---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT
  results: []
---

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

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: 1.1783
- Bleu: 37.7741

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 1.3717        | 1.0   | 186125 | 1.2371          | 35.8549 |
| 1.2926        | 2.0   | 372250 | 1.2113          | 36.7328 |
| 1.2505        | 3.0   | 558375 | 1.1954          | 37.0998 |
| 1.2025        | 4.0   | 744500 | 1.1847          | 37.5538 |
| 1.1853        | 5.0   | 930625 | 1.1783          | 37.7761 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.10.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1