{ "best_metric": 0.8506666666666667, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0111/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": 0.7521460056304932, "learning_rate": 0.0001, "loss": 0.9081, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.8330666666666666, "eval_loss": 0.552603542804718, "eval_runtime": 11.0144, "eval_samples_per_second": 340.463, "eval_steps_per_second": 5.357, "step": 333 }, { "epoch": 2.0, "grad_norm": 3.19502592086792, "learning_rate": 0.0001, "loss": 0.3926, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.8224, "eval_loss": 0.6180618405342102, "eval_runtime": 11.0588, "eval_samples_per_second": 339.096, "eval_steps_per_second": 5.335, "step": 666 }, { "epoch": 3.0, "grad_norm": 13.912675857543945, "learning_rate": 0.0001, "loss": 0.264, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.8421333333333333, "eval_loss": 0.5677030086517334, "eval_runtime": 11.5092, "eval_samples_per_second": 325.827, "eval_steps_per_second": 5.126, "step": 999 }, { "epoch": 4.0, "grad_norm": Infinity, "learning_rate": 0.0001, "loss": 0.217, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.8506666666666667, "eval_loss": 0.5840206146240234, "eval_runtime": 11.1178, "eval_samples_per_second": 337.297, "eval_steps_per_second": 5.307, "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 }