---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-vi-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tatoeba-vi-tok
  results: []
language:
- vi
- tok
datasets:
- NetherQuartz/tatoeba-tokipona
---

<!-- 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. -->

# tatoeba-vi-tok

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-vi-en](https://huggingface.co/Helsinki-NLP/opus-mt-vi-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6910
- Bleu: 46.4356

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.2609        | 1.0   | 1167  | 1.0286          | 33.8552 |
| 0.98          | 2.0   | 2334  | 0.8700          | 39.5255 |
| 0.8347        | 3.0   | 3501  | 0.8036          | 41.4872 |
| 0.7753        | 4.0   | 4668  | 0.7661          | 43.3025 |
| 0.7272        | 5.0   | 5835  | 0.7389          | 44.2770 |
| 0.6876        | 6.0   | 7002  | 0.7254          | 45.1330 |
| 0.659         | 7.0   | 8169  | 0.7153          | 45.4847 |
| 0.6383        | 8.0   | 9336  | 0.7067          | 45.4353 |
| 0.6122        | 9.0   | 10503 | 0.7015          | 45.7612 |
| 0.5998        | 10.0  | 11670 | 0.6979          | 46.0799 |
| 0.5836        | 11.0  | 12837 | 0.6960          | 46.1173 |
| 0.5732        | 12.0  | 14004 | 0.6928          | 46.2538 |
| 0.5607        | 13.0  | 15171 | 0.6919          | 46.3801 |
| 0.553         | 14.0  | 16338 | 0.6911          | 46.3629 |
| 0.5518        | 15.0  | 17505 | 0.6910          | 46.4356 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1