| { | |
| "best_metric": 0.8421333333333333, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0946/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": 11.909194946289062, | |
| "learning_rate": 0.0001, | |
| "loss": 0.904, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8152, | |
| "eval_loss": 0.6641908288002014, | |
| "eval_runtime": 8.2573, | |
| "eval_samples_per_second": 454.146, | |
| "eval_steps_per_second": 7.145, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.11867735534906387, | |
| "learning_rate": 0.0001, | |
| "loss": 0.365, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8421333333333333, | |
| "eval_loss": 0.522146463394165, | |
| "eval_runtime": 6.04, | |
| "eval_samples_per_second": 620.861, | |
| "eval_steps_per_second": 9.768, | |
| "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 | |
| } | |