{ "best_metric": 0.9162844036697247, "best_model_checkpoint": "bert-base-uncased-finetuned-sst2/run-5/checkpoint-844", "epoch": 4.0, "eval_steps": 500, "global_step": 844, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.9002293577981652, "eval_loss": 0.24879497289657593, "eval_runtime": 2.3485, "eval_samples_per_second": 371.303, "eval_steps_per_second": 23.419, "step": 211 }, { "epoch": 2.0, "eval_accuracy": 0.9059633027522935, "eval_loss": 0.2516523599624634, "eval_runtime": 2.3894, "eval_samples_per_second": 364.945, "eval_steps_per_second": 23.018, "step": 422 }, { "epoch": 2.37, "grad_norm": 0.7729095220565796, "learning_rate": 2.651478911079213e-05, "loss": 0.2165, "step": 500 }, { "epoch": 3.0, "eval_accuracy": 0.9139908256880734, "eval_loss": 0.3265123963356018, "eval_runtime": 2.3971, "eval_samples_per_second": 363.775, "eval_steps_per_second": 22.944, "step": 633 }, { "epoch": 4.0, "eval_accuracy": 0.9162844036697247, "eval_loss": 0.3921748995780945, "eval_runtime": 2.3998, "eval_samples_per_second": 363.361, "eval_steps_per_second": 22.918, "step": 844 } ], "logging_steps": 500, "max_steps": 844, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 500, "total_flos": 335486123357640.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "learning_rate": 6.50537267718272e-05, "num_train_epochs": 4, "per_device_train_batch_size": 32, "seed": 2 } }