Text Clustering On Mteb

V-Measure

Results

Performance results of various models on this benchmark

		Paper Title
ST5-XXL	43.71	MTEB: Massive Text Embedding Benchmark
MPNet	43.69	MTEB: Massive Text Embedding Benchmark
GTR-XXL	42.42	MTEB: Massive Text Embedding Benchmark
MiniLM-L6	42.35	MTEB: Massive Text Embedding Benchmark
ST5-XL	42.34	MTEB: Massive Text Embedding Benchmark
MiniLM-L12	41.81	MTEB: Massive Text Embedding Benchmark
ST5-Large	41.65	MTEB: Massive Text Embedding Benchmark
GTR-Large	41.6	MTEB: Massive Text Embedding Benchmark
GTR-XL	41.51	MTEB: Massive Text Embedding Benchmark
Contriever	41.1	MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-msmarco	40.35	MTEB: Massive Text Embedding Benchmark
ST5-Base	40.21	MTEB: Massive Text Embedding Benchmark
SGPT-1.3B-msmarco	39.92	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
GTR-Base	38.63	MTEB: Massive Text Embedding Benchmark
MPNet-multilingual	38.4	MTEB: Massive Text Embedding Benchmark
coCondenser-msmarco	37.64	MTEB: Massive Text Embedding Benchmark
Ada Similarity	37.52	MTEB: Massive Text Embedding Benchmark
MiniLM-L12-multilingual	37.14	MTEB: Massive Text Embedding Benchmark

0 of 31 row(s) selected.