---
base_model: google/pegasus-xsum
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus-translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pegasus-translation

This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7812
- Bleu: 8.2441
- Gen Len: 42.8836

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 146  | 2.9577          | 7.2732 | 42.4658 |
| No log        | 2.0   | 292  | 2.7812          | 8.2441 | 42.8836 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2