--- library_name: transformers tags: - generated_from_trainer model-index: - name: tmp_trainer results: [] --- # tmp_trainer This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 0.7463 - eval_model_preparation_time: 0.0036 - eval_accuracy: 0.49 - eval_precision: 0.0577 - eval_recall: 0.6 - eval_f1: 0.1053 - eval_runtime: 18.6792 - eval_samples_per_second: 5.354 - eval_steps_per_second: 0.696 - step: 0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 3.0 ### Framework versions - Transformers 5.2.0 - Pytorch 2.9.1+cu128 - Datasets 4.5.0 - Tokenizers 0.22.1