Home / Models Model · Hugging Face intfloat/multilingual-e5-large Author / organization intfloat Downloads 6.8M (as reported by Hugging Face) Likes 1.3K Task feature-extraction Library sentence-transformers Created 30 June 2023 Last updated at source —
sentence-transformers pytorch onnx safetensors openvino xlm-roberta mteb Sentence Transformers sentence-similarity feature-extraction multilingual af am ar as az be bg bn br bs ca cs cy
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Reported results Dataset Metric Value MTEB AmazonCounterfactualClassification (de) · test accuracy 71.2206 MTEB AmazonCounterfactualClassification (de) · test ap 81.5576 MTEB AmazonCounterfactualClassification (de) · test f1 69.2827 MTEB AmazonCounterfactualClassification (en) · test accuracy 79.0597 MTEB AmazonCounterfactualClassification (en) · test ap 43.4866 MTEB AmazonCounterfactualClassification (en) · test f1 73.327 MTEB AmazonCounterfactualClassification (en-ext) · test accuracy 80.4198 MTEB AmazonCounterfactualClassification (en-ext) · test ap 29.3488 MTEB AmazonCounterfactualClassification (en-ext) · test f1 67.6248 MTEB AmazonCounterfactualClassification (ja) · test accuracy 77.8373 MTEB AmazonCounterfactualClassification (ja) · test ap 26.5576 MTEB AmazonCounterfactualClassification (ja) · test f1 64.9662 MTEB AmazonPolarityClassification · test accuracy 93.4899 MTEB AmazonPolarityClassification · test ap 90.9876 MTEB AmazonPolarityClassification · test f1 93.4855 MTEB AmazonReviewsClassification (de) · test accuracy 45.4
Reported by the model's authors in the model card. Not independently verified, and setups differ between authors, so scores from different models are not always comparable. Each value links to its source.
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