---
license: mit
base_model: PhucMap/BARTphoVi-VSL
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mBART-vi-news-summarization
  results: []
datasets:
- vietgpt/news_summarization_vi
language:
- vi
pipeline_tag: summarization
---

<!-- 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-vi-news-summarization

This model is a fine-tuned version of [PhucMap/BARTphoVi-VSL](https://huggingface.co/PhucMap/BARTphoVi-VSL) on vietgpt/news_summarization_vi.
It achieves the following results on the evaluation set:
- Loss: 0.8166
- Rouge1: 70.8598
- Rouge2: 51.2255
- Rougel: 51.8606
- Rougelsum: 65.5856
- Gen Len: 152.869

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2