{ "best_metric": 0.8697857948139797, "best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-lora-ISIC-2019/checkpoint-5125", "epoch": 99.2, "eval_steps": 500, "global_step": 6200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.16, "learning_rate": 0.0009983870967741936, "loss": 1.7219, "step": 10 }, { "epoch": 0.32, "learning_rate": 0.0009967741935483871, "loss": 1.3003, "step": 20 }, { "epoch": 0.48, "learning_rate": 0.0009951612903225807, "loss": 1.1303, "step": 30 }, { "epoch": 0.64, "learning_rate": 0.0009935483870967743, "loss": 1.0819, "step": 40 }, { "epoch": 0.8, "learning_rate": 0.0009919354838709678, "loss": 1.0046, "step": 50 }, { "epoch": 0.96, "learning_rate": 0.0009903225806451614, "loss": 1.0273, "step": 60 }, { "epoch": 0.99, "eval_accuracy": 0.6629086809470124, "eval_loss": 0.9625440239906311, "eval_runtime": 47.077, "eval_samples_per_second": 37.683, "eval_steps_per_second": 0.595, "step": 62 }, { "epoch": 1.12, "learning_rate": 0.000988709677419355, "loss": 0.9252, "step": 70 }, { "epoch": 1.28, "learning_rate": 0.0009870967741935483, "loss": 0.9336, "step": 80 }, { "epoch": 1.44, "learning_rate": 0.000985483870967742, "loss": 0.9069, "step": 90 }, { "epoch": 1.6, "learning_rate": 0.0009838709677419356, "loss": 0.8775, "step": 100 }, { "epoch": 1.76, "learning_rate": 0.0009822580645161292, "loss": 0.8402, "step": 110 }, { "epoch": 1.92, "learning_rate": 0.0009806451612903225, "loss": 0.8456, "step": 120 }, { "epoch": 2.0, "eval_accuracy": 0.6989853438556933, "eval_loss": 0.8067747950553894, "eval_runtime": 46.3737, "eval_samples_per_second": 38.254, "eval_steps_per_second": 0.604, "step": 125 }, { "epoch": 2.08, "learning_rate": 0.000979032258064516, "loss": 0.8235, "step": 130 }, { "epoch": 2.24, "learning_rate": 0.0009774193548387096, "loss": 0.804, "step": 140 }, { "epoch": 2.4, "learning_rate": 0.0009758064516129033, "loss": 0.7431, "step": 150 }, { "epoch": 2.56, "learning_rate": 0.0009741935483870968, "loss": 0.7396, "step": 160 }, { "epoch": 2.72, "learning_rate": 0.0009725806451612903, "loss": 0.7445, "step": 170 }, { "epoch": 2.88, "learning_rate": 0.0009709677419354839, "loss": 0.771, "step": 180 }, { "epoch": 2.99, "eval_accuracy": 0.7361894024802705, "eval_loss": 0.7125946283340454, "eval_runtime": 48.6481, "eval_samples_per_second": 36.466, "eval_steps_per_second": 0.576, "step": 187 }, { "epoch": 3.04, "learning_rate": 0.0009693548387096774, "loss": 0.7465, "step": 190 }, { "epoch": 3.2, "learning_rate": 0.000967741935483871, "loss": 0.6992, "step": 200 }, { "epoch": 3.36, "learning_rate": 0.0009661290322580646, "loss": 0.727, "step": 210 }, { "epoch": 3.52, "learning_rate": 0.0009645161290322581, "loss": 0.7012, "step": 220 }, { "epoch": 3.68, "learning_rate": 0.0009629032258064516, "loss": 0.6845, "step": 230 }, { "epoch": 3.84, "learning_rate": 0.0009612903225806452, "loss": 0.6944, "step": 240 }, { "epoch": 4.0, "learning_rate": 0.0009596774193548388, "loss": 0.682, "step": 250 }, { "epoch": 4.0, "eval_accuracy": 0.7497181510710259, "eval_loss": 0.6901255249977112, "eval_runtime": 28.1416, "eval_samples_per_second": 63.038, "eval_steps_per_second": 0.995, "step": 250 }, { "epoch": 4.16, "learning_rate": 0.0009580645161290322, "loss": 0.6684, "step": 260 }, { "epoch": 4.32, "learning_rate": 0.0009564516129032258, "loss": 0.6545, "step": 270 }, { "epoch": 4.48, "learning_rate": 0.0009548387096774193, "loss": 0.657, "step": 280 }, { "epoch": 4.64, "learning_rate": 0.000953225806451613, "loss": 0.6439, "step": 290 }, { "epoch": 4.8, "learning_rate": 0.0009516129032258065, "loss": 0.6307, "step": 300 }, { "epoch": 4.96, "learning_rate": 0.00095, "loss": 0.641, "step": 310 }, { "epoch": 4.99, "eval_accuracy": 0.7570462232243518, "eval_loss": 0.6499941945075989, "eval_runtime": 28.131, "eval_samples_per_second": 63.062, "eval_steps_per_second": 0.995, "step": 312 }, { "epoch": 5.12, "learning_rate": 0.0009483870967741936, "loss": 0.6175, "step": 320 }, { "epoch": 5.28, "learning_rate": 0.0009467741935483871, "loss": 0.6139, "step": 330 }, { "epoch": 5.44, "learning_rate": 0.0009451612903225807, "loss": 0.6091, "step": 340 }, { "epoch": 5.6, "learning_rate": 0.0009435483870967742, "loss": 0.59, "step": 350 }, { "epoch": 5.76, "learning_rate": 0.0009419354838709677, "loss": 0.6034, "step": 360 }, { "epoch": 5.92, "learning_rate": 0.0009403225806451613, "loss": 0.569, "step": 370 }, { "epoch": 6.0, "eval_accuracy": 0.7638105975197295, "eval_loss": 0.645984947681427, "eval_runtime": 28.0361, "eval_samples_per_second": 63.276, "eval_steps_per_second": 0.999, "step": 375 }, { "epoch": 6.08, "learning_rate": 0.0009387096774193549, "loss": 0.6036, "step": 380 }, { "epoch": 6.24, "learning_rate": 0.0009370967741935485, "loss": 0.5876, "step": 390 }, { "epoch": 6.4, "learning_rate": 0.0009354838709677419, "loss": 0.5796, "step": 400 }, { "epoch": 6.56, "learning_rate": 0.0009338709677419355, "loss": 0.5397, "step": 410 }, { "epoch": 6.72, "learning_rate": 0.000932258064516129, "loss": 0.5535, "step": 420 }, { "epoch": 6.88, "learning_rate": 0.0009306451612903226, "loss": 0.5696, "step": 430 }, { "epoch": 6.99, "eval_accuracy": 0.7795941375422774, "eval_loss": 0.5974171757698059, "eval_runtime": 28.0898, "eval_samples_per_second": 63.155, "eval_steps_per_second": 0.997, "step": 437 }, { "epoch": 7.04, "learning_rate": 0.0009290322580645161, "loss": 0.556, "step": 440 }, { "epoch": 7.2, "learning_rate": 0.0009274193548387097, "loss": 0.5536, "step": 450 }, { "epoch": 7.36, "learning_rate": 0.0009258064516129033, "loss": 0.5497, "step": 460 }, { "epoch": 7.52, "learning_rate": 0.0009241935483870968, "loss": 0.5626, "step": 470 }, { "epoch": 7.68, "learning_rate": 0.0009225806451612904, "loss": 0.5352, "step": 480 }, { "epoch": 7.84, "learning_rate": 0.0009209677419354839, "loss": 0.5656, "step": 490 }, { "epoch": 8.0, "learning_rate": 0.0009193548387096774, "loss": 0.5411, "step": 500 }, { "epoch": 8.0, "eval_accuracy": 0.7795941375422774, "eval_loss": 0.607583224773407, "eval_runtime": 28.0445, "eval_samples_per_second": 63.257, "eval_steps_per_second": 0.998, "step": 500 }, { "epoch": 8.16, "learning_rate": 0.0009177419354838709, "loss": 0.5269, "step": 510 }, { "epoch": 8.32, "learning_rate": 0.0009161290322580645, "loss": 0.4964, "step": 520 }, { "epoch": 8.48, "learning_rate": 0.0009145161290322582, "loss": 0.5051, "step": 530 }, { "epoch": 8.64, "learning_rate": 0.0009129032258064517, "loss": 0.4851, "step": 540 }, { "epoch": 8.8, "learning_rate": 0.0009112903225806452, "loss": 0.5234, "step": 550 }, { "epoch": 8.96, "learning_rate": 0.0009096774193548387, "loss": 0.5015, "step": 560 }, { "epoch": 8.99, "eval_accuracy": 0.7880496054114995, "eval_loss": 0.5632555484771729, "eval_runtime": 28.0469, "eval_samples_per_second": 63.251, "eval_steps_per_second": 0.998, "step": 562 }, { "epoch": 9.12, "learning_rate": 0.0009080645161290323, "loss": 0.4887, "step": 570 }, { "epoch": 9.28, "learning_rate": 0.0009064516129032259, "loss": 0.4903, "step": 580 }, { "epoch": 9.44, "learning_rate": 0.0009048387096774193, "loss": 0.4753, "step": 590 }, { "epoch": 9.6, "learning_rate": 0.0009032258064516129, "loss": 0.4818, "step": 600 }, { "epoch": 9.76, "learning_rate": 0.0009016129032258064, "loss": 0.4992, "step": 610 }, { "epoch": 9.92, "learning_rate": 0.0009000000000000001, "loss": 0.4999, "step": 620 }, { "epoch": 10.0, "eval_accuracy": 0.7891770011273957, "eval_loss": 0.5725666284561157, "eval_runtime": 28.1997, "eval_samples_per_second": 62.909, "eval_steps_per_second": 0.993, "step": 625 }, { "epoch": 10.08, "learning_rate": 0.0008983870967741936, "loss": 0.492, "step": 630 }, { "epoch": 10.24, "learning_rate": 0.0008967741935483871, "loss": 0.4499, "step": 640 }, { "epoch": 10.4, "learning_rate": 0.0008951612903225806, "loss": 0.4381, "step": 650 }, { "epoch": 10.56, "learning_rate": 0.0008935483870967742, "loss": 0.4625, "step": 660 }, { "epoch": 10.72, "learning_rate": 0.0008919354838709678, "loss": 0.4654, "step": 670 }, { "epoch": 10.88, "learning_rate": 0.0008903225806451613, "loss": 0.4569, "step": 680 }, { "epoch": 10.99, "eval_accuracy": 0.7993235625704622, "eval_loss": 0.5587171316146851, "eval_runtime": 28.1042, "eval_samples_per_second": 63.122, "eval_steps_per_second": 0.996, "step": 687 }, { "epoch": 11.04, "learning_rate": 0.0008887096774193548, "loss": 0.4954, "step": 690 }, { "epoch": 11.2, "learning_rate": 0.0008870967741935484, "loss": 0.4597, "step": 700 }, { "epoch": 11.36, "learning_rate": 0.000885483870967742, "loss": 0.4272, "step": 710 }, { "epoch": 11.52, "learning_rate": 0.0008838709677419356, "loss": 0.4457, "step": 720 }, { "epoch": 11.68, "learning_rate": 0.000882258064516129, "loss": 0.4292, "step": 730 }, { "epoch": 11.84, "learning_rate": 0.0008806451612903226, "loss": 0.4469, "step": 740 }, { "epoch": 12.0, "learning_rate": 0.0008790322580645161, "loss": 0.4348, "step": 750 }, { "epoch": 12.0, "eval_accuracy": 0.7998872604284104, "eval_loss": 0.5712145566940308, "eval_runtime": 28.1914, "eval_samples_per_second": 62.927, "eval_steps_per_second": 0.993, "step": 750 }, { "epoch": 12.16, "learning_rate": 0.0008774193548387097, "loss": 0.441, "step": 760 }, { "epoch": 12.32, "learning_rate": 0.0008758064516129032, "loss": 0.3975, "step": 770 }, { "epoch": 12.48, "learning_rate": 0.0008741935483870968, "loss": 0.4342, "step": 780 }, { "epoch": 12.64, "learning_rate": 0.0008725806451612904, "loss": 0.427, "step": 790 }, { "epoch": 12.8, "learning_rate": 0.0008709677419354839, "loss": 0.4037, "step": 800 }, { "epoch": 12.96, "learning_rate": 0.0008693548387096775, "loss": 0.4321, "step": 810 }, { "epoch": 12.99, "eval_accuracy": 0.7970687711386697, "eval_loss": 0.5455379486083984, "eval_runtime": 28.1711, "eval_samples_per_second": 62.972, "eval_steps_per_second": 0.994, "step": 812 }, { "epoch": 13.12, "learning_rate": 0.000867741935483871, "loss": 0.3868, "step": 820 }, { "epoch": 13.28, "learning_rate": 0.0008661290322580645, "loss": 0.3746, "step": 830 }, { "epoch": 13.44, "learning_rate": 0.000864516129032258, "loss": 0.4057, "step": 840 }, { "epoch": 13.6, "learning_rate": 0.0008629032258064516, "loss": 0.4019, "step": 850 }, { "epoch": 13.76, "learning_rate": 0.0008612903225806453, "loss": 0.3797, "step": 860 }, { "epoch": 13.92, "learning_rate": 0.0008596774193548387, "loss": 0.4072, "step": 870 }, { "epoch": 14.0, "eval_accuracy": 0.8083427282976324, "eval_loss": 0.5409186482429504, "eval_runtime": 28.1106, "eval_samples_per_second": 63.108, "eval_steps_per_second": 0.996, "step": 875 }, { "epoch": 14.08, "learning_rate": 0.0008580645161290323, "loss": 0.3634, "step": 880 }, { "epoch": 14.24, "learning_rate": 0.0008564516129032258, "loss": 0.372, "step": 890 }, { "epoch": 14.4, "learning_rate": 0.0008548387096774194, "loss": 0.3916, "step": 900 }, { "epoch": 14.56, "learning_rate": 0.0008532258064516129, "loss": 0.3917, "step": 910 }, { "epoch": 14.72, "learning_rate": 0.0008516129032258064, "loss": 0.3985, "step": 920 }, { "epoch": 14.88, "learning_rate": 0.00085, "loss": 0.3821, "step": 930 }, { "epoch": 14.99, "eval_accuracy": 0.8105975197294251, "eval_loss": 0.5463915467262268, "eval_runtime": 28.0622, "eval_samples_per_second": 63.217, "eval_steps_per_second": 0.998, "step": 937 }, { "epoch": 15.04, "learning_rate": 0.0008483870967741936, "loss": 0.3922, "step": 940 }, { "epoch": 15.2, "learning_rate": 0.0008467741935483872, "loss": 0.3777, "step": 950 }, { "epoch": 15.36, "learning_rate": 0.0008451612903225807, "loss": 0.3864, "step": 960 }, { "epoch": 15.52, "learning_rate": 0.0008435483870967742, "loss": 0.3871, "step": 970 }, { "epoch": 15.68, "learning_rate": 0.0008419354838709677, "loss": 0.3632, "step": 980 }, { "epoch": 15.84, "learning_rate": 0.0008403225806451613, "loss": 0.3622, "step": 990 }, { "epoch": 16.0, "learning_rate": 0.0008387096774193549, "loss": 0.376, "step": 1000 }, { "epoch": 16.0, "eval_accuracy": 0.8151071025930101, "eval_loss": 0.5402312278747559, "eval_runtime": 27.9895, "eval_samples_per_second": 63.381, "eval_steps_per_second": 1.0, "step": 1000 }, { "epoch": 16.16, "learning_rate": 0.0008370967741935483, "loss": 0.3304, "step": 1010 }, { "epoch": 16.32, "learning_rate": 0.0008354838709677419, "loss": 0.3486, "step": 1020 }, { "epoch": 16.48, "learning_rate": 0.0008338709677419355, "loss": 0.3666, "step": 1030 }, { "epoch": 16.64, "learning_rate": 0.0008322580645161291, "loss": 0.3372, "step": 1040 }, { "epoch": 16.8, "learning_rate": 0.0008306451612903227, "loss": 0.3628, "step": 1050 }, { "epoch": 16.96, "learning_rate": 0.0008290322580645161, "loss": 0.3427, "step": 1060 }, { "epoch": 16.99, "eval_accuracy": 0.8167981961668546, "eval_loss": 0.5326964855194092, "eval_runtime": 28.178, "eval_samples_per_second": 62.957, "eval_steps_per_second": 0.994, "step": 1062 }, { "epoch": 17.12, "learning_rate": 0.0008274193548387097, "loss": 0.338, "step": 1070 }, { "epoch": 17.28, "learning_rate": 0.0008258064516129032, "loss": 0.3497, "step": 1080 }, { "epoch": 17.44, "learning_rate": 0.0008241935483870968, "loss": 0.3289, "step": 1090 }, { "epoch": 17.6, "learning_rate": 0.0008225806451612903, "loss": 0.3288, "step": 1100 }, { "epoch": 17.76, "learning_rate": 0.0008209677419354839, "loss": 0.3521, "step": 1110 }, { "epoch": 17.92, "learning_rate": 0.0008193548387096774, "loss": 0.2938, "step": 1120 }, { "epoch": 18.0, "eval_accuracy": 0.8100338218714769, "eval_loss": 0.5300917625427246, "eval_runtime": 28.1235, "eval_samples_per_second": 63.079, "eval_steps_per_second": 0.996, "step": 1125 }, { "epoch": 18.08, "learning_rate": 0.000817741935483871, "loss": 0.3332, "step": 1130 }, { "epoch": 18.24, "learning_rate": 0.0008161290322580646, "loss": 0.3199, "step": 1140 }, { "epoch": 18.4, "learning_rate": 0.0008145161290322581, "loss": 0.3049, "step": 1150 }, { "epoch": 18.56, "learning_rate": 0.0008129032258064516, "loss": 0.3194, "step": 1160 }, { "epoch": 18.72, "learning_rate": 0.0008112903225806451, "loss": 0.3367, "step": 1170 }, { "epoch": 18.88, "learning_rate": 0.0008096774193548387, "loss": 0.3116, "step": 1180 }, { "epoch": 18.99, "eval_accuracy": 0.8134160090191658, "eval_loss": 0.5456886887550354, "eval_runtime": 28.0707, "eval_samples_per_second": 63.198, "eval_steps_per_second": 0.997, "step": 1187 }, { "epoch": 19.04, "learning_rate": 0.0008080645161290324, "loss": 0.337, "step": 1190 }, { "epoch": 19.2, "learning_rate": 0.0008064516129032258, "loss": 0.3245, "step": 1200 }, { "epoch": 19.36, "learning_rate": 0.0008048387096774194, "loss": 0.3222, "step": 1210 }, { "epoch": 19.52, "learning_rate": 0.0008032258064516129, "loss": 0.3146, "step": 1220 }, { "epoch": 19.68, "learning_rate": 0.0008016129032258065, "loss": 0.3091, "step": 1230 }, { "epoch": 19.84, "learning_rate": 0.0008, "loss": 0.3027, "step": 1240 }, { "epoch": 20.0, "learning_rate": 0.0007983870967741935, "loss": 0.3231, "step": 1250 }, { "epoch": 20.0, "eval_accuracy": 0.8156708004509583, "eval_loss": 0.5506556630134583, "eval_runtime": 28.0877, "eval_samples_per_second": 63.159, "eval_steps_per_second": 0.997, "step": 1250 }, { "epoch": 20.16, "learning_rate": 0.000796774193548387, "loss": 0.2817, "step": 1260 }, { "epoch": 20.32, "learning_rate": 0.0007951612903225807, "loss": 0.301, "step": 1270 }, { "epoch": 20.48, "learning_rate": 0.0007935483870967743, "loss": 0.3078, "step": 1280 }, { "epoch": 20.64, "learning_rate": 0.0007919354838709678, "loss": 0.3075, "step": 1290 }, { "epoch": 20.8, "learning_rate": 0.0007903225806451613, "loss": 0.316, "step": 1300 }, { "epoch": 20.96, "learning_rate": 0.0007887096774193548, "loss": 0.2942, "step": 1310 }, { "epoch": 20.99, "eval_accuracy": 0.8156708004509583, "eval_loss": 0.5306803584098816, "eval_runtime": 28.1394, "eval_samples_per_second": 63.043, "eval_steps_per_second": 0.995, "step": 1312 }, { "epoch": 21.12, "learning_rate": 0.0007870967741935484, "loss": 0.2789, "step": 1320 }, { "epoch": 21.28, "learning_rate": 0.000785483870967742, "loss": 0.282, "step": 1330 }, { "epoch": 21.44, "learning_rate": 0.0007838709677419354, "loss": 0.2837, "step": 1340 }, { "epoch": 21.6, "learning_rate": 0.0007822580645161291, "loss": 0.2955, "step": 1350 }, { "epoch": 21.76, "learning_rate": 0.0007806451612903226, "loss": 0.2847, "step": 1360 }, { "epoch": 21.92, "learning_rate": 0.0007790322580645162, "loss": 0.299, "step": 1370 }, { "epoch": 22.0, "eval_accuracy": 0.8320180383314544, "eval_loss": 0.517823338508606, "eval_runtime": 28.1763, "eval_samples_per_second": 62.961, "eval_steps_per_second": 0.994, "step": 1375 }, { "epoch": 22.08, "learning_rate": 0.0007774193548387097, "loss": 0.2907, "step": 1380 }, { "epoch": 22.24, "learning_rate": 0.0007758064516129032, "loss": 0.2688, "step": 1390 }, { "epoch": 22.4, "learning_rate": 0.0007741935483870968, "loss": 0.2671, "step": 1400 }, { "epoch": 22.56, "learning_rate": 0.0007725806451612903, "loss": 0.2757, "step": 1410 }, { "epoch": 22.72, "learning_rate": 0.0007709677419354839, "loss": 0.2682, "step": 1420 }, { "epoch": 22.88, "learning_rate": 0.0007693548387096775, "loss": 0.2821, "step": 1430 }, { "epoch": 22.99, "eval_accuracy": 0.8241262683201804, "eval_loss": 0.5435750484466553, "eval_runtime": 28.0623, "eval_samples_per_second": 63.217, "eval_steps_per_second": 0.998, "step": 1437 }, { "epoch": 23.04, "learning_rate": 0.000767741935483871, "loss": 0.2823, "step": 1440 }, { "epoch": 23.2, "learning_rate": 0.0007661290322580645, "loss": 0.2778, "step": 1450 }, { "epoch": 23.36, "learning_rate": 0.0007645161290322581, "loss": 0.2605, "step": 1460 }, { "epoch": 23.52, "learning_rate": 0.0007629032258064517, "loss": 0.2503, "step": 1470 }, { "epoch": 23.68, "learning_rate": 0.0007612903225806451, "loss": 0.2849, "step": 1480 }, { "epoch": 23.84, "learning_rate": 0.0007596774193548387, "loss": 0.2728, "step": 1490 }, { "epoch": 24.0, "learning_rate": 0.0007580645161290322, "loss": 0.2576, "step": 1500 }, { "epoch": 24.0, "eval_accuracy": 0.822435174746336, "eval_loss": 0.5331800580024719, "eval_runtime": 28.0307, "eval_samples_per_second": 63.288, "eval_steps_per_second": 0.999, "step": 1500 }, { "epoch": 24.16, "learning_rate": 0.0007564516129032259, "loss": 0.2493, "step": 1510 }, { "epoch": 24.32, "learning_rate": 0.0007548387096774194, "loss": 0.2422, "step": 1520 }, { "epoch": 24.48, "learning_rate": 0.0007532258064516129, "loss": 0.2671, "step": 1530 }, { "epoch": 24.64, "learning_rate": 0.0007516129032258065, "loss": 0.2586, "step": 1540 }, { "epoch": 24.8, "learning_rate": 0.00075, "loss": 0.2563, "step": 1550 }, { "epoch": 24.96, "learning_rate": 0.0007483870967741936, "loss": 0.2728, "step": 1560 }, { "epoch": 24.99, "eval_accuracy": 0.8314543404735062, "eval_loss": 0.5400711894035339, "eval_runtime": 28.1644, "eval_samples_per_second": 62.987, "eval_steps_per_second": 0.994, "step": 1562 }, { "epoch": 25.12, "learning_rate": 0.0007467741935483871, "loss": 0.2507, "step": 1570 }, { "epoch": 25.28, "learning_rate": 0.0007451612903225806, "loss": 0.2245, "step": 1580 }, { "epoch": 25.44, "learning_rate": 0.0007435483870967741, "loss": 0.242, "step": 1590 }, { "epoch": 25.6, "learning_rate": 0.0007419354838709678, "loss": 0.2412, "step": 1600 }, { "epoch": 25.76, "learning_rate": 0.0007403225806451614, "loss": 0.2357, "step": 1610 }, { "epoch": 25.92, "learning_rate": 0.0007387096774193549, "loss": 0.2383, "step": 1620 }, { "epoch": 26.0, "eval_accuracy": 0.8342728297632469, "eval_loss": 0.5709508657455444, "eval_runtime": 28.0824, "eval_samples_per_second": 63.171, "eval_steps_per_second": 0.997, "step": 1625 }, { "epoch": 26.08, "learning_rate": 0.0007370967741935484, "loss": 0.213, "step": 1630 }, { "epoch": 26.24, "learning_rate": 0.0007354838709677419, "loss": 0.2228, "step": 1640 }, { "epoch": 26.4, "learning_rate": 0.0007338709677419355, "loss": 0.2234, "step": 1650 }, { "epoch": 26.56, "learning_rate": 0.000732258064516129, "loss": 0.2327, "step": 1660 }, { "epoch": 26.72, "learning_rate": 0.0007306451612903225, "loss": 0.2474, "step": 1670 }, { "epoch": 26.88, "learning_rate": 0.0007290322580645162, "loss": 0.2504, "step": 1680 }, { "epoch": 26.99, "eval_accuracy": 0.8325817361894025, "eval_loss": 0.5497803092002869, "eval_runtime": 28.0865, "eval_samples_per_second": 63.162, "eval_steps_per_second": 0.997, "step": 1687 }, { "epoch": 27.04, "learning_rate": 0.0007274193548387097, "loss": 0.2576, "step": 1690 }, { "epoch": 27.2, "learning_rate": 0.0007258064516129033, "loss": 0.2213, "step": 1700 }, { "epoch": 27.36, "learning_rate": 0.0007241935483870968, "loss": 0.2332, "step": 1710 }, { "epoch": 27.52, "learning_rate": 0.0007225806451612903, "loss": 0.2632, "step": 1720 }, { "epoch": 27.68, "learning_rate": 0.0007209677419354838, "loss": 0.2209, "step": 1730 }, { "epoch": 27.84, "learning_rate": 0.0007193548387096774, "loss": 0.2336, "step": 1740 }, { "epoch": 28.0, "learning_rate": 0.000717741935483871, "loss": 0.2474, "step": 1750 }, { "epoch": 28.0, "eval_accuracy": 0.8348365276211951, "eval_loss": 0.5372113585472107, "eval_runtime": 28.1229, "eval_samples_per_second": 63.08, "eval_steps_per_second": 0.996, "step": 1750 }, { "epoch": 28.16, "learning_rate": 0.0007161290322580646, "loss": 0.2054, "step": 1760 }, { "epoch": 28.32, "learning_rate": 0.0007145161290322581, "loss": 0.2309, "step": 1770 }, { "epoch": 28.48, "learning_rate": 0.0007129032258064516, "loss": 0.2155, "step": 1780 }, { "epoch": 28.64, "learning_rate": 0.0007112903225806452, "loss": 0.2158, "step": 1790 }, { "epoch": 28.8, "learning_rate": 0.0007096774193548388, "loss": 0.2239, "step": 1800 }, { "epoch": 28.96, "learning_rate": 0.0007080645161290322, "loss": 0.2156, "step": 1810 }, { "epoch": 28.99, "eval_accuracy": 0.830890642615558, "eval_loss": 0.562776505947113, "eval_runtime": 28.1235, "eval_samples_per_second": 63.079, "eval_steps_per_second": 0.996, "step": 1812 }, { "epoch": 29.12, "learning_rate": 0.0007064516129032258, "loss": 0.2085, "step": 1820 }, { "epoch": 29.28, "learning_rate": 0.0007048387096774193, "loss": 0.1977, "step": 1830 }, { "epoch": 29.44, "learning_rate": 0.000703225806451613, "loss": 0.2147, "step": 1840 }, { "epoch": 29.6, "learning_rate": 0.0007016129032258065, "loss": 0.2381, "step": 1850 }, { "epoch": 29.76, "learning_rate": 0.0007, "loss": 0.229, "step": 1860 }, { "epoch": 29.92, "learning_rate": 0.0006983870967741936, "loss": 0.2035, "step": 1870 }, { "epoch": 30.0, "eval_accuracy": 0.8376550169109357, "eval_loss": 0.5537896752357483, "eval_runtime": 28.2907, "eval_samples_per_second": 62.706, "eval_steps_per_second": 0.99, "step": 1875 }, { "epoch": 30.08, "learning_rate": 0.0006967741935483871, "loss": 0.2102, "step": 1880 }, { "epoch": 30.24, "learning_rate": 0.0006951612903225807, "loss": 0.1885, "step": 1890 }, { "epoch": 30.4, "learning_rate": 0.0006935483870967742, "loss": 0.2167, "step": 1900 }, { "epoch": 30.56, "learning_rate": 0.0006919354838709677, "loss": 0.1848, "step": 1910 }, { "epoch": 30.72, "learning_rate": 0.0006903225806451613, "loss": 0.2228, "step": 1920 }, { "epoch": 30.88, "learning_rate": 0.0006887096774193549, "loss": 0.2043, "step": 1930 }, { "epoch": 30.99, "eval_accuracy": 0.8416009019165727, "eval_loss": 0.5484991073608398, "eval_runtime": 28.1175, "eval_samples_per_second": 63.092, "eval_steps_per_second": 0.996, "step": 1937 }, { "epoch": 31.04, "learning_rate": 0.0006870967741935485, "loss": 0.1918, "step": 1940 }, { "epoch": 31.2, "learning_rate": 0.0006854838709677419, "loss": 0.1832, "step": 1950 }, { "epoch": 31.36, "learning_rate": 0.0006840322580645162, "loss": 0.1831, "step": 1960 }, { "epoch": 31.52, "learning_rate": 0.0006824193548387096, "loss": 0.1991, "step": 1970 }, { "epoch": 31.68, "learning_rate": 0.0006808064516129033, "loss": 0.2157, "step": 1980 }, { "epoch": 31.84, "learning_rate": 0.0006791935483870968, "loss": 0.2158, "step": 1990 }, { "epoch": 32.0, "learning_rate": 0.0006775806451612904, "loss": 0.1964, "step": 2000 }, { "epoch": 32.0, "eval_accuracy": 0.8359639233370914, "eval_loss": 0.5694667100906372, "eval_runtime": 28.2192, "eval_samples_per_second": 62.865, "eval_steps_per_second": 0.992, "step": 2000 }, { "epoch": 32.16, "learning_rate": 0.0006759677419354839, "loss": 0.193, "step": 2010 }, { "epoch": 32.32, "learning_rate": 0.0006743548387096774, "loss": 0.1981, "step": 2020 }, { "epoch": 32.48, "learning_rate": 0.000672741935483871, "loss": 0.2037, "step": 2030 }, { "epoch": 32.64, "learning_rate": 0.0006711290322580645, "loss": 0.2001, "step": 2040 }, { "epoch": 32.8, "learning_rate": 0.0006695161290322581, "loss": 0.2013, "step": 2050 }, { "epoch": 32.96, "learning_rate": 0.0006679032258064516, "loss": 0.2086, "step": 2060 }, { "epoch": 32.99, "eval_accuracy": 0.8438556933483653, "eval_loss": 0.5628190040588379, "eval_runtime": 28.2509, "eval_samples_per_second": 62.794, "eval_steps_per_second": 0.991, "step": 2062 }, { "epoch": 33.12, "learning_rate": 0.0006662903225806452, "loss": 0.1837, "step": 2070 }, { "epoch": 33.28, "learning_rate": 0.0006646774193548387, "loss": 0.1725, "step": 2080 }, { "epoch": 33.44, "learning_rate": 0.0006630645161290323, "loss": 0.1834, "step": 2090 }, { "epoch": 33.6, "learning_rate": 0.0006614516129032259, "loss": 0.1934, "step": 2100 }, { "epoch": 33.76, "learning_rate": 0.0006598387096774193, "loss": 0.2077, "step": 2110 }, { "epoch": 33.92, "learning_rate": 0.0006582258064516129, "loss": 0.1893, "step": 2120 }, { "epoch": 34.0, "eval_accuracy": 0.8399098083427283, "eval_loss": 0.5582923293113708, "eval_runtime": 28.2188, "eval_samples_per_second": 62.866, "eval_steps_per_second": 0.992, "step": 2125 }, { "epoch": 34.08, "learning_rate": 0.0006566129032258064, "loss": 0.1985, "step": 2130 }, { "epoch": 34.24, "learning_rate": 0.0006550000000000001, "loss": 0.2009, "step": 2140 }, { "epoch": 34.4, "learning_rate": 0.0006533870967741936, "loss": 0.1944, "step": 2150 }, { "epoch": 34.56, "learning_rate": 0.0006517741935483871, "loss": 0.1963, "step": 2160 }, { "epoch": 34.72, "learning_rate": 0.0006501612903225807, "loss": 0.1798, "step": 2170 }, { "epoch": 34.88, "learning_rate": 0.0006485483870967742, "loss": 0.1857, "step": 2180 }, { "epoch": 34.99, "eval_accuracy": 0.8387824126268321, "eval_loss": 0.5524682998657227, "eval_runtime": 28.2513, "eval_samples_per_second": 62.793, "eval_steps_per_second": 0.991, "step": 2187 }, { "epoch": 35.04, "learning_rate": 0.0006469354838709678, "loss": 0.1827, "step": 2190 }, { "epoch": 35.2, "learning_rate": 0.0006453225806451612, "loss": 0.1675, "step": 2200 }, { "epoch": 35.36, "learning_rate": 0.0006437096774193548, "loss": 0.1481, "step": 2210 }, { "epoch": 35.52, "learning_rate": 0.0006420967741935483, "loss": 0.1806, "step": 2220 }, { "epoch": 35.68, "learning_rate": 0.000640483870967742, "loss": 0.2022, "step": 2230 }, { "epoch": 35.84, "learning_rate": 0.0006388709677419356, "loss": 0.203, "step": 2240 }, { "epoch": 36.0, "learning_rate": 0.000637258064516129, "loss": 0.1811, "step": 2250 }, { "epoch": 36.0, "eval_accuracy": 0.8444193912063134, "eval_loss": 0.5287083387374878, "eval_runtime": 28.086, "eval_samples_per_second": 63.163, "eval_steps_per_second": 0.997, "step": 2250 }, { "epoch": 36.16, "learning_rate": 0.0006356451612903226, "loss": 0.1869, "step": 2260 }, { "epoch": 36.32, "learning_rate": 0.0006340322580645161, "loss": 0.1836, "step": 2270 }, { "epoch": 36.48, "learning_rate": 0.0006324193548387097, "loss": 0.1816, "step": 2280 }, { "epoch": 36.64, "learning_rate": 0.0006308064516129032, "loss": 0.1786, "step": 2290 }, { "epoch": 36.8, "learning_rate": 0.0006291935483870967, "loss": 0.1749, "step": 2300 }, { "epoch": 36.96, "learning_rate": 0.0006275806451612904, "loss": 0.196, "step": 2310 }, { "epoch": 36.99, "eval_accuracy": 0.8416009019165727, "eval_loss": 0.5324433445930481, "eval_runtime": 28.2732, "eval_samples_per_second": 62.745, "eval_steps_per_second": 0.99, "step": 2312 }, { "epoch": 37.12, "learning_rate": 0.0006259677419354839, "loss": 0.1595, "step": 2320 }, { "epoch": 37.28, "learning_rate": 0.0006243548387096775, "loss": 0.1769, "step": 2330 }, { "epoch": 37.44, "learning_rate": 0.000622741935483871, "loss": 0.1692, "step": 2340 }, { "epoch": 37.6, "learning_rate": 0.0006211290322580645, "loss": 0.1621, "step": 2350 }, { "epoch": 37.76, "learning_rate": 0.000619516129032258, "loss": 0.1726, "step": 2360 }, { "epoch": 37.92, "learning_rate": 0.0006179032258064516, "loss": 0.1644, "step": 2370 }, { "epoch": 38.0, "eval_accuracy": 0.8472378804960541, "eval_loss": 0.5432766675949097, "eval_runtime": 28.0779, "eval_samples_per_second": 63.181, "eval_steps_per_second": 0.997, "step": 2375 }, { "epoch": 38.08, "learning_rate": 0.0006162903225806452, "loss": 0.167, "step": 2380 }, { "epoch": 38.24, "learning_rate": 0.0006146774193548387, "loss": 0.1735, "step": 2390 }, { "epoch": 38.4, "learning_rate": 0.0006130645161290323, "loss": 0.1682, "step": 2400 }, { "epoch": 38.56, "learning_rate": 0.0006114516129032258, "loss": 0.1452, "step": 2410 }, { "epoch": 38.72, "learning_rate": 0.0006098387096774194, "loss": 0.1612, "step": 2420 }, { "epoch": 38.88, "learning_rate": 0.000608225806451613, "loss": 0.1754, "step": 2430 }, { "epoch": 38.99, "eval_accuracy": 0.8478015783540023, "eval_loss": 0.5511437058448792, "eval_runtime": 28.1474, "eval_samples_per_second": 63.025, "eval_steps_per_second": 0.995, "step": 2437 }, { "epoch": 39.04, "learning_rate": 0.0006066129032258064, "loss": 0.1515, "step": 2440 }, { "epoch": 39.2, "learning_rate": 0.000605, "loss": 0.1515, "step": 2450 }, { "epoch": 39.36, "learning_rate": 0.0006033870967741935, "loss": 0.1491, "step": 2460 }, { "epoch": 39.52, "learning_rate": 0.0006017741935483872, "loss": 0.1682, "step": 2470 }, { "epoch": 39.68, "learning_rate": 0.0006001612903225807, "loss": 0.1631, "step": 2480 }, { "epoch": 39.84, "learning_rate": 0.0005985483870967742, "loss": 0.1862, "step": 2490 }, { "epoch": 40.0, "learning_rate": 0.0005969354838709678, "loss": 0.1521, "step": 2500 }, { "epoch": 40.0, "eval_accuracy": 0.846674182638106, "eval_loss": 0.5625754594802856, "eval_runtime": 28.1213, "eval_samples_per_second": 63.084, "eval_steps_per_second": 0.996, "step": 2500 }, { "epoch": 40.16, "learning_rate": 0.0005953225806451613, "loss": 0.1711, "step": 2510 }, { "epoch": 40.32, "learning_rate": 0.0005937096774193549, "loss": 0.1473, "step": 2520 }, { "epoch": 40.48, "learning_rate": 0.0005920967741935483, "loss": 0.1683, "step": 2530 }, { "epoch": 40.64, "learning_rate": 0.0005904838709677419, "loss": 0.1459, "step": 2540 }, { "epoch": 40.8, "learning_rate": 0.0005888709677419355, "loss": 0.1506, "step": 2550 }, { "epoch": 40.96, "learning_rate": 0.0005872580645161291, "loss": 0.1536, "step": 2560 }, { "epoch": 40.99, "eval_accuracy": 0.8500563697857948, "eval_loss": 0.5633701086044312, "eval_runtime": 28.1665, "eval_samples_per_second": 62.983, "eval_steps_per_second": 0.994, "step": 2562 }, { "epoch": 41.12, "learning_rate": 0.0005856451612903227, "loss": 0.1767, "step": 2570 }, { "epoch": 41.28, "learning_rate": 0.0005840322580645161, "loss": 0.1589, "step": 2580 }, { "epoch": 41.44, "learning_rate": 0.0005824193548387097, "loss": 0.1693, "step": 2590 }, { "epoch": 41.6, "learning_rate": 0.0005808064516129032, "loss": 0.1604, "step": 2600 }, { "epoch": 41.76, "learning_rate": 0.0005791935483870968, "loss": 0.1625, "step": 2610 }, { "epoch": 41.92, "learning_rate": 0.0005775806451612903, "loss": 0.1399, "step": 2620 }, { "epoch": 42.0, "eval_accuracy": 0.8596392333709132, "eval_loss": 0.5802281498908997, "eval_runtime": 28.0866, "eval_samples_per_second": 63.162, "eval_steps_per_second": 0.997, "step": 2625 }, { "epoch": 42.08, "learning_rate": 0.0005759677419354839, "loss": 0.1367, "step": 2630 }, { "epoch": 42.24, "learning_rate": 0.0005743548387096775, "loss": 0.1555, "step": 2640 }, { "epoch": 42.4, "learning_rate": 0.000572741935483871, "loss": 0.1521, "step": 2650 }, { "epoch": 42.56, "learning_rate": 0.0005711290322580646, "loss": 0.1523, "step": 2660 }, { "epoch": 42.72, "learning_rate": 0.000569516129032258, "loss": 0.1456, "step": 2670 }, { "epoch": 42.88, "learning_rate": 0.0005679032258064516, "loss": 0.1589, "step": 2680 }, { "epoch": 42.99, "eval_accuracy": 0.8297632468996617, "eval_loss": 0.6153758764266968, "eval_runtime": 28.0406, "eval_samples_per_second": 63.265, "eval_steps_per_second": 0.999, "step": 2687 }, { "epoch": 43.04, "learning_rate": 0.0005662903225806451, "loss": 0.155, "step": 2690 }, { "epoch": 43.2, "learning_rate": 0.0005646774193548387, "loss": 0.1505, "step": 2700 }, { "epoch": 43.36, "learning_rate": 0.0005630645161290324, "loss": 0.1443, "step": 2710 }, { "epoch": 43.52, "learning_rate": 0.0005614516129032258, "loss": 0.1616, "step": 2720 }, { "epoch": 43.68, "learning_rate": 0.0005598387096774194, "loss": 0.1525, "step": 2730 }, { "epoch": 43.84, "learning_rate": 0.0005582258064516129, "loss": 0.1471, "step": 2740 }, { "epoch": 44.0, "learning_rate": 0.0005566129032258065, "loss": 0.1575, "step": 2750 }, { "epoch": 44.0, "eval_accuracy": 0.8523111612175873, "eval_loss": 0.5629739761352539, "eval_runtime": 28.1428, "eval_samples_per_second": 63.036, "eval_steps_per_second": 0.995, "step": 2750 }, { "epoch": 44.16, "learning_rate": 0.000555, "loss": 0.1323, "step": 2760 }, { "epoch": 44.32, "learning_rate": 0.0005533870967741935, "loss": 0.1582, "step": 2770 }, { "epoch": 44.48, "learning_rate": 0.000551774193548387, "loss": 0.1531, "step": 2780 }, { "epoch": 44.64, "learning_rate": 0.0005501612903225806, "loss": 0.1552, "step": 2790 }, { "epoch": 44.8, "learning_rate": 0.0005485483870967743, "loss": 0.1419, "step": 2800 }, { "epoch": 44.96, "learning_rate": 0.0005469354838709677, "loss": 0.1523, "step": 2810 }, { "epoch": 44.99, "eval_accuracy": 0.8489289740698985, "eval_loss": 0.5822137594223022, "eval_runtime": 28.2989, "eval_samples_per_second": 62.688, "eval_steps_per_second": 0.989, "step": 2812 }, { "epoch": 45.12, "learning_rate": 0.0005453225806451613, "loss": 0.1371, "step": 2820 }, { "epoch": 45.28, "learning_rate": 0.0005437096774193548, "loss": 0.1283, "step": 2830 }, { "epoch": 45.44, "learning_rate": 0.0005420967741935484, "loss": 0.1446, "step": 2840 }, { "epoch": 45.6, "learning_rate": 0.000540483870967742, "loss": 0.1482, "step": 2850 }, { "epoch": 45.76, "learning_rate": 0.0005388709677419354, "loss": 0.1473, "step": 2860 }, { "epoch": 45.92, "learning_rate": 0.000537258064516129, "loss": 0.1457, "step": 2870 }, { "epoch": 46.0, "eval_accuracy": 0.8528748590755355, "eval_loss": 0.5841559767723083, "eval_runtime": 28.078, "eval_samples_per_second": 63.181, "eval_steps_per_second": 0.997, "step": 2875 }, { "epoch": 46.08, "learning_rate": 0.0005356451612903226, "loss": 0.1491, "step": 2880 }, { "epoch": 46.24, "learning_rate": 0.0005340322580645162, "loss": 0.1229, "step": 2890 }, { "epoch": 46.4, "learning_rate": 0.0005324193548387098, "loss": 0.1407, "step": 2900 }, { "epoch": 46.56, "learning_rate": 0.0005308064516129032, "loss": 0.176, "step": 2910 }, { "epoch": 46.72, "learning_rate": 0.0005291935483870968, "loss": 0.1251, "step": 2920 }, { "epoch": 46.88, "learning_rate": 0.0005275806451612903, "loss": 0.1326, "step": 2930 }, { "epoch": 46.99, "eval_accuracy": 0.855129650507328, "eval_loss": 0.5729023218154907, "eval_runtime": 28.0033, "eval_samples_per_second": 63.35, "eval_steps_per_second": 1.0, "step": 2937 }, { "epoch": 47.04, "learning_rate": 0.0005259677419354839, "loss": 0.1496, "step": 2940 }, { "epoch": 47.2, "learning_rate": 0.0005243548387096774, "loss": 0.1367, "step": 2950 }, { "epoch": 47.36, "learning_rate": 0.000522741935483871, "loss": 0.1465, "step": 2960 }, { "epoch": 47.52, "learning_rate": 0.0005211290322580646, "loss": 0.1378, "step": 2970 }, { "epoch": 47.68, "learning_rate": 0.0005195161290322581, "loss": 0.1484, "step": 2980 }, { "epoch": 47.84, "learning_rate": 0.0005179032258064517, "loss": 0.1522, "step": 2990 }, { "epoch": 48.0, "learning_rate": 0.0005162903225806451, "loss": 0.1319, "step": 3000 }, { "epoch": 48.0, "eval_accuracy": 0.85456595264938, "eval_loss": 0.5705844759941101, "eval_runtime": 28.1635, "eval_samples_per_second": 62.989, "eval_steps_per_second": 0.994, "step": 3000 }, { "epoch": 48.16, "learning_rate": 0.0005146774193548387, "loss": 0.1512, "step": 3010 }, { "epoch": 48.32, "learning_rate": 0.0005130645161290322, "loss": 0.1257, "step": 3020 }, { "epoch": 48.48, "learning_rate": 0.0005114516129032258, "loss": 0.1271, "step": 3030 }, { "epoch": 48.64, "learning_rate": 0.0005098387096774195, "loss": 0.14, "step": 3040 }, { "epoch": 48.8, "learning_rate": 0.0005082258064516129, "loss": 0.1365, "step": 3050 }, { "epoch": 48.96, "learning_rate": 0.0005066129032258065, "loss": 0.131, "step": 3060 }, { "epoch": 48.99, "eval_accuracy": 0.855129650507328, "eval_loss": 0.5893039703369141, "eval_runtime": 28.1829, "eval_samples_per_second": 62.946, "eval_steps_per_second": 0.994, "step": 3062 }, { "epoch": 49.12, "learning_rate": 0.000505, "loss": 0.1177, "step": 3070 }, { "epoch": 49.28, "learning_rate": 0.0005033870967741936, "loss": 0.1575, "step": 3080 }, { "epoch": 49.44, "learning_rate": 0.0005017741935483871, "loss": 0.124, "step": 3090 }, { "epoch": 49.6, "learning_rate": 0.0005001612903225806, "loss": 0.1442, "step": 3100 }, { "epoch": 49.76, "learning_rate": 0.0004985483870967741, "loss": 0.1365, "step": 3110 }, { "epoch": 49.92, "learning_rate": 0.0004969354838709678, "loss": 0.1588, "step": 3120 }, { "epoch": 50.0, "eval_accuracy": 0.8461104847801578, "eval_loss": 0.5694898962974548, "eval_runtime": 28.2133, "eval_samples_per_second": 62.878, "eval_steps_per_second": 0.992, "step": 3125 }, { "epoch": 50.08, "learning_rate": 0.0004953225806451613, "loss": 0.1235, "step": 3130 }, { "epoch": 50.24, "learning_rate": 0.0004937096774193548, "loss": 0.1229, "step": 3140 }, { "epoch": 50.4, "learning_rate": 0.0004920967741935484, "loss": 0.1534, "step": 3150 }, { "epoch": 50.56, "learning_rate": 0.0004904838709677419, "loss": 0.139, "step": 3160 }, { "epoch": 50.72, "learning_rate": 0.0004888709677419355, "loss": 0.1338, "step": 3170 }, { "epoch": 50.88, "learning_rate": 0.00048725806451612905, "loss": 0.1297, "step": 3180 }, { "epoch": 50.99, "eval_accuracy": 0.8455467869222097, "eval_loss": 0.5901888608932495, "eval_runtime": 28.0563, "eval_samples_per_second": 63.23, "eval_steps_per_second": 0.998, "step": 3187 }, { "epoch": 51.04, "learning_rate": 0.0004856451612903226, "loss": 0.1162, "step": 3190 }, { "epoch": 51.2, "learning_rate": 0.0004840322580645161, "loss": 0.1169, "step": 3200 }, { "epoch": 51.36, "learning_rate": 0.0004824193548387097, "loss": 0.1517, "step": 3210 }, { "epoch": 51.52, "learning_rate": 0.0004808064516129033, "loss": 0.1246, "step": 3220 }, { "epoch": 51.68, "learning_rate": 0.0004791935483870968, "loss": 0.1336, "step": 3230 }, { "epoch": 51.84, "learning_rate": 0.00047758064516129035, "loss": 0.1459, "step": 3240 }, { "epoch": 52.0, "learning_rate": 0.00047596774193548385, "loss": 0.1603, "step": 3250 }, { "epoch": 52.0, "eval_accuracy": 0.8449830890642616, "eval_loss": 0.5921454429626465, "eval_runtime": 28.2225, "eval_samples_per_second": 62.858, "eval_steps_per_second": 0.992, "step": 3250 }, { "epoch": 52.16, "learning_rate": 0.00047435483870967747, "loss": 0.1322, "step": 3260 }, { "epoch": 52.32, "learning_rate": 0.00047274193548387097, "loss": 0.1273, "step": 3270 }, { "epoch": 52.48, "learning_rate": 0.00047112903225806453, "loss": 0.1303, "step": 3280 }, { "epoch": 52.64, "learning_rate": 0.0004695161290322581, "loss": 0.1255, "step": 3290 }, { "epoch": 52.8, "learning_rate": 0.0004679032258064516, "loss": 0.1279, "step": 3300 }, { "epoch": 52.96, "learning_rate": 0.0004662903225806452, "loss": 0.108, "step": 3310 }, { "epoch": 52.99, "eval_accuracy": 0.8478015783540023, "eval_loss": 0.614061176776886, "eval_runtime": 28.139, "eval_samples_per_second": 63.044, "eval_steps_per_second": 0.995, "step": 3312 }, { "epoch": 53.12, "learning_rate": 0.0004646774193548387, "loss": 0.1431, "step": 3320 }, { "epoch": 53.28, "learning_rate": 0.00046306451612903226, "loss": 0.1216, "step": 3330 }, { "epoch": 53.44, "learning_rate": 0.00046145161290322577, "loss": 0.1322, "step": 3340 }, { "epoch": 53.6, "learning_rate": 0.0004598387096774194, "loss": 0.1063, "step": 3350 }, { "epoch": 53.76, "learning_rate": 0.00045822580645161294, "loss": 0.1464, "step": 3360 }, { "epoch": 53.92, "learning_rate": 0.00045661290322580644, "loss": 0.1483, "step": 3370 }, { "epoch": 54.0, "eval_accuracy": 0.850620067643743, "eval_loss": 0.5862211585044861, "eval_runtime": 28.0887, "eval_samples_per_second": 63.157, "eval_steps_per_second": 0.997, "step": 3375 }, { "epoch": 54.08, "learning_rate": 0.000455, "loss": 0.1393, "step": 3380 }, { "epoch": 54.24, "learning_rate": 0.00045338709677419356, "loss": 0.12, "step": 3390 }, { "epoch": 54.4, "learning_rate": 0.0004517741935483871, "loss": 0.1374, "step": 3400 }, { "epoch": 54.56, "learning_rate": 0.0004501612903225806, "loss": 0.1226, "step": 3410 }, { "epoch": 54.72, "learning_rate": 0.0004485483870967742, "loss": 0.1384, "step": 3420 }, { "epoch": 54.88, "learning_rate": 0.0004469354838709678, "loss": 0.1191, "step": 3430 }, { "epoch": 54.99, "eval_accuracy": 0.8455467869222097, "eval_loss": 0.570696234703064, "eval_runtime": 28.1609, "eval_samples_per_second": 62.995, "eval_steps_per_second": 0.994, "step": 3437 }, { "epoch": 55.04, "learning_rate": 0.0004453225806451613, "loss": 0.1202, "step": 3440 }, { "epoch": 55.2, "learning_rate": 0.00044370967741935485, "loss": 0.1174, "step": 3450 }, { "epoch": 55.36, "learning_rate": 0.00044209677419354836, "loss": 0.128, "step": 3460 }, { "epoch": 55.52, "learning_rate": 0.00044048387096774197, "loss": 0.1255, "step": 3470 }, { "epoch": 55.68, "learning_rate": 0.0004388709677419355, "loss": 0.1271, "step": 3480 }, { "epoch": 55.84, "learning_rate": 0.00043725806451612903, "loss": 0.1212, "step": 3490 }, { "epoch": 56.0, "learning_rate": 0.0004356451612903226, "loss": 0.1148, "step": 3500 }, { "epoch": 56.0, "eval_accuracy": 0.8635851183765502, "eval_loss": 0.5643802285194397, "eval_runtime": 28.141, "eval_samples_per_second": 63.04, "eval_steps_per_second": 0.995, "step": 3500 }, { "epoch": 56.16, "learning_rate": 0.00043403225806451615, "loss": 0.1241, "step": 3510 }, { "epoch": 56.32, "learning_rate": 0.0004324193548387097, "loss": 0.1207, "step": 3520 }, { "epoch": 56.48, "learning_rate": 0.0004308064516129032, "loss": 0.1255, "step": 3530 }, { "epoch": 56.64, "learning_rate": 0.00042919354838709677, "loss": 0.1303, "step": 3540 }, { "epoch": 56.8, "learning_rate": 0.0004275806451612903, "loss": 0.1107, "step": 3550 }, { "epoch": 56.96, "learning_rate": 0.0004259677419354839, "loss": 0.1052, "step": 3560 }, { "epoch": 56.99, "eval_accuracy": 0.8602029312288614, "eval_loss": 0.5903654098510742, "eval_runtime": 28.2281, "eval_samples_per_second": 62.845, "eval_steps_per_second": 0.992, "step": 3562 }, { "epoch": 57.12, "learning_rate": 0.00042435483870967744, "loss": 0.1367, "step": 3570 }, { "epoch": 57.28, "learning_rate": 0.00042274193548387095, "loss": 0.1064, "step": 3580 }, { "epoch": 57.44, "learning_rate": 0.00042112903225806456, "loss": 0.1231, "step": 3590 }, { "epoch": 57.6, "learning_rate": 0.00041951612903225806, "loss": 0.1355, "step": 3600 }, { "epoch": 57.76, "learning_rate": 0.0004179032258064516, "loss": 0.1231, "step": 3610 }, { "epoch": 57.92, "learning_rate": 0.0004162903225806452, "loss": 0.1307, "step": 3620 }, { "epoch": 58.0, "eval_accuracy": 0.8489289740698985, "eval_loss": 0.5817931890487671, "eval_runtime": 28.0504, "eval_samples_per_second": 63.243, "eval_steps_per_second": 0.998, "step": 3625 }, { "epoch": 58.08, "learning_rate": 0.00041467741935483874, "loss": 0.1187, "step": 3630 }, { "epoch": 58.24, "learning_rate": 0.0004130645161290323, "loss": 0.1284, "step": 3640 }, { "epoch": 58.4, "learning_rate": 0.0004114516129032258, "loss": 0.1093, "step": 3650 }, { "epoch": 58.56, "learning_rate": 0.00040983870967741936, "loss": 0.114, "step": 3660 }, { "epoch": 58.72, "learning_rate": 0.0004082258064516129, "loss": 0.1088, "step": 3670 }, { "epoch": 58.88, "learning_rate": 0.0004066129032258065, "loss": 0.1188, "step": 3680 }, { "epoch": 58.99, "eval_accuracy": 0.8489289740698985, "eval_loss": 0.5897976756095886, "eval_runtime": 27.9744, "eval_samples_per_second": 63.415, "eval_steps_per_second": 1.001, "step": 3687 }, { "epoch": 59.04, "learning_rate": 0.00040500000000000003, "loss": 0.1092, "step": 3690 }, { "epoch": 59.2, "learning_rate": 0.00040338709677419354, "loss": 0.109, "step": 3700 }, { "epoch": 59.36, "learning_rate": 0.00040177419354838715, "loss": 0.1137, "step": 3710 }, { "epoch": 59.52, "learning_rate": 0.00040016129032258065, "loss": 0.1177, "step": 3720 }, { "epoch": 59.68, "learning_rate": 0.0003985483870967742, "loss": 0.124, "step": 3730 }, { "epoch": 59.84, "learning_rate": 0.0003969354838709677, "loss": 0.106, "step": 3740 }, { "epoch": 60.0, "learning_rate": 0.0003953225806451613, "loss": 0.1114, "step": 3750 }, { "epoch": 60.0, "eval_accuracy": 0.8517474633596392, "eval_loss": 0.6034874320030212, "eval_runtime": 28.0461, "eval_samples_per_second": 63.253, "eval_steps_per_second": 0.998, "step": 3750 }, { "epoch": 60.16, "learning_rate": 0.0003937096774193549, "loss": 0.1381, "step": 3760 }, { "epoch": 60.32, "learning_rate": 0.0003920967741935484, "loss": 0.1086, "step": 3770 }, { "epoch": 60.48, "learning_rate": 0.00039048387096774195, "loss": 0.1097, "step": 3780 }, { "epoch": 60.64, "learning_rate": 0.00038887096774193545, "loss": 0.1156, "step": 3790 }, { "epoch": 60.8, "learning_rate": 0.00038725806451612906, "loss": 0.1135, "step": 3800 }, { "epoch": 60.96, "learning_rate": 0.00038564516129032257, "loss": 0.1055, "step": 3810 }, { "epoch": 60.99, "eval_accuracy": 0.8534385569334837, "eval_loss": 0.6122295260429382, "eval_runtime": 28.3492, "eval_samples_per_second": 62.577, "eval_steps_per_second": 0.988, "step": 3812 }, { "epoch": 61.12, "learning_rate": 0.0003840322580645161, "loss": 0.1219, "step": 3820 }, { "epoch": 61.28, "learning_rate": 0.0003824193548387097, "loss": 0.1206, "step": 3830 }, { "epoch": 61.44, "learning_rate": 0.00038080645161290324, "loss": 0.1059, "step": 3840 }, { "epoch": 61.6, "learning_rate": 0.0003791935483870968, "loss": 0.1175, "step": 3850 }, { "epoch": 61.76, "learning_rate": 0.0003775806451612903, "loss": 0.1152, "step": 3860 }, { "epoch": 61.92, "learning_rate": 0.00037596774193548386, "loss": 0.1326, "step": 3870 }, { "epoch": 62.0, "eval_accuracy": 0.8540022547914318, "eval_loss": 0.6128527522087097, "eval_runtime": 28.0856, "eval_samples_per_second": 63.164, "eval_steps_per_second": 0.997, "step": 3875 }, { "epoch": 62.08, "learning_rate": 0.0003743548387096774, "loss": 0.0893, "step": 3880 }, { "epoch": 62.24, "learning_rate": 0.000372741935483871, "loss": 0.1252, "step": 3890 }, { "epoch": 62.4, "learning_rate": 0.00037112903225806454, "loss": 0.1166, "step": 3900 }, { "epoch": 62.56, "learning_rate": 0.00036951612903225804, "loss": 0.1182, "step": 3910 }, { "epoch": 62.72, "learning_rate": 0.00036790322580645165, "loss": 0.1234, "step": 3920 }, { "epoch": 62.88, "learning_rate": 0.00036629032258064516, "loss": 0.118, "step": 3930 }, { "epoch": 62.99, "eval_accuracy": 0.8528748590755355, "eval_loss": 0.5965889096260071, "eval_runtime": 28.2787, "eval_samples_per_second": 62.733, "eval_steps_per_second": 0.99, "step": 3937 }, { "epoch": 63.04, "learning_rate": 0.0003646774193548387, "loss": 0.1149, "step": 3940 }, { "epoch": 63.2, "learning_rate": 0.0003630645161290322, "loss": 0.1133, "step": 3950 }, { "epoch": 63.36, "learning_rate": 0.00036145161290322583, "loss": 0.0971, "step": 3960 }, { "epoch": 63.52, "learning_rate": 0.0003598387096774194, "loss": 0.1197, "step": 3970 }, { "epoch": 63.68, "learning_rate": 0.0003582258064516129, "loss": 0.1148, "step": 3980 }, { "epoch": 63.84, "learning_rate": 0.00035661290322580645, "loss": 0.1074, "step": 3990 }, { "epoch": 64.0, "learning_rate": 0.000355, "loss": 0.0982, "step": 4000 }, { "epoch": 64.0, "eval_accuracy": 0.85456595264938, "eval_loss": 0.6205869317054749, "eval_runtime": 28.2305, "eval_samples_per_second": 62.84, "eval_steps_per_second": 0.992, "step": 4000 }, { "epoch": 64.16, "learning_rate": 0.00035338709677419357, "loss": 0.1069, "step": 4010 }, { "epoch": 64.32, "learning_rate": 0.00035177419354838707, "loss": 0.1083, "step": 4020 }, { "epoch": 64.48, "learning_rate": 0.00035016129032258063, "loss": 0.1225, "step": 4030 }, { "epoch": 64.64, "learning_rate": 0.00034854838709677424, "loss": 0.1105, "step": 4040 }, { "epoch": 64.8, "learning_rate": 0.00034693548387096775, "loss": 0.1258, "step": 4050 }, { "epoch": 64.96, "learning_rate": 0.0003453225806451613, "loss": 0.1021, "step": 4060 }, { "epoch": 64.99, "eval_accuracy": 0.855129650507328, "eval_loss": 0.6053165197372437, "eval_runtime": 28.1948, "eval_samples_per_second": 62.919, "eval_steps_per_second": 0.993, "step": 4062 }, { "epoch": 65.12, "learning_rate": 0.0003437096774193548, "loss": 0.1148, "step": 4070 }, { "epoch": 65.28, "learning_rate": 0.0003420967741935484, "loss": 0.1054, "step": 4080 }, { "epoch": 65.44, "learning_rate": 0.0003404838709677419, "loss": 0.1057, "step": 4090 }, { "epoch": 65.6, "learning_rate": 0.0003388709677419355, "loss": 0.0942, "step": 4100 }, { "epoch": 65.76, "learning_rate": 0.00033725806451612904, "loss": 0.1077, "step": 4110 }, { "epoch": 65.92, "learning_rate": 0.0003356451612903226, "loss": 0.0988, "step": 4120 }, { "epoch": 66.0, "eval_accuracy": 0.8494926719278467, "eval_loss": 0.6225422024726868, "eval_runtime": 28.2781, "eval_samples_per_second": 62.734, "eval_steps_per_second": 0.99, "step": 4125 }, { "epoch": 66.08, "learning_rate": 0.00033403225806451616, "loss": 0.0974, "step": 4130 }, { "epoch": 66.24, "learning_rate": 0.00033241935483870966, "loss": 0.0966, "step": 4140 }, { "epoch": 66.4, "learning_rate": 0.0003308064516129032, "loss": 0.1017, "step": 4150 }, { "epoch": 66.56, "learning_rate": 0.00032919354838709683, "loss": 0.1116, "step": 4160 }, { "epoch": 66.72, "learning_rate": 0.00032758064516129034, "loss": 0.1077, "step": 4170 }, { "epoch": 66.88, "learning_rate": 0.0003259677419354839, "loss": 0.102, "step": 4180 }, { "epoch": 66.99, "eval_accuracy": 0.8579481397970687, "eval_loss": 0.6113544702529907, "eval_runtime": 28.1113, "eval_samples_per_second": 63.106, "eval_steps_per_second": 0.996, "step": 4187 }, { "epoch": 67.04, "learning_rate": 0.0003243548387096774, "loss": 0.1125, "step": 4190 }, { "epoch": 67.2, "learning_rate": 0.000322741935483871, "loss": 0.1098, "step": 4200 }, { "epoch": 67.36, "learning_rate": 0.0003211290322580645, "loss": 0.1023, "step": 4210 }, { "epoch": 67.52, "learning_rate": 0.00031951612903225807, "loss": 0.0989, "step": 4220 }, { "epoch": 67.68, "learning_rate": 0.00031790322580645163, "loss": 0.1012, "step": 4230 }, { "epoch": 67.84, "learning_rate": 0.0003162903225806452, "loss": 0.1014, "step": 4240 }, { "epoch": 68.0, "learning_rate": 0.00031467741935483875, "loss": 0.108, "step": 4250 }, { "epoch": 68.0, "eval_accuracy": 0.8461104847801578, "eval_loss": 0.6544247269630432, "eval_runtime": 28.177, "eval_samples_per_second": 62.959, "eval_steps_per_second": 0.994, "step": 4250 }, { "epoch": 68.16, "learning_rate": 0.00031306451612903225, "loss": 0.1138, "step": 4260 }, { "epoch": 68.32, "learning_rate": 0.0003114516129032258, "loss": 0.0909, "step": 4270 }, { "epoch": 68.48, "learning_rate": 0.0003098387096774193, "loss": 0.0898, "step": 4280 }, { "epoch": 68.64, "learning_rate": 0.0003082258064516129, "loss": 0.1027, "step": 4290 }, { "epoch": 68.8, "learning_rate": 0.0003066129032258065, "loss": 0.1173, "step": 4300 }, { "epoch": 68.96, "learning_rate": 0.000305, "loss": 0.0959, "step": 4310 }, { "epoch": 68.99, "eval_accuracy": 0.846674182638106, "eval_loss": 0.647339403629303, "eval_runtime": 28.0484, "eval_samples_per_second": 63.248, "eval_steps_per_second": 0.998, "step": 4312 }, { "epoch": 69.12, "learning_rate": 0.00030338709677419354, "loss": 0.1037, "step": 4320 }, { "epoch": 69.28, "learning_rate": 0.0003017741935483871, "loss": 0.0928, "step": 4330 }, { "epoch": 69.44, "learning_rate": 0.00030016129032258066, "loss": 0.1067, "step": 4340 }, { "epoch": 69.6, "learning_rate": 0.00029854838709677417, "loss": 0.108, "step": 4350 }, { "epoch": 69.76, "learning_rate": 0.0002969354838709677, "loss": 0.0749, "step": 4360 }, { "epoch": 69.92, "learning_rate": 0.00029532258064516134, "loss": 0.0988, "step": 4370 }, { "epoch": 70.0, "eval_accuracy": 0.8483652762119503, "eval_loss": 0.6325012445449829, "eval_runtime": 28.2324, "eval_samples_per_second": 62.836, "eval_steps_per_second": 0.992, "step": 4375 }, { "epoch": 70.08, "learning_rate": 0.00029370967741935484, "loss": 0.1079, "step": 4380 }, { "epoch": 70.24, "learning_rate": 0.0002920967741935484, "loss": 0.1031, "step": 4390 }, { "epoch": 70.4, "learning_rate": 0.0002904838709677419, "loss": 0.0927, "step": 4400 }, { "epoch": 70.56, "learning_rate": 0.0002888709677419355, "loss": 0.1085, "step": 4410 }, { "epoch": 70.72, "learning_rate": 0.000287258064516129, "loss": 0.1092, "step": 4420 }, { "epoch": 70.88, "learning_rate": 0.0002856451612903226, "loss": 0.0949, "step": 4430 }, { "epoch": 70.99, "eval_accuracy": 0.8472378804960541, "eval_loss": 0.6548543572425842, "eval_runtime": 28.0888, "eval_samples_per_second": 63.157, "eval_steps_per_second": 0.997, "step": 4437 }, { "epoch": 71.04, "learning_rate": 0.00028403225806451613, "loss": 0.1037, "step": 4440 }, { "epoch": 71.2, "learning_rate": 0.0002824193548387097, "loss": 0.1136, "step": 4450 }, { "epoch": 71.36, "learning_rate": 0.00028080645161290325, "loss": 0.0862, "step": 4460 }, { "epoch": 71.52, "learning_rate": 0.00027919354838709675, "loss": 0.1058, "step": 4470 }, { "epoch": 71.68, "learning_rate": 0.0002775806451612903, "loss": 0.1019, "step": 4480 }, { "epoch": 71.84, "learning_rate": 0.00027596774193548387, "loss": 0.1134, "step": 4490 }, { "epoch": 72.0, "learning_rate": 0.00027435483870967743, "loss": 0.0998, "step": 4500 }, { "epoch": 72.0, "eval_accuracy": 0.8478015783540023, "eval_loss": 0.6151257157325745, "eval_runtime": 28.1977, "eval_samples_per_second": 62.913, "eval_steps_per_second": 0.993, "step": 4500 }, { "epoch": 72.16, "learning_rate": 0.000272741935483871, "loss": 0.0872, "step": 4510 }, { "epoch": 72.32, "learning_rate": 0.0002711290322580645, "loss": 0.0963, "step": 4520 }, { "epoch": 72.48, "learning_rate": 0.0002695161290322581, "loss": 0.0852, "step": 4530 }, { "epoch": 72.64, "learning_rate": 0.0002679032258064516, "loss": 0.0984, "step": 4540 }, { "epoch": 72.8, "learning_rate": 0.00026629032258064517, "loss": 0.099, "step": 4550 }, { "epoch": 72.96, "learning_rate": 0.00026467741935483867, "loss": 0.0861, "step": 4560 }, { "epoch": 72.99, "eval_accuracy": 0.8489289740698985, "eval_loss": 0.614136278629303, "eval_runtime": 28.0817, "eval_samples_per_second": 63.173, "eval_steps_per_second": 0.997, "step": 4562 }, { "epoch": 73.12, "learning_rate": 0.0002630645161290323, "loss": 0.08, "step": 4570 }, { "epoch": 73.28, "learning_rate": 0.00026145161290322584, "loss": 0.1114, "step": 4580 }, { "epoch": 73.44, "learning_rate": 0.00025983870967741934, "loss": 0.1046, "step": 4590 }, { "epoch": 73.6, "learning_rate": 0.0002582258064516129, "loss": 0.0929, "step": 4600 }, { "epoch": 73.76, "learning_rate": 0.00025661290322580646, "loss": 0.0834, "step": 4610 }, { "epoch": 73.92, "learning_rate": 0.000255, "loss": 0.099, "step": 4620 }, { "epoch": 74.0, "eval_accuracy": 0.8517474633596392, "eval_loss": 0.6109188795089722, "eval_runtime": 28.0633, "eval_samples_per_second": 63.214, "eval_steps_per_second": 0.998, "step": 4625 }, { "epoch": 74.08, "learning_rate": 0.0002533870967741935, "loss": 0.1019, "step": 4630 }, { "epoch": 74.24, "learning_rate": 0.0002517741935483871, "loss": 0.094, "step": 4640 }, { "epoch": 74.4, "learning_rate": 0.0002501612903225807, "loss": 0.1015, "step": 4650 }, { "epoch": 74.56, "learning_rate": 0.0002485483870967742, "loss": 0.0993, "step": 4660 }, { "epoch": 74.72, "learning_rate": 0.00024693548387096775, "loss": 0.0891, "step": 4670 }, { "epoch": 74.88, "learning_rate": 0.0002453225806451613, "loss": 0.0848, "step": 4680 }, { "epoch": 74.99, "eval_accuracy": 0.8478015783540023, "eval_loss": 0.620224118232727, "eval_runtime": 28.0241, "eval_samples_per_second": 63.303, "eval_steps_per_second": 0.999, "step": 4687 }, { "epoch": 75.04, "learning_rate": 0.00024370967741935484, "loss": 0.1051, "step": 4690 }, { "epoch": 75.2, "learning_rate": 0.0002420967741935484, "loss": 0.1093, "step": 4700 }, { "epoch": 75.36, "learning_rate": 0.00024048387096774193, "loss": 0.0857, "step": 4710 }, { "epoch": 75.52, "learning_rate": 0.0002388709677419355, "loss": 0.1061, "step": 4720 }, { "epoch": 75.68, "learning_rate": 0.00023725806451612902, "loss": 0.0892, "step": 4730 }, { "epoch": 75.84, "learning_rate": 0.0002356451612903226, "loss": 0.095, "step": 4740 }, { "epoch": 76.0, "learning_rate": 0.00023403225806451614, "loss": 0.0881, "step": 4750 }, { "epoch": 76.0, "eval_accuracy": 0.85456595264938, "eval_loss": 0.6248630881309509, "eval_runtime": 28.2315, "eval_samples_per_second": 62.838, "eval_steps_per_second": 0.992, "step": 4750 }, { "epoch": 76.16, "learning_rate": 0.0002324193548387097, "loss": 0.0901, "step": 4760 }, { "epoch": 76.32, "learning_rate": 0.00023080645161290323, "loss": 0.092, "step": 4770 }, { "epoch": 76.48, "learning_rate": 0.00022919354838709679, "loss": 0.0922, "step": 4780 }, { "epoch": 76.64, "learning_rate": 0.00022758064516129032, "loss": 0.0964, "step": 4790 }, { "epoch": 76.8, "learning_rate": 0.0002259677419354839, "loss": 0.0972, "step": 4800 }, { "epoch": 76.96, "learning_rate": 0.00022435483870967743, "loss": 0.1046, "step": 4810 }, { "epoch": 76.99, "eval_accuracy": 0.8568207440811725, "eval_loss": 0.6102315783500671, "eval_runtime": 28.0363, "eval_samples_per_second": 63.275, "eval_steps_per_second": 0.999, "step": 4812 }, { "epoch": 77.12, "learning_rate": 0.00022274193548387096, "loss": 0.0826, "step": 4820 }, { "epoch": 77.28, "learning_rate": 0.00022112903225806452, "loss": 0.0921, "step": 4830 }, { "epoch": 77.44, "learning_rate": 0.00021951612903225805, "loss": 0.0906, "step": 4840 }, { "epoch": 77.6, "learning_rate": 0.0002179032258064516, "loss": 0.0933, "step": 4850 }, { "epoch": 77.76, "learning_rate": 0.00021629032258064514, "loss": 0.0742, "step": 4860 }, { "epoch": 77.92, "learning_rate": 0.00021467741935483873, "loss": 0.0859, "step": 4870 }, { "epoch": 78.0, "eval_accuracy": 0.8624577226606539, "eval_loss": 0.6111776232719421, "eval_runtime": 27.9757, "eval_samples_per_second": 63.412, "eval_steps_per_second": 1.001, "step": 4875 }, { "epoch": 78.08, "learning_rate": 0.00021306451612903226, "loss": 0.1, "step": 4880 }, { "epoch": 78.24, "learning_rate": 0.00021145161290322582, "loss": 0.092, "step": 4890 }, { "epoch": 78.4, "learning_rate": 0.00020983870967741935, "loss": 0.0771, "step": 4900 }, { "epoch": 78.56, "learning_rate": 0.0002082258064516129, "loss": 0.0928, "step": 4910 }, { "epoch": 78.72, "learning_rate": 0.00020661290322580644, "loss": 0.0971, "step": 4920 }, { "epoch": 78.88, "learning_rate": 0.000205, "loss": 0.0946, "step": 4930 }, { "epoch": 78.99, "eval_accuracy": 0.863021420518602, "eval_loss": 0.6136212944984436, "eval_runtime": 28.0893, "eval_samples_per_second": 63.156, "eval_steps_per_second": 0.997, "step": 4937 }, { "epoch": 79.04, "learning_rate": 0.00020338709677419355, "loss": 0.0892, "step": 4940 }, { "epoch": 79.2, "learning_rate": 0.0002017741935483871, "loss": 0.0833, "step": 4950 }, { "epoch": 79.36, "learning_rate": 0.00020016129032258064, "loss": 0.0956, "step": 4960 }, { "epoch": 79.52, "learning_rate": 0.0001985483870967742, "loss": 0.0865, "step": 4970 }, { "epoch": 79.68, "learning_rate": 0.00019693548387096773, "loss": 0.0848, "step": 4980 }, { "epoch": 79.84, "learning_rate": 0.0001953225806451613, "loss": 0.0973, "step": 4990 }, { "epoch": 80.0, "learning_rate": 0.00019370967741935482, "loss": 0.0902, "step": 5000 }, { "epoch": 80.0, "eval_accuracy": 0.863021420518602, "eval_loss": 0.6027141213417053, "eval_runtime": 28.2443, "eval_samples_per_second": 62.809, "eval_steps_per_second": 0.991, "step": 5000 }, { "epoch": 80.16, "learning_rate": 0.0001920967741935484, "loss": 0.09, "step": 5010 }, { "epoch": 80.32, "learning_rate": 0.00019048387096774194, "loss": 0.0998, "step": 5020 }, { "epoch": 80.48, "learning_rate": 0.0001888709677419355, "loss": 0.0877, "step": 5030 }, { "epoch": 80.64, "learning_rate": 0.00018725806451612903, "loss": 0.0928, "step": 5040 }, { "epoch": 80.8, "learning_rate": 0.00018564516129032258, "loss": 0.0895, "step": 5050 }, { "epoch": 80.96, "learning_rate": 0.00018403225806451612, "loss": 0.093, "step": 5060 }, { "epoch": 80.99, "eval_accuracy": 0.8641488162344984, "eval_loss": 0.6099376082420349, "eval_runtime": 27.9879, "eval_samples_per_second": 63.385, "eval_steps_per_second": 1.0, "step": 5062 }, { "epoch": 81.12, "learning_rate": 0.0001824193548387097, "loss": 0.0809, "step": 5070 }, { "epoch": 81.28, "learning_rate": 0.00018080645161290323, "loss": 0.0947, "step": 5080 }, { "epoch": 81.44, "learning_rate": 0.0001791935483870968, "loss": 0.0886, "step": 5090 }, { "epoch": 81.6, "learning_rate": 0.00017758064516129032, "loss": 0.0915, "step": 5100 }, { "epoch": 81.76, "learning_rate": 0.00017596774193548388, "loss": 0.0873, "step": 5110 }, { "epoch": 81.92, "learning_rate": 0.0001743548387096774, "loss": 0.0857, "step": 5120 }, { "epoch": 82.0, "eval_accuracy": 0.8697857948139797, "eval_loss": 0.5907533764839172, "eval_runtime": 28.1441, "eval_samples_per_second": 63.033, "eval_steps_per_second": 0.995, "step": 5125 }, { "epoch": 82.08, "learning_rate": 0.00017274193548387097, "loss": 0.0941, "step": 5130 }, { "epoch": 82.24, "learning_rate": 0.00017112903225806453, "loss": 0.0914, "step": 5140 }, { "epoch": 82.4, "learning_rate": 0.00016951612903225809, "loss": 0.1, "step": 5150 }, { "epoch": 82.56, "learning_rate": 0.00016790322580645162, "loss": 0.0954, "step": 5160 }, { "epoch": 82.72, "learning_rate": 0.00016629032258064517, "loss": 0.1008, "step": 5170 }, { "epoch": 82.88, "learning_rate": 0.0001646774193548387, "loss": 0.0983, "step": 5180 }, { "epoch": 82.99, "eval_accuracy": 0.8624577226606539, "eval_loss": 0.5939348340034485, "eval_runtime": 28.2324, "eval_samples_per_second": 62.836, "eval_steps_per_second": 0.992, "step": 5187 }, { "epoch": 83.04, "learning_rate": 0.00016306451612903226, "loss": 0.091, "step": 5190 }, { "epoch": 83.2, "learning_rate": 0.0001614516129032258, "loss": 0.0852, "step": 5200 }, { "epoch": 83.36, "learning_rate": 0.00015983870967741938, "loss": 0.0883, "step": 5210 }, { "epoch": 83.52, "learning_rate": 0.0001582258064516129, "loss": 0.088, "step": 5220 }, { "epoch": 83.68, "learning_rate": 0.00015661290322580647, "loss": 0.1049, "step": 5230 }, { "epoch": 83.84, "learning_rate": 0.000155, "loss": 0.0909, "step": 5240 }, { "epoch": 84.0, "learning_rate": 0.00015338709677419356, "loss": 0.0819, "step": 5250 }, { "epoch": 84.0, "eval_accuracy": 0.8602029312288614, "eval_loss": 0.6138933897018433, "eval_runtime": 28.1467, "eval_samples_per_second": 63.027, "eval_steps_per_second": 0.995, "step": 5250 }, { "epoch": 84.16, "learning_rate": 0.0001517741935483871, "loss": 0.0896, "step": 5260 }, { "epoch": 84.32, "learning_rate": 0.00015016129032258065, "loss": 0.0853, "step": 5270 }, { "epoch": 84.48, "learning_rate": 0.0001485483870967742, "loss": 0.0679, "step": 5280 }, { "epoch": 84.64, "learning_rate": 0.00014693548387096776, "loss": 0.0839, "step": 5290 }, { "epoch": 84.8, "learning_rate": 0.0001453225806451613, "loss": 0.0979, "step": 5300 }, { "epoch": 84.96, "learning_rate": 0.00014370967741935485, "loss": 0.0815, "step": 5310 }, { "epoch": 84.99, "eval_accuracy": 0.8635851183765502, "eval_loss": 0.6171460747718811, "eval_runtime": 28.1596, "eval_samples_per_second": 62.998, "eval_steps_per_second": 0.994, "step": 5312 }, { "epoch": 85.12, "learning_rate": 0.00014209677419354838, "loss": 0.0835, "step": 5320 }, { "epoch": 85.28, "learning_rate": 0.00014048387096774191, "loss": 0.0801, "step": 5330 }, { "epoch": 85.44, "learning_rate": 0.0001388709677419355, "loss": 0.0864, "step": 5340 }, { "epoch": 85.6, "learning_rate": 0.00013725806451612903, "loss": 0.0825, "step": 5350 }, { "epoch": 85.76, "learning_rate": 0.0001356451612903226, "loss": 0.0899, "step": 5360 }, { "epoch": 85.92, "learning_rate": 0.00013403225806451612, "loss": 0.0758, "step": 5370 }, { "epoch": 86.0, "eval_accuracy": 0.8635851183765502, "eval_loss": 0.6262893080711365, "eval_runtime": 28.1545, "eval_samples_per_second": 63.01, "eval_steps_per_second": 0.995, "step": 5375 }, { "epoch": 86.08, "learning_rate": 0.00013241935483870968, "loss": 0.1037, "step": 5380 }, { "epoch": 86.24, "learning_rate": 0.0001308064516129032, "loss": 0.0775, "step": 5390 }, { "epoch": 86.4, "learning_rate": 0.00012919354838709677, "loss": 0.0828, "step": 5400 }, { "epoch": 86.56, "learning_rate": 0.00012758064516129033, "loss": 0.0959, "step": 5410 }, { "epoch": 86.72, "learning_rate": 0.00012596774193548388, "loss": 0.0705, "step": 5420 }, { "epoch": 86.88, "learning_rate": 0.00012435483870967742, "loss": 0.0856, "step": 5430 }, { "epoch": 86.99, "eval_accuracy": 0.8618940248027057, "eval_loss": 0.6136890649795532, "eval_runtime": 28.2092, "eval_samples_per_second": 62.887, "eval_steps_per_second": 0.993, "step": 5437 }, { "epoch": 87.04, "learning_rate": 0.00012274193548387097, "loss": 0.0837, "step": 5440 }, { "epoch": 87.2, "learning_rate": 0.00012112903225806452, "loss": 0.0735, "step": 5450 }, { "epoch": 87.36, "learning_rate": 0.00011951612903225808, "loss": 0.0918, "step": 5460 }, { "epoch": 87.52, "learning_rate": 0.00011790322580645162, "loss": 0.0829, "step": 5470 }, { "epoch": 87.68, "learning_rate": 0.00011629032258064517, "loss": 0.085, "step": 5480 }, { "epoch": 87.84, "learning_rate": 0.00011467741935483871, "loss": 0.0964, "step": 5490 }, { "epoch": 88.0, "learning_rate": 0.00011306451612903227, "loss": 0.0922, "step": 5500 }, { "epoch": 88.0, "eval_accuracy": 0.8647125140924464, "eval_loss": 0.6294208765029907, "eval_runtime": 28.0673, "eval_samples_per_second": 63.205, "eval_steps_per_second": 0.998, "step": 5500 }, { "epoch": 88.16, "learning_rate": 0.00011145161290322581, "loss": 0.0968, "step": 5510 }, { "epoch": 88.32, "learning_rate": 0.00010983870967741936, "loss": 0.0903, "step": 5520 }, { "epoch": 88.48, "learning_rate": 0.00010822580645161292, "loss": 0.0795, "step": 5530 }, { "epoch": 88.64, "learning_rate": 0.00010661290322580646, "loss": 0.0789, "step": 5540 }, { "epoch": 88.8, "learning_rate": 0.000105, "loss": 0.0959, "step": 5550 }, { "epoch": 88.96, "learning_rate": 0.00010338709677419356, "loss": 0.0728, "step": 5560 }, { "epoch": 88.99, "eval_accuracy": 0.8618940248027057, "eval_loss": 0.625676691532135, "eval_runtime": 28.1963, "eval_samples_per_second": 62.916, "eval_steps_per_second": 0.993, "step": 5562 }, { "epoch": 89.12, "learning_rate": 0.00010177419354838711, "loss": 0.0859, "step": 5570 }, { "epoch": 89.28, "learning_rate": 0.00010016129032258064, "loss": 0.0818, "step": 5580 }, { "epoch": 89.44, "learning_rate": 9.854838709677418e-05, "loss": 0.0902, "step": 5590 }, { "epoch": 89.6, "learning_rate": 9.693548387096774e-05, "loss": 0.0732, "step": 5600 }, { "epoch": 89.76, "learning_rate": 9.532258064516129e-05, "loss": 0.0823, "step": 5610 }, { "epoch": 89.92, "learning_rate": 9.370967741935483e-05, "loss": 0.0791, "step": 5620 }, { "epoch": 90.0, "eval_accuracy": 0.8658399098083427, "eval_loss": 0.6167757511138916, "eval_runtime": 28.1598, "eval_samples_per_second": 62.998, "eval_steps_per_second": 0.994, "step": 5625 }, { "epoch": 90.08, "learning_rate": 9.209677419354839e-05, "loss": 0.0995, "step": 5630 }, { "epoch": 90.24, "learning_rate": 9.048387096774193e-05, "loss": 0.0949, "step": 5640 }, { "epoch": 90.4, "learning_rate": 8.887096774193548e-05, "loss": 0.0843, "step": 5650 }, { "epoch": 90.56, "learning_rate": 8.725806451612904e-05, "loss": 0.0714, "step": 5660 }, { "epoch": 90.72, "learning_rate": 8.564516129032258e-05, "loss": 0.0794, "step": 5670 }, { "epoch": 90.88, "learning_rate": 8.403225806451612e-05, "loss": 0.0761, "step": 5680 }, { "epoch": 90.99, "eval_accuracy": 0.8675310033821871, "eval_loss": 0.6233435869216919, "eval_runtime": 28.2317, "eval_samples_per_second": 62.837, "eval_steps_per_second": 0.992, "step": 5687 }, { "epoch": 91.04, "learning_rate": 8.241935483870967e-05, "loss": 0.0825, "step": 5690 }, { "epoch": 91.2, "learning_rate": 8.080645161290323e-05, "loss": 0.0808, "step": 5700 }, { "epoch": 91.36, "learning_rate": 7.919354838709677e-05, "loss": 0.0823, "step": 5710 }, { "epoch": 91.52, "learning_rate": 7.758064516129032e-05, "loss": 0.0776, "step": 5720 }, { "epoch": 91.68, "learning_rate": 7.596774193548387e-05, "loss": 0.0891, "step": 5730 }, { "epoch": 91.84, "learning_rate": 7.435483870967742e-05, "loss": 0.076, "step": 5740 }, { "epoch": 92.0, "learning_rate": 7.274193548387096e-05, "loss": 0.0734, "step": 5750 }, { "epoch": 92.0, "eval_accuracy": 0.8652762119503946, "eval_loss": 0.6209710836410522, "eval_runtime": 28.4761, "eval_samples_per_second": 62.298, "eval_steps_per_second": 0.983, "step": 5750 }, { "epoch": 92.16, "learning_rate": 7.112903225806452e-05, "loss": 0.0934, "step": 5760 }, { "epoch": 92.32, "learning_rate": 6.951612903225807e-05, "loss": 0.0831, "step": 5770 }, { "epoch": 92.48, "learning_rate": 6.790322580645161e-05, "loss": 0.078, "step": 5780 }, { "epoch": 92.64, "learning_rate": 6.629032258064516e-05, "loss": 0.0802, "step": 5790 }, { "epoch": 92.8, "learning_rate": 6.467741935483871e-05, "loss": 0.0848, "step": 5800 }, { "epoch": 92.96, "learning_rate": 6.306451612903226e-05, "loss": 0.085, "step": 5810 }, { "epoch": 92.99, "eval_accuracy": 0.863021420518602, "eval_loss": 0.6186871528625488, "eval_runtime": 28.2516, "eval_samples_per_second": 62.793, "eval_steps_per_second": 0.991, "step": 5812 }, { "epoch": 93.12, "learning_rate": 6.145161290322582e-05, "loss": 0.0674, "step": 5820 }, { "epoch": 93.28, "learning_rate": 5.9838709677419355e-05, "loss": 0.0878, "step": 5830 }, { "epoch": 93.44, "learning_rate": 5.8225806451612906e-05, "loss": 0.0733, "step": 5840 }, { "epoch": 93.6, "learning_rate": 5.661290322580645e-05, "loss": 0.0753, "step": 5850 }, { "epoch": 93.76, "learning_rate": 5.5e-05, "loss": 0.0726, "step": 5860 }, { "epoch": 93.92, "learning_rate": 5.338709677419355e-05, "loss": 0.0816, "step": 5870 }, { "epoch": 94.0, "eval_accuracy": 0.8624577226606539, "eval_loss": 0.6182591319084167, "eval_runtime": 28.2701, "eval_samples_per_second": 62.752, "eval_steps_per_second": 0.99, "step": 5875 }, { "epoch": 94.08, "learning_rate": 5.17741935483871e-05, "loss": 0.0768, "step": 5880 }, { "epoch": 94.24, "learning_rate": 5.016129032258065e-05, "loss": 0.0827, "step": 5890 }, { "epoch": 94.4, "learning_rate": 4.8548387096774194e-05, "loss": 0.0756, "step": 5900 }, { "epoch": 94.56, "learning_rate": 4.6935483870967745e-05, "loss": 0.076, "step": 5910 }, { "epoch": 94.72, "learning_rate": 4.53225806451613e-05, "loss": 0.0817, "step": 5920 }, { "epoch": 94.88, "learning_rate": 4.370967741935484e-05, "loss": 0.0763, "step": 5930 }, { "epoch": 94.99, "eval_accuracy": 0.8686583990980834, "eval_loss": 0.6206808686256409, "eval_runtime": 28.1778, "eval_samples_per_second": 62.957, "eval_steps_per_second": 0.994, "step": 5937 }, { "epoch": 95.04, "learning_rate": 4.209677419354839e-05, "loss": 0.0817, "step": 5940 }, { "epoch": 95.2, "learning_rate": 4.048387096774194e-05, "loss": 0.0961, "step": 5950 }, { "epoch": 95.36, "learning_rate": 3.887096774193549e-05, "loss": 0.0767, "step": 5960 }, { "epoch": 95.52, "learning_rate": 3.7258064516129026e-05, "loss": 0.0724, "step": 5970 }, { "epoch": 95.68, "learning_rate": 3.564516129032258e-05, "loss": 0.0807, "step": 5980 }, { "epoch": 95.84, "learning_rate": 3.403225806451613e-05, "loss": 0.0814, "step": 5990 }, { "epoch": 96.0, "learning_rate": 3.2419354838709674e-05, "loss": 0.077, "step": 6000 }, { "epoch": 96.0, "eval_accuracy": 0.8664036076662909, "eval_loss": 0.6160728335380554, "eval_runtime": 28.2948, "eval_samples_per_second": 62.697, "eval_steps_per_second": 0.99, "step": 6000 }, { "epoch": 96.16, "learning_rate": 3.0806451612903225e-05, "loss": 0.0777, "step": 6010 }, { "epoch": 96.32, "learning_rate": 2.9193548387096776e-05, "loss": 0.0786, "step": 6020 }, { "epoch": 96.48, "learning_rate": 2.7580645161290324e-05, "loss": 0.081, "step": 6030 }, { "epoch": 96.64, "learning_rate": 2.596774193548387e-05, "loss": 0.0765, "step": 6040 }, { "epoch": 96.8, "learning_rate": 2.4354838709677417e-05, "loss": 0.0776, "step": 6050 }, { "epoch": 96.96, "learning_rate": 2.274193548387097e-05, "loss": 0.0872, "step": 6060 }, { "epoch": 96.99, "eval_accuracy": 0.8664036076662909, "eval_loss": 0.6126649379730225, "eval_runtime": 28.0863, "eval_samples_per_second": 63.162, "eval_steps_per_second": 0.997, "step": 6062 }, { "epoch": 97.12, "learning_rate": 2.1129032258064516e-05, "loss": 0.0804, "step": 6070 }, { "epoch": 97.28, "learning_rate": 1.9516129032258064e-05, "loss": 0.0801, "step": 6080 }, { "epoch": 97.44, "learning_rate": 1.7903225806451612e-05, "loss": 0.0769, "step": 6090 }, { "epoch": 97.6, "learning_rate": 1.629032258064516e-05, "loss": 0.0862, "step": 6100 }, { "epoch": 97.76, "learning_rate": 1.467741935483871e-05, "loss": 0.0778, "step": 6110 }, { "epoch": 97.92, "learning_rate": 1.306451612903226e-05, "loss": 0.0741, "step": 6120 }, { "epoch": 98.0, "eval_accuracy": 0.8686583990980834, "eval_loss": 0.6152112483978271, "eval_runtime": 29.2862, "eval_samples_per_second": 60.575, "eval_steps_per_second": 0.956, "step": 6125 }, { "epoch": 98.08, "learning_rate": 1.1451612903225808e-05, "loss": 0.07, "step": 6130 }, { "epoch": 98.24, "learning_rate": 9.838709677419354e-06, "loss": 0.0789, "step": 6140 }, { "epoch": 98.4, "learning_rate": 8.225806451612904e-06, "loss": 0.0875, "step": 6150 }, { "epoch": 98.56, "learning_rate": 6.612903225806452e-06, "loss": 0.0747, "step": 6160 }, { "epoch": 98.72, "learning_rate": 5e-06, "loss": 0.0859, "step": 6170 }, { "epoch": 98.88, "learning_rate": 3.3870967741935484e-06, "loss": 0.0746, "step": 6180 }, { "epoch": 98.99, "eval_accuracy": 0.8669673055242391, "eval_loss": 0.6146878600120544, "eval_runtime": 29.8754, "eval_samples_per_second": 59.38, "eval_steps_per_second": 0.937, "step": 6187 }, { "epoch": 99.04, "learning_rate": 1.774193548387097e-06, "loss": 0.0843, "step": 6190 }, { "epoch": 99.2, "learning_rate": 1.6129032258064518e-07, "loss": 0.0804, "step": 6200 }, { "epoch": 99.2, "eval_accuracy": 0.8669673055242391, "eval_loss": 0.6146762371063232, "eval_runtime": 29.3602, "eval_samples_per_second": 60.422, "eval_steps_per_second": 0.954, "step": 6200 }, { "epoch": 99.2, "step": 6200, "total_flos": 1.2605379356394072e+20, "train_loss": 0.21611337065696717, "train_runtime": 29981.4436, "train_samples_per_second": 53.223, "train_steps_per_second": 0.207 } ], "logging_steps": 10, "max_steps": 6200, "num_train_epochs": 100, "save_steps": 500, "total_flos": 1.2605379356394072e+20, "trial_name": null, "trial_params": null }