Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -5,6 +5,7 @@
|
|
| 5 |
|
| 6 |
|
| 7 |
|
|
|
|
| 8 |
dataset_info:
|
| 9 |
features:
|
| 10 |
- name: id
|
|
@@ -79,7 +80,7 @@ JQaRA は質問に対して、候補となる 100 件のデータ(一件以上
|
|
| 79 |
|
| 80 |
以下はさまざまなモデルの評価結果です。評価は nDCG@10 以外にも、参考まで MRR@10 の数値も掲載しています。
|
| 81 |
|
| 82 |
-
#### 文ベクトルモデル
|
| 83 |
|
| 84 |
| model_names | ndcg@10 | mrr@10 |
|
| 85 |
| :------------------------------------------------------------------------------ | ------: | -----: |
|
|
@@ -92,7 +93,12 @@ JQaRA は質問に対して、候補となる 100 件のデータ(一件以上
|
|
| 92 |
| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.554 | 0.7988 |
|
| 93 |
| [multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) | 0.4917 | 0.7291 |
|
| 94 |
| [GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.3085 | 0.5179 |
|
|
|
|
| 95 |
| [text-embedding-3-small](https://platform.openai.com/docs/guides/embeddings) | 0.3881 | 0.6107 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 96 |
|
| 97 |
#### ColBERT モデル
|
| 98 |
|
|
@@ -120,6 +126,10 @@ JQaRA は質問に対して、候補となる 100 件のデータ(一件以上
|
|
| 120 |
| [bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base) | 0.2445 | 0.4378 |
|
| 121 |
| [bge-reranker-large](https://huggingface.co/BAAI/bge-reranker-large) | 0.4718 | 0.7108 |
|
| 122 |
| [cross-encoder-mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1) | 0.5588 | 0.8107 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
|
| 124 |
#### その他モデル
|
| 125 |
|
|
|
|
| 5 |
|
| 6 |
|
| 7 |
|
| 8 |
+
|
| 9 |
dataset_info:
|
| 10 |
features:
|
| 11 |
- name: id
|
|
|
|
| 80 |
|
| 81 |
以下はさまざまなモデルの評価結果です。評価は nDCG@10 以外にも、参考まで MRR@10 の数値も掲載しています。
|
| 82 |
|
| 83 |
+
#### 密な文ベクトルモデル
|
| 84 |
|
| 85 |
| model_names | ndcg@10 | mrr@10 |
|
| 86 |
| :------------------------------------------------------------------------------ | ------: | -----: |
|
|
|
|
| 93 |
| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 0.554 | 0.7988 |
|
| 94 |
| [multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) | 0.4917 | 0.7291 |
|
| 95 |
| [GLuCoSE-base-ja](https://huggingface.co/pkshatech/GLuCoSE-base-ja) | 0.3085 | 0.5179 |
|
| 96 |
+
| [GLuCoSE-base-ja-v2](https://huggingface.co/pkshatech/GLuCoSE-base-ja-v2) | 0.606 | 0.8359 |
|
| 97 |
| [text-embedding-3-small](https://platform.openai.com/docs/guides/embeddings) | 0.3881 | 0.6107 |
|
| 98 |
+
| [ruri-large](https://huggingface.co/cl-nagoya/ruri-large) | 0.6287 | 0.8418 |
|
| 99 |
+
| [ruri-base](https://huggingface.co/cl-nagoya/ruri-base) | 0.5833 | 0.8093 |
|
| 100 |
+
| [ruri-small](https://huggingface.co/cl-nagoya/ruri-small) | 0.5359 | 0.7661 |
|
| 101 |
+
|
| 102 |
|
| 103 |
#### ColBERT モデル
|
| 104 |
|
|
|
|
| 126 |
| [bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base) | 0.2445 | 0.4378 |
|
| 127 |
| [bge-reranker-large](https://huggingface.co/BAAI/bge-reranker-large) | 0.4718 | 0.7108 |
|
| 128 |
| [cross-encoder-mmarco-mMiniLMv2-L12-H384-v1](https://huggingface.co/corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1) | 0.5588 | 0.8107 |
|
| 129 |
+
| [ruri-reranker-small](https://huggingface.co/cl-nagoya/ruri-reranker-small) | 0.6453 | 0.8637 |
|
| 130 |
+
| [ruri-reranker-base](https://huggingface.co/cl-nagoya/ruri-reranker-base) | 0.7429 | 0.9113 |
|
| 131 |
+
| [ruri-reranker-large](https://huggingface.co/cl-nagoya/ruri-reranker-large) | 0.7712 | 0.9098 |
|
| 132 |
+
|
| 133 |
|
| 134 |
#### その他モデル
|
| 135 |
|