{ "best_metric": 0.9325333333333333, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0966/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": 0.00025631588426322575, "loss": 0.6345, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.8712, "eval_loss": 0.4095349907875061, "eval_runtime": 10.1515, "eval_samples_per_second": 369.404, "eval_steps_per_second": 5.812, "step": 333 }, { "epoch": 2.0, "grad_norm": 0.1485203206539154, "learning_rate": 0.00015035378262848306, "loss": 0.2349, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.8978666666666667, "eval_loss": 0.34396710991859436, "eval_runtime": 10.4835, "eval_samples_per_second": 357.705, "eval_steps_per_second": 5.628, "step": 666 }, { "epoch": 3.0, "grad_norm": 0.02098308503627777, "learning_rate": 4.4184439928107014e-05, "loss": 0.0691, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.9250666666666667, "eval_loss": 0.27875030040740967, "eval_runtime": 10.3104, "eval_samples_per_second": 363.709, "eval_steps_per_second": 5.722, "step": 999 }, { "epoch": 4.0, "grad_norm": 0.08937115222215652, "learning_rate": 4.172077409214658e-10, "loss": 0.0136, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.9325333333333333, "eval_loss": 0.2623514235019684, "eval_runtime": 11.0695, "eval_samples_per_second": 338.767, "eval_steps_per_second": 5.33, "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 }