Sentence Similarity
sentence-transformers
PyTorch
Transformers
Japanese
luke
feature-extraction
meguruin commited on
Commit
3dddb71
1 Parent(s): 008d110

Review from TAKASAKI

Browse files

軽微な修正です。
- GLuCoSE: General Luke-based COntrastive Sentence Embedding としていますが、Luに合わせてCOのoを小文字にしたほうがいいと思ったのですが、いかがでしょうか。(もしくはLUとする)

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  1. README.md +2 -2
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- # GLuCoSE (General Luke-based COntrastive Sentence Embedding)-base-Japanese
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  [日本語のREADME/Japanese README](https://huggingface.co/pkshatech/GLuCoSE-base-ja)
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  [^1]: When we trained this model, the test data of JGLUE was not released, so we used the dev set of JGLUE as a private evaluation data. Therefore, we selected the checkpoint on the train set of JGLUE insted of its dev set.
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  [^2]: https://qiita.com/akeyhero/items/ce371bfed64399027c23
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- [^3]: This is the model that PKSHA Technology published before this model.
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  [^4]: For more details, please refer to https://arxiv.org/pdf/2004.04906.pdf.
 
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+ # GLuCoSE (General Luke-based Contrastive Sentence Embedding)-base-Japanese
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  [日本語のREADME/Japanese README](https://huggingface.co/pkshatech/GLuCoSE-base-ja)
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  [^1]: When we trained this model, the test data of JGLUE was not released, so we used the dev set of JGLUE as a private evaluation data. Therefore, we selected the checkpoint on the train set of JGLUE insted of its dev set.
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  [^2]: https://qiita.com/akeyhero/items/ce371bfed64399027c23
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+ [^3]: This is the model we have released before.
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  [^4]: For more details, please refer to https://arxiv.org/pdf/2004.04906.pdf.