| --- |
| library_name: transformers |
| license: mit |
| base_model: nsi319/legal-pegasus |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: legpeg-sci-tr |
| 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. --> |
|
|
| # legpeg-sci-tr |
|
|
| This model is a fine-tuned version of [nsi319/legal-pegasus](https://huggingface.co/nsi319/legal-pegasus) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.8920 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
|
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| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 6 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 3.3507 | 1.0 | 2904 | 3.1046 | |
| | 3.1536 | 2.0 | 5808 | 3.0137 | |
| | 3.0716 | 3.0 | 8712 | 2.9679 | |
| | 2.9939 | 4.0 | 11616 | 2.9447 | |
| | 2.9379 | 5.0 | 14520 | 2.9230 | |
| | 2.9062 | 6.0 | 17424 | 2.8920 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.3.1.post300 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
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|
