Sentence Similarity
sentence-transformers
PyTorch
Transformers
Japanese
luke
feature-extraction
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update readme

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@@ -91,7 +91,7 @@ Evaluation by Spearman's correlation coefficient and Pearson's correlation coeff
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  Evaluation by top-k retrieval accuracy[^4] (the fraction of questions that have a correct answer in the top-k retrieved documents at least once.)
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  | Model | Top-1 | Top-5 | Top-10 | Top-50 |
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  | --- | --- | --- | --- | --- |
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- | [text-embedding-ada-002](https://platform.openai.com/docs/guides/embeddings) | 33.50 | **57.80** | 65.10 | 76.60 |
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  | [pkshatech/simcse-ja-bert-base-clcmlp](https://huggingface.co/pkshatech/simcse-ja-bert-base-clcmlp)[^3] | 30.60 | 54.50 | 62.50 | 76.70 |
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  | pkshatech/GLuCoSE-base-ja | **36.10** | **59.40** | **66.40** | **78.30** |
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  Evaluation by top-k retrieval accuracy[^4] (the fraction of questions that have a correct answer in the top-k retrieved documents at least once.)
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  | Model | Top-1 | Top-5 | Top-10 | Top-50 |
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  | --- | --- | --- | --- | --- |
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+ | [text-embedding-ada-002](https://platform.openai.com/docs/guides/embeddings) | 33.50 | 57.80 | 65.10 | 76.60 |
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  | [pkshatech/simcse-ja-bert-base-clcmlp](https://huggingface.co/pkshatech/simcse-ja-bert-base-clcmlp)[^3] | 30.60 | 54.50 | 62.50 | 76.70 |
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  | pkshatech/GLuCoSE-base-ja | **36.10** | **59.40** | **66.40** | **78.30** |
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