Update README.md

README.md

@@ -58,27 +58,26 @@ print(similarities)
 ### JMTEB
 Evaluated with [JMTEB](https://github.com/sbintuitions/JMTEB).
 
-|Model|#Param.|Retrieval|STS|Classfification|Reranking|Clustering|PairClassification|Avg.|
+|Model|#Param.|Avg.|Retrieval|STS|Classfification|Reranking|Clustering|PairClassification|
 |:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
-|[cl-nagoya/sup-simcse-ja-base](https://huggingface.co/cl-nagoya/sup-simcse-ja-base)|111M|49.64|82.05|73.47|91.83|51.79|62.57|68.56|
-|[cl-nagoya/sup-simcse-ja-large](https://huggingface.co/cl-nagoya/sup-simcse-ja-large)|337M|37.62|83.18|73.73|91.48|50.56|62.51|66.51|
-|[cl-nagoya/unsup-simcse-ja-base](https://huggingface.co/cl-nagoya/unsup-simcse-ja-base)|111M|40.23|78.72|73.07|91.16|44.77|62.44|65.07|
-|[cl-nagoya/unsup-simcse-ja-large](https://huggingface.co/cl-nagoya/unsup-simcse-ja-large)|337M|40.53|80.56|74.66|90.95|48.41|62.49|66.27|
-|[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja)|133M|59.02|78.71|76.82|91.90|49.78|66.39|70.44|
+|[cl-nagoya/sup-simcse-ja-base](https://huggingface.co/cl-nagoya/sup-simcse-ja-base)|111M|68.56|49.64|82.05|73.47|91.83|51.79|62.57|
+|[cl-nagoya/sup-simcse-ja-large](https://huggingface.co/cl-nagoya/sup-simcse-ja-large)|337M|66.51|37.62|83.18|73.73|91.48|50.56|62.51|
+|[cl-nagoya/unsup-simcse-ja-base](https://huggingface.co/cl-nagoya/unsup-simcse-ja-base)|111M|65.07|40.23|78.72|73.07|91.16|44.77|62.44|
+|[cl-nagoya/unsup-simcse-ja-large](https://huggingface.co/cl-nagoya/unsup-simcse-ja-large)|337M|66.27|40.53|80.56|74.66|90.95|48.41|62.49|
+|[pkshatech/GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja)|133M|70.44|59.02|78.71|76.82|91.90|49.78|66.39|
 ||||||||||
-|[sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE)|472M|40.12|76.56|72.66|91.63|44.88|62.33|64.70|
-|[intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small)|118M|67.27|80.07|67.62|93.03|46.91|62.19|69.52|
-|[intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base)|278M|68.21|79.84|69.30|92.85|48.26|62.26|70.12|
-|[intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large)|560M|70.98|79.70|72.89|92.96|51.24|62.15|71.65|
+|[sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE)|472M|64.70|40.12|76.56|72.66|91.63|44.88|62.33|
+|[intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small)|118M|69.52|67.27|80.07|67.62|93.03|46.91|62.19|
+|[intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base)|278M|70.12|68.21|79.84|69.30|92.85|48.26|62.26|
+|[intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large)|560M|71.65|70.98|79.70|72.89|92.96|51.24|62.15|
 ||||||||||
-|OpenAI/text-embedding-ada-002|-|64.38|79.02|69.75|93.04|48.30|62.40|69.48|
-|OpenAI/text-embedding-3-small|-|66.39|79.46|73.06|92.92|51.06|62.27|70.86|
-|OpenAI/text-embedding-3-large|-|74.48|82.52|77.58|93.58|53.32|62.35|73.97|
+|OpenAI/text-embedding-ada-002|-|69.48|64.38|79.02|69.75|93.04|48.30|62.40|
+|OpenAI/text-embedding-3-small|-|70.86|66.39|79.46|73.06|92.92|51.06|62.27|
+|OpenAI/text-embedding-3-large|-|73.97|74.48|82.52|77.58|93.58|53.32|62.35|
 ||||||||||
-|**[Ruri-Small](https://huggingface.co/cl-nagoya/ruri-small)**|68M|69.41|82.79|76.22|93.00|51.19|62.11|71.53|
-|[Ruri-Base](https://huggingface.co/cl-nagoya/ruri-base)|111M|69.82|82.87|75.58|92.91|54.16|62.38|71.91|
-|[Ruri-Large](https://huggingface.co/cl-nagoya/ruri-large)|337M|73.02|83.13|77.43|92.99|51.82|62.29|73.31|
-
+|[**Ruri-Small**](https://huggingface.co/cl-nagoya/ruri-small) (this model)|68M|71.53|69.41|82.79|76.22|93.00|51.19|62.11|
+|[Ruri-Base](https://huggingface.co/cl-nagoya/ruri-base)|111M|71.91|69.82|82.87|75.58|92.91|54.16|62.38|
+|[Ruri-Large](https://huggingface.co/cl-nagoya/ruri-large)|337M|73.31|73.02|83.13|77.43|92.99|51.82|62.29|
 
 
 ## Model Details