| { |
| "best_metric": 0.9318181818181818, |
| "best_model_checkpoint": "beit-base-patch16-224-85-fold5/checkpoint-92", |
| "epoch": 100.0, |
| "eval_steps": 500, |
| "global_step": 200, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.29545454545454547, |
| "eval_loss": 1.089578628540039, |
| "eval_runtime": 0.7021, |
| "eval_samples_per_second": 62.667, |
| "eval_steps_per_second": 2.849, |
| "step": 2 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.7272727272727273, |
| "eval_loss": 0.6455699801445007, |
| "eval_runtime": 0.6856, |
| "eval_samples_per_second": 64.174, |
| "eval_steps_per_second": 2.917, |
| "step": 4 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.7045454545454546, |
| "eval_loss": 1.0355168581008911, |
| "eval_runtime": 0.6996, |
| "eval_samples_per_second": 62.897, |
| "eval_steps_per_second": 2.859, |
| "step": 6 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.7045454545454546, |
| "eval_loss": 0.9123974442481995, |
| "eval_runtime": 0.6813, |
| "eval_samples_per_second": 64.582, |
| "eval_steps_per_second": 2.936, |
| "step": 8 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 9.428820610046387, |
| "learning_rate": 2.5e-05, |
| "loss": 0.7607, |
| "step": 10 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.7954545454545454, |
| "eval_loss": 0.5808687210083008, |
| "eval_runtime": 0.672, |
| "eval_samples_per_second": 65.48, |
| "eval_steps_per_second": 2.976, |
| "step": 10 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.6812124848365784, |
| "eval_runtime": 0.6683, |
| "eval_samples_per_second": 65.834, |
| "eval_steps_per_second": 2.992, |
| "step": 12 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.6529408097267151, |
| "eval_runtime": 0.6753, |
| "eval_samples_per_second": 65.16, |
| "eval_steps_per_second": 2.962, |
| "step": 14 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.7272727272727273, |
| "eval_loss": 0.717404305934906, |
| "eval_runtime": 0.7009, |
| "eval_samples_per_second": 62.778, |
| "eval_steps_per_second": 2.854, |
| "step": 16 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_accuracy": 0.6136363636363636, |
| "eval_loss": 0.6618563532829285, |
| "eval_runtime": 0.6832, |
| "eval_samples_per_second": 64.403, |
| "eval_steps_per_second": 2.927, |
| "step": 18 |
| }, |
| { |
| "epoch": 10.0, |
| "grad_norm": 6.730888843536377, |
| "learning_rate": 5e-05, |
| "loss": 0.4221, |
| "step": 20 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.80633944272995, |
| "eval_runtime": 0.6867, |
| "eval_samples_per_second": 64.075, |
| "eval_steps_per_second": 2.912, |
| "step": 20 |
| }, |
| { |
| "epoch": 11.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.6371808648109436, |
| "eval_runtime": 0.6802, |
| "eval_samples_per_second": 64.689, |
| "eval_steps_per_second": 2.94, |
| "step": 22 |
| }, |
| { |
| "epoch": 12.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.588646411895752, |
| "eval_runtime": 0.6871, |
| "eval_samples_per_second": 64.039, |
| "eval_steps_per_second": 2.911, |
| "step": 24 |
| }, |
| { |
| "epoch": 13.0, |
| "eval_accuracy": 0.6363636363636364, |
| "eval_loss": 0.6359339356422424, |
| "eval_runtime": 0.6771, |
| "eval_samples_per_second": 64.986, |
| "eval_steps_per_second": 2.954, |
| "step": 26 |
| }, |
| { |
| "epoch": 14.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5584580898284912, |
| "eval_runtime": 0.6833, |
| "eval_samples_per_second": 64.391, |
| "eval_steps_per_second": 2.927, |
| "step": 28 |
| }, |
| { |
| "epoch": 15.0, |
| "grad_norm": 9.09820556640625, |
| "learning_rate": 4.722222222222222e-05, |
| "loss": 0.3287, |
| "step": 30 |
| }, |
| { |
| "epoch": 15.0, |
| "eval_accuracy": 0.7272727272727273, |
| "eval_loss": 0.45406511425971985, |
| "eval_runtime": 0.6778, |
| "eval_samples_per_second": 64.917, |
| "eval_steps_per_second": 2.951, |
| "step": 30 |
| }, |
| { |
| "epoch": 16.0, |
| "eval_accuracy": 0.5681818181818182, |
| "eval_loss": 0.7624431252479553, |
| "eval_runtime": 0.6791, |
| "eval_samples_per_second": 64.788, |
| "eval_steps_per_second": 2.945, |
| "step": 32 |
| }, |
| { |
| "epoch": 17.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.6805771589279175, |
| "eval_runtime": 0.6896, |
| "eval_samples_per_second": 63.807, |
| "eval_steps_per_second": 2.9, |
| "step": 34 |
| }, |
| { |
| "epoch": 18.0, |
| "eval_accuracy": 0.7272727272727273, |
| "eval_loss": 0.7707971930503845, |
| "eval_runtime": 0.6822, |
| "eval_samples_per_second": 64.496, |
| "eval_steps_per_second": 2.932, |
| "step": 36 |
| }, |
| { |
| "epoch": 19.0, |
| "eval_accuracy": 0.7272727272727273, |
| "eval_loss": 0.416960209608078, |
| "eval_runtime": 0.6839, |
| "eval_samples_per_second": 64.337, |
| "eval_steps_per_second": 2.924, |
| "step": 38 |
| }, |
| { |
| "epoch": 20.0, |
| "grad_norm": 12.929576873779297, |
| "learning_rate": 4.4444444444444447e-05, |
| "loss": 0.3663, |
| "step": 40 |
| }, |
| { |
| "epoch": 20.0, |
| "eval_accuracy": 0.7727272727272727, |
| "eval_loss": 0.42817583680152893, |
| "eval_runtime": 0.684, |
| "eval_samples_per_second": 64.327, |
| "eval_steps_per_second": 2.924, |
| "step": 40 |
| }, |
| { |
| "epoch": 21.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5613061785697937, |
| "eval_runtime": 0.6869, |
| "eval_samples_per_second": 64.059, |
| "eval_steps_per_second": 2.912, |
| "step": 42 |
| }, |
| { |
| "epoch": 22.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.4025155007839203, |
| "eval_runtime": 0.7081, |
| "eval_samples_per_second": 62.136, |
| "eval_steps_per_second": 2.824, |
| "step": 44 |
| }, |
| { |
| "epoch": 23.0, |
| "eval_accuracy": 0.7954545454545454, |
| "eval_loss": 0.41085565090179443, |
| "eval_runtime": 0.7009, |
| "eval_samples_per_second": 62.774, |
| "eval_steps_per_second": 2.853, |
| "step": 46 |
| }, |
| { |
| "epoch": 24.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.4372767508029938, |
| "eval_runtime": 0.6888, |
| "eval_samples_per_second": 63.878, |
| "eval_steps_per_second": 2.904, |
| "step": 48 |
| }, |
| { |
| "epoch": 25.0, |
| "grad_norm": 6.6011061668396, |
| "learning_rate": 4.166666666666667e-05, |
| "loss": 0.2344, |
| "step": 50 |
| }, |
| { |
| "epoch": 25.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.3210701644420624, |
| "eval_runtime": 0.6782, |
| "eval_samples_per_second": 64.873, |
| "eval_steps_per_second": 2.949, |
| "step": 50 |
| }, |
| { |
| "epoch": 26.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.5560834407806396, |
| "eval_runtime": 0.6873, |
| "eval_samples_per_second": 64.014, |
| "eval_steps_per_second": 2.91, |
| "step": 52 |
| }, |
| { |
| "epoch": 27.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.31488853693008423, |
| "eval_runtime": 0.6879, |
| "eval_samples_per_second": 63.96, |
| "eval_steps_per_second": 2.907, |
| "step": 54 |
| }, |
| { |
| "epoch": 28.0, |
| "eval_accuracy": 0.7954545454545454, |
| "eval_loss": 0.31661316752433777, |
| "eval_runtime": 0.679, |
| "eval_samples_per_second": 64.805, |
| "eval_steps_per_second": 2.946, |
| "step": 56 |
| }, |
| { |
| "epoch": 29.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.4163520932197571, |
| "eval_runtime": 0.6778, |
| "eval_samples_per_second": 64.92, |
| "eval_steps_per_second": 2.951, |
| "step": 58 |
| }, |
| { |
| "epoch": 30.0, |
| "grad_norm": 5.3891143798828125, |
| "learning_rate": 3.888888888888889e-05, |
| "loss": 0.2051, |
| "step": 60 |
| }, |
| { |
| "epoch": 30.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.4345444440841675, |
| "eval_runtime": 0.6869, |
| "eval_samples_per_second": 64.054, |
| "eval_steps_per_second": 2.912, |
| "step": 60 |
| }, |
| { |
| "epoch": 31.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.31803134083747864, |
| "eval_runtime": 0.6887, |
| "eval_samples_per_second": 63.886, |
| "eval_steps_per_second": 2.904, |
| "step": 62 |
| }, |
| { |
| "epoch": 32.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.3673260509967804, |
| "eval_runtime": 0.6835, |
| "eval_samples_per_second": 64.377, |
| "eval_steps_per_second": 2.926, |
| "step": 64 |
| }, |
| { |
| "epoch": 33.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.43128955364227295, |
| "eval_runtime": 0.682, |
| "eval_samples_per_second": 64.517, |
| "eval_steps_per_second": 2.933, |
| "step": 66 |
| }, |
| { |
| "epoch": 34.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.43590399622917175, |
| "eval_runtime": 0.6788, |
| "eval_samples_per_second": 64.824, |
| "eval_steps_per_second": 2.947, |
| "step": 68 |
| }, |
| { |
| "epoch": 35.0, |
| "grad_norm": 3.639585256576538, |
| "learning_rate": 3.611111111111111e-05, |
| "loss": 0.1694, |
| "step": 70 |
| }, |
| { |
| "epoch": 35.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.36998674273490906, |
| "eval_runtime": 0.6829, |
| "eval_samples_per_second": 64.428, |
| "eval_steps_per_second": 2.929, |
| "step": 70 |
| }, |
| { |
| "epoch": 36.0, |
| "eval_accuracy": 0.7954545454545454, |
| "eval_loss": 0.584349513053894, |
| "eval_runtime": 0.6937, |
| "eval_samples_per_second": 63.427, |
| "eval_steps_per_second": 2.883, |
| "step": 72 |
| }, |
| { |
| "epoch": 37.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.4064345061779022, |
| "eval_runtime": 0.7057, |
| "eval_samples_per_second": 62.346, |
| "eval_steps_per_second": 2.834, |
| "step": 74 |
| }, |
| { |
| "epoch": 38.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.39915817975997925, |
| "eval_runtime": 0.682, |
| "eval_samples_per_second": 64.516, |
| "eval_steps_per_second": 2.933, |
| "step": 76 |
| }, |
| { |
| "epoch": 39.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.3152655363082886, |
| "eval_runtime": 0.6899, |
| "eval_samples_per_second": 63.778, |
| "eval_steps_per_second": 2.899, |
| "step": 78 |
| }, |
| { |
| "epoch": 40.0, |
| "grad_norm": 5.693894863128662, |
| "learning_rate": 3.3333333333333335e-05, |
| "loss": 0.1566, |
| "step": 80 |
| }, |
| { |
| "epoch": 40.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.5581021904945374, |
| "eval_runtime": 0.6812, |
| "eval_samples_per_second": 64.596, |
| "eval_steps_per_second": 2.936, |
| "step": 80 |
| }, |
| { |
| "epoch": 41.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.2921257019042969, |
| "eval_runtime": 0.6885, |
| "eval_samples_per_second": 63.908, |
| "eval_steps_per_second": 2.905, |
| "step": 82 |
| }, |
| { |
| "epoch": 42.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.32171034812927246, |
| "eval_runtime": 0.684, |
| "eval_samples_per_second": 64.326, |
| "eval_steps_per_second": 2.924, |
| "step": 84 |
| }, |
| { |
| "epoch": 43.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.32552286982536316, |
| "eval_runtime": 0.6845, |
| "eval_samples_per_second": 64.277, |
| "eval_steps_per_second": 2.922, |
| "step": 86 |
| }, |
| { |
| "epoch": 44.0, |
| "eval_accuracy": 0.75, |
| "eval_loss": 0.723772406578064, |
| "eval_runtime": 0.7032, |
| "eval_samples_per_second": 62.569, |
| "eval_steps_per_second": 2.844, |
| "step": 88 |
| }, |
| { |
| "epoch": 45.0, |
| "grad_norm": 9.99726676940918, |
| "learning_rate": 3.055555555555556e-05, |
| "loss": 0.1389, |
| "step": 90 |
| }, |
| { |
| "epoch": 45.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.40532952547073364, |
| "eval_runtime": 0.6753, |
| "eval_samples_per_second": 65.154, |
| "eval_steps_per_second": 2.962, |
| "step": 90 |
| }, |
| { |
| "epoch": 46.0, |
| "eval_accuracy": 0.9318181818181818, |
| "eval_loss": 0.24986252188682556, |
| "eval_runtime": 0.6918, |
| "eval_samples_per_second": 63.603, |
| "eval_steps_per_second": 2.891, |
| "step": 92 |
| }, |
| { |
| "epoch": 47.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.2584282159805298, |
| "eval_runtime": 0.6836, |
| "eval_samples_per_second": 64.362, |
| "eval_steps_per_second": 2.926, |
| "step": 94 |
| }, |
| { |
| "epoch": 48.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.44320380687713623, |
| "eval_runtime": 0.6851, |
| "eval_samples_per_second": 64.225, |
| "eval_steps_per_second": 2.919, |
| "step": 96 |
| }, |
| { |
| "epoch": 49.0, |
| "eval_accuracy": 0.7954545454545454, |
| "eval_loss": 0.6965329647064209, |
| "eval_runtime": 0.6828, |
| "eval_samples_per_second": 64.443, |
| "eval_steps_per_second": 2.929, |
| "step": 98 |
| }, |
| { |
| "epoch": 50.0, |
| "grad_norm": 5.456106662750244, |
| "learning_rate": 2.777777777777778e-05, |
| "loss": 0.1311, |
| "step": 100 |
| }, |
| { |
| "epoch": 50.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.39098644256591797, |
| "eval_runtime": 0.6828, |
| "eval_samples_per_second": 64.437, |
| "eval_steps_per_second": 2.929, |
| "step": 100 |
| }, |
| { |
| "epoch": 51.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.30165335536003113, |
| "eval_runtime": 0.6957, |
| "eval_samples_per_second": 63.242, |
| "eval_steps_per_second": 2.875, |
| "step": 102 |
| }, |
| { |
| "epoch": 52.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.30502772331237793, |
| "eval_runtime": 0.6903, |
| "eval_samples_per_second": 63.743, |
| "eval_steps_per_second": 2.897, |
| "step": 104 |
| }, |
| { |
| "epoch": 53.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.21932415664196014, |
| "eval_runtime": 0.6995, |
| "eval_samples_per_second": 62.902, |
| "eval_steps_per_second": 2.859, |
| "step": 106 |
| }, |
| { |
| "epoch": 54.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.23692327737808228, |
| "eval_runtime": 0.6924, |
| "eval_samples_per_second": 63.544, |
| "eval_steps_per_second": 2.888, |
| "step": 108 |
| }, |
| { |
| "epoch": 55.0, |
| "grad_norm": 2.8878471851348877, |
| "learning_rate": 2.5e-05, |
| "loss": 0.1386, |
| "step": 110 |
| }, |
| { |
| "epoch": 55.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.31426045298576355, |
| "eval_runtime": 0.6968, |
| "eval_samples_per_second": 63.146, |
| "eval_steps_per_second": 2.87, |
| "step": 110 |
| }, |
| { |
| "epoch": 56.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.29323482513427734, |
| "eval_runtime": 0.6884, |
| "eval_samples_per_second": 63.916, |
| "eval_steps_per_second": 2.905, |
| "step": 112 |
| }, |
| { |
| "epoch": 57.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.27247121930122375, |
| "eval_runtime": 0.6889, |
| "eval_samples_per_second": 63.868, |
| "eval_steps_per_second": 2.903, |
| "step": 114 |
| }, |
| { |
| "epoch": 58.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.566352128982544, |
| "eval_runtime": 0.6829, |
| "eval_samples_per_second": 64.432, |
| "eval_steps_per_second": 2.929, |
| "step": 116 |
| }, |
| { |
| "epoch": 59.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.5874523520469666, |
| "eval_runtime": 0.6823, |
| "eval_samples_per_second": 64.484, |
| "eval_steps_per_second": 2.931, |
| "step": 118 |
| }, |
| { |
| "epoch": 60.0, |
| "grad_norm": 5.098616123199463, |
| "learning_rate": 2.2222222222222223e-05, |
| "loss": 0.1194, |
| "step": 120 |
| }, |
| { |
| "epoch": 60.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.46228501200675964, |
| "eval_runtime": 0.6928, |
| "eval_samples_per_second": 63.507, |
| "eval_steps_per_second": 2.887, |
| "step": 120 |
| }, |
| { |
| "epoch": 61.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.4716045558452606, |
| "eval_runtime": 0.6856, |
| "eval_samples_per_second": 64.174, |
| "eval_steps_per_second": 2.917, |
| "step": 122 |
| }, |
| { |
| "epoch": 62.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.5028097033500671, |
| "eval_runtime": 0.6887, |
| "eval_samples_per_second": 63.887, |
| "eval_steps_per_second": 2.904, |
| "step": 124 |
| }, |
| { |
| "epoch": 63.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.4557519257068634, |
| "eval_runtime": 0.6871, |
| "eval_samples_per_second": 64.04, |
| "eval_steps_per_second": 2.911, |
| "step": 126 |
| }, |
| { |
| "epoch": 64.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.47977954149246216, |
| "eval_runtime": 0.6832, |
| "eval_samples_per_second": 64.4, |
| "eval_steps_per_second": 2.927, |
| "step": 128 |
| }, |
| { |
| "epoch": 65.0, |
| "grad_norm": 4.329418659210205, |
| "learning_rate": 1.9444444444444445e-05, |
| "loss": 0.1122, |
| "step": 130 |
| }, |
| { |
| "epoch": 65.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.3826620876789093, |
| "eval_runtime": 0.6842, |
| "eval_samples_per_second": 64.31, |
| "eval_steps_per_second": 2.923, |
| "step": 130 |
| }, |
| { |
| "epoch": 66.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.3652952313423157, |
| "eval_runtime": 0.6915, |
| "eval_samples_per_second": 63.63, |
| "eval_steps_per_second": 2.892, |
| "step": 132 |
| }, |
| { |
| "epoch": 67.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.3972075581550598, |
| "eval_runtime": 0.6803, |
| "eval_samples_per_second": 64.678, |
| "eval_steps_per_second": 2.94, |
| "step": 134 |
| }, |
| { |
| "epoch": 68.0, |
| "eval_accuracy": 0.7727272727272727, |
| "eval_loss": 0.5704622864723206, |
| "eval_runtime": 0.6889, |
| "eval_samples_per_second": 63.868, |
| "eval_steps_per_second": 2.903, |
| "step": 136 |
| }, |
| { |
| "epoch": 69.0, |
| "eval_accuracy": 0.7727272727272727, |
| "eval_loss": 0.5934601426124573, |
| "eval_runtime": 0.6795, |
| "eval_samples_per_second": 64.752, |
| "eval_steps_per_second": 2.943, |
| "step": 138 |
| }, |
| { |
| "epoch": 70.0, |
| "grad_norm": 3.6549811363220215, |
| "learning_rate": 1.6666666666666667e-05, |
| "loss": 0.1041, |
| "step": 140 |
| }, |
| { |
| "epoch": 70.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.3905385136604309, |
| "eval_runtime": 0.6809, |
| "eval_samples_per_second": 64.623, |
| "eval_steps_per_second": 2.937, |
| "step": 140 |
| }, |
| { |
| "epoch": 71.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.27905356884002686, |
| "eval_runtime": 0.6869, |
| "eval_samples_per_second": 64.051, |
| "eval_steps_per_second": 2.911, |
| "step": 142 |
| }, |
| { |
| "epoch": 72.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.28452473878860474, |
| "eval_runtime": 0.6826, |
| "eval_samples_per_second": 64.463, |
| "eval_steps_per_second": 2.93, |
| "step": 144 |
| }, |
| { |
| "epoch": 73.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.24005986750125885, |
| "eval_runtime": 0.6824, |
| "eval_samples_per_second": 64.477, |
| "eval_steps_per_second": 2.931, |
| "step": 146 |
| }, |
| { |
| "epoch": 74.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.2259605973958969, |
| "eval_runtime": 0.6828, |
| "eval_samples_per_second": 64.437, |
| "eval_steps_per_second": 2.929, |
| "step": 148 |
| }, |
| { |
| "epoch": 75.0, |
| "grad_norm": 3.5433380603790283, |
| "learning_rate": 1.388888888888889e-05, |
| "loss": 0.0982, |
| "step": 150 |
| }, |
| { |
| "epoch": 75.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.2454221248626709, |
| "eval_runtime": 0.6812, |
| "eval_samples_per_second": 64.589, |
| "eval_steps_per_second": 2.936, |
| "step": 150 |
| }, |
| { |
| "epoch": 76.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.3772827386856079, |
| "eval_runtime": 0.7099, |
| "eval_samples_per_second": 61.983, |
| "eval_steps_per_second": 2.817, |
| "step": 152 |
| }, |
| { |
| "epoch": 77.0, |
| "eval_accuracy": 0.8181818181818182, |
| "eval_loss": 0.618475615978241, |
| "eval_runtime": 0.6861, |
| "eval_samples_per_second": 64.132, |
| "eval_steps_per_second": 2.915, |
| "step": 154 |
| }, |
| { |
| "epoch": 78.0, |
| "eval_accuracy": 0.7727272727272727, |
| "eval_loss": 0.7238039374351501, |
| "eval_runtime": 0.6796, |
| "eval_samples_per_second": 64.746, |
| "eval_steps_per_second": 2.943, |
| "step": 156 |
| }, |
| { |
| "epoch": 79.0, |
| "eval_accuracy": 0.8409090909090909, |
| "eval_loss": 0.5469216704368591, |
| "eval_runtime": 0.687, |
| "eval_samples_per_second": 64.051, |
| "eval_steps_per_second": 2.911, |
| "step": 158 |
| }, |
| { |
| "epoch": 80.0, |
| "grad_norm": 3.139439344406128, |
| "learning_rate": 1.1111111111111112e-05, |
| "loss": 0.1065, |
| "step": 160 |
| }, |
| { |
| "epoch": 80.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.4317708909511566, |
| "eval_runtime": 0.6729, |
| "eval_samples_per_second": 65.391, |
| "eval_steps_per_second": 2.972, |
| "step": 160 |
| }, |
| { |
| "epoch": 81.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.33475610613822937, |
| "eval_runtime": 0.685, |
| "eval_samples_per_second": 64.237, |
| "eval_steps_per_second": 2.92, |
| "step": 162 |
| }, |
| { |
| "epoch": 82.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.3040803372859955, |
| "eval_runtime": 0.7242, |
| "eval_samples_per_second": 60.758, |
| "eval_steps_per_second": 2.762, |
| "step": 164 |
| }, |
| { |
| "epoch": 83.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.33496472239494324, |
| "eval_runtime": 0.6781, |
| "eval_samples_per_second": 64.888, |
| "eval_steps_per_second": 2.949, |
| "step": 166 |
| }, |
| { |
| "epoch": 84.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.34641969203948975, |
| "eval_runtime": 0.6832, |
| "eval_samples_per_second": 64.4, |
| "eval_steps_per_second": 2.927, |
| "step": 168 |
| }, |
| { |
| "epoch": 85.0, |
| "grad_norm": 3.164541482925415, |
| "learning_rate": 8.333333333333334e-06, |
| "loss": 0.0829, |
| "step": 170 |
| }, |
| { |
| "epoch": 85.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.33745819330215454, |
| "eval_runtime": 0.6769, |
| "eval_samples_per_second": 64.998, |
| "eval_steps_per_second": 2.954, |
| "step": 170 |
| }, |
| { |
| "epoch": 86.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.33091866970062256, |
| "eval_runtime": 0.6868, |
| "eval_samples_per_second": 64.069, |
| "eval_steps_per_second": 2.912, |
| "step": 172 |
| }, |
| { |
| "epoch": 87.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.33253809809684753, |
| "eval_runtime": 0.6828, |
| "eval_samples_per_second": 64.44, |
| "eval_steps_per_second": 2.929, |
| "step": 174 |
| }, |
| { |
| "epoch": 88.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.3441101312637329, |
| "eval_runtime": 0.6847, |
| "eval_samples_per_second": 64.259, |
| "eval_steps_per_second": 2.921, |
| "step": 176 |
| }, |
| { |
| "epoch": 89.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.34555572271347046, |
| "eval_runtime": 0.7006, |
| "eval_samples_per_second": 62.805, |
| "eval_steps_per_second": 2.855, |
| "step": 178 |
| }, |
| { |
| "epoch": 90.0, |
| "grad_norm": 2.9145150184631348, |
| "learning_rate": 5.555555555555556e-06, |
| "loss": 0.0902, |
| "step": 180 |
| }, |
| { |
| "epoch": 90.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.32443130016326904, |
| "eval_runtime": 0.6801, |
| "eval_samples_per_second": 64.698, |
| "eval_steps_per_second": 2.941, |
| "step": 180 |
| }, |
| { |
| "epoch": 91.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.3126292824745178, |
| "eval_runtime": 0.6994, |
| "eval_samples_per_second": 62.913, |
| "eval_steps_per_second": 2.86, |
| "step": 182 |
| }, |
| { |
| "epoch": 92.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.3116739094257355, |
| "eval_runtime": 0.6939, |
| "eval_samples_per_second": 63.409, |
| "eval_steps_per_second": 2.882, |
| "step": 184 |
| }, |
| { |
| "epoch": 93.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.28766298294067383, |
| "eval_runtime": 0.6892, |
| "eval_samples_per_second": 63.845, |
| "eval_steps_per_second": 2.902, |
| "step": 186 |
| }, |
| { |
| "epoch": 94.0, |
| "eval_accuracy": 0.8636363636363636, |
| "eval_loss": 0.26428502798080444, |
| "eval_runtime": 0.7034, |
| "eval_samples_per_second": 62.55, |
| "eval_steps_per_second": 2.843, |
| "step": 188 |
| }, |
| { |
| "epoch": 95.0, |
| "grad_norm": 2.80922269821167, |
| "learning_rate": 2.777777777777778e-06, |
| "loss": 0.0838, |
| "step": 190 |
| }, |
| { |
| "epoch": 95.0, |
| "eval_accuracy": 0.8863636363636364, |
| "eval_loss": 0.25247523188591003, |
| "eval_runtime": 0.6832, |
| "eval_samples_per_second": 64.4, |
| "eval_steps_per_second": 2.927, |
| "step": 190 |
| }, |
| { |
| "epoch": 96.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.24620772898197174, |
| "eval_runtime": 0.6948, |
| "eval_samples_per_second": 63.325, |
| "eval_steps_per_second": 2.878, |
| "step": 192 |
| }, |
| { |
| "epoch": 97.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.24165372550487518, |
| "eval_runtime": 0.6884, |
| "eval_samples_per_second": 63.918, |
| "eval_steps_per_second": 2.905, |
| "step": 194 |
| }, |
| { |
| "epoch": 98.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.24015091359615326, |
| "eval_runtime": 0.6834, |
| "eval_samples_per_second": 64.382, |
| "eval_steps_per_second": 2.926, |
| "step": 196 |
| }, |
| { |
| "epoch": 99.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.24094568192958832, |
| "eval_runtime": 0.6957, |
| "eval_samples_per_second": 63.249, |
| "eval_steps_per_second": 2.875, |
| "step": 198 |
| }, |
| { |
| "epoch": 100.0, |
| "grad_norm": 2.4933438301086426, |
| "learning_rate": 0.0, |
| "loss": 0.0747, |
| "step": 200 |
| }, |
| { |
| "epoch": 100.0, |
| "eval_accuracy": 0.9090909090909091, |
| "eval_loss": 0.24256624281406403, |
| "eval_runtime": 0.6904, |
| "eval_samples_per_second": 63.734, |
| "eval_steps_per_second": 2.897, |
| "step": 200 |
| }, |
| { |
| "epoch": 100.0, |
| "step": 200, |
| "total_flos": 1.8822505078960128e+18, |
| "train_loss": 0.19619473487138747, |
| "train_runtime": 1209.7214, |
| "train_samples_per_second": 20.087, |
| "train_steps_per_second": 0.165 |
| }, |
| { |
| "epoch": 100.0, |
| "eval_accuracy": 0.9318181818181818, |
| "eval_loss": 0.24986252188682556, |
| "eval_runtime": 0.7488, |
| "eval_samples_per_second": 58.758, |
| "eval_steps_per_second": 2.671, |
| "step": 200 |
| } |
| ], |
| "logging_steps": 10, |
| "max_steps": 200, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 100, |
| "save_steps": 500, |
| "total_flos": 1.8822505078960128e+18, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
