---
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-The_Jungle_Book
  results: []
---

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# mbart-The_Jungle_Book

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the dataset [The_Jungle_Book_dataset](https://huggingface.co/datasets/IreneGaeta/The_Jungle_Book).
It achieves the following results on the evaluation set:
- Loss: 4.6366
- Bleu: 2.9447
- Gen Len: 25.1

## Model description

This model intends to translate sentences from English to Spanish.

## Intended uses & limitations

This model has been created as an in-class exercice, so the coverage of it can be very limited.

## 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   | 5    | 4.7580          | 2.2271 | 27.7    |
| No log        | 2.0   | 10   | 4.6366          | 2.9447 | 25.1    |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1