 5.806392857409189e-06, + "loss": 0.9204, + "step": 7664 + }, + { + "epoch": 0.65, + "learning_rate": 5.803901097847684e-06, + "loss": 0.9197, + "step": 7665 + }, + { + "epoch": 0.65, + "learning_rate": 5.801409654451224e-06, + "loss": 0.8939, + "step": 7666 + }, + { + "epoch": 0.65, + "learning_rate": 5.798918527407549e-06, + "loss": 0.9166, + "step": 7667 + }, + { + "epoch": 0.65, + "learning_rate": 5.796427716904347e-06, + "loss": 0.8694, + "step": 7668 + }, + { + "epoch": 0.65, + "learning_rate": 5.7939372231293e-06, + "loss": 0.9111, + "step": 7669 + }, + { + "epoch": 0.65, + "learning_rate": 5.791447046270055e-06, + "loss": 0.8972, + "step": 7670 + }, + { + "epoch": 0.65, + "learning_rate": 5.788957186514247e-06, + "loss": 0.903, + "step": 7671 + }, + { + "epoch": 0.65, + "learning_rate": 5.786467644049476e-06, + "loss": 0.8863, + "step": 7672 + }, + { + "epoch": 0.65, + "learning_rate": 5.783978419063323e-06, + "loss": 0.8425, + "step": 7673 + }, + { + "epoch": 0.65, + "learning_rate": 5.781489511743345e-06, + "loss": 0.5357, + "step": 7674 + }, + { + "epoch": 0.65, + "learning_rate": 5.779000922277076e-06, + "loss": 0.8643, + "step": 7675 + }, + { + "epoch": 0.65, + "learning_rate": 5.7765126508520216e-06, + "loss": 0.877, + "step": 7676 + }, + { + "epoch": 0.65, + "learning_rate": 5.77402469765567e-06, + "loss": 0.9044, + "step": 7677 + }, + { + "epoch": 0.65, + "learning_rate": 5.771537062875481e-06, + "loss": 0.903, + "step": 7678 + }, + { + "epoch": 0.65, + "learning_rate": 5.769049746698889e-06, + "loss": 0.8349, + "step": 7679 + }, + { + "epoch": 0.65, + "learning_rate": 5.766562749313309e-06, + "loss": 0.8833, + "step": 7680 + }, + { + "epoch": 0.65, + "learning_rate": 5.764076070906128e-06, + "loss": 0.8584, + "step": 7681 + }, + { + "epoch": 0.65, + "learning_rate": 5.761589711664714e-06, + "loss": 0.8825, + "step": 7682 + }, + { + "epoch": 0.65, + "learning_rate": 5.759103671776405e-06, + "loss": 0.8808, + "step": 7683 + }, + { + "epoch": 0.65, + "learning_rate": 5.756617951428517e-06, + "loss": 0.8928, + "step": 7684 + }, + { + "epoch": 0.65, + "learning_rate": 5.754132550808345e-06, + "loss": 0.8931, + "step": 7685 + }, + { + "epoch": 0.65, + "learning_rate": 5.751647470103155e-06, + "loss": 0.9063, + "step": 7686 + }, + { + "epoch": 0.65, + "learning_rate": 5.7491627095001925e-06, + "loss": 0.864, + "step": 7687 + }, + { + "epoch": 0.65, + "learning_rate": 5.746678269186682e-06, + "loss": 0.88, + "step": 7688 + }, + { + "epoch": 0.65, + "learning_rate": 5.744194149349807e-06, + "loss": 0.8912, + "step": 7689 + }, + { + "epoch": 0.65, + "learning_rate": 5.741710350176751e-06, + "loss": 0.8864, + "step": 7690 + }, + { + "epoch": 0.65, + "learning_rate": 5.739226871854659e-06, + "loss": 0.8516, + "step": 7691 + }, + { + "epoch": 0.65, + "learning_rate": 5.736743714570654e-06, + "loss": 0.9121, + "step": 7692 + }, + { + "epoch": 0.65, + "learning_rate": 5.734260878511835e-06, + "loss": 0.8724, + "step": 7693 + }, + { + "epoch": 0.65, + "learning_rate": 5.731778363865278e-06, + "loss": 0.8475, + "step": 7694 + }, + { + "epoch": 0.65, + "learning_rate": 5.729296170818033e-06, + "loss": 0.8849, + "step": 7695 + }, + { + "epoch": 0.65, + "learning_rate": 5.726814299557128e-06, + "loss": 0.878, + "step": 7696 + }, + { + "epoch": 0.65, + "learning_rate": 5.724332750269563e-06, + "loss": 0.8814, + "step": 7697 + }, + { + "epoch": 0.65, + "learning_rate": 5.721851523142319e-06, + "loss": 0.8563, + "step": 7698 + }, + { + "epoch": 0.65, + "learning_rate": 5.719370618362353e-06, + "loss": 0.8321, + "step": 7699 + }, + { + "epoch": 0.65, + "learning_rate": 5.716890036116582e-06, + "loss": 0.8845, + "step": 7700 + }, + { + "epoch": 0.65, + "learning_rate": 5.714409776591929e-06, + "loss": 0.8804, + "step": 7701 + }, + { + "epoch": 0.65, + "learning_rate": 5.711929839975257e-06, + "loss": 0.84, + "step": 7702 + }, + { + "epoch": 0.65, + "learning_rate": 5.709450226453439e-06, + "loss": 0.8842, + "step": 7703 + }, + { + "epoch": 0.65, + "learning_rate": 5.706970936213294e-06, + "loss": 0.877, + "step": 7704 + }, + { + "epoch": 0.65, + "learning_rate": 5.704491969441643e-06, + "loss": 0.884, + "step": 7705 + }, + { + "epoch": 0.65, + "learning_rate": 5.702013326325256e-06, + "loss": 0.8207, + "step": 7706 + }, + { + "epoch": 0.65, + "learning_rate": 5.699535007050905e-06, + "loss": 0.8363, + "step": 7707 + }, + { + "epoch": 0.65, + "learning_rate": 5.6970570118053116e-06, + "loss": 0.8638, + "step": 7708 + }, + { + "epoch": 0.65, + "learning_rate": 5.694579340775202e-06, + "loss": 0.9003, + "step": 7709 + }, + { + "epoch": 0.65, + "learning_rate": 5.69210199414725e-06, + "loss": 0.8535, + "step": 7710 + }, + { + "epoch": 0.65, + "learning_rate": 5.68962497210812e-06, + "loss": 0.8253, + "step": 7711 + }, + { + "epoch": 0.65, + "learning_rate": 5.687148274844449e-06, + "loss": 0.9001, + "step": 7712 + }, + { + "epoch": 0.65, + "learning_rate": 5.684671902542853e-06, + "loss": 0.9078, + "step": 7713 + }, + { + "epoch": 0.65, + "learning_rate": 5.682195855389917e-06, + "loss": 0.8707, + "step": 7714 + }, + { + "epoch": 0.65, + "learning_rate": 5.6797201335722064e-06, + "loss": 0.8547, + "step": 7715 + }, + { + "epoch": 0.65, + "learning_rate": 5.677244737276258e-06, + "loss": 0.8388, + "step": 7716 + }, + { + "epoch": 0.65, + "learning_rate": 5.674769666688589e-06, + "loss": 0.9145, + "step": 7717 + }, + { + "epoch": 0.65, + "learning_rate": 5.672294921995687e-06, + "loss": 0.9115, + "step": 7718 + }, + { + "epoch": 0.65, + "learning_rate": 5.669820503384019e-06, + "loss": 0.829, + "step": 7719 + }, + { + "epoch": 0.65, + "learning_rate": 5.667346411040026e-06, + "loss": 0.821, + "step": 7720 + }, + { + "epoch": 0.65, + "learning_rate": 5.664872645150126e-06, + "loss": 0.8837, + "step": 7721 + }, + { + "epoch": 0.65, + "learning_rate": 5.6623992059007075e-06, + "loss": 0.8628, + "step": 7722 + }, + { + "epoch": 0.65, + "learning_rate": 5.6599260934781386e-06, + "loss": 0.9045, + "step": 7723 + }, + { + "epoch": 0.65, + "learning_rate": 5.657453308068763e-06, + "loss": 0.894, + "step": 7724 + }, + { + "epoch": 0.65, + "learning_rate": 5.6549808498588986e-06, + "loss": 0.8545, + "step": 7725 + }, + { + "epoch": 0.65, + "learning_rate": 5.652508719034837e-06, + "loss": 0.859, + "step": 7726 + }, + { + "epoch": 0.65, + "learning_rate": 5.650036915782849e-06, + "loss": 0.8358, + "step": 7727 + }, + { + "epoch": 0.65, + "learning_rate": 5.647565440289177e-06, + "loss": 0.8686, + "step": 7728 + }, + { + "epoch": 0.66, + "learning_rate": 5.6450942927400396e-06, + "loss": 0.9002, + "step": 7729 + }, + { + "epoch": 0.66, + "learning_rate": 5.642623473321638e-06, + "loss": 0.8553, + "step": 7730 + }, + { + "epoch": 0.66, + "learning_rate": 5.640152982220126e-06, + "loss": 0.9259, + "step": 7731 + }, + { + "epoch": 0.66, + "learning_rate": 5.637682819621668e-06, + "loss": 0.8578, + "step": 7732 + }, + { + "epoch": 0.66, + "learning_rate": 5.635212985712366e-06, + "loss": 0.8713, + "step": 7733 + }, + { + "epoch": 0.66, + "learning_rate": 5.632743480678331e-06, + "loss": 0.8911, + "step": 7734 + }, + { + "epoch": 0.66, + "learning_rate": 5.630274304705625e-06, + "loss": 0.9396, + "step": 7735 + }, + { + "epoch": 0.66, + "learning_rate": 5.627805457980298e-06, + "loss": 0.8562, + "step": 7736 + }, + { + "epoch": 0.66, + "learning_rate": 5.6253369406883675e-06, + "loss": 0.5559, + "step": 7737 + }, + { + "epoch": 0.66, + "learning_rate": 5.622868753015833e-06, + "loss": 0.8321, + "step": 7738 + }, + { + "epoch": 0.66, + "learning_rate": 5.6204008951486636e-06, + "loss": 0.9234, + "step": 7739 + }, + { + "epoch": 0.66, + "learning_rate": 5.617933367272808e-06, + "loss": 0.8984, + "step": 7740 + }, + { + "epoch": 0.66, + "learning_rate": 5.61546616957419e-06, + "loss": 0.8859, + "step": 7741 + }, + { + "epoch": 0.66, + "learning_rate": 5.612999302238696e-06, + "loss": 0.905, + "step": 7742 + }, + { + "epoch": 0.66, + "learning_rate": 5.610532765452215e-06, + "loss": 0.8769, + "step": 7743 + }, + { + "epoch": 0.66, + "learning_rate": 5.608066559400574e-06, + "loss": 0.8641, + "step": 7744 + }, + { + "epoch": 0.66, + "learning_rate": 5.6056006842696145e-06, + "loss": 0.8852, + "step": 7745 + }, + { + "epoch": 0.66, + "learning_rate": 5.6031351402451175e-06, + "loss": 0.864, + "step": 7746 + }, + { + "epoch": 0.66, + "learning_rate": 5.6006699275128694e-06, + "loss": 0.8398, + "step": 7747 + }, + { + "epoch": 0.66, + "learning_rate": 5.598205046258603e-06, + "loss": 0.8978, + "step": 7748 + }, + { + "epoch": 0.66, + "learning_rate": 5.5957404966680574e-06, + "loss": 0.9058, + "step": 7749 + }, + { + "epoch": 0.66, + "learning_rate": 5.593276278926912e-06, + "loss": 0.8564, + "step": 7750 + }, + { + "epoch": 0.66, + "learning_rate": 5.5908123932208565e-06, + "loss": 0.8458, + "step": 7751 + }, + { + "epoch": 0.66, + "learning_rate": 5.588348839735527e-06, + "loss": 0.8374, + "step": 7752 + }, + { + "epoch": 0.66, + "learning_rate": 5.5858856186565466e-06, + "loss": 0.8766, + "step": 7753 + }, + { + "epoch": 0.66, + "learning_rate": 5.5834227301695166e-06, + "loss": 0.4971, + "step": 7754 + }, + { + "epoch": 0.66, + "learning_rate": 5.580960174460006e-06, + "loss": 0.8526, + "step": 7755 + }, + { + "epoch": 0.66, + "learning_rate": 5.5784979517135625e-06, + "loss": 0.856, + "step": 7756 + }, + { + "epoch": 0.66, + "learning_rate": 5.576036062115709e-06, + "loss": 0.5753, + "step": 7757 + }, + { + "epoch": 0.66, + "learning_rate": 5.5735745058519445e-06, + "loss": 0.895, + "step": 7758 + }, + { + "epoch": 0.66, + "learning_rate": 5.571113283107735e-06, + "loss": 0.8808, + "step": 7759 + }, + { + "epoch": 0.66, + "learning_rate": 5.568652394068532e-06, + "loss": 0.5162, + "step": 7760 + }, + { + "epoch": 0.66, + "learning_rate": 5.566191838919757e-06, + "loss": 0.8174, + "step": 7761 + }, + { + "epoch": 0.66, + "learning_rate": 5.563731617846804e-06, + "loss": 0.853, + "step": 7762 + }, + { + "epoch": 0.66, + "learning_rate": 5.561271731035045e-06, + "loss": 0.9108, + "step": 7763 + }, + { + "epoch": 0.66, + "learning_rate": 5.558812178669827e-06, + "loss": 0.8659, + "step": 7764 + }, + { + "epoch": 0.66, + "learning_rate": 5.55635296093647e-06, + "loss": 0.8672, + "step": 7765 + }, + { + "epoch": 0.66, + "learning_rate": 5.55389407802027e-06, + "loss": 0.8534, + "step": 7766 + }, + { + "epoch": 0.66, + "learning_rate": 5.551435530106496e-06, + "loss": 0.8671, + "step": 7767 + }, + { + "epoch": 0.66, + "learning_rate": 5.548977317380395e-06, + "loss": 0.8869, + "step": 7768 + }, + { + "epoch": 0.66, + "learning_rate": 5.546519440027186e-06, + "loss": 0.8746, + "step": 7769 + }, + { + "epoch": 0.66, + "learning_rate": 5.544061898232064e-06, + "loss": 0.9197, + "step": 7770 + }, + { + "epoch": 0.66, + "learning_rate": 5.541604692180198e-06, + "loss": 0.8796, + "step": 7771 + }, + { + "epoch": 0.66, + "learning_rate": 5.539147822056736e-06, + "loss": 0.8771, + "step": 7772 + }, + { + "epoch": 0.66, + "learning_rate": 5.536691288046785e-06, + "loss": 0.8638, + "step": 7773 + }, + { + "epoch": 0.66, + "learning_rate": 5.534235090335453e-06, + "loss": 0.9036, + "step": 7774 + }, + { + "epoch": 0.66, + "learning_rate": 5.531779229107797e-06, + "loss": 0.8883, + "step": 7775 + }, + { + "epoch": 0.66, + "learning_rate": 5.529323704548868e-06, + "loss": 0.9178, + "step": 7776 + }, + { + "epoch": 0.66, + "learning_rate": 5.526868516843673e-06, + "loss": 0.8708, + "step": 7777 + }, + { + "epoch": 0.66, + "learning_rate": 5.524413666177216e-06, + "loss": 0.8856, + "step": 7778 + }, + { + "epoch": 0.66, + "learning_rate": 5.521959152734455e-06, + "loss": 0.8752, + "step": 7779 + }, + { + "epoch": 0.66, + "learning_rate": 5.519504976700335e-06, + "loss": 0.8815, + "step": 7780 + }, + { + "epoch": 0.66, + "learning_rate": 5.517051138259771e-06, + "loss": 0.8712, + "step": 7781 + }, + { + "epoch": 0.66, + "learning_rate": 5.514597637597654e-06, + "loss": 0.8529, + "step": 7782 + }, + { + "epoch": 0.66, + "learning_rate": 5.5121444748988505e-06, + "loss": 0.8595, + "step": 7783 + }, + { + "epoch": 0.66, + "learning_rate": 5.50969165034819e-06, + "loss": 0.9172, + "step": 7784 + }, + { + "epoch": 0.66, + "learning_rate": 5.507239164130501e-06, + "loss": 0.8888, + "step": 7785 + }, + { + "epoch": 0.66, + "learning_rate": 5.5047870164305576e-06, + "loss": 0.8431, + "step": 7786 + }, + { + "epoch": 0.66, + "learning_rate": 5.502335207433136e-06, + "loss": 0.9014, + "step": 7787 + }, + { + "epoch": 0.66, + "learning_rate": 5.49988373732296e-06, + "loss": 0.8944, + "step": 7788 + }, + { + "epoch": 0.66, + "learning_rate": 5.497432606284758e-06, + "loss": 0.8703, + "step": 7789 + }, + { + "epoch": 0.66, + "learning_rate": 5.494981814503199e-06, + "loss": 0.8678, + "step": 7790 + }, + { + "epoch": 0.66, + "learning_rate": 5.4925313621629585e-06, + "loss": 0.8797, + "step": 7791 + }, + { + "epoch": 0.66, + "learning_rate": 5.4900812494486575e-06, + "loss": 0.8703, + "step": 7792 + }, + { + "epoch": 0.66, + "learning_rate": 5.487631476544921e-06, + "loss": 0.9237, + "step": 7793 + }, + { + "epoch": 0.66, + "learning_rate": 5.48518204363632e-06, + "loss": 0.8973, + "step": 7794 + }, + { + "epoch": 0.66, + "learning_rate": 5.482732950907419e-06, + "loss": 0.9124, + "step": 7795 + }, + { + "epoch": 0.66, + "learning_rate": 5.480284198542749e-06, + "loss": 0.8855, + "step": 7796 + }, + { + "epoch": 0.66, + "learning_rate": 5.477835786726817e-06, + "loss": 0.8992, + "step": 7797 + }, + { + "epoch": 0.66, + "learning_rate": 5.475387715644107e-06, + "loss": 0.8591, + "step": 7798 + }, + { + "epoch": 0.66, + "learning_rate": 5.472939985479071e-06, + "loss": 0.8894, + "step": 7799 + }, + { + "epoch": 0.66, + "learning_rate": 5.4704925964161416e-06, + "loss": 0.8611, + "step": 7800 + }, + { + "epoch": 0.66, + "learning_rate": 5.468045548639722e-06, + "loss": 0.8373, + "step": 7801 + }, + { + "epoch": 0.66, + "learning_rate": 5.465598842334192e-06, + "loss": 0.8701, + "step": 7802 + }, + { + "epoch": 0.66, + "learning_rate": 5.463152477683902e-06, + "loss": 0.8519, + "step": 7803 + }, + { + "epoch": 0.66, + "learning_rate": 5.4607064548731825e-06, + "loss": 0.8821, + "step": 7804 + }, + { + "epoch": 0.66, + "learning_rate": 5.458260774086332e-06, + "loss": 0.8951, + "step": 7805 + }, + { + "epoch": 0.66, + "learning_rate": 5.455815435507627e-06, + "loss": 0.8603, + "step": 7806 + }, + { + "epoch": 0.66, + "learning_rate": 5.4533704393213204e-06, + "loss": 0.8634, + "step": 7807 + }, + { + "epoch": 0.66, + "learning_rate": 5.450925785711632e-06, + "loss": 0.8665, + "step": 7808 + }, + { + "epoch": 0.66, + "learning_rate": 5.4484814748627614e-06, + "loss": 0.8681, + "step": 7809 + }, + { + "epoch": 0.66, + "learning_rate": 5.4460375069588815e-06, + "loss": 0.9224, + "step": 7810 + }, + { + "epoch": 0.66, + "learning_rate": 5.443593882184139e-06, + "loss": 0.8838, + "step": 7811 + }, + { + "epoch": 0.66, + "learning_rate": 5.441150600722653e-06, + "loss": 0.8731, + "step": 7812 + }, + { + "epoch": 0.66, + "learning_rate": 5.438707662758521e-06, + "loss": 0.8951, + "step": 7813 + }, + { + "epoch": 0.66, + "learning_rate": 5.436265068475815e-06, + "loss": 0.9006, + "step": 7814 + }, + { + "epoch": 0.66, + "learning_rate": 5.433822818058565e-06, + "loss": 0.903, + "step": 7815 + }, + { + "epoch": 0.66, + "learning_rate": 5.431380911690805e-06, + "loss": 0.8791, + "step": 7816 + }, + { + "epoch": 0.66, + "learning_rate": 5.4289393495565076e-06, + "loss": 0.8588, + "step": 7817 + }, + { + "epoch": 0.66, + "learning_rate": 5.426498131839659e-06, + "loss": 0.9247, + "step": 7818 + }, + { + "epoch": 0.66, + "learning_rate": 5.42405725872418e-06, + "loss": 0.5713, + "step": 7819 + }, + { + "epoch": 0.66, + "learning_rate": 5.421616730394e-06, + "loss": 0.8287, + "step": 7820 + }, + { + "epoch": 0.66, + "learning_rate": 5.419176547032991e-06, + "loss": 0.8557, + "step": 7821 + }, + { + "epoch": 0.66, + "learning_rate": 5.416736708825025e-06, + "loss": 0.4842, + "step": 7822 + }, + { + "epoch": 0.66, + "learning_rate": 5.414297215953937e-06, + "loss": 0.9097, + "step": 7823 + }, + { + "epoch": 0.66, + "learning_rate": 5.41185806860353e-06, + "loss": 0.5957, + "step": 7824 + }, + { + "epoch": 0.66, + "learning_rate": 5.4094192669575975e-06, + "loss": 0.8752, + "step": 7825 + }, + { + "epoch": 0.66, + "learning_rate": 5.406980811199881e-06, + "loss": 0.8391, + "step": 7826 + }, + { + "epoch": 0.66, + "learning_rate": 5.404542701514131e-06, + "loss": 0.5424, + "step": 7827 + }, + { + "epoch": 0.66, + "learning_rate": 5.402104938084034e-06, + "loss": 0.8698, + "step": 7828 + }, + { + "epoch": 0.66, + "learning_rate": 5.399667521093285e-06, + "loss": 0.8906, + "step": 7829 + }, + { + "epoch": 0.66, + "learning_rate": 5.397230450725523e-06, + "loss": 0.8394, + "step": 7830 + }, + { + "epoch": 0.66, + "learning_rate": 5.394793727164389e-06, + "loss": 0.9103, + "step": 7831 + }, + { + "epoch": 0.66, + "learning_rate": 5.392357350593469e-06, + "loss": 0.7983, + "step": 7832 + }, + { + "epoch": 0.66, + "learning_rate": 5.3899213211963545e-06, + "loss": 0.8961, + "step": 7833 + }, + { + "epoch": 0.66, + "learning_rate": 5.387485639156575e-06, + "loss": 0.8311, + "step": 7834 + }, + { + "epoch": 0.66, + "learning_rate": 5.38505030465767e-06, + "loss": 0.8413, + "step": 7835 + }, + { + "epoch": 0.66, + "learning_rate": 5.3826153178831245e-06, + "loss": 0.8843, + "step": 7836 + }, + { + "epoch": 0.66, + "learning_rate": 5.380180679016411e-06, + "loss": 0.847, + "step": 7837 + }, + { + "epoch": 0.66, + "learning_rate": 5.3777463882409744e-06, + "loss": 0.8642, + "step": 7838 + }, + { + "epoch": 0.66, + "learning_rate": 5.375312445740232e-06, + "loss": 0.8885, + "step": 7839 + }, + { + "epoch": 0.66, + "learning_rate": 5.3728788516975734e-06, + "loss": 0.8945, + "step": 7840 + }, + { + "epoch": 0.66, + "learning_rate": 5.3704456062963674e-06, + "loss": 0.8936, + "step": 7841 + }, + { + "epoch": 0.66, + "learning_rate": 5.368012709719948e-06, + "loss": 0.9278, + "step": 7842 + }, + { + "epoch": 0.66, + "learning_rate": 5.3655801621516305e-06, + "loss": 0.8848, + "step": 7843 + }, + { + "epoch": 0.66, + "learning_rate": 5.3631479637747e-06, + "loss": 0.8729, + "step": 7844 + }, + { + "epoch": 0.66, + "learning_rate": 5.360716114772415e-06, + "loss": 0.9053, + "step": 7845 + }, + { + "epoch": 0.66, + "learning_rate": 5.358284615328011e-06, + "loss": 0.8326, + "step": 7846 + }, + { + "epoch": 0.67, + "learning_rate": 5.355853465624695e-06, + "loss": 0.8435, + "step": 7847 + }, + { + "epoch": 0.67, + "learning_rate": 5.353422665845647e-06, + "loss": 0.902, + "step": 7848 + }, + { + "epoch": 0.67, + "learning_rate": 5.350992216174021e-06, + "loss": 0.8804, + "step": 7849 + }, + { + "epoch": 0.67, + "learning_rate": 5.348562116792946e-06, + "loss": 0.8447, + "step": 7850 + }, + { + "epoch": 0.67, + "learning_rate": 5.3461323678855235e-06, + "loss": 0.8776, + "step": 7851 + }, + { + "epoch": 0.67, + "learning_rate": 5.343702969634828e-06, + "loss": 0.8346, + "step": 7852 + }, + { + "epoch": 0.67, + "learning_rate": 5.341273922223908e-06, + "loss": 0.9044, + "step": 7853 + }, + { + "epoch": 0.67, + "learning_rate": 5.338845225835788e-06, + "loss": 0.907, + "step": 7854 + }, + { + "epoch": 0.67, + "learning_rate": 5.336416880653461e-06, + "loss": 0.884, + "step": 7855 + }, + { + "epoch": 0.67, + "learning_rate": 5.333988886859903e-06, + "loss": 0.9047, + "step": 7856 + }, + { + "epoch": 0.67, + "learning_rate": 5.331561244638044e-06, + "loss": 0.8185, + "step": 7857 + }, + { + "epoch": 0.67, + "learning_rate": 5.329133954170816e-06, + "loss": 0.9111, + "step": 7858 + }, + { + "epoch": 0.67, + "learning_rate": 5.326707015641093e-06, + "loss": 0.8779, + "step": 7859 + }, + { + "epoch": 0.67, + "learning_rate": 5.324280429231754e-06, + "loss": 0.8913, + "step": 7860 + }, + { + "epoch": 0.67, + "learning_rate": 5.3218541951256215e-06, + "loss": 0.9165, + "step": 7861 + }, + { + "epoch": 0.67, + "learning_rate": 5.319428313505523e-06, + "loss": 0.903, + "step": 7862 + }, + { + "epoch": 0.67, + "learning_rate": 5.317002784554221e-06, + "loss": 0.9093, + "step": 7863 + }, + { + "epoch": 0.67, + "learning_rate": 5.314577608454494e-06, + "loss": 0.8835, + "step": 7864 + }, + { + "epoch": 0.67, + "learning_rate": 5.312152785389056e-06, + "loss": 0.9232, + "step": 7865 + }, + { + "epoch": 0.67, + "learning_rate": 5.30972831554062e-06, + "loss": 0.8738, + "step": 7866 + }, + { + "epoch": 0.67, + "learning_rate": 5.307304199091865e-06, + "loss": 0.8517, + "step": 7867 + }, + { + "epoch": 0.67, + "learning_rate": 5.304880436225432e-06, + "loss": 0.9307, + "step": 7868 + }, + { + "epoch": 0.67, + "learning_rate": 5.302457027123957e-06, + "loss": 0.8862, + "step": 7869 + }, + { + "epoch": 0.67, + "learning_rate": 5.300033971970027e-06, + "loss": 0.891, + "step": 7870 + }, + { + "epoch": 0.67, + "learning_rate": 5.297611270946223e-06, + "loss": 0.8952, + "step": 7871 + }, + { + "epoch": 0.67, + "learning_rate": 5.295188924235078e-06, + "loss": 0.8903, + "step": 7872 + }, + { + "epoch": 0.67, + "learning_rate": 5.292766932019121e-06, + "loss": 0.7863, + "step": 7873 + }, + { + "epoch": 0.67, + "learning_rate": 5.2903452944808294e-06, + "loss": 0.9085, + "step": 7874 + }, + { + "epoch": 0.67, + "learning_rate": 5.287924011802685e-06, + "loss": 0.8659, + "step": 7875 + }, + { + "epoch": 0.67, + "learning_rate": 5.2855030841671054e-06, + "loss": 0.8345, + "step": 7876 + }, + { + "epoch": 0.67, + "learning_rate": 5.283082511756519e-06, + "loss": 0.5233, + "step": 7877 + }, + { + "epoch": 0.67, + "learning_rate": 5.2806622947532985e-06, + "loss": 0.8732, + "step": 7878 + }, + { + "epoch": 0.67, + "learning_rate": 5.278242433339802e-06, + "loss": 0.5668, + "step": 7879 + }, + { + "epoch": 0.67, + "learning_rate": 5.275822927698362e-06, + "loss": 0.8627, + "step": 7880 + }, + { + "epoch": 0.67, + "learning_rate": 5.273403778011283e-06, + "loss": 0.8933, + "step": 7881 + }, + { + "epoch": 0.67, + "learning_rate": 5.270984984460838e-06, + "loss": 0.9038, + "step": 7882 + }, + { + "epoch": 0.67, + "learning_rate": 5.2685665472292805e-06, + "loss": 0.8471, + "step": 7883 + }, + { + "epoch": 0.67, + "learning_rate": 5.26614846649883e-06, + "loss": 0.8589, + "step": 7884 + }, + { + "epoch": 0.67, + "learning_rate": 5.263730742451685e-06, + "loss": 0.9094, + "step": 7885 + }, + { + "epoch": 0.67, + "learning_rate": 5.2613133752700145e-06, + "loss": 0.8672, + "step": 7886 + }, + { + "epoch": 0.67, + "learning_rate": 5.258896365135959e-06, + "loss": 0.901, + "step": 7887 + }, + { + "epoch": 0.67, + "learning_rate": 5.256479712231637e-06, + "loss": 0.8652, + "step": 7888 + }, + { + "epoch": 0.67, + "learning_rate": 5.2540634167391325e-06, + "loss": 0.8951, + "step": 7889 + }, + { + "epoch": 0.67, + "learning_rate": 5.251647478840511e-06, + "loss": 0.8834, + "step": 7890 + }, + { + "epoch": 0.67, + "learning_rate": 5.249231898717806e-06, + "loss": 0.8772, + "step": 7891 + }, + { + "epoch": 0.67, + "learning_rate": 5.246816676553024e-06, + "loss": 0.8457, + "step": 7892 + }, + { + "epoch": 0.67, + "learning_rate": 5.244401812528146e-06, + "loss": 0.8434, + "step": 7893 + }, + { + "epoch": 0.67, + "learning_rate": 5.241987306825127e-06, + "loss": 0.4934, + "step": 7894 + }, + { + "epoch": 0.67, + "learning_rate": 5.2395731596258925e-06, + "loss": 0.8659, + "step": 7895 + }, + { + "epoch": 0.67, + "learning_rate": 5.237159371112342e-06, + "loss": 0.8272, + "step": 7896 + }, + { + "epoch": 0.67, + "learning_rate": 5.234745941466348e-06, + "loss": 0.925, + "step": 7897 + }, + { + "epoch": 0.67, + "learning_rate": 5.232332870869763e-06, + "loss": 0.8628, + "step": 7898 + }, + { + "epoch": 0.67, + "learning_rate": 5.229920159504389e-06, + "loss": 0.8521, + "step": 7899 + }, + { + "epoch": 0.67, + "learning_rate": 5.227507807552037e-06, + "loss": 0.9214, + "step": 7900 + }, + { + "epoch": 0.67, + "learning_rate": 5.225095815194453e-06, + "loss": 0.876, + "step": 7901 + }, + { + "epoch": 0.67, + "learning_rate": 5.222684182613392e-06, + "loss": 0.8011, + "step": 7902 + }, + { + "epoch": 0.67, + "learning_rate": 5.220272909990548e-06, + "loss": 0.8654, + "step": 7903 + }, + { + "epoch": 0.67, + "learning_rate": 5.217861997507618e-06, + "loss": 0.906, + "step": 7904 + }, + { + "epoch": 0.67, + "learning_rate": 5.215451445346245e-06, + "loss": 0.8733, + "step": 7905 + }, + { + "epoch": 0.67, + "learning_rate": 5.213041253688074e-06, + "loss": 0.8551, + "step": 7906 + }, + { + "epoch": 0.67, + "learning_rate": 5.210631422714686e-06, + "loss": 0.8924, + "step": 7907 + }, + { + "epoch": 0.67, + "learning_rate": 5.2082219526076745e-06, + "loss": 0.8824, + "step": 7908 + }, + { + "epoch": 0.67, + "learning_rate": 5.205812843548577e-06, + "loss": 0.8722, + "step": 7909 + }, + { + "epoch": 0.67, + "learning_rate": 5.20340409571891e-06, + "loss": 0.8938, + "step": 7910 + }, + { + "epoch": 0.67, + "learning_rate": 5.200995709300179e-06, + "loss": 0.8652, + "step": 7911 + }, + { + "epoch": 0.67, + "learning_rate": 5.198587684473836e-06, + "loss": 0.8991, + "step": 7912 + }, + { + "epoch": 0.67, + "learning_rate": 5.196180021421332e-06, + "loss": 0.8988, + "step": 7913 + }, + { + "epoch": 0.67, + "learning_rate": 5.193772720324064e-06, + "loss": 0.8621, + "step": 7914 + }, + { + "epoch": 0.67, + "learning_rate": 5.191365781363431e-06, + "loss": 0.8384, + "step": 7915 + }, + { + "epoch": 0.67, + "learning_rate": 5.188959204720776e-06, + "loss": 0.8734, + "step": 7916 + }, + { + "epoch": 0.67, + "learning_rate": 5.1865529905774405e-06, + "loss": 0.8812, + "step": 7917 + }, + { + "epoch": 0.67, + "learning_rate": 5.184147139114713e-06, + "loss": 0.8748, + "step": 7918 + }, + { + "epoch": 0.67, + "learning_rate": 5.181741650513883e-06, + "loss": 0.8441, + "step": 7919 + }, + { + "epoch": 0.67, + "learning_rate": 5.179336524956185e-06, + "loss": 0.9264, + "step": 7920 + }, + { + "epoch": 0.67, + "learning_rate": 5.1769317626228455e-06, + "loss": 0.8631, + "step": 7921 + }, + { + "epoch": 0.67, + "learning_rate": 5.1745273636950545e-06, + "loss": 0.8746, + "step": 7922 + }, + { + "epoch": 0.67, + "learning_rate": 5.172123328353978e-06, + "loss": 0.8695, + "step": 7923 + }, + { + "epoch": 0.67, + "learning_rate": 5.169719656780754e-06, + "loss": 0.9327, + "step": 7924 + }, + { + "epoch": 0.67, + "learning_rate": 5.167316349156495e-06, + "loss": 0.8589, + "step": 7925 + }, + { + "epoch": 0.67, + "learning_rate": 5.1649134056622795e-06, + "loss": 0.863, + "step": 7926 + }, + { + "epoch": 0.67, + "learning_rate": 5.162510826479166e-06, + "loss": 0.9095, + "step": 7927 + }, + { + "epoch": 0.67, + "learning_rate": 5.16010861178818e-06, + "loss": 0.888, + "step": 7928 + }, + { + "epoch": 0.67, + "learning_rate": 5.157706761770326e-06, + "loss": 0.8346, + "step": 7929 + }, + { + "epoch": 0.67, + "learning_rate": 5.1553052766065735e-06, + "loss": 0.8636, + "step": 7930 + }, + { + "epoch": 0.67, + "learning_rate": 5.15290415647787e-06, + "loss": 0.8517, + "step": 7931 + }, + { + "epoch": 0.67, + "learning_rate": 5.1505034015651345e-06, + "loss": 0.851, + "step": 7932 + }, + { + "epoch": 0.67, + "learning_rate": 5.148103012049255e-06, + "loss": 0.4879, + "step": 7933 + }, + { + "epoch": 0.67, + "learning_rate": 5.145702988111095e-06, + "loss": 0.8794, + "step": 7934 + }, + { + "epoch": 0.67, + "learning_rate": 5.1433033299314915e-06, + "loss": 0.8999, + "step": 7935 + }, + { + "epoch": 0.67, + "learning_rate": 5.140904037691252e-06, + "loss": 0.8262, + "step": 7936 + }, + { + "epoch": 0.67, + "learning_rate": 5.138505111571157e-06, + "loss": 0.8638, + "step": 7937 + }, + { + "epoch": 0.67, + "learning_rate": 5.136106551751958e-06, + "loss": 0.8765, + "step": 7938 + }, + { + "epoch": 0.67, + "learning_rate": 5.133708358414382e-06, + "loss": 0.8673, + "step": 7939 + }, + { + "epoch": 0.67, + "learning_rate": 5.131310531739129e-06, + "loss": 0.8621, + "step": 7940 + }, + { + "epoch": 0.67, + "learning_rate": 5.128913071906858e-06, + "loss": 0.8368, + "step": 7941 + }, + { + "epoch": 0.67, + "learning_rate": 5.1265159790982275e-06, + "loss": 0.875, + "step": 7942 + }, + { + "epoch": 0.67, + "learning_rate": 5.1241192534938355e-06, + "loss": 0.8453, + "step": 7943 + }, + { + "epoch": 0.67, + "learning_rate": 5.121722895274284e-06, + "loss": 0.8863, + "step": 7944 + }, + { + "epoch": 0.67, + "learning_rate": 5.119326904620119e-06, + "loss": 0.9036, + "step": 7945 + }, + { + "epoch": 0.67, + "learning_rate": 5.116931281711886e-06, + "loss": 0.898, + "step": 7946 + }, + { + "epoch": 0.67, + "learning_rate": 5.114536026730073e-06, + "loss": 0.8445, + "step": 7947 + }, + { + "epoch": 0.67, + "learning_rate": 5.112141139855171e-06, + "loss": 0.8759, + "step": 7948 + }, + { + "epoch": 0.67, + "learning_rate": 5.1097466212676175e-06, + "loss": 0.8615, + "step": 7949 + }, + { + "epoch": 0.67, + "learning_rate": 5.107352471147844e-06, + "loss": 0.8624, + "step": 7950 + }, + { + "epoch": 0.67, + "learning_rate": 5.104958689676234e-06, + "loss": 0.8887, + "step": 7951 + }, + { + "epoch": 0.67, + "learning_rate": 5.102565277033155e-06, + "loss": 0.872, + "step": 7952 + }, + { + "epoch": 0.67, + "learning_rate": 5.100172233398946e-06, + "loss": 0.8967, + "step": 7953 + }, + { + "epoch": 0.67, + "learning_rate": 5.09777955895391e-06, + "loss": 0.8944, + "step": 7954 + }, + { + "epoch": 0.67, + "learning_rate": 5.095387253878346e-06, + "loss": 0.8602, + "step": 7955 + }, + { + "epoch": 0.67, + "learning_rate": 5.092995318352485e-06, + "loss": 0.8914, + "step": 7956 + }, + { + "epoch": 0.67, + "learning_rate": 5.090603752556575e-06, + "loss": 0.8689, + "step": 7957 + }, + { + "epoch": 0.67, + "learning_rate": 5.088212556670795e-06, + "loss": 0.881, + "step": 7958 + }, + { + "epoch": 0.67, + "learning_rate": 5.085821730875331e-06, + "loss": 0.83, + "step": 7959 + }, + { + "epoch": 0.67, + "learning_rate": 5.083431275350312e-06, + "loss": 0.8899, + "step": 7960 + }, + { + "epoch": 0.67, + "learning_rate": 5.0810411902758675e-06, + "loss": 0.8413, + "step": 7961 + }, + { + "epoch": 0.67, + "learning_rate": 5.0786514758320706e-06, + "loss": 0.9088, + "step": 7962 + }, + { + "epoch": 0.67, + "learning_rate": 5.076262132198986e-06, + "loss": 0.8421, + "step": 7963 + }, + { + "epoch": 0.67, + "learning_rate": 5.073873159556643e-06, + "loss": 0.8438, + "step": 7964 + }, + { + "epoch": 0.68, + "learning_rate": 5.071484558085044e-06, + "loss": 0.8616, + "step": 7965 + }, + { + "epoch": 0.68, + "learning_rate": 5.069096327964167e-06, + "loss": 0.4821, + "step": 7966 + }, + { + "epoch": 0.68, + "learning_rate": 5.066708469373958e-06, + "loss": 0.8807, + "step": 7967 + }, + { + "epoch": 0.68, + "learning_rate": 5.064320982494332e-06, + "loss": 0.8993, + "step": 7968 + }, + { + "epoch": 0.68, + "learning_rate": 5.061933867505185e-06, + "loss": 0.8781, + "step": 7969 + }, + { + "epoch": 0.68, + "learning_rate": 5.0595471245863745e-06, + "loss": 0.8382, + "step": 7970 + }, + { + "epoch": 0.68, + "learning_rate": 5.057160753917741e-06, + "loss": 0.8595, + "step": 7971 + }, + { + "epoch": 0.68, + "learning_rate": 5.054774755679086e-06, + "loss": 0.9037, + "step": 7972 + }, + { + "epoch": 0.68, + "learning_rate": 5.052389130050193e-06, + "loss": 0.8921, + "step": 7973 + }, + { + "epoch": 0.68, + "learning_rate": 5.05000387721081e-06, + "loss": 0.8757, + "step": 7974 + }, + { + "epoch": 0.68, + "learning_rate": 5.047618997340659e-06, + "loss": 0.906, + "step": 7975 + }, + { + "epoch": 0.68, + "learning_rate": 5.045234490619435e-06, + "loss": 0.8531, + "step": 7976 + }, + { + "epoch": 0.68, + "learning_rate": 5.042850357226807e-06, + "loss": 0.8608, + "step": 7977 + }, + { + "epoch": 0.68, + "learning_rate": 5.04046659734241e-06, + "loss": 0.866, + "step": 7978 + }, + { + "epoch": 0.68, + "learning_rate": 5.038083211145854e-06, + "loss": 0.8402, + "step": 7979 + }, + { + "epoch": 0.68, + "learning_rate": 5.035700198816722e-06, + "loss": 0.9445, + "step": 7980 + }, + { + "epoch": 0.68, + "learning_rate": 5.033317560534568e-06, + "loss": 0.918, + "step": 7981 + }, + { + "epoch": 0.68, + "learning_rate": 5.030935296478922e-06, + "loss": 0.9068, + "step": 7982 + }, + { + "epoch": 0.68, + "learning_rate": 5.028553406829268e-06, + "loss": 0.8512, + "step": 7983 + }, + { + "epoch": 0.68, + "learning_rate": 5.026171891765092e-06, + "loss": 0.8694, + "step": 7984 + }, + { + "epoch": 0.68, + "learning_rate": 5.023790751465818e-06, + "loss": 0.8894, + "step": 7985 + }, + { + "epoch": 0.68, + "learning_rate": 5.021409986110875e-06, + "loss": 0.8395, + "step": 7986 + }, + { + "epoch": 0.68, + "learning_rate": 5.019029595879633e-06, + "loss": 0.8745, + "step": 7987 + }, + { + "epoch": 0.68, + "learning_rate": 5.016649580951462e-06, + "loss": 0.8808, + "step": 7988 + }, + { + "epoch": 0.68, + "learning_rate": 5.014269941505675e-06, + "loss": 0.8455, + "step": 7989 + }, + { + "epoch": 0.68, + "learning_rate": 5.011890677721587e-06, + "loss": 0.8589, + "step": 7990 + }, + { + "epoch": 0.68, + "learning_rate": 5.009511789778454e-06, + "loss": 0.8677, + "step": 7991 + }, + { + "epoch": 0.68, + "learning_rate": 5.007133277855534e-06, + "loss": 0.7975, + "step": 7992 + }, + { + "epoch": 0.68, + "learning_rate": 5.004755142132032e-06, + "loss": 0.795, + "step": 7993 + }, + { + "epoch": 0.68, + "learning_rate": 5.002377382787135e-06, + "loss": 0.8575, + "step": 7994 + }, + { + "epoch": 0.68, + "learning_rate": 5.000000000000003e-06, + "loss": 0.8678, + "step": 7995 + }, + { + "epoch": 0.68, + "learning_rate": 4.997622993949765e-06, + "loss": 0.8665, + "step": 7996 + }, + { + "epoch": 0.68, + "learning_rate": 4.995246364815522e-06, + "loss": 0.8843, + "step": 7997 + }, + { + "epoch": 0.68, + "learning_rate": 4.992870112776342e-06, + "loss": 0.8554, + "step": 7998 + }, + { + "epoch": 0.68, + "learning_rate": 4.9904942380112846e-06, + "loss": 0.5764, + "step": 7999 + }, + { + "epoch": 0.68, + "learning_rate": 4.9881187406993455e-06, + "loss": 0.8636, + "step": 8000 + }, + { + "epoch": 0.68, + "learning_rate": 4.985743621019531e-06, + "loss": 0.8595, + "step": 8001 + }, + { + "epoch": 0.68, + "learning_rate": 4.983368879150787e-06, + "loss": 0.8402, + "step": 8002 + }, + { + "epoch": 0.68, + "learning_rate": 4.98099451527205e-06, + "loss": 0.8755, + "step": 8003 + }, + { + "epoch": 0.68, + "learning_rate": 4.9786205295622184e-06, + "loss": 0.8279, + "step": 8004 + }, + { + "epoch": 0.68, + "learning_rate": 4.976246922200169e-06, + "loss": 0.8787, + "step": 8005 + }, + { + "epoch": 0.68, + "learning_rate": 4.973873693364746e-06, + "loss": 0.851, + "step": 8006 + }, + { + "epoch": 0.68, + "learning_rate": 4.971500843234765e-06, + "loss": 0.8853, + "step": 8007 + }, + { + "epoch": 0.68, + "learning_rate": 4.969128371989015e-06, + "loss": 0.8651, + "step": 8008 + }, + { + "epoch": 0.68, + "learning_rate": 4.966756279806255e-06, + "loss": 0.8712, + "step": 8009 + }, + { + "epoch": 0.68, + "learning_rate": 4.964384566865217e-06, + "loss": 0.8532, + "step": 8010 + }, + { + "epoch": 0.68, + "learning_rate": 4.962013233344603e-06, + "loss": 0.8806, + "step": 8011 + }, + { + "epoch": 0.68, + "learning_rate": 4.959642279423085e-06, + "loss": 0.8431, + "step": 8012 + }, + { + "epoch": 0.68, + "learning_rate": 4.957271705279309e-06, + "loss": 0.9089, + "step": 8013 + }, + { + "epoch": 0.68, + "learning_rate": 4.9549015110918945e-06, + "loss": 0.876, + "step": 8014 + }, + { + "epoch": 0.68, + "learning_rate": 4.952531697039424e-06, + "loss": 0.8416, + "step": 8015 + }, + { + "epoch": 0.68, + "learning_rate": 4.950162263300462e-06, + "loss": 0.9239, + "step": 8016 + }, + { + "epoch": 0.68, + "learning_rate": 4.947793210053537e-06, + "loss": 0.8657, + "step": 8017 + }, + { + "epoch": 0.68, + "learning_rate": 4.945424537477149e-06, + "loss": 0.8829, + "step": 8018 + }, + { + "epoch": 0.68, + "learning_rate": 4.943056245749775e-06, + "loss": 0.8599, + "step": 8019 + }, + { + "epoch": 0.68, + "learning_rate": 4.940688335049857e-06, + "loss": 0.8758, + "step": 8020 + }, + { + "epoch": 0.68, + "learning_rate": 4.938320805555811e-06, + "loss": 0.8437, + "step": 8021 + }, + { + "epoch": 0.68, + "learning_rate": 4.9359536574460244e-06, + "loss": 0.8334, + "step": 8022 + }, + { + "epoch": 0.68, + "learning_rate": 4.933586890898857e-06, + "loss": 0.9043, + "step": 8023 + }, + { + "epoch": 0.68, + "learning_rate": 4.931220506092641e-06, + "loss": 0.8474, + "step": 8024 + }, + { + "epoch": 0.68, + "learning_rate": 4.928854503205666e-06, + "loss": 0.8677, + "step": 8025 + }, + { + "epoch": 0.68, + "learning_rate": 4.926488882416218e-06, + "loss": 0.8954, + "step": 8026 + }, + { + "epoch": 0.68, + "learning_rate": 4.9241236439025275e-06, + "loss": 0.8981, + "step": 8027 + }, + { + "epoch": 0.68, + "learning_rate": 4.921758787842823e-06, + "loss": 0.8835, + "step": 8028 + }, + { + "epoch": 0.68, + "learning_rate": 4.919394314415276e-06, + "loss": 0.8916, + "step": 8029 + }, + { + "epoch": 0.68, + "learning_rate": 4.917030223798057e-06, + "loss": 0.9052, + "step": 8030 + }, + { + "epoch": 0.68, + "learning_rate": 4.914666516169279e-06, + "loss": 0.8431, + "step": 8031 + }, + { + "epoch": 0.68, + "learning_rate": 4.912303191707059e-06, + "loss": 0.8559, + "step": 8032 + }, + { + "epoch": 0.68, + "learning_rate": 4.909940250589448e-06, + "loss": 0.8516, + "step": 8033 + }, + { + "epoch": 0.68, + "learning_rate": 4.907577692994505e-06, + "loss": 0.8874, + "step": 8034 + }, + { + "epoch": 0.68, + "learning_rate": 4.905215519100231e-06, + "loss": 0.8681, + "step": 8035 + }, + { + "epoch": 0.68, + "learning_rate": 4.902853729084615e-06, + "loss": 0.8486, + "step": 8036 + }, + { + "epoch": 0.68, + "learning_rate": 4.9004923231256075e-06, + "loss": 0.8499, + "step": 8037 + }, + { + "epoch": 0.68, + "learning_rate": 4.8981313014011375e-06, + "loss": 0.8452, + "step": 8038 + }, + { + "epoch": 0.68, + "learning_rate": 4.895770664089101e-06, + "loss": 0.8721, + "step": 8039 + }, + { + "epoch": 0.68, + "learning_rate": 4.893410411367366e-06, + "loss": 0.8785, + "step": 8040 + }, + { + "epoch": 0.68, + "learning_rate": 4.891050543413771e-06, + "loss": 0.8557, + "step": 8041 + }, + { + "epoch": 0.68, + "learning_rate": 4.888691060406122e-06, + "loss": 0.8838, + "step": 8042 + }, + { + "epoch": 0.68, + "learning_rate": 4.8863319625222126e-06, + "loss": 0.8447, + "step": 8043 + }, + { + "epoch": 0.68, + "learning_rate": 4.8839732499397805e-06, + "loss": 0.877, + "step": 8044 + }, + { + "epoch": 0.68, + "learning_rate": 4.881614922836555e-06, + "loss": 0.8433, + "step": 8045 + }, + { + "epoch": 0.68, + "learning_rate": 4.8792569813902295e-06, + "loss": 0.8794, + "step": 8046 + }, + { + "epoch": 0.68, + "learning_rate": 4.876899425778466e-06, + "loss": 0.8757, + "step": 8047 + }, + { + "epoch": 0.68, + "learning_rate": 4.874542256178903e-06, + "loss": 0.8783, + "step": 8048 + }, + { + "epoch": 0.68, + "learning_rate": 4.872185472769146e-06, + "loss": 0.8296, + "step": 8049 + }, + { + "epoch": 0.68, + "learning_rate": 4.869829075726774e-06, + "loss": 0.8975, + "step": 8050 + }, + { + "epoch": 0.68, + "learning_rate": 4.867473065229332e-06, + "loss": 0.8893, + "step": 8051 + }, + { + "epoch": 0.68, + "learning_rate": 4.865117441454342e-06, + "loss": 0.5837, + "step": 8052 + }, + { + "epoch": 0.68, + "learning_rate": 4.862762204579294e-06, + "loss": 0.9059, + "step": 8053 + }, + { + "epoch": 0.68, + "learning_rate": 4.860407354781647e-06, + "loss": 0.8154, + "step": 8054 + }, + { + "epoch": 0.68, + "learning_rate": 4.8580528922388395e-06, + "loss": 0.8826, + "step": 8055 + }, + { + "epoch": 0.68, + "learning_rate": 4.85569881712826e-06, + "loss": 0.873, + "step": 8056 + }, + { + "epoch": 0.68, + "learning_rate": 4.8533451296272934e-06, + "loss": 0.8711, + "step": 8057 + }, + { + "epoch": 0.68, + "learning_rate": 4.850991829913282e-06, + "loss": 0.874, + "step": 8058 + }, + { + "epoch": 0.68, + "learning_rate": 4.84863891816354e-06, + "loss": 0.8519, + "step": 8059 + }, + { + "epoch": 0.68, + "learning_rate": 4.846286394555352e-06, + "loss": 0.8342, + "step": 8060 + }, + { + "epoch": 0.68, + "learning_rate": 4.8439342592659745e-06, + "loss": 0.8865, + "step": 8061 + }, + { + "epoch": 0.68, + "learning_rate": 4.841582512472636e-06, + "loss": 0.8508, + "step": 8062 + }, + { + "epoch": 0.68, + "learning_rate": 4.839231154352535e-06, + "loss": 0.8679, + "step": 8063 + }, + { + "epoch": 0.68, + "learning_rate": 4.836880185082839e-06, + "loss": 0.842, + "step": 8064 + }, + { + "epoch": 0.68, + "learning_rate": 4.834529604840686e-06, + "loss": 0.9225, + "step": 8065 + }, + { + "epoch": 0.68, + "learning_rate": 4.832179413803193e-06, + "loss": 0.5141, + "step": 8066 + }, + { + "epoch": 0.68, + "learning_rate": 4.829829612147427e-06, + "loss": 0.9166, + "step": 8067 + }, + { + "epoch": 0.68, + "learning_rate": 4.827480200050456e-06, + "loss": 0.8519, + "step": 8068 + }, + { + "epoch": 0.68, + "learning_rate": 4.825131177689286e-06, + "loss": 0.9056, + "step": 8069 + }, + { + "epoch": 0.68, + "learning_rate": 4.822782545240925e-06, + "loss": 0.8628, + "step": 8070 + }, + { + "epoch": 0.68, + "learning_rate": 4.820434302882321e-06, + "loss": 0.9127, + "step": 8071 + }, + { + "epoch": 0.68, + "learning_rate": 4.818086450790423e-06, + "loss": 0.8519, + "step": 8072 + }, + { + "epoch": 0.68, + "learning_rate": 4.8157389891421205e-06, + "loss": 0.8237, + "step": 8073 + }, + { + "epoch": 0.68, + "learning_rate": 4.813391918114304e-06, + "loss": 0.886, + "step": 8074 + }, + { + "epoch": 0.68, + "learning_rate": 4.811045237883803e-06, + "loss": 0.803, + "step": 8075 + }, + { + "epoch": 0.68, + "learning_rate": 4.808698948627452e-06, + "loss": 0.8448, + "step": 8076 + }, + { + "epoch": 0.68, + "learning_rate": 4.806353050522021e-06, + "loss": 0.8705, + "step": 8077 + }, + { + "epoch": 0.68, + "learning_rate": 4.804007543744277e-06, + "loss": 0.8669, + "step": 8078 + }, + { + "epoch": 0.68, + "learning_rate": 4.801662428470943e-06, + "loss": 0.8636, + "step": 8079 + }, + { + "epoch": 0.68, + "learning_rate": 4.79931770487872e-06, + "loss": 0.8497, + "step": 8080 + }, + { + "epoch": 0.68, + "learning_rate": 4.796973373144276e-06, + "loss": 0.8662, + "step": 8081 + }, + { + "epoch": 0.68, + "learning_rate": 4.794629433444249e-06, + "loss": 0.9048, + "step": 8082 + }, + { + "epoch": 0.69, + "learning_rate": 4.792285885955251e-06, + "loss": 0.8108, + "step": 8083 + }, + { + "epoch": 0.69, + "learning_rate": 4.78994273085386e-06, + "loss": 0.8611, + "step": 8084 + }, + { + "epoch": 0.69, + "learning_rate": 4.78759996831663e-06, + "loss": 0.8902, + "step": 8085 + }, + { + "epoch": 0.69, + "learning_rate": 4.785257598520078e-06, + "loss": 0.5275, + "step": 8086 + }, + { + "epoch": 0.69, + "learning_rate": 4.782915621640697e-06, + "loss": 0.898, + "step": 8087 + }, + { + "epoch": 0.69, + "learning_rate": 4.7805740378549495e-06, + "loss": 0.8673, + "step": 8088 + }, + { + "epoch": 0.69, + "learning_rate": 4.778232847339267e-06, + "loss": 0.8609, + "step": 8089 + }, + { + "epoch": 0.69, + "learning_rate": 4.775892050270051e-06, + "loss": 0.9398, + "step": 8090 + }, + { + "epoch": 0.69, + "learning_rate": 4.773551646823677e-06, + "loss": 0.9116, + "step": 8091 + }, + { + "epoch": 0.69, + "learning_rate": 4.771211637176487e-06, + "loss": 0.8228, + "step": 8092 + }, + { + "epoch": 0.69, + "learning_rate": 4.768872021504795e-06, + "loss": 0.8829, + "step": 8093 + }, + { + "epoch": 0.69, + "learning_rate": 4.766532799984883e-06, + "loss": 0.9041, + "step": 8094 + }, + { + "epoch": 0.69, + "learning_rate": 4.7641939727930064e-06, + "loss": 0.8907, + "step": 8095 + }, + { + "epoch": 0.69, + "learning_rate": 4.761855540105391e-06, + "loss": 0.8472, + "step": 8096 + }, + { + "epoch": 0.69, + "learning_rate": 4.759517502098234e-06, + "loss": 0.934, + "step": 8097 + }, + { + "epoch": 0.69, + "learning_rate": 4.757179858947689e-06, + "loss": 0.5297, + "step": 8098 + }, + { + "epoch": 0.69, + "learning_rate": 4.754842610829908e-06, + "loss": 0.8948, + "step": 8099 + }, + { + "epoch": 0.69, + "learning_rate": 4.7525057579209775e-06, + "loss": 0.8642, + "step": 8100 + }, + { + "epoch": 0.69, + "learning_rate": 4.75016930039699e-06, + "loss": 0.8958, + "step": 8101 + }, + { + "epoch": 0.69, + "learning_rate": 4.7478332384339834e-06, + "loss": 0.843, + "step": 8102 + }, + { + "epoch": 0.69, + "learning_rate": 4.745497572207975e-06, + "loss": 0.8397, + "step": 8103 + }, + { + "epoch": 0.69, + "learning_rate": 4.743162301894952e-06, + "loss": 0.8937, + "step": 8104 + }, + { + "epoch": 0.69, + "learning_rate": 4.740827427670871e-06, + "loss": 0.8373, + "step": 8105 + }, + { + "epoch": 0.69, + "learning_rate": 4.738492949711659e-06, + "loss": 0.8792, + "step": 8106 + }, + { + "epoch": 0.69, + "learning_rate": 4.736158868193209e-06, + "loss": 0.8488, + "step": 8107 + }, + { + "epoch": 0.69, + "learning_rate": 4.733825183291396e-06, + "loss": 0.9054, + "step": 8108 + }, + { + "epoch": 0.69, + "learning_rate": 4.731491895182045e-06, + "loss": 0.4708, + "step": 8109 + }, + { + "epoch": 0.69, + "learning_rate": 4.729159004040976e-06, + "loss": 0.894, + "step": 8110 + }, + { + "epoch": 0.69, + "learning_rate": 4.726826510043953e-06, + "loss": 0.8721, + "step": 8111 + }, + { + "epoch": 0.69, + "learning_rate": 4.724494413366739e-06, + "loss": 0.8503, + "step": 8112 + }, + { + "epoch": 0.69, + "learning_rate": 4.722162714185035e-06, + "loss": 0.8482, + "step": 8113 + }, + { + "epoch": 0.69, + "learning_rate": 4.7198314126745424e-06, + "loss": 0.8864, + "step": 8114 + }, + { + "epoch": 0.69, + "learning_rate": 4.7175005090109074e-06, + "loss": 0.8715, + "step": 8115 + }, + { + "epoch": 0.69, + "learning_rate": 4.715170003369768e-06, + "loss": 0.8735, + "step": 8116 + }, + { + "epoch": 0.69, + "learning_rate": 4.7128398959267095e-06, + "loss": 0.8607, + "step": 8117 + }, + { + "epoch": 0.69, + "learning_rate": 4.710510186857313e-06, + "loss": 0.8453, + "step": 8118 + }, + { + "epoch": 0.69, + "learning_rate": 4.708180876337107e-06, + "loss": 0.8862, + "step": 8119 + }, + { + "epoch": 0.69, + "learning_rate": 4.7058519645416004e-06, + "loss": 0.8872, + "step": 8120 + }, + { + "epoch": 0.69, + "learning_rate": 4.703523451646271e-06, + "loss": 0.8727, + "step": 8121 + }, + { + "epoch": 0.69, + "learning_rate": 4.701195337826566e-06, + "loss": 0.8903, + "step": 8122 + }, + { + "epoch": 0.69, + "learning_rate": 4.698867623257905e-06, + "loss": 0.4842, + "step": 8123 + }, + { + "epoch": 0.69, + "learning_rate": 4.696540308115672e-06, + "loss": 0.8589, + "step": 8124 + }, + { + "epoch": 0.69, + "learning_rate": 4.696540308115672e-06, + "loss": 0.9058, + "step": 8125 + }, + { + "epoch": 0.69, + "learning_rate": 4.6942133925752245e-06, + "loss": 0.849, + "step": 8126 + }, + { + "epoch": 0.69, + "learning_rate": 4.6918868768118906e-06, + "loss": 0.8786, + "step": 8127 + }, + { + "epoch": 0.69, + "learning_rate": 4.689560761000968e-06, + "loss": 0.8498, + "step": 8128 + }, + { + "epoch": 0.69, + "learning_rate": 4.687235045317723e-06, + "loss": 0.8328, + "step": 8129 + }, + { + "epoch": 0.69, + "learning_rate": 4.68490972993739e-06, + "loss": 0.9043, + "step": 8130 + }, + { + "epoch": 0.69, + "learning_rate": 4.682584815035177e-06, + "loss": 0.8394, + "step": 8131 + }, + { + "epoch": 0.69, + "learning_rate": 4.680260300786261e-06, + "loss": 0.5151, + "step": 8132 + }, + { + "epoch": 0.69, + "learning_rate": 4.677936187365787e-06, + "loss": 0.864, + "step": 8133 + }, + { + "epoch": 0.69, + "learning_rate": 4.675612474948872e-06, + "loss": 0.8866, + "step": 8134 + }, + { + "epoch": 0.69, + "learning_rate": 4.673289163710599e-06, + "loss": 0.8867, + "step": 8135 + }, + { + "epoch": 0.69, + "learning_rate": 4.670966253826027e-06, + "loss": 0.8147, + "step": 8136 + }, + { + "epoch": 0.69, + "learning_rate": 4.668643745470178e-06, + "loss": 0.8863, + "step": 8137 + }, + { + "epoch": 0.69, + "learning_rate": 4.666321638818049e-06, + "loss": 0.9045, + "step": 8138 + }, + { + "epoch": 0.69, + "learning_rate": 4.6639999340446045e-06, + "loss": 0.8521, + "step": 8139 + }, + { + "epoch": 0.69, + "learning_rate": 4.661678631324781e-06, + "loss": 0.8821, + "step": 8140 + }, + { + "epoch": 0.69, + "learning_rate": 4.659357730833472e-06, + "loss": 0.9035, + "step": 8141 + }, + { + "epoch": 0.69, + "learning_rate": 4.6570372327455686e-06, + "loss": 0.8943, + "step": 8142 + }, + { + "epoch": 0.69, + "learning_rate": 4.654717137235895e-06, + "loss": 0.8937, + "step": 8143 + }, + { + "epoch": 0.69, + "learning_rate": 4.652397444479283e-06, + "loss": 0.8752, + "step": 8144 + }, + { + "epoch": 0.69, + "learning_rate": 4.650078154650498e-06, + "loss": 0.8632, + "step": 8145 + }, + { + "epoch": 0.69, + "learning_rate": 4.647759267924306e-06, + "loss": 0.8626, + "step": 8146 + }, + { + "epoch": 0.69, + "learning_rate": 4.645440784475422e-06, + "loss": 0.8761, + "step": 8147 + }, + { + "epoch": 0.69, + "learning_rate": 4.643122704478541e-06, + "loss": 0.8174, + "step": 8148 + }, + { + "epoch": 0.69, + "learning_rate": 4.6408050281083225e-06, + "loss": 0.8344, + "step": 8149 + }, + { + "epoch": 0.69, + "learning_rate": 4.6384877555393985e-06, + "loss": 0.8098, + "step": 8150 + }, + { + "epoch": 0.69, + "learning_rate": 4.636170886946371e-06, + "loss": 0.8514, + "step": 8151 + }, + { + "epoch": 0.69, + "learning_rate": 4.633854422503801e-06, + "loss": 0.8814, + "step": 8152 + }, + { + "epoch": 0.69, + "learning_rate": 4.631538362386241e-06, + "loss": 0.8945, + "step": 8153 + }, + { + "epoch": 0.69, + "learning_rate": 4.629222706768186e-06, + "loss": 0.8493, + "step": 8154 + }, + { + "epoch": 0.69, + "learning_rate": 4.626907455824131e-06, + "loss": 0.8817, + "step": 8155 + }, + { + "epoch": 0.69, + "learning_rate": 4.624592609728508e-06, + "loss": 0.8969, + "step": 8156 + }, + { + "epoch": 0.69, + "learning_rate": 4.6222781686557485e-06, + "loss": 0.89, + "step": 8157 + }, + { + "epoch": 0.69, + "learning_rate": 4.619964132780225e-06, + "loss": 0.8689, + "step": 8158 + }, + { + "epoch": 0.69, + "learning_rate": 4.61765050227631e-06, + "loss": 0.8593, + "step": 8159 + }, + { + "epoch": 0.69, + "learning_rate": 4.615337277318313e-06, + "loss": 0.8638, + "step": 8160 + }, + { + "epoch": 0.69, + "learning_rate": 4.613024458080547e-06, + "loss": 0.8151, + "step": 8161 + }, + { + "epoch": 0.69, + "learning_rate": 4.610712044737264e-06, + "loss": 0.9349, + "step": 8162 + }, + { + "epoch": 0.69, + "learning_rate": 4.608400037462702e-06, + "loss": 0.8292, + "step": 8163 + }, + { + "epoch": 0.69, + "learning_rate": 4.606088436431064e-06, + "loss": 0.8628, + "step": 8164 + }, + { + "epoch": 0.69, + "learning_rate": 4.6037772418165235e-06, + "loss": 0.9165, + "step": 8165 + }, + { + "epoch": 0.69, + "learning_rate": 4.601466453793224e-06, + "loss": 0.89, + "step": 8166 + }, + { + "epoch": 0.69, + "learning_rate": 4.599156072535277e-06, + "loss": 0.8853, + "step": 8167 + }, + { + "epoch": 0.69, + "learning_rate": 4.596846098216763e-06, + "loss": 0.8611, + "step": 8168 + }, + { + "epoch": 0.69, + "learning_rate": 4.5945365310117325e-06, + "loss": 0.872, + "step": 8169 + }, + { + "epoch": 0.69, + "learning_rate": 4.592227371094206e-06, + "loss": 0.8486, + "step": 8170 + }, + { + "epoch": 0.69, + "learning_rate": 4.589918618638173e-06, + "loss": 0.8571, + "step": 8171 + }, + { + "epoch": 0.69, + "learning_rate": 4.5876102738175895e-06, + "loss": 0.9153, + "step": 8172 + }, + { + "epoch": 0.69, + "learning_rate": 4.585302336806386e-06, + "loss": 0.8351, + "step": 8173 + }, + { + "epoch": 0.69, + "learning_rate": 4.582994807778458e-06, + "loss": 0.9068, + "step": 8174 + }, + { + "epoch": 0.69, + "learning_rate": 4.580687686907673e-06, + "loss": 0.8944, + "step": 8175 + }, + { + "epoch": 0.69, + "learning_rate": 4.5783809743678654e-06, + "loss": 0.472, + "step": 8176 + }, + { + "epoch": 0.69, + "learning_rate": 4.57607467033284e-06, + "loss": 0.5334, + "step": 8177 + }, + { + "epoch": 0.69, + "learning_rate": 4.573768774976371e-06, + "loss": 0.8414, + "step": 8178 + }, + { + "epoch": 0.69, + "learning_rate": 4.571463288472202e-06, + "loss": 0.857, + "step": 8179 + }, + { + "epoch": 0.69, + "learning_rate": 4.569158210994045e-06, + "loss": 0.8373, + "step": 8180 + }, + { + "epoch": 0.69, + "learning_rate": 4.5668535427155816e-06, + "loss": 0.8742, + "step": 8181 + }, + { + "epoch": 0.69, + "learning_rate": 4.564549283810465e-06, + "loss": 0.8638, + "step": 8182 + }, + { + "epoch": 0.69, + "learning_rate": 4.562245434452306e-06, + "loss": 0.8695, + "step": 8183 + }, + { + "epoch": 0.69, + "learning_rate": 4.5599419948147075e-06, + "loss": 0.8999, + "step": 8184 + }, + { + "epoch": 0.69, + "learning_rate": 4.557638965071213e-06, + "loss": 0.8304, + "step": 8185 + }, + { + "epoch": 0.69, + "learning_rate": 4.555336345395365e-06, + "loss": 0.8645, + "step": 8186 + }, + { + "epoch": 0.69, + "learning_rate": 4.553034135960643e-06, + "loss": 0.8408, + "step": 8187 + }, + { + "epoch": 0.69, + "learning_rate": 4.55073233694053e-06, + "loss": 0.9066, + "step": 8188 + }, + { + "epoch": 0.69, + "learning_rate": 4.548430948508443e-06, + "loss": 0.8327, + "step": 8189 + }, + { + "epoch": 0.69, + "learning_rate": 4.546129970837799e-06, + "loss": 0.836, + "step": 8190 + }, + { + "epoch": 0.69, + "learning_rate": 4.543829404101966e-06, + "loss": 0.8996, + "step": 8191 + }, + { + "epoch": 0.69, + "learning_rate": 4.541529248474286e-06, + "loss": 0.8771, + "step": 8192 + }, + { + "epoch": 0.69, + "learning_rate": 4.539229504128073e-06, + "loss": 0.8889, + "step": 8193 + }, + { + "epoch": 0.69, + "learning_rate": 4.536930171236596e-06, + "loss": 0.8731, + "step": 8194 + }, + { + "epoch": 0.69, + "learning_rate": 4.534631249973118e-06, + "loss": 0.872, + "step": 8195 + }, + { + "epoch": 0.69, + "learning_rate": 4.532332740510842e-06, + "loss": 0.8364, + "step": 8196 + }, + { + "epoch": 0.69, + "learning_rate": 4.530034643022969e-06, + "loss": 0.8804, + "step": 8197 + }, + { + "epoch": 0.69, + "learning_rate": 4.527736957682642e-06, + "loss": 0.8412, + "step": 8198 + }, + { + "epoch": 0.69, + "learning_rate": 4.5254396846629975e-06, + "loss": 0.8457, + "step": 8199 + }, + { + "epoch": 0.69, + "learning_rate": 4.5231428241371154e-06, + "loss": 0.914, + "step": 8200 + }, + { + "epoch": 0.7, + "learning_rate": 4.520846376278074e-06, + "loss": 0.8662, + "step": 8201 + }, + { + "epoch": 0.7, + "learning_rate": 4.518550341258888e-06, + "loss": 0.8203, + "step": 8202 + }, + { + "epoch": 0.7, + "learning_rate": 4.516254719252574e-06, + "loss": 0.9268, + "step": 8203 + }, + { + "epoch": 0.7, + "learning_rate": 4.513959510432089e-06, + "loss": 0.8408, + "step": 8204 + }, + { + "epoch": 0.7, + "learning_rate": 4.511664714970374e-06, + "loss": 0.8559, + "step": 8205 + }, + { + "epoch": 0.7, + "learning_rate": 4.5093703330403385e-06, + "loss": 0.845, + "step": 8206 + }, + { + "epoch": 0.7, + "learning_rate": 4.507076364814855e-06, + "loss": 0.889, + "step": 8207 + }, + { + "epoch": 0.7, + "learning_rate": 4.50478281046677e-06, + "loss": 0.8993, + "step": 8208 + }, + { + "epoch": 0.7, + "learning_rate": 4.5024896701688955e-06, + "loss": 0.8708, + "step": 8209 + }, + { + "epoch": 0.7, + "learning_rate": 4.500196944094015e-06, + "loss": 0.8709, + "step": 8210 + }, + { + "epoch": 0.7, + "learning_rate": 4.497904632414879e-06, + "loss": 0.8731, + "step": 8211 + }, + { + "epoch": 0.7, + "learning_rate": 4.495612735304207e-06, + "loss": 0.8715, + "step": 8212 + }, + { + "epoch": 0.7, + "learning_rate": 4.493321252934686e-06, + "loss": 0.8423, + "step": 8213 + }, + { + "epoch": 0.7, + "learning_rate": 4.491030185478976e-06, + "loss": 0.8706, + "step": 8214 + }, + { + "epoch": 0.7, + "learning_rate": 4.488739533109701e-06, + "loss": 0.8395, + "step": 8215 + }, + { + "epoch": 0.7, + "learning_rate": 4.486449295999455e-06, + "loss": 0.8837, + "step": 8216 + }, + { + "epoch": 0.7, + "learning_rate": 4.484159474320804e-06, + "loss": 0.8863, + "step": 8217 + }, + { + "epoch": 0.7, + "learning_rate": 4.481870068246278e-06, + "loss": 0.8982, + "step": 8218 + }, + { + "epoch": 0.7, + "learning_rate": 4.479581077948378e-06, + "loss": 0.9559, + "step": 8219 + }, + { + "epoch": 0.7, + "learning_rate": 4.477292503599574e-06, + "loss": 0.8856, + "step": 8220 + }, + { + "epoch": 0.7, + "learning_rate": 4.475004345372304e-06, + "loss": 0.8659, + "step": 8221 + }, + { + "epoch": 0.7, + "learning_rate": 4.4727166034389746e-06, + "loss": 0.8931, + "step": 8222 + }, + { + "epoch": 0.7, + "learning_rate": 4.470429277971961e-06, + "loss": 0.8303, + "step": 8223 + }, + { + "epoch": 0.7, + "learning_rate": 4.46814236914361e-06, + "loss": 0.8623, + "step": 8224 + }, + { + "epoch": 0.7, + "learning_rate": 4.465855877126225e-06, + "loss": 0.534, + "step": 8225 + }, + { + "epoch": 0.7, + "learning_rate": 4.4635698020921016e-06, + "loss": 0.9011, + "step": 8226 + }, + { + "epoch": 0.7, + "learning_rate": 4.461284144213473e-06, + "loss": 0.8695, + "step": 8227 + }, + { + "epoch": 0.7, + "learning_rate": 4.458998903662574e-06, + "loss": 0.8578, + "step": 8228 + }, + { + "epoch": 0.7, + "learning_rate": 4.456714080611575e-06, + "loss": 0.8747, + "step": 8229 + }, + { + "epoch": 0.7, + "learning_rate": 4.454429675232649e-06, + "loss": 0.8782, + "step": 8230 + }, + { + "epoch": 0.7, + "learning_rate": 4.452145687697903e-06, + "loss": 0.8532, + "step": 8231 + }, + { + "epoch": 0.7, + "learning_rate": 4.449862118179444e-06, + "loss": 0.8963, + "step": 8232 + }, + { + "epoch": 0.7, + "learning_rate": 4.449862118179444e-06, + "loss": 0.9382, + "step": 8233 + }, + { + "epoch": 0.7, + "learning_rate": 4.4475789668493205e-06, + "loss": 0.8804, + "step": 8234 + }, + { + "epoch": 0.7, + "learning_rate": 4.4452962338795715e-06, + "loss": 0.8267, + "step": 8235 + }, + { + "epoch": 0.7, + "learning_rate": 4.443013919442194e-06, + "loss": 0.8439, + "step": 8236 + }, + { + "epoch": 0.7, + "learning_rate": 4.440732023709145e-06, + "loss": 0.8858, + "step": 8237 + }, + { + "epoch": 0.7, + "learning_rate": 4.438450546852373e-06, + "loss": 0.8768, + "step": 8238 + }, + { + "epoch": 0.7, + "learning_rate": 4.436169489043768e-06, + "loss": 0.5029, + "step": 8239 + }, + { + "epoch": 0.7, + "learning_rate": 4.433888850455215e-06, + "loss": 0.8877, + "step": 8240 + }, + { + "epoch": 0.7, + "learning_rate": 4.4316086312585396e-06, + "loss": 0.8734, + "step": 8241 + }, + { + "epoch": 0.7, + "learning_rate": 4.429328831625565e-06, + "loss": 0.8446, + "step": 8242 + }, + { + "epoch": 0.7, + "learning_rate": 4.4270494517280545e-06, + "loss": 0.829, + "step": 8243 + }, + { + "epoch": 0.7, + "learning_rate": 4.4247704917377676e-06, + "loss": 0.8773, + "step": 8244 + }, + { + "epoch": 0.7, + "learning_rate": 4.422491951826402e-06, + "loss": 0.8938, + "step": 8245 + }, + { + "epoch": 0.7, + "learning_rate": 4.420213832165657e-06, + "loss": 0.8771, + "step": 8246 + }, + { + "epoch": 0.7, + "learning_rate": 4.417936132927169e-06, + "loss": 0.8819, + "step": 8247 + }, + { + "epoch": 0.7, + "learning_rate": 4.4156588542825625e-06, + "loss": 0.8716, + "step": 8248 + }, + { + "epoch": 0.7, + "learning_rate": 4.413381996403423e-06, + "loss": 0.8932, + "step": 8249 + }, + { + "epoch": 0.7, + "learning_rate": 4.411105559461307e-06, + "loss": 0.8685, + "step": 8250 + }, + { + "epoch": 0.7, + "learning_rate": 4.408829543627737e-06, + "loss": 0.5033, + "step": 8251 + }, + { + "epoch": 0.7, + "learning_rate": 4.406553949074207e-06, + "loss": 0.8632, + "step": 8252 + }, + { + "epoch": 0.7, + "learning_rate": 4.404278775972174e-06, + "loss": 0.8182, + "step": 8253 + }, + { + "epoch": 0.7, + "learning_rate": 4.402004024493069e-06, + "loss": 0.8799, + "step": 8254 + }, + { + "epoch": 0.7, + "learning_rate": 4.399729694808285e-06, + "loss": 0.8611, + "step": 8255 + }, + { + "epoch": 0.7, + "learning_rate": 4.397455787089191e-06, + "loss": 0.8928, + "step": 8256 + }, + { + "epoch": 0.7, + "learning_rate": 4.3951823015071186e-06, + "loss": 0.8797, + "step": 8257 + }, + { + "epoch": 0.7, + "learning_rate": 4.3929092382333675e-06, + "loss": 0.918, + "step": 8258 + }, + { + "epoch": 0.7, + "learning_rate": 4.390636597439207e-06, + "loss": 0.9025, + "step": 8259 + }, + { + "epoch": 0.7, + "learning_rate": 4.388364379295878e-06, + "loss": 0.848, + "step": 8260 + }, + { + "epoch": 0.7, + "learning_rate": 4.386092583974582e-06, + "loss": 0.8226, + "step": 8261 + }, + { + "epoch": 0.7, + "learning_rate": 4.383821211646495e-06, + "loss": 0.8499, + "step": 8262 + }, + { + "epoch": 0.7, + "learning_rate": 4.381550262482759e-06, + "loss": 0.8911, + "step": 8263 + }, + { + "epoch": 0.7, + "learning_rate": 4.379279736654484e-06, + "loss": 0.8713, + "step": 8264 + }, + { + "epoch": 0.7, + "learning_rate": 4.377009634332747e-06, + "loss": 0.85, + "step": 8265 + }, + { + "epoch": 0.7, + "learning_rate": 4.374739955688595e-06, + "loss": 0.8909, + "step": 8266 + }, + { + "epoch": 0.7, + "learning_rate": 4.372470700893046e-06, + "loss": 0.8941, + "step": 8267 + }, + { + "epoch": 0.7, + "learning_rate": 4.370201870117074e-06, + "loss": 0.5685, + "step": 8268 + }, + { + "epoch": 0.7, + "learning_rate": 4.3679334635316395e-06, + "loss": 0.8488, + "step": 8269 + }, + { + "epoch": 0.7, + "learning_rate": 4.365665481307648e-06, + "loss": 0.8854, + "step": 8270 + }, + { + "epoch": 0.7, + "learning_rate": 4.363397923616003e-06, + "loss": 0.8341, + "step": 8271 + }, + { + "epoch": 0.7, + "learning_rate": 4.361130790627541e-06, + "loss": 0.8439, + "step": 8272 + }, + { + "epoch": 0.7, + "learning_rate": 4.358864082513101e-06, + "loss": 0.8731, + "step": 8273 + }, + { + "epoch": 0.7, + "learning_rate": 4.356597799443459e-06, + "loss": 0.8462, + "step": 8274 + }, + { + "epoch": 0.7, + "learning_rate": 4.354331941589387e-06, + "loss": 0.8415, + "step": 8275 + }, + { + "epoch": 0.7, + "learning_rate": 4.352066509121599e-06, + "loss": 0.8561, + "step": 8276 + }, + { + "epoch": 0.7, + "learning_rate": 4.349801502210801e-06, + "loss": 0.8687, + "step": 8277 + }, + { + "epoch": 0.7, + "learning_rate": 4.347536921027646e-06, + "loss": 0.8526, + "step": 8278 + }, + { + "epoch": 0.7, + "learning_rate": 4.345272765742765e-06, + "loss": 0.8706, + "step": 8279 + }, + { + "epoch": 0.7, + "learning_rate": 4.343009036526766e-06, + "loss": 0.8331, + "step": 8280 + }, + { + "epoch": 0.7, + "learning_rate": 4.3407457335502e-06, + "loss": 0.8423, + "step": 8281 + }, + { + "epoch": 0.7, + "learning_rate": 4.338482856983617e-06, + "loss": 0.8615, + "step": 8282 + }, + { + "epoch": 0.7, + "learning_rate": 4.336220406997503e-06, + "loss": 0.8956, + "step": 8283 + }, + { + "epoch": 0.7, + "learning_rate": 4.333958383762345e-06, + "loss": 0.8868, + "step": 8284 + }, + { + "epoch": 0.7, + "learning_rate": 4.3316967874485605e-06, + "loss": 0.8493, + "step": 8285 + }, + { + "epoch": 0.7, + "learning_rate": 4.329435618226574e-06, + "loss": 0.8677, + "step": 8286 + }, + { + "epoch": 0.7, + "learning_rate": 4.327174876266743e-06, + "loss": 0.86, + "step": 8287 + }, + { + "epoch": 0.7, + "learning_rate": 4.324914561739423e-06, + "loss": 0.8912, + "step": 8288 + }, + { + "epoch": 0.7, + "learning_rate": 4.322654674814912e-06, + "loss": 0.8971, + "step": 8289 + }, + { + "epoch": 0.7, + "learning_rate": 4.320395215663488e-06, + "loss": 0.862, + "step": 8290 + }, + { + "epoch": 0.7, + "learning_rate": 4.318136184455398e-06, + "loss": 0.8446, + "step": 8291 + }, + { + "epoch": 0.7, + "learning_rate": 4.315877581360853e-06, + "loss": 0.9019, + "step": 8292 + }, + { + "epoch": 0.7, + "learning_rate": 4.313619406550034e-06, + "loss": 0.8888, + "step": 8293 + }, + { + "epoch": 0.7, + "learning_rate": 4.311361660193087e-06, + "loss": 0.9001, + "step": 8294 + }, + { + "epoch": 0.7, + "learning_rate": 4.3091043424601285e-06, + "loss": 0.8791, + "step": 8295 + }, + { + "epoch": 0.7, + "learning_rate": 4.306847453521241e-06, + "loss": 0.8545, + "step": 8296 + }, + { + "epoch": 0.7, + "learning_rate": 4.304590993546474e-06, + "loss": 0.88, + "step": 8297 + }, + { + "epoch": 0.7, + "learning_rate": 4.302334962705848e-06, + "loss": 0.8969, + "step": 8298 + }, + { + "epoch": 0.7, + "learning_rate": 4.300079361169347e-06, + "loss": 0.8598, + "step": 8299 + }, + { + "epoch": 0.7, + "learning_rate": 4.297824189106926e-06, + "loss": 0.8074, + "step": 8300 + }, + { + "epoch": 0.7, + "learning_rate": 4.295569446688506e-06, + "loss": 0.8584, + "step": 8301 + }, + { + "epoch": 0.7, + "learning_rate": 4.293315134083975e-06, + "loss": 0.8434, + "step": 8302 + }, + { + "epoch": 0.7, + "learning_rate": 4.291061251463191e-06, + "loss": 0.8817, + "step": 8303 + }, + { + "epoch": 0.7, + "learning_rate": 4.288807798995978e-06, + "loss": 0.8777, + "step": 8304 + }, + { + "epoch": 0.7, + "learning_rate": 4.286554776852125e-06, + "loss": 0.9238, + "step": 8305 + }, + { + "epoch": 0.7, + "learning_rate": 4.284302185201395e-06, + "loss": 0.8527, + "step": 8306 + }, + { + "epoch": 0.7, + "learning_rate": 4.282050024213514e-06, + "loss": 0.9074, + "step": 8307 + }, + { + "epoch": 0.7, + "learning_rate": 4.279798294058176e-06, + "loss": 0.8642, + "step": 8308 + }, + { + "epoch": 0.7, + "learning_rate": 4.2775469949050455e-06, + "loss": 0.8801, + "step": 8309 + }, + { + "epoch": 0.7, + "learning_rate": 4.275296126923743e-06, + "loss": 0.8837, + "step": 8310 + }, + { + "epoch": 0.7, + "learning_rate": 4.273045690283878e-06, + "loss": 0.8387, + "step": 8311 + }, + { + "epoch": 0.7, + "learning_rate": 4.270795685155001e-06, + "loss": 0.8363, + "step": 8312 + }, + { + "epoch": 0.7, + "learning_rate": 4.268546111706661e-06, + "loss": 0.8217, + "step": 8313 + }, + { + "epoch": 0.7, + "learning_rate": 4.266296970108339e-06, + "loss": 0.8531, + "step": 8314 + }, + { + "epoch": 0.7, + "learning_rate": 4.26404826052952e-06, + "loss": 0.846, + "step": 8315 + }, + { + "epoch": 0.7, + "learning_rate": 4.261799983139621e-06, + "loss": 0.8742, + "step": 8316 + }, + { + "epoch": 0.7, + "learning_rate": 4.259552138108061e-06, + "loss": 0.9316, + "step": 8317 + }, + { + "epoch": 0.7, + "learning_rate": 4.257304725604192e-06, + "loss": 0.8952, + "step": 8318 + }, + { + "epoch": 0.71, + "learning_rate": 4.255057745797368e-06, + "loss": 0.8593, + "step": 8319 + }, + { + "epoch": 0.71, + "learning_rate": 4.252811198856878e-06, + "loss": 0.821, + "step": 8320 + }, + { + "epoch": 0.71, + "learning_rate": 4.250565084952002e-06, + "loss": 0.8699, + "step": 8321 + }, + { + "epoch": 0.71, + "learning_rate": 4.248319404251976e-06, + "loss": 0.8931, + "step": 8322 + }, + { + "epoch": 0.71, + "learning_rate": 4.246074156926002e-06, + "loss": 0.8772, + "step": 8323 + }, + { + "epoch": 0.71, + "learning_rate": 4.2438293431432665e-06, + "loss": 0.8912, + "step": 8324 + }, + { + "epoch": 0.71, + "learning_rate": 4.241584963072895e-06, + "loss": 0.8926, + "step": 8325 + }, + { + "epoch": 0.71, + "learning_rate": 4.239341016884008e-06, + "loss": 0.8766, + "step": 8326 + }, + { + "epoch": 0.71, + "learning_rate": 4.237097504745671e-06, + "loss": 0.8685, + "step": 8327 + }, + { + "epoch": 0.71, + "learning_rate": 4.2348544268269375e-06, + "loss": 0.8781, + "step": 8328 + }, + { + "epoch": 0.71, + "learning_rate": 4.232611783296804e-06, + "loss": 0.8454, + "step": 8329 + }, + { + "epoch": 0.71, + "learning_rate": 4.230369574324262e-06, + "loss": 0.8865, + "step": 8330 + }, + { + "epoch": 0.71, + "learning_rate": 4.228127800078246e-06, + "loss": 0.805, + "step": 8331 + }, + { + "epoch": 0.71, + "learning_rate": 4.225886460727671e-06, + "loss": 0.8488, + "step": 8332 + }, + { + "epoch": 0.71, + "learning_rate": 4.223645556441416e-06, + "loss": 0.8519, + "step": 8333 + }, + { + "epoch": 0.71, + "learning_rate": 4.2214050873883285e-06, + "loss": 0.8362, + "step": 8334 + }, + { + "epoch": 0.71, + "learning_rate": 4.21916505373722e-06, + "loss": 0.854, + "step": 8335 + }, + { + "epoch": 0.71, + "learning_rate": 4.2169254556568714e-06, + "loss": 0.8434, + "step": 8336 + }, + { + "epoch": 0.71, + "learning_rate": 4.214686293316031e-06, + "loss": 0.8383, + "step": 8337 + }, + { + "epoch": 0.71, + "learning_rate": 4.212447566883415e-06, + "loss": 0.8843, + "step": 8338 + }, + { + "epoch": 0.71, + "learning_rate": 4.210209276527705e-06, + "loss": 0.8805, + "step": 8339 + }, + { + "epoch": 0.71, + "learning_rate": 4.207971422417549e-06, + "loss": 0.8584, + "step": 8340 + }, + { + "epoch": 0.71, + "learning_rate": 4.205734004721565e-06, + "loss": 0.8519, + "step": 8341 + }, + { + "epoch": 0.71, + "learning_rate": 4.203497023608335e-06, + "loss": 0.8564, + "step": 8342 + }, + { + "epoch": 0.71, + "learning_rate": 4.201260479246411e-06, + "loss": 0.8457, + "step": 8343 + }, + { + "epoch": 0.71, + "learning_rate": 4.19902437180431e-06, + "loss": 0.8669, + "step": 8344 + }, + { + "epoch": 0.71, + "learning_rate": 4.196788701450517e-06, + "loss": 0.8749, + "step": 8345 + }, + { + "epoch": 0.71, + "learning_rate": 4.194553468353485e-06, + "loss": 0.8705, + "step": 8346 + }, + { + "epoch": 0.71, + "learning_rate": 4.192318672681631e-06, + "loss": 0.9012, + "step": 8347 + }, + { + "epoch": 0.71, + "learning_rate": 4.190084314603342e-06, + "loss": 0.8398, + "step": 8348 + }, + { + "epoch": 0.71, + "learning_rate": 4.187850394286972e-06, + "loss": 0.8916, + "step": 8349 + }, + { + "epoch": 0.71, + "learning_rate": 4.1856169119008384e-06, + "loss": 0.9101, + "step": 8350 + }, + { + "epoch": 0.71, + "learning_rate": 4.1833838676132346e-06, + "loss": 0.8462, + "step": 8351 + }, + { + "epoch": 0.71, + "learning_rate": 4.181151261592403e-06, + "loss": 0.8457, + "step": 8352 + }, + { + "epoch": 0.71, + "learning_rate": 4.178919094006578e-06, + "loss": 0.8876, + "step": 8353 + }, + { + "epoch": 0.71, + "learning_rate": 4.176687365023934e-06, + "loss": 0.8814, + "step": 8354 + }, + { + "epoch": 0.71, + "learning_rate": 4.174456074812641e-06, + "loss": 0.8412, + "step": 8355 + }, + { + "epoch": 0.71, + "learning_rate": 4.1722252235408045e-06, + "loss": 0.828, + "step": 8356 + }, + { + "epoch": 0.71, + "learning_rate": 4.16999481137653e-06, + "loss": 0.8787, + "step": 8357 + }, + { + "epoch": 0.71, + "learning_rate": 4.167764838487857e-06, + "loss": 0.8519, + "step": 8358 + }, + { + "epoch": 0.71, + "learning_rate": 4.165535305042822e-06, + "loss": 0.8609, + "step": 8359 + }, + { + "epoch": 0.71, + "learning_rate": 4.163306211209404e-06, + "loss": 0.5007, + "step": 8360 + }, + { + "epoch": 0.71, + "learning_rate": 4.161077557155569e-06, + "loss": 0.8184, + "step": 8361 + }, + { + "epoch": 0.71, + "learning_rate": 4.158849343049233e-06, + "loss": 0.8874, + "step": 8362 + }, + { + "epoch": 0.71, + "learning_rate": 4.156621569058288e-06, + "loss": 0.8659, + "step": 8363 + }, + { + "epoch": 0.71, + "learning_rate": 4.15439423535059e-06, + "loss": 0.8452, + "step": 8364 + }, + { + "epoch": 0.71, + "learning_rate": 4.152167342093965e-06, + "loss": 0.7983, + "step": 8365 + }, + { + "epoch": 0.71, + "learning_rate": 4.149940889456202e-06, + "loss": 0.8455, + "step": 8366 + }, + { + "epoch": 0.71, + "learning_rate": 4.147714877605055e-06, + "loss": 0.5562, + "step": 8367 + }, + { + "epoch": 0.71, + "learning_rate": 4.1454893067082605e-06, + "loss": 0.8719, + "step": 8368 + }, + { + "epoch": 0.71, + "learning_rate": 4.143264176933492e-06, + "loss": 0.85, + "step": 8369 + }, + { + "epoch": 0.71, + "learning_rate": 4.141039488448424e-06, + "loss": 0.8306, + "step": 8370 + }, + { + "epoch": 0.71, + "learning_rate": 4.138815241420666e-06, + "loss": 0.8785, + "step": 8371 + }, + { + "epoch": 0.71, + "learning_rate": 4.1365914360178235e-06, + "loss": 0.8619, + "step": 8372 + }, + { + "epoch": 0.71, + "learning_rate": 4.134368072407444e-06, + "loss": 0.8616, + "step": 8373 + }, + { + "epoch": 0.71, + "learning_rate": 4.1321451507570555e-06, + "loss": 0.9041, + "step": 8374 + }, + { + "epoch": 0.71, + "learning_rate": 4.129922671234148e-06, + "loss": 0.8806, + "step": 8375 + }, + { + "epoch": 0.71, + "learning_rate": 4.127700634006181e-06, + "loss": 0.8982, + "step": 8376 + }, + { + "epoch": 0.71, + "learning_rate": 4.12547903924058e-06, + "loss": 0.8607, + "step": 8377 + }, + { + "epoch": 0.71, + "learning_rate": 4.123257887104733e-06, + "loss": 0.8637, + "step": 8378 + }, + { + "epoch": 0.71, + "learning_rate": 4.121037177766002e-06, + "loss": 0.8663, + "step": 8379 + }, + { + "epoch": 0.71, + "learning_rate": 4.118816911391709e-06, + "loss": 0.8492, + "step": 8380 + }, + { + "epoch": 0.71, + "learning_rate": 4.116597088149146e-06, + "loss": 0.8362, + "step": 8381 + }, + { + "epoch": 0.71, + "learning_rate": 4.1143777082055715e-06, + "loss": 0.7956, + "step": 8382 + }, + { + "epoch": 0.71, + "learning_rate": 4.1121587717282085e-06, + "loss": 0.863, + "step": 8383 + }, + { + "epoch": 0.71, + "learning_rate": 4.109940278884249e-06, + "loss": 0.8776, + "step": 8384 + }, + { + "epoch": 0.71, + "learning_rate": 4.10772222984085e-06, + "loss": 0.914, + "step": 8385 + }, + { + "epoch": 0.71, + "learning_rate": 4.105504624765137e-06, + "loss": 0.8396, + "step": 8386 + }, + { + "epoch": 0.71, + "learning_rate": 4.1032874638242004e-06, + "loss": 0.8966, + "step": 8387 + }, + { + "epoch": 0.71, + "learning_rate": 4.1010707471850965e-06, + "loss": 0.9399, + "step": 8388 + }, + { + "epoch": 0.71, + "learning_rate": 4.098854475014849e-06, + "loss": 0.8899, + "step": 8389 + }, + { + "epoch": 0.71, + "learning_rate": 4.09663864748045e-06, + "loss": 0.8733, + "step": 8390 + }, + { + "epoch": 0.71, + "learning_rate": 4.094423264748855e-06, + "loss": 0.8612, + "step": 8391 + }, + { + "epoch": 0.71, + "learning_rate": 4.092208326986986e-06, + "loss": 0.8119, + "step": 8392 + }, + { + "epoch": 0.71, + "learning_rate": 4.089993834361738e-06, + "loss": 0.851, + "step": 8393 + }, + { + "epoch": 0.71, + "learning_rate": 4.087779787039957e-06, + "loss": 0.8979, + "step": 8394 + }, + { + "epoch": 0.71, + "learning_rate": 4.085566185188478e-06, + "loss": 0.8689, + "step": 8395 + }, + { + "epoch": 0.71, + "learning_rate": 4.083353028974079e-06, + "loss": 0.8762, + "step": 8396 + }, + { + "epoch": 0.71, + "learning_rate": 4.081140318563526e-06, + "loss": 0.9047, + "step": 8397 + }, + { + "epoch": 0.71, + "learning_rate": 4.078928054123529e-06, + "loss": 0.8989, + "step": 8398 + }, + { + "epoch": 0.71, + "learning_rate": 4.076716235820789e-06, + "loss": 0.8828, + "step": 8399 + }, + { + "epoch": 0.71, + "learning_rate": 4.074504863821949e-06, + "loss": 0.8267, + "step": 8400 + }, + { + "epoch": 0.71, + "learning_rate": 4.072293938293641e-06, + "loss": 0.8285, + "step": 8401 + }, + { + "epoch": 0.71, + "learning_rate": 4.070083459402442e-06, + "loss": 0.85, + "step": 8402 + }, + { + "epoch": 0.71, + "learning_rate": 4.067873427314917e-06, + "loss": 0.8578, + "step": 8403 + }, + { + "epoch": 0.71, + "learning_rate": 4.065663842197576e-06, + "loss": 0.8228, + "step": 8404 + }, + { + "epoch": 0.71, + "learning_rate": 4.06345470421691e-06, + "loss": 0.8847, + "step": 8405 + }, + { + "epoch": 0.71, + "learning_rate": 4.061246013539372e-06, + "loss": 0.5378, + "step": 8406 + }, + { + "epoch": 0.71, + "learning_rate": 4.059037770331379e-06, + "loss": 0.8766, + "step": 8407 + }, + { + "epoch": 0.71, + "learning_rate": 4.056829974759318e-06, + "loss": 0.8403, + "step": 8408 + }, + { + "epoch": 0.71, + "learning_rate": 4.054622626989539e-06, + "loss": 0.8984, + "step": 8409 + }, + { + "epoch": 0.71, + "learning_rate": 4.0524157271883635e-06, + "loss": 0.8573, + "step": 8410 + }, + { + "epoch": 0.71, + "learning_rate": 4.0502092755220676e-06, + "loss": 0.821, + "step": 8411 + }, + { + "epoch": 0.71, + "learning_rate": 4.048003272156916e-06, + "loss": 0.8615, + "step": 8412 + }, + { + "epoch": 0.71, + "learning_rate": 4.045797717259109e-06, + "loss": 0.9136, + "step": 8413 + }, + { + "epoch": 0.71, + "learning_rate": 4.043592610994843e-06, + "loss": 0.593, + "step": 8414 + }, + { + "epoch": 0.71, + "learning_rate": 4.041387953530258e-06, + "loss": 0.8601, + "step": 8415 + }, + { + "epoch": 0.71, + "learning_rate": 4.0391837450314715e-06, + "loss": 0.8564, + "step": 8416 + }, + { + "epoch": 0.71, + "learning_rate": 4.036979985664566e-06, + "loss": 0.8687, + "step": 8417 + }, + { + "epoch": 0.71, + "learning_rate": 4.034776675595589e-06, + "loss": 0.8766, + "step": 8418 + }, + { + "epoch": 0.71, + "learning_rate": 4.032573814990553e-06, + "loss": 0.8369, + "step": 8419 + }, + { + "epoch": 0.71, + "learning_rate": 4.030371404015438e-06, + "loss": 0.9099, + "step": 8420 + }, + { + "epoch": 0.71, + "learning_rate": 4.02816944283619e-06, + "loss": 0.8752, + "step": 8421 + }, + { + "epoch": 0.71, + "learning_rate": 4.025967931618722e-06, + "loss": 0.9093, + "step": 8422 + }, + { + "epoch": 0.71, + "learning_rate": 4.02376687052891e-06, + "loss": 0.8289, + "step": 8423 + }, + { + "epoch": 0.71, + "learning_rate": 4.0215662597326e-06, + "loss": 0.8321, + "step": 8424 + }, + { + "epoch": 0.71, + "learning_rate": 4.019366099395602e-06, + "loss": 0.891, + "step": 8425 + }, + { + "epoch": 0.71, + "learning_rate": 4.017166389683692e-06, + "loss": 0.874, + "step": 8426 + }, + { + "epoch": 0.71, + "learning_rate": 4.014967130762612e-06, + "loss": 0.9111, + "step": 8427 + }, + { + "epoch": 0.71, + "learning_rate": 4.012768322798072e-06, + "loss": 0.8802, + "step": 8428 + }, + { + "epoch": 0.71, + "learning_rate": 4.010569965955744e-06, + "loss": 0.8877, + "step": 8429 + }, + { + "epoch": 0.71, + "learning_rate": 4.00837206040127e-06, + "loss": 0.8492, + "step": 8430 + }, + { + "epoch": 0.71, + "learning_rate": 4.006174606300255e-06, + "loss": 0.8744, + "step": 8431 + }, + { + "epoch": 0.71, + "learning_rate": 4.003977603818274e-06, + "loss": 0.8657, + "step": 8432 + }, + { + "epoch": 0.71, + "learning_rate": 4.001781053120863e-06, + "loss": 0.8395, + "step": 8433 + }, + { + "epoch": 0.71, + "learning_rate": 3.999584954373528e-06, + "loss": 0.8993, + "step": 8434 + }, + { + "epoch": 0.71, + "learning_rate": 3.99738930774174e-06, + "loss": 0.8264, + "step": 8435 + }, + { + "epoch": 0.71, + "learning_rate": 3.995194113390929e-06, + "loss": 0.8481, + "step": 8436 + }, + { + "epoch": 0.72, + "learning_rate": 3.992999371486508e-06, + "loss": 0.8084, + "step": 8437 + }, + { + "epoch": 0.72, + "learning_rate": 3.990805082193831e-06, + "loss": 0.8776, + "step": 8438 + }, + { + "epoch": 0.72, + "learning_rate": 3.9886112456782475e-06, + "loss": 0.8944, + "step": 8439 + }, + { + "epoch": 0.72, + "learning_rate": 3.986417862105043e-06, + "loss": 0.8932, + "step": 8440 + }, + { + "epoch": 0.72, + "learning_rate": 3.984224931639496e-06, + "loss": 0.8832, + "step": 8441 + }, + { + "epoch": 0.72, + "learning_rate": 3.9820324544468255e-06, + "loss": 0.8599, + "step": 8442 + }, + { + "epoch": 0.72, + "learning_rate": 3.979840430692242e-06, + "loss": 0.8616, + "step": 8443 + }, + { + "epoch": 0.72, + "learning_rate": 3.977648860540896e-06, + "loss": 0.8676, + "step": 8444 + }, + { + "epoch": 0.72, + "learning_rate": 3.975457744157929e-06, + "loss": 0.8752, + "step": 8445 + }, + { + "epoch": 0.72, + "learning_rate": 3.973267081708425e-06, + "loss": 0.8733, + "step": 8446 + }, + { + "epoch": 0.72, + "learning_rate": 3.97107687335745e-06, + "loss": 0.882, + "step": 8447 + }, + { + "epoch": 0.72, + "learning_rate": 3.96888711927003e-06, + "loss": 0.8855, + "step": 8448 + }, + { + "epoch": 0.72, + "learning_rate": 3.9666978196111575e-06, + "loss": 0.8371, + "step": 8449 + }, + { + "epoch": 0.72, + "learning_rate": 3.964508974545788e-06, + "loss": 0.8745, + "step": 8450 + }, + { + "epoch": 0.72, + "learning_rate": 3.9623205842388475e-06, + "loss": 0.8282, + "step": 8451 + }, + { + "epoch": 0.72, + "learning_rate": 3.960132648855226e-06, + "loss": 0.8693, + "step": 8452 + }, + { + "epoch": 0.72, + "learning_rate": 3.957945168559777e-06, + "loss": 0.8365, + "step": 8453 + }, + { + "epoch": 0.72, + "learning_rate": 3.9557581435173235e-06, + "loss": 0.8334, + "step": 8454 + }, + { + "epoch": 0.72, + "learning_rate": 3.953571573892646e-06, + "loss": 0.8514, + "step": 8455 + }, + { + "epoch": 0.72, + "learning_rate": 3.951385459850508e-06, + "loss": 0.8749, + "step": 8456 + }, + { + "epoch": 0.72, + "learning_rate": 3.949199801555619e-06, + "loss": 0.9061, + "step": 8457 + }, + { + "epoch": 0.72, + "learning_rate": 3.947014599172664e-06, + "loss": 0.8813, + "step": 8458 + }, + { + "epoch": 0.72, + "learning_rate": 3.944829852866293e-06, + "loss": 0.877, + "step": 8459 + }, + { + "epoch": 0.72, + "learning_rate": 3.9426455628011204e-06, + "loss": 0.8804, + "step": 8460 + }, + { + "epoch": 0.72, + "learning_rate": 3.940461729141728e-06, + "loss": 0.9079, + "step": 8461 + }, + { + "epoch": 0.72, + "learning_rate": 3.93827835205266e-06, + "loss": 0.8527, + "step": 8462 + }, + { + "epoch": 0.72, + "learning_rate": 3.93609543169843e-06, + "loss": 0.8563, + "step": 8463 + }, + { + "epoch": 0.72, + "learning_rate": 3.933912968243515e-06, + "loss": 0.9072, + "step": 8464 + }, + { + "epoch": 0.72, + "learning_rate": 3.9317309618523565e-06, + "loss": 0.8716, + "step": 8465 + }, + { + "epoch": 0.72, + "learning_rate": 3.929549412689368e-06, + "loss": 0.8297, + "step": 8466 + }, + { + "epoch": 0.72, + "learning_rate": 3.9273683209189115e-06, + "loss": 0.8481, + "step": 8467 + }, + { + "epoch": 0.72, + "learning_rate": 3.925187686705339e-06, + "loss": 0.8628, + "step": 8468 + }, + { + "epoch": 0.72, + "learning_rate": 3.923007510212952e-06, + "loss": 0.882, + "step": 8469 + }, + { + "epoch": 0.72, + "learning_rate": 3.920827791606018e-06, + "loss": 0.887, + "step": 8470 + }, + { + "epoch": 0.72, + "learning_rate": 3.918648531048776e-06, + "loss": 0.8697, + "step": 8471 + }, + { + "epoch": 0.72, + "learning_rate": 3.916469728705428e-06, + "loss": 0.9016, + "step": 8472 + }, + { + "epoch": 0.72, + "learning_rate": 3.914291384740139e-06, + "loss": 0.8793, + "step": 8473 + }, + { + "epoch": 0.72, + "learning_rate": 3.912113499317042e-06, + "loss": 0.8713, + "step": 8474 + }, + { + "epoch": 0.72, + "learning_rate": 3.9099360726002355e-06, + "loss": 0.8858, + "step": 8475 + }, + { + "epoch": 0.72, + "learning_rate": 3.907759104753782e-06, + "loss": 0.8836, + "step": 8476 + }, + { + "epoch": 0.72, + "learning_rate": 3.905582595941716e-06, + "loss": 0.8702, + "step": 8477 + }, + { + "epoch": 0.72, + "learning_rate": 3.903406546328019e-06, + "loss": 0.8589, + "step": 8478 + }, + { + "epoch": 0.72, + "learning_rate": 3.901230956076665e-06, + "loss": 0.8712, + "step": 8479 + }, + { + "epoch": 0.72, + "learning_rate": 3.899055825351567e-06, + "loss": 0.868, + "step": 8480 + }, + { + "epoch": 0.72, + "learning_rate": 3.896881154316625e-06, + "loss": 0.8588, + "step": 8481 + }, + { + "epoch": 0.72, + "learning_rate": 3.894706943135686e-06, + "loss": 0.8373, + "step": 8482 + }, + { + "epoch": 0.72, + "learning_rate": 3.892533191972582e-06, + "loss": 0.8328, + "step": 8483 + }, + { + "epoch": 0.72, + "learning_rate": 3.890359900991086e-06, + "loss": 0.8408, + "step": 8484 + }, + { + "epoch": 0.72, + "learning_rate": 3.888187070354964e-06, + "loss": 0.8518, + "step": 8485 + }, + { + "epoch": 0.72, + "learning_rate": 3.886014700227919e-06, + "loss": 0.9422, + "step": 8486 + }, + { + "epoch": 0.72, + "learning_rate": 3.883842790773647e-06, + "loss": 0.9219, + "step": 8487 + }, + { + "epoch": 0.72, + "learning_rate": 3.881671342155786e-06, + "loss": 0.8752, + "step": 8488 + }, + { + "epoch": 0.72, + "learning_rate": 3.879500354537952e-06, + "loss": 0.9162, + "step": 8489 + }, + { + "epoch": 0.72, + "learning_rate": 3.8773298280837245e-06, + "loss": 0.8858, + "step": 8490 + }, + { + "epoch": 0.72, + "learning_rate": 3.875159762956644e-06, + "loss": 0.838, + "step": 8491 + }, + { + "epoch": 0.72, + "learning_rate": 3.872990159320222e-06, + "loss": 0.9141, + "step": 8492 + }, + { + "epoch": 0.72, + "learning_rate": 3.870821017337931e-06, + "loss": 0.8629, + "step": 8493 + }, + { + "epoch": 0.72, + "learning_rate": 3.868652337173211e-06, + "loss": 0.8876, + "step": 8494 + }, + { + "epoch": 0.72, + "learning_rate": 3.866484118989465e-06, + "loss": 0.869, + "step": 8495 + }, + { + "epoch": 0.72, + "learning_rate": 3.864316362950065e-06, + "loss": 0.8624, + "step": 8496 + }, + { + "epoch": 0.72, + "learning_rate": 3.862149069218343e-06, + "loss": 0.857, + "step": 8497 + }, + { + "epoch": 0.72, + "learning_rate": 3.8599822379576005e-06, + "loss": 0.839, + "step": 8498 + }, + { + "epoch": 0.72, + "learning_rate": 3.857815869331102e-06, + "loss": 0.8844, + "step": 8499 + }, + { + "epoch": 0.72, + "learning_rate": 3.855649963502078e-06, + "loss": 0.8767, + "step": 8500 + }, + { + "epoch": 0.72, + "learning_rate": 3.853484520633725e-06, + "loss": 0.5088, + "step": 8501 + }, + { + "epoch": 0.72, + "learning_rate": 3.8513195408892e-06, + "loss": 0.8678, + "step": 8502 + }, + { + "epoch": 0.72, + "learning_rate": 3.8491550244316326e-06, + "loss": 0.8813, + "step": 8503 + }, + { + "epoch": 0.72, + "learning_rate": 3.84699097142411e-06, + "loss": 0.918, + "step": 8504 + }, + { + "epoch": 0.72, + "learning_rate": 3.8448273820296915e-06, + "loss": 0.8438, + "step": 8505 + }, + { + "epoch": 0.72, + "learning_rate": 3.842664256411393e-06, + "loss": 0.83, + "step": 8506 + }, + { + "epoch": 0.72, + "learning_rate": 3.840501594732205e-06, + "loss": 0.8295, + "step": 8507 + }, + { + "epoch": 0.72, + "learning_rate": 3.8383393971550805e-06, + "loss": 0.8439, + "step": 8508 + }, + { + "epoch": 0.72, + "learning_rate": 3.836177663842925e-06, + "loss": 0.8488, + "step": 8509 + }, + { + "epoch": 0.72, + "learning_rate": 3.834016394958632e-06, + "loss": 0.8538, + "step": 8510 + }, + { + "epoch": 0.72, + "learning_rate": 3.831855590665035e-06, + "loss": 0.8506, + "step": 8511 + }, + { + "epoch": 0.72, + "learning_rate": 3.829695251124953e-06, + "loss": 0.8514, + "step": 8512 + }, + { + "epoch": 0.72, + "learning_rate": 3.827535376501162e-06, + "loss": 0.8569, + "step": 8513 + }, + { + "epoch": 0.72, + "learning_rate": 3.8253759669564e-06, + "loss": 0.8809, + "step": 8514 + }, + { + "epoch": 0.72, + "learning_rate": 3.823217022653376e-06, + "loss": 0.8477, + "step": 8515 + }, + { + "epoch": 0.72, + "learning_rate": 3.821058543754758e-06, + "loss": 0.8654, + "step": 8516 + }, + { + "epoch": 0.72, + "learning_rate": 3.818900530423181e-06, + "loss": 0.8876, + "step": 8517 + }, + { + "epoch": 0.72, + "learning_rate": 3.816742982821249e-06, + "loss": 0.8545, + "step": 8518 + }, + { + "epoch": 0.72, + "learning_rate": 3.8145859011115283e-06, + "loss": 0.8517, + "step": 8519 + }, + { + "epoch": 0.72, + "learning_rate": 3.8124292854565405e-06, + "loss": 0.8358, + "step": 8520 + }, + { + "epoch": 0.72, + "learning_rate": 3.810273136018793e-06, + "loss": 0.8585, + "step": 8521 + }, + { + "epoch": 0.72, + "learning_rate": 3.8081174529607346e-06, + "loss": 0.8456, + "step": 8522 + }, + { + "epoch": 0.72, + "learning_rate": 3.8059622364448023e-06, + "loss": 0.8304, + "step": 8523 + }, + { + "epoch": 0.72, + "learning_rate": 3.803807486633373e-06, + "loss": 0.8765, + "step": 8524 + }, + { + "epoch": 0.72, + "learning_rate": 3.801653203688814e-06, + "loss": 0.8974, + "step": 8525 + }, + { + "epoch": 0.72, + "learning_rate": 3.7994993877734345e-06, + "loss": 0.8654, + "step": 8526 + }, + { + "epoch": 0.72, + "learning_rate": 3.797346039049529e-06, + "loss": 0.8476, + "step": 8527 + }, + { + "epoch": 0.72, + "learning_rate": 3.7951931576793333e-06, + "loss": 0.8468, + "step": 8528 + }, + { + "epoch": 0.72, + "learning_rate": 3.793040743825077e-06, + "loss": 0.8319, + "step": 8529 + }, + { + "epoch": 0.72, + "learning_rate": 3.7908887976489284e-06, + "loss": 0.8588, + "step": 8530 + }, + { + "epoch": 0.72, + "learning_rate": 3.7887373193130327e-06, + "loss": 0.7925, + "step": 8531 + }, + { + "epoch": 0.72, + "learning_rate": 3.7865863089794985e-06, + "loss": 0.9069, + "step": 8532 + }, + { + "epoch": 0.72, + "learning_rate": 3.7844357668104005e-06, + "loss": 0.8212, + "step": 8533 + }, + { + "epoch": 0.72, + "learning_rate": 3.7822856929677753e-06, + "loss": 0.5546, + "step": 8534 + }, + { + "epoch": 0.72, + "learning_rate": 3.780136087613624e-06, + "loss": 0.859, + "step": 8535 + }, + { + "epoch": 0.72, + "learning_rate": 3.7779869509099166e-06, + "loss": 0.8042, + "step": 8536 + }, + { + "epoch": 0.72, + "learning_rate": 3.7758382830185826e-06, + "loss": 0.7955, + "step": 8537 + }, + { + "epoch": 0.72, + "learning_rate": 3.773690084101519e-06, + "loss": 0.873, + "step": 8538 + }, + { + "epoch": 0.72, + "learning_rate": 3.7715423543205875e-06, + "loss": 0.8614, + "step": 8539 + }, + { + "epoch": 0.72, + "learning_rate": 3.7693950938376145e-06, + "loss": 0.8161, + "step": 8540 + }, + { + "epoch": 0.72, + "learning_rate": 3.767248302814388e-06, + "loss": 0.8215, + "step": 8541 + }, + { + "epoch": 0.72, + "learning_rate": 3.7651019814126656e-06, + "loss": 0.8527, + "step": 8542 + }, + { + "epoch": 0.72, + "learning_rate": 3.7629561297941665e-06, + "loss": 0.8297, + "step": 8543 + }, + { + "epoch": 0.72, + "learning_rate": 3.7608107481205735e-06, + "loss": 0.854, + "step": 8544 + }, + { + "epoch": 0.72, + "learning_rate": 3.7586658365535367e-06, + "loss": 0.8678, + "step": 8545 + }, + { + "epoch": 0.72, + "learning_rate": 3.75652139525467e-06, + "loss": 0.8224, + "step": 8546 + }, + { + "epoch": 0.72, + "learning_rate": 3.75437742438555e-06, + "loss": 0.8703, + "step": 8547 + }, + { + "epoch": 0.72, + "learning_rate": 3.752233924107721e-06, + "loss": 0.8409, + "step": 8548 + }, + { + "epoch": 0.72, + "learning_rate": 3.7500908945826885e-06, + "loss": 0.8927, + "step": 8549 + }, + { + "epoch": 0.72, + "learning_rate": 3.747948335971928e-06, + "loss": 0.9006, + "step": 8550 + }, + { + "epoch": 0.72, + "learning_rate": 3.745806248436866e-06, + "loss": 0.8596, + "step": 8551 + }, + { + "epoch": 0.72, + "learning_rate": 3.743664632138918e-06, + "loss": 0.8072, + "step": 8552 + }, + { + "epoch": 0.72, + "learning_rate": 3.7415234872394323e-06, + "loss": 0.8809, + "step": 8553 + }, + { + "epoch": 0.72, + "learning_rate": 3.7393828138997543e-06, + "loss": 0.8842, + "step": 8554 + }, + { + "epoch": 0.73, + "learning_rate": 3.7372426122811658e-06, + "loss": 0.4513, + "step": 8555 + }, + { + "epoch": 0.73, + "learning_rate": 3.735102882544932e-06, + "loss": 0.9056, + "step": 8556 + }, + { + "epoch": 0.73, + "learning_rate": 3.732963624852275e-06, + "loss": 0.8932, + "step": 8557 + }, + { + "epoch": 0.73, + "learning_rate": 3.730824839364382e-06, + "loss": 0.8474, + "step": 8558 + }, + { + "epoch": 0.73, + "learning_rate": 3.7286865262424056e-06, + "loss": 0.8403, + "step": 8559 + }, + { + "epoch": 0.73, + "learning_rate": 3.72654868564746e-06, + "loss": 0.8587, + "step": 8560 + }, + { + "epoch": 0.73, + "learning_rate": 3.7244113177406305e-06, + "loss": 0.8765, + "step": 8561 + }, + { + "epoch": 0.73, + "learning_rate": 3.722274422682952e-06, + "loss": 0.8418, + "step": 8562 + }, + { + "epoch": 0.73, + "learning_rate": 3.720138000635447e-06, + "loss": 0.8874, + "step": 8563 + }, + { + "epoch": 0.73, + "learning_rate": 3.7180020517590764e-06, + "loss": 0.9166, + "step": 8564 + }, + { + "epoch": 0.73, + "learning_rate": 3.715866576214793e-06, + "loss": 0.847, + "step": 8565 + }, + { + "epoch": 0.73, + "learning_rate": 3.7137315741634825e-06, + "loss": 0.8871, + "step": 8566 + }, + { + "epoch": 0.73, + "learning_rate": 3.7115970457660277e-06, + "loss": 0.8397, + "step": 8567 + }, + { + "epoch": 0.73, + "learning_rate": 3.7094629911832458e-06, + "loss": 0.8857, + "step": 8568 + }, + { + "epoch": 0.73, + "learning_rate": 3.7073294105759462e-06, + "loss": 0.8492, + "step": 8569 + }, + { + "epoch": 0.73, + "learning_rate": 3.705196304104873e-06, + "loss": 0.8885, + "step": 8570 + }, + { + "epoch": 0.73, + "learning_rate": 3.7030636719307666e-06, + "loss": 0.8819, + "step": 8571 + }, + { + "epoch": 0.73, + "learning_rate": 3.7009315142143033e-06, + "loss": 0.9088, + "step": 8572 + }, + { + "epoch": 0.73, + "learning_rate": 3.6987998311161388e-06, + "loss": 0.8426, + "step": 8573 + }, + { + "epoch": 0.73, + "learning_rate": 3.6966686227968907e-06, + "loss": 0.8613, + "step": 8574 + }, + { + "epoch": 0.73, + "learning_rate": 3.6945378894171392e-06, + "loss": 0.8798, + "step": 8575 + }, + { + "epoch": 0.73, + "learning_rate": 3.69240763113743e-06, + "loss": 0.9003, + "step": 8576 + }, + { + "epoch": 0.73, + "learning_rate": 3.690277848118273e-06, + "loss": 0.8575, + "step": 8577 + }, + { + "epoch": 0.73, + "learning_rate": 3.688148540520141e-06, + "loss": 0.8593, + "step": 8578 + }, + { + "epoch": 0.73, + "learning_rate": 3.686019708503472e-06, + "loss": 0.8692, + "step": 8579 + }, + { + "epoch": 0.73, + "learning_rate": 3.683891352228668e-06, + "loss": 0.8914, + "step": 8580 + }, + { + "epoch": 0.73, + "learning_rate": 3.6817634718560947e-06, + "loss": 0.8928, + "step": 8581 + }, + { + "epoch": 0.73, + "learning_rate": 3.6796360675460817e-06, + "loss": 0.5316, + "step": 8582 + }, + { + "epoch": 0.73, + "learning_rate": 3.6775091394589247e-06, + "loss": 0.8722, + "step": 8583 + }, + { + "epoch": 0.73, + "learning_rate": 3.6753826877548817e-06, + "loss": 0.8955, + "step": 8584 + }, + { + "epoch": 0.73, + "learning_rate": 3.6732567125941755e-06, + "loss": 0.833, + "step": 8585 + }, + { + "epoch": 0.73, + "learning_rate": 3.6711312141369913e-06, + "loss": 0.864, + "step": 8586 + }, + { + "epoch": 0.73, + "learning_rate": 3.6690061925434817e-06, + "loss": 0.8882, + "step": 8587 + }, + { + "epoch": 0.73, + "learning_rate": 3.6668816479737614e-06, + "loss": 0.8445, + "step": 8588 + }, + { + "epoch": 0.73, + "learning_rate": 3.6647575805879077e-06, + "loss": 0.8471, + "step": 8589 + }, + { + "epoch": 0.73, + "learning_rate": 3.662633990545964e-06, + "loss": 0.8793, + "step": 8590 + }, + { + "epoch": 0.73, + "learning_rate": 3.6605108780079378e-06, + "loss": 0.8975, + "step": 8591 + }, + { + "epoch": 0.73, + "learning_rate": 3.6583882431338047e-06, + "loss": 0.9067, + "step": 8592 + }, + { + "epoch": 0.73, + "learning_rate": 3.6562660860834866e-06, + "loss": 0.8638, + "step": 8593 + }, + { + "epoch": 0.73, + "learning_rate": 3.6541444070168984e-06, + "loss": 0.8374, + "step": 8594 + }, + { + "epoch": 0.73, + "learning_rate": 3.6520232060938886e-06, + "loss": 0.8177, + "step": 8595 + }, + { + "epoch": 0.73, + "learning_rate": 3.6499024834742967e-06, + "loss": 0.8413, + "step": 8596 + }, + { + "epoch": 0.73, + "learning_rate": 3.647782239317903e-06, + "loss": 0.8635, + "step": 8597 + }, + { + "epoch": 0.73, + "learning_rate": 3.6456624737844726e-06, + "loss": 0.9059, + "step": 8598 + }, + { + "epoch": 0.73, + "learning_rate": 3.6435431870337123e-06, + "loss": 0.8247, + "step": 8599 + }, + { + "epoch": 0.73, + "learning_rate": 3.6414243792253146e-06, + "loss": 0.9022, + "step": 8600 + }, + { + "epoch": 0.73, + "learning_rate": 3.639306050518924e-06, + "loss": 0.8257, + "step": 8601 + }, + { + "epoch": 0.73, + "learning_rate": 3.637188201074149e-06, + "loss": 0.7988, + "step": 8602 + }, + { + "epoch": 0.73, + "learning_rate": 3.6350708310505678e-06, + "loss": 0.8685, + "step": 8603 + }, + { + "epoch": 0.73, + "learning_rate": 3.6329539406077097e-06, + "loss": 0.9131, + "step": 8604 + }, + { + "epoch": 0.73, + "learning_rate": 3.630837529905089e-06, + "loss": 0.881, + "step": 8605 + }, + { + "epoch": 0.73, + "learning_rate": 3.6287215991021596e-06, + "loss": 0.8341, + "step": 8606 + }, + { + "epoch": 0.73, + "learning_rate": 3.6266061483583635e-06, + "loss": 0.8811, + "step": 8607 + }, + { + "epoch": 0.73, + "learning_rate": 3.6244911778330826e-06, + "loss": 0.8345, + "step": 8608 + }, + { + "epoch": 0.73, + "learning_rate": 3.622376687685686e-06, + "loss": 0.8803, + "step": 8609 + }, + { + "epoch": 0.73, + "learning_rate": 3.6202626780754823e-06, + "loss": 0.8772, + "step": 8610 + }, + { + "epoch": 0.73, + "learning_rate": 3.6181491491617706e-06, + "loss": 0.8594, + "step": 8611 + }, + { + "epoch": 0.73, + "learning_rate": 3.6160361011037846e-06, + "loss": 0.8803, + "step": 8612 + }, + { + "epoch": 0.73, + "learning_rate": 3.6139235340607516e-06, + "loss": 0.8434, + "step": 8613 + }, + { + "epoch": 0.73, + "learning_rate": 3.611811448191839e-06, + "loss": 0.8766, + "step": 8614 + }, + { + "epoch": 0.73, + "learning_rate": 3.6096998436561883e-06, + "loss": 0.8672, + "step": 8615 + }, + { + "epoch": 0.73, + "learning_rate": 3.6075887206129047e-06, + "loss": 0.5599, + "step": 8616 + }, + { + "epoch": 0.73, + "learning_rate": 3.6054780792210542e-06, + "loss": 0.8666, + "step": 8617 + }, + { + "epoch": 0.73, + "learning_rate": 3.60336791963967e-06, + "loss": 0.8791, + "step": 8618 + }, + { + "epoch": 0.73, + "learning_rate": 3.6012582420277463e-06, + "loss": 0.8965, + "step": 8619 + }, + { + "epoch": 0.73, + "learning_rate": 3.5991490465442413e-06, + "loss": 0.8862, + "step": 8620 + }, + { + "epoch": 0.73, + "learning_rate": 3.5970403333480786e-06, + "loss": 0.8424, + "step": 8621 + }, + { + "epoch": 0.73, + "learning_rate": 3.594932102598142e-06, + "loss": 0.8459, + "step": 8622 + }, + { + "epoch": 0.73, + "learning_rate": 3.5928243544532835e-06, + "loss": 0.8507, + "step": 8623 + }, + { + "epoch": 0.73, + "learning_rate": 3.5907170890723165e-06, + "loss": 0.8757, + "step": 8624 + }, + { + "epoch": 0.73, + "learning_rate": 3.5886103066140156e-06, + "loss": 0.8884, + "step": 8625 + }, + { + "epoch": 0.73, + "learning_rate": 3.5865040072371228e-06, + "loss": 0.8323, + "step": 8626 + }, + { + "epoch": 0.73, + "learning_rate": 3.584398191100341e-06, + "loss": 0.8723, + "step": 8627 + }, + { + "epoch": 0.73, + "learning_rate": 3.5822928583623405e-06, + "loss": 0.908, + "step": 8628 + }, + { + "epoch": 0.73, + "learning_rate": 3.580188009181751e-06, + "loss": 0.871, + "step": 8629 + }, + { + "epoch": 0.73, + "learning_rate": 3.5780836437171673e-06, + "loss": 0.8414, + "step": 8630 + }, + { + "epoch": 0.73, + "learning_rate": 3.5759797621271475e-06, + "loss": 0.8562, + "step": 8631 + }, + { + "epoch": 0.73, + "learning_rate": 3.5738763645702145e-06, + "loss": 0.884, + "step": 8632 + }, + { + "epoch": 0.73, + "learning_rate": 3.571773451204853e-06, + "loss": 0.838, + "step": 8633 + }, + { + "epoch": 0.73, + "learning_rate": 3.569671022189516e-06, + "loss": 0.893, + "step": 8634 + }, + { + "epoch": 0.73, + "learning_rate": 3.5675690776826055e-06, + "loss": 0.8408, + "step": 8635 + }, + { + "epoch": 0.73, + "learning_rate": 3.565467617842511e-06, + "loss": 0.8729, + "step": 8636 + }, + { + "epoch": 0.73, + "learning_rate": 3.5633666428275583e-06, + "loss": 0.864, + "step": 8637 + }, + { + "epoch": 0.73, + "learning_rate": 3.5612661527960646e-06, + "loss": 0.5163, + "step": 8638 + }, + { + "epoch": 0.73, + "learning_rate": 3.5591661479062823e-06, + "loss": 0.9005, + "step": 8639 + }, + { + "epoch": 0.73, + "learning_rate": 3.5570666283164548e-06, + "loss": 0.9185, + "step": 8640 + }, + { + "epoch": 0.73, + "learning_rate": 3.554967594184762e-06, + "loss": 0.8716, + "step": 8641 + }, + { + "epoch": 0.73, + "learning_rate": 3.5528690456693747e-06, + "loss": 0.8571, + "step": 8642 + }, + { + "epoch": 0.73, + "learning_rate": 3.5507709829283976e-06, + "loss": 0.9033, + "step": 8643 + }, + { + "epoch": 0.73, + "learning_rate": 3.5486734061199266e-06, + "loss": 0.8485, + "step": 8644 + }, + { + "epoch": 0.73, + "learning_rate": 3.546576315402007e-06, + "loss": 0.4693, + "step": 8645 + }, + { + "epoch": 0.73, + "learning_rate": 3.54447971093264e-06, + "loss": 0.8266, + "step": 8646 + }, + { + "epoch": 0.73, + "learning_rate": 3.5423835928698126e-06, + "loss": 0.854, + "step": 8647 + }, + { + "epoch": 0.73, + "learning_rate": 3.540287961371448e-06, + "loss": 0.8906, + "step": 8648 + }, + { + "epoch": 0.73, + "learning_rate": 3.5381928165954604e-06, + "loss": 0.8873, + "step": 8649 + }, + { + "epoch": 0.73, + "learning_rate": 3.536098158699699e-06, + "loss": 0.8716, + "step": 8650 + }, + { + "epoch": 0.73, + "learning_rate": 3.534003987842005e-06, + "loss": 0.8611, + "step": 8651 + }, + { + "epoch": 0.73, + "learning_rate": 3.531910304180156e-06, + "loss": 0.4711, + "step": 8652 + }, + { + "epoch": 0.73, + "learning_rate": 3.529817107871918e-06, + "loss": 0.8454, + "step": 8653 + }, + { + "epoch": 0.73, + "learning_rate": 3.5277243990749944e-06, + "loss": 0.8022, + "step": 8654 + }, + { + "epoch": 0.73, + "learning_rate": 3.525632177947078e-06, + "loss": 0.8348, + "step": 8655 + }, + { + "epoch": 0.73, + "learning_rate": 3.523540444645804e-06, + "loss": 0.8644, + "step": 8656 + }, + { + "epoch": 0.73, + "learning_rate": 3.5214491993287815e-06, + "loss": 0.8372, + "step": 8657 + }, + { + "epoch": 0.73, + "learning_rate": 3.5193584421535797e-06, + "loss": 0.8534, + "step": 8658 + }, + { + "epoch": 0.73, + "learning_rate": 3.5172681732777335e-06, + "loss": 0.4916, + "step": 8659 + }, + { + "epoch": 0.73, + "learning_rate": 3.515178392858737e-06, + "loss": 0.8555, + "step": 8660 + }, + { + "epoch": 0.73, + "learning_rate": 3.5130891010540513e-06, + "loss": 0.9025, + "step": 8661 + }, + { + "epoch": 0.73, + "learning_rate": 3.511000298021098e-06, + "loss": 0.8354, + "step": 8662 + }, + { + "epoch": 0.73, + "learning_rate": 3.5089119839172625e-06, + "loss": 0.8653, + "step": 8663 + }, + { + "epoch": 0.73, + "learning_rate": 3.5068241588998965e-06, + "loss": 0.8351, + "step": 8664 + }, + { + "epoch": 0.73, + "learning_rate": 3.504736823126309e-06, + "loss": 0.8701, + "step": 8665 + }, + { + "epoch": 0.73, + "learning_rate": 3.502649976753777e-06, + "loss": 0.8339, + "step": 8666 + }, + { + "epoch": 0.73, + "learning_rate": 3.5005636199395377e-06, + "loss": 0.8434, + "step": 8667 + }, + { + "epoch": 0.73, + "learning_rate": 3.4984777528407944e-06, + "loss": 0.8338, + "step": 8668 + }, + { + "epoch": 0.73, + "learning_rate": 3.49639237561471e-06, + "loss": 0.8881, + "step": 8669 + }, + { + "epoch": 0.73, + "learning_rate": 3.4943074884184125e-06, + "loss": 0.9, + "step": 8670 + }, + { + "epoch": 0.73, + "learning_rate": 3.492223091408994e-06, + "loss": 0.8533, + "step": 8671 + }, + { + "epoch": 0.73, + "learning_rate": 3.4901391847435074e-06, + "loss": 0.8771, + "step": 8672 + }, + { + "epoch": 0.74, + "learning_rate": 3.4880557685789696e-06, + "loss": 0.8843, + "step": 8673 + }, + { + "epoch": 0.74, + "learning_rate": 3.4859728430723595e-06, + "loss": 0.8347, + "step": 8674 + }, + { + "epoch": 0.74, + "learning_rate": 3.4838904083806225e-06, + "loss": 0.9064, + "step": 8675 + }, + { + "epoch": 0.74, + "learning_rate": 3.4818084646606663e-06, + "loss": 0.872, + "step": 8676 + }, + { + "epoch": 0.74, + "learning_rate": 3.479727012069349e-06, + "loss": 0.8709, + "step": 8677 + }, + { + "epoch": 0.74, + "learning_rate": 3.477646050763519e-06, + "loss": 0.8848, + "step": 8678 + }, + { + "epoch": 0.74, + "learning_rate": 3.4755655808999555e-06, + "loss": 0.8561, + "step": 8679 + }, + { + "epoch": 0.74, + "learning_rate": 3.47348560263543e-06, + "loss": 0.8262, + "step": 8680 + }, + { + "epoch": 0.74, + "learning_rate": 3.4714061161266497e-06, + "loss": 0.8736, + "step": 8681 + }, + { + "epoch": 0.74, + "learning_rate": 3.4693271215303138e-06, + "loss": 0.8793, + "step": 8682 + }, + { + "epoch": 0.74, + "learning_rate": 3.4672486190030543e-06, + "loss": 0.8344, + "step": 8683 + }, + { + "epoch": 0.74, + "learning_rate": 3.4651706087014936e-06, + "loss": 0.9119, + "step": 8684 + }, + { + "epoch": 0.74, + "learning_rate": 3.4630930907821926e-06, + "loss": 0.8413, + "step": 8685 + }, + { + "epoch": 0.74, + "learning_rate": 3.4610160654016987e-06, + "loss": 0.8979, + "step": 8686 + }, + { + "epoch": 0.74, + "learning_rate": 3.458939532716502e-06, + "loss": 0.8349, + "step": 8687 + }, + { + "epoch": 0.74, + "learning_rate": 3.4568634928830624e-06, + "loss": 0.884, + "step": 8688 + }, + { + "epoch": 0.74, + "learning_rate": 3.454787946057814e-06, + "loss": 0.8354, + "step": 8689 + }, + { + "epoch": 0.74, + "learning_rate": 3.452712892397132e-06, + "loss": 0.8515, + "step": 8690 + }, + { + "epoch": 0.74, + "learning_rate": 3.4506383320573778e-06, + "loss": 0.8881, + "step": 8691 + }, + { + "epoch": 0.74, + "learning_rate": 3.4485642651948516e-06, + "loss": 0.8968, + "step": 8692 + }, + { + "epoch": 0.74, + "learning_rate": 3.4464906919658413e-06, + "loss": 0.8572, + "step": 8693 + }, + { + "epoch": 0.74, + "learning_rate": 3.4444176125265736e-06, + "loss": 0.863, + "step": 8694 + }, + { + "epoch": 0.74, + "learning_rate": 3.4423450270332626e-06, + "loss": 0.8852, + "step": 8695 + }, + { + "epoch": 0.74, + "learning_rate": 3.4402729356420574e-06, + "loss": 0.8469, + "step": 8696 + }, + { + "epoch": 0.74, + "learning_rate": 3.4382013385090985e-06, + "loss": 0.8655, + "step": 8697 + }, + { + "epoch": 0.74, + "learning_rate": 3.4361302357904657e-06, + "loss": 0.8613, + "step": 8698 + }, + { + "epoch": 0.74, + "learning_rate": 3.4340596276422154e-06, + "loss": 0.8668, + "step": 8699 + }, + { + "epoch": 0.74, + "learning_rate": 3.4319895142203618e-06, + "loss": 0.8142, + "step": 8700 + }, + { + "epoch": 0.74, + "learning_rate": 3.429919895680881e-06, + "loss": 0.8889, + "step": 8701 + }, + { + "epoch": 0.74, + "learning_rate": 3.427850772179715e-06, + "loss": 0.859, + "step": 8702 + }, + { + "epoch": 0.74, + "learning_rate": 3.4257821438727667e-06, + "loss": 0.8255, + "step": 8703 + }, + { + "epoch": 0.74, + "learning_rate": 3.4237140109159015e-06, + "loss": 0.8583, + "step": 8704 + }, + { + "epoch": 0.74, + "learning_rate": 3.4216463734649486e-06, + "loss": 0.8433, + "step": 8705 + }, + { + "epoch": 0.74, + "learning_rate": 3.419579231675698e-06, + "loss": 0.8512, + "step": 8706 + }, + { + "epoch": 0.74, + "learning_rate": 3.4175125857039027e-06, + "loss": 0.8247, + "step": 8707 + }, + { + "epoch": 0.74, + "learning_rate": 3.415446435705282e-06, + "loss": 0.5402, + "step": 8708 + }, + { + "epoch": 0.74, + "learning_rate": 3.4133807818355115e-06, + "loss": 0.8751, + "step": 8709 + }, + { + "epoch": 0.74, + "learning_rate": 3.4113156242502345e-06, + "loss": 0.8554, + "step": 8710 + }, + { + "epoch": 0.74, + "learning_rate": 3.409250963105055e-06, + "loss": 0.8456, + "step": 8711 + }, + { + "epoch": 0.74, + "learning_rate": 3.407186798555541e-06, + "loss": 0.8887, + "step": 8712 + }, + { + "epoch": 0.74, + "learning_rate": 3.4051231307572187e-06, + "loss": 0.8694, + "step": 8713 + }, + { + "epoch": 0.74, + "learning_rate": 3.403059959865583e-06, + "loss": 0.81, + "step": 8714 + }, + { + "epoch": 0.74, + "learning_rate": 3.4009972860360872e-06, + "loss": 0.9032, + "step": 8715 + }, + { + "epoch": 0.74, + "learning_rate": 3.3989351094241496e-06, + "loss": 0.8446, + "step": 8716 + }, + { + "epoch": 0.74, + "learning_rate": 3.396873430185148e-06, + "loss": 0.8404, + "step": 8717 + }, + { + "epoch": 0.74, + "learning_rate": 3.3948122484744296e-06, + "loss": 0.8481, + "step": 8718 + }, + { + "epoch": 0.74, + "learning_rate": 3.3927515644472876e-06, + "loss": 0.8319, + "step": 8719 + }, + { + "epoch": 0.74, + "learning_rate": 3.390691378259002e-06, + "loss": 0.8381, + "step": 8720 + }, + { + "epoch": 0.74, + "learning_rate": 3.388631690064792e-06, + "loss": 0.8464, + "step": 8721 + }, + { + "epoch": 0.74, + "learning_rate": 3.38657250001986e-06, + "loss": 0.8554, + "step": 8722 + }, + { + "epoch": 0.74, + "learning_rate": 3.384513808279348e-06, + "loss": 0.8874, + "step": 8723 + }, + { + "epoch": 0.74, + "learning_rate": 3.382455614998388e-06, + "loss": 0.9131, + "step": 8724 + }, + { + "epoch": 0.74, + "learning_rate": 3.380397920332045e-06, + "loss": 0.9237, + "step": 8725 + }, + { + "epoch": 0.74, + "learning_rate": 3.3783407244353726e-06, + "loss": 0.5515, + "step": 8726 + }, + { + "epoch": 0.74, + "learning_rate": 3.3762840274633647e-06, + "loss": 0.9091, + "step": 8727 + }, + { + "epoch": 0.74, + "learning_rate": 3.3742278295709996e-06, + "loss": 0.8179, + "step": 8728 + }, + { + "epoch": 0.74, + "learning_rate": 3.372172130913196e-06, + "loss": 0.8446, + "step": 8729 + }, + { + "epoch": 0.74, + "learning_rate": 3.3701169316448502e-06, + "loss": 0.8734, + "step": 8730 + }, + { + "epoch": 0.74, + "learning_rate": 3.3680622319208158e-06, + "loss": 0.8991, + "step": 8731 + }, + { + "epoch": 0.74, + "learning_rate": 3.3660080318959043e-06, + "loss": 0.8779, + "step": 8732 + }, + { + "epoch": 0.74, + "learning_rate": 3.3639543317249056e-06, + "loss": 0.8477, + "step": 8733 + }, + { + "epoch": 0.74, + "learning_rate": 3.361901131562547e-06, + "loss": 0.8668, + "step": 8734 + }, + { + "epoch": 0.74, + "learning_rate": 3.359848431563546e-06, + "loss": 0.8085, + "step": 8735 + }, + { + "epoch": 0.74, + "learning_rate": 3.357796231882553e-06, + "loss": 0.8382, + "step": 8736 + }, + { + "epoch": 0.74, + "learning_rate": 3.355744532674211e-06, + "loss": 0.8906, + "step": 8737 + }, + { + "epoch": 0.74, + "learning_rate": 3.3536933340930956e-06, + "loss": 0.8476, + "step": 8738 + }, + { + "epoch": 0.74, + "learning_rate": 3.3516426362937717e-06, + "loss": 0.864, + "step": 8739 + }, + { + "epoch": 0.74, + "learning_rate": 3.3495924394307466e-06, + "loss": 0.8641, + "step": 8740 + }, + { + "epoch": 0.74, + "learning_rate": 3.3475427436584985e-06, + "loss": 0.8005, + "step": 8741 + }, + { + "epoch": 0.74, + "learning_rate": 3.3454935491314678e-06, + "loss": 0.8687, + "step": 8742 + }, + { + "epoch": 0.74, + "learning_rate": 3.3434448560040544e-06, + "loss": 0.8364, + "step": 8743 + }, + { + "epoch": 0.74, + "learning_rate": 3.341396664430624e-06, + "loss": 0.8669, + "step": 8744 + }, + { + "epoch": 0.74, + "learning_rate": 3.3393489745655016e-06, + "loss": 0.856, + "step": 8745 + }, + { + "epoch": 0.74, + "learning_rate": 3.3373017865629742e-06, + "loss": 0.8866, + "step": 8746 + }, + { + "epoch": 0.74, + "learning_rate": 3.335255100577294e-06, + "loss": 0.9019, + "step": 8747 + }, + { + "epoch": 0.74, + "learning_rate": 3.3332089167626713e-06, + "loss": 0.8803, + "step": 8748 + }, + { + "epoch": 0.74, + "learning_rate": 3.3311632352732826e-06, + "loss": 0.8442, + "step": 8749 + }, + { + "epoch": 0.74, + "learning_rate": 3.329118056263264e-06, + "loss": 0.8548, + "step": 8750 + }, + { + "epoch": 0.74, + "learning_rate": 3.327073379886714e-06, + "loss": 0.898, + "step": 8751 + }, + { + "epoch": 0.74, + "learning_rate": 3.325029206297694e-06, + "loss": 0.8789, + "step": 8752 + }, + { + "epoch": 0.74, + "learning_rate": 3.322985535650226e-06, + "loss": 0.8988, + "step": 8753 + }, + { + "epoch": 0.74, + "learning_rate": 3.3209423680982967e-06, + "loss": 0.5166, + "step": 8754 + }, + { + "epoch": 0.74, + "learning_rate": 3.3188997037958535e-06, + "loss": 0.928, + "step": 8755 + }, + { + "epoch": 0.74, + "learning_rate": 3.316857542896804e-06, + "loss": 0.9251, + "step": 8756 + }, + { + "epoch": 0.74, + "learning_rate": 3.3148158855550217e-06, + "loss": 0.8913, + "step": 8757 + }, + { + "epoch": 0.74, + "learning_rate": 3.3127747319243385e-06, + "loss": 0.8143, + "step": 8758 + }, + { + "epoch": 0.74, + "learning_rate": 3.310734082158552e-06, + "loss": 0.8726, + "step": 8759 + }, + { + "epoch": 0.74, + "learning_rate": 3.308693936411421e-06, + "loss": 0.8526, + "step": 8760 + }, + { + "epoch": 0.74, + "learning_rate": 3.3066542948366564e-06, + "loss": 0.8734, + "step": 8761 + }, + { + "epoch": 0.74, + "learning_rate": 3.3046151575879526e-06, + "loss": 0.8518, + "step": 8762 + }, + { + "epoch": 0.74, + "learning_rate": 3.30257652481894e-06, + "loss": 0.8599, + "step": 8763 + }, + { + "epoch": 0.74, + "learning_rate": 3.3005383966832383e-06, + "loss": 0.8789, + "step": 8764 + }, + { + "epoch": 0.74, + "learning_rate": 3.2985007733343997e-06, + "loss": 0.8556, + "step": 8765 + }, + { + "epoch": 0.74, + "learning_rate": 3.29646365492597e-06, + "loss": 0.8643, + "step": 8766 + }, + { + "epoch": 0.74, + "learning_rate": 3.2944270416114256e-06, + "loss": 0.8403, + "step": 8767 + }, + { + "epoch": 0.74, + "learning_rate": 3.292390933544234e-06, + "loss": 0.851, + "step": 8768 + }, + { + "epoch": 0.74, + "learning_rate": 3.290355330877797e-06, + "loss": 0.8752, + "step": 8769 + }, + { + "epoch": 0.74, + "learning_rate": 3.288320233765504e-06, + "loss": 0.8634, + "step": 8770 + }, + { + "epoch": 0.74, + "learning_rate": 3.286285642360687e-06, + "loss": 0.8443, + "step": 8771 + }, + { + "epoch": 0.74, + "learning_rate": 3.284251556816648e-06, + "loss": 0.8358, + "step": 8772 + }, + { + "epoch": 0.74, + "learning_rate": 3.282217977286651e-06, + "loss": 0.8505, + "step": 8773 + }, + { + "epoch": 0.74, + "learning_rate": 3.280184903923921e-06, + "loss": 0.8547, + "step": 8774 + }, + { + "epoch": 0.74, + "learning_rate": 3.278152336881645e-06, + "loss": 0.8831, + "step": 8775 + }, + { + "epoch": 0.74, + "learning_rate": 3.2761202763129674e-06, + "loss": 0.828, + "step": 8776 + }, + { + "epoch": 0.74, + "learning_rate": 3.2740887223710094e-06, + "loss": 0.8505, + "step": 8777 + }, + { + "epoch": 0.74, + "learning_rate": 3.2720576752088295e-06, + "loss": 0.8998, + "step": 8778 + }, + { + "epoch": 0.74, + "learning_rate": 3.270027134979474e-06, + "loss": 0.8936, + "step": 8779 + }, + { + "epoch": 0.74, + "learning_rate": 3.267997101835928e-06, + "loss": 0.9038, + "step": 8780 + }, + { + "epoch": 0.74, + "learning_rate": 3.2659675759311615e-06, + "loss": 0.8477, + "step": 8781 + }, + { + "epoch": 0.74, + "learning_rate": 3.2639385574180825e-06, + "loss": 0.837, + "step": 8782 + }, + { + "epoch": 0.74, + "learning_rate": 3.261910046449578e-06, + "loss": 0.8539, + "step": 8783 + }, + { + "epoch": 0.74, + "learning_rate": 3.259882043178488e-06, + "loss": 0.8493, + "step": 8784 + }, + { + "epoch": 0.74, + "learning_rate": 3.2578545477576195e-06, + "loss": 0.8508, + "step": 8785 + }, + { + "epoch": 0.74, + "learning_rate": 3.2558275603397392e-06, + "loss": 0.8638, + "step": 8786 + }, + { + "epoch": 0.74, + "learning_rate": 3.2538010810775743e-06, + "loss": 0.8726, + "step": 8787 + }, + { + "epoch": 0.74, + "learning_rate": 3.251775110123814e-06, + "loss": 0.8273, + "step": 8788 + }, + { + "epoch": 0.74, + "learning_rate": 3.2497496476311117e-06, + "loss": 0.8468, + "step": 8789 + }, + { + "epoch": 0.74, + "learning_rate": 3.247724693752079e-06, + "loss": 0.9164, + "step": 8790 + }, + { + "epoch": 0.75, + "learning_rate": 3.245700248639292e-06, + "loss": 0.8488, + "step": 8791 + }, + { + "epoch": 0.75, + "learning_rate": 3.2436763124452865e-06, + "loss": 0.8612, + "step": 8792 + }, + { + "epoch": 0.75, + "learning_rate": 3.2416528853225615e-06, + "loss": 0.8042, + "step": 8793 + }, + { + "epoch": 0.75, + "learning_rate": 3.2396299674235777e-06, + "loss": 0.8603, + "step": 8794 + }, + { + "epoch": 0.75, + "learning_rate": 3.237607558900755e-06, + "loss": 0.8973, + "step": 8795 + }, + { + "epoch": 0.75, + "learning_rate": 3.235585659906476e-06, + "loss": 0.8551, + "step": 8796 + }, + { + "epoch": 0.75, + "learning_rate": 3.2335642705930883e-06, + "loss": 0.8549, + "step": 8797 + }, + { + "epoch": 0.75, + "learning_rate": 3.231543391112896e-06, + "loss": 0.8737, + "step": 8798 + }, + { + "epoch": 0.75, + "learning_rate": 3.2295230216181673e-06, + "loss": 0.8403, + "step": 8799 + }, + { + "epoch": 0.75, + "learning_rate": 3.227503162261133e-06, + "loss": 0.8412, + "step": 8800 + }, + { + "epoch": 0.75, + "learning_rate": 3.2254838131939836e-06, + "loss": 0.8696, + "step": 8801 + }, + { + "epoch": 0.75, + "learning_rate": 3.223464974568874e-06, + "loss": 0.8936, + "step": 8802 + }, + { + "epoch": 0.75, + "learning_rate": 3.22144664653791e-06, + "loss": 0.8429, + "step": 8803 + }, + { + "epoch": 0.75, + "learning_rate": 3.2194288292531793e-06, + "loss": 0.8643, + "step": 8804 + }, + { + "epoch": 0.75, + "learning_rate": 3.217411522866707e-06, + "loss": 0.8381, + "step": 8805 + }, + { + "epoch": 0.75, + "learning_rate": 3.215394727530504e-06, + "loss": 0.8397, + "step": 8806 + }, + { + "epoch": 0.75, + "learning_rate": 3.213378443396519e-06, + "loss": 0.8656, + "step": 8807 + }, + { + "epoch": 0.75, + "learning_rate": 3.2113626706166855e-06, + "loss": 0.8274, + "step": 8808 + }, + { + "epoch": 0.75, + "learning_rate": 3.2093474093428733e-06, + "loss": 0.8774, + "step": 8809 + }, + { + "epoch": 0.75, + "learning_rate": 3.2073326597269416e-06, + "loss": 0.8661, + "step": 8810 + }, + { + "epoch": 0.75, + "learning_rate": 3.2053184219206823e-06, + "loss": 0.874, + "step": 8811 + }, + { + "epoch": 0.75, + "learning_rate": 3.2033046960758763e-06, + "loss": 0.4773, + "step": 8812 + }, + { + "epoch": 0.75, + "learning_rate": 3.201291482344242e-06, + "loss": 0.8595, + "step": 8813 + }, + { + "epoch": 0.75, + "learning_rate": 3.199278780877475e-06, + "loss": 0.886, + "step": 8814 + }, + { + "epoch": 0.75, + "learning_rate": 3.197266591827225e-06, + "loss": 0.8642, + "step": 8815 + }, + { + "epoch": 0.75, + "learning_rate": 3.1952549153451064e-06, + "loss": 0.9076, + "step": 8816 + }, + { + "epoch": 0.75, + "learning_rate": 3.193243751582693e-06, + "loss": 0.8663, + "step": 8817 + }, + { + "epoch": 0.75, + "learning_rate": 3.191233100691521e-06, + "loss": 0.8722, + "step": 8818 + }, + { + "epoch": 0.75, + "learning_rate": 3.1892229628230886e-06, + "loss": 0.8401, + "step": 8819 + }, + { + "epoch": 0.75, + "learning_rate": 3.1872133381288494e-06, + "loss": 0.9037, + "step": 8820 + }, + { + "epoch": 0.75, + "learning_rate": 3.1852042267602344e-06, + "loss": 0.7679, + "step": 8821 + }, + { + "epoch": 0.75, + "learning_rate": 3.1831956288686116e-06, + "loss": 0.8856, + "step": 8822 + }, + { + "epoch": 0.75, + "learning_rate": 3.1811875446053374e-06, + "loss": 0.8361, + "step": 8823 + }, + { + "epoch": 0.75, + "learning_rate": 3.1791799741217046e-06, + "loss": 0.9221, + "step": 8824 + }, + { + "epoch": 0.75, + "learning_rate": 3.1771729175689814e-06, + "loss": 0.8056, + "step": 8825 + }, + { + "epoch": 0.75, + "learning_rate": 3.1751663750983954e-06, + "loss": 0.8189, + "step": 8826 + }, + { + "epoch": 0.75, + "learning_rate": 3.173160346861134e-06, + "loss": 0.8974, + "step": 8827 + }, + { + "epoch": 0.75, + "learning_rate": 3.171154833008345e-06, + "loss": 0.8575, + "step": 8828 + }, + { + "epoch": 0.75, + "learning_rate": 3.169149833691141e-06, + "loss": 0.8279, + "step": 8829 + }, + { + "epoch": 0.75, + "learning_rate": 3.1671453490605906e-06, + "loss": 0.8352, + "step": 8830 + }, + { + "epoch": 0.75, + "learning_rate": 3.1651413792677287e-06, + "loss": 0.8873, + "step": 8831 + }, + { + "epoch": 0.75, + "learning_rate": 3.1631379244635487e-06, + "loss": 0.9068, + "step": 8832 + }, + { + "epoch": 0.75, + "learning_rate": 3.1611349847990083e-06, + "loss": 0.8953, + "step": 8833 + }, + { + "epoch": 0.75, + "learning_rate": 3.1591325604250144e-06, + "loss": 0.8406, + "step": 8834 + }, + { + "epoch": 0.75, + "learning_rate": 3.1571306514924537e-06, + "loss": 0.8438, + "step": 8835 + }, + { + "epoch": 0.75, + "learning_rate": 3.1551292581521632e-06, + "loss": 0.8225, + "step": 8836 + }, + { + "epoch": 0.75, + "learning_rate": 3.153128380554941e-06, + "loss": 0.855, + "step": 8837 + }, + { + "epoch": 0.75, + "learning_rate": 3.1511280188515468e-06, + "loss": 0.8929, + "step": 8838 + }, + { + "epoch": 0.75, + "learning_rate": 3.149128173192706e-06, + "loss": 0.9052, + "step": 8839 + }, + { + "epoch": 0.75, + "learning_rate": 3.1471288437290993e-06, + "loss": 0.8633, + "step": 8840 + }, + { + "epoch": 0.75, + "learning_rate": 3.1451300306113706e-06, + "loss": 0.8652, + "step": 8841 + }, + { + "epoch": 0.75, + "learning_rate": 3.1431317339901267e-06, + "loss": 0.8583, + "step": 8842 + }, + { + "epoch": 0.75, + "learning_rate": 3.141133954015935e-06, + "loss": 0.8717, + "step": 8843 + }, + { + "epoch": 0.75, + "learning_rate": 3.139136690839323e-06, + "loss": 0.8519, + "step": 8844 + }, + { + "epoch": 0.75, + "learning_rate": 3.137139944610772e-06, + "loss": 0.8674, + "step": 8845 + }, + { + "epoch": 0.75, + "learning_rate": 3.135143715480743e-06, + "loss": 0.8993, + "step": 8846 + }, + { + "epoch": 0.75, + "learning_rate": 3.1331480035996352e-06, + "loss": 0.8586, + "step": 8847 + }, + { + "epoch": 0.75, + "learning_rate": 3.1311528091178324e-06, + "loss": 0.8486, + "step": 8848 + }, + { + "epoch": 0.75, + "learning_rate": 3.1291581321856533e-06, + "loss": 0.8896, + "step": 8849 + }, + { + "epoch": 0.75, + "learning_rate": 3.1271639729534076e-06, + "loss": 0.866, + "step": 8850 + }, + { + "epoch": 0.75, + "learning_rate": 3.1251703315713333e-06, + "loss": 0.8415, + "step": 8851 + }, + { + "epoch": 0.75, + "learning_rate": 3.1231772081896616e-06, + "loss": 0.8944, + "step": 8852 + }, + { + "epoch": 0.75, + "learning_rate": 3.1211846029585555e-06, + "loss": 0.8666, + "step": 8853 + }, + { + "epoch": 0.75, + "learning_rate": 3.1191925160281644e-06, + "loss": 0.883, + "step": 8854 + }, + { + "epoch": 0.75, + "learning_rate": 3.117200947548579e-06, + "loss": 0.8718, + "step": 8855 + }, + { + "epoch": 0.75, + "learning_rate": 3.115209897669861e-06, + "loss": 0.848, + "step": 8856 + }, + { + "epoch": 0.75, + "learning_rate": 3.1132193665420306e-06, + "loss": 0.8483, + "step": 8857 + }, + { + "epoch": 0.75, + "learning_rate": 3.1112293543150695e-06, + "loss": 0.8763, + "step": 8858 + }, + { + "epoch": 0.75, + "learning_rate": 3.1092398611389196e-06, + "loss": 0.8759, + "step": 8859 + }, + { + "epoch": 0.75, + "learning_rate": 3.1072508871634843e-06, + "loss": 0.8865, + "step": 8860 + }, + { + "epoch": 0.75, + "learning_rate": 3.1052624325386272e-06, + "loss": 0.8784, + "step": 8861 + }, + { + "epoch": 0.75, + "learning_rate": 3.103274497414174e-06, + "loss": 0.8537, + "step": 8862 + }, + { + "epoch": 0.75, + "learning_rate": 3.1012870819399087e-06, + "loss": 0.8681, + "step": 8863 + }, + { + "epoch": 0.75, + "learning_rate": 3.0993001862655768e-06, + "loss": 0.846, + "step": 8864 + }, + { + "epoch": 0.75, + "learning_rate": 3.097313810540894e-06, + "loss": 0.9334, + "step": 8865 + }, + { + "epoch": 0.75, + "learning_rate": 3.095327954915519e-06, + "loss": 0.8381, + "step": 8866 + }, + { + "epoch": 0.75, + "learning_rate": 3.0933426195390838e-06, + "loss": 0.8758, + "step": 8867 + }, + { + "epoch": 0.75, + "learning_rate": 3.091357804561178e-06, + "loss": 0.8966, + "step": 8868 + }, + { + "epoch": 0.75, + "learning_rate": 3.089373510131354e-06, + "loss": 0.8589, + "step": 8869 + }, + { + "epoch": 0.75, + "learning_rate": 3.0873897363991214e-06, + "loss": 0.8787, + "step": 8870 + }, + { + "epoch": 0.75, + "learning_rate": 3.085406483513953e-06, + "loss": 0.848, + "step": 8871 + }, + { + "epoch": 0.75, + "learning_rate": 3.0834237516252817e-06, + "loss": 0.8938, + "step": 8872 + }, + { + "epoch": 0.75, + "learning_rate": 3.0814415408825005e-06, + "loss": 0.9239, + "step": 8873 + }, + { + "epoch": 0.75, + "learning_rate": 3.079459851434965e-06, + "loss": 0.8225, + "step": 8874 + }, + { + "epoch": 0.75, + "learning_rate": 3.0774786834319923e-06, + "loss": 0.8336, + "step": 8875 + }, + { + "epoch": 0.75, + "learning_rate": 3.0754980370228504e-06, + "loss": 0.8394, + "step": 8876 + }, + { + "epoch": 0.75, + "learning_rate": 3.073517912356786e-06, + "loss": 0.8473, + "step": 8877 + }, + { + "epoch": 0.75, + "learning_rate": 3.0715383095829853e-06, + "loss": 0.8187, + "step": 8878 + }, + { + "epoch": 0.75, + "learning_rate": 3.0695592288506148e-06, + "loss": 0.8705, + "step": 8879 + }, + { + "epoch": 0.75, + "learning_rate": 3.067580670308792e-06, + "loss": 0.905, + "step": 8880 + }, + { + "epoch": 0.75, + "learning_rate": 3.0656026341065927e-06, + "loss": 0.8924, + "step": 8881 + }, + { + "epoch": 0.75, + "learning_rate": 3.063625120393059e-06, + "loss": 0.9247, + "step": 8882 + }, + { + "epoch": 0.75, + "learning_rate": 3.061648129317192e-06, + "loss": 0.8085, + "step": 8883 + }, + { + "epoch": 0.75, + "learning_rate": 3.059671661027951e-06, + "loss": 0.9063, + "step": 8884 + }, + { + "epoch": 0.75, + "learning_rate": 3.0576957156742583e-06, + "loss": 0.8542, + "step": 8885 + }, + { + "epoch": 0.75, + "learning_rate": 3.055720293404999e-06, + "loss": 0.4711, + "step": 8886 + }, + { + "epoch": 0.75, + "learning_rate": 3.0537453943690076e-06, + "loss": 0.5173, + "step": 8887 + }, + { + "epoch": 0.75, + "learning_rate": 3.0517710187150994e-06, + "loss": 0.8524, + "step": 8888 + }, + { + "epoch": 0.75, + "learning_rate": 3.0497971665920257e-06, + "loss": 0.8397, + "step": 8889 + }, + { + "epoch": 0.75, + "learning_rate": 3.047823838148525e-06, + "loss": 0.8469, + "step": 8890 + }, + { + "epoch": 0.75, + "learning_rate": 3.045851033533268e-06, + "loss": 0.8428, + "step": 8891 + }, + { + "epoch": 0.75, + "learning_rate": 3.0438787528949142e-06, + "loss": 0.7733, + "step": 8892 + }, + { + "epoch": 0.75, + "learning_rate": 3.041906996382056e-06, + "loss": 0.823, + "step": 8893 + }, + { + "epoch": 0.75, + "learning_rate": 3.0399357641432735e-06, + "loss": 0.8295, + "step": 8894 + }, + { + "epoch": 0.75, + "learning_rate": 3.0379650563270825e-06, + "loss": 0.8579, + "step": 8895 + }, + { + "epoch": 0.75, + "learning_rate": 3.035994873081981e-06, + "loss": 0.8361, + "step": 8896 + }, + { + "epoch": 0.75, + "learning_rate": 3.0340252145564086e-06, + "loss": 0.8632, + "step": 8897 + }, + { + "epoch": 0.75, + "learning_rate": 3.0320560808987774e-06, + "loss": 0.8785, + "step": 8898 + }, + { + "epoch": 0.75, + "learning_rate": 3.030087472257456e-06, + "loss": 0.8852, + "step": 8899 + }, + { + "epoch": 0.75, + "learning_rate": 3.0281193887807737e-06, + "loss": 0.8433, + "step": 8900 + }, + { + "epoch": 0.75, + "learning_rate": 3.026151830617021e-06, + "loss": 0.8625, + "step": 8901 + }, + { + "epoch": 0.75, + "learning_rate": 3.024184797914449e-06, + "loss": 0.816, + "step": 8902 + }, + { + "epoch": 0.75, + "learning_rate": 3.022218290821267e-06, + "loss": 0.8898, + "step": 8903 + }, + { + "epoch": 0.75, + "learning_rate": 3.020252309485646e-06, + "loss": 0.8785, + "step": 8904 + }, + { + "epoch": 0.75, + "learning_rate": 3.01828685405572e-06, + "loss": 0.8817, + "step": 8905 + }, + { + "epoch": 0.75, + "learning_rate": 3.0163219246795772e-06, + "loss": 0.8436, + "step": 8906 + }, + { + "epoch": 0.75, + "learning_rate": 3.0143575215052732e-06, + "loss": 0.8201, + "step": 8907 + }, + { + "epoch": 0.75, + "learning_rate": 3.012393644680819e-06, + "loss": 0.8595, + "step": 8908 + }, + { + "epoch": 0.76, + "learning_rate": 3.0104302943541872e-06, + "loss": 0.8761, + "step": 8909 + }, + { + "epoch": 0.76, + "learning_rate": 3.008467470673312e-06, + "loss": 0.8225, + "step": 8910 + }, + { + "epoch": 0.76, + "learning_rate": 3.0065051737860863e-06, + "loss": 0.901, + "step": 8911 + }, + { + "epoch": 0.76, + "learning_rate": 3.0045434038403653e-06, + "loss": 0.8998, + "step": 8912 + }, + { + "epoch": 0.76, + "learning_rate": 3.002582160983962e-06, + "loss": 0.82, + "step": 8913 + }, + { + "epoch": 0.76, + "learning_rate": 3.000621445364651e-06, + "loss": 0.878, + "step": 8914 + }, + { + "epoch": 0.76, + "learning_rate": 2.9986612571301675e-06, + "loss": 0.8594, + "step": 8915 + }, + { + "epoch": 0.76, + "learning_rate": 2.9967015964282077e-06, + "loss": 0.8402, + "step": 8916 + }, + { + "epoch": 0.76, + "learning_rate": 2.994742463406427e-06, + "loss": 0.839, + "step": 8917 + }, + { + "epoch": 0.76, + "learning_rate": 2.9927838582124334e-06, + "loss": 0.8985, + "step": 8918 + }, + { + "epoch": 0.76, + "learning_rate": 2.9908257809938167e-06, + "loss": 0.9209, + "step": 8919 + }, + { + "epoch": 0.76, + "learning_rate": 2.9888682318980975e-06, + "loss": 0.8368, + "step": 8920 + }, + { + "epoch": 0.76, + "learning_rate": 2.9869112110727862e-06, + "loss": 0.888, + "step": 8921 + }, + { + "epoch": 0.76, + "learning_rate": 2.9849547186653262e-06, + "loss": 0.8973, + "step": 8922 + }, + { + "epoch": 0.76, + "learning_rate": 2.9829987548231432e-06, + "loss": 0.8631, + "step": 8923 + }, + { + "epoch": 0.76, + "learning_rate": 2.9810433196936108e-06, + "loss": 0.8072, + "step": 8924 + }, + { + "epoch": 0.76, + "learning_rate": 2.9790884134240672e-06, + "loss": 0.9137, + "step": 8925 + }, + { + "epoch": 0.76, + "learning_rate": 2.9771340361618075e-06, + "loss": 0.8397, + "step": 8926 + }, + { + "epoch": 0.76, + "learning_rate": 2.9751801880540907e-06, + "loss": 0.821, + "step": 8927 + }, + { + "epoch": 0.76, + "learning_rate": 2.973226869248136e-06, + "loss": 0.8939, + "step": 8928 + }, + { + "epoch": 0.76, + "learning_rate": 2.971274079891112e-06, + "loss": 0.8543, + "step": 8929 + }, + { + "epoch": 0.76, + "learning_rate": 2.9693218201301687e-06, + "loss": 0.8243, + "step": 8930 + }, + { + "epoch": 0.76, + "learning_rate": 2.9673700901123914e-06, + "loss": 0.8717, + "step": 8931 + }, + { + "epoch": 0.76, + "learning_rate": 2.96541888998485e-06, + "loss": 0.8774, + "step": 8932 + }, + { + "epoch": 0.76, + "learning_rate": 2.9634682198945508e-06, + "loss": 0.9008, + "step": 8933 + }, + { + "epoch": 0.76, + "learning_rate": 2.9615180799884823e-06, + "loss": 0.9088, + "step": 8934 + }, + { + "epoch": 0.76, + "learning_rate": 2.959568470413572e-06, + "loss": 0.8401, + "step": 8935 + }, + { + "epoch": 0.76, + "learning_rate": 2.9576193913167285e-06, + "loss": 0.8987, + "step": 8936 + }, + { + "epoch": 0.76, + "learning_rate": 2.9556708428447987e-06, + "loss": 0.847, + "step": 8937 + }, + { + "epoch": 0.76, + "learning_rate": 2.9537228251446125e-06, + "loss": 0.7964, + "step": 8938 + }, + { + "epoch": 0.76, + "learning_rate": 2.9517753383629388e-06, + "loss": 0.6093, + "step": 8939 + }, + { + "epoch": 0.76, + "learning_rate": 2.9498283826465177e-06, + "loss": 0.776, + "step": 8940 + }, + { + "epoch": 0.76, + "learning_rate": 2.9478819581420493e-06, + "loss": 0.8943, + "step": 8941 + }, + { + "epoch": 0.76, + "learning_rate": 2.94593606499619e-06, + "loss": 0.8449, + "step": 8942 + }, + { + "epoch": 0.76, + "learning_rate": 2.943990703355558e-06, + "loss": 0.8685, + "step": 8943 + }, + { + "epoch": 0.76, + "learning_rate": 2.942045873366731e-06, + "loss": 0.8268, + "step": 8944 + }, + { + "epoch": 0.76, + "learning_rate": 2.9401015751762484e-06, + "loss": 0.5708, + "step": 8945 + }, + { + "epoch": 0.76, + "learning_rate": 2.9381578089306062e-06, + "loss": 0.8779, + "step": 8946 + }, + { + "epoch": 0.76, + "learning_rate": 2.9362145747762626e-06, + "loss": 0.8524, + "step": 8947 + }, + { + "epoch": 0.76, + "learning_rate": 2.934271872859635e-06, + "loss": 0.7897, + "step": 8948 + }, + { + "epoch": 0.76, + "learning_rate": 2.9323297033271014e-06, + "loss": 0.8768, + "step": 8949 + }, + { + "epoch": 0.76, + "learning_rate": 2.9303880663249985e-06, + "loss": 0.8215, + "step": 8950 + }, + { + "epoch": 0.76, + "learning_rate": 2.928446961999625e-06, + "loss": 0.9201, + "step": 8951 + }, + { + "epoch": 0.76, + "learning_rate": 2.926506390497236e-06, + "loss": 0.8906, + "step": 8952 + }, + { + "epoch": 0.76, + "learning_rate": 2.92456635196405e-06, + "loss": 0.8116, + "step": 8953 + }, + { + "epoch": 0.76, + "learning_rate": 2.9226268465462426e-06, + "loss": 0.8762, + "step": 8954 + }, + { + "epoch": 0.76, + "learning_rate": 2.9206878743899525e-06, + "loss": 0.856, + "step": 8955 + }, + { + "epoch": 0.76, + "learning_rate": 2.918749435641274e-06, + "loss": 0.8119, + "step": 8956 + }, + { + "epoch": 0.76, + "learning_rate": 2.9168115304462643e-06, + "loss": 0.8316, + "step": 8957 + }, + { + "epoch": 0.76, + "learning_rate": 2.914874158950939e-06, + "loss": 0.8255, + "step": 8958 + }, + { + "epoch": 0.76, + "learning_rate": 2.912937321301278e-06, + "loss": 0.8633, + "step": 8959 + }, + { + "epoch": 0.76, + "learning_rate": 2.9110010176432067e-06, + "loss": 0.8917, + "step": 8960 + }, + { + "epoch": 0.76, + "learning_rate": 2.9090652481226334e-06, + "loss": 0.8633, + "step": 8961 + }, + { + "epoch": 0.76, + "learning_rate": 2.9071300128854007e-06, + "loss": 0.8925, + "step": 8962 + }, + { + "epoch": 0.76, + "learning_rate": 2.9051953120773367e-06, + "loss": 0.887, + "step": 8963 + }, + { + "epoch": 0.76, + "learning_rate": 2.9032611458442028e-06, + "loss": 0.843, + "step": 8964 + }, + { + "epoch": 0.76, + "learning_rate": 2.9013275143317453e-06, + "loss": 0.852, + "step": 8965 + }, + { + "epoch": 0.76, + "learning_rate": 2.8993944176856458e-06, + "loss": 0.8807, + "step": 8966 + }, + { + "epoch": 0.76, + "learning_rate": 2.897461856051569e-06, + "loss": 0.8349, + "step": 8967 + }, + { + "epoch": 0.76, + "learning_rate": 2.8955298295751245e-06, + "loss": 0.8638, + "step": 8968 + }, + { + "epoch": 0.76, + "learning_rate": 2.893598338401884e-06, + "loss": 0.8747, + "step": 8969 + }, + { + "epoch": 0.76, + "learning_rate": 2.8916673826773856e-06, + "loss": 0.8383, + "step": 8970 + }, + { + "epoch": 0.76, + "learning_rate": 2.8897369625471105e-06, + "loss": 0.8247, + "step": 8971 + }, + { + "epoch": 0.76, + "learning_rate": 2.8878070781565247e-06, + "loss": 0.8668, + "step": 8972 + }, + { + "epoch": 0.76, + "learning_rate": 2.8858777296510276e-06, + "loss": 0.8461, + "step": 8973 + }, + { + "epoch": 0.76, + "learning_rate": 2.8839489171760015e-06, + "loss": 0.804, + "step": 8974 + }, + { + "epoch": 0.76, + "learning_rate": 2.882020640876766e-06, + "loss": 0.8298, + "step": 8975 + }, + { + "epoch": 0.76, + "learning_rate": 2.8800929008986234e-06, + "loss": 0.853, + "step": 8976 + }, + { + "epoch": 0.76, + "learning_rate": 2.878165697386812e-06, + "loss": 0.8758, + "step": 8977 + }, + { + "epoch": 0.76, + "learning_rate": 2.876239030486554e-06, + "loss": 0.8524, + "step": 8978 + }, + { + "epoch": 0.76, + "learning_rate": 2.874312900343006e-06, + "loss": 0.8899, + "step": 8979 + }, + { + "epoch": 0.76, + "learning_rate": 2.87238730710131e-06, + "loss": 0.8355, + "step": 8980 + }, + { + "epoch": 0.76, + "learning_rate": 2.8704622509065437e-06, + "loss": 0.8528, + "step": 8981 + }, + { + "epoch": 0.76, + "learning_rate": 2.8685377319037586e-06, + "loss": 0.8194, + "step": 8982 + }, + { + "epoch": 0.76, + "learning_rate": 2.8666137502379632e-06, + "loss": 0.8106, + "step": 8983 + }, + { + "epoch": 0.76, + "learning_rate": 2.864690306054123e-06, + "loss": 0.8555, + "step": 8984 + }, + { + "epoch": 0.76, + "learning_rate": 2.862767399497166e-06, + "loss": 0.8591, + "step": 8985 + }, + { + "epoch": 0.76, + "learning_rate": 2.8608450307119772e-06, + "loss": 0.8877, + "step": 8986 + }, + { + "epoch": 0.76, + "learning_rate": 2.8589231998434032e-06, + "loss": 0.8465, + "step": 8987 + }, + { + "epoch": 0.76, + "learning_rate": 2.8570019070362464e-06, + "loss": 0.4616, + "step": 8988 + }, + { + "epoch": 0.76, + "learning_rate": 2.8550811524352727e-06, + "loss": 0.886, + "step": 8989 + }, + { + "epoch": 0.76, + "learning_rate": 2.8531609361852074e-06, + "loss": 0.8983, + "step": 8990 + }, + { + "epoch": 0.76, + "learning_rate": 2.8512412584307314e-06, + "loss": 0.886, + "step": 8991 + }, + { + "epoch": 0.76, + "learning_rate": 2.8493221193164886e-06, + "loss": 0.8701, + "step": 8992 + }, + { + "epoch": 0.76, + "learning_rate": 2.847403518987081e-06, + "loss": 0.8771, + "step": 8993 + }, + { + "epoch": 0.76, + "learning_rate": 2.8454854575870694e-06, + "loss": 0.8707, + "step": 8994 + }, + { + "epoch": 0.76, + "learning_rate": 2.8435679352609747e-06, + "loss": 0.8345, + "step": 8995 + }, + { + "epoch": 0.76, + "learning_rate": 2.841650952153279e-06, + "loss": 0.8391, + "step": 8996 + }, + { + "epoch": 0.76, + "learning_rate": 2.8397345084084193e-06, + "loss": 0.8722, + "step": 8997 + }, + { + "epoch": 0.76, + "learning_rate": 2.8378186041707977e-06, + "loss": 0.8837, + "step": 8998 + }, + { + "epoch": 0.76, + "learning_rate": 2.8359032395847698e-06, + "loss": 0.8887, + "step": 8999 + }, + { + "epoch": 0.76, + "learning_rate": 2.833988414794654e-06, + "loss": 0.5256, + "step": 9000 + }, + { + "epoch": 0.76, + "learning_rate": 2.8320741299447306e-06, + "loss": 0.8461, + "step": 9001 + }, + { + "epoch": 0.76, + "learning_rate": 2.830160385179228e-06, + "loss": 0.8012, + "step": 9002 + }, + { + "epoch": 0.76, + "learning_rate": 2.828247180642353e-06, + "loss": 0.887, + "step": 9003 + }, + { + "epoch": 0.76, + "learning_rate": 2.8263345164782473e-06, + "loss": 0.8651, + "step": 9004 + }, + { + "epoch": 0.76, + "learning_rate": 2.8244223928310388e-06, + "loss": 0.8689, + "step": 9005 + }, + { + "epoch": 0.76, + "learning_rate": 2.8225108098447885e-06, + "loss": 0.8563, + "step": 9006 + }, + { + "epoch": 0.76, + "learning_rate": 2.82059976766354e-06, + "loss": 0.9014, + "step": 9007 + }, + { + "epoch": 0.76, + "learning_rate": 2.8186892664312758e-06, + "loss": 0.8814, + "step": 9008 + }, + { + "epoch": 0.76, + "learning_rate": 2.816779306291957e-06, + "loss": 0.8567, + "step": 9009 + }, + { + "epoch": 0.76, + "learning_rate": 2.814869887389483e-06, + "loss": 0.8644, + "step": 9010 + }, + { + "epoch": 0.76, + "learning_rate": 2.812961009867733e-06, + "loss": 0.8578, + "step": 9011 + }, + { + "epoch": 0.76, + "learning_rate": 2.8110526738705345e-06, + "loss": 0.858, + "step": 9012 + }, + { + "epoch": 0.76, + "learning_rate": 2.809144879541669e-06, + "loss": 0.8418, + "step": 9013 + }, + { + "epoch": 0.76, + "learning_rate": 2.8072376270248924e-06, + "loss": 0.8813, + "step": 9014 + }, + { + "epoch": 0.76, + "learning_rate": 2.805330916463902e-06, + "loss": 0.8657, + "step": 9015 + }, + { + "epoch": 0.76, + "learning_rate": 2.8034247480023735e-06, + "loss": 0.8463, + "step": 9016 + }, + { + "epoch": 0.76, + "learning_rate": 2.801519121783921e-06, + "loss": 0.8568, + "step": 9017 + }, + { + "epoch": 0.76, + "learning_rate": 2.7996140379521407e-06, + "loss": 0.8779, + "step": 9018 + }, + { + "epoch": 0.76, + "learning_rate": 2.7977094966505624e-06, + "loss": 0.8548, + "step": 9019 + }, + { + "epoch": 0.76, + "learning_rate": 2.795805498022701e-06, + "loss": 0.8561, + "step": 9020 + }, + { + "epoch": 0.76, + "learning_rate": 2.7939020422120065e-06, + "loss": 0.8873, + "step": 9021 + }, + { + "epoch": 0.76, + "learning_rate": 2.79199912936191e-06, + "loss": 0.8547, + "step": 9022 + }, + { + "epoch": 0.76, + "learning_rate": 2.7900967596157823e-06, + "loss": 0.8707, + "step": 9023 + }, + { + "epoch": 0.76, + "learning_rate": 2.7881949331169655e-06, + "loss": 0.8396, + "step": 9024 + }, + { + "epoch": 0.76, + "learning_rate": 2.7862936500087566e-06, + "loss": 0.7937, + "step": 9025 + }, + { + "epoch": 0.76, + "learning_rate": 2.7843929104344134e-06, + "loss": 0.8498, + "step": 9026 + }, + { + "epoch": 0.77, + "learning_rate": 2.7824927145371507e-06, + "loss": 0.8734, + "step": 9027 + }, + { + "epoch": 0.77, + "learning_rate": 2.7805930624601427e-06, + "loss": 0.8726, + "step": 9028 + }, + { + "epoch": 0.77, + "learning_rate": 2.778693954346525e-06, + "loss": 0.8266, + "step": 9029 + }, + { + "epoch": 0.77, + "learning_rate": 2.7767953903393894e-06, + "loss": 0.8883, + "step": 9030 + }, + { + "epoch": 0.77, + "learning_rate": 2.774897370581787e-06, + "loss": 0.895, + "step": 9031 + }, + { + "epoch": 0.77, + "learning_rate": 2.7729998952167304e-06, + "loss": 0.8711, + "step": 9032 + }, + { + "epoch": 0.77, + "learning_rate": 2.771102964387188e-06, + "loss": 0.813, + "step": 9033 + }, + { + "epoch": 0.77, + "learning_rate": 2.7692065782360876e-06, + "loss": 0.588, + "step": 9034 + }, + { + "epoch": 0.77, + "learning_rate": 2.7673107369063203e-06, + "loss": 0.8796, + "step": 9035 + }, + { + "epoch": 0.77, + "learning_rate": 2.7654154405407297e-06, + "loss": 0.8763, + "step": 9036 + }, + { + "epoch": 0.77, + "learning_rate": 2.763520689282122e-06, + "loss": 0.8422, + "step": 9037 + }, + { + "epoch": 0.77, + "learning_rate": 2.761626483273262e-06, + "loss": 0.8619, + "step": 9038 + }, + { + "epoch": 0.77, + "learning_rate": 2.7597328226568743e-06, + "loss": 0.8132, + "step": 9039 + }, + { + "epoch": 0.77, + "learning_rate": 2.7578397075756404e-06, + "loss": 0.817, + "step": 9040 + }, + { + "epoch": 0.77, + "learning_rate": 2.7559471381722004e-06, + "loss": 0.8735, + "step": 9041 + }, + { + "epoch": 0.77, + "learning_rate": 2.754055114589156e-06, + "loss": 0.8676, + "step": 9042 + }, + { + "epoch": 0.77, + "learning_rate": 2.7521636369690687e-06, + "loss": 0.8609, + "step": 9043 + }, + { + "epoch": 0.77, + "learning_rate": 2.7502727054544477e-06, + "loss": 0.8567, + "step": 9044 + }, + { + "epoch": 0.77, + "learning_rate": 2.7483823201877813e-06, + "loss": 0.8245, + "step": 9045 + }, + { + "epoch": 0.77, + "learning_rate": 2.7464924813114926e-06, + "loss": 0.8679, + "step": 9046 + }, + { + "epoch": 0.77, + "learning_rate": 2.7446031889679893e-06, + "loss": 0.8791, + "step": 9047 + }, + { + "epoch": 0.77, + "learning_rate": 2.742714443299612e-06, + "loss": 0.8906, + "step": 9048 + }, + { + "epoch": 0.77, + "learning_rate": 2.7408262444486844e-06, + "loss": 0.8466, + "step": 9049 + }, + { + "epoch": 0.77, + "learning_rate": 2.7389385925574654e-06, + "loss": 0.8452, + "step": 9050 + }, + { + "epoch": 0.77, + "learning_rate": 2.7370514877681965e-06, + "loss": 0.8285, + "step": 9051 + }, + { + "epoch": 0.77, + "learning_rate": 2.7351649302230553e-06, + "loss": 0.8716, + "step": 9052 + }, + { + "epoch": 0.77, + "learning_rate": 2.7332789200641995e-06, + "loss": 0.8504, + "step": 9053 + }, + { + "epoch": 0.77, + "learning_rate": 2.7313934574337263e-06, + "loss": 0.8455, + "step": 9054 + }, + { + "epoch": 0.77, + "learning_rate": 2.729508542473702e-06, + "loss": 0.9119, + "step": 9055 + }, + { + "epoch": 0.77, + "learning_rate": 2.727624175326157e-06, + "loss": 0.8169, + "step": 9056 + }, + { + "epoch": 0.77, + "learning_rate": 2.725740356133062e-06, + "loss": 0.8047, + "step": 9057 + }, + { + "epoch": 0.77, + "learning_rate": 2.72385708503637e-06, + "loss": 0.8237, + "step": 9058 + }, + { + "epoch": 0.77, + "learning_rate": 2.7219743621779683e-06, + "loss": 0.8659, + "step": 9059 + }, + { + "epoch": 0.77, + "learning_rate": 2.7200921876997264e-06, + "loss": 0.8535, + "step": 9060 + }, + { + "epoch": 0.77, + "learning_rate": 2.7182105617434516e-06, + "loss": 0.8592, + "step": 9061 + }, + { + "epoch": 0.77, + "learning_rate": 2.716329484450929e-06, + "loss": 0.5627, + "step": 9062 + }, + { + "epoch": 0.77, + "learning_rate": 2.7144489559638833e-06, + "loss": 0.8515, + "step": 9063 + }, + { + "epoch": 0.77, + "learning_rate": 2.7125689764240173e-06, + "loss": 0.9024, + "step": 9064 + }, + { + "epoch": 0.77, + "learning_rate": 2.710689545972973e-06, + "loss": 0.8135, + "step": 9065 + }, + { + "epoch": 0.77, + "learning_rate": 2.708810664752366e-06, + "loss": 0.7772, + "step": 9066 + }, + { + "epoch": 0.77, + "learning_rate": 2.7069323329037632e-06, + "loss": 0.8256, + "step": 9067 + }, + { + "epoch": 0.77, + "learning_rate": 2.705054550568693e-06, + "loss": 0.8497, + "step": 9068 + }, + { + "epoch": 0.77, + "learning_rate": 2.7031773178886413e-06, + "loss": 0.8773, + "step": 9069 + }, + { + "epoch": 0.77, + "learning_rate": 2.701300635005052e-06, + "loss": 0.8642, + "step": 9070 + }, + { + "epoch": 0.77, + "learning_rate": 2.699424502059328e-06, + "loss": 0.8923, + "step": 9071 + }, + { + "epoch": 0.77, + "learning_rate": 2.697548919192832e-06, + "loss": 0.8136, + "step": 9072 + }, + { + "epoch": 0.77, + "learning_rate": 2.6956738865468832e-06, + "loss": 0.8399, + "step": 9073 + }, + { + "epoch": 0.77, + "learning_rate": 2.6937994042627622e-06, + "loss": 0.8676, + "step": 9074 + }, + { + "epoch": 0.77, + "learning_rate": 2.6919254724817048e-06, + "loss": 0.8613, + "step": 9075 + }, + { + "epoch": 0.77, + "learning_rate": 2.690052091344907e-06, + "loss": 0.8717, + "step": 9076 + }, + { + "epoch": 0.77, + "learning_rate": 2.688179260993523e-06, + "loss": 0.8567, + "step": 9077 + }, + { + "epoch": 0.77, + "learning_rate": 2.686306981568666e-06, + "loss": 0.5431, + "step": 9078 + }, + { + "epoch": 0.77, + "learning_rate": 2.6844352532114084e-06, + "loss": 0.8335, + "step": 9079 + }, + { + "epoch": 0.77, + "learning_rate": 2.682564076062778e-06, + "loss": 0.8601, + "step": 9080 + }, + { + "epoch": 0.77, + "learning_rate": 2.6806934502637637e-06, + "loss": 0.8703, + "step": 9081 + }, + { + "epoch": 0.77, + "learning_rate": 2.678823375955314e-06, + "loss": 0.8761, + "step": 9082 + }, + { + "epoch": 0.77, + "learning_rate": 2.6769538532783314e-06, + "loss": 0.8431, + "step": 9083 + }, + { + "epoch": 0.77, + "learning_rate": 2.6750848823736817e-06, + "loss": 0.874, + "step": 9084 + }, + { + "epoch": 0.77, + "learning_rate": 2.673216463382189e-06, + "loss": 0.8471, + "step": 9085 + }, + { + "epoch": 0.77, + "learning_rate": 2.671348596444624e-06, + "loss": 0.8933, + "step": 9086 + }, + { + "epoch": 0.77, + "learning_rate": 2.669481281701739e-06, + "loss": 0.8051, + "step": 9087 + }, + { + "epoch": 0.77, + "learning_rate": 2.6676145192942194e-06, + "loss": 0.8889, + "step": 9088 + }, + { + "epoch": 0.77, + "learning_rate": 2.6657483093627312e-06, + "loss": 0.8361, + "step": 9089 + }, + { + "epoch": 0.77, + "learning_rate": 2.6638826520478787e-06, + "loss": 0.8326, + "step": 9090 + }, + { + "epoch": 0.77, + "learning_rate": 2.6620175474902444e-06, + "loss": 0.8674, + "step": 9091 + }, + { + "epoch": 0.77, + "learning_rate": 2.6601529958303475e-06, + "loss": 0.8852, + "step": 9092 + }, + { + "epoch": 0.77, + "learning_rate": 2.658288997208689e-06, + "loss": 0.8802, + "step": 9093 + }, + { + "epoch": 0.77, + "learning_rate": 2.6564255517657044e-06, + "loss": 0.8953, + "step": 9094 + }, + { + "epoch": 0.77, + "learning_rate": 2.654562659641812e-06, + "loss": 0.8168, + "step": 9095 + }, + { + "epoch": 0.77, + "learning_rate": 2.6527003209773663e-06, + "loss": 0.8797, + "step": 9096 + }, + { + "epoch": 0.77, + "learning_rate": 2.650838535912692e-06, + "loss": 0.8038, + "step": 9097 + }, + { + "epoch": 0.77, + "learning_rate": 2.648977304588072e-06, + "loss": 0.8563, + "step": 9098 + }, + { + "epoch": 0.77, + "learning_rate": 2.6471166271437397e-06, + "loss": 0.4704, + "step": 9099 + }, + { + "epoch": 0.77, + "learning_rate": 2.645256503719902e-06, + "loss": 0.8672, + "step": 9100 + }, + { + "epoch": 0.77, + "learning_rate": 2.6433969344567033e-06, + "loss": 0.8571, + "step": 9101 + }, + { + "epoch": 0.77, + "learning_rate": 2.641537919494268e-06, + "loss": 0.8425, + "step": 9102 + }, + { + "epoch": 0.77, + "learning_rate": 2.639679458972657e-06, + "loss": 0.8523, + "step": 9103 + }, + { + "epoch": 0.77, + "learning_rate": 2.6378215530319117e-06, + "loss": 0.8571, + "step": 9104 + }, + { + "epoch": 0.77, + "learning_rate": 2.635964201812008e-06, + "loss": 0.879, + "step": 9105 + }, + { + "epoch": 0.77, + "learning_rate": 2.634107405452906e-06, + "loss": 0.8321, + "step": 9106 + }, + { + "epoch": 0.77, + "learning_rate": 2.6322511640945e-06, + "loss": 0.8706, + "step": 9107 + }, + { + "epoch": 0.77, + "learning_rate": 2.6303954778766573e-06, + "loss": 0.8922, + "step": 9108 + }, + { + "epoch": 0.77, + "learning_rate": 2.628540346939198e-06, + "loss": 0.8509, + "step": 9109 + }, + { + "epoch": 0.77, + "learning_rate": 2.6266857714219007e-06, + "loss": 0.8543, + "step": 9110 + }, + { + "epoch": 0.77, + "learning_rate": 2.624831751464505e-06, + "loss": 0.825, + "step": 9111 + }, + { + "epoch": 0.77, + "learning_rate": 2.6229782872067042e-06, + "loss": 0.8737, + "step": 9112 + }, + { + "epoch": 0.77, + "learning_rate": 2.621125378788153e-06, + "loss": 0.841, + "step": 9113 + }, + { + "epoch": 0.77, + "learning_rate": 2.6192730263484633e-06, + "loss": 0.8727, + "step": 9114 + }, + { + "epoch": 0.77, + "learning_rate": 2.617421230027205e-06, + "loss": 0.8536, + "step": 9115 + }, + { + "epoch": 0.77, + "learning_rate": 2.615569989963905e-06, + "loss": 0.8819, + "step": 9116 + }, + { + "epoch": 0.77, + "learning_rate": 2.6137193062980506e-06, + "loss": 0.8484, + "step": 9117 + }, + { + "epoch": 0.77, + "learning_rate": 2.6118691791690865e-06, + "loss": 0.8992, + "step": 9118 + }, + { + "epoch": 0.77, + "learning_rate": 2.6100196087164132e-06, + "loss": 0.4865, + "step": 9119 + }, + { + "epoch": 0.77, + "learning_rate": 2.608170595079391e-06, + "loss": 0.5255, + "step": 9120 + }, + { + "epoch": 0.77, + "learning_rate": 2.60632213839734e-06, + "loss": 0.8703, + "step": 9121 + }, + { + "epoch": 0.77, + "learning_rate": 2.6044742388095366e-06, + "loss": 0.8555, + "step": 9122 + }, + { + "epoch": 0.77, + "learning_rate": 2.6026268964552125e-06, + "loss": 0.8787, + "step": 9123 + }, + { + "epoch": 0.77, + "learning_rate": 2.600780111473563e-06, + "loss": 0.8718, + "step": 9124 + }, + { + "epoch": 0.77, + "learning_rate": 2.598933884003737e-06, + "loss": 0.8456, + "step": 9125 + }, + { + "epoch": 0.77, + "learning_rate": 2.597088214184843e-06, + "loss": 0.8711, + "step": 9126 + }, + { + "epoch": 0.77, + "learning_rate": 2.595243102155951e-06, + "loss": 0.9097, + "step": 9127 + }, + { + "epoch": 0.77, + "learning_rate": 2.593398548056075e-06, + "loss": 0.8403, + "step": 9128 + }, + { + "epoch": 0.77, + "learning_rate": 2.5915545520242114e-06, + "loss": 0.8934, + "step": 9129 + }, + { + "epoch": 0.77, + "learning_rate": 2.589711114199287e-06, + "loss": 0.8645, + "step": 9130 + }, + { + "epoch": 0.77, + "learning_rate": 2.587868234720212e-06, + "loss": 0.8791, + "step": 9131 + }, + { + "epoch": 0.77, + "learning_rate": 2.5860259137258316e-06, + "loss": 0.8435, + "step": 9132 + }, + { + "epoch": 0.77, + "learning_rate": 2.5841841513549703e-06, + "loss": 0.8452, + "step": 9133 + }, + { + "epoch": 0.77, + "learning_rate": 2.58234294774639e-06, + "loss": 0.849, + "step": 9134 + }, + { + "epoch": 0.77, + "learning_rate": 2.580502303038831e-06, + "loss": 0.8362, + "step": 9135 + }, + { + "epoch": 0.77, + "learning_rate": 2.5786622173709695e-06, + "loss": 0.8476, + "step": 9136 + }, + { + "epoch": 0.77, + "learning_rate": 2.576822690881463e-06, + "loss": 0.9021, + "step": 9137 + }, + { + "epoch": 0.77, + "learning_rate": 2.574983723708906e-06, + "loss": 0.8622, + "step": 9138 + }, + { + "epoch": 0.77, + "learning_rate": 2.573145315991864e-06, + "loss": 0.8658, + "step": 9139 + }, + { + "epoch": 0.77, + "learning_rate": 2.571307467868854e-06, + "loss": 0.8952, + "step": 9140 + }, + { + "epoch": 0.77, + "learning_rate": 2.569470179478355e-06, + "loss": 0.9002, + "step": 9141 + }, + { + "epoch": 0.77, + "learning_rate": 2.567633450958801e-06, + "loss": 0.8731, + "step": 9142 + }, + { + "epoch": 0.77, + "learning_rate": 2.565797282448582e-06, + "loss": 0.8533, + "step": 9143 + }, + { + "epoch": 0.77, + "learning_rate": 2.5639616740860573e-06, + "loss": 0.8397, + "step": 9144 + }, + { + "epoch": 0.78, + "learning_rate": 2.562126626009522e-06, + "loss": 0.821, + "step": 9145 + }, + { + "epoch": 0.78, + "learning_rate": 2.5602921383572577e-06, + "loss": 0.8191, + "step": 9146 + }, + { + "epoch": 0.78, + "learning_rate": 2.5584582112674717e-06, + "loss": 0.8442, + "step": 9147 + }, + { + "epoch": 0.78, + "learning_rate": 2.55662484487836e-06, + "loss": 0.8679, + "step": 9148 + }, + { + "epoch": 0.78, + "learning_rate": 2.5547920393280547e-06, + "loss": 0.8913, + "step": 9149 + }, + { + "epoch": 0.78, + "learning_rate": 2.5529597947546526e-06, + "loss": 0.8741, + "step": 9150 + }, + { + "epoch": 0.78, + "learning_rate": 2.5511281112962096e-06, + "loss": 0.7987, + "step": 9151 + }, + { + "epoch": 0.78, + "learning_rate": 2.5492969890907383e-06, + "loss": 0.838, + "step": 9152 + }, + { + "epoch": 0.78, + "learning_rate": 2.5474664282762098e-06, + "loss": 0.9152, + "step": 9153 + }, + { + "epoch": 0.78, + "learning_rate": 2.545636428990551e-06, + "loss": 0.9009, + "step": 9154 + }, + { + "epoch": 0.78, + "learning_rate": 2.5438069913716477e-06, + "loss": 0.828, + "step": 9155 + }, + { + "epoch": 0.78, + "learning_rate": 2.541978115557344e-06, + "loss": 0.8384, + "step": 9156 + }, + { + "epoch": 0.78, + "learning_rate": 2.540149801685441e-06, + "loss": 0.8445, + "step": 9157 + }, + { + "epoch": 0.78, + "learning_rate": 2.5383220498936957e-06, + "loss": 0.8478, + "step": 9158 + }, + { + "epoch": 0.78, + "learning_rate": 2.536494860319826e-06, + "loss": 0.8796, + "step": 9159 + }, + { + "epoch": 0.78, + "learning_rate": 2.534668233101505e-06, + "loss": 0.8318, + "step": 9160 + }, + { + "epoch": 0.78, + "learning_rate": 2.532842168376365e-06, + "loss": 0.8883, + "step": 9161 + }, + { + "epoch": 0.78, + "learning_rate": 2.5310166662819947e-06, + "loss": 0.8233, + "step": 9162 + }, + { + "epoch": 0.78, + "learning_rate": 2.5291917269559408e-06, + "loss": 0.8653, + "step": 9163 + }, + { + "epoch": 0.78, + "learning_rate": 2.5273673505357078e-06, + "loss": 0.8517, + "step": 9164 + }, + { + "epoch": 0.78, + "learning_rate": 2.5255435371587578e-06, + "loss": 0.8339, + "step": 9165 + }, + { + "epoch": 0.78, + "learning_rate": 2.52372028696251e-06, + "loss": 0.8603, + "step": 9166 + }, + { + "epoch": 0.78, + "learning_rate": 2.521897600084342e-06, + "loss": 0.8648, + "step": 9167 + }, + { + "epoch": 0.78, + "learning_rate": 2.5200754766615876e-06, + "loss": 0.8454, + "step": 9168 + }, + { + "epoch": 0.78, + "learning_rate": 2.5182539168315435e-06, + "loss": 0.8874, + "step": 9169 + }, + { + "epoch": 0.78, + "learning_rate": 2.5164329207314495e-06, + "loss": 0.848, + "step": 9170 + }, + { + "epoch": 0.78, + "learning_rate": 2.5146124884985255e-06, + "loss": 0.8561, + "step": 9171 + }, + { + "epoch": 0.78, + "learning_rate": 2.512792620269924e-06, + "loss": 0.8369, + "step": 9172 + }, + { + "epoch": 0.78, + "learning_rate": 2.5109733161827786e-06, + "loss": 0.9062, + "step": 9173 + }, + { + "epoch": 0.78, + "learning_rate": 2.5091545763741578e-06, + "loss": 0.8754, + "step": 9174 + }, + { + "epoch": 0.78, + "learning_rate": 2.5073364009811107e-06, + "loss": 0.8791, + "step": 9175 + }, + { + "epoch": 0.78, + "learning_rate": 2.5055187901406208e-06, + "loss": 0.7989, + "step": 9176 + }, + { + "epoch": 0.78, + "learning_rate": 2.5037017439896503e-06, + "loss": 0.8653, + "step": 9177 + }, + { + "epoch": 0.78, + "learning_rate": 2.501885262665099e-06, + "loss": 0.8836, + "step": 9178 + }, + { + "epoch": 0.78, + "learning_rate": 2.500069346303845e-06, + "loss": 0.8734, + "step": 9179 + }, + { + "epoch": 0.78, + "learning_rate": 2.4982539950427044e-06, + "loss": 0.8338, + "step": 9180 + }, + { + "epoch": 0.78, + "learning_rate": 2.496439209018461e-06, + "loss": 0.8423, + "step": 9181 + }, + { + "epoch": 0.78, + "learning_rate": 2.494624988367855e-06, + "loss": 0.8475, + "step": 9182 + }, + { + "epoch": 0.78, + "learning_rate": 2.492811333227583e-06, + "loss": 0.8742, + "step": 9183 + }, + { + "epoch": 0.78, + "learning_rate": 2.4909982437342993e-06, + "loss": 0.9156, + "step": 9184 + }, + { + "epoch": 0.78, + "learning_rate": 2.489185720024616e-06, + "loss": 0.8269, + "step": 9185 + }, + { + "epoch": 0.78, + "learning_rate": 2.487373762235101e-06, + "loss": 0.8476, + "step": 9186 + }, + { + "epoch": 0.78, + "learning_rate": 2.485562370502279e-06, + "loss": 0.8453, + "step": 9187 + }, + { + "epoch": 0.78, + "learning_rate": 2.4837515449626405e-06, + "loss": 0.8459, + "step": 9188 + }, + { + "epoch": 0.78, + "learning_rate": 2.481941285752616e-06, + "loss": 0.8434, + "step": 9189 + }, + { + "epoch": 0.78, + "learning_rate": 2.4801315930086147e-06, + "loss": 0.8761, + "step": 9190 + }, + { + "epoch": 0.78, + "learning_rate": 2.478322466866985e-06, + "loss": 0.8855, + "step": 9191 + }, + { + "epoch": 0.78, + "learning_rate": 2.476513907464041e-06, + "loss": 0.8851, + "step": 9192 + }, + { + "epoch": 0.78, + "learning_rate": 2.474705914936053e-06, + "loss": 0.8915, + "step": 9193 + }, + { + "epoch": 0.78, + "learning_rate": 2.47289848941925e-06, + "loss": 0.8786, + "step": 9194 + }, + { + "epoch": 0.78, + "learning_rate": 2.4710916310498155e-06, + "loss": 0.8843, + "step": 9195 + }, + { + "epoch": 0.78, + "learning_rate": 2.469285339963892e-06, + "loss": 0.8722, + "step": 9196 + }, + { + "epoch": 0.78, + "learning_rate": 2.4674796162975778e-06, + "loss": 0.8673, + "step": 9197 + }, + { + "epoch": 0.78, + "learning_rate": 2.465674460186931e-06, + "loss": 0.8789, + "step": 9198 + }, + { + "epoch": 0.78, + "learning_rate": 2.4638698717679653e-06, + "loss": 0.8683, + "step": 9199 + }, + { + "epoch": 0.78, + "learning_rate": 2.4620658511766504e-06, + "loss": 0.8734, + "step": 9200 + }, + { + "epoch": 0.78, + "learning_rate": 2.460262398548916e-06, + "loss": 0.8485, + "step": 9201 + }, + { + "epoch": 0.78, + "learning_rate": 2.4584595140206457e-06, + "loss": 0.8849, + "step": 9202 + }, + { + "epoch": 0.78, + "learning_rate": 2.4566571977276845e-06, + "loss": 0.8559, + "step": 9203 + }, + { + "epoch": 0.78, + "learning_rate": 2.4548554498058295e-06, + "loss": 0.8363, + "step": 9204 + }, + { + "epoch": 0.78, + "learning_rate": 2.45305427039084e-06, + "loss": 0.862, + "step": 9205 + }, + { + "epoch": 0.78, + "learning_rate": 2.4512536596184288e-06, + "loss": 0.8397, + "step": 9206 + }, + { + "epoch": 0.78, + "learning_rate": 2.4494536176242677e-06, + "loss": 0.9081, + "step": 9207 + }, + { + "epoch": 0.78, + "learning_rate": 2.447654144543986e-06, + "loss": 0.8309, + "step": 9208 + }, + { + "epoch": 0.78, + "learning_rate": 2.4458552405131673e-06, + "loss": 0.8708, + "step": 9209 + }, + { + "epoch": 0.78, + "learning_rate": 2.444056905667356e-06, + "loss": 0.8434, + "step": 9210 + }, + { + "epoch": 0.78, + "learning_rate": 2.4422591401420537e-06, + "loss": 0.8161, + "step": 9211 + }, + { + "epoch": 0.78, + "learning_rate": 2.4404619440727095e-06, + "loss": 0.8886, + "step": 9212 + }, + { + "epoch": 0.78, + "learning_rate": 2.4386653175947483e-06, + "loss": 0.8539, + "step": 9213 + }, + { + "epoch": 0.78, + "learning_rate": 2.4368692608435294e-06, + "loss": 0.8767, + "step": 9214 + }, + { + "epoch": 0.78, + "learning_rate": 2.4350737739543938e-06, + "loss": 0.8536, + "step": 9215 + }, + { + "epoch": 0.78, + "learning_rate": 2.4332788570626143e-06, + "loss": 0.8558, + "step": 9216 + }, + { + "epoch": 0.78, + "learning_rate": 2.4314845103034456e-06, + "loss": 0.8725, + "step": 9217 + }, + { + "epoch": 0.78, + "learning_rate": 2.4296907338120733e-06, + "loss": 0.8504, + "step": 9218 + }, + { + "epoch": 0.78, + "learning_rate": 2.4278975277236682e-06, + "loss": 0.8425, + "step": 9219 + }, + { + "epoch": 0.78, + "learning_rate": 2.42610489217333e-06, + "loss": 0.8317, + "step": 9220 + }, + { + "epoch": 0.78, + "learning_rate": 2.4243128272961412e-06, + "loss": 0.8856, + "step": 9221 + }, + { + "epoch": 0.78, + "learning_rate": 2.4225213332271203e-06, + "loss": 0.8066, + "step": 9222 + }, + { + "epoch": 0.78, + "learning_rate": 2.420730410101255e-06, + "loss": 0.8867, + "step": 9223 + }, + { + "epoch": 0.78, + "learning_rate": 2.4189400580534873e-06, + "loss": 0.8388, + "step": 9224 + }, + { + "epoch": 0.78, + "learning_rate": 2.4171502772187148e-06, + "loss": 0.8316, + "step": 9225 + }, + { + "epoch": 0.78, + "learning_rate": 2.415361067731793e-06, + "loss": 0.8394, + "step": 9226 + }, + { + "epoch": 0.78, + "learning_rate": 2.413572429727533e-06, + "loss": 0.8907, + "step": 9227 + }, + { + "epoch": 0.78, + "learning_rate": 2.4117843633407055e-06, + "loss": 0.8999, + "step": 9228 + }, + { + "epoch": 0.78, + "learning_rate": 2.409996868706036e-06, + "loss": 0.8224, + "step": 9229 + }, + { + "epoch": 0.78, + "learning_rate": 2.4082099459582078e-06, + "loss": 0.8768, + "step": 9230 + }, + { + "epoch": 0.78, + "learning_rate": 2.406423595231857e-06, + "loss": 0.8503, + "step": 9231 + }, + { + "epoch": 0.78, + "learning_rate": 2.40463781666159e-06, + "loss": 0.9101, + "step": 9232 + }, + { + "epoch": 0.78, + "learning_rate": 2.4028526103819527e-06, + "loss": 0.8817, + "step": 9233 + }, + { + "epoch": 0.78, + "learning_rate": 2.401067976527457e-06, + "loss": 0.8463, + "step": 9234 + }, + { + "epoch": 0.78, + "learning_rate": 2.399283915232571e-06, + "loss": 0.8551, + "step": 9235 + }, + { + "epoch": 0.78, + "learning_rate": 2.3975004266317193e-06, + "loss": 0.8358, + "step": 9236 + }, + { + "epoch": 0.78, + "learning_rate": 2.3957175108592836e-06, + "loss": 0.8578, + "step": 9237 + }, + { + "epoch": 0.78, + "learning_rate": 2.3939351680495994e-06, + "loss": 0.8925, + "step": 9238 + }, + { + "epoch": 0.78, + "learning_rate": 2.392153398336964e-06, + "loss": 0.8706, + "step": 9239 + }, + { + "epoch": 0.78, + "learning_rate": 2.3903722018556285e-06, + "loss": 0.7699, + "step": 9240 + }, + { + "epoch": 0.78, + "learning_rate": 2.3885915787398016e-06, + "loss": 0.873, + "step": 9241 + }, + { + "epoch": 0.78, + "learning_rate": 2.3868115291236515e-06, + "loss": 0.8712, + "step": 9242 + }, + { + "epoch": 0.78, + "learning_rate": 2.3850320531412908e-06, + "loss": 0.8647, + "step": 9243 + }, + { + "epoch": 0.78, + "learning_rate": 2.3832531509268076e-06, + "loss": 0.8604, + "step": 9244 + }, + { + "epoch": 0.78, + "learning_rate": 2.3814748226142335e-06, + "loss": 0.8531, + "step": 9245 + }, + { + "epoch": 0.78, + "learning_rate": 2.379697068337563e-06, + "loss": 0.8572, + "step": 9246 + }, + { + "epoch": 0.78, + "learning_rate": 2.379697068337563e-06, + "loss": 0.8201, + "step": 9247 + }, + { + "epoch": 0.78, + "learning_rate": 2.3779198882307443e-06, + "loss": 0.8194, + "step": 9248 + }, + { + "epoch": 0.78, + "learning_rate": 2.376143282427683e-06, + "loss": 0.8142, + "step": 9249 + }, + { + "epoch": 0.78, + "learning_rate": 2.3743672510622417e-06, + "loss": 0.885, + "step": 9250 + }, + { + "epoch": 0.78, + "learning_rate": 2.3725917942682397e-06, + "loss": 0.8328, + "step": 9251 + }, + { + "epoch": 0.78, + "learning_rate": 2.370816912179452e-06, + "loss": 0.8381, + "step": 9252 + }, + { + "epoch": 0.78, + "learning_rate": 2.3690426049296145e-06, + "loss": 0.8405, + "step": 9253 + }, + { + "epoch": 0.78, + "learning_rate": 2.367268872652416e-06, + "loss": 0.867, + "step": 9254 + }, + { + "epoch": 0.78, + "learning_rate": 2.365495715481495e-06, + "loss": 0.9006, + "step": 9255 + }, + { + "epoch": 0.78, + "learning_rate": 2.3637231335504675e-06, + "loss": 0.8757, + "step": 9256 + }, + { + "epoch": 0.78, + "learning_rate": 2.3619511269928784e-06, + "loss": 0.8322, + "step": 9257 + }, + { + "epoch": 0.78, + "learning_rate": 2.3601796959422585e-06, + "loss": 0.5626, + "step": 9258 + }, + { + "epoch": 0.78, + "learning_rate": 2.358408840532066e-06, + "loss": 0.8979, + "step": 9259 + }, + { + "epoch": 0.78, + "learning_rate": 2.3566385608957443e-06, + "loss": 0.8803, + "step": 9260 + }, + { + "epoch": 0.78, + "learning_rate": 2.3548688571666657e-06, + "loss": 0.8635, + "step": 9261 + }, + { + "epoch": 0.78, + "learning_rate": 2.3530997294781854e-06, + "loss": 0.7967, + "step": 9262 + }, + { + "epoch": 0.79, + "learning_rate": 2.3513311779635904e-06, + "loss": 0.8347, + "step": 9263 + }, + { + "epoch": 0.79, + "learning_rate": 2.349563202756149e-06, + "loss": 0.8433, + "step": 9264 + }, + { + "epoch": 0.79, + "learning_rate": 2.3477958039890638e-06, + "loss": 0.8775, + "step": 9265 + }, + { + "epoch": 0.79, + "learning_rate": 2.3460289817955063e-06, + "loss": 0.9192, + "step": 9266 + }, + { + "epoch": 0.79, + "learning_rate": 2.3442627363086026e-06, + "loss": 0.8972, + "step": 9267 + }, + { + "epoch": 0.79, + "learning_rate": 2.3424970676614354e-06, + "loss": 0.8927, + "step": 9268 + }, + { + "epoch": 0.79, + "learning_rate": 2.340731975987042e-06, + "loss": 0.8577, + "step": 9269 + }, + { + "epoch": 0.79, + "learning_rate": 2.3389674614184177e-06, + "loss": 0.908, + "step": 9270 + }, + { + "epoch": 0.79, + "learning_rate": 2.337203524088514e-06, + "loss": 0.9048, + "step": 9271 + }, + { + "epoch": 0.79, + "learning_rate": 2.3354401641302395e-06, + "loss": 0.8745, + "step": 9272 + }, + { + "epoch": 0.79, + "learning_rate": 2.333677381676458e-06, + "loss": 0.9067, + "step": 9273 + }, + { + "epoch": 0.79, + "learning_rate": 2.33191517685999e-06, + "loss": 0.8788, + "step": 9274 + }, + { + "epoch": 0.79, + "learning_rate": 2.330153549813615e-06, + "loss": 0.9177, + "step": 9275 + }, + { + "epoch": 0.79, + "learning_rate": 2.3283925006700657e-06, + "loss": 0.8628, + "step": 9276 + }, + { + "epoch": 0.79, + "learning_rate": 2.326632029562034e-06, + "loss": 0.8522, + "step": 9277 + }, + { + "epoch": 0.79, + "learning_rate": 2.324872136622164e-06, + "loss": 0.8654, + "step": 9278 + }, + { + "epoch": 0.79, + "learning_rate": 2.323112821983061e-06, + "loss": 0.8654, + "step": 9279 + }, + { + "epoch": 0.79, + "learning_rate": 2.321354085777284e-06, + "loss": 0.8796, + "step": 9280 + }, + { + "epoch": 0.79, + "learning_rate": 2.319595928137349e-06, + "loss": 0.8502, + "step": 9281 + }, + { + "epoch": 0.79, + "learning_rate": 2.31783834919573e-06, + "loss": 0.8767, + "step": 9282 + }, + { + "epoch": 0.79, + "learning_rate": 2.3160813490848542e-06, + "loss": 0.8372, + "step": 9283 + }, + { + "epoch": 0.79, + "learning_rate": 2.3143249279371085e-06, + "loss": 0.8552, + "step": 9284 + }, + { + "epoch": 0.79, + "learning_rate": 2.312569085884836e-06, + "loss": 0.8793, + "step": 9285 + }, + { + "epoch": 0.79, + "learning_rate": 2.310813823060327e-06, + "loss": 0.874, + "step": 9286 + }, + { + "epoch": 0.79, + "learning_rate": 2.3090591395958485e-06, + "loss": 0.8298, + "step": 9287 + }, + { + "epoch": 0.79, + "learning_rate": 2.307305035623597e-06, + "loss": 0.8493, + "step": 9288 + }, + { + "epoch": 0.79, + "learning_rate": 2.305551511275751e-06, + "loss": 0.8472, + "step": 9289 + }, + { + "epoch": 0.79, + "learning_rate": 2.3037985666844297e-06, + "loss": 0.8627, + "step": 9290 + }, + { + "epoch": 0.79, + "learning_rate": 2.3020462019817137e-06, + "loss": 0.8758, + "step": 9291 + }, + { + "epoch": 0.79, + "learning_rate": 2.3002944172996377e-06, + "loss": 0.8515, + "step": 9292 + }, + { + "epoch": 0.79, + "learning_rate": 2.2985432127701945e-06, + "loss": 0.8826, + "step": 9293 + }, + { + "epoch": 0.79, + "learning_rate": 2.296792588525335e-06, + "loss": 0.8658, + "step": 9294 + }, + { + "epoch": 0.79, + "learning_rate": 2.2950425446969605e-06, + "loss": 0.8664, + "step": 9295 + }, + { + "epoch": 0.79, + "learning_rate": 2.2932930814169383e-06, + "loss": 0.8039, + "step": 9296 + }, + { + "epoch": 0.79, + "learning_rate": 2.291544198817075e-06, + "loss": 0.8493, + "step": 9297 + }, + { + "epoch": 0.79, + "learning_rate": 2.2897958970291578e-06, + "loss": 0.9351, + "step": 9298 + }, + { + "epoch": 0.79, + "learning_rate": 2.2880481761849037e-06, + "loss": 0.8635, + "step": 9299 + }, + { + "epoch": 0.79, + "learning_rate": 2.28630103641601e-06, + "loss": 0.8265, + "step": 9300 + }, + { + "epoch": 0.79, + "learning_rate": 2.2845544778541095e-06, + "loss": 0.8768, + "step": 9301 + }, + { + "epoch": 0.79, + "learning_rate": 2.28280850063081e-06, + "loss": 0.8533, + "step": 9302 + }, + { + "epoch": 0.79, + "learning_rate": 2.2810631048776566e-06, + "loss": 0.8344, + "step": 9303 + }, + { + "epoch": 0.79, + "learning_rate": 2.279318290726171e-06, + "loss": 0.848, + "step": 9304 + }, + { + "epoch": 0.79, + "learning_rate": 2.27757405830781e-06, + "loss": 0.8433, + "step": 9305 + }, + { + "epoch": 0.79, + "learning_rate": 2.275830407754006e-06, + "loss": 0.8221, + "step": 9306 + }, + { + "epoch": 0.79, + "learning_rate": 2.2740873391961325e-06, + "loss": 0.8431, + "step": 9307 + }, + { + "epoch": 0.79, + "learning_rate": 2.2723448527655267e-06, + "loss": 0.8532, + "step": 9308 + }, + { + "epoch": 0.79, + "learning_rate": 2.2706029485934813e-06, + "loss": 0.8809, + "step": 9309 + }, + { + "epoch": 0.79, + "learning_rate": 2.268861626811242e-06, + "loss": 0.8912, + "step": 9310 + }, + { + "epoch": 0.79, + "learning_rate": 2.267120887550015e-06, + "loss": 0.8512, + "step": 9311 + }, + { + "epoch": 0.79, + "learning_rate": 2.2653807309409593e-06, + "loss": 0.8797, + "step": 9312 + }, + { + "epoch": 0.79, + "learning_rate": 2.263641157115193e-06, + "loss": 0.8876, + "step": 9313 + }, + { + "epoch": 0.79, + "learning_rate": 2.2619021662037855e-06, + "loss": 0.8546, + "step": 9314 + }, + { + "epoch": 0.79, + "learning_rate": 2.260163758337768e-06, + "loss": 0.8512, + "step": 9315 + }, + { + "epoch": 0.79, + "learning_rate": 2.258425933648122e-06, + "loss": 0.8806, + "step": 9316 + }, + { + "epoch": 0.79, + "learning_rate": 2.2566886922657917e-06, + "loss": 0.8226, + "step": 9317 + }, + { + "epoch": 0.79, + "learning_rate": 2.2549520343216704e-06, + "loss": 0.861, + "step": 9318 + }, + { + "epoch": 0.79, + "learning_rate": 2.253215959946612e-06, + "loss": 0.8422, + "step": 9319 + }, + { + "epoch": 0.79, + "learning_rate": 2.2514804692714264e-06, + "loss": 0.9124, + "step": 9320 + }, + { + "epoch": 0.79, + "learning_rate": 2.249745562426876e-06, + "loss": 0.8655, + "step": 9321 + }, + { + "epoch": 0.79, + "learning_rate": 2.2480112395436826e-06, + "loss": 0.8759, + "step": 9322 + }, + { + "epoch": 0.79, + "learning_rate": 2.246277500752524e-06, + "loss": 0.847, + "step": 9323 + }, + { + "epoch": 0.79, + "learning_rate": 2.244544346184031e-06, + "loss": 0.8504, + "step": 9324 + }, + { + "epoch": 0.79, + "learning_rate": 2.2428117759687926e-06, + "loss": 0.8939, + "step": 9325 + }, + { + "epoch": 0.79, + "learning_rate": 2.241079790237355e-06, + "loss": 0.8636, + "step": 9326 + }, + { + "epoch": 0.79, + "learning_rate": 2.2393483891202194e-06, + "loss": 0.8372, + "step": 9327 + }, + { + "epoch": 0.79, + "learning_rate": 2.2376175727478346e-06, + "loss": 0.8642, + "step": 9328 + }, + { + "epoch": 0.79, + "learning_rate": 2.2358873412506254e-06, + "loss": 0.8385, + "step": 9329 + }, + { + "epoch": 0.79, + "learning_rate": 2.2341576947589472e-06, + "loss": 0.8727, + "step": 9330 + }, + { + "epoch": 0.79, + "learning_rate": 2.2324286334031377e-06, + "loss": 0.8691, + "step": 9331 + }, + { + "epoch": 0.79, + "learning_rate": 2.2307001573134646e-06, + "loss": 0.8286, + "step": 9332 + }, + { + "epoch": 0.79, + "learning_rate": 2.228972266620172e-06, + "loss": 0.8459, + "step": 9333 + }, + { + "epoch": 0.79, + "learning_rate": 2.227244961453451e-06, + "loss": 0.8314, + "step": 9334 + }, + { + "epoch": 0.79, + "learning_rate": 2.225518241943446e-06, + "loss": 0.8644, + "step": 9335 + }, + { + "epoch": 0.79, + "learning_rate": 2.223792108220265e-06, + "loss": 0.8849, + "step": 9336 + }, + { + "epoch": 0.79, + "learning_rate": 2.222066560413966e-06, + "loss": 0.8688, + "step": 9337 + }, + { + "epoch": 0.79, + "learning_rate": 2.220341598654565e-06, + "loss": 0.831, + "step": 9338 + }, + { + "epoch": 0.79, + "learning_rate": 2.2186172230720293e-06, + "loss": 0.8404, + "step": 9339 + }, + { + "epoch": 0.79, + "learning_rate": 2.2168934337962932e-06, + "loss": 0.8632, + "step": 9340 + }, + { + "epoch": 0.79, + "learning_rate": 2.215170230957231e-06, + "loss": 0.8193, + "step": 9341 + }, + { + "epoch": 0.79, + "learning_rate": 2.213447614684692e-06, + "loss": 0.8948, + "step": 9342 + }, + { + "epoch": 0.79, + "learning_rate": 2.2117255851084595e-06, + "loss": 0.8818, + "step": 9343 + }, + { + "epoch": 0.79, + "learning_rate": 2.2100041423582954e-06, + "loss": 0.9086, + "step": 9344 + }, + { + "epoch": 0.79, + "learning_rate": 2.208283286563894e-06, + "loss": 0.8367, + "step": 9345 + }, + { + "epoch": 0.79, + "learning_rate": 2.206563017854929e-06, + "loss": 0.4934, + "step": 9346 + }, + { + "epoch": 0.79, + "learning_rate": 2.2048433363610077e-06, + "loss": 0.8302, + "step": 9347 + }, + { + "epoch": 0.79, + "learning_rate": 2.2031242422117127e-06, + "loss": 0.863, + "step": 9348 + }, + { + "epoch": 0.79, + "learning_rate": 2.201405735536567e-06, + "loss": 0.8837, + "step": 9349 + }, + { + "epoch": 0.79, + "learning_rate": 2.199687816465058e-06, + "loss": 0.8611, + "step": 9350 + }, + { + "epoch": 0.79, + "learning_rate": 2.197970485126625e-06, + "loss": 0.8373, + "step": 9351 + }, + { + "epoch": 0.79, + "learning_rate": 2.1962537416506656e-06, + "loss": 0.8337, + "step": 9352 + }, + { + "epoch": 0.79, + "learning_rate": 2.194537586166532e-06, + "loss": 0.5507, + "step": 9353 + }, + { + "epoch": 0.79, + "learning_rate": 2.192822018803532e-06, + "loss": 0.8452, + "step": 9354 + }, + { + "epoch": 0.79, + "learning_rate": 2.1911070396909285e-06, + "loss": 0.8456, + "step": 9355 + }, + { + "epoch": 0.79, + "learning_rate": 2.18939264895794e-06, + "loss": 0.8745, + "step": 9356 + }, + { + "epoch": 0.79, + "learning_rate": 2.1876788467337427e-06, + "loss": 0.8868, + "step": 9357 + }, + { + "epoch": 0.79, + "learning_rate": 2.1859656331474677e-06, + "loss": 0.8048, + "step": 9358 + }, + { + "epoch": 0.79, + "learning_rate": 2.184253008328199e-06, + "loss": 0.8183, + "step": 9359 + }, + { + "epoch": 0.79, + "learning_rate": 2.1825409724049807e-06, + "loss": 0.8656, + "step": 9360 + }, + { + "epoch": 0.79, + "learning_rate": 2.180829525506808e-06, + "loss": 0.8588, + "step": 9361 + }, + { + "epoch": 0.79, + "learning_rate": 2.179118667762635e-06, + "loss": 0.8396, + "step": 9362 + }, + { + "epoch": 0.79, + "learning_rate": 2.1774083993013715e-06, + "loss": 0.8115, + "step": 9363 + }, + { + "epoch": 0.79, + "learning_rate": 2.17569872025188e-06, + "loss": 0.9075, + "step": 9364 + }, + { + "epoch": 0.79, + "learning_rate": 2.173989630742981e-06, + "loss": 0.8519, + "step": 9365 + }, + { + "epoch": 0.79, + "learning_rate": 2.1722811309034486e-06, + "loss": 0.8486, + "step": 9366 + }, + { + "epoch": 0.79, + "learning_rate": 2.170573220862017e-06, + "loss": 0.8336, + "step": 9367 + }, + { + "epoch": 0.79, + "learning_rate": 2.16886590074737e-06, + "loss": 0.8716, + "step": 9368 + }, + { + "epoch": 0.79, + "learning_rate": 2.167159170688152e-06, + "loss": 0.8316, + "step": 9369 + }, + { + "epoch": 0.79, + "learning_rate": 2.165453030812955e-06, + "loss": 0.8574, + "step": 9370 + }, + { + "epoch": 0.79, + "learning_rate": 2.163747481250342e-06, + "loss": 0.8837, + "step": 9371 + }, + { + "epoch": 0.79, + "learning_rate": 2.16204252212881e-06, + "loss": 0.8485, + "step": 9372 + }, + { + "epoch": 0.79, + "learning_rate": 2.160338153576834e-06, + "loss": 0.8793, + "step": 9373 + }, + { + "epoch": 0.79, + "learning_rate": 2.1586343757228247e-06, + "loss": 0.8671, + "step": 9374 + }, + { + "epoch": 0.79, + "learning_rate": 2.156931188695166e-06, + "loss": 0.861, + "step": 9375 + }, + { + "epoch": 0.79, + "learning_rate": 2.1552285926221792e-06, + "loss": 0.8868, + "step": 9376 + }, + { + "epoch": 0.79, + "learning_rate": 2.1535265876321574e-06, + "loss": 0.8601, + "step": 9377 + }, + { + "epoch": 0.79, + "learning_rate": 2.1518251738533413e-06, + "loss": 0.8279, + "step": 9378 + }, + { + "epoch": 0.79, + "learning_rate": 2.150124351413926e-06, + "loss": 0.8724, + "step": 9379 + }, + { + "epoch": 0.79, + "learning_rate": 2.1484241204420676e-06, + "loss": 0.8508, + "step": 9380 + }, + { + "epoch": 0.8, + "learning_rate": 2.1467244810658648e-06, + "loss": 0.5023, + "step": 9381 + }, + { + "epoch": 0.8, + "learning_rate": 2.1450254334133945e-06, + "loss": 0.8575, + "step": 9382 + }, + { + "epoch": 0.8, + "learning_rate": 2.143326977612662e-06, + "loss": 0.8245, + "step": 9383 + }, + { + "epoch": 0.8, + "learning_rate": 2.1416291137916535e-06, + "loss": 0.8461, + "step": 9384 + }, + { + "epoch": 0.8, + "learning_rate": 2.1399318420782876e-06, + "loss": 0.9048, + "step": 9385 + }, + { + "epoch": 0.8, + "learning_rate": 2.1382351626004595e-06, + "loss": 0.8694, + "step": 9386 + }, + { + "epoch": 0.8, + "learning_rate": 2.1365390754860006e-06, + "loss": 0.8305, + "step": 9387 + }, + { + "epoch": 0.8, + "learning_rate": 2.1348435808627153e-06, + "loss": 0.8251, + "step": 9388 + }, + { + "epoch": 0.8, + "learning_rate": 2.1331486788583444e-06, + "loss": 0.8813, + "step": 9389 + }, + { + "epoch": 0.8, + "learning_rate": 2.1314543696006063e-06, + "loss": 0.8518, + "step": 9390 + }, + { + "epoch": 0.8, + "learning_rate": 2.1297606532171532e-06, + "loss": 0.8849, + "step": 9391 + }, + { + "epoch": 0.8, + "learning_rate": 2.128067529835606e-06, + "loss": 0.8413, + "step": 9392 + }, + { + "epoch": 0.8, + "learning_rate": 2.126374999583536e-06, + "loss": 0.8539, + "step": 9393 + }, + { + "epoch": 0.8, + "learning_rate": 2.1246830625884706e-06, + "loss": 0.8767, + "step": 9394 + }, + { + "epoch": 0.8, + "learning_rate": 2.122991718977896e-06, + "loss": 0.8547, + "step": 9395 + }, + { + "epoch": 0.8, + "learning_rate": 2.1213009688792465e-06, + "loss": 0.8791, + "step": 9396 + }, + { + "epoch": 0.8, + "learning_rate": 2.1196108124199177e-06, + "loss": 0.8157, + "step": 9397 + }, + { + "epoch": 0.8, + "learning_rate": 2.1179212497272582e-06, + "loss": 0.8434, + "step": 9398 + }, + { + "epoch": 0.8, + "learning_rate": 2.116232280928573e-06, + "loss": 0.8455, + "step": 9399 + }, + { + "epoch": 0.8, + "learning_rate": 2.1145439061511196e-06, + "loss": 0.875, + "step": 9400 + }, + { + "epoch": 0.8, + "learning_rate": 2.1128561255221138e-06, + "loss": 0.8605, + "step": 9401 + }, + { + "epoch": 0.8, + "learning_rate": 2.111168939168725e-06, + "loss": 0.839, + "step": 9402 + }, + { + "epoch": 0.8, + "learning_rate": 2.109482347218079e-06, + "loss": 0.509, + "step": 9403 + }, + { + "epoch": 0.8, + "learning_rate": 2.1077963497972555e-06, + "loss": 0.8174, + "step": 9404 + }, + { + "epoch": 0.8, + "learning_rate": 2.106110947033291e-06, + "loss": 0.8351, + "step": 9405 + }, + { + "epoch": 0.8, + "learning_rate": 2.104426139053174e-06, + "loss": 0.8621, + "step": 9406 + }, + { + "epoch": 0.8, + "learning_rate": 2.102741925983851e-06, + "loss": 0.4999, + "step": 9407 + }, + { + "epoch": 0.8, + "learning_rate": 2.1010583079522253e-06, + "loss": 0.8654, + "step": 9408 + }, + { + "epoch": 0.8, + "learning_rate": 2.09937528508515e-06, + "loss": 0.8187, + "step": 9409 + }, + { + "epoch": 0.8, + "learning_rate": 2.097692857509439e-06, + "loss": 0.8669, + "step": 9410 + }, + { + "epoch": 0.8, + "learning_rate": 2.0960110253518596e-06, + "loss": 0.8517, + "step": 9411 + }, + { + "epoch": 0.8, + "learning_rate": 2.094329788739127e-06, + "loss": 0.8115, + "step": 9412 + }, + { + "epoch": 0.8, + "learning_rate": 2.0926491477979272e-06, + "loss": 0.5687, + "step": 9413 + }, + { + "epoch": 0.8, + "learning_rate": 2.090969102654883e-06, + "loss": 0.896, + "step": 9414 + }, + { + "epoch": 0.8, + "learning_rate": 2.08928965343659e-06, + "loss": 0.8234, + "step": 9415 + }, + { + "epoch": 0.8, + "learning_rate": 2.0876108002695817e-06, + "loss": 0.8404, + "step": 9416 + }, + { + "epoch": 0.8, + "learning_rate": 2.0859325432803647e-06, + "loss": 0.8409, + "step": 9417 + }, + { + "epoch": 0.8, + "learning_rate": 2.0842548825953813e-06, + "loss": 0.5021, + "step": 9418 + }, + { + "epoch": 0.8, + "learning_rate": 2.0825778183410485e-06, + "loss": 0.8618, + "step": 9419 + }, + { + "epoch": 0.8, + "learning_rate": 2.080901350643719e-06, + "loss": 0.8386, + "step": 9420 + }, + { + "epoch": 0.8, + "learning_rate": 2.0792254796297175e-06, + "loss": 0.859, + "step": 9421 + }, + { + "epoch": 0.8, + "learning_rate": 2.077550205425317e-06, + "loss": 0.8684, + "step": 9422 + }, + { + "epoch": 0.8, + "learning_rate": 2.0758755281567376e-06, + "loss": 0.8906, + "step": 9423 + }, + { + "epoch": 0.8, + "learning_rate": 2.0742014479501717e-06, + "loss": 0.8334, + "step": 9424 + }, + { + "epoch": 0.8, + "learning_rate": 2.0725279649317463e-06, + "loss": 0.8035, + "step": 9425 + }, + { + "epoch": 0.8, + "learning_rate": 2.070855079227565e-06, + "loss": 0.8368, + "step": 9426 + }, + { + "epoch": 0.8, + "learning_rate": 2.069182790963663e-06, + "loss": 0.8792, + "step": 9427 + }, + { + "epoch": 0.8, + "learning_rate": 2.0675111002660566e-06, + "loss": 0.8766, + "step": 9428 + }, + { + "epoch": 0.8, + "learning_rate": 2.06584000726069e-06, + "loss": 0.8713, + "step": 9429 + }, + { + "epoch": 0.8, + "learning_rate": 2.064169512073486e-06, + "loss": 0.8466, + "step": 9430 + }, + { + "epoch": 0.8, + "learning_rate": 2.0624996148303043e-06, + "loss": 0.8469, + "step": 9431 + }, + { + "epoch": 0.8, + "learning_rate": 2.0608303156569763e-06, + "loss": 0.8837, + "step": 9432 + }, + { + "epoch": 0.8, + "learning_rate": 2.0591616146792705e-06, + "loss": 0.8625, + "step": 9433 + }, + { + "epoch": 0.8, + "learning_rate": 2.0574935120229224e-06, + "loss": 0.9153, + "step": 9434 + }, + { + "epoch": 0.8, + "learning_rate": 2.0558260078136203e-06, + "loss": 0.8836, + "step": 9435 + }, + { + "epoch": 0.8, + "learning_rate": 2.0541591021770047e-06, + "loss": 0.8764, + "step": 9436 + }, + { + "epoch": 0.8, + "learning_rate": 2.052492795238673e-06, + "loss": 0.8755, + "step": 9437 + }, + { + "epoch": 0.8, + "learning_rate": 2.0508270871241776e-06, + "loss": 0.7868, + "step": 9438 + }, + { + "epoch": 0.8, + "learning_rate": 2.0491619779590245e-06, + "loss": 0.8798, + "step": 9439 + }, + { + "epoch": 0.8, + "learning_rate": 2.0474974678686764e-06, + "loss": 0.894, + "step": 9440 + }, + { + "epoch": 0.8, + "learning_rate": 2.0458335569785493e-06, + "loss": 0.8485, + "step": 9441 + }, + { + "epoch": 0.8, + "learning_rate": 2.0441702454140134e-06, + "loss": 0.8534, + "step": 9442 + }, + { + "epoch": 0.8, + "learning_rate": 2.042507533300395e-06, + "loss": 0.8321, + "step": 9443 + }, + { + "epoch": 0.8, + "learning_rate": 2.040845420762978e-06, + "loss": 0.9121, + "step": 9444 + }, + { + "epoch": 0.8, + "learning_rate": 2.039183907926995e-06, + "loss": 0.8532, + "step": 9445 + }, + { + "epoch": 0.8, + "learning_rate": 2.0375229949176367e-06, + "loss": 0.8362, + "step": 9446 + }, + { + "epoch": 0.8, + "learning_rate": 2.0358626818600513e-06, + "loss": 0.8616, + "step": 9447 + }, + { + "epoch": 0.8, + "learning_rate": 2.0342029688793364e-06, + "loss": 0.8565, + "step": 9448 + }, + { + "epoch": 0.8, + "learning_rate": 2.032543856100548e-06, + "loss": 0.864, + "step": 9449 + }, + { + "epoch": 0.8, + "learning_rate": 2.0308853436486953e-06, + "loss": 0.8275, + "step": 9450 + }, + { + "epoch": 0.8, + "learning_rate": 2.0292274316487447e-06, + "loss": 0.8608, + "step": 9451 + }, + { + "epoch": 0.8, + "learning_rate": 2.027570120225614e-06, + "loss": 0.866, + "step": 9452 + }, + { + "epoch": 0.8, + "learning_rate": 2.0259134095041788e-06, + "loss": 0.8945, + "step": 9453 + }, + { + "epoch": 0.8, + "learning_rate": 2.0242572996092624e-06, + "loss": 0.8515, + "step": 9454 + }, + { + "epoch": 0.8, + "learning_rate": 2.0226017906656568e-06, + "loss": 0.8664, + "step": 9455 + }, + { + "epoch": 0.8, + "learning_rate": 2.0209468827980914e-06, + "loss": 0.8429, + "step": 9456 + }, + { + "epoch": 0.8, + "learning_rate": 2.01929257613127e-06, + "loss": 0.8364, + "step": 9457 + }, + { + "epoch": 0.8, + "learning_rate": 2.0176388707898274e-06, + "loss": 0.867, + "step": 9458 + }, + { + "epoch": 0.8, + "learning_rate": 2.0159857668983785e-06, + "loss": 0.8846, + "step": 9459 + }, + { + "epoch": 0.8, + "learning_rate": 2.0143332645814685e-06, + "loss": 0.8683, + "step": 9460 + }, + { + "epoch": 0.8, + "learning_rate": 2.012681363963621e-06, + "loss": 0.7971, + "step": 9461 + }, + { + "epoch": 0.8, + "learning_rate": 2.0110300651692905e-06, + "loss": 0.8498, + "step": 9462 + }, + { + "epoch": 0.8, + "learning_rate": 2.00937936832291e-06, + "loss": 0.8364, + "step": 9463 + }, + { + "epoch": 0.8, + "learning_rate": 2.0077292735488465e-06, + "loss": 0.8108, + "step": 9464 + }, + { + "epoch": 0.8, + "learning_rate": 2.0060797809714296e-06, + "loss": 0.9041, + "step": 9465 + }, + { + "epoch": 0.8, + "learning_rate": 2.0044308907149533e-06, + "loss": 0.8422, + "step": 9466 + }, + { + "epoch": 0.8, + "learning_rate": 2.002782602903647e-06, + "loss": 0.8547, + "step": 9467 + }, + { + "epoch": 0.8, + "learning_rate": 2.0011349176617133e-06, + "loss": 0.8261, + "step": 9468 + }, + { + "epoch": 0.8, + "learning_rate": 1.9994878351132916e-06, + "loss": 0.8124, + "step": 9469 + }, + { + "epoch": 0.8, + "learning_rate": 1.997841355382497e-06, + "loss": 0.9139, + "step": 9470 + }, + { + "epoch": 0.8, + "learning_rate": 1.9961954785933758e-06, + "loss": 0.8339, + "step": 9471 + }, + { + "epoch": 0.8, + "learning_rate": 1.9945502048699504e-06, + "loss": 0.53, + "step": 9472 + }, + { + "epoch": 0.8, + "learning_rate": 1.992905534336178e-06, + "loss": 0.8135, + "step": 9473 + }, + { + "epoch": 0.8, + "learning_rate": 1.9912614671159914e-06, + "loss": 0.8413, + "step": 9474 + }, + { + "epoch": 0.8, + "learning_rate": 1.989618003333258e-06, + "loss": 0.8989, + "step": 9475 + }, + { + "epoch": 0.8, + "learning_rate": 1.98797514311181e-06, + "loss": 0.8598, + "step": 9476 + }, + { + "epoch": 0.8, + "learning_rate": 1.986332886575435e-06, + "loss": 0.8326, + "step": 9477 + }, + { + "epoch": 0.8, + "learning_rate": 1.984691233847872e-06, + "loss": 0.8229, + "step": 9478 + }, + { + "epoch": 0.8, + "learning_rate": 1.983050185052815e-06, + "loss": 0.8173, + "step": 9479 + }, + { + "epoch": 0.8, + "learning_rate": 1.981409740313912e-06, + "loss": 0.84, + "step": 9480 + }, + { + "epoch": 0.8, + "learning_rate": 1.9797698997547663e-06, + "loss": 0.8333, + "step": 9481 + }, + { + "epoch": 0.8, + "learning_rate": 1.9781306634989373e-06, + "loss": 0.5035, + "step": 9482 + }, + { + "epoch": 0.8, + "learning_rate": 1.9764920316699353e-06, + "loss": 0.8391, + "step": 9483 + }, + { + "epoch": 0.8, + "learning_rate": 1.974854004391228e-06, + "loss": 0.8565, + "step": 9484 + }, + { + "epoch": 0.8, + "learning_rate": 1.973216581786235e-06, + "loss": 0.8283, + "step": 9485 + }, + { + "epoch": 0.8, + "learning_rate": 1.971579763978333e-06, + "loss": 0.8439, + "step": 9486 + }, + { + "epoch": 0.8, + "learning_rate": 1.969943551090853e-06, + "loss": 0.8625, + "step": 9487 + }, + { + "epoch": 0.8, + "learning_rate": 1.9683079432470774e-06, + "loss": 0.8956, + "step": 9488 + }, + { + "epoch": 0.8, + "learning_rate": 1.9666729405702457e-06, + "loss": 0.8591, + "step": 9489 + }, + { + "epoch": 0.8, + "learning_rate": 1.9650385431835508e-06, + "loss": 0.8855, + "step": 9490 + }, + { + "epoch": 0.8, + "learning_rate": 1.9634047512101405e-06, + "loss": 0.8292, + "step": 9491 + }, + { + "epoch": 0.8, + "learning_rate": 1.9617715647731172e-06, + "loss": 0.8149, + "step": 9492 + }, + { + "epoch": 0.8, + "learning_rate": 1.9601389839955366e-06, + "loss": 0.812, + "step": 9493 + }, + { + "epoch": 0.8, + "learning_rate": 1.958507009000409e-06, + "loss": 0.8283, + "step": 9494 + }, + { + "epoch": 0.8, + "learning_rate": 1.9568756399107037e-06, + "loss": 0.8428, + "step": 9495 + }, + { + "epoch": 0.8, + "learning_rate": 1.9552448768493293e-06, + "loss": 0.8621, + "step": 9496 + }, + { + "epoch": 0.8, + "learning_rate": 1.953614719939173e-06, + "loss": 0.795, + "step": 9497 + }, + { + "epoch": 0.8, + "learning_rate": 1.951985169303051e-06, + "loss": 0.8619, + "step": 9498 + }, + { + "epoch": 0.81, + "learning_rate": 1.9503562250637574e-06, + "loss": 0.8855, + "step": 9499 + }, + { + "epoch": 0.81, + "learning_rate": 1.948727887344016e-06, + "loss": 0.8822, + "step": 9500 + }, + { + "epoch": 0.81, + "learning_rate": 1.9471001562665305e-06, + "loss": 0.8287, + "step": 9501 + }, + { + "epoch": 0.81, + "learning_rate": 1.945473031953934e-06, + "loss": 0.8771, + "step": 9502 + }, + { + "epoch": 0.81, + "learning_rate": 1.9438465145288377e-06, + "loss": 0.8688, + "step": 9503 + }, + { + "epoch": 0.81, + "learning_rate": 1.942220604113785e-06, + "loss": 0.8604, + "step": 9504 + }, + { + "epoch": 0.81, + "learning_rate": 1.940595300831294e-06, + "loss": 0.7908, + "step": 9505 + }, + { + "epoch": 0.81, + "learning_rate": 1.9389706048038183e-06, + "loss": 0.8128, + "step": 9506 + }, + { + "epoch": 0.81, + "learning_rate": 1.9373465161537787e-06, + "loss": 0.7951, + "step": 9507 + }, + { + "epoch": 0.81, + "learning_rate": 1.935723035003545e-06, + "loss": 0.8588, + "step": 9508 + }, + { + "epoch": 0.81, + "learning_rate": 1.9341001614754407e-06, + "loss": 0.8754, + "step": 9509 + }, + { + "epoch": 0.81, + "learning_rate": 1.932477895691751e-06, + "loss": 0.8378, + "step": 9510 + }, + { + "epoch": 0.81, + "learning_rate": 1.930856237774701e-06, + "loss": 0.861, + "step": 9511 + }, + { + "epoch": 0.81, + "learning_rate": 1.929235187846488e-06, + "loss": 0.8773, + "step": 9512 + }, + { + "epoch": 0.81, + "learning_rate": 1.9276147460292437e-06, + "loss": 0.8569, + "step": 9513 + }, + { + "epoch": 0.81, + "learning_rate": 1.9259949124450726e-06, + "loss": 0.8309, + "step": 9514 + }, + { + "epoch": 0.81, + "learning_rate": 1.924375687216018e-06, + "loss": 0.874, + "step": 9515 + }, + { + "epoch": 0.81, + "learning_rate": 1.922757070464092e-06, + "loss": 0.8752, + "step": 9516 + }, + { + "epoch": 0.81, + "learning_rate": 1.921139062311246e-06, + "loss": 0.8245, + "step": 9517 + }, + { + "epoch": 0.81, + "learning_rate": 1.9195216628793956e-06, + "loss": 0.8721, + "step": 9518 + }, + { + "epoch": 0.81, + "learning_rate": 1.917904872290407e-06, + "loss": 0.8431, + "step": 9519 + }, + { + "epoch": 0.81, + "learning_rate": 1.9162886906661025e-06, + "loss": 0.8614, + "step": 9520 + }, + { + "epoch": 0.81, + "learning_rate": 1.9146731181282554e-06, + "loss": 0.8383, + "step": 9521 + }, + { + "epoch": 0.81, + "learning_rate": 1.913058154798596e-06, + "loss": 0.8392, + "step": 9522 + }, + { + "epoch": 0.81, + "learning_rate": 1.911443800798808e-06, + "loss": 0.7985, + "step": 9523 + }, + { + "epoch": 0.81, + "learning_rate": 1.9098300562505266e-06, + "loss": 0.8492, + "step": 9524 + }, + { + "epoch": 0.81, + "learning_rate": 1.9082169212753455e-06, + "loss": 0.9, + "step": 9525 + }, + { + "epoch": 0.81, + "learning_rate": 1.906604395994809e-06, + "loss": 0.8145, + "step": 9526 + }, + { + "epoch": 0.81, + "learning_rate": 1.9049924805304165e-06, + "loss": 0.8999, + "step": 9527 + }, + { + "epoch": 0.81, + "learning_rate": 1.9033811750036224e-06, + "loss": 0.8869, + "step": 9528 + }, + { + "epoch": 0.81, + "learning_rate": 1.9017704795358338e-06, + "loss": 0.8258, + "step": 9529 + }, + { + "epoch": 0.81, + "learning_rate": 1.9001603942484127e-06, + "loss": 0.8828, + "step": 9530 + }, + { + "epoch": 0.81, + "learning_rate": 1.8985509192626739e-06, + "loss": 0.8337, + "step": 9531 + }, + { + "epoch": 0.81, + "learning_rate": 1.8969420546998896e-06, + "loss": 0.8946, + "step": 9532 + }, + { + "epoch": 0.81, + "learning_rate": 1.8953338006812805e-06, + "loss": 0.886, + "step": 9533 + }, + { + "epoch": 0.81, + "learning_rate": 1.8937261573280252e-06, + "loss": 0.8814, + "step": 9534 + }, + { + "epoch": 0.81, + "learning_rate": 1.8921191247612569e-06, + "loss": 0.7935, + "step": 9535 + }, + { + "epoch": 0.81, + "learning_rate": 1.8905127031020598e-06, + "loss": 0.7945, + "step": 9536 + }, + { + "epoch": 0.81, + "learning_rate": 1.888906892471477e-06, + "loss": 0.7944, + "step": 9537 + }, + { + "epoch": 0.81, + "learning_rate": 1.8873016929904942e-06, + "loss": 0.8757, + "step": 9538 + }, + { + "epoch": 0.81, + "learning_rate": 1.8856971047800687e-06, + "loss": 0.8338, + "step": 9539 + }, + { + "epoch": 0.81, + "learning_rate": 1.884093127961092e-06, + "loss": 0.8629, + "step": 9540 + }, + { + "epoch": 0.81, + "learning_rate": 1.8824897626544292e-06, + "loss": 0.8349, + "step": 9541 + }, + { + "epoch": 0.81, + "learning_rate": 1.8808870089808806e-06, + "loss": 0.8209, + "step": 9542 + }, + { + "epoch": 0.81, + "learning_rate": 1.8792848670612195e-06, + "loss": 0.8923, + "step": 9543 + }, + { + "epoch": 0.81, + "learning_rate": 1.877683337016153e-06, + "loss": 0.8687, + "step": 9544 + }, + { + "epoch": 0.81, + "learning_rate": 1.8760824189663618e-06, + "loss": 0.8423, + "step": 9545 + }, + { + "epoch": 0.81, + "learning_rate": 1.8744821130324609e-06, + "loss": 0.861, + "step": 9546 + }, + { + "epoch": 0.81, + "learning_rate": 1.8728824193350381e-06, + "loss": 0.8325, + "step": 9547 + }, + { + "epoch": 0.81, + "learning_rate": 1.8712833379946217e-06, + "loss": 0.864, + "step": 9548 + }, + { + "epoch": 0.81, + "learning_rate": 1.869684869131697e-06, + "loss": 0.8253, + "step": 9549 + }, + { + "epoch": 0.81, + "learning_rate": 1.8680870128667073e-06, + "loss": 0.8774, + "step": 9550 + }, + { + "epoch": 0.81, + "learning_rate": 1.8664897693200456e-06, + "loss": 0.8617, + "step": 9551 + }, + { + "epoch": 0.81, + "learning_rate": 1.8648931386120605e-06, + "loss": 0.8539, + "step": 9552 + }, + { + "epoch": 0.81, + "learning_rate": 1.8632971208630513e-06, + "loss": 0.8793, + "step": 9553 + }, + { + "epoch": 0.81, + "learning_rate": 1.8617017161932815e-06, + "loss": 0.8421, + "step": 9554 + }, + { + "epoch": 0.81, + "learning_rate": 1.8601069247229497e-06, + "loss": 0.8415, + "step": 9555 + }, + { + "epoch": 0.81, + "learning_rate": 1.8585127465722308e-06, + "loss": 0.8419, + "step": 9556 + }, + { + "epoch": 0.81, + "learning_rate": 1.8569191818612298e-06, + "loss": 0.8223, + "step": 9557 + }, + { + "epoch": 0.81, + "learning_rate": 1.8553262307100295e-06, + "loss": 0.8518, + "step": 9558 + }, + { + "epoch": 0.81, + "learning_rate": 1.8537338932386462e-06, + "loss": 0.8428, + "step": 9559 + }, + { + "epoch": 0.81, + "learning_rate": 1.8521421695670617e-06, + "loss": 0.8377, + "step": 9560 + }, + { + "epoch": 0.81, + "learning_rate": 1.8505510598152077e-06, + "loss": 0.8402, + "step": 9561 + }, + { + "epoch": 0.81, + "learning_rate": 1.8489605641029694e-06, + "loss": 0.8336, + "step": 9562 + }, + { + "epoch": 0.81, + "learning_rate": 1.847370682550187e-06, + "loss": 0.8778, + "step": 9563 + }, + { + "epoch": 0.81, + "learning_rate": 1.8457814152766551e-06, + "loss": 0.8795, + "step": 9564 + }, + { + "epoch": 0.81, + "learning_rate": 1.8441927624021194e-06, + "loss": 0.8554, + "step": 9565 + }, + { + "epoch": 0.81, + "learning_rate": 1.8426047240462807e-06, + "loss": 0.8859, + "step": 9566 + }, + { + "epoch": 0.81, + "learning_rate": 1.8410173003287935e-06, + "loss": 0.896, + "step": 9567 + }, + { + "epoch": 0.81, + "learning_rate": 1.8394304913692673e-06, + "loss": 0.8334, + "step": 9568 + }, + { + "epoch": 0.81, + "learning_rate": 1.8378442972872635e-06, + "loss": 0.843, + "step": 9569 + }, + { + "epoch": 0.81, + "learning_rate": 1.836258718202296e-06, + "loss": 0.838, + "step": 9570 + }, + { + "epoch": 0.81, + "learning_rate": 1.8346737542338366e-06, + "loss": 0.8427, + "step": 9571 + }, + { + "epoch": 0.81, + "learning_rate": 1.833089405501307e-06, + "loss": 0.4789, + "step": 9572 + }, + { + "epoch": 0.81, + "learning_rate": 1.8315056721240831e-06, + "loss": 0.8755, + "step": 9573 + }, + { + "epoch": 0.81, + "learning_rate": 1.829922554221496e-06, + "loss": 0.8486, + "step": 9574 + }, + { + "epoch": 0.81, + "learning_rate": 1.828340051912828e-06, + "loss": 0.8588, + "step": 9575 + }, + { + "epoch": 0.81, + "learning_rate": 1.8267581653173195e-06, + "loss": 0.8399, + "step": 9576 + }, + { + "epoch": 0.81, + "learning_rate": 1.8251768945541581e-06, + "loss": 0.8336, + "step": 9577 + }, + { + "epoch": 0.81, + "learning_rate": 1.82359623974249e-06, + "loss": 0.8846, + "step": 9578 + }, + { + "epoch": 0.81, + "learning_rate": 1.8220162010014163e-06, + "loss": 0.8214, + "step": 9579 + }, + { + "epoch": 0.81, + "learning_rate": 1.820436778449981e-06, + "loss": 0.8678, + "step": 9580 + }, + { + "epoch": 0.81, + "learning_rate": 1.8188579722071985e-06, + "loss": 0.8739, + "step": 9581 + }, + { + "epoch": 0.81, + "learning_rate": 1.8172797823920196e-06, + "loss": 0.8624, + "step": 9582 + }, + { + "epoch": 0.81, + "learning_rate": 1.8157022091233645e-06, + "loss": 0.8686, + "step": 9583 + }, + { + "epoch": 0.81, + "learning_rate": 1.8141252525200914e-06, + "loss": 0.8658, + "step": 9584 + }, + { + "epoch": 0.81, + "learning_rate": 1.8125489127010275e-06, + "loss": 0.8215, + "step": 9585 + }, + { + "epoch": 0.81, + "learning_rate": 1.8109731897849382e-06, + "loss": 0.8356, + "step": 9586 + }, + { + "epoch": 0.81, + "learning_rate": 1.809398083890559e-06, + "loss": 0.8473, + "step": 9587 + }, + { + "epoch": 0.81, + "learning_rate": 1.8078235951365597e-06, + "loss": 0.8668, + "step": 9588 + }, + { + "epoch": 0.81, + "learning_rate": 1.8062497236415832e-06, + "loss": 0.8972, + "step": 9589 + }, + { + "epoch": 0.81, + "learning_rate": 1.8046764695242115e-06, + "loss": 0.8298, + "step": 9590 + }, + { + "epoch": 0.81, + "learning_rate": 1.803103832902986e-06, + "loss": 0.882, + "step": 9591 + }, + { + "epoch": 0.81, + "learning_rate": 1.8015318138964011e-06, + "loss": 0.8668, + "step": 9592 + }, + { + "epoch": 0.81, + "learning_rate": 1.7999604126229043e-06, + "loss": 0.8708, + "step": 9593 + }, + { + "epoch": 0.81, + "learning_rate": 1.7983896292008963e-06, + "loss": 0.8798, + "step": 9594 + }, + { + "epoch": 0.81, + "learning_rate": 1.7968194637487323e-06, + "loss": 0.8437, + "step": 9595 + }, + { + "epoch": 0.81, + "learning_rate": 1.7952499163847192e-06, + "loss": 0.8665, + "step": 9596 + }, + { + "epoch": 0.81, + "learning_rate": 1.7936809872271167e-06, + "loss": 0.8731, + "step": 9597 + }, + { + "epoch": 0.81, + "learning_rate": 1.7921126763941454e-06, + "loss": 0.8743, + "step": 9598 + }, + { + "epoch": 0.81, + "learning_rate": 1.7905449840039645e-06, + "loss": 0.8744, + "step": 9599 + }, + { + "epoch": 0.81, + "learning_rate": 1.7889779101747063e-06, + "loss": 0.828, + "step": 9600 + }, + { + "epoch": 0.81, + "learning_rate": 1.7874114550244381e-06, + "loss": 0.8393, + "step": 9601 + }, + { + "epoch": 0.81, + "learning_rate": 1.785845618671188e-06, + "loss": 0.8089, + "step": 9602 + }, + { + "epoch": 0.81, + "learning_rate": 1.7842804012329419e-06, + "loss": 0.8795, + "step": 9603 + }, + { + "epoch": 0.81, + "learning_rate": 1.7827158028276315e-06, + "loss": 0.8836, + "step": 9604 + }, + { + "epoch": 0.81, + "learning_rate": 1.7811518235731461e-06, + "loss": 0.8597, + "step": 9605 + }, + { + "epoch": 0.81, + "learning_rate": 1.7795884635873272e-06, + "loss": 0.8377, + "step": 9606 + }, + { + "epoch": 0.81, + "learning_rate": 1.7780257229879717e-06, + "loss": 0.8706, + "step": 9607 + }, + { + "epoch": 0.81, + "learning_rate": 1.7764636018928249e-06, + "loss": 0.8305, + "step": 9608 + }, + { + "epoch": 0.81, + "learning_rate": 1.774902100419591e-06, + "loss": 0.8369, + "step": 9609 + }, + { + "epoch": 0.81, + "learning_rate": 1.7733412186859244e-06, + "loss": 0.8204, + "step": 9610 + }, + { + "epoch": 0.81, + "learning_rate": 1.7717809568094334e-06, + "loss": 0.9114, + "step": 9611 + }, + { + "epoch": 0.81, + "learning_rate": 1.7702213149076797e-06, + "loss": 0.8272, + "step": 9612 + }, + { + "epoch": 0.81, + "learning_rate": 1.768662293098178e-06, + "loss": 0.8264, + "step": 9613 + }, + { + "epoch": 0.81, + "learning_rate": 1.7671038914983963e-06, + "loss": 0.5097, + "step": 9614 + }, + { + "epoch": 0.81, + "learning_rate": 1.7655461102257566e-06, + "loss": 0.8695, + "step": 9615 + }, + { + "epoch": 0.81, + "learning_rate": 1.7639889493976337e-06, + "loss": 0.8614, + "step": 9616 + }, + { + "epoch": 0.82, + "learning_rate": 1.762432409131355e-06, + "loss": 0.854, + "step": 9617 + }, + { + "epoch": 0.82, + "learning_rate": 1.760876489544202e-06, + "loss": 0.8877, + "step": 9618 + }, + { + "epoch": 0.82, + "learning_rate": 1.7593211907534092e-06, + "loss": 0.8903, + "step": 9619 + }, + { + "epoch": 0.82, + "learning_rate": 1.7577665128761645e-06, + "loss": 0.8883, + "step": 9620 + }, + { + "epoch": 0.82, + "learning_rate": 1.7562124560296113e-06, + "loss": 0.8685, + "step": 9621 + }, + { + "epoch": 0.82, + "learning_rate": 1.7546590203308355e-06, + "loss": 0.8548, + "step": 9622 + }, + { + "epoch": 0.82, + "learning_rate": 1.753106205896895e-06, + "loss": 0.8779, + "step": 9623 + }, + { + "epoch": 0.82, + "learning_rate": 1.7515540128447793e-06, + "loss": 0.909, + "step": 9624 + }, + { + "epoch": 0.82, + "learning_rate": 1.7500024412914541e-06, + "loss": 0.8992, + "step": 9625 + }, + { + "epoch": 0.82, + "learning_rate": 1.7484514913538154e-06, + "loss": 0.8049, + "step": 9626 + }, + { + "epoch": 0.82, + "learning_rate": 1.746901163148732e-06, + "loss": 0.8334, + "step": 9627 + }, + { + "epoch": 0.82, + "learning_rate": 1.7453514567930085e-06, + "loss": 0.8688, + "step": 9628 + }, + { + "epoch": 0.82, + "learning_rate": 1.7438023724034215e-06, + "loss": 0.8598, + "step": 9629 + }, + { + "epoch": 0.82, + "learning_rate": 1.7422539100966784e-06, + "loss": 0.8709, + "step": 9630 + }, + { + "epoch": 0.82, + "learning_rate": 1.740706069989464e-06, + "loss": 0.8536, + "step": 9631 + }, + { + "epoch": 0.82, + "learning_rate": 1.7391588521983948e-06, + "loss": 0.8308, + "step": 9632 + }, + { + "epoch": 0.82, + "learning_rate": 1.7376122568400533e-06, + "loss": 0.8503, + "step": 9633 + }, + { + "epoch": 0.82, + "learning_rate": 1.7360662840309706e-06, + "loss": 0.8172, + "step": 9634 + }, + { + "epoch": 0.82, + "learning_rate": 1.7345209338876324e-06, + "loss": 0.8343, + "step": 9635 + }, + { + "epoch": 0.82, + "learning_rate": 1.7329762065264755e-06, + "loss": 0.8539, + "step": 9636 + }, + { + "epoch": 0.82, + "learning_rate": 1.7314321020638924e-06, + "loss": 0.8702, + "step": 9637 + }, + { + "epoch": 0.82, + "learning_rate": 1.729888620616228e-06, + "loss": 0.8471, + "step": 9638 + }, + { + "epoch": 0.82, + "learning_rate": 1.728345762299778e-06, + "loss": 0.8612, + "step": 9639 + }, + { + "epoch": 0.82, + "learning_rate": 1.7268035272307927e-06, + "loss": 0.8515, + "step": 9640 + }, + { + "epoch": 0.82, + "learning_rate": 1.7252619155254734e-06, + "loss": 0.9087, + "step": 9641 + }, + { + "epoch": 0.82, + "learning_rate": 1.7237209272999845e-06, + "loss": 0.8585, + "step": 9642 + }, + { + "epoch": 0.82, + "learning_rate": 1.722180562670428e-06, + "loss": 0.8795, + "step": 9643 + }, + { + "epoch": 0.82, + "learning_rate": 1.7206408217528669e-06, + "loss": 0.8386, + "step": 9644 + }, + { + "epoch": 0.82, + "learning_rate": 1.7191017046633196e-06, + "loss": 0.8605, + "step": 9645 + }, + { + "epoch": 0.82, + "learning_rate": 1.717563211517752e-06, + "loss": 0.8376, + "step": 9646 + }, + { + "epoch": 0.82, + "learning_rate": 1.7160253424320872e-06, + "loss": 0.8451, + "step": 9647 + }, + { + "epoch": 0.82, + "learning_rate": 1.714488097522199e-06, + "loss": 0.8757, + "step": 9648 + }, + { + "epoch": 0.82, + "learning_rate": 1.7129514769039147e-06, + "loss": 0.8621, + "step": 9649 + }, + { + "epoch": 0.82, + "learning_rate": 1.7114154806930138e-06, + "loss": 0.86, + "step": 9650 + }, + { + "epoch": 0.82, + "learning_rate": 1.709880109005232e-06, + "loss": 0.8292, + "step": 9651 + }, + { + "epoch": 0.82, + "learning_rate": 1.708345361956255e-06, + "loss": 0.8691, + "step": 9652 + }, + { + "epoch": 0.82, + "learning_rate": 1.7068112396617164e-06, + "loss": 0.7977, + "step": 9653 + }, + { + "epoch": 0.82, + "learning_rate": 1.7052777422372158e-06, + "loss": 0.8599, + "step": 9654 + }, + { + "epoch": 0.82, + "learning_rate": 1.703744869798295e-06, + "loss": 0.9008, + "step": 9655 + }, + { + "epoch": 0.82, + "learning_rate": 1.7022126224604529e-06, + "loss": 0.7973, + "step": 9656 + }, + { + "epoch": 0.82, + "learning_rate": 1.7006810003391382e-06, + "loss": 0.8901, + "step": 9657 + }, + { + "epoch": 0.82, + "learning_rate": 1.6991500035497576e-06, + "loss": 0.838, + "step": 9658 + }, + { + "epoch": 0.82, + "learning_rate": 1.6976196322076655e-06, + "loss": 0.8715, + "step": 9659 + }, + { + "epoch": 0.82, + "learning_rate": 1.6960898864281717e-06, + "loss": 0.7712, + "step": 9660 + }, + { + "epoch": 0.82, + "learning_rate": 1.6945607663265384e-06, + "loss": 0.4822, + "step": 9661 + }, + { + "epoch": 0.82, + "learning_rate": 1.6930322720179816e-06, + "loss": 0.8609, + "step": 9662 + }, + { + "epoch": 0.82, + "learning_rate": 1.6915044036176719e-06, + "loss": 0.8609, + "step": 9663 + }, + { + "epoch": 0.82, + "learning_rate": 1.6899771612407223e-06, + "loss": 0.5878, + "step": 9664 + }, + { + "epoch": 0.82, + "learning_rate": 1.688450545002216e-06, + "loss": 0.7945, + "step": 9665 + }, + { + "epoch": 0.82, + "learning_rate": 1.6869245550171697e-06, + "loss": 0.7928, + "step": 9666 + }, + { + "epoch": 0.82, + "learning_rate": 1.685399191400573e-06, + "loss": 0.8616, + "step": 9667 + }, + { + "epoch": 0.82, + "learning_rate": 1.6838744542673492e-06, + "loss": 0.8431, + "step": 9668 + }, + { + "epoch": 0.82, + "learning_rate": 1.6823503437323908e-06, + "loss": 0.8642, + "step": 9669 + }, + { + "epoch": 0.82, + "learning_rate": 1.6808268599105282e-06, + "loss": 0.8817, + "step": 9670 + }, + { + "epoch": 0.82, + "learning_rate": 1.6793040029165596e-06, + "loss": 0.8204, + "step": 9671 + }, + { + "epoch": 0.82, + "learning_rate": 1.677781772865219e-06, + "loss": 0.8469, + "step": 9672 + }, + { + "epoch": 0.82, + "learning_rate": 1.6762601698712134e-06, + "loss": 0.845, + "step": 9673 + }, + { + "epoch": 0.82, + "learning_rate": 1.674739194049183e-06, + "loss": 0.8585, + "step": 9674 + }, + { + "epoch": 0.82, + "learning_rate": 1.6732188455137322e-06, + "loss": 0.5372, + "step": 9675 + }, + { + "epoch": 0.82, + "learning_rate": 1.6716991243794157e-06, + "loss": 0.8688, + "step": 9676 + }, + { + "epoch": 0.82, + "learning_rate": 1.6701800307607397e-06, + "loss": 0.8477, + "step": 9677 + }, + { + "epoch": 0.82, + "learning_rate": 1.6686615647721638e-06, + "loss": 0.8216, + "step": 9678 + }, + { + "epoch": 0.82, + "learning_rate": 1.667143726528102e-06, + "loss": 0.8726, + "step": 9679 + }, + { + "epoch": 0.82, + "learning_rate": 1.6656265161429186e-06, + "loss": 0.5227, + "step": 9680 + }, + { + "epoch": 0.82, + "learning_rate": 1.6641099337309308e-06, + "loss": 0.8475, + "step": 9681 + }, + { + "epoch": 0.82, + "learning_rate": 1.6625939794064094e-06, + "loss": 0.8121, + "step": 9682 + }, + { + "epoch": 0.82, + "learning_rate": 1.6610786532835776e-06, + "loss": 0.8438, + "step": 9683 + }, + { + "epoch": 0.82, + "learning_rate": 1.6595639554766108e-06, + "loss": 0.9033, + "step": 9684 + }, + { + "epoch": 0.82, + "learning_rate": 1.6580498860996386e-06, + "loss": 0.8768, + "step": 9685 + }, + { + "epoch": 0.82, + "learning_rate": 1.656536445266742e-06, + "loss": 0.8238, + "step": 9686 + }, + { + "epoch": 0.82, + "learning_rate": 1.6550236330919544e-06, + "loss": 0.8227, + "step": 9687 + }, + { + "epoch": 0.82, + "learning_rate": 1.6535114496892623e-06, + "loss": 0.8613, + "step": 9688 + }, + { + "epoch": 0.82, + "learning_rate": 1.6519998951726045e-06, + "loss": 0.8163, + "step": 9689 + }, + { + "epoch": 0.82, + "learning_rate": 1.6504889696558735e-06, + "loss": 0.8228, + "step": 9690 + }, + { + "epoch": 0.82, + "learning_rate": 1.6489786732529122e-06, + "loss": 0.87, + "step": 9691 + }, + { + "epoch": 0.82, + "learning_rate": 1.6474690060775178e-06, + "loss": 0.8803, + "step": 9692 + }, + { + "epoch": 0.82, + "learning_rate": 1.6459599682434413e-06, + "loss": 0.875, + "step": 9693 + }, + { + "epoch": 0.82, + "learning_rate": 1.644451559864385e-06, + "loss": 0.8779, + "step": 9694 + }, + { + "epoch": 0.82, + "learning_rate": 1.6429437810539982e-06, + "loss": 0.8767, + "step": 9695 + }, + { + "epoch": 0.82, + "learning_rate": 1.6414366319258967e-06, + "loss": 0.8636, + "step": 9696 + }, + { + "epoch": 0.82, + "learning_rate": 1.6399301125936307e-06, + "loss": 0.8549, + "step": 9697 + }, + { + "epoch": 0.82, + "learning_rate": 1.6384242231707203e-06, + "loss": 0.8593, + "step": 9698 + }, + { + "epoch": 0.82, + "learning_rate": 1.6369189637706272e-06, + "loss": 0.8589, + "step": 9699 + }, + { + "epoch": 0.82, + "learning_rate": 1.6354143345067685e-06, + "loss": 0.8678, + "step": 9700 + }, + { + "epoch": 0.82, + "learning_rate": 1.6339103354925146e-06, + "loss": 0.5518, + "step": 9701 + }, + { + "epoch": 0.82, + "learning_rate": 1.6324069668411879e-06, + "loss": 0.8214, + "step": 9702 + }, + { + "epoch": 0.82, + "learning_rate": 1.6309042286660627e-06, + "loss": 0.8231, + "step": 9703 + }, + { + "epoch": 0.82, + "learning_rate": 1.6309042286660627e-06, + "loss": 0.8497, + "step": 9704 + }, + { + "epoch": 0.82, + "learning_rate": 1.629402121080368e-06, + "loss": 0.8217, + "step": 9705 + }, + { + "epoch": 0.82, + "learning_rate": 1.6279006441972845e-06, + "loss": 0.8398, + "step": 9706 + }, + { + "epoch": 0.82, + "learning_rate": 1.6263997981299373e-06, + "loss": 0.8582, + "step": 9707 + }, + { + "epoch": 0.82, + "learning_rate": 1.6248995829914216e-06, + "loss": 0.8236, + "step": 9708 + }, + { + "epoch": 0.82, + "learning_rate": 1.6233999988947647e-06, + "loss": 0.8729, + "step": 9709 + }, + { + "epoch": 0.82, + "learning_rate": 1.621901045952966e-06, + "loss": 0.8252, + "step": 9710 + }, + { + "epoch": 0.82, + "learning_rate": 1.6204027242789577e-06, + "loss": 0.4704, + "step": 9711 + }, + { + "epoch": 0.82, + "learning_rate": 1.6189050339856448e-06, + "loss": 0.9042, + "step": 9712 + }, + { + "epoch": 0.82, + "learning_rate": 1.617407975185865e-06, + "loss": 0.8496, + "step": 9713 + }, + { + "epoch": 0.82, + "learning_rate": 1.6159115479924259e-06, + "loss": 0.8529, + "step": 9714 + }, + { + "epoch": 0.82, + "learning_rate": 1.6144157525180715e-06, + "loss": 0.8475, + "step": 9715 + }, + { + "epoch": 0.82, + "learning_rate": 1.612920588875514e-06, + "loss": 0.83, + "step": 9716 + }, + { + "epoch": 0.82, + "learning_rate": 1.6114260571774031e-06, + "loss": 0.8117, + "step": 9717 + }, + { + "epoch": 0.82, + "learning_rate": 1.6099321575363513e-06, + "loss": 0.8936, + "step": 9718 + }, + { + "epoch": 0.82, + "learning_rate": 1.6084388900649195e-06, + "loss": 0.8264, + "step": 9719 + }, + { + "epoch": 0.82, + "learning_rate": 1.606946254875621e-06, + "loss": 0.8222, + "step": 9720 + }, + { + "epoch": 0.82, + "learning_rate": 1.6054542520809223e-06, + "loss": 0.8445, + "step": 9721 + }, + { + "epoch": 0.82, + "learning_rate": 1.603962881793243e-06, + "loss": 0.83, + "step": 9722 + }, + { + "epoch": 0.82, + "learning_rate": 1.6024721441249525e-06, + "loss": 0.8418, + "step": 9723 + }, + { + "epoch": 0.82, + "learning_rate": 1.6009820391883746e-06, + "loss": 0.839, + "step": 9724 + }, + { + "epoch": 0.82, + "learning_rate": 1.5994925670957839e-06, + "loss": 0.9072, + "step": 9725 + }, + { + "epoch": 0.82, + "learning_rate": 1.5980037279594097e-06, + "loss": 0.8543, + "step": 9726 + }, + { + "epoch": 0.82, + "learning_rate": 1.5965155218914308e-06, + "loss": 0.8443, + "step": 9727 + }, + { + "epoch": 0.82, + "learning_rate": 1.59502794900398e-06, + "loss": 0.8671, + "step": 9728 + }, + { + "epoch": 0.82, + "learning_rate": 1.593541009409143e-06, + "loss": 0.8378, + "step": 9729 + }, + { + "epoch": 0.82, + "learning_rate": 1.592054703218956e-06, + "loss": 0.825, + "step": 9730 + }, + { + "epoch": 0.82, + "learning_rate": 1.5905690305454068e-06, + "loss": 0.8714, + "step": 9731 + }, + { + "epoch": 0.82, + "learning_rate": 1.5890839915004398e-06, + "loss": 0.8681, + "step": 9732 + }, + { + "epoch": 0.82, + "learning_rate": 1.587599586195947e-06, + "loss": 0.8321, + "step": 9733 + }, + { + "epoch": 0.82, + "learning_rate": 1.5861158147437749e-06, + "loss": 0.8805, + "step": 9734 + }, + { + "epoch": 0.83, + "learning_rate": 1.584632677255723e-06, + "loss": 0.8495, + "step": 9735 + }, + { + "epoch": 0.83, + "learning_rate": 1.5831501738435384e-06, + "loss": 0.8695, + "step": 9736 + }, + { + "epoch": 0.83, + "learning_rate": 1.5816683046189296e-06, + "loss": 0.8159, + "step": 9737 + }, + { + "epoch": 0.83, + "learning_rate": 1.580187069693544e-06, + "loss": 0.8221, + "step": 9738 + }, + { + "epoch": 0.83, + "learning_rate": 1.5787064691789966e-06, + "loss": 0.8733, + "step": 9739 + }, + { + "epoch": 0.83, + "learning_rate": 1.5772265031868373e-06, + "loss": 0.8333, + "step": 9740 + }, + { + "epoch": 0.83, + "learning_rate": 1.575747171828589e-06, + "loss": 0.8915, + "step": 9741 + }, + { + "epoch": 0.83, + "learning_rate": 1.5742684752157056e-06, + "loss": 0.4775, + "step": 9742 + }, + { + "epoch": 0.83, + "learning_rate": 1.5727904134596084e-06, + "loss": 0.8496, + "step": 9743 + }, + { + "epoch": 0.83, + "learning_rate": 1.5713129866716647e-06, + "loss": 0.8202, + "step": 9744 + }, + { + "epoch": 0.83, + "learning_rate": 1.5698361949631946e-06, + "loss": 0.8509, + "step": 9745 + }, + { + "epoch": 0.83, + "learning_rate": 1.568360038445469e-06, + "loss": 0.878, + "step": 9746 + }, + { + "epoch": 0.83, + "learning_rate": 1.5668845172297143e-06, + "loss": 0.8785, + "step": 9747 + }, + { + "epoch": 0.83, + "learning_rate": 1.5654096314271093e-06, + "loss": 0.8449, + "step": 9748 + }, + { + "epoch": 0.83, + "learning_rate": 1.5639353811487744e-06, + "loss": 0.8416, + "step": 9749 + }, + { + "epoch": 0.83, + "learning_rate": 1.5624617665058005e-06, + "loss": 0.7672, + "step": 9750 + }, + { + "epoch": 0.83, + "learning_rate": 1.5609887876092122e-06, + "loss": 0.9122, + "step": 9751 + }, + { + "epoch": 0.83, + "learning_rate": 1.5595164445700028e-06, + "loss": 0.8307, + "step": 9752 + }, + { + "epoch": 0.83, + "learning_rate": 1.5580447374991003e-06, + "loss": 0.8325, + "step": 9753 + }, + { + "epoch": 0.83, + "learning_rate": 1.556573666507404e-06, + "loss": 0.8167, + "step": 9754 + }, + { + "epoch": 0.83, + "learning_rate": 1.5551032317057456e-06, + "loss": 0.8657, + "step": 9755 + }, + { + "epoch": 0.83, + "learning_rate": 1.5536334332049274e-06, + "loss": 0.8793, + "step": 9756 + }, + { + "epoch": 0.83, + "learning_rate": 1.5521642711156859e-06, + "loss": 0.8592, + "step": 9757 + }, + { + "epoch": 0.83, + "learning_rate": 1.550695745548727e-06, + "loss": 0.8887, + "step": 9758 + }, + { + "epoch": 0.83, + "learning_rate": 1.5492278566146945e-06, + "loss": 0.8841, + "step": 9759 + }, + { + "epoch": 0.83, + "learning_rate": 1.5477606044241923e-06, + "loss": 0.832, + "step": 9760 + }, + { + "epoch": 0.83, + "learning_rate": 1.5462939890877738e-06, + "loss": 0.8965, + "step": 9761 + }, + { + "epoch": 0.83, + "learning_rate": 1.5448280107159442e-06, + "loss": 0.8902, + "step": 9762 + }, + { + "epoch": 0.83, + "learning_rate": 1.5433626694191605e-06, + "loss": 0.8259, + "step": 9763 + }, + { + "epoch": 0.83, + "learning_rate": 1.5418979653078348e-06, + "loss": 0.8514, + "step": 9764 + }, + { + "epoch": 0.83, + "learning_rate": 1.540433898492326e-06, + "loss": 0.8052, + "step": 9765 + }, + { + "epoch": 0.83, + "learning_rate": 1.5389704690829488e-06, + "loss": 0.8709, + "step": 9766 + }, + { + "epoch": 0.83, + "learning_rate": 1.53750767718997e-06, + "loss": 0.8703, + "step": 9767 + }, + { + "epoch": 0.83, + "learning_rate": 1.5360455229236049e-06, + "loss": 0.4976, + "step": 9768 + }, + { + "epoch": 0.83, + "learning_rate": 1.534584006394023e-06, + "loss": 0.845, + "step": 9769 + }, + { + "epoch": 0.83, + "learning_rate": 1.533123127711349e-06, + "loss": 0.8524, + "step": 9770 + }, + { + "epoch": 0.83, + "learning_rate": 1.531662886985652e-06, + "loss": 0.8594, + "step": 9771 + }, + { + "epoch": 0.83, + "learning_rate": 1.5302032843269609e-06, + "loss": 0.8694, + "step": 9772 + }, + { + "epoch": 0.83, + "learning_rate": 1.5287443198452502e-06, + "loss": 0.466, + "step": 9773 + }, + { + "epoch": 0.83, + "learning_rate": 1.5272859936504513e-06, + "loss": 0.8735, + "step": 9774 + }, + { + "epoch": 0.83, + "learning_rate": 1.5258283058524427e-06, + "loss": 0.8454, + "step": 9775 + }, + { + "epoch": 0.83, + "learning_rate": 1.5243712565610603e-06, + "loss": 0.8572, + "step": 9776 + }, + { + "epoch": 0.83, + "learning_rate": 1.5229148458860865e-06, + "loss": 0.8877, + "step": 9777 + }, + { + "epoch": 0.83, + "learning_rate": 1.5214590739372592e-06, + "loss": 0.8713, + "step": 9778 + }, + { + "epoch": 0.83, + "learning_rate": 1.5200039408242695e-06, + "loss": 0.8383, + "step": 9779 + }, + { + "epoch": 0.83, + "learning_rate": 1.5185494466567508e-06, + "loss": 0.8547, + "step": 9780 + }, + { + "epoch": 0.83, + "learning_rate": 1.5170955915443043e-06, + "loss": 0.5358, + "step": 9781 + }, + { + "epoch": 0.83, + "learning_rate": 1.5156423755964645e-06, + "loss": 0.8545, + "step": 9782 + }, + { + "epoch": 0.83, + "learning_rate": 1.5141897989227372e-06, + "loss": 0.8154, + "step": 9783 + }, + { + "epoch": 0.83, + "learning_rate": 1.5127378616325606e-06, + "loss": 0.8469, + "step": 9784 + }, + { + "epoch": 0.83, + "learning_rate": 1.5112865638353446e-06, + "loss": 0.8232, + "step": 9785 + }, + { + "epoch": 0.83, + "learning_rate": 1.509835905640431e-06, + "loss": 0.8456, + "step": 9786 + }, + { + "epoch": 0.83, + "learning_rate": 1.5083858871571299e-06, + "loss": 0.8636, + "step": 9787 + }, + { + "epoch": 0.83, + "learning_rate": 1.5069365084946941e-06, + "loss": 0.842, + "step": 9788 + }, + { + "epoch": 0.83, + "learning_rate": 1.5054877697623305e-06, + "loss": 0.8681, + "step": 9789 + }, + { + "epoch": 0.83, + "learning_rate": 1.5040396710691996e-06, + "loss": 0.9008, + "step": 9790 + }, + { + "epoch": 0.83, + "learning_rate": 1.5025922125244052e-06, + "loss": 0.9053, + "step": 9791 + }, + { + "epoch": 0.83, + "learning_rate": 1.5011453942370191e-06, + "loss": 0.8017, + "step": 9792 + }, + { + "epoch": 0.83, + "learning_rate": 1.4996992163160461e-06, + "loss": 0.8541, + "step": 9793 + }, + { + "epoch": 0.83, + "learning_rate": 1.4982536788704604e-06, + "loss": 0.839, + "step": 9794 + }, + { + "epoch": 0.83, + "learning_rate": 1.4968087820091714e-06, + "loss": 0.8786, + "step": 9795 + }, + { + "epoch": 0.83, + "learning_rate": 1.4953645258410566e-06, + "loss": 0.874, + "step": 9796 + }, + { + "epoch": 0.83, + "learning_rate": 1.4939209104749274e-06, + "loss": 0.8483, + "step": 9797 + }, + { + "epoch": 0.83, + "learning_rate": 1.4924779360195662e-06, + "loss": 0.8761, + "step": 9798 + }, + { + "epoch": 0.83, + "learning_rate": 1.491035602583688e-06, + "loss": 0.8239, + "step": 9799 + }, + { + "epoch": 0.83, + "learning_rate": 1.4895939102759782e-06, + "loss": 0.9013, + "step": 9800 + }, + { + "epoch": 0.83, + "learning_rate": 1.4881528592050576e-06, + "loss": 0.8312, + "step": 9801 + }, + { + "epoch": 0.83, + "learning_rate": 1.4867124494795082e-06, + "loss": 0.8405, + "step": 9802 + }, + { + "epoch": 0.83, + "learning_rate": 1.4852726812078611e-06, + "loss": 0.841, + "step": 9803 + }, + { + "epoch": 0.83, + "learning_rate": 1.4838335544985982e-06, + "loss": 0.8432, + "step": 9804 + }, + { + "epoch": 0.83, + "learning_rate": 1.482395069460154e-06, + "loss": 0.8498, + "step": 9805 + }, + { + "epoch": 0.83, + "learning_rate": 1.4809572262009164e-06, + "loss": 0.8583, + "step": 9806 + }, + { + "epoch": 0.83, + "learning_rate": 1.4795200248292207e-06, + "loss": 0.8727, + "step": 9807 + }, + { + "epoch": 0.83, + "learning_rate": 1.4780834654533572e-06, + "loss": 0.8521, + "step": 9808 + }, + { + "epoch": 0.83, + "learning_rate": 1.476647548181568e-06, + "loss": 0.8676, + "step": 9809 + }, + { + "epoch": 0.83, + "learning_rate": 1.475212273122043e-06, + "loss": 0.8743, + "step": 9810 + }, + { + "epoch": 0.83, + "learning_rate": 1.4737776403829296e-06, + "loss": 0.825, + "step": 9811 + }, + { + "epoch": 0.83, + "learning_rate": 1.472343650072322e-06, + "loss": 0.8719, + "step": 9812 + }, + { + "epoch": 0.83, + "learning_rate": 1.4709103022982673e-06, + "loss": 0.8413, + "step": 9813 + }, + { + "epoch": 0.83, + "learning_rate": 1.4694775971687648e-06, + "loss": 0.8902, + "step": 9814 + }, + { + "epoch": 0.83, + "learning_rate": 1.4680455347917655e-06, + "loss": 0.8195, + "step": 9815 + }, + { + "epoch": 0.83, + "learning_rate": 1.466614115275171e-06, + "loss": 0.8802, + "step": 9816 + }, + { + "epoch": 0.83, + "learning_rate": 1.4651833387268365e-06, + "loss": 0.8797, + "step": 9817 + }, + { + "epoch": 0.83, + "learning_rate": 1.4637532052545644e-06, + "loss": 0.8249, + "step": 9818 + }, + { + "epoch": 0.83, + "learning_rate": 1.462323714966114e-06, + "loss": 0.8406, + "step": 9819 + }, + { + "epoch": 0.83, + "learning_rate": 1.4608948679691926e-06, + "loss": 0.907, + "step": 9820 + }, + { + "epoch": 0.83, + "learning_rate": 1.4594666643714629e-06, + "loss": 0.8546, + "step": 9821 + }, + { + "epoch": 0.83, + "learning_rate": 1.4580391042805287e-06, + "loss": 0.8216, + "step": 9822 + }, + { + "epoch": 0.83, + "learning_rate": 1.456612187803963e-06, + "loss": 0.8446, + "step": 9823 + }, + { + "epoch": 0.83, + "learning_rate": 1.4551859150492697e-06, + "loss": 0.8678, + "step": 9824 + }, + { + "epoch": 0.83, + "learning_rate": 1.4537602861239253e-06, + "loss": 0.8943, + "step": 9825 + }, + { + "epoch": 0.83, + "learning_rate": 1.452335301135337e-06, + "loss": 0.8013, + "step": 9826 + }, + { + "epoch": 0.83, + "learning_rate": 1.4509109601908845e-06, + "loss": 0.8051, + "step": 9827 + }, + { + "epoch": 0.83, + "learning_rate": 1.4494872633978763e-06, + "loss": 0.8216, + "step": 9828 + }, + { + "epoch": 0.83, + "learning_rate": 1.4480642108635955e-06, + "loss": 0.8827, + "step": 9829 + }, + { + "epoch": 0.83, + "learning_rate": 1.4466418026952555e-06, + "loss": 0.868, + "step": 9830 + }, + { + "epoch": 0.83, + "learning_rate": 1.445220039000037e-06, + "loss": 0.8875, + "step": 9831 + }, + { + "epoch": 0.83, + "learning_rate": 1.4437989198850688e-06, + "loss": 0.5627, + "step": 9832 + }, + { + "epoch": 0.83, + "learning_rate": 1.4423784454574185e-06, + "loss": 0.8585, + "step": 9833 + }, + { + "epoch": 0.83, + "learning_rate": 1.4409586158241272e-06, + "loss": 0.809, + "step": 9834 + }, + { + "epoch": 0.83, + "learning_rate": 1.4395394310921639e-06, + "loss": 0.8661, + "step": 9835 + }, + { + "epoch": 0.83, + "learning_rate": 1.4381208913684707e-06, + "loss": 0.8569, + "step": 9836 + }, + { + "epoch": 0.83, + "learning_rate": 1.4367029967599211e-06, + "loss": 0.5445, + "step": 9837 + }, + { + "epoch": 0.83, + "learning_rate": 1.4352857473733595e-06, + "loss": 0.8402, + "step": 9838 + }, + { + "epoch": 0.83, + "learning_rate": 1.4338691433155627e-06, + "loss": 0.8194, + "step": 9839 + }, + { + "epoch": 0.83, + "learning_rate": 1.4324531846932766e-06, + "loss": 0.8142, + "step": 9840 + }, + { + "epoch": 0.83, + "learning_rate": 1.4310378716131811e-06, + "loss": 0.4441, + "step": 9841 + }, + { + "epoch": 0.83, + "learning_rate": 1.4296232041819259e-06, + "loss": 0.841, + "step": 9842 + }, + { + "epoch": 0.83, + "learning_rate": 1.4282091825060963e-06, + "loss": 0.8675, + "step": 9843 + }, + { + "epoch": 0.83, + "learning_rate": 1.426795806692235e-06, + "loss": 0.8444, + "step": 9844 + }, + { + "epoch": 0.83, + "learning_rate": 1.4253830768468379e-06, + "loss": 0.793, + "step": 9845 + }, + { + "epoch": 0.83, + "learning_rate": 1.4239709930763513e-06, + "loss": 0.8724, + "step": 9846 + }, + { + "epoch": 0.83, + "learning_rate": 1.4225595554871707e-06, + "loss": 0.8772, + "step": 9847 + }, + { + "epoch": 0.83, + "learning_rate": 1.4211487641856437e-06, + "loss": 0.5612, + "step": 9848 + }, + { + "epoch": 0.83, + "learning_rate": 1.4197386192780715e-06, + "loss": 0.5838, + "step": 9849 + }, + { + "epoch": 0.83, + "learning_rate": 1.4183291208707029e-06, + "loss": 0.8587, + "step": 9850 + }, + { + "epoch": 0.83, + "learning_rate": 1.4169202690697414e-06, + "loss": 0.8549, + "step": 9851 + }, + { + "epoch": 0.83, + "learning_rate": 1.4155120639813392e-06, + "loss": 0.8368, + "step": 9852 + }, + { + "epoch": 0.84, + "learning_rate": 1.414104505711602e-06, + "loss": 0.8449, + "step": 9853 + }, + { + "epoch": 0.84, + "learning_rate": 1.4126975943665844e-06, + "loss": 0.8431, + "step": 9854 + }, + { + "epoch": 0.84, + "learning_rate": 1.4112913300522946e-06, + "loss": 0.8315, + "step": 9855 + }, + { + "epoch": 0.84, + "learning_rate": 1.4098857128746912e-06, + "loss": 0.829, + "step": 9856 + }, + { + "epoch": 0.84, + "learning_rate": 1.4084807429396818e-06, + "loss": 0.8809, + "step": 9857 + }, + { + "epoch": 0.84, + "learning_rate": 1.4070764203531283e-06, + "loss": 0.8961, + "step": 9858 + }, + { + "epoch": 0.84, + "learning_rate": 1.405672745220844e-06, + "loss": 0.8887, + "step": 9859 + }, + { + "epoch": 0.84, + "learning_rate": 1.4042697176485898e-06, + "loss": 0.8567, + "step": 9860 + }, + { + "epoch": 0.84, + "learning_rate": 1.4028673377420821e-06, + "loss": 0.841, + "step": 9861 + }, + { + "epoch": 0.84, + "learning_rate": 1.4014656056069854e-06, + "loss": 0.876, + "step": 9862 + }, + { + "epoch": 0.84, + "learning_rate": 1.4000645213489194e-06, + "loss": 0.9156, + "step": 9863 + }, + { + "epoch": 0.84, + "learning_rate": 1.3986640850734444e-06, + "loss": 0.533, + "step": 9864 + }, + { + "epoch": 0.84, + "learning_rate": 1.3972642968860905e-06, + "loss": 0.826, + "step": 9865 + }, + { + "epoch": 0.84, + "learning_rate": 1.3958651568923165e-06, + "loss": 0.8858, + "step": 9866 + }, + { + "epoch": 0.84, + "learning_rate": 1.3944666651975559e-06, + "loss": 0.8002, + "step": 9867 + }, + { + "epoch": 0.84, + "learning_rate": 1.3930688219071697e-06, + "loss": 0.8489, + "step": 9868 + }, + { + "epoch": 0.84, + "learning_rate": 1.391671627126493e-06, + "loss": 0.4621, + "step": 9869 + }, + { + "epoch": 0.84, + "learning_rate": 1.390275080960789e-06, + "loss": 0.869, + "step": 9870 + }, + { + "epoch": 0.84, + "learning_rate": 1.388879183515296e-06, + "loss": 0.8612, + "step": 9871 + }, + { + "epoch": 0.84, + "learning_rate": 1.3874839348951796e-06, + "loss": 0.8909, + "step": 9872 + }, + { + "epoch": 0.84, + "learning_rate": 1.3860893352055782e-06, + "loss": 0.8173, + "step": 9873 + }, + { + "epoch": 0.84, + "learning_rate": 1.3846953845515655e-06, + "loss": 0.8672, + "step": 9874 + }, + { + "epoch": 0.84, + "learning_rate": 1.3833020830381694e-06, + "loss": 0.8715, + "step": 9875 + }, + { + "epoch": 0.84, + "learning_rate": 1.3819094307703807e-06, + "loss": 0.8602, + "step": 9876 + }, + { + "epoch": 0.84, + "learning_rate": 1.380517427853122e-06, + "loss": 0.8276, + "step": 9877 + }, + { + "epoch": 0.84, + "learning_rate": 1.379126074391287e-06, + "loss": 0.7976, + "step": 9878 + }, + { + "epoch": 0.84, + "learning_rate": 1.3777353704897002e-06, + "loss": 0.8204, + "step": 9879 + }, + { + "epoch": 0.84, + "learning_rate": 1.376345316253157e-06, + "loss": 0.8494, + "step": 9880 + }, + { + "epoch": 0.84, + "learning_rate": 1.3749559117863865e-06, + "loss": 0.84, + "step": 9881 + }, + { + "epoch": 0.84, + "learning_rate": 1.3735671571940835e-06, + "loss": 0.7745, + "step": 9882 + }, + { + "epoch": 0.84, + "learning_rate": 1.3721790525808797e-06, + "loss": 0.8363, + "step": 9883 + }, + { + "epoch": 0.84, + "learning_rate": 1.370791598051373e-06, + "loss": 0.8447, + "step": 9884 + }, + { + "epoch": 0.84, + "learning_rate": 1.3694047937100985e-06, + "loss": 0.8841, + "step": 9885 + }, + { + "epoch": 0.84, + "learning_rate": 1.3680186396615514e-06, + "loss": 0.792, + "step": 9886 + }, + { + "epoch": 0.84, + "learning_rate": 1.3666331360101725e-06, + "loss": 0.8835, + "step": 9887 + }, + { + "epoch": 0.84, + "learning_rate": 1.3652482828603575e-06, + "loss": 0.8961, + "step": 9888 + }, + { + "epoch": 0.84, + "learning_rate": 1.3638640803164516e-06, + "loss": 0.9043, + "step": 9889 + }, + { + "epoch": 0.84, + "learning_rate": 1.3624805284827492e-06, + "loss": 0.8679, + "step": 9890 + }, + { + "epoch": 0.84, + "learning_rate": 1.3610976274634991e-06, + "loss": 0.843, + "step": 9891 + }, + { + "epoch": 0.84, + "learning_rate": 1.359715377362899e-06, + "loss": 0.8589, + "step": 9892 + }, + { + "epoch": 0.84, + "learning_rate": 1.358333778285097e-06, + "loss": 0.8751, + "step": 9893 + }, + { + "epoch": 0.84, + "learning_rate": 1.3569528303341927e-06, + "loss": 0.8626, + "step": 9894 + }, + { + "epoch": 0.84, + "learning_rate": 1.3555725336142378e-06, + "loss": 0.867, + "step": 9895 + }, + { + "epoch": 0.84, + "learning_rate": 1.3541928882292344e-06, + "loss": 0.7717, + "step": 9896 + }, + { + "epoch": 0.84, + "learning_rate": 1.3528138942831337e-06, + "loss": 0.8396, + "step": 9897 + }, + { + "epoch": 0.84, + "learning_rate": 1.3514355518798417e-06, + "loss": 0.8551, + "step": 9898 + }, + { + "epoch": 0.84, + "learning_rate": 1.3500578611232095e-06, + "loss": 0.8422, + "step": 9899 + }, + { + "epoch": 0.84, + "learning_rate": 1.3486808221170455e-06, + "loss": 0.8419, + "step": 9900 + }, + { + "epoch": 0.84, + "learning_rate": 1.3473044349651042e-06, + "loss": 0.8443, + "step": 9901 + }, + { + "epoch": 0.84, + "learning_rate": 1.345928699771093e-06, + "loss": 0.8301, + "step": 9902 + }, + { + "epoch": 0.84, + "learning_rate": 1.3445536166386708e-06, + "loss": 0.8881, + "step": 9903 + }, + { + "epoch": 0.84, + "learning_rate": 1.3431791856714471e-06, + "loss": 0.8695, + "step": 9904 + }, + { + "epoch": 0.84, + "learning_rate": 1.3418054069729814e-06, + "loss": 0.8605, + "step": 9905 + }, + { + "epoch": 0.84, + "learning_rate": 1.3404322806467796e-06, + "loss": 0.8921, + "step": 9906 + }, + { + "epoch": 0.84, + "learning_rate": 1.3390598067963112e-06, + "loss": 0.853, + "step": 9907 + }, + { + "epoch": 0.84, + "learning_rate": 1.3376879855249803e-06, + "loss": 0.8396, + "step": 9908 + }, + { + "epoch": 0.84, + "learning_rate": 1.3363168169361574e-06, + "loss": 0.8548, + "step": 9909 + }, + { + "epoch": 0.84, + "learning_rate": 1.3349463011331498e-06, + "loss": 0.8511, + "step": 9910 + }, + { + "epoch": 0.84, + "learning_rate": 1.3335764382192307e-06, + "loss": 0.8813, + "step": 9911 + }, + { + "epoch": 0.84, + "learning_rate": 1.3322072282976051e-06, + "loss": 0.8832, + "step": 9912 + }, + { + "epoch": 0.84, + "learning_rate": 1.3308386714714495e-06, + "loss": 0.8379, + "step": 9913 + }, + { + "epoch": 0.84, + "learning_rate": 1.3294707678438723e-06, + "loss": 0.8715, + "step": 9914 + }, + { + "epoch": 0.84, + "learning_rate": 1.3281035175179503e-06, + "loss": 0.8546, + "step": 9915 + }, + { + "epoch": 0.84, + "learning_rate": 1.3267369205966951e-06, + "loss": 0.859, + "step": 9916 + }, + { + "epoch": 0.84, + "learning_rate": 1.325370977183078e-06, + "loss": 0.8428, + "step": 9917 + }, + { + "epoch": 0.84, + "learning_rate": 1.324005687380021e-06, + "loss": 0.8491, + "step": 9918 + }, + { + "epoch": 0.84, + "learning_rate": 1.3226410512903908e-06, + "loss": 0.8301, + "step": 9919 + }, + { + "epoch": 0.84, + "learning_rate": 1.3212770690170174e-06, + "loss": 0.8621, + "step": 9920 + }, + { + "epoch": 0.84, + "learning_rate": 1.3199137406626639e-06, + "loss": 0.8162, + "step": 9921 + }, + { + "epoch": 0.84, + "learning_rate": 1.3185510663300615e-06, + "loss": 0.8426, + "step": 9922 + }, + { + "epoch": 0.84, + "learning_rate": 1.3171890461218772e-06, + "loss": 0.8785, + "step": 9923 + }, + { + "epoch": 0.84, + "learning_rate": 1.3158276801407432e-06, + "loss": 0.8441, + "step": 9924 + }, + { + "epoch": 0.84, + "learning_rate": 1.3144669684892254e-06, + "loss": 0.8458, + "step": 9925 + }, + { + "epoch": 0.84, + "learning_rate": 1.3131069112698602e-06, + "loss": 0.8363, + "step": 9926 + }, + { + "epoch": 0.84, + "learning_rate": 1.3117475085851173e-06, + "loss": 0.8697, + "step": 9927 + }, + { + "epoch": 0.84, + "learning_rate": 1.3103887605374255e-06, + "loss": 0.8309, + "step": 9928 + }, + { + "epoch": 0.84, + "learning_rate": 1.3090306672291631e-06, + "loss": 0.4303, + "step": 9929 + }, + { + "epoch": 0.84, + "learning_rate": 1.3076732287626603e-06, + "loss": 0.869, + "step": 9930 + }, + { + "epoch": 0.84, + "learning_rate": 1.3063164452401943e-06, + "loss": 0.8584, + "step": 9931 + }, + { + "epoch": 0.84, + "learning_rate": 1.3049603167639969e-06, + "loss": 0.8028, + "step": 9932 + }, + { + "epoch": 0.84, + "learning_rate": 1.303604843436248e-06, + "loss": 0.8318, + "step": 9933 + }, + { + "epoch": 0.84, + "learning_rate": 1.3022500253590798e-06, + "loss": 0.8687, + "step": 9934 + }, + { + "epoch": 0.84, + "learning_rate": 1.3008958626345735e-06, + "loss": 0.8626, + "step": 9935 + }, + { + "epoch": 0.84, + "learning_rate": 1.2995423553647623e-06, + "loss": 0.8493, + "step": 9936 + }, + { + "epoch": 0.84, + "learning_rate": 1.2981895036516278e-06, + "loss": 0.8505, + "step": 9937 + }, + { + "epoch": 0.84, + "learning_rate": 1.2968373075971063e-06, + "loss": 0.8829, + "step": 9938 + }, + { + "epoch": 0.84, + "learning_rate": 1.2954857673030807e-06, + "loss": 0.8195, + "step": 9939 + }, + { + "epoch": 0.84, + "learning_rate": 1.2941348828713861e-06, + "loss": 0.8748, + "step": 9940 + }, + { + "epoch": 0.84, + "learning_rate": 1.2927846544038091e-06, + "loss": 0.8378, + "step": 9941 + }, + { + "epoch": 0.84, + "learning_rate": 1.2914350820020837e-06, + "loss": 0.8307, + "step": 9942 + }, + { + "epoch": 0.84, + "learning_rate": 1.2900861657678998e-06, + "loss": 0.8803, + "step": 9943 + }, + { + "epoch": 0.84, + "learning_rate": 1.2887379058028915e-06, + "loss": 0.8274, + "step": 9944 + }, + { + "epoch": 0.84, + "learning_rate": 1.2873903022086487e-06, + "loss": 0.8632, + "step": 9945 + }, + { + "epoch": 0.84, + "learning_rate": 1.2860433550867092e-06, + "loss": 0.8871, + "step": 9946 + }, + { + "epoch": 0.84, + "learning_rate": 1.2846970645385638e-06, + "loss": 0.8637, + "step": 9947 + }, + { + "epoch": 0.84, + "learning_rate": 1.2833514306656468e-06, + "loss": 0.5121, + "step": 9948 + }, + { + "epoch": 0.84, + "learning_rate": 1.2820064535693543e-06, + "loss": 0.8453, + "step": 9949 + }, + { + "epoch": 0.84, + "learning_rate": 1.2806621333510204e-06, + "loss": 0.8351, + "step": 9950 + }, + { + "epoch": 0.84, + "learning_rate": 1.2793184701119444e-06, + "loss": 0.8775, + "step": 9951 + }, + { + "epoch": 0.84, + "learning_rate": 1.2779754639533592e-06, + "loss": 0.8362, + "step": 9952 + }, + { + "epoch": 0.84, + "learning_rate": 1.2766331149764643e-06, + "loss": 0.9059, + "step": 9953 + }, + { + "epoch": 0.84, + "learning_rate": 1.2752914232823942e-06, + "loss": 0.8143, + "step": 9954 + }, + { + "epoch": 0.84, + "learning_rate": 1.2739503889722505e-06, + "loss": 0.8725, + "step": 9955 + }, + { + "epoch": 0.84, + "learning_rate": 1.2726100121470676e-06, + "loss": 0.8604, + "step": 9956 + }, + { + "epoch": 0.84, + "learning_rate": 1.271270292907849e-06, + "loss": 0.8581, + "step": 9957 + }, + { + "epoch": 0.84, + "learning_rate": 1.2699312313555323e-06, + "loss": 0.8554, + "step": 9958 + }, + { + "epoch": 0.84, + "learning_rate": 1.2685928275910142e-06, + "loss": 0.8417, + "step": 9959 + }, + { + "epoch": 0.84, + "learning_rate": 1.2672550817151397e-06, + "loss": 0.828, + "step": 9960 + }, + { + "epoch": 0.84, + "learning_rate": 1.2659179938287035e-06, + "loss": 0.8632, + "step": 9961 + }, + { + "epoch": 0.84, + "learning_rate": 1.2645815640324545e-06, + "loss": 0.8635, + "step": 9962 + }, + { + "epoch": 0.84, + "learning_rate": 1.2632457924270835e-06, + "loss": 0.8207, + "step": 9963 + }, + { + "epoch": 0.84, + "learning_rate": 1.2619106791132475e-06, + "loss": 0.878, + "step": 9964 + }, + { + "epoch": 0.84, + "learning_rate": 1.260576224191532e-06, + "loss": 0.7981, + "step": 9965 + }, + { + "epoch": 0.84, + "learning_rate": 1.2592424277624948e-06, + "loss": 0.8692, + "step": 9966 + }, + { + "epoch": 0.84, + "learning_rate": 1.2579092899266254e-06, + "loss": 0.856, + "step": 9967 + }, + { + "epoch": 0.84, + "learning_rate": 1.2565768107843812e-06, + "loss": 0.8558, + "step": 9968 + }, + { + "epoch": 0.84, + "learning_rate": 1.255244990436153e-06, + "loss": 0.8483, + "step": 9969 + }, + { + "epoch": 0.84, + "learning_rate": 1.2539138289822939e-06, + "loss": 0.8938, + "step": 9970 + }, + { + "epoch": 0.85, + "learning_rate": 1.2525833265231025e-06, + "loss": 0.8787, + "step": 9971 + }, + { + "epoch": 0.85, + "learning_rate": 1.2512534831588285e-06, + "loss": 0.8243, + "step": 9972 + }, + { + "epoch": 0.85, + "learning_rate": 1.249924298989672e-06, + "loss": 0.901, + "step": 9973 + }, + { + "epoch": 0.85, + "learning_rate": 1.248595774115784e-06, + "loss": 0.8672, + "step": 9974 + }, + { + "epoch": 0.85, + "learning_rate": 1.2472679086372662e-06, + "loss": 0.8058, + "step": 9975 + }, + { + "epoch": 0.85, + "learning_rate": 1.245940702654168e-06, + "loss": 0.8267, + "step": 9976 + }, + { + "epoch": 0.85, + "learning_rate": 1.2446141562664927e-06, + "loss": 0.842, + "step": 9977 + }, + { + "epoch": 0.85, + "learning_rate": 1.243288269574191e-06, + "loss": 0.8163, + "step": 9978 + }, + { + "epoch": 0.85, + "learning_rate": 1.2419630426771644e-06, + "loss": 0.8519, + "step": 9979 + }, + { + "epoch": 0.85, + "learning_rate": 1.2406384756752665e-06, + "loss": 0.8005, + "step": 9980 + }, + { + "epoch": 0.85, + "learning_rate": 1.2393145686682995e-06, + "loss": 0.8586, + "step": 9981 + }, + { + "epoch": 0.85, + "learning_rate": 1.2379913217560157e-06, + "loss": 0.8496, + "step": 9982 + }, + { + "epoch": 0.85, + "learning_rate": 1.2366687350381202e-06, + "loss": 0.8351, + "step": 9983 + }, + { + "epoch": 0.85, + "learning_rate": 1.2353468086142639e-06, + "loss": 0.8208, + "step": 9984 + }, + { + "epoch": 0.85, + "learning_rate": 1.234025542584053e-06, + "loss": 0.8557, + "step": 9985 + }, + { + "epoch": 0.85, + "learning_rate": 1.232704937047039e-06, + "loss": 0.8519, + "step": 9986 + }, + { + "epoch": 0.85, + "learning_rate": 1.2313849921027277e-06, + "loss": 0.8297, + "step": 9987 + }, + { + "epoch": 0.85, + "learning_rate": 1.2300657078505728e-06, + "loss": 0.8185, + "step": 9988 + }, + { + "epoch": 0.85, + "learning_rate": 1.228747084389982e-06, + "loss": 0.8172, + "step": 9989 + }, + { + "epoch": 0.85, + "learning_rate": 1.2274291218203027e-06, + "loss": 0.8096, + "step": 9990 + }, + { + "epoch": 0.85, + "learning_rate": 1.2261118202408484e-06, + "loss": 0.933, + "step": 9991 + }, + { + "epoch": 0.85, + "learning_rate": 1.2247951797508662e-06, + "loss": 0.9299, + "step": 9992 + }, + { + "epoch": 0.85, + "learning_rate": 1.2234792004495699e-06, + "loss": 0.8666, + "step": 9993 + }, + { + "epoch": 0.85, + "learning_rate": 1.222163882436107e-06, + "loss": 0.812, + "step": 9994 + }, + { + "epoch": 0.85, + "learning_rate": 1.2208492258095917e-06, + "loss": 0.8059, + "step": 9995 + }, + { + "epoch": 0.85, + "learning_rate": 1.2195352306690711e-06, + "loss": 0.8653, + "step": 9996 + }, + { + "epoch": 0.85, + "learning_rate": 1.2182218971135595e-06, + "loss": 0.8511, + "step": 9997 + }, + { + "epoch": 0.85, + "learning_rate": 1.2169092252420046e-06, + "loss": 0.8658, + "step": 9998 + }, + { + "epoch": 0.85, + "learning_rate": 1.2155972151533225e-06, + "loss": 0.8211, + "step": 9999 + }, + { + "epoch": 0.85, + "learning_rate": 1.214285866946362e-06, + "loss": 0.8484, + "step": 10000 + }, + { + "epoch": 0.85, + "learning_rate": 1.2129751807199319e-06, + "loss": 0.8209, + "step": 10001 + }, + { + "epoch": 0.85, + "learning_rate": 1.21166515657279e-06, + "loss": 0.8892, + "step": 10002 + }, + { + "epoch": 0.85, + "learning_rate": 1.2103557946036425e-06, + "loss": 0.8184, + "step": 10003 + }, + { + "epoch": 0.85, + "learning_rate": 1.2090470949111465e-06, + "loss": 0.877, + "step": 10004 + }, + { + "epoch": 0.85, + "learning_rate": 1.2077390575939097e-06, + "loss": 0.8527, + "step": 10005 + }, + { + "epoch": 0.85, + "learning_rate": 1.2064316827504885e-06, + "loss": 0.4718, + "step": 10006 + }, + { + "epoch": 0.85, + "learning_rate": 1.2051249704793877e-06, + "loss": 0.8516, + "step": 10007 + }, + { + "epoch": 0.85, + "learning_rate": 1.2038189208790718e-06, + "loss": 0.8526, + "step": 10008 + }, + { + "epoch": 0.85, + "learning_rate": 1.2025135340479398e-06, + "loss": 0.8552, + "step": 10009 + }, + { + "epoch": 0.85, + "learning_rate": 1.2012088100843577e-06, + "loss": 0.831, + "step": 10010 + }, + { + "epoch": 0.85, + "learning_rate": 1.1999047490866255e-06, + "loss": 0.8422, + "step": 10011 + }, + { + "epoch": 0.85, + "learning_rate": 1.1986013511530048e-06, + "loss": 0.8865, + "step": 10012 + }, + { + "epoch": 0.85, + "learning_rate": 1.1972986163817012e-06, + "loss": 0.8824, + "step": 10013 + }, + { + "epoch": 0.85, + "learning_rate": 1.1959965448708731e-06, + "loss": 0.8386, + "step": 10014 + }, + { + "epoch": 0.85, + "learning_rate": 1.1946951367186288e-06, + "loss": 0.8657, + "step": 10015 + }, + { + "epoch": 0.85, + "learning_rate": 1.1933943920230262e-06, + "loss": 0.899, + "step": 10016 + }, + { + "epoch": 0.85, + "learning_rate": 1.1920943108820714e-06, + "loss": 0.8516, + "step": 10017 + }, + { + "epoch": 0.85, + "learning_rate": 1.190794893393723e-06, + "loss": 0.8561, + "step": 10018 + }, + { + "epoch": 0.85, + "learning_rate": 1.189496139655889e-06, + "loss": 0.8515, + "step": 10019 + }, + { + "epoch": 0.85, + "learning_rate": 1.1881980497664282e-06, + "loss": 0.8693, + "step": 10020 + }, + { + "epoch": 0.85, + "learning_rate": 1.186900623823145e-06, + "loss": 0.872, + "step": 10021 + }, + { + "epoch": 0.85, + "learning_rate": 1.1856038619237998e-06, + "loss": 0.5437, + "step": 10022 + }, + { + "epoch": 0.85, + "learning_rate": 1.1843077641660994e-06, + "loss": 0.8734, + "step": 10023 + }, + { + "epoch": 0.85, + "learning_rate": 1.1830123306477015e-06, + "loss": 0.8507, + "step": 10024 + }, + { + "epoch": 0.85, + "learning_rate": 1.1817175614662136e-06, + "loss": 0.8862, + "step": 10025 + }, + { + "epoch": 0.85, + "learning_rate": 1.1804234567191919e-06, + "loss": 0.8221, + "step": 10026 + }, + { + "epoch": 0.85, + "learning_rate": 1.1791300165041463e-06, + "loss": 0.8656, + "step": 10027 + }, + { + "epoch": 0.85, + "learning_rate": 1.1778372409185324e-06, + "loss": 0.883, + "step": 10028 + }, + { + "epoch": 0.85, + "learning_rate": 1.1765451300597574e-06, + "loss": 0.8486, + "step": 10029 + }, + { + "epoch": 0.85, + "learning_rate": 1.1752536840251794e-06, + "loss": 0.8608, + "step": 10030 + }, + { + "epoch": 0.85, + "learning_rate": 1.1739629029121058e-06, + "loss": 0.823, + "step": 10031 + }, + { + "epoch": 0.85, + "learning_rate": 1.1726727868177902e-06, + "loss": 0.8275, + "step": 10032 + }, + { + "epoch": 0.85, + "learning_rate": 1.1713833358394456e-06, + "loss": 0.8976, + "step": 10033 + }, + { + "epoch": 0.85, + "learning_rate": 1.1700945500742212e-06, + "loss": 0.8248, + "step": 10034 + }, + { + "epoch": 0.85, + "learning_rate": 1.1688064296192313e-06, + "loss": 0.834, + "step": 10035 + }, + { + "epoch": 0.85, + "learning_rate": 1.1675189745715243e-06, + "loss": 0.8127, + "step": 10036 + }, + { + "epoch": 0.85, + "learning_rate": 1.1662321850281155e-06, + "loss": 0.8515, + "step": 10037 + }, + { + "epoch": 0.85, + "learning_rate": 1.164946061085952e-06, + "loss": 0.8064, + "step": 10038 + }, + { + "epoch": 0.85, + "learning_rate": 1.1636606028419495e-06, + "loss": 0.8622, + "step": 10039 + }, + { + "epoch": 0.85, + "learning_rate": 1.1623758103929538e-06, + "loss": 0.8694, + "step": 10040 + }, + { + "epoch": 0.85, + "learning_rate": 1.16109168383578e-06, + "loss": 0.8786, + "step": 10041 + }, + { + "epoch": 0.85, + "learning_rate": 1.159808223267178e-06, + "loss": 0.8747, + "step": 10042 + }, + { + "epoch": 0.85, + "learning_rate": 1.1585254287838544e-06, + "loss": 0.8455, + "step": 10043 + }, + { + "epoch": 0.85, + "learning_rate": 1.1572433004824635e-06, + "loss": 0.7586, + "step": 10044 + }, + { + "epoch": 0.85, + "learning_rate": 1.1559618384596127e-06, + "loss": 0.9445, + "step": 10045 + }, + { + "epoch": 0.85, + "learning_rate": 1.1546810428118548e-06, + "loss": 0.8114, + "step": 10046 + }, + { + "epoch": 0.85, + "learning_rate": 1.153400913635695e-06, + "loss": 0.8042, + "step": 10047 + }, + { + "epoch": 0.85, + "learning_rate": 1.152121451027587e-06, + "loss": 0.8298, + "step": 10048 + }, + { + "epoch": 0.85, + "learning_rate": 1.1508426550839368e-06, + "loss": 0.8161, + "step": 10049 + }, + { + "epoch": 0.85, + "learning_rate": 1.1495645259010969e-06, + "loss": 0.8759, + "step": 10050 + }, + { + "epoch": 0.85, + "learning_rate": 1.1482870635753696e-06, + "loss": 0.8895, + "step": 10051 + }, + { + "epoch": 0.85, + "learning_rate": 1.1470102682030139e-06, + "loss": 0.8292, + "step": 10052 + }, + { + "epoch": 0.85, + "learning_rate": 1.1457341398802269e-06, + "loss": 0.8739, + "step": 10053 + }, + { + "epoch": 0.85, + "learning_rate": 1.1444586787031632e-06, + "loss": 0.8242, + "step": 10054 + }, + { + "epoch": 0.85, + "learning_rate": 1.1431838847679265e-06, + "loss": 0.8238, + "step": 10055 + }, + { + "epoch": 0.85, + "learning_rate": 1.1419097581705686e-06, + "loss": 0.8671, + "step": 10056 + }, + { + "epoch": 0.85, + "learning_rate": 1.1406362990070918e-06, + "loss": 0.8483, + "step": 10057 + }, + { + "epoch": 0.85, + "learning_rate": 1.1393635073734476e-06, + "loss": 0.8508, + "step": 10058 + }, + { + "epoch": 0.85, + "learning_rate": 1.1380913833655383e-06, + "loss": 0.827, + "step": 10059 + }, + { + "epoch": 0.85, + "learning_rate": 1.1368199270792135e-06, + "loss": 0.8653, + "step": 10060 + }, + { + "epoch": 0.85, + "learning_rate": 1.1355491386102757e-06, + "loss": 0.8509, + "step": 10061 + }, + { + "epoch": 0.85, + "learning_rate": 1.134279018054475e-06, + "loss": 0.8558, + "step": 10062 + }, + { + "epoch": 0.85, + "learning_rate": 1.1330095655075113e-06, + "loss": 0.8823, + "step": 10063 + }, + { + "epoch": 0.85, + "learning_rate": 1.1317407810650372e-06, + "loss": 0.8488, + "step": 10064 + }, + { + "epoch": 0.85, + "learning_rate": 1.130472664822646e-06, + "loss": 0.8187, + "step": 10065 + }, + { + "epoch": 0.85, + "learning_rate": 1.1292052168758916e-06, + "loss": 0.8347, + "step": 10066 + }, + { + "epoch": 0.85, + "learning_rate": 1.127938437320273e-06, + "loss": 0.8442, + "step": 10067 + }, + { + "epoch": 0.85, + "learning_rate": 1.126672326251238e-06, + "loss": 0.8508, + "step": 10068 + }, + { + "epoch": 0.85, + "learning_rate": 1.125406883764184e-06, + "loss": 0.7966, + "step": 10069 + }, + { + "epoch": 0.85, + "learning_rate": 1.124142109954459e-06, + "loss": 0.5236, + "step": 10070 + }, + { + "epoch": 0.85, + "learning_rate": 1.1228780049173616e-06, + "loss": 0.8593, + "step": 10071 + }, + { + "epoch": 0.85, + "learning_rate": 1.1216145687481373e-06, + "loss": 0.8858, + "step": 10072 + }, + { + "epoch": 0.85, + "learning_rate": 1.1203518015419855e-06, + "loss": 0.7903, + "step": 10073 + }, + { + "epoch": 0.85, + "learning_rate": 1.1190897033940461e-06, + "loss": 0.8414, + "step": 10074 + }, + { + "epoch": 0.85, + "learning_rate": 1.1178282743994228e-06, + "loss": 0.8668, + "step": 10075 + }, + { + "epoch": 0.85, + "learning_rate": 1.116567514653153e-06, + "loss": 0.86, + "step": 10076 + }, + { + "epoch": 0.85, + "learning_rate": 1.1153074242502404e-06, + "loss": 0.8608, + "step": 10077 + }, + { + "epoch": 0.85, + "learning_rate": 1.1140480032856204e-06, + "loss": 0.8171, + "step": 10078 + }, + { + "epoch": 0.85, + "learning_rate": 1.1127892518541961e-06, + "loss": 0.882, + "step": 10079 + }, + { + "epoch": 0.85, + "learning_rate": 1.1115311700508026e-06, + "loss": 0.7753, + "step": 10080 + }, + { + "epoch": 0.85, + "learning_rate": 1.1102737579702404e-06, + "loss": 0.8326, + "step": 10081 + }, + { + "epoch": 0.85, + "learning_rate": 1.1090170157072455e-06, + "loss": 0.8971, + "step": 10082 + }, + { + "epoch": 0.85, + "learning_rate": 1.1077609433565173e-06, + "loss": 0.854, + "step": 10083 + }, + { + "epoch": 0.85, + "learning_rate": 1.1065055410126913e-06, + "loss": 0.8181, + "step": 10084 + }, + { + "epoch": 0.85, + "learning_rate": 1.1052508087703617e-06, + "loss": 0.8631, + "step": 10085 + }, + { + "epoch": 0.85, + "learning_rate": 1.1039967467240687e-06, + "loss": 0.875, + "step": 10086 + }, + { + "epoch": 0.85, + "learning_rate": 1.102743354968303e-06, + "loss": 0.8536, + "step": 10087 + }, + { + "epoch": 0.85, + "learning_rate": 1.101490633597504e-06, + "loss": 0.8634, + "step": 10088 + }, + { + "epoch": 0.86, + "learning_rate": 1.1002385827060602e-06, + "loss": 0.8376, + "step": 10089 + }, + { + "epoch": 0.86, + "learning_rate": 1.0989872023883118e-06, + "loss": 0.8638, + "step": 10090 + }, + { + "epoch": 0.86, + "learning_rate": 1.097736492738547e-06, + "loss": 0.8867, + "step": 10091 + }, + { + "epoch": 0.86, + "learning_rate": 1.0964864538510022e-06, + "loss": 0.8622, + "step": 10092 + }, + { + "epoch": 0.86, + "learning_rate": 1.0952370858198657e-06, + "loss": 0.8694, + "step": 10093 + }, + { + "epoch": 0.86, + "learning_rate": 1.0939883887392743e-06, + "loss": 0.837, + "step": 10094 + }, + { + "epoch": 0.86, + "learning_rate": 1.0927403627033129e-06, + "loss": 0.8465, + "step": 10095 + }, + { + "epoch": 0.86, + "learning_rate": 1.091493007806017e-06, + "loss": 0.8535, + "step": 10096 + }, + { + "epoch": 0.86, + "learning_rate": 1.0902463241413718e-06, + "loss": 0.8437, + "step": 10097 + }, + { + "epoch": 0.86, + "learning_rate": 1.0890003118033132e-06, + "loss": 0.8727, + "step": 10098 + }, + { + "epoch": 0.86, + "learning_rate": 1.0877549708857228e-06, + "loss": 0.8659, + "step": 10099 + }, + { + "epoch": 0.86, + "learning_rate": 1.0865103014824351e-06, + "loss": 0.871, + "step": 10100 + }, + { + "epoch": 0.86, + "learning_rate": 1.0852663036872324e-06, + "loss": 0.8652, + "step": 10101 + }, + { + "epoch": 0.86, + "learning_rate": 1.084022977593846e-06, + "loss": 0.8303, + "step": 10102 + }, + { + "epoch": 0.86, + "learning_rate": 1.0827803232959577e-06, + "loss": 0.8738, + "step": 10103 + }, + { + "epoch": 0.86, + "learning_rate": 1.0815383408871983e-06, + "loss": 0.8245, + "step": 10104 + }, + { + "epoch": 0.86, + "learning_rate": 1.0802970304611481e-06, + "loss": 0.869, + "step": 10105 + }, + { + "epoch": 0.86, + "learning_rate": 1.0790563921113384e-06, + "loss": 0.867, + "step": 10106 + }, + { + "epoch": 0.86, + "learning_rate": 1.0778164259312418e-06, + "loss": 0.8509, + "step": 10107 + }, + { + "epoch": 0.86, + "learning_rate": 1.0765771320142958e-06, + "loss": 0.9003, + "step": 10108 + }, + { + "epoch": 0.86, + "learning_rate": 1.0753385104538682e-06, + "loss": 0.8288, + "step": 10109 + }, + { + "epoch": 0.86, + "learning_rate": 1.074100561343292e-06, + "loss": 0.8576, + "step": 10110 + }, + { + "epoch": 0.86, + "learning_rate": 1.0728632847758425e-06, + "loss": 0.8019, + "step": 10111 + }, + { + "epoch": 0.86, + "learning_rate": 1.0716266808447452e-06, + "loss": 0.8296, + "step": 10112 + }, + { + "epoch": 0.86, + "learning_rate": 1.0703907496431743e-06, + "loss": 0.9039, + "step": 10113 + }, + { + "epoch": 0.86, + "learning_rate": 1.0691554912642532e-06, + "loss": 0.8481, + "step": 10114 + }, + { + "epoch": 0.86, + "learning_rate": 1.0679209058010597e-06, + "loss": 0.8585, + "step": 10115 + }, + { + "epoch": 0.86, + "learning_rate": 1.0666869933466085e-06, + "loss": 0.825, + "step": 10116 + }, + { + "epoch": 0.86, + "learning_rate": 1.0654537539938814e-06, + "loss": 0.8836, + "step": 10117 + }, + { + "epoch": 0.86, + "learning_rate": 1.06422118783579e-06, + "loss": 0.8634, + "step": 10118 + }, + { + "epoch": 0.86, + "learning_rate": 1.0629892949652133e-06, + "loss": 0.8504, + "step": 10119 + }, + { + "epoch": 0.86, + "learning_rate": 1.0617580754749646e-06, + "loss": 0.873, + "step": 10120 + }, + { + "epoch": 0.86, + "learning_rate": 1.06052752945782e-06, + "loss": 0.4445, + "step": 10121 + }, + { + "epoch": 0.86, + "learning_rate": 1.0592976570064894e-06, + "loss": 0.844, + "step": 10122 + }, + { + "epoch": 0.86, + "learning_rate": 1.058068458213649e-06, + "loss": 0.8733, + "step": 10123 + }, + { + "epoch": 0.86, + "learning_rate": 1.0568399331719082e-06, + "loss": 0.8845, + "step": 10124 + }, + { + "epoch": 0.86, + "learning_rate": 1.0556120819738403e-06, + "loss": 0.8144, + "step": 10125 + }, + { + "epoch": 0.86, + "learning_rate": 1.0543849047119548e-06, + "loss": 0.8288, + "step": 10126 + }, + { + "epoch": 0.86, + "learning_rate": 1.0531584014787198e-06, + "loss": 0.8562, + "step": 10127 + }, + { + "epoch": 0.86, + "learning_rate": 1.0519325723665463e-06, + "loss": 0.8609, + "step": 10128 + }, + { + "epoch": 0.86, + "learning_rate": 1.0507074174678e-06, + "loss": 0.8489, + "step": 10129 + }, + { + "epoch": 0.86, + "learning_rate": 1.0494829368747917e-06, + "loss": 0.8779, + "step": 10130 + }, + { + "epoch": 0.86, + "learning_rate": 1.0482591306797829e-06, + "loss": 0.8952, + "step": 10131 + }, + { + "epoch": 0.86, + "learning_rate": 1.0470359989749845e-06, + "loss": 0.8566, + "step": 10132 + }, + { + "epoch": 0.86, + "learning_rate": 1.0458135418525572e-06, + "loss": 0.8434, + "step": 10133 + }, + { + "epoch": 0.86, + "learning_rate": 1.0445917594046073e-06, + "loss": 0.8482, + "step": 10134 + }, + { + "epoch": 0.86, + "learning_rate": 1.0433706517231957e-06, + "loss": 0.8827, + "step": 10135 + }, + { + "epoch": 0.86, + "learning_rate": 1.0421502189003274e-06, + "loss": 0.8156, + "step": 10136 + }, + { + "epoch": 0.86, + "learning_rate": 1.0409304610279603e-06, + "loss": 0.8829, + "step": 10137 + }, + { + "epoch": 0.86, + "learning_rate": 1.0397113781979994e-06, + "loss": 0.8615, + "step": 10138 + }, + { + "epoch": 0.86, + "learning_rate": 1.0384929705022994e-06, + "loss": 0.8543, + "step": 10139 + }, + { + "epoch": 0.86, + "learning_rate": 1.0372752380326645e-06, + "loss": 0.8699, + "step": 10140 + }, + { + "epoch": 0.86, + "learning_rate": 1.0360581808808478e-06, + "loss": 0.9022, + "step": 10141 + }, + { + "epoch": 0.86, + "learning_rate": 1.0348417991385506e-06, + "loss": 0.8512, + "step": 10142 + }, + { + "epoch": 0.86, + "learning_rate": 1.0336260928974252e-06, + "loss": 0.848, + "step": 10143 + }, + { + "epoch": 0.86, + "learning_rate": 1.0324110622490702e-06, + "loss": 0.8307, + "step": 10144 + }, + { + "epoch": 0.86, + "learning_rate": 1.0311967072850359e-06, + "loss": 0.8401, + "step": 10145 + }, + { + "epoch": 0.86, + "learning_rate": 1.0299830280968205e-06, + "loss": 0.8295, + "step": 10146 + }, + { + "epoch": 0.86, + "learning_rate": 1.0287700247758725e-06, + "loss": 0.8296, + "step": 10147 + }, + { + "epoch": 0.86, + "learning_rate": 1.0275576974135893e-06, + "loss": 0.8072, + "step": 10148 + }, + { + "epoch": 0.86, + "learning_rate": 1.026346046101312e-06, + "loss": 0.8562, + "step": 10149 + }, + { + "epoch": 0.86, + "learning_rate": 1.0251350709303409e-06, + "loss": 0.8477, + "step": 10150 + }, + { + "epoch": 0.86, + "learning_rate": 1.0239247719919144e-06, + "loss": 0.8905, + "step": 10151 + }, + { + "epoch": 0.86, + "learning_rate": 1.0227151493772324e-06, + "loss": 0.8833, + "step": 10152 + }, + { + "epoch": 0.86, + "learning_rate": 1.0215062031774293e-06, + "loss": 0.8783, + "step": 10153 + }, + { + "epoch": 0.86, + "learning_rate": 1.0202979334836006e-06, + "loss": 0.8792, + "step": 10154 + }, + { + "epoch": 0.86, + "learning_rate": 1.0190903403867847e-06, + "loss": 0.5536, + "step": 10155 + }, + { + "epoch": 0.86, + "learning_rate": 1.017883423977971e-06, + "loss": 0.7842, + "step": 10156 + }, + { + "epoch": 0.86, + "learning_rate": 1.0166771843481004e-06, + "loss": 0.857, + "step": 10157 + }, + { + "epoch": 0.86, + "learning_rate": 1.0154716215880523e-06, + "loss": 0.8451, + "step": 10158 + }, + { + "epoch": 0.86, + "learning_rate": 1.0142667357886714e-06, + "loss": 0.8434, + "step": 10159 + }, + { + "epoch": 0.86, + "learning_rate": 1.0130625270407347e-06, + "loss": 0.8606, + "step": 10160 + }, + { + "epoch": 0.86, + "learning_rate": 1.0118589954349845e-06, + "loss": 0.8968, + "step": 10161 + }, + { + "epoch": 0.86, + "learning_rate": 1.0106561410620953e-06, + "loss": 0.85, + "step": 10162 + }, + { + "epoch": 0.86, + "learning_rate": 1.0094539640127067e-06, + "loss": 0.8584, + "step": 10163 + }, + { + "epoch": 0.86, + "learning_rate": 1.0082524643773916e-06, + "loss": 0.8695, + "step": 10164 + }, + { + "epoch": 0.86, + "learning_rate": 1.0070516422466892e-06, + "loss": 0.8966, + "step": 10165 + }, + { + "epoch": 0.86, + "learning_rate": 1.005851497711069e-06, + "loss": 0.8449, + "step": 10166 + }, + { + "epoch": 0.86, + "learning_rate": 1.0046520308609664e-06, + "loss": 0.8924, + "step": 10167 + }, + { + "epoch": 0.86, + "learning_rate": 1.0034532417867537e-06, + "loss": 0.838, + "step": 10168 + }, + { + "epoch": 0.86, + "learning_rate": 1.0022551305787564e-06, + "loss": 0.8744, + "step": 10169 + }, + { + "epoch": 0.86, + "learning_rate": 1.0010576973272512e-06, + "loss": 0.8886, + "step": 10170 + }, + { + "epoch": 0.86, + "learning_rate": 9.998609421224604e-07, + "loss": 0.8711, + "step": 10171 + }, + { + "epoch": 0.86, + "learning_rate": 9.986648650545561e-07, + "loss": 0.88, + "step": 10172 + }, + { + "epoch": 0.86, + "learning_rate": 9.974694662136609e-07, + "loss": 0.8665, + "step": 10173 + }, + { + "epoch": 0.86, + "learning_rate": 9.962747456898426e-07, + "loss": 0.8595, + "step": 10174 + }, + { + "epoch": 0.86, + "learning_rate": 9.950807035731224e-07, + "loss": 0.8638, + "step": 10175 + }, + { + "epoch": 0.86, + "learning_rate": 9.938873399534688e-07, + "loss": 0.8962, + "step": 10176 + }, + { + "epoch": 0.86, + "learning_rate": 9.92694654920796e-07, + "loss": 0.8703, + "step": 10177 + }, + { + "epoch": 0.86, + "learning_rate": 9.915026485649714e-07, + "loss": 0.8587, + "step": 10178 + }, + { + "epoch": 0.86, + "learning_rate": 9.903113209758098e-07, + "loss": 0.8612, + "step": 10179 + }, + { + "epoch": 0.86, + "learning_rate": 9.891206722430735e-07, + "loss": 0.8775, + "step": 10180 + }, + { + "epoch": 0.86, + "learning_rate": 9.879307024564744e-07, + "loss": 0.8699, + "step": 10181 + }, + { + "epoch": 0.86, + "learning_rate": 9.867414117056763e-07, + "loss": 0.8532, + "step": 10182 + }, + { + "epoch": 0.86, + "learning_rate": 9.85552800080286e-07, + "loss": 0.7986, + "step": 10183 + }, + { + "epoch": 0.86, + "learning_rate": 9.843648676698648e-07, + "loss": 0.849, + "step": 10184 + }, + { + "epoch": 0.86, + "learning_rate": 9.831776145639182e-07, + "loss": 0.8183, + "step": 10185 + }, + { + "epoch": 0.86, + "learning_rate": 9.81991040851904e-07, + "loss": 0.8473, + "step": 10186 + }, + { + "epoch": 0.86, + "learning_rate": 9.808051466232261e-07, + "loss": 0.8327, + "step": 10187 + }, + { + "epoch": 0.86, + "learning_rate": 9.796199319672416e-07, + "loss": 0.8686, + "step": 10188 + }, + { + "epoch": 0.86, + "learning_rate": 9.784353969732486e-07, + "loss": 0.8081, + "step": 10189 + }, + { + "epoch": 0.86, + "learning_rate": 9.77251541730504e-07, + "loss": 0.7935, + "step": 10190 + }, + { + "epoch": 0.86, + "learning_rate": 9.760683663282012e-07, + "loss": 0.8943, + "step": 10191 + }, + { + "epoch": 0.86, + "learning_rate": 9.748858708554975e-07, + "loss": 0.8586, + "step": 10192 + }, + { + "epoch": 0.86, + "learning_rate": 9.737040554014831e-07, + "loss": 0.8499, + "step": 10193 + }, + { + "epoch": 0.86, + "learning_rate": 9.725229200552123e-07, + "loss": 0.8545, + "step": 10194 + }, + { + "epoch": 0.86, + "learning_rate": 9.713424649056735e-07, + "loss": 0.8744, + "step": 10195 + }, + { + "epoch": 0.86, + "learning_rate": 9.70162690041817e-07, + "loss": 0.849, + "step": 10196 + }, + { + "epoch": 0.86, + "learning_rate": 9.689835955525307e-07, + "loss": 0.8578, + "step": 10197 + }, + { + "epoch": 0.86, + "learning_rate": 9.678051815266587e-07, + "loss": 0.8392, + "step": 10198 + }, + { + "epoch": 0.86, + "learning_rate": 9.666274480529936e-07, + "loss": 0.8724, + "step": 10199 + }, + { + "epoch": 0.86, + "learning_rate": 9.654503952202687e-07, + "loss": 0.8528, + "step": 10200 + }, + { + "epoch": 0.86, + "learning_rate": 9.642740231171787e-07, + "loss": 0.827, + "step": 10201 + }, + { + "epoch": 0.86, + "learning_rate": 9.630983318323527e-07, + "loss": 0.8415, + "step": 10202 + }, + { + "epoch": 0.86, + "learning_rate": 9.619233214543833e-07, + "loss": 0.8224, + "step": 10203 + }, + { + "epoch": 0.86, + "learning_rate": 9.607489920717983e-07, + "loss": 0.8358, + "step": 10204 + }, + { + "epoch": 0.86, + "learning_rate": 9.59575343773087e-07, + "loss": 0.8499, + "step": 10205 + }, + { + "epoch": 0.86, + "learning_rate": 9.584023766466721e-07, + "loss": 0.8535, + "step": 10206 + }, + { + "epoch": 0.87, + "learning_rate": 9.572300907809428e-07, + "loss": 0.8667, + "step": 10207 + }, + { + "epoch": 0.87, + "learning_rate": 9.560584862642197e-07, + "loss": 0.8842, + "step": 10208 + }, + { + "epoch": 0.87, + "learning_rate": 9.548875631847875e-07, + "loss": 0.8136, + "step": 10209 + }, + { + "epoch": 0.87, + "learning_rate": 9.53717321630866e-07, + "loss": 0.8457, + "step": 10210 + }, + { + "epoch": 0.87, + "learning_rate": 9.525477616906331e-07, + "loss": 0.8416, + "step": 10211 + }, + { + "epoch": 0.87, + "learning_rate": 9.513788834522108e-07, + "loss": 0.8361, + "step": 10212 + }, + { + "epoch": 0.87, + "learning_rate": 9.502106870036709e-07, + "loss": 0.7848, + "step": 10213 + }, + { + "epoch": 0.87, + "learning_rate": 9.490431724330352e-07, + "loss": 0.886, + "step": 10214 + }, + { + "epoch": 0.87, + "learning_rate": 9.47876339828272e-07, + "loss": 0.8531, + "step": 10215 + }, + { + "epoch": 0.87, + "learning_rate": 9.46710189277299e-07, + "loss": 0.8672, + "step": 10216 + }, + { + "epoch": 0.87, + "learning_rate": 9.455447208679836e-07, + "loss": 0.8448, + "step": 10217 + }, + { + "epoch": 0.87, + "learning_rate": 9.443799346881388e-07, + "loss": 0.8557, + "step": 10218 + }, + { + "epoch": 0.87, + "learning_rate": 9.432158308255301e-07, + "loss": 0.8782, + "step": 10219 + }, + { + "epoch": 0.87, + "learning_rate": 9.420524093678696e-07, + "loss": 0.832, + "step": 10220 + }, + { + "epoch": 0.87, + "learning_rate": 9.40889670402817e-07, + "loss": 0.8329, + "step": 10221 + }, + { + "epoch": 0.87, + "learning_rate": 9.397276140179823e-07, + "loss": 0.5177, + "step": 10222 + }, + { + "epoch": 0.87, + "learning_rate": 9.385662403009222e-07, + "loss": 0.872, + "step": 10223 + }, + { + "epoch": 0.87, + "learning_rate": 9.374055493391455e-07, + "loss": 0.8362, + "step": 10224 + }, + { + "epoch": 0.87, + "learning_rate": 9.362455412201043e-07, + "loss": 0.8377, + "step": 10225 + }, + { + "epoch": 0.87, + "learning_rate": 9.350862160312046e-07, + "loss": 0.8503, + "step": 10226 + }, + { + "epoch": 0.87, + "learning_rate": 9.339275738597975e-07, + "loss": 0.8338, + "step": 10227 + }, + { + "epoch": 0.87, + "learning_rate": 9.327696147931842e-07, + "loss": 0.909, + "step": 10228 + }, + { + "epoch": 0.87, + "learning_rate": 9.316123389186138e-07, + "loss": 0.8466, + "step": 10229 + }, + { + "epoch": 0.87, + "learning_rate": 9.304557463232844e-07, + "loss": 0.8733, + "step": 10230 + }, + { + "epoch": 0.87, + "learning_rate": 9.292998370943385e-07, + "loss": 0.8685, + "step": 10231 + }, + { + "epoch": 0.87, + "learning_rate": 9.281446113188774e-07, + "loss": 0.8546, + "step": 10232 + }, + { + "epoch": 0.87, + "learning_rate": 9.269900690839373e-07, + "loss": 0.8327, + "step": 10233 + }, + { + "epoch": 0.87, + "learning_rate": 9.258362104765173e-07, + "loss": 0.849, + "step": 10234 + }, + { + "epoch": 0.87, + "learning_rate": 9.24683035583549e-07, + "loss": 0.8573, + "step": 10235 + }, + { + "epoch": 0.87, + "learning_rate": 9.235305444919307e-07, + "loss": 0.8316, + "step": 10236 + }, + { + "epoch": 0.87, + "learning_rate": 9.223787372884896e-07, + "loss": 0.8609, + "step": 10237 + }, + { + "epoch": 0.87, + "learning_rate": 9.212276140600218e-07, + "loss": 0.8946, + "step": 10238 + }, + { + "epoch": 0.87, + "learning_rate": 9.200771748932513e-07, + "loss": 0.8605, + "step": 10239 + }, + { + "epoch": 0.87, + "learning_rate": 9.189274198748688e-07, + "loss": 0.8461, + "step": 10240 + }, + { + "epoch": 0.87, + "learning_rate": 9.177783490915015e-07, + "loss": 0.861, + "step": 10241 + }, + { + "epoch": 0.87, + "learning_rate": 9.166299626297271e-07, + "loss": 0.8233, + "step": 10242 + }, + { + "epoch": 0.87, + "learning_rate": 9.154822605760782e-07, + "loss": 0.8721, + "step": 10243 + }, + { + "epoch": 0.87, + "learning_rate": 9.14335243017026e-07, + "loss": 0.9095, + "step": 10244 + }, + { + "epoch": 0.87, + "learning_rate": 9.131889100390024e-07, + "loss": 0.891, + "step": 10245 + }, + { + "epoch": 0.87, + "learning_rate": 9.120432617283714e-07, + "loss": 0.8441, + "step": 10246 + }, + { + "epoch": 0.87, + "learning_rate": 9.108982981714631e-07, + "loss": 0.8751, + "step": 10247 + }, + { + "epoch": 0.87, + "learning_rate": 9.097540194545407e-07, + "loss": 0.8354, + "step": 10248 + }, + { + "epoch": 0.87, + "learning_rate": 9.086104256638284e-07, + "loss": 0.8043, + "step": 10249 + }, + { + "epoch": 0.87, + "learning_rate": 9.074675168854874e-07, + "loss": 0.8098, + "step": 10250 + }, + { + "epoch": 0.87, + "learning_rate": 9.063252932056399e-07, + "loss": 0.8771, + "step": 10251 + }, + { + "epoch": 0.87, + "learning_rate": 9.051837547103426e-07, + "loss": 0.8471, + "step": 10252 + }, + { + "epoch": 0.87, + "learning_rate": 9.0404290148561e-07, + "loss": 0.8806, + "step": 10253 + }, + { + "epoch": 0.87, + "learning_rate": 9.029027336174023e-07, + "loss": 0.848, + "step": 10254 + }, + { + "epoch": 0.87, + "learning_rate": 9.017632511916296e-07, + "loss": 0.5077, + "step": 10255 + }, + { + "epoch": 0.87, + "learning_rate": 9.006244542941467e-07, + "loss": 0.9047, + "step": 10256 + }, + { + "epoch": 0.87, + "learning_rate": 8.994863430107603e-07, + "loss": 0.8065, + "step": 10257 + }, + { + "epoch": 0.87, + "learning_rate": 8.983489174272242e-07, + "loss": 0.8297, + "step": 10258 + }, + { + "epoch": 0.87, + "learning_rate": 8.972121776292386e-07, + "loss": 0.9022, + "step": 10259 + }, + { + "epoch": 0.87, + "learning_rate": 8.960761237024573e-07, + "loss": 0.8261, + "step": 10260 + }, + { + "epoch": 0.87, + "learning_rate": 8.949407557324752e-07, + "loss": 0.8145, + "step": 10261 + }, + { + "epoch": 0.87, + "learning_rate": 8.938060738048415e-07, + "loss": 0.8433, + "step": 10262 + }, + { + "epoch": 0.87, + "learning_rate": 8.926720780050513e-07, + "loss": 0.8301, + "step": 10263 + }, + { + "epoch": 0.87, + "learning_rate": 8.915387684185484e-07, + "loss": 0.8526, + "step": 10264 + }, + { + "epoch": 0.87, + "learning_rate": 8.904061451307234e-07, + "loss": 0.8395, + "step": 10265 + }, + { + "epoch": 0.87, + "learning_rate": 8.892742082269179e-07, + "loss": 0.8809, + "step": 10266 + }, + { + "epoch": 0.87, + "learning_rate": 8.881429577924206e-07, + "loss": 0.8608, + "step": 10267 + }, + { + "epoch": 0.87, + "learning_rate": 8.870123939124665e-07, + "loss": 0.8301, + "step": 10268 + }, + { + "epoch": 0.87, + "learning_rate": 8.858825166722418e-07, + "loss": 0.8139, + "step": 10269 + }, + { + "epoch": 0.87, + "learning_rate": 8.847533261568797e-07, + "loss": 0.8334, + "step": 10270 + }, + { + "epoch": 0.87, + "learning_rate": 8.83624822451461e-07, + "loss": 0.8907, + "step": 10271 + }, + { + "epoch": 0.87, + "learning_rate": 8.824970056410187e-07, + "loss": 0.5182, + "step": 10272 + }, + { + "epoch": 0.87, + "learning_rate": 8.813698758105249e-07, + "loss": 0.8885, + "step": 10273 + }, + { + "epoch": 0.87, + "learning_rate": 8.802434330449128e-07, + "loss": 0.7927, + "step": 10274 + }, + { + "epoch": 0.87, + "learning_rate": 8.7911767742905e-07, + "loss": 0.8665, + "step": 10275 + }, + { + "epoch": 0.87, + "learning_rate": 8.779926090477653e-07, + "loss": 0.8108, + "step": 10276 + }, + { + "epoch": 0.87, + "learning_rate": 8.768682279858242e-07, + "loss": 0.847, + "step": 10277 + }, + { + "epoch": 0.87, + "learning_rate": 8.757445343279514e-07, + "loss": 0.9017, + "step": 10278 + }, + { + "epoch": 0.87, + "learning_rate": 8.746215281588088e-07, + "loss": 0.8234, + "step": 10279 + }, + { + "epoch": 0.87, + "learning_rate": 8.734992095630179e-07, + "loss": 0.8857, + "step": 10280 + }, + { + "epoch": 0.87, + "learning_rate": 8.723775786251354e-07, + "loss": 0.8174, + "step": 10281 + }, + { + "epoch": 0.87, + "learning_rate": 8.712566354296814e-07, + "loss": 0.8481, + "step": 10282 + }, + { + "epoch": 0.87, + "learning_rate": 8.701363800611096e-07, + "loss": 0.86, + "step": 10283 + }, + { + "epoch": 0.87, + "learning_rate": 8.690168126038301e-07, + "loss": 0.8544, + "step": 10284 + }, + { + "epoch": 0.87, + "learning_rate": 8.678979331421999e-07, + "loss": 0.8448, + "step": 10285 + }, + { + "epoch": 0.87, + "learning_rate": 8.667797417605228e-07, + "loss": 0.8255, + "step": 10286 + }, + { + "epoch": 0.87, + "learning_rate": 8.656622385430547e-07, + "loss": 0.8024, + "step": 10287 + }, + { + "epoch": 0.87, + "learning_rate": 8.645454235739903e-07, + "loss": 0.8763, + "step": 10288 + }, + { + "epoch": 0.87, + "learning_rate": 8.634292969374869e-07, + "loss": 0.8631, + "step": 10289 + }, + { + "epoch": 0.87, + "learning_rate": 8.623138587176327e-07, + "loss": 0.8651, + "step": 10290 + }, + { + "epoch": 0.87, + "learning_rate": 8.611991089984816e-07, + "loss": 0.808, + "step": 10291 + }, + { + "epoch": 0.87, + "learning_rate": 8.600850478640199e-07, + "loss": 0.9349, + "step": 10292 + }, + { + "epoch": 0.87, + "learning_rate": 8.589716753981958e-07, + "loss": 0.896, + "step": 10293 + }, + { + "epoch": 0.87, + "learning_rate": 8.578589916848933e-07, + "loss": 0.8862, + "step": 10294 + }, + { + "epoch": 0.87, + "learning_rate": 8.567469968079534e-07, + "loss": 0.898, + "step": 10295 + }, + { + "epoch": 0.87, + "learning_rate": 8.556356908511598e-07, + "loss": 0.8531, + "step": 10296 + }, + { + "epoch": 0.87, + "learning_rate": 8.545250738982491e-07, + "loss": 0.8913, + "step": 10297 + }, + { + "epoch": 0.87, + "learning_rate": 8.53415146032901e-07, + "loss": 0.8535, + "step": 10298 + }, + { + "epoch": 0.87, + "learning_rate": 8.523059073387474e-07, + "loss": 0.82, + "step": 10299 + }, + { + "epoch": 0.87, + "learning_rate": 8.511973578993649e-07, + "loss": 0.4529, + "step": 10300 + }, + { + "epoch": 0.87, + "learning_rate": 8.500894977982821e-07, + "loss": 0.8324, + "step": 10301 + }, + { + "epoch": 0.87, + "learning_rate": 8.489823271189712e-07, + "loss": 0.855, + "step": 10302 + }, + { + "epoch": 0.87, + "learning_rate": 8.478758459448555e-07, + "loss": 0.855, + "step": 10303 + }, + { + "epoch": 0.87, + "learning_rate": 8.467700543593049e-07, + "loss": 0.8513, + "step": 10304 + }, + { + "epoch": 0.87, + "learning_rate": 8.456649524456384e-07, + "loss": 0.8641, + "step": 10305 + }, + { + "epoch": 0.87, + "learning_rate": 8.445605402871226e-07, + "loss": 0.8576, + "step": 10306 + }, + { + "epoch": 0.87, + "learning_rate": 8.434568179669722e-07, + "loss": 0.8045, + "step": 10307 + }, + { + "epoch": 0.87, + "learning_rate": 8.423537855683494e-07, + "loss": 0.809, + "step": 10308 + }, + { + "epoch": 0.87, + "learning_rate": 8.412514431743657e-07, + "loss": 0.8637, + "step": 10309 + }, + { + "epoch": 0.87, + "learning_rate": 8.401497908680778e-07, + "loss": 0.8609, + "step": 10310 + }, + { + "epoch": 0.87, + "learning_rate": 8.390488287324938e-07, + "loss": 0.8671, + "step": 10311 + }, + { + "epoch": 0.87, + "learning_rate": 8.379485568505686e-07, + "loss": 0.8164, + "step": 10312 + }, + { + "epoch": 0.87, + "learning_rate": 8.368489753052034e-07, + "loss": 0.803, + "step": 10313 + }, + { + "epoch": 0.87, + "learning_rate": 8.35750084179251e-07, + "loss": 0.8954, + "step": 10314 + }, + { + "epoch": 0.87, + "learning_rate": 8.346518835555062e-07, + "loss": 0.5751, + "step": 10315 + }, + { + "epoch": 0.87, + "learning_rate": 8.335543735167206e-07, + "loss": 0.8796, + "step": 10316 + }, + { + "epoch": 0.87, + "learning_rate": 8.324575541455815e-07, + "loss": 0.8226, + "step": 10317 + }, + { + "epoch": 0.87, + "learning_rate": 8.313614255247404e-07, + "loss": 0.8643, + "step": 10318 + }, + { + "epoch": 0.87, + "learning_rate": 8.302659877367803e-07, + "loss": 0.8653, + "step": 10319 + }, + { + "epoch": 0.87, + "learning_rate": 8.29171240864245e-07, + "loss": 0.4979, + "step": 10320 + }, + { + "epoch": 0.87, + "learning_rate": 8.280771849896141e-07, + "loss": 0.5745, + "step": 10321 + }, + { + "epoch": 0.87, + "learning_rate": 8.269838201953306e-07, + "loss": 0.862, + "step": 10322 + }, + { + "epoch": 0.87, + "learning_rate": 8.258911465637675e-07, + "loss": 0.849, + "step": 10323 + }, + { + "epoch": 0.87, + "learning_rate": 8.247991641772634e-07, + "loss": 0.8276, + "step": 10324 + }, + { + "epoch": 0.88, + "learning_rate": 8.237078731180914e-07, + "loss": 0.8423, + "step": 10325 + }, + { + "epoch": 0.88, + "learning_rate": 8.226172734684779e-07, + "loss": 0.8474, + "step": 10326 + }, + { + "epoch": 0.88, + "learning_rate": 8.215273653105959e-07, + "loss": 0.8699, + "step": 10327 + }, + { + "epoch": 0.88, + "learning_rate": 8.2043814872657e-07, + "loss": 0.8618, + "step": 10328 + }, + { + "epoch": 0.88, + "learning_rate": 8.193496237984677e-07, + "loss": 0.8585, + "step": 10329 + }, + { + "epoch": 0.88, + "learning_rate": 8.182617906083046e-07, + "loss": 0.8472, + "step": 10330 + }, + { + "epoch": 0.88, + "learning_rate": 8.171746492380528e-07, + "loss": 0.4839, + "step": 10331 + }, + { + "epoch": 0.88, + "learning_rate": 8.160881997696169e-07, + "loss": 0.8385, + "step": 10332 + }, + { + "epoch": 0.88, + "learning_rate": 8.150024422848668e-07, + "loss": 0.8415, + "step": 10333 + }, + { + "epoch": 0.88, + "learning_rate": 8.139173768656028e-07, + "loss": 0.9046, + "step": 10334 + }, + { + "epoch": 0.88, + "learning_rate": 8.128330035935906e-07, + "loss": 0.8581, + "step": 10335 + }, + { + "epoch": 0.88, + "learning_rate": 8.11749322550528e-07, + "loss": 0.89, + "step": 10336 + }, + { + "epoch": 0.88, + "learning_rate": 8.106663338180687e-07, + "loss": 0.8564, + "step": 10337 + }, + { + "epoch": 0.88, + "learning_rate": 8.095840374778153e-07, + "loss": 0.8623, + "step": 10338 + }, + { + "epoch": 0.88, + "learning_rate": 8.085024336113145e-07, + "loss": 0.8992, + "step": 10339 + }, + { + "epoch": 0.88, + "learning_rate": 8.074215223000625e-07, + "loss": 0.8305, + "step": 10340 + }, + { + "epoch": 0.88, + "learning_rate": 8.063413036255041e-07, + "loss": 0.8616, + "step": 10341 + }, + { + "epoch": 0.88, + "learning_rate": 8.052617776690285e-07, + "loss": 0.8646, + "step": 10342 + }, + { + "epoch": 0.88, + "learning_rate": 8.041829445119786e-07, + "loss": 0.5509, + "step": 10343 + }, + { + "epoch": 0.88, + "learning_rate": 8.031048042356393e-07, + "loss": 0.8357, + "step": 10344 + }, + { + "epoch": 0.88, + "learning_rate": 8.020273569212456e-07, + "loss": 0.8831, + "step": 10345 + }, + { + "epoch": 0.88, + "learning_rate": 8.009506026499813e-07, + "loss": 0.8674, + "step": 10346 + }, + { + "epoch": 0.88, + "learning_rate": 7.998745415029762e-07, + "loss": 0.866, + "step": 10347 + }, + { + "epoch": 0.88, + "learning_rate": 7.987991735613098e-07, + "loss": 0.8592, + "step": 10348 + }, + { + "epoch": 0.88, + "learning_rate": 7.977244989060073e-07, + "loss": 0.8581, + "step": 10349 + }, + { + "epoch": 0.88, + "learning_rate": 7.966505176180428e-07, + "loss": 0.8598, + "step": 10350 + }, + { + "epoch": 0.88, + "learning_rate": 7.955772297783382e-07, + "loss": 0.8434, + "step": 10351 + }, + { + "epoch": 0.88, + "learning_rate": 7.945046354677621e-07, + "loss": 0.8484, + "step": 10352 + }, + { + "epoch": 0.88, + "learning_rate": 7.934327347671333e-07, + "loss": 0.8682, + "step": 10353 + }, + { + "epoch": 0.88, + "learning_rate": 7.92361527757215e-07, + "loss": 0.887, + "step": 10354 + }, + { + "epoch": 0.88, + "learning_rate": 7.912910145187213e-07, + "loss": 0.8152, + "step": 10355 + }, + { + "epoch": 0.88, + "learning_rate": 7.902211951323135e-07, + "loss": 0.8536, + "step": 10356 + }, + { + "epoch": 0.88, + "learning_rate": 7.891520696785937e-07, + "loss": 0.8712, + "step": 10357 + }, + { + "epoch": 0.88, + "learning_rate": 7.880836382381262e-07, + "loss": 0.8371, + "step": 10358 + }, + { + "epoch": 0.88, + "learning_rate": 7.870159008914069e-07, + "loss": 0.8504, + "step": 10359 + }, + { + "epoch": 0.88, + "learning_rate": 7.859488577188945e-07, + "loss": 0.4709, + "step": 10360 + }, + { + "epoch": 0.88, + "learning_rate": 7.848825088009793e-07, + "loss": 0.8044, + "step": 10361 + }, + { + "epoch": 0.88, + "learning_rate": 7.838168542180169e-07, + "loss": 0.8196, + "step": 10362 + }, + { + "epoch": 0.88, + "learning_rate": 7.827518940502931e-07, + "loss": 0.8181, + "step": 10363 + }, + { + "epoch": 0.88, + "learning_rate": 7.816876283780583e-07, + "loss": 0.8512, + "step": 10364 + }, + { + "epoch": 0.88, + "learning_rate": 7.806240572814927e-07, + "loss": 0.8611, + "step": 10365 + }, + { + "epoch": 0.88, + "learning_rate": 7.795611808407433e-07, + "loss": 0.8391, + "step": 10366 + }, + { + "epoch": 0.88, + "learning_rate": 7.784989991358882e-07, + "loss": 0.8424, + "step": 10367 + }, + { + "epoch": 0.88, + "learning_rate": 7.774375122469624e-07, + "loss": 0.8602, + "step": 10368 + }, + { + "epoch": 0.88, + "learning_rate": 7.763767202539462e-07, + "loss": 0.7982, + "step": 10369 + }, + { + "epoch": 0.88, + "learning_rate": 7.753166232367671e-07, + "loss": 0.8409, + "step": 10370 + }, + { + "epoch": 0.88, + "learning_rate": 7.742572212753008e-07, + "loss": 0.8635, + "step": 10371 + }, + { + "epoch": 0.88, + "learning_rate": 7.731985144493703e-07, + "loss": 0.8571, + "step": 10372 + }, + { + "epoch": 0.88, + "learning_rate": 7.721405028387463e-07, + "loss": 0.8446, + "step": 10373 + }, + { + "epoch": 0.88, + "learning_rate": 7.710831865231461e-07, + "loss": 0.8513, + "step": 10374 + }, + { + "epoch": 0.88, + "learning_rate": 7.700265655822403e-07, + "loss": 0.8902, + "step": 10375 + }, + { + "epoch": 0.88, + "learning_rate": 7.689706400956354e-07, + "loss": 0.5545, + "step": 10376 + }, + { + "epoch": 0.88, + "learning_rate": 7.679154101428998e-07, + "loss": 0.8624, + "step": 10377 + }, + { + "epoch": 0.88, + "learning_rate": 7.668608758035379e-07, + "loss": 0.8287, + "step": 10378 + }, + { + "epoch": 0.88, + "learning_rate": 7.65807037157007e-07, + "loss": 0.8569, + "step": 10379 + }, + { + "epoch": 0.88, + "learning_rate": 7.647538942827115e-07, + "loss": 0.5171, + "step": 10380 + }, + { + "epoch": 0.88, + "learning_rate": 7.637014472600024e-07, + "loss": 0.8629, + "step": 10381 + }, + { + "epoch": 0.88, + "learning_rate": 7.626496961681795e-07, + "loss": 0.8509, + "step": 10382 + }, + { + "epoch": 0.88, + "learning_rate": 7.615986410864895e-07, + "loss": 0.8971, + "step": 10383 + }, + { + "epoch": 0.88, + "learning_rate": 7.605482820941257e-07, + "loss": 0.8141, + "step": 10384 + }, + { + "epoch": 0.88, + "learning_rate": 7.594986192702303e-07, + "loss": 0.8532, + "step": 10385 + }, + { + "epoch": 0.88, + "learning_rate": 7.584496526938933e-07, + "loss": 0.84, + "step": 10386 + }, + { + "epoch": 0.88, + "learning_rate": 7.574013824441506e-07, + "loss": 0.891, + "step": 10387 + }, + { + "epoch": 0.88, + "learning_rate": 7.563538085999878e-07, + "loss": 0.8748, + "step": 10388 + }, + { + "epoch": 0.88, + "learning_rate": 7.55306931240335e-07, + "loss": 0.8357, + "step": 10389 + }, + { + "epoch": 0.88, + "learning_rate": 7.542607504440736e-07, + "loss": 0.8497, + "step": 10390 + }, + { + "epoch": 0.88, + "learning_rate": 7.532152662900294e-07, + "loss": 0.8163, + "step": 10391 + }, + { + "epoch": 0.88, + "learning_rate": 7.521704788569783e-07, + "loss": 0.8609, + "step": 10392 + }, + { + "epoch": 0.88, + "learning_rate": 7.511263882236408e-07, + "loss": 0.8316, + "step": 10393 + }, + { + "epoch": 0.88, + "learning_rate": 7.50082994468686e-07, + "loss": 0.8134, + "step": 10394 + }, + { + "epoch": 0.88, + "learning_rate": 7.490402976707323e-07, + "loss": 0.847, + "step": 10395 + }, + { + "epoch": 0.88, + "learning_rate": 7.479982979083444e-07, + "loss": 0.8897, + "step": 10396 + }, + { + "epoch": 0.88, + "learning_rate": 7.46956995260033e-07, + "loss": 0.8528, + "step": 10397 + }, + { + "epoch": 0.88, + "learning_rate": 7.459163898042599e-07, + "loss": 0.8994, + "step": 10398 + }, + { + "epoch": 0.88, + "learning_rate": 7.448764816194254e-07, + "loss": 0.8438, + "step": 10399 + }, + { + "epoch": 0.88, + "learning_rate": 7.438372707838937e-07, + "loss": 0.8715, + "step": 10400 + }, + { + "epoch": 0.88, + "learning_rate": 7.427987573759576e-07, + "loss": 0.7666, + "step": 10401 + }, + { + "epoch": 0.88, + "learning_rate": 7.417609414738725e-07, + "loss": 0.8937, + "step": 10402 + }, + { + "epoch": 0.88, + "learning_rate": 7.407238231558312e-07, + "loss": 0.8132, + "step": 10403 + }, + { + "epoch": 0.88, + "learning_rate": 7.396874024999811e-07, + "loss": 0.8175, + "step": 10404 + }, + { + "epoch": 0.88, + "learning_rate": 7.386516795844101e-07, + "loss": 0.883, + "step": 10405 + }, + { + "epoch": 0.88, + "learning_rate": 7.376166544871621e-07, + "loss": 0.8267, + "step": 10406 + }, + { + "epoch": 0.88, + "learning_rate": 7.365823272862183e-07, + "loss": 0.8679, + "step": 10407 + }, + { + "epoch": 0.88, + "learning_rate": 7.355486980595172e-07, + "loss": 0.8011, + "step": 10408 + }, + { + "epoch": 0.88, + "learning_rate": 7.345157668849368e-07, + "loss": 0.8624, + "step": 10409 + }, + { + "epoch": 0.88, + "learning_rate": 7.334835338403056e-07, + "loss": 0.8287, + "step": 10410 + }, + { + "epoch": 0.88, + "learning_rate": 7.324519990034018e-07, + "loss": 0.8266, + "step": 10411 + }, + { + "epoch": 0.88, + "learning_rate": 7.314211624519473e-07, + "loss": 0.8349, + "step": 10412 + }, + { + "epoch": 0.88, + "learning_rate": 7.303910242636147e-07, + "loss": 0.9067, + "step": 10413 + }, + { + "epoch": 0.88, + "learning_rate": 7.293615845160196e-07, + "loss": 0.7807, + "step": 10414 + }, + { + "epoch": 0.88, + "learning_rate": 7.283328432867299e-07, + "loss": 0.4814, + "step": 10415 + }, + { + "epoch": 0.88, + "learning_rate": 7.273048006532569e-07, + "loss": 0.8733, + "step": 10416 + }, + { + "epoch": 0.88, + "learning_rate": 7.26277456693063e-07, + "loss": 0.8933, + "step": 10417 + }, + { + "epoch": 0.88, + "learning_rate": 7.25250811483551e-07, + "loss": 0.8371, + "step": 10418 + }, + { + "epoch": 0.88, + "learning_rate": 7.242248651020845e-07, + "loss": 0.8337, + "step": 10419 + }, + { + "epoch": 0.88, + "learning_rate": 7.231996176259581e-07, + "loss": 0.8648, + "step": 10420 + }, + { + "epoch": 0.88, + "learning_rate": 7.221750691324247e-07, + "loss": 0.8699, + "step": 10421 + }, + { + "epoch": 0.88, + "learning_rate": 7.211512196986803e-07, + "loss": 0.8679, + "step": 10422 + }, + { + "epoch": 0.88, + "learning_rate": 7.201280694018708e-07, + "loss": 0.8684, + "step": 10423 + }, + { + "epoch": 0.88, + "learning_rate": 7.19105618319087e-07, + "loss": 0.8432, + "step": 10424 + }, + { + "epoch": 0.88, + "learning_rate": 7.18083866527367e-07, + "loss": 0.8208, + "step": 10425 + }, + { + "epoch": 0.88, + "learning_rate": 7.170628141036984e-07, + "loss": 0.8603, + "step": 10426 + }, + { + "epoch": 0.88, + "learning_rate": 7.160424611250139e-07, + "loss": 0.7832, + "step": 10427 + }, + { + "epoch": 0.88, + "learning_rate": 7.150228076681954e-07, + "loss": 0.5158, + "step": 10428 + }, + { + "epoch": 0.88, + "learning_rate": 7.140038538100714e-07, + "loss": 0.8405, + "step": 10429 + }, + { + "epoch": 0.88, + "learning_rate": 7.129855996274148e-07, + "loss": 0.8091, + "step": 10430 + }, + { + "epoch": 0.88, + "learning_rate": 7.119680451969524e-07, + "loss": 0.9062, + "step": 10431 + }, + { + "epoch": 0.88, + "learning_rate": 7.109511905953504e-07, + "loss": 0.8063, + "step": 10432 + }, + { + "epoch": 0.88, + "learning_rate": 7.099350358992285e-07, + "loss": 0.8101, + "step": 10433 + }, + { + "epoch": 0.88, + "learning_rate": 7.089195811851502e-07, + "loss": 0.8496, + "step": 10434 + }, + { + "epoch": 0.88, + "learning_rate": 7.079048265296285e-07, + "loss": 0.8639, + "step": 10435 + }, + { + "epoch": 0.88, + "learning_rate": 7.068907720091211e-07, + "loss": 0.8218, + "step": 10436 + }, + { + "epoch": 0.88, + "learning_rate": 7.05877417700035e-07, + "loss": 0.8134, + "step": 10437 + }, + { + "epoch": 0.88, + "learning_rate": 7.048647636787242e-07, + "loss": 0.8624, + "step": 10438 + }, + { + "epoch": 0.88, + "learning_rate": 7.038528100214892e-07, + "loss": 0.8356, + "step": 10439 + }, + { + "epoch": 0.88, + "learning_rate": 7.028415568045799e-07, + "loss": 0.8618, + "step": 10440 + }, + { + "epoch": 0.88, + "learning_rate": 7.018310041041854e-07, + "loss": 0.8697, + "step": 10441 + }, + { + "epoch": 0.88, + "learning_rate": 7.008211519964558e-07, + "loss": 0.8464, + "step": 10442 + }, + { + "epoch": 0.89, + "learning_rate": 6.998120005574749e-07, + "loss": 0.8286, + "step": 10443 + }, + { + "epoch": 0.89, + "learning_rate": 6.98803549863285e-07, + "loss": 0.6332, + "step": 10444 + }, + { + "epoch": 0.89, + "learning_rate": 6.977957999898643e-07, + "loss": 0.8283, + "step": 10445 + }, + { + "epoch": 0.89, + "learning_rate": 6.96788751013151e-07, + "loss": 0.8421, + "step": 10446 + }, + { + "epoch": 0.89, + "learning_rate": 6.957824030090165e-07, + "loss": 0.8291, + "step": 10447 + }, + { + "epoch": 0.89, + "learning_rate": 6.947767560532925e-07, + "loss": 0.9014, + "step": 10448 + }, + { + "epoch": 0.89, + "learning_rate": 6.937718102217461e-07, + "loss": 0.837, + "step": 10449 + }, + { + "epoch": 0.89, + "learning_rate": 6.927675655901034e-07, + "loss": 0.502, + "step": 10450 + }, + { + "epoch": 0.89, + "learning_rate": 6.917640222340272e-07, + "loss": 0.859, + "step": 10451 + }, + { + "epoch": 0.89, + "learning_rate": 6.907611802291325e-07, + "loss": 0.8628, + "step": 10452 + }, + { + "epoch": 0.89, + "learning_rate": 6.897590396509823e-07, + "loss": 0.8968, + "step": 10453 + }, + { + "epoch": 0.89, + "learning_rate": 6.887576005750851e-07, + "loss": 0.8133, + "step": 10454 + }, + { + "epoch": 0.89, + "learning_rate": 6.87756863076896e-07, + "loss": 0.8809, + "step": 10455 + }, + { + "epoch": 0.89, + "learning_rate": 6.867568272318171e-07, + "loss": 0.8446, + "step": 10456 + }, + { + "epoch": 0.89, + "learning_rate": 6.857574931152e-07, + "loss": 0.8097, + "step": 10457 + }, + { + "epoch": 0.89, + "learning_rate": 6.847588608023414e-07, + "loss": 0.8592, + "step": 10458 + }, + { + "epoch": 0.89, + "learning_rate": 6.837609303684856e-07, + "loss": 0.8657, + "step": 10459 + }, + { + "epoch": 0.89, + "learning_rate": 6.827637018888245e-07, + "loss": 0.8434, + "step": 10460 + }, + { + "epoch": 0.89, + "learning_rate": 6.817671754384958e-07, + "loss": 0.831, + "step": 10461 + }, + { + "epoch": 0.89, + "learning_rate": 6.807713510925862e-07, + "loss": 0.8417, + "step": 10462 + }, + { + "epoch": 0.89, + "learning_rate": 6.797762289261268e-07, + "loss": 0.8758, + "step": 10463 + }, + { + "epoch": 0.89, + "learning_rate": 6.787818090140985e-07, + "loss": 0.8817, + "step": 10464 + }, + { + "epoch": 0.89, + "learning_rate": 6.777880914314294e-07, + "loss": 0.8462, + "step": 10465 + }, + { + "epoch": 0.89, + "learning_rate": 6.767950762529907e-07, + "loss": 0.8725, + "step": 10466 + }, + { + "epoch": 0.89, + "learning_rate": 6.758027635536057e-07, + "loss": 0.8559, + "step": 10467 + }, + { + "epoch": 0.89, + "learning_rate": 6.748111534080426e-07, + "loss": 0.8767, + "step": 10468 + }, + { + "epoch": 0.89, + "learning_rate": 6.73820245891016e-07, + "loss": 0.821, + "step": 10469 + }, + { + "epoch": 0.89, + "learning_rate": 6.728300410771871e-07, + "loss": 0.8179, + "step": 10470 + }, + { + "epoch": 0.89, + "learning_rate": 6.718405390411676e-07, + "loss": 0.8676, + "step": 10471 + }, + { + "epoch": 0.89, + "learning_rate": 6.708517398575121e-07, + "loss": 0.8317, + "step": 10472 + }, + { + "epoch": 0.89, + "learning_rate": 6.698636436007256e-07, + "loss": 0.8206, + "step": 10473 + }, + { + "epoch": 0.89, + "learning_rate": 6.688762503452551e-07, + "loss": 0.5254, + "step": 10474 + }, + { + "epoch": 0.89, + "learning_rate": 6.678895601655012e-07, + "loss": 0.8212, + "step": 10475 + }, + { + "epoch": 0.89, + "learning_rate": 6.669035731358075e-07, + "loss": 0.8148, + "step": 10476 + }, + { + "epoch": 0.89, + "learning_rate": 6.659182893304672e-07, + "loss": 0.8604, + "step": 10477 + }, + { + "epoch": 0.89, + "learning_rate": 6.649337088237162e-07, + "loss": 0.8585, + "step": 10478 + }, + { + "epoch": 0.89, + "learning_rate": 6.639498316897419e-07, + "loss": 0.8314, + "step": 10479 + }, + { + "epoch": 0.89, + "learning_rate": 6.62966658002675e-07, + "loss": 0.8248, + "step": 10480 + }, + { + "epoch": 0.89, + "learning_rate": 6.619841878365974e-07, + "loss": 0.8902, + "step": 10481 + }, + { + "epoch": 0.89, + "learning_rate": 6.610024212655364e-07, + "loss": 0.8846, + "step": 10482 + }, + { + "epoch": 0.89, + "learning_rate": 6.600213583634596e-07, + "loss": 0.8458, + "step": 10483 + }, + { + "epoch": 0.89, + "learning_rate": 6.590409992042957e-07, + "loss": 0.8824, + "step": 10484 + }, + { + "epoch": 0.89, + "learning_rate": 6.580613438619044e-07, + "loss": 0.847, + "step": 10485 + }, + { + "epoch": 0.89, + "learning_rate": 6.570823924101067e-07, + "loss": 0.8538, + "step": 10486 + }, + { + "epoch": 0.89, + "learning_rate": 6.561041449226579e-07, + "loss": 0.8617, + "step": 10487 + }, + { + "epoch": 0.89, + "learning_rate": 6.551266014732738e-07, + "loss": 0.8321, + "step": 10488 + }, + { + "epoch": 0.89, + "learning_rate": 6.541497621356008e-07, + "loss": 0.8445, + "step": 10489 + }, + { + "epoch": 0.89, + "learning_rate": 6.5317362698325e-07, + "loss": 0.8479, + "step": 10490 + }, + { + "epoch": 0.89, + "learning_rate": 6.521981960897639e-07, + "loss": 0.8698, + "step": 10491 + }, + { + "epoch": 0.89, + "learning_rate": 6.512234695286446e-07, + "loss": 0.874, + "step": 10492 + }, + { + "epoch": 0.89, + "learning_rate": 6.50249447373329e-07, + "loss": 0.8576, + "step": 10493 + }, + { + "epoch": 0.89, + "learning_rate": 6.492761296972117e-07, + "loss": 0.8731, + "step": 10494 + }, + { + "epoch": 0.89, + "learning_rate": 6.483035165736274e-07, + "loss": 0.8402, + "step": 10495 + }, + { + "epoch": 0.89, + "learning_rate": 6.473316080758596e-07, + "loss": 0.8709, + "step": 10496 + }, + { + "epoch": 0.89, + "learning_rate": 6.463604042771409e-07, + "loss": 0.8472, + "step": 10497 + }, + { + "epoch": 0.89, + "learning_rate": 6.453899052506485e-07, + "loss": 0.8707, + "step": 10498 + }, + { + "epoch": 0.89, + "learning_rate": 6.444201110695059e-07, + "loss": 0.8978, + "step": 10499 + }, + { + "epoch": 0.89, + "learning_rate": 6.434510218067846e-07, + "loss": 0.551, + "step": 10500 + }, + { + "epoch": 0.89, + "learning_rate": 6.424826375355042e-07, + "loss": 0.8477, + "step": 10501 + }, + { + "epoch": 0.89, + "learning_rate": 6.415149583286296e-07, + "loss": 0.8222, + "step": 10502 + }, + { + "epoch": 0.89, + "learning_rate": 6.405479842590723e-07, + "loss": 0.8538, + "step": 10503 + }, + { + "epoch": 0.89, + "learning_rate": 6.395817153996909e-07, + "loss": 0.8312, + "step": 10504 + }, + { + "epoch": 0.89, + "learning_rate": 6.386161518232925e-07, + "loss": 0.8488, + "step": 10505 + }, + { + "epoch": 0.89, + "learning_rate": 6.37651293602628e-07, + "loss": 0.8453, + "step": 10506 + }, + { + "epoch": 0.89, + "learning_rate": 6.366871408103992e-07, + "loss": 0.8404, + "step": 10507 + }, + { + "epoch": 0.89, + "learning_rate": 6.357236935192512e-07, + "loss": 0.8307, + "step": 10508 + }, + { + "epoch": 0.89, + "learning_rate": 6.347609518017761e-07, + "loss": 0.8548, + "step": 10509 + }, + { + "epoch": 0.89, + "learning_rate": 6.337989157305168e-07, + "loss": 0.8307, + "step": 10510 + }, + { + "epoch": 0.89, + "learning_rate": 6.328375853779578e-07, + "loss": 0.852, + "step": 10511 + }, + { + "epoch": 0.89, + "learning_rate": 6.318769608165332e-07, + "loss": 0.8357, + "step": 10512 + }, + { + "epoch": 0.89, + "learning_rate": 6.30917042118625e-07, + "loss": 0.8762, + "step": 10513 + }, + { + "epoch": 0.89, + "learning_rate": 6.29957829356559e-07, + "loss": 0.8332, + "step": 10514 + }, + { + "epoch": 0.89, + "learning_rate": 6.289993226026114e-07, + "loss": 0.8627, + "step": 10515 + }, + { + "epoch": 0.89, + "learning_rate": 6.280415219289981e-07, + "loss": 0.8655, + "step": 10516 + }, + { + "epoch": 0.89, + "learning_rate": 6.270844274078947e-07, + "loss": 0.8294, + "step": 10517 + }, + { + "epoch": 0.89, + "learning_rate": 6.261280391114077e-07, + "loss": 0.8116, + "step": 10518 + }, + { + "epoch": 0.89, + "learning_rate": 6.251723571116031e-07, + "loss": 0.8107, + "step": 10519 + }, + { + "epoch": 0.89, + "learning_rate": 6.242173814804898e-07, + "loss": 0.8549, + "step": 10520 + }, + { + "epoch": 0.89, + "learning_rate": 6.232631122900201e-07, + "loss": 0.8581, + "step": 10521 + }, + { + "epoch": 0.89, + "learning_rate": 6.223095496120968e-07, + "loss": 0.8205, + "step": 10522 + }, + { + "epoch": 0.89, + "learning_rate": 6.213566935185678e-07, + "loss": 0.8958, + "step": 10523 + }, + { + "epoch": 0.89, + "learning_rate": 6.2040454408123e-07, + "loss": 0.8898, + "step": 10524 + }, + { + "epoch": 0.89, + "learning_rate": 6.194531013718219e-07, + "loss": 0.7969, + "step": 10525 + }, + { + "epoch": 0.89, + "learning_rate": 6.185023654620381e-07, + "loss": 0.8669, + "step": 10526 + }, + { + "epoch": 0.89, + "learning_rate": 6.175523364235059e-07, + "loss": 0.8146, + "step": 10527 + }, + { + "epoch": 0.89, + "learning_rate": 6.166030143278157e-07, + "loss": 0.8933, + "step": 10528 + }, + { + "epoch": 0.89, + "learning_rate": 6.156543992464892e-07, + "loss": 0.8561, + "step": 10529 + }, + { + "epoch": 0.89, + "learning_rate": 6.147064912510093e-07, + "loss": 0.8253, + "step": 10530 + }, + { + "epoch": 0.89, + "learning_rate": 6.137592904127909e-07, + "loss": 0.8369, + "step": 10531 + }, + { + "epoch": 0.89, + "learning_rate": 6.128127968032105e-07, + "loss": 0.8485, + "step": 10532 + }, + { + "epoch": 0.89, + "learning_rate": 6.118670104935765e-07, + "loss": 0.8199, + "step": 10533 + }, + { + "epoch": 0.89, + "learning_rate": 6.109219315551584e-07, + "loss": 0.8587, + "step": 10534 + }, + { + "epoch": 0.89, + "learning_rate": 6.099775600591606e-07, + "loss": 0.8232, + "step": 10535 + }, + { + "epoch": 0.89, + "learning_rate": 6.090338960767417e-07, + "loss": 0.4741, + "step": 10536 + }, + { + "epoch": 0.89, + "learning_rate": 6.080909396790025e-07, + "loss": 0.8357, + "step": 10537 + }, + { + "epoch": 0.89, + "learning_rate": 6.071486909369928e-07, + "loss": 0.8265, + "step": 10538 + }, + { + "epoch": 0.89, + "learning_rate": 6.062071499217081e-07, + "loss": 0.841, + "step": 10539 + }, + { + "epoch": 0.89, + "learning_rate": 6.052663167040929e-07, + "loss": 0.878, + "step": 10540 + }, + { + "epoch": 0.89, + "learning_rate": 6.043261913550347e-07, + "loss": 0.8254, + "step": 10541 + }, + { + "epoch": 0.89, + "learning_rate": 6.033867739453703e-07, + "loss": 0.8193, + "step": 10542 + }, + { + "epoch": 0.89, + "learning_rate": 6.02448064545883e-07, + "loss": 0.5426, + "step": 10543 + }, + { + "epoch": 0.89, + "learning_rate": 6.015100632272997e-07, + "loss": 0.8096, + "step": 10544 + }, + { + "epoch": 0.89, + "learning_rate": 6.005727700602992e-07, + "loss": 0.8567, + "step": 10545 + }, + { + "epoch": 0.89, + "learning_rate": 5.99636185115502e-07, + "loss": 0.8388, + "step": 10546 + }, + { + "epoch": 0.89, + "learning_rate": 5.98700308463479e-07, + "loss": 0.8383, + "step": 10547 + }, + { + "epoch": 0.89, + "learning_rate": 5.977651401747442e-07, + "loss": 0.8869, + "step": 10548 + }, + { + "epoch": 0.89, + "learning_rate": 5.96830680319761e-07, + "loss": 0.8774, + "step": 10549 + }, + { + "epoch": 0.89, + "learning_rate": 5.958969289689387e-07, + "loss": 0.8229, + "step": 10550 + }, + { + "epoch": 0.89, + "learning_rate": 5.949638861926333e-07, + "loss": 0.8491, + "step": 10551 + }, + { + "epoch": 0.89, + "learning_rate": 5.940315520611462e-07, + "loss": 0.7599, + "step": 10552 + }, + { + "epoch": 0.89, + "learning_rate": 5.93099926644728e-07, + "loss": 0.8176, + "step": 10553 + }, + { + "epoch": 0.89, + "learning_rate": 5.921690100135713e-07, + "loss": 0.8476, + "step": 10554 + }, + { + "epoch": 0.89, + "learning_rate": 5.912388022378212e-07, + "loss": 0.8603, + "step": 10555 + }, + { + "epoch": 0.89, + "learning_rate": 5.903093033875651e-07, + "loss": 0.8683, + "step": 10556 + }, + { + "epoch": 0.89, + "learning_rate": 5.89380513532839e-07, + "loss": 0.8796, + "step": 10557 + }, + { + "epoch": 0.89, + "learning_rate": 5.884524327436214e-07, + "loss": 0.8454, + "step": 10558 + }, + { + "epoch": 0.89, + "learning_rate": 5.875250610898475e-07, + "loss": 0.8666, + "step": 10559 + }, + { + "epoch": 0.89, + "learning_rate": 5.865983986413848e-07, + "loss": 0.8214, + "step": 10560 + }, + { + "epoch": 0.9, + "learning_rate": 5.856724454680607e-07, + "loss": 0.8471, + "step": 10561 + }, + { + "epoch": 0.9, + "learning_rate": 5.847472016396394e-07, + "loss": 0.8216, + "step": 10562 + }, + { + "epoch": 0.9, + "learning_rate": 5.838226672258374e-07, + "loss": 0.8326, + "step": 10563 + }, + { + "epoch": 0.9, + "learning_rate": 5.828988422963167e-07, + "loss": 0.8758, + "step": 10564 + }, + { + "epoch": 0.9, + "learning_rate": 5.819757269206839e-07, + "loss": 0.8578, + "step": 10565 + }, + { + "epoch": 0.9, + "learning_rate": 5.810533211684954e-07, + "loss": 0.826, + "step": 10566 + }, + { + "epoch": 0.9, + "learning_rate": 5.80131625109247e-07, + "loss": 0.8597, + "step": 10567 + }, + { + "epoch": 0.9, + "learning_rate": 5.792106388123931e-07, + "loss": 0.8021, + "step": 10568 + }, + { + "epoch": 0.9, + "learning_rate": 5.782903623473202e-07, + "loss": 0.8574, + "step": 10569 + }, + { + "epoch": 0.9, + "learning_rate": 5.773707957833752e-07, + "loss": 0.8758, + "step": 10570 + }, + { + "epoch": 0.9, + "learning_rate": 5.764519391898393e-07, + "loss": 0.8883, + "step": 10571 + }, + { + "epoch": 0.9, + "learning_rate": 5.755337926359528e-07, + "loss": 0.8528, + "step": 10572 + }, + { + "epoch": 0.9, + "learning_rate": 5.74616356190888e-07, + "loss": 0.8253, + "step": 10573 + }, + { + "epoch": 0.9, + "learning_rate": 5.736996299237773e-07, + "loss": 0.8798, + "step": 10574 + }, + { + "epoch": 0.9, + "learning_rate": 5.727836139036902e-07, + "loss": 0.8583, + "step": 10575 + }, + { + "epoch": 0.9, + "learning_rate": 5.718683081996491e-07, + "loss": 0.7969, + "step": 10576 + }, + { + "epoch": 0.9, + "learning_rate": 5.709537128806164e-07, + "loss": 0.8589, + "step": 10577 + }, + { + "epoch": 0.9, + "learning_rate": 5.700398280155062e-07, + "loss": 0.8023, + "step": 10578 + }, + { + "epoch": 0.9, + "learning_rate": 5.691266536731776e-07, + "loss": 0.895, + "step": 10579 + }, + { + "epoch": 0.9, + "learning_rate": 5.682141899224347e-07, + "loss": 0.7994, + "step": 10580 + }, + { + "epoch": 0.9, + "learning_rate": 5.673024368320313e-07, + "loss": 0.8463, + "step": 10581 + }, + { + "epoch": 0.9, + "learning_rate": 5.663913944706634e-07, + "loss": 0.8644, + "step": 10582 + }, + { + "epoch": 0.9, + "learning_rate": 5.654810629069762e-07, + "loss": 0.7734, + "step": 10583 + }, + { + "epoch": 0.9, + "learning_rate": 5.645714422095627e-07, + "loss": 0.8731, + "step": 10584 + }, + { + "epoch": 0.9, + "learning_rate": 5.63662532446958e-07, + "loss": 0.8555, + "step": 10585 + }, + { + "epoch": 0.9, + "learning_rate": 5.627543336876473e-07, + "loss": 0.8398, + "step": 10586 + }, + { + "epoch": 0.9, + "learning_rate": 5.618468460000603e-07, + "loss": 0.8763, + "step": 10587 + }, + { + "epoch": 0.9, + "learning_rate": 5.609400694525757e-07, + "loss": 0.8673, + "step": 10588 + }, + { + "epoch": 0.9, + "learning_rate": 5.600340041135133e-07, + "loss": 0.8522, + "step": 10589 + }, + { + "epoch": 0.9, + "learning_rate": 5.591286500511461e-07, + "loss": 0.8519, + "step": 10590 + }, + { + "epoch": 0.9, + "learning_rate": 5.582240073336887e-07, + "loss": 0.8476, + "step": 10591 + }, + { + "epoch": 0.9, + "learning_rate": 5.573200760293029e-07, + "loss": 0.8345, + "step": 10592 + }, + { + "epoch": 0.9, + "learning_rate": 5.564168562060989e-07, + "loss": 0.8319, + "step": 10593 + }, + { + "epoch": 0.9, + "learning_rate": 5.555143479321312e-07, + "loss": 0.823, + "step": 10594 + }, + { + "epoch": 0.9, + "learning_rate": 5.546125512754019e-07, + "loss": 0.8666, + "step": 10595 + }, + { + "epoch": 0.9, + "learning_rate": 5.537114663038579e-07, + "loss": 0.8121, + "step": 10596 + }, + { + "epoch": 0.9, + "learning_rate": 5.528110930853947e-07, + "loss": 0.9046, + "step": 10597 + }, + { + "epoch": 0.9, + "learning_rate": 5.519114316878538e-07, + "loss": 0.8345, + "step": 10598 + }, + { + "epoch": 0.9, + "learning_rate": 5.510124821790208e-07, + "loss": 0.8623, + "step": 10599 + }, + { + "epoch": 0.9, + "learning_rate": 5.501142446266283e-07, + "loss": 0.8911, + "step": 10600 + }, + { + "epoch": 0.9, + "learning_rate": 5.4921671909836e-07, + "loss": 0.8381, + "step": 10601 + }, + { + "epoch": 0.9, + "learning_rate": 5.48319905661836e-07, + "loss": 0.8674, + "step": 10602 + }, + { + "epoch": 0.9, + "learning_rate": 5.474238043846369e-07, + "loss": 0.8693, + "step": 10603 + }, + { + "epoch": 0.9, + "learning_rate": 5.465284153342731e-07, + "loss": 0.8397, + "step": 10604 + }, + { + "epoch": 0.9, + "learning_rate": 5.456337385782173e-07, + "loss": 0.8724, + "step": 10605 + }, + { + "epoch": 0.9, + "learning_rate": 5.447397741838734e-07, + "loss": 0.8413, + "step": 10606 + }, + { + "epoch": 0.9, + "learning_rate": 5.438465222186063e-07, + "loss": 0.8374, + "step": 10607 + }, + { + "epoch": 0.9, + "learning_rate": 5.429539827497188e-07, + "loss": 0.8683, + "step": 10608 + }, + { + "epoch": 0.9, + "learning_rate": 5.420621558444561e-07, + "loss": 0.8426, + "step": 10609 + }, + { + "epoch": 0.9, + "learning_rate": 5.411710415700222e-07, + "loss": 0.8188, + "step": 10610 + }, + { + "epoch": 0.9, + "learning_rate": 5.402806399935545e-07, + "loss": 0.8668, + "step": 10611 + }, + { + "epoch": 0.9, + "learning_rate": 5.393909511821471e-07, + "loss": 0.8439, + "step": 10612 + }, + { + "epoch": 0.9, + "learning_rate": 5.385019752028309e-07, + "loss": 0.8174, + "step": 10613 + }, + { + "epoch": 0.9, + "learning_rate": 5.376137121225933e-07, + "loss": 0.8979, + "step": 10614 + }, + { + "epoch": 0.9, + "learning_rate": 5.367261620083575e-07, + "loss": 0.875, + "step": 10615 + }, + { + "epoch": 0.9, + "learning_rate": 5.358393249270022e-07, + "loss": 0.8923, + "step": 10616 + }, + { + "epoch": 0.9, + "learning_rate": 5.34953200945344e-07, + "loss": 0.8248, + "step": 10617 + }, + { + "epoch": 0.9, + "learning_rate": 5.340677901301561e-07, + "loss": 0.8654, + "step": 10618 + }, + { + "epoch": 0.9, + "learning_rate": 5.331830925481452e-07, + "loss": 0.8633, + "step": 10619 + }, + { + "epoch": 0.9, + "learning_rate": 5.322991082659745e-07, + "loss": 0.8472, + "step": 10620 + }, + { + "epoch": 0.9, + "learning_rate": 5.314158373502498e-07, + "loss": 0.8114, + "step": 10621 + }, + { + "epoch": 0.9, + "learning_rate": 5.305332798675222e-07, + "loss": 0.8625, + "step": 10622 + }, + { + "epoch": 0.9, + "learning_rate": 5.296514358842919e-07, + "loss": 0.8545, + "step": 10623 + }, + { + "epoch": 0.9, + "learning_rate": 5.287703054670012e-07, + "loss": 0.8754, + "step": 10624 + }, + { + "epoch": 0.9, + "learning_rate": 5.278898886820427e-07, + "loss": 0.8274, + "step": 10625 + }, + { + "epoch": 0.9, + "learning_rate": 5.270101855957521e-07, + "loss": 0.8414, + "step": 10626 + }, + { + "epoch": 0.9, + "learning_rate": 5.261311962744142e-07, + "loss": 0.8823, + "step": 10627 + }, + { + "epoch": 0.9, + "learning_rate": 5.252529207842572e-07, + "loss": 0.8478, + "step": 10628 + }, + { + "epoch": 0.9, + "learning_rate": 5.24375359191458e-07, + "loss": 0.8362, + "step": 10629 + }, + { + "epoch": 0.9, + "learning_rate": 5.234985115621372e-07, + "loss": 0.843, + "step": 10630 + }, + { + "epoch": 0.9, + "learning_rate": 5.226223779623651e-07, + "loss": 0.86, + "step": 10631 + }, + { + "epoch": 0.9, + "learning_rate": 5.217469584581536e-07, + "loss": 0.8692, + "step": 10632 + }, + { + "epoch": 0.9, + "learning_rate": 5.208722531154653e-07, + "loss": 0.8762, + "step": 10633 + }, + { + "epoch": 0.9, + "learning_rate": 5.199982620002064e-07, + "loss": 0.8519, + "step": 10634 + }, + { + "epoch": 0.9, + "learning_rate": 5.191249851782287e-07, + "loss": 0.7945, + "step": 10635 + }, + { + "epoch": 0.9, + "learning_rate": 5.18252422715333e-07, + "loss": 0.8582, + "step": 10636 + }, + { + "epoch": 0.9, + "learning_rate": 5.173805746772631e-07, + "loss": 0.887, + "step": 10637 + }, + { + "epoch": 0.9, + "learning_rate": 5.165094411297111e-07, + "loss": 0.8257, + "step": 10638 + }, + { + "epoch": 0.9, + "learning_rate": 5.156390221383145e-07, + "loss": 0.8138, + "step": 10639 + }, + { + "epoch": 0.9, + "learning_rate": 5.147693177686586e-07, + "loss": 0.8782, + "step": 10640 + }, + { + "epoch": 0.9, + "learning_rate": 5.13900328086272e-07, + "loss": 0.7918, + "step": 10641 + }, + { + "epoch": 0.9, + "learning_rate": 5.13032053156628e-07, + "loss": 0.8266, + "step": 10642 + }, + { + "epoch": 0.9, + "learning_rate": 5.121644930451552e-07, + "loss": 0.5887, + "step": 10643 + }, + { + "epoch": 0.9, + "learning_rate": 5.11297647817216e-07, + "loss": 0.8727, + "step": 10644 + }, + { + "epoch": 0.9, + "learning_rate": 5.104315175381291e-07, + "loss": 0.8761, + "step": 10645 + }, + { + "epoch": 0.9, + "learning_rate": 5.095661022731513e-07, + "loss": 0.826, + "step": 10646 + }, + { + "epoch": 0.9, + "learning_rate": 5.087014020874936e-07, + "loss": 0.8712, + "step": 10647 + }, + { + "epoch": 0.9, + "learning_rate": 5.07837417046304e-07, + "loss": 0.8411, + "step": 10648 + }, + { + "epoch": 0.9, + "learning_rate": 5.069741472146872e-07, + "loss": 0.8374, + "step": 10649 + }, + { + "epoch": 0.9, + "learning_rate": 5.061115926576843e-07, + "loss": 0.8542, + "step": 10650 + }, + { + "epoch": 0.9, + "learning_rate": 5.052497534402867e-07, + "loss": 0.8587, + "step": 10651 + }, + { + "epoch": 0.9, + "learning_rate": 5.043886296274347e-07, + "loss": 0.8435, + "step": 10652 + }, + { + "epoch": 0.9, + "learning_rate": 5.035282212840065e-07, + "loss": 0.86, + "step": 10653 + }, + { + "epoch": 0.9, + "learning_rate": 5.026685284748378e-07, + "loss": 0.9038, + "step": 10654 + }, + { + "epoch": 0.9, + "learning_rate": 5.018095512646981e-07, + "loss": 0.808, + "step": 10655 + }, + { + "epoch": 0.9, + "learning_rate": 5.009512897183156e-07, + "loss": 0.8262, + "step": 10656 + }, + { + "epoch": 0.9, + "learning_rate": 5.000937439003517e-07, + "loss": 0.8041, + "step": 10657 + }, + { + "epoch": 0.9, + "learning_rate": 4.99236913875426e-07, + "loss": 0.8518, + "step": 10658 + }, + { + "epoch": 0.9, + "learning_rate": 4.983807997080925e-07, + "loss": 0.8827, + "step": 10659 + }, + { + "epoch": 0.9, + "learning_rate": 4.975254014628628e-07, + "loss": 0.8313, + "step": 10660 + }, + { + "epoch": 0.9, + "learning_rate": 4.966707192041853e-07, + "loss": 0.8624, + "step": 10661 + }, + { + "epoch": 0.9, + "learning_rate": 4.958167529964586e-07, + "loss": 0.8751, + "step": 10662 + }, + { + "epoch": 0.9, + "learning_rate": 4.949635029040279e-07, + "loss": 0.8269, + "step": 10663 + }, + { + "epoch": 0.9, + "learning_rate": 4.941109689911816e-07, + "loss": 0.8515, + "step": 10664 + }, + { + "epoch": 0.9, + "learning_rate": 4.932591513221586e-07, + "loss": 0.8554, + "step": 10665 + }, + { + "epoch": 0.9, + "learning_rate": 4.924080499611384e-07, + "loss": 0.8915, + "step": 10666 + }, + { + "epoch": 0.9, + "learning_rate": 4.915576649722509e-07, + "loss": 0.8272, + "step": 10667 + }, + { + "epoch": 0.9, + "learning_rate": 4.907079964195693e-07, + "loss": 0.5073, + "step": 10668 + }, + { + "epoch": 0.9, + "learning_rate": 4.898590443671147e-07, + "loss": 0.862, + "step": 10669 + }, + { + "epoch": 0.9, + "learning_rate": 4.890108088788537e-07, + "loss": 0.8763, + "step": 10670 + }, + { + "epoch": 0.9, + "learning_rate": 4.881632900186983e-07, + "loss": 0.8504, + "step": 10671 + }, + { + "epoch": 0.9, + "learning_rate": 4.873164878505066e-07, + "loss": 0.929, + "step": 10672 + }, + { + "epoch": 0.9, + "learning_rate": 4.864704024380818e-07, + "loss": 0.8163, + "step": 10673 + }, + { + "epoch": 0.9, + "learning_rate": 4.856250338451763e-07, + "loss": 0.8738, + "step": 10674 + }, + { + "epoch": 0.9, + "learning_rate": 4.847803821354858e-07, + "loss": 0.8611, + "step": 10675 + }, + { + "epoch": 0.9, + "learning_rate": 4.839364473726515e-07, + "loss": 0.8289, + "step": 10676 + }, + { + "epoch": 0.9, + "learning_rate": 4.83093229620264e-07, + "loss": 0.822, + "step": 10677 + }, + { + "epoch": 0.9, + "learning_rate": 4.822507289418543e-07, + "loss": 0.5766, + "step": 10678 + }, + { + "epoch": 0.91, + "learning_rate": 4.814089454009053e-07, + "loss": 0.8993, + "step": 10679 + }, + { + "epoch": 0.91, + "learning_rate": 4.805678790608415e-07, + "loss": 0.8772, + "step": 10680 + }, + { + "epoch": 0.91, + "learning_rate": 4.797275299850368e-07, + "loss": 0.8718, + "step": 10681 + }, + { + "epoch": 0.91, + "learning_rate": 4.788878982368072e-07, + "loss": 0.876, + "step": 10682 + }, + { + "epoch": 0.91, + "learning_rate": 4.7804898387942e-07, + "loss": 0.8587, + "step": 10683 + }, + { + "epoch": 0.91, + "learning_rate": 4.7721078697608e-07, + "loss": 0.8858, + "step": 10684 + }, + { + "epoch": 0.91, + "learning_rate": 4.763733075899479e-07, + "loss": 0.8457, + "step": 10685 + }, + { + "epoch": 0.91, + "learning_rate": 4.755365457841221e-07, + "loss": 0.8222, + "step": 10686 + }, + { + "epoch": 0.91, + "learning_rate": 4.747005016216555e-07, + "loss": 0.7986, + "step": 10687 + }, + { + "epoch": 0.91, + "learning_rate": 4.7386517516553434e-07, + "loss": 0.8468, + "step": 10688 + }, + { + "epoch": 0.91, + "learning_rate": 4.7303056647870605e-07, + "loss": 0.8834, + "step": 10689 + }, + { + "epoch": 0.91, + "learning_rate": 4.7219667562404926e-07, + "loss": 0.8195, + "step": 10690 + }, + { + "epoch": 0.91, + "learning_rate": 4.713635026644014e-07, + "loss": 0.8622, + "step": 10691 + }, + { + "epoch": 0.91, + "learning_rate": 4.705310476625369e-07, + "loss": 0.8391, + "step": 10692 + }, + { + "epoch": 0.91, + "learning_rate": 4.6969931068117867e-07, + "loss": 0.5023, + "step": 10693 + }, + { + "epoch": 0.91, + "learning_rate": 4.6886829178299676e-07, + "loss": 0.774, + "step": 10694 + }, + { + "epoch": 0.91, + "learning_rate": 4.6803799103060544e-07, + "loss": 0.8097, + "step": 10695 + }, + { + "epoch": 0.91, + "learning_rate": 4.67208408486568e-07, + "loss": 0.8509, + "step": 10696 + }, + { + "epoch": 0.91, + "learning_rate": 4.6637954421338783e-07, + "loss": 0.8489, + "step": 10697 + }, + { + "epoch": 0.91, + "learning_rate": 4.655513982735216e-07, + "loss": 0.8867, + "step": 10698 + }, + { + "epoch": 0.91, + "learning_rate": 4.647239707293638e-07, + "loss": 0.8924, + "step": 10699 + }, + { + "epoch": 0.91, + "learning_rate": 4.6389726164326354e-07, + "loss": 0.8364, + "step": 10700 + }, + { + "epoch": 0.91, + "learning_rate": 4.630712710775054e-07, + "loss": 0.8943, + "step": 10701 + }, + { + "epoch": 0.91, + "learning_rate": 4.622459990943318e-07, + "loss": 0.8286, + "step": 10702 + }, + { + "epoch": 0.91, + "learning_rate": 4.6142144575592075e-07, + "loss": 0.848, + "step": 10703 + }, + { + "epoch": 0.91, + "learning_rate": 4.605976111244015e-07, + "loss": 0.8947, + "step": 10704 + }, + { + "epoch": 0.91, + "learning_rate": 4.597744952618477e-07, + "loss": 0.8657, + "step": 10705 + }, + { + "epoch": 0.91, + "learning_rate": 4.589520982302786e-07, + "loss": 0.8329, + "step": 10706 + }, + { + "epoch": 0.91, + "learning_rate": 4.581304200916603e-07, + "loss": 0.8428, + "step": 10707 + }, + { + "epoch": 0.91, + "learning_rate": 4.573094609079032e-07, + "loss": 0.4529, + "step": 10708 + }, + { + "epoch": 0.91, + "learning_rate": 4.5648922074086553e-07, + "loss": 0.8572, + "step": 10709 + }, + { + "epoch": 0.91, + "learning_rate": 4.556696996523502e-07, + "loss": 0.8689, + "step": 10710 + }, + { + "epoch": 0.91, + "learning_rate": 4.556696996523502e-07, + "loss": 0.837, + "step": 10711 + }, + { + "epoch": 0.91, + "learning_rate": 4.548508977041044e-07, + "loss": 0.8462, + "step": 10712 + }, + { + "epoch": 0.91, + "learning_rate": 4.5403281495782437e-07, + "loss": 0.8554, + "step": 10713 + }, + { + "epoch": 0.91, + "learning_rate": 4.532154514751497e-07, + "loss": 0.8557, + "step": 10714 + }, + { + "epoch": 0.91, + "learning_rate": 4.523988073176666e-07, + "loss": 0.823, + "step": 10715 + }, + { + "epoch": 0.91, + "learning_rate": 4.515828825469082e-07, + "loss": 0.8835, + "step": 10716 + }, + { + "epoch": 0.91, + "learning_rate": 4.5076767722435075e-07, + "loss": 0.8258, + "step": 10717 + }, + { + "epoch": 0.91, + "learning_rate": 4.499531914114186e-07, + "loss": 0.8275, + "step": 10718 + }, + { + "epoch": 0.91, + "learning_rate": 4.4913942516948027e-07, + "loss": 0.8316, + "step": 10719 + }, + { + "epoch": 0.91, + "learning_rate": 4.483263785598524e-07, + "loss": 0.8455, + "step": 10720 + }, + { + "epoch": 0.91, + "learning_rate": 4.475140516437959e-07, + "loss": 0.8313, + "step": 10721 + }, + { + "epoch": 0.91, + "learning_rate": 4.467024444825152e-07, + "loss": 0.8461, + "step": 10722 + }, + { + "epoch": 0.91, + "learning_rate": 4.458915571371647e-07, + "loss": 0.8447, + "step": 10723 + }, + { + "epoch": 0.91, + "learning_rate": 4.450813896688433e-07, + "loss": 0.8563, + "step": 10724 + }, + { + "epoch": 0.91, + "learning_rate": 4.4427194213859216e-07, + "loss": 0.8684, + "step": 10725 + }, + { + "epoch": 0.91, + "learning_rate": 4.4346321460740583e-07, + "loss": 0.8813, + "step": 10726 + }, + { + "epoch": 0.91, + "learning_rate": 4.426552071362133e-07, + "loss": 0.8326, + "step": 10727 + }, + { + "epoch": 0.91, + "learning_rate": 4.418479197859016e-07, + "loss": 0.822, + "step": 10728 + }, + { + "epoch": 0.91, + "learning_rate": 4.4104135261729296e-07, + "loss": 0.8389, + "step": 10729 + }, + { + "epoch": 0.91, + "learning_rate": 4.402355056911656e-07, + "loss": 0.4716, + "step": 10730 + }, + { + "epoch": 0.91, + "learning_rate": 4.3943037906823195e-07, + "loss": 0.8305, + "step": 10731 + }, + { + "epoch": 0.91, + "learning_rate": 4.386259728091613e-07, + "loss": 0.8564, + "step": 10732 + }, + { + "epoch": 0.91, + "learning_rate": 4.3782228697455965e-07, + "loss": 0.8246, + "step": 10733 + }, + { + "epoch": 0.91, + "learning_rate": 4.370193216249874e-07, + "loss": 0.8521, + "step": 10734 + }, + { + "epoch": 0.91, + "learning_rate": 4.3621707682094063e-07, + "loss": 0.8519, + "step": 10735 + }, + { + "epoch": 0.91, + "learning_rate": 4.354155526228687e-07, + "loss": 0.8036, + "step": 10736 + }, + { + "epoch": 0.91, + "learning_rate": 4.3461474909116454e-07, + "loss": 0.5451, + "step": 10737 + }, + { + "epoch": 0.91, + "learning_rate": 4.338146662861664e-07, + "loss": 0.862, + "step": 10738 + }, + { + "epoch": 0.91, + "learning_rate": 4.330153042681573e-07, + "loss": 0.8242, + "step": 10739 + }, + { + "epoch": 0.91, + "learning_rate": 4.3221666309736787e-07, + "loss": 0.8749, + "step": 10740 + }, + { + "epoch": 0.91, + "learning_rate": 4.3141874283397665e-07, + "loss": 0.8634, + "step": 10741 + }, + { + "epoch": 0.91, + "learning_rate": 4.306215435380989e-07, + "loss": 0.8927, + "step": 10742 + }, + { + "epoch": 0.91, + "learning_rate": 4.298250652698077e-07, + "loss": 0.867, + "step": 10743 + }, + { + "epoch": 0.91, + "learning_rate": 4.2902930808910946e-07, + "loss": 0.8249, + "step": 10744 + }, + { + "epoch": 0.91, + "learning_rate": 4.2823427205596845e-07, + "loss": 0.8607, + "step": 10745 + }, + { + "epoch": 0.91, + "learning_rate": 4.274399572302845e-07, + "loss": 0.7797, + "step": 10746 + }, + { + "epoch": 0.91, + "learning_rate": 4.266463636719087e-07, + "loss": 0.8852, + "step": 10747 + }, + { + "epoch": 0.91, + "learning_rate": 4.2585349144063424e-07, + "loss": 0.8671, + "step": 10748 + }, + { + "epoch": 0.91, + "learning_rate": 4.2506134059620453e-07, + "loss": 0.8618, + "step": 10749 + }, + { + "epoch": 0.91, + "learning_rate": 4.242699111983051e-07, + "loss": 0.8302, + "step": 10750 + }, + { + "epoch": 0.91, + "learning_rate": 4.234792033065682e-07, + "loss": 0.857, + "step": 10751 + }, + { + "epoch": 0.91, + "learning_rate": 4.2268921698057076e-07, + "loss": 0.8506, + "step": 10752 + }, + { + "epoch": 0.91, + "learning_rate": 4.2189995227983726e-07, + "loss": 0.8225, + "step": 10753 + }, + { + "epoch": 0.91, + "learning_rate": 4.2111140926383686e-07, + "loss": 0.8167, + "step": 10754 + }, + { + "epoch": 0.91, + "learning_rate": 4.2032358799198314e-07, + "loss": 0.8396, + "step": 10755 + }, + { + "epoch": 0.91, + "learning_rate": 4.195364885236375e-07, + "loss": 0.816, + "step": 10756 + }, + { + "epoch": 0.91, + "learning_rate": 4.1875011091810467e-07, + "loss": 0.8197, + "step": 10757 + }, + { + "epoch": 0.91, + "learning_rate": 4.1796445523463626e-07, + "loss": 0.4776, + "step": 10758 + }, + { + "epoch": 0.91, + "learning_rate": 4.1717952153243034e-07, + "loss": 0.9156, + "step": 10759 + }, + { + "epoch": 0.91, + "learning_rate": 4.163953098706286e-07, + "loss": 0.8332, + "step": 10760 + }, + { + "epoch": 0.91, + "learning_rate": 4.1561182030832035e-07, + "loss": 0.7981, + "step": 10761 + }, + { + "epoch": 0.91, + "learning_rate": 4.1482905290453846e-07, + "loss": 0.8687, + "step": 10762 + }, + { + "epoch": 0.91, + "learning_rate": 4.140470077182634e-07, + "loss": 0.8574, + "step": 10763 + }, + { + "epoch": 0.91, + "learning_rate": 4.132656848084193e-07, + "loss": 0.8989, + "step": 10764 + }, + { + "epoch": 0.91, + "learning_rate": 4.124850842338779e-07, + "loss": 0.8499, + "step": 10765 + }, + { + "epoch": 0.91, + "learning_rate": 4.1170520605345545e-07, + "loss": 0.8469, + "step": 10766 + }, + { + "epoch": 0.91, + "learning_rate": 4.109260503259105e-07, + "loss": 0.8641, + "step": 10767 + }, + { + "epoch": 0.91, + "learning_rate": 4.10147617109955e-07, + "loss": 0.8233, + "step": 10768 + }, + { + "epoch": 0.91, + "learning_rate": 4.093699064642376e-07, + "loss": 0.8249, + "step": 10769 + }, + { + "epoch": 0.91, + "learning_rate": 4.085929184473614e-07, + "loss": 0.8309, + "step": 10770 + }, + { + "epoch": 0.91, + "learning_rate": 4.078166531178651e-07, + "loss": 0.8203, + "step": 10771 + }, + { + "epoch": 0.91, + "learning_rate": 4.0704111053424314e-07, + "loss": 0.819, + "step": 10772 + }, + { + "epoch": 0.91, + "learning_rate": 4.062662907549264e-07, + "loss": 0.8735, + "step": 10773 + }, + { + "epoch": 0.91, + "learning_rate": 4.0549219383830054e-07, + "loss": 0.9061, + "step": 10774 + }, + { + "epoch": 0.91, + "learning_rate": 4.0471881984268655e-07, + "loss": 0.8717, + "step": 10775 + }, + { + "epoch": 0.91, + "learning_rate": 4.039461688263602e-07, + "loss": 0.823, + "step": 10776 + }, + { + "epoch": 0.91, + "learning_rate": 4.031742408475359e-07, + "loss": 0.9192, + "step": 10777 + }, + { + "epoch": 0.91, + "learning_rate": 4.0240303596437713e-07, + "loss": 0.5133, + "step": 10778 + }, + { + "epoch": 0.91, + "learning_rate": 4.01632554234993e-07, + "loss": 0.8509, + "step": 10779 + }, + { + "epoch": 0.91, + "learning_rate": 4.0086279571743715e-07, + "loss": 0.4893, + "step": 10780 + }, + { + "epoch": 0.91, + "learning_rate": 4.0009376046970747e-07, + "loss": 0.8255, + "step": 10781 + }, + { + "epoch": 0.91, + "learning_rate": 3.9932544854975e-07, + "loss": 0.856, + "step": 10782 + }, + { + "epoch": 0.91, + "learning_rate": 3.985578600154549e-07, + "loss": 0.8802, + "step": 10783 + }, + { + "epoch": 0.91, + "learning_rate": 3.9779099492465724e-07, + "loss": 0.8144, + "step": 10784 + }, + { + "epoch": 0.91, + "learning_rate": 3.970248533351406e-07, + "loss": 0.82, + "step": 10785 + }, + { + "epoch": 0.91, + "learning_rate": 3.9625943530462787e-07, + "loss": 0.8773, + "step": 10786 + }, + { + "epoch": 0.91, + "learning_rate": 3.954947408907961e-07, + "loss": 0.8308, + "step": 10787 + }, + { + "epoch": 0.91, + "learning_rate": 3.9473077015125814e-07, + "loss": 0.8497, + "step": 10788 + }, + { + "epoch": 0.91, + "learning_rate": 3.939675231435802e-07, + "loss": 0.8463, + "step": 10789 + }, + { + "epoch": 0.91, + "learning_rate": 3.932049999252707e-07, + "loss": 0.8452, + "step": 10790 + }, + { + "epoch": 0.91, + "learning_rate": 3.924432005537826e-07, + "loss": 0.8941, + "step": 10791 + }, + { + "epoch": 0.91, + "learning_rate": 3.9168212508651547e-07, + "loss": 0.8196, + "step": 10792 + }, + { + "epoch": 0.91, + "learning_rate": 3.909217735808157e-07, + "loss": 0.8084, + "step": 10793 + }, + { + "epoch": 0.91, + "learning_rate": 3.9016214609397306e-07, + "loss": 0.8966, + "step": 10794 + }, + { + "epoch": 0.91, + "learning_rate": 3.8940324268322285e-07, + "loss": 0.8587, + "step": 10795 + }, + { + "epoch": 0.91, + "learning_rate": 3.8864506340574817e-07, + "loss": 0.8355, + "step": 10796 + }, + { + "epoch": 0.92, + "learning_rate": 3.8788760831867446e-07, + "loss": 0.8413, + "step": 10797 + }, + { + "epoch": 0.92, + "learning_rate": 3.8713087747907385e-07, + "loss": 0.8373, + "step": 10798 + }, + { + "epoch": 0.92, + "learning_rate": 3.863748709439641e-07, + "loss": 0.8393, + "step": 10799 + }, + { + "epoch": 0.92, + "learning_rate": 3.8561958877030957e-07, + "loss": 0.5651, + "step": 10800 + }, + { + "epoch": 0.92, + "learning_rate": 3.8486503101501705e-07, + "loss": 0.7935, + "step": 10801 + }, + { + "epoch": 0.92, + "learning_rate": 3.841111977349421e-07, + "loss": 0.8537, + "step": 10802 + }, + { + "epoch": 0.92, + "learning_rate": 3.8335808898688376e-07, + "loss": 0.8404, + "step": 10803 + }, + { + "epoch": 0.92, + "learning_rate": 3.8260570482758554e-07, + "loss": 0.8715, + "step": 10804 + }, + { + "epoch": 0.92, + "learning_rate": 3.818540453137376e-07, + "loss": 0.8677, + "step": 10805 + }, + { + "epoch": 0.92, + "learning_rate": 3.8110311050197803e-07, + "loss": 0.8352, + "step": 10806 + }, + { + "epoch": 0.92, + "learning_rate": 3.803529004488848e-07, + "loss": 0.8109, + "step": 10807 + }, + { + "epoch": 0.92, + "learning_rate": 3.796034152109873e-07, + "loss": 0.8275, + "step": 10808 + }, + { + "epoch": 0.92, + "learning_rate": 3.788546548447536e-07, + "loss": 0.8643, + "step": 10809 + }, + { + "epoch": 0.92, + "learning_rate": 3.781066194066052e-07, + "loss": 0.8346, + "step": 10810 + }, + { + "epoch": 0.92, + "learning_rate": 3.7735930895289927e-07, + "loss": 0.851, + "step": 10811 + }, + { + "epoch": 0.92, + "learning_rate": 3.766127235399486e-07, + "loss": 0.828, + "step": 10812 + }, + { + "epoch": 0.92, + "learning_rate": 3.7586686322400257e-07, + "loss": 0.4633, + "step": 10813 + }, + { + "epoch": 0.92, + "learning_rate": 3.751217280612651e-07, + "loss": 0.8455, + "step": 10814 + }, + { + "epoch": 0.92, + "learning_rate": 3.7437731810787246e-07, + "loss": 0.8732, + "step": 10815 + }, + { + "epoch": 0.92, + "learning_rate": 3.7363363341992197e-07, + "loss": 0.8524, + "step": 10816 + }, + { + "epoch": 0.92, + "learning_rate": 3.728906740534421e-07, + "loss": 0.856, + "step": 10817 + }, + { + "epoch": 0.92, + "learning_rate": 3.721484400644182e-07, + "loss": 0.8113, + "step": 10818 + }, + { + "epoch": 0.92, + "learning_rate": 3.714069315087709e-07, + "loss": 0.8426, + "step": 10819 + }, + { + "epoch": 0.92, + "learning_rate": 3.7066614844237346e-07, + "loss": 0.9048, + "step": 10820 + }, + { + "epoch": 0.92, + "learning_rate": 3.6992609092104116e-07, + "loss": 0.8509, + "step": 10821 + }, + { + "epoch": 0.92, + "learning_rate": 3.6918675900053605e-07, + "loss": 0.9295, + "step": 10822 + }, + { + "epoch": 0.92, + "learning_rate": 3.6844815273656356e-07, + "loss": 0.5608, + "step": 10823 + }, + { + "epoch": 0.92, + "learning_rate": 3.6771027218477694e-07, + "loss": 0.871, + "step": 10824 + }, + { + "epoch": 0.92, + "learning_rate": 3.66973117400774e-07, + "loss": 0.8898, + "step": 10825 + }, + { + "epoch": 0.92, + "learning_rate": 3.6623668844009585e-07, + "loss": 0.8833, + "step": 10826 + }, + { + "epoch": 0.92, + "learning_rate": 3.655009853582314e-07, + "loss": 0.8428, + "step": 10827 + }, + { + "epoch": 0.92, + "learning_rate": 3.64766008210613e-07, + "loss": 0.8376, + "step": 10828 + }, + { + "epoch": 0.92, + "learning_rate": 3.6403175705262307e-07, + "loss": 0.8472, + "step": 10829 + }, + { + "epoch": 0.92, + "learning_rate": 3.632982319395806e-07, + "loss": 0.8481, + "step": 10830 + }, + { + "epoch": 0.92, + "learning_rate": 3.6256543292675584e-07, + "loss": 0.8436, + "step": 10831 + }, + { + "epoch": 0.92, + "learning_rate": 3.6183336006936577e-07, + "loss": 0.8759, + "step": 10832 + }, + { + "epoch": 0.92, + "learning_rate": 3.6110201342256734e-07, + "loss": 0.836, + "step": 10833 + }, + { + "epoch": 0.92, + "learning_rate": 3.603713930414676e-07, + "loss": 0.7937, + "step": 10834 + }, + { + "epoch": 0.92, + "learning_rate": 3.5964149898111587e-07, + "loss": 0.5294, + "step": 10835 + }, + { + "epoch": 0.92, + "learning_rate": 3.58912331296507e-07, + "loss": 0.8458, + "step": 10836 + }, + { + "epoch": 0.92, + "learning_rate": 3.581838900425838e-07, + "loss": 0.7739, + "step": 10837 + }, + { + "epoch": 0.92, + "learning_rate": 3.574561752742323e-07, + "loss": 0.8277, + "step": 10838 + }, + { + "epoch": 0.92, + "learning_rate": 3.567291870462819e-07, + "loss": 0.8417, + "step": 10839 + }, + { + "epoch": 0.92, + "learning_rate": 3.5600292541351e-07, + "loss": 0.8739, + "step": 10840 + }, + { + "epoch": 0.92, + "learning_rate": 3.552773904306406e-07, + "loss": 0.8421, + "step": 10841 + }, + { + "epoch": 0.92, + "learning_rate": 3.5455258215233655e-07, + "loss": 0.8449, + "step": 10842 + }, + { + "epoch": 0.92, + "learning_rate": 3.538285006332154e-07, + "loss": 0.8544, + "step": 10843 + }, + { + "epoch": 0.92, + "learning_rate": 3.531051459278312e-07, + "loss": 0.8652, + "step": 10844 + }, + { + "epoch": 0.92, + "learning_rate": 3.52382518090687e-07, + "loss": 0.8125, + "step": 10845 + }, + { + "epoch": 0.92, + "learning_rate": 3.516606171762338e-07, + "loss": 0.7982, + "step": 10846 + }, + { + "epoch": 0.92, + "learning_rate": 3.509394432388613e-07, + "loss": 0.8897, + "step": 10847 + }, + { + "epoch": 0.92, + "learning_rate": 3.5021899633291056e-07, + "loss": 0.8511, + "step": 10848 + }, + { + "epoch": 0.92, + "learning_rate": 3.494992765126637e-07, + "loss": 0.8353, + "step": 10849 + }, + { + "epoch": 0.92, + "learning_rate": 3.4878028383235286e-07, + "loss": 0.8567, + "step": 10850 + }, + { + "epoch": 0.92, + "learning_rate": 3.4806201834614697e-07, + "loss": 0.8134, + "step": 10851 + }, + { + "epoch": 0.92, + "learning_rate": 3.4734448010817043e-07, + "loss": 0.8393, + "step": 10852 + }, + { + "epoch": 0.92, + "learning_rate": 3.466276691724846e-07, + "loss": 0.9071, + "step": 10853 + }, + { + "epoch": 0.92, + "learning_rate": 3.4591158559310167e-07, + "loss": 0.8774, + "step": 10854 + }, + { + "epoch": 0.92, + "learning_rate": 3.451962294239741e-07, + "loss": 0.8407, + "step": 10855 + }, + { + "epoch": 0.92, + "learning_rate": 3.444816007190055e-07, + "loss": 0.8378, + "step": 10856 + }, + { + "epoch": 0.92, + "learning_rate": 3.4376769953203715e-07, + "loss": 0.851, + "step": 10857 + }, + { + "epoch": 0.92, + "learning_rate": 3.430545259168638e-07, + "loss": 0.546, + "step": 10858 + }, + { + "epoch": 0.92, + "learning_rate": 3.423420799272181e-07, + "loss": 0.8704, + "step": 10859 + }, + { + "epoch": 0.92, + "learning_rate": 3.4163036161678267e-07, + "loss": 0.8522, + "step": 10860 + }, + { + "epoch": 0.92, + "learning_rate": 3.409193710391834e-07, + "loss": 0.8127, + "step": 10861 + }, + { + "epoch": 0.92, + "learning_rate": 3.402091082479908e-07, + "loss": 0.8397, + "step": 10862 + }, + { + "epoch": 0.92, + "learning_rate": 3.39499573296721e-07, + "loss": 0.8276, + "step": 10863 + }, + { + "epoch": 0.92, + "learning_rate": 3.3879076623883677e-07, + "loss": 0.8272, + "step": 10864 + }, + { + "epoch": 0.92, + "learning_rate": 3.380826871277443e-07, + "loss": 0.8469, + "step": 10865 + }, + { + "epoch": 0.92, + "learning_rate": 3.373753360167964e-07, + "loss": 0.8593, + "step": 10866 + }, + { + "epoch": 0.92, + "learning_rate": 3.3666871295928826e-07, + "loss": 0.8881, + "step": 10867 + }, + { + "epoch": 0.92, + "learning_rate": 3.35962818008464e-07, + "loss": 0.8613, + "step": 10868 + }, + { + "epoch": 0.92, + "learning_rate": 3.3525765121750986e-07, + "loss": 0.899, + "step": 10869 + }, + { + "epoch": 0.92, + "learning_rate": 3.345532126395579e-07, + "loss": 0.8374, + "step": 10870 + }, + { + "epoch": 0.92, + "learning_rate": 3.3384950232768775e-07, + "loss": 0.8591, + "step": 10871 + }, + { + "epoch": 0.92, + "learning_rate": 3.3314652033491933e-07, + "loss": 0.8305, + "step": 10872 + }, + { + "epoch": 0.92, + "learning_rate": 3.3244426671422246e-07, + "loss": 0.8137, + "step": 10873 + }, + { + "epoch": 0.92, + "learning_rate": 3.317427415185104e-07, + "loss": 0.8081, + "step": 10874 + }, + { + "epoch": 0.92, + "learning_rate": 3.3104194480063967e-07, + "loss": 0.8562, + "step": 10875 + }, + { + "epoch": 0.92, + "learning_rate": 3.3034187661341476e-07, + "loss": 0.8536, + "step": 10876 + }, + { + "epoch": 0.92, + "learning_rate": 3.296425370095824e-07, + "loss": 0.7915, + "step": 10877 + }, + { + "epoch": 0.92, + "learning_rate": 3.289439260418381e-07, + "loss": 0.8398, + "step": 10878 + }, + { + "epoch": 0.92, + "learning_rate": 3.2824604376281874e-07, + "loss": 0.8764, + "step": 10879 + }, + { + "epoch": 0.92, + "learning_rate": 3.2754889022510784e-07, + "loss": 0.8792, + "step": 10880 + }, + { + "epoch": 0.92, + "learning_rate": 3.268524654812355e-07, + "loss": 0.8553, + "step": 10881 + }, + { + "epoch": 0.92, + "learning_rate": 3.2615676958367424e-07, + "loss": 0.8091, + "step": 10882 + }, + { + "epoch": 0.92, + "learning_rate": 3.254618025848455e-07, + "loss": 0.8082, + "step": 10883 + }, + { + "epoch": 0.92, + "learning_rate": 3.2476756453710843e-07, + "loss": 0.8306, + "step": 10884 + }, + { + "epoch": 0.92, + "learning_rate": 3.2407405549277683e-07, + "loss": 0.8142, + "step": 10885 + }, + { + "epoch": 0.92, + "learning_rate": 3.233812755040999e-07, + "loss": 0.863, + "step": 10886 + }, + { + "epoch": 0.92, + "learning_rate": 3.2268922462328155e-07, + "loss": 0.8137, + "step": 10887 + }, + { + "epoch": 0.92, + "learning_rate": 3.219979029024634e-07, + "loss": 0.8258, + "step": 10888 + }, + { + "epoch": 0.92, + "learning_rate": 3.2130731039373585e-07, + "loss": 0.8525, + "step": 10889 + }, + { + "epoch": 0.92, + "learning_rate": 3.20617447149133e-07, + "loss": 0.7906, + "step": 10890 + }, + { + "epoch": 0.92, + "learning_rate": 3.1992831322063324e-07, + "loss": 0.8646, + "step": 10891 + }, + { + "epoch": 0.92, + "learning_rate": 3.1923990866016385e-07, + "loss": 0.8881, + "step": 10892 + }, + { + "epoch": 0.92, + "learning_rate": 3.1855223351958897e-07, + "loss": 0.8171, + "step": 10893 + }, + { + "epoch": 0.92, + "learning_rate": 3.178652878507293e-07, + "loss": 0.8053, + "step": 10894 + }, + { + "epoch": 0.92, + "learning_rate": 3.171790717053391e-07, + "loss": 0.8315, + "step": 10895 + }, + { + "epoch": 0.92, + "learning_rate": 3.1649358513512693e-07, + "loss": 0.8722, + "step": 10896 + }, + { + "epoch": 0.92, + "learning_rate": 3.158088281917393e-07, + "loss": 0.8143, + "step": 10897 + }, + { + "epoch": 0.92, + "learning_rate": 3.1512480092677377e-07, + "loss": 0.8806, + "step": 10898 + }, + { + "epoch": 0.92, + "learning_rate": 3.1444150339176693e-07, + "loss": 0.8464, + "step": 10899 + }, + { + "epoch": 0.92, + "learning_rate": 3.137589356382076e-07, + "loss": 0.8525, + "step": 10900 + }, + { + "epoch": 0.92, + "learning_rate": 3.1307709771752124e-07, + "loss": 0.8245, + "step": 10901 + }, + { + "epoch": 0.92, + "learning_rate": 3.1239598968108577e-07, + "loss": 0.8474, + "step": 10902 + }, + { + "epoch": 0.92, + "learning_rate": 3.117156115802178e-07, + "loss": 0.8351, + "step": 10903 + }, + { + "epoch": 0.92, + "learning_rate": 3.1103596346618415e-07, + "loss": 0.8021, + "step": 10904 + }, + { + "epoch": 0.92, + "learning_rate": 3.1035704539019384e-07, + "loss": 0.895, + "step": 10905 + }, + { + "epoch": 0.92, + "learning_rate": 3.0967885740340266e-07, + "loss": 0.9192, + "step": 10906 + }, + { + "epoch": 0.92, + "learning_rate": 3.0900139955690857e-07, + "loss": 0.8294, + "step": 10907 + }, + { + "epoch": 0.92, + "learning_rate": 3.083246719017563e-07, + "loss": 0.8642, + "step": 10908 + }, + { + "epoch": 0.92, + "learning_rate": 3.076486744889373e-07, + "loss": 0.8993, + "step": 10909 + }, + { + "epoch": 0.92, + "learning_rate": 3.069734073693853e-07, + "loss": 0.8371, + "step": 10910 + }, + { + "epoch": 0.92, + "learning_rate": 3.0629887059397954e-07, + "loss": 0.4201, + "step": 10911 + }, + { + "epoch": 0.92, + "learning_rate": 3.05625064213545e-07, + "loss": 0.8553, + "step": 10912 + }, + { + "epoch": 0.92, + "learning_rate": 3.04951988278851e-07, + "loss": 0.8532, + "step": 10913 + }, + { + "epoch": 0.92, + "learning_rate": 3.042796428406114e-07, + "loss": 0.8341, + "step": 10914 + }, + { + "epoch": 0.93, + "learning_rate": 3.0360802794948687e-07, + "loss": 0.845, + "step": 10915 + }, + { + "epoch": 0.93, + "learning_rate": 3.029371436560824e-07, + "loss": 0.8364, + "step": 10916 + }, + { + "epoch": 0.93, + "learning_rate": 3.022669900109443e-07, + "loss": 0.8586, + "step": 10917 + }, + { + "epoch": 0.93, + "learning_rate": 3.0159756706456987e-07, + "loss": 0.8333, + "step": 10918 + }, + { + "epoch": 0.93, + "learning_rate": 3.0092887486739776e-07, + "loss": 0.8128, + "step": 10919 + }, + { + "epoch": 0.93, + "learning_rate": 3.00260913469812e-07, + "loss": 0.8572, + "step": 10920 + }, + { + "epoch": 0.93, + "learning_rate": 2.995936829221413e-07, + "loss": 0.8329, + "step": 10921 + }, + { + "epoch": 0.93, + "learning_rate": 2.9892718327465873e-07, + "loss": 0.8512, + "step": 10922 + }, + { + "epoch": 0.93, + "learning_rate": 2.982614145775864e-07, + "loss": 0.5058, + "step": 10923 + }, + { + "epoch": 0.93, + "learning_rate": 2.975963768810852e-07, + "loss": 0.7997, + "step": 10924 + }, + { + "epoch": 0.93, + "learning_rate": 2.9693207023526625e-07, + "loss": 0.8564, + "step": 10925 + }, + { + "epoch": 0.93, + "learning_rate": 2.962684946901806e-07, + "loss": 0.8387, + "step": 10926 + }, + { + "epoch": 0.93, + "learning_rate": 2.956056502958304e-07, + "loss": 0.8514, + "step": 10927 + }, + { + "epoch": 0.93, + "learning_rate": 2.9494353710215475e-07, + "loss": 0.8607, + "step": 10928 + }, + { + "epoch": 0.93, + "learning_rate": 2.94282155159048e-07, + "loss": 0.8449, + "step": 10929 + }, + { + "epoch": 0.93, + "learning_rate": 2.936215045163371e-07, + "loss": 0.8134, + "step": 10930 + }, + { + "epoch": 0.93, + "learning_rate": 2.9296158522380546e-07, + "loss": 0.8527, + "step": 10931 + }, + { + "epoch": 0.93, + "learning_rate": 2.923023973311745e-07, + "loss": 0.7946, + "step": 10932 + }, + { + "epoch": 0.93, + "learning_rate": 2.916439408881111e-07, + "loss": 0.8744, + "step": 10933 + }, + { + "epoch": 0.93, + "learning_rate": 2.9098621594423116e-07, + "loss": 0.8189, + "step": 10934 + }, + { + "epoch": 0.93, + "learning_rate": 2.9032922254908833e-07, + "loss": 0.8711, + "step": 10935 + }, + { + "epoch": 0.93, + "learning_rate": 2.896729607521898e-07, + "loss": 0.8287, + "step": 10936 + }, + { + "epoch": 0.93, + "learning_rate": 2.8901743060297917e-07, + "loss": 0.8046, + "step": 10937 + }, + { + "epoch": 0.93, + "learning_rate": 2.883626321508526e-07, + "loss": 0.883, + "step": 10938 + }, + { + "epoch": 0.93, + "learning_rate": 2.8770856544514393e-07, + "loss": 0.9019, + "step": 10939 + }, + { + "epoch": 0.93, + "learning_rate": 2.870552305351382e-07, + "loss": 0.849, + "step": 10940 + }, + { + "epoch": 0.93, + "learning_rate": 2.8640262747006043e-07, + "loss": 0.8388, + "step": 10941 + }, + { + "epoch": 0.93, + "learning_rate": 2.8575075629908465e-07, + "loss": 0.5737, + "step": 10942 + }, + { + "epoch": 0.93, + "learning_rate": 2.8509961707132496e-07, + "loss": 0.8979, + "step": 10943 + }, + { + "epoch": 0.93, + "learning_rate": 2.8444920983584647e-07, + "loss": 0.8741, + "step": 10944 + }, + { + "epoch": 0.93, + "learning_rate": 2.8379953464165334e-07, + "loss": 0.8227, + "step": 10945 + }, + { + "epoch": 0.93, + "learning_rate": 2.831505915376964e-07, + "loss": 0.8166, + "step": 10946 + }, + { + "epoch": 0.93, + "learning_rate": 2.8250238057287326e-07, + "loss": 0.8745, + "step": 10947 + }, + { + "epoch": 0.93, + "learning_rate": 2.818549017960237e-07, + "loss": 0.8551, + "step": 10948 + }, + { + "epoch": 0.93, + "learning_rate": 2.812081552559343e-07, + "loss": 0.8451, + "step": 10949 + }, + { + "epoch": 0.93, + "learning_rate": 2.8056214100133593e-07, + "loss": 0.8607, + "step": 10950 + }, + { + "epoch": 0.93, + "learning_rate": 2.7991685908090316e-07, + "loss": 0.8357, + "step": 10951 + }, + { + "epoch": 0.93, + "learning_rate": 2.79272309543257e-07, + "loss": 0.8255, + "step": 10952 + }, + { + "epoch": 0.93, + "learning_rate": 2.786284924369631e-07, + "loss": 0.8367, + "step": 10953 + }, + { + "epoch": 0.93, + "learning_rate": 2.779854078105304e-07, + "loss": 0.8635, + "step": 10954 + }, + { + "epoch": 0.93, + "learning_rate": 2.773430557124135e-07, + "loss": 0.8822, + "step": 10955 + }, + { + "epoch": 0.93, + "learning_rate": 2.7670143619101255e-07, + "loss": 0.8408, + "step": 10956 + }, + { + "epoch": 0.93, + "learning_rate": 2.760605492946722e-07, + "loss": 0.8364, + "step": 10957 + }, + { + "epoch": 0.93, + "learning_rate": 2.754203950716805e-07, + "loss": 0.8552, + "step": 10958 + }, + { + "epoch": 0.93, + "learning_rate": 2.7478097357027336e-07, + "loss": 0.8323, + "step": 10959 + }, + { + "epoch": 0.93, + "learning_rate": 2.741422848386266e-07, + "loss": 0.8501, + "step": 10960 + }, + { + "epoch": 0.93, + "learning_rate": 2.735043289248662e-07, + "loss": 0.849, + "step": 10961 + }, + { + "epoch": 0.93, + "learning_rate": 2.7286710587705933e-07, + "loss": 0.8392, + "step": 10962 + }, + { + "epoch": 0.93, + "learning_rate": 2.7223061574321975e-07, + "loss": 0.8255, + "step": 10963 + }, + { + "epoch": 0.93, + "learning_rate": 2.715948585713046e-07, + "loss": 0.8126, + "step": 10964 + }, + { + "epoch": 0.93, + "learning_rate": 2.7095983440921683e-07, + "loss": 0.8803, + "step": 10965 + }, + { + "epoch": 0.93, + "learning_rate": 2.7032554330480464e-07, + "loss": 0.8535, + "step": 10966 + }, + { + "epoch": 0.93, + "learning_rate": 2.696919853058588e-07, + "loss": 0.8834, + "step": 10967 + }, + { + "epoch": 0.93, + "learning_rate": 2.690591604601167e-07, + "loss": 0.8978, + "step": 10968 + }, + { + "epoch": 0.93, + "learning_rate": 2.6842706881526125e-07, + "loss": 0.8747, + "step": 10969 + }, + { + "epoch": 0.93, + "learning_rate": 2.677957104189155e-07, + "loss": 0.8512, + "step": 10970 + }, + { + "epoch": 0.93, + "learning_rate": 2.671650853186558e-07, + "loss": 0.849, + "step": 10971 + }, + { + "epoch": 0.93, + "learning_rate": 2.665351935619931e-07, + "loss": 0.8712, + "step": 10972 + }, + { + "epoch": 0.93, + "learning_rate": 2.6590603519639157e-07, + "loss": 0.851, + "step": 10973 + }, + { + "epoch": 0.93, + "learning_rate": 2.652776102692545e-07, + "loss": 0.808, + "step": 10974 + }, + { + "epoch": 0.93, + "learning_rate": 2.646499188279328e-07, + "loss": 0.8173, + "step": 10975 + }, + { + "epoch": 0.93, + "learning_rate": 2.6402296091972314e-07, + "loss": 0.8415, + "step": 10976 + }, + { + "epoch": 0.93, + "learning_rate": 2.6339673659186216e-07, + "loss": 0.8273, + "step": 10977 + }, + { + "epoch": 0.93, + "learning_rate": 2.6277124589153657e-07, + "loss": 0.8636, + "step": 10978 + }, + { + "epoch": 0.93, + "learning_rate": 2.6214648886587315e-07, + "loss": 0.8565, + "step": 10979 + }, + { + "epoch": 0.93, + "learning_rate": 2.6152246556194863e-07, + "loss": 0.8712, + "step": 10980 + }, + { + "epoch": 0.93, + "learning_rate": 2.608991760267776e-07, + "loss": 0.8375, + "step": 10981 + }, + { + "epoch": 0.93, + "learning_rate": 2.6027662030732814e-07, + "loss": 0.8415, + "step": 10982 + }, + { + "epoch": 0.93, + "learning_rate": 2.596547984505027e-07, + "loss": 0.8291, + "step": 10983 + }, + { + "epoch": 0.93, + "learning_rate": 2.590337105031604e-07, + "loss": 0.8303, + "step": 10984 + }, + { + "epoch": 0.93, + "learning_rate": 2.5841335651209166e-07, + "loss": 0.8742, + "step": 10985 + }, + { + "epoch": 0.93, + "learning_rate": 2.577937365240446e-07, + "loss": 0.8681, + "step": 10986 + }, + { + "epoch": 0.93, + "learning_rate": 2.5717485058570304e-07, + "loss": 0.8648, + "step": 10987 + }, + { + "epoch": 0.93, + "learning_rate": 2.5655669874369736e-07, + "loss": 0.8399, + "step": 10988 + }, + { + "epoch": 0.93, + "learning_rate": 2.5593928104460596e-07, + "loss": 0.8537, + "step": 10989 + }, + { + "epoch": 0.93, + "learning_rate": 2.5532259753494825e-07, + "loss": 0.8778, + "step": 10990 + }, + { + "epoch": 0.93, + "learning_rate": 2.547066482611904e-07, + "loss": 0.8261, + "step": 10991 + }, + { + "epoch": 0.93, + "learning_rate": 2.5409143326974196e-07, + "loss": 0.8488, + "step": 10992 + }, + { + "epoch": 0.93, + "learning_rate": 2.5347695260695805e-07, + "loss": 0.8146, + "step": 10993 + }, + { + "epoch": 0.93, + "learning_rate": 2.528632063191394e-07, + "loss": 0.84, + "step": 10994 + }, + { + "epoch": 0.93, + "learning_rate": 2.5225019445252795e-07, + "loss": 0.828, + "step": 10995 + }, + { + "epoch": 0.93, + "learning_rate": 2.5163791705331343e-07, + "loss": 0.8293, + "step": 10996 + }, + { + "epoch": 0.93, + "learning_rate": 2.5102637416762996e-07, + "loss": 0.4812, + "step": 10997 + }, + { + "epoch": 0.93, + "learning_rate": 2.5041556584155523e-07, + "loss": 0.8786, + "step": 10998 + }, + { + "epoch": 0.93, + "learning_rate": 2.4980549212111236e-07, + "loss": 0.8533, + "step": 10999 + }, + { + "epoch": 0.93, + "learning_rate": 2.491961530522691e-07, + "loss": 0.9, + "step": 11000 + }, + { + "epoch": 0.93, + "learning_rate": 2.485875486809364e-07, + "loss": 0.8719, + "step": 11001 + }, + { + "epoch": 0.93, + "learning_rate": 2.4797967905297093e-07, + "loss": 0.8485, + "step": 11002 + }, + { + "epoch": 0.93, + "learning_rate": 2.47372544214175e-07, + "loss": 0.8625, + "step": 11003 + }, + { + "epoch": 0.93, + "learning_rate": 2.467661442102953e-07, + "loss": 0.8191, + "step": 11004 + }, + { + "epoch": 0.93, + "learning_rate": 2.461604790870209e-07, + "loss": 0.7934, + "step": 11005 + }, + { + "epoch": 0.93, + "learning_rate": 2.4555554888998745e-07, + "loss": 0.9078, + "step": 11006 + }, + { + "epoch": 0.93, + "learning_rate": 2.449513536647752e-07, + "loss": 0.8051, + "step": 11007 + }, + { + "epoch": 0.93, + "learning_rate": 2.443478934569088e-07, + "loss": 0.8999, + "step": 11008 + }, + { + "epoch": 0.93, + "learning_rate": 2.4374516831185857e-07, + "loss": 0.8856, + "step": 11009 + }, + { + "epoch": 0.93, + "learning_rate": 2.4314317827503375e-07, + "loss": 0.8803, + "step": 11010 + }, + { + "epoch": 0.93, + "learning_rate": 2.4254192339179915e-07, + "loss": 0.8742, + "step": 11011 + }, + { + "epoch": 0.93, + "learning_rate": 2.419414037074519e-07, + "loss": 0.7736, + "step": 11012 + }, + { + "epoch": 0.93, + "learning_rate": 2.413416192672435e-07, + "loss": 0.8515, + "step": 11013 + }, + { + "epoch": 0.93, + "learning_rate": 2.407425701163635e-07, + "loss": 0.8797, + "step": 11014 + }, + { + "epoch": 0.93, + "learning_rate": 2.401442562999523e-07, + "loss": 0.5182, + "step": 11015 + }, + { + "epoch": 0.93, + "learning_rate": 2.3954667786308614e-07, + "loss": 0.8027, + "step": 11016 + }, + { + "epoch": 0.93, + "learning_rate": 2.3894983485079683e-07, + "loss": 0.8764, + "step": 11017 + }, + { + "epoch": 0.93, + "learning_rate": 2.383537273080505e-07, + "loss": 0.8715, + "step": 11018 + }, + { + "epoch": 0.93, + "learning_rate": 2.3775835527976243e-07, + "loss": 0.8694, + "step": 11019 + }, + { + "epoch": 0.93, + "learning_rate": 2.3716371881079558e-07, + "loss": 0.8967, + "step": 11020 + }, + { + "epoch": 0.93, + "learning_rate": 2.365698179459497e-07, + "loss": 0.8665, + "step": 11021 + }, + { + "epoch": 0.93, + "learning_rate": 2.3597665272997893e-07, + "loss": 0.8504, + "step": 11022 + }, + { + "epoch": 0.93, + "learning_rate": 2.3538422320757204e-07, + "loss": 0.8571, + "step": 11023 + }, + { + "epoch": 0.93, + "learning_rate": 2.3479252942337106e-07, + "loss": 0.868, + "step": 11024 + }, + { + "epoch": 0.93, + "learning_rate": 2.3420157142195365e-07, + "loss": 0.8234, + "step": 11025 + }, + { + "epoch": 0.93, + "learning_rate": 2.3361134924785313e-07, + "loss": 0.8408, + "step": 11026 + }, + { + "epoch": 0.93, + "learning_rate": 2.3302186294553497e-07, + "loss": 0.8522, + "step": 11027 + }, + { + "epoch": 0.93, + "learning_rate": 2.3243311255942035e-07, + "loss": 0.8595, + "step": 11028 + }, + { + "epoch": 0.93, + "learning_rate": 2.3184509813386713e-07, + "loss": 0.8266, + "step": 11029 + }, + { + "epoch": 0.93, + "learning_rate": 2.3125781971318207e-07, + "loss": 0.8566, + "step": 11030 + }, + { + "epoch": 0.93, + "learning_rate": 2.306712773416142e-07, + "loss": 0.8239, + "step": 11031 + }, + { + "epoch": 0.93, + "learning_rate": 2.3008547106335822e-07, + "loss": 0.891, + "step": 11032 + }, + { + "epoch": 0.94, + "learning_rate": 2.2950040092255322e-07, + "loss": 0.8766, + "step": 11033 + }, + { + "epoch": 0.94, + "learning_rate": 2.2891606696328283e-07, + "loss": 0.8326, + "step": 11034 + }, + { + "epoch": 0.94, + "learning_rate": 2.2833246922957408e-07, + "loss": 0.8133, + "step": 11035 + }, + { + "epoch": 0.94, + "learning_rate": 2.2774960776540178e-07, + "loss": 0.8472, + "step": 11036 + }, + { + "epoch": 0.94, + "learning_rate": 2.271674826146808e-07, + "loss": 0.8242, + "step": 11037 + }, + { + "epoch": 0.94, + "learning_rate": 2.2658609382127384e-07, + "loss": 0.8527, + "step": 11038 + }, + { + "epoch": 0.94, + "learning_rate": 2.2600544142898585e-07, + "loss": 0.8461, + "step": 11039 + }, + { + "epoch": 0.94, + "learning_rate": 2.254255254815696e-07, + "loss": 0.8584, + "step": 11040 + }, + { + "epoch": 0.94, + "learning_rate": 2.2484634602271794e-07, + "loss": 0.8306, + "step": 11041 + }, + { + "epoch": 0.94, + "learning_rate": 2.242679030960726e-07, + "loss": 0.8623, + "step": 11042 + }, + { + "epoch": 0.94, + "learning_rate": 2.2369019674521541e-07, + "loss": 0.8204, + "step": 11043 + }, + { + "epoch": 0.94, + "learning_rate": 2.231132270136771e-07, + "loss": 0.8507, + "step": 11044 + }, + { + "epoch": 0.94, + "learning_rate": 2.2253699394493066e-07, + "loss": 0.8242, + "step": 11045 + }, + { + "epoch": 0.94, + "learning_rate": 2.219614975823914e-07, + "loss": 0.8742, + "step": 11046 + }, + { + "epoch": 0.94, + "learning_rate": 2.2138673796942457e-07, + "loss": 0.8155, + "step": 11047 + }, + { + "epoch": 0.94, + "learning_rate": 2.2081271514933557e-07, + "loss": 0.7923, + "step": 11048 + }, + { + "epoch": 0.94, + "learning_rate": 2.2023942916537422e-07, + "loss": 0.8827, + "step": 11049 + }, + { + "epoch": 0.94, + "learning_rate": 2.196668800607382e-07, + "loss": 0.8369, + "step": 11050 + }, + { + "epoch": 0.94, + "learning_rate": 2.190950678785675e-07, + "loss": 0.8507, + "step": 11051 + }, + { + "epoch": 0.94, + "learning_rate": 2.1852399266194312e-07, + "loss": 0.8371, + "step": 11052 + }, + { + "epoch": 0.94, + "learning_rate": 2.179536544538996e-07, + "loss": 0.9323, + "step": 11053 + }, + { + "epoch": 0.94, + "learning_rate": 2.1738405329740586e-07, + "loss": 0.8866, + "step": 11054 + }, + { + "epoch": 0.94, + "learning_rate": 2.1681518923538315e-07, + "loss": 0.8794, + "step": 11055 + }, + { + "epoch": 0.94, + "learning_rate": 2.1624706231068936e-07, + "loss": 0.8395, + "step": 11056 + }, + { + "epoch": 0.94, + "learning_rate": 2.156796725661381e-07, + "loss": 0.852, + "step": 11057 + }, + { + "epoch": 0.94, + "learning_rate": 2.15113020044474e-07, + "loss": 0.8873, + "step": 11058 + }, + { + "epoch": 0.94, + "learning_rate": 2.1454710478839736e-07, + "loss": 0.8571, + "step": 11059 + }, + { + "epoch": 0.94, + "learning_rate": 2.139819268405463e-07, + "loss": 0.8744, + "step": 11060 + }, + { + "epoch": 0.94, + "learning_rate": 2.1341748624350678e-07, + "loss": 0.8357, + "step": 11061 + }, + { + "epoch": 0.94, + "learning_rate": 2.1285378303980585e-07, + "loss": 0.8495, + "step": 11062 + }, + { + "epoch": 0.94, + "learning_rate": 2.1229081727191846e-07, + "loss": 0.7865, + "step": 11063 + }, + { + "epoch": 0.94, + "learning_rate": 2.11728588982264e-07, + "loss": 0.8611, + "step": 11064 + }, + { + "epoch": 0.94, + "learning_rate": 2.111670982132008e-07, + "loss": 0.8537, + "step": 11065 + }, + { + "epoch": 0.94, + "learning_rate": 2.1060634500704168e-07, + "loss": 0.8141, + "step": 11066 + }, + { + "epoch": 0.94, + "learning_rate": 2.1004632940603176e-07, + "loss": 0.8645, + "step": 11067 + }, + { + "epoch": 0.94, + "learning_rate": 2.0948705145237168e-07, + "loss": 0.8193, + "step": 11068 + }, + { + "epoch": 0.94, + "learning_rate": 2.0892851118819778e-07, + "loss": 0.8345, + "step": 11069 + }, + { + "epoch": 0.94, + "learning_rate": 2.083707086555975e-07, + "loss": 0.8284, + "step": 11070 + }, + { + "epoch": 0.94, + "learning_rate": 2.078136438965983e-07, + "loss": 0.7958, + "step": 11071 + }, + { + "epoch": 0.94, + "learning_rate": 2.072573169531744e-07, + "loss": 0.8241, + "step": 11072 + }, + { + "epoch": 0.94, + "learning_rate": 2.067017278672423e-07, + "loss": 0.8753, + "step": 11073 + }, + { + "epoch": 0.94, + "learning_rate": 2.0614687668066403e-07, + "loss": 0.8338, + "step": 11074 + }, + { + "epoch": 0.94, + "learning_rate": 2.0559276343524838e-07, + "loss": 0.8524, + "step": 11075 + }, + { + "epoch": 0.94, + "learning_rate": 2.0503938817274416e-07, + "loss": 0.8916, + "step": 11076 + }, + { + "epoch": 0.94, + "learning_rate": 2.0448675093484805e-07, + "loss": 0.8334, + "step": 11077 + }, + { + "epoch": 0.94, + "learning_rate": 2.0393485176320005e-07, + "loss": 0.8695, + "step": 11078 + }, + { + "epoch": 0.94, + "learning_rate": 2.0338369069938246e-07, + "loss": 0.8427, + "step": 11079 + }, + { + "epoch": 0.94, + "learning_rate": 2.028332677849254e-07, + "loss": 0.8798, + "step": 11080 + }, + { + "epoch": 0.94, + "learning_rate": 2.0228358306130124e-07, + "loss": 0.8801, + "step": 11081 + }, + { + "epoch": 0.94, + "learning_rate": 2.0173463656992797e-07, + "loss": 0.8523, + "step": 11082 + }, + { + "epoch": 0.94, + "learning_rate": 2.0118642835216584e-07, + "loss": 0.8325, + "step": 11083 + }, + { + "epoch": 0.94, + "learning_rate": 2.006389584493218e-07, + "loss": 0.8195, + "step": 11084 + }, + { + "epoch": 0.94, + "learning_rate": 2.000922269026473e-07, + "loss": 0.8176, + "step": 11085 + }, + { + "epoch": 0.94, + "learning_rate": 1.9954623375333493e-07, + "loss": 0.8595, + "step": 11086 + }, + { + "epoch": 0.94, + "learning_rate": 1.9900097904252513e-07, + "loss": 0.823, + "step": 11087 + }, + { + "epoch": 0.94, + "learning_rate": 1.984564628113017e-07, + "loss": 0.8364, + "step": 11088 + }, + { + "epoch": 0.94, + "learning_rate": 1.9791268510069184e-07, + "loss": 0.8984, + "step": 11089 + }, + { + "epoch": 0.94, + "learning_rate": 1.9736964595166829e-07, + "loss": 0.8327, + "step": 11090 + }, + { + "epoch": 0.94, + "learning_rate": 1.9682734540514724e-07, + "loss": 0.636, + "step": 11091 + }, + { + "epoch": 0.94, + "learning_rate": 1.9628578350198933e-07, + "loss": 0.8238, + "step": 11092 + }, + { + "epoch": 0.94, + "learning_rate": 1.9574496028300194e-07, + "loss": 0.8359, + "step": 11093 + }, + { + "epoch": 0.94, + "learning_rate": 1.9520487578893022e-07, + "loss": 0.8103, + "step": 11094 + }, + { + "epoch": 0.94, + "learning_rate": 1.9466553006047383e-07, + "loss": 0.8242, + "step": 11095 + }, + { + "epoch": 0.94, + "learning_rate": 1.9412692313826586e-07, + "loss": 0.8705, + "step": 11096 + }, + { + "epoch": 0.94, + "learning_rate": 1.9358905506289271e-07, + "loss": 0.8396, + "step": 11097 + }, + { + "epoch": 0.94, + "learning_rate": 1.9305192587487753e-07, + "loss": 0.8326, + "step": 11098 + }, + { + "epoch": 0.94, + "learning_rate": 1.925155356146957e-07, + "loss": 0.825, + "step": 11099 + }, + { + "epoch": 0.94, + "learning_rate": 1.9197988432276048e-07, + "loss": 0.8181, + "step": 11100 + }, + { + "epoch": 0.94, + "learning_rate": 1.914449720394329e-07, + "loss": 0.84, + "step": 11101 + }, + { + "epoch": 0.94, + "learning_rate": 1.909107988050163e-07, + "loss": 0.8133, + "step": 11102 + }, + { + "epoch": 0.94, + "learning_rate": 1.9037736465975842e-07, + "loss": 0.8583, + "step": 11103 + }, + { + "epoch": 0.94, + "learning_rate": 1.8984466964385384e-07, + "loss": 0.84, + "step": 11104 + }, + { + "epoch": 0.94, + "learning_rate": 1.8931271379743931e-07, + "loss": 0.8967, + "step": 11105 + }, + { + "epoch": 0.94, + "learning_rate": 1.8878149716059613e-07, + "loss": 0.8674, + "step": 11106 + }, + { + "epoch": 0.94, + "learning_rate": 1.8825101977334891e-07, + "loss": 0.8659, + "step": 11107 + }, + { + "epoch": 0.94, + "learning_rate": 1.8772128167567128e-07, + "loss": 0.829, + "step": 11108 + }, + { + "epoch": 0.94, + "learning_rate": 1.8719228290747348e-07, + "loss": 0.8408, + "step": 11109 + }, + { + "epoch": 0.94, + "learning_rate": 1.8666402350861701e-07, + "loss": 0.8013, + "step": 11110 + }, + { + "epoch": 0.94, + "learning_rate": 1.8613650351890222e-07, + "loss": 0.8722, + "step": 11111 + }, + { + "epoch": 0.94, + "learning_rate": 1.8560972297807956e-07, + "loss": 0.8827, + "step": 11112 + }, + { + "epoch": 0.94, + "learning_rate": 1.8508368192583838e-07, + "loss": 0.8466, + "step": 11113 + }, + { + "epoch": 0.94, + "learning_rate": 1.8455838040181362e-07, + "loss": 0.865, + "step": 11114 + }, + { + "epoch": 0.94, + "learning_rate": 1.840338184455881e-07, + "loss": 0.8588, + "step": 11115 + }, + { + "epoch": 0.94, + "learning_rate": 1.8350999609668462e-07, + "loss": 0.8669, + "step": 11116 + }, + { + "epoch": 0.94, + "learning_rate": 1.8298691339457164e-07, + "loss": 0.8642, + "step": 11117 + }, + { + "epoch": 0.94, + "learning_rate": 1.8246457037866316e-07, + "loss": 0.8209, + "step": 11118 + }, + { + "epoch": 0.94, + "learning_rate": 1.8194296708831548e-07, + "loss": 0.8138, + "step": 11119 + }, + { + "epoch": 0.94, + "learning_rate": 1.814221035628294e-07, + "loss": 0.8065, + "step": 11120 + }, + { + "epoch": 0.94, + "learning_rate": 1.8090197984145242e-07, + "loss": 0.8385, + "step": 11121 + }, + { + "epoch": 0.94, + "learning_rate": 1.8038259596337316e-07, + "loss": 0.8701, + "step": 11122 + }, + { + "epoch": 0.94, + "learning_rate": 1.798639519677259e-07, + "loss": 0.7987, + "step": 11123 + }, + { + "epoch": 0.94, + "learning_rate": 1.7934604789359044e-07, + "loss": 0.8411, + "step": 11124 + }, + { + "epoch": 0.94, + "learning_rate": 1.7882888377998787e-07, + "loss": 0.7937, + "step": 11125 + }, + { + "epoch": 0.94, + "learning_rate": 1.7831245966588583e-07, + "loss": 0.797, + "step": 11126 + }, + { + "epoch": 0.94, + "learning_rate": 1.7779677559019436e-07, + "loss": 0.868, + "step": 11127 + }, + { + "epoch": 0.94, + "learning_rate": 1.7728183159177126e-07, + "loss": 0.8498, + "step": 11128 + }, + { + "epoch": 0.94, + "learning_rate": 1.7676762770941435e-07, + "loss": 0.8762, + "step": 11129 + }, + { + "epoch": 0.94, + "learning_rate": 1.7625416398186822e-07, + "loss": 0.8105, + "step": 11130 + }, + { + "epoch": 0.94, + "learning_rate": 1.7574144044782083e-07, + "loss": 0.8693, + "step": 11131 + }, + { + "epoch": 0.94, + "learning_rate": 1.7522945714590566e-07, + "loss": 0.8847, + "step": 11132 + }, + { + "epoch": 0.94, + "learning_rate": 1.7471821411469747e-07, + "loss": 0.8599, + "step": 11133 + }, + { + "epoch": 0.94, + "learning_rate": 1.7420771139271765e-07, + "loss": 0.8666, + "step": 11134 + }, + { + "epoch": 0.94, + "learning_rate": 1.7369794901843207e-07, + "loss": 0.8431, + "step": 11135 + }, + { + "epoch": 0.94, + "learning_rate": 1.7318892703024893e-07, + "loss": 0.8328, + "step": 11136 + }, + { + "epoch": 0.94, + "learning_rate": 1.7268064546652308e-07, + "loss": 0.8302, + "step": 11137 + }, + { + "epoch": 0.94, + "learning_rate": 1.7217310436554945e-07, + "loss": 0.8277, + "step": 11138 + }, + { + "epoch": 0.94, + "learning_rate": 1.7166630376557414e-07, + "loss": 0.8512, + "step": 11139 + }, + { + "epoch": 0.94, + "learning_rate": 1.711602437047788e-07, + "loss": 0.8782, + "step": 11140 + }, + { + "epoch": 0.94, + "learning_rate": 1.7065492422129737e-07, + "loss": 0.8394, + "step": 11141 + }, + { + "epoch": 0.94, + "learning_rate": 1.7015034535320163e-07, + "loss": 0.8369, + "step": 11142 + }, + { + "epoch": 0.94, + "learning_rate": 1.6964650713851228e-07, + "loss": 0.8427, + "step": 11143 + }, + { + "epoch": 0.94, + "learning_rate": 1.6914340961519116e-07, + "loss": 0.8821, + "step": 11144 + }, + { + "epoch": 0.94, + "learning_rate": 1.6864105282114573e-07, + "loss": 0.4836, + "step": 11145 + }, + { + "epoch": 0.94, + "learning_rate": 1.6813943679422684e-07, + "loss": 0.4354, + "step": 11146 + }, + { + "epoch": 0.94, + "learning_rate": 1.676385615722298e-07, + "loss": 0.8495, + "step": 11147 + }, + { + "epoch": 0.94, + "learning_rate": 1.671384271928955e-07, + "loss": 0.8855, + "step": 11148 + }, + { + "epoch": 0.94, + "learning_rate": 1.666390336939061e-07, + "loss": 0.8367, + "step": 11149 + }, + { + "epoch": 0.94, + "learning_rate": 1.6614038111289034e-07, + "loss": 0.834, + "step": 11150 + }, + { + "epoch": 0.95, + "learning_rate": 1.6564246948742035e-07, + "loss": 0.8696, + "step": 11151 + }, + { + "epoch": 0.95, + "learning_rate": 1.6514529885501397e-07, + "loss": 0.4987, + "step": 11152 + }, + { + "epoch": 0.95, + "learning_rate": 1.6464886925312895e-07, + "loss": 0.8305, + "step": 11153 + }, + { + "epoch": 0.95, + "learning_rate": 1.6415318071917207e-07, + "loss": 0.8688, + "step": 11154 + }, + { + "epoch": 0.95, + "learning_rate": 1.6365823329049124e-07, + "loss": 0.8509, + "step": 11155 + }, + { + "epoch": 0.95, + "learning_rate": 1.6316402700437883e-07, + "loss": 0.8016, + "step": 11156 + }, + { + "epoch": 0.95, + "learning_rate": 1.6267056189807395e-07, + "loss": 0.8392, + "step": 11157 + }, + { + "epoch": 0.95, + "learning_rate": 1.6217783800875576e-07, + "loss": 0.8344, + "step": 11158 + }, + { + "epoch": 0.95, + "learning_rate": 1.616858553735512e-07, + "loss": 0.8508, + "step": 11159 + }, + { + "epoch": 0.95, + "learning_rate": 1.611946140295295e-07, + "loss": 0.8163, + "step": 11160 + }, + { + "epoch": 0.95, + "learning_rate": 1.6070411401370335e-07, + "loss": 0.8449, + "step": 11161 + }, + { + "epoch": 0.95, + "learning_rate": 1.60214355363032e-07, + "loss": 0.8635, + "step": 11162 + }, + { + "epoch": 0.95, + "learning_rate": 1.5972533811441704e-07, + "loss": 0.5477, + "step": 11163 + }, + { + "epoch": 0.95, + "learning_rate": 1.592370623047046e-07, + "loss": 0.8633, + "step": 11164 + }, + { + "epoch": 0.95, + "learning_rate": 1.5874952797068522e-07, + "loss": 0.8716, + "step": 11165 + }, + { + "epoch": 0.95, + "learning_rate": 1.5826273514909284e-07, + "loss": 0.8521, + "step": 11166 + }, + { + "epoch": 0.95, + "learning_rate": 1.5777668387660706e-07, + "loss": 0.8344, + "step": 11167 + }, + { + "epoch": 0.95, + "learning_rate": 1.5729137418984852e-07, + "loss": 0.8673, + "step": 11168 + }, + { + "epoch": 0.95, + "learning_rate": 1.568068061253869e-07, + "loss": 0.8294, + "step": 11169 + }, + { + "epoch": 0.95, + "learning_rate": 1.5632297971972966e-07, + "loss": 0.5185, + "step": 11170 + }, + { + "epoch": 0.95, + "learning_rate": 1.5583989500933538e-07, + "loss": 0.8343, + "step": 11171 + }, + { + "epoch": 0.95, + "learning_rate": 1.5535755203060054e-07, + "loss": 0.8769, + "step": 11172 + }, + { + "epoch": 0.95, + "learning_rate": 1.548759508198694e-07, + "loss": 0.8341, + "step": 11173 + }, + { + "epoch": 0.95, + "learning_rate": 1.5439509141343068e-07, + "loss": 0.8412, + "step": 11174 + }, + { + "epoch": 0.95, + "learning_rate": 1.5391497384751318e-07, + "loss": 0.8648, + "step": 11175 + }, + { + "epoch": 0.95, + "learning_rate": 1.5343559815829468e-07, + "loss": 0.8352, + "step": 11176 + }, + { + "epoch": 0.95, + "learning_rate": 1.5295696438189511e-07, + "loss": 0.8765, + "step": 11177 + }, + { + "epoch": 0.95, + "learning_rate": 1.5247907255437456e-07, + "loss": 0.8633, + "step": 11178 + }, + { + "epoch": 0.95, + "learning_rate": 1.520019227117464e-07, + "loss": 0.8704, + "step": 11179 + }, + { + "epoch": 0.95, + "learning_rate": 1.5152551488995858e-07, + "loss": 0.8567, + "step": 11180 + }, + { + "epoch": 0.95, + "learning_rate": 1.5104984912490906e-07, + "loss": 0.8689, + "step": 11181 + }, + { + "epoch": 0.95, + "learning_rate": 1.505749254524358e-07, + "loss": 0.8686, + "step": 11182 + }, + { + "epoch": 0.95, + "learning_rate": 1.5010074390832684e-07, + "loss": 0.7824, + "step": 11183 + }, + { + "epoch": 0.95, + "learning_rate": 1.4962730452830698e-07, + "loss": 0.8632, + "step": 11184 + }, + { + "epoch": 0.95, + "learning_rate": 1.49154607348051e-07, + "loss": 0.8515, + "step": 11185 + }, + { + "epoch": 0.95, + "learning_rate": 1.486826524031737e-07, + "loss": 0.855, + "step": 11186 + }, + { + "epoch": 0.95, + "learning_rate": 1.482114397292367e-07, + "loss": 0.8467, + "step": 11187 + }, + { + "epoch": 0.95, + "learning_rate": 1.4774096936174376e-07, + "loss": 0.8814, + "step": 11188 + }, + { + "epoch": 0.95, + "learning_rate": 1.4727124133614433e-07, + "loss": 0.8558, + "step": 11189 + }, + { + "epoch": 0.95, + "learning_rate": 1.4680225568783124e-07, + "loss": 0.8548, + "step": 11190 + }, + { + "epoch": 0.95, + "learning_rate": 1.4633401245214064e-07, + "loss": 0.8674, + "step": 11191 + }, + { + "epoch": 0.95, + "learning_rate": 1.4586651166435427e-07, + "loss": 0.8478, + "step": 11192 + }, + { + "epoch": 0.95, + "learning_rate": 1.4539975335969735e-07, + "loss": 0.8077, + "step": 11193 + }, + { + "epoch": 0.95, + "learning_rate": 1.449337375733373e-07, + "loss": 0.8362, + "step": 11194 + }, + { + "epoch": 0.95, + "learning_rate": 1.4446846434038708e-07, + "loss": 0.8166, + "step": 11195 + }, + { + "epoch": 0.95, + "learning_rate": 1.4400393369590649e-07, + "loss": 0.8776, + "step": 11196 + }, + { + "epoch": 0.95, + "learning_rate": 1.4354014567489528e-07, + "loss": 0.882, + "step": 11197 + }, + { + "epoch": 0.95, + "learning_rate": 1.430771003122977e-07, + "loss": 0.8738, + "step": 11198 + }, + { + "epoch": 0.95, + "learning_rate": 1.426147976430037e-07, + "loss": 0.8469, + "step": 11199 + }, + { + "epoch": 0.95, + "learning_rate": 1.4215323770184642e-07, + "loss": 0.8392, + "step": 11200 + }, + { + "epoch": 0.95, + "learning_rate": 1.4169242052360367e-07, + "loss": 0.8407, + "step": 11201 + }, + { + "epoch": 0.95, + "learning_rate": 1.4123234614299651e-07, + "loss": 0.7899, + "step": 11202 + }, + { + "epoch": 0.95, + "learning_rate": 1.4077301459469062e-07, + "loss": 0.8648, + "step": 11203 + }, + { + "epoch": 0.95, + "learning_rate": 1.403144259132949e-07, + "loss": 0.8464, + "step": 11204 + }, + { + "epoch": 0.95, + "learning_rate": 1.398565801333629e-07, + "loss": 0.9001, + "step": 11205 + }, + { + "epoch": 0.95, + "learning_rate": 1.393994772893925e-07, + "loss": 0.8641, + "step": 11206 + }, + { + "epoch": 0.95, + "learning_rate": 1.389431174158251e-07, + "loss": 0.8492, + "step": 11207 + }, + { + "epoch": 0.95, + "learning_rate": 1.384875005470454e-07, + "loss": 0.869, + "step": 11208 + }, + { + "epoch": 0.95, + "learning_rate": 1.380326267173848e-07, + "loss": 0.8483, + "step": 11209 + }, + { + "epoch": 0.95, + "learning_rate": 1.3757849596111482e-07, + "loss": 0.8869, + "step": 11210 + }, + { + "epoch": 0.95, + "learning_rate": 1.3712510831245362e-07, + "loss": 0.9066, + "step": 11211 + }, + { + "epoch": 0.95, + "learning_rate": 1.3667246380556386e-07, + "loss": 0.8501, + "step": 11212 + }, + { + "epoch": 0.95, + "learning_rate": 1.362205624745494e-07, + "loss": 0.8384, + "step": 11213 + }, + { + "epoch": 0.95, + "learning_rate": 1.3576940435346075e-07, + "loss": 0.9209, + "step": 11214 + }, + { + "epoch": 0.95, + "learning_rate": 1.3531898947629296e-07, + "loss": 0.8562, + "step": 11215 + }, + { + "epoch": 0.95, + "learning_rate": 1.3486931787697998e-07, + "loss": 0.8708, + "step": 11216 + }, + { + "epoch": 0.95, + "learning_rate": 1.3442038958940694e-07, + "loss": 0.8778, + "step": 11217 + }, + { + "epoch": 0.95, + "learning_rate": 1.339722046473979e-07, + "loss": 0.8034, + "step": 11218 + }, + { + "epoch": 0.95, + "learning_rate": 1.335247630847225e-07, + "loss": 0.8493, + "step": 11219 + }, + { + "epoch": 0.95, + "learning_rate": 1.330780649350938e-07, + "loss": 0.859, + "step": 11220 + }, + { + "epoch": 0.95, + "learning_rate": 1.3263211023217038e-07, + "loss": 0.8708, + "step": 11221 + }, + { + "epoch": 0.95, + "learning_rate": 1.3218689900955207e-07, + "loss": 0.8756, + "step": 11222 + }, + { + "epoch": 0.95, + "learning_rate": 1.3174243130078645e-07, + "loss": 0.7777, + "step": 11223 + }, + { + "epoch": 0.95, + "learning_rate": 1.312987071393612e-07, + "loss": 0.4395, + "step": 11224 + }, + { + "epoch": 0.95, + "learning_rate": 1.3085572655871183e-07, + "loss": 0.8587, + "step": 11225 + }, + { + "epoch": 0.95, + "learning_rate": 1.3041348959221377e-07, + "loss": 0.8402, + "step": 11226 + }, + { + "epoch": 0.95, + "learning_rate": 1.2997199627319047e-07, + "loss": 0.8358, + "step": 11227 + }, + { + "epoch": 0.95, + "learning_rate": 1.2953124663490412e-07, + "loss": 0.8686, + "step": 11228 + }, + { + "epoch": 0.95, + "learning_rate": 1.2909124071056712e-07, + "loss": 0.8921, + "step": 11229 + }, + { + "epoch": 0.95, + "learning_rate": 1.2865197853333179e-07, + "loss": 0.8307, + "step": 11230 + }, + { + "epoch": 0.95, + "learning_rate": 1.282134601362939e-07, + "loss": 0.8396, + "step": 11231 + }, + { + "epoch": 0.95, + "learning_rate": 1.2777568555249697e-07, + "loss": 0.8445, + "step": 11232 + }, + { + "epoch": 0.95, + "learning_rate": 1.273386548149247e-07, + "loss": 0.8433, + "step": 11233 + }, + { + "epoch": 0.95, + "learning_rate": 1.2690236795650734e-07, + "loss": 0.8411, + "step": 11234 + }, + { + "epoch": 0.95, + "learning_rate": 1.2646682501011642e-07, + "loss": 0.903, + "step": 11235 + }, + { + "epoch": 0.95, + "learning_rate": 1.260320260085701e-07, + "loss": 0.8286, + "step": 11236 + }, + { + "epoch": 0.95, + "learning_rate": 1.255979709846289e-07, + "loss": 0.8278, + "step": 11237 + }, + { + "epoch": 0.95, + "learning_rate": 1.251646599709988e-07, + "loss": 0.9126, + "step": 11238 + }, + { + "epoch": 0.95, + "learning_rate": 1.2473209300032706e-07, + "loss": 0.8966, + "step": 11239 + }, + { + "epoch": 0.95, + "learning_rate": 1.2430027010520652e-07, + "loss": 0.8269, + "step": 11240 + }, + { + "epoch": 0.95, + "learning_rate": 1.2386919131817555e-07, + "loss": 0.8339, + "step": 11241 + }, + { + "epoch": 0.95, + "learning_rate": 1.2343885667171373e-07, + "loss": 0.8297, + "step": 11242 + }, + { + "epoch": 0.95, + "learning_rate": 1.2300926619824515e-07, + "loss": 0.829, + "step": 11243 + }, + { + "epoch": 0.95, + "learning_rate": 1.2258041993013947e-07, + "loss": 0.8214, + "step": 11244 + }, + { + "epoch": 0.95, + "learning_rate": 1.221523178997075e-07, + "loss": 0.8417, + "step": 11245 + }, + { + "epoch": 0.95, + "learning_rate": 1.2172496013920788e-07, + "loss": 0.831, + "step": 11246 + }, + { + "epoch": 0.95, + "learning_rate": 1.2129834668083928e-07, + "loss": 0.8469, + "step": 11247 + }, + { + "epoch": 0.95, + "learning_rate": 1.2087247755674603e-07, + "loss": 0.8304, + "step": 11248 + }, + { + "epoch": 0.95, + "learning_rate": 1.2044735279901687e-07, + "loss": 0.8552, + "step": 11249 + }, + { + "epoch": 0.95, + "learning_rate": 1.2002297243968397e-07, + "loss": 0.9039, + "step": 11250 + }, + { + "epoch": 0.95, + "learning_rate": 1.1959933651072065e-07, + "loss": 0.8443, + "step": 11251 + }, + { + "epoch": 0.95, + "learning_rate": 1.1917644504405023e-07, + "loss": 0.8759, + "step": 11252 + }, + { + "epoch": 0.95, + "learning_rate": 1.1875429807153616e-07, + "loss": 0.8621, + "step": 11253 + }, + { + "epoch": 0.95, + "learning_rate": 1.1833289562498406e-07, + "loss": 0.8153, + "step": 11254 + }, + { + "epoch": 0.95, + "learning_rate": 1.1791223773614635e-07, + "loss": 0.8607, + "step": 11255 + }, + { + "epoch": 0.95, + "learning_rate": 1.1749232443671877e-07, + "loss": 0.8372, + "step": 11256 + }, + { + "epoch": 0.95, + "learning_rate": 1.1707315575834044e-07, + "loss": 0.8927, + "step": 11257 + }, + { + "epoch": 0.95, + "learning_rate": 1.1665473173259612e-07, + "loss": 0.817, + "step": 11258 + }, + { + "epoch": 0.95, + "learning_rate": 1.1623705239101058e-07, + "loss": 0.5552, + "step": 11259 + }, + { + "epoch": 0.95, + "learning_rate": 1.158201177650553e-07, + "loss": 0.8052, + "step": 11260 + }, + { + "epoch": 0.95, + "learning_rate": 1.154039278861474e-07, + "loss": 0.8528, + "step": 11261 + }, + { + "epoch": 0.95, + "learning_rate": 1.149884827856429e-07, + "loss": 0.8912, + "step": 11262 + }, + { + "epoch": 0.95, + "learning_rate": 1.1457378249484674e-07, + "loss": 0.832, + "step": 11263 + }, + { + "epoch": 0.95, + "learning_rate": 1.1415982704500284e-07, + "loss": 0.8355, + "step": 11264 + }, + { + "epoch": 0.95, + "learning_rate": 1.1374661646730512e-07, + "loss": 0.8557, + "step": 11265 + }, + { + "epoch": 0.95, + "learning_rate": 1.1333415079288424e-07, + "loss": 0.8668, + "step": 11266 + }, + { + "epoch": 0.95, + "learning_rate": 1.12922430052822e-07, + "loss": 0.8607, + "step": 11267 + }, + { + "epoch": 0.95, + "learning_rate": 1.1251145427813804e-07, + "loss": 0.8749, + "step": 11268 + }, + { + "epoch": 0.96, + "learning_rate": 1.1210122349979979e-07, + "loss": 0.8615, + "step": 11269 + }, + { + "epoch": 0.96, + "learning_rate": 1.1169173774871478e-07, + "loss": 0.9053, + "step": 11270 + }, + { + "epoch": 0.96, + "learning_rate": 1.1128299705573942e-07, + "loss": 0.82, + "step": 11271 + }, + { + "epoch": 0.96, + "learning_rate": 1.1087500145166908e-07, + "loss": 0.8183, + "step": 11272 + }, + { + "epoch": 0.96, + "learning_rate": 1.1046775096724693e-07, + "loss": 0.8772, + "step": 11273 + }, + { + "epoch": 0.96, + "learning_rate": 1.1006124563315624e-07, + "loss": 0.5173, + "step": 11274 + }, + { + "epoch": 0.96, + "learning_rate": 1.0965548548002802e-07, + "loss": 0.8954, + "step": 11275 + }, + { + "epoch": 0.96, + "learning_rate": 1.0925047053843452e-07, + "loss": 0.8413, + "step": 11276 + }, + { + "epoch": 0.96, + "learning_rate": 1.0884620083889241e-07, + "loss": 0.8694, + "step": 11277 + }, + { + "epoch": 0.96, + "learning_rate": 1.084426764118629e-07, + "loss": 0.8386, + "step": 11278 + }, + { + "epoch": 0.96, + "learning_rate": 1.0803989728774944e-07, + "loss": 0.8299, + "step": 11279 + }, + { + "epoch": 0.96, + "learning_rate": 1.0763786349690109e-07, + "loss": 0.8986, + "step": 11280 + }, + { + "epoch": 0.96, + "learning_rate": 1.0723657506961027e-07, + "loss": 0.8296, + "step": 11281 + }, + { + "epoch": 0.96, + "learning_rate": 1.0683603203611281e-07, + "loss": 0.8343, + "step": 11282 + }, + { + "epoch": 0.96, + "learning_rate": 1.064362344265879e-07, + "loss": 0.8579, + "step": 11283 + }, + { + "epoch": 0.96, + "learning_rate": 1.0603718227116034e-07, + "loss": 0.8688, + "step": 11284 + }, + { + "epoch": 0.96, + "learning_rate": 1.0563887559989606e-07, + "loss": 0.8552, + "step": 11285 + }, + { + "epoch": 0.96, + "learning_rate": 1.0524131444280882e-07, + "loss": 0.828, + "step": 11286 + }, + { + "epoch": 0.96, + "learning_rate": 1.0484449882985138e-07, + "loss": 0.8793, + "step": 11287 + }, + { + "epoch": 0.96, + "learning_rate": 1.0444842879092531e-07, + "loss": 0.8461, + "step": 11288 + }, + { + "epoch": 0.96, + "learning_rate": 1.0405310435587013e-07, + "loss": 0.8171, + "step": 11289 + }, + { + "epoch": 0.96, + "learning_rate": 1.0365852555447642e-07, + "loss": 0.8233, + "step": 11290 + }, + { + "epoch": 0.96, + "learning_rate": 1.0326469241647153e-07, + "loss": 0.5133, + "step": 11291 + }, + { + "epoch": 0.96, + "learning_rate": 1.028716049715306e-07, + "loss": 0.8537, + "step": 11292 + }, + { + "epoch": 0.96, + "learning_rate": 1.0247926324927215e-07, + "loss": 0.8191, + "step": 11293 + }, + { + "epoch": 0.96, + "learning_rate": 1.0208766727925812e-07, + "loss": 0.907, + "step": 11294 + }, + { + "epoch": 0.96, + "learning_rate": 1.0169681709099377e-07, + "loss": 0.8008, + "step": 11295 + }, + { + "epoch": 0.96, + "learning_rate": 1.0130671271392889e-07, + "loss": 0.85, + "step": 11296 + }, + { + "epoch": 0.96, + "learning_rate": 1.0091735417745662e-07, + "loss": 0.8646, + "step": 11297 + }, + { + "epoch": 0.96, + "learning_rate": 1.0052874151091463e-07, + "loss": 0.8589, + "step": 11298 + }, + { + "epoch": 0.96, + "learning_rate": 1.0014087474358392e-07, + "loss": 0.8569, + "step": 11299 + }, + { + "epoch": 0.96, + "learning_rate": 9.975375390468889e-08, + "loss": 0.8615, + "step": 11300 + }, + { + "epoch": 0.96, + "learning_rate": 9.936737902339844e-08, + "loss": 0.8587, + "step": 11301 + }, + { + "epoch": 0.96, + "learning_rate": 9.89817501288226e-08, + "loss": 0.8513, + "step": 11302 + }, + { + "epoch": 0.96, + "learning_rate": 9.85968672500215e-08, + "loss": 0.845, + "step": 11303 + }, + { + "epoch": 0.96, + "learning_rate": 9.821273041599189e-08, + "loss": 0.7813, + "step": 11304 + }, + { + "epoch": 0.96, + "learning_rate": 9.782933965567953e-08, + "loss": 0.8984, + "step": 11305 + }, + { + "epoch": 0.96, + "learning_rate": 9.744669499797021e-08, + "loss": 0.8592, + "step": 11306 + }, + { + "epoch": 0.96, + "learning_rate": 9.706479647169643e-08, + "loss": 0.8386, + "step": 11307 + }, + { + "epoch": 0.96, + "learning_rate": 9.66836441056318e-08, + "loss": 0.7986, + "step": 11308 + }, + { + "epoch": 0.96, + "learning_rate": 9.630323792849672e-08, + "loss": 0.822, + "step": 11309 + }, + { + "epoch": 0.96, + "learning_rate": 9.592357796895268e-08, + "loss": 0.7972, + "step": 11310 + }, + { + "epoch": 0.96, + "learning_rate": 9.554466425560793e-08, + "loss": 0.8438, + "step": 11311 + }, + { + "epoch": 0.96, + "learning_rate": 9.516649681700962e-08, + "loss": 0.8664, + "step": 11312 + }, + { + "epoch": 0.96, + "learning_rate": 9.478907568165385e-08, + "loss": 0.8442, + "step": 11313 + }, + { + "epoch": 0.96, + "learning_rate": 9.441240087797787e-08, + "loss": 0.8369, + "step": 11314 + }, + { + "epoch": 0.96, + "learning_rate": 9.403647243436342e-08, + "loss": 0.8327, + "step": 11315 + }, + { + "epoch": 0.96, + "learning_rate": 9.366129037913563e-08, + "loss": 0.8294, + "step": 11316 + }, + { + "epoch": 0.96, + "learning_rate": 9.328685474056187e-08, + "loss": 0.5651, + "step": 11317 + }, + { + "epoch": 0.96, + "learning_rate": 9.291316554685737e-08, + "loss": 0.8129, + "step": 11318 + }, + { + "epoch": 0.96, + "learning_rate": 9.254022282617736e-08, + "loss": 0.8473, + "step": 11319 + }, + { + "epoch": 0.96, + "learning_rate": 9.216802660662161e-08, + "loss": 0.828, + "step": 11320 + }, + { + "epoch": 0.96, + "learning_rate": 9.179657691623544e-08, + "loss": 0.9253, + "step": 11321 + }, + { + "epoch": 0.96, + "learning_rate": 9.142587378300539e-08, + "loss": 0.8329, + "step": 11322 + }, + { + "epoch": 0.96, + "learning_rate": 9.105591723486352e-08, + "loss": 0.878, + "step": 11323 + }, + { + "epoch": 0.96, + "learning_rate": 9.068670729968532e-08, + "loss": 0.8634, + "step": 11324 + }, + { + "epoch": 0.96, + "learning_rate": 9.031824400528854e-08, + "loss": 0.9195, + "step": 11325 + }, + { + "epoch": 0.96, + "learning_rate": 8.995052737943766e-08, + "loss": 0.8441, + "step": 11326 + }, + { + "epoch": 0.96, + "learning_rate": 8.958355744983937e-08, + "loss": 0.8481, + "step": 11327 + }, + { + "epoch": 0.96, + "learning_rate": 8.921733424414158e-08, + "loss": 0.8533, + "step": 11328 + }, + { + "epoch": 0.96, + "learning_rate": 8.885185778993999e-08, + "loss": 0.8345, + "step": 11329 + }, + { + "epoch": 0.96, + "learning_rate": 8.848712811477145e-08, + "loss": 0.8429, + "step": 11330 + }, + { + "epoch": 0.96, + "learning_rate": 8.812314524611843e-08, + "loss": 0.8889, + "step": 11331 + }, + { + "epoch": 0.96, + "learning_rate": 8.775990921140565e-08, + "loss": 0.8218, + "step": 11332 + }, + { + "epoch": 0.96, + "learning_rate": 8.739742003800233e-08, + "loss": 0.8816, + "step": 11333 + }, + { + "epoch": 0.96, + "learning_rate": 8.703567775321998e-08, + "loss": 0.8428, + "step": 11334 + }, + { + "epoch": 0.96, + "learning_rate": 8.667468238431453e-08, + "loss": 0.7931, + "step": 11335 + }, + { + "epoch": 0.96, + "learning_rate": 8.63144339584887e-08, + "loss": 0.8055, + "step": 11336 + }, + { + "epoch": 0.96, + "learning_rate": 8.595493250288301e-08, + "loss": 0.8602, + "step": 11337 + }, + { + "epoch": 0.96, + "learning_rate": 8.559617804458798e-08, + "loss": 0.8189, + "step": 11338 + }, + { + "epoch": 0.96, + "learning_rate": 8.5238170610632e-08, + "loss": 0.8469, + "step": 11339 + }, + { + "epoch": 0.96, + "learning_rate": 8.488091022799239e-08, + "loss": 0.4129, + "step": 11340 + }, + { + "epoch": 0.96, + "learning_rate": 8.452439692358649e-08, + "loss": 0.8223, + "step": 11341 + }, + { + "epoch": 0.96, + "learning_rate": 8.416863072427728e-08, + "loss": 0.8279, + "step": 11342 + }, + { + "epoch": 0.96, + "learning_rate": 8.381361165687108e-08, + "loss": 0.8458, + "step": 11343 + }, + { + "epoch": 0.96, + "learning_rate": 8.345933974811537e-08, + "loss": 0.865, + "step": 11344 + }, + { + "epoch": 0.96, + "learning_rate": 8.310581502470661e-08, + "loss": 0.8829, + "step": 11345 + }, + { + "epoch": 0.96, + "learning_rate": 8.2753037513279e-08, + "loss": 0.8291, + "step": 11346 + }, + { + "epoch": 0.96, + "learning_rate": 8.240100724041689e-08, + "loss": 0.8192, + "step": 11347 + }, + { + "epoch": 0.96, + "learning_rate": 8.204972423264124e-08, + "loss": 0.8226, + "step": 11348 + }, + { + "epoch": 0.96, + "learning_rate": 8.169918851642311e-08, + "loss": 0.8666, + "step": 11349 + }, + { + "epoch": 0.96, + "learning_rate": 8.13494001181725e-08, + "loss": 0.8567, + "step": 11350 + }, + { + "epoch": 0.96, + "learning_rate": 8.100035906424719e-08, + "loss": 0.8215, + "step": 11351 + }, + { + "epoch": 0.96, + "learning_rate": 8.065206538094395e-08, + "loss": 0.8127, + "step": 11352 + }, + { + "epoch": 0.96, + "learning_rate": 8.030451909450842e-08, + "loss": 0.8473, + "step": 11353 + }, + { + "epoch": 0.96, + "learning_rate": 7.995772023112525e-08, + "loss": 0.8393, + "step": 11354 + }, + { + "epoch": 0.96, + "learning_rate": 7.961166881692573e-08, + "loss": 0.8695, + "step": 11355 + }, + { + "epoch": 0.96, + "learning_rate": 7.926636487798345e-08, + "loss": 0.8188, + "step": 11356 + }, + { + "epoch": 0.96, + "learning_rate": 7.89218084403165e-08, + "loss": 0.8323, + "step": 11357 + }, + { + "epoch": 0.96, + "learning_rate": 7.857799952988632e-08, + "loss": 0.8955, + "step": 11358 + }, + { + "epoch": 0.96, + "learning_rate": 7.823493817259776e-08, + "loss": 0.5064, + "step": 11359 + }, + { + "epoch": 0.96, + "learning_rate": 7.789262439430012e-08, + "loss": 0.7701, + "step": 11360 + }, + { + "epoch": 0.96, + "learning_rate": 7.755105822078502e-08, + "loss": 0.8515, + "step": 11361 + }, + { + "epoch": 0.96, + "learning_rate": 7.721023967778962e-08, + "loss": 0.8516, + "step": 11362 + }, + { + "epoch": 0.96, + "learning_rate": 7.68701687909923e-08, + "loss": 0.8486, + "step": 11363 + }, + { + "epoch": 0.96, + "learning_rate": 7.653084558601808e-08, + "loss": 0.8537, + "step": 11364 + }, + { + "epoch": 0.96, + "learning_rate": 7.619227008843322e-08, + "loss": 0.8588, + "step": 11365 + }, + { + "epoch": 0.96, + "learning_rate": 7.58544423237484e-08, + "loss": 0.8715, + "step": 11366 + }, + { + "epoch": 0.96, + "learning_rate": 7.55173623174188e-08, + "loss": 0.8226, + "step": 11367 + }, + { + "epoch": 0.96, + "learning_rate": 7.518103009484079e-08, + "loss": 0.9079, + "step": 11368 + }, + { + "epoch": 0.96, + "learning_rate": 7.484544568135854e-08, + "loss": 0.819, + "step": 11369 + }, + { + "epoch": 0.96, + "learning_rate": 7.451060910225627e-08, + "loss": 0.9012, + "step": 11370 + }, + { + "epoch": 0.96, + "learning_rate": 7.417652038276157e-08, + "loss": 0.8822, + "step": 11371 + }, + { + "epoch": 0.96, + "learning_rate": 7.384317954804987e-08, + "loss": 0.8582, + "step": 11372 + }, + { + "epoch": 0.96, + "learning_rate": 7.351058662323551e-08, + "loss": 0.868, + "step": 11373 + }, + { + "epoch": 0.96, + "learning_rate": 7.317874163338068e-08, + "loss": 0.8589, + "step": 11374 + }, + { + "epoch": 0.96, + "learning_rate": 7.284764460348647e-08, + "loss": 0.8405, + "step": 11375 + }, + { + "epoch": 0.96, + "learning_rate": 7.251729555850184e-08, + "loss": 0.8489, + "step": 11376 + }, + { + "epoch": 0.96, + "learning_rate": 7.218769452331576e-08, + "loss": 0.8608, + "step": 11377 + }, + { + "epoch": 0.96, + "learning_rate": 7.1858841522765e-08, + "loss": 0.8921, + "step": 11378 + }, + { + "epoch": 0.96, + "learning_rate": 7.153073658162646e-08, + "loss": 0.8672, + "step": 11379 + }, + { + "epoch": 0.96, + "learning_rate": 7.120337972462365e-08, + "loss": 0.8269, + "step": 11380 + }, + { + "epoch": 0.96, + "learning_rate": 7.08767709764202e-08, + "loss": 0.865, + "step": 11381 + }, + { + "epoch": 0.96, + "learning_rate": 7.055091036162642e-08, + "loss": 0.8701, + "step": 11382 + }, + { + "epoch": 0.96, + "learning_rate": 7.022579790479378e-08, + "loss": 0.8879, + "step": 11383 + }, + { + "epoch": 0.96, + "learning_rate": 6.990143363042045e-08, + "loss": 0.8707, + "step": 11384 + }, + { + "epoch": 0.96, + "learning_rate": 6.957781756294469e-08, + "loss": 0.8806, + "step": 11385 + }, + { + "epoch": 0.96, + "learning_rate": 6.925494972675029e-08, + "loss": 0.8713, + "step": 11386 + }, + { + "epoch": 0.97, + "learning_rate": 6.89328301461667e-08, + "loss": 0.8558, + "step": 11387 + }, + { + "epoch": 0.97, + "learning_rate": 6.861145884546117e-08, + "loss": 0.871, + "step": 11388 + }, + { + "epoch": 0.97, + "learning_rate": 6.82908358488521e-08, + "loss": 0.8146, + "step": 11389 + }, + { + "epoch": 0.97, + "learning_rate": 6.797096118049462e-08, + "loss": 0.8338, + "step": 11390 + }, + { + "epoch": 0.97, + "learning_rate": 6.765183486449167e-08, + "loss": 0.8502, + "step": 11391 + }, + { + "epoch": 0.97, + "learning_rate": 6.733345692488736e-08, + "loss": 0.8292, + "step": 11392 + }, + { + "epoch": 0.97, + "learning_rate": 6.701582738567359e-08, + "loss": 0.839, + "step": 11393 + }, + { + "epoch": 0.97, + "learning_rate": 6.6698946270779e-08, + "loss": 0.8449, + "step": 11394 + }, + { + "epoch": 0.97, + "learning_rate": 6.638281360408339e-08, + "loss": 0.7921, + "step": 11395 + }, + { + "epoch": 0.97, + "learning_rate": 6.606742940940436e-08, + "loss": 0.8233, + "step": 11396 + }, + { + "epoch": 0.97, + "learning_rate": 6.575279371050513e-08, + "loss": 0.8688, + "step": 11397 + }, + { + "epoch": 0.97, + "learning_rate": 6.543890653109341e-08, + "loss": 0.8451, + "step": 11398 + }, + { + "epoch": 0.97, + "learning_rate": 6.512576789482028e-08, + "loss": 0.5215, + "step": 11399 + }, + { + "epoch": 0.97, + "learning_rate": 6.481337782527908e-08, + "loss": 0.8428, + "step": 11400 + }, + { + "epoch": 0.97, + "learning_rate": 6.450173634600876e-08, + "loss": 0.8326, + "step": 11401 + }, + { + "epoch": 0.97, + "learning_rate": 6.419084348048832e-08, + "loss": 0.8625, + "step": 11402 + }, + { + "epoch": 0.97, + "learning_rate": 6.388069925214458e-08, + "loss": 0.8786, + "step": 11403 + }, + { + "epoch": 0.97, + "learning_rate": 6.35713036843455e-08, + "loss": 0.8855, + "step": 11404 + }, + { + "epoch": 0.97, + "learning_rate": 6.326265680040467e-08, + "loss": 0.8462, + "step": 11405 + }, + { + "epoch": 0.97, + "learning_rate": 6.29547586235757e-08, + "loss": 0.8587, + "step": 11406 + }, + { + "epoch": 0.97, + "learning_rate": 6.264760917705782e-08, + "loss": 0.8899, + "step": 11407 + }, + { + "epoch": 0.97, + "learning_rate": 6.234120848399583e-08, + "loss": 0.8263, + "step": 11408 + }, + { + "epoch": 0.97, + "learning_rate": 6.203555656747574e-08, + "loss": 0.8516, + "step": 11409 + }, + { + "epoch": 0.97, + "learning_rate": 6.173065345052687e-08, + "loss": 0.8727, + "step": 11410 + }, + { + "epoch": 0.97, + "learning_rate": 6.142649915612308e-08, + "loss": 0.8193, + "step": 11411 + }, + { + "epoch": 0.97, + "learning_rate": 6.112309370718162e-08, + "loss": 0.8051, + "step": 11412 + }, + { + "epoch": 0.97, + "learning_rate": 6.082043712656305e-08, + "loss": 0.8198, + "step": 11413 + }, + { + "epoch": 0.97, + "learning_rate": 6.051852943707248e-08, + "loss": 0.8101, + "step": 11414 + }, + { + "epoch": 0.97, + "learning_rate": 6.021737066145727e-08, + "loss": 0.8355, + "step": 11415 + }, + { + "epoch": 0.97, + "learning_rate": 5.991696082240817e-08, + "loss": 0.8408, + "step": 11416 + }, + { + "epoch": 0.97, + "learning_rate": 5.96172999425626e-08, + "loss": 0.8544, + "step": 11417 + }, + { + "epoch": 0.97, + "learning_rate": 5.9318388044498075e-08, + "loss": 0.8475, + "step": 11418 + }, + { + "epoch": 0.97, + "learning_rate": 5.9020225150735466e-08, + "loss": 0.9159, + "step": 11419 + }, + { + "epoch": 0.97, + "learning_rate": 5.872281128374235e-08, + "loss": 0.9059, + "step": 11420 + }, + { + "epoch": 0.97, + "learning_rate": 5.842614646592637e-08, + "loss": 0.8317, + "step": 11421 + }, + { + "epoch": 0.97, + "learning_rate": 5.813023071964296e-08, + "loss": 0.9192, + "step": 11422 + }, + { + "epoch": 0.97, + "learning_rate": 5.783506406718653e-08, + "loss": 0.8624, + "step": 11423 + }, + { + "epoch": 0.97, + "learning_rate": 5.754064653079816e-08, + "loss": 0.8452, + "step": 11424 + }, + { + "epoch": 0.97, + "learning_rate": 5.7246978132659e-08, + "loss": 0.8102, + "step": 11425 + }, + { + "epoch": 0.97, + "learning_rate": 5.695405889490024e-08, + "loss": 0.8712, + "step": 11426 + }, + { + "epoch": 0.97, + "learning_rate": 5.6661888839590895e-08, + "loss": 0.8138, + "step": 11427 + }, + { + "epoch": 0.97, + "learning_rate": 5.637046798874335e-08, + "loss": 0.8216, + "step": 11428 + }, + { + "epoch": 0.97, + "learning_rate": 5.6079796364317815e-08, + "loss": 0.8695, + "step": 11429 + }, + { + "epoch": 0.97, + "learning_rate": 5.578987398821345e-08, + "loss": 0.8462, + "step": 11430 + }, + { + "epoch": 0.97, + "learning_rate": 5.550070088227721e-08, + "loss": 0.8959, + "step": 11431 + }, + { + "epoch": 0.97, + "learning_rate": 5.5212277068297237e-08, + "loss": 0.845, + "step": 11432 + }, + { + "epoch": 0.97, + "learning_rate": 5.4924602568005024e-08, + "loss": 0.8059, + "step": 11433 + }, + { + "epoch": 0.97, + "learning_rate": 5.4924602568005024e-08, + "loss": 0.8484, + "step": 11434 + }, + { + "epoch": 0.97, + "learning_rate": 5.4637677403074355e-08, + "loss": 0.8415, + "step": 11435 + }, + { + "epoch": 0.97, + "learning_rate": 5.435150159512792e-08, + "loss": 0.8895, + "step": 11436 + }, + { + "epoch": 0.97, + "learning_rate": 5.406607516572515e-08, + "loss": 0.822, + "step": 11437 + }, + { + "epoch": 0.97, + "learning_rate": 5.3781398136374394e-08, + "loss": 0.8702, + "step": 11438 + }, + { + "epoch": 0.97, + "learning_rate": 5.349747052852405e-08, + "loss": 0.8858, + "step": 11439 + }, + { + "epoch": 0.97, + "learning_rate": 5.3214292363568123e-08, + "loss": 0.8752, + "step": 11440 + }, + { + "epoch": 0.97, + "learning_rate": 5.2931863662841755e-08, + "loss": 0.8486, + "step": 11441 + }, + { + "epoch": 0.97, + "learning_rate": 5.265018444762682e-08, + "loss": 0.8756, + "step": 11442 + }, + { + "epoch": 0.97, + "learning_rate": 5.236925473914633e-08, + "loss": 0.8408, + "step": 11443 + }, + { + "epoch": 0.97, + "learning_rate": 5.208907455856782e-08, + "loss": 0.8405, + "step": 11444 + }, + { + "epoch": 0.97, + "learning_rate": 5.180964392700216e-08, + "loss": 0.9208, + "step": 11445 + }, + { + "epoch": 0.97, + "learning_rate": 5.153096286550474e-08, + "loss": 0.8576, + "step": 11446 + }, + { + "epoch": 0.97, + "learning_rate": 5.1253031395070985e-08, + "loss": 0.8504, + "step": 11447 + }, + { + "epoch": 0.97, + "learning_rate": 5.097584953664525e-08, + "loss": 0.8463, + "step": 11448 + }, + { + "epoch": 0.97, + "learning_rate": 5.069941731110972e-08, + "loss": 0.8445, + "step": 11449 + }, + { + "epoch": 0.97, + "learning_rate": 5.04237347392944e-08, + "loss": 0.8911, + "step": 11450 + }, + { + "epoch": 0.97, + "learning_rate": 5.0148801841971575e-08, + "loss": 0.8099, + "step": 11451 + }, + { + "epoch": 0.97, + "learning_rate": 4.9874618639854656e-08, + "loss": 0.8382, + "step": 11452 + }, + { + "epoch": 0.97, + "learning_rate": 4.96011851536049e-08, + "loss": 0.86, + "step": 11453 + }, + { + "epoch": 0.97, + "learning_rate": 4.9328501403824725e-08, + "loss": 0.8739, + "step": 11454 + }, + { + "epoch": 0.97, + "learning_rate": 4.905656741105769e-08, + "loss": 0.8543, + "step": 11455 + }, + { + "epoch": 0.97, + "learning_rate": 4.878538319579629e-08, + "loss": 0.4466, + "step": 11456 + }, + { + "epoch": 0.97, + "learning_rate": 4.851494877847196e-08, + "loss": 0.8869, + "step": 11457 + }, + { + "epoch": 0.97, + "learning_rate": 4.824526417946063e-08, + "loss": 0.8643, + "step": 11458 + }, + { + "epoch": 0.97, + "learning_rate": 4.7976329419084924e-08, + "loss": 0.8322, + "step": 11459 + }, + { + "epoch": 0.97, + "learning_rate": 4.77081445176053e-08, + "loss": 0.8448, + "step": 11460 + }, + { + "epoch": 0.97, + "learning_rate": 4.7440709495231164e-08, + "loss": 0.8427, + "step": 11461 + }, + { + "epoch": 0.97, + "learning_rate": 4.717402437211083e-08, + "loss": 0.8826, + "step": 11462 + }, + { + "epoch": 0.97, + "learning_rate": 4.6908089168340444e-08, + "loss": 0.8401, + "step": 11463 + }, + { + "epoch": 0.97, + "learning_rate": 4.664290390395509e-08, + "loss": 0.8587, + "step": 11464 + }, + { + "epoch": 0.97, + "learning_rate": 4.6378468598938794e-08, + "loss": 0.8156, + "step": 11465 + }, + { + "epoch": 0.97, + "learning_rate": 4.6114783273213395e-08, + "loss": 0.8353, + "step": 11466 + }, + { + "epoch": 0.97, + "learning_rate": 4.5851847946649653e-08, + "loss": 0.857, + "step": 11467 + }, + { + "epoch": 0.97, + "learning_rate": 4.5589662639056175e-08, + "loss": 0.8502, + "step": 11468 + }, + { + "epoch": 0.97, + "learning_rate": 4.532822737018938e-08, + "loss": 0.8272, + "step": 11469 + }, + { + "epoch": 0.97, + "learning_rate": 4.5067542159747955e-08, + "loss": 0.8541, + "step": 11470 + }, + { + "epoch": 0.97, + "learning_rate": 4.480760702737286e-08, + "loss": 0.8601, + "step": 11471 + }, + { + "epoch": 0.97, + "learning_rate": 4.454842199265064e-08, + "loss": 0.8676, + "step": 11472 + }, + { + "epoch": 0.97, + "learning_rate": 4.4289987075109006e-08, + "loss": 0.8494, + "step": 11473 + }, + { + "epoch": 0.97, + "learning_rate": 4.40323022942224e-08, + "loss": 0.8222, + "step": 11474 + }, + { + "epoch": 0.97, + "learning_rate": 4.377536766940416e-08, + "loss": 0.8608, + "step": 11475 + }, + { + "epoch": 0.97, + "learning_rate": 4.351918322001547e-08, + "loss": 0.8562, + "step": 11476 + }, + { + "epoch": 0.97, + "learning_rate": 4.326374896535757e-08, + "loss": 0.8475, + "step": 11477 + }, + { + "epoch": 0.97, + "learning_rate": 4.300906492467838e-08, + "loss": 0.8653, + "step": 11478 + }, + { + "epoch": 0.97, + "learning_rate": 4.275513111716589e-08, + "loss": 0.8654, + "step": 11479 + }, + { + "epoch": 0.97, + "learning_rate": 4.2501947561955914e-08, + "loss": 0.8601, + "step": 11480 + }, + { + "epoch": 0.97, + "learning_rate": 4.2249514278123184e-08, + "loss": 0.8137, + "step": 11481 + }, + { + "epoch": 0.97, + "learning_rate": 4.199783128468804e-08, + "loss": 0.8498, + "step": 11482 + }, + { + "epoch": 0.97, + "learning_rate": 4.174689860061532e-08, + "loss": 0.8435, + "step": 11483 + }, + { + "epoch": 0.97, + "learning_rate": 4.1496716244811e-08, + "loss": 0.8298, + "step": 11484 + }, + { + "epoch": 0.97, + "learning_rate": 4.1247284236125565e-08, + "loss": 0.8537, + "step": 11485 + }, + { + "epoch": 0.97, + "learning_rate": 4.099860259335287e-08, + "loss": 0.8412, + "step": 11486 + }, + { + "epoch": 0.97, + "learning_rate": 4.0750671335232363e-08, + "loss": 0.8441, + "step": 11487 + }, + { + "epoch": 0.97, + "learning_rate": 4.050349048044244e-08, + "loss": 0.8831, + "step": 11488 + }, + { + "epoch": 0.97, + "learning_rate": 4.025706004760932e-08, + "loss": 0.8968, + "step": 11489 + }, + { + "epoch": 0.97, + "learning_rate": 4.001138005530036e-08, + "loss": 0.512, + "step": 11490 + }, + { + "epoch": 0.97, + "learning_rate": 3.9766450522027436e-08, + "loss": 0.8304, + "step": 11491 + }, + { + "epoch": 0.97, + "learning_rate": 3.952227146624465e-08, + "loss": 0.8686, + "step": 11492 + }, + { + "epoch": 0.97, + "learning_rate": 3.927884290634953e-08, + "loss": 0.517, + "step": 11493 + }, + { + "epoch": 0.97, + "learning_rate": 3.903616486068518e-08, + "loss": 0.8465, + "step": 11494 + }, + { + "epoch": 0.97, + "learning_rate": 3.879423734753585e-08, + "loss": 0.8572, + "step": 11495 + }, + { + "epoch": 0.97, + "learning_rate": 3.85530603851314e-08, + "loss": 0.8405, + "step": 11496 + }, + { + "epoch": 0.97, + "learning_rate": 3.8312633991642865e-08, + "loss": 0.8679, + "step": 11497 + }, + { + "epoch": 0.97, + "learning_rate": 3.8072958185184635e-08, + "loss": 0.8652, + "step": 11498 + }, + { + "epoch": 0.97, + "learning_rate": 3.7834032983817826e-08, + "loss": 0.8405, + "step": 11499 + }, + { + "epoch": 0.97, + "learning_rate": 3.759585840554358e-08, + "loss": 0.8256, + "step": 11500 + }, + { + "epoch": 0.97, + "learning_rate": 3.735843446830867e-08, + "loss": 0.8126, + "step": 11501 + }, + { + "epoch": 0.97, + "learning_rate": 3.712176119000099e-08, + "loss": 0.514, + "step": 11502 + }, + { + "epoch": 0.97, + "learning_rate": 3.688583858845518e-08, + "loss": 0.8539, + "step": 11503 + }, + { + "epoch": 0.97, + "learning_rate": 3.665066668144479e-08, + "loss": 0.8038, + "step": 11504 + }, + { + "epoch": 0.98, + "learning_rate": 3.6416245486692315e-08, + "loss": 0.8936, + "step": 11505 + }, + { + "epoch": 0.98, + "learning_rate": 3.618257502185696e-08, + "loss": 0.8668, + "step": 11506 + }, + { + "epoch": 0.98, + "learning_rate": 3.5949655304550193e-08, + "loss": 0.8149, + "step": 11507 + }, + { + "epoch": 0.98, + "learning_rate": 3.571748635231687e-08, + "loss": 0.8423, + "step": 11508 + }, + { + "epoch": 0.98, + "learning_rate": 3.54860681826541e-08, + "loss": 0.8535, + "step": 11509 + }, + { + "epoch": 0.98, + "learning_rate": 3.525540081299683e-08, + "loss": 0.8331, + "step": 11510 + }, + { + "epoch": 0.98, + "learning_rate": 3.502548426072561e-08, + "loss": 0.8562, + "step": 11511 + }, + { + "epoch": 0.98, + "learning_rate": 3.479631854316434e-08, + "loss": 0.8599, + "step": 11512 + }, + { + "epoch": 0.98, + "learning_rate": 3.456790367757923e-08, + "loss": 0.8682, + "step": 11513 + }, + { + "epoch": 0.98, + "learning_rate": 3.434023968118205e-08, + "loss": 0.8773, + "step": 11514 + }, + { + "epoch": 0.98, + "learning_rate": 3.411332657112465e-08, + "loss": 0.8727, + "step": 11515 + }, + { + "epoch": 0.98, + "learning_rate": 3.3887164364506676e-08, + "loss": 0.8269, + "step": 11516 + }, + { + "epoch": 0.98, + "learning_rate": 3.366175307836672e-08, + "loss": 0.8027, + "step": 11517 + }, + { + "epoch": 0.98, + "learning_rate": 3.34370927296912e-08, + "loss": 0.8173, + "step": 11518 + }, + { + "epoch": 0.98, + "learning_rate": 3.321318333540546e-08, + "loss": 0.8718, + "step": 11519 + }, + { + "epoch": 0.98, + "learning_rate": 3.299002491238268e-08, + "loss": 0.8528, + "step": 11520 + }, + { + "epoch": 0.98, + "learning_rate": 3.276761747743495e-08, + "loss": 0.4709, + "step": 11521 + }, + { + "epoch": 0.98, + "learning_rate": 3.254596104732222e-08, + "loss": 0.8551, + "step": 11522 + }, + { + "epoch": 0.98, + "learning_rate": 3.232505563874444e-08, + "loss": 0.8525, + "step": 11523 + }, + { + "epoch": 0.98, + "learning_rate": 3.2104901268346086e-08, + "loss": 0.8439, + "step": 11524 + }, + { + "epoch": 0.98, + "learning_rate": 3.188549795271612e-08, + "loss": 0.8208, + "step": 11525 + }, + { + "epoch": 0.98, + "learning_rate": 3.166684570838463e-08, + "loss": 0.8174, + "step": 11526 + }, + { + "epoch": 0.98, + "learning_rate": 3.1448944551828454e-08, + "loss": 0.8099, + "step": 11527 + }, + { + "epoch": 0.98, + "learning_rate": 3.123179449946445e-08, + "loss": 0.8585, + "step": 11528 + }, + { + "epoch": 0.98, + "learning_rate": 3.101539556765509e-08, + "loss": 0.8298, + "step": 11529 + }, + { + "epoch": 0.98, + "learning_rate": 3.0799747772704006e-08, + "loss": 0.8251, + "step": 11530 + }, + { + "epoch": 0.98, + "learning_rate": 3.0584851130861516e-08, + "loss": 0.8476, + "step": 11531 + }, + { + "epoch": 0.98, + "learning_rate": 3.0370705658319125e-08, + "loss": 0.8375, + "step": 11532 + }, + { + "epoch": 0.98, + "learning_rate": 3.015731137121169e-08, + "loss": 0.5259, + "step": 11533 + }, + { + "epoch": 0.98, + "learning_rate": 2.9944668285617486e-08, + "loss": 0.9052, + "step": 11534 + }, + { + "epoch": 0.98, + "learning_rate": 2.973277641755923e-08, + "loss": 0.6042, + "step": 11535 + }, + { + "epoch": 0.98, + "learning_rate": 2.9521635783001932e-08, + "loss": 0.8347, + "step": 11536 + }, + { + "epoch": 0.98, + "learning_rate": 2.9311246397855097e-08, + "loss": 0.7873, + "step": 11537 + }, + { + "epoch": 0.98, + "learning_rate": 2.9101608277970484e-08, + "loss": 0.8414, + "step": 11538 + }, + { + "epoch": 0.98, + "learning_rate": 2.8892721439144344e-08, + "loss": 0.8584, + "step": 11539 + }, + { + "epoch": 0.98, + "learning_rate": 2.8684585897116313e-08, + "loss": 0.4616, + "step": 11540 + }, + { + "epoch": 0.98, + "learning_rate": 2.847720166756718e-08, + "loss": 0.8012, + "step": 11541 + }, + { + "epoch": 0.98, + "learning_rate": 2.827056876612333e-08, + "loss": 0.815, + "step": 11542 + }, + { + "epoch": 0.98, + "learning_rate": 2.8064687208354534e-08, + "loss": 0.8368, + "step": 11543 + }, + { + "epoch": 0.98, + "learning_rate": 2.785955700977394e-08, + "loss": 0.8345, + "step": 11544 + }, + { + "epoch": 0.98, + "learning_rate": 2.765517818583585e-08, + "loss": 0.8573, + "step": 11545 + }, + { + "epoch": 0.98, + "learning_rate": 2.7451550751941282e-08, + "loss": 0.8207, + "step": 11546 + }, + { + "epoch": 0.98, + "learning_rate": 2.72486747234324e-08, + "loss": 0.8289, + "step": 11547 + }, + { + "epoch": 0.98, + "learning_rate": 2.704655011559476e-08, + "loss": 0.8786, + "step": 11548 + }, + { + "epoch": 0.98, + "learning_rate": 2.684517694365951e-08, + "loss": 0.7992, + "step": 11549 + }, + { + "epoch": 0.98, + "learning_rate": 2.664455522279785e-08, + "loss": 0.8528, + "step": 11550 + }, + { + "epoch": 0.98, + "learning_rate": 2.6444684968127687e-08, + "loss": 0.4615, + "step": 11551 + }, + { + "epoch": 0.98, + "learning_rate": 2.6245566194706973e-08, + "loss": 0.8877, + "step": 11552 + }, + { + "epoch": 0.98, + "learning_rate": 2.6047198917540372e-08, + "loss": 0.8762, + "step": 11553 + }, + { + "epoch": 0.98, + "learning_rate": 2.584958315157371e-08, + "loss": 0.8824, + "step": 11554 + }, + { + "epoch": 0.98, + "learning_rate": 2.5652718911696185e-08, + "loss": 0.8628, + "step": 11555 + }, + { + "epoch": 0.98, + "learning_rate": 2.5456606212742596e-08, + "loss": 0.86, + "step": 11556 + }, + { + "epoch": 0.98, + "learning_rate": 2.5261245069487793e-08, + "loss": 0.8219, + "step": 11557 + }, + { + "epoch": 0.98, + "learning_rate": 2.5066635496652225e-08, + "loss": 0.8198, + "step": 11558 + }, + { + "epoch": 0.98, + "learning_rate": 2.4872777508899716e-08, + "loss": 0.8436, + "step": 11559 + }, + { + "epoch": 0.98, + "learning_rate": 2.4679671120837466e-08, + "loss": 0.8249, + "step": 11560 + }, + { + "epoch": 0.98, + "learning_rate": 2.4487316347013845e-08, + "loss": 0.8054, + "step": 11561 + }, + { + "epoch": 0.98, + "learning_rate": 2.4295713201923922e-08, + "loss": 0.8566, + "step": 11562 + }, + { + "epoch": 0.98, + "learning_rate": 2.4104861700002813e-08, + "loss": 0.507, + "step": 11563 + }, + { + "epoch": 0.98, + "learning_rate": 2.3914761855632353e-08, + "loss": 0.8368, + "step": 11564 + }, + { + "epoch": 0.98, + "learning_rate": 2.3725413683135525e-08, + "loss": 0.8545, + "step": 11565 + }, + { + "epoch": 0.98, + "learning_rate": 2.3536817196778693e-08, + "loss": 0.8488, + "step": 11566 + }, + { + "epoch": 0.98, + "learning_rate": 2.3348972410772718e-08, + "loss": 0.8607, + "step": 11567 + }, + { + "epoch": 0.98, + "learning_rate": 2.316187933927072e-08, + "loss": 0.9009, + "step": 11568 + }, + { + "epoch": 0.98, + "learning_rate": 2.2975537996370313e-08, + "loss": 0.8567, + "step": 11569 + }, + { + "epoch": 0.98, + "learning_rate": 2.278994839611026e-08, + "loss": 0.845, + "step": 11570 + }, + { + "epoch": 0.98, + "learning_rate": 2.2605110552477162e-08, + "loss": 0.8899, + "step": 11571 + }, + { + "epoch": 0.98, + "learning_rate": 2.2421024479395426e-08, + "loss": 0.848, + "step": 11572 + }, + { + "epoch": 0.98, + "learning_rate": 2.2237690190736183e-08, + "loss": 0.8476, + "step": 11573 + }, + { + "epoch": 0.98, + "learning_rate": 2.2055107700312827e-08, + "loss": 0.8539, + "step": 11574 + }, + { + "epoch": 0.98, + "learning_rate": 2.1873277021884353e-08, + "loss": 0.8966, + "step": 11575 + }, + { + "epoch": 0.98, + "learning_rate": 2.169219816914869e-08, + "loss": 0.8797, + "step": 11576 + }, + { + "epoch": 0.98, + "learning_rate": 2.1511871155751597e-08, + "loss": 0.8123, + "step": 11577 + }, + { + "epoch": 0.98, + "learning_rate": 2.1332295995279972e-08, + "loss": 0.8332, + "step": 11578 + }, + { + "epoch": 0.98, + "learning_rate": 2.1153472701263e-08, + "loss": 0.8501, + "step": 11579 + }, + { + "epoch": 0.98, + "learning_rate": 2.0975401287175456e-08, + "loss": 0.8283, + "step": 11580 + }, + { + "epoch": 0.98, + "learning_rate": 2.0798081766434385e-08, + "loss": 0.8413, + "step": 11581 + }, + { + "epoch": 0.98, + "learning_rate": 2.0621514152401323e-08, + "loss": 0.8214, + "step": 11582 + }, + { + "epoch": 0.98, + "learning_rate": 2.0445698458377848e-08, + "loss": 0.8519, + "step": 11583 + }, + { + "epoch": 0.98, + "learning_rate": 2.0270634697614478e-08, + "loss": 0.8436, + "step": 11584 + }, + { + "epoch": 0.98, + "learning_rate": 2.0096322883298435e-08, + "loss": 0.8715, + "step": 11585 + }, + { + "epoch": 0.98, + "learning_rate": 1.9922763028565885e-08, + "loss": 0.8455, + "step": 11586 + }, + { + "epoch": 0.98, + "learning_rate": 1.9749955146494137e-08, + "loss": 0.8506, + "step": 11587 + }, + { + "epoch": 0.98, + "learning_rate": 1.9577899250101674e-08, + "loss": 0.8675, + "step": 11588 + }, + { + "epoch": 0.98, + "learning_rate": 1.9406595352354784e-08, + "loss": 0.8606, + "step": 11589 + }, + { + "epoch": 0.98, + "learning_rate": 1.9236043466159816e-08, + "loss": 0.8294, + "step": 11590 + }, + { + "epoch": 0.98, + "learning_rate": 1.9066243604367595e-08, + "loss": 0.7841, + "step": 11591 + }, + { + "epoch": 0.98, + "learning_rate": 1.8897195779771225e-08, + "loss": 0.866, + "step": 11592 + }, + { + "epoch": 0.98, + "learning_rate": 1.8728900005109408e-08, + "loss": 0.8396, + "step": 11593 + }, + { + "epoch": 0.98, + "learning_rate": 1.8561356293061995e-08, + "loss": 0.8414, + "step": 11594 + }, + { + "epoch": 0.98, + "learning_rate": 1.8394564656253335e-08, + "loss": 0.8464, + "step": 11595 + }, + { + "epoch": 0.98, + "learning_rate": 1.8228525107251148e-08, + "loss": 0.846, + "step": 11596 + }, + { + "epoch": 0.98, + "learning_rate": 1.8063237658564325e-08, + "loss": 0.8455, + "step": 11597 + }, + { + "epoch": 0.98, + "learning_rate": 1.7898702322648453e-08, + "loss": 0.8406, + "step": 11598 + }, + { + "epoch": 0.98, + "learning_rate": 1.7734919111900286e-08, + "loss": 0.8744, + "step": 11599 + }, + { + "epoch": 0.98, + "learning_rate": 1.7571888038661056e-08, + "loss": 0.8696, + "step": 11600 + }, + { + "epoch": 0.98, + "learning_rate": 1.7409609115213166e-08, + "loss": 0.8885, + "step": 11601 + }, + { + "epoch": 0.98, + "learning_rate": 1.7248082353785723e-08, + "loss": 0.8091, + "step": 11602 + }, + { + "epoch": 0.98, + "learning_rate": 1.708730776654899e-08, + "loss": 0.8345, + "step": 11603 + }, + { + "epoch": 0.98, + "learning_rate": 1.6927285365615497e-08, + "loss": 0.8107, + "step": 11604 + }, + { + "epoch": 0.98, + "learning_rate": 1.6768015163043383e-08, + "loss": 0.8284, + "step": 11605 + }, + { + "epoch": 0.98, + "learning_rate": 1.6609497170834154e-08, + "loss": 0.501, + "step": 11606 + }, + { + "epoch": 0.98, + "learning_rate": 1.6451731400930483e-08, + "loss": 0.8353, + "step": 11607 + }, + { + "epoch": 0.98, + "learning_rate": 1.6294717865220634e-08, + "loss": 0.8561, + "step": 11608 + }, + { + "epoch": 0.98, + "learning_rate": 1.6138456575534034e-08, + "loss": 0.8423, + "step": 11609 + }, + { + "epoch": 0.98, + "learning_rate": 1.598294754364571e-08, + "loss": 0.8071, + "step": 11610 + }, + { + "epoch": 0.98, + "learning_rate": 1.5828190781271846e-08, + "loss": 0.878, + "step": 11611 + }, + { + "epoch": 0.98, + "learning_rate": 1.5674186300073113e-08, + "loss": 0.8659, + "step": 11612 + }, + { + "epoch": 0.98, + "learning_rate": 1.5520934111653563e-08, + "loss": 0.8152, + "step": 11613 + }, + { + "epoch": 0.98, + "learning_rate": 1.5368434227560624e-08, + "loss": 0.7988, + "step": 11614 + }, + { + "epoch": 0.98, + "learning_rate": 1.5216686659285106e-08, + "loss": 0.8341, + "step": 11615 + }, + { + "epoch": 0.98, + "learning_rate": 1.5065691418260086e-08, + "loss": 0.8168, + "step": 11616 + }, + { + "epoch": 0.98, + "learning_rate": 1.491544851586202e-08, + "loss": 0.876, + "step": 11617 + }, + { + "epoch": 0.98, + "learning_rate": 1.4765957963412957e-08, + "loss": 0.8687, + "step": 11618 + }, + { + "epoch": 0.98, + "learning_rate": 1.4617219772175006e-08, + "loss": 0.9307, + "step": 11619 + }, + { + "epoch": 0.98, + "learning_rate": 1.4469233953355866e-08, + "loss": 0.469, + "step": 11620 + }, + { + "epoch": 0.98, + "learning_rate": 1.4322000518106616e-08, + "loss": 0.8781, + "step": 11621 + }, + { + "epoch": 0.98, + "learning_rate": 1.4175519477520606e-08, + "loss": 0.9208, + "step": 11622 + }, + { + "epoch": 0.99, + "learning_rate": 1.4029790842633451e-08, + "loss": 0.8551, + "step": 11623 + }, + { + "epoch": 0.99, + "learning_rate": 1.3884814624427478e-08, + "loss": 0.5224, + "step": 11624 + }, + { + "epoch": 0.99, + "learning_rate": 1.3740590833823952e-08, + "loss": 0.8429, + "step": 11625 + }, + { + "epoch": 0.99, + "learning_rate": 1.3597119481691956e-08, + "loss": 0.8348, + "step": 11626 + }, + { + "epoch": 0.99, + "learning_rate": 1.345440057884062e-08, + "loss": 0.8037, + "step": 11627 + }, + { + "epoch": 0.99, + "learning_rate": 1.3312434136023567e-08, + "loss": 0.8878, + "step": 11628 + }, + { + "epoch": 0.99, + "learning_rate": 1.3171220163936682e-08, + "loss": 0.8447, + "step": 11629 + }, + { + "epoch": 0.99, + "learning_rate": 1.3030758673221456e-08, + "loss": 0.905, + "step": 11630 + }, + { + "epoch": 0.99, + "learning_rate": 1.2891049674461643e-08, + "loss": 0.7921, + "step": 11631 + }, + { + "epoch": 0.99, + "learning_rate": 1.2752093178182157e-08, + "loss": 0.9053, + "step": 11632 + }, + { + "epoch": 0.99, + "learning_rate": 1.2613889194854623e-08, + "loss": 0.8601, + "step": 11633 + }, + { + "epoch": 0.99, + "learning_rate": 1.2476437734891822e-08, + "loss": 0.8457, + "step": 11634 + }, + { + "epoch": 0.99, + "learning_rate": 1.2339738808649915e-08, + "loss": 0.8336, + "step": 11635 + }, + { + "epoch": 0.99, + "learning_rate": 1.220379242642844e-08, + "loss": 0.859, + "step": 11636 + }, + { + "epoch": 0.99, + "learning_rate": 1.2068598598472536e-08, + "loss": 0.8581, + "step": 11637 + }, + { + "epoch": 0.99, + "learning_rate": 1.193415733496628e-08, + "loss": 0.8697, + "step": 11638 + }, + { + "epoch": 0.99, + "learning_rate": 1.1800468646041563e-08, + "loss": 0.8498, + "step": 11639 + }, + { + "epoch": 0.99, + "learning_rate": 1.1667532541769222e-08, + "loss": 0.8074, + "step": 11640 + }, + { + "epoch": 0.99, + "learning_rate": 1.1535349032167908e-08, + "loss": 0.8796, + "step": 11641 + }, + { + "epoch": 0.99, + "learning_rate": 1.1403918127196323e-08, + "loss": 0.8726, + "step": 11642 + }, + { + "epoch": 0.99, + "learning_rate": 1.1273239836757655e-08, + "loss": 0.8275, + "step": 11643 + }, + { + "epoch": 0.99, + "learning_rate": 1.1143314170698472e-08, + "loss": 0.8468, + "step": 11644 + }, + { + "epoch": 0.99, + "learning_rate": 1.10141411388065e-08, + "loss": 0.821, + "step": 11645 + }, + { + "epoch": 0.99, + "learning_rate": 1.0885720750817286e-08, + "loss": 0.8354, + "step": 11646 + }, + { + "epoch": 0.99, + "learning_rate": 1.0758053016405312e-08, + "loss": 0.8884, + "step": 11647 + }, + { + "epoch": 0.99, + "learning_rate": 1.063113794518955e-08, + "loss": 0.8392, + "step": 11648 + }, + { + "epoch": 0.99, + "learning_rate": 1.0504975546733464e-08, + "loss": 0.8314, + "step": 11649 + }, + { + "epoch": 0.99, + "learning_rate": 1.0379565830543892e-08, + "loss": 0.8647, + "step": 11650 + }, + { + "epoch": 0.99, + "learning_rate": 1.0254908806068831e-08, + "loss": 0.8545, + "step": 11651 + }, + { + "epoch": 0.99, + "learning_rate": 1.0131004482701878e-08, + "loss": 0.8613, + "step": 11652 + }, + { + "epoch": 0.99, + "learning_rate": 1.00078528697789e-08, + "loss": 0.862, + "step": 11653 + }, + { + "epoch": 0.99, + "learning_rate": 9.88545397657692e-09, + "loss": 0.8646, + "step": 11654 + }, + { + "epoch": 0.99, + "learning_rate": 9.76380781232078e-09, + "loss": 0.8221, + "step": 11655 + }, + { + "epoch": 0.99, + "learning_rate": 9.642914386175373e-09, + "loss": 0.8659, + "step": 11656 + }, + { + "epoch": 0.99, + "learning_rate": 9.522773707250077e-09, + "loss": 0.8603, + "step": 11657 + }, + { + "epoch": 0.99, + "learning_rate": 9.403385784596541e-09, + "loss": 0.8375, + "step": 11658 + }, + { + "epoch": 0.99, + "learning_rate": 9.284750627210904e-09, + "loss": 0.8619, + "step": 11659 + }, + { + "epoch": 0.99, + "learning_rate": 9.166868244031568e-09, + "loss": 0.8672, + "step": 11660 + }, + { + "epoch": 0.99, + "learning_rate": 9.04973864394032e-09, + "loss": 0.8577, + "step": 11661 + }, + { + "epoch": 0.99, + "learning_rate": 8.933361835763433e-09, + "loss": 0.8185, + "step": 11662 + }, + { + "epoch": 0.99, + "learning_rate": 8.817737828269446e-09, + "loss": 0.8173, + "step": 11663 + }, + { + "epoch": 0.99, + "learning_rate": 8.702866630170282e-09, + "loss": 0.8438, + "step": 11664 + }, + { + "epoch": 0.99, + "learning_rate": 8.588748250120126e-09, + "loss": 0.8574, + "step": 11665 + }, + { + "epoch": 0.99, + "learning_rate": 8.47538269671988e-09, + "loss": 0.8634, + "step": 11666 + }, + { + "epoch": 0.99, + "learning_rate": 8.362769978508267e-09, + "loss": 0.862, + "step": 11667 + }, + { + "epoch": 0.99, + "learning_rate": 8.250910103972942e-09, + "loss": 0.7889, + "step": 11668 + }, + { + "epoch": 0.99, + "learning_rate": 8.139803081540499e-09, + "loss": 0.843, + "step": 11669 + }, + { + "epoch": 0.99, + "learning_rate": 8.029448919584237e-09, + "loss": 0.8592, + "step": 11670 + }, + { + "epoch": 0.99, + "learning_rate": 7.91984762641751e-09, + "loss": 0.8767, + "step": 11671 + }, + { + "epoch": 0.99, + "learning_rate": 7.810999210299263e-09, + "loss": 0.9286, + "step": 11672 + }, + { + "epoch": 0.99, + "learning_rate": 7.702903679430718e-09, + "loss": 0.8425, + "step": 11673 + }, + { + "epoch": 0.99, + "learning_rate": 7.595561041956468e-09, + "loss": 0.891, + "step": 11674 + }, + { + "epoch": 0.99, + "learning_rate": 7.488971305965598e-09, + "loss": 0.8479, + "step": 11675 + }, + { + "epoch": 0.99, + "learning_rate": 7.3831344794872415e-09, + "loss": 0.8612, + "step": 11676 + }, + { + "epoch": 0.99, + "learning_rate": 7.2780505704983515e-09, + "loss": 0.8715, + "step": 11677 + }, + { + "epoch": 0.99, + "learning_rate": 7.173719586914818e-09, + "loss": 0.8896, + "step": 11678 + }, + { + "epoch": 0.99, + "learning_rate": 7.07014153659813e-09, + "loss": 0.495, + "step": 11679 + }, + { + "epoch": 0.99, + "learning_rate": 6.967316427353154e-09, + "loss": 0.843, + "step": 11680 + }, + { + "epoch": 0.99, + "learning_rate": 6.8652442669281394e-09, + "loss": 0.8453, + "step": 11681 + }, + { + "epoch": 0.99, + "learning_rate": 6.7639250630113785e-09, + "loss": 0.8766, + "step": 11682 + }, + { + "epoch": 0.99, + "learning_rate": 6.663358823240096e-09, + "loss": 0.8644, + "step": 11683 + }, + { + "epoch": 0.99, + "learning_rate": 6.563545555189343e-09, + "loss": 0.8534, + "step": 11684 + }, + { + "epoch": 0.99, + "learning_rate": 6.464485266380882e-09, + "loss": 0.8407, + "step": 11685 + }, + { + "epoch": 0.99, + "learning_rate": 6.3661779642787415e-09, + "loss": 0.8624, + "step": 11686 + }, + { + "epoch": 0.99, + "learning_rate": 6.2686236562903294e-09, + "loss": 0.9097, + "step": 11687 + }, + { + "epoch": 0.99, + "learning_rate": 6.171822349765322e-09, + "loss": 0.8406, + "step": 11688 + }, + { + "epoch": 0.99, + "learning_rate": 6.0757740519978844e-09, + "loss": 0.857, + "step": 11689 + }, + { + "epoch": 0.99, + "learning_rate": 5.980478770224452e-09, + "loss": 0.8625, + "step": 11690 + }, + { + "epoch": 0.99, + "learning_rate": 5.885936511625945e-09, + "loss": 0.8675, + "step": 11691 + }, + { + "epoch": 0.99, + "learning_rate": 5.7921472833255556e-09, + "loss": 0.8321, + "step": 11692 + }, + { + "epoch": 0.99, + "learning_rate": 5.699111092389853e-09, + "loss": 0.8174, + "step": 11693 + }, + { + "epoch": 0.99, + "learning_rate": 5.6068279458298954e-09, + "loss": 0.8583, + "step": 11694 + }, + { + "epoch": 0.99, + "learning_rate": 5.5152978505979e-09, + "loss": 0.8295, + "step": 11695 + }, + { + "epoch": 0.99, + "learning_rate": 5.4245208135905725e-09, + "loss": 0.5239, + "step": 11696 + }, + { + "epoch": 0.99, + "learning_rate": 5.334496841647996e-09, + "loss": 0.8428, + "step": 11697 + }, + { + "epoch": 0.99, + "learning_rate": 5.245225941552523e-09, + "loss": 0.7988, + "step": 11698 + }, + { + "epoch": 0.99, + "learning_rate": 5.156708120032106e-09, + "loss": 0.8401, + "step": 11699 + }, + { + "epoch": 0.99, + "learning_rate": 5.0689433837547434e-09, + "loss": 0.8703, + "step": 11700 + }, + { + "epoch": 0.99, + "learning_rate": 4.981931739334034e-09, + "loss": 0.8311, + "step": 11701 + }, + { + "epoch": 0.99, + "learning_rate": 4.895673193325845e-09, + "loss": 0.826, + "step": 11702 + }, + { + "epoch": 0.99, + "learning_rate": 4.8101677522305325e-09, + "loss": 0.8837, + "step": 11703 + }, + { + "epoch": 0.99, + "learning_rate": 4.7254154224885e-09, + "loss": 0.8563, + "step": 11704 + }, + { + "epoch": 0.99, + "learning_rate": 4.64141621048797e-09, + "loss": 0.8404, + "step": 11705 + }, + { + "epoch": 0.99, + "learning_rate": 4.558170122556105e-09, + "loss": 0.8198, + "step": 11706 + }, + { + "epoch": 0.99, + "learning_rate": 4.475677164966774e-09, + "loss": 0.8492, + "step": 11707 + }, + { + "epoch": 0.99, + "learning_rate": 4.393937343933896e-09, + "loss": 0.8615, + "step": 11708 + }, + { + "epoch": 0.99, + "learning_rate": 4.312950665618098e-09, + "loss": 0.8327, + "step": 11709 + }, + { + "epoch": 0.99, + "learning_rate": 4.232717136121167e-09, + "loss": 0.8942, + "step": 11710 + }, + { + "epoch": 0.99, + "learning_rate": 4.153236761488266e-09, + "loss": 0.8233, + "step": 11711 + }, + { + "epoch": 0.99, + "learning_rate": 4.074509547707939e-09, + "loss": 0.7938, + "step": 11712 + }, + { + "epoch": 0.99, + "learning_rate": 3.996535500712107e-09, + "loss": 0.8252, + "step": 11713 + }, + { + "epoch": 0.99, + "learning_rate": 3.9193146263749595e-09, + "loss": 0.8371, + "step": 11714 + }, + { + "epoch": 0.99, + "learning_rate": 3.842846930517397e-09, + "loss": 0.8444, + "step": 11715 + }, + { + "epoch": 0.99, + "learning_rate": 3.767132418898145e-09, + "loss": 0.8263, + "step": 11716 + }, + { + "epoch": 0.99, + "learning_rate": 3.692171097223751e-09, + "loss": 0.8615, + "step": 11717 + }, + { + "epoch": 0.99, + "learning_rate": 3.6179629711419195e-09, + "loss": 0.8102, + "step": 11718 + }, + { + "epoch": 0.99, + "learning_rate": 3.544508046244843e-09, + "loss": 0.8734, + "step": 11719 + }, + { + "epoch": 0.99, + "learning_rate": 3.471806328065874e-09, + "loss": 0.8175, + "step": 11720 + }, + { + "epoch": 0.99, + "learning_rate": 3.399857822083963e-09, + "loss": 0.8747, + "step": 11721 + }, + { + "epoch": 0.99, + "learning_rate": 3.328662533719218e-09, + "loss": 0.8579, + "step": 11722 + }, + { + "epoch": 0.99, + "learning_rate": 3.2582204683362372e-09, + "loss": 0.879, + "step": 11723 + }, + { + "epoch": 0.99, + "learning_rate": 3.1885316312441073e-09, + "loss": 0.8448, + "step": 11724 + }, + { + "epoch": 0.99, + "learning_rate": 3.1195960276919624e-09, + "loss": 0.8503, + "step": 11725 + }, + { + "epoch": 0.99, + "learning_rate": 3.0514136628745363e-09, + "loss": 0.8224, + "step": 11726 + }, + { + "epoch": 0.99, + "learning_rate": 2.9839845419288303e-09, + "loss": 0.8095, + "step": 11727 + }, + { + "epoch": 0.99, + "learning_rate": 2.9173086699363363e-09, + "loss": 0.8627, + "step": 11728 + }, + { + "epoch": 0.99, + "learning_rate": 2.851386051919702e-09, + "loss": 0.8182, + "step": 11729 + }, + { + "epoch": 0.99, + "learning_rate": 2.7862166928471766e-09, + "loss": 0.8447, + "step": 11730 + }, + { + "epoch": 0.99, + "learning_rate": 2.721800597629276e-09, + "loss": 0.8516, + "step": 11731 + }, + { + "epoch": 0.99, + "learning_rate": 2.6581377711176747e-09, + "loss": 0.8692, + "step": 11732 + }, + { + "epoch": 0.99, + "learning_rate": 2.595228218110757e-09, + "loss": 0.8481, + "step": 11733 + }, + { + "epoch": 0.99, + "learning_rate": 2.5330719433491747e-09, + "loss": 0.8446, + "step": 11734 + }, + { + "epoch": 0.99, + "learning_rate": 2.4716689515147386e-09, + "loss": 0.8571, + "step": 11735 + }, + { + "epoch": 0.99, + "learning_rate": 2.411019247234858e-09, + "loss": 0.835, + "step": 11736 + }, + { + "epoch": 0.99, + "learning_rate": 2.351122835078101e-09, + "loss": 0.5181, + "step": 11737 + }, + { + "epoch": 0.99, + "learning_rate": 2.291979719559745e-09, + "loss": 0.8246, + "step": 11738 + }, + { + "epoch": 0.99, + "learning_rate": 2.233589905134004e-09, + "loss": 0.8195, + "step": 11739 + }, + { + "epoch": 0.99, + "learning_rate": 2.175953396201802e-09, + "loss": 0.8523, + "step": 11740 + }, + { + "epoch": 1.0, + "learning_rate": 2.1190701971052218e-09, + "loss": 0.8605, + "step": 11741 + }, + { + "epoch": 1.0, + "learning_rate": 2.0629403121297244e-09, + "loss": 0.799, + "step": 11742 + }, + { + "epoch": 1.0, + "learning_rate": 2.007563745505259e-09, + "loss": 0.8626, + "step": 11743 + }, + { + "epoch": 1.0, + "learning_rate": 1.952940501405154e-09, + "loss": 0.7764, + "step": 11744 + }, + { + "epoch": 1.0, + "learning_rate": 1.899070583943896e-09, + "loss": 0.548, + "step": 11745 + }, + { + "epoch": 1.0, + "learning_rate": 1.8459539971804608e-09, + "loss": 0.8884, + "step": 11746 + }, + { + "epoch": 1.0, + "learning_rate": 1.7935907451172019e-09, + "loss": 0.8913, + "step": 11747 + }, + { + "epoch": 1.0, + "learning_rate": 1.741980831699852e-09, + "loss": 0.9177, + "step": 11748 + }, + { + "epoch": 1.0, + "learning_rate": 1.6911242608164124e-09, + "loss": 0.8186, + "step": 11749 + }, + { + "epoch": 1.0, + "learning_rate": 1.6410210362993729e-09, + "loss": 0.8555, + "step": 11750 + }, + { + "epoch": 1.0, + "learning_rate": 1.5916711619246017e-09, + "loss": 0.8615, + "step": 11751 + }, + { + "epoch": 1.0, + "learning_rate": 1.5430746414091259e-09, + "loss": 0.796, + "step": 11752 + }, + { + "epoch": 1.0, + "learning_rate": 1.4952314784144606e-09, + "loss": 0.8581, + "step": 11753 + }, + { + "epoch": 1.0, + "learning_rate": 1.4481416765466104e-09, + "loss": 0.8529, + "step": 11754 + }, + { + "epoch": 1.0, + "learning_rate": 1.4018052393538483e-09, + "loss": 0.8725, + "step": 11755 + }, + { + "epoch": 1.0, + "learning_rate": 1.3562221703267153e-09, + "loss": 0.8697, + "step": 11756 + }, + { + "epoch": 1.0, + "learning_rate": 1.3113924728991311e-09, + "loss": 0.8635, + "step": 11757 + }, + { + "epoch": 1.0, + "learning_rate": 1.2673161504495046e-09, + "loss": 0.7897, + "step": 11758 + }, + { + "epoch": 1.0, + "learning_rate": 1.2239932062996229e-09, + "loss": 0.8308, + "step": 11759 + }, + { + "epoch": 1.0, + "learning_rate": 1.1814236437135419e-09, + "loss": 0.7629, + "step": 11760 + }, + { + "epoch": 1.0, + "learning_rate": 1.1396074658975854e-09, + "loss": 0.8646, + "step": 11761 + }, + { + "epoch": 1.0, + "learning_rate": 1.0985446760036766e-09, + "loss": 0.8261, + "step": 11762 + }, + { + "epoch": 1.0, + "learning_rate": 1.0582352771260074e-09, + "loss": 0.8009, + "step": 11763 + }, + { + "epoch": 1.0, + "learning_rate": 1.0186792722999272e-09, + "loss": 0.8683, + "step": 11764 + }, + { + "epoch": 1.0, + "learning_rate": 9.798766645074953e-10, + "loss": 0.8721, + "step": 11765 + }, + { + "epoch": 1.0, + "learning_rate": 9.418274566719289e-10, + "loss": 0.5244, + "step": 11766 + }, + { + "epoch": 1.0, + "learning_rate": 9.045316516609337e-10, + "loss": 0.8628, + "step": 11767 + }, + { + "epoch": 1.0, + "learning_rate": 8.679892522833744e-10, + "loss": 0.862, + "step": 11768 + }, + { + "epoch": 1.0, + "learning_rate": 8.322002612937141e-10, + "loss": 0.8481, + "step": 11769 + }, + { + "epoch": 1.0, + "learning_rate": 7.971646813875744e-10, + "loss": 0.5243, + "step": 11770 + }, + { + "epoch": 1.0, + "learning_rate": 7.628825152050656e-10, + "loss": 0.8639, + "step": 11771 + }, + { + "epoch": 1.0, + "learning_rate": 7.293537653296768e-10, + "loss": 0.8705, + "step": 11772 + }, + { + "epoch": 1.0, + "learning_rate": 6.965784342871651e-10, + "loss": 0.829, + "step": 11773 + }, + { + "epoch": 1.0, + "learning_rate": 6.64556524547777e-10, + "loss": 0.7877, + "step": 11774 + }, + { + "epoch": 1.0, + "learning_rate": 6.332880385240269e-10, + "loss": 0.4558, + "step": 11775 + }, + { + "epoch": 1.0, + "learning_rate": 6.027729785718084e-10, + "loss": 0.8594, + "step": 11776 + }, + { + "epoch": 1.0, + "learning_rate": 5.730113469903931e-10, + "loss": 0.8567, + "step": 11777 + }, + { + "epoch": 1.0, + "learning_rate": 5.440031460213213e-10, + "loss": 0.8276, + "step": 11778 + }, + { + "epoch": 1.0, + "learning_rate": 5.157483778517325e-10, + "loss": 0.8089, + "step": 11779 + }, + { + "epoch": 1.0, + "learning_rate": 4.882470446099241e-10, + "loss": 0.8722, + "step": 11780 + }, + { + "epoch": 1.0, + "learning_rate": 4.614991483686826e-10, + "loss": 0.4883, + "step": 11781 + }, + { + "epoch": 1.0, + "learning_rate": 4.3550469114195246e-10, + "loss": 0.8066, + "step": 11782 + }, + { + "epoch": 1.0, + "learning_rate": 4.1026367488927745e-10, + "loss": 0.8706, + "step": 11783 + }, + { + "epoch": 1.0, + "learning_rate": 3.857761015124695e-10, + "loss": 0.8328, + "step": 11784 + }, + { + "epoch": 1.0, + "learning_rate": 3.620419728567193e-10, + "loss": 0.8462, + "step": 11785 + }, + { + "epoch": 1.0, + "learning_rate": 3.390612907094859e-10, + "loss": 0.8626, + "step": 11786 + }, + { + "epoch": 1.0, + "learning_rate": 3.168340568038275e-10, + "loss": 0.8498, + "step": 11787 + }, + { + "epoch": 1.0, + "learning_rate": 2.953602728128502e-10, + "loss": 0.8415, + "step": 11788 + }, + { + "epoch": 1.0, + "learning_rate": 2.746399403552591e-10, + "loss": 0.8683, + "step": 11789 + }, + { + "epoch": 1.0, + "learning_rate": 2.5467306099313806e-10, + "loss": 0.8349, + "step": 11790 + }, + { + "epoch": 1.0, + "learning_rate": 2.35459636229729e-10, + "loss": 0.8427, + "step": 11791 + }, + { + "epoch": 1.0, + "learning_rate": 2.1699966751387303e-10, + "loss": 0.8459, + "step": 11792 + }, + { + "epoch": 1.0, + "learning_rate": 1.992931562344591e-10, + "loss": 0.8061, + "step": 11793 + }, + { + "epoch": 1.0, + "learning_rate": 1.8234010372819576e-10, + "loss": 0.8596, + "step": 11794 + }, + { + "epoch": 1.0, + "learning_rate": 1.6614051127072929e-10, + "loss": 0.8369, + "step": 11795 + }, + { + "epoch": 1.0, + "learning_rate": 1.5069438008330494e-10, + "loss": 0.8767, + "step": 11796 + }, + { + "epoch": 1.0, + "learning_rate": 1.360017113283263e-10, + "loss": 0.8346, + "step": 11797 + }, + { + "epoch": 1.0, + "learning_rate": 1.2206250611490612e-10, + "loss": 0.5977, + "step": 11798 + }, + { + "epoch": 1.0, + "learning_rate": 1.0887676549331539e-10, + "loss": 0.8623, + "step": 11799 + }, + { + "epoch": 1.0, + "step": 11799, + "total_flos": 8303741185359872.0, + "train_loss": 0.9039537689702795, + "train_runtime": 128891.5857, + "train_samples_per_second": 11.717, + "train_steps_per_second": 0.092 + } + ], + "logging_steps": 1.0, + "max_steps": 11799, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 50000, + "total_flos": 8303741185359872.0, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}