{ "best_metric": 0.9194666666666667, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0219/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": 2.3247032165527344, "learning_rate": 0.000225, "loss": 0.6287, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.86, "eval_loss": 0.4464385509490967, "eval_runtime": 6.21, "eval_samples_per_second": 603.868, "eval_steps_per_second": 9.501, "step": 333 }, { "epoch": 2.0, "grad_norm": 0.1473802775144577, "learning_rate": 0.00015, "loss": 0.2476, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.8970666666666667, "eval_loss": 0.3367463946342468, "eval_runtime": 5.8716, "eval_samples_per_second": 638.668, "eval_steps_per_second": 10.048, "step": 666 }, { "epoch": 3.0, "grad_norm": 2.9234864711761475, "learning_rate": 7.5e-05, "loss": 0.1135, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.9058666666666667, "eval_loss": 0.3118283152580261, "eval_runtime": 7.0304, "eval_samples_per_second": 533.394, "eval_steps_per_second": 8.392, "step": 999 }, { "epoch": 4.0, "grad_norm": 0.004232540261000395, "learning_rate": 0.0, "loss": 0.0352, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.9194666666666667, "eval_loss": 0.2765258848667145, "eval_runtime": 5.7916, "eval_samples_per_second": 647.485, "eval_steps_per_second": 10.187, "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 }