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  # data-silence/any-news-sum
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- This repository contains the mT5 checkpoint finetuned on the 45 languages of [XL-Sum](https://huggingface.co/datasets/csebuetnlp/xlsum) dataset and trained on the summarization task.
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- The model is designed to simultaneously generate a headline and a summary of a news story based on its full content.
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  The primary focus of the training was on Russian language operation, but to some extent the model will work on text in any language supported by the mT5 mother model and XL-Sum dataset.
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  # data-silence/any-news-sum
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+ This repository contains the mT5 checkpoint finetuned on the 45 languages of my [sumnews](https://huggingface.co/datasets/data-silence/sumnews) news dataset, which based on popular [XL-Sum](https://huggingface.co/datasets/csebuetnlp/xlsum).
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+ The model solves the news summarization task: it's designed to simultaneously generate a headline and a summary of a news story based on its full content.
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  The primary focus of the training was on Russian language operation, but to some extent the model will work on text in any language supported by the mT5 mother model and XL-Sum dataset.
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