| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.8800880088008801, | |
| "eval_steps": 100, | |
| "global_step": 700, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 8.996486892091073e-06, | |
| "loss": 0.4664, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 8.985953053665263e-06, | |
| "loss": 0.3347, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 8.968414932060827e-06, | |
| "loss": 0.2232, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 8.94389991097275e-06, | |
| "loss": 0.213, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 8.912446267696357e-06, | |
| "loss": 0.1234, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 8.874103113361848e-06, | |
| "loss": 0.1673, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 8.828930316253112e-06, | |
| "loss": 0.119, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 8.7769984083305e-06, | |
| "loss": 0.1706, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 8.718388475103545e-06, | |
| "loss": 0.1219, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "learning_rate": 8.653192029025561e-06, | |
| "loss": 0.1952, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.07885408401489258, | |
| "eval_runtime": 41.9306, | |
| "eval_samples_per_second": 67.445, | |
| "eval_steps_per_second": 16.861, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 8.581510866607817e-06, | |
| "loss": 0.1524, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 8.503456909476364e-06, | |
| "loss": 0.1673, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 8.419152029619696e-06, | |
| "loss": 0.1217, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 8.32872785910012e-06, | |
| "loss": 0.1325, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 8.232325584525908e-06, | |
| "loss": 0.1048, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 8.130095726605169e-06, | |
| "loss": 0.0894, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 8.022197905125629e-06, | |
| "loss": 0.1635, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 7.90880058972729e-06, | |
| "loss": 0.1144, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 7.790080836857073e-06, | |
| "loss": 0.1336, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 7.666224013316203e-06, | |
| "loss": 0.0753, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.01828611083328724, | |
| "eval_runtime": 43.6178, | |
| "eval_samples_per_second": 64.836, | |
| "eval_steps_per_second": 16.209, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 7.537423506831948e-06, | |
| "loss": 0.1167, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 7.403880424105644e-06, | |
| "loss": 0.1221, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 7.2658032768084485e-06, | |
| "loss": 0.1258, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 7.123407656015124e-06, | |
| "loss": 0.1295, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 6.976915895584163e-06, | |
| "loss": 0.0717, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 6.826556725009857e-06, | |
| "loss": 0.0966, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 6.672564912288353e-06, | |
| "loss": 0.0993, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 6.515180897355285e-06, | |
| "loss": 0.0734, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 6.354650416667365e-06, | |
| "loss": 0.0728, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 6.191224119514071e-06, | |
| "loss": 0.0789, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.027279604226350784, | |
| "eval_runtime": 42.5997, | |
| "eval_samples_per_second": 66.385, | |
| "eval_steps_per_second": 16.596, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 6.0251571766585436e-06, | |
| "loss": 0.0933, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 5.856708881918714e-06, | |
| "loss": 0.0718, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 5.6861422473108045e-06, | |
| "loss": 0.1392, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 5.513723592387277e-06, | |
| "loss": 0.081, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 5.339722128410471e-06, | |
| "loss": 0.1022, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 5.164409538011166e-06, | |
| "loss": 0.0992, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 4.988059550988415e-06, | |
| "loss": 0.0835, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 4.810947516912951e-06, | |
| "loss": 0.1079, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 4.633349975201519e-06, | |
| "loss": 0.0686, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 4.455544223333405e-06, | |
| "loss": 0.1131, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.014577045105397701, | |
| "eval_runtime": 41.7766, | |
| "eval_samples_per_second": 67.693, | |
| "eval_steps_per_second": 16.923, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 4.277807883883337e-06, | |
| "loss": 0.0524, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 4.100418471046794e-06, | |
| "loss": 0.0937, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 3.9236529573345295e-06, | |
| "loss": 0.0659, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 3.7477873411128757e-06, | |
| "loss": 0.0574, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.573096215665058e-06, | |
| "loss": 0.0778, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 3.399852340446378e-06, | |
| "loss": 0.0904, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 3.2283262152027056e-06, | |
| "loss": 0.085, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 3.0587856576172314e-06, | |
| "loss": 0.0587, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 2.89149538514495e-06, | |
| "loss": 0.1034, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 2.726716601687775e-06, | |
| "loss": 0.0998, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.013433472253382206, | |
| "eval_runtime": 43.6232, | |
| "eval_samples_per_second": 64.828, | |
| "eval_steps_per_second": 16.207, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 2.5647065897556595e-06, | |
| "loss": 0.0568, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 2.405718308750485e-06, | |
| "loss": 0.0656, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 2.250000000000001e-06, | |
| "loss": 0.082, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 2.097794799158444e-06, | |
| "loss": 0.0431, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 1.9493403565790804e-06, | |
| "loss": 0.1016, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 1.8048684662514e-06, | |
| "loss": 0.1922, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 1.6646047038823006e-06, | |
| "loss": 0.0799, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 1.5287680746864134e-06, | |
| "loss": 0.1125, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 1.3975706714354478e-06, | |
| "loss": 0.0672, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 1.2712173433005088e-06, | |
| "loss": 0.0686, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.007858279161155224, | |
| "eval_runtime": 42.3575, | |
| "eval_samples_per_second": 66.765, | |
| "eval_steps_per_second": 16.691, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 1.1499053760044425e-06, | |
| "loss": 0.0538, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 1.0338241837835812e-06, | |
| "loss": 0.0889, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "learning_rate": 9.231550136399099e-07, | |
| "loss": 0.1202, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 8.180706623453892e-07, | |
| "loss": 0.0966, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 7.187352066403012e-07, | |
| "loss": 0.1036, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 6.253037470469e-07, | |
| "loss": 0.0768, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 5.379221656983615e-07, | |
| "loss": 0.0485, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 4.567268985611408e-07, | |
| "loss": 0.0446, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 3.8184472240641696e-07, | |
| "loss": 0.0494, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 3.133925568632049e-07, | |
| "loss": 0.069, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_accuracy": 0.0, | |
| "eval_loss": 0.008401844650506973, | |
| "eval_runtime": 41.711, | |
| "eval_samples_per_second": 67.8, | |
| "eval_steps_per_second": 16.95, | |
| "step": 700 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 795, | |
| "num_train_epochs": 1, | |
| "save_steps": 100, | |
| "total_flos": 0.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |