ModelAmazon (Nova)Amazon (Nova)published Apr 30, 2024seen 5d

amazon/Titan-text-embeddings-v2

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published Apr 30, 2024seen 5dcaptured 9hhttp 200method plaintask feature-extractionlicense otherlibrary transformersdownloads 289likes 17

--- license: other license_name: amazon-service-terms license_link: https://aws.amazon.com/service-terms/ language:

  • en
  • fr
  • de
  • es
  • ja
  • zh
  • hi
  • ar
  • it
  • pt
  • sv
  • ko
  • he
  • cs
  • tr
  • tl
  • ru
  • nl
  • pl
  • ta
  • mr
  • ml
  • te
  • kn
  • vi
  • id
  • fa
  • hu
  • el
  • ro
  • da
  • th
  • fi
  • sk
  • uk
  • 'no'
  • bg
  • ca
  • sr
  • hr
  • lt
  • sl
  • et
  • la
  • bn
  • lv
  • ms
  • bs
  • sq
  • az
  • gl
  • is
  • ka
  • mk
  • eu
  • hy
  • ne
  • ur
  • kk
  • mn
  • be
  • uz
  • km
  • nn
  • gu
  • my
  • cy
  • eo
  • si
  • tt
  • sw
  • af
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  • pa
  • ku
  • ky
  • tg
  • or
  • lo
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  • lb
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  • xh
  • su
  • yo

tags:

  • feature-extraction
  • sentence-similarity
  • mteb

inference: false model-index:

  • name: Titan-text-embeddings-v2

results:

  • task:

type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics:

  • type: accuracy

value: 79.31343283582089

  • type: ap

value: 43.9465851246623

  • type: f1

value: 73.6131343594374

  • task:

type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (de) config: de split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics:

  • type: accuracy

value: 70.94218415417559

  • type: ap

value: 82.30115528468109

  • type: f1

value: 69.37963699148699

  • task:

type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en-ext) config: en-ext split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics:

  • type: accuracy

value: 82.29385307346327

  • type: ap

value: 29.956638709449372

  • type: f1

value: 68.88158061498754

  • task:

type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (ja) config: ja split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics:

  • type: accuracy

value: 80.06423982869379

  • type: ap

value: 25.2439835379337

  • type: f1

value: 65.53837311569734

  • task:

type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics:

  • type: accuracy

value: 76.66435

  • type: ap

value: 70.76988138513991

  • type: f1

value: 76.54117595647566

  • task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

  • type: accuracy

value: 35.276

  • type: f1

value: 34.90637768461089

  • task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (de) config: de split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

  • type: accuracy

value: 38.826

  • type: f1

value: 37.71339372044998

  • task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (es) config: es split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

  • type: accuracy

value: 39.385999999999996

  • type: f1

value: 38.24347249789392

  • task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (fr) config: fr split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

  • type: accuracy

value: 39.472

  • type: f1

value: 38.37157729490788

  • task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (ja) config: ja split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

  • type: accuracy

value: 35.897999999999996

  • type: f1

value: 35.187204289589346

  • task:

type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (zh) config: zh split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:

  • type: accuracy

value: 36.068

  • type: f1

value: 35.042441064207175

  • task:

type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics:

  • type: map_at_1

value: 27.027

  • type: map_at_10

value: 42.617

  • type: map_at_100

value: 43.686

  • type: map_at_1000

value: 43.695

  • type: map_at_3

value: 37.684

  • type: map_at_5

value: 40.532000000000004

  • type: mrr_at_1

value: 27.667

  • type: mrr_at_10

value: 42.88

  • type: mrr_at_100

value: 43.929

  • type: mrr_at_1000

value: 43.938

  • type: mrr_at_3

value: 37.933

  • type: mrr_at_5

value: 40.774

  • type: ndcg_at_1

value: 27.027

  • type: ndcg_at_10

value: 51.312000000000005

  • type: ndcg_at_100

value: 55.696

  • type: ndcg_at_1000

value: 55.896

  • type: ndcg_at_3

value: 41.124

  • type: ndcg_at_5

value: 46.283

  • type: precision_at_1

value: 27.027

  • type: precision_at_10

value: 7.9159999999999995

  • type: precision_at_100

value: 0.979

  • type: precision_at_1000

value: 0.099

  • type: precision_at_3

value: 17.022000000000002

  • type: precision_at_5

value: 12.731

  • type: recall_at_1

value: 27.027

  • type: recall_at_10

value: 79.161

  • type: recall_at_100

value: 97.937

  • type: recall_at_1000

value: 99.431

  • type: recall_at_3

value: 51.06699999999999

  • type: recall_at_5

value: 63.656

  • task:

type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics:

  • type: v_measure

value: 41.775131599226874

  • task:

type: Clustering dataset: type: mteb/arxiv-clustering-s2s name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics:

  • type: v_measure

value: 34.134214263072494

  • task:

type: Reranking dataset: type: mteb/askubuntudupquestions-reranking name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics:

  • type: map

value: 63.2885651257187

  • type: mrr

value: 76.37712702809655

  • task:

type: STS dataset: type: mteb/biosses-sts name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics:

  • type: cos_sim_pearson

value: 89.53738990667027

  • type: cos_sim_spearman

value: 87.13210584606783

  • type: euclidean_pearson

value: 87.33265405736388

  • type: euclidean_spearman

value: 87.18632394893399

  • type: manhattan_pearson

value: 87.33673166528312

  • type: manhattan_spearman

value: 86.9736685010257

  • task:

type: BitextMining dataset: type: mteb/bucc-bitext-mining name: MTEB BUCC (de-en) config: de-en split: test revision:…

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