|
{ |
|
"best_metric": 0.5771955847740173, |
|
"best_model_checkpoint": "hBERTv2_mrpc/checkpoint-45", |
|
"epoch": 8.0, |
|
"global_step": 120, |
|
"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": 0.6388, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6838235294117647, |
|
"eval_combined_score": 0.7480253018237863, |
|
"eval_f1": 0.8122270742358079, |
|
"eval_loss": 0.6297235488891602, |
|
"eval_runtime": 0.4849, |
|
"eval_samples_per_second": 841.375, |
|
"eval_steps_per_second": 4.124, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 4.806666666666667e-05, |
|
"loss": 0.612, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6887254901960784, |
|
"eval_combined_score": 0.7511175174915782, |
|
"eval_f1": 0.8135095447870779, |
|
"eval_loss": 0.631518542766571, |
|
"eval_runtime": 0.4881, |
|
"eval_samples_per_second": 835.824, |
|
"eval_steps_per_second": 4.097, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 4.706666666666667e-05, |
|
"loss": 0.5725, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.6936274509803921, |
|
"eval_combined_score": 0.7511016274810076, |
|
"eval_f1": 0.8085758039816232, |
|
"eval_loss": 0.5771955847740173, |
|
"eval_runtime": 0.4811, |
|
"eval_samples_per_second": 847.98, |
|
"eval_steps_per_second": 4.157, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.606666666666667e-05, |
|
"loss": 0.512, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7009803921568627, |
|
"eval_combined_score": 0.7580659536541889, |
|
"eval_f1": 0.8151515151515151, |
|
"eval_loss": 0.6260703206062317, |
|
"eval_runtime": 0.4792, |
|
"eval_samples_per_second": 851.387, |
|
"eval_steps_per_second": 4.173, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 4.5066666666666667e-05, |
|
"loss": 0.3924, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7279411764705882, |
|
"eval_combined_score": 0.7737266857962697, |
|
"eval_f1": 0.8195121951219512, |
|
"eval_loss": 0.6433467268943787, |
|
"eval_runtime": 0.4808, |
|
"eval_samples_per_second": 848.666, |
|
"eval_steps_per_second": 4.16, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"learning_rate": 4.406666666666667e-05, |
|
"loss": 0.2592, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.6862745098039216, |
|
"eval_combined_score": 0.7228365030222615, |
|
"eval_f1": 0.7593984962406015, |
|
"eval_loss": 0.7530680894851685, |
|
"eval_runtime": 0.4847, |
|
"eval_samples_per_second": 841.795, |
|
"eval_steps_per_second": 4.126, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 4.3066666666666665e-05, |
|
"loss": 0.1689, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.7377450980392157, |
|
"eval_combined_score": 0.7767899328406062, |
|
"eval_f1": 0.8158347676419966, |
|
"eval_loss": 0.7904398441314697, |
|
"eval_runtime": 0.4827, |
|
"eval_samples_per_second": 845.31, |
|
"eval_steps_per_second": 4.144, |
|
"step": 105 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"learning_rate": 4.206666666666667e-05, |
|
"loss": 0.1292, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.7622549019607843, |
|
"eval_combined_score": 0.8001591705129464, |
|
"eval_f1": 0.8380634390651085, |
|
"eval_loss": 0.9954336285591125, |
|
"eval_runtime": 0.4833, |
|
"eval_samples_per_second": 844.146, |
|
"eval_steps_per_second": 4.138, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"step": 120, |
|
"total_flos": 3654895836069888.0, |
|
"train_loss": 0.4106310119231542, |
|
"train_runtime": 160.8809, |
|
"train_samples_per_second": 1139.973, |
|
"train_steps_per_second": 4.662 |
|
} |
|
], |
|
"max_steps": 750, |
|
"num_train_epochs": 50, |
|
"total_flos": 3654895836069888.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|