Add link to @lxyuan their model
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README.md
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@@ -273,5 +273,8 @@ The following hyperparameters were used during training:
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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## Contributions
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Many thanks to [Simone Tedeschi](https://huggingface.co/sted97) from [Babelscape](https://babelscape.com) for his insight when training this model and his involvement in the creation of the training dataset.
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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## See also
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* [lxyuan/span-marker-bert-base-multilingual-cased-multinerd](https://huggingface.co/lxyuan/span-marker-bert-base-multilingual-cased-multinerd) is similar to this model, but trained on 3 epochs instead of 2. It reaches better performance on 7 out of the 10 languages.
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## Contributions
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Many thanks to [Simone Tedeschi](https://huggingface.co/sted97) from [Babelscape](https://babelscape.com) for his insight when training this model and his involvement in the creation of the training dataset.
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