| { | |
| "best_metric": 0.33828961849212646, | |
| "best_model_checkpoint": "google/vit-base-patch16-224-in21k_covid_19_ct_scans/checkpoint-55", | |
| "epoch": 15.0, | |
| "eval_steps": 500, | |
| "global_step": 825, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01818181818181818, | |
| "grad_norm": 3.793684244155884, | |
| "learning_rate": 0.00019975757575757576, | |
| "loss": 0.7218, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_AUC": 0.5, | |
| "eval_F1": 0.47540983606557374, | |
| "eval_Precision": 0.90625, | |
| "eval_Recall": 1.0, | |
| "eval_accuracy": 0.90625, | |
| "eval_loss": 0.33828961849212646, | |
| "eval_runtime": 4.7492, | |
| "eval_samples_per_second": 80.855, | |
| "eval_steps_per_second": 5.053, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_AUC": 0.5, | |
| "eval_F1": 0.47540983606557374, | |
| "eval_Precision": 0.90625, | |
| "eval_Recall": 1.0, | |
| "eval_accuracy": 0.90625, | |
| "eval_loss": 0.382261723279953, | |
| "eval_runtime": 4.831, | |
| "eval_samples_per_second": 79.486, | |
| "eval_steps_per_second": 4.968, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_AUC": 0.5, | |
| "eval_F1": 0.47540983606557374, | |
| "eval_Precision": 0.90625, | |
| "eval_Recall": 1.0, | |
| "eval_accuracy": 0.90625, | |
| "eval_loss": 0.3956604301929474, | |
| "eval_runtime": 4.8897, | |
| "eval_samples_per_second": 78.532, | |
| "eval_steps_per_second": 4.908, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_AUC": 0.5, | |
| "eval_F1": 0.47540983606557374, | |
| "eval_Precision": 0.90625, | |
| "eval_Recall": 1.0, | |
| "eval_accuracy": 0.90625, | |
| "eval_loss": 0.44851580262184143, | |
| "eval_runtime": 4.8632, | |
| "eval_samples_per_second": 78.96, | |
| "eval_steps_per_second": 4.935, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_AUC": 0.4942528735632184, | |
| "eval_F1": 0.4725274725274725, | |
| "eval_Precision": 0.9052631578947369, | |
| "eval_Recall": 0.9885057471264368, | |
| "eval_accuracy": 0.8958333333333334, | |
| "eval_loss": 0.4786018133163452, | |
| "eval_runtime": 4.8854, | |
| "eval_samples_per_second": 78.601, | |
| "eval_steps_per_second": 4.913, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.5316488146781921, | |
| "eval_runtime": 5.3191, | |
| "eval_samples_per_second": 72.193, | |
| "eval_steps_per_second": 4.512, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.553883969783783, | |
| "eval_runtime": 4.8592, | |
| "eval_samples_per_second": 79.026, | |
| "eval_steps_per_second": 4.939, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.5799620747566223, | |
| "eval_runtime": 4.7649, | |
| "eval_samples_per_second": 80.589, | |
| "eval_steps_per_second": 5.037, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.5976574420928955, | |
| "eval_runtime": 4.7034, | |
| "eval_samples_per_second": 81.644, | |
| "eval_steps_per_second": 5.103, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 9.090909090909092, | |
| "grad_norm": 0.018258079886436462, | |
| "learning_rate": 7.878787878787879e-05, | |
| "loss": 0.0987, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.6109693646430969, | |
| "eval_runtime": 4.7422, | |
| "eval_samples_per_second": 80.974, | |
| "eval_steps_per_second": 5.061, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.6211499571800232, | |
| "eval_runtime": 4.7723, | |
| "eval_samples_per_second": 80.464, | |
| "eval_steps_per_second": 5.029, | |
| "step": 605 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.6287771463394165, | |
| "eval_runtime": 4.9768, | |
| "eval_samples_per_second": 77.159, | |
| "eval_steps_per_second": 4.822, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.6341301798820496, | |
| "eval_runtime": 4.7422, | |
| "eval_samples_per_second": 80.974, | |
| "eval_steps_per_second": 5.061, | |
| "step": 715 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.6373991370201111, | |
| "eval_runtime": 4.8768, | |
| "eval_samples_per_second": 78.74, | |
| "eval_steps_per_second": 4.921, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_AUC": 0.49712643678160917, | |
| "eval_F1": 0.473972602739726, | |
| "eval_Precision": 0.9057591623036649, | |
| "eval_Recall": 0.9942528735632183, | |
| "eval_accuracy": 0.9010416666666666, | |
| "eval_loss": 0.6385161280632019, | |
| "eval_runtime": 4.6939, | |
| "eval_samples_per_second": 81.808, | |
| "eval_steps_per_second": 5.113, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "step": 825, | |
| "total_flos": 1.0112704644704256e+18, | |
| "train_loss": 0.06119063453240828, | |
| "train_runtime": 257.3401, | |
| "train_samples_per_second": 50.711, | |
| "train_steps_per_second": 3.206 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 825, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 15, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.0112704644704256e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |