Semantic Textual Similarity On Mteb

Spearman Correlation

Results

Performance results of various models on this benchmark

Model Name	Spearman Correlation	Paper Title
Ada Similarity	78.6	MTEB: Massive Text Embedding Benchmark
GTR-Large	78.19	MTEB: Massive Text Embedding Benchmark
SGPT-2.7B-msmarco	76.83	MTEB: Massive Text Embedding Benchmark
GTR-Base	77.07	MTEB: Massive Text Embedding Benchmark
ST5-XXL	82.63	MTEB: Massive Text Embedding Benchmark
SimCSE-BERT-unsup	74.33	MTEB: Massive Text Embedding Benchmark
Komninos	62.47	MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-nli	80.53	MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-msmarco	78.1	MTEB: Massive Text Embedding Benchmark
SPECTER	61.02	MTEB: Massive Text Embedding Benchmark
GTR-XXL	78.38	MTEB: Massive Text Embedding Benchmark
MiniLM-L6	78.92	MTEB: Massive Text Embedding Benchmark
SimCSE-BERT-sup	79.12	MTEB: Massive Text Embedding Benchmark
LASER2	55.32	MTEB: Massive Text Embedding Benchmark
coCondenser-msmarco	76.47	MTEB: Massive Text Embedding Benchmark
GTR-XL	77.8	MTEB: Massive Text Embedding Benchmark
AnglE-UAE	84.54	AnglE-optimized Text Embeddings
ST5-Large	81.83	MTEB: Massive Text Embedding Benchmark
LaBSE	70.8	MTEB: Massive Text Embedding Benchmark
MPNet	80.28	MTEB: Massive Text Embedding Benchmark

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