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adding basic model card

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Adding a basic model card ahead of NoDaLiDa 2023.

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  ---
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  pipeline_tag: summarization
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  pipeline_tag: summarization
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+ license: apache-2.0
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+ language:
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+ - da
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+ ---
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+ # mT5-base fine-tuned for News article Summarisation ✏️🧾
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+ [Google's mT5](https://aclanthology.org/2021.naacl-main.41/) for **summarisation** downstream task.
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+ # Model summary
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+ This repository contains a model for Danish abstractive summarisation of news articles. The summariser is based on a language-specific mT5-base.
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+ The model is fine-tuned using an abstractive subset of the DaNewsroom dataset (Varab & Schluter, 2020), according to the binned density categories employed in Newsroom (Grusky et al., 2019).
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+
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+ # References
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+ Grusky, M., Naaman, M., & Artzi, Y. (2018). Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies. ArXiv:1804.11283 [Cs]. http://arxiv.org/abs/1804.11283
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+ Varab, D., & Schluter, N. (2020). DaNewsroom: A Large-scale Danish Summarisation Dataset. Proceedings of the 12th Language Resources and Evaluation Conference, 6731–6739. https://aclanthology.org/2020.lrec-1.831