{ "best_metric": 0.6507059545733579, "best_model_checkpoint": "BERTForDetectingDepression-Twitter2015/run-4/checkpoint-69", "epoch": 3.0, "eval_steps": 500, "global_step": 69, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.5979128299570289, "eval_loss": 0.678537905216217, "eval_runtime": 1.4893, "eval_samples_per_second": 1093.811, "eval_steps_per_second": 68.489, "step": 23 }, { "epoch": 2.0, "eval_accuracy": 0.6421117249846532, "eval_loss": 0.6587366461753845, "eval_runtime": 1.4751, "eval_samples_per_second": 1104.331, "eval_steps_per_second": 69.148, "step": 46 }, { "epoch": 3.0, "eval_accuracy": 0.6507059545733579, "eval_loss": 0.6499518752098083, "eval_runtime": 1.5227, "eval_samples_per_second": 1069.784, "eval_steps_per_second": 66.985, "step": 69 } ], "logging_steps": 500, "max_steps": 69, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 0, "train_batch_size": 64, "trial_name": null, "trial_params": { "learning_rate": 2.9236721941091785e-06, "num_train_epochs": 3, "per_device_train_batch_size": 64, "seed": 12 } }