---
library_name: transformers
base_model: naimur900/pegasus_xlsum
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus-neutralization
  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. -->

# pegasus-neutralization

This model is a fine-tuned version of [naimur900/pegasus_xlsum](https://huggingface.co/naimur900/pegasus_xlsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3032
- Bleu: 51.5489
- Gen Len: 43.0208

## 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: 5.6e-05
- train_batch_size: 2
- eval_batch_size: 2
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.2645        | 1.0   | 1757 | 0.3032          | 51.5489 | 43.0208 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1