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

# all-MiniLM-L6-v2-ONNX