---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_fine_tuning_opus_mt_en_vi_model
  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. -->

# my_fine_tuning_opus_mt_en_vi_model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3240
- Bleu: 36.0564
- Gen Len: 28.405

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.2395        | 1.0   | 16665  | 0.3059          | 36.5417 | 28.4965 |
| 0.2182        | 2.0   | 33330  | 0.3079          | 36.2686 | 28.5296 |
| 0.2072        | 3.0   | 49995  | 0.3105          | 36.4146 | 28.5099 |
| 0.1906        | 4.0   | 66660  | 0.3131          | 36.3594 | 28.4397 |
| 0.1803        | 5.0   | 83325  | 0.3153          | 36.2658 | 28.6052 |
| 0.1738        | 6.0   | 99990  | 0.3182          | 35.9334 | 28.5311 |
| 0.1701        | 7.0   | 116655 | 0.3200          | 36.1934 | 28.4358 |
| 0.1634        | 8.0   | 133320 | 0.3216          | 35.9721 | 28.4358 |
| 0.1605        | 9.0   | 149985 | 0.3233          | 36.2007 | 28.4618 |
| 0.1545        | 10.0  | 166650 | 0.3240          | 36.0564 | 28.405  |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2