lilt-xlm-roberta-base-finetuned-DocLayNet-base_paragraphs_ml512-v1
/
checkpoint-200
/trainer_state.json
{ | |
"best_metric": 0.687484404164213, | |
"best_model_checkpoint": "DocLayNet/lilt-xlm-roberta-base-finetuned-DocLayNet-base_paragraphs_ml512-v1/checkpoint-100", | |
"epoch": 0.10660980810234541, | |
"eval_steps": 100, | |
"global_step": 200, | |
"is_hyper_param_search": false, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 0.05, | |
"eval_accuracy": 0.687484404164213, | |
"eval_f1": 0.687484404164213, | |
"eval_loss": 0.11619879305362701, | |
"eval_precision": 0.687484404164213, | |
"eval_recall": 0.687484404164213, | |
"eval_runtime": 114.5058, | |
"eval_samples_per_second": 14.034, | |
"eval_steps_per_second": 0.882, | |
"step": 100 | |
}, | |
{ | |
"epoch": 0.11, | |
"eval_accuracy": 0.6755467276193519, | |
"eval_f1": 0.6755467276193519, | |
"eval_loss": 0.1096724346280098, | |
"eval_precision": 0.6755467276193519, | |
"eval_recall": 0.6755467276193519, | |
"eval_runtime": 97.2211, | |
"eval_samples_per_second": 16.529, | |
"eval_steps_per_second": 1.039, | |
"step": 200 | |
} | |
], | |
"logging_steps": 500, | |
"max_steps": 1876, | |
"num_train_epochs": 1, | |
"save_steps": 100, | |
"total_flos": 445075582156800.0, | |
"trial_name": null, | |
"trial_params": null | |
} | |