transformers safetensors mbart text2text-generation generated_from_trainer hre base_model:facebook/mbart-large-50-many-to-many-mmt base_model:finetune:facebook/mbart-large-50-many-to-many-mmt autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/mbart-large-50-many-to-many-mmt
language:
- hre
library_name: transformers
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: mBART Hre Vietnamese translation 1.2
  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 1.2

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0012
- Bleu: 83.4928

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 336  | 0.1086          | 4.3490  |
| 0.5946        | 2.0   | 672  | 0.0617          | 10.2703 |
| 0.0834        | 3.0   | 1008 | 0.0302          | 39.4194 |
| 0.0834        | 4.0   | 1344 | 0.0135          | 56.0138 |
| 0.0252        | 5.0   | 1680 | 0.0077          | 69.3363 |
| 0.0097        | 6.0   | 2016 | 0.0046          | 77.2427 |
| 0.0097        | 7.0   | 2352 | 0.0037          | 81.1891 |
| 0.004         | 8.0   | 2688 | 0.0021          | 85.4589 |
| 0.0025        | 9.0   | 3024 | 0.0014          | 85.5600 |
| 0.0025        | 10.0  | 3360 | 0.0012          | 83.4928 |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
