{ "best_metric": 0.7496182139399324, "best_model_checkpoint": "DocLayNet/lilt-xlm-roberta-base-finetuned-DocLayNet-base_paragraphs_ml512-v1/checkpoint-200", "epoch": 0.15991471215351813, "eval_steps": 100, "global_step": 300, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.053304904051172705, "eval_accuracy": 0.7157016379370577, "eval_f1": 0.7157016379370577, "eval_loss": 0.8210025429725647, "eval_precision": 0.7157016379370577, "eval_recall": 0.7157016379370577, "eval_runtime": 40.0037, "eval_samples_per_second": 40.171, "eval_steps_per_second": 2.525, "step": 100 }, { "epoch": 0.10660980810234541, "eval_accuracy": 0.7496182139399323, "eval_f1": 0.7496182139399324, "eval_loss": 0.673028290271759, "eval_precision": 0.7496182139399323, "eval_recall": 0.7496182139399323, "eval_runtime": 42.4041, "eval_samples_per_second": 37.897, "eval_steps_per_second": 2.382, "step": 200 }, { "epoch": 0.15991471215351813, "eval_accuracy": 0.7356044197350954, "eval_f1": 0.7356044197350955, "eval_loss": 0.6603901982307434, "eval_precision": 0.7356044197350954, "eval_recall": 0.7356044197350954, "eval_runtime": 41.1176, "eval_samples_per_second": 39.083, "eval_steps_per_second": 2.456, "step": 300 } ], "logging_steps": 500, "max_steps": 1876, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 100, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 890151164313600.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }