SimCSE: Simple Contrastive Learning of Sentence Embeddings

Benchmark Model Rank Results
semantic-textual-similarity-on-sickSimCSE-RoBERTalarge#4Spearman Correlation: 0.8195
semantic-textual-similarity-on-sts-benchmarkSimCSE-RoBERTalarge#34Spearman Correlation: 0.867
semantic-textual-similarity-on-sts12SimCSE-RoBERTa-large#9Spearman Correlation: 0.7746
semantic-textual-similarity-on-sts12SimCSE-RoBERTa-base#15Spearman Correlation: 0.7016
semantic-textual-similarity-on-sts13SimCSE-RoBERTa-large#10Spearman Correlation: 0.8727
semantic-textual-similarity-on-sts13SimCSE-BERT-base#15Spearman Correlation: 0.8241
semantic-textual-similarity-on-sts13SimCSE-RoBERTa-base#17Spearman Correlation: 0.8136
semantic-textual-similarity-on-sts14SimCSE-RoBERTalarge#8Spearman Correlation: 0.8236
semantic-textual-similarity-on-sts15SimCSE-RoBERTalarge#9Spearman Correlation: 0.8666
semantic-textual-similarity-on-sts16SimCSE-RoBERTalarge#10Spearman Correlation: 0.8393