---
library_name: transformers
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: df2ec487db69725dff7faeebdec684fd
  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. -->

# df2ec487db69725dff7faeebdec684fd

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the Helsinki-NLP/opus_books [es-it] dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7366
- Data Size: 1.0
- Epoch Runtime: 185.3542
- Bleu: 5.3451

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:------:|
| No log        | 0     | 0    | 6.8083          | 0         | 15.4169       | 0.3904 |
| No log        | 1     | 721  | 3.2524          | 0.0078    | 17.0675       | 3.2322 |
| No log        | 2     | 1442 | 3.0505          | 0.0156    | 20.1139       | 3.7278 |
| 0.0613        | 3     | 2163 | 2.9022          | 0.0312    | 22.9839       | 4.3023 |
| 0.2014        | 4     | 2884 | 2.7807          | 0.0625    | 28.3371       | 4.9489 |
| 2.7545        | 5     | 3605 | 2.6759          | 0.125     | 39.7855       | 5.6347 |
| 2.5588        | 6     | 4326 | 2.5606          | 0.25      | 59.6311       | 6.3126 |
| 2.4027        | 7     | 5047 | 2.4370          | 0.5       | 102.1237      | 7.7033 |
| 2.1059        | 8.0   | 5768 | 2.3380          | 1.0       | 184.7286      | 6.2981 |
| 1.769         | 9.0   | 6489 | 2.3692          | 1.0       | 185.0756      | 5.9444 |
| 1.5192        | 10.0  | 7210 | 2.4797          | 1.0       | 184.1943      | 5.6407 |
| 1.2383        | 11.0  | 7931 | 2.5675          | 1.0       | 183.9788      | 5.3725 |
| 1.0197        | 12.0  | 8652 | 2.7366          | 1.0       | 185.3542      | 5.3451 |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1