Semantic Textual Similarity On Sick
評価指標
Spearman Correlation
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Spearman Correlation |
|---|---|
| trans-encoder-unsupervised-sentence-pair | 0.7133 |
| fast-effective-and-self-supervised | 0.706 |
| sentence-bert-sentence-embeddings-using | 0.7429 |
| trans-encoder-unsupervised-sentence-pair | 0.7163 |
| simcse-simple-contrastive-learning-of | 0.8195 |
| sentence-bert-sentence-embeddings-using | 0.7446 |
| generating-datasets-with-pretrained-language | 0.6809 |
| deep-continuous-prompt-for-contrastive-1 | 0.8243 |
| trans-encoder-unsupervised-sentence-pair | 0.6952 |
| rematch-robust-and-efficient-matching-of | 0.6772 |
| sentence-bert-sentence-embeddings-using | 0.7291 |
| sentence-bert-sentence-embeddings-using | 0.7375 |
| an-unsupervised-sentence-embedding-method | 0.6425 |
| generating-datasets-with-pretrained-language | 0.7426 |
| scaling-sentence-embeddings-with-large | 0.8206 |
| scaling-sentence-embeddings-with-large | 0.8129 |
| fast-effective-and-self-supervised | 0.703 |
| on-the-sentence-embeddings-from-pre-trained | 0.6544 |
| sentence-bert-sentence-embeddings-using | 0.7462 |
| trans-encoder-unsupervised-sentence-pair | 0.7276 |
| trans-encoder-unsupervised-sentence-pair | 0.7192 |
| scaling-sentence-embeddings-with-large | 0.8238 |