Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Benchmark Model Rank Results
semantic-textual-similarity-on-sickSentenceBERT#6Spearman Correlation: 0.7462
semantic-textual-similarity-on-sickSRoBERTa-NLI-base#7Spearman Correlation: 0.7446
semantic-textual-similarity-on-sickSRoBERTa-NLI-large#8Spearman Correlation: 0.7429
semantic-textual-similarity-on-sickSBERT-NLI-large#10Spearman Correlation: 0.7375
semantic-textual-similarity-on-sickSBERT-NLI-base#11Spearman Correlation: 0.7291
semantic-textual-similarity-on-sts-benchmarkSRoBERTa-NLI-STSb-large#40Spearman Correlation: 0.8615
semantic-textual-similarity-on-sts-benchmarkSBERT-STSb-base#41Spearman Correlation: 0.8479
semantic-textual-similarity-on-sts-benchmarkSBERT-STSb-large#43Spearman Correlation: 0.8445
semantic-textual-similarity-on-sts-benchmarkSBERT-NLI-large#46Spearman Correlation: 0.79
semantic-textual-similarity-on-sts-benchmarkSRoBERTa-NLI-base#49Spearman Correlation: 0.7777
semantic-textual-similarity-on-sts-benchmarkSBERT-NLI-base#50Spearman Correlation: 0.7703
semantic-textual-similarity-on-sts12SRoBERTa-NLI-large#12Spearman Correlation: 0.7453
semantic-textual-similarity-on-sts13SBERT-NLI-large#20Spearman Correlation: 0.7846
semantic-textual-similarity-on-sts14SBERT-NLI-large#16Spearman Correlation: 0.7490000000000001
semantic-textual-similarity-on-sts15SRoBERTa-NLI-large#15Spearman Correlation: 0.8185
semantic-textual-similarity-on-sts16SRoBERTa-NLI-large#18Spearman Correlation: 0.7682