pytorch encoder-decoder seq2seq fa transformers license:apache-2.0 summarization text2text-generation
.gitattributes README.md config.json pytorch_model.bin vocab.txt
---
language: fa
license: apache-2.0
tags:
- summarization
---

A Bert2Bert model on VoA Persian Corpus (a medium-sized corpus of 7.9 million words, 2003-2008) generates headlines. The model achieved a 25.30 ROUGE-2 score. 
 
For more detail, please follow the [News Headline Generation](https://github.com/m3hrdadfi/news-headline-generation) repo. 


## Eval results
The following table summarizes the ROUGE scores obtained by the Bert2Bert model.

|    %    | Precision | Recall | FMeasure |
|:-------:|:---------:|:------:|:--------:|
| ROUGE-1 |   43.78   |  45.52 |   43.54  |
| ROUGE-2 |   24.50   | 25.30* |   24.24  |
| ROUGE-L |   41.20   |  42.22 |   40.76  |


## Questions?
Post a Github issue on the [News Headline Generation](https://github.com/hooshvare/news-headline-generation/issues) repo.
