| { | |
| "best_metric": 0.95625, | |
| "best_model_checkpoint": "resnet-18-feature-extraction/checkpoint-26", | |
| "epoch": 49.8, | |
| "global_step": 100, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.8, | |
| "eval_accuracy": 0.75, | |
| "eval_f1": 0.8412698412698413, | |
| "eval_loss": 0.6231745481491089, | |
| "eval_precision": 0.9636363636363636, | |
| "eval_recall": 0.7464788732394366, | |
| "eval_roc_auc": 0.7621283255086071, | |
| "eval_runtime": 5.3474, | |
| "eval_samples_per_second": 29.921, | |
| "eval_steps_per_second": 0.561, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "eval_accuracy": 0.4875, | |
| "eval_f1": 0.5940594059405941, | |
| "eval_loss": 0.6971184611320496, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.4225352112676056, | |
| "eval_roc_auc": 0.7112676056338028, | |
| "eval_runtime": 4.1245, | |
| "eval_samples_per_second": 38.792, | |
| "eval_steps_per_second": 0.727, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "eval_accuracy": 0.2875, | |
| "eval_f1": 0.32941176470588235, | |
| "eval_loss": 0.7914562821388245, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.19718309859154928, | |
| "eval_roc_auc": 0.5985915492957746, | |
| "eval_runtime": 4.0788, | |
| "eval_samples_per_second": 39.227, | |
| "eval_steps_per_second": 0.736, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.8, | |
| "eval_accuracy": 0.2875, | |
| "eval_f1": 0.32941176470588235, | |
| "eval_loss": 0.8479948043823242, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.19718309859154928, | |
| "eval_roc_auc": 0.5985915492957746, | |
| "eval_runtime": 3.9544, | |
| "eval_samples_per_second": 40.462, | |
| "eval_steps_per_second": 0.759, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "learning_rate": 2e-05, | |
| "loss": 0.8651, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "eval_accuracy": 0.25625, | |
| "eval_f1": 0.2787878787878788, | |
| "eval_loss": 0.9093517065048218, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.1619718309859155, | |
| "eval_roc_auc": 0.5809859154929577, | |
| "eval_runtime": 4.143, | |
| "eval_samples_per_second": 38.62, | |
| "eval_steps_per_second": 0.724, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.8, | |
| "eval_accuracy": 0.5625, | |
| "eval_f1": 0.6728971962616822, | |
| "eval_loss": 0.7470346689224243, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.5070422535211268, | |
| "eval_roc_auc": 0.7535211267605634, | |
| "eval_runtime": 3.9679, | |
| "eval_samples_per_second": 40.323, | |
| "eval_steps_per_second": 0.756, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.8, | |
| "eval_accuracy": 0.85, | |
| "eval_f1": 0.9076923076923077, | |
| "eval_loss": 0.5915343165397644, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.8309859154929577, | |
| "eval_roc_auc": 0.9154929577464789, | |
| "eval_runtime": 4.0338, | |
| "eval_samples_per_second": 39.665, | |
| "eval_steps_per_second": 0.744, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "eval_accuracy": 0.8875, | |
| "eval_f1": 0.9333333333333333, | |
| "eval_loss": 0.4816938042640686, | |
| "eval_precision": 0.984375, | |
| "eval_recall": 0.8873239436619719, | |
| "eval_roc_auc": 0.8881064162754304, | |
| "eval_runtime": 4.0258, | |
| "eval_samples_per_second": 39.743, | |
| "eval_steps_per_second": 0.745, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.8, | |
| "eval_accuracy": 0.91875, | |
| "eval_f1": 0.9530685920577617, | |
| "eval_loss": 0.34547853469848633, | |
| "eval_precision": 0.9777777777777777, | |
| "eval_recall": 0.9295774647887324, | |
| "eval_roc_auc": 0.881455399061033, | |
| "eval_runtime": 3.9749, | |
| "eval_samples_per_second": 40.253, | |
| "eval_steps_per_second": 0.755, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.8, | |
| "learning_rate": 1.7777777777777777e-05, | |
| "loss": 0.5349, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 9.8, | |
| "eval_accuracy": 0.91875, | |
| "eval_f1": 0.9534050179211471, | |
| "eval_loss": 0.29664501547813416, | |
| "eval_precision": 0.9708029197080292, | |
| "eval_recall": 0.9366197183098591, | |
| "eval_roc_auc": 0.8571987480438183, | |
| "eval_runtime": 4.2704, | |
| "eval_samples_per_second": 37.467, | |
| "eval_steps_per_second": 0.703, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.972027972027972, | |
| "eval_loss": 0.23471388220787048, | |
| "eval_precision": 0.9652777777777778, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.850547730829421, | |
| "eval_runtime": 3.9069, | |
| "eval_samples_per_second": 40.953, | |
| "eval_steps_per_second": 0.768, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.8, | |
| "eval_accuracy": 0.93125, | |
| "eval_f1": 0.9611307420494699, | |
| "eval_loss": 0.2467934787273407, | |
| "eval_precision": 0.9645390070921985, | |
| "eval_recall": 0.9577464788732394, | |
| "eval_roc_auc": 0.8399843505477309, | |
| "eval_runtime": 4.025, | |
| "eval_samples_per_second": 39.751, | |
| "eval_steps_per_second": 0.745, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.8, | |
| "eval_accuracy": 0.95625, | |
| "eval_f1": 0.9754385964912281, | |
| "eval_loss": 0.23101434111595154, | |
| "eval_precision": 0.972027972027972, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.8783255086071988, | |
| "eval_runtime": 4.0457, | |
| "eval_samples_per_second": 39.548, | |
| "eval_steps_per_second": 0.742, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.8, | |
| "eval_accuracy": 0.93125, | |
| "eval_f1": 0.9614035087719298, | |
| "eval_loss": 0.2082931101322174, | |
| "eval_precision": 0.958041958041958, | |
| "eval_recall": 0.9647887323943662, | |
| "eval_roc_auc": 0.8157276995305165, | |
| "eval_runtime": 4.0645, | |
| "eval_samples_per_second": 39.366, | |
| "eval_steps_per_second": 0.738, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.8, | |
| "learning_rate": 1.555555555555556e-05, | |
| "loss": 0.3593, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 14.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.9652777777777778, | |
| "eval_loss": 0.18395133316516876, | |
| "eval_precision": 0.952054794520548, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.7949921752738655, | |
| "eval_runtime": 3.8518, | |
| "eval_samples_per_second": 41.539, | |
| "eval_steps_per_second": 0.779, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.9647887323943662, | |
| "eval_loss": 0.19472570717334747, | |
| "eval_precision": 0.9647887323943662, | |
| "eval_recall": 0.9647887323943662, | |
| "eval_roc_auc": 0.8435054773082942, | |
| "eval_runtime": 4.1431, | |
| "eval_samples_per_second": 38.618, | |
| "eval_steps_per_second": 0.724, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.8, | |
| "eval_accuracy": 0.93125, | |
| "eval_f1": 0.9616724738675958, | |
| "eval_loss": 0.1836571842432022, | |
| "eval_precision": 0.9517241379310345, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.7914710485133021, | |
| "eval_runtime": 4.0848, | |
| "eval_samples_per_second": 39.17, | |
| "eval_steps_per_second": 0.734, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9688581314878894, | |
| "eval_loss": 0.1819494664669037, | |
| "eval_precision": 0.9523809523809523, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.7985133020344288, | |
| "eval_runtime": 3.9897, | |
| "eval_samples_per_second": 40.104, | |
| "eval_steps_per_second": 0.752, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.968421052631579, | |
| "eval_loss": 0.19235201179981232, | |
| "eval_precision": 0.965034965034965, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8470266040688575, | |
| "eval_runtime": 4.041, | |
| "eval_samples_per_second": 39.594, | |
| "eval_steps_per_second": 0.742, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.8, | |
| "learning_rate": 1.3333333333333333e-05, | |
| "loss": 0.2737, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 19.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.972027972027972, | |
| "eval_loss": 0.1990378201007843, | |
| "eval_precision": 0.9652777777777778, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.850547730829421, | |
| "eval_runtime": 4.1236, | |
| "eval_samples_per_second": 38.801, | |
| "eval_steps_per_second": 0.728, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 20.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.971830985915493, | |
| "eval_loss": 0.1758503019809723, | |
| "eval_precision": 0.971830985915493, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8748043818466354, | |
| "eval_runtime": 4.1193, | |
| "eval_samples_per_second": 38.841, | |
| "eval_steps_per_second": 0.728, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 21.8, | |
| "eval_accuracy": 0.93125, | |
| "eval_f1": 0.9616724738675958, | |
| "eval_loss": 0.18040268123149872, | |
| "eval_precision": 0.9517241379310345, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.7914710485133021, | |
| "eval_runtime": 3.8662, | |
| "eval_samples_per_second": 41.384, | |
| "eval_steps_per_second": 0.776, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 22.8, | |
| "eval_accuracy": 0.93125, | |
| "eval_f1": 0.9616724738675958, | |
| "eval_loss": 0.16663400828838348, | |
| "eval_precision": 0.9517241379310345, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.7914710485133021, | |
| "eval_runtime": 4.3016, | |
| "eval_samples_per_second": 37.195, | |
| "eval_steps_per_second": 0.697, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 23.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9688581314878894, | |
| "eval_loss": 0.15337304770946503, | |
| "eval_precision": 0.9523809523809523, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.7985133020344288, | |
| "eval_runtime": 4.0456, | |
| "eval_samples_per_second": 39.549, | |
| "eval_steps_per_second": 0.742, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 24.8, | |
| "learning_rate": 1.1111111111111113e-05, | |
| "loss": 0.2278, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 24.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.9652777777777778, | |
| "eval_loss": 0.16116251051425934, | |
| "eval_precision": 0.952054794520548, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.7949921752738655, | |
| "eval_runtime": 4.0452, | |
| "eval_samples_per_second": 39.553, | |
| "eval_steps_per_second": 0.742, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 25.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9686411149825783, | |
| "eval_loss": 0.15349864959716797, | |
| "eval_precision": 0.9586206896551724, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.8227699530516432, | |
| "eval_runtime": 6.0991, | |
| "eval_samples_per_second": 26.233, | |
| "eval_steps_per_second": 0.492, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 26.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9681978798586572, | |
| "eval_loss": 0.1568022519350052, | |
| "eval_precision": 0.9716312056737588, | |
| "eval_recall": 0.9647887323943662, | |
| "eval_roc_auc": 0.871283255086072, | |
| "eval_runtime": 4.0891, | |
| "eval_samples_per_second": 39.128, | |
| "eval_steps_per_second": 0.734, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 27.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.9645390070921985, | |
| "eval_loss": 0.21069078147411346, | |
| "eval_precision": 0.9714285714285714, | |
| "eval_recall": 0.9577464788732394, | |
| "eval_roc_auc": 0.8677621283255086, | |
| "eval_runtime": 4.1257, | |
| "eval_samples_per_second": 38.781, | |
| "eval_steps_per_second": 0.727, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 28.8, | |
| "eval_accuracy": 0.93125, | |
| "eval_f1": 0.9616724738675958, | |
| "eval_loss": 0.15922358632087708, | |
| "eval_precision": 0.9517241379310345, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.7914710485133021, | |
| "eval_runtime": 3.944, | |
| "eval_samples_per_second": 40.568, | |
| "eval_steps_per_second": 0.761, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 29.8, | |
| "learning_rate": 8.888888888888888e-06, | |
| "loss": 0.2057, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 29.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.9647887323943662, | |
| "eval_loss": 0.15567776560783386, | |
| "eval_precision": 0.9647887323943662, | |
| "eval_recall": 0.9647887323943662, | |
| "eval_roc_auc": 0.8435054773082942, | |
| "eval_runtime": 3.9386, | |
| "eval_samples_per_second": 40.624, | |
| "eval_steps_per_second": 0.762, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 30.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.968421052631579, | |
| "eval_loss": 0.1714434176683426, | |
| "eval_precision": 0.965034965034965, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8470266040688575, | |
| "eval_runtime": 4.1925, | |
| "eval_samples_per_second": 38.164, | |
| "eval_steps_per_second": 0.716, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 31.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.972027972027972, | |
| "eval_loss": 0.15714499354362488, | |
| "eval_precision": 0.9652777777777778, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.850547730829421, | |
| "eval_runtime": 4.3684, | |
| "eval_samples_per_second": 36.627, | |
| "eval_steps_per_second": 0.687, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 32.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.965034965034965, | |
| "eval_loss": 0.15739548206329346, | |
| "eval_precision": 0.9583333333333334, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8192488262910799, | |
| "eval_runtime": 3.9613, | |
| "eval_samples_per_second": 40.39, | |
| "eval_steps_per_second": 0.757, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 33.8, | |
| "eval_accuracy": 0.95625, | |
| "eval_f1": 0.9754385964912281, | |
| "eval_loss": 0.1422826498746872, | |
| "eval_precision": 0.972027972027972, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.8783255086071988, | |
| "eval_runtime": 3.9825, | |
| "eval_samples_per_second": 40.175, | |
| "eval_steps_per_second": 0.753, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 34.8, | |
| "learning_rate": 6.666666666666667e-06, | |
| "loss": 0.2, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 34.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.968421052631579, | |
| "eval_loss": 0.16770192980766296, | |
| "eval_precision": 0.965034965034965, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8470266040688575, | |
| "eval_runtime": 4.1697, | |
| "eval_samples_per_second": 38.372, | |
| "eval_steps_per_second": 0.719, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 35.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.965034965034965, | |
| "eval_loss": 0.1559743881225586, | |
| "eval_precision": 0.9583333333333334, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8192488262910799, | |
| "eval_runtime": 4.0897, | |
| "eval_samples_per_second": 39.123, | |
| "eval_steps_per_second": 0.734, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 36.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.9652777777777778, | |
| "eval_loss": 0.15941758453845978, | |
| "eval_precision": 0.952054794520548, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.7949921752738655, | |
| "eval_runtime": 4.0474, | |
| "eval_samples_per_second": 39.531, | |
| "eval_steps_per_second": 0.741, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 37.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9686411149825783, | |
| "eval_loss": 0.15121030807495117, | |
| "eval_precision": 0.9586206896551724, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.8227699530516432, | |
| "eval_runtime": 4.2667, | |
| "eval_samples_per_second": 37.499, | |
| "eval_steps_per_second": 0.703, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 38.8, | |
| "eval_accuracy": 0.95625, | |
| "eval_f1": 0.975609756097561, | |
| "eval_loss": 0.13959212601184845, | |
| "eval_precision": 0.9655172413793104, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.8540688575899843, | |
| "eval_runtime": 4.0576, | |
| "eval_samples_per_second": 39.432, | |
| "eval_steps_per_second": 0.739, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 39.8, | |
| "learning_rate": 4.444444444444444e-06, | |
| "loss": 0.1838, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 39.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.965034965034965, | |
| "eval_loss": 0.15085594356060028, | |
| "eval_precision": 0.9583333333333334, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8192488262910799, | |
| "eval_runtime": 3.9857, | |
| "eval_samples_per_second": 40.144, | |
| "eval_steps_per_second": 0.753, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 40.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.971830985915493, | |
| "eval_loss": 0.15287616848945618, | |
| "eval_precision": 0.971830985915493, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8748043818466354, | |
| "eval_runtime": 5.1236, | |
| "eval_samples_per_second": 31.228, | |
| "eval_steps_per_second": 0.586, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 41.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.972027972027972, | |
| "eval_loss": 0.1505597084760666, | |
| "eval_precision": 0.9652777777777778, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.850547730829421, | |
| "eval_runtime": 4.2192, | |
| "eval_samples_per_second": 37.921, | |
| "eval_steps_per_second": 0.711, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 42.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.972027972027972, | |
| "eval_loss": 0.1549244374036789, | |
| "eval_precision": 0.9652777777777778, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.850547730829421, | |
| "eval_runtime": 3.8602, | |
| "eval_samples_per_second": 41.448, | |
| "eval_steps_per_second": 0.777, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 43.8, | |
| "eval_accuracy": 0.95625, | |
| "eval_f1": 0.975609756097561, | |
| "eval_loss": 0.13305585086345673, | |
| "eval_precision": 0.9655172413793104, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.8540688575899843, | |
| "eval_runtime": 4.2919, | |
| "eval_samples_per_second": 37.28, | |
| "eval_steps_per_second": 0.699, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 44.8, | |
| "learning_rate": 2.222222222222222e-06, | |
| "loss": 0.1872, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 44.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9688581314878894, | |
| "eval_loss": 0.14087018370628357, | |
| "eval_precision": 0.9523809523809523, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.7985133020344288, | |
| "eval_runtime": 4.0748, | |
| "eval_samples_per_second": 39.266, | |
| "eval_steps_per_second": 0.736, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 45.8, | |
| "eval_accuracy": 0.9375, | |
| "eval_f1": 0.965034965034965, | |
| "eval_loss": 0.1639305055141449, | |
| "eval_precision": 0.9583333333333334, | |
| "eval_recall": 0.971830985915493, | |
| "eval_roc_auc": 0.8192488262910799, | |
| "eval_runtime": 3.9376, | |
| "eval_samples_per_second": 40.634, | |
| "eval_steps_per_second": 0.762, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 46.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.9722222222222222, | |
| "eval_loss": 0.1390833854675293, | |
| "eval_precision": 0.958904109589041, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.8262910798122067, | |
| "eval_runtime": 3.9934, | |
| "eval_samples_per_second": 40.066, | |
| "eval_steps_per_second": 0.751, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 47.8, | |
| "eval_accuracy": 0.95625, | |
| "eval_f1": 0.975609756097561, | |
| "eval_loss": 0.14361494779586792, | |
| "eval_precision": 0.9655172413793104, | |
| "eval_recall": 0.9859154929577465, | |
| "eval_roc_auc": 0.8540688575899843, | |
| "eval_runtime": 4.2477, | |
| "eval_samples_per_second": 37.667, | |
| "eval_steps_per_second": 0.706, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 48.8, | |
| "eval_accuracy": 0.94375, | |
| "eval_f1": 0.9686411149825783, | |
| "eval_loss": 0.1442493200302124, | |
| "eval_precision": 0.9586206896551724, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.8227699530516432, | |
| "eval_runtime": 4.0963, | |
| "eval_samples_per_second": 39.059, | |
| "eval_steps_per_second": 0.732, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 49.8, | |
| "learning_rate": 0.0, | |
| "loss": 0.185, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 49.8, | |
| "eval_accuracy": 0.95, | |
| "eval_f1": 0.972027972027972, | |
| "eval_loss": 0.1484707146883011, | |
| "eval_precision": 0.9652777777777778, | |
| "eval_recall": 0.9788732394366197, | |
| "eval_roc_auc": 0.850547730829421, | |
| "eval_runtime": 3.8936, | |
| "eval_samples_per_second": 41.093, | |
| "eval_steps_per_second": 0.77, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 49.8, | |
| "step": 100, | |
| "total_flos": 3.197753854288036e+17, | |
| "train_loss": 0.3222511351108551, | |
| "train_runtime": 425.6784, | |
| "train_samples_per_second": 74.704, | |
| "train_steps_per_second": 0.235 | |
| } | |
| ], | |
| "max_steps": 100, | |
| "num_train_epochs": 50, | |
| "total_flos": 3.197753854288036e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |