| { | |
| "best_metric": 0.8706666666666667, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0637/checkpoints/checkpoint-666", | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 666, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 2.2286744117736816, | |
| "learning_rate": 5e-05, | |
| "loss": 1.7043, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8242666666666667, | |
| "eval_loss": 0.7041821479797363, | |
| "eval_runtime": 5.8454, | |
| "eval_samples_per_second": 641.531, | |
| "eval_steps_per_second": 10.093, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 1.7922414541244507, | |
| "learning_rate": 5e-05, | |
| "loss": 0.4338, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8706666666666667, | |
| "eval_loss": 0.4786408245563507, | |
| "eval_runtime": 5.7758, | |
| "eval_samples_per_second": 649.256, | |
| "eval_steps_per_second": 10.215, | |
| "step": 666 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 666, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "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": 3.29482641245184e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |