---
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-simplificacion
  results: []
datasets:
- crrodrvi/lectura_dificil_facil
language:
- es
pipeline_tag: text2text-generation
---
# modelo_simplificacion_bart

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the lectura_dificl_facil dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9828 
- Bleu: 9.1817

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 109  | 3.1239          | 8.7241 | 29.2727 |
| No log        | 2.0   | 218  | 3.0680          | 7.3130 | 23.9432 |
| No log        | 3.0   | 327  | 2.9828          | 9.1817 | 28.5000 |



### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1