{ "best_metric": 0.43653333333333333, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0646/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": 0.0004271931404387096, "loss": 3.2745, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.2272, "eval_loss": 2.8847877979278564, "eval_runtime": 6.7988, "eval_samples_per_second": 551.572, "eval_steps_per_second": 8.678, "step": 333 }, { "epoch": 2.0, "grad_norm": Infinity, "learning_rate": 0.00025117927214825806, "loss": 2.6634, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.32106666666666667, "eval_loss": 2.4516994953155518, "eval_runtime": 7.0051, "eval_samples_per_second": 535.325, "eval_steps_per_second": 8.422, "step": 666 }, { "epoch": 3.0, "grad_norm": 15.548240661621094, "learning_rate": 7.405914276967749e-05, "loss": 2.194, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.4064, "eval_loss": 2.104811191558838, "eval_runtime": 6.1086, "eval_samples_per_second": 613.884, "eval_steps_per_second": 9.658, "step": 999 }, { "epoch": 4.0, "grad_norm": 18.830890655517578, "learning_rate": 2.7813810714871766e-09, "loss": 1.8056, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.43653333333333333, "eval_loss": 2.0054984092712402, "eval_runtime": 6.0101, "eval_samples_per_second": 623.945, "eval_steps_per_second": 9.817, "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 }