---
license: mit
base_model: flax-community/spanish-t5-small
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spanish-t5-small-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. -->

# spanish-t5-small-neutralization

This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co./flax-community/spanish-t5-small) on [hackathon-pln-es/neutral-es dataset](https://huggingface.co./datasets/hackathon-pln-es/neutral-es).
It achieves the following results on the evaluation set:
- Loss: 0.1364
- Bleu: 85.9727
- Gen Len: 14.6667

## 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   | 440  | 0.1866          | 84.2055 | 14.7604 |
| 0.3           | 2.0   | 880  | 0.1364          | 85.9727 | 14.6667 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2