| library_name: transformers | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: eng-baseline-small | |
| 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. --> | |
| # eng-baseline-small | |
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.8077 | |
| ## 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: 0.0001 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 3.6579 | 1.0 | 6484 | 3.1221 | | |
| | 3.1041 | 2.0 | 12968 | 2.9382 | | |
| | 2.9847 | 3.0 | 19452 | 2.8657 | | |
| | 2.9267 | 4.0 | 25936 | 2.8256 | | |
| | 2.8941 | 5.0 | 32420 | 2.8077 | | |
| ### Framework versions | |
| - Transformers 4.53.0 | |
| - Pytorch 2.7.1+cu126 | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.21.2 | |