| { | |
| "best_metric": 0.7647058823529411, | |
| "best_model_checkpoint": "resnet-50-drfx-CT-classifier/checkpoint-8", | |
| "epoch": 10.0, | |
| "global_step": 40, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6470588235294118, | |
| "eval_loss": 0.6770352125167847, | |
| "eval_runtime": 0.1754, | |
| "eval_samples_per_second": 96.945, | |
| "eval_steps_per_second": 28.513, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7647058823529411, | |
| "eval_loss": 0.6812685132026672, | |
| "eval_runtime": 0.2935, | |
| "eval_samples_per_second": 57.928, | |
| "eval_steps_per_second": 17.038, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 0.0, | |
| "loss": 0.6847, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_loss": 0.6776650547981262, | |
| "eval_runtime": 0.1488, | |
| "eval_samples_per_second": 114.24, | |
| "eval_steps_per_second": 33.6, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_loss": 0.6818965673446655, | |
| "eval_runtime": 0.1408, | |
| "eval_samples_per_second": 120.753, | |
| "eval_steps_per_second": 35.516, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.6886, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6470588235294118, | |
| "eval_loss": 0.6841826438903809, | |
| "eval_runtime": 0.1366, | |
| "eval_samples_per_second": 124.436, | |
| "eval_steps_per_second": 36.599, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_loss": 0.6805968284606934, | |
| "eval_runtime": 0.1316, | |
| "eval_samples_per_second": 129.169, | |
| "eval_steps_per_second": 37.991, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_loss": 0.6765115261077881, | |
| "eval_runtime": 0.1404, | |
| "eval_samples_per_second": 121.085, | |
| "eval_steps_per_second": 35.613, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 0.0, | |
| "loss": 0.6865, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7647058823529411, | |
| "eval_loss": 0.6807464361190796, | |
| "eval_runtime": 0.1681, | |
| "eval_samples_per_second": 101.146, | |
| "eval_steps_per_second": 29.749, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6470588235294118, | |
| "eval_loss": 0.6821699738502502, | |
| "eval_runtime": 0.1401, | |
| "eval_samples_per_second": 121.339, | |
| "eval_steps_per_second": 35.688, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.6848, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.5882352941176471, | |
| "eval_loss": 0.6832408905029297, | |
| "eval_runtime": 0.1763, | |
| "eval_samples_per_second": 96.411, | |
| "eval_steps_per_second": 28.356, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 40, | |
| "total_flos": 1.35906581938176e+16, | |
| "train_loss": 0.6861676573753357, | |
| "train_runtime": 44.1208, | |
| "train_samples_per_second": 14.506, | |
| "train_steps_per_second": 0.907 | |
| } | |
| ], | |
| "max_steps": 40, | |
| "num_train_epochs": 10, | |
| "total_flos": 1.35906581938176e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |