Text Clustering On Mteb

V-Measure

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	V-Measure	Paper Title
SPECTER	34.06	MTEB: Massive Text Embedding Benchmark
coCondenser-msmarco	37.64	MTEB: Massive Text Embedding Benchmark
ST5-XL	42.34	MTEB: Massive Text Embedding Benchmark
SGPT-1.3B-msmarco	39.92	MTEB: Massive Text Embedding Benchmark
GTR-XL	41.51	MTEB: Massive Text Embedding Benchmark
ST5-Base	40.21	MTEB: Massive Text Embedding Benchmark
SGPT-125M-msmarco	35.79	MTEB: Massive Text Embedding Benchmark
MPNet-multilingual	38.4	MTEB: Massive Text Embedding Benchmark
SGPT-125M-nli	30.95	MTEB: Massive Text Embedding Benchmark
Komninos	26.57	MTEB: Massive Text Embedding Benchmark
SGPT-2.7B-msmarco	39.83	MTEB: Massive Text Embedding Benchmark
SGPT-BLOOM-7.1B-msmarco	38.93	MTEB: Massive Text Embedding Benchmark
LASER2	15.28	MTEB: Massive Text Embedding Benchmark
ST5-Large	41.65	MTEB: Massive Text Embedding Benchmark
SimCSE-BERT-unsup	29.04	MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-nli	36.98	MTEB: Massive Text Embedding Benchmark
Glove	27.73	MTEB: Massive Text Embedding Benchmark
MiniLM-L12	41.81	MTEB: Massive Text Embedding Benchmark
LaBSE	29.55	MTEB: Massive Text Embedding Benchmark
MiniLM-L6	42.35	MTEB: Massive Text Embedding Benchmark

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