Text Classification On Mteb

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title
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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