| { |
| "best_metric": 0.9424, |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0478/checkpoints/checkpoint-999", |
| "epoch": 3.0, |
| "eval_steps": 500, |
| "global_step": 999, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 0.6568130254745483, |
| "learning_rate": 7.500000000000001e-05, |
| "loss": 0.6558, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.9202666666666667, |
| "eval_loss": 0.2776768207550049, |
| "eval_runtime": 6.2212, |
| "eval_samples_per_second": 602.778, |
| "eval_steps_per_second": 9.484, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 1.9522514343261719, |
| "learning_rate": 2.5136294516063797e-05, |
| "loss": 0.1352, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.9362666666666667, |
| "eval_loss": 0.20813514292240143, |
| "eval_runtime": 6.4152, |
| "eval_samples_per_second": 584.546, |
| "eval_steps_per_second": 9.197, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.38482269644737244, |
| "learning_rate": 2.472341277037771e-10, |
| "loss": 0.0391, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.9424, |
| "eval_loss": 0.19482260942459106, |
| "eval_runtime": 6.1483, |
| "eval_samples_per_second": 609.928, |
| "eval_steps_per_second": 9.596, |
| "step": 999 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 999, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "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": 4.94223961867776e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|