---
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

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: 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          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1