layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384
/
checkpoint-3600
/trainer_state.json
{ | |
"best_metric": 0.7083662914511712, | |
"best_model_checkpoint": "DocLayNet/layout-xlm-base-finetuned-DocLayNet-base_lines_ml384-v1/checkpoint-3600", | |
"epoch": 1.4956377233070213, | |
"global_step": 3600, | |
"is_hyper_param_search": false, | |
"is_local_process_zero": true, | |
"is_world_process_zero": true, | |
"log_history": [ | |
{ | |
"epoch": 0.12, | |
"eval_accuracy": 0.8412902144953226, | |
"eval_f1": 0.13109765966400155, | |
"eval_loss": 0.5185014605522156, | |
"eval_precision": 0.14371894960965223, | |
"eval_recall": 0.1205141938939475, | |
"eval_runtime": 363.2958, | |
"eval_samples_per_second": 5.648, | |
"eval_steps_per_second": 0.355, | |
"step": 300 | |
}, | |
{ | |
"epoch": 0.21, | |
"learning_rate": 1.372060857538036e-05, | |
"loss": 0.9231, | |
"step": 500 | |
}, | |
{ | |
"epoch": 0.25, | |
"eval_accuracy": 0.8751371332529899, | |
"eval_f1": 0.5030902012034086, | |
"eval_loss": 0.4107707738876343, | |
"eval_precision": 0.4636655625815517, | |
"eval_recall": 0.5498422900672499, | |
"eval_runtime": 366.1838, | |
"eval_samples_per_second": 5.604, | |
"eval_steps_per_second": 0.352, | |
"step": 600 | |
}, | |
{ | |
"epoch": 0.37, | |
"eval_accuracy": 0.8887072454995973, | |
"eval_f1": 0.520614670919107, | |
"eval_loss": 0.3911038935184479, | |
"eval_precision": 0.5076044552496184, | |
"eval_recall": 0.5343093495209189, | |
"eval_runtime": 358.5079, | |
"eval_samples_per_second": 5.724, | |
"eval_steps_per_second": 0.36, | |
"step": 900 | |
}, | |
{ | |
"epoch": 0.42, | |
"learning_rate": 1.9159741458910434e-05, | |
"loss": 0.369, | |
"step": 1000 | |
}, | |
{ | |
"epoch": 0.5, | |
"eval_accuracy": 0.8723944681931917, | |
"eval_f1": 0.5365372697053354, | |
"eval_loss": 0.41175082325935364, | |
"eval_precision": 0.5093875367745386, | |
"eval_recall": 0.5667440338034875, | |
"eval_runtime": 370.2231, | |
"eval_samples_per_second": 5.543, | |
"eval_steps_per_second": 0.348, | |
"step": 1200 | |
}, | |
{ | |
"epoch": 0.62, | |
"learning_rate": 1.7620806401969838e-05, | |
"loss": 0.2737, | |
"step": 1500 | |
}, | |
{ | |
"epoch": 0.62, | |
"eval_accuracy": 0.8960354303687331, | |
"eval_f1": 0.6032919847328244, | |
"eval_loss": 0.33280590176582336, | |
"eval_precision": 0.6045538755752107, | |
"eval_recall": 0.6020353508302089, | |
"eval_runtime": 369.9685, | |
"eval_samples_per_second": 5.546, | |
"eval_steps_per_second": 0.349, | |
"step": 1500 | |
}, | |
{ | |
"epoch": 0.75, | |
"eval_accuracy": 0.9185901350526106, | |
"eval_f1": 0.640386343216532, | |
"eval_loss": 0.2983764410018921, | |
"eval_precision": 0.6061765800244512, | |
"eval_recall": 0.6786883294649765, | |
"eval_runtime": 366.7561, | |
"eval_samples_per_second": 5.595, | |
"eval_steps_per_second": 0.352, | |
"step": 1800 | |
}, | |
{ | |
"epoch": 0.83, | |
"learning_rate": 1.6084949215143123e-05, | |
"loss": 0.2542, | |
"step": 2000 | |
}, | |
{ | |
"epoch": 0.87, | |
"eval_accuracy": 0.9162879176822183, | |
"eval_f1": 0.6593356503902912, | |
"eval_loss": 0.3114674985408783, | |
"eval_precision": 0.6323842832941691, | |
"eval_recall": 0.6886865440695114, | |
"eval_runtime": 356.8285, | |
"eval_samples_per_second": 5.751, | |
"eval_steps_per_second": 0.362, | |
"step": 2100 | |
}, | |
{ | |
"epoch": 1.0, | |
"eval_accuracy": 0.919752052270062, | |
"eval_f1": 0.6536656236030397, | |
"eval_loss": 0.2877778708934784, | |
"eval_precision": 0.6160408657643899, | |
"eval_recall": 0.6961852050229126, | |
"eval_runtime": 352.6194, | |
"eval_samples_per_second": 5.819, | |
"eval_steps_per_second": 0.366, | |
"step": 2400 | |
}, | |
{ | |
"epoch": 1.04, | |
"learning_rate": 1.4546014158202526e-05, | |
"loss": 0.1938, | |
"step": 2500 | |
}, | |
{ | |
"epoch": 1.12, | |
"eval_accuracy": 0.9165257053918363, | |
"eval_f1": 0.6752131725962951, | |
"eval_loss": 0.34137091040611267, | |
"eval_precision": 0.6672865694194223, | |
"eval_recall": 0.6833303576742248, | |
"eval_runtime": 349.7664, | |
"eval_samples_per_second": 5.867, | |
"eval_steps_per_second": 0.369, | |
"step": 2700 | |
}, | |
{ | |
"epoch": 1.25, | |
"learning_rate": 1.3007079101261929e-05, | |
"loss": 0.1581, | |
"step": 3000 | |
}, | |
{ | |
"epoch": 1.25, | |
"eval_accuracy": 0.9193251152459752, | |
"eval_f1": 0.6871282417320962, | |
"eval_loss": 0.3610578179359436, | |
"eval_precision": 0.6867605968729564, | |
"eval_recall": 0.6874962804261144, | |
"eval_runtime": 346.075, | |
"eval_samples_per_second": 5.929, | |
"eval_steps_per_second": 0.373, | |
"step": 3000 | |
}, | |
{ | |
"epoch": 1.37, | |
"eval_accuracy": 0.9256291916839153, | |
"eval_f1": 0.6821629855293222, | |
"eval_loss": 0.2762657403945923, | |
"eval_precision": 0.6987891648982649, | |
"eval_recall": 0.6663095875736476, | |
"eval_runtime": 342.8929, | |
"eval_samples_per_second": 5.984, | |
"eval_steps_per_second": 0.376, | |
"step": 3300 | |
}, | |
{ | |
"epoch": 1.45, | |
"learning_rate": 1.1471221914435212e-05, | |
"loss": 0.1428, | |
"step": 3500 | |
}, | |
{ | |
"epoch": 1.5, | |
"eval_accuracy": 0.9287285383081404, | |
"eval_f1": 0.7083662914511712, | |
"eval_loss": 0.306523859500885, | |
"eval_precision": 0.7245907761249767, | |
"eval_recall": 0.6928524668214009, | |
"eval_runtime": 342.9768, | |
"eval_samples_per_second": 5.983, | |
"eval_steps_per_second": 0.376, | |
"step": 3600 | |
} | |
], | |
"max_steps": 7221, | |
"num_train_epochs": 3, | |
"total_flos": 1.1658333714746112e+16, | |
"trial_name": null, | |
"trial_params": null | |
} | |