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Text Classification On Mteb

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
GTR-Large67.14MTEB: Massive Text Embedding Benchmark
ST5-XL72.84MTEB: Massive Text Embedding Benchmark
ST5-XXL73.42MTEB: Massive Text Embedding Benchmark
LaBSE62.71MTEB: Massive Text Embedding Benchmark
SGPT-125M-nli61.46MTEB: Massive Text Embedding Benchmark
SGPT-5.8B-nli70.14MTEB: Massive Text Embedding Benchmark
Ada Similarity70.44MTEB: Massive Text Embedding Benchmark
MiniLM-L663.06MTEB: Massive Text Embedding Benchmark
coCondenser-msmarco64.71MTEB: Massive Text Embedding Benchmark
ST5-Base69.81MTEB: Massive Text Embedding Benchmark
SGPT-BLOOM-7.1B-msmarco66.19MTEB: Massive Text Embedding Benchmark
MPNet-multilingual67.91MTEB: Massive Text Embedding Benchmark
SPECTER52.37MTEB: Massive Text Embedding Benchmark
GTR-XXL67.41MTEB: Massive Text Embedding Benchmark
MPNet65.07MTEB: Massive Text Embedding Benchmark
Komninos57.65MTEB: Massive Text Embedding Benchmark
SimCSE-BERT-unsup62.5MTEB: Massive Text Embedding Benchmark
BERT61.66MTEB: Massive Text Embedding Benchmark
MiniLM-L12-multilingual64.3MTEB: Massive Text Embedding Benchmark
LASER253.65MTEB: Massive Text Embedding Benchmark
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