Semantic Textual Similarity On Mteb

Spearman Correlation

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Spearman Correlation	Paper Title	Repository
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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