Update README.md

README.md

@@ -17,19 +17,19 @@ library_name: sentence-transformers
 
 とても小さく速い日本語リランカーモデルシリーズ(v2)です。
 
-| モデル名 | レイヤー数 | 隠れ層サイズ |
-| --- | --- | --- |
-| [hotchpotch/japanese-reranker-tiny-v2](https://huggingface.co/hotchpotch/japanese-reranker-tiny-v2) | 3 | 256 |
-| [hotchpotch/japanese-reranker-xsmall-v2](https://huggingface.co/hotchpotch/japanese-reranker-xsmall-v2) | 10 | 256 |
-| [hotchpotch/japanese-reranker-cross-encoder-xsmall-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-xsmall-v1) | 6 | 384 |
-| [hotchpotch/japanese-reranker-cross-encoder-small-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-small-v1) | 12 | 384 |
-| [hotchpotch/japanese-reranker-cross-encoder-base-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-base-v1) | 12 | 768 |
-| [hotchpotch/japanese-reranker-cross-encoder-large-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-large-v1) | 24 | 1024 |
-| [hotchpotch/japanese-bge-reranker-v2-m3-v1](https://huggingface.co/hotchpotch/japanese-bge-reranker-v2-m3-v1) | 24 | 1024 |
+| モデル名 | レイヤー数 | 隠れ層サイズ | スコア(avg) | 速度(GPU) |
+| --- | --- | --- | --- | --- |
+| [hotchpotch/japanese-reranker-tiny-v2](https://huggingface.co/hotchpotch/japanese-reranker-tiny-v2) | 3 | 256 | 0.8138 | 2.1s |
+| [hotchpotch/japanese-reranker-xsmall-v2](https://huggingface.co/hotchpotch/japanese-reranker-xsmall-v2) | 10 | 256 | 0.8699 | 6.5s |
+| [hotchpotch/japanese-reranker-cross-encoder-xsmall-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-xsmall-v1) | 6 | 384 | 0.8131 | 20.5s |
+| [hotchpotch/japanese-reranker-cross-encoder-small-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-small-v1) | 12 | 384 | 0.8254 | 40.3s |
+| [hotchpotch/japanese-reranker-cross-encoder-base-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-base-v1) | 12 | 768 | 0.8484 | 96.8s |
+| [hotchpotch/japanese-reranker-cross-encoder-large-v1](https://huggingface.co/hotchpotch/japanese-reranker-cross-encoder-large-v1) | 24 | 1024 | 0.8661 | 312.2s |
+| [hotchpotch/japanese-bge-reranker-v2-m3-v1](https://huggingface.co/hotchpotch/japanese-bge-reranker-v2-m3-v1) | 24 | 1024 | 0.8584 | 310.6s |
 
 リランカーについてや、技術レポート・評価等は以下を参考ください。
 
-- [とても小さく速く実用的な日本語リランカー japanese-reranker-tiny,xsmall v2 を公開](https://secon.dev/entry/2025/05/09/100000-japanese-reranker-v2/)
+- [とても小さく速く実用的な日本語リランカー japanese-reranker-tiny,xsmall v2 を公開](https://secon.dev/entry/2025/05/08/100000-japanese-reranker-v2/)
 - [日本語最高性能のRerankerをリリース / そもそも Reranker とは?](https://secon.dev/entry/2024/04/02/070000-japanese-reranker-release/)
 - [日本語 Reranker 作成のテクニカルレポート](https://secon.dev/entry/2024/04/02/080000-japanese-reranker-tech-report/)