---
library_name: peft
tags:
- generated_from_trainer
datasets:
- mt_eng_vietnamese
metrics:
- bleu
base_model: facebook/mbart-large-50-many-to-many-mmt
model-index:
- name: mBart50-tl-en2vi-lora
  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. -->

# mBart50-tl-en2vi-lora

This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the mt_eng_vietnamese dataset.
It achieves the following results on the evaluation set:
- Loss: 6.6172
- Bleu: 34.4063
- Gen Len: 32.7321

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 6.9999        | 0.21  | 2000 | 6.6880          | 32.0922 | 32.1749 |
| 6.9674        | 0.42  | 4000 | 6.6544          | 32.7344 | 32.7289 |
| 6.9357        | 0.63  | 6000 | 6.6310          | 34.0802 | 32.4878 |
| 6.9162        | 0.84  | 8000 | 6.6172          | 34.4063 | 32.7321 |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2