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--- |
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tags: |
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- mteb |
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- deepsparse |
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model-index: |
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- name: all-MiniLM-L6-v2-ONNX |
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results: |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_counterfactual |
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name: MTEB AmazonCounterfactualClassification (en) |
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config: en |
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split: test |
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
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metrics: |
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- type: accuracy |
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value: 61.98507462686567 |
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- type: ap |
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value: 26.55307769885484 |
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- type: f1 |
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value: 56.576554278961936 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_polarity |
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name: MTEB AmazonPolarityClassification |
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config: default |
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split: test |
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
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metrics: |
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- type: accuracy |
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value: 64.75349999999999 |
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- type: ap |
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value: 60.39143292103214 |
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- type: f1 |
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value: 64.04365859718361 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_reviews_multi |
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name: MTEB AmazonReviewsClassification (en) |
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config: en |
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split: test |
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
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metrics: |
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- type: accuracy |
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value: 29.786 |
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- type: f1 |
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value: 29.084451746695827 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/arxiv-clustering-p2p |
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name: MTEB ArxivClusteringP2P |
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config: default |
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split: test |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
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metrics: |
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- type: v_measure |
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value: 46.191950998304165 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/arxiv-clustering-s2s |
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name: MTEB ArxivClusteringS2S |
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config: default |
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split: test |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
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metrics: |
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- type: v_measure |
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value: 36.91234422319347 |
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- task: |
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type: Reranking |
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dataset: |
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type: mteb/askubuntudupquestions-reranking |
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name: MTEB AskUbuntuDupQuestions |
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config: default |
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split: test |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
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metrics: |
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- type: map |
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value: 63.47681681237331 |
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- type: mrr |
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value: 77.08657608934617 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/banking77 |
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name: MTEB Banking77Classification |
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config: default |
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split: test |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
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metrics: |
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- type: accuracy |
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value: 82.92207792207792 |
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- type: f1 |
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value: 82.94749339753726 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/biorxiv-clustering-p2p |
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name: MTEB BiorxivClusteringP2P |
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config: default |
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split: test |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
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metrics: |
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- type: v_measure |
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value: 38.59023213662521 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/biorxiv-clustering-s2s |
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name: MTEB BiorxivClusteringS2S |
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config: default |
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split: test |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
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metrics: |
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- type: v_measure |
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value: 32.322412431760064 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/emotion |
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name: MTEB EmotionClassification |
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config: default |
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split: test |
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revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
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metrics: |
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- type: accuracy |
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value: 40.56 |
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- type: f1 |
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value: 36.87680162073889 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/imdb |
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name: MTEB ImdbClassification |
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config: default |
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split: test |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
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metrics: |
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- type: accuracy |
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value: 61.7084 |
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- type: ap |
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value: 57.21458607676914 |
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- type: f1 |
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value: 61.02407054427192 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/mtop_domain |
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name: MTEB MTOPDomainClassification (en) |
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config: en |
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split: test |
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
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metrics: |
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- type: accuracy |
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value: 91.44778841769266 |
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- type: f1 |
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value: 91.13853010701129 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/mtop_intent |
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name: MTEB MTOPIntentClassification (en) |
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config: en |
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split: test |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
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metrics: |
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- type: accuracy |
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value: 70.0341997264022 |
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- type: f1 |
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value: 52.81666890250234 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_massive_intent |
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name: MTEB MassiveIntentClassification (en) |
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config: en |
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split: test |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
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metrics: |
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- type: accuracy |
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value: 68.71553463349025 |
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- type: f1 |
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value: 66.96683401696183 |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_massive_scenario |
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name: MTEB MassiveScenarioClassification (en) |
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config: en |
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split: test |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
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metrics: |
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- type: accuracy |
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value: 74.38802958977807 |
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- type: f1 |
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value: 74.71954080631626 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/medrxiv-clustering-p2p |
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name: MTEB MedrxivClusteringP2P |
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config: default |
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split: test |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
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metrics: |
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- type: v_measure |
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value: 32.54905871377117 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/medrxiv-clustering-s2s |
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name: MTEB MedrxivClusteringS2S |
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config: default |
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split: test |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
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metrics: |
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- type: v_measure |
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value: 29.915756420522765 |
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- task: |
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type: Reranking |
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dataset: |
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type: mteb/mind_small |
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name: MTEB MindSmallReranking |
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config: default |
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split: test |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
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metrics: |
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- type: map |
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value: 30.79955258185344 |
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- type: mrr |
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value: 31.804908892048367 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/reddit-clustering |
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name: MTEB RedditClustering |
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config: default |
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split: test |
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revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
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metrics: |
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- type: v_measure |
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value: 45.62587554038637 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/reddit-clustering-p2p |
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name: MTEB RedditClusteringP2P |
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config: default |
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split: test |
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revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
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metrics: |
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- type: v_measure |
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value: 53.36681782941832 |
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- task: |
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type: Reranking |
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dataset: |
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type: mteb/scidocs-reranking |
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name: MTEB SciDocsRR |
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config: default |
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split: test |
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revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
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metrics: |
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- type: map |
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value: 87.11941318470207 |
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- type: mrr |
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value: 96.39370705547176 |
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- task: |
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type: PairClassification |
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dataset: |
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type: mteb/sprintduplicatequestions-pairclassification |
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name: MTEB SprintDuplicateQuestions |
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config: default |
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split: test |
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revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
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metrics: |
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- type: cos_sim_accuracy |
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value: 99.78514851485149 |
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- type: cos_sim_ap |
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value: 94.55063045792447 |
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- type: cos_sim_f1 |
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value: 89.01265822784809 |
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- type: cos_sim_precision |
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value: 90.15384615384615 |
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- type: cos_sim_recall |
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value: 87.9 |
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- type: dot_accuracy |
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value: 99.49405940594059 |
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- type: dot_ap |
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value: 80.75914927763819 |
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- type: dot_f1 |
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value: 73.77605428986914 |
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- type: dot_precision |
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value: 71.5898400752587 |
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- type: dot_recall |
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value: 76.1 |
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- type: euclidean_accuracy |
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value: 99.75247524752476 |
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- type: euclidean_ap |
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value: 92.29488639469919 |
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- type: euclidean_f1 |
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value: 87.00155359917142 |
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- type: euclidean_precision |
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value: 90.22556390977444 |
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- type: euclidean_recall |
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value: 84 |
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- type: manhattan_accuracy |
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value: 99.75247524752476 |
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- type: manhattan_ap |
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value: 92.35450475118803 |
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- type: manhattan_f1 |
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value: 86.98347107438016 |
|
- type: manhattan_precision |
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value: 89.95726495726495 |
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- type: manhattan_recall |
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value: 84.2 |
|
- type: max_accuracy |
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value: 99.78514851485149 |
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- type: max_ap |
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value: 94.55063045792447 |
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- type: max_f1 |
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value: 89.01265822784809 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/stackexchange-clustering |
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name: MTEB StackExchangeClustering |
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config: default |
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split: test |
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revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
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metrics: |
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- type: v_measure |
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value: 47.27910276403759 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/stackexchange-clustering-p2p |
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name: MTEB StackExchangeClusteringP2P |
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config: default |
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split: test |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
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metrics: |
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- type: v_measure |
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value: 34.25294402164424 |
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- task: |
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type: Reranking |
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dataset: |
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type: mteb/stackoverflowdupquestions-reranking |
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name: MTEB StackOverflowDupQuestions |
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config: default |
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split: test |
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revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
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metrics: |
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- type: map |
|
value: 50.76324846631252 |
|
- type: mrr |
|
value: 51.476370851370845 |
|
- task: |
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type: Classification |
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dataset: |
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type: mteb/toxic_conversations_50k |
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name: MTEB ToxicConversationsClassification |
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config: default |
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split: test |
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revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
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metrics: |
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- type: accuracy |
|
value: 65.3314 |
|
- type: ap |
|
value: 11.750907138159238 |
|
- type: f1 |
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value: 50.16451894112558 |
|
- task: |
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type: Classification |
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dataset: |
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type: mteb/tweet_sentiment_extraction |
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name: MTEB TweetSentimentExtractionClassification |
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config: default |
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split: test |
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revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
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metrics: |
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- type: accuracy |
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value: 52.4052065647991 |
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- type: f1 |
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value: 52.62055987764154 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/twentynewsgroups-clustering |
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name: MTEB TwentyNewsgroupsClustering |
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config: default |
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split: test |
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revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
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metrics: |
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- type: v_measure |
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value: 42.377081093709315 |
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- task: |
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type: PairClassification |
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dataset: |
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type: mteb/twittersemeval2015-pairclassification |
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name: MTEB TwitterSemEval2015 |
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config: default |
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split: test |
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revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
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metrics: |
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- type: cos_sim_accuracy |
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value: 84.1151576563152 |
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- type: cos_sim_ap |
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value: 67.85803861885576 |
|
- type: cos_sim_f1 |
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value: 64.08006919560113 |
|
- type: cos_sim_precision |
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value: 60.260283523123405 |
|
- type: cos_sim_recall |
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value: 68.41688654353561 |
|
- type: dot_accuracy |
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value: 78.92352625618406 |
|
- type: dot_ap |
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value: 48.288660712918215 |
|
- type: dot_f1 |
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value: 50.88373919874313 |
|
- type: dot_precision |
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value: 40.52236471692211 |
|
- type: dot_recall |
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value: 68.3641160949868 |
|
- type: euclidean_accuracy |
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value: 83.3581689217381 |
|
- type: euclidean_ap |
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value: 65.6113812580966 |
|
- type: euclidean_f1 |
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value: 62.50154340041981 |
|
- type: euclidean_precision |
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value: 58.737526108145744 |
|
- type: euclidean_recall |
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value: 66.78100263852242 |
|
- type: manhattan_accuracy |
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value: 83.38797162782382 |
|
- type: manhattan_ap |
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value: 65.46092597860742 |
|
- type: manhattan_f1 |
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value: 62.46687545169839 |
|
- type: manhattan_precision |
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value: 57.468971631205676 |
|
- type: manhattan_recall |
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value: 68.41688654353561 |
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- type: max_accuracy |
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value: 84.1151576563152 |
|
- type: max_ap |
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value: 67.85803861885576 |
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- type: max_f1 |
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value: 64.08006919560113 |
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- task: |
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type: PairClassification |
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dataset: |
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type: mteb/twitterurlcorpus-pairclassification |
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name: MTEB TwitterURLCorpus |
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config: default |
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split: test |
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revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
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metrics: |
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- type: cos_sim_accuracy |
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value: 88.2504754142896 |
|
- type: cos_sim_ap |
|
value: 84.70166722958382 |
|
- type: cos_sim_f1 |
|
value: 76.57057281916886 |
|
- type: cos_sim_precision |
|
value: 74.5226643346451 |
|
- type: cos_sim_recall |
|
value: 78.73421619956883 |
|
- type: dot_accuracy |
|
value: 85.16125276516475 |
|
- type: dot_ap |
|
value: 76.68984041722426 |
|
- type: dot_f1 |
|
value: 71.01665954720207 |
|
- type: dot_precision |
|
value: 66.04210805084746 |
|
- type: dot_recall |
|
value: 76.8016630736064 |
|
- type: euclidean_accuracy |
|
value: 85.97236775720883 |
|
- type: euclidean_ap |
|
value: 79.0002713617006 |
|
- type: euclidean_f1 |
|
value: 70.74245510090724 |
|
- type: euclidean_precision |
|
value: 68.14582292930014 |
|
- type: euclidean_recall |
|
value: 73.54481059439483 |
|
- type: manhattan_accuracy |
|
value: 85.94132029339853 |
|
- type: manhattan_ap |
|
value: 78.94101507696199 |
|
- type: manhattan_f1 |
|
value: 70.58084540348803 |
|
- type: manhattan_precision |
|
value: 67.85308326229043 |
|
- type: manhattan_recall |
|
value: 73.53711117955035 |
|
- type: max_accuracy |
|
value: 88.2504754142896 |
|
- type: max_ap |
|
value: 84.70166722958382 |
|
- type: max_f1 |
|
value: 76.57057281916886 |
|
--- |
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# all-MiniLM-L6-v2-ONNX |
