Semantic Textual Similarity On Sts12
평가 지표
Spearman Correlation
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Spearman Correlation |
|---|---|
| scaling-sentence-embeddings-with-large | 0.7972 |
| scaling-sentence-embeddings-with-large | 0.8020 |
| generating-datasets-with-pretrained-language | 0.7027 |
| sentence-bert-sentence-embeddings-using | 0.7453 |
| trans-encoder-unsupervised-sentence-pair | 0.7819 |
| trans-encoder-unsupervised-sentence-pair | 0.7828 |
| simcse-simple-contrastive-learning-of | 0.7016 |
| angle-optimized-text-embeddings | 0.7868 |
| fast-effective-and-self-supervised | 0.674 |
| diffcse-difference-based-contrastive-learning | 0.7005 |
| scaling-sentence-embeddings-with-large | 0.7949 |
| deep-continuous-prompt-for-contrastive-1 | 0.7956 |
| diffcse-difference-based-contrastive-learning | 0.7228 |
| angle-optimized-text-embeddings | 0.7868 |
| trans-encoder-unsupervised-sentence-pair | 0.7637 |
| trans-encoder-unsupervised-sentence-pair | 0.7509 |
| simcse-simple-contrastive-learning-of | 0.7746 |
| fast-effective-and-self-supervised | 0.648 |
| an-unsupervised-sentence-embedding-method | 0.5677 |
| on-the-sentence-embeddings-from-pre-trained | 0.6520 |