|
{ |
|
"best_metric": 2.2717580795288086, |
|
"best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_stsb_128/checkpoint-360", |
|
"epoch": 13.0, |
|
"global_step": 585, |
|
"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": 5.1866, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_combined_score": -0.03419951535811661, |
|
"eval_loss": 2.516068458557129, |
|
"eval_pearson": -0.03551705055328359, |
|
"eval_runtime": 3.3337, |
|
"eval_samples_per_second": 449.945, |
|
"eval_spearmanr": -0.03288198016294964, |
|
"eval_steps_per_second": 3.6, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.8e-05, |
|
"loss": 2.1786, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_combined_score": 0.04006226088701736, |
|
"eval_loss": 2.3526787757873535, |
|
"eval_pearson": 0.040667683121476145, |
|
"eval_runtime": 3.332, |
|
"eval_samples_per_second": 450.186, |
|
"eval_spearmanr": 0.03945683865255857, |
|
"eval_steps_per_second": 3.601, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.7e-05, |
|
"loss": 2.1136, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_combined_score": 0.054871119033915686, |
|
"eval_loss": 2.3100574016571045, |
|
"eval_pearson": 0.05425082240043679, |
|
"eval_runtime": 3.3316, |
|
"eval_samples_per_second": 450.233, |
|
"eval_spearmanr": 0.05549141566739457, |
|
"eval_steps_per_second": 3.602, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 2.1, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_combined_score": 0.0640228286317318, |
|
"eval_loss": 2.4468700885772705, |
|
"eval_pearson": 0.062403904668015854, |
|
"eval_runtime": 3.3312, |
|
"eval_samples_per_second": 450.285, |
|
"eval_spearmanr": 0.06564175259544773, |
|
"eval_steps_per_second": 3.602, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.5e-05, |
|
"loss": 1.9564, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_combined_score": 0.08159900576887284, |
|
"eval_loss": 2.864647388458252, |
|
"eval_pearson": 0.08149726024270469, |
|
"eval_runtime": 3.3276, |
|
"eval_samples_per_second": 450.778, |
|
"eval_spearmanr": 0.081700751295041, |
|
"eval_steps_per_second": 3.606, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 1.8611, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_combined_score": 0.10714300129913198, |
|
"eval_loss": 2.5597310066223145, |
|
"eval_pearson": 0.10886761855371686, |
|
"eval_runtime": 3.33, |
|
"eval_samples_per_second": 450.453, |
|
"eval_spearmanr": 0.10541838404454709, |
|
"eval_steps_per_second": 3.604, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 4.3e-05, |
|
"loss": 1.6702, |
|
"step": 315 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_combined_score": 0.16545786652824848, |
|
"eval_loss": 2.7086517810821533, |
|
"eval_pearson": 0.16435132629367552, |
|
"eval_runtime": 3.3354, |
|
"eval_samples_per_second": 449.718, |
|
"eval_spearmanr": 0.16656440676282144, |
|
"eval_steps_per_second": 3.598, |
|
"step": 315 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 4.2e-05, |
|
"loss": 1.385, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_combined_score": 0.22276448760492518, |
|
"eval_loss": 2.2717580795288086, |
|
"eval_pearson": 0.22248120048402384, |
|
"eval_runtime": 3.3336, |
|
"eval_samples_per_second": 449.959, |
|
"eval_spearmanr": 0.22304777472582654, |
|
"eval_steps_per_second": 3.6, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"learning_rate": 4.1e-05, |
|
"loss": 1.2518, |
|
"step": 405 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_combined_score": 0.20775779205236106, |
|
"eval_loss": 2.4105288982391357, |
|
"eval_pearson": 0.21335013337998907, |
|
"eval_runtime": 3.3266, |
|
"eval_samples_per_second": 450.91, |
|
"eval_spearmanr": 0.20216545072473302, |
|
"eval_steps_per_second": 3.607, |
|
"step": 405 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 4e-05, |
|
"loss": 1.143, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_combined_score": 0.20401599479580373, |
|
"eval_loss": 2.583439350128174, |
|
"eval_pearson": 0.199757100307282, |
|
"eval_runtime": 3.3001, |
|
"eval_samples_per_second": 454.528, |
|
"eval_spearmanr": 0.20827488928432544, |
|
"eval_steps_per_second": 3.636, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"learning_rate": 3.9000000000000006e-05, |
|
"loss": 1.0191, |
|
"step": 495 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_combined_score": 0.18757445818785518, |
|
"eval_loss": 2.6131715774536133, |
|
"eval_pearson": 0.1855518355233361, |
|
"eval_runtime": 3.3246, |
|
"eval_samples_per_second": 451.182, |
|
"eval_spearmanr": 0.18959708085237428, |
|
"eval_steps_per_second": 3.609, |
|
"step": 495 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"learning_rate": 3.8e-05, |
|
"loss": 0.9431, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_combined_score": 0.18281609256386636, |
|
"eval_loss": 2.818650960922241, |
|
"eval_pearson": 0.1784366005924437, |
|
"eval_runtime": 3.3302, |
|
"eval_samples_per_second": 450.422, |
|
"eval_spearmanr": 0.187195584535289, |
|
"eval_steps_per_second": 3.603, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"learning_rate": 3.7e-05, |
|
"loss": 0.8725, |
|
"step": 585 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_combined_score": 0.18470921539603302, |
|
"eval_loss": 2.8360345363616943, |
|
"eval_pearson": 0.18149675678836885, |
|
"eval_runtime": 3.3258, |
|
"eval_samples_per_second": 451.016, |
|
"eval_spearmanr": 0.1879216740036972, |
|
"eval_steps_per_second": 3.608, |
|
"step": 585 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"step": 585, |
|
"total_flos": 1781311270289408.0, |
|
"train_loss": 1.821616702609592, |
|
"train_runtime": 670.1493, |
|
"train_samples_per_second": 428.934, |
|
"train_steps_per_second": 3.357 |
|
} |
|
], |
|
"max_steps": 2250, |
|
"num_train_epochs": 50, |
|
"total_flos": 1781311270289408.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|