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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: llama-tiny |
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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: 84.82089552238806 |
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- type: ap |
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value: 52.244288754498804 |
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- type: f1 |
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value: 79.35565129121834 |
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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: 76.88005 |
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- type: ap |
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value: 71.7558743112296 |
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- type: f1 |
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value: 76.75929709152336 |
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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: 36.716 |
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- type: f1 |
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value: 36.331656620051916 |
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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: 30.154098978087656 |
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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: 48.655981827941844 |
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- type: mrr |
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value: 62.225959635931936 |
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- task: |
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type: STS |
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dataset: |
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type: mteb/biosses-sts |
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name: MTEB BIOSSES |
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config: default |
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split: test |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
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metrics: |
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- type: cos_sim_pearson |
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value: 69.1874521857414 |
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- type: cos_sim_spearman |
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value: 67.84973877341001 |
|
- type: euclidean_pearson |
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value: 63.36571115098326 |
|
- type: euclidean_spearman |
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value: 63.01529126784642 |
|
- type: manhattan_pearson |
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value: 63.691756204527984 |
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- type: manhattan_spearman |
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value: 63.5966298152444 |
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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: 24.29369891574357 |
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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: 41.93000000000001 |
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- type: f1 |
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value: 38.45098233405931 |
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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: 87.95257637938899 |
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- type: f1 |
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value: 87.25507653572913 |
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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: 78.43365253077977 |
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- type: f1 |
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value: 55.64695289940465 |
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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: 65.90786819098857 |
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- type: f1 |
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value: 62.35389823052779 |
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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: 67.61600537995966 |
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- type: f1 |
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value: 66.37808715079163 |
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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: 23.00601527438721 |
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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: 21.286029353821007 |
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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_pearson |
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value: 61.34352630182002 |
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- type: cos_sim_spearman |
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value: 57.3159446726199 |
|
- type: euclidean_pearson |
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value: 57.77383201309595 |
|
- type: euclidean_spearman |
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value: 56.52916341448532 |
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- type: manhattan_pearson |
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value: 57.81159634093376 |
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- type: manhattan_spearman |
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value: 56.58929614335256 |
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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_pearson |
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value: 42.43826552918454 |
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- type: cos_sim_spearman |
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value: 42.79832498565007 |
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- type: euclidean_pearson |
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value: 43.28436689786081 |
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- type: euclidean_spearman |
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value: 41.85722944201275 |
|
- type: manhattan_pearson |
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value: 43.603582859415155 |
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- type: manhattan_spearman |
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value: 42.03496823632042 |
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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_pearson |
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value: 58.098123831839864 |
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- type: cos_sim_spearman |
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value: 58.76942124480372 |
|
- type: euclidean_pearson |
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value: 56.97457224841097 |
|
- type: euclidean_spearman |
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value: 57.18340478354308 |
|
- type: manhattan_pearson |
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value: 57.31295064497741 |
|
- type: manhattan_spearman |
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value: 57.493896474014484 |
|
- 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_pearson |
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value: 56.49517429141376 |
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- type: cos_sim_spearman |
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value: 53.35774064269118 |
|
- type: euclidean_pearson |
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value: 55.40952387726341 |
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- type: euclidean_spearman |
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value: 53.229797688882066 |
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- type: manhattan_pearson |
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value: 55.74150917721058 |
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- type: manhattan_spearman |
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value: 53.54718901411597 |
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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_pearson |
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value: 68.72772088428103 |
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- type: cos_sim_spearman |
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value: 69.22566145584167 |
|
- type: euclidean_pearson |
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value: 65.30796876669609 |
|
- type: euclidean_spearman |
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value: 67.10758913762312 |
|
- type: manhattan_pearson |
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value: 65.57806238071112 |
|
- type: manhattan_spearman |
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value: 67.39903132713971 |
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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_pearson |
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value: 58.979556654868105 |
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- type: cos_sim_spearman |
|
value: 58.80648121538181 |
|
- type: euclidean_pearson |
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value: 56.6389358556767 |
|
- type: euclidean_spearman |
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value: 56.57842223984996 |
|
- type: manhattan_pearson |
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value: 56.782732319570805 |
|
- type: manhattan_spearman |
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value: 56.722675792288754 |
|
- 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_pearson |
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value: 67.99528891263441 |
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- type: cos_sim_spearman |
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value: 68.604405659815 |
|
- type: euclidean_pearson |
|
value: 65.37326812628687 |
|
- type: euclidean_spearman |
|
value: 67.71917884234688 |
|
- type: manhattan_pearson |
|
value: 65.49059918281816 |
|
- type: manhattan_spearman |
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value: 67.80712877323259 |
|
- task: |
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type: STS |
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dataset: |
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type: mteb/stsbenchmark-sts |
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name: MTEB STSBenchmark |
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config: default |
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split: test |
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revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
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metrics: |
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- type: cos_sim_pearson |
|
value: 54.312560058176615 |
|
- type: cos_sim_spearman |
|
value: 52.66713108890498 |
|
- type: euclidean_pearson |
|
value: 53.872433462935966 |
|
- type: euclidean_spearman |
|
value: 53.68953787551416 |
|
- type: manhattan_pearson |
|
value: 54.26767414800746 |
|
- type: manhattan_spearman |
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value: 54.1060935491622 |
|
- task: |
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type: Reranking |
|
dataset: |
|
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 |
|
metrics: |
|
- type: map |
|
value: 66.69386947176218 |
|
- type: mrr |
|
value: 88.32853511775079 |
|
- 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: 99.27821782178218 |
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- type: cos_sim_ap |
|
value: 57.55972038310294 |
|
- type: cos_sim_f1 |
|
value: 56.744186046511636 |
|
- type: cos_sim_precision |
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value: 67.77777777777779 |
|
- type: cos_sim_recall |
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value: 48.8 |
|
- type: dot_accuracy |
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value: 99.08514851485148 |
|
- type: dot_ap |
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value: 38.03171387315323 |
|
- type: dot_f1 |
|
value: 42.29492650545282 |
|
- type: dot_precision |
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value: 40.21641118124437 |
|
- type: dot_recall |
|
value: 44.6 |
|
- type: euclidean_accuracy |
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value: 99.25445544554455 |
|
- type: euclidean_ap |
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value: 55.0893612229229 |
|
- type: euclidean_f1 |
|
value: 55.27950310559005 |
|
- type: euclidean_precision |
|
value: 57.2961373390558 |
|
- type: euclidean_recall |
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value: 53.400000000000006 |
|
- type: manhattan_accuracy |
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value: 99.27029702970297 |
|
- type: manhattan_ap |
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value: 56.570555954231416 |
|
- type: manhattan_f1 |
|
value: 56.53825284861639 |
|
- type: manhattan_precision |
|
value: 61.80308422301305 |
|
- type: manhattan_recall |
|
value: 52.1 |
|
- type: max_accuracy |
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value: 99.27821782178218 |
|
- type: max_ap |
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value: 57.55972038310294 |
|
- type: max_f1 |
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value: 56.744186046511636 |
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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: 35.549661310808844 |
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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: 39.49585587792292 |
|
- type: mrr |
|
value: 39.614673520923525 |
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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 |
|
value: 31.296596619931705 |
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- type: cos_sim_spearman |
|
value: 30.615476110489308 |
|
- type: dot_pearson |
|
value: 22.591641241858532 |
|
- type: dot_spearman |
|
value: 23.172280120633175 |
|
- task: |
|
type: Classification |
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dataset: |
|
type: mteb/tweet_sentiment_extraction |
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name: MTEB TweetSentimentExtractionClassification |
|
config: default |
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split: test |
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revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 56.28466327108092 |
|
- type: f1 |
|
value: 56.51136199945227 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 18.349314406029464 |
|
--- |
