| { | |
| "best_metric": 0.9842906234658811, | |
| "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-skullStrippded_04/checkpoint-123", | |
| "epoch": 9.75609756097561, | |
| "global_step": 200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 6.25e-05, | |
| "loss": 1.2662, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8370152184585175, | |
| "eval_f1_score": 0.8309274634035486, | |
| "eval_loss": 0.44239601492881775, | |
| "eval_precision": 0.8463813017583761, | |
| "eval_runtime": 208.875, | |
| "eval_samples_per_second": 9.752, | |
| "eval_steps_per_second": 0.077, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 0.0001, | |
| "loss": 0.3778, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.9062346588119784, | |
| "eval_f1_score": 0.9066525088672521, | |
| "eval_loss": 0.2700486481189728, | |
| "eval_precision": 0.9071937892005743, | |
| "eval_runtime": 204.4765, | |
| "eval_samples_per_second": 9.962, | |
| "eval_steps_per_second": 0.103, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 9.444444444444444e-05, | |
| "loss": 0.2951, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 8.888888888888889e-05, | |
| "loss": 0.2377, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9229258713794797, | |
| "eval_f1_score": 0.9233847000973788, | |
| "eval_loss": 0.20353713631629944, | |
| "eval_precision": 0.9268537243090427, | |
| "eval_runtime": 208.169, | |
| "eval_samples_per_second": 9.785, | |
| "eval_steps_per_second": 0.101, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 8.333333333333334e-05, | |
| "loss": 0.1676, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 7.777777777777778e-05, | |
| "loss": 0.1201, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "eval_accuracy": 0.9464899361806578, | |
| "eval_f1_score": 0.9466624955018323, | |
| "eval_loss": 0.13448551297187805, | |
| "eval_precision": 0.9512180953289231, | |
| "eval_runtime": 206.9703, | |
| "eval_samples_per_second": 9.842, | |
| "eval_steps_per_second": 0.101, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 7.222222222222222e-05, | |
| "loss": 0.1025, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "learning_rate": 6.666666666666667e-05, | |
| "loss": 0.0774, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9612174766813942, | |
| "eval_f1_score": 0.9618098339374384, | |
| "eval_loss": 0.1229424849152565, | |
| "eval_precision": 0.9643105703851083, | |
| "eval_runtime": 205.1391, | |
| "eval_samples_per_second": 9.93, | |
| "eval_steps_per_second": 0.102, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 4.39, | |
| "learning_rate": 6.111111111111112e-05, | |
| "loss": 0.058, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 4.88, | |
| "learning_rate": 5.555555555555556e-05, | |
| "loss": 0.0495, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 4.98, | |
| "eval_accuracy": 0.9813451153657339, | |
| "eval_f1_score": 0.9815016901025415, | |
| "eval_loss": 0.05617663636803627, | |
| "eval_precision": 0.9816047800258326, | |
| "eval_runtime": 201.6332, | |
| "eval_samples_per_second": 10.103, | |
| "eval_steps_per_second": 0.104, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 5.37, | |
| "learning_rate": 5e-05, | |
| "loss": 0.035, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 5.85, | |
| "learning_rate": 4.4444444444444447e-05, | |
| "loss": 0.0358, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9842906234658811, | |
| "eval_f1_score": 0.9844072801091768, | |
| "eval_loss": 0.04700547456741333, | |
| "eval_precision": 0.9845888529063952, | |
| "eval_runtime": 201.9642, | |
| "eval_samples_per_second": 10.086, | |
| "eval_steps_per_second": 0.104, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "learning_rate": 3.888888888888889e-05, | |
| "loss": 0.0301, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.0228, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 6.98, | |
| "eval_accuracy": 0.9833087874324987, | |
| "eval_f1_score": 0.9834387946272402, | |
| "eval_loss": 0.04467308893799782, | |
| "eval_precision": 0.9836051007366963, | |
| "eval_runtime": 201.6017, | |
| "eval_samples_per_second": 10.104, | |
| "eval_steps_per_second": 0.104, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 7.32, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.021, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "learning_rate": 2.2222222222222223e-05, | |
| "loss": 0.0181, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9828178694158075, | |
| "eval_f1_score": 0.982990812967336, | |
| "eval_loss": 0.04651310294866562, | |
| "eval_precision": 0.9830987734058751, | |
| "eval_runtime": 200.6389, | |
| "eval_samples_per_second": 10.153, | |
| "eval_steps_per_second": 0.105, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 8.29, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 0.0128, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 8.78, | |
| "learning_rate": 1.1111111111111112e-05, | |
| "loss": 0.0132, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 8.98, | |
| "eval_accuracy": 0.9833087874324987, | |
| "eval_f1_score": 0.9834792106943269, | |
| "eval_loss": 0.043627530336380005, | |
| "eval_precision": 0.9835721710721711, | |
| "eval_runtime": 197.7113, | |
| "eval_samples_per_second": 10.303, | |
| "eval_steps_per_second": 0.106, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 9.27, | |
| "learning_rate": 5.555555555555556e-06, | |
| "loss": 0.0097, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 9.76, | |
| "learning_rate": 0.0, | |
| "loss": 0.0126, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 9.76, | |
| "eval_accuracy": 0.9837997054491899, | |
| "eval_f1_score": 0.983950241371011, | |
| "eval_loss": 0.04606052488088608, | |
| "eval_precision": 0.9840362340362341, | |
| "eval_runtime": 197.1193, | |
| "eval_samples_per_second": 10.334, | |
| "eval_steps_per_second": 0.107, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 9.76, | |
| "step": 200, | |
| "total_flos": 6.366510302768824e+18, | |
| "train_loss": 0.0735103191435337, | |
| "train_runtime": 27763.2532, | |
| "train_samples_per_second": 2.934, | |
| "train_steps_per_second": 0.007 | |
| } | |
| ], | |
| "max_steps": 200, | |
| "num_train_epochs": 10, | |
| "total_flos": 6.366510302768824e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |