---
base_model: NghiemAbe/mbart_VietnameseToEnglish
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart_VietnameseToEnglish_60k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mbart_VietnameseToEnglish_60k

This model is a fine-tuned version of [NghiemAbe/mbart_VietnameseToEnglish](https://huggingface.co/NghiemAbe/mbart_VietnameseToEnglish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4557
- Bleu: 27.1385
- Gen Len: 33.638

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.1212        | 1.0   | 3750 | 1.4557          | 27.1385 | 33.638  |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1