---
library_name: transformers
license: mit
base_model: aparajitha/legpeg-sci-tr
tags:
- generated_from_trainer
model-index:
- name: legpeg-sci-ms-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-ms-tr

This model is a fine-tuned version of [aparajitha/legpeg-sci-tr](https://huggingface.co/aparajitha/legpeg-sci-tr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1409

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4127        | 1.0   | 1092 | 2.2359          |
| 2.2874        | 2.0   | 2184 | 2.1879          |
| 2.2442        | 3.0   | 3276 | 2.1628          |
| 2.165         | 4.0   | 4368 | 2.1498          |
| 2.1295        | 5.0   | 5460 | 2.1422          |
| 2.106         | 6.0   | 6552 | 2.1409          |


### Framework versions

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