---
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Mt5-neutralization-es
  results: []
datasets:
- somosnlp-hackathon-2022/neutral-es
language:
- es
pipeline_tag: text2text-generation
---

<!-- 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. -->

# Mt5-neutralization-es

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1368
- Bleu: 81.3122
- Gen Len: 17.4896

## Intended uses & limitations

Translating Spanish sentences and texts into neutral,"inclusive" language
Los alumnos: el alumnado
Las enfermeras: el personal sanitario

## Training and evaluation data

Training and evaluation dataset: Spanish Gender Neutralization dataset

### 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 440  | 0.1853          | 81.0788 | 18.3125 |
| 1.9771        | 2.0   | 880  | 0.1368          | 81.3122 | 17.4896 |


### Framework versions

- Transformers 4.50.1
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1