---
license: cc-by-nc-4.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
base_model: facebook/nllb-200-distilled-600M
model-index:
- name: my_fine_tuning_nllb_660M_peft_en_vi_model_nmt
  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_nllb_660M_peft_en_vi_model_nmt

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the mt_eng_vietnamese dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1092
- Bleu: 33.9762
- Gen Len: 30.446

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 6.6862        | 1.0   | 33330 | 6.1106          | 33.8797 | 30.3964 |
| 6.6801        | 2.0   | 66660 | 6.1092          | 33.9762 | 30.446  |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.2