{ "best_metric": 0.9381333333333334, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0724/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": 3.6546056270599365, "learning_rate": 7e-05, "loss": 0.6816, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.924, "eval_loss": 0.2558077573776245, "eval_runtime": 11.9466, "eval_samples_per_second": 313.896, "eval_steps_per_second": 4.939, "step": 333 }, { "epoch": 2.0, "grad_norm": 0.10156994313001633, "learning_rate": 7e-05, "loss": 0.125, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.9277333333333333, "eval_loss": 0.23121190071105957, "eval_runtime": 11.8494, "eval_samples_per_second": 316.473, "eval_steps_per_second": 4.979, "step": 666 }, { "epoch": 3.0, "grad_norm": 2.0732197761535645, "learning_rate": 7e-05, "loss": 0.0554, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.928, "eval_loss": 0.28154876828193665, "eval_runtime": 11.7714, "eval_samples_per_second": 318.568, "eval_steps_per_second": 5.012, "step": 999 }, { "epoch": 4.0, "grad_norm": 0.03272829204797745, "learning_rate": 7e-05, "loss": 0.0324, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.9381333333333334, "eval_loss": 0.25631949305534363, "eval_runtime": 11.9523, "eval_samples_per_second": 313.747, "eval_steps_per_second": 4.936, "step": 1332 } ], "logging_steps": 500, "max_steps": 2664, "num_input_tokens_seen": 0, "num_train_epochs": 8, "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 }