---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-praias_es-pt
  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. -->

# mbart-praias_es-pt

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2683
- Bleu: 6.9108
- Gen Len: 375.4697

## 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: 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   | 240  | 0.3664          | 10.2819 | 246.9123 |
| No log        | 2.0   | 480  | 0.2683          | 6.9108  | 375.4697 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0