{ "best_metric": 0.8821333333333333, "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0653/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": 9e-05, "loss": 1.757, "step": 333 }, { "epoch": 1.0, "eval_accuracy": 0.8216, "eval_loss": 0.628304123878479, "eval_runtime": 4.058, "eval_samples_per_second": 924.094, "eval_steps_per_second": 14.539, "step": 333 }, { "epoch": 2.0, "grad_norm": Infinity, "learning_rate": 9e-05, "loss": 0.4632, "step": 666 }, { "epoch": 2.0, "eval_accuracy": 0.8496, "eval_loss": 0.4910394847393036, "eval_runtime": 4.0013, "eval_samples_per_second": 937.199, "eval_steps_per_second": 14.745, "step": 666 }, { "epoch": 3.0, "grad_norm": 4.267885684967041, "learning_rate": 9e-05, "loss": 0.2616, "step": 999 }, { "epoch": 3.0, "eval_accuracy": 0.8573333333333333, "eval_loss": 0.4930065870285034, "eval_runtime": 4.0273, "eval_samples_per_second": 931.135, "eval_steps_per_second": 14.65, "step": 999 }, { "epoch": 4.0, "grad_norm": 30.387842178344727, "learning_rate": 9e-05, "loss": 0.1841, "step": 1332 }, { "epoch": 4.0, "eval_accuracy": 0.8821333333333333, "eval_loss": 0.39944830536842346, "eval_runtime": 4.0413, "eval_samples_per_second": 927.909, "eval_steps_per_second": 14.599, "step": 1332 } ], "logging_steps": 500, "max_steps": 1998, "num_input_tokens_seen": 0, "num_train_epochs": 6, "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 }