---
library_name: transformers
language:
- hre
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
model-index:
- name: mBART Hre Vietnamese translation 1.0
  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 Hre Vietnamese translation 1.0

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0011

## 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
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 336  | 0.1069          |
| 0.5938        | 2.0   | 672  | 0.0613          |
| 0.0798        | 3.0   | 1008 | 0.0315          |
| 0.0798        | 4.0   | 1344 | 0.0154          |
| 0.0267        | 5.0   | 1680 | 0.0098          |
| 0.0123        | 6.0   | 2016 | 0.0057          |
| 0.0123        | 7.0   | 2352 | 0.0062          |
| 0.0061        | 8.0   | 2688 | 0.0052          |
| 0.0043        | 9.0   | 3024 | 0.0033          |
| 0.0043        | 10.0  | 3360 | 0.0031          |
| 0.003         | 11.0  | 3696 | 0.0023          |
| 0.0024        | 12.0  | 4032 | 0.0023          |
| 0.0024        | 13.0  | 4368 | 0.0020          |
| 0.0018        | 14.0  | 4704 | 0.0016          |
| 0.0016        | 15.0  | 5040 | 0.0020          |
| 0.0016        | 16.0  | 5376 | 0.0015          |
| 0.0014        | 17.0  | 5712 | 0.0013          |
| 0.0011        | 18.0  | 6048 | 0.0011          |
| 0.0011        | 19.0  | 6384 | 0.0010          |
| 0.0008        | 20.0  | 6720 | 0.0011          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0