Text Classification On Mteb

Accuracy

Results

Performance results of various models on this benchmark

Model Name	Accuracy	Paper Title	Repository
GTR-Large	67.14	MTEB: Massive Text Embedding Benchmark	-
ST5-XL	72.84	MTEB: Massive Text Embedding Benchmark	-
ST5-XXL	73.42	MTEB: Massive Text Embedding Benchmark	-
LaBSE	62.71	MTEB: Massive Text Embedding Benchmark	-
SGPT-125M-nli	61.46	MTEB: Massive Text Embedding Benchmark	-
SGPT-5.8B-nli	70.14	MTEB: Massive Text Embedding Benchmark	-
Ada Similarity	70.44	MTEB: Massive Text Embedding Benchmark	-
MiniLM-L6	63.06	MTEB: Massive Text Embedding Benchmark	-
coCondenser-msmarco	64.71	MTEB: Massive Text Embedding Benchmark	-
ST5-Base	69.81	MTEB: Massive Text Embedding Benchmark	-
SGPT-BLOOM-7.1B-msmarco	66.19	MTEB: Massive Text Embedding Benchmark	-
MPNet-multilingual	67.91	MTEB: Massive Text Embedding Benchmark	-
SPECTER	52.37	MTEB: Massive Text Embedding Benchmark	-
GTR-XXL	67.41	MTEB: Massive Text Embedding Benchmark	-
MPNet	65.07	MTEB: Massive Text Embedding Benchmark	-
Komninos	57.65	MTEB: Massive Text Embedding Benchmark	-
SimCSE-BERT-unsup	62.5	MTEB: Massive Text Embedding Benchmark	-
BERT	61.66	MTEB: Massive Text Embedding Benchmark	-
MiniLM-L12-multilingual	64.3	MTEB: Massive Text Embedding Benchmark	-
LASER2	53.65	MTEB: Massive Text Embedding Benchmark	-

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