|
{ |
|
"best_metric": 1.0977137088775635, |
|
"best_model_checkpoint": "hBERTv2_new_pretrain_48_emb_com_mnli/checkpoint-15340", |
|
"epoch": 10.0, |
|
"global_step": 30680, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3.9200000000000004e-05, |
|
"loss": 1.1059, |
|
"step": 3068 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.31818644931227713, |
|
"eval_loss": 1.103637456893921, |
|
"eval_runtime": 43.1654, |
|
"eval_samples_per_second": 227.381, |
|
"eval_steps_per_second": 1.784, |
|
"step": 3068 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 3.8400000000000005e-05, |
|
"loss": 1.1014, |
|
"step": 6136 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.3273560876209883, |
|
"eval_loss": 1.1026175022125244, |
|
"eval_runtime": 43.1828, |
|
"eval_samples_per_second": 227.289, |
|
"eval_steps_per_second": 1.783, |
|
"step": 6136 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 3.76e-05, |
|
"loss": 1.0997, |
|
"step": 9204 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.31818644931227713, |
|
"eval_loss": 1.1008087396621704, |
|
"eval_runtime": 43.0883, |
|
"eval_samples_per_second": 227.788, |
|
"eval_steps_per_second": 1.787, |
|
"step": 9204 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3.680000000000001e-05, |
|
"loss": 1.0982, |
|
"step": 12272 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.33112582781456956, |
|
"eval_loss": 1.0977925062179565, |
|
"eval_runtime": 43.0333, |
|
"eval_samples_per_second": 228.079, |
|
"eval_steps_per_second": 1.789, |
|
"step": 12272 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 3.6e-05, |
|
"loss": 1.0978, |
|
"step": 15340 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.3329597554763118, |
|
"eval_loss": 1.0977137088775635, |
|
"eval_runtime": 43.058, |
|
"eval_samples_per_second": 227.948, |
|
"eval_steps_per_second": 1.788, |
|
"step": 15340 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 3.52e-05, |
|
"loss": 1.0976, |
|
"step": 18408 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.3544574630667346, |
|
"eval_loss": 1.0984772443771362, |
|
"eval_runtime": 43.1911, |
|
"eval_samples_per_second": 227.246, |
|
"eval_steps_per_second": 1.783, |
|
"step": 18408 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 3.44e-05, |
|
"loss": 1.0987, |
|
"step": 21476 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.3182883341823739, |
|
"eval_loss": 1.0986559391021729, |
|
"eval_runtime": 42.9975, |
|
"eval_samples_per_second": 228.269, |
|
"eval_steps_per_second": 1.791, |
|
"step": 21476 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 3.3600000000000004e-05, |
|
"loss": 1.0987, |
|
"step": 24544 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.3544574630667346, |
|
"eval_loss": 1.098609447479248, |
|
"eval_runtime": 43.0102, |
|
"eval_samples_per_second": 228.202, |
|
"eval_steps_per_second": 1.79, |
|
"step": 24544 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 3.28e-05, |
|
"loss": 1.0986, |
|
"step": 27612 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.3544574630667346, |
|
"eval_loss": 1.0986100435256958, |
|
"eval_runtime": 43.1085, |
|
"eval_samples_per_second": 227.682, |
|
"eval_steps_per_second": 1.786, |
|
"step": 27612 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 3.2000000000000005e-05, |
|
"loss": 1.0987, |
|
"step": 30680 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.31818644931227713, |
|
"eval_loss": 1.0986064672470093, |
|
"eval_runtime": 43.0847, |
|
"eval_samples_per_second": 227.807, |
|
"eval_steps_per_second": 1.787, |
|
"step": 30680 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 30680, |
|
"total_flos": 5.752713556000768e+17, |
|
"train_loss": 1.0995322733534671, |
|
"train_runtime": 52543.2624, |
|
"train_samples_per_second": 373.694, |
|
"train_steps_per_second": 2.919 |
|
} |
|
], |
|
"max_steps": 153400, |
|
"num_train_epochs": 50, |
|
"total_flos": 5.752713556000768e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|