{ "best_metric": 0.885723696687195, "best_model_checkpoint": "DocLayNet/lilt-xlm-roberta-base-finetuned-DocLayNet-base_paragraphs_ml512-v5/checkpoint-600", "epoch": 0.906183368869936, "global_step": 1700, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.05, "eval_accuracy": 0.6585185702735884, "eval_f1": 0.6585185702735884, "eval_loss": 0.9875321388244629, "eval_precision": 0.6585185702735884, "eval_recall": 0.6585185702735884, "eval_runtime": 47.6616, "eval_samples_per_second": 33.717, "eval_steps_per_second": 2.119, "step": 100 }, { "epoch": 0.11, "eval_accuracy": 0.7551279108067913, "eval_f1": 0.7551279108067913, "eval_loss": 0.7886354327201843, "eval_precision": 0.7551279108067913, "eval_recall": 0.7551279108067913, "eval_runtime": 48.4163, "eval_samples_per_second": 33.191, "eval_steps_per_second": 2.086, "step": 200 }, { "epoch": 0.16, "eval_accuracy": 0.8248275724395381, "eval_f1": 0.8248275724395382, "eval_loss": 0.5894176363945007, "eval_precision": 0.8248275724395381, "eval_recall": 0.8248275724395381, "eval_runtime": 47.5388, "eval_samples_per_second": 33.804, "eval_steps_per_second": 2.125, "step": 300 }, { "epoch": 0.21, "eval_accuracy": 0.839579985427251, "eval_f1": 0.8395799854272509, "eval_loss": 0.479428768157959, "eval_precision": 0.839579985427251, "eval_recall": 0.839579985427251, "eval_runtime": 45.3857, "eval_samples_per_second": 35.408, "eval_steps_per_second": 2.225, "step": 400 }, { "epoch": 0.27, "learning_rate": 1.4712153518123668e-05, "loss": 0.7446, "step": 500 }, { "epoch": 0.27, "eval_accuracy": 0.870342459600547, "eval_f1": 0.8703424596005469, "eval_loss": 0.39928165078163147, "eval_precision": 0.870342459600547, "eval_recall": 0.870342459600547, "eval_runtime": 46.3389, "eval_samples_per_second": 34.679, "eval_steps_per_second": 2.18, "step": 500 }, { "epoch": 0.32, "eval_accuracy": 0.885723696687195, "eval_f1": 0.885723696687195, "eval_loss": 0.36305829882621765, "eval_precision": 0.885723696687195, "eval_recall": 0.885723696687195, "eval_runtime": 46.9181, "eval_samples_per_second": 34.251, "eval_steps_per_second": 2.153, "step": 600 }, { "epoch": 0.37, "eval_accuracy": 0.8629662531066905, "eval_f1": 0.8629662531066905, "eval_loss": 0.4096183180809021, "eval_precision": 0.8629662531066905, "eval_recall": 0.8629662531066905, "eval_runtime": 45.8414, "eval_samples_per_second": 35.056, "eval_steps_per_second": 2.203, "step": 700 }, { "epoch": 0.43, "eval_accuracy": 0.8528252168445007, "eval_f1": 0.8528252168445007, "eval_loss": 0.44917240738868713, "eval_precision": 0.8528252168445007, "eval_recall": 0.8528252168445007, "eval_runtime": 45.6102, "eval_samples_per_second": 35.233, "eval_steps_per_second": 2.214, "step": 800 }, { "epoch": 0.48, "eval_accuracy": 0.8833980456546259, "eval_f1": 0.8833980456546259, "eval_loss": 0.38389313220977783, "eval_precision": 0.8833980456546259, "eval_recall": 0.8833980456546259, "eval_runtime": 47.6493, "eval_samples_per_second": 33.726, "eval_steps_per_second": 2.12, "step": 900 }, { "epoch": 0.53, "learning_rate": 9.381663113006397e-06, "loss": 0.4464, "step": 1000 }, { "epoch": 0.53, "eval_accuracy": 0.8498407977082855, "eval_f1": 0.8498407977082856, "eval_loss": 0.4365050792694092, "eval_precision": 0.8498407977082855, "eval_recall": 0.8498407977082855, "eval_runtime": 47.0078, "eval_samples_per_second": 34.186, "eval_steps_per_second": 2.149, "step": 1000 }, { "epoch": 0.59, "eval_accuracy": 0.8811622266361904, "eval_f1": 0.8811622266361904, "eval_loss": 0.36158204078674316, "eval_precision": 0.8811622266361904, "eval_recall": 0.8811622266361904, "eval_runtime": 44.8724, "eval_samples_per_second": 35.813, "eval_steps_per_second": 2.251, "step": 1100 }, { "epoch": 0.64, "eval_accuracy": 0.8795751943864972, "eval_f1": 0.8795751943864972, "eval_loss": 0.3948919177055359, "eval_precision": 0.8795751943864972, "eval_recall": 0.8795751943864972, "eval_runtime": 45.1224, "eval_samples_per_second": 35.614, "eval_steps_per_second": 2.238, "step": 1200 }, { "epoch": 0.69, "eval_accuracy": 0.8612794075079601, "eval_f1": 0.8612794075079601, "eval_loss": 0.41840043663978577, "eval_precision": 0.8612794075079601, "eval_recall": 0.8612794075079601, "eval_runtime": 39.7377, "eval_samples_per_second": 40.44, "eval_steps_per_second": 2.542, "step": 1300 }, { "epoch": 0.75, "eval_accuracy": 0.874334993562039, "eval_f1": 0.874334993562039, "eval_loss": 0.4129931926727295, "eval_precision": 0.874334993562039, "eval_recall": 0.874334993562039, "eval_runtime": 44.8477, "eval_samples_per_second": 35.832, "eval_steps_per_second": 2.252, "step": 1400 }, { "epoch": 0.8, "learning_rate": 4.051172707889126e-06, "loss": 0.3672, "step": 1500 }, { "epoch": 0.8, "eval_accuracy": 0.8288799944104525, "eval_f1": 0.8288799944104525, "eval_loss": 0.45351940393447876, "eval_precision": 0.8288799944104525, "eval_recall": 0.8288799944104525, "eval_runtime": 45.3573, "eval_samples_per_second": 35.43, "eval_steps_per_second": 2.227, "step": 1500 }, { "epoch": 0.85, "eval_accuracy": 0.8712607424116902, "eval_f1": 0.8712607424116902, "eval_loss": 0.36811864376068115, "eval_precision": 0.8712607424116902, "eval_recall": 0.8712607424116902, "eval_runtime": 44.3035, "eval_samples_per_second": 36.273, "eval_steps_per_second": 2.28, "step": 1600 }, { "epoch": 0.91, "eval_accuracy": 0.885723696687195, "eval_f1": 0.885723696687195, "eval_loss": 0.34459415078163147, "eval_precision": 0.885723696687195, "eval_recall": 0.885723696687195, "eval_runtime": 44.6077, "eval_samples_per_second": 36.025, "eval_steps_per_second": 2.264, "step": 1700 } ], "max_steps": 1876, "num_train_epochs": 1, "total_flos": 3783142448332800.0, "trial_name": null, "trial_params": null }