{ "best_metric": 0.8733333333333333, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0525/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": 0.0001, "loss": 1.8284, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.8034666666666667, "eval_loss": 0.747320830821991, "eval_runtime": 10.8665, "eval_samples_per_second": 345.098, "eval_steps_per_second": 5.43, "step": 333 }, { "epoch": 2.0, "grad_norm": 2.2682628631591797, "learning_rate": 0.0001, "loss": 0.5247, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.8496, "eval_loss": 0.5000113248825073, "eval_runtime": 10.8631, "eval_samples_per_second": 345.207, "eval_steps_per_second": 5.431, "step": 666 }, { "epoch": 3.0, "grad_norm": 1.0883593559265137, "learning_rate": 0.0001, "loss": 0.3045, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.8344, "eval_loss": 0.5335081219673157, "eval_runtime": 10.9401, "eval_samples_per_second": 342.777, "eval_steps_per_second": 5.393, "step": 999 }, { "epoch": 4.0, "grad_norm": 0.1617349535226822, "learning_rate": 0.0001, "loss": 0.2077, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.8733333333333333, "eval_loss": 0.42833206057548523, "eval_runtime": 10.8788, "eval_samples_per_second": 344.706, "eval_steps_per_second": 5.423, "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 }