|
{ |
|
"best_metric": 0.9208715596330275, |
|
"best_model_checkpoint": "electra-distilled-sst\\run-32\\checkpoint-1581", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 1581, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 47.12026596069336, |
|
"learning_rate": 4.2569562606597884e-05, |
|
"loss": 2.7545, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8990825688073395, |
|
"eval_loss": 1.4578064680099487, |
|
"eval_runtime": 1.4519, |
|
"eval_samples_per_second": 600.58, |
|
"eval_steps_per_second": 4.821, |
|
"step": 527 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 78.47111511230469, |
|
"learning_rate": 3.1942296148200405e-05, |
|
"loss": 1.283, |
|
"step": 1054 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9071100917431193, |
|
"eval_loss": 1.441101312637329, |
|
"eval_runtime": 1.4585, |
|
"eval_samples_per_second": 597.892, |
|
"eval_steps_per_second": 4.8, |
|
"step": 1054 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 58.518775939941406, |
|
"learning_rate": 2.1315029689802918e-05, |
|
"loss": 0.9314, |
|
"step": 1581 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9208715596330275, |
|
"eval_loss": 1.2692312002182007, |
|
"eval_runtime": 1.4446, |
|
"eval_samples_per_second": 603.643, |
|
"eval_steps_per_second": 4.846, |
|
"step": 1581 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2635, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 561038813831964.0, |
|
"train_batch_size": 128, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.2744072380603728, |
|
"learning_rate": 5.313633229198741e-05, |
|
"num_train_epochs": 5, |
|
"temperature": 16 |
|
} |
|
} |
|
|