| { | |
| "best_metric": 0.5253333333333333, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0004/checkpoints/checkpoint-1998", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 1998, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 44.079341888427734, | |
| "learning_rate": 0.0002506006006006006, | |
| "loss": 3.1807, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.272, | |
| "eval_loss": 2.7126667499542236, | |
| "eval_runtime": 5.7594, | |
| "eval_samples_per_second": 651.115, | |
| "eval_steps_per_second": 10.244, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 57.76839828491211, | |
| "learning_rate": 0.00020060060060060058, | |
| "loss": 2.4839, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.3504, | |
| "eval_loss": 2.367837429046631, | |
| "eval_runtime": 5.964, | |
| "eval_samples_per_second": 628.771, | |
| "eval_steps_per_second": 9.893, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 36.21134567260742, | |
| "learning_rate": 0.00015060060060060059, | |
| "loss": 2.1762, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.4189333333333333, | |
| "eval_loss": 2.135026216506958, | |
| "eval_runtime": 6.1879, | |
| "eval_samples_per_second": 606.022, | |
| "eval_steps_per_second": 9.535, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 37.509727478027344, | |
| "learning_rate": 0.00010060060060060059, | |
| "loss": 1.9045, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.4592, | |
| "eval_loss": 1.9614495038986206, | |
| "eval_runtime": 5.9492, | |
| "eval_samples_per_second": 630.34, | |
| "eval_steps_per_second": 9.917, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 37.03412628173828, | |
| "learning_rate": 5.0600600600600595e-05, | |
| "loss": 1.6289, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.49306666666666665, | |
| "eval_loss": 1.8140467405319214, | |
| "eval_runtime": 5.8639, | |
| "eval_samples_per_second": 639.504, | |
| "eval_steps_per_second": 10.062, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 2.788090229034424, | |
| "learning_rate": 6.006006006006005e-07, | |
| "loss": 1.3446, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5253333333333333, | |
| "eval_loss": 1.7320013046264648, | |
| "eval_runtime": 6.2654, | |
| "eval_samples_per_second": 598.53, | |
| "eval_steps_per_second": 9.417, | |
| "step": 1998 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1998, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 6, | |
| "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": 9.88447923735552e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |