|
{ |
|
"best_metric": 0.3367711412058402, |
|
"best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-1/checkpoint-135", |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 135, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.6137323379516602, |
|
"eval_matthews_correlation": 0.0, |
|
"eval_runtime": 0.4985, |
|
"eval_samples_per_second": 2092.402, |
|
"eval_steps_per_second": 132.405, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 0.5712264180183411, |
|
"eval_matthews_correlation": 0.20590544441185202, |
|
"eval_runtime": 0.5232, |
|
"eval_samples_per_second": 1993.581, |
|
"eval_steps_per_second": 126.152, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 0.5899873375892639, |
|
"eval_matthews_correlation": 0.2957275464729565, |
|
"eval_runtime": 0.6455, |
|
"eval_samples_per_second": 1615.69, |
|
"eval_steps_per_second": 102.239, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.6281552314758301, |
|
"eval_matthews_correlation": 0.3259325330443582, |
|
"eval_runtime": 0.7017, |
|
"eval_samples_per_second": 1486.423, |
|
"eval_steps_per_second": 94.059, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 0.6593989133834839, |
|
"eval_matthews_correlation": 0.3367711412058402, |
|
"eval_runtime": 0.6019, |
|
"eval_samples_per_second": 1732.92, |
|
"eval_steps_per_second": 109.657, |
|
"step": 135 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 135, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 3.5363396216788776e-05, |
|
"num_train_epochs": 5, |
|
"per_device_train_batch_size": 32, |
|
"seed": 2 |
|
} |
|
} |
|
|