{ "best_metric": 0.9394666666666667, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0906/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": 0.46734854578971863, "learning_rate": 9e-05, "loss": 0.6177, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.9266666666666666, "eval_loss": 0.25657185912132263, "eval_runtime": 5.8142, "eval_samples_per_second": 644.978, "eval_steps_per_second": 10.148, "step": 333 }, { "epoch": 2.0, "grad_norm": 0.14189523458480835, "learning_rate": 9e-05, "loss": 0.1185, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.9384, "eval_loss": 0.2284454107284546, "eval_runtime": 5.3695, "eval_samples_per_second": 698.39, "eval_steps_per_second": 10.988, "step": 666 }, { "epoch": 3.0, "grad_norm": 0.3250787556171417, "learning_rate": 9e-05, "loss": 0.0632, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.9328, "eval_loss": 0.2597508430480957, "eval_runtime": 5.4314, "eval_samples_per_second": 690.429, "eval_steps_per_second": 10.863, "step": 999 }, { "epoch": 4.0, "grad_norm": 0.17168904840946198, "learning_rate": 9e-05, "loss": 0.0458, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.9394666666666667, "eval_loss": 0.25676777958869934, "eval_runtime": 5.438, "eval_samples_per_second": 689.588, "eval_steps_per_second": 10.85, "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 }