{ "best_metric": 0.8490666666666666, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0670/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": 3e-05, "loss": 2.4573, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.7176, "eval_loss": 1.191417932510376, "eval_runtime": 3.9385, "eval_samples_per_second": 952.137, "eval_steps_per_second": 14.98, "step": 333 }, { "epoch": 2.0, "grad_norm": Infinity, "learning_rate": 3e-05, "loss": 0.8148, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.8133333333333334, "eval_loss": 0.6759256720542908, "eval_runtime": 3.9602, "eval_samples_per_second": 946.91, "eval_steps_per_second": 14.898, "step": 666 }, { "epoch": 3.0, "grad_norm": 10.80749225616455, "learning_rate": 3e-05, "loss": 0.4135, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.8344, "eval_loss": 0.5511858463287354, "eval_runtime": 3.9768, "eval_samples_per_second": 942.977, "eval_steps_per_second": 14.836, "step": 999 }, { "epoch": 4.0, "grad_norm": 1.73154616355896, "learning_rate": 3e-05, "loss": 0.2363, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.8490666666666666, "eval_loss": 0.5005912780761719, "eval_runtime": 3.9135, "eval_samples_per_second": 958.219, "eval_steps_per_second": 15.076, "step": 1332 } ], "logging_steps": 500, "max_steps": 1332, "num_input_tokens_seen": 0, "num_train_epochs": 4, "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": 6.58965282490368e+18, "train_batch_size": 64, "trial_name": null, "trial_params": null }