| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 20.0, | |
| "global_step": 5600, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8955357074737549, | |
| "eval_loss": 0.33214062452316284, | |
| "eval_runtime": 7.5153, | |
| "eval_samples_per_second": 149.029, | |
| "eval_steps_per_second": 18.629, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 2.743006199096114e-05, | |
| "loss": 0.3501, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9142857193946838, | |
| "eval_loss": 0.29908323287963867, | |
| "eval_runtime": 7.7634, | |
| "eval_samples_per_second": 144.266, | |
| "eval_steps_per_second": 18.033, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9008928537368774, | |
| "eval_loss": 0.2781011164188385, | |
| "eval_runtime": 7.6341, | |
| "eval_samples_per_second": 146.71, | |
| "eval_steps_per_second": 18.339, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "learning_rate": 2.474084022714142e-05, | |
| "loss": 0.1794, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9107142686843872, | |
| "eval_loss": 0.37903639674186707, | |
| "eval_runtime": 7.6349, | |
| "eval_samples_per_second": 146.696, | |
| "eval_steps_per_second": 18.337, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9214285612106323, | |
| "eval_loss": 0.40712061524391174, | |
| "eval_runtime": 7.4748, | |
| "eval_samples_per_second": 149.837, | |
| "eval_steps_per_second": 18.73, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "learning_rate": 2.2051618463321703e-05, | |
| "loss": 0.0871, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9160714149475098, | |
| "eval_loss": 0.576979398727417, | |
| "eval_runtime": 7.7299, | |
| "eval_samples_per_second": 144.892, | |
| "eval_steps_per_second": 18.112, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9116071462631226, | |
| "eval_loss": 0.6520564556121826, | |
| "eval_runtime": 7.614, | |
| "eval_samples_per_second": 147.098, | |
| "eval_steps_per_second": 18.387, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 7.14, | |
| "learning_rate": 1.9362396699501985e-05, | |
| "loss": 0.0437, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9196428656578064, | |
| "eval_loss": 0.6204714179039001, | |
| "eval_runtime": 7.8377, | |
| "eval_samples_per_second": 142.899, | |
| "eval_steps_per_second": 17.862, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 8.93, | |
| "learning_rate": 1.6673174935682264e-05, | |
| "loss": 0.036, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.9169642925262451, | |
| "eval_loss": 0.5968001484870911, | |
| "eval_runtime": 7.7266, | |
| "eval_samples_per_second": 144.953, | |
| "eval_steps_per_second": 18.119, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.9214285612106323, | |
| "eval_loss": 0.6099338531494141, | |
| "eval_runtime": 7.5404, | |
| "eval_samples_per_second": 148.534, | |
| "eval_steps_per_second": 18.567, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 10.71, | |
| "learning_rate": 1.3983953171862545e-05, | |
| "loss": 0.0199, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.9169642925262451, | |
| "eval_loss": 0.6376703381538391, | |
| "eval_runtime": 7.6099, | |
| "eval_samples_per_second": 147.177, | |
| "eval_steps_per_second": 18.397, | |
| "step": 3080 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.9205357432365417, | |
| "eval_loss": 0.6757161021232605, | |
| "eval_runtime": 7.6257, | |
| "eval_samples_per_second": 146.872, | |
| "eval_steps_per_second": 18.359, | |
| "step": 3360 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 1.1294731408042823e-05, | |
| "loss": 0.0198, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.9205357432365417, | |
| "eval_loss": 0.6298871636390686, | |
| "eval_runtime": 7.5908, | |
| "eval_samples_per_second": 147.548, | |
| "eval_steps_per_second": 18.443, | |
| "step": 3640 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.9125000238418579, | |
| "eval_loss": 0.693723201751709, | |
| "eval_runtime": 7.7616, | |
| "eval_samples_per_second": 144.301, | |
| "eval_steps_per_second": 18.038, | |
| "step": 3920 | |
| }, | |
| { | |
| "epoch": 14.29, | |
| "learning_rate": 8.605509644223102e-06, | |
| "loss": 0.0119, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.9169642925262451, | |
| "eval_loss": 0.6261208653450012, | |
| "eval_runtime": 7.7494, | |
| "eval_samples_per_second": 144.528, | |
| "eval_steps_per_second": 18.066, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.9160714149475098, | |
| "eval_loss": 0.7174915671348572, | |
| "eval_runtime": 7.862, | |
| "eval_samples_per_second": 142.457, | |
| "eval_steps_per_second": 17.807, | |
| "step": 4480 | |
| }, | |
| { | |
| "epoch": 16.07, | |
| "learning_rate": 5.916287880403384e-06, | |
| "loss": 0.0065, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.9169642925262451, | |
| "eval_loss": 0.7007285952568054, | |
| "eval_runtime": 7.7124, | |
| "eval_samples_per_second": 145.221, | |
| "eval_steps_per_second": 18.153, | |
| "step": 4760 | |
| }, | |
| { | |
| "epoch": 17.86, | |
| "learning_rate": 3.2270661165836636e-06, | |
| "loss": 0.0069, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.918749988079071, | |
| "eval_loss": 0.7041569352149963, | |
| "eval_runtime": 7.8136, | |
| "eval_samples_per_second": 143.339, | |
| "eval_steps_per_second": 17.917, | |
| "step": 5040 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.9107142686843872, | |
| "eval_loss": 0.732833981513977, | |
| "eval_runtime": 7.5262, | |
| "eval_samples_per_second": 148.814, | |
| "eval_steps_per_second": 18.602, | |
| "step": 5320 | |
| }, | |
| { | |
| "epoch": 19.64, | |
| "learning_rate": 5.378443527639439e-07, | |
| "loss": 0.0034, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.9116071462631226, | |
| "eval_loss": 0.7286208271980286, | |
| "eval_runtime": 7.6221, | |
| "eval_samples_per_second": 146.941, | |
| "eval_steps_per_second": 18.368, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "step": 5600, | |
| "total_flos": 5893793336524800.0, | |
| "train_loss": 0.06829224105924368, | |
| "train_runtime": 4007.6255, | |
| "train_samples_per_second": 22.357, | |
| "train_steps_per_second": 1.397 | |
| } | |
| ], | |
| "max_steps": 5600, | |
| "num_train_epochs": 20, | |
| "total_flos": 5893793336524800.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |