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Text Retrieval On Mteb

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nDCG@10

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
nDCG@10
Paper TitleRepository
BERT10.59MTEB: Massive Text Embedding Benchmark
ST5-XL38.47MTEB: Massive Text Embedding Benchmark
MPNet-multilingual35.34MTEB: Massive Text Embedding Benchmark
SPECTER15.88MTEB: Massive Text Embedding Benchmark
MiniLM-L1242.69MTEB: Massive Text Embedding Benchmark
GTR-Large47.42MTEB: Massive Text Embedding Benchmark
coCondenser-msmarco32.96MTEB: Massive Text Embedding Benchmark
ST5-Large36.71MTEB: Massive Text Embedding Benchmark
Glove21.62MTEB: Massive Text Embedding Benchmark
LaBSE18.99MTEB: Massive Text Embedding Benchmark
MiniLM-L641.95MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-nli32.34MTEB: Massive Text Embedding Benchmark
MPNet43.81MTEB: Massive Text Embedding Benchmark
GTR-Base44.67MTEB: Massive Text Embedding Benchmark
GTR-XXL48.48MTEB: Massive Text Embedding Benchmark
LASER27.93MTEB: Massive Text Embedding Benchmark
ST5-XXL42.24MTEB: Massive Text Embedding Benchmark
SGPT-BLOOM-7.1B-msmarco48.21MTEB: Massive Text Embedding Benchmark
SGPT-1.3B-msmarco44.49MTEB: Massive Text Embedding Benchmark
GTR-XL47.96MTEB: Massive Text Embedding Benchmark
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