---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-vi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-en-vi

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2733
- Bleu: 37.1266

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.4817        | 1.0   | 8333  | 1.2790          | 36.7813 |
| 1.3955        | 2.0   | 16666 | 1.2750          | 36.9542 |
| 1.3368        | 3.0   | 24999 | 1.2733          | 37.1266 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1