{ | |
"best_metric": 0.8876146788990825, | |
"best_model_checkpoint": "Tech-oriented/best_model_bert_uncasedbert-base-uncased-finetuned-sst2/run-8/checkpoint-421", | |
"epoch": 1.0, | |
"eval_steps": 500, | |
"global_step": 421, | |
"is_hyper_param_search": true, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 1.0, | |
"eval_accuracy": 0.8876146788990825, | |
"eval_loss": 0.2878369987010956, | |
"eval_runtime": 2.3568, | |
"eval_samples_per_second": 369.996, | |
"eval_steps_per_second": 23.337, | |
"step": 421 | |
} | |
], | |
"logging_steps": 4209, | |
"max_steps": 842, | |
"num_input_tokens_seen": 0, | |
"num_train_epochs": 2, | |
"save_steps": 500, | |
"total_flos": 0, | |
"train_batch_size": 16, | |
"trial_name": null, | |
"trial_params": { | |
"learning_rate": 1.3007555473187744e-05, | |
"num_train_epochs": 2, | |
"per_device_train_batch_size": 16, | |
"seed": 10, | |
"weight_decay": 0.3516798909755618 | |
} | |
} | |