---
tags:
- mteb
model-index:
- name: all-mpnet-base-v2-negation
  results:
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_counterfactual
      name: MTEB AmazonCounterfactualClassification (en)
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 72.6268656716418
    - type: ap
      value: 36.40585820220466
    - type: f1
      value: 67.06383995428979
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_polarity
      name: MTEB AmazonPolarityClassification
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 85.11834999999999
    - type: ap
      value: 79.72843246428603
    - type: f1
      value: 85.08938287851875
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_reviews_multi
      name: MTEB AmazonReviewsClassification (en)
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 37.788000000000004
    - type: f1
      value: 37.40475118737949
  - task:
      type: Clustering
    dataset:
      type: mteb/arxiv-clustering-p2p
      name: MTEB ArxivClusteringP2P
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 45.73138953773995
  - task:
      type: Clustering
    dataset:
      type: mteb/arxiv-clustering-s2s
      name: MTEB ArxivClusteringS2S
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 39.13609863309245
  - task:
      type: Reranking
    dataset:
      type: mteb/askubuntudupquestions-reranking
      name: MTEB AskUbuntuDupQuestions
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 65.56639026991134
    - type: mrr
      value: 77.8122938926263
  - task:
      type: STS
    dataset:
      type: mteb/biosses-sts
      name: MTEB BIOSSES
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 72.27098152643569
    - type: cos_sim_spearman
      value: 71.13475338373253
    - type: euclidean_pearson
      value: 70.48545151074218
    - type: euclidean_spearman
      value: 69.49917394727082
    - type: manhattan_pearson
      value: 69.2653740752147
    - type: manhattan_spearman
      value: 68.59192435931085
  - task:
      type: Classification
    dataset:
      type: mteb/banking77
      name: MTEB Banking77Classification
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 84.7012987012987
    - type: f1
      value: 84.61766470772943
  - task:
      type: Clustering
    dataset:
      type: mteb/biorxiv-clustering-p2p
      name: MTEB BiorxivClusteringP2P
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: v_measure
      value: 37.61314886948818
  - task:
      type: Clustering
    dataset:
      type: mteb/biorxiv-clustering-s2s
      name: MTEB BiorxivClusteringS2S
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: v_measure
      value: 34.496442588205205
  - task:
      type: Classification
    dataset:
      type: mteb/emotion
      name: MTEB EmotionClassification
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 45.63
    - type: f1
      value: 40.24119129248194
  - task:
      type: Classification
    dataset:
      type: mteb/imdb
      name: MTEB ImdbClassification
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 74.73479999999999
    - type: ap
      value: 68.80435332319863
    - type: f1
      value: 74.66014345440416
  - task:
      type: Classification
    dataset:
      type: mteb/mtop_domain
      name: MTEB MTOPDomainClassification (en)
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 93.06429548563612
    - type: f1
      value: 92.91686969560733
  - task:
      type: Classification
    dataset:
      type: mteb/mtop_intent
      name: MTEB MTOPIntentClassification (en)
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 78.19197446420428
    - type: f1
      value: 61.50020940946492
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_massive_intent
      name: MTEB MassiveIntentClassification (en)
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 73.86684599865502
    - type: f1
      value: 72.11245795864379
  - task:
      type: Classification
    dataset:
      type: mteb/amazon_massive_scenario
      name: MTEB MassiveScenarioClassification (en)
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 77.53866845998655
    - type: f1
      value: 77.51746806908895
  - task:
      type: Clustering
    dataset:
      type: mteb/medrxiv-clustering-p2p
      name: MTEB MedrxivClusteringP2P
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 33.66744884855605
  - task:
      type: Clustering
    dataset:
      type: mteb/medrxiv-clustering-s2s
      name: MTEB MedrxivClusteringS2S
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 31.951900966550262
  - task:
      type: Reranking
    dataset:
      type: mteb/mind_small
      name: MTEB MindSmallReranking
      config: default
      split: test
      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
    metrics:
    - type: map
      value: 29.34485636178124
    - type: mrr
      value: 30.118035109577022
  - task:
      type: Clustering
    dataset:
      type: mteb/reddit-clustering
      name: MTEB RedditClustering
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 47.14306531904168
  - task:
      type: Clustering
    dataset:
      type: mteb/reddit-clustering-p2p
      name: MTEB RedditClusteringP2P
      config: default
      split: test
      revision: 282350215ef01743dc01b456c7f5241fa8937f16
    metrics:
    - type: v_measure
      value: 51.59878183893005
  - task:
      type: STS
    dataset:
      type: mteb/sickr-sts
      name: MTEB SICK-R
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 78.5530506834234
    - type: cos_sim_spearman
      value: 77.45787185404667
    - type: euclidean_pearson
      value: 76.37727601604011
    - type: euclidean_spearman
      value: 77.14250754925013
    - type: manhattan_pearson
      value: 75.85855462882735
    - type: manhattan_spearman
      value: 76.6223895689777
  - task:
      type: STS
    dataset:
      type: mteb/sts12-sts
      name: MTEB STS12
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 83.1019526956277
    - type: cos_sim_spearman
      value: 72.98362332123834
    - type: euclidean_pearson
      value: 78.42992808997602
    - type: euclidean_spearman
      value: 70.79569301491145
    - type: manhattan_pearson
      value: 77.96413528436207
    - type: manhattan_spearman
      value: 70.34707852104586
  - task:
      type: STS
    dataset:
      type: mteb/sts13-sts
      name: MTEB STS13
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 85.09200805966644
    - type: cos_sim_spearman
      value: 85.52497834636847
    - type: euclidean_pearson
      value: 84.20407512505086
    - type: euclidean_spearman
      value: 85.35640946044332
    - type: manhattan_pearson
      value: 83.79425758102826
    - type: manhattan_spearman
      value: 84.9531731481683
  - task:
      type: STS
    dataset:
      type: mteb/sts14-sts
      name: MTEB STS14
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 82.43419245577238
    - type: cos_sim_spearman
      value: 79.87215923164575
    - type: euclidean_pearson
      value: 80.99628882719712
    - type: euclidean_spearman
      value: 79.2671186335978
    - type: manhattan_pearson
      value: 80.47076166661054
    - type: manhattan_spearman
      value: 78.82329686631051
  - task:
      type: STS
    dataset:
      type: mteb/sts15-sts
      name: MTEB STS15
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 84.67294508915346
    - type: cos_sim_spearman
      value: 85.34528695616378
    - type: euclidean_pearson
      value: 83.65270617275111
    - type: euclidean_spearman
      value: 84.64456096952591
    - type: manhattan_pearson
      value: 83.26416114783083
    - type: manhattan_spearman
      value: 84.26944094512996
  - task:
      type: STS
    dataset:
      type: mteb/sts16-sts
      name: MTEB STS16
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 80.70172607906416
    - type: cos_sim_spearman
      value: 81.96031310316046
    - type: euclidean_pearson
      value: 82.34820192315314
    - type: euclidean_spearman
      value: 82.72576940549405
    - type: manhattan_pearson
      value: 81.93093910116202
    - type: manhattan_spearman
      value: 82.25431799152639
  - task:
      type: STS
    dataset:
      type: mteb/sts17-crosslingual-sts
      name: MTEB STS17 (en-en)
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 90.43640731744911
    - type: cos_sim_spearman
      value: 90.16343998541602
    - type: euclidean_pearson
      value: 89.49834342254633
    - type: euclidean_spearman
      value: 90.17304989919288
    - type: manhattan_pearson
      value: 89.32424382015218
    - type: manhattan_spearman
      value: 89.91884845996768
  - task:
      type: STS
    dataset:
      type: mteb/sts22-crosslingual-sts
      name: MTEB STS22 (en)
      config: en
      split: test
      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
    metrics:
    - type: cos_sim_pearson
      value: 62.06205206393254
    - type: cos_sim_spearman
      value: 60.920792876665885
    - type: euclidean_pearson
      value: 60.49188637403393
    - type: euclidean_spearman
      value: 60.73500415357452
    - type: manhattan_pearson
      value: 59.94692152491976
    - type: manhattan_spearman
      value: 60.215426858338994
  - task:
      type: STS
    dataset:
      type: mteb/stsbenchmark-sts
      name: MTEB STSBenchmark
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 84.78948820087687
    - type: cos_sim_spearman
      value: 84.64531509697663
    - type: euclidean_pearson
      value: 84.77264321816324
    - type: euclidean_spearman
      value: 84.67485410196043
    - type: manhattan_pearson
      value: 84.43100272264775
    - type: manhattan_spearman
      value: 84.29254033404217
  - task:
      type: Reranking
    dataset:
      type: mteb/scidocs-reranking
      name: MTEB SciDocsRR
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 88.39411601972704
    - type: mrr
      value: 96.49192583016112
  - task:
      type: PairClassification
    dataset:
      type: mteb/sprintduplicatequestions-pairclassification
      name: MTEB SprintDuplicateQuestions
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.55445544554455
    - type: cos_sim_ap
      value: 84.82462858434408
    - type: cos_sim_f1
      value: 76.11464968152866
    - type: cos_sim_precision
      value: 81.10859728506787
    - type: cos_sim_recall
      value: 71.7
    - type: dot_accuracy
      value: 99.48613861386139
    - type: dot_ap
      value: 80.97278220281665
    - type: dot_f1
      value: 72.2914669223394
    - type: dot_precision
      value: 69.42909760589319
    - type: dot_recall
      value: 75.4
    - type: euclidean_accuracy
      value: 99.56138613861386
    - type: euclidean_ap
      value: 85.21566333946467
    - type: euclidean_f1
      value: 76.60239708181345
    - type: euclidean_precision
      value: 79.97823721436343
    - type: euclidean_recall
      value: 73.5
    - type: manhattan_accuracy
      value: 99.55148514851486
    - type: manhattan_ap
      value: 84.49960192851891
    - type: manhattan_f1
      value: 75.9681697612732
    - type: manhattan_precision
      value: 80.90395480225989
    - type: manhattan_recall
      value: 71.6
    - type: max_accuracy
      value: 99.56138613861386
    - type: max_ap
      value: 85.21566333946467
    - type: max_f1
      value: 76.60239708181345
  - task:
      type: Clustering
    dataset:
      type: mteb/stackexchange-clustering
      name: MTEB StackExchangeClustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 49.33929838947165
  - task:
      type: Clustering
    dataset:
      type: mteb/stackexchange-clustering-p2p
      name: MTEB StackExchangeClusteringP2P
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
    - type: v_measure
      value: 31.523973661953686
  - task:
      type: Reranking
    dataset:
      type: mteb/stackoverflowdupquestions-reranking
      name: MTEB StackOverflowDupQuestions
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 52.22408767861519
    - type: mrr
      value: 53.16279921059333
  - task:
      type: Summarization
    dataset:
      type: mteb/summeval
      name: MTEB SummEval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 28.128173244098726
    - type: cos_sim_spearman
      value: 30.149225143523662
    - type: dot_pearson
      value: 24.322914168643386
    - type: dot_spearman
      value: 26.38194545372431
  - task:
      type: Classification
    dataset:
      type: mteb/toxic_conversations_50k
      name: MTEB ToxicConversationsClassification
      config: default
      split: test
      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
    metrics:
    - type: accuracy
      value: 67.6684
    - type: ap
      value: 12.681984793717413
    - type: f1
      value: 51.97637585601529
  - task:
      type: Classification
    dataset:
      type: mteb/tweet_sentiment_extraction
      name: MTEB TweetSentimentExtractionClassification
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 58.44086021505377
    - type: f1
      value: 58.68058329615692
  - task:
      type: Clustering
    dataset:
      type: mteb/twentynewsgroups-clustering
      name: MTEB TwentyNewsgroupsClustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 44.226944341054015
  - task:
      type: PairClassification
    dataset:
      type: mteb/twittersemeval2015-pairclassification
      name: MTEB TwitterSemEval2015
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 86.87488823985218
    - type: cos_sim_ap
      value: 76.85283892335002
    - type: cos_sim_f1
      value: 70.42042042042041
    - type: cos_sim_precision
      value: 66.96811042360781
    - type: cos_sim_recall
      value: 74.24802110817942
    - type: dot_accuracy
      value: 84.85426476724086
    - type: dot_ap
      value: 70.77036812650887
    - type: dot_f1
      value: 66.4901577069184
    - type: dot_precision
      value: 58.97488258117215
    - type: dot_recall
      value: 76.2005277044855
    - type: euclidean_accuracy
      value: 86.95833581689217
    - type: euclidean_ap
      value: 77.05903224969623
    - type: euclidean_f1
      value: 70.75323419175432
    - type: euclidean_precision
      value: 65.2979245704084
    - type: euclidean_recall
      value: 77.20316622691293
    - type: manhattan_accuracy
      value: 86.88084878106932
    - type: manhattan_ap
      value: 76.95056209047733
    - type: manhattan_f1
      value: 70.61542203843348
    - type: manhattan_precision
      value: 65.50090252707581
    - type: manhattan_recall
      value: 76.59630606860158
    - type: max_accuracy
      value: 86.95833581689217
    - type: max_ap
      value: 77.05903224969623
    - type: max_f1
      value: 70.75323419175432
  - task:
      type: PairClassification
    dataset:
      type: mteb/twitterurlcorpus-pairclassification
      name: MTEB TwitterURLCorpus
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 88.43870066363954
    - type: cos_sim_ap
      value: 84.77197321507954
    - type: cos_sim_f1
      value: 76.91440595175472
    - type: cos_sim_precision
      value: 75.11375311903713
    - type: cos_sim_recall
      value: 78.80351093316908
    - type: dot_accuracy
      value: 87.60624054022587
    - type: dot_ap
      value: 83.16574114504616
    - type: dot_f1
      value: 75.5050226294293
    - type: dot_precision
      value: 72.30953555571217
    - type: dot_recall
      value: 78.99599630428088
    - type: euclidean_accuracy
      value: 88.2951061435169
    - type: euclidean_ap
      value: 84.28559058741602
    - type: euclidean_f1
      value: 76.7921146953405
    - type: euclidean_precision
      value: 74.54334589736156
    - type: euclidean_recall
      value: 79.1807822605482
    - type: manhattan_accuracy
      value: 88.23883261536074
    - type: manhattan_ap
      value: 84.20593815258039
    - type: manhattan_f1
      value: 76.74366281685916
    - type: manhattan_precision
      value: 74.80263157894737
    - type: manhattan_recall
      value: 78.78811210348013
    - type: max_accuracy
      value: 88.43870066363954
    - type: max_ap
      value: 84.77197321507954
    - type: max_f1
      value: 76.91440595175472
---