{ | |
"best_metric": 0.954104254044338, | |
"best_model_checkpoint": "bert-base-uncased-finetuned-spam-real/run-1/checkpoint-418", | |
"epoch": 1.0, | |
"eval_steps": 500, | |
"global_step": 418, | |
"is_hyper_param_search": true, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 1.0, | |
"eval_accuracy": 0.954104254044338, | |
"eval_loss": 0.19407691061496735, | |
"eval_runtime": 591.9344, | |
"eval_samples_per_second": 28.196, | |
"eval_steps_per_second": 1.764, | |
"step": 418 | |
} | |
], | |
"logging_steps": 500, | |
"max_steps": 1254, | |
"num_input_tokens_seen": 0, | |
"num_train_epochs": 3, | |
"save_steps": 500, | |
"total_flos": 0, | |
"train_batch_size": 16, | |
"trial_name": null, | |
"trial_params": { | |
"learning_rate": 9.86697876767367e-05, | |
"num_train_epochs": 3, | |
"per_device_train_batch_size": 16, | |
"seed": 14 | |
} | |
} | |