---
base_model: harouzie/mbart-translation-en2vi
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-translation-en2vi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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: 0.3478
- Bleu: 72.4907
- Gen Len: 12.1935

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.3742        | 1.0   | 3176 | 0.3461          | 72.4287 | 12.1533 |


### Framework versions

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