| { | |
| "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 | |
| } | |