|
{ |
|
"best_metric": 0.9963201471941122, |
|
"best_model_checkpoint": "data/train-test/bert-base-output//model/checkpoint-1284", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1284, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.78, |
|
"grad_norm": 0.0749111995100975, |
|
"learning_rate": 1.221183800623053e-05, |
|
"loss": 0.0374, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": null, |
|
"eval_f1": 0.9917355371900826, |
|
"eval_loss": 0.008172398433089256, |
|
"eval_precision": 0.9899175068744271, |
|
"eval_recall": 0.9935602575896965, |
|
"eval_runtime": 1.4927, |
|
"eval_samples_per_second": 649.834, |
|
"eval_steps_per_second": 20.768, |
|
"step": 642 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"grad_norm": 0.17515258491039276, |
|
"learning_rate": 4.42367601246106e-06, |
|
"loss": 0.0047, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": null, |
|
"eval_f1": 0.9954044117647058, |
|
"eval_loss": 0.0051086777821183205, |
|
"eval_precision": 0.9944903581267218, |
|
"eval_recall": 0.9963201471941122, |
|
"eval_runtime": 1.4819, |
|
"eval_samples_per_second": 654.581, |
|
"eval_steps_per_second": 20.92, |
|
"step": 1284 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1284, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 500, |
|
"total_flos": 1114678566004932.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|