|
{ |
|
"best_metric": 0.751588502269289, |
|
"best_model_checkpoint": "models/nominal-groups-recognition-bert-base-spanish-wwm-cased/checkpoint-1140", |
|
"epoch": 5.0, |
|
"global_step": 1140, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 0.3955, |
|
"step": 228 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_NG_f1": 0.7305991767037658, |
|
"eval_NG_number": 3198, |
|
"eval_NG_precision": 0.7128830705147278, |
|
"eval_NG_recall": 0.7492182614133833, |
|
"eval_loss": 0.2777566611766815, |
|
"eval_overall_accuracy": 0.8924281360186458, |
|
"eval_overall_f1": 0.7305991767037658, |
|
"eval_overall_precision": 0.7128830705147278, |
|
"eval_overall_recall": 0.7492182614133833, |
|
"eval_runtime": 13.4558, |
|
"eval_samples_per_second": 29.058, |
|
"eval_steps_per_second": 3.642, |
|
"step": 228 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.2e-05, |
|
"loss": 0.2186, |
|
"step": 456 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_NG_f1": 0.7509135200974422, |
|
"eval_NG_number": 3198, |
|
"eval_NG_precision": 0.7317507418397626, |
|
"eval_NG_recall": 0.7711069418386491, |
|
"eval_loss": 0.2762524485588074, |
|
"eval_overall_accuracy": 0.8990019721508397, |
|
"eval_overall_f1": 0.7509135200974422, |
|
"eval_overall_precision": 0.7317507418397626, |
|
"eval_overall_recall": 0.7711069418386491, |
|
"eval_runtime": 13.7791, |
|
"eval_samples_per_second": 28.376, |
|
"eval_steps_per_second": 3.556, |
|
"step": 456 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 8.000000000000001e-06, |
|
"loss": 0.1586, |
|
"step": 684 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_NG_f1": 0.7496210973022128, |
|
"eval_NG_number": 3198, |
|
"eval_NG_precision": 0.7273529411764705, |
|
"eval_NG_recall": 0.7732958098811757, |
|
"eval_loss": 0.29604893922805786, |
|
"eval_overall_accuracy": 0.8992410207374649, |
|
"eval_overall_f1": 0.7496210973022128, |
|
"eval_overall_precision": 0.7273529411764705, |
|
"eval_overall_recall": 0.7732958098811757, |
|
"eval_runtime": 13.0377, |
|
"eval_samples_per_second": 29.99, |
|
"eval_steps_per_second": 3.758, |
|
"step": 684 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.000000000000001e-06, |
|
"loss": 0.119, |
|
"step": 912 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_NG_f1": 0.7498103474434835, |
|
"eval_NG_number": 3198, |
|
"eval_NG_precision": 0.7282640730916593, |
|
"eval_NG_recall": 0.7726704190118824, |
|
"eval_loss": 0.3329506516456604, |
|
"eval_overall_accuracy": 0.8981653020976513, |
|
"eval_overall_f1": 0.7498103474434835, |
|
"eval_overall_precision": 0.7282640730916593, |
|
"eval_overall_recall": 0.7726704190118824, |
|
"eval_runtime": 12.649, |
|
"eval_samples_per_second": 30.912, |
|
"eval_steps_per_second": 3.874, |
|
"step": 912 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.0943, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_NG_f1": 0.751588502269289, |
|
"eval_NG_number": 3198, |
|
"eval_NG_precision": 0.7280187573270809, |
|
"eval_NG_recall": 0.776735459662289, |
|
"eval_loss": 0.3567813038825989, |
|
"eval_overall_accuracy": 0.8991812585908086, |
|
"eval_overall_f1": 0.751588502269289, |
|
"eval_overall_precision": 0.7280187573270809, |
|
"eval_overall_recall": 0.776735459662289, |
|
"eval_runtime": 12.6742, |
|
"eval_samples_per_second": 30.85, |
|
"eval_steps_per_second": 3.866, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 1140, |
|
"total_flos": 2383047966228480.0, |
|
"train_loss": 0.19723336571141292, |
|
"train_runtime": 917.7763, |
|
"train_samples_per_second": 9.937, |
|
"train_steps_per_second": 1.242 |
|
} |
|
], |
|
"max_steps": 1140, |
|
"num_train_epochs": 5, |
|
"total_flos": 2383047966228480.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|