Semantic Textual Similarity On Sts13
Metrics
Spearman Correlation
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Spearman Correlation |
|---|---|
| simcse-simple-contrastive-learning-of | 0.8136 |
| diffcse-difference-based-contrastive-learning | 0.8443 |
| trans-encoder-unsupervised-sentence-pair | 0.8559 |
| scaling-sentence-embeddings-with-large | 0.9025 |
| trans-encoder-unsupervised-sentence-pair | 0.8831 |
| sentence-bert-sentence-embeddings-using | 0.7846 |
| scaling-sentence-embeddings-with-large | 0.9024 |
| trans-encoder-unsupervised-sentence-pair | 0.8851 |
| deep-continuous-prompt-for-contrastive-1 | 0.8897 |
| angle-optimized-text-embeddings | 0.9056 |
| simcse-simple-contrastive-learning-of | 0.8727 |
| on-the-sentence-embeddings-from-pre-trained | 0.7339 |
| fast-effective-and-self-supervised | 0.819 |
| generating-datasets-with-pretrained-language | 0.8126 |
| diffcse-difference-based-contrastive-learning | 0.8343 |
| angle-optimized-text-embeddings | 0.9058 |
| trans-encoder-unsupervised-sentence-pair | 0.8831 |
| fast-effective-and-self-supervised | 0.796 |
| simcse-simple-contrastive-learning-of | 0.8241 |
| trans-encoder-unsupervised-sentence-pair | 0.851 |
| an-unsupervised-sentence-embedding-method | 0.6924 |
| scaling-sentence-embeddings-with-large | 0.8964 |