{ "best_metric": 0.7608, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0516/checkpoints/checkpoint-1332", "epoch": 4.0, "eval_steps": 500, "global_step": 1332, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": Infinity, "learning_rate": 0.0003, "loss": 2.5847, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.5466666666666666, "eval_loss": 1.5651346445083618, "eval_runtime": 7.1528, "eval_samples_per_second": 524.27, "eval_steps_per_second": 8.249, "step": 333 }, { "epoch": 2.0, "grad_norm": Infinity, "learning_rate": 0.0003, "loss": 1.1547, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.6616, "eval_loss": 1.1484880447387695, "eval_runtime": 7.3834, "eval_samples_per_second": 507.899, "eval_steps_per_second": 7.991, "step": 666 }, { "epoch": 3.0, "grad_norm": 5.810239791870117, "learning_rate": 0.0003, "loss": 0.7137, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.7277333333333333, "eval_loss": 0.8997098207473755, "eval_runtime": 6.9445, "eval_samples_per_second": 539.998, "eval_steps_per_second": 8.496, "step": 999 }, { "epoch": 4.0, "grad_norm": Infinity, "learning_rate": 0.0003, "loss": 0.4929, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.7608, "eval_loss": 0.808193027973175, "eval_runtime": 7.5265, "eval_samples_per_second": 498.239, "eval_steps_per_second": 7.839, "step": 1332 } ], "logging_steps": 500, "max_steps": 1665, "num_input_tokens_seen": 0, "num_train_epochs": 5, "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": 6.58965282490368e+18, "train_batch_size": 64, "trial_name": null, "trial_params": null }