diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,9388 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.0, + "eval_steps": 500, + "global_step": 3120, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.564102564102564e-07, + "loss": 1.153, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 5.128205128205128e-07, + "loss": 1.0848, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 7.692307692307694e-07, + "loss": 1.0058, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 1.0256410256410257e-06, + "loss": 0.9626, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 1.282051282051282e-06, + "loss": 0.9113, + "step": 10 + }, + { + "epoch": 0.02, + "learning_rate": 1.5384615384615387e-06, + "loss": 0.87, + "step": 12 + }, + { + "epoch": 0.02, + "learning_rate": 1.794871794871795e-06, + "loss": 0.9152, + "step": 14 + }, + { + "epoch": 0.02, + "learning_rate": 2.0512820512820513e-06, + "loss": 0.8951, + "step": 16 + }, + { + "epoch": 0.02, + "learning_rate": 2.307692307692308e-06, + "loss": 0.8945, + "step": 18 + }, + { + "epoch": 0.03, + "learning_rate": 2.564102564102564e-06, + "loss": 0.8762, + "step": 20 + }, + { + "epoch": 0.03, + "learning_rate": 2.8205128205128207e-06, + "loss": 0.8699, + "step": 22 + }, + { + "epoch": 0.03, + "learning_rate": 3.0769230769230774e-06, + "loss": 0.8808, + "step": 24 + }, + { + "epoch": 0.03, + "learning_rate": 3.3333333333333333e-06, + "loss": 0.9051, + "step": 26 + }, + { + "epoch": 0.04, + "learning_rate": 3.58974358974359e-06, + "loss": 0.8512, + "step": 28 + }, + { + "epoch": 0.04, + "learning_rate": 3.846153846153847e-06, + "loss": 0.8972, + "step": 30 + }, + { + "epoch": 0.04, + "learning_rate": 4.102564102564103e-06, + "loss": 0.8724, + "step": 32 + }, + { + "epoch": 0.04, + "learning_rate": 4.358974358974359e-06, + "loss": 0.8813, + "step": 34 + }, + { + "epoch": 0.05, + "learning_rate": 4.615384615384616e-06, + "loss": 0.9005, + "step": 36 + }, + { + "epoch": 0.05, + "learning_rate": 4.871794871794872e-06, + "loss": 0.8754, + "step": 38 + }, + { + "epoch": 0.05, + "learning_rate": 5.128205128205128e-06, + "loss": 0.9101, + "step": 40 + }, + { + "epoch": 0.05, + "learning_rate": 5.384615384615385e-06, + "loss": 0.9124, + "step": 42 + }, + { + "epoch": 0.06, + "learning_rate": 5.641025641025641e-06, + "loss": 0.9446, + "step": 44 + }, + { + "epoch": 0.06, + "learning_rate": 5.897435897435898e-06, + "loss": 0.918, + "step": 46 + }, + { + "epoch": 0.06, + "learning_rate": 6.153846153846155e-06, + "loss": 0.8927, + "step": 48 + }, + { + "epoch": 0.06, + "learning_rate": 6.410256410256412e-06, + "loss": 0.8798, + "step": 50 + }, + { + "epoch": 0.07, + "learning_rate": 6.666666666666667e-06, + "loss": 0.9412, + "step": 52 + }, + { + "epoch": 0.07, + "learning_rate": 6.923076923076923e-06, + "loss": 0.8864, + "step": 54 + }, + { + "epoch": 0.07, + "learning_rate": 7.17948717948718e-06, + "loss": 0.9589, + "step": 56 + }, + { + "epoch": 0.07, + "learning_rate": 7.435897435897437e-06, + "loss": 0.8901, + "step": 58 + }, + { + "epoch": 0.08, + "learning_rate": 7.692307692307694e-06, + "loss": 0.9314, + "step": 60 + }, + { + "epoch": 0.08, + "learning_rate": 7.948717948717949e-06, + "loss": 0.9623, + "step": 62 + }, + { + "epoch": 0.08, + "learning_rate": 8.205128205128205e-06, + "loss": 0.9221, + "step": 64 + }, + { + "epoch": 0.08, + "learning_rate": 8.461538461538462e-06, + "loss": 0.9284, + "step": 66 + }, + { + "epoch": 0.09, + "learning_rate": 8.717948717948719e-06, + "loss": 0.9762, + "step": 68 + }, + { + "epoch": 0.09, + "learning_rate": 8.974358974358976e-06, + "loss": 0.9132, + "step": 70 + }, + { + "epoch": 0.09, + "learning_rate": 9.230769230769232e-06, + "loss": 0.9044, + "step": 72 + }, + { + "epoch": 0.09, + "learning_rate": 9.487179487179487e-06, + "loss": 0.9738, + "step": 74 + }, + { + "epoch": 0.1, + "learning_rate": 9.743589743589744e-06, + "loss": 0.9718, + "step": 76 + }, + { + "epoch": 0.1, + "learning_rate": 1e-05, + "loss": 0.9838, + "step": 78 + }, + { + "epoch": 0.1, + "learning_rate": 1.0256410256410256e-05, + "loss": 0.9725, + "step": 80 + }, + { + "epoch": 0.11, + "learning_rate": 1.0512820512820514e-05, + "loss": 0.9578, + "step": 82 + }, + { + "epoch": 0.11, + "learning_rate": 1.076923076923077e-05, + "loss": 0.9779, + "step": 84 + }, + { + "epoch": 0.11, + "learning_rate": 1.1025641025641028e-05, + "loss": 0.9377, + "step": 86 + }, + { + "epoch": 0.11, + "learning_rate": 1.1282051282051283e-05, + "loss": 0.9781, + "step": 88 + }, + { + "epoch": 0.12, + "learning_rate": 1.1538461538461538e-05, + "loss": 0.9616, + "step": 90 + }, + { + "epoch": 0.12, + "learning_rate": 1.1794871794871796e-05, + "loss": 0.9874, + "step": 92 + }, + { + "epoch": 0.12, + "learning_rate": 1.2051282051282051e-05, + "loss": 0.9791, + "step": 94 + }, + { + "epoch": 0.12, + "learning_rate": 1.230769230769231e-05, + "loss": 0.994, + "step": 96 + }, + { + "epoch": 0.13, + "learning_rate": 1.2564102564102565e-05, + "loss": 0.9929, + "step": 98 + }, + { + "epoch": 0.13, + "learning_rate": 1.2820512820512823e-05, + "loss": 1.0049, + "step": 100 + }, + { + "epoch": 0.13, + "learning_rate": 1.3076923076923078e-05, + "loss": 0.9933, + "step": 102 + }, + { + "epoch": 0.13, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.0206, + "step": 104 + }, + { + "epoch": 0.14, + "learning_rate": 1.3589743589743592e-05, + "loss": 1.0226, + "step": 106 + }, + { + "epoch": 0.14, + "learning_rate": 1.3846153846153847e-05, + "loss": 0.9692, + "step": 108 + }, + { + "epoch": 0.14, + "learning_rate": 1.4102564102564105e-05, + "loss": 1.0258, + "step": 110 + }, + { + "epoch": 0.14, + "learning_rate": 1.435897435897436e-05, + "loss": 0.9944, + "step": 112 + }, + { + "epoch": 0.15, + "learning_rate": 1.4615384615384615e-05, + "loss": 0.9905, + "step": 114 + }, + { + "epoch": 0.15, + "learning_rate": 1.4871794871794874e-05, + "loss": 1.0415, + "step": 116 + }, + { + "epoch": 0.15, + "learning_rate": 1.5128205128205129e-05, + "loss": 0.9845, + "step": 118 + }, + { + "epoch": 0.15, + "learning_rate": 1.5384615384615387e-05, + "loss": 1.0322, + "step": 120 + }, + { + "epoch": 0.16, + "learning_rate": 1.5641025641025644e-05, + "loss": 1.0112, + "step": 122 + }, + { + "epoch": 0.16, + "learning_rate": 1.5897435897435897e-05, + "loss": 1.0107, + "step": 124 + }, + { + "epoch": 0.16, + "learning_rate": 1.6153846153846154e-05, + "loss": 0.9721, + "step": 126 + }, + { + "epoch": 0.16, + "learning_rate": 1.641025641025641e-05, + "loss": 0.9967, + "step": 128 + }, + { + "epoch": 0.17, + "learning_rate": 1.6666666666666667e-05, + "loss": 1.0599, + "step": 130 + }, + { + "epoch": 0.17, + "learning_rate": 1.6923076923076924e-05, + "loss": 0.9962, + "step": 132 + }, + { + "epoch": 0.17, + "learning_rate": 1.717948717948718e-05, + "loss": 1.0334, + "step": 134 + }, + { + "epoch": 0.17, + "learning_rate": 1.7435897435897438e-05, + "loss": 1.0493, + "step": 136 + }, + { + "epoch": 0.18, + "learning_rate": 1.7692307692307694e-05, + "loss": 1.0102, + "step": 138 + }, + { + "epoch": 0.18, + "learning_rate": 1.794871794871795e-05, + "loss": 1.0721, + "step": 140 + }, + { + "epoch": 0.18, + "learning_rate": 1.8205128205128208e-05, + "loss": 0.9963, + "step": 142 + }, + { + "epoch": 0.18, + "learning_rate": 1.8461538461538465e-05, + "loss": 1.0204, + "step": 144 + }, + { + "epoch": 0.19, + "learning_rate": 1.8717948717948718e-05, + "loss": 1.0109, + "step": 146 + }, + { + "epoch": 0.19, + "learning_rate": 1.8974358974358975e-05, + "loss": 1.0429, + "step": 148 + }, + { + "epoch": 0.19, + "learning_rate": 1.923076923076923e-05, + "loss": 1.0544, + "step": 150 + }, + { + "epoch": 0.19, + "learning_rate": 1.9487179487179488e-05, + "loss": 1.0515, + "step": 152 + }, + { + "epoch": 0.2, + "learning_rate": 1.9743589743589745e-05, + "loss": 1.0876, + "step": 154 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 1.0579, + "step": 156 + }, + { + "epoch": 0.2, + "learning_rate": 1.9999977531546567e-05, + "loss": 1.0929, + "step": 158 + }, + { + "epoch": 0.21, + "learning_rate": 1.999991012628722e-05, + "loss": 1.1048, + "step": 160 + }, + { + "epoch": 0.21, + "learning_rate": 1.9999797784524866e-05, + "loss": 1.063, + "step": 162 + }, + { + "epoch": 0.21, + "learning_rate": 1.999964050676434e-05, + "loss": 1.0594, + "step": 164 + }, + { + "epoch": 0.21, + "learning_rate": 1.9999438293712382e-05, + "loss": 1.0332, + "step": 166 + }, + { + "epoch": 0.22, + "learning_rate": 1.999919114627769e-05, + "loss": 1.0667, + "step": 168 + }, + { + "epoch": 0.22, + "learning_rate": 1.999889906557086e-05, + "loss": 1.0598, + "step": 170 + }, + { + "epoch": 0.22, + "learning_rate": 1.999856205290442e-05, + "loss": 1.0371, + "step": 172 + }, + { + "epoch": 0.22, + "learning_rate": 1.9998180109792793e-05, + "loss": 1.0385, + "step": 174 + }, + { + "epoch": 0.23, + "learning_rate": 1.999775323795232e-05, + "loss": 1.0782, + "step": 176 + }, + { + "epoch": 0.23, + "learning_rate": 1.9997281439301218e-05, + "loss": 1.0578, + "step": 178 + }, + { + "epoch": 0.23, + "learning_rate": 1.999676471595962e-05, + "loss": 1.0543, + "step": 180 + }, + { + "epoch": 0.23, + "learning_rate": 1.9996203070249516e-05, + "loss": 1.0499, + "step": 182 + }, + { + "epoch": 0.24, + "learning_rate": 1.9995596504694764e-05, + "loss": 1.0398, + "step": 184 + }, + { + "epoch": 0.24, + "learning_rate": 1.9994945022021085e-05, + "loss": 1.041, + "step": 186 + }, + { + "epoch": 0.24, + "learning_rate": 1.999424862515604e-05, + "loss": 1.0063, + "step": 188 + }, + { + "epoch": 0.24, + "learning_rate": 1.999350731722902e-05, + "loss": 1.0446, + "step": 190 + }, + { + "epoch": 0.25, + "learning_rate": 1.9992721101571238e-05, + "loss": 1.0901, + "step": 192 + }, + { + "epoch": 0.25, + "learning_rate": 1.9991889981715696e-05, + "loss": 1.0695, + "step": 194 + }, + { + "epoch": 0.25, + "learning_rate": 1.99910139613972e-05, + "loss": 0.993, + "step": 196 + }, + { + "epoch": 0.25, + "learning_rate": 1.9990093044552304e-05, + "loss": 1.0332, + "step": 198 + }, + { + "epoch": 0.26, + "learning_rate": 1.998912723531933e-05, + "loss": 1.0452, + "step": 200 + }, + { + "epoch": 0.26, + "learning_rate": 1.9988116538038326e-05, + "loss": 1.0354, + "step": 202 + }, + { + "epoch": 0.26, + "learning_rate": 1.9987060957251047e-05, + "loss": 1.1051, + "step": 204 + }, + { + "epoch": 0.26, + "learning_rate": 1.9985960497700953e-05, + "loss": 1.0247, + "step": 206 + }, + { + "epoch": 0.27, + "learning_rate": 1.9984815164333163e-05, + "loss": 1.049, + "step": 208 + }, + { + "epoch": 0.27, + "learning_rate": 1.998362496229446e-05, + "loss": 1.084, + "step": 210 + }, + { + "epoch": 0.27, + "learning_rate": 1.998238989693323e-05, + "loss": 1.0296, + "step": 212 + }, + { + "epoch": 0.27, + "learning_rate": 1.998110997379949e-05, + "loss": 1.0731, + "step": 214 + }, + { + "epoch": 0.28, + "learning_rate": 1.997978519864481e-05, + "loss": 1.051, + "step": 216 + }, + { + "epoch": 0.28, + "learning_rate": 1.997841557742232e-05, + "loss": 1.0049, + "step": 218 + }, + { + "epoch": 0.28, + "learning_rate": 1.9977001116286675e-05, + "loss": 1.0536, + "step": 220 + }, + { + "epoch": 0.28, + "learning_rate": 1.9975541821594028e-05, + "loss": 1.0438, + "step": 222 + }, + { + "epoch": 0.29, + "learning_rate": 1.9974037699901993e-05, + "loss": 1.0396, + "step": 224 + }, + { + "epoch": 0.29, + "learning_rate": 1.9972488757969635e-05, + "loss": 1.0609, + "step": 226 + }, + { + "epoch": 0.29, + "learning_rate": 1.9970895002757413e-05, + "loss": 0.995, + "step": 228 + }, + { + "epoch": 0.29, + "learning_rate": 1.9969256441427173e-05, + "loss": 1.0334, + "step": 230 + }, + { + "epoch": 0.3, + "learning_rate": 1.9967573081342103e-05, + "loss": 1.0591, + "step": 232 + }, + { + "epoch": 0.3, + "learning_rate": 1.99658449300667e-05, + "loss": 1.0601, + "step": 234 + }, + { + "epoch": 0.3, + "learning_rate": 1.9964071995366744e-05, + "loss": 1.1103, + "step": 236 + }, + { + "epoch": 0.31, + "learning_rate": 1.9962254285209256e-05, + "loss": 1.0248, + "step": 238 + }, + { + "epoch": 0.31, + "learning_rate": 1.9960391807762462e-05, + "loss": 1.0353, + "step": 240 + }, + { + "epoch": 0.31, + "learning_rate": 1.9958484571395756e-05, + "loss": 1.0258, + "step": 242 + }, + { + "epoch": 0.31, + "learning_rate": 1.9956532584679676e-05, + "loss": 1.0278, + "step": 244 + }, + { + "epoch": 0.32, + "learning_rate": 1.995453585638584e-05, + "loss": 1.0839, + "step": 246 + }, + { + "epoch": 0.32, + "learning_rate": 1.995249439548693e-05, + "loss": 0.9785, + "step": 248 + }, + { + "epoch": 0.32, + "learning_rate": 1.9950408211156637e-05, + "loss": 1.0363, + "step": 250 + }, + { + "epoch": 0.32, + "learning_rate": 1.994827731276963e-05, + "loss": 1.0558, + "step": 252 + }, + { + "epoch": 0.33, + "learning_rate": 1.9946101709901513e-05, + "loss": 1.0088, + "step": 254 + }, + { + "epoch": 0.33, + "learning_rate": 1.994388141232876e-05, + "loss": 1.0482, + "step": 256 + }, + { + "epoch": 0.33, + "learning_rate": 1.9941616430028713e-05, + "loss": 1.0404, + "step": 258 + }, + { + "epoch": 0.33, + "learning_rate": 1.9939306773179498e-05, + "loss": 1.0761, + "step": 260 + }, + { + "epoch": 0.34, + "learning_rate": 1.9936952452159995e-05, + "loss": 1.0288, + "step": 262 + }, + { + "epoch": 0.34, + "learning_rate": 1.9934553477549795e-05, + "loss": 1.0902, + "step": 264 + }, + { + "epoch": 0.34, + "learning_rate": 1.9932109860129154e-05, + "loss": 1.0529, + "step": 266 + }, + { + "epoch": 0.34, + "learning_rate": 1.992962161087893e-05, + "loss": 1.0118, + "step": 268 + }, + { + "epoch": 0.35, + "learning_rate": 1.992708874098054e-05, + "loss": 1.0239, + "step": 270 + }, + { + "epoch": 0.35, + "learning_rate": 1.9924511261815928e-05, + "loss": 1.0184, + "step": 272 + }, + { + "epoch": 0.35, + "learning_rate": 1.992188918496748e-05, + "loss": 1.0117, + "step": 274 + }, + { + "epoch": 0.35, + "learning_rate": 1.9919222522217998e-05, + "loss": 1.0192, + "step": 276 + }, + { + "epoch": 0.36, + "learning_rate": 1.991651128555064e-05, + "loss": 1.0019, + "step": 278 + }, + { + "epoch": 0.36, + "learning_rate": 1.9913755487148874e-05, + "loss": 1.0181, + "step": 280 + }, + { + "epoch": 0.36, + "learning_rate": 1.9910955139396395e-05, + "loss": 1.02, + "step": 282 + }, + { + "epoch": 0.36, + "learning_rate": 1.9908110254877107e-05, + "loss": 1.0314, + "step": 284 + }, + { + "epoch": 0.37, + "learning_rate": 1.990522084637503e-05, + "loss": 1.0318, + "step": 286 + }, + { + "epoch": 0.37, + "learning_rate": 1.990228692687429e-05, + "loss": 0.9852, + "step": 288 + }, + { + "epoch": 0.37, + "learning_rate": 1.9899308509558998e-05, + "loss": 1.0348, + "step": 290 + }, + { + "epoch": 0.37, + "learning_rate": 1.9896285607813245e-05, + "loss": 1.0273, + "step": 292 + }, + { + "epoch": 0.38, + "learning_rate": 1.9893218235221016e-05, + "loss": 1.0033, + "step": 294 + }, + { + "epoch": 0.38, + "learning_rate": 1.989010640556614e-05, + "loss": 1.0633, + "step": 296 + }, + { + "epoch": 0.38, + "learning_rate": 1.988695013283221e-05, + "loss": 1.0679, + "step": 298 + }, + { + "epoch": 0.38, + "learning_rate": 1.988374943120254e-05, + "loss": 0.9936, + "step": 300 + }, + { + "epoch": 0.39, + "learning_rate": 1.9880504315060096e-05, + "loss": 1.0311, + "step": 302 + }, + { + "epoch": 0.39, + "learning_rate": 1.9877214798987428e-05, + "loss": 1.0168, + "step": 304 + }, + { + "epoch": 0.39, + "learning_rate": 1.9873880897766597e-05, + "loss": 1.0162, + "step": 306 + }, + { + "epoch": 0.39, + "learning_rate": 1.9870502626379127e-05, + "loss": 1.0188, + "step": 308 + }, + { + "epoch": 0.4, + "learning_rate": 1.9867080000005933e-05, + "loss": 0.968, + "step": 310 + }, + { + "epoch": 0.4, + "learning_rate": 1.9863613034027224e-05, + "loss": 1.0709, + "step": 312 + }, + { + "epoch": 0.4, + "learning_rate": 1.9860101744022485e-05, + "loss": 1.0015, + "step": 314 + }, + { + "epoch": 0.41, + "learning_rate": 1.985654614577036e-05, + "loss": 1.0152, + "step": 316 + }, + { + "epoch": 0.41, + "learning_rate": 1.985294625524861e-05, + "loss": 1.008, + "step": 318 + }, + { + "epoch": 0.41, + "learning_rate": 1.9849302088634034e-05, + "loss": 1.0249, + "step": 320 + }, + { + "epoch": 0.41, + "learning_rate": 1.9845613662302384e-05, + "loss": 1.0255, + "step": 322 + }, + { + "epoch": 0.42, + "learning_rate": 1.9841880992828306e-05, + "loss": 1.0112, + "step": 324 + }, + { + "epoch": 0.42, + "learning_rate": 1.9838104096985266e-05, + "loss": 1.1042, + "step": 326 + }, + { + "epoch": 0.42, + "learning_rate": 1.9834282991745465e-05, + "loss": 0.9916, + "step": 328 + }, + { + "epoch": 0.42, + "learning_rate": 1.9830417694279766e-05, + "loss": 1.0568, + "step": 330 + }, + { + "epoch": 0.43, + "learning_rate": 1.9826508221957624e-05, + "loss": 0.9906, + "step": 332 + }, + { + "epoch": 0.43, + "learning_rate": 1.9822554592346996e-05, + "loss": 1.0166, + "step": 334 + }, + { + "epoch": 0.43, + "learning_rate": 1.981855682321427e-05, + "loss": 1.0167, + "step": 336 + }, + { + "epoch": 0.43, + "learning_rate": 1.981451493252418e-05, + "loss": 1.0531, + "step": 338 + }, + { + "epoch": 0.44, + "learning_rate": 1.981042893843974e-05, + "loss": 0.989, + "step": 340 + }, + { + "epoch": 0.44, + "learning_rate": 1.9806298859322143e-05, + "loss": 1.0199, + "step": 342 + }, + { + "epoch": 0.44, + "learning_rate": 1.980212471373068e-05, + "loss": 0.9728, + "step": 344 + }, + { + "epoch": 0.44, + "learning_rate": 1.979790652042268e-05, + "loss": 0.997, + "step": 346 + }, + { + "epoch": 0.45, + "learning_rate": 1.979364429835339e-05, + "loss": 0.9729, + "step": 348 + }, + { + "epoch": 0.45, + "learning_rate": 1.9789338066675924e-05, + "loss": 1.0042, + "step": 350 + }, + { + "epoch": 0.45, + "learning_rate": 1.978498784474115e-05, + "loss": 1.0274, + "step": 352 + }, + { + "epoch": 0.45, + "learning_rate": 1.978059365209762e-05, + "loss": 1.0348, + "step": 354 + }, + { + "epoch": 0.46, + "learning_rate": 1.9776155508491482e-05, + "loss": 0.9827, + "step": 356 + }, + { + "epoch": 0.46, + "learning_rate": 1.977167343386638e-05, + "loss": 1.0481, + "step": 358 + }, + { + "epoch": 0.46, + "learning_rate": 1.9767147448363366e-05, + "loss": 1.0609, + "step": 360 + }, + { + "epoch": 0.46, + "learning_rate": 1.9762577572320826e-05, + "loss": 0.9862, + "step": 362 + }, + { + "epoch": 0.47, + "learning_rate": 1.9757963826274357e-05, + "loss": 1.0423, + "step": 364 + }, + { + "epoch": 0.47, + "learning_rate": 1.975330623095672e-05, + "loss": 0.9966, + "step": 366 + }, + { + "epoch": 0.47, + "learning_rate": 1.97486048072977e-05, + "loss": 1.0406, + "step": 368 + }, + { + "epoch": 0.47, + "learning_rate": 1.9743859576424044e-05, + "loss": 0.9728, + "step": 370 + }, + { + "epoch": 0.48, + "learning_rate": 1.9739070559659347e-05, + "loss": 1.0276, + "step": 372 + }, + { + "epoch": 0.48, + "learning_rate": 1.9734237778523977e-05, + "loss": 1.0173, + "step": 374 + }, + { + "epoch": 0.48, + "learning_rate": 1.972936125473495e-05, + "loss": 1.0049, + "step": 376 + }, + { + "epoch": 0.48, + "learning_rate": 1.9724441010205865e-05, + "loss": 1.0092, + "step": 378 + }, + { + "epoch": 0.49, + "learning_rate": 1.9719477067046768e-05, + "loss": 1.0488, + "step": 380 + }, + { + "epoch": 0.49, + "learning_rate": 1.971446944756409e-05, + "loss": 1.0164, + "step": 382 + }, + { + "epoch": 0.49, + "learning_rate": 1.9709418174260523e-05, + "loss": 0.9694, + "step": 384 + }, + { + "epoch": 0.49, + "learning_rate": 1.9704323269834925e-05, + "loss": 0.9877, + "step": 386 + }, + { + "epoch": 0.5, + "learning_rate": 1.9699184757182225e-05, + "loss": 1.038, + "step": 388 + }, + { + "epoch": 0.5, + "learning_rate": 1.9694002659393306e-05, + "loss": 1.0039, + "step": 390 + }, + { + "epoch": 0.5, + "learning_rate": 1.9688776999754913e-05, + "loss": 0.9953, + "step": 392 + }, + { + "epoch": 0.51, + "learning_rate": 1.9683507801749547e-05, + "loss": 1.0098, + "step": 394 + }, + { + "epoch": 0.51, + "learning_rate": 1.9678195089055347e-05, + "loss": 0.9893, + "step": 396 + }, + { + "epoch": 0.51, + "learning_rate": 1.9672838885546007e-05, + "loss": 0.9521, + "step": 398 + }, + { + "epoch": 0.51, + "learning_rate": 1.966743921529065e-05, + "loss": 0.9806, + "step": 400 + }, + { + "epoch": 0.52, + "learning_rate": 1.9661996102553716e-05, + "loss": 1.0153, + "step": 402 + }, + { + "epoch": 0.52, + "learning_rate": 1.965650957179488e-05, + "loss": 1.0054, + "step": 404 + }, + { + "epoch": 0.52, + "learning_rate": 1.9650979647668908e-05, + "loss": 1.0026, + "step": 406 + }, + { + "epoch": 0.52, + "learning_rate": 1.9645406355025565e-05, + "loss": 1.005, + "step": 408 + }, + { + "epoch": 0.53, + "learning_rate": 1.963978971890951e-05, + "loss": 0.9792, + "step": 410 + }, + { + "epoch": 0.53, + "learning_rate": 1.963412976456017e-05, + "loss": 1.0335, + "step": 412 + }, + { + "epoch": 0.53, + "learning_rate": 1.9628426517411625e-05, + "loss": 1.0231, + "step": 414 + }, + { + "epoch": 0.53, + "learning_rate": 1.9622680003092503e-05, + "loss": 1.0409, + "step": 416 + }, + { + "epoch": 0.54, + "learning_rate": 1.9616890247425867e-05, + "loss": 0.9979, + "step": 418 + }, + { + "epoch": 0.54, + "learning_rate": 1.9611057276429085e-05, + "loss": 1.0009, + "step": 420 + }, + { + "epoch": 0.54, + "learning_rate": 1.9605181116313725e-05, + "loss": 0.9753, + "step": 422 + }, + { + "epoch": 0.54, + "learning_rate": 1.9599261793485432e-05, + "loss": 0.9813, + "step": 424 + }, + { + "epoch": 0.55, + "learning_rate": 1.959329933454381e-05, + "loss": 1.0204, + "step": 426 + }, + { + "epoch": 0.55, + "learning_rate": 1.958729376628231e-05, + "loss": 1.045, + "step": 428 + }, + { + "epoch": 0.55, + "learning_rate": 1.9581245115688093e-05, + "loss": 0.9576, + "step": 430 + }, + { + "epoch": 0.55, + "learning_rate": 1.957515340994193e-05, + "loss": 1.0385, + "step": 432 + }, + { + "epoch": 0.56, + "learning_rate": 1.9569018676418053e-05, + "loss": 0.9917, + "step": 434 + }, + { + "epoch": 0.56, + "learning_rate": 1.956284094268407e-05, + "loss": 1.0301, + "step": 436 + }, + { + "epoch": 0.56, + "learning_rate": 1.9556620236500794e-05, + "loss": 1.0141, + "step": 438 + }, + { + "epoch": 0.56, + "learning_rate": 1.955035658582216e-05, + "loss": 1.0256, + "step": 440 + }, + { + "epoch": 0.57, + "learning_rate": 1.9544050018795076e-05, + "loss": 1.0178, + "step": 442 + }, + { + "epoch": 0.57, + "learning_rate": 1.9537700563759303e-05, + "loss": 0.9886, + "step": 444 + }, + { + "epoch": 0.57, + "learning_rate": 1.9531308249247328e-05, + "loss": 1.0009, + "step": 446 + }, + { + "epoch": 0.57, + "learning_rate": 1.9524873103984234e-05, + "loss": 1.0224, + "step": 448 + }, + { + "epoch": 0.58, + "learning_rate": 1.9518395156887574e-05, + "loss": 0.983, + "step": 450 + }, + { + "epoch": 0.58, + "learning_rate": 1.9511874437067243e-05, + "loss": 1.022, + "step": 452 + }, + { + "epoch": 0.58, + "learning_rate": 1.950531097382533e-05, + "loss": 1.0, + "step": 454 + }, + { + "epoch": 0.58, + "learning_rate": 1.949870479665602e-05, + "loss": 1.0357, + "step": 456 + }, + { + "epoch": 0.59, + "learning_rate": 1.9492055935245418e-05, + "loss": 0.9761, + "step": 458 + }, + { + "epoch": 0.59, + "learning_rate": 1.9485364419471454e-05, + "loss": 1.0038, + "step": 460 + }, + { + "epoch": 0.59, + "learning_rate": 1.9478630279403737e-05, + "loss": 1.0139, + "step": 462 + }, + { + "epoch": 0.59, + "learning_rate": 1.9471853545303407e-05, + "loss": 0.9504, + "step": 464 + }, + { + "epoch": 0.6, + "learning_rate": 1.9465034247623005e-05, + "loss": 1.0035, + "step": 466 + }, + { + "epoch": 0.6, + "learning_rate": 1.9458172417006347e-05, + "loss": 1.0145, + "step": 468 + }, + { + "epoch": 0.6, + "learning_rate": 1.9451268084288385e-05, + "loss": 0.9738, + "step": 470 + }, + { + "epoch": 0.61, + "learning_rate": 1.9444321280495045e-05, + "loss": 0.9573, + "step": 472 + }, + { + "epoch": 0.61, + "learning_rate": 1.943733203684312e-05, + "loss": 0.9938, + "step": 474 + }, + { + "epoch": 0.61, + "learning_rate": 1.9430300384740108e-05, + "loss": 0.9887, + "step": 476 + }, + { + "epoch": 0.61, + "learning_rate": 1.942322635578408e-05, + "loss": 0.9877, + "step": 478 + }, + { + "epoch": 0.62, + "learning_rate": 1.9416109981763526e-05, + "loss": 0.9856, + "step": 480 + }, + { + "epoch": 0.62, + "learning_rate": 1.940895129465724e-05, + "loss": 1.0039, + "step": 482 + }, + { + "epoch": 0.62, + "learning_rate": 1.9401750326634144e-05, + "loss": 1.0454, + "step": 484 + }, + { + "epoch": 0.62, + "learning_rate": 1.939450711005316e-05, + "loss": 1.0293, + "step": 486 + }, + { + "epoch": 0.63, + "learning_rate": 1.9387221677463064e-05, + "loss": 1.0311, + "step": 488 + }, + { + "epoch": 0.63, + "learning_rate": 1.9379894061602335e-05, + "loss": 0.9813, + "step": 490 + }, + { + "epoch": 0.63, + "learning_rate": 1.9372524295399014e-05, + "loss": 0.9582, + "step": 492 + }, + { + "epoch": 0.63, + "learning_rate": 1.936511241197055e-05, + "loss": 1.016, + "step": 494 + }, + { + "epoch": 0.64, + "learning_rate": 1.9357658444623655e-05, + "loss": 0.9816, + "step": 496 + }, + { + "epoch": 0.64, + "learning_rate": 1.9350162426854152e-05, + "loss": 0.9778, + "step": 498 + }, + { + "epoch": 0.64, + "learning_rate": 1.9342624392346826e-05, + "loss": 1.0288, + "step": 500 + }, + { + "epoch": 0.64, + "learning_rate": 1.933504437497527e-05, + "loss": 1.0361, + "step": 502 + }, + { + "epoch": 0.65, + "learning_rate": 1.9327422408801744e-05, + "loss": 0.9652, + "step": 504 + }, + { + "epoch": 0.65, + "learning_rate": 1.9319758528076998e-05, + "loss": 1.0004, + "step": 506 + }, + { + "epoch": 0.65, + "learning_rate": 1.9312052767240153e-05, + "loss": 0.9903, + "step": 508 + }, + { + "epoch": 0.65, + "learning_rate": 1.93043051609185e-05, + "loss": 1.0056, + "step": 510 + }, + { + "epoch": 0.66, + "learning_rate": 1.92965157439274e-05, + "loss": 1.002, + "step": 512 + }, + { + "epoch": 0.66, + "learning_rate": 1.9288684551270072e-05, + "loss": 0.9903, + "step": 514 + }, + { + "epoch": 0.66, + "learning_rate": 1.9280811618137486e-05, + "loss": 1.0369, + "step": 516 + }, + { + "epoch": 0.66, + "learning_rate": 1.9272896979908153e-05, + "loss": 0.9782, + "step": 518 + }, + { + "epoch": 0.67, + "learning_rate": 1.9264940672148018e-05, + "loss": 0.9736, + "step": 520 + }, + { + "epoch": 0.67, + "learning_rate": 1.9256942730610268e-05, + "loss": 1.0189, + "step": 522 + }, + { + "epoch": 0.67, + "learning_rate": 1.9248903191235177e-05, + "loss": 0.9975, + "step": 524 + }, + { + "epoch": 0.67, + "learning_rate": 1.9240822090149944e-05, + "loss": 1.0273, + "step": 526 + }, + { + "epoch": 0.68, + "learning_rate": 1.9232699463668543e-05, + "loss": 1.0047, + "step": 528 + }, + { + "epoch": 0.68, + "learning_rate": 1.9224535348291543e-05, + "loss": 0.9929, + "step": 530 + }, + { + "epoch": 0.68, + "learning_rate": 1.9216329780705955e-05, + "loss": 1.0068, + "step": 532 + }, + { + "epoch": 0.68, + "learning_rate": 1.9208082797785057e-05, + "loss": 1.0018, + "step": 534 + }, + { + "epoch": 0.69, + "learning_rate": 1.9199794436588244e-05, + "loss": 0.9997, + "step": 536 + }, + { + "epoch": 0.69, + "learning_rate": 1.9191464734360844e-05, + "loss": 0.9969, + "step": 538 + }, + { + "epoch": 0.69, + "learning_rate": 1.9183093728533966e-05, + "loss": 0.9868, + "step": 540 + }, + { + "epoch": 0.69, + "learning_rate": 1.917468145672432e-05, + "loss": 0.9876, + "step": 542 + }, + { + "epoch": 0.7, + "learning_rate": 1.916622795673405e-05, + "loss": 0.9647, + "step": 544 + }, + { + "epoch": 0.7, + "learning_rate": 1.9157733266550577e-05, + "loss": 0.9968, + "step": 546 + }, + { + "epoch": 0.7, + "learning_rate": 1.9149197424346405e-05, + "loss": 0.9566, + "step": 548 + }, + { + "epoch": 0.71, + "learning_rate": 1.9140620468478967e-05, + "loss": 1.0137, + "step": 550 + }, + { + "epoch": 0.71, + "learning_rate": 1.913200243749046e-05, + "loss": 1.0246, + "step": 552 + }, + { + "epoch": 0.71, + "learning_rate": 1.9123343370107636e-05, + "loss": 0.9635, + "step": 554 + }, + { + "epoch": 0.71, + "learning_rate": 1.9114643305241678e-05, + "loss": 1.0191, + "step": 556 + }, + { + "epoch": 0.72, + "learning_rate": 1.910590228198798e-05, + "loss": 0.9818, + "step": 558 + }, + { + "epoch": 0.72, + "learning_rate": 1.9097120339625994e-05, + "loss": 0.981, + "step": 560 + }, + { + "epoch": 0.72, + "learning_rate": 1.9088297517619056e-05, + "loss": 0.95, + "step": 562 + }, + { + "epoch": 0.72, + "learning_rate": 1.9079433855614203e-05, + "loss": 0.9521, + "step": 564 + }, + { + "epoch": 0.73, + "learning_rate": 1.9070529393441985e-05, + "loss": 0.9817, + "step": 566 + }, + { + "epoch": 0.73, + "learning_rate": 1.9061584171116302e-05, + "loss": 0.9701, + "step": 568 + }, + { + "epoch": 0.73, + "learning_rate": 1.9052598228834217e-05, + "loss": 1.0093, + "step": 570 + }, + { + "epoch": 0.73, + "learning_rate": 1.9043571606975776e-05, + "loss": 0.9842, + "step": 572 + }, + { + "epoch": 0.74, + "learning_rate": 1.9034504346103825e-05, + "loss": 0.9396, + "step": 574 + }, + { + "epoch": 0.74, + "learning_rate": 1.9025396486963827e-05, + "loss": 0.9673, + "step": 576 + }, + { + "epoch": 0.74, + "learning_rate": 1.9016248070483686e-05, + "loss": 0.9469, + "step": 578 + }, + { + "epoch": 0.74, + "learning_rate": 1.900705913777356e-05, + "loss": 0.9759, + "step": 580 + }, + { + "epoch": 0.75, + "learning_rate": 1.8997829730125662e-05, + "loss": 0.9942, + "step": 582 + }, + { + "epoch": 0.75, + "learning_rate": 1.89885598890141e-05, + "loss": 0.948, + "step": 584 + }, + { + "epoch": 0.75, + "learning_rate": 1.8979249656094672e-05, + "loss": 0.9954, + "step": 586 + }, + { + "epoch": 0.75, + "learning_rate": 1.8969899073204687e-05, + "loss": 0.9547, + "step": 588 + }, + { + "epoch": 0.76, + "learning_rate": 1.896050818236277e-05, + "loss": 0.9652, + "step": 590 + }, + { + "epoch": 0.76, + "learning_rate": 1.895107702576868e-05, + "loss": 0.9418, + "step": 592 + }, + { + "epoch": 0.76, + "learning_rate": 1.8941605645803115e-05, + "loss": 0.9573, + "step": 594 + }, + { + "epoch": 0.76, + "learning_rate": 1.8932094085027534e-05, + "loss": 0.9951, + "step": 596 + }, + { + "epoch": 0.77, + "learning_rate": 1.8922542386183942e-05, + "loss": 0.992, + "step": 598 + }, + { + "epoch": 0.77, + "learning_rate": 1.891295059219472e-05, + "loss": 0.9909, + "step": 600 + }, + { + "epoch": 0.77, + "learning_rate": 1.8903318746162428e-05, + "loss": 0.9776, + "step": 602 + }, + { + "epoch": 0.77, + "learning_rate": 1.88936468913696e-05, + "loss": 0.9524, + "step": 604 + }, + { + "epoch": 0.78, + "learning_rate": 1.888393507127856e-05, + "loss": 0.9784, + "step": 606 + }, + { + "epoch": 0.78, + "learning_rate": 1.8874183329531222e-05, + "loss": 0.9445, + "step": 608 + }, + { + "epoch": 0.78, + "learning_rate": 1.88643917099489e-05, + "loss": 0.9838, + "step": 610 + }, + { + "epoch": 0.78, + "learning_rate": 1.8854560256532098e-05, + "loss": 0.9846, + "step": 612 + }, + { + "epoch": 0.79, + "learning_rate": 1.8844689013460335e-05, + "loss": 0.9751, + "step": 614 + }, + { + "epoch": 0.79, + "learning_rate": 1.883477802509192e-05, + "loss": 0.9735, + "step": 616 + }, + { + "epoch": 0.79, + "learning_rate": 1.8824827335963767e-05, + "loss": 0.9763, + "step": 618 + }, + { + "epoch": 0.79, + "learning_rate": 1.88148369907912e-05, + "loss": 0.9518, + "step": 620 + }, + { + "epoch": 0.8, + "learning_rate": 1.8804807034467735e-05, + "loss": 0.9663, + "step": 622 + }, + { + "epoch": 0.8, + "learning_rate": 1.879473751206489e-05, + "loss": 1.02, + "step": 624 + }, + { + "epoch": 0.8, + "learning_rate": 1.8784628468831997e-05, + "loss": 0.976, + "step": 626 + }, + { + "epoch": 0.81, + "learning_rate": 1.877447995019596e-05, + "loss": 0.9871, + "step": 628 + }, + { + "epoch": 0.81, + "learning_rate": 1.876429200176108e-05, + "loss": 0.9734, + "step": 630 + }, + { + "epoch": 0.81, + "learning_rate": 1.875406466930886e-05, + "loss": 0.9715, + "step": 632 + }, + { + "epoch": 0.81, + "learning_rate": 1.874379799879775e-05, + "loss": 0.951, + "step": 634 + }, + { + "epoch": 0.82, + "learning_rate": 1.8733492036363007e-05, + "loss": 0.965, + "step": 636 + }, + { + "epoch": 0.82, + "learning_rate": 1.872314682831643e-05, + "loss": 1.0045, + "step": 638 + }, + { + "epoch": 0.82, + "learning_rate": 1.8712762421146185e-05, + "loss": 1.0237, + "step": 640 + }, + { + "epoch": 0.82, + "learning_rate": 1.8702338861516587e-05, + "loss": 0.972, + "step": 642 + }, + { + "epoch": 0.83, + "learning_rate": 1.8691876196267892e-05, + "loss": 0.9857, + "step": 644 + }, + { + "epoch": 0.83, + "learning_rate": 1.8681374472416075e-05, + "loss": 0.9652, + "step": 646 + }, + { + "epoch": 0.83, + "learning_rate": 1.867083373715264e-05, + "loss": 0.9234, + "step": 648 + }, + { + "epoch": 0.83, + "learning_rate": 1.866025403784439e-05, + "loss": 0.9598, + "step": 650 + }, + { + "epoch": 0.84, + "learning_rate": 1.8649635422033218e-05, + "loss": 0.9785, + "step": 652 + }, + { + "epoch": 0.84, + "learning_rate": 1.86389779374359e-05, + "loss": 0.9512, + "step": 654 + }, + { + "epoch": 0.84, + "learning_rate": 1.862828163194388e-05, + "loss": 0.9479, + "step": 656 + }, + { + "epoch": 0.84, + "learning_rate": 1.861754655362304e-05, + "loss": 0.9631, + "step": 658 + }, + { + "epoch": 0.85, + "learning_rate": 1.8606772750713503e-05, + "loss": 0.9858, + "step": 660 + }, + { + "epoch": 0.85, + "learning_rate": 1.8595960271629412e-05, + "loss": 0.9934, + "step": 662 + }, + { + "epoch": 0.85, + "learning_rate": 1.8585109164958698e-05, + "loss": 0.974, + "step": 664 + }, + { + "epoch": 0.85, + "learning_rate": 1.857421947946288e-05, + "loss": 0.9948, + "step": 666 + }, + { + "epoch": 0.86, + "learning_rate": 1.8563291264076834e-05, + "loss": 0.9524, + "step": 668 + }, + { + "epoch": 0.86, + "learning_rate": 1.8552324567908585e-05, + "loss": 0.9399, + "step": 670 + }, + { + "epoch": 0.86, + "learning_rate": 1.8541319440239066e-05, + "loss": 0.9611, + "step": 672 + }, + { + "epoch": 0.86, + "learning_rate": 1.8530275930521925e-05, + "loss": 0.96, + "step": 674 + }, + { + "epoch": 0.87, + "learning_rate": 1.851919408838327e-05, + "loss": 0.9282, + "step": 676 + }, + { + "epoch": 0.87, + "learning_rate": 1.8508073963621482e-05, + "loss": 0.9576, + "step": 678 + }, + { + "epoch": 0.87, + "learning_rate": 1.8496915606206952e-05, + "loss": 0.9863, + "step": 680 + }, + { + "epoch": 0.87, + "learning_rate": 1.8485719066281894e-05, + "loss": 0.9812, + "step": 682 + }, + { + "epoch": 0.88, + "learning_rate": 1.847448439416009e-05, + "loss": 0.9907, + "step": 684 + }, + { + "epoch": 0.88, + "learning_rate": 1.8463211640326686e-05, + "loss": 1.0007, + "step": 686 + }, + { + "epoch": 0.88, + "learning_rate": 1.845190085543795e-05, + "loss": 0.9565, + "step": 688 + }, + { + "epoch": 0.88, + "learning_rate": 1.8440552090321047e-05, + "loss": 0.9416, + "step": 690 + }, + { + "epoch": 0.89, + "learning_rate": 1.842916539597382e-05, + "loss": 0.9936, + "step": 692 + }, + { + "epoch": 0.89, + "learning_rate": 1.8417740823564552e-05, + "loss": 0.9561, + "step": 694 + }, + { + "epoch": 0.89, + "learning_rate": 1.8406278424431737e-05, + "loss": 0.9934, + "step": 696 + }, + { + "epoch": 0.89, + "learning_rate": 1.839477825008385e-05, + "loss": 0.946, + "step": 698 + }, + { + "epoch": 0.9, + "learning_rate": 1.8383240352199118e-05, + "loss": 0.9518, + "step": 700 + }, + { + "epoch": 0.9, + "learning_rate": 1.8371664782625287e-05, + "loss": 0.9353, + "step": 702 + }, + { + "epoch": 0.9, + "learning_rate": 1.8360051593379383e-05, + "loss": 0.9797, + "step": 704 + }, + { + "epoch": 0.91, + "learning_rate": 1.8348400836647492e-05, + "loss": 0.949, + "step": 706 + }, + { + "epoch": 0.91, + "learning_rate": 1.8336712564784506e-05, + "loss": 0.9681, + "step": 708 + }, + { + "epoch": 0.91, + "learning_rate": 1.83249868303139e-05, + "loss": 0.9341, + "step": 710 + }, + { + "epoch": 0.91, + "learning_rate": 1.8313223685927507e-05, + "loss": 0.974, + "step": 712 + }, + { + "epoch": 0.92, + "learning_rate": 1.8301423184485253e-05, + "loss": 0.9027, + "step": 714 + }, + { + "epoch": 0.92, + "learning_rate": 1.8289585379014942e-05, + "loss": 0.9613, + "step": 716 + }, + { + "epoch": 0.92, + "learning_rate": 1.827771032271201e-05, + "loss": 0.966, + "step": 718 + }, + { + "epoch": 0.92, + "learning_rate": 1.8265798068939295e-05, + "loss": 1.0244, + "step": 720 + }, + { + "epoch": 0.93, + "learning_rate": 1.825384867122677e-05, + "loss": 0.9949, + "step": 722 + }, + { + "epoch": 0.93, + "learning_rate": 1.8241862183271338e-05, + "loss": 0.9307, + "step": 724 + }, + { + "epoch": 0.93, + "learning_rate": 1.8229838658936566e-05, + "loss": 0.9577, + "step": 726 + }, + { + "epoch": 0.93, + "learning_rate": 1.821777815225245e-05, + "loss": 0.947, + "step": 728 + }, + { + "epoch": 0.94, + "learning_rate": 1.8205680717415188e-05, + "loss": 0.9278, + "step": 730 + }, + { + "epoch": 0.94, + "learning_rate": 1.81935464087869e-05, + "loss": 0.932, + "step": 732 + }, + { + "epoch": 0.94, + "learning_rate": 1.8181375280895417e-05, + "loss": 0.9878, + "step": 734 + }, + { + "epoch": 0.94, + "learning_rate": 1.8169167388434024e-05, + "loss": 0.9873, + "step": 736 + }, + { + "epoch": 0.95, + "learning_rate": 1.815692278626122e-05, + "loss": 0.9393, + "step": 738 + }, + { + "epoch": 0.95, + "learning_rate": 1.8144641529400445e-05, + "loss": 0.964, + "step": 740 + }, + { + "epoch": 0.95, + "learning_rate": 1.8132323673039883e-05, + "loss": 0.9571, + "step": 742 + }, + { + "epoch": 0.95, + "learning_rate": 1.8119969272532164e-05, + "loss": 0.9907, + "step": 744 + }, + { + "epoch": 0.96, + "learning_rate": 1.8107578383394145e-05, + "loss": 0.952, + "step": 746 + }, + { + "epoch": 0.96, + "learning_rate": 1.8095151061306647e-05, + "loss": 0.9455, + "step": 748 + }, + { + "epoch": 0.96, + "learning_rate": 1.808268736211421e-05, + "loss": 0.9461, + "step": 750 + }, + { + "epoch": 0.96, + "learning_rate": 1.8070187341824848e-05, + "loss": 0.9424, + "step": 752 + }, + { + "epoch": 0.97, + "learning_rate": 1.8057651056609784e-05, + "loss": 0.9303, + "step": 754 + }, + { + "epoch": 0.97, + "learning_rate": 1.8045078562803203e-05, + "loss": 1.0035, + "step": 756 + }, + { + "epoch": 0.97, + "learning_rate": 1.8032469916902004e-05, + "loss": 0.9598, + "step": 758 + }, + { + "epoch": 0.97, + "learning_rate": 1.8019825175565544e-05, + "loss": 0.9471, + "step": 760 + }, + { + "epoch": 0.98, + "learning_rate": 1.800714439561538e-05, + "loss": 0.9732, + "step": 762 + }, + { + "epoch": 0.98, + "learning_rate": 1.7994427634035016e-05, + "loss": 0.9672, + "step": 764 + }, + { + "epoch": 0.98, + "learning_rate": 1.7981674947969635e-05, + "loss": 0.948, + "step": 766 + }, + { + "epoch": 0.98, + "learning_rate": 1.7968886394725876e-05, + "loss": 0.9364, + "step": 768 + }, + { + "epoch": 0.99, + "learning_rate": 1.7956062031771533e-05, + "loss": 0.9265, + "step": 770 + }, + { + "epoch": 0.99, + "learning_rate": 1.7943201916735337e-05, + "loss": 0.9267, + "step": 772 + }, + { + "epoch": 0.99, + "learning_rate": 1.793030610740665e-05, + "loss": 0.966, + "step": 774 + }, + { + "epoch": 0.99, + "learning_rate": 1.791737466173527e-05, + "loss": 0.9343, + "step": 776 + }, + { + "epoch": 1.0, + "learning_rate": 1.7904407637831097e-05, + "loss": 0.9437, + "step": 778 + }, + { + "epoch": 1.0, + "learning_rate": 1.789140509396394e-05, + "loss": 0.9446, + "step": 780 + }, + { + "epoch": 1.0, + "learning_rate": 1.7878367088563195e-05, + "loss": 0.7208, + "step": 782 + }, + { + "epoch": 1.01, + "learning_rate": 1.7865293680217636e-05, + "loss": 0.6581, + "step": 784 + }, + { + "epoch": 1.01, + "learning_rate": 1.7852184927675113e-05, + "loss": 0.6642, + "step": 786 + }, + { + "epoch": 1.01, + "learning_rate": 1.7839040889842307e-05, + "loss": 0.6761, + "step": 788 + }, + { + "epoch": 1.01, + "learning_rate": 1.7825861625784457e-05, + "loss": 0.6743, + "step": 790 + }, + { + "epoch": 1.02, + "learning_rate": 1.7812647194725093e-05, + "loss": 0.6978, + "step": 792 + }, + { + "epoch": 1.02, + "learning_rate": 1.779939765604579e-05, + "loss": 0.6894, + "step": 794 + }, + { + "epoch": 1.02, + "learning_rate": 1.7786113069285877e-05, + "loss": 0.6569, + "step": 796 + }, + { + "epoch": 1.02, + "learning_rate": 1.777279349414217e-05, + "loss": 0.6834, + "step": 798 + }, + { + "epoch": 1.03, + "learning_rate": 1.7759438990468726e-05, + "loss": 0.6673, + "step": 800 + }, + { + "epoch": 1.03, + "learning_rate": 1.7746049618276545e-05, + "loss": 0.706, + "step": 802 + }, + { + "epoch": 1.03, + "learning_rate": 1.7732625437733338e-05, + "loss": 0.6816, + "step": 804 + }, + { + "epoch": 1.03, + "learning_rate": 1.771916650916321e-05, + "loss": 0.6727, + "step": 806 + }, + { + "epoch": 1.04, + "learning_rate": 1.7705672893046425e-05, + "loss": 0.6521, + "step": 808 + }, + { + "epoch": 1.04, + "learning_rate": 1.7692144650019125e-05, + "loss": 0.6575, + "step": 810 + }, + { + "epoch": 1.04, + "learning_rate": 1.767858184087304e-05, + "loss": 0.6536, + "step": 812 + }, + { + "epoch": 1.04, + "learning_rate": 1.7664984526555247e-05, + "loss": 0.6786, + "step": 814 + }, + { + "epoch": 1.05, + "learning_rate": 1.765135276816787e-05, + "loss": 0.6776, + "step": 816 + }, + { + "epoch": 1.05, + "learning_rate": 1.7637686626967815e-05, + "loss": 0.6591, + "step": 818 + }, + { + "epoch": 1.05, + "learning_rate": 1.7623986164366487e-05, + "loss": 0.681, + "step": 820 + }, + { + "epoch": 1.05, + "learning_rate": 1.7610251441929532e-05, + "loss": 0.6805, + "step": 822 + }, + { + "epoch": 1.06, + "learning_rate": 1.7596482521376546e-05, + "loss": 0.6553, + "step": 824 + }, + { + "epoch": 1.06, + "learning_rate": 1.7582679464580796e-05, + "loss": 0.6591, + "step": 826 + }, + { + "epoch": 1.06, + "learning_rate": 1.7568842333568952e-05, + "loss": 0.7032, + "step": 828 + }, + { + "epoch": 1.06, + "learning_rate": 1.75549711905208e-05, + "loss": 0.7043, + "step": 830 + }, + { + "epoch": 1.07, + "learning_rate": 1.7541066097768965e-05, + "loss": 0.6576, + "step": 832 + }, + { + "epoch": 1.07, + "learning_rate": 1.7527127117798635e-05, + "loss": 0.7119, + "step": 834 + }, + { + "epoch": 1.07, + "learning_rate": 1.7513154313247273e-05, + "loss": 0.7079, + "step": 836 + }, + { + "epoch": 1.07, + "learning_rate": 1.7499147746904337e-05, + "loss": 0.6893, + "step": 838 + }, + { + "epoch": 1.08, + "learning_rate": 1.7485107481711014e-05, + "loss": 0.676, + "step": 840 + }, + { + "epoch": 1.08, + "learning_rate": 1.7471033580759903e-05, + "loss": 0.6884, + "step": 842 + }, + { + "epoch": 1.08, + "learning_rate": 1.7456926107294765e-05, + "loss": 0.6845, + "step": 844 + }, + { + "epoch": 1.08, + "learning_rate": 1.7442785124710227e-05, + "loss": 0.6677, + "step": 846 + }, + { + "epoch": 1.09, + "learning_rate": 1.742861069655148e-05, + "loss": 0.6762, + "step": 848 + }, + { + "epoch": 1.09, + "learning_rate": 1.741440288651403e-05, + "loss": 0.6927, + "step": 850 + }, + { + "epoch": 1.09, + "learning_rate": 1.7400161758443377e-05, + "loss": 0.6563, + "step": 852 + }, + { + "epoch": 1.09, + "learning_rate": 1.7385887376334743e-05, + "loss": 0.6766, + "step": 854 + }, + { + "epoch": 1.1, + "learning_rate": 1.737157980433279e-05, + "loss": 0.685, + "step": 856 + }, + { + "epoch": 1.1, + "learning_rate": 1.735723910673132e-05, + "loss": 0.6739, + "step": 858 + }, + { + "epoch": 1.1, + "learning_rate": 1.7342865347972987e-05, + "loss": 0.694, + "step": 860 + }, + { + "epoch": 1.11, + "learning_rate": 1.7328458592649028e-05, + "loss": 0.6966, + "step": 862 + }, + { + "epoch": 1.11, + "learning_rate": 1.7314018905498932e-05, + "loss": 0.6762, + "step": 864 + }, + { + "epoch": 1.11, + "learning_rate": 1.7299546351410197e-05, + "loss": 0.6665, + "step": 866 + }, + { + "epoch": 1.11, + "learning_rate": 1.7285040995418003e-05, + "loss": 0.7266, + "step": 868 + }, + { + "epoch": 1.12, + "learning_rate": 1.7270502902704925e-05, + "loss": 0.6916, + "step": 870 + }, + { + "epoch": 1.12, + "learning_rate": 1.7255932138600665e-05, + "loss": 0.676, + "step": 872 + }, + { + "epoch": 1.12, + "learning_rate": 1.7241328768581725e-05, + "loss": 0.687, + "step": 874 + }, + { + "epoch": 1.12, + "learning_rate": 1.7226692858271133e-05, + "loss": 0.681, + "step": 876 + }, + { + "epoch": 1.13, + "learning_rate": 1.7212024473438145e-05, + "loss": 0.6643, + "step": 878 + }, + { + "epoch": 1.13, + "learning_rate": 1.7197323679997943e-05, + "loss": 0.681, + "step": 880 + }, + { + "epoch": 1.13, + "learning_rate": 1.718259054401135e-05, + "loss": 0.666, + "step": 882 + }, + { + "epoch": 1.13, + "learning_rate": 1.7167825131684516e-05, + "loss": 0.677, + "step": 884 + }, + { + "epoch": 1.14, + "learning_rate": 1.7153027509368637e-05, + "loss": 0.6968, + "step": 886 + }, + { + "epoch": 1.14, + "learning_rate": 1.7138197743559656e-05, + "loss": 0.6781, + "step": 888 + }, + { + "epoch": 1.14, + "learning_rate": 1.7123335900897946e-05, + "loss": 0.6608, + "step": 890 + }, + { + "epoch": 1.14, + "learning_rate": 1.7108442048168038e-05, + "loss": 0.7042, + "step": 892 + }, + { + "epoch": 1.15, + "learning_rate": 1.7093516252298296e-05, + "loss": 0.6992, + "step": 894 + }, + { + "epoch": 1.15, + "learning_rate": 1.707855858036063e-05, + "loss": 0.6746, + "step": 896 + }, + { + "epoch": 1.15, + "learning_rate": 1.7063569099570196e-05, + "loss": 0.6718, + "step": 898 + }, + { + "epoch": 1.15, + "learning_rate": 1.7048547877285078e-05, + "loss": 0.6895, + "step": 900 + }, + { + "epoch": 1.16, + "learning_rate": 1.7033494981006003e-05, + "loss": 0.6815, + "step": 902 + }, + { + "epoch": 1.16, + "learning_rate": 1.7018410478376033e-05, + "loss": 0.6403, + "step": 904 + }, + { + "epoch": 1.16, + "learning_rate": 1.7003294437180254e-05, + "loss": 0.6526, + "step": 906 + }, + { + "epoch": 1.16, + "learning_rate": 1.6988146925345487e-05, + "loss": 0.6716, + "step": 908 + }, + { + "epoch": 1.17, + "learning_rate": 1.6972968010939953e-05, + "loss": 0.6815, + "step": 910 + }, + { + "epoch": 1.17, + "learning_rate": 1.695775776217301e-05, + "loss": 0.6915, + "step": 912 + }, + { + "epoch": 1.17, + "learning_rate": 1.6942516247394806e-05, + "loss": 0.6547, + "step": 914 + }, + { + "epoch": 1.17, + "learning_rate": 1.6927243535095995e-05, + "loss": 0.6959, + "step": 916 + }, + { + "epoch": 1.18, + "learning_rate": 1.6911939693907422e-05, + "loss": 0.6991, + "step": 918 + }, + { + "epoch": 1.18, + "learning_rate": 1.6896604792599813e-05, + "loss": 0.6732, + "step": 920 + }, + { + "epoch": 1.18, + "learning_rate": 1.6881238900083472e-05, + "loss": 0.6604, + "step": 922 + }, + { + "epoch": 1.18, + "learning_rate": 1.686584208540797e-05, + "loss": 0.7089, + "step": 924 + }, + { + "epoch": 1.19, + "learning_rate": 1.685041441776183e-05, + "loss": 0.6744, + "step": 926 + }, + { + "epoch": 1.19, + "learning_rate": 1.6834955966472214e-05, + "loss": 0.6912, + "step": 928 + }, + { + "epoch": 1.19, + "learning_rate": 1.6819466801004622e-05, + "loss": 0.6964, + "step": 930 + }, + { + "epoch": 1.19, + "learning_rate": 1.6803946990962577e-05, + "loss": 0.6497, + "step": 932 + }, + { + "epoch": 1.2, + "learning_rate": 1.67883966060873e-05, + "loss": 0.6606, + "step": 934 + }, + { + "epoch": 1.2, + "learning_rate": 1.6772815716257414e-05, + "loss": 0.6708, + "step": 936 + }, + { + "epoch": 1.2, + "learning_rate": 1.6757204391488617e-05, + "loss": 0.695, + "step": 938 + }, + { + "epoch": 1.21, + "learning_rate": 1.6741562701933366e-05, + "loss": 0.6839, + "step": 940 + }, + { + "epoch": 1.21, + "learning_rate": 1.672589071788059e-05, + "loss": 0.6916, + "step": 942 + }, + { + "epoch": 1.21, + "learning_rate": 1.671018850975533e-05, + "loss": 0.7089, + "step": 944 + }, + { + "epoch": 1.21, + "learning_rate": 1.6694456148118453e-05, + "loss": 0.666, + "step": 946 + }, + { + "epoch": 1.22, + "learning_rate": 1.6678693703666327e-05, + "loss": 0.6705, + "step": 948 + }, + { + "epoch": 1.22, + "learning_rate": 1.66629012472305e-05, + "loss": 0.693, + "step": 950 + }, + { + "epoch": 1.22, + "learning_rate": 1.664707884977739e-05, + "loss": 0.6799, + "step": 952 + }, + { + "epoch": 1.22, + "learning_rate": 1.6631226582407954e-05, + "loss": 0.6794, + "step": 954 + }, + { + "epoch": 1.23, + "learning_rate": 1.661534451635738e-05, + "loss": 0.6721, + "step": 956 + }, + { + "epoch": 1.23, + "learning_rate": 1.6599432722994754e-05, + "loss": 0.6717, + "step": 958 + }, + { + "epoch": 1.23, + "learning_rate": 1.6583491273822763e-05, + "loss": 0.6708, + "step": 960 + }, + { + "epoch": 1.23, + "learning_rate": 1.6567520240477344e-05, + "loss": 0.6726, + "step": 962 + }, + { + "epoch": 1.24, + "learning_rate": 1.655151969472738e-05, + "loss": 0.6824, + "step": 964 + }, + { + "epoch": 1.24, + "learning_rate": 1.653548970847438e-05, + "loss": 0.6867, + "step": 966 + }, + { + "epoch": 1.24, + "learning_rate": 1.6519430353752138e-05, + "loss": 0.6749, + "step": 968 + }, + { + "epoch": 1.24, + "learning_rate": 1.6503341702726428e-05, + "loss": 0.6589, + "step": 970 + }, + { + "epoch": 1.25, + "learning_rate": 1.6487223827694673e-05, + "loss": 0.6842, + "step": 972 + }, + { + "epoch": 1.25, + "learning_rate": 1.6471076801085618e-05, + "loss": 0.7212, + "step": 974 + }, + { + "epoch": 1.25, + "learning_rate": 1.6454900695459e-05, + "loss": 0.6861, + "step": 976 + }, + { + "epoch": 1.25, + "learning_rate": 1.643869558350524e-05, + "loss": 0.6584, + "step": 978 + }, + { + "epoch": 1.26, + "learning_rate": 1.6422461538045104e-05, + "loss": 0.6463, + "step": 980 + }, + { + "epoch": 1.26, + "learning_rate": 1.6406198632029358e-05, + "loss": 0.6669, + "step": 982 + }, + { + "epoch": 1.26, + "learning_rate": 1.638990693853848e-05, + "loss": 0.6782, + "step": 984 + }, + { + "epoch": 1.26, + "learning_rate": 1.63735865307823e-05, + "loss": 0.6849, + "step": 986 + }, + { + "epoch": 1.27, + "learning_rate": 1.6357237482099682e-05, + "loss": 0.6453, + "step": 988 + }, + { + "epoch": 1.27, + "learning_rate": 1.6340859865958193e-05, + "loss": 0.6681, + "step": 990 + }, + { + "epoch": 1.27, + "learning_rate": 1.6324453755953772e-05, + "loss": 0.6767, + "step": 992 + }, + { + "epoch": 1.27, + "learning_rate": 1.630801922581041e-05, + "loss": 0.6767, + "step": 994 + }, + { + "epoch": 1.28, + "learning_rate": 1.6291556349379794e-05, + "loss": 0.6729, + "step": 996 + }, + { + "epoch": 1.28, + "learning_rate": 1.6275065200641004e-05, + "loss": 0.6778, + "step": 998 + }, + { + "epoch": 1.28, + "learning_rate": 1.6258545853700157e-05, + "loss": 0.661, + "step": 1000 + }, + { + "epoch": 1.28, + "learning_rate": 1.6241998382790095e-05, + "loss": 0.7027, + "step": 1002 + }, + { + "epoch": 1.29, + "learning_rate": 1.622542286227003e-05, + "loss": 0.6713, + "step": 1004 + }, + { + "epoch": 1.29, + "learning_rate": 1.620881936662522e-05, + "loss": 0.6996, + "step": 1006 + }, + { + "epoch": 1.29, + "learning_rate": 1.6192187970466646e-05, + "loss": 0.6657, + "step": 1008 + }, + { + "epoch": 1.29, + "learning_rate": 1.617552874853065e-05, + "loss": 0.6614, + "step": 1010 + }, + { + "epoch": 1.3, + "learning_rate": 1.615884177567863e-05, + "loss": 0.6811, + "step": 1012 + }, + { + "epoch": 1.3, + "learning_rate": 1.6142127126896682e-05, + "loss": 0.66, + "step": 1014 + }, + { + "epoch": 1.3, + "learning_rate": 1.6125384877295255e-05, + "loss": 0.6528, + "step": 1016 + }, + { + "epoch": 1.31, + "learning_rate": 1.6108615102108854e-05, + "loss": 0.7191, + "step": 1018 + }, + { + "epoch": 1.31, + "learning_rate": 1.6091817876695655e-05, + "loss": 0.6658, + "step": 1020 + }, + { + "epoch": 1.31, + "learning_rate": 1.6074993276537198e-05, + "loss": 0.6688, + "step": 1022 + }, + { + "epoch": 1.31, + "learning_rate": 1.6058141377238026e-05, + "loss": 0.6993, + "step": 1024 + }, + { + "epoch": 1.32, + "learning_rate": 1.6041262254525362e-05, + "loss": 0.7091, + "step": 1026 + }, + { + "epoch": 1.32, + "learning_rate": 1.602435598424877e-05, + "loss": 0.6668, + "step": 1028 + }, + { + "epoch": 1.32, + "learning_rate": 1.600742264237979e-05, + "loss": 0.6942, + "step": 1030 + }, + { + "epoch": 1.32, + "learning_rate": 1.599046230501163e-05, + "loss": 0.6601, + "step": 1032 + }, + { + "epoch": 1.33, + "learning_rate": 1.5973475048358795e-05, + "loss": 0.6937, + "step": 1034 + }, + { + "epoch": 1.33, + "learning_rate": 1.5956460948756765e-05, + "loss": 0.7019, + "step": 1036 + }, + { + "epoch": 1.33, + "learning_rate": 1.593942008266164e-05, + "loss": 0.6782, + "step": 1038 + }, + { + "epoch": 1.33, + "learning_rate": 1.5922352526649803e-05, + "loss": 0.6759, + "step": 1040 + }, + { + "epoch": 1.34, + "learning_rate": 1.5905258357417567e-05, + "loss": 0.6486, + "step": 1042 + }, + { + "epoch": 1.34, + "learning_rate": 1.5888137651780847e-05, + "loss": 0.6811, + "step": 1044 + }, + { + "epoch": 1.34, + "learning_rate": 1.5870990486674794e-05, + "loss": 0.6868, + "step": 1046 + }, + { + "epoch": 1.34, + "learning_rate": 1.585381693915346e-05, + "loss": 0.6565, + "step": 1048 + }, + { + "epoch": 1.35, + "learning_rate": 1.583661708638947e-05, + "loss": 0.6563, + "step": 1050 + }, + { + "epoch": 1.35, + "learning_rate": 1.581939100567363e-05, + "loss": 0.6765, + "step": 1052 + }, + { + "epoch": 1.35, + "learning_rate": 1.580213877441462e-05, + "loss": 0.6917, + "step": 1054 + }, + { + "epoch": 1.35, + "learning_rate": 1.5784860470138633e-05, + "loss": 0.6991, + "step": 1056 + }, + { + "epoch": 1.36, + "learning_rate": 1.5767556170489027e-05, + "loss": 0.6678, + "step": 1058 + }, + { + "epoch": 1.36, + "learning_rate": 1.5750225953225968e-05, + "loss": 0.6775, + "step": 1060 + }, + { + "epoch": 1.36, + "learning_rate": 1.573286989622609e-05, + "loss": 0.6888, + "step": 1062 + }, + { + "epoch": 1.36, + "learning_rate": 1.5715488077482152e-05, + "loss": 0.7152, + "step": 1064 + }, + { + "epoch": 1.37, + "learning_rate": 1.5698080575102662e-05, + "loss": 0.6731, + "step": 1066 + }, + { + "epoch": 1.37, + "learning_rate": 1.568064746731156e-05, + "loss": 0.6565, + "step": 1068 + }, + { + "epoch": 1.37, + "learning_rate": 1.5663188832447833e-05, + "loss": 0.7098, + "step": 1070 + }, + { + "epoch": 1.37, + "learning_rate": 1.5645704748965193e-05, + "loss": 0.6824, + "step": 1072 + }, + { + "epoch": 1.38, + "learning_rate": 1.5628195295431696e-05, + "loss": 0.6652, + "step": 1074 + }, + { + "epoch": 1.38, + "learning_rate": 1.5610660550529413e-05, + "loss": 0.6767, + "step": 1076 + }, + { + "epoch": 1.38, + "learning_rate": 1.5593100593054063e-05, + "loss": 0.6672, + "step": 1078 + }, + { + "epoch": 1.38, + "learning_rate": 1.557551550191467e-05, + "loss": 0.696, + "step": 1080 + }, + { + "epoch": 1.39, + "learning_rate": 1.5557905356133182e-05, + "loss": 0.6986, + "step": 1082 + }, + { + "epoch": 1.39, + "learning_rate": 1.554027023484416e-05, + "loss": 0.7039, + "step": 1084 + }, + { + "epoch": 1.39, + "learning_rate": 1.5522610217294377e-05, + "loss": 0.6816, + "step": 1086 + }, + { + "epoch": 1.39, + "learning_rate": 1.550492538284249e-05, + "loss": 0.6606, + "step": 1088 + }, + { + "epoch": 1.4, + "learning_rate": 1.5487215810958675e-05, + "loss": 0.6978, + "step": 1090 + }, + { + "epoch": 1.4, + "learning_rate": 1.5469481581224274e-05, + "loss": 0.6792, + "step": 1092 + }, + { + "epoch": 1.4, + "learning_rate": 1.545172277333142e-05, + "loss": 0.6698, + "step": 1094 + }, + { + "epoch": 1.41, + "learning_rate": 1.5433939467082713e-05, + "loss": 0.6946, + "step": 1096 + }, + { + "epoch": 1.41, + "learning_rate": 1.5416131742390827e-05, + "loss": 0.6636, + "step": 1098 + }, + { + "epoch": 1.41, + "learning_rate": 1.5398299679278172e-05, + "loss": 0.7072, + "step": 1100 + }, + { + "epoch": 1.41, + "learning_rate": 1.5380443357876516e-05, + "loss": 0.6604, + "step": 1102 + }, + { + "epoch": 1.42, + "learning_rate": 1.5362562858426655e-05, + "loss": 0.6487, + "step": 1104 + }, + { + "epoch": 1.42, + "learning_rate": 1.5344658261278013e-05, + "loss": 0.654, + "step": 1106 + }, + { + "epoch": 1.42, + "learning_rate": 1.5326729646888314e-05, + "loss": 0.7315, + "step": 1108 + }, + { + "epoch": 1.42, + "learning_rate": 1.530877709582321e-05, + "loss": 0.6849, + "step": 1110 + }, + { + "epoch": 1.43, + "learning_rate": 1.5290800688755906e-05, + "loss": 0.7132, + "step": 1112 + }, + { + "epoch": 1.43, + "learning_rate": 1.527280050646682e-05, + "loss": 0.7095, + "step": 1114 + }, + { + "epoch": 1.43, + "learning_rate": 1.5254776629843204e-05, + "loss": 0.6958, + "step": 1116 + }, + { + "epoch": 1.43, + "learning_rate": 1.523672913987878e-05, + "loss": 0.6912, + "step": 1118 + }, + { + "epoch": 1.44, + "learning_rate": 1.5218658117673389e-05, + "loss": 0.6872, + "step": 1120 + }, + { + "epoch": 1.44, + "learning_rate": 1.5200563644432614e-05, + "loss": 0.6528, + "step": 1122 + }, + { + "epoch": 1.44, + "learning_rate": 1.518244580146742e-05, + "loss": 0.6489, + "step": 1124 + }, + { + "epoch": 1.44, + "learning_rate": 1.5164304670193792e-05, + "loss": 0.6625, + "step": 1126 + }, + { + "epoch": 1.45, + "learning_rate": 1.5146140332132359e-05, + "loss": 0.6994, + "step": 1128 + }, + { + "epoch": 1.45, + "learning_rate": 1.5127952868908043e-05, + "loss": 0.6519, + "step": 1130 + }, + { + "epoch": 1.45, + "learning_rate": 1.5109742362249673e-05, + "loss": 0.7028, + "step": 1132 + }, + { + "epoch": 1.45, + "learning_rate": 1.5091508893989633e-05, + "loss": 0.7121, + "step": 1134 + }, + { + "epoch": 1.46, + "learning_rate": 1.5073252546063493e-05, + "loss": 0.6831, + "step": 1136 + }, + { + "epoch": 1.46, + "learning_rate": 1.5054973400509631e-05, + "loss": 0.6785, + "step": 1138 + }, + { + "epoch": 1.46, + "learning_rate": 1.5036671539468879e-05, + "loss": 0.7107, + "step": 1140 + }, + { + "epoch": 1.46, + "learning_rate": 1.5018347045184132e-05, + "loss": 0.6388, + "step": 1142 + }, + { + "epoch": 1.47, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.6863, + "step": 1144 + }, + { + "epoch": 1.47, + "learning_rate": 1.4981630486362435e-05, + "loss": 0.7048, + "step": 1146 + }, + { + "epoch": 1.47, + "learning_rate": 1.4963238586818346e-05, + "loss": 0.6739, + "step": 1148 + }, + { + "epoch": 1.47, + "learning_rate": 1.4944824384015238e-05, + "loss": 0.713, + "step": 1150 + }, + { + "epoch": 1.48, + "learning_rate": 1.4926387960700843e-05, + "loss": 0.6581, + "step": 1152 + }, + { + "epoch": 1.48, + "learning_rate": 1.4907929399722752e-05, + "loss": 0.6761, + "step": 1154 + }, + { + "epoch": 1.48, + "learning_rate": 1.488944878402802e-05, + "loss": 0.6654, + "step": 1156 + }, + { + "epoch": 1.48, + "learning_rate": 1.4870946196662822e-05, + "loss": 0.6789, + "step": 1158 + }, + { + "epoch": 1.49, + "learning_rate": 1.4852421720772064e-05, + "loss": 0.719, + "step": 1160 + }, + { + "epoch": 1.49, + "learning_rate": 1.4833875439599004e-05, + "loss": 0.6891, + "step": 1162 + }, + { + "epoch": 1.49, + "learning_rate": 1.4815307436484898e-05, + "loss": 0.6749, + "step": 1164 + }, + { + "epoch": 1.49, + "learning_rate": 1.4796717794868606e-05, + "loss": 0.6907, + "step": 1166 + }, + { + "epoch": 1.5, + "learning_rate": 1.4778106598286235e-05, + "loss": 0.6898, + "step": 1168 + }, + { + "epoch": 1.5, + "learning_rate": 1.4759473930370738e-05, + "loss": 0.6835, + "step": 1170 + }, + { + "epoch": 1.5, + "learning_rate": 1.4740819874851562e-05, + "loss": 0.6484, + "step": 1172 + }, + { + "epoch": 1.51, + "learning_rate": 1.4722144515554263e-05, + "loss": 0.6236, + "step": 1174 + }, + { + "epoch": 1.51, + "learning_rate": 1.4703447936400135e-05, + "loss": 0.6484, + "step": 1176 + }, + { + "epoch": 1.51, + "learning_rate": 1.4684730221405814e-05, + "loss": 0.694, + "step": 1178 + }, + { + "epoch": 1.51, + "learning_rate": 1.4665991454682924e-05, + "loss": 0.6673, + "step": 1180 + }, + { + "epoch": 1.52, + "learning_rate": 1.4647231720437687e-05, + "loss": 0.6609, + "step": 1182 + }, + { + "epoch": 1.52, + "learning_rate": 1.4628451102970546e-05, + "loss": 0.7178, + "step": 1184 + }, + { + "epoch": 1.52, + "learning_rate": 1.4609649686675786e-05, + "loss": 0.6564, + "step": 1186 + }, + { + "epoch": 1.52, + "learning_rate": 1.4590827556041158e-05, + "loss": 0.6898, + "step": 1188 + }, + { + "epoch": 1.53, + "learning_rate": 1.4571984795647494e-05, + "loss": 0.6892, + "step": 1190 + }, + { + "epoch": 1.53, + "learning_rate": 1.4553121490168335e-05, + "loss": 0.6854, + "step": 1192 + }, + { + "epoch": 1.53, + "learning_rate": 1.4534237724369534e-05, + "loss": 0.6946, + "step": 1194 + }, + { + "epoch": 1.53, + "learning_rate": 1.4515333583108896e-05, + "loss": 0.6577, + "step": 1196 + }, + { + "epoch": 1.54, + "learning_rate": 1.4496409151335786e-05, + "loss": 0.667, + "step": 1198 + }, + { + "epoch": 1.54, + "learning_rate": 1.4477464514090745e-05, + "loss": 0.6932, + "step": 1200 + }, + { + "epoch": 1.54, + "learning_rate": 1.4458499756505116e-05, + "loss": 0.6625, + "step": 1202 + }, + { + "epoch": 1.54, + "learning_rate": 1.443951496380065e-05, + "loss": 0.6827, + "step": 1204 + }, + { + "epoch": 1.55, + "learning_rate": 1.4420510221289137e-05, + "loss": 0.6946, + "step": 1206 + }, + { + "epoch": 1.55, + "learning_rate": 1.4401485614372009e-05, + "loss": 0.67, + "step": 1208 + }, + { + "epoch": 1.55, + "learning_rate": 1.4382441228539962e-05, + "loss": 0.6913, + "step": 1210 + }, + { + "epoch": 1.55, + "learning_rate": 1.4363377149372584e-05, + "loss": 0.6376, + "step": 1212 + }, + { + "epoch": 1.56, + "learning_rate": 1.434429346253794e-05, + "loss": 0.6709, + "step": 1214 + }, + { + "epoch": 1.56, + "learning_rate": 1.4325190253792222e-05, + "loss": 0.7009, + "step": 1216 + }, + { + "epoch": 1.56, + "learning_rate": 1.430606760897934e-05, + "loss": 0.7033, + "step": 1218 + }, + { + "epoch": 1.56, + "learning_rate": 1.4286925614030542e-05, + "loss": 0.6607, + "step": 1220 + }, + { + "epoch": 1.57, + "learning_rate": 1.4267764354964038e-05, + "loss": 0.6627, + "step": 1222 + }, + { + "epoch": 1.57, + "learning_rate": 1.4248583917884595e-05, + "loss": 0.7147, + "step": 1224 + }, + { + "epoch": 1.57, + "learning_rate": 1.4229384388983167e-05, + "loss": 0.6639, + "step": 1226 + }, + { + "epoch": 1.57, + "learning_rate": 1.4210165854536495e-05, + "loss": 0.6839, + "step": 1228 + }, + { + "epoch": 1.58, + "learning_rate": 1.4190928400906731e-05, + "loss": 0.6975, + "step": 1230 + }, + { + "epoch": 1.58, + "learning_rate": 1.4171672114541042e-05, + "loss": 0.6952, + "step": 1232 + }, + { + "epoch": 1.58, + "learning_rate": 1.415239708197122e-05, + "loss": 0.6946, + "step": 1234 + }, + { + "epoch": 1.58, + "learning_rate": 1.4133103389813302e-05, + "loss": 0.6661, + "step": 1236 + }, + { + "epoch": 1.59, + "learning_rate": 1.411379112476717e-05, + "loss": 0.6631, + "step": 1238 + }, + { + "epoch": 1.59, + "learning_rate": 1.409446037361617e-05, + "loss": 0.6417, + "step": 1240 + }, + { + "epoch": 1.59, + "learning_rate": 1.4075111223226721e-05, + "loss": 0.677, + "step": 1242 + }, + { + "epoch": 1.59, + "learning_rate": 1.4055743760547918e-05, + "loss": 0.6788, + "step": 1244 + }, + { + "epoch": 1.6, + "learning_rate": 1.4036358072611147e-05, + "loss": 0.6612, + "step": 1246 + }, + { + "epoch": 1.6, + "learning_rate": 1.4016954246529697e-05, + "loss": 0.6838, + "step": 1248 + }, + { + "epoch": 1.6, + "learning_rate": 1.3997532369498357e-05, + "loss": 0.7189, + "step": 1250 + }, + { + "epoch": 1.61, + "learning_rate": 1.3978092528793032e-05, + "loss": 0.6397, + "step": 1252 + }, + { + "epoch": 1.61, + "learning_rate": 1.3958634811770361e-05, + "loss": 0.6933, + "step": 1254 + }, + { + "epoch": 1.61, + "learning_rate": 1.39391593058673e-05, + "loss": 0.6961, + "step": 1256 + }, + { + "epoch": 1.61, + "learning_rate": 1.3919666098600753e-05, + "loss": 0.6556, + "step": 1258 + }, + { + "epoch": 1.62, + "learning_rate": 1.3900155277567157e-05, + "loss": 0.6771, + "step": 1260 + }, + { + "epoch": 1.62, + "learning_rate": 1.3880626930442115e-05, + "loss": 0.7032, + "step": 1262 + }, + { + "epoch": 1.62, + "learning_rate": 1.3861081144979975e-05, + "loss": 0.6713, + "step": 1264 + }, + { + "epoch": 1.62, + "learning_rate": 1.3841518009013446e-05, + "loss": 0.7388, + "step": 1266 + }, + { + "epoch": 1.63, + "learning_rate": 1.382193761045322e-05, + "loss": 0.6844, + "step": 1268 + }, + { + "epoch": 1.63, + "learning_rate": 1.380234003728754e-05, + "loss": 0.6441, + "step": 1270 + }, + { + "epoch": 1.63, + "learning_rate": 1.378272537758185e-05, + "loss": 0.6997, + "step": 1272 + }, + { + "epoch": 1.63, + "learning_rate": 1.3763093719478357e-05, + "loss": 0.6808, + "step": 1274 + }, + { + "epoch": 1.64, + "learning_rate": 1.3743445151195658e-05, + "loss": 0.6849, + "step": 1276 + }, + { + "epoch": 1.64, + "learning_rate": 1.3723779761028349e-05, + "loss": 0.6796, + "step": 1278 + }, + { + "epoch": 1.64, + "learning_rate": 1.37040976373466e-05, + "loss": 0.6406, + "step": 1280 + }, + { + "epoch": 1.64, + "learning_rate": 1.36843988685958e-05, + "loss": 0.727, + "step": 1282 + }, + { + "epoch": 1.65, + "learning_rate": 1.3664683543296114e-05, + "loss": 0.6628, + "step": 1284 + }, + { + "epoch": 1.65, + "learning_rate": 1.3644951750042115e-05, + "loss": 0.6442, + "step": 1286 + }, + { + "epoch": 1.65, + "learning_rate": 1.3625203577502384e-05, + "loss": 0.6828, + "step": 1288 + }, + { + "epoch": 1.65, + "learning_rate": 1.3605439114419095e-05, + "loss": 0.696, + "step": 1290 + }, + { + "epoch": 1.66, + "learning_rate": 1.3585658449607632e-05, + "loss": 0.6949, + "step": 1292 + }, + { + "epoch": 1.66, + "learning_rate": 1.3565861671956189e-05, + "loss": 0.6909, + "step": 1294 + }, + { + "epoch": 1.66, + "learning_rate": 1.3546048870425356e-05, + "loss": 0.7021, + "step": 1296 + }, + { + "epoch": 1.66, + "learning_rate": 1.352622013404774e-05, + "loss": 0.6814, + "step": 1298 + }, + { + "epoch": 1.67, + "learning_rate": 1.3506375551927546e-05, + "loss": 0.6632, + "step": 1300 + }, + { + "epoch": 1.67, + "learning_rate": 1.3486515213240188e-05, + "loss": 0.6376, + "step": 1302 + }, + { + "epoch": 1.67, + "learning_rate": 1.3466639207231882e-05, + "loss": 0.698, + "step": 1304 + }, + { + "epoch": 1.67, + "learning_rate": 1.3446747623219256e-05, + "loss": 0.6847, + "step": 1306 + }, + { + "epoch": 1.68, + "learning_rate": 1.3426840550588933e-05, + "loss": 0.6574, + "step": 1308 + }, + { + "epoch": 1.68, + "learning_rate": 1.3406918078797142e-05, + "loss": 0.6717, + "step": 1310 + }, + { + "epoch": 1.68, + "learning_rate": 1.3386980297369308e-05, + "loss": 0.6421, + "step": 1312 + }, + { + "epoch": 1.68, + "learning_rate": 1.3367027295899652e-05, + "loss": 0.6802, + "step": 1314 + }, + { + "epoch": 1.69, + "learning_rate": 1.3347059164050796e-05, + "loss": 0.7005, + "step": 1316 + }, + { + "epoch": 1.69, + "learning_rate": 1.332707599155334e-05, + "loss": 0.7182, + "step": 1318 + }, + { + "epoch": 1.69, + "learning_rate": 1.3307077868205487e-05, + "loss": 0.6878, + "step": 1320 + }, + { + "epoch": 1.69, + "learning_rate": 1.3287064883872614e-05, + "loss": 0.7044, + "step": 1322 + }, + { + "epoch": 1.7, + "learning_rate": 1.3267037128486883e-05, + "loss": 0.6779, + "step": 1324 + }, + { + "epoch": 1.7, + "learning_rate": 1.3246994692046837e-05, + "loss": 0.667, + "step": 1326 + }, + { + "epoch": 1.7, + "learning_rate": 1.3226937664616977e-05, + "loss": 0.6598, + "step": 1328 + }, + { + "epoch": 1.71, + "learning_rate": 1.3206866136327387e-05, + "loss": 0.6672, + "step": 1330 + }, + { + "epoch": 1.71, + "learning_rate": 1.3186780197373306e-05, + "loss": 0.6835, + "step": 1332 + }, + { + "epoch": 1.71, + "learning_rate": 1.3166679938014728e-05, + "loss": 0.6901, + "step": 1334 + }, + { + "epoch": 1.71, + "learning_rate": 1.3146565448576002e-05, + "loss": 0.654, + "step": 1336 + }, + { + "epoch": 1.72, + "learning_rate": 1.3126436819445423e-05, + "loss": 0.661, + "step": 1338 + }, + { + "epoch": 1.72, + "learning_rate": 1.3106294141074825e-05, + "loss": 0.6613, + "step": 1340 + }, + { + "epoch": 1.72, + "learning_rate": 1.308613750397917e-05, + "loss": 0.6717, + "step": 1342 + }, + { + "epoch": 1.72, + "learning_rate": 1.3065966998736155e-05, + "loss": 0.6694, + "step": 1344 + }, + { + "epoch": 1.73, + "learning_rate": 1.304578271598579e-05, + "loss": 0.6875, + "step": 1346 + }, + { + "epoch": 1.73, + "learning_rate": 1.302558474643e-05, + "loss": 0.6482, + "step": 1348 + }, + { + "epoch": 1.73, + "learning_rate": 1.300537318083221e-05, + "loss": 0.6687, + "step": 1350 + }, + { + "epoch": 1.73, + "learning_rate": 1.2985148110016947e-05, + "loss": 0.6992, + "step": 1352 + }, + { + "epoch": 1.74, + "learning_rate": 1.2964909624869422e-05, + "loss": 0.6722, + "step": 1354 + }, + { + "epoch": 1.74, + "learning_rate": 1.2944657816335124e-05, + "loss": 0.6592, + "step": 1356 + }, + { + "epoch": 1.74, + "learning_rate": 1.2924392775419421e-05, + "loss": 0.7048, + "step": 1358 + }, + { + "epoch": 1.74, + "learning_rate": 1.2904114593187136e-05, + "loss": 0.6543, + "step": 1360 + }, + { + "epoch": 1.75, + "learning_rate": 1.2883823360762149e-05, + "loss": 0.6909, + "step": 1362 + }, + { + "epoch": 1.75, + "learning_rate": 1.2863519169326984e-05, + "loss": 0.658, + "step": 1364 + }, + { + "epoch": 1.75, + "learning_rate": 1.284320211012239e-05, + "loss": 0.6825, + "step": 1366 + }, + { + "epoch": 1.75, + "learning_rate": 1.2822872274446958e-05, + "loss": 0.648, + "step": 1368 + }, + { + "epoch": 1.76, + "learning_rate": 1.280252975365667e-05, + "loss": 0.642, + "step": 1370 + }, + { + "epoch": 1.76, + "learning_rate": 1.2782174639164528e-05, + "loss": 0.6841, + "step": 1372 + }, + { + "epoch": 1.76, + "learning_rate": 1.276180702244012e-05, + "loss": 0.674, + "step": 1374 + }, + { + "epoch": 1.76, + "learning_rate": 1.2741426995009214e-05, + "loss": 0.6792, + "step": 1376 + }, + { + "epoch": 1.77, + "learning_rate": 1.2721034648453353e-05, + "loss": 0.6756, + "step": 1378 + }, + { + "epoch": 1.77, + "learning_rate": 1.2700630074409427e-05, + "loss": 0.6637, + "step": 1380 + }, + { + "epoch": 1.77, + "learning_rate": 1.268021336456929e-05, + "loss": 0.6692, + "step": 1382 + }, + { + "epoch": 1.77, + "learning_rate": 1.2659784610679318e-05, + "loss": 0.6655, + "step": 1384 + }, + { + "epoch": 1.78, + "learning_rate": 1.2639343904540008e-05, + "loss": 0.6875, + "step": 1386 + }, + { + "epoch": 1.78, + "learning_rate": 1.2618891338005574e-05, + "loss": 0.645, + "step": 1388 + }, + { + "epoch": 1.78, + "learning_rate": 1.2598427002983523e-05, + "loss": 0.6756, + "step": 1390 + }, + { + "epoch": 1.78, + "learning_rate": 1.2577950991434249e-05, + "loss": 0.6815, + "step": 1392 + }, + { + "epoch": 1.79, + "learning_rate": 1.2557463395370609e-05, + "loss": 0.6962, + "step": 1394 + }, + { + "epoch": 1.79, + "learning_rate": 1.2536964306857526e-05, + "loss": 0.6513, + "step": 1396 + }, + { + "epoch": 1.79, + "learning_rate": 1.2516453818011567e-05, + "loss": 0.6645, + "step": 1398 + }, + { + "epoch": 1.79, + "learning_rate": 1.2495932021000516e-05, + "loss": 0.6686, + "step": 1400 + }, + { + "epoch": 1.8, + "learning_rate": 1.247539900804299e-05, + "loss": 0.6504, + "step": 1402 + }, + { + "epoch": 1.8, + "learning_rate": 1.2454854871407993e-05, + "loss": 0.6844, + "step": 1404 + }, + { + "epoch": 1.8, + "learning_rate": 1.2434299703414523e-05, + "loss": 0.6789, + "step": 1406 + }, + { + "epoch": 1.81, + "learning_rate": 1.2413733596431141e-05, + "loss": 0.6846, + "step": 1408 + }, + { + "epoch": 1.81, + "learning_rate": 1.2393156642875579e-05, + "loss": 0.6725, + "step": 1410 + }, + { + "epoch": 1.81, + "learning_rate": 1.2372568935214298e-05, + "loss": 0.6694, + "step": 1412 + }, + { + "epoch": 1.81, + "learning_rate": 1.2351970565962083e-05, + "loss": 0.6641, + "step": 1414 + }, + { + "epoch": 1.82, + "learning_rate": 1.2331361627681645e-05, + "loss": 0.6932, + "step": 1416 + }, + { + "epoch": 1.82, + "learning_rate": 1.2310742212983167e-05, + "loss": 0.68, + "step": 1418 + }, + { + "epoch": 1.82, + "learning_rate": 1.2290112414523927e-05, + "loss": 0.6809, + "step": 1420 + }, + { + "epoch": 1.82, + "learning_rate": 1.2269472325007858e-05, + "loss": 0.6702, + "step": 1422 + }, + { + "epoch": 1.83, + "learning_rate": 1.2248822037185137e-05, + "loss": 0.6505, + "step": 1424 + }, + { + "epoch": 1.83, + "learning_rate": 1.222816164385177e-05, + "loss": 0.6658, + "step": 1426 + }, + { + "epoch": 1.83, + "learning_rate": 1.2207491237849174e-05, + "loss": 0.6188, + "step": 1428 + }, + { + "epoch": 1.83, + "learning_rate": 1.218681091206376e-05, + "loss": 0.6844, + "step": 1430 + }, + { + "epoch": 1.84, + "learning_rate": 1.2166120759426515e-05, + "loss": 0.6565, + "step": 1432 + }, + { + "epoch": 1.84, + "learning_rate": 1.2145420872912586e-05, + "loss": 0.6683, + "step": 1434 + }, + { + "epoch": 1.84, + "learning_rate": 1.2124711345540861e-05, + "loss": 0.6803, + "step": 1436 + }, + { + "epoch": 1.84, + "learning_rate": 1.2103992270373548e-05, + "loss": 0.66, + "step": 1438 + }, + { + "epoch": 1.85, + "learning_rate": 1.2083263740515764e-05, + "loss": 0.6937, + "step": 1440 + }, + { + "epoch": 1.85, + "learning_rate": 1.2062525849115107e-05, + "loss": 0.6634, + "step": 1442 + }, + { + "epoch": 1.85, + "learning_rate": 1.2041778689361254e-05, + "loss": 0.694, + "step": 1444 + }, + { + "epoch": 1.85, + "learning_rate": 1.2021022354485514e-05, + "loss": 0.6357, + "step": 1446 + }, + { + "epoch": 1.86, + "learning_rate": 1.2000256937760446e-05, + "loss": 0.6816, + "step": 1448 + }, + { + "epoch": 1.86, + "learning_rate": 1.1979482532499402e-05, + "loss": 0.6762, + "step": 1450 + }, + { + "epoch": 1.86, + "learning_rate": 1.1958699232056135e-05, + "loss": 0.6622, + "step": 1452 + }, + { + "epoch": 1.86, + "learning_rate": 1.1937907129824371e-05, + "loss": 0.6793, + "step": 1454 + }, + { + "epoch": 1.87, + "learning_rate": 1.1917106319237386e-05, + "loss": 0.6721, + "step": 1456 + }, + { + "epoch": 1.87, + "learning_rate": 1.1896296893767588e-05, + "loss": 0.6635, + "step": 1458 + }, + { + "epoch": 1.87, + "learning_rate": 1.1875478946926094e-05, + "loss": 0.6895, + "step": 1460 + }, + { + "epoch": 1.87, + "learning_rate": 1.1854652572262324e-05, + "loss": 0.6156, + "step": 1462 + }, + { + "epoch": 1.88, + "learning_rate": 1.1833817863363563e-05, + "loss": 0.6605, + "step": 1464 + }, + { + "epoch": 1.88, + "learning_rate": 1.1812974913854545e-05, + "loss": 0.6532, + "step": 1466 + }, + { + "epoch": 1.88, + "learning_rate": 1.1792123817397041e-05, + "loss": 0.6317, + "step": 1468 + }, + { + "epoch": 1.88, + "learning_rate": 1.1771264667689428e-05, + "loss": 0.6231, + "step": 1470 + }, + { + "epoch": 1.89, + "learning_rate": 1.1750397558466273e-05, + "loss": 0.6719, + "step": 1472 + }, + { + "epoch": 1.89, + "learning_rate": 1.1729522583497913e-05, + "loss": 0.6393, + "step": 1474 + }, + { + "epoch": 1.89, + "learning_rate": 1.1708639836590024e-05, + "loss": 0.6373, + "step": 1476 + }, + { + "epoch": 1.89, + "learning_rate": 1.1687749411583213e-05, + "loss": 0.687, + "step": 1478 + }, + { + "epoch": 1.9, + "learning_rate": 1.1666851402352587e-05, + "loss": 0.6593, + "step": 1480 + }, + { + "epoch": 1.9, + "learning_rate": 1.164594590280734e-05, + "loss": 0.6433, + "step": 1482 + }, + { + "epoch": 1.9, + "learning_rate": 1.1625033006890316e-05, + "loss": 0.6282, + "step": 1484 + }, + { + "epoch": 1.91, + "learning_rate": 1.1604112808577603e-05, + "loss": 0.6786, + "step": 1486 + }, + { + "epoch": 1.91, + "learning_rate": 1.15831854018781e-05, + "loss": 0.6407, + "step": 1488 + }, + { + "epoch": 1.91, + "learning_rate": 1.1562250880833103e-05, + "loss": 0.6557, + "step": 1490 + }, + { + "epoch": 1.91, + "learning_rate": 1.154130933951587e-05, + "loss": 0.6797, + "step": 1492 + }, + { + "epoch": 1.92, + "learning_rate": 1.1520360872031208e-05, + "loss": 0.6817, + "step": 1494 + }, + { + "epoch": 1.92, + "learning_rate": 1.1499405572515059e-05, + "loss": 0.6411, + "step": 1496 + }, + { + "epoch": 1.92, + "learning_rate": 1.147844353513405e-05, + "loss": 0.6404, + "step": 1498 + }, + { + "epoch": 1.92, + "learning_rate": 1.1457474854085095e-05, + "loss": 0.702, + "step": 1500 + }, + { + "epoch": 1.93, + "learning_rate": 1.1436499623594963e-05, + "loss": 0.6632, + "step": 1502 + }, + { + "epoch": 1.93, + "learning_rate": 1.1415517937919846e-05, + "loss": 0.6872, + "step": 1504 + }, + { + "epoch": 1.93, + "learning_rate": 1.139452989134496e-05, + "loss": 0.6829, + "step": 1506 + }, + { + "epoch": 1.93, + "learning_rate": 1.1373535578184083e-05, + "loss": 0.6821, + "step": 1508 + }, + { + "epoch": 1.94, + "learning_rate": 1.1352535092779174e-05, + "loss": 0.6751, + "step": 1510 + }, + { + "epoch": 1.94, + "learning_rate": 1.1331528529499909e-05, + "loss": 0.647, + "step": 1512 + }, + { + "epoch": 1.94, + "learning_rate": 1.1310515982743293e-05, + "loss": 0.6522, + "step": 1514 + }, + { + "epoch": 1.94, + "learning_rate": 1.1289497546933212e-05, + "loss": 0.6586, + "step": 1516 + }, + { + "epoch": 1.95, + "learning_rate": 1.1268473316520007e-05, + "loss": 0.6563, + "step": 1518 + }, + { + "epoch": 1.95, + "learning_rate": 1.124744338598008e-05, + "loss": 0.6724, + "step": 1520 + }, + { + "epoch": 1.95, + "learning_rate": 1.1226407849815422e-05, + "loss": 0.6247, + "step": 1522 + }, + { + "epoch": 1.95, + "learning_rate": 1.1205366802553231e-05, + "loss": 0.6723, + "step": 1524 + }, + { + "epoch": 1.96, + "learning_rate": 1.1184320338745467e-05, + "loss": 0.6379, + "step": 1526 + }, + { + "epoch": 1.96, + "learning_rate": 1.1163268552968422e-05, + "loss": 0.6515, + "step": 1528 + }, + { + "epoch": 1.96, + "learning_rate": 1.1142211539822318e-05, + "loss": 0.6712, + "step": 1530 + }, + { + "epoch": 1.96, + "learning_rate": 1.112114939393085e-05, + "loss": 0.6779, + "step": 1532 + }, + { + "epoch": 1.97, + "learning_rate": 1.1100082209940795e-05, + "loss": 0.6767, + "step": 1534 + }, + { + "epoch": 1.97, + "learning_rate": 1.1079010082521557e-05, + "loss": 0.6324, + "step": 1536 + }, + { + "epoch": 1.97, + "learning_rate": 1.1057933106364758e-05, + "loss": 0.6992, + "step": 1538 + }, + { + "epoch": 1.97, + "learning_rate": 1.1036851376183812e-05, + "loss": 0.6635, + "step": 1540 + }, + { + "epoch": 1.98, + "learning_rate": 1.101576498671349e-05, + "loss": 0.6659, + "step": 1542 + }, + { + "epoch": 1.98, + "learning_rate": 1.0994674032709514e-05, + "loss": 0.6141, + "step": 1544 + }, + { + "epoch": 1.98, + "learning_rate": 1.0973578608948094e-05, + "loss": 0.6541, + "step": 1546 + }, + { + "epoch": 1.98, + "learning_rate": 1.095247881022555e-05, + "loss": 0.6571, + "step": 1548 + }, + { + "epoch": 1.99, + "learning_rate": 1.0931374731357843e-05, + "loss": 0.6636, + "step": 1550 + }, + { + "epoch": 1.99, + "learning_rate": 1.091026646718018e-05, + "loss": 0.6615, + "step": 1552 + }, + { + "epoch": 1.99, + "learning_rate": 1.0889154112546569e-05, + "loss": 0.6636, + "step": 1554 + }, + { + "epoch": 1.99, + "learning_rate": 1.0868037762329405e-05, + "loss": 0.6838, + "step": 1556 + }, + { + "epoch": 2.0, + "learning_rate": 1.0846917511419031e-05, + "loss": 0.6399, + "step": 1558 + }, + { + "epoch": 2.0, + "learning_rate": 1.0825793454723325e-05, + "loss": 0.6657, + "step": 1560 + }, + { + "epoch": 2.0, + "learning_rate": 1.0804665687167262e-05, + "loss": 0.3384, + "step": 1562 + }, + { + "epoch": 2.01, + "learning_rate": 1.0783534303692493e-05, + "loss": 0.3217, + "step": 1564 + }, + { + "epoch": 2.01, + "learning_rate": 1.0762399399256917e-05, + "loss": 0.3226, + "step": 1566 + }, + { + "epoch": 2.01, + "learning_rate": 1.0741261068834266e-05, + "loss": 0.3234, + "step": 1568 + }, + { + "epoch": 2.01, + "learning_rate": 1.0720119407413647e-05, + "loss": 0.3116, + "step": 1570 + }, + { + "epoch": 2.02, + "learning_rate": 1.0698974509999159e-05, + "loss": 0.3009, + "step": 1572 + }, + { + "epoch": 2.02, + "learning_rate": 1.0677826471609423e-05, + "loss": 0.3139, + "step": 1574 + }, + { + "epoch": 2.02, + "learning_rate": 1.0656675387277183e-05, + "loss": 0.3013, + "step": 1576 + }, + { + "epoch": 2.02, + "learning_rate": 1.0635521352048873e-05, + "loss": 0.3091, + "step": 1578 + }, + { + "epoch": 2.03, + "learning_rate": 1.0614364460984178e-05, + "loss": 0.2875, + "step": 1580 + }, + { + "epoch": 2.03, + "learning_rate": 1.0593204809155628e-05, + "loss": 0.276, + "step": 1582 + }, + { + "epoch": 2.03, + "learning_rate": 1.057204249164815e-05, + "loss": 0.2999, + "step": 1584 + }, + { + "epoch": 2.03, + "learning_rate": 1.0550877603558656e-05, + "loss": 0.2988, + "step": 1586 + }, + { + "epoch": 2.04, + "learning_rate": 1.0529710239995606e-05, + "loss": 0.3077, + "step": 1588 + }, + { + "epoch": 2.04, + "learning_rate": 1.0508540496078582e-05, + "loss": 0.332, + "step": 1590 + }, + { + "epoch": 2.04, + "learning_rate": 1.0487368466937866e-05, + "loss": 0.2911, + "step": 1592 + }, + { + "epoch": 2.04, + "learning_rate": 1.0466194247714008e-05, + "loss": 0.2854, + "step": 1594 + }, + { + "epoch": 2.05, + "learning_rate": 1.0445017933557404e-05, + "loss": 0.2989, + "step": 1596 + }, + { + "epoch": 2.05, + "learning_rate": 1.0423839619627854e-05, + "loss": 0.2874, + "step": 1598 + }, + { + "epoch": 2.05, + "learning_rate": 1.0402659401094154e-05, + "loss": 0.3164, + "step": 1600 + }, + { + "epoch": 2.05, + "learning_rate": 1.0381477373133652e-05, + "loss": 0.2996, + "step": 1602 + }, + { + "epoch": 2.06, + "learning_rate": 1.036029363093183e-05, + "loss": 0.3044, + "step": 1604 + }, + { + "epoch": 2.06, + "learning_rate": 1.0339108269681874e-05, + "loss": 0.3236, + "step": 1606 + }, + { + "epoch": 2.06, + "learning_rate": 1.0317921384584245e-05, + "loss": 0.3203, + "step": 1608 + }, + { + "epoch": 2.06, + "learning_rate": 1.0296733070846252e-05, + "loss": 0.3005, + "step": 1610 + }, + { + "epoch": 2.07, + "learning_rate": 1.0275543423681622e-05, + "loss": 0.2955, + "step": 1612 + }, + { + "epoch": 2.07, + "learning_rate": 1.0254352538310075e-05, + "loss": 0.3222, + "step": 1614 + }, + { + "epoch": 2.07, + "learning_rate": 1.0233160509956893e-05, + "loss": 0.3012, + "step": 1616 + }, + { + "epoch": 2.07, + "learning_rate": 1.0211967433852501e-05, + "loss": 0.2842, + "step": 1618 + }, + { + "epoch": 2.08, + "learning_rate": 1.0190773405232024e-05, + "loss": 0.2941, + "step": 1620 + }, + { + "epoch": 2.08, + "learning_rate": 1.0169578519334873e-05, + "loss": 0.3058, + "step": 1622 + }, + { + "epoch": 2.08, + "learning_rate": 1.014838287140431e-05, + "loss": 0.31, + "step": 1624 + }, + { + "epoch": 2.08, + "learning_rate": 1.012718655668702e-05, + "loss": 0.3019, + "step": 1626 + }, + { + "epoch": 2.09, + "learning_rate": 1.010598967043268e-05, + "loss": 0.3079, + "step": 1628 + }, + { + "epoch": 2.09, + "learning_rate": 1.0084792307893551e-05, + "loss": 0.2947, + "step": 1630 + }, + { + "epoch": 2.09, + "learning_rate": 1.0063594564324014e-05, + "loss": 0.2863, + "step": 1632 + }, + { + "epoch": 2.09, + "learning_rate": 1.0042396534980176e-05, + "loss": 0.3025, + "step": 1634 + }, + { + "epoch": 2.1, + "learning_rate": 1.0021198315119426e-05, + "loss": 0.2999, + "step": 1636 + }, + { + "epoch": 2.1, + "learning_rate": 1e-05, + "loss": 0.29, + "step": 1638 + }, + { + "epoch": 2.1, + "learning_rate": 9.97880168488058e-06, + "loss": 0.2966, + "step": 1640 + }, + { + "epoch": 2.11, + "learning_rate": 9.957603465019827e-06, + "loss": 0.3113, + "step": 1642 + }, + { + "epoch": 2.11, + "learning_rate": 9.936405435675991e-06, + "loss": 0.2922, + "step": 1644 + }, + { + "epoch": 2.11, + "learning_rate": 9.91520769210645e-06, + "loss": 0.2946, + "step": 1646 + }, + { + "epoch": 2.11, + "learning_rate": 9.894010329567322e-06, + "loss": 0.2964, + "step": 1648 + }, + { + "epoch": 2.12, + "learning_rate": 9.872813443312984e-06, + "loss": 0.2843, + "step": 1650 + }, + { + "epoch": 2.12, + "learning_rate": 9.851617128595694e-06, + "loss": 0.3191, + "step": 1652 + }, + { + "epoch": 2.12, + "learning_rate": 9.830421480665128e-06, + "loss": 0.2967, + "step": 1654 + }, + { + "epoch": 2.12, + "learning_rate": 9.809226594767979e-06, + "loss": 0.3098, + "step": 1656 + }, + { + "epoch": 2.13, + "learning_rate": 9.788032566147506e-06, + "loss": 0.2984, + "step": 1658 + }, + { + "epoch": 2.13, + "learning_rate": 9.766839490043108e-06, + "loss": 0.2802, + "step": 1660 + }, + { + "epoch": 2.13, + "learning_rate": 9.745647461689932e-06, + "loss": 0.2973, + "step": 1662 + }, + { + "epoch": 2.13, + "learning_rate": 9.724456576318383e-06, + "loss": 0.2894, + "step": 1664 + }, + { + "epoch": 2.14, + "learning_rate": 9.703266929153751e-06, + "loss": 0.2967, + "step": 1666 + }, + { + "epoch": 2.14, + "learning_rate": 9.682078615415755e-06, + "loss": 0.2898, + "step": 1668 + }, + { + "epoch": 2.14, + "learning_rate": 9.660891730318129e-06, + "loss": 0.3209, + "step": 1670 + }, + { + "epoch": 2.14, + "learning_rate": 9.63970636906817e-06, + "loss": 0.2937, + "step": 1672 + }, + { + "epoch": 2.15, + "learning_rate": 9.618522626866351e-06, + "loss": 0.3105, + "step": 1674 + }, + { + "epoch": 2.15, + "learning_rate": 9.597340598905851e-06, + "loss": 0.312, + "step": 1676 + }, + { + "epoch": 2.15, + "learning_rate": 9.57616038037215e-06, + "loss": 0.2894, + "step": 1678 + }, + { + "epoch": 2.15, + "learning_rate": 9.554982066442601e-06, + "loss": 0.3153, + "step": 1680 + }, + { + "epoch": 2.16, + "learning_rate": 9.533805752285992e-06, + "loss": 0.2843, + "step": 1682 + }, + { + "epoch": 2.16, + "learning_rate": 9.512631533062138e-06, + "loss": 0.2865, + "step": 1684 + }, + { + "epoch": 2.16, + "learning_rate": 9.49145950392142e-06, + "loss": 0.3006, + "step": 1686 + }, + { + "epoch": 2.16, + "learning_rate": 9.470289760004398e-06, + "loss": 0.2958, + "step": 1688 + }, + { + "epoch": 2.17, + "learning_rate": 9.449122396441344e-06, + "loss": 0.2926, + "step": 1690 + }, + { + "epoch": 2.17, + "learning_rate": 9.427957508351852e-06, + "loss": 0.2962, + "step": 1692 + }, + { + "epoch": 2.17, + "learning_rate": 9.406795190844376e-06, + "loss": 0.2961, + "step": 1694 + }, + { + "epoch": 2.17, + "learning_rate": 9.385635539015824e-06, + "loss": 0.3022, + "step": 1696 + }, + { + "epoch": 2.18, + "learning_rate": 9.364478647951132e-06, + "loss": 0.3152, + "step": 1698 + }, + { + "epoch": 2.18, + "learning_rate": 9.343324612722819e-06, + "loss": 0.2987, + "step": 1700 + }, + { + "epoch": 2.18, + "learning_rate": 9.32217352839058e-06, + "loss": 0.3159, + "step": 1702 + }, + { + "epoch": 2.18, + "learning_rate": 9.301025490000843e-06, + "loss": 0.3118, + "step": 1704 + }, + { + "epoch": 2.19, + "learning_rate": 9.279880592586355e-06, + "loss": 0.294, + "step": 1706 + }, + { + "epoch": 2.19, + "learning_rate": 9.25873893116574e-06, + "loss": 0.3079, + "step": 1708 + }, + { + "epoch": 2.19, + "learning_rate": 9.237600600743086e-06, + "loss": 0.2939, + "step": 1710 + }, + { + "epoch": 2.19, + "learning_rate": 9.216465696307513e-06, + "loss": 0.2924, + "step": 1712 + }, + { + "epoch": 2.2, + "learning_rate": 9.195334312832742e-06, + "loss": 0.279, + "step": 1714 + }, + { + "epoch": 2.2, + "learning_rate": 9.174206545276678e-06, + "loss": 0.2767, + "step": 1716 + }, + { + "epoch": 2.2, + "learning_rate": 9.153082488580969e-06, + "loss": 0.2925, + "step": 1718 + }, + { + "epoch": 2.21, + "learning_rate": 9.131962237670599e-06, + "loss": 0.2965, + "step": 1720 + }, + { + "epoch": 2.21, + "learning_rate": 9.11084588745343e-06, + "loss": 0.2946, + "step": 1722 + }, + { + "epoch": 2.21, + "learning_rate": 9.089733532819825e-06, + "loss": 0.3002, + "step": 1724 + }, + { + "epoch": 2.21, + "learning_rate": 9.068625268642162e-06, + "loss": 0.2934, + "step": 1726 + }, + { + "epoch": 2.22, + "learning_rate": 9.047521189774456e-06, + "loss": 0.308, + "step": 1728 + }, + { + "epoch": 2.22, + "learning_rate": 9.026421391051908e-06, + "loss": 0.2945, + "step": 1730 + }, + { + "epoch": 2.22, + "learning_rate": 9.005325967290489e-06, + "loss": 0.2886, + "step": 1732 + }, + { + "epoch": 2.22, + "learning_rate": 8.984235013286512e-06, + "loss": 0.3069, + "step": 1734 + }, + { + "epoch": 2.23, + "learning_rate": 8.963148623816191e-06, + "loss": 0.3006, + "step": 1736 + }, + { + "epoch": 2.23, + "learning_rate": 8.942066893635245e-06, + "loss": 0.2986, + "step": 1738 + }, + { + "epoch": 2.23, + "learning_rate": 8.920989917478446e-06, + "loss": 0.2964, + "step": 1740 + }, + { + "epoch": 2.23, + "learning_rate": 8.899917790059208e-06, + "loss": 0.2792, + "step": 1742 + }, + { + "epoch": 2.24, + "learning_rate": 8.878850606069152e-06, + "loss": 0.3028, + "step": 1744 + }, + { + "epoch": 2.24, + "learning_rate": 8.857788460177685e-06, + "loss": 0.3172, + "step": 1746 + }, + { + "epoch": 2.24, + "learning_rate": 8.836731447031581e-06, + "loss": 0.2767, + "step": 1748 + }, + { + "epoch": 2.24, + "learning_rate": 8.815679661254538e-06, + "loss": 0.2948, + "step": 1750 + }, + { + "epoch": 2.25, + "learning_rate": 8.79463319744677e-06, + "loss": 0.2942, + "step": 1752 + }, + { + "epoch": 2.25, + "learning_rate": 8.77359215018458e-06, + "loss": 0.2977, + "step": 1754 + }, + { + "epoch": 2.25, + "learning_rate": 8.752556614019924e-06, + "loss": 0.2903, + "step": 1756 + }, + { + "epoch": 2.25, + "learning_rate": 8.731526683479991e-06, + "loss": 0.3057, + "step": 1758 + }, + { + "epoch": 2.26, + "learning_rate": 8.710502453066791e-06, + "loss": 0.2959, + "step": 1760 + }, + { + "epoch": 2.26, + "learning_rate": 8.689484017256712e-06, + "loss": 0.3104, + "step": 1762 + }, + { + "epoch": 2.26, + "learning_rate": 8.668471470500094e-06, + "loss": 0.2941, + "step": 1764 + }, + { + "epoch": 2.26, + "learning_rate": 8.647464907220833e-06, + "loss": 0.3048, + "step": 1766 + }, + { + "epoch": 2.27, + "learning_rate": 8.626464421815919e-06, + "loss": 0.2999, + "step": 1768 + }, + { + "epoch": 2.27, + "learning_rate": 8.605470108655046e-06, + "loss": 0.2885, + "step": 1770 + }, + { + "epoch": 2.27, + "learning_rate": 8.584482062080154e-06, + "loss": 0.289, + "step": 1772 + }, + { + "epoch": 2.27, + "learning_rate": 8.56350037640504e-06, + "loss": 0.2921, + "step": 1774 + }, + { + "epoch": 2.28, + "learning_rate": 8.542525145914907e-06, + "loss": 0.2813, + "step": 1776 + }, + { + "epoch": 2.28, + "learning_rate": 8.521556464865955e-06, + "loss": 0.2843, + "step": 1778 + }, + { + "epoch": 2.28, + "learning_rate": 8.500594427484946e-06, + "loss": 0.3057, + "step": 1780 + }, + { + "epoch": 2.28, + "learning_rate": 8.479639127968793e-06, + "loss": 0.2842, + "step": 1782 + }, + { + "epoch": 2.29, + "learning_rate": 8.458690660484134e-06, + "loss": 0.2703, + "step": 1784 + }, + { + "epoch": 2.29, + "learning_rate": 8.4377491191669e-06, + "loss": 0.2838, + "step": 1786 + }, + { + "epoch": 2.29, + "learning_rate": 8.416814598121901e-06, + "loss": 0.2977, + "step": 1788 + }, + { + "epoch": 2.29, + "learning_rate": 8.395887191422397e-06, + "loss": 0.2726, + "step": 1790 + }, + { + "epoch": 2.3, + "learning_rate": 8.374966993109689e-06, + "loss": 0.2827, + "step": 1792 + }, + { + "epoch": 2.3, + "learning_rate": 8.35405409719266e-06, + "loss": 0.2787, + "step": 1794 + }, + { + "epoch": 2.3, + "learning_rate": 8.333148597647414e-06, + "loss": 0.3053, + "step": 1796 + }, + { + "epoch": 2.31, + "learning_rate": 8.312250588416792e-06, + "loss": 0.2894, + "step": 1798 + }, + { + "epoch": 2.31, + "learning_rate": 8.291360163409978e-06, + "loss": 0.2838, + "step": 1800 + }, + { + "epoch": 2.31, + "learning_rate": 8.27047741650209e-06, + "loss": 0.3018, + "step": 1802 + }, + { + "epoch": 2.31, + "learning_rate": 8.249602441533727e-06, + "loss": 0.2988, + "step": 1804 + }, + { + "epoch": 2.32, + "learning_rate": 8.228735332310575e-06, + "loss": 0.2973, + "step": 1806 + }, + { + "epoch": 2.32, + "learning_rate": 8.207876182602959e-06, + "loss": 0.2712, + "step": 1808 + }, + { + "epoch": 2.32, + "learning_rate": 8.187025086145458e-06, + "loss": 0.2916, + "step": 1810 + }, + { + "epoch": 2.32, + "learning_rate": 8.16618213663644e-06, + "loss": 0.2871, + "step": 1812 + }, + { + "epoch": 2.33, + "learning_rate": 8.14534742773768e-06, + "loss": 0.2842, + "step": 1814 + }, + { + "epoch": 2.33, + "learning_rate": 8.12452105307391e-06, + "loss": 0.2888, + "step": 1816 + }, + { + "epoch": 2.33, + "learning_rate": 8.103703106232416e-06, + "loss": 0.3169, + "step": 1818 + }, + { + "epoch": 2.33, + "learning_rate": 8.082893680762619e-06, + "loss": 0.2979, + "step": 1820 + }, + { + "epoch": 2.34, + "learning_rate": 8.062092870175629e-06, + "loss": 0.2896, + "step": 1822 + }, + { + "epoch": 2.34, + "learning_rate": 8.041300767943867e-06, + "loss": 0.2961, + "step": 1824 + }, + { + "epoch": 2.34, + "learning_rate": 8.0205174675006e-06, + "loss": 0.2889, + "step": 1826 + }, + { + "epoch": 2.34, + "learning_rate": 7.999743062239557e-06, + "loss": 0.301, + "step": 1828 + }, + { + "epoch": 2.35, + "learning_rate": 7.978977645514488e-06, + "loss": 0.2911, + "step": 1830 + }, + { + "epoch": 2.35, + "learning_rate": 7.958221310638749e-06, + "loss": 0.2906, + "step": 1832 + }, + { + "epoch": 2.35, + "learning_rate": 7.937474150884898e-06, + "loss": 0.297, + "step": 1834 + }, + { + "epoch": 2.35, + "learning_rate": 7.916736259484239e-06, + "loss": 0.2907, + "step": 1836 + }, + { + "epoch": 2.36, + "learning_rate": 7.896007729626457e-06, + "loss": 0.2909, + "step": 1838 + }, + { + "epoch": 2.36, + "learning_rate": 7.875288654459144e-06, + "loss": 0.292, + "step": 1840 + }, + { + "epoch": 2.36, + "learning_rate": 7.854579127087418e-06, + "loss": 0.2956, + "step": 1842 + }, + { + "epoch": 2.36, + "learning_rate": 7.833879240573487e-06, + "loss": 0.2963, + "step": 1844 + }, + { + "epoch": 2.37, + "learning_rate": 7.813189087936243e-06, + "loss": 0.3009, + "step": 1846 + }, + { + "epoch": 2.37, + "learning_rate": 7.792508762150833e-06, + "loss": 0.2882, + "step": 1848 + }, + { + "epoch": 2.37, + "learning_rate": 7.771838356148231e-06, + "loss": 0.3053, + "step": 1850 + }, + { + "epoch": 2.37, + "learning_rate": 7.751177962814867e-06, + "loss": 0.2846, + "step": 1852 + }, + { + "epoch": 2.38, + "learning_rate": 7.730527674992143e-06, + "loss": 0.2963, + "step": 1854 + }, + { + "epoch": 2.38, + "learning_rate": 7.709887585476075e-06, + "loss": 0.2911, + "step": 1856 + }, + { + "epoch": 2.38, + "learning_rate": 7.689257787016834e-06, + "loss": 0.2831, + "step": 1858 + }, + { + "epoch": 2.38, + "learning_rate": 7.668638372318359e-06, + "loss": 0.2957, + "step": 1860 + }, + { + "epoch": 2.39, + "learning_rate": 7.648029434037915e-06, + "loss": 0.2871, + "step": 1862 + }, + { + "epoch": 2.39, + "learning_rate": 7.627431064785705e-06, + "loss": 0.26, + "step": 1864 + }, + { + "epoch": 2.39, + "learning_rate": 7.606843357124426e-06, + "loss": 0.2909, + "step": 1866 + }, + { + "epoch": 2.39, + "learning_rate": 7.5862664035688604e-06, + "loss": 0.2835, + "step": 1868 + }, + { + "epoch": 2.4, + "learning_rate": 7.565700296585483e-06, + "loss": 0.303, + "step": 1870 + }, + { + "epoch": 2.4, + "learning_rate": 7.545145128592009e-06, + "loss": 0.2841, + "step": 1872 + }, + { + "epoch": 2.4, + "learning_rate": 7.524600991957013e-06, + "loss": 0.2881, + "step": 1874 + }, + { + "epoch": 2.41, + "learning_rate": 7.504067978999484e-06, + "loss": 0.2958, + "step": 1876 + }, + { + "epoch": 2.41, + "learning_rate": 7.483546181988437e-06, + "loss": 0.2905, + "step": 1878 + }, + { + "epoch": 2.41, + "learning_rate": 7.463035693142473e-06, + "loss": 0.2774, + "step": 1880 + }, + { + "epoch": 2.41, + "learning_rate": 7.442536604629396e-06, + "loss": 0.2847, + "step": 1882 + }, + { + "epoch": 2.42, + "learning_rate": 7.422049008565757e-06, + "loss": 0.3078, + "step": 1884 + }, + { + "epoch": 2.42, + "learning_rate": 7.40157299701648e-06, + "loss": 0.3036, + "step": 1886 + }, + { + "epoch": 2.42, + "learning_rate": 7.38110866199443e-06, + "loss": 0.3172, + "step": 1888 + }, + { + "epoch": 2.42, + "learning_rate": 7.360656095459995e-06, + "loss": 0.2815, + "step": 1890 + }, + { + "epoch": 2.43, + "learning_rate": 7.340215389320686e-06, + "loss": 0.2841, + "step": 1892 + }, + { + "epoch": 2.43, + "learning_rate": 7.31978663543071e-06, + "loss": 0.2834, + "step": 1894 + }, + { + "epoch": 2.43, + "learning_rate": 7.299369925590575e-06, + "loss": 0.2891, + "step": 1896 + }, + { + "epoch": 2.43, + "learning_rate": 7.278965351546648e-06, + "loss": 0.2928, + "step": 1898 + }, + { + "epoch": 2.44, + "learning_rate": 7.258573004990789e-06, + "loss": 0.3074, + "step": 1900 + }, + { + "epoch": 2.44, + "learning_rate": 7.2381929775598835e-06, + "loss": 0.2841, + "step": 1902 + }, + { + "epoch": 2.44, + "learning_rate": 7.217825360835475e-06, + "loss": 0.3, + "step": 1904 + }, + { + "epoch": 2.44, + "learning_rate": 7.197470246343333e-06, + "loss": 0.2773, + "step": 1906 + }, + { + "epoch": 2.45, + "learning_rate": 7.1771277255530456e-06, + "loss": 0.28, + "step": 1908 + }, + { + "epoch": 2.45, + "learning_rate": 7.156797889877613e-06, + "loss": 0.2912, + "step": 1910 + }, + { + "epoch": 2.45, + "learning_rate": 7.136480830673018e-06, + "loss": 0.2723, + "step": 1912 + }, + { + "epoch": 2.45, + "learning_rate": 7.116176639237853e-06, + "loss": 0.285, + "step": 1914 + }, + { + "epoch": 2.46, + "learning_rate": 7.095885406812866e-06, + "loss": 0.2734, + "step": 1916 + }, + { + "epoch": 2.46, + "learning_rate": 7.075607224580581e-06, + "loss": 0.2895, + "step": 1918 + }, + { + "epoch": 2.46, + "learning_rate": 7.05534218366488e-06, + "loss": 0.2972, + "step": 1920 + }, + { + "epoch": 2.46, + "learning_rate": 7.035090375130581e-06, + "loss": 0.285, + "step": 1922 + }, + { + "epoch": 2.47, + "learning_rate": 7.014851889983058e-06, + "loss": 0.2692, + "step": 1924 + }, + { + "epoch": 2.47, + "learning_rate": 6.994626819167789e-06, + "loss": 0.2743, + "step": 1926 + }, + { + "epoch": 2.47, + "learning_rate": 6.974415253570003e-06, + "loss": 0.2884, + "step": 1928 + }, + { + "epoch": 2.47, + "learning_rate": 6.9542172840142105e-06, + "loss": 0.2915, + "step": 1930 + }, + { + "epoch": 2.48, + "learning_rate": 6.934033001263847e-06, + "loss": 0.2994, + "step": 1932 + }, + { + "epoch": 2.48, + "learning_rate": 6.913862496020831e-06, + "loss": 0.3014, + "step": 1934 + }, + { + "epoch": 2.48, + "learning_rate": 6.893705858925179e-06, + "loss": 0.2946, + "step": 1936 + }, + { + "epoch": 2.48, + "learning_rate": 6.873563180554583e-06, + "loss": 0.3003, + "step": 1938 + }, + { + "epoch": 2.49, + "learning_rate": 6.853434551424001e-06, + "loss": 0.2781, + "step": 1940 + }, + { + "epoch": 2.49, + "learning_rate": 6.833320061985278e-06, + "loss": 0.2902, + "step": 1942 + }, + { + "epoch": 2.49, + "learning_rate": 6.813219802626698e-06, + "loss": 0.2727, + "step": 1944 + }, + { + "epoch": 2.49, + "learning_rate": 6.793133863672616e-06, + "loss": 0.2725, + "step": 1946 + }, + { + "epoch": 2.5, + "learning_rate": 6.773062335383024e-06, + "loss": 0.2882, + "step": 1948 + }, + { + "epoch": 2.5, + "learning_rate": 6.7530053079531664e-06, + "loss": 0.2661, + "step": 1950 + }, + { + "epoch": 2.5, + "learning_rate": 6.73296287151312e-06, + "loss": 0.2777, + "step": 1952 + }, + { + "epoch": 2.51, + "learning_rate": 6.712935116127389e-06, + "loss": 0.3, + "step": 1954 + }, + { + "epoch": 2.51, + "learning_rate": 6.692922131794517e-06, + "loss": 0.2839, + "step": 1956 + }, + { + "epoch": 2.51, + "learning_rate": 6.672924008446663e-06, + "loss": 0.2947, + "step": 1958 + }, + { + "epoch": 2.51, + "learning_rate": 6.652940835949208e-06, + "loss": 0.2744, + "step": 1960 + }, + { + "epoch": 2.52, + "learning_rate": 6.632972704100349e-06, + "loss": 0.2881, + "step": 1962 + }, + { + "epoch": 2.52, + "learning_rate": 6.6130197026306945e-06, + "loss": 0.2877, + "step": 1964 + }, + { + "epoch": 2.52, + "learning_rate": 6.59308192120286e-06, + "loss": 0.2955, + "step": 1966 + }, + { + "epoch": 2.52, + "learning_rate": 6.573159449411071e-06, + "loss": 0.2739, + "step": 1968 + }, + { + "epoch": 2.53, + "learning_rate": 6.553252376780749e-06, + "loss": 0.2795, + "step": 1970 + }, + { + "epoch": 2.53, + "learning_rate": 6.533360792768122e-06, + "loss": 0.2874, + "step": 1972 + }, + { + "epoch": 2.53, + "learning_rate": 6.513484786759818e-06, + "loss": 0.2883, + "step": 1974 + }, + { + "epoch": 2.53, + "learning_rate": 6.4936244480724575e-06, + "loss": 0.2895, + "step": 1976 + }, + { + "epoch": 2.54, + "learning_rate": 6.473779865952263e-06, + "loss": 0.2929, + "step": 1978 + }, + { + "epoch": 2.54, + "learning_rate": 6.453951129574644e-06, + "loss": 0.2896, + "step": 1980 + }, + { + "epoch": 2.54, + "learning_rate": 6.434138328043815e-06, + "loss": 0.2796, + "step": 1982 + }, + { + "epoch": 2.54, + "learning_rate": 6.4143415503923676e-06, + "loss": 0.2947, + "step": 1984 + }, + { + "epoch": 2.55, + "learning_rate": 6.39456088558091e-06, + "loss": 0.2776, + "step": 1986 + }, + { + "epoch": 2.55, + "learning_rate": 6.374796422497622e-06, + "loss": 0.2864, + "step": 1988 + }, + { + "epoch": 2.55, + "learning_rate": 6.355048249957887e-06, + "loss": 0.2671, + "step": 1990 + }, + { + "epoch": 2.55, + "learning_rate": 6.335316456703891e-06, + "loss": 0.292, + "step": 1992 + }, + { + "epoch": 2.56, + "learning_rate": 6.315601131404201e-06, + "loss": 0.2857, + "step": 1994 + }, + { + "epoch": 2.56, + "learning_rate": 6.295902362653401e-06, + "loss": 0.284, + "step": 1996 + }, + { + "epoch": 2.56, + "learning_rate": 6.276220238971653e-06, + "loss": 0.2903, + "step": 1998 + }, + { + "epoch": 2.56, + "learning_rate": 6.256554848804343e-06, + "loss": 0.2727, + "step": 2000 + }, + { + "epoch": 2.57, + "learning_rate": 6.236906280521646e-06, + "loss": 0.2874, + "step": 2002 + }, + { + "epoch": 2.57, + "learning_rate": 6.2172746224181524e-06, + "loss": 0.2713, + "step": 2004 + }, + { + "epoch": 2.57, + "learning_rate": 6.197659962712461e-06, + "loss": 0.2758, + "step": 2006 + }, + { + "epoch": 2.57, + "learning_rate": 6.178062389546784e-06, + "loss": 0.2754, + "step": 2008 + }, + { + "epoch": 2.58, + "learning_rate": 6.158481990986558e-06, + "loss": 0.2708, + "step": 2010 + }, + { + "epoch": 2.58, + "learning_rate": 6.138918855020028e-06, + "loss": 0.2837, + "step": 2012 + }, + { + "epoch": 2.58, + "learning_rate": 6.119373069557889e-06, + "loss": 0.2761, + "step": 2014 + }, + { + "epoch": 2.58, + "learning_rate": 6.099844722432844e-06, + "loss": 0.267, + "step": 2016 + }, + { + "epoch": 2.59, + "learning_rate": 6.080333901399252e-06, + "loss": 0.2831, + "step": 2018 + }, + { + "epoch": 2.59, + "learning_rate": 6.060840694132701e-06, + "loss": 0.2714, + "step": 2020 + }, + { + "epoch": 2.59, + "learning_rate": 6.041365188229641e-06, + "loss": 0.28, + "step": 2022 + }, + { + "epoch": 2.59, + "learning_rate": 6.021907471206971e-06, + "loss": 0.2567, + "step": 2024 + }, + { + "epoch": 2.6, + "learning_rate": 6.002467630501646e-06, + "loss": 0.2911, + "step": 2026 + }, + { + "epoch": 2.6, + "learning_rate": 5.983045753470308e-06, + "loss": 0.2929, + "step": 2028 + }, + { + "epoch": 2.6, + "learning_rate": 5.963641927388854e-06, + "loss": 0.2825, + "step": 2030 + }, + { + "epoch": 2.61, + "learning_rate": 5.944256239452085e-06, + "loss": 0.2765, + "step": 2032 + }, + { + "epoch": 2.61, + "learning_rate": 5.924888776773281e-06, + "loss": 0.2777, + "step": 2034 + }, + { + "epoch": 2.61, + "learning_rate": 5.905539626383831e-06, + "loss": 0.2886, + "step": 2036 + }, + { + "epoch": 2.61, + "learning_rate": 5.886208875232833e-06, + "loss": 0.2633, + "step": 2038 + }, + { + "epoch": 2.62, + "learning_rate": 5.866896610186701e-06, + "loss": 0.2765, + "step": 2040 + }, + { + "epoch": 2.62, + "learning_rate": 5.847602918028785e-06, + "loss": 0.2805, + "step": 2042 + }, + { + "epoch": 2.62, + "learning_rate": 5.82832788545896e-06, + "loss": 0.275, + "step": 2044 + }, + { + "epoch": 2.62, + "learning_rate": 5.809071599093272e-06, + "loss": 0.2917, + "step": 2046 + }, + { + "epoch": 2.63, + "learning_rate": 5.789834145463506e-06, + "loss": 0.2831, + "step": 2048 + }, + { + "epoch": 2.63, + "learning_rate": 5.7706156110168384e-06, + "loss": 0.2996, + "step": 2050 + }, + { + "epoch": 2.63, + "learning_rate": 5.7514160821154085e-06, + "loss": 0.2871, + "step": 2052 + }, + { + "epoch": 2.63, + "learning_rate": 5.732235645035964e-06, + "loss": 0.2763, + "step": 2054 + }, + { + "epoch": 2.64, + "learning_rate": 5.713074385969457e-06, + "loss": 0.2852, + "step": 2056 + }, + { + "epoch": 2.64, + "learning_rate": 5.693932391020664e-06, + "loss": 0.2823, + "step": 2058 + }, + { + "epoch": 2.64, + "learning_rate": 5.67480974620778e-06, + "loss": 0.2793, + "step": 2060 + }, + { + "epoch": 2.64, + "learning_rate": 5.65570653746206e-06, + "loss": 0.2825, + "step": 2062 + }, + { + "epoch": 2.65, + "learning_rate": 5.63662285062742e-06, + "loss": 0.2792, + "step": 2064 + }, + { + "epoch": 2.65, + "learning_rate": 5.617558771460039e-06, + "loss": 0.2879, + "step": 2066 + }, + { + "epoch": 2.65, + "learning_rate": 5.598514385627997e-06, + "loss": 0.2845, + "step": 2068 + }, + { + "epoch": 2.65, + "learning_rate": 5.579489778710867e-06, + "loss": 0.2784, + "step": 2070 + }, + { + "epoch": 2.66, + "learning_rate": 5.56048503619935e-06, + "loss": 0.279, + "step": 2072 + }, + { + "epoch": 2.66, + "learning_rate": 5.541500243494889e-06, + "loss": 0.2707, + "step": 2074 + }, + { + "epoch": 2.66, + "learning_rate": 5.522535485909258e-06, + "loss": 0.2837, + "step": 2076 + }, + { + "epoch": 2.66, + "learning_rate": 5.5035908486642195e-06, + "loss": 0.264, + "step": 2078 + }, + { + "epoch": 2.67, + "learning_rate": 5.484666416891109e-06, + "loss": 0.2671, + "step": 2080 + }, + { + "epoch": 2.67, + "learning_rate": 5.465762275630471e-06, + "loss": 0.2794, + "step": 2082 + }, + { + "epoch": 2.67, + "learning_rate": 5.446878509831668e-06, + "loss": 0.2742, + "step": 2084 + }, + { + "epoch": 2.67, + "learning_rate": 5.428015204352508e-06, + "loss": 0.268, + "step": 2086 + }, + { + "epoch": 2.68, + "learning_rate": 5.409172443958844e-06, + "loss": 0.2719, + "step": 2088 + }, + { + "epoch": 2.68, + "learning_rate": 5.390350313324214e-06, + "loss": 0.2547, + "step": 2090 + }, + { + "epoch": 2.68, + "learning_rate": 5.371548897029457e-06, + "loss": 0.294, + "step": 2092 + }, + { + "epoch": 2.68, + "learning_rate": 5.352768279562315e-06, + "loss": 0.2635, + "step": 2094 + }, + { + "epoch": 2.69, + "learning_rate": 5.334008545317082e-06, + "loss": 0.2829, + "step": 2096 + }, + { + "epoch": 2.69, + "learning_rate": 5.315269778594189e-06, + "loss": 0.2619, + "step": 2098 + }, + { + "epoch": 2.69, + "learning_rate": 5.2965520635998676e-06, + "loss": 0.2679, + "step": 2100 + }, + { + "epoch": 2.69, + "learning_rate": 5.277855484445736e-06, + "loss": 0.2649, + "step": 2102 + }, + { + "epoch": 2.7, + "learning_rate": 5.259180125148442e-06, + "loss": 0.2837, + "step": 2104 + }, + { + "epoch": 2.7, + "learning_rate": 5.240526069629265e-06, + "loss": 0.2901, + "step": 2106 + }, + { + "epoch": 2.7, + "learning_rate": 5.22189340171377e-06, + "loss": 0.2852, + "step": 2108 + }, + { + "epoch": 2.71, + "learning_rate": 5.203282205131395e-06, + "loss": 0.2878, + "step": 2110 + }, + { + "epoch": 2.71, + "learning_rate": 5.184692563515104e-06, + "loss": 0.2811, + "step": 2112 + }, + { + "epoch": 2.71, + "learning_rate": 5.166124560401002e-06, + "loss": 0.2644, + "step": 2114 + }, + { + "epoch": 2.71, + "learning_rate": 5.147578279227943e-06, + "loss": 0.2773, + "step": 2116 + }, + { + "epoch": 2.72, + "learning_rate": 5.129053803337181e-06, + "loss": 0.2733, + "step": 2118 + }, + { + "epoch": 2.72, + "learning_rate": 5.110551215971981e-06, + "loss": 0.2809, + "step": 2120 + }, + { + "epoch": 2.72, + "learning_rate": 5.0920706002772525e-06, + "loss": 0.2848, + "step": 2122 + }, + { + "epoch": 2.72, + "learning_rate": 5.073612039299157e-06, + "loss": 0.2946, + "step": 2124 + }, + { + "epoch": 2.73, + "learning_rate": 5.055175615984766e-06, + "loss": 0.2686, + "step": 2126 + }, + { + "epoch": 2.73, + "learning_rate": 5.036761413181659e-06, + "loss": 0.2877, + "step": 2128 + }, + { + "epoch": 2.73, + "learning_rate": 5.018369513637567e-06, + "loss": 0.2693, + "step": 2130 + }, + { + "epoch": 2.73, + "learning_rate": 5.000000000000003e-06, + "loss": 0.263, + "step": 2132 + }, + { + "epoch": 2.74, + "learning_rate": 4.981652954815871e-06, + "loss": 0.2569, + "step": 2134 + }, + { + "epoch": 2.74, + "learning_rate": 4.963328460531127e-06, + "loss": 0.2827, + "step": 2136 + }, + { + "epoch": 2.74, + "learning_rate": 4.9450265994903666e-06, + "loss": 0.2666, + "step": 2138 + }, + { + "epoch": 2.74, + "learning_rate": 4.926747453936509e-06, + "loss": 0.2729, + "step": 2140 + }, + { + "epoch": 2.75, + "learning_rate": 4.908491106010368e-06, + "loss": 0.2886, + "step": 2142 + }, + { + "epoch": 2.75, + "learning_rate": 4.890257637750332e-06, + "loss": 0.2792, + "step": 2144 + }, + { + "epoch": 2.75, + "learning_rate": 4.872047131091961e-06, + "loss": 0.2821, + "step": 2146 + }, + { + "epoch": 2.75, + "learning_rate": 4.853859667867641e-06, + "loss": 0.2768, + "step": 2148 + }, + { + "epoch": 2.76, + "learning_rate": 4.8356953298062115e-06, + "loss": 0.2915, + "step": 2150 + }, + { + "epoch": 2.76, + "learning_rate": 4.817554198532582e-06, + "loss": 0.2761, + "step": 2152 + }, + { + "epoch": 2.76, + "learning_rate": 4.799436355567391e-06, + "loss": 0.2864, + "step": 2154 + }, + { + "epoch": 2.76, + "learning_rate": 4.781341882326615e-06, + "loss": 0.2785, + "step": 2156 + }, + { + "epoch": 2.77, + "learning_rate": 4.763270860121222e-06, + "loss": 0.2914, + "step": 2158 + }, + { + "epoch": 2.77, + "learning_rate": 4.745223370156797e-06, + "loss": 0.2718, + "step": 2160 + }, + { + "epoch": 2.77, + "learning_rate": 4.727199493533181e-06, + "loss": 0.276, + "step": 2162 + }, + { + "epoch": 2.77, + "learning_rate": 4.709199311244098e-06, + "loss": 0.2768, + "step": 2164 + }, + { + "epoch": 2.78, + "learning_rate": 4.691222904176791e-06, + "loss": 0.2677, + "step": 2166 + }, + { + "epoch": 2.78, + "learning_rate": 4.673270353111687e-06, + "loss": 0.2644, + "step": 2168 + }, + { + "epoch": 2.78, + "learning_rate": 4.655341738721989e-06, + "loss": 0.2595, + "step": 2170 + }, + { + "epoch": 2.78, + "learning_rate": 4.63743714157335e-06, + "loss": 0.2655, + "step": 2172 + }, + { + "epoch": 2.79, + "learning_rate": 4.619556642123484e-06, + "loss": 0.2844, + "step": 2174 + }, + { + "epoch": 2.79, + "learning_rate": 4.6017003207218294e-06, + "loss": 0.277, + "step": 2176 + }, + { + "epoch": 2.79, + "learning_rate": 4.583868257609171e-06, + "loss": 0.2819, + "step": 2178 + }, + { + "epoch": 2.79, + "learning_rate": 4.566060532917288e-06, + "loss": 0.2544, + "step": 2180 + }, + { + "epoch": 2.8, + "learning_rate": 4.548277226668585e-06, + "loss": 0.2706, + "step": 2182 + }, + { + "epoch": 2.8, + "learning_rate": 4.530518418775734e-06, + "loss": 0.2859, + "step": 2184 + }, + { + "epoch": 2.8, + "learning_rate": 4.512784189041328e-06, + "loss": 0.2814, + "step": 2186 + }, + { + "epoch": 2.81, + "learning_rate": 4.4950746171575135e-06, + "loss": 0.2922, + "step": 2188 + }, + { + "epoch": 2.81, + "learning_rate": 4.477389782705628e-06, + "loss": 0.2624, + "step": 2190 + }, + { + "epoch": 2.81, + "learning_rate": 4.459729765155842e-06, + "loss": 0.2671, + "step": 2192 + }, + { + "epoch": 2.81, + "learning_rate": 4.442094643866817e-06, + "loss": 0.2673, + "step": 2194 + }, + { + "epoch": 2.82, + "learning_rate": 4.424484498085335e-06, + "loss": 0.2757, + "step": 2196 + }, + { + "epoch": 2.82, + "learning_rate": 4.406899406945938e-06, + "loss": 0.2703, + "step": 2198 + }, + { + "epoch": 2.82, + "learning_rate": 4.389339449470592e-06, + "loss": 0.2667, + "step": 2200 + }, + { + "epoch": 2.82, + "learning_rate": 4.371804704568309e-06, + "loss": 0.2826, + "step": 2202 + }, + { + "epoch": 2.83, + "learning_rate": 4.354295251034811e-06, + "loss": 0.2695, + "step": 2204 + }, + { + "epoch": 2.83, + "learning_rate": 4.336811167552167e-06, + "loss": 0.2766, + "step": 2206 + }, + { + "epoch": 2.83, + "learning_rate": 4.319352532688444e-06, + "loss": 0.2765, + "step": 2208 + }, + { + "epoch": 2.83, + "learning_rate": 4.301919424897339e-06, + "loss": 0.2739, + "step": 2210 + }, + { + "epoch": 2.84, + "learning_rate": 4.284511922517853e-06, + "loss": 0.2828, + "step": 2212 + }, + { + "epoch": 2.84, + "learning_rate": 4.267130103773911e-06, + "loss": 0.2632, + "step": 2214 + }, + { + "epoch": 2.84, + "learning_rate": 4.249774046774034e-06, + "loss": 0.2912, + "step": 2216 + }, + { + "epoch": 2.84, + "learning_rate": 4.232443829510977e-06, + "loss": 0.2659, + "step": 2218 + }, + { + "epoch": 2.85, + "learning_rate": 4.2151395298613675e-06, + "loss": 0.2584, + "step": 2220 + }, + { + "epoch": 2.85, + "learning_rate": 4.19786122558538e-06, + "loss": 0.2818, + "step": 2222 + }, + { + "epoch": 2.85, + "learning_rate": 4.180608994326371e-06, + "loss": 0.2446, + "step": 2224 + }, + { + "epoch": 2.85, + "learning_rate": 4.163382913610533e-06, + "loss": 0.2798, + "step": 2226 + }, + { + "epoch": 2.86, + "learning_rate": 4.1461830608465385e-06, + "loss": 0.264, + "step": 2228 + }, + { + "epoch": 2.86, + "learning_rate": 4.129009513325211e-06, + "loss": 0.2681, + "step": 2230 + }, + { + "epoch": 2.86, + "learning_rate": 4.111862348219158e-06, + "loss": 0.2717, + "step": 2232 + }, + { + "epoch": 2.86, + "learning_rate": 4.0947416425824334e-06, + "loss": 0.2645, + "step": 2234 + }, + { + "epoch": 2.87, + "learning_rate": 4.077647473350201e-06, + "loss": 0.2685, + "step": 2236 + }, + { + "epoch": 2.87, + "learning_rate": 4.060579917338362e-06, + "loss": 0.2598, + "step": 2238 + }, + { + "epoch": 2.87, + "learning_rate": 4.04353905124324e-06, + "loss": 0.286, + "step": 2240 + }, + { + "epoch": 2.87, + "learning_rate": 4.026524951641204e-06, + "loss": 0.2704, + "step": 2242 + }, + { + "epoch": 2.88, + "learning_rate": 4.009537694988372e-06, + "loss": 0.2661, + "step": 2244 + }, + { + "epoch": 2.88, + "learning_rate": 3.99257735762021e-06, + "loss": 0.2662, + "step": 2246 + }, + { + "epoch": 2.88, + "learning_rate": 3.975644015751234e-06, + "loss": 0.2635, + "step": 2248 + }, + { + "epoch": 2.88, + "learning_rate": 3.958737745474638e-06, + "loss": 0.2765, + "step": 2250 + }, + { + "epoch": 2.89, + "learning_rate": 3.941858622761975e-06, + "loss": 0.2805, + "step": 2252 + }, + { + "epoch": 2.89, + "learning_rate": 3.925006723462806e-06, + "loss": 0.2895, + "step": 2254 + }, + { + "epoch": 2.89, + "learning_rate": 3.908182123304344e-06, + "loss": 0.2776, + "step": 2256 + }, + { + "epoch": 2.89, + "learning_rate": 3.891384897891148e-06, + "loss": 0.2528, + "step": 2258 + }, + { + "epoch": 2.9, + "learning_rate": 3.8746151227047455e-06, + "loss": 0.2572, + "step": 2260 + }, + { + "epoch": 2.9, + "learning_rate": 3.857872873103322e-06, + "loss": 0.2679, + "step": 2262 + }, + { + "epoch": 2.9, + "learning_rate": 3.84115822432137e-06, + "loss": 0.258, + "step": 2264 + }, + { + "epoch": 2.91, + "learning_rate": 3.824471251469352e-06, + "loss": 0.2815, + "step": 2266 + }, + { + "epoch": 2.91, + "learning_rate": 3.807812029533362e-06, + "loss": 0.2669, + "step": 2268 + }, + { + "epoch": 2.91, + "learning_rate": 3.7911806333747847e-06, + "loss": 0.2831, + "step": 2270 + }, + { + "epoch": 2.91, + "learning_rate": 3.7745771377299758e-06, + "loss": 0.2597, + "step": 2272 + }, + { + "epoch": 2.92, + "learning_rate": 3.7580016172099067e-06, + "loss": 0.2482, + "step": 2274 + }, + { + "epoch": 2.92, + "learning_rate": 3.7414541462998446e-06, + "loss": 0.2715, + "step": 2276 + }, + { + "epoch": 2.92, + "learning_rate": 3.724934799358998e-06, + "loss": 0.2757, + "step": 2278 + }, + { + "epoch": 2.92, + "learning_rate": 3.708443650620206e-06, + "loss": 0.2657, + "step": 2280 + }, + { + "epoch": 2.93, + "learning_rate": 3.691980774189591e-06, + "loss": 0.2694, + "step": 2282 + }, + { + "epoch": 2.93, + "learning_rate": 3.6755462440462288e-06, + "loss": 0.2826, + "step": 2284 + }, + { + "epoch": 2.93, + "learning_rate": 3.659140134041812e-06, + "loss": 0.2612, + "step": 2286 + }, + { + "epoch": 2.93, + "learning_rate": 3.6427625179003223e-06, + "loss": 0.2574, + "step": 2288 + }, + { + "epoch": 2.94, + "learning_rate": 3.626413469217702e-06, + "loss": 0.2723, + "step": 2290 + }, + { + "epoch": 2.94, + "learning_rate": 3.6100930614615204e-06, + "loss": 0.274, + "step": 2292 + }, + { + "epoch": 2.94, + "learning_rate": 3.5938013679706453e-06, + "loss": 0.276, + "step": 2294 + }, + { + "epoch": 2.94, + "learning_rate": 3.5775384619549e-06, + "loss": 0.2547, + "step": 2296 + }, + { + "epoch": 2.95, + "learning_rate": 3.5613044164947617e-06, + "loss": 0.2656, + "step": 2298 + }, + { + "epoch": 2.95, + "learning_rate": 3.5450993045409997e-06, + "loss": 0.2686, + "step": 2300 + }, + { + "epoch": 2.95, + "learning_rate": 3.5289231989143868e-06, + "loss": 0.2559, + "step": 2302 + }, + { + "epoch": 2.95, + "learning_rate": 3.5127761723053313e-06, + "loss": 0.2546, + "step": 2304 + }, + { + "epoch": 2.96, + "learning_rate": 3.496658297273574e-06, + "loss": 0.2567, + "step": 2306 + }, + { + "epoch": 2.96, + "learning_rate": 3.4805696462478634e-06, + "loss": 0.2884, + "step": 2308 + }, + { + "epoch": 2.96, + "learning_rate": 3.46451029152562e-06, + "loss": 0.2527, + "step": 2310 + }, + { + "epoch": 2.96, + "learning_rate": 3.448480305272619e-06, + "loss": 0.2686, + "step": 2312 + }, + { + "epoch": 2.97, + "learning_rate": 3.4324797595226567e-06, + "loss": 0.2757, + "step": 2314 + }, + { + "epoch": 2.97, + "learning_rate": 3.41650872617724e-06, + "loss": 0.272, + "step": 2316 + }, + { + "epoch": 2.97, + "learning_rate": 3.400567277005247e-06, + "loss": 0.2606, + "step": 2318 + }, + { + "epoch": 2.97, + "learning_rate": 3.384655483642624e-06, + "loss": 0.2664, + "step": 2320 + }, + { + "epoch": 2.98, + "learning_rate": 3.3687734175920505e-06, + "loss": 0.2516, + "step": 2322 + }, + { + "epoch": 2.98, + "learning_rate": 3.352921150222612e-06, + "loss": 0.2712, + "step": 2324 + }, + { + "epoch": 2.98, + "learning_rate": 3.337098752769503e-06, + "loss": 0.2666, + "step": 2326 + }, + { + "epoch": 2.98, + "learning_rate": 3.321306296333673e-06, + "loss": 0.264, + "step": 2328 + }, + { + "epoch": 2.99, + "learning_rate": 3.3055438518815486e-06, + "loss": 0.2579, + "step": 2330 + }, + { + "epoch": 2.99, + "learning_rate": 3.2898114902446708e-06, + "loss": 0.2589, + "step": 2332 + }, + { + "epoch": 2.99, + "learning_rate": 3.274109282119413e-06, + "loss": 0.2539, + "step": 2334 + }, + { + "epoch": 2.99, + "learning_rate": 3.2584372980666344e-06, + "loss": 0.2508, + "step": 2336 + }, + { + "epoch": 3.0, + "learning_rate": 3.2427956085113875e-06, + "loss": 0.2569, + "step": 2338 + }, + { + "epoch": 3.0, + "learning_rate": 3.2271842837425917e-06, + "loss": 0.2525, + "step": 2340 + }, + { + "epoch": 3.0, + "learning_rate": 3.2116033939127024e-06, + "loss": 0.0771, + "step": 2342 + }, + { + "epoch": 3.01, + "learning_rate": 3.1960530090374277e-06, + "loss": 0.07, + "step": 2344 + }, + { + "epoch": 3.01, + "learning_rate": 3.180533198995379e-06, + "loss": 0.0702, + "step": 2346 + }, + { + "epoch": 3.01, + "learning_rate": 3.165044033527789e-06, + "loss": 0.067, + "step": 2348 + }, + { + "epoch": 3.01, + "learning_rate": 3.1495855822381716e-06, + "loss": 0.0683, + "step": 2350 + }, + { + "epoch": 3.02, + "learning_rate": 3.134157914592032e-06, + "loss": 0.0676, + "step": 2352 + }, + { + "epoch": 3.02, + "learning_rate": 3.1187610999165317e-06, + "loss": 0.0689, + "step": 2354 + }, + { + "epoch": 3.02, + "learning_rate": 3.1033952074001882e-06, + "loss": 0.0745, + "step": 2356 + }, + { + "epoch": 3.02, + "learning_rate": 3.088060306092582e-06, + "loss": 0.0665, + "step": 2358 + }, + { + "epoch": 3.03, + "learning_rate": 3.0727564649040066e-06, + "loss": 0.0704, + "step": 2360 + }, + { + "epoch": 3.03, + "learning_rate": 3.057483752605196e-06, + "loss": 0.0712, + "step": 2362 + }, + { + "epoch": 3.03, + "learning_rate": 3.042242237826991e-06, + "loss": 0.0719, + "step": 2364 + }, + { + "epoch": 3.03, + "learning_rate": 3.0270319890600465e-06, + "loss": 0.0716, + "step": 2366 + }, + { + "epoch": 3.04, + "learning_rate": 3.011853074654515e-06, + "loss": 0.0706, + "step": 2368 + }, + { + "epoch": 3.04, + "learning_rate": 2.996705562819747e-06, + "loss": 0.0726, + "step": 2370 + }, + { + "epoch": 3.04, + "learning_rate": 2.981589521623973e-06, + "loss": 0.0667, + "step": 2372 + }, + { + "epoch": 3.04, + "learning_rate": 2.9665050189940013e-06, + "loss": 0.072, + "step": 2374 + }, + { + "epoch": 3.05, + "learning_rate": 2.951452122714926e-06, + "loss": 0.0643, + "step": 2376 + }, + { + "epoch": 3.05, + "learning_rate": 2.936430900429805e-06, + "loss": 0.0729, + "step": 2378 + }, + { + "epoch": 3.05, + "learning_rate": 2.9214414196393702e-06, + "loss": 0.0707, + "step": 2380 + }, + { + "epoch": 3.05, + "learning_rate": 2.906483747701705e-06, + "loss": 0.076, + "step": 2382 + }, + { + "epoch": 3.06, + "learning_rate": 2.8915579518319626e-06, + "loss": 0.0693, + "step": 2384 + }, + { + "epoch": 3.06, + "learning_rate": 2.8766640991020533e-06, + "loss": 0.0642, + "step": 2386 + }, + { + "epoch": 3.06, + "learning_rate": 2.861802256440348e-06, + "loss": 0.069, + "step": 2388 + }, + { + "epoch": 3.06, + "learning_rate": 2.8469724906313677e-06, + "loss": 0.0657, + "step": 2390 + }, + { + "epoch": 3.07, + "learning_rate": 2.8321748683154893e-06, + "loss": 0.071, + "step": 2392 + }, + { + "epoch": 3.07, + "learning_rate": 2.8174094559886535e-06, + "loss": 0.0672, + "step": 2394 + }, + { + "epoch": 3.07, + "learning_rate": 2.8026763200020557e-06, + "loss": 0.0701, + "step": 2396 + }, + { + "epoch": 3.07, + "learning_rate": 2.7879755265618558e-06, + "loss": 0.0659, + "step": 2398 + }, + { + "epoch": 3.08, + "learning_rate": 2.773307141728867e-06, + "loss": 0.064, + "step": 2400 + }, + { + "epoch": 3.08, + "learning_rate": 2.7586712314182775e-06, + "loss": 0.0673, + "step": 2402 + }, + { + "epoch": 3.08, + "learning_rate": 2.744067861399333e-06, + "loss": 0.0718, + "step": 2404 + }, + { + "epoch": 3.08, + "learning_rate": 2.729497097295075e-06, + "loss": 0.0704, + "step": 2406 + }, + { + "epoch": 3.09, + "learning_rate": 2.714959004582003e-06, + "loss": 0.0666, + "step": 2408 + }, + { + "epoch": 3.09, + "learning_rate": 2.700453648589805e-06, + "loss": 0.0639, + "step": 2410 + }, + { + "epoch": 3.09, + "learning_rate": 2.6859810945010687e-06, + "loss": 0.0678, + "step": 2412 + }, + { + "epoch": 3.09, + "learning_rate": 2.671541407350975e-06, + "loss": 0.0748, + "step": 2414 + }, + { + "epoch": 3.1, + "learning_rate": 2.6571346520270147e-06, + "loss": 0.0742, + "step": 2416 + }, + { + "epoch": 3.1, + "learning_rate": 2.642760893268684e-06, + "loss": 0.0655, + "step": 2418 + }, + { + "epoch": 3.1, + "learning_rate": 2.628420195667214e-06, + "loss": 0.0666, + "step": 2420 + }, + { + "epoch": 3.11, + "learning_rate": 2.614112623665259e-06, + "loss": 0.067, + "step": 2422 + }, + { + "epoch": 3.11, + "learning_rate": 2.5998382415566258e-06, + "loss": 0.0642, + "step": 2424 + }, + { + "epoch": 3.11, + "learning_rate": 2.5855971134859736e-06, + "loss": 0.0656, + "step": 2426 + }, + { + "epoch": 3.11, + "learning_rate": 2.5713893034485216e-06, + "loss": 0.0677, + "step": 2428 + }, + { + "epoch": 3.12, + "learning_rate": 2.55721487528978e-06, + "loss": 0.0719, + "step": 2430 + }, + { + "epoch": 3.12, + "learning_rate": 2.5430738927052346e-06, + "loss": 0.0746, + "step": 2432 + }, + { + "epoch": 3.12, + "learning_rate": 2.5289664192400996e-06, + "loss": 0.0657, + "step": 2434 + }, + { + "epoch": 3.12, + "learning_rate": 2.514892518288988e-06, + "loss": 0.0662, + "step": 2436 + }, + { + "epoch": 3.13, + "learning_rate": 2.5008522530956647e-06, + "loss": 0.0666, + "step": 2438 + }, + { + "epoch": 3.13, + "learning_rate": 2.4868456867527315e-06, + "loss": 0.062, + "step": 2440 + }, + { + "epoch": 3.13, + "learning_rate": 2.4728728822013683e-06, + "loss": 0.0654, + "step": 2442 + }, + { + "epoch": 3.13, + "learning_rate": 2.4589339022310386e-06, + "loss": 0.0723, + "step": 2444 + }, + { + "epoch": 3.14, + "learning_rate": 2.445028809479203e-06, + "loss": 0.0644, + "step": 2446 + }, + { + "epoch": 3.14, + "learning_rate": 2.431157666431052e-06, + "loss": 0.0642, + "step": 2448 + }, + { + "epoch": 3.14, + "learning_rate": 2.4173205354192065e-06, + "loss": 0.0708, + "step": 2450 + }, + { + "epoch": 3.14, + "learning_rate": 2.403517478623456e-06, + "loss": 0.0626, + "step": 2452 + }, + { + "epoch": 3.15, + "learning_rate": 2.3897485580704684e-06, + "loss": 0.0689, + "step": 2454 + }, + { + "epoch": 3.15, + "learning_rate": 2.3760138356335172e-06, + "loss": 0.0727, + "step": 2456 + }, + { + "epoch": 3.15, + "learning_rate": 2.3623133730321923e-06, + "loss": 0.0725, + "step": 2458 + }, + { + "epoch": 3.15, + "learning_rate": 2.348647231832131e-06, + "loss": 0.0628, + "step": 2460 + }, + { + "epoch": 3.16, + "learning_rate": 2.335015473444754e-06, + "loss": 0.0675, + "step": 2462 + }, + { + "epoch": 3.16, + "learning_rate": 2.3214181591269603e-06, + "loss": 0.0599, + "step": 2464 + }, + { + "epoch": 3.16, + "learning_rate": 2.30785534998088e-06, + "loss": 0.0657, + "step": 2466 + }, + { + "epoch": 3.16, + "learning_rate": 2.2943271069535754e-06, + "loss": 0.0655, + "step": 2468 + }, + { + "epoch": 3.17, + "learning_rate": 2.2808334908367914e-06, + "loss": 0.0636, + "step": 2470 + }, + { + "epoch": 3.17, + "learning_rate": 2.267374562266662e-06, + "loss": 0.0728, + "step": 2472 + }, + { + "epoch": 3.17, + "learning_rate": 2.2539503817234553e-06, + "loss": 0.0705, + "step": 2474 + }, + { + "epoch": 3.17, + "learning_rate": 2.240561009531281e-06, + "loss": 0.0623, + "step": 2476 + }, + { + "epoch": 3.18, + "learning_rate": 2.227206505857834e-06, + "loss": 0.0663, + "step": 2478 + }, + { + "epoch": 3.18, + "learning_rate": 2.2138869307141266e-06, + "loss": 0.0638, + "step": 2480 + }, + { + "epoch": 3.18, + "learning_rate": 2.200602343954209e-06, + "loss": 0.0695, + "step": 2482 + }, + { + "epoch": 3.18, + "learning_rate": 2.1873528052749094e-06, + "loss": 0.0625, + "step": 2484 + }, + { + "epoch": 3.19, + "learning_rate": 2.1741383742155476e-06, + "loss": 0.0649, + "step": 2486 + }, + { + "epoch": 3.19, + "learning_rate": 2.1609591101576945e-06, + "loss": 0.0636, + "step": 2488 + }, + { + "epoch": 3.19, + "learning_rate": 2.147815072324886e-06, + "loss": 0.0647, + "step": 2490 + }, + { + "epoch": 3.19, + "learning_rate": 2.1347063197823648e-06, + "loss": 0.0686, + "step": 2492 + }, + { + "epoch": 3.2, + "learning_rate": 2.1216329114368083e-06, + "loss": 0.0639, + "step": 2494 + }, + { + "epoch": 3.2, + "learning_rate": 2.1085949060360654e-06, + "loss": 0.0707, + "step": 2496 + }, + { + "epoch": 3.2, + "learning_rate": 2.0955923621689034e-06, + "loss": 0.0652, + "step": 2498 + }, + { + "epoch": 3.21, + "learning_rate": 2.0826253382647334e-06, + "loss": 0.0685, + "step": 2500 + }, + { + "epoch": 3.21, + "learning_rate": 2.0696938925933505e-06, + "loss": 0.0694, + "step": 2502 + }, + { + "epoch": 3.21, + "learning_rate": 2.056798083264667e-06, + "loss": 0.0599, + "step": 2504 + }, + { + "epoch": 3.21, + "learning_rate": 2.0439379682284686e-06, + "loss": 0.068, + "step": 2506 + }, + { + "epoch": 3.22, + "learning_rate": 2.0311136052741274e-06, + "loss": 0.069, + "step": 2508 + }, + { + "epoch": 3.22, + "learning_rate": 2.0183250520303653e-06, + "loss": 0.0658, + "step": 2510 + }, + { + "epoch": 3.22, + "learning_rate": 2.0055723659649907e-06, + "loss": 0.06, + "step": 2512 + }, + { + "epoch": 3.22, + "learning_rate": 1.9928556043846215e-06, + "loss": 0.069, + "step": 2514 + }, + { + "epoch": 3.23, + "learning_rate": 1.9801748244344587e-06, + "loss": 0.0642, + "step": 2516 + }, + { + "epoch": 3.23, + "learning_rate": 1.967530083097996e-06, + "loss": 0.0663, + "step": 2518 + }, + { + "epoch": 3.23, + "learning_rate": 1.9549214371968008e-06, + "loss": 0.0648, + "step": 2520 + }, + { + "epoch": 3.23, + "learning_rate": 1.9423489433902186e-06, + "loss": 0.0635, + "step": 2522 + }, + { + "epoch": 3.24, + "learning_rate": 1.9298126581751542e-06, + "loss": 0.0646, + "step": 2524 + }, + { + "epoch": 3.24, + "learning_rate": 1.917312637885791e-06, + "loss": 0.0631, + "step": 2526 + }, + { + "epoch": 3.24, + "learning_rate": 1.9048489386933545e-06, + "loss": 0.0711, + "step": 2528 + }, + { + "epoch": 3.24, + "learning_rate": 1.8924216166058574e-06, + "loss": 0.0706, + "step": 2530 + }, + { + "epoch": 3.25, + "learning_rate": 1.8800307274678364e-06, + "loss": 0.0762, + "step": 2532 + }, + { + "epoch": 3.25, + "learning_rate": 1.8676763269601195e-06, + "loss": 0.0664, + "step": 2534 + }, + { + "epoch": 3.25, + "learning_rate": 1.8553584705995564e-06, + "loss": 0.0706, + "step": 2536 + }, + { + "epoch": 3.25, + "learning_rate": 1.8430772137387853e-06, + "loss": 0.0724, + "step": 2538 + }, + { + "epoch": 3.26, + "learning_rate": 1.8308326115659757e-06, + "loss": 0.0627, + "step": 2540 + }, + { + "epoch": 3.26, + "learning_rate": 1.8186247191045857e-06, + "loss": 0.0637, + "step": 2542 + }, + { + "epoch": 3.26, + "learning_rate": 1.8064535912131032e-06, + "loss": 0.0683, + "step": 2544 + }, + { + "epoch": 3.26, + "learning_rate": 1.7943192825848133e-06, + "loss": 0.0602, + "step": 2546 + }, + { + "epoch": 3.27, + "learning_rate": 1.7822218477475496e-06, + "loss": 0.0666, + "step": 2548 + }, + { + "epoch": 3.27, + "learning_rate": 1.7701613410634367e-06, + "loss": 0.0652, + "step": 2550 + }, + { + "epoch": 3.27, + "learning_rate": 1.7581378167286655e-06, + "loss": 0.0683, + "step": 2552 + }, + { + "epoch": 3.27, + "learning_rate": 1.7461513287732313e-06, + "loss": 0.0609, + "step": 2554 + }, + { + "epoch": 3.28, + "learning_rate": 1.7342019310607062e-06, + "loss": 0.0671, + "step": 2556 + }, + { + "epoch": 3.28, + "learning_rate": 1.7222896772879871e-06, + "loss": 0.0625, + "step": 2558 + }, + { + "epoch": 3.28, + "learning_rate": 1.7104146209850591e-06, + "loss": 0.0644, + "step": 2560 + }, + { + "epoch": 3.28, + "learning_rate": 1.6985768155147498e-06, + "loss": 0.0648, + "step": 2562 + }, + { + "epoch": 3.29, + "learning_rate": 1.6867763140724969e-06, + "loss": 0.0604, + "step": 2564 + }, + { + "epoch": 3.29, + "learning_rate": 1.6750131696861016e-06, + "loss": 0.066, + "step": 2566 + }, + { + "epoch": 3.29, + "learning_rate": 1.6632874352154982e-06, + "loss": 0.0657, + "step": 2568 + }, + { + "epoch": 3.29, + "learning_rate": 1.6515991633525118e-06, + "loss": 0.0622, + "step": 2570 + }, + { + "epoch": 3.3, + "learning_rate": 1.6399484066206183e-06, + "loss": 0.0624, + "step": 2572 + }, + { + "epoch": 3.3, + "learning_rate": 1.6283352173747148e-06, + "loss": 0.0648, + "step": 2574 + }, + { + "epoch": 3.3, + "learning_rate": 1.6167596478008817e-06, + "loss": 0.0709, + "step": 2576 + }, + { + "epoch": 3.31, + "learning_rate": 1.6052217499161516e-06, + "loss": 0.064, + "step": 2578 + }, + { + "epoch": 3.31, + "learning_rate": 1.5937215755682667e-06, + "loss": 0.0666, + "step": 2580 + }, + { + "epoch": 3.31, + "learning_rate": 1.5822591764354512e-06, + "loss": 0.0625, + "step": 2582 + }, + { + "epoch": 3.31, + "learning_rate": 1.5708346040261812e-06, + "loss": 0.0667, + "step": 2584 + }, + { + "epoch": 3.32, + "learning_rate": 1.559447909678954e-06, + "loss": 0.068, + "step": 2586 + }, + { + "epoch": 3.32, + "learning_rate": 1.5480991445620541e-06, + "loss": 0.0638, + "step": 2588 + }, + { + "epoch": 3.32, + "learning_rate": 1.5367883596733157e-06, + "loss": 0.0609, + "step": 2590 + }, + { + "epoch": 3.32, + "learning_rate": 1.5255156058399124e-06, + "loss": 0.0697, + "step": 2592 + }, + { + "epoch": 3.33, + "learning_rate": 1.5142809337181063e-06, + "loss": 0.0657, + "step": 2594 + }, + { + "epoch": 3.33, + "learning_rate": 1.5030843937930485e-06, + "loss": 0.0605, + "step": 2596 + }, + { + "epoch": 3.33, + "learning_rate": 1.4919260363785215e-06, + "loss": 0.0645, + "step": 2598 + }, + { + "epoch": 3.33, + "learning_rate": 1.4808059116167306e-06, + "loss": 0.0658, + "step": 2600 + }, + { + "epoch": 3.34, + "learning_rate": 1.4697240694780769e-06, + "loss": 0.0613, + "step": 2602 + }, + { + "epoch": 3.34, + "learning_rate": 1.4586805597609333e-06, + "loss": 0.0725, + "step": 2604 + }, + { + "epoch": 3.34, + "learning_rate": 1.4476754320914187e-06, + "loss": 0.0596, + "step": 2606 + }, + { + "epoch": 3.34, + "learning_rate": 1.4367087359231668e-06, + "loss": 0.0593, + "step": 2608 + }, + { + "epoch": 3.35, + "learning_rate": 1.4257805205371233e-06, + "loss": 0.0668, + "step": 2610 + }, + { + "epoch": 3.35, + "learning_rate": 1.4148908350413048e-06, + "loss": 0.0638, + "step": 2612 + }, + { + "epoch": 3.35, + "learning_rate": 1.4040397283705898e-06, + "loss": 0.0664, + "step": 2614 + }, + { + "epoch": 3.35, + "learning_rate": 1.3932272492864984e-06, + "loss": 0.0646, + "step": 2616 + }, + { + "epoch": 3.36, + "learning_rate": 1.3824534463769633e-06, + "loss": 0.0686, + "step": 2618 + }, + { + "epoch": 3.36, + "learning_rate": 1.3717183680561253e-06, + "loss": 0.0648, + "step": 2620 + }, + { + "epoch": 3.36, + "learning_rate": 1.3610220625641002e-06, + "loss": 0.0663, + "step": 2622 + }, + { + "epoch": 3.36, + "learning_rate": 1.3503645779667852e-06, + "loss": 0.0649, + "step": 2624 + }, + { + "epoch": 3.37, + "learning_rate": 1.339745962155613e-06, + "loss": 0.0692, + "step": 2626 + }, + { + "epoch": 3.37, + "learning_rate": 1.3291662628473634e-06, + "loss": 0.0683, + "step": 2628 + }, + { + "epoch": 3.37, + "learning_rate": 1.3186255275839266e-06, + "loss": 0.0672, + "step": 2630 + }, + { + "epoch": 3.37, + "learning_rate": 1.308123803732111e-06, + "loss": 0.0703, + "step": 2632 + }, + { + "epoch": 3.38, + "learning_rate": 1.2976611384834148e-06, + "loss": 0.0676, + "step": 2634 + }, + { + "epoch": 3.38, + "learning_rate": 1.2872375788538171e-06, + "loss": 0.0636, + "step": 2636 + }, + { + "epoch": 3.38, + "learning_rate": 1.2768531716835754e-06, + "loss": 0.0593, + "step": 2638 + }, + { + "epoch": 3.38, + "learning_rate": 1.266507963636997e-06, + "loss": 0.0661, + "step": 2640 + }, + { + "epoch": 3.39, + "learning_rate": 1.2562020012022512e-06, + "loss": 0.0641, + "step": 2642 + }, + { + "epoch": 3.39, + "learning_rate": 1.2459353306911438e-06, + "loss": 0.0636, + "step": 2644 + }, + { + "epoch": 3.39, + "learning_rate": 1.2357079982389197e-06, + "loss": 0.0609, + "step": 2646 + }, + { + "epoch": 3.39, + "learning_rate": 1.2255200498040432e-06, + "loss": 0.062, + "step": 2648 + }, + { + "epoch": 3.4, + "learning_rate": 1.2153715311680048e-06, + "loss": 0.0593, + "step": 2650 + }, + { + "epoch": 3.4, + "learning_rate": 1.2052624879351105e-06, + "loss": 0.0644, + "step": 2652 + }, + { + "epoch": 3.4, + "learning_rate": 1.1951929655322692e-06, + "loss": 0.0661, + "step": 2654 + }, + { + "epoch": 3.41, + "learning_rate": 1.1851630092088051e-06, + "loss": 0.0655, + "step": 2656 + }, + { + "epoch": 3.41, + "learning_rate": 1.175172664036235e-06, + "loss": 0.0664, + "step": 2658 + }, + { + "epoch": 3.41, + "learning_rate": 1.1652219749080817e-06, + "loss": 0.0662, + "step": 2660 + }, + { + "epoch": 3.41, + "learning_rate": 1.155310986539665e-06, + "loss": 0.0655, + "step": 2662 + }, + { + "epoch": 3.42, + "learning_rate": 1.1454397434679022e-06, + "loss": 0.0603, + "step": 2664 + }, + { + "epoch": 3.42, + "learning_rate": 1.1356082900511023e-06, + "loss": 0.067, + "step": 2666 + }, + { + "epoch": 3.42, + "learning_rate": 1.12581667046878e-06, + "loss": 0.0625, + "step": 2668 + }, + { + "epoch": 3.42, + "learning_rate": 1.116064928721442e-06, + "loss": 0.0593, + "step": 2670 + }, + { + "epoch": 3.43, + "learning_rate": 1.1063531086304003e-06, + "loss": 0.0659, + "step": 2672 + }, + { + "epoch": 3.43, + "learning_rate": 1.0966812538375738e-06, + "loss": 0.0647, + "step": 2674 + }, + { + "epoch": 3.43, + "learning_rate": 1.0870494078052796e-06, + "loss": 0.0606, + "step": 2676 + }, + { + "epoch": 3.43, + "learning_rate": 1.0774576138160596e-06, + "loss": 0.0612, + "step": 2678 + }, + { + "epoch": 3.44, + "learning_rate": 1.067905914972468e-06, + "loss": 0.0671, + "step": 2680 + }, + { + "epoch": 3.44, + "learning_rate": 1.0583943541968856e-06, + "loss": 0.0697, + "step": 2682 + }, + { + "epoch": 3.44, + "learning_rate": 1.0489229742313223e-06, + "loss": 0.0685, + "step": 2684 + }, + { + "epoch": 3.44, + "learning_rate": 1.0394918176372327e-06, + "loss": 0.0656, + "step": 2686 + }, + { + "epoch": 3.45, + "learning_rate": 1.0301009267953145e-06, + "loss": 0.0686, + "step": 2688 + }, + { + "epoch": 3.45, + "learning_rate": 1.0207503439053279e-06, + "loss": 0.0602, + "step": 2690 + }, + { + "epoch": 3.45, + "learning_rate": 1.0114401109859019e-06, + "loss": 0.0577, + "step": 2692 + }, + { + "epoch": 3.45, + "learning_rate": 1.0021702698743408e-06, + "loss": 0.057, + "step": 2694 + }, + { + "epoch": 3.46, + "learning_rate": 9.929408622264448e-07, + "loss": 0.0681, + "step": 2696 + }, + { + "epoch": 3.46, + "learning_rate": 9.837519295163155e-07, + "loss": 0.0615, + "step": 2698 + }, + { + "epoch": 3.46, + "learning_rate": 9.746035130361741e-07, + "loss": 0.0603, + "step": 2700 + }, + { + "epoch": 3.46, + "learning_rate": 9.65495653896179e-07, + "loss": 0.0601, + "step": 2702 + }, + { + "epoch": 3.47, + "learning_rate": 9.564283930242258e-07, + "loss": 0.0594, + "step": 2704 + }, + { + "epoch": 3.47, + "learning_rate": 9.474017711657835e-07, + "loss": 0.0585, + "step": 2706 + }, + { + "epoch": 3.47, + "learning_rate": 9.384158288836987e-07, + "loss": 0.0617, + "step": 2708 + }, + { + "epoch": 3.47, + "learning_rate": 9.294706065580172e-07, + "loss": 0.0601, + "step": 2710 + }, + { + "epoch": 3.48, + "learning_rate": 9.205661443857994e-07, + "loss": 0.0729, + "step": 2712 + }, + { + "epoch": 3.48, + "learning_rate": 9.117024823809462e-07, + "loss": 0.0626, + "step": 2714 + }, + { + "epoch": 3.48, + "learning_rate": 9.028796603740097e-07, + "loss": 0.0644, + "step": 2716 + }, + { + "epoch": 3.48, + "learning_rate": 8.940977180120247e-07, + "loss": 0.0556, + "step": 2718 + }, + { + "epoch": 3.49, + "learning_rate": 8.853566947583259e-07, + "loss": 0.0648, + "step": 2720 + }, + { + "epoch": 3.49, + "learning_rate": 8.766566298923651e-07, + "loss": 0.061, + "step": 2722 + }, + { + "epoch": 3.49, + "learning_rate": 8.67997562509546e-07, + "loss": 0.0605, + "step": 2724 + }, + { + "epoch": 3.49, + "learning_rate": 8.593795315210341e-07, + "loss": 0.0638, + "step": 2726 + }, + { + "epoch": 3.5, + "learning_rate": 8.508025756535987e-07, + "loss": 0.0634, + "step": 2728 + }, + { + "epoch": 3.5, + "learning_rate": 8.42266733449425e-07, + "loss": 0.0634, + "step": 2730 + }, + { + "epoch": 3.5, + "learning_rate": 8.337720432659513e-07, + "loss": 0.0606, + "step": 2732 + }, + { + "epoch": 3.51, + "learning_rate": 8.253185432756816e-07, + "loss": 0.0611, + "step": 2734 + }, + { + "epoch": 3.51, + "learning_rate": 8.169062714660347e-07, + "loss": 0.0572, + "step": 2736 + }, + { + "epoch": 3.51, + "learning_rate": 8.085352656391576e-07, + "loss": 0.0656, + "step": 2738 + }, + { + "epoch": 3.51, + "learning_rate": 8.002055634117578e-07, + "loss": 0.0612, + "step": 2740 + }, + { + "epoch": 3.52, + "learning_rate": 7.919172022149458e-07, + "loss": 0.0684, + "step": 2742 + }, + { + "epoch": 3.52, + "learning_rate": 7.836702192940493e-07, + "loss": 0.0687, + "step": 2744 + }, + { + "epoch": 3.52, + "learning_rate": 7.754646517084585e-07, + "loss": 0.0661, + "step": 2746 + }, + { + "epoch": 3.52, + "learning_rate": 7.673005363314578e-07, + "loss": 0.0593, + "step": 2748 + }, + { + "epoch": 3.53, + "learning_rate": 7.591779098500584e-07, + "loss": 0.0681, + "step": 2750 + }, + { + "epoch": 3.53, + "learning_rate": 7.510968087648262e-07, + "loss": 0.0604, + "step": 2752 + }, + { + "epoch": 3.53, + "learning_rate": 7.430572693897342e-07, + "loss": 0.0629, + "step": 2754 + }, + { + "epoch": 3.53, + "learning_rate": 7.350593278519824e-07, + "loss": 0.0612, + "step": 2756 + }, + { + "epoch": 3.54, + "learning_rate": 7.271030200918483e-07, + "loss": 0.0646, + "step": 2758 + }, + { + "epoch": 3.54, + "learning_rate": 7.19188381862519e-07, + "loss": 0.0655, + "step": 2760 + }, + { + "epoch": 3.54, + "learning_rate": 7.113154487299267e-07, + "loss": 0.0684, + "step": 2762 + }, + { + "epoch": 3.54, + "learning_rate": 7.034842560726008e-07, + "loss": 0.0643, + "step": 2764 + }, + { + "epoch": 3.55, + "learning_rate": 6.956948390814977e-07, + "loss": 0.0602, + "step": 2766 + }, + { + "epoch": 3.55, + "learning_rate": 6.879472327598502e-07, + "loss": 0.0622, + "step": 2768 + }, + { + "epoch": 3.55, + "learning_rate": 6.802414719230021e-07, + "loss": 0.0583, + "step": 2770 + }, + { + "epoch": 3.55, + "learning_rate": 6.725775911982602e-07, + "loss": 0.0614, + "step": 2772 + }, + { + "epoch": 3.56, + "learning_rate": 6.649556250247325e-07, + "loss": 0.0589, + "step": 2774 + }, + { + "epoch": 3.56, + "learning_rate": 6.573756076531779e-07, + "loss": 0.063, + "step": 2776 + }, + { + "epoch": 3.56, + "learning_rate": 6.498375731458529e-07, + "loss": 0.0681, + "step": 2778 + }, + { + "epoch": 3.56, + "learning_rate": 6.423415553763479e-07, + "loss": 0.0656, + "step": 2780 + }, + { + "epoch": 3.57, + "learning_rate": 6.348875880294536e-07, + "loss": 0.0608, + "step": 2782 + }, + { + "epoch": 3.57, + "learning_rate": 6.274757046009871e-07, + "loss": 0.0644, + "step": 2784 + }, + { + "epoch": 3.57, + "learning_rate": 6.201059383976671e-07, + "loss": 0.062, + "step": 2786 + }, + { + "epoch": 3.57, + "learning_rate": 6.127783225369377e-07, + "loss": 0.0624, + "step": 2788 + }, + { + "epoch": 3.58, + "learning_rate": 6.054928899468427e-07, + "loss": 0.0683, + "step": 2790 + }, + { + "epoch": 3.58, + "learning_rate": 5.982496733658582e-07, + "loss": 0.0612, + "step": 2792 + }, + { + "epoch": 3.58, + "learning_rate": 5.910487053427616e-07, + "loss": 0.0636, + "step": 2794 + }, + { + "epoch": 3.58, + "learning_rate": 5.83890018236476e-07, + "loss": 0.0633, + "step": 2796 + }, + { + "epoch": 3.59, + "learning_rate": 5.767736442159256e-07, + "loss": 0.0677, + "step": 2798 + }, + { + "epoch": 3.59, + "learning_rate": 5.696996152598966e-07, + "loss": 0.0719, + "step": 2800 + }, + { + "epoch": 3.59, + "learning_rate": 5.626679631568832e-07, + "loss": 0.0622, + "step": 2802 + }, + { + "epoch": 3.59, + "learning_rate": 5.556787195049573e-07, + "loss": 0.0618, + "step": 2804 + }, + { + "epoch": 3.6, + "learning_rate": 5.487319157116178e-07, + "loss": 0.0565, + "step": 2806 + }, + { + "epoch": 3.6, + "learning_rate": 5.418275829936537e-07, + "loss": 0.0627, + "step": 2808 + }, + { + "epoch": 3.6, + "learning_rate": 5.349657523769991e-07, + "loss": 0.0613, + "step": 2810 + }, + { + "epoch": 3.61, + "learning_rate": 5.281464546965953e-07, + "loss": 0.0629, + "step": 2812 + }, + { + "epoch": 3.61, + "learning_rate": 5.213697205962631e-07, + "loss": 0.0654, + "step": 2814 + }, + { + "epoch": 3.61, + "learning_rate": 5.146355805285452e-07, + "loss": 0.0647, + "step": 2816 + }, + { + "epoch": 3.61, + "learning_rate": 5.079440647545852e-07, + "loss": 0.0614, + "step": 2818 + }, + { + "epoch": 3.62, + "learning_rate": 5.012952033439844e-07, + "loss": 0.0665, + "step": 2820 + }, + { + "epoch": 3.62, + "learning_rate": 4.946890261746706e-07, + "loss": 0.0604, + "step": 2822 + }, + { + "epoch": 3.62, + "learning_rate": 4.881255629327608e-07, + "loss": 0.059, + "step": 2824 + }, + { + "epoch": 3.62, + "learning_rate": 4.816048431124265e-07, + "loss": 0.0611, + "step": 2826 + }, + { + "epoch": 3.63, + "learning_rate": 4.7512689601576843e-07, + "loss": 0.0652, + "step": 2828 + }, + { + "epoch": 3.63, + "learning_rate": 4.686917507526756e-07, + "loss": 0.0571, + "step": 2830 + }, + { + "epoch": 3.63, + "learning_rate": 4.6229943624069963e-07, + "loss": 0.0646, + "step": 2832 + }, + { + "epoch": 3.63, + "learning_rate": 4.5594998120492505e-07, + "loss": 0.0661, + "step": 2834 + }, + { + "epoch": 3.64, + "learning_rate": 4.4964341417784165e-07, + "loss": 0.0599, + "step": 2836 + }, + { + "epoch": 3.64, + "learning_rate": 4.4337976349920763e-07, + "loss": 0.0572, + "step": 2838 + }, + { + "epoch": 3.64, + "learning_rate": 4.3715905731593233e-07, + "loss": 0.0626, + "step": 2840 + }, + { + "epoch": 3.64, + "learning_rate": 4.309813235819471e-07, + "loss": 0.0606, + "step": 2842 + }, + { + "epoch": 3.65, + "learning_rate": 4.248465900580734e-07, + "loss": 0.0625, + "step": 2844 + }, + { + "epoch": 3.65, + "learning_rate": 4.1875488431190934e-07, + "loss": 0.0604, + "step": 2846 + }, + { + "epoch": 3.65, + "learning_rate": 4.127062337176935e-07, + "loss": 0.0603, + "step": 2848 + }, + { + "epoch": 3.65, + "learning_rate": 4.0670066545619224e-07, + "loss": 0.0656, + "step": 2850 + }, + { + "epoch": 3.66, + "learning_rate": 4.0073820651457043e-07, + "loss": 0.0622, + "step": 2852 + }, + { + "epoch": 3.66, + "learning_rate": 3.9481888368627764e-07, + "loss": 0.058, + "step": 2854 + }, + { + "epoch": 3.66, + "learning_rate": 3.889427235709153e-07, + "loss": 0.0585, + "step": 2856 + }, + { + "epoch": 3.66, + "learning_rate": 3.8310975257413343e-07, + "loss": 0.0724, + "step": 2858 + }, + { + "epoch": 3.67, + "learning_rate": 3.773199969074959e-07, + "loss": 0.0646, + "step": 2860 + }, + { + "epoch": 3.67, + "learning_rate": 3.715734825883766e-07, + "loss": 0.0654, + "step": 2862 + }, + { + "epoch": 3.67, + "learning_rate": 3.658702354398325e-07, + "loss": 0.0578, + "step": 2864 + }, + { + "epoch": 3.67, + "learning_rate": 3.6021028109049063e-07, + "loss": 0.0563, + "step": 2866 + }, + { + "epoch": 3.68, + "learning_rate": 3.5459364497443696e-07, + "loss": 0.0569, + "step": 2868 + }, + { + "epoch": 3.68, + "learning_rate": 3.4902035233109644e-07, + "loss": 0.0643, + "step": 2870 + }, + { + "epoch": 3.68, + "learning_rate": 3.4349042820512325e-07, + "loss": 0.0567, + "step": 2872 + }, + { + "epoch": 3.68, + "learning_rate": 3.38003897446284e-07, + "loss": 0.0527, + "step": 2874 + }, + { + "epoch": 3.69, + "learning_rate": 3.325607847093537e-07, + "loss": 0.0654, + "step": 2876 + }, + { + "epoch": 3.69, + "learning_rate": 3.2716111445399324e-07, + "loss": 0.0652, + "step": 2878 + }, + { + "epoch": 3.69, + "learning_rate": 3.2180491094465414e-07, + "loss": 0.0599, + "step": 2880 + }, + { + "epoch": 3.69, + "learning_rate": 3.164921982504565e-07, + "loss": 0.0641, + "step": 2882 + }, + { + "epoch": 3.7, + "learning_rate": 3.112230002450889e-07, + "loss": 0.0623, + "step": 2884 + }, + { + "epoch": 3.7, + "learning_rate": 3.059973406066963e-07, + "loss": 0.0664, + "step": 2886 + }, + { + "epoch": 3.7, + "learning_rate": 3.0081524281777687e-07, + "loss": 0.0643, + "step": 2888 + }, + { + "epoch": 3.71, + "learning_rate": 2.9567673016507646e-07, + "loss": 0.0628, + "step": 2890 + }, + { + "epoch": 3.71, + "learning_rate": 2.905818257394799e-07, + "loss": 0.067, + "step": 2892 + }, + { + "epoch": 3.71, + "learning_rate": 2.855305524359131e-07, + "loss": 0.0606, + "step": 2894 + }, + { + "epoch": 3.71, + "learning_rate": 2.805229329532344e-07, + "loss": 0.0618, + "step": 2896 + }, + { + "epoch": 3.72, + "learning_rate": 2.7555898979413796e-07, + "loss": 0.0596, + "step": 2898 + }, + { + "epoch": 3.72, + "learning_rate": 2.706387452650494e-07, + "loss": 0.0536, + "step": 2900 + }, + { + "epoch": 3.72, + "learning_rate": 2.657622214760247e-07, + "loss": 0.0576, + "step": 2902 + }, + { + "epoch": 3.72, + "learning_rate": 2.609294403406537e-07, + "loss": 0.0638, + "step": 2904 + }, + { + "epoch": 3.73, + "learning_rate": 2.56140423575959e-07, + "loss": 0.0598, + "step": 2906 + }, + { + "epoch": 3.73, + "learning_rate": 2.513951927023017e-07, + "loss": 0.0587, + "step": 2908 + }, + { + "epoch": 3.73, + "learning_rate": 2.4669376904328244e-07, + "loss": 0.0592, + "step": 2910 + }, + { + "epoch": 3.73, + "learning_rate": 2.420361737256438e-07, + "loss": 0.0592, + "step": 2912 + }, + { + "epoch": 3.74, + "learning_rate": 2.3742242767917921e-07, + "loss": 0.0622, + "step": 2914 + }, + { + "epoch": 3.74, + "learning_rate": 2.3285255163663535e-07, + "loss": 0.0598, + "step": 2916 + }, + { + "epoch": 3.74, + "learning_rate": 2.2832656613362092e-07, + "loss": 0.0542, + "step": 2918 + }, + { + "epoch": 3.74, + "learning_rate": 2.2384449150851695e-07, + "loss": 0.0597, + "step": 2920 + }, + { + "epoch": 3.75, + "learning_rate": 2.1940634790238003e-07, + "loss": 0.0628, + "step": 2922 + }, + { + "epoch": 3.75, + "learning_rate": 2.1501215525885245e-07, + "loss": 0.0574, + "step": 2924 + }, + { + "epoch": 3.75, + "learning_rate": 2.1066193332407891e-07, + "loss": 0.0649, + "step": 2926 + }, + { + "epoch": 3.75, + "learning_rate": 2.063557016466111e-07, + "loss": 0.0595, + "step": 2928 + }, + { + "epoch": 3.76, + "learning_rate": 2.0209347957732328e-07, + "loss": 0.0662, + "step": 2930 + }, + { + "epoch": 3.76, + "learning_rate": 1.978752862693212e-07, + "loss": 0.0571, + "step": 2932 + }, + { + "epoch": 3.76, + "learning_rate": 1.9370114067785995e-07, + "loss": 0.0625, + "step": 2934 + }, + { + "epoch": 3.76, + "learning_rate": 1.8957106156026084e-07, + "loss": 0.064, + "step": 2936 + }, + { + "epoch": 3.77, + "learning_rate": 1.854850674758213e-07, + "loss": 0.0624, + "step": 2938 + }, + { + "epoch": 3.77, + "learning_rate": 1.8144317678573497e-07, + "loss": 0.06, + "step": 2940 + }, + { + "epoch": 3.77, + "learning_rate": 1.7744540765300743e-07, + "loss": 0.0625, + "step": 2942 + }, + { + "epoch": 3.77, + "learning_rate": 1.7349177804237837e-07, + "loss": 0.0622, + "step": 2944 + }, + { + "epoch": 3.78, + "learning_rate": 1.6958230572023504e-07, + "loss": 0.0642, + "step": 2946 + }, + { + "epoch": 3.78, + "learning_rate": 1.6571700825453674e-07, + "loss": 0.061, + "step": 2948 + }, + { + "epoch": 3.78, + "learning_rate": 1.618959030147349e-07, + "loss": 0.0613, + "step": 2950 + }, + { + "epoch": 3.78, + "learning_rate": 1.5811900717169537e-07, + "loss": 0.0646, + "step": 2952 + }, + { + "epoch": 3.79, + "learning_rate": 1.5438633769761845e-07, + "loss": 0.0672, + "step": 2954 + }, + { + "epoch": 3.79, + "learning_rate": 1.506979113659679e-07, + "loss": 0.0586, + "step": 2956 + }, + { + "epoch": 3.79, + "learning_rate": 1.4705374475138978e-07, + "loss": 0.0627, + "step": 2958 + }, + { + "epoch": 3.79, + "learning_rate": 1.4345385422964043e-07, + "loss": 0.0631, + "step": 2960 + }, + { + "epoch": 3.8, + "learning_rate": 1.398982559775175e-07, + "loss": 0.0643, + "step": 2962 + }, + { + "epoch": 3.8, + "learning_rate": 1.3638696597277678e-07, + "loss": 0.0622, + "step": 2964 + }, + { + "epoch": 3.8, + "learning_rate": 1.3291999999407e-07, + "loss": 0.0606, + "step": 2966 + }, + { + "epoch": 3.81, + "learning_rate": 1.2949737362087156e-07, + "loss": 0.0609, + "step": 2968 + }, + { + "epoch": 3.81, + "learning_rate": 1.2611910223340408e-07, + "loss": 0.0586, + "step": 2970 + }, + { + "epoch": 3.81, + "learning_rate": 1.227852010125752e-07, + "loss": 0.0609, + "step": 2972 + }, + { + "epoch": 3.81, + "learning_rate": 1.1949568493990428e-07, + "loss": 0.0609, + "step": 2974 + }, + { + "epoch": 3.82, + "learning_rate": 1.1625056879746133e-07, + "loss": 0.0614, + "step": 2976 + }, + { + "epoch": 3.82, + "learning_rate": 1.1304986716779265e-07, + "loss": 0.0641, + "step": 2978 + }, + { + "epoch": 3.82, + "learning_rate": 1.0989359443386305e-07, + "loss": 0.0646, + "step": 2980 + }, + { + "epoch": 3.82, + "learning_rate": 1.0678176477898372e-07, + "loss": 0.0588, + "step": 2982 + }, + { + "epoch": 3.83, + "learning_rate": 1.0371439218675671e-07, + "loss": 0.0593, + "step": 2984 + }, + { + "epoch": 3.83, + "learning_rate": 1.0069149044100502e-07, + "loss": 0.0596, + "step": 2986 + }, + { + "epoch": 3.83, + "learning_rate": 9.771307312571254e-08, + "loss": 0.0671, + "step": 2988 + }, + { + "epoch": 3.83, + "learning_rate": 9.47791536249676e-08, + "loss": 0.0577, + "step": 2990 + }, + { + "epoch": 3.84, + "learning_rate": 9.188974512289617e-08, + "loss": 0.0621, + "step": 2992 + }, + { + "epoch": 3.84, + "learning_rate": 8.90448606036054e-08, + "loss": 0.0616, + "step": 2994 + }, + { + "epoch": 3.84, + "learning_rate": 8.624451285112689e-08, + "loss": 0.0633, + "step": 2996 + }, + { + "epoch": 3.84, + "learning_rate": 8.348871444935902e-08, + "loss": 0.0655, + "step": 2998 + }, + { + "epoch": 3.85, + "learning_rate": 8.077747778200474e-08, + "loss": 0.0615, + "step": 3000 + }, + { + "epoch": 3.85, + "learning_rate": 7.811081503252382e-08, + "loss": 0.059, + "step": 3002 + }, + { + "epoch": 3.85, + "learning_rate": 7.54887381840752e-08, + "loss": 0.0604, + "step": 3004 + }, + { + "epoch": 3.85, + "learning_rate": 7.291125901946027e-08, + "loss": 0.0582, + "step": 3006 + }, + { + "epoch": 3.86, + "learning_rate": 7.037838912107298e-08, + "loss": 0.0619, + "step": 3008 + }, + { + "epoch": 3.86, + "learning_rate": 6.789013987084647e-08, + "loss": 0.0685, + "step": 3010 + }, + { + "epoch": 3.86, + "learning_rate": 6.544652245020433e-08, + "loss": 0.0585, + "step": 3012 + }, + { + "epoch": 3.86, + "learning_rate": 6.304754784000721e-08, + "loss": 0.0571, + "step": 3014 + }, + { + "epoch": 3.87, + "learning_rate": 6.069322682050516e-08, + "loss": 0.0568, + "step": 3016 + }, + { + "epoch": 3.87, + "learning_rate": 5.838356997128869e-08, + "loss": 0.0594, + "step": 3018 + }, + { + "epoch": 3.87, + "learning_rate": 5.611858767124001e-08, + "loss": 0.0659, + "step": 3020 + }, + { + "epoch": 3.87, + "learning_rate": 5.389829009849079e-08, + "loss": 0.061, + "step": 3022 + }, + { + "epoch": 3.88, + "learning_rate": 5.1722687230369995e-08, + "loss": 0.057, + "step": 3024 + }, + { + "epoch": 3.88, + "learning_rate": 4.959178884336502e-08, + "loss": 0.0615, + "step": 3026 + }, + { + "epoch": 3.88, + "learning_rate": 4.7505604513072845e-08, + "loss": 0.0608, + "step": 3028 + }, + { + "epoch": 3.88, + "learning_rate": 4.5464143614162294e-08, + "loss": 0.0603, + "step": 3030 + }, + { + "epoch": 3.89, + "learning_rate": 4.346741532032628e-08, + "loss": 0.0601, + "step": 3032 + }, + { + "epoch": 3.89, + "learning_rate": 4.151542860424407e-08, + "loss": 0.0539, + "step": 3034 + }, + { + "epoch": 3.89, + "learning_rate": 3.96081922375402e-08, + "loss": 0.06, + "step": 3036 + }, + { + "epoch": 3.89, + "learning_rate": 3.7745714790745623e-08, + "loss": 0.0564, + "step": 3038 + }, + { + "epoch": 3.9, + "learning_rate": 3.592800463325663e-08, + "loss": 0.0592, + "step": 3040 + }, + { + "epoch": 3.9, + "learning_rate": 3.4155069933301535e-08, + "loss": 0.0601, + "step": 3042 + }, + { + "epoch": 3.9, + "learning_rate": 3.242691865790071e-08, + "loss": 0.0637, + "step": 3044 + }, + { + "epoch": 3.91, + "learning_rate": 3.074355857282996e-08, + "loss": 0.0578, + "step": 3046 + }, + { + "epoch": 3.91, + "learning_rate": 2.9104997242590528e-08, + "loss": 0.0612, + "step": 3048 + }, + { + "epoch": 3.91, + "learning_rate": 2.7511242030368035e-08, + "loss": 0.0605, + "step": 3050 + }, + { + "epoch": 3.91, + "learning_rate": 2.5962300098008042e-08, + "loss": 0.0636, + "step": 3052 + }, + { + "epoch": 3.92, + "learning_rate": 2.4458178405974974e-08, + "loss": 0.06, + "step": 3054 + }, + { + "epoch": 3.92, + "learning_rate": 2.2998883713326592e-08, + "loss": 0.0618, + "step": 3056 + }, + { + "epoch": 3.92, + "learning_rate": 2.1584422577682894e-08, + "loss": 0.0574, + "step": 3058 + }, + { + "epoch": 3.92, + "learning_rate": 2.0214801355192826e-08, + "loss": 0.0579, + "step": 3060 + }, + { + "epoch": 3.93, + "learning_rate": 1.889002620051206e-08, + "loss": 0.0609, + "step": 3062 + }, + { + "epoch": 3.93, + "learning_rate": 1.761010306676969e-08, + "loss": 0.0548, + "step": 3064 + }, + { + "epoch": 3.93, + "learning_rate": 1.6375037705543827e-08, + "loss": 0.0594, + "step": 3066 + }, + { + "epoch": 3.93, + "learning_rate": 1.518483566683826e-08, + "loss": 0.0594, + "step": 3068 + }, + { + "epoch": 3.94, + "learning_rate": 1.4039502299050266e-08, + "loss": 0.066, + "step": 3070 + }, + { + "epoch": 3.94, + "learning_rate": 1.2939042748955078e-08, + "loss": 0.0579, + "step": 3072 + }, + { + "epoch": 3.94, + "learning_rate": 1.1883461961678112e-08, + "loss": 0.0615, + "step": 3074 + }, + { + "epoch": 3.94, + "learning_rate": 1.0872764680671666e-08, + "loss": 0.061, + "step": 3076 + }, + { + "epoch": 3.95, + "learning_rate": 9.906955447697153e-09, + "loss": 0.0589, + "step": 3078 + }, + { + "epoch": 3.95, + "learning_rate": 8.986038602802894e-09, + "loss": 0.0616, + "step": 3080 + }, + { + "epoch": 3.95, + "learning_rate": 8.110018284304132e-09, + "loss": 0.061, + "step": 3082 + }, + { + "epoch": 3.95, + "learning_rate": 7.278898428764169e-09, + "loss": 0.0591, + "step": 3084 + }, + { + "epoch": 3.96, + "learning_rate": 6.492682770979919e-09, + "loss": 0.0631, + "step": 3086 + }, + { + "epoch": 3.96, + "learning_rate": 5.751374843961932e-09, + "loss": 0.0617, + "step": 3088 + }, + { + "epoch": 3.96, + "learning_rate": 5.054977978916631e-09, + "loss": 0.0629, + "step": 3090 + }, + { + "epoch": 3.96, + "learning_rate": 4.403495305237426e-09, + "loss": 0.0686, + "step": 3092 + }, + { + "epoch": 3.97, + "learning_rate": 3.7969297504858445e-09, + "loss": 0.0573, + "step": 3094 + }, + { + "epoch": 3.97, + "learning_rate": 3.2352840403804264e-09, + "loss": 0.0607, + "step": 3096 + }, + { + "epoch": 3.97, + "learning_rate": 2.7185606987811808e-09, + "loss": 0.0648, + "step": 3098 + }, + { + "epoch": 3.97, + "learning_rate": 2.246762047685147e-09, + "loss": 0.0621, + "step": 3100 + }, + { + "epoch": 3.98, + "learning_rate": 1.8198902072097402e-09, + "loss": 0.0621, + "step": 3102 + }, + { + "epoch": 3.98, + "learning_rate": 1.437947095582759e-09, + "loss": 0.0561, + "step": 3104 + }, + { + "epoch": 3.98, + "learning_rate": 1.1009344291401657e-09, + "loss": 0.0584, + "step": 3106 + }, + { + "epoch": 3.98, + "learning_rate": 8.088537223116533e-10, + "loss": 0.0597, + "step": 3108 + }, + { + "epoch": 3.99, + "learning_rate": 5.617062876195345e-10, + "loss": 0.0579, + "step": 3110 + }, + { + "epoch": 3.99, + "learning_rate": 3.594932356654202e-10, + "loss": 0.0577, + "step": 3112 + }, + { + "epoch": 3.99, + "learning_rate": 2.02215475132439e-10, + "loss": 0.0564, + "step": 3114 + }, + { + "epoch": 3.99, + "learning_rate": 8.987371278079693e-11, + "loss": 0.0599, + "step": 3116 + }, + { + "epoch": 4.0, + "learning_rate": 2.246845343667481e-11, + "loss": 0.0611, + "step": 3118 + }, + { + "epoch": 4.0, + "learning_rate": 0.0, + "loss": 0.0613, + "step": 3120 + }, + { + "epoch": 4.0, + "step": 3120, + "total_flos": 9.431345112220172e+18, + "train_loss": 0.5043172255636026, + "train_runtime": 26129.153, + "train_samples_per_second": 7.642, + "train_steps_per_second": 0.119 + } + ], + "logging_steps": 2, + "max_steps": 3120, + "num_train_epochs": 4, + "save_steps": 780, + "total_flos": 9.431345112220172e+18, + "trial_name": null, + "trial_params": null +}