{ "best_metric": 1.3439607620239258, "best_model_checkpoint": "./outputs_letter3/checkpoint-1736", "epoch": 250.0, "eval_steps": 500, "global_step": 1750, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.015384615384615385, "eval_loss": 3.9449453353881836, "eval_runtime": 2.0983, "eval_samples_per_second": 61.955, "eval_steps_per_second": 0.953, "step": 7 }, { "epoch": 1.43, "learning_rate": 1.9714285714285718e-05, "loss": 3.9333, "step": 10 }, { "epoch": 2.0, "eval_accuracy": 0.023076923076923078, "eval_loss": 3.9366512298583984, "eval_runtime": 2.2606, "eval_samples_per_second": 57.506, "eval_steps_per_second": 0.885, "step": 14 }, { "epoch": 2.86, "learning_rate": 1.942857142857143e-05, "loss": 3.8939, "step": 20 }, { "epoch": 3.0, "eval_accuracy": 0.03076923076923077, "eval_loss": 3.9279532432556152, "eval_runtime": 2.3275, "eval_samples_per_second": 55.855, "eval_steps_per_second": 0.859, "step": 21 }, { "epoch": 4.0, "eval_accuracy": 0.046153846153846156, "eval_loss": 3.9167158603668213, "eval_runtime": 2.2361, "eval_samples_per_second": 58.137, "eval_steps_per_second": 0.894, "step": 28 }, { "epoch": 4.29, "learning_rate": 1.9142857142857146e-05, "loss": 3.8562, "step": 30 }, { "epoch": 5.0, "eval_accuracy": 0.06923076923076923, "eval_loss": 3.9032633304595947, "eval_runtime": 2.4923, "eval_samples_per_second": 52.161, "eval_steps_per_second": 0.802, "step": 35 }, { "epoch": 5.71, "learning_rate": 1.885714285714286e-05, "loss": 3.8008, "step": 40 }, { "epoch": 6.0, "eval_accuracy": 0.07692307692307693, "eval_loss": 3.8873634338378906, "eval_runtime": 2.5262, "eval_samples_per_second": 51.461, "eval_steps_per_second": 0.792, "step": 42 }, { "epoch": 7.0, "eval_accuracy": 0.1076923076923077, "eval_loss": 3.867002010345459, "eval_runtime": 2.5898, "eval_samples_per_second": 50.196, "eval_steps_per_second": 0.772, "step": 49 }, { "epoch": 7.14, "learning_rate": 1.8571428571428575e-05, "loss": 3.7555, "step": 50 }, { "epoch": 8.0, "eval_accuracy": 0.1, "eval_loss": 3.8494887351989746, "eval_runtime": 2.6867, "eval_samples_per_second": 48.387, "eval_steps_per_second": 0.744, "step": 56 }, { "epoch": 8.57, "learning_rate": 1.8285714285714288e-05, "loss": 3.6917, "step": 60 }, { "epoch": 9.0, "eval_accuracy": 0.11538461538461539, "eval_loss": 3.8304965496063232, "eval_runtime": 2.4963, "eval_samples_per_second": 52.077, "eval_steps_per_second": 0.801, "step": 63 }, { "epoch": 10.0, "learning_rate": 1.8e-05, "loss": 3.6372, "step": 70 }, { "epoch": 10.0, "eval_accuracy": 0.13846153846153847, "eval_loss": 3.8138267993927, "eval_runtime": 2.3942, "eval_samples_per_second": 54.298, "eval_steps_per_second": 0.835, "step": 70 }, { "epoch": 11.0, "eval_accuracy": 0.12307692307692308, "eval_loss": 3.796628952026367, "eval_runtime": 2.3929, "eval_samples_per_second": 54.328, "eval_steps_per_second": 0.836, "step": 77 }, { "epoch": 11.43, "learning_rate": 1.7714285714285717e-05, "loss": 3.5846, "step": 80 }, { "epoch": 12.0, "eval_accuracy": 0.15384615384615385, "eval_loss": 3.7766666412353516, "eval_runtime": 2.4605, "eval_samples_per_second": 52.835, "eval_steps_per_second": 0.813, "step": 84 }, { "epoch": 12.86, "learning_rate": 1.742857142857143e-05, "loss": 3.5047, "step": 90 }, { "epoch": 13.0, "eval_accuracy": 0.23076923076923078, "eval_loss": 3.751601219177246, "eval_runtime": 2.5029, "eval_samples_per_second": 51.94, "eval_steps_per_second": 0.799, "step": 91 }, { "epoch": 14.0, "eval_accuracy": 0.23846153846153847, "eval_loss": 3.7278525829315186, "eval_runtime": 2.6158, "eval_samples_per_second": 49.699, "eval_steps_per_second": 0.765, "step": 98 }, { "epoch": 14.29, "learning_rate": 1.7142857142857142e-05, "loss": 3.4547, "step": 100 }, { "epoch": 15.0, "eval_accuracy": 0.23846153846153847, "eval_loss": 3.7031078338623047, "eval_runtime": 2.5457, "eval_samples_per_second": 51.066, "eval_steps_per_second": 0.786, "step": 105 }, { "epoch": 15.71, "learning_rate": 1.6857142857142858e-05, "loss": 3.3796, "step": 110 }, { "epoch": 16.0, "eval_accuracy": 0.2692307692307692, "eval_loss": 3.672494649887085, "eval_runtime": 2.368, "eval_samples_per_second": 54.899, "eval_steps_per_second": 0.845, "step": 112 }, { "epoch": 17.0, "eval_accuracy": 0.27692307692307694, "eval_loss": 3.646197557449341, "eval_runtime": 2.3752, "eval_samples_per_second": 54.731, "eval_steps_per_second": 0.842, "step": 119 }, { "epoch": 17.14, "learning_rate": 1.6571428571428574e-05, "loss": 3.3283, "step": 120 }, { "epoch": 18.0, "eval_accuracy": 0.2923076923076923, "eval_loss": 3.622591495513916, "eval_runtime": 2.3748, "eval_samples_per_second": 54.741, "eval_steps_per_second": 0.842, "step": 126 }, { "epoch": 18.57, "learning_rate": 1.6285714285714287e-05, "loss": 3.2728, "step": 130 }, { "epoch": 19.0, "eval_accuracy": 0.2846153846153846, "eval_loss": 3.6022486686706543, "eval_runtime": 2.4033, "eval_samples_per_second": 54.091, "eval_steps_per_second": 0.832, "step": 133 }, { "epoch": 20.0, "learning_rate": 1.6000000000000003e-05, "loss": 3.2229, "step": 140 }, { "epoch": 20.0, "eval_accuracy": 0.27692307692307694, "eval_loss": 3.5929768085479736, "eval_runtime": 2.4687, "eval_samples_per_second": 52.66, "eval_steps_per_second": 0.81, "step": 140 }, { "epoch": 21.0, "eval_accuracy": 0.33076923076923076, "eval_loss": 3.574838876724243, "eval_runtime": 2.5603, "eval_samples_per_second": 50.775, "eval_steps_per_second": 0.781, "step": 147 }, { "epoch": 21.43, "learning_rate": 1.5714285714285715e-05, "loss": 3.1514, "step": 150 }, { "epoch": 22.0, "eval_accuracy": 0.3384615384615385, "eval_loss": 3.5403976440429688, "eval_runtime": 2.3284, "eval_samples_per_second": 55.833, "eval_steps_per_second": 0.859, "step": 154 }, { "epoch": 22.86, "learning_rate": 1.542857142857143e-05, "loss": 3.1179, "step": 160 }, { "epoch": 23.0, "eval_accuracy": 0.3384615384615385, "eval_loss": 3.514573335647583, "eval_runtime": 2.3901, "eval_samples_per_second": 54.39, "eval_steps_per_second": 0.837, "step": 161 }, { "epoch": 24.0, "eval_accuracy": 0.34615384615384615, "eval_loss": 3.491649866104126, "eval_runtime": 2.3495, "eval_samples_per_second": 55.331, "eval_steps_per_second": 0.851, "step": 168 }, { "epoch": 24.29, "learning_rate": 1.5142857142857144e-05, "loss": 3.0559, "step": 170 }, { "epoch": 25.0, "eval_accuracy": 0.3384615384615385, "eval_loss": 3.473316192626953, "eval_runtime": 2.387, "eval_samples_per_second": 54.461, "eval_steps_per_second": 0.838, "step": 175 }, { "epoch": 25.71, "learning_rate": 1.4857142857142858e-05, "loss": 3.0051, "step": 180 }, { "epoch": 26.0, "eval_accuracy": 0.36153846153846153, "eval_loss": 3.453972339630127, "eval_runtime": 2.5367, "eval_samples_per_second": 51.249, "eval_steps_per_second": 0.788, "step": 182 }, { "epoch": 27.0, "eval_accuracy": 0.36923076923076925, "eval_loss": 3.4498963356018066, "eval_runtime": 2.5601, "eval_samples_per_second": 50.779, "eval_steps_per_second": 0.781, "step": 189 }, { "epoch": 27.14, "learning_rate": 1.4571428571428573e-05, "loss": 2.9775, "step": 190 }, { "epoch": 28.0, "eval_accuracy": 0.3769230769230769, "eval_loss": 3.435525417327881, "eval_runtime": 2.3663, "eval_samples_per_second": 54.939, "eval_steps_per_second": 0.845, "step": 196 }, { "epoch": 28.57, "learning_rate": 1.4285714285714287e-05, "loss": 2.9277, "step": 200 }, { "epoch": 29.0, "eval_accuracy": 0.38461538461538464, "eval_loss": 3.4166250228881836, "eval_runtime": 2.3557, "eval_samples_per_second": 55.185, "eval_steps_per_second": 0.849, "step": 203 }, { "epoch": 30.0, "learning_rate": 1.4e-05, "loss": 2.9066, "step": 210 }, { "epoch": 30.0, "eval_accuracy": 0.4, "eval_loss": 3.40069842338562, "eval_runtime": 2.3914, "eval_samples_per_second": 54.362, "eval_steps_per_second": 0.836, "step": 210 }, { "epoch": 31.0, "eval_accuracy": 0.36923076923076925, "eval_loss": 3.3825573921203613, "eval_runtime": 2.5239, "eval_samples_per_second": 51.509, "eval_steps_per_second": 0.792, "step": 217 }, { "epoch": 31.43, "learning_rate": 1.3714285714285716e-05, "loss": 2.8464, "step": 220 }, { "epoch": 32.0, "eval_accuracy": 0.4076923076923077, "eval_loss": 3.369760274887085, "eval_runtime": 2.3953, "eval_samples_per_second": 54.273, "eval_steps_per_second": 0.835, "step": 224 }, { "epoch": 32.86, "learning_rate": 1.3428571428571429e-05, "loss": 2.8044, "step": 230 }, { "epoch": 33.0, "eval_accuracy": 0.4076923076923077, "eval_loss": 3.350893497467041, "eval_runtime": 2.5141, "eval_samples_per_second": 51.708, "eval_steps_per_second": 0.796, "step": 231 }, { "epoch": 34.0, "eval_accuracy": 0.3769230769230769, "eval_loss": 3.324298620223999, "eval_runtime": 2.5107, "eval_samples_per_second": 51.778, "eval_steps_per_second": 0.797, "step": 238 }, { "epoch": 34.29, "learning_rate": 1.3142857142857145e-05, "loss": 2.7699, "step": 240 }, { "epoch": 35.0, "eval_accuracy": 0.3923076923076923, "eval_loss": 3.320146322250366, "eval_runtime": 2.3695, "eval_samples_per_second": 54.864, "eval_steps_per_second": 0.844, "step": 245 }, { "epoch": 35.71, "learning_rate": 1.2857142857142859e-05, "loss": 2.7251, "step": 250 }, { "epoch": 36.0, "eval_accuracy": 0.4, "eval_loss": 3.301337242126465, "eval_runtime": 2.3948, "eval_samples_per_second": 54.285, "eval_steps_per_second": 0.835, "step": 252 }, { "epoch": 37.0, "eval_accuracy": 0.4230769230769231, "eval_loss": 3.2935874462127686, "eval_runtime": 2.3921, "eval_samples_per_second": 54.345, "eval_steps_per_second": 0.836, "step": 259 }, { "epoch": 37.14, "learning_rate": 1.2571428571428572e-05, "loss": 2.6915, "step": 260 }, { "epoch": 38.0, "eval_accuracy": 0.45384615384615384, "eval_loss": 3.2827184200286865, "eval_runtime": 2.4835, "eval_samples_per_second": 52.345, "eval_steps_per_second": 0.805, "step": 266 }, { "epoch": 38.57, "learning_rate": 1.2285714285714288e-05, "loss": 2.6527, "step": 270 }, { "epoch": 39.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.262709379196167, "eval_runtime": 2.5052, "eval_samples_per_second": 51.892, "eval_steps_per_second": 0.798, "step": 273 }, { "epoch": 40.0, "learning_rate": 1.2e-05, "loss": 2.6541, "step": 280 }, { "epoch": 40.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.2581355571746826, "eval_runtime": 2.5207, "eval_samples_per_second": 51.573, "eval_steps_per_second": 0.793, "step": 280 }, { "epoch": 41.0, "eval_accuracy": 0.4230769230769231, "eval_loss": 3.2342007160186768, "eval_runtime": 2.363, "eval_samples_per_second": 55.016, "eval_steps_per_second": 0.846, "step": 287 }, { "epoch": 41.43, "learning_rate": 1.1714285714285716e-05, "loss": 2.5968, "step": 290 }, { "epoch": 42.0, "eval_accuracy": 0.43846153846153846, "eval_loss": 3.2211241722106934, "eval_runtime": 2.5033, "eval_samples_per_second": 51.932, "eval_steps_per_second": 0.799, "step": 294 }, { "epoch": 42.86, "learning_rate": 1.1428571428571429e-05, "loss": 2.573, "step": 300 }, { "epoch": 43.0, "eval_accuracy": 0.4076923076923077, "eval_loss": 3.212242603302002, "eval_runtime": 2.4013, "eval_samples_per_second": 54.137, "eval_steps_per_second": 0.833, "step": 301 }, { "epoch": 44.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.2259228229522705, "eval_runtime": 2.5062, "eval_samples_per_second": 51.871, "eval_steps_per_second": 0.798, "step": 308 }, { "epoch": 44.29, "learning_rate": 1.1142857142857143e-05, "loss": 2.554, "step": 310 }, { "epoch": 45.0, "eval_accuracy": 0.4307692307692308, "eval_loss": 3.2271060943603516, "eval_runtime": 2.357, "eval_samples_per_second": 55.154, "eval_steps_per_second": 0.849, "step": 315 }, { "epoch": 45.71, "learning_rate": 1.0857142857142858e-05, "loss": 2.5222, "step": 320 }, { "epoch": 46.0, "eval_accuracy": 0.4461538461538462, "eval_loss": 3.2208163738250732, "eval_runtime": 2.7528, "eval_samples_per_second": 47.225, "eval_steps_per_second": 0.727, "step": 322 }, { "epoch": 47.0, "eval_accuracy": 0.4461538461538462, "eval_loss": 3.2139155864715576, "eval_runtime": 2.3673, "eval_samples_per_second": 54.915, "eval_steps_per_second": 0.845, "step": 329 }, { "epoch": 47.14, "learning_rate": 1.0571428571428572e-05, "loss": 2.5085, "step": 330 }, { "epoch": 48.0, "eval_accuracy": 0.45384615384615384, "eval_loss": 3.204026460647583, "eval_runtime": 2.3343, "eval_samples_per_second": 55.691, "eval_steps_per_second": 0.857, "step": 336 }, { "epoch": 48.57, "learning_rate": 1.0285714285714285e-05, "loss": 2.4593, "step": 340 }, { "epoch": 49.0, "eval_accuracy": 0.49230769230769234, "eval_loss": 3.205333948135376, "eval_runtime": 2.3891, "eval_samples_per_second": 54.414, "eval_steps_per_second": 0.837, "step": 343 }, { "epoch": 50.0, "learning_rate": 1e-05, "loss": 2.4585, "step": 350 }, { "epoch": 50.0, "eval_accuracy": 0.47692307692307695, "eval_loss": 3.1822495460510254, "eval_runtime": 2.3305, "eval_samples_per_second": 55.781, "eval_steps_per_second": 0.858, "step": 350 }, { "epoch": 51.0, "eval_accuracy": 0.46923076923076923, "eval_loss": 3.1696622371673584, "eval_runtime": 2.3113, "eval_samples_per_second": 56.246, "eval_steps_per_second": 0.865, "step": 357 }, { "epoch": 51.43, "learning_rate": 9.714285714285715e-06, "loss": 2.4228, "step": 360 }, { "epoch": 52.0, "eval_accuracy": 0.46923076923076923, "eval_loss": 3.1589303016662598, "eval_runtime": 2.5283, "eval_samples_per_second": 51.419, "eval_steps_per_second": 0.791, "step": 364 }, { "epoch": 52.86, "learning_rate": 9.42857142857143e-06, "loss": 2.3954, "step": 370 }, { "epoch": 53.0, "eval_accuracy": 0.47692307692307695, "eval_loss": 3.1375324726104736, "eval_runtime": 2.3577, "eval_samples_per_second": 55.139, "eval_steps_per_second": 0.848, "step": 371 }, { "epoch": 54.0, "eval_accuracy": 0.45384615384615384, "eval_loss": 3.1092171669006348, "eval_runtime": 2.3799, "eval_samples_per_second": 54.625, "eval_steps_per_second": 0.84, "step": 378 }, { "epoch": 54.29, "learning_rate": 9.142857142857144e-06, "loss": 2.3641, "step": 380 }, { "epoch": 55.0, "eval_accuracy": 0.47692307692307695, "eval_loss": 3.099919319152832, "eval_runtime": 2.3488, "eval_samples_per_second": 55.348, "eval_steps_per_second": 0.852, "step": 385 }, { "epoch": 55.71, "learning_rate": 8.857142857142858e-06, "loss": 2.3651, "step": 390 }, { "epoch": 56.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.0859622955322266, "eval_runtime": 2.5127, "eval_samples_per_second": 51.737, "eval_steps_per_second": 0.796, "step": 392 }, { "epoch": 57.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.0813159942626953, "eval_runtime": 2.449, "eval_samples_per_second": 53.082, "eval_steps_per_second": 0.817, "step": 399 }, { "epoch": 57.14, "learning_rate": 8.571428571428571e-06, "loss": 2.3182, "step": 400 }, { "epoch": 58.0, "eval_accuracy": 0.49230769230769234, "eval_loss": 3.0692226886749268, "eval_runtime": 2.3556, "eval_samples_per_second": 55.188, "eval_steps_per_second": 0.849, "step": 406 }, { "epoch": 58.57, "learning_rate": 8.285714285714287e-06, "loss": 2.3029, "step": 410 }, { "epoch": 59.0, "eval_accuracy": 0.4846153846153846, "eval_loss": 3.061020612716675, "eval_runtime": 2.4546, "eval_samples_per_second": 52.961, "eval_steps_per_second": 0.815, "step": 413 }, { "epoch": 60.0, "learning_rate": 8.000000000000001e-06, "loss": 2.2988, "step": 420 }, { "epoch": 60.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.0626943111419678, "eval_runtime": 2.3415, "eval_samples_per_second": 55.521, "eval_steps_per_second": 0.854, "step": 420 }, { "epoch": 61.0, "eval_accuracy": 0.46923076923076923, "eval_loss": 3.051997184753418, "eval_runtime": 2.492, "eval_samples_per_second": 52.167, "eval_steps_per_second": 0.803, "step": 427 }, { "epoch": 61.43, "learning_rate": 7.714285714285716e-06, "loss": 2.2865, "step": 430 }, { "epoch": 62.0, "eval_accuracy": 0.45384615384615384, "eval_loss": 3.039459705352783, "eval_runtime": 2.4542, "eval_samples_per_second": 52.97, "eval_steps_per_second": 0.815, "step": 434 }, { "epoch": 62.86, "learning_rate": 7.428571428571429e-06, "loss": 2.2623, "step": 440 }, { "epoch": 63.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.0356502532958984, "eval_runtime": 2.3341, "eval_samples_per_second": 55.697, "eval_steps_per_second": 0.857, "step": 441 }, { "epoch": 64.0, "eval_accuracy": 0.46153846153846156, "eval_loss": 3.0332510471343994, "eval_runtime": 2.3535, "eval_samples_per_second": 55.236, "eval_steps_per_second": 0.85, "step": 448 }, { "epoch": 64.29, "learning_rate": 7.1428571428571436e-06, "loss": 2.2252, "step": 450 }, { "epoch": 65.0, "eval_accuracy": 0.47692307692307695, "eval_loss": 3.022916316986084, "eval_runtime": 2.5362, "eval_samples_per_second": 51.258, "eval_steps_per_second": 0.789, "step": 455 }, { "epoch": 65.71, "learning_rate": 6.857142857142858e-06, "loss": 2.2339, "step": 460 }, { "epoch": 66.0, "eval_accuracy": 0.47692307692307695, "eval_loss": 3.020322799682617, "eval_runtime": 2.3519, "eval_samples_per_second": 55.275, "eval_steps_per_second": 0.85, "step": 462 }, { "epoch": 67.0, "eval_accuracy": 0.49230769230769234, "eval_loss": 3.0076119899749756, "eval_runtime": 2.359, "eval_samples_per_second": 55.107, "eval_steps_per_second": 0.848, "step": 469 }, { "epoch": 67.14, "learning_rate": 6.571428571428572e-06, "loss": 2.2017, "step": 470 }, { "epoch": 68.0, "eval_accuracy": 0.4846153846153846, "eval_loss": 2.9876248836517334, "eval_runtime": 2.372, "eval_samples_per_second": 54.805, "eval_steps_per_second": 0.843, "step": 476 }, { "epoch": 68.57, "learning_rate": 6.285714285714286e-06, "loss": 2.1972, "step": 480 }, { "epoch": 69.0, "eval_accuracy": 0.49230769230769234, "eval_loss": 2.971572160720825, "eval_runtime": 2.3479, "eval_samples_per_second": 55.368, "eval_steps_per_second": 0.852, "step": 483 }, { "epoch": 70.0, "learning_rate": 6e-06, "loss": 2.1964, "step": 490 }, { "epoch": 70.0, "eval_accuracy": 0.5, "eval_loss": 2.96323823928833, "eval_runtime": 2.4351, "eval_samples_per_second": 53.387, "eval_steps_per_second": 0.821, "step": 490 }, { "epoch": 71.0, "eval_accuracy": 0.49230769230769234, "eval_loss": 2.9597153663635254, "eval_runtime": 2.4929, "eval_samples_per_second": 52.149, "eval_steps_per_second": 0.802, "step": 497 }, { "epoch": 71.43, "learning_rate": 5.7142857142857145e-06, "loss": 2.1775, "step": 500 }, { "epoch": 72.0, "eval_accuracy": 0.5, "eval_loss": 2.9580914974212646, "eval_runtime": 2.5027, "eval_samples_per_second": 51.943, "eval_steps_per_second": 0.799, "step": 504 }, { "epoch": 72.86, "learning_rate": 5.428571428571429e-06, "loss": 2.1619, "step": 510 }, { "epoch": 73.0, "eval_accuracy": 0.5076923076923077, "eval_loss": 2.9516122341156006, "eval_runtime": 2.4828, "eval_samples_per_second": 52.361, "eval_steps_per_second": 0.806, "step": 511 }, { "epoch": 74.0, "eval_accuracy": 0.5153846153846153, "eval_loss": 2.935607433319092, "eval_runtime": 2.3758, "eval_samples_per_second": 54.719, "eval_steps_per_second": 0.842, "step": 518 }, { "epoch": 74.29, "learning_rate": 5.142857142857142e-06, "loss": 2.1633, "step": 520 }, { "epoch": 75.0, "eval_accuracy": 0.5076923076923077, "eval_loss": 2.928561210632324, "eval_runtime": 2.3327, "eval_samples_per_second": 55.729, "eval_steps_per_second": 0.857, "step": 525 }, { "epoch": 75.71, "learning_rate": 4.857142857142858e-06, "loss": 2.1207, "step": 530 }, { "epoch": 76.0, "eval_accuracy": 0.5153846153846153, "eval_loss": 2.9266109466552734, "eval_runtime": 2.3813, "eval_samples_per_second": 54.591, "eval_steps_per_second": 0.84, "step": 532 }, { "epoch": 77.0, "eval_accuracy": 0.5230769230769231, "eval_loss": 2.920504093170166, "eval_runtime": 2.4777, "eval_samples_per_second": 52.468, "eval_steps_per_second": 0.807, "step": 539 }, { "epoch": 77.14, "learning_rate": 4.571428571428572e-06, "loss": 2.1353, "step": 540 }, { "epoch": 78.0, "eval_accuracy": 0.5153846153846153, "eval_loss": 2.9131386280059814, "eval_runtime": 2.3865, "eval_samples_per_second": 54.473, "eval_steps_per_second": 0.838, "step": 546 }, { "epoch": 78.57, "learning_rate": 4.2857142857142855e-06, "loss": 2.1075, "step": 550 }, { "epoch": 79.0, "eval_accuracy": 0.5230769230769231, "eval_loss": 2.907454252243042, "eval_runtime": 2.3713, "eval_samples_per_second": 54.823, "eval_steps_per_second": 0.843, "step": 553 }, { "epoch": 80.0, "learning_rate": 4.000000000000001e-06, "loss": 2.1025, "step": 560 }, { "epoch": 80.0, "eval_accuracy": 0.5230769230769231, "eval_loss": 2.907280921936035, "eval_runtime": 2.3736, "eval_samples_per_second": 54.768, "eval_steps_per_second": 0.843, "step": 560 }, { "epoch": 81.0, "eval_accuracy": 0.5153846153846153, "eval_loss": 2.9174439907073975, "eval_runtime": 2.3602, "eval_samples_per_second": 55.079, "eval_steps_per_second": 0.847, "step": 567 }, { "epoch": 81.43, "learning_rate": 3.7142857142857146e-06, "loss": 2.1031, "step": 570 }, { "epoch": 82.0, "eval_accuracy": 0.5307692307692308, "eval_loss": 2.913137197494507, "eval_runtime": 2.4712, "eval_samples_per_second": 52.605, "eval_steps_per_second": 0.809, "step": 574 }, { "epoch": 82.86, "learning_rate": 3.428571428571429e-06, "loss": 2.0932, "step": 580 }, { "epoch": 83.0, "eval_accuracy": 0.5307692307692308, "eval_loss": 2.909245491027832, "eval_runtime": 2.3787, "eval_samples_per_second": 54.651, "eval_steps_per_second": 0.841, "step": 581 }, { "epoch": 84.0, "eval_accuracy": 0.5307692307692308, "eval_loss": 2.8977668285369873, "eval_runtime": 4.0301, "eval_samples_per_second": 32.257, "eval_steps_per_second": 0.496, "step": 588 }, { "epoch": 84.29, "learning_rate": 3.142857142857143e-06, "loss": 2.0861, "step": 590 }, { "epoch": 85.0, "eval_accuracy": 0.5307692307692308, "eval_loss": 2.8871328830718994, "eval_runtime": 3.7091, "eval_samples_per_second": 35.049, "eval_steps_per_second": 0.539, "step": 595 }, { "epoch": 85.71, "learning_rate": 2.8571428571428573e-06, "loss": 2.0478, "step": 600 }, { "epoch": 86.0, "eval_accuracy": 0.5384615384615384, "eval_loss": 2.882897138595581, "eval_runtime": 4.3893, "eval_samples_per_second": 29.617, "eval_steps_per_second": 0.456, "step": 602 }, { "epoch": 87.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.880449056625366, "eval_runtime": 2.9082, "eval_samples_per_second": 44.701, "eval_steps_per_second": 0.688, "step": 609 }, { "epoch": 87.14, "learning_rate": 2.571428571428571e-06, "loss": 2.0815, "step": 610 }, { "epoch": 88.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.872459888458252, "eval_runtime": 2.8921, "eval_samples_per_second": 44.95, "eval_steps_per_second": 0.692, "step": 616 }, { "epoch": 88.57, "learning_rate": 2.285714285714286e-06, "loss": 2.0756, "step": 620 }, { "epoch": 89.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.8694419860839844, "eval_runtime": 3.9643, "eval_samples_per_second": 32.793, "eval_steps_per_second": 0.505, "step": 623 }, { "epoch": 90.0, "learning_rate": 2.0000000000000003e-06, "loss": 2.065, "step": 630 }, { "epoch": 90.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.866473913192749, "eval_runtime": 3.1035, "eval_samples_per_second": 41.888, "eval_steps_per_second": 0.644, "step": 630 }, { "epoch": 91.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.861470937728882, "eval_runtime": 3.1207, "eval_samples_per_second": 41.657, "eval_steps_per_second": 0.641, "step": 637 }, { "epoch": 91.43, "learning_rate": 1.7142857142857145e-06, "loss": 2.0572, "step": 640 }, { "epoch": 92.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.859877347946167, "eval_runtime": 2.6425, "eval_samples_per_second": 49.197, "eval_steps_per_second": 0.757, "step": 644 }, { "epoch": 92.86, "learning_rate": 1.4285714285714286e-06, "loss": 2.0358, "step": 650 }, { "epoch": 93.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.8619918823242188, "eval_runtime": 2.4174, "eval_samples_per_second": 53.776, "eval_steps_per_second": 0.827, "step": 651 }, { "epoch": 94.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.862945079803467, "eval_runtime": 2.4216, "eval_samples_per_second": 53.684, "eval_steps_per_second": 0.826, "step": 658 }, { "epoch": 94.29, "learning_rate": 1.142857142857143e-06, "loss": 2.0663, "step": 660 }, { "epoch": 95.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.862516403198242, "eval_runtime": 2.3749, "eval_samples_per_second": 54.739, "eval_steps_per_second": 0.842, "step": 665 }, { "epoch": 95.71, "learning_rate": 8.571428571428572e-07, "loss": 2.0353, "step": 670 }, { "epoch": 96.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.8627583980560303, "eval_runtime": 2.3527, "eval_samples_per_second": 55.257, "eval_steps_per_second": 0.85, "step": 672 }, { "epoch": 97.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.8628671169281006, "eval_runtime": 2.5748, "eval_samples_per_second": 50.49, "eval_steps_per_second": 0.777, "step": 679 }, { "epoch": 97.14, "learning_rate": 5.714285714285715e-07, "loss": 2.0506, "step": 680 }, { "epoch": 98.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.862170457839966, "eval_runtime": 2.3987, "eval_samples_per_second": 54.196, "eval_steps_per_second": 0.834, "step": 686 }, { "epoch": 98.57, "learning_rate": 2.8571428571428575e-07, "loss": 2.0494, "step": 690 }, { "epoch": 99.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.8621606826782227, "eval_runtime": 2.676, "eval_samples_per_second": 48.58, "eval_steps_per_second": 0.747, "step": 693 }, { "epoch": 100.0, "learning_rate": 0.0, "loss": 2.0566, "step": 700 }, { "epoch": 100.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.862189292907715, "eval_runtime": 2.8132, "eval_samples_per_second": 46.211, "eval_steps_per_second": 0.711, "step": 700 }, { "epoch": 100.0, "step": 700, "total_flos": 4.031389254057984e+18, "train_loss": 2.6316724504743303, "train_runtime": 4344.3701, "train_samples_per_second": 11.97, "train_steps_per_second": 0.161 }, { "epoch": 101.0, "eval_accuracy": 0.5153846153846153, "eval_loss": 2.84305477142334, "eval_runtime": 2.1617, "eval_samples_per_second": 60.137, "eval_steps_per_second": 0.925, "step": 707 }, { "epoch": 101.43, "learning_rate": 1.9761904761904763e-05, "loss": 2.067, "step": 710 }, { "epoch": 102.0, "eval_accuracy": 0.5, "eval_loss": 2.8063366413116455, "eval_runtime": 2.1563, "eval_samples_per_second": 60.288, "eval_steps_per_second": 0.928, "step": 714 }, { "epoch": 102.86, "learning_rate": 1.9523809523809524e-05, "loss": 2.0234, "step": 720 }, { "epoch": 103.0, "eval_accuracy": 0.5230769230769231, "eval_loss": 2.7845773696899414, "eval_runtime": 2.1676, "eval_samples_per_second": 59.974, "eval_steps_per_second": 0.923, "step": 721 }, { "epoch": 104.0, "eval_accuracy": 0.5307692307692308, "eval_loss": 2.762021541595459, "eval_runtime": 2.2767, "eval_samples_per_second": 57.1, "eval_steps_per_second": 0.878, "step": 728 }, { "epoch": 104.29, "learning_rate": 1.928571428571429e-05, "loss": 1.9979, "step": 730 }, { "epoch": 105.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.7421603202819824, "eval_runtime": 2.2859, "eval_samples_per_second": 56.871, "eval_steps_per_second": 0.875, "step": 735 }, { "epoch": 105.71, "learning_rate": 1.904761904761905e-05, "loss": 1.9515, "step": 740 }, { "epoch": 106.0, "eval_accuracy": 0.5615384615384615, "eval_loss": 2.722872734069824, "eval_runtime": 2.3487, "eval_samples_per_second": 55.35, "eval_steps_per_second": 0.852, "step": 742 }, { "epoch": 107.0, "eval_accuracy": 0.5384615384615384, "eval_loss": 2.7145817279815674, "eval_runtime": 2.3976, "eval_samples_per_second": 54.221, "eval_steps_per_second": 0.834, "step": 749 }, { "epoch": 107.14, "learning_rate": 1.880952380952381e-05, "loss": 1.9095, "step": 750 }, { "epoch": 108.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.6905264854431152, "eval_runtime": 2.3887, "eval_samples_per_second": 54.422, "eval_steps_per_second": 0.837, "step": 756 }, { "epoch": 108.57, "learning_rate": 1.8571428571428575e-05, "loss": 1.8759, "step": 760 }, { "epoch": 109.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.6840174198150635, "eval_runtime": 2.369, "eval_samples_per_second": 54.876, "eval_steps_per_second": 0.844, "step": 763 }, { "epoch": 110.0, "learning_rate": 1.8333333333333333e-05, "loss": 1.8561, "step": 770 }, { "epoch": 110.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.6554973125457764, "eval_runtime": 2.3964, "eval_samples_per_second": 54.248, "eval_steps_per_second": 0.835, "step": 770 }, { "epoch": 111.0, "eval_accuracy": 0.5692307692307692, "eval_loss": 2.6465163230895996, "eval_runtime": 2.5418, "eval_samples_per_second": 51.146, "eval_steps_per_second": 0.787, "step": 777 }, { "epoch": 111.43, "learning_rate": 1.8095238095238097e-05, "loss": 1.8147, "step": 780 }, { "epoch": 112.0, "eval_accuracy": 0.5384615384615384, "eval_loss": 2.6321260929107666, "eval_runtime": 2.6607, "eval_samples_per_second": 48.859, "eval_steps_per_second": 0.752, "step": 784 }, { "epoch": 112.86, "learning_rate": 1.785714285714286e-05, "loss": 1.799, "step": 790 }, { "epoch": 113.0, "eval_accuracy": 0.5384615384615384, "eval_loss": 2.6352975368499756, "eval_runtime": 2.3449, "eval_samples_per_second": 55.439, "eval_steps_per_second": 0.853, "step": 791 }, { "epoch": 114.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.6188342571258545, "eval_runtime": 2.5585, "eval_samples_per_second": 50.811, "eval_steps_per_second": 0.782, "step": 798 }, { "epoch": 114.29, "learning_rate": 1.761904761904762e-05, "loss": 1.7536, "step": 800 }, { "epoch": 115.0, "eval_accuracy": 0.5461538461538461, "eval_loss": 2.6063857078552246, "eval_runtime": 2.5441, "eval_samples_per_second": 51.098, "eval_steps_per_second": 0.786, "step": 805 }, { "epoch": 115.71, "learning_rate": 1.7380952380952384e-05, "loss": 1.7162, "step": 810 }, { "epoch": 116.0, "eval_accuracy": 0.5538461538461539, "eval_loss": 2.591280937194824, "eval_runtime": 2.5836, "eval_samples_per_second": 50.316, "eval_steps_per_second": 0.774, "step": 812 }, { "epoch": 117.0, "eval_accuracy": 0.5923076923076923, "eval_loss": 2.5749051570892334, "eval_runtime": 2.5441, "eval_samples_per_second": 51.099, "eval_steps_per_second": 0.786, "step": 819 }, { "epoch": 117.14, "learning_rate": 1.7142857142857142e-05, "loss": 1.7225, "step": 820 }, { "epoch": 118.0, "eval_accuracy": 0.5846153846153846, "eval_loss": 2.563140869140625, "eval_runtime": 2.6117, "eval_samples_per_second": 49.777, "eval_steps_per_second": 0.766, "step": 826 }, { "epoch": 118.57, "learning_rate": 1.6904761904761906e-05, "loss": 1.6841, "step": 830 }, { "epoch": 119.0, "eval_accuracy": 0.5923076923076923, "eval_loss": 2.547883987426758, "eval_runtime": 2.5689, "eval_samples_per_second": 50.605, "eval_steps_per_second": 0.779, "step": 833 }, { "epoch": 120.0, "learning_rate": 1.6666666666666667e-05, "loss": 1.6388, "step": 840 }, { "epoch": 120.0, "eval_accuracy": 0.5846153846153846, "eval_loss": 2.5402629375457764, "eval_runtime": 2.4843, "eval_samples_per_second": 52.328, "eval_steps_per_second": 0.805, "step": 840 }, { "epoch": 120.0, "step": 840, "total_flos": 4.837667104869581e+18, "train_loss": 0.3072653747740246, "train_runtime": 892.0889, "train_samples_per_second": 69.948, "train_steps_per_second": 0.942 }, { "epoch": 121.0, "eval_accuracy": 0.6692307692307692, "eval_loss": 2.35441255569458, "eval_runtime": 2.1277, "eval_samples_per_second": 61.098, "eval_steps_per_second": 0.94, "step": 847 }, { "epoch": 121.43, "learning_rate": 1.985714285714286e-05, "loss": 1.4504, "step": 850 }, { "epoch": 122.0, "eval_accuracy": 0.6461538461538462, "eval_loss": 2.3751370906829834, "eval_runtime": 2.1033, "eval_samples_per_second": 61.809, "eval_steps_per_second": 0.951, "step": 854 }, { "epoch": 122.86, "learning_rate": 1.9714285714285718e-05, "loss": 1.3963, "step": 860 }, { "epoch": 123.0, "eval_accuracy": 0.6538461538461539, "eval_loss": 2.3588593006134033, "eval_runtime": 2.0842, "eval_samples_per_second": 62.373, "eval_steps_per_second": 0.96, "step": 861 }, { "epoch": 124.0, "eval_accuracy": 0.6538461538461539, "eval_loss": 2.353787899017334, "eval_runtime": 2.1043, "eval_samples_per_second": 61.78, "eval_steps_per_second": 0.95, "step": 868 }, { "epoch": 124.29, "learning_rate": 1.9571428571428572e-05, "loss": 1.4087, "step": 870 }, { "epoch": 125.0, "eval_accuracy": 0.6461538461538462, "eval_loss": 2.326305627822876, "eval_runtime": 2.1627, "eval_samples_per_second": 60.11, "eval_steps_per_second": 0.925, "step": 875 }, { "epoch": 125.71, "learning_rate": 1.942857142857143e-05, "loss": 1.3564, "step": 880 }, { "epoch": 126.0, "eval_accuracy": 0.6230769230769231, "eval_loss": 2.3176610469818115, "eval_runtime": 2.2283, "eval_samples_per_second": 58.34, "eval_steps_per_second": 0.898, "step": 882 }, { "epoch": 127.0, "eval_accuracy": 0.6615384615384615, "eval_loss": 2.263662099838257, "eval_runtime": 2.1946, "eval_samples_per_second": 59.236, "eval_steps_per_second": 0.911, "step": 889 }, { "epoch": 127.14, "learning_rate": 1.928571428571429e-05, "loss": 1.373, "step": 890 }, { "epoch": 128.0, "eval_accuracy": 0.6538461538461539, "eval_loss": 2.2609002590179443, "eval_runtime": 2.3121, "eval_samples_per_second": 56.225, "eval_steps_per_second": 0.865, "step": 896 }, { "epoch": 128.57, "learning_rate": 1.9142857142857146e-05, "loss": 1.346, "step": 900 }, { "epoch": 129.0, "eval_accuracy": 0.6538461538461539, "eval_loss": 2.259404182434082, "eval_runtime": 2.1822, "eval_samples_per_second": 59.572, "eval_steps_per_second": 0.916, "step": 903 }, { "epoch": 130.0, "learning_rate": 1.9e-05, "loss": 1.3307, "step": 910 }, { "epoch": 130.0, "eval_accuracy": 0.6538461538461539, "eval_loss": 2.2564494609832764, "eval_runtime": 2.3375, "eval_samples_per_second": 55.615, "eval_steps_per_second": 0.856, "step": 910 }, { "epoch": 131.0, "eval_accuracy": 0.6307692307692307, "eval_loss": 2.2525382041931152, "eval_runtime": 2.2827, "eval_samples_per_second": 56.95, "eval_steps_per_second": 0.876, "step": 917 }, { "epoch": 131.43, "learning_rate": 1.885714285714286e-05, "loss": 1.3124, "step": 920 }, { "epoch": 132.0, "eval_accuracy": 0.6461538461538462, "eval_loss": 2.218500852584839, "eval_runtime": 2.2212, "eval_samples_per_second": 58.526, "eval_steps_per_second": 0.9, "step": 924 }, { "epoch": 132.86, "learning_rate": 1.8714285714285717e-05, "loss": 1.2848, "step": 930 }, { "epoch": 133.0, "eval_accuracy": 0.6461538461538462, "eval_loss": 2.2194907665252686, "eval_runtime": 2.3384, "eval_samples_per_second": 55.594, "eval_steps_per_second": 0.855, "step": 931 }, { "epoch": 134.0, "eval_accuracy": 0.6307692307692307, "eval_loss": 2.204814910888672, "eval_runtime": 2.2103, "eval_samples_per_second": 58.814, "eval_steps_per_second": 0.905, "step": 938 }, { "epoch": 134.29, "learning_rate": 1.8571428571428575e-05, "loss": 1.256, "step": 940 }, { "epoch": 135.0, "eval_accuracy": 0.6461538461538462, "eval_loss": 2.193894624710083, "eval_runtime": 2.2027, "eval_samples_per_second": 59.018, "eval_steps_per_second": 0.908, "step": 945 }, { "epoch": 135.71, "learning_rate": 1.842857142857143e-05, "loss": 1.24, "step": 950 }, { "epoch": 136.0, "eval_accuracy": 0.6461538461538462, "eval_loss": 2.1721882820129395, "eval_runtime": 2.3539, "eval_samples_per_second": 55.226, "eval_steps_per_second": 0.85, "step": 952 }, { "epoch": 137.0, "eval_accuracy": 0.6846153846153846, "eval_loss": 2.1497113704681396, "eval_runtime": 2.1949, "eval_samples_per_second": 59.23, "eval_steps_per_second": 0.911, "step": 959 }, { "epoch": 137.14, "learning_rate": 1.8285714285714288e-05, "loss": 1.2318, "step": 960 }, { "epoch": 138.0, "eval_accuracy": 0.6846153846153846, "eval_loss": 2.1332032680511475, "eval_runtime": 2.2346, "eval_samples_per_second": 58.176, "eval_steps_per_second": 0.895, "step": 966 }, { "epoch": 138.57, "learning_rate": 1.8142857142857146e-05, "loss": 1.1905, "step": 970 }, { "epoch": 139.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 2.133913278579712, "eval_runtime": 2.1776, "eval_samples_per_second": 59.698, "eval_steps_per_second": 0.918, "step": 973 }, { "epoch": 140.0, "learning_rate": 1.8e-05, "loss": 1.186, "step": 980 }, { "epoch": 140.0, "eval_accuracy": 0.6692307692307692, "eval_loss": 2.1346120834350586, "eval_runtime": 2.3208, "eval_samples_per_second": 56.016, "eval_steps_per_second": 0.862, "step": 980 }, { "epoch": 141.0, "eval_accuracy": 0.7, "eval_loss": 2.092773914337158, "eval_runtime": 2.3738, "eval_samples_per_second": 54.764, "eval_steps_per_second": 0.843, "step": 987 }, { "epoch": 141.43, "learning_rate": 1.785714285714286e-05, "loss": 1.1759, "step": 990 }, { "epoch": 142.0, "eval_accuracy": 0.6846153846153846, "eval_loss": 2.1067099571228027, "eval_runtime": 2.356, "eval_samples_per_second": 55.178, "eval_steps_per_second": 0.849, "step": 994 }, { "epoch": 142.86, "learning_rate": 1.7714285714285717e-05, "loss": 1.132, "step": 1000 }, { "epoch": 143.0, "eval_accuracy": 0.6692307692307692, "eval_loss": 2.091548442840576, "eval_runtime": 2.3185, "eval_samples_per_second": 56.07, "eval_steps_per_second": 0.863, "step": 1001 }, { "epoch": 144.0, "eval_accuracy": 0.676923076923077, "eval_loss": 2.0903213024139404, "eval_runtime": 2.1804, "eval_samples_per_second": 59.622, "eval_steps_per_second": 0.917, "step": 1008 }, { "epoch": 144.29, "learning_rate": 1.757142857142857e-05, "loss": 1.1206, "step": 1010 }, { "epoch": 145.0, "eval_accuracy": 0.676923076923077, "eval_loss": 2.1074228286743164, "eval_runtime": 2.3685, "eval_samples_per_second": 54.887, "eval_steps_per_second": 0.844, "step": 1015 }, { "epoch": 145.71, "learning_rate": 1.742857142857143e-05, "loss": 1.1096, "step": 1020 }, { "epoch": 146.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 2.0536632537841797, "eval_runtime": 2.5866, "eval_samples_per_second": 50.259, "eval_steps_per_second": 0.773, "step": 1022 }, { "epoch": 147.0, "eval_accuracy": 0.7, "eval_loss": 2.061009407043457, "eval_runtime": 2.3206, "eval_samples_per_second": 56.021, "eval_steps_per_second": 0.862, "step": 1029 }, { "epoch": 147.14, "learning_rate": 1.7285714285714287e-05, "loss": 1.0814, "step": 1030 }, { "epoch": 148.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 2.0476534366607666, "eval_runtime": 2.1912, "eval_samples_per_second": 59.33, "eval_steps_per_second": 0.913, "step": 1036 }, { "epoch": 148.57, "learning_rate": 1.7142857142857142e-05, "loss": 1.0756, "step": 1040 }, { "epoch": 149.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 2.0184433460235596, "eval_runtime": 2.2139, "eval_samples_per_second": 58.72, "eval_steps_per_second": 0.903, "step": 1043 }, { "epoch": 150.0, "learning_rate": 1.7e-05, "loss": 1.0638, "step": 1050 }, { "epoch": 150.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 2.0189385414123535, "eval_runtime": 3.1458, "eval_samples_per_second": 41.325, "eval_steps_per_second": 0.636, "step": 1050 }, { "epoch": 151.0, "eval_accuracy": 0.7, "eval_loss": 2.01568865776062, "eval_runtime": 2.3668, "eval_samples_per_second": 54.926, "eval_steps_per_second": 0.845, "step": 1057 }, { "epoch": 151.43, "learning_rate": 1.6857142857142858e-05, "loss": 1.0343, "step": 1060 }, { "epoch": 152.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 1.9978599548339844, "eval_runtime": 2.3546, "eval_samples_per_second": 55.211, "eval_steps_per_second": 0.849, "step": 1064 }, { "epoch": 152.86, "learning_rate": 1.6714285714285716e-05, "loss": 1.0187, "step": 1070 }, { "epoch": 153.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 1.9824119806289673, "eval_runtime": 2.2036, "eval_samples_per_second": 58.995, "eval_steps_per_second": 0.908, "step": 1071 }, { "epoch": 154.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 1.968167781829834, "eval_runtime": 2.422, "eval_samples_per_second": 53.675, "eval_steps_per_second": 0.826, "step": 1078 }, { "epoch": 154.29, "learning_rate": 1.6571428571428574e-05, "loss": 0.9993, "step": 1080 }, { "epoch": 155.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 1.9394822120666504, "eval_runtime": 2.3562, "eval_samples_per_second": 55.175, "eval_steps_per_second": 0.849, "step": 1085 }, { "epoch": 155.71, "learning_rate": 1.642857142857143e-05, "loss": 1.0029, "step": 1090 }, { "epoch": 156.0, "eval_accuracy": 0.7153846153846154, "eval_loss": 1.920530080795288, "eval_runtime": 2.3989, "eval_samples_per_second": 54.191, "eval_steps_per_second": 0.834, "step": 1092 }, { "epoch": 157.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 1.906773567199707, "eval_runtime": 2.3766, "eval_samples_per_second": 54.699, "eval_steps_per_second": 0.842, "step": 1099 }, { "epoch": 157.14, "learning_rate": 1.6285714285714287e-05, "loss": 0.9703, "step": 1100 }, { "epoch": 158.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.899588704109192, "eval_runtime": 2.3516, "eval_samples_per_second": 55.282, "eval_steps_per_second": 0.85, "step": 1106 }, { "epoch": 158.57, "learning_rate": 1.6142857142857145e-05, "loss": 0.9532, "step": 1110 }, { "epoch": 159.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 1.8944636583328247, "eval_runtime": 2.2108, "eval_samples_per_second": 58.803, "eval_steps_per_second": 0.905, "step": 1113 }, { "epoch": 160.0, "learning_rate": 1.6000000000000003e-05, "loss": 0.9526, "step": 1120 }, { "epoch": 160.0, "eval_accuracy": 0.7307692307692307, "eval_loss": 1.8939263820648193, "eval_runtime": 2.2202, "eval_samples_per_second": 58.553, "eval_steps_per_second": 0.901, "step": 1120 }, { "epoch": 161.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 1.8937941789627075, "eval_runtime": 2.3259, "eval_samples_per_second": 55.892, "eval_steps_per_second": 0.86, "step": 1127 }, { "epoch": 161.43, "learning_rate": 1.5857142857142857e-05, "loss": 0.9365, "step": 1130 }, { "epoch": 162.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.8544682264328003, "eval_runtime": 2.1829, "eval_samples_per_second": 59.554, "eval_steps_per_second": 0.916, "step": 1134 }, { "epoch": 162.86, "learning_rate": 1.5714285714285715e-05, "loss": 0.9301, "step": 1140 }, { "epoch": 163.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.860898733139038, "eval_runtime": 2.2861, "eval_samples_per_second": 56.864, "eval_steps_per_second": 0.875, "step": 1141 }, { "epoch": 164.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 1.8540517091751099, "eval_runtime": 2.2092, "eval_samples_per_second": 58.844, "eval_steps_per_second": 0.905, "step": 1148 }, { "epoch": 164.29, "learning_rate": 1.5571428571428573e-05, "loss": 0.8856, "step": 1150 }, { "epoch": 165.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 1.884601354598999, "eval_runtime": 2.2447, "eval_samples_per_second": 57.915, "eval_steps_per_second": 0.891, "step": 1155 }, { "epoch": 165.71, "learning_rate": 1.542857142857143e-05, "loss": 0.8801, "step": 1160 }, { "epoch": 166.0, "eval_accuracy": 0.7076923076923077, "eval_loss": 1.867126226425171, "eval_runtime": 2.2028, "eval_samples_per_second": 59.017, "eval_steps_per_second": 0.908, "step": 1162 }, { "epoch": 167.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 1.8465133905410767, "eval_runtime": 2.3398, "eval_samples_per_second": 55.559, "eval_steps_per_second": 0.855, "step": 1169 }, { "epoch": 167.14, "learning_rate": 1.5285714285714286e-05, "loss": 0.8898, "step": 1170 }, { "epoch": 168.0, "eval_accuracy": 0.7230769230769231, "eval_loss": 1.8428664207458496, "eval_runtime": 2.1983, "eval_samples_per_second": 59.138, "eval_steps_per_second": 0.91, "step": 1176 }, { "epoch": 168.57, "learning_rate": 1.5142857142857144e-05, "loss": 0.8729, "step": 1180 }, { "epoch": 169.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.832564115524292, "eval_runtime": 2.357, "eval_samples_per_second": 55.155, "eval_steps_per_second": 0.849, "step": 1183 }, { "epoch": 170.0, "learning_rate": 1.5000000000000002e-05, "loss": 0.8632, "step": 1190 }, { "epoch": 170.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.810370683670044, "eval_runtime": 2.4307, "eval_samples_per_second": 53.483, "eval_steps_per_second": 0.823, "step": 1190 }, { "epoch": 171.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.8017692565917969, "eval_runtime": 2.2052, "eval_samples_per_second": 58.951, "eval_steps_per_second": 0.907, "step": 1197 }, { "epoch": 171.43, "learning_rate": 1.4857142857142858e-05, "loss": 0.8423, "step": 1200 }, { "epoch": 172.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.7875727415084839, "eval_runtime": 2.3658, "eval_samples_per_second": 54.949, "eval_steps_per_second": 0.845, "step": 1204 }, { "epoch": 172.86, "learning_rate": 1.4714285714285716e-05, "loss": 0.828, "step": 1210 }, { "epoch": 173.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.787375569343567, "eval_runtime": 2.2488, "eval_samples_per_second": 57.808, "eval_steps_per_second": 0.889, "step": 1211 }, { "epoch": 174.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.7785577774047852, "eval_runtime": 2.3295, "eval_samples_per_second": 55.807, "eval_steps_per_second": 0.859, "step": 1218 }, { "epoch": 174.29, "learning_rate": 1.4571428571428573e-05, "loss": 0.8063, "step": 1220 }, { "epoch": 175.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.7820396423339844, "eval_runtime": 2.2553, "eval_samples_per_second": 57.642, "eval_steps_per_second": 0.887, "step": 1225 }, { "epoch": 175.71, "learning_rate": 1.4428571428571429e-05, "loss": 0.8084, "step": 1230 }, { "epoch": 176.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.800405502319336, "eval_runtime": 2.303, "eval_samples_per_second": 56.447, "eval_steps_per_second": 0.868, "step": 1232 }, { "epoch": 177.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.787461757659912, "eval_runtime": 2.2538, "eval_samples_per_second": 57.679, "eval_steps_per_second": 0.887, "step": 1239 }, { "epoch": 177.14, "learning_rate": 1.4285714285714287e-05, "loss": 0.7948, "step": 1240 }, { "epoch": 178.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.7639268636703491, "eval_runtime": 2.3516, "eval_samples_per_second": 55.281, "eval_steps_per_second": 0.85, "step": 1246 }, { "epoch": 178.57, "learning_rate": 1.4142857142857145e-05, "loss": 0.7687, "step": 1250 }, { "epoch": 179.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.7797616720199585, "eval_runtime": 2.2016, "eval_samples_per_second": 59.047, "eval_steps_per_second": 0.908, "step": 1253 }, { "epoch": 180.0, "learning_rate": 1.4e-05, "loss": 0.7598, "step": 1260 }, { "epoch": 180.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.7775954008102417, "eval_runtime": 2.2652, "eval_samples_per_second": 57.389, "eval_steps_per_second": 0.883, "step": 1260 }, { "epoch": 181.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.7582831382751465, "eval_runtime": 2.3301, "eval_samples_per_second": 55.792, "eval_steps_per_second": 0.858, "step": 1267 }, { "epoch": 181.43, "learning_rate": 1.3857142857142858e-05, "loss": 0.7622, "step": 1270 }, { "epoch": 182.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.7546014785766602, "eval_runtime": 2.3427, "eval_samples_per_second": 55.493, "eval_steps_per_second": 0.854, "step": 1274 }, { "epoch": 182.86, "learning_rate": 1.3714285714285716e-05, "loss": 0.754, "step": 1280 }, { "epoch": 183.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.7243136167526245, "eval_runtime": 2.2386, "eval_samples_per_second": 58.071, "eval_steps_per_second": 0.893, "step": 1281 }, { "epoch": 184.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.7218064069747925, "eval_runtime": 2.3487, "eval_samples_per_second": 55.35, "eval_steps_per_second": 0.852, "step": 1288 }, { "epoch": 184.29, "learning_rate": 1.3571428571428574e-05, "loss": 0.7397, "step": 1290 }, { "epoch": 185.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.6983821392059326, "eval_runtime": 2.2077, "eval_samples_per_second": 58.886, "eval_steps_per_second": 0.906, "step": 1295 }, { "epoch": 185.71, "learning_rate": 1.3428571428571429e-05, "loss": 0.7171, "step": 1300 }, { "epoch": 186.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.6678060293197632, "eval_runtime": 2.3645, "eval_samples_per_second": 54.98, "eval_steps_per_second": 0.846, "step": 1302 }, { "epoch": 187.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.6591731309890747, "eval_runtime": 2.3411, "eval_samples_per_second": 55.529, "eval_steps_per_second": 0.854, "step": 1309 }, { "epoch": 187.14, "learning_rate": 1.3285714285714287e-05, "loss": 0.7351, "step": 1310 }, { "epoch": 188.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.67545747756958, "eval_runtime": 2.2255, "eval_samples_per_second": 58.414, "eval_steps_per_second": 0.899, "step": 1316 }, { "epoch": 188.57, "learning_rate": 1.3142857142857145e-05, "loss": 0.717, "step": 1320 }, { "epoch": 189.0, "eval_accuracy": 0.7846153846153846, "eval_loss": 1.6684316396713257, "eval_runtime": 2.2461, "eval_samples_per_second": 57.879, "eval_steps_per_second": 0.89, "step": 1323 }, { "epoch": 190.0, "learning_rate": 1.3000000000000001e-05, "loss": 0.703, "step": 1330 }, { "epoch": 190.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.6624796390533447, "eval_runtime": 2.3197, "eval_samples_per_second": 56.043, "eval_steps_per_second": 0.862, "step": 1330 }, { "epoch": 191.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.6624727249145508, "eval_runtime": 2.2578, "eval_samples_per_second": 57.577, "eval_steps_per_second": 0.886, "step": 1337 }, { "epoch": 191.43, "learning_rate": 1.2857142857142859e-05, "loss": 0.7036, "step": 1340 }, { "epoch": 192.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.6422407627105713, "eval_runtime": 2.4009, "eval_samples_per_second": 54.146, "eval_steps_per_second": 0.833, "step": 1344 }, { "epoch": 192.86, "learning_rate": 1.2714285714285715e-05, "loss": 0.698, "step": 1350 }, { "epoch": 193.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.6632704734802246, "eval_runtime": 2.2565, "eval_samples_per_second": 57.612, "eval_steps_per_second": 0.886, "step": 1351 }, { "epoch": 194.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.663210153579712, "eval_runtime": 2.3463, "eval_samples_per_second": 55.406, "eval_steps_per_second": 0.852, "step": 1358 }, { "epoch": 194.29, "learning_rate": 1.2571428571428572e-05, "loss": 0.7002, "step": 1360 }, { "epoch": 195.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.6452277898788452, "eval_runtime": 2.2223, "eval_samples_per_second": 58.497, "eval_steps_per_second": 0.9, "step": 1365 }, { "epoch": 195.71, "learning_rate": 1.242857142857143e-05, "loss": 0.6662, "step": 1370 }, { "epoch": 196.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.6403251886367798, "eval_runtime": 2.3447, "eval_samples_per_second": 55.444, "eval_steps_per_second": 0.853, "step": 1372 }, { "epoch": 197.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.627591848373413, "eval_runtime": 2.3495, "eval_samples_per_second": 55.332, "eval_steps_per_second": 0.851, "step": 1379 }, { "epoch": 197.14, "learning_rate": 1.2285714285714288e-05, "loss": 0.6771, "step": 1380 }, { "epoch": 198.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.6097954511642456, "eval_runtime": 2.2213, "eval_samples_per_second": 58.524, "eval_steps_per_second": 0.9, "step": 1386 }, { "epoch": 198.57, "learning_rate": 1.2142857142857142e-05, "loss": 0.6588, "step": 1390 }, { "epoch": 199.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.622355580329895, "eval_runtime": 2.2376, "eval_samples_per_second": 58.098, "eval_steps_per_second": 0.894, "step": 1393 }, { "epoch": 200.0, "learning_rate": 1.2e-05, "loss": 0.6549, "step": 1400 }, { "epoch": 200.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.6263408660888672, "eval_runtime": 2.3312, "eval_samples_per_second": 55.765, "eval_steps_per_second": 0.858, "step": 1400 }, { "epoch": 200.0, "step": 1400, "total_flos": 8.062778508115968e+18, "train_loss": 0.39147548845836094, "train_runtime": 3403.5317, "train_samples_per_second": 30.556, "train_steps_per_second": 0.411 }, { "epoch": 201.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.6449843645095825, "eval_runtime": 2.095, "eval_samples_per_second": 62.053, "eval_steps_per_second": 0.955, "step": 1407 }, { "epoch": 201.43, "learning_rate": 1.988571428571429e-05, "loss": 0.706, "step": 1410 }, { "epoch": 202.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.646350622177124, "eval_runtime": 2.1984, "eval_samples_per_second": 59.134, "eval_steps_per_second": 0.91, "step": 1414 }, { "epoch": 202.86, "learning_rate": 1.9771428571428574e-05, "loss": 0.6746, "step": 1420 }, { "epoch": 203.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.6431909799575806, "eval_runtime": 2.1397, "eval_samples_per_second": 60.755, "eval_steps_per_second": 0.935, "step": 1421 }, { "epoch": 204.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.6220970153808594, "eval_runtime": 2.2125, "eval_samples_per_second": 58.756, "eval_steps_per_second": 0.904, "step": 1428 }, { "epoch": 204.29, "learning_rate": 1.9657142857142858e-05, "loss": 0.6282, "step": 1430 }, { "epoch": 205.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.5988324880599976, "eval_runtime": 2.3558, "eval_samples_per_second": 55.182, "eval_steps_per_second": 0.849, "step": 1435 }, { "epoch": 205.71, "learning_rate": 1.9542857142857143e-05, "loss": 0.618, "step": 1440 }, { "epoch": 206.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.6031513214111328, "eval_runtime": 2.2121, "eval_samples_per_second": 58.767, "eval_steps_per_second": 0.904, "step": 1442 }, { "epoch": 207.0, "eval_accuracy": 0.7923076923076923, "eval_loss": 1.561190128326416, "eval_runtime": 2.2132, "eval_samples_per_second": 58.739, "eval_steps_per_second": 0.904, "step": 1449 }, { "epoch": 207.14, "learning_rate": 1.942857142857143e-05, "loss": 0.6053, "step": 1450 }, { "epoch": 208.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.5888561010360718, "eval_runtime": 2.1847, "eval_samples_per_second": 59.504, "eval_steps_per_second": 0.915, "step": 1456 }, { "epoch": 208.57, "learning_rate": 1.9314285714285718e-05, "loss": 0.5977, "step": 1460 }, { "epoch": 209.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.566961646080017, "eval_runtime": 2.2023, "eval_samples_per_second": 59.03, "eval_steps_per_second": 0.908, "step": 1463 }, { "epoch": 210.0, "learning_rate": 1.9200000000000003e-05, "loss": 0.6131, "step": 1470 }, { "epoch": 210.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.5975637435913086, "eval_runtime": 2.3397, "eval_samples_per_second": 55.564, "eval_steps_per_second": 0.855, "step": 1470 }, { "epoch": 211.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.5593103170394897, "eval_runtime": 2.2361, "eval_samples_per_second": 58.136, "eval_steps_per_second": 0.894, "step": 1477 }, { "epoch": 211.43, "learning_rate": 1.9085714285714287e-05, "loss": 0.5753, "step": 1480 }, { "epoch": 212.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.5974284410476685, "eval_runtime": 2.3233, "eval_samples_per_second": 55.955, "eval_steps_per_second": 0.861, "step": 1484 }, { "epoch": 212.86, "learning_rate": 1.8971428571428575e-05, "loss": 0.576, "step": 1490 }, { "epoch": 213.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.573266863822937, "eval_runtime": 2.2312, "eval_samples_per_second": 58.264, "eval_steps_per_second": 0.896, "step": 1491 }, { "epoch": 214.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.497517466545105, "eval_runtime": 2.3929, "eval_samples_per_second": 54.328, "eval_steps_per_second": 0.836, "step": 1498 }, { "epoch": 214.29, "learning_rate": 1.885714285714286e-05, "loss": 0.5744, "step": 1500 }, { "epoch": 215.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.562217116355896, "eval_runtime": 2.2169, "eval_samples_per_second": 58.642, "eval_steps_per_second": 0.902, "step": 1505 }, { "epoch": 215.71, "learning_rate": 1.8742857142857143e-05, "loss": 0.5658, "step": 1510 }, { "epoch": 216.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.5334222316741943, "eval_runtime": 2.3054, "eval_samples_per_second": 56.388, "eval_steps_per_second": 0.868, "step": 1512 }, { "epoch": 217.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.5438138246536255, "eval_runtime": 2.3277, "eval_samples_per_second": 55.849, "eval_steps_per_second": 0.859, "step": 1519 }, { "epoch": 217.14, "learning_rate": 1.8628571428571428e-05, "loss": 0.5507, "step": 1520 }, { "epoch": 218.0, "eval_accuracy": 0.7307692307692307, "eval_loss": 1.5617175102233887, "eval_runtime": 2.3945, "eval_samples_per_second": 54.291, "eval_steps_per_second": 0.835, "step": 1526 }, { "epoch": 218.57, "learning_rate": 1.8514285714285716e-05, "loss": 0.5474, "step": 1530 }, { "epoch": 219.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.542279601097107, "eval_runtime": 2.1837, "eval_samples_per_second": 59.533, "eval_steps_per_second": 0.916, "step": 1533 }, { "epoch": 220.0, "learning_rate": 1.8400000000000003e-05, "loss": 0.5095, "step": 1540 }, { "epoch": 220.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.509877324104309, "eval_runtime": 2.1925, "eval_samples_per_second": 59.293, "eval_steps_per_second": 0.912, "step": 1540 }, { "epoch": 221.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.5009371042251587, "eval_runtime": 2.1917, "eval_samples_per_second": 59.315, "eval_steps_per_second": 0.913, "step": 1547 }, { "epoch": 221.43, "learning_rate": 1.8285714285714288e-05, "loss": 0.5263, "step": 1550 }, { "epoch": 222.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.4717506170272827, "eval_runtime": 2.1826, "eval_samples_per_second": 59.561, "eval_steps_per_second": 0.916, "step": 1554 }, { "epoch": 222.86, "learning_rate": 1.8171428571428572e-05, "loss": 0.4934, "step": 1560 }, { "epoch": 223.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.5150481462478638, "eval_runtime": 2.1689, "eval_samples_per_second": 59.939, "eval_steps_per_second": 0.922, "step": 1561 }, { "epoch": 224.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.5133140087127686, "eval_runtime": 2.2493, "eval_samples_per_second": 57.795, "eval_steps_per_second": 0.889, "step": 1568 }, { "epoch": 224.29, "learning_rate": 1.8057142857142857e-05, "loss": 0.4935, "step": 1570 }, { "epoch": 225.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.5053058862686157, "eval_runtime": 2.2888, "eval_samples_per_second": 56.799, "eval_steps_per_second": 0.874, "step": 1575 }, { "epoch": 225.71, "learning_rate": 1.7942857142857144e-05, "loss": 0.4808, "step": 1580 }, { "epoch": 226.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.5152372121810913, "eval_runtime": 2.3287, "eval_samples_per_second": 55.824, "eval_steps_per_second": 0.859, "step": 1582 }, { "epoch": 227.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.521767497062683, "eval_runtime": 2.2464, "eval_samples_per_second": 57.871, "eval_steps_per_second": 0.89, "step": 1589 }, { "epoch": 227.14, "learning_rate": 1.7828571428571432e-05, "loss": 0.5039, "step": 1590 }, { "epoch": 228.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.4631297588348389, "eval_runtime": 2.1868, "eval_samples_per_second": 59.449, "eval_steps_per_second": 0.915, "step": 1596 }, { "epoch": 228.57, "learning_rate": 1.7714285714285717e-05, "loss": 0.4516, "step": 1600 }, { "epoch": 229.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.4795747995376587, "eval_runtime": 2.3162, "eval_samples_per_second": 56.126, "eval_steps_per_second": 0.863, "step": 1603 }, { "epoch": 230.0, "learning_rate": 1.76e-05, "loss": 0.4655, "step": 1610 }, { "epoch": 230.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.4648711681365967, "eval_runtime": 2.3186, "eval_samples_per_second": 56.068, "eval_steps_per_second": 0.863, "step": 1610 }, { "epoch": 231.0, "eval_accuracy": 0.7846153846153846, "eval_loss": 1.4528415203094482, "eval_runtime": 2.2367, "eval_samples_per_second": 58.12, "eval_steps_per_second": 0.894, "step": 1617 }, { "epoch": 231.43, "learning_rate": 1.748571428571429e-05, "loss": 0.4487, "step": 1620 }, { "epoch": 232.0, "eval_accuracy": 0.7769230769230769, "eval_loss": 1.4157787561416626, "eval_runtime": 2.2157, "eval_samples_per_second": 58.673, "eval_steps_per_second": 0.903, "step": 1624 }, { "epoch": 232.86, "learning_rate": 1.7371428571428573e-05, "loss": 0.453, "step": 1630 }, { "epoch": 233.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.4378057718276978, "eval_runtime": 2.2298, "eval_samples_per_second": 58.301, "eval_steps_per_second": 0.897, "step": 1631 }, { "epoch": 234.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.4233053922653198, "eval_runtime": 2.2254, "eval_samples_per_second": 58.416, "eval_steps_per_second": 0.899, "step": 1638 }, { "epoch": 234.29, "learning_rate": 1.7257142857142857e-05, "loss": 0.4248, "step": 1640 }, { "epoch": 235.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.4437103271484375, "eval_runtime": 2.2018, "eval_samples_per_second": 59.042, "eval_steps_per_second": 0.908, "step": 1645 }, { "epoch": 235.71, "learning_rate": 1.7142857142857142e-05, "loss": 0.4103, "step": 1650 }, { "epoch": 236.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.4489341974258423, "eval_runtime": 2.3267, "eval_samples_per_second": 55.872, "eval_steps_per_second": 0.86, "step": 1652 }, { "epoch": 237.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.437820315361023, "eval_runtime": 2.2082, "eval_samples_per_second": 58.871, "eval_steps_per_second": 0.906, "step": 1659 }, { "epoch": 237.14, "learning_rate": 1.702857142857143e-05, "loss": 0.4146, "step": 1660 }, { "epoch": 238.0, "eval_accuracy": 0.7384615384615385, "eval_loss": 1.4532761573791504, "eval_runtime": 2.2013, "eval_samples_per_second": 59.057, "eval_steps_per_second": 0.909, "step": 1666 }, { "epoch": 238.57, "learning_rate": 1.6914285714285717e-05, "loss": 0.4313, "step": 1670 }, { "epoch": 239.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.444754958152771, "eval_runtime": 2.2195, "eval_samples_per_second": 58.573, "eval_steps_per_second": 0.901, "step": 1673 }, { "epoch": 240.0, "learning_rate": 1.6800000000000002e-05, "loss": 0.408, "step": 1680 }, { "epoch": 240.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.428984522819519, "eval_runtime": 2.3419, "eval_samples_per_second": 55.51, "eval_steps_per_second": 0.854, "step": 1680 }, { "epoch": 241.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.4546881914138794, "eval_runtime": 2.2356, "eval_samples_per_second": 58.149, "eval_steps_per_second": 0.895, "step": 1687 }, { "epoch": 241.43, "learning_rate": 1.6685714285714286e-05, "loss": 0.4145, "step": 1690 }, { "epoch": 242.0, "eval_accuracy": 0.7461538461538462, "eval_loss": 1.3930408954620361, "eval_runtime": 2.2411, "eval_samples_per_second": 58.006, "eval_steps_per_second": 0.892, "step": 1694 }, { "epoch": 242.86, "learning_rate": 1.6571428571428574e-05, "loss": 0.4193, "step": 1700 }, { "epoch": 243.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.4186941385269165, "eval_runtime": 2.3409, "eval_samples_per_second": 55.534, "eval_steps_per_second": 0.854, "step": 1701 }, { "epoch": 244.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.3854211568832397, "eval_runtime": 2.288, "eval_samples_per_second": 56.817, "eval_steps_per_second": 0.874, "step": 1708 }, { "epoch": 244.29, "learning_rate": 1.645714285714286e-05, "loss": 0.3951, "step": 1710 }, { "epoch": 245.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.3977891206741333, "eval_runtime": 2.2608, "eval_samples_per_second": 57.502, "eval_steps_per_second": 0.885, "step": 1715 }, { "epoch": 245.71, "learning_rate": 1.6342857142857146e-05, "loss": 0.3871, "step": 1720 }, { "epoch": 246.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.3596566915512085, "eval_runtime": 2.3275, "eval_samples_per_second": 55.853, "eval_steps_per_second": 0.859, "step": 1722 }, { "epoch": 247.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.346314549446106, "eval_runtime": 2.3219, "eval_samples_per_second": 55.989, "eval_steps_per_second": 0.861, "step": 1729 }, { "epoch": 247.14, "learning_rate": 1.622857142857143e-05, "loss": 0.3679, "step": 1730 }, { "epoch": 248.0, "eval_accuracy": 0.7615384615384615, "eval_loss": 1.3439607620239258, "eval_runtime": 2.249, "eval_samples_per_second": 57.803, "eval_steps_per_second": 0.889, "step": 1736 }, { "epoch": 248.57, "learning_rate": 1.6114285714285715e-05, "loss": 0.3788, "step": 1740 }, { "epoch": 249.0, "eval_accuracy": 0.7692307692307693, "eval_loss": 1.3646103143692017, "eval_runtime": 2.1853, "eval_samples_per_second": 59.489, "eval_steps_per_second": 0.915, "step": 1743 }, { "epoch": 250.0, "learning_rate": 1.6000000000000003e-05, "loss": 0.379, "step": 1750 }, { "epoch": 250.0, "eval_accuracy": 0.7538461538461538, "eval_loss": 1.3682621717453003, "eval_runtime": 2.2333, "eval_samples_per_second": 58.209, "eval_steps_per_second": 0.896, "step": 1750 }, { "epoch": 250.0, "step": 1750, "total_flos": 1.007847313514496e+19, "train_loss": 0.09994067628043038, "train_runtime": 2169.5998, "train_samples_per_second": 59.919, "train_steps_per_second": 0.807 } ], "logging_steps": 10, "max_steps": 1750, "num_input_tokens_seen": 0, "num_train_epochs": 250, "save_steps": 500, "total_flos": 1.007847313514496e+19, "train_batch_size": 80, "trial_name": null, "trial_params": null }