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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.
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For more detail, please follow the [News Headline Generation](https://github.com/m3hrdadfi/news-headline-generation) repo.
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## Eval results
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The following table summarizes the ROUGE scores obtained by the Bert2Bert model.
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| % | Precision | Recall | FMeasure |
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|:-------:|:---------:|:------:|:--------:|
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| ROUGE-1 | 43.78 | 45.52 | 43.54 |
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| ROUGE-2 | 24.50 | 25.30*| 24.24 |
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| ROUGE-L | 41.20 | 42.22 | 40.76 |
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## Questions?
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Post a Github issue on the [News Headline Generation](https://github.com/hooshvare/news-headline-generation/issues) repo.
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