mteb model-index region:us
---
tags:
- mteb
model-index:
- name: sentence-transformers/average_word_embeddings_komninos
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 60.402985074626855
    - type: ap
      value: 24.929195028150133
    - type: ap_weighted
      value: 24.929195028150133
    - type: f1
      value: 54.63138673052016
    - type: f1_weighted
      value: 64.35165762938922
    - type: main_score
      value: 60.402985074626855
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: validation
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 59.134328358208954
    - type: ap
      value: 20.645092706345967
    - type: ap_weighted
      value: 20.645092706345967
    - type: f1
      value: 51.52977516015989
    - type: f1_weighted
      value: 63.888682484335504
    - type: main_score
      value: 59.134328358208954
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification (default)
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 61.74492500000001
    - type: ap
      value: 57.61859520905024
    - type: ap_weighted
      value: 57.61859520905024
    - type: f1
      value: 61.20690108105637
    - type: f1_weighted
      value: 61.20690108105637
    - type: main_score
      value: 61.74492500000001
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 29.748
    - type: f1
      value: 29.317324500130205
    - type: f1_weighted
      value: 29.317324500130205
    - type: main_score
      value: 29.748
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: validation
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 29.15599999999999
    - type: f1
      value: 28.72271326130445
    - type: f1_weighted
      value: 28.72271326130445
    - type: main_score
      value: 29.15599999999999
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna (default)
      type: mteb/arguana
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
    metrics:
    - type: main_score
      value: 30.958999999999996
    - type: map_at_1
      value: 14.366999999999999
    - type: map_at_10
      value: 25.080999999999996
    - type: map_at_100
      value: 26.355
    - type: map_at_1000
      value: 26.423999999999996
    - type: map_at_20
      value: 25.912000000000003
    - type: map_at_3
      value: 21.834999999999997
    - type: map_at_5
      value: 23.563000000000002
    - type: mrr_at_1
      value: 15.078236130867708
    - type: mrr_at_10
      value: 25.337894285262696
    - type: mrr_at_100
      value: 26.611050500772095
    - type: mrr_at_1000
      value: 26.68089675960519
    - type: mrr_at_20
      value: 26.168277521137185
    - type: mrr_at_3
      value: 22.155049786628716
    - type: mrr_at_5
      value: 23.822901849217608
    - type: nauc_map_at_1000_diff1
      value: 13.653001121843564
    - type: nauc_map_at_1000_max
      value: 2.319102074931866
    - type: nauc_map_at_1000_std
      value: 14.863907956733978
    - type: nauc_map_at_100_diff1
      value: 13.707008572689888
    - type: nauc_map_at_100_max
      value: 2.3568789929286207
    - type: nauc_map_at_100_std
      value: 14.911911160260654
    - type: nauc_map_at_10_diff1
      value: 13.437143194171428
    - type: nauc_map_at_10_max
      value: 2.3407683503306393
    - type: nauc_map_at_10_std
      value: 14.290652074656073
    - type: nauc_map_at_1_diff1
      value: 15.120007354499974
    - type: nauc_map_at_1_max
      value: -3.0703979635822294
    - type: nauc_map_at_1_std
      value: 11.385855369804915
    - type: nauc_map_at_20_diff1
      value: 13.621840076777799
    - type: nauc_map_at_20_max
      value: 2.1877948032398877
    - type: nauc_map_at_20_std
      value: 14.708956175921836
    - type: nauc_map_at_3_diff1
      value: 12.356213115233386
    - type: nauc_map_at_3_max
      value: 0.6382555969907929
    - type: nauc_map_at_3_std
      value: 12.648818860839631
    - type: nauc_map_at_5_diff1
      value: 13.217620841821615
    - type: nauc_map_at_5_max
      value: 1.6310057806749718
    - type: nauc_map_at_5_std
      value: 14.044546566449604
    - type: nauc_mrr_at_1000_diff1
      value: 11.228288074444366
    - type: nauc_mrr_at_1000_max
      value: 2.1865463814828243
    - type: nauc_mrr_at_1000_std
      value: 14.23306531448693
    - type: nauc_mrr_at_100_diff1
      value: 11.286796889548375
    - type: nauc_mrr_at_100_max
      value: 2.2241357919072327
    - type: nauc_mrr_at_100_std
      value: 14.281813816045224
    - type: nauc_mrr_at_10_diff1
      value: 11.075822092473016
    - type: nauc_mrr_at_10_max
      value: 2.2162054135703912
    - type: nauc_mrr_at_10_std
      value: 13.681220157720839
    - type: nauc_mrr_at_1_diff1
      value: 11.528700137142192
    - type: nauc_mrr_at_1_max
      value: -1.0616327606141427
    - type: nauc_mrr_at_1_std
      value: 9.607487567146205
    - type: nauc_mrr_at_20_diff1
      value: 11.228823004101752
    - type: nauc_mrr_at_20_max
      value: 2.0599569750550835
    - type: nauc_mrr_at_20_std
      value: 14.087665945038868
    - type: nauc_mrr_at_3_diff1
      value: 9.962700773059229
    - type: nauc_mrr_at_3_max
      value: 0.803182788584721
    - type: nauc_mrr_at_3_std
      value: 11.970773976607262
    - type: nauc_mrr_at_5_diff1
      value: 10.647170590377367
    - type: nauc_mrr_at_5_max
      value: 1.4292475985002175
    - type: nauc_mrr_at_5_std
      value: 13.434643518492004
    - type: nauc_ndcg_at_1000_diff1
      value: 13.872309839650395
    - type: nauc_ndcg_at_1000_max
      value: 4.043493264977604
    - type: nauc_ndcg_at_1000_std
      value: 17.85215412789614
    - type: nauc_ndcg_at_100_diff1
      value: 15.157716814152627
    - type: nauc_ndcg_at_100_max
      value: 5.128513014092924
    - type: nauc_ndcg_at_100_std
      value: 19.248784984100055
    - type: nauc_ndcg_at_10_diff1
      value: 13.681682384919716
    - type: nauc_ndcg_at_10_max
      value: 4.285127434095809
    - type: nauc_ndcg_at_10_std
      value: 16.07742970740846
    - type: nauc_ndcg_at_1_diff1
      value: 15.120007354499974
    - type: nauc_ndcg_at_1_max
      value: -3.0703979635822294
    - type: nauc_ndcg_at_1_std
      value: 11.385855369804915
    - type: nauc_ndcg_at_20_diff1
      value: 14.446523345704215
    - type: nauc_ndcg_at_20_max
      value: 4.011697476937953
    - type: nauc_ndcg_at_20_std
      value: 17.69490562952759
    - type: nauc_ndcg_at_3_diff1
      value: 11.69290471028184
    - type: nauc_ndcg_at_3_max
      value: 1.247393927629684
    - type: nauc_ndcg_at_3_std
      value: 13.120021581495237
    - type: nauc_ndcg_at_5_diff1
      value: 13.217424085450466
    - type: nauc_ndcg_at_5_max
      value: 2.8952622533595007
    - type: nauc_ndcg_at_5_std
      value: 15.505263720262077
    - type: nauc_precision_at_1000_diff1
      value: 5.932456387976172
    - type: nauc_precision_at_1000_max
      value: 15.258643427240273
    - type: nauc_precision_at_1000_std
      value: 54.78878776579575
    - type: nauc_precision_at_100_diff1
      value: 24.980338838668352
    - type: nauc_precision_at_100_max
      value: 19.630089222816718
    - type: nauc_precision_at_100_std
      value: 44.36284980312287
    - type: nauc_precision_at_10_diff1
      value: 14.605327003787561
    - type: nauc_precision_at_10_max
      value: 9.20284541981761
    - type: nauc_precision_at_10_std
      value: 20.78623457402565
    - type: nauc_precision_at_1_diff1
      value: 15.120007354499974
    - type: nauc_precision_at_1_max
      value: -3.0703979635822294
    - type: nauc_precision_at_1_std
      value: 11.385855369804915
    - type: nauc_precision_at_20_diff1
      value: 17.821262915735662
    - type: nauc_precision_at_20_max
      value: 9.276138177862721
    - type: nauc_precision_at_20_std
      value: 27.674053798253066
    - type: nauc_precision_at_3_diff1
      value: 10.142191569673395
    - type: nauc_precision_at_3_max
      value: 2.5962302005345954
    - type: nauc_precision_at_3_std
      value: 14.266636924316572
    - type: nauc_precision_at_5_diff1
      value: 13.43316017158103
    - type: nauc_precision_at_5_max
      value: 5.886903903159331
    - type: nauc_precision_at_5_std
      value: 19.17991082336465
    - type: nauc_recall_at_1000_diff1
      value: 5.932456387976118
    - type: nauc_recall_at_1000_max
      value: 15.258643427240015
    - type: nauc_recall_at_1000_std
      value: 54.78878776579585
    - type: nauc_recall_at_100_diff1
      value: 24.9803388386684
    - type: nauc_recall_at_100_max
      value: 19.63008922281674
    - type: nauc_recall_at_100_std
      value: 44.36284980312287
    - type: nauc_recall_at_10_diff1
      value: 14.605327003787533
    - type: nauc_recall_at_10_max
      value: 9.202845419817598
    - type: nauc_recall_at_10_std
      value: 20.786234574025674
    - type: nauc_recall_at_1_diff1
      value: 15.120007354499974
    - type: nauc_recall_at_1_max
      value: -3.0703979635822294
    - type: nauc_recall_at_1_std
      value: 11.385855369804915
    - type: nauc_recall_at_20_diff1
      value: 17.821262915735687
    - type: nauc_recall_at_20_max
      value: 9.276138177862721
    - type: nauc_recall_at_20_std
      value: 27.674053798253063
    - type: nauc_recall_at_3_diff1
      value: 10.142191569673424
    - type: nauc_recall_at_3_max
      value: 2.5962302005346283
    - type: nauc_recall_at_3_std
      value: 14.266636924316611
    - type: nauc_recall_at_5_diff1
      value: 13.43316017158104
    - type: nauc_recall_at_5_max
      value: 5.886903903159316
    - type: nauc_recall_at_5_std
      value: 19.179910823364644
    - type: ndcg_at_1
      value: 14.366999999999999
    - type: ndcg_at_10
      value: 30.958999999999996
    - type: ndcg_at_100
      value: 37.151
    - type: ndcg_at_1000
      value: 39.105000000000004
    - type: ndcg_at_20
      value: 33.947
    - type: ndcg_at_3
      value: 24.248
    - type: ndcg_at_5
      value: 27.388
    - type: precision_at_1
      value: 14.366999999999999
    - type: precision_at_10
      value: 4.972
    - type: precision_at_100
      value: 0.787
    - type: precision_at_1000
      value: 0.094
    - type: precision_at_20
      value: 3.073
    - type: precision_at_3
      value: 10.408000000000001
    - type: precision_at_5
      value: 7.781000000000001
    - type: recall_at_1
      value: 14.366999999999999
    - type: recall_at_10
      value: 49.716
    - type: recall_at_100
      value: 78.73400000000001
    - type: recall_at_1000
      value: 94.31
    - type: recall_at_20
      value: 61.451
    - type: recall_at_3
      value: 31.223
    - type: recall_at_5
      value: 38.905
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P (default)
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: main_score
      value: 34.51568875245322
    - type: v_measure
      value: 34.51568875245322
    - type: v_measure_std
      value: 14.513271698986618
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S (default)
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: main_score
      value: 25.479168447834
    - type: v_measure
      value: 25.479168447834
    - type: v_measure_std
      value: 15.127365143307179
  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions (default)
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: main_score
      value: 50.869152942279385
    - type: map
      value: 50.869152942279385
    - type: mrr
      value: 64.48665523457767
    - type: nAUC_map_diff1
      value: 9.405275178754053
    - type: nAUC_map_max
      value: 19.315877278529115
    - type: nAUC_map_std
      value: 5.900875597547612
    - type: nAUC_mrr_diff1
      value: 16.245084703218915
    - type: nAUC_mrr_max
      value: 24.07783292507115
    - type: nAUC_mrr_std
      value: 6.33473363939626
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES (default)
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cosine_pearson
      value: 44.93952738747455
    - type: cosine_spearman
      value: 50.2481328896023
    - type: euclidean_pearson
      value: 36.27384624621707
    - type: euclidean_spearman
      value: 39.93283760763779
    - type: main_score
      value: 50.2481328896023
    - type: manhattan_pearson
      value: 36.08401407803879
    - type: manhattan_spearman
      value: 39.71656761953843
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification (default)
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 66.76623376623377
    - type: f1
      value: 66.58269260829559
    - type: f1_weighted
      value: 66.58269260829559
    - type: main_score
      value: 66.76623376623377
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P (default)
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: main_score
      value: 29.936308208154234
    - type: v_measure
      value: 29.936308208154234
    - type: v_measure_std
      value: 0.7215670938810923
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S (default)
      type: mteb/biorxiv-clustering-s2s
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: main_score
      value: 20.954838392051464
    - type: v_measure
      value: 20.954838392051464
    - type: v_measure_std
      value: 0.8965195715267004
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval (default)
      type: mteb/cqadupstack-android
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
    metrics:
    - type: main_score
      value: 24.562
    - type: map_at_1
      value: 15.02
    - type: map_at_10
      value: 20.427999999999997
    - type: map_at_100
      value: 21.373
    - type: map_at_1000
      value: 21.507
    - type: map_at_20
      value: 20.817
    - type: map_at_3
      value: 18.446
    - type: map_at_5
      value: 19.495
    - type: mrr_at_1
      value: 18.88412017167382
    - type: mrr_at_10
      value: 24.709108249880774
    - type: mrr_at_100
      value: 25.447636063234963
    - type: mrr_at_1000
      value: 25.524375038696554
    - type: mrr_at_20
      value: 25.017622854991135
    - type: mrr_at_3
      value: 22.484501669051028
    - type: mrr_at_5
      value: 23.750596089651882
    - type: nauc_map_at_1000_diff1
      value: 43.42894028755547
    - type: nauc_map_at_1000_max
      value: 24.95758649270816
    - type: nauc_map_at_1000_std
      value: -7.706318420758787
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      value: 43.441347714893716
    - type: nauc_map_at_100_max
      value: 24.889731961670954
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      value: 24.77670425397581
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      value: -8.343485599640918
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      value: 28.089797808726125
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      value: -10.75460205574787
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      value: 24.81009285835644
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      value: -8.084296858839087
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      value: 45.66437225027061
    - type: nauc_map_at_3_max
      value: 26.241375000637255
    - type: nauc_map_at_3_std
      value: -8.023673739928956
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      value: 44.34950803403163
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      value: 25.605344102787797
    - type: nauc_map_at_5_std
      value: -7.729578606050111
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      value: 42.466516440592926
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      value: 26.561583808773946
    - type: nauc_mrr_at_1000_std
      value: -6.581126489985946
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      value: 42.45189990095361
    - type: nauc_mrr_at_100_max
      value: 26.546342021409952
    - type: nauc_mrr_at_100_std
      value: -6.604793297233656
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      value: 42.47524736960852
    - type: nauc_mrr_at_10_max
      value: 26.497454735434516
    - type: nauc_mrr_at_10_std
      value: -7.02728315906865
    - type: nauc_mrr_at_1_diff1
      value: 49.27508808292481
    - type: nauc_mrr_at_1_max
      value: 29.984455140577015
    - type: nauc_mrr_at_1_std
      value: -9.014211496538051
    - type: nauc_mrr_at_20_diff1
      value: 42.55661827983652
    - type: nauc_mrr_at_20_max
      value: 26.61778461797562
    - type: nauc_mrr_at_20_std
      value: -6.7286634553860605
    - type: nauc_mrr_at_3_diff1
      value: 44.59868510985749
    - type: nauc_mrr_at_3_max
      value: 27.979224006353327
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      type: CQADupstackRetrieval_is_a_combined_dataset
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  - task:
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      type: mteb/emotion
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  - task:
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      type: mteb/emotion
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  - task:
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  - task:
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      type: mteb/mtop_domain
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  - task:
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      type: mteb/mtop_domain
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  - task:
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      type: mteb/mtop_intent
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  - task:
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      type: mteb/mtop_intent
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  - task:
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      type: mteb/amazon_massive_intent
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      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
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  - task:
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      type: mteb/amazon_massive_intent
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      revision: 4672e20407010da34463acc759c162ca9734bca6
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  - task:
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      type: mteb/amazon_massive_scenario
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  - task:
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      type: mteb/amazon_massive_scenario
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  - task:
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      type: mteb/medrxiv-clustering-p2p
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    - type: nauc_recall_at_1000_std
      value: 19.905807733946542
    - type: nauc_recall_at_100_diff1
      value: 2.060462939698145
    - type: nauc_recall_at_100_max
      value: 14.62419021279813
    - type: nauc_recall_at_100_std
      value: 15.805207119860516
    - type: nauc_recall_at_10_diff1
      value: 8.48087847118933
    - type: nauc_recall_at_10_max
      value: 13.311831865231236
    - type: nauc_recall_at_10_std
      value: 8.101795195543582
    - type: nauc_recall_at_1_diff1
      value: 18.039298730269138
    - type: nauc_recall_at_1_max
      value: 14.31023882202473
    - type: nauc_recall_at_1_std
      value: -0.3591053528908413
    - type: nauc_recall_at_20_diff1
      value: 6.314569406264662
    - type: nauc_recall_at_20_max
      value: 9.76209181841767
    - type: nauc_recall_at_20_std
      value: 10.6380958121179
    - type: nauc_recall_at_3_diff1
      value: 11.981115684692986
    - type: nauc_recall_at_3_max
      value: 14.659647798166809
    - type: nauc_recall_at_3_std
      value: 2.7748583693419135
    - type: nauc_recall_at_5_diff1
      value: 12.650210516742375
    - type: nauc_recall_at_5_max
      value: 14.24002653527425
    - type: nauc_recall_at_5_std
      value: 5.694892494690264
    - type: ndcg_at_1
      value: 9.1
    - type: ndcg_at_10
      value: 8.469999999999999
    - type: ndcg_at_100
      value: 13.206999999999999
    - type: ndcg_at_1000
      value: 18.076
    - type: ndcg_at_20
      value: 9.964
    - type: ndcg_at_3
      value: 7.758
    - type: ndcg_at_5
      value: 6.925000000000001
    - type: precision_at_1
      value: 9.1
    - type: precision_at_10
      value: 4.5
    - type: precision_at_100
      value: 1.1520000000000001
    - type: precision_at_1000
      value: 0.234
    - type: precision_at_20
      value: 3.11
    - type: precision_at_3
      value: 7.333
    - type: precision_at_5
      value: 6.18
    - type: recall_at_1
      value: 1.8579999999999999
    - type: recall_at_10
      value: 9.155000000000001
    - type: recall_at_100
      value: 23.455000000000002
    - type: recall_at_1000
      value: 47.625
    - type: recall_at_20
      value: 12.683
    - type: recall_at_3
      value: 4.505
    - type: recall_at_5
      value: 6.3
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R (default)
      type: mteb/sickr-sts
      config: default
      split: test
      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
    metrics:
    - type: cosine_pearson
      value: 67.40745266329591
    - type: cosine_spearman
      value: 55.48988811622464
    - type: euclidean_pearson
      value: 56.64110483113514
    - type: euclidean_spearman
      value: 52.56015050620609
    - type: main_score
      value: 55.48988811622464
    - type: manhattan_pearson
      value: 56.620739146260355
    - type: manhattan_spearman
      value: 52.57278457053056
  - task:
      type: STS
    dataset:
      name: MTEB STS12 (default)
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cosine_pearson
      value: 60.71776028645086
    - type: cosine_spearman
      value: 53.51289728749782
    - type: euclidean_pearson
      value: 55.155862584848556
    - type: euclidean_spearman
      value: 50.616899710863926
    - type: main_score
      value: 53.51289728749782
    - type: manhattan_pearson
      value: 55.12958983969065
    - type: manhattan_spearman
      value: 50.615571438753825
  - task:
      type: STS
    dataset:
      name: MTEB STS13 (default)
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cosine_pearson
      value: 66.28723275783524
    - type: cosine_spearman
      value: 70.80105270649192
    - type: euclidean_pearson
      value: 63.17342773278036
    - type: euclidean_spearman
      value: 68.04978745416297
    - type: main_score
      value: 70.80105270649192
    - type: manhattan_pearson
      value: 63.307977806683624
    - type: manhattan_spearman
      value: 68.15603387498501
  - task:
      type: STS
    dataset:
      name: MTEB STS14 (default)
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cosine_pearson
      value: 66.32738491357128
    - type: cosine_spearman
      value: 63.56156596006354
    - type: euclidean_pearson
      value: 60.77234239072363
    - type: euclidean_spearman
      value: 59.82854639930626
    - type: main_score
      value: 63.56156596006354
    - type: manhattan_pearson
      value: 60.727062637807514
    - type: manhattan_spearman
      value: 59.82525574450547
  - task:
      type: STS
    dataset:
      name: MTEB STS15 (default)
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cosine_pearson
      value: 70.65242939251758
    - type: cosine_spearman
      value: 74.0811942569614
    - type: euclidean_pearson
      value: 64.4398938761914
    - type: euclidean_spearman
      value: 69.02073301173178
    - type: main_score
      value: 74.0811942569614
    - type: manhattan_pearson
      value: 64.36840991082721
    - type: manhattan_spearman
      value: 68.93733645543237
  - task:
      type: STS
    dataset:
      name: MTEB STS16 (default)
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cosine_pearson
      value: 57.66178270032967
    - type: cosine_spearman
      value: 64.60112935555931
    - type: euclidean_pearson
      value: 51.6624216594181
    - type: euclidean_spearman
      value: 58.48027809262631
    - type: main_score
      value: 64.60112935555931
    - type: manhattan_pearson
      value: 51.67275255747956
    - type: manhattan_spearman
      value: 58.51993555176014
  - 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: 74.962376979876
    - type: cosine_spearman
      value: 76.91005426258415
    - type: euclidean_pearson
      value: 69.18702368547565
    - type: euclidean_spearman
      value: 72.7967496412359
    - type: main_score
      value: 76.91005426258415
    - type: manhattan_pearson
      value: 69.51475539291788
    - type: manhattan_spearman
      value: 73.1205789749194
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 42.989838819327645
    - type: cosine_spearman
      value: 54.41645863994751
    - type: euclidean_pearson
      value: 46.463633715286825
    - type: euclidean_spearman
      value: 53.26125908813254
    - type: main_score
      value: 54.41645863994751
    - type: manhattan_pearson
      value: 46.3090539719663
    - type: manhattan_spearman
      value: 53.23952890070585
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark (default)
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cosine_pearson
      value: 58.94057926227806
    - type: cosine_spearman
      value: 61.552817487762276
    - type: euclidean_pearson
      value: 53.47624658314033
    - type: euclidean_spearman
      value: 58.03174405895781
    - type: main_score
      value: 61.552817487762276
    - type: manhattan_pearson
      value: 53.518204882849815
    - type: manhattan_spearman
      value: 58.01595959625671
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR (default)
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: main_score
      value: 63.55311507513623
    - type: map
      value: 63.55311507513623
    - type: mrr
      value: 85.72307412993688
    - type: nAUC_map_diff1
      value: 11.268201025650207
    - type: nAUC_map_max
      value: 51.45548943457066
    - type: nAUC_map_std
      value: 50.814308655995376
    - type: nAUC_mrr_diff1
      value: 40.88320903735142
    - type: nAUC_mrr_max
      value: 65.2228452078348
    - type: nAUC_mrr_std
      value: 48.927442483105054
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact (default)
      type: mteb/scifact
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
    - type: main_score
      value: 29.526000000000003
    - type: map_at_1
      value: 18.667
    - type: map_at_10
      value: 25.737
    - type: map_at_100
      value: 26.596999999999998
    - type: map_at_1000
      value: 26.716
    - type: map_at_20
      value: 26.169999999999998
    - type: map_at_3
      value: 23.662
    - type: map_at_5
      value: 25.047000000000004
    - type: mrr_at_1
      value: 20.0
    - type: mrr_at_10
      value: 26.93544973544974
    - type: mrr_at_100
      value: 27.71516198853175
    - type: mrr_at_1000
      value: 27.826849561947952
    - type: mrr_at_20
      value: 27.315907634676996
    - type: mrr_at_3
      value: 25.111111111111118
    - type: mrr_at_5
      value: 26.39444444444445
    - type: nauc_map_at_1000_diff1
      value: 38.90875196518647
    - type: nauc_map_at_1000_max
      value: 16.698673149307297
    - type: nauc_map_at_1000_std
      value: -5.498893443185168
    - type: nauc_map_at_100_diff1
      value: 38.83044667513577
    - type: nauc_map_at_100_max
      value: 16.71972262772784
    - type: nauc_map_at_100_std
      value: -5.539865548642064
    - type: nauc_map_at_10_diff1
      value: 39.25926884874051
    - type: nauc_map_at_10_max
      value: 16.524942017241298
    - type: nauc_map_at_10_std
      value: -5.749202543826665
    - type: nauc_map_at_1_diff1
      value: 49.05457170137309
    - type: nauc_map_at_1_max
      value: 14.868259525325092
    - type: nauc_map_at_1_std
      value: -4.292079658088571
    - type: nauc_map_at_20_diff1
      value: 38.93437072499329
    - type: nauc_map_at_20_max
      value: 16.922919039737465
    - type: nauc_map_at_20_std
      value: -5.749332924489055
    - type: nauc_map_at_3_diff1
      value: 41.05455892849972
    - type: nauc_map_at_3_max
      value: 14.955141225461105
    - type: nauc_map_at_3_std
      value: -5.272350889513596
    - type: nauc_map_at_5_diff1
      value: 39.5626587033532
    - type: nauc_map_at_5_max
      value: 16.12147315191173
    - type: nauc_map_at_5_std
      value: -5.198787066265291
    - type: nauc_mrr_at_1000_diff1
      value: 39.67774750351995
    - type: nauc_mrr_at_1000_max
      value: 18.633109278880546
    - type: nauc_mrr_at_1000_std
      value: -3.948466765941238
    - type: nauc_mrr_at_100_diff1
      value: 39.62056355901267
    - type: nauc_mrr_at_100_max
      value: 18.651758561578582
    - type: nauc_mrr_at_100_std
      value: -3.961746267971273
    - type: nauc_mrr_at_10_diff1
      value: 39.931392296273856
    - type: nauc_mrr_at_10_max
      value: 18.727459536451708
    - type: nauc_mrr_at_10_std
      value: -4.210421660343737
    - type: nauc_mrr_at_1_diff1
      value: 48.406522441072006
    - type: nauc_mrr_at_1_max
      value: 16.838876331934127
    - type: nauc_mrr_at_1_std
      value: -2.6170487568614895
    - type: nauc_mrr_at_20_diff1
      value: 39.69004320626915
    - type: nauc_mrr_at_20_max
      value: 18.85971232253515
    - type: nauc_mrr_at_20_std
      value: -4.07062911097351
    - type: nauc_mrr_at_3_diff1
      value: 41.60627165091408
    - type: nauc_mrr_at_3_max
      value: 18.181257422583062
    - type: nauc_mrr_at_3_std
      value: -4.4676136868319665
    - type: nauc_mrr_at_5_diff1
      value: 40.15073323512161
    - type: nauc_mrr_at_5_max
      value: 18.853660646196314
    - type: nauc_mrr_at_5_std
      value: -3.802773314454374
    - type: nauc_ndcg_at_1000_diff1
      value: 36.26334480758162
    - type: nauc_ndcg_at_1000_max
      value: 17.014745910821055
    - type: nauc_ndcg_at_1000_std
      value: -4.083781540768397
    - type: nauc_ndcg_at_100_diff1
      value: 34.49895308783121
    - type: nauc_ndcg_at_100_max
      value: 17.585730394111827
    - type: nauc_ndcg_at_100_std
      value: -4.494791613876944
    - type: nauc_ndcg_at_10_diff1
      value: 35.73990126300614
    - type: nauc_ndcg_at_10_max
      value: 18.119833878973406
    - type: nauc_ndcg_at_10_std
      value: -6.07251256812303
    - type: nauc_ndcg_at_1_diff1
      value: 48.406522441072006
    - type: nauc_ndcg_at_1_max
      value: 16.838876331934127
    - type: nauc_ndcg_at_1_std
      value: -2.6170487568614895
    - type: nauc_ndcg_at_20_diff1
      value: 34.60626344607442
    - type: nauc_ndcg_at_20_max
      value: 19.058859800970822
    - type: nauc_ndcg_at_20_std
      value: -5.731769224880343
    - type: nauc_ndcg_at_3_diff1
      value: 38.974986846940595
    - type: nauc_ndcg_at_3_max
      value: 15.997704782372086
    - type: nauc_ndcg_at_3_std
      value: -5.48762762284936
    - type: nauc_ndcg_at_5_diff1
      value: 36.40308278328965
    - type: nauc_ndcg_at_5_max
      value: 17.623597768125
    - type: nauc_ndcg_at_5_std
      value: -5.0004230501207285
    - type: nauc_precision_at_1000_diff1
      value: 8.618812295837216
    - type: nauc_precision_at_1000_max
      value: 12.884728137261888
    - type: nauc_precision_at_1000_std
      value: 14.476795505357366
    - type: nauc_precision_at_100_diff1
      value: 14.169703894875784
    - type: nauc_precision_at_100_max
      value: 21.652908843751838
    - type: nauc_precision_at_100_std
      value: 4.072184243188446
    - type: nauc_precision_at_10_diff1
      value: 21.621957511552335
    - type: nauc_precision_at_10_max
      value: 24.674331810598392
    - type: nauc_precision_at_10_std
      value: -6.535206812010593
    - type: nauc_precision_at_1_diff1
      value: 48.406522441072006
    - type: nauc_precision_at_1_max
      value: 16.838876331934127
    - type: nauc_precision_at_1_std
      value: -2.6170487568614895
    - type: nauc_precision_at_20_diff1
      value: 16.594862260676805
    - type: nauc_precision_at_20_max
      value: 27.67300094746059
    - type: nauc_precision_at_20_std
      value: -3.3139669997676195
    - type: nauc_precision_at_3_diff1
      value: 32.412407494330125
    - type: nauc_precision_at_3_max
      value: 19.660114318802954
    - type: nauc_precision_at_3_std
      value: -5.772090595238624
    - type: nauc_precision_at_5_diff1
      value: 24.133501401010022
    - type: nauc_precision_at_5_max
      value: 22.400905638563533
    - type: nauc_precision_at_5_std
      value: -3.738167687651009
    - type: nauc_recall_at_1000_diff1
      value: 29.949265294092797
    - type: nauc_recall_at_1000_max
      value: -5.517971998702277
    - type: nauc_recall_at_1000_std
      value: 13.18470801229431
    - type: nauc_recall_at_100_diff1
      value: 19.138600199031323
    - type: nauc_recall_at_100_max
      value: 14.981553890290922
    - type: nauc_recall_at_100_std
      value: -0.8392004918377559
    - type: nauc_recall_at_10_diff1
      value: 25.63192875975604
    - type: nauc_recall_at_10_max
      value: 19.82756204669105
    - type: nauc_recall_at_10_std
      value: -8.179736169069097
    - type: nauc_recall_at_1_diff1
      value: 49.05457170137309
    - type: nauc_recall_at_1_max
      value: 14.868259525325092
    - type: nauc_recall_at_1_std
      value: -4.292079658088571
    - type: nauc_recall_at_20_diff1
      value: 21.25266330954768
    - type: nauc_recall_at_20_max
      value: 22.57414610030232
    - type: nauc_recall_at_20_std
      value: -7.0182308187024685
    - type: nauc_recall_at_3_diff1
      value: 32.44875479342593
    - type: nauc_recall_at_3_max
      value: 15.451829298414783
    - type: nauc_recall_at_3_std
      value: -6.466943886230113
    - type: nauc_recall_at_5_diff1
      value: 27.358984452382145
    - type: nauc_recall_at_5_max
      value: 19.0178408887355
    - type: nauc_recall_at_5_std
      value: -5.510234533099017
    - type: ndcg_at_1
      value: 20.0
    - type: ndcg_at_10
      value: 29.526000000000003
    - type: ndcg_at_100
      value: 34.256
    - type: ndcg_at_1000
      value: 37.79
    - type: ndcg_at_20
      value: 31.032
    - type: ndcg_at_3
      value: 25.674000000000003
    - type: ndcg_at_5
      value: 28.072999999999997
    - type: precision_at_1
      value: 20.0
    - type: precision_at_10
      value: 4.433
    - type: precision_at_100
      value: 0.703
    - type: precision_at_1000
      value: 0.10200000000000001
    - type: precision_at_20
      value: 2.5829999999999997
    - type: precision_at_3
      value: 10.778
    - type: precision_at_5
      value: 7.867
    - type: recall_at_1
      value: 18.667
    - type: recall_at_10
      value: 39.944
    - type: recall_at_100
      value: 63.361000000000004
    - type: recall_at_1000
      value: 91.622
    - type: recall_at_20
      value: 45.667
    - type: recall_at_3
      value: 30.194
    - type: recall_at_5
      value: 35.806
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact (default)
      type: mteb/scifact
      config: default
      split: train
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
    - type: main_score
      value: 32.208999999999996
    - type: map_at_1
      value: 19.750999999999998
    - type: map_at_10
      value: 27.778999999999996
    - type: map_at_100
      value: 28.776000000000003
    - type: map_at_1000
      value: 28.88
    - type: map_at_20
      value: 28.363
    - type: map_at_3
      value: 25.145
    - type: map_at_5
      value: 26.76
    - type: mrr_at_1
      value: 21.631644004944377
    - type: mrr_at_10
      value: 29.26849726293484
    - type: mrr_at_100
      value: 30.164315874353086
    - type: mrr_at_1000
      value: 30.257277883856347
    - type: mrr_at_20
      value: 29.822712901868847
    - type: mrr_at_3
      value: 26.946847960445
    - type: mrr_at_5
      value: 28.343634116192835
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      value: -0.017636284022635965
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      value: 15.57045527204528
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      value: -1.8552293654406165
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    - type: nauc_recall_at_5_std
      value: 0.34474131049346224
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    - type: ndcg_at_10
      value: 32.208999999999996
    - type: ndcg_at_100
      value: 37.049
    - type: ndcg_at_1000
      value: 40.028999999999996
    - type: ndcg_at_20
      value: 34.298
    - type: ndcg_at_3
      value: 27.24
    - type: ndcg_at_5
      value: 29.906
    - type: precision_at_1
      value: 21.632
    - type: precision_at_10
      value: 5.0680000000000005
    - type: precision_at_100
      value: 0.771
    - type: precision_at_1000
      value: 0.10300000000000001
    - type: precision_at_20
      value: 3.004
    - type: precision_at_3
      value: 11.619
    - type: precision_at_5
      value: 8.554
    - type: recall_at_1
      value: 19.750999999999998
    - type: recall_at_10
      value: 44.456
    - type: recall_at_100
      value: 66.842
    - type: recall_at_1000
      value: 90.554
    - type: recall_at_20
      value: 52.515
    - type: recall_at_3
      value: 31.401
    - type: recall_at_5
      value: 37.708999999999996
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions (default)
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
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      value: 99.64653465346535
    - type: cosine_accuracy_threshold
      value: 88.94755840301514
    - type: cosine_ap
      value: 85.55090209842295
    - type: cosine_f1
      value: 81.03896103896105
    - type: cosine_f1_threshold
      value: 88.06538581848145
    - type: cosine_precision
      value: 84.32432432432432
    - type: cosine_recall
      value: 78.0
    - type: dot_accuracy
      value: 99.03762376237624
    - type: dot_accuracy_threshold
      value: 1075.7030487060547
    - type: dot_ap
      value: 25.21099059479159
    - type: dot_f1
      value: 31.765253842571028
    - type: dot_f1_threshold
      value: 850.6962776184082
    - type: dot_precision
      value: 29.72972972972973
    - type: dot_recall
      value: 34.1
    - type: euclidean_accuracy
      value: 99.62673267326733
    - type: euclidean_accuracy_threshold
      value: 139.87888097763062
    - type: euclidean_ap
      value: 82.49414959124407
    - type: euclidean_f1
      value: 79.36507936507937
    - type: euclidean_f1_threshold
      value: 139.87888097763062
    - type: euclidean_precision
      value: 87.66626360338573
    - type: euclidean_recall
      value: 72.5
    - type: main_score
      value: 85.55090209842295
    - type: manhattan_accuracy
      value: 99.62574257425743
    - type: manhattan_accuracy_threshold
      value: 1919.0616607666016
    - type: manhattan_ap
      value: 82.48883233150048
    - type: manhattan_f1
      value: 79.23076923076923
    - type: manhattan_f1_threshold
      value: 1919.0616607666016
    - type: manhattan_precision
      value: 87.92682926829268
    - type: manhattan_recall
      value: 72.1
    - type: max_accuracy
      value: 99.64653465346535
    - type: max_ap
      value: 85.55090209842295
    - type: max_f1
      value: 81.03896103896105
    - type: max_precision
      value: 87.92682926829268
    - type: max_recall
      value: 78.0
    - type: similarity_accuracy
      value: 99.64653465346535
    - type: similarity_accuracy_threshold
      value: 88.94755840301514
    - type: similarity_ap
      value: 85.55062536231317
    - type: similarity_f1
      value: 81.03896103896105
    - type: similarity_f1_threshold
      value: 88.06538581848145
    - type: similarity_precision
      value: 84.32432432432432
    - type: similarity_recall
      value: 78.0
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions (default)
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: validation
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
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      value: 99.60396039603961
    - type: cosine_accuracy_threshold
      value: 90.01673460006714
    - type: cosine_ap
      value: 83.01228862847526
    - type: cosine_f1
      value: 78.17312798725438
    - type: cosine_f1_threshold
      value: 88.54530453681946
    - type: cosine_precision
      value: 83.35220838052095
    - type: cosine_recall
      value: 73.6
    - type: dot_accuracy
      value: 99.02772277227723
    - type: dot_accuracy_threshold
      value: 1110.744857788086
    - type: dot_ap
      value: 22.52218563381859
    - type: dot_f1
      value: 30.113141862489123
    - type: dot_f1_threshold
      value: 849.8266220092773
    - type: dot_precision
      value: 26.656394453004623
    - type: dot_recall
      value: 34.599999999999994
    - type: euclidean_accuracy
      value: 99.58712871287129
    - type: euclidean_accuracy_threshold
      value: 134.52991247177124
    - type: euclidean_ap
      value: 80.92115563373864
    - type: euclidean_f1
      value: 77.02127659574468
    - type: euclidean_f1_threshold
      value: 142.99077987670898
    - type: euclidean_precision
      value: 82.27272727272728
    - type: euclidean_recall
      value: 72.39999999999999
    - type: main_score
      value: 83.01228862847526
    - type: manhattan_accuracy
      value: 99.58217821782178
    - type: manhattan_accuracy_threshold
      value: 1893.684196472168
    - type: manhattan_ap
      value: 80.76933282645034
    - type: manhattan_f1
      value: 76.57754010695186
    - type: manhattan_f1_threshold
      value: 1969.699478149414
    - type: manhattan_precision
      value: 82.29885057471265
    - type: manhattan_recall
      value: 71.6
    - type: max_accuracy
      value: 99.60396039603961
    - type: max_ap
      value: 83.01228862847526
    - type: max_f1
      value: 78.17312798725438
    - type: max_precision
      value: 83.35220838052095
    - type: max_recall
      value: 73.6
    - type: similarity_accuracy
      value: 99.60396039603961
    - type: similarity_accuracy_threshold
      value: 90.01673460006714
    - type: similarity_ap
      value: 83.01216562298424
    - type: similarity_f1
      value: 78.17312798725438
    - type: similarity_f1_threshold
      value: 88.54529857635498
    - type: similarity_precision
      value: 83.35220838052095
    - type: similarity_recall
      value: 73.6
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering (default)
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: main_score
      value: 39.515271541565205
    - type: v_measure
      value: 39.515271541565205
    - type: v_measure_std
      value: 3.8157758492289964
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P (default)
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
    - type: main_score
      value: 27.899435497123438
    - type: v_measure
      value: 27.899435497123438
    - type: v_measure_std
      value: 1.6019853493964817
  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions (default)
      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: main_score
      value: 35.63422266081505
    - type: map
      value: 35.63422266081505
    - type: mrr
      value: 36.807796982429345
    - type: nAUC_map_diff1
      value: 26.666870201624004
    - type: nAUC_map_max
      value: 13.080333206721551
    - type: nAUC_map_std
      value: -6.881272733047387
    - type: nAUC_mrr_diff1
      value: 20.676894534971595
    - type: nAUC_mrr_max
      value: 17.968238284800584
    - type: nAUC_mrr_std
      value: -4.994281211783994
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval (default)
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cosine_pearson
      value: 31.113362641367416
    - type: cosine_spearman
      value: 30.502287149942592
    - type: dot_pearson
      value: 19.294344459453956
    - type: dot_spearman
      value: 20.392377472328057
    - type: main_score
      value: 30.502287149942592
    - type: pearson
      value: 31.113350499491155
    - type: spearman
      value: 30.49918290509572
  - task:
      type: Retrieval
    dataset:
      name: MTEB TRECCOVID (default)
      type: mteb/trec-covid
      config: default
      split: test
      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
    metrics:
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      value: 35.923
    - type: map_at_1
      value: 0.128
    - type: map_at_10
      value: 0.7250000000000001
    - type: map_at_100
      value: 2.391
    - type: map_at_1000
      value: 5.172000000000001
    - type: map_at_20
      value: 1.023
    - type: map_at_3
      value: 0.328
    - type: map_at_5
      value: 0.486
    - type: mrr_at_1
      value: 48.0
    - type: mrr_at_10
      value: 60.469047619047615
    - type: mrr_at_100
      value: 61.31153650271297
    - type: mrr_at_1000
      value: 61.31599084569738
    - type: mrr_at_20
      value: 61.23751052868699
    - type: mrr_at_3
      value: 59.0
    - type: mrr_at_5
      value: 59.399999999999984
    - type: nauc_map_at_1000_diff1
      value: 6.633672215390218
    - type: nauc_map_at_1000_max
      value: 33.21260081274754
    - type: nauc_map_at_1000_std
      value: 41.03482629480025
    - type: nauc_map_at_100_diff1
      value: 10.531162540864399
    - type: nauc_map_at_100_max
      value: 23.03095240506771
    - type: nauc_map_at_100_std
      value: 30.80087333382512
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      value: -2.8114974167869193
    - type: nauc_map_at_10_max
      value: 2.0423014894316243
    - type: nauc_map_at_10_std
      value: 16.283864542392415
    - type: nauc_map_at_1_diff1
      value: 0.1782017157375438
    - type: nauc_map_at_1_max
      value: -8.789897637515832
    - type: nauc_map_at_1_std
      value: 0.4973294620610552
    - type: nauc_map_at_20_diff1
      value: 2.3820789356483325
    - type: nauc_map_at_20_max
      value: 7.20053550756653
    - type: nauc_map_at_20_std
      value: 21.455996589757845
    - type: nauc_map_at_3_diff1
      value: 4.504854275606629
    - type: nauc_map_at_3_max
      value: -2.5693219044417117
    - type: nauc_map_at_3_std
      value: 12.739392924768882
    - type: nauc_map_at_5_diff1
      value: 3.9696480366034224
    - type: nauc_map_at_5_max
      value: -1.1779979417218152
    - type: nauc_map_at_5_std
      value: 17.4497348259494
    - type: nauc_mrr_at_1000_diff1
      value: 24.75100559480381
    - type: nauc_mrr_at_1000_max
      value: 9.95763749023373
    - type: nauc_mrr_at_1000_std
      value: 6.13398634519912
    - type: nauc_mrr_at_100_diff1
      value: 24.752735314741965
    - type: nauc_mrr_at_100_max
      value: 9.938061896740088
    - type: nauc_mrr_at_100_std
      value: 6.13494756268298
    - type: nauc_mrr_at_10_diff1
      value: 25.326714458028377
    - type: nauc_mrr_at_10_max
      value: 9.820219541900055
    - type: nauc_mrr_at_10_std
      value: 6.381369015536628
    - type: nauc_mrr_at_1_diff1
      value: 21.670900815073566
    - type: nauc_mrr_at_1_max
      value: 5.901344342119195
    - type: nauc_mrr_at_1_std
      value: 7.174235206944012
    - type: nauc_mrr_at_20_diff1
      value: 24.76356158895378
    - type: nauc_mrr_at_20_max
      value: 10.082751937806862
    - type: nauc_mrr_at_20_std
      value: 6.041604148094304
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  - task:
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      type: mteb/touche2020
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      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
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  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification (default)
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
    metrics:
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    - type: f1
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  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification (default)
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
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  - task:
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      name: MTEB TwentyNewsgroupsClustering (default)
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
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  - task:
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      name: MTEB TwitterSemEval2015 (default)
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
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      value: 80.93818918757823
    - type: similarity_accuracy_threshold
      value: 85.52719354629517
    - type: similarity_ap
      value: 53.89253293239196
    - type: similarity_f1
      value: 54.37434646218195
    - type: similarity_f1_threshold
      value: 80.31864166259766
    - type: similarity_precision
      value: 48.57795308283164
    - type: similarity_recall
      value: 61.74142480211082
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus (default)
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cosine_accuracy
      value: 86.30418752668142
    - type: cosine_accuracy_threshold
      value: 82.06204771995544
    - type: cosine_ap
      value: 79.41032516266456
    - type: cosine_f1
      value: 72.25173083263122
    - type: cosine_f1_threshold
      value: 79.17131185531616
    - type: cosine_precision
      value: 68.91202571448535
    - type: cosine_recall
      value: 75.93162919618109
    - type: dot_accuracy
      value: 82.01187565490744
    - type: dot_accuracy_threshold
      value: 602.0369052886963
    - type: dot_ap
      value: 66.20375259390481
    - type: dot_f1
      value: 65.31670176575409
    - type: dot_f1_threshold
      value: 544.6255683898926
    - type: dot_precision
      value: 56.385299546903845
    - type: dot_recall
      value: 77.61010163227596
    - type: euclidean_accuracy
      value: 85.48531066868476
    - type: euclidean_accuracy_threshold
      value: 155.22809028625488
    - type: euclidean_ap
      value: 76.62518612326706
    - type: euclidean_f1
      value: 69.57865380266827
    - type: euclidean_f1_threshold
      value: 169.5176362991333
    - type: euclidean_precision
      value: 68.14557803041488
    - type: euclidean_recall
      value: 71.07329842931938
    - type: main_score
      value: 79.41032516266456
    - type: manhattan_accuracy
      value: 85.4697869367796
    - type: manhattan_accuracy_threshold
      value: 2141.2647247314453
    - type: manhattan_ap
      value: 76.54865554511647
    - type: manhattan_f1
      value: 69.61738736699118
    - type: manhattan_f1_threshold
      value: 2340.584945678711
    - type: manhattan_precision
      value: 68.26254254846825
    - type: manhattan_recall
      value: 71.02710194025255
    - type: max_accuracy
      value: 86.30418752668142
    - type: max_ap
      value: 79.41032516266456
    - type: max_f1
      value: 72.25173083263122
    - type: max_precision
      value: 68.91202571448535
    - type: max_recall
      value: 77.61010163227596
    - type: similarity_accuracy
      value: 86.30418752668142
    - type: similarity_accuracy_threshold
      value: 82.06204771995544
    - type: similarity_ap
      value: 79.3959193975441
    - type: similarity_f1
      value: 72.25173083263122
    - type: similarity_f1_threshold
      value: 79.17131185531616
    - type: similarity_precision
      value: 68.91202571448535
    - type: similarity_recall
      value: 75.93162919618109
---
