{ "best_metric": 0.9402666666666667, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0140/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": 4.371304512023926, "learning_rate": 2.7135254915624213e-05, "loss": 1.1558, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.9277333333333333, "eval_loss": 0.2982861399650574, "eval_runtime": 7.8632, "eval_samples_per_second": 476.906, "eval_steps_per_second": 7.503, "step": 333 }, { "epoch": 2.0, "grad_norm": 1.3391156196594238, "learning_rate": 1.963525491562421e-05, "loss": 0.1709, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.9301333333333334, "eval_loss": 0.24306851625442505, "eval_runtime": 6.9205, "eval_samples_per_second": 541.868, "eval_steps_per_second": 8.525, "step": 666 }, { "epoch": 3.0, "grad_norm": 0.16830140352249146, "learning_rate": 1.036474508437579e-05, "loss": 0.0779, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.9349333333333333, "eval_loss": 0.22603733837604523, "eval_runtime": 6.7765, "eval_samples_per_second": 553.381, "eval_steps_per_second": 8.707, "step": 999 }, { "epoch": 4.0, "grad_norm": 0.5268003940582275, "learning_rate": 2.86474508437579e-06, "loss": 0.0404, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.9402666666666667, "eval_loss": 0.21325837075710297, "eval_runtime": 6.2533, "eval_samples_per_second": 599.679, "eval_steps_per_second": 9.435, "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 }