---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-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. -->

# MT5-Fine-tuning-Vi-News-Summarization

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on [vietgpt/news_summarization_vi](https://huggingface.co/datasets/vietgpt/news_summarization_vi).
It achieves the following results on the evaluation set:
- Loss: 0.8435
- Rouge1: 71.033
- Rouge2: 46.9902
- Rougel: 49.8521
- Rougelsum: 64.0283
- Gen Len: 231.535

## 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: 6
- 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