|
{ |
|
"best_metric": 1.3502187728881836, |
|
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_stsb_256/checkpoint-2518", |
|
"epoch": 6.0, |
|
"global_step": 15108, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.535, |
|
"step": 2518 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_combined_score": 0.1688901374764955, |
|
"eval_loss": 1.3502187728881836, |
|
"eval_pearson": 0.1594880381910939, |
|
"eval_runtime": 2.7246, |
|
"eval_samples_per_second": 550.531, |
|
"eval_spearmanr": 0.1782922367618971, |
|
"eval_steps_per_second": 4.404, |
|
"step": 2518 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.3149, |
|
"step": 5036 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_combined_score": 0.1556657918320208, |
|
"eval_loss": 1.4771482944488525, |
|
"eval_pearson": 0.15037668447419109, |
|
"eval_runtime": 2.7178, |
|
"eval_samples_per_second": 551.91, |
|
"eval_spearmanr": 0.16095489918985054, |
|
"eval_steps_per_second": 4.415, |
|
"step": 5036 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.2467, |
|
"step": 7554 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_combined_score": 0.163447899818954, |
|
"eval_loss": 1.5606096982955933, |
|
"eval_pearson": 0.16090805712166092, |
|
"eval_runtime": 2.7862, |
|
"eval_samples_per_second": 538.364, |
|
"eval_spearmanr": 0.16598774251624707, |
|
"eval_steps_per_second": 4.307, |
|
"step": 7554 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.1704, |
|
"step": 10072 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_combined_score": 0.17142373626247578, |
|
"eval_loss": 1.5334404706954956, |
|
"eval_pearson": 0.16623579741955485, |
|
"eval_runtime": 2.7219, |
|
"eval_samples_per_second": 551.087, |
|
"eval_spearmanr": 0.17661167510539671, |
|
"eval_steps_per_second": 4.409, |
|
"step": 10072 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.1257, |
|
"step": 12590 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_combined_score": 0.1747127018367471, |
|
"eval_loss": 1.4389137029647827, |
|
"eval_pearson": 0.17116423098994665, |
|
"eval_runtime": 2.7134, |
|
"eval_samples_per_second": 552.805, |
|
"eval_spearmanr": 0.17826117268354752, |
|
"eval_steps_per_second": 4.422, |
|
"step": 12590 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.0976, |
|
"step": 15108 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_combined_score": 0.1481536553679076, |
|
"eval_loss": 1.5826839208602905, |
|
"eval_pearson": 0.1437432963327039, |
|
"eval_runtime": 2.7241, |
|
"eval_samples_per_second": 550.637, |
|
"eval_spearmanr": 0.15256401440311126, |
|
"eval_steps_per_second": 4.405, |
|
"step": 15108 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"step": 15108, |
|
"total_flos": 5.092937537735885e+16, |
|
"train_loss": 0.24839666365062177, |
|
"train_runtime": 8288.774, |
|
"train_samples_per_second": 1943.876, |
|
"train_steps_per_second": 15.189 |
|
} |
|
], |
|
"max_steps": 125900, |
|
"num_train_epochs": 50, |
|
"total_flos": 5.092937537735885e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|