Text Classification On Mteb

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
ST5-XXL	73.42	MTEB: Massive Text Embedding Benchmark
ST5-XL	72.84	MTEB: Massive Text Embedding Benchmark
ST5-Large	72.31	MTEB: Massive Text Embedding Benchmark
Ada Similarity	70.44	MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-nli	70.14	MTEB: Massive Text Embedding Benchmark
ST5-Base	69.81	MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-msmarco	68.13	MTEB: Massive Text Embedding Benchmark
MPNet-multilingual	67.91	MTEB: Massive Text Embedding Benchmark
GTR-XXL	67.41	MTEB: Massive Text Embedding Benchmark
SimCSE-BERT-sup	67.32	MTEB: Massive Text Embedding Benchmark
GTR-Large	67.14	MTEB: Massive Text Embedding Benchmark
SGPT-2.7B-msmarco	67.13	MTEB: Massive Text Embedding Benchmark
GTR-XL	67.11	MTEB: Massive Text Embedding Benchmark
Contriever	66.68	MTEB: Massive Text Embedding Benchmark
SGPT-1.3B-msmarco	66.52	MTEB: Massive Text Embedding Benchmark
SGPT-BLOOM-7.1B-msmarco	66.19	MTEB: Massive Text Embedding Benchmark
GTR-Base	65.25	MTEB: Massive Text Embedding Benchmark
MPNet	65.07	MTEB: Massive Text Embedding Benchmark
coCondenser-msmarco	64.71	MTEB: Massive Text Embedding Benchmark
MiniLM-L12-multilingual	64.3	MTEB: Massive Text Embedding Benchmark

0 of 31 row(s) selected.