| library_name: transformers | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: tmp_trainer | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |