{ "best_metric": 0.7722666666666667, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0977/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": 2.4338, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.5936, "eval_loss": 1.4117923974990845, "eval_runtime": 6.0777, "eval_samples_per_second": 617.006, "eval_steps_per_second": 9.708, "step": 333 }, { "epoch": 2.0, "grad_norm": 8.989188194274902, "learning_rate": 0.0003, "loss": 1.0542, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.7218666666666667, "eval_loss": 0.9551498889923096, "eval_runtime": 6.5515, "eval_samples_per_second": 572.388, "eval_steps_per_second": 9.006, "step": 666 }, { "epoch": 3.0, "grad_norm": 0.8406928181648254, "learning_rate": 0.0003, "loss": 0.6559, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.7272, "eval_loss": 0.9762102961540222, "eval_runtime": 6.2173, "eval_samples_per_second": 603.159, "eval_steps_per_second": 9.49, "step": 999 }, { "epoch": 4.0, "grad_norm": Infinity, "learning_rate": 0.0003, "loss": 0.47, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.7722666666666667, "eval_loss": 0.7986372113227844, "eval_runtime": 7.6734, "eval_samples_per_second": 488.703, "eval_steps_per_second": 7.689, "step": 1332 } ], "logging_steps": 500, "max_steps": 1998, "num_input_tokens_seen": 0, "num_train_epochs": 6, "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 }