mteb model-index region:us
---
tags:
- mteb
model-index:
- name: no_model_name_available
  results:
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 66.2368177379181
    - type: cosine_spearman
      value: 68.35446129213678
    - type: euclidean_pearson
      value: 68.35832044207704
    - type: euclidean_spearman
      value: 68.35446129213678
    - type: main_score
      value: 68.35446129213678
    - type: manhattan_pearson
      value: 68.70754373818515
    - type: manhattan_spearman
      value: 68.2292889016414
    - type: pearson
      value: 66.2368177379181
    - type: spearman
      value: 68.35446129213678
  - task:
      type: STS
    dataset:
      name: MTEB STS14 (default)
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cosine_pearson
      value: 85.12461231748527
    - type: cosine_spearman
      value: 83.78377223012504
    - type: euclidean_pearson
      value: 84.84032421122767
    - type: euclidean_spearman
      value: 83.78376987896931
    - type: main_score
      value: 83.78377223012504
    - type: manhattan_pearson
      value: 84.97174244411761
    - type: manhattan_spearman
      value: 84.13202634643542
    - type: pearson
      value: 85.12461231748527
    - type: spearman
      value: 83.78377223012504
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020 (default)
      type: mteb/touche2020
      config: default
      split: test
      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
    metrics:
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      value: 25.883
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      value: 2.153
    - type: map_at_10
      value: 9.871
    - type: map_at_100
      value: 15.559000000000001
    - type: map_at_1000
      value: 17.183
    - type: map_at_20
      value: 12.552
    - type: map_at_3
      value: 5.493
    - type: map_at_5
      value: 7.85
    - type: mrr_at_1
      value: 30.612244897959183
    - type: mrr_at_10
      value: 48.89131843213475
    - type: mrr_at_100
      value: 49.6963561262702
    - type: mrr_at_1000
      value: 49.7010693279481
    - type: mrr_at_20
      value: 49.531452107982716
    - type: mrr_at_3
      value: 44.21768707482994
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      value: 24.375
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  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 93.46268656716417
    - type: ap
      value: 73.16905656173336
    - type: ap_weighted
      value: 73.16905656173336
    - type: f1
      value: 89.9835927572066
    - type: f1_weighted
      value: 93.578175628546
    - type: main_score
      value: 93.46268656716417
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification (default)
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 96.64014999999999
    - type: ap
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    - type: ap_weighted
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    - type: f1
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    - type: f1_weighted
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    - type: main_score
      value: 96.64014999999999
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
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    - type: f1_weighted
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    - type: main_score
      value: 63.970000000000006
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna (default)
      type: mteb/arguana
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
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      value: 94.808
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      value: 79.801
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P (default)
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
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  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S (default)
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
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      value: 49.82450675178832
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  - task:
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    dataset:
      name: MTEB AskUbuntuDupQuestions (default)
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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  - task:
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      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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    - type: pearson
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  - task:
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    dataset:
      name: MTEB Banking77Classification (default)
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
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  - task:
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    dataset:
      name: MTEB BiorxivClusteringP2P (default)
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
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      value: 47.21939028186225
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  - task:
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    dataset:
      name: MTEB BiorxivClusteringS2S (default)
      type: mteb/biorxiv-clustering-s2s
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
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  - task:
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    dataset:
      name: MTEB CQADupstackAndroidRetrieval (default)
      type: mteb/cqadupstack-android
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
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  - task:
      type: Retrieval
    dataset:
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      type: mteb/cqadupstack-english
      config: default
      split: test
      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
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  - task:
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  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: mteb/mtop_domain
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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  - task:
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      type: mteb/mtop_intent
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
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  - task:
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      type: mteb/amazon_massive_intent
      config: en
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
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  - task:
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      type: mteb/amazon_massive_scenario
      config: en
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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  - task:
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      type: mteb/medrxiv-clustering-p2p
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
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  - task:
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      type: mteb/medrxiv-clustering-s2s
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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  - task:
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      type: mteb/mind_small
      config: default
      split: test
      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
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  - task:
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      type: mteb/nfcorpus
      config: default
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  - task:
      type: Retrieval
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  - task:
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      type: mteb/reddit-clustering
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    - type: v_measure_std
      value: 3.988775454635202
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P (default)
      type: mteb/reddit-clustering-p2p
      config: default
      split: test
      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
    metrics:
    - type: main_score
      value: 68.02321609158898
    - type: v_measure
      value: 68.02321609158898
    - type: v_measure_std
      value: 13.048787017567099
  - task:
      type: Retrieval
    dataset:
      name: MTEB SCIDOCS (default)
      type: mteb/scidocs
      config: default
      split: test
      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
    metrics:
    - type: main_score
      value: 23.814
    - type: map_at_1
      value: 5.455
    - type: map_at_10
      value: 14.208000000000002
    - type: map_at_100
      value: 17.328
    - type: map_at_1000
      value: 17.748
    - type: map_at_20
      value: 15.735
    - type: map_at_3
      value: 9.614
    - type: map_at_5
      value: 11.777999999999999
    - type: mrr_at_1
      value: 26.900000000000002
    - type: mrr_at_10
      value: 38.7683333333333
    - type: mrr_at_100
      value: 39.86887355087612
    - type: mrr_at_1000
      value: 39.89416581484622
    - type: mrr_at_20
      value: 39.45076687545336
    - type: mrr_at_3
      value: 34.283333333333324
    - type: mrr_at_5
      value: 36.7733333333333
    - type: nauc_map_at_1000_diff1
      value: 6.582032797360866
    - type: nauc_map_at_1000_max
      value: 17.29971642208067
    - type: nauc_map_at_1000_std
      value: 6.571653079053965
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      value: 6.6520274055220945
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      value: 17.28927582943446
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      value: 6.3788070086997735
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      value: 7.8097868021789765
    - type: nauc_map_at_10_max
      value: 15.868814598414307
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      value: 1.3833485160000003
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      value: 20.002393048021077
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      value: 16.777673629413144
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      value: -1.5982142140773345
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      value: 7.026484961291383
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      value: 16.358039615308098
    - type: nauc_map_at_20_std
      value: 4.265555678748822
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      value: 11.670235117521639
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      value: 15.421371305785032
    - type: nauc_map_at_3_std
      value: -2.0891385987905253
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      value: 8.782941099433515
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      value: 15.429505319062791
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      value: 0.01706038881959217
    - type: nauc_mrr_at_1000_diff1
      value: 14.424089575104654
    - type: nauc_mrr_at_1000_max
      value: 18.354632635310146
    - type: nauc_mrr_at_1000_std
      value: 3.148669746271006
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      value: 14.43190469520255
    - type: nauc_mrr_at_100_max
      value: 18.37445314994635
    - type: nauc_mrr_at_100_std
      value: 3.175095104402658
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      value: 14.015953357582356
    - type: nauc_mrr_at_10_max
      value: 18.334773185007375
    - type: nauc_mrr_at_10_std
      value: 3.1788218175601917
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      value: -1.591329233808127
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      value: 14.126339493553159
    - type: nauc_mrr_at_20_max
      value: 18.316449447055653
    - type: nauc_mrr_at_20_std
      value: 3.1850941428621042
    - type: nauc_mrr_at_3_diff1
      value: 14.730386161975737
    - type: nauc_mrr_at_3_max
      value: 17.32498171231654
    - type: nauc_mrr_at_3_std
      value: 1.321654906709584
    - type: nauc_mrr_at_5_diff1
      value: 14.46476336413886
    - type: nauc_mrr_at_5_max
      value: 17.940958841978826
    - type: nauc_mrr_at_5_std
      value: 2.9529508335708945
    - type: nauc_ndcg_at_1000_diff1
      value: 6.681346718194129
    - type: nauc_ndcg_at_1000_max
      value: 21.404613477283746
    - type: nauc_ndcg_at_1000_std
      value: 14.596655479547055
    - type: nauc_ndcg_at_100_diff1
      value: 6.3302594607492155
    - type: nauc_ndcg_at_100_max
      value: 21.26459769654865
    - type: nauc_ndcg_at_100_std
      value: 14.522962033467959
    - type: nauc_ndcg_at_10_diff1
      value: 7.025732359853311
    - type: nauc_ndcg_at_10_max
      value: 17.31881906701822
    - type: nauc_ndcg_at_10_std
      value: 4.692540938431521
    - type: nauc_ndcg_at_1_diff1
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    - type: nauc_ndcg_at_1_max
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    - type: nauc_ndcg_at_1_std
      value: -1.591329233808127
    - type: nauc_ndcg_at_20_diff1
      value: 6.355140893975436
    - type: nauc_ndcg_at_20_max
      value: 18.29467935307024
    - type: nauc_ndcg_at_20_std
      value: 8.87309764856374
    - type: nauc_ndcg_at_3_diff1
      value: 11.131091987737578
    - type: nauc_ndcg_at_3_max
      value: 15.876946297140213
    - type: nauc_ndcg_at_3_std
      value: -0.19961674229045062
    - type: nauc_ndcg_at_5_diff1
      value: 8.719384001108486
    - type: nauc_ndcg_at_5_max
      value: 16.561854761839523
    - type: nauc_ndcg_at_5_std
      value: 2.849455858958004
    - type: nauc_precision_at_1000_diff1
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    - type: nauc_precision_at_1000_max
      value: 27.054907731659355
    - type: nauc_precision_at_1000_std
      value: 42.6582722652614
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      value: 22.691769918104637
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      value: 30.417860777083998
    - type: nauc_precision_at_10_diff1
      value: 0.7460714765387558
    - type: nauc_precision_at_10_max
      value: 16.189155199570223
    - type: nauc_precision_at_10_std
      value: 8.466856326540606
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      value: 16.906770193671957
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      value: -1.591329233808127
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      value: 17.13909220544385
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      value: 16.413326815174717
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      value: 7.101179998696147
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      value: 14.797248842818975
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      value: 0.40582828085273265
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      value: 3.4483179666389696
    - type: nauc_precision_at_5_max
      value: 15.735507259648934
    - type: nauc_precision_at_5_std
      value: 5.671451893149887
    - type: nauc_recall_at_1000_diff1
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    - type: nauc_recall_at_1000_max
      value: 27.218180153734124
    - type: nauc_recall_at_1000_std
      value: 44.46679820329153
    - type: nauc_recall_at_100_diff1
      value: -1.4536649156519559
    - type: nauc_recall_at_100_max
      value: 22.44690502045992
    - type: nauc_recall_at_100_std
      value: 30.235557227945275
    - type: nauc_recall_at_10_diff1
      value: 0.6119379049099861
    - type: nauc_recall_at_10_max
      value: 15.882135185205446
    - type: nauc_recall_at_10_std
      value: 8.176733663905573
    - type: nauc_recall_at_1_diff1
      value: 20.002393048021077
    - type: nauc_recall_at_1_max
      value: 16.777673629413144
    - type: nauc_recall_at_1_std
      value: -1.5982142140773345
    - type: nauc_recall_at_20_diff1
      value: -0.1682800060016626
    - type: nauc_recall_at_20_max
      value: 16.971491120013564
    - type: nauc_recall_at_20_std
      value: 16.122046383351293
    - type: nauc_recall_at_3_diff1
      value: 6.988663029514718
    - type: nauc_recall_at_3_max
      value: 14.528152900658856
    - type: nauc_recall_at_3_std
      value: 0.17590933968510467
    - type: nauc_recall_at_5_diff1
      value: 3.353041984845736
    - type: nauc_recall_at_5_max
      value: 15.403568054057326
    - type: nauc_recall_at_5_std
      value: 5.319244399661828
    - type: ndcg_at_1
      value: 26.900000000000002
    - type: ndcg_at_10
      value: 23.814
    - type: ndcg_at_100
      value: 34.943999999999996
    - type: ndcg_at_1000
      value: 40.78
    - type: ndcg_at_20
      value: 27.643
    - type: ndcg_at_3
      value: 21.227
    - type: ndcg_at_5
      value: 19.038
    - type: precision_at_1
      value: 26.900000000000002
    - type: precision_at_10
      value: 12.73
    - type: precision_at_100
      value: 2.881
    - type: precision_at_1000
      value: 0.426
    - type: precision_at_20
      value: 8.57
    - type: precision_at_3
      value: 19.6
    - type: precision_at_5
      value: 16.8
    - type: recall_at_1
      value: 5.455
    - type: recall_at_10
      value: 25.802999999999997
    - type: recall_at_100
      value: 58.45
    - type: recall_at_1000
      value: 86.457
    - type: recall_at_20
      value: 34.762
    - type: recall_at_3
      value: 11.943
    - type: recall_at_5
      value: 17.043
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R (default)
      type: mteb/sickr-sts
      config: default
      split: test
      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
    metrics:
    - type: cosine_pearson
      value: 85.60157402941752
    - type: cosine_spearman
      value: 82.98956725441452
    - type: euclidean_pearson
      value: 83.07824357271161
    - type: euclidean_spearman
      value: 82.98957395335212
    - type: main_score
      value: 82.98956725441452
    - type: manhattan_pearson
      value: 83.10748351148622
    - type: manhattan_spearman
      value: 83.16217281563378
    - type: pearson
      value: 85.60157402941752
    - type: spearman
      value: 82.98956725441452
  - task:
      type: STS
    dataset:
      name: MTEB STS12 (default)
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cosine_pearson
      value: 85.20198919395854
    - type: cosine_spearman
      value: 78.17308450713497
    - type: euclidean_pearson
      value: 82.91465813078975
    - type: euclidean_spearman
      value: 78.17308450713497
    - type: main_score
      value: 78.17308450713497
    - type: manhattan_pearson
      value: 83.36938760055344
    - type: manhattan_spearman
      value: 78.77166023561925
    - type: pearson
      value: 85.20198919395854
    - type: spearman
      value: 78.17308450713497
  - task:
      type: STS
    dataset:
      name: MTEB STS13 (default)
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cosine_pearson
      value: 87.3197290035165
    - type: cosine_spearman
      value: 88.12589189918039
    - type: euclidean_pearson
      value: 87.88474436451652
    - type: euclidean_spearman
      value: 88.12589189918039
    - type: main_score
      value: 88.12589189918039
    - type: manhattan_pearson
      value: 88.1114243109502
    - type: manhattan_spearman
      value: 88.40111910955112
    - type: pearson
      value: 87.3197290035165
    - type: spearman
      value: 88.12589189918039
  - task:
      type: STS
    dataset:
      name: MTEB STS15 (default)
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cosine_pearson
      value: 87.91424745154934
    - type: cosine_spearman
      value: 88.78510857775494
    - type: euclidean_pearson
      value: 88.60854825357943
    - type: euclidean_spearman
      value: 88.78511307332248
    - type: main_score
      value: 88.78510857775494
    - type: manhattan_pearson
      value: 88.81490531409946
    - type: manhattan_spearman
      value: 89.10162579991359
    - type: pearson
      value: 87.91424745154934
    - type: spearman
      value: 88.78510857775494
  - task:
      type: STS
    dataset:
      name: MTEB STS16 (default)
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cosine_pearson
      value: 84.42255273136605
    - type: cosine_spearman
      value: 86.46810322536955
    - type: euclidean_pearson
      value: 86.255541184091
    - type: euclidean_spearman
      value: 86.46810322536955
    - type: main_score
      value: 86.46810322536955
    - type: manhattan_pearson
      value: 86.72678851651064
    - type: manhattan_spearman
      value: 86.93777990302539
    - type: pearson
      value: 84.42255273136605
    - type: spearman
      value: 86.46810322536955
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: mteb/sts17-crosslingual-sts
      config: en-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    metrics:
    - type: cosine_pearson
      value: 91.72746389892356
    - type: cosine_spearman
      value: 92.23283881812245
    - type: euclidean_pearson
      value: 92.29179177488737
    - type: euclidean_spearman
      value: 92.23283881812245
    - type: main_score
      value: 92.23283881812245
    - type: manhattan_pearson
      value: 92.13764526009247
    - type: manhattan_spearman
      value: 92.0582843442798
    - type: pearson
      value: 91.72746389892356
    - type: spearman
      value: 92.23283881812245
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark (default)
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
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      value: 86.14912927994007
    - type: cosine_spearman
      value: 87.46655844472012
    - type: euclidean_pearson
      value: 87.53026653408118
    - type: euclidean_spearman
      value: 87.46655844472012
    - type: main_score
      value: 87.46655844472012
    - type: manhattan_pearson
      value: 87.68289898403299
    - type: manhattan_spearman
      value: 87.73630507998439
    - type: pearson
      value: 86.14912927994007
    - type: spearman
      value: 87.46655844472012
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR (default)
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
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      value: 86.97859154411299
    - type: map
      value: 86.97859154411299
    - type: mrr
      value: 96.35598968932302
    - type: nAUC_map_diff1
      value: -18.506120190268017
    - type: nAUC_map_max
      value: 55.78442121746724
    - type: nAUC_map_std
      value: 66.27889919160313
    - type: nAUC_mrr_diff1
      value: 18.288014199762895
    - type: nAUC_mrr_max
      value: 83.25297655347828
    - type: nAUC_mrr_std
      value: 72.809885375971
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact (default)
      type: mteb/scifact
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
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      value: 52.842
    - type: map_at_1
      value: 32.911
    - type: map_at_10
      value: 46.013
    - type: map_at_100
      value: 47.11
    - type: map_at_1000
      value: 47.137
    - type: map_at_20
      value: 46.78
    - type: map_at_3
      value: 41.900999999999996
    - type: map_at_5
      value: 44.357
    - type: mrr_at_1
      value: 35.0
    - type: mrr_at_10
      value: 46.96574074074072
    - type: mrr_at_100
      value: 47.959931245967184
    - type: mrr_at_1000
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    - type: mrr_at_20
      value: 47.68440206880607
    - type: mrr_at_3
      value: 43.77777777777776
    - type: mrr_at_5
      value: 45.611111111111086
    - type: nauc_map_at_1000_diff1
      value: 42.89180178126247
    - type: nauc_map_at_1000_max
      value: 45.75105611403444
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      value: 17.463513608950578
    - type: nauc_map_at_100_diff1
      value: 42.893512582653656
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      value: 45.754617699990035
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      value: 17.490513656867037
    - type: nauc_map_at_10_diff1
      value: 42.364748689290415
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      value: 45.56642444523947
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      value: 17.079579644716894
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      value: 48.949793800671124
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      value: 45.82239538118238
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      value: 11.183927196674755
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      value: 44.75146781225222
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    - type: nauc_mrr_at_20_diff1
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    - type: precision_at_1
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    - type: recall_at_1
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    - type: recall_at_1000
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    - type: recall_at_20
      value: 83.0
    - type: recall_at_3
      value: 52.878
    - type: recall_at_5
      value: 62.06700000000001
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions (default)
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
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      value: 85.4932188987732
    - type: cosine_ap
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    - type: cosine_precision
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    - type: cosine_recall
      value: 92.9
    - type: dot_accuracy
      value: 99.87425742574257
    - type: dot_accuracy_threshold
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    - type: dot_ap
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    - type: dot_f1
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    - type: dot_f1_threshold
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    - type: dot_precision
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    - type: dot_recall
      value: 92.9
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      value: 99.87425742574257
    - type: euclidean_accuracy_threshold
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    - type: euclidean_ap
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    - type: euclidean_precision
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    - type: euclidean_recall
      value: 92.9
    - type: main_score
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    - type: manhattan_accuracy_threshold
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    - type: manhattan_ap
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      value: 2559.8316192626953
    - type: manhattan_precision
      value: 94.07035175879398
    - type: manhattan_recall
      value: 93.60000000000001
    - type: max_accuracy
      value: 99.87821782178217
    - type: max_ap
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    - type: max_f1
      value: 93.83458646616543
    - type: max_precision
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    - type: max_recall
      value: 93.60000000000001
    - type: similarity_accuracy
      value: 99.87425742574257
    - type: similarity_accuracy_threshold
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    - type: similarity_ap
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    - type: similarity_f1
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    - type: similarity_f1_threshold
      value: 85.4932188987732
    - type: similarity_precision
      value: 94.31472081218274
    - type: similarity_recall
      value: 92.9
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering (default)
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
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      value: 76.98818225336838
    - type: v_measure
      value: 76.98818225336838
    - type: v_measure_std
      value: 3.154967965946174
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P (default)
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
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    - type: v_measure
      value: 45.163651140607605
    - type: v_measure_std
      value: 1.4322970276083837
  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions (default)
      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
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    - type: map
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  - task:
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    dataset:
      name: MTEB SummEval (default)
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
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    - type: dot_pearson
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    - type: pearson
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    - type: spearman
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  - task:
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      name: MTEB TRECCOVID (default)
      type: mteb/trec-covid
      config: default
      split: test
      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
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      value: 54.969
    - type: ndcg_at_3
      value: 64.93900000000001
    - type: ndcg_at_5
      value: 60.736999999999995
    - type: precision_at_1
      value: 76.0
    - type: precision_at_10
      value: 61.199999999999996
    - type: precision_at_100
      value: 46.839999999999996
    - type: precision_at_1000
      value: 19.666
    - type: precision_at_20
      value: 56.8
    - type: precision_at_3
      value: 68.0
    - type: precision_at_5
      value: 62.8
    - type: recall_at_1
      value: 0.20600000000000002
    - type: recall_at_10
      value: 1.5939999999999999
    - type: recall_at_100
      value: 11.498
    - type: recall_at_1000
      value: 42.729
    - type: recall_at_20
      value: 2.922
    - type: recall_at_3
      value: 0.5309999999999999
    - type: recall_at_5
      value: 0.8370000000000001
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification (default)
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
    metrics:
    - type: accuracy
      value: 85.9521484375
    - type: ap
      value: 30.374730390938566
    - type: ap_weighted
      value: 30.374730390938566
    - type: f1
      value: 70.3917271343218
    - type: f1_weighted
      value: 88.45609971763992
    - type: main_score
      value: 85.9521484375
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification (default)
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 80.12733446519525
    - type: f1
      value: 80.418094849412
    - type: f1_weighted
      value: 80.10847441279616
    - type: main_score
      value: 80.12733446519525
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering (default)
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: main_score
      value: 64.6036121602603
    - type: v_measure
      value: 64.6036121602603
    - type: v_measure_std
      value: 1.2991377356017484
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015 (default)
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cosine_accuracy
      value: 87.86433808189784
    - type: cosine_accuracy_threshold
      value: 85.5525255203247
    - type: cosine_ap
      value: 78.93155350890012
    - type: cosine_f1
      value: 71.80031864046734
    - type: cosine_f1_threshold
      value: 83.99585485458374
    - type: cosine_precision
      value: 72.26082308925709
    - type: cosine_recall
      value: 71.34564643799473
    - type: dot_accuracy
      value: 87.86433808189784
    - type: dot_accuracy_threshold
      value: 85.55253744125366
    - type: dot_ap
      value: 78.93157147282707
    - type: dot_f1
      value: 71.80031864046734
    - type: dot_f1_threshold
      value: 83.99585485458374
    - type: dot_precision
      value: 72.26082308925709
    - type: dot_recall
      value: 71.34564643799473
    - type: euclidean_accuracy
      value: 87.86433808189784
    - type: euclidean_accuracy_threshold
      value: 53.75403165817261
    - type: euclidean_ap
      value: 78.93157128337329
    - type: euclidean_f1
      value: 71.80031864046734
    - type: euclidean_f1_threshold
      value: 56.575870513916016
    - type: euclidean_precision
      value: 72.26082308925709
    - type: euclidean_recall
      value: 71.34564643799473
    - type: main_score
      value: 79.12654131533807
    - type: manhattan_accuracy
      value: 87.98950944745782
    - type: manhattan_accuracy_threshold
      value: 2512.5680923461914
    - type: manhattan_ap
      value: 79.12654131533807
    - type: manhattan_f1
      value: 71.90745366110163
    - type: manhattan_f1_threshold
      value: 2624.722671508789
    - type: manhattan_precision
      value: 71.65313073094053
    - type: manhattan_recall
      value: 72.16358839050132
    - type: max_accuracy
      value: 87.98950944745782
    - type: max_ap
      value: 79.12654131533807
    - type: max_f1
      value: 71.90745366110163
    - type: max_precision
      value: 72.26082308925709
    - type: max_recall
      value: 72.16358839050132
    - type: similarity_accuracy
      value: 87.86433808189784
    - type: similarity_accuracy_threshold
      value: 85.5525255203247
    - type: similarity_ap
      value: 78.93155350890012
    - type: similarity_f1
      value: 71.80031864046734
    - type: similarity_f1_threshold
      value: 83.99585485458374
    - type: similarity_precision
      value: 72.26082308925709
    - type: similarity_recall
      value: 71.34564643799473
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus (default)
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cosine_accuracy
      value: 89.03248340901153
    - type: cosine_accuracy_threshold
      value: 84.39068794250488
    - type: cosine_ap
      value: 85.87150718008797
    - type: cosine_f1
      value: 78.39147286821706
    - type: cosine_f1_threshold
      value: 82.88650512695312
    - type: cosine_precision
      value: 75.96792834440913
    - type: cosine_recall
      value: 80.97474591931014
    - type: dot_accuracy
      value: 89.03248340901153
    - type: dot_accuracy_threshold
      value: 84.39069986343384
    - type: dot_ap
      value: 85.87150946221163
    - type: dot_f1
      value: 78.39147286821706
    - type: dot_f1_threshold
      value: 82.88650512695312
    - type: dot_precision
      value: 75.96792834440913
    - type: dot_recall
      value: 80.97474591931014
    - type: euclidean_accuracy
      value: 89.03248340901153
    - type: euclidean_accuracy_threshold
      value: 55.873626470565796
    - type: euclidean_ap
      value: 85.87151445202907
    - type: euclidean_f1
      value: 78.39147286821706
    - type: euclidean_f1_threshold
      value: 58.5038423538208
    - type: euclidean_precision
      value: 75.96792834440913
    - type: euclidean_recall
      value: 80.97474591931014
    - type: main_score
      value: 85.95871260636034
    - type: manhattan_accuracy
      value: 89.09069740365584
    - type: manhattan_accuracy_threshold
      value: 2603.150749206543
    - type: manhattan_ap
      value: 85.95871260636034
    - type: manhattan_f1
      value: 78.53649430651484
    - type: manhattan_f1_threshold
      value: 2714.5809173583984
    - type: manhattan_precision
      value: 76.23396390519677
    - type: manhattan_recall
      value: 80.9824453341546
    - type: max_accuracy
      value: 89.09069740365584
    - type: max_ap
      value: 85.95871260636034
    - type: max_f1
      value: 78.53649430651484
    - type: max_precision
      value: 76.23396390519677
    - type: max_recall
      value: 80.9824453341546
    - type: similarity_accuracy
      value: 89.03248340901153
    - type: similarity_accuracy_threshold
      value: 84.39068794250488
    - type: similarity_ap
      value: 85.87150718008797
    - type: similarity_f1
      value: 78.39147286821706
    - type: similarity_f1_threshold
      value: 82.88650512695312
    - type: similarity_precision
      value: 75.96792834440913
    - type: similarity_recall
      value: 80.97474591931014
---
