Semantic Textual Similarity On Sts14
Métriques
Spearman Correlation
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Spearman Correlation |
|---|---|
| diffcse-difference-based-contrastive-learning | 0.7647 |
| angle-optimized-text-embeddings | 0.8579 |
| simcse-simple-contrastive-learning-of | 0.8236 |
| on-the-sentence-embeddings-from-pre-trained | 0.6942 |
| scaling-sentence-embeddings-with-large | 0.8534 |
| an-unsupervised-sentence-embedding-method | 0.6121 |
| trans-encoder-unsupervised-sentence-pair | 0.8137 |
| angle-optimized-text-embeddings | 0.8689 |
| generating-datasets-with-pretrained-language | 0.7125 |
| fast-effective-and-self-supervised | 0.713 |
| fast-effective-and-self-supervised | 0.732 |
| trans-encoder-unsupervised-sentence-pair | 0.8176 |
| diffcse-difference-based-contrastive-learning | 0.7549 |
| trans-encoder-unsupervised-sentence-pair | 0.8194 |
| sentence-bert-sentence-embeddings-using | 0.7490000000000001 |
| trans-encoder-unsupervised-sentence-pair | 0.7903 |
| deep-continuous-prompt-for-contrastive-1 | 0.8381 |
| trans-encoder-unsupervised-sentence-pair | 0.779 |
| scaling-sentence-embeddings-with-large | 0.8480 |
| angle-optimized-text-embeddings | 0.8549 |
| scaling-sentence-embeddings-with-large | 0.8585 |