|
{ |
|
"best_metric": 2.3024191856384277, |
|
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_stsb/checkpoint-45", |
|
"epoch": 6.0, |
|
"global_step": 270, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 4.906666666666667e-05, |
|
"loss": 4.0455, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_combined_score": 0.07431917071856006, |
|
"eval_loss": 2.3024191856384277, |
|
"eval_pearson": 0.06713111124655088, |
|
"eval_runtime": 2.4381, |
|
"eval_samples_per_second": 615.238, |
|
"eval_spearmanr": 0.08150723019056925, |
|
"eval_steps_per_second": 4.922, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.806666666666667e-05, |
|
"loss": 2.1712, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_combined_score": 0.06681067529441857, |
|
"eval_loss": 2.6643781661987305, |
|
"eval_pearson": 0.0611865012551173, |
|
"eval_runtime": 2.4348, |
|
"eval_samples_per_second": 616.068, |
|
"eval_spearmanr": 0.07243484933371984, |
|
"eval_steps_per_second": 4.929, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.706666666666667e-05, |
|
"loss": 2.0637, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_combined_score": 0.06251030424678386, |
|
"eval_loss": 2.3624558448791504, |
|
"eval_pearson": 0.058165468295460696, |
|
"eval_runtime": 2.4296, |
|
"eval_samples_per_second": 617.389, |
|
"eval_spearmanr": 0.06685514019810702, |
|
"eval_steps_per_second": 4.939, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.606666666666667e-05, |
|
"loss": 1.996, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_combined_score": 0.07203733674672383, |
|
"eval_loss": 2.8670907020568848, |
|
"eval_pearson": 0.0712976536645173, |
|
"eval_runtime": 2.4406, |
|
"eval_samples_per_second": 614.594, |
|
"eval_spearmanr": 0.07277701982893034, |
|
"eval_steps_per_second": 4.917, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.5066666666666667e-05, |
|
"loss": 1.908, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_combined_score": 0.09261579480394588, |
|
"eval_loss": 2.662240982055664, |
|
"eval_pearson": 0.09544442363952416, |
|
"eval_runtime": 2.4348, |
|
"eval_samples_per_second": 616.07, |
|
"eval_spearmanr": 0.08978716596836762, |
|
"eval_steps_per_second": 4.929, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 4.406666666666667e-05, |
|
"loss": 1.7068, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_combined_score": 0.2001877685151721, |
|
"eval_loss": 2.388475179672241, |
|
"eval_pearson": 0.19980969966905146, |
|
"eval_runtime": 2.4335, |
|
"eval_samples_per_second": 616.4, |
|
"eval_spearmanr": 0.20056583736129271, |
|
"eval_steps_per_second": 4.931, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"step": 270, |
|
"total_flos": 1081506722217984.0, |
|
"train_loss": 2.3151992232711227, |
|
"train_runtime": 277.2499, |
|
"train_samples_per_second": 1036.79, |
|
"train_steps_per_second": 8.115 |
|
} |
|
], |
|
"max_steps": 2250, |
|
"num_train_epochs": 50, |
|
"total_flos": 1081506722217984.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|