| { | |
| "best_metric": 0.9410666666666667, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0631/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": 0.6359642744064331, | |
| "learning_rate": 8e-05, | |
| "loss": 0.6235, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9178666666666667, | |
| "eval_loss": 0.2713891565799713, | |
| "eval_runtime": 4.006, | |
| "eval_samples_per_second": 936.093, | |
| "eval_steps_per_second": 14.728, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.07249192893505096, | |
| "learning_rate": 7.000000000000001e-05, | |
| "loss": 0.138, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9218666666666666, | |
| "eval_loss": 0.2614455223083496, | |
| "eval_runtime": 3.9983, | |
| "eval_samples_per_second": 937.898, | |
| "eval_steps_per_second": 14.756, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.035884030163288116, | |
| "learning_rate": 6e-05, | |
| "loss": 0.0636, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9269333333333334, | |
| "eval_loss": 0.2612350881099701, | |
| "eval_runtime": 3.983, | |
| "eval_samples_per_second": 941.503, | |
| "eval_steps_per_second": 14.813, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.039729077368974686, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0252, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9269333333333334, | |
| "eval_loss": 0.2917039096355438, | |
| "eval_runtime": 3.9646, | |
| "eval_samples_per_second": 945.865, | |
| "eval_steps_per_second": 14.882, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.024591322988271713, | |
| "learning_rate": 4e-05, | |
| "loss": 0.0104, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9341333333333334, | |
| "eval_loss": 0.2599940001964569, | |
| "eval_runtime": 3.9789, | |
| "eval_samples_per_second": 942.465, | |
| "eval_steps_per_second": 14.828, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.07780799269676208, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0038, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9410666666666667, | |
| "eval_loss": 0.2666877508163452, | |
| "eval_runtime": 3.9931, | |
| "eval_samples_per_second": 939.124, | |
| "eval_steps_per_second": 14.776, | |
| "step": 1998 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2997, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 9.88447923735552e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |