---
license: apache-2.0
base_model: hackathon-pln-es/es_text_neutralizer
tags:
- transformation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: es_neutral
  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. -->

# es_neutral

This model is a fine-tuned version of [hackathon-pln-es/es_text_neutralizer](https://huggingface.co/hackathon-pln-es/es_text_neutralizer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0665
- Bleu: 87.5423
- Gen Len: 18.5417

## 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  | 0.0719          | 87.4629 | 18.5417 |
| 0.0256        | 2.0   | 880  | 0.0665          | 87.5423 | 18.5417 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2