---
base_model: harouzie/mbart-translation-en2vi
tags:
- generated_from_trainer
metrics:
- bleu
- sacrebleu
model-index:
- name: mbart-translation-en2vi
  results: []
license: mit
datasets:
- harouzie/vi_en-translation
language:
- en
- vi
library_name: transformers
pipeline_tag: translation
---

<!-- 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-translation-en2vi

This model is a fine-tuned version of [harouzie/mbart-translation-en2vi](https://huggingface.co/harouzie/mbart-translation-en2vi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2959
- Bleu: 75.2497
- Gen Len: 12.1475

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.3171        | 1.0   | 6352 | 0.2997          | 74.9862 | 12.135  |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3