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--- |
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tags: |
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- mteb |
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model-index: |
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- name: outputs |
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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: 74.77611940298507 |
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- type: ap |
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value: 38.659370276865076 |
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- type: f1 |
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value: 69.18624151883213 |
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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: 71.88822499999999 |
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- type: ap |
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value: 65.7475853706323 |
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- type: f1 |
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value: 71.64345959951606 |
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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: 36.702 |
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- type: f1 |
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value: 36.486058675686145 |
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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: 59.82383145710488 |
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- type: mrr |
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value: 73.21857274765863 |
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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: 81.37337662337663 |
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- type: f1 |
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value: 81.289348604581 |
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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: 42.6 |
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- type: f1 |
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value: 38.82966298132199 |
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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: 63.95960000000001 |
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- type: ap |
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value: 59.154441687893424 |
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- type: f1 |
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value: 63.51742877753398 |
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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: 90.19151846785226 |
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- type: f1 |
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value: 89.77813606418552 |
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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: 69.49612403100775 |
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- type: f1 |
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value: 51.78231643994976 |
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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: 68.56422326832549 |
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- type: f1 |
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value: 66.26365253593288 |
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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: 74.1492938802959 |
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- type: f1 |
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value: 73.70903086994016 |
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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: 31.3771165511325 |
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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: 30.27581967398213 |
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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: 50.511386972203965 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sickr-sts |
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name: MTEB SICK-R |
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config: default |
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split: test |
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revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
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metrics: |
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- type: cos_sim_spearman |
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value: 79.98414510640178 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts12-sts |
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name: MTEB STS12 |
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config: default |
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split: test |
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revision: a0d554a64d88156834ff5ae9920b964011b16384 |
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metrics: |
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- type: cos_sim_spearman |
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value: 77.64204203564495 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts13-sts |
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name: MTEB STS13 |
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config: default |
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split: test |
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revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
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metrics: |
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- type: cos_sim_spearman |
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value: 81.22687311442783 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts14-sts |
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name: MTEB STS14 |
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config: default |
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split: test |
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revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
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metrics: |
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- type: cos_sim_spearman |
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value: 77.93754398407367 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts15-sts |
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name: MTEB STS15 |
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config: default |
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split: test |
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revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
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metrics: |
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- type: cos_sim_spearman |
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value: 86.87196133587727 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts16-sts |
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name: MTEB STS16 |
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config: default |
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split: test |
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revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
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metrics: |
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- type: cos_sim_spearman |
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value: 83.30965159294298 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts17-crosslingual-sts |
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name: MTEB STS17 (en-en) |
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config: en-en |
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split: test |
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revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
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metrics: |
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- type: cos_sim_spearman |
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value: 87.35073354189797 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/sts22-crosslingual-sts |
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name: MTEB STS22 (en) |
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config: en |
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split: test |
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revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 |
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metrics: |
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- type: cos_sim_spearman |
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value: 60.99179493644602 |
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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: 99.74257425742574 |
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- type: cos_sim_ap |
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value: 92.97872460676444 |
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- type: cos_sim_f1 |
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value: 86.72114402451481 |
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- type: cos_sim_precision |
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value: 88.62212943632568 |
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- type: cos_sim_recall |
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value: 84.89999999999999 |
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- type: dot_accuracy |
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value: 99.390099009901 |
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- type: dot_ap |
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value: 72.39239550100473 |
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- type: dot_f1 |
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value: 68.02325581395348 |
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- type: dot_precision |
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value: 65.97744360902256 |
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- type: dot_recall |
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value: 70.19999999999999 |
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- type: euclidean_accuracy |
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value: 99.73762376237623 |
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- type: euclidean_ap |
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value: 92.24916685896034 |
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- type: euclidean_f1 |
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value: 86.27654065251166 |
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- type: euclidean_precision |
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value: 89.47368421052632 |
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- type: euclidean_recall |
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value: 83.3 |
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- type: manhattan_accuracy |
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value: 99.72277227722772 |
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- type: manhattan_ap |
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value: 91.62644605063902 |
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- type: manhattan_f1 |
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value: 85.31395952257395 |
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- type: manhattan_precision |
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value: 88.67313915857605 |
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- type: manhattan_recall |
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value: 82.19999999999999 |
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- type: max_accuracy |
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value: 99.74257425742574 |
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- type: max_ap |
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value: 92.97872460676444 |
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- type: max_f1 |
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value: 86.72114402451481 |
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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: 51.78651344887864 |
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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: 30.15363599595173 |
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- task: |
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type: Summarization |
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dataset: |
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type: mteb/summeval |
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name: MTEB SummEval |
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config: default |
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split: test |
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revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
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metrics: |
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- type: cos_sim_pearson |
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value: 31.52696387178271 |
|
- type: cos_sim_spearman |
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value: 32.47398402334527 |
|
- type: dot_pearson |
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value: 26.0757353734924 |
|
- type: dot_spearman |
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value: 26.575602924656312 |
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- 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: 69.85140000000001 |
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- type: ap |
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value: 14.001243881017503 |
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- type: f1 |
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value: 53.912015688441606 |
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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: 41.37699125904245 |
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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: 82.57733802229242 |
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- type: cos_sim_ap |
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value: 62.440909740391874 |
|
- type: cos_sim_f1 |
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value: 57.90203327171904 |
|
- type: cos_sim_precision |
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value: 51.50020550760378 |
|
- type: cos_sim_recall |
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value: 66.12137203166228 |
|
- type: dot_accuracy |
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value: 78.49436728854981 |
|
- type: dot_ap |
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value: 42.7253590301706 |
|
- type: dot_f1 |
|
value: 44.52768134478349 |
|
- type: dot_precision |
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value: 34.05533817775294 |
|
- type: dot_recall |
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value: 64.30079155672823 |
|
- type: euclidean_accuracy |
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value: 82.58925910472671 |
|
- type: euclidean_ap |
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value: 61.9842141906814 |
|
- type: euclidean_f1 |
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value: 57.77560259390677 |
|
- type: euclidean_precision |
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value: 53.86721423682409 |
|
- type: euclidean_recall |
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value: 62.29551451187335 |
|
- type: manhattan_accuracy |
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value: 82.684627764201 |
|
- type: manhattan_ap |
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value: 62.47855660560243 |
|
- type: manhattan_f1 |
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value: 58.2642070075523 |
|
- type: manhattan_precision |
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value: 54.88686727315139 |
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- type: manhattan_recall |
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value: 62.0844327176781 |
|
- type: max_accuracy |
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value: 82.684627764201 |
|
- type: max_ap |
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value: 62.47855660560243 |
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- type: max_f1 |
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value: 58.2642070075523 |
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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: 88.09911902821437 |
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- type: cos_sim_ap |
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value: 84.09731023646366 |
|
- type: cos_sim_f1 |
|
value: 76.33028879931959 |
|
- type: cos_sim_precision |
|
value: 73.43294201351831 |
|
- type: cos_sim_recall |
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value: 79.46566060979366 |
|
- type: dot_accuracy |
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value: 80.50801412659604 |
|
- type: dot_ap |
|
value: 63.063159135876546 |
|
- type: dot_f1 |
|
value: 60.9384164222874 |
|
- type: dot_precision |
|
value: 52.82453960004519 |
|
- type: dot_recall |
|
value: 71.99722821065599 |
|
- type: euclidean_accuracy |
|
value: 87.96522684053247 |
|
- type: euclidean_ap |
|
value: 83.71026431772258 |
|
- type: euclidean_f1 |
|
value: 75.9441737792593 |
|
- type: euclidean_precision |
|
value: 72.43379218782755 |
|
- type: euclidean_recall |
|
value: 79.81213427779488 |
|
- type: manhattan_accuracy |
|
value: 87.96716730702062 |
|
- type: manhattan_ap |
|
value: 83.71499169638365 |
|
- type: manhattan_f1 |
|
value: 75.90983888867629 |
|
- type: manhattan_precision |
|
value: 75.46222323670395 |
|
- type: manhattan_recall |
|
value: 76.36279642747151 |
|
- type: max_accuracy |
|
value: 88.09911902821437 |
|
- type: max_ap |
|
value: 84.09731023646366 |
|
- type: max_f1 |
|
value: 76.33028879931959 |
|
--- |
