| { | |
| "best_metric": 0.9, | |
| "best_model_checkpoint": "vit-base-patch16-224-MSC-ARMD/checkpoint-13", | |
| "epoch": 9.333333333333334, | |
| "eval_steps": 500, | |
| "global_step": 14, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.67, | |
| "eval_accuracy": 0.25, | |
| "eval_loss": 1.4426720142364502, | |
| "eval_runtime": 0.5294, | |
| "eval_samples_per_second": 37.781, | |
| "eval_steps_per_second": 1.889, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 1.157153844833374, | |
| "eval_runtime": 0.3926, | |
| "eval_samples_per_second": 50.939, | |
| "eval_steps_per_second": 2.547, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 1.086200475692749, | |
| "eval_runtime": 0.3295, | |
| "eval_samples_per_second": 60.69, | |
| "eval_steps_per_second": 3.034, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.85, | |
| "eval_loss": 0.8419659733772278, | |
| "eval_runtime": 0.3201, | |
| "eval_samples_per_second": 62.487, | |
| "eval_steps_per_second": 3.124, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "eval_accuracy": 0.85, | |
| "eval_loss": 0.7759726643562317, | |
| "eval_runtime": 0.2721, | |
| "eval_samples_per_second": 73.506, | |
| "eval_steps_per_second": 3.675, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.75, | |
| "eval_loss": 0.6918596029281616, | |
| "eval_runtime": 0.2959, | |
| "eval_samples_per_second": 67.599, | |
| "eval_steps_per_second": 3.38, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 1.0431, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "eval_accuracy": 0.8, | |
| "eval_loss": 0.658642053604126, | |
| "eval_runtime": 0.3192, | |
| "eval_samples_per_second": 62.656, | |
| "eval_steps_per_second": 3.133, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.85, | |
| "eval_loss": 0.5991185903549194, | |
| "eval_runtime": 0.3236, | |
| "eval_samples_per_second": 61.813, | |
| "eval_steps_per_second": 3.091, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 8.67, | |
| "eval_accuracy": 0.9, | |
| "eval_loss": 0.5850035548210144, | |
| "eval_runtime": 0.319, | |
| "eval_samples_per_second": 62.695, | |
| "eval_steps_per_second": 3.135, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "eval_accuracy": 0.9, | |
| "eval_loss": 0.5747030973434448, | |
| "eval_runtime": 0.2944, | |
| "eval_samples_per_second": 67.933, | |
| "eval_steps_per_second": 3.397, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "step": 14, | |
| "total_flos": 1.3049884970886758e+17, | |
| "train_loss": 0.9127475193568638, | |
| "train_runtime": 129.1234, | |
| "train_samples_per_second": 19.516, | |
| "train_steps_per_second": 0.108 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 14, | |
| "num_train_epochs": 14, | |
| "save_steps": 500, | |
| "total_flos": 1.3049884970886758e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |