mteb model-index region:us
---
tags:
- mteb
model-index:
- name: xlm_0b6_mixlang_newstep3
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 68.61194029850746
    - type: ap
      value: 30.653298301473487
    - type: f1
      value: 62.25241612666261
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 93.38145000000002
    - type: ap
      value: 90.31356902458496
    - type: f1
      value: 93.37421180090173
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 50.64400000000001
    - type: f1
      value: 48.975535848642295
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna
      type: arguana
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 18.777
    - type: map_at_10
      value: 32.274
    - type: map_at_100
      value: 33.652
    - type: map_at_1000
      value: 33.669
    - type: map_at_3
      value: 27.276
    - type: map_at_5
      value: 29.758000000000003
    - type: mrr_at_1
      value: 19.63
    - type: mrr_at_10
      value: 32.573
    - type: mrr_at_100
      value: 33.951
    - type: mrr_at_1000
      value: 33.967999999999996
    - type: mrr_at_3
      value: 27.608
    - type: mrr_at_5
      value: 30.047
    - type: ndcg_at_1
      value: 18.777
    - type: ndcg_at_10
      value: 40.774
    - type: ndcg_at_100
      value: 46.931
    - type: ndcg_at_1000
      value: 47.359
    - type: ndcg_at_3
      value: 30.213
    - type: ndcg_at_5
      value: 34.705999999999996
    - type: precision_at_1
      value: 18.777
    - type: precision_at_10
      value: 6.842
    - type: precision_at_100
      value: 0.959
    - type: precision_at_1000
      value: 0.099
    - type: precision_at_3
      value: 12.921
    - type: precision_at_5
      value: 9.943
    - type: recall_at_1
      value: 18.777
    - type: recall_at_10
      value: 68.42099999999999
    - type: recall_at_100
      value: 95.946
    - type: recall_at_1000
      value: 99.289
    - type: recall_at_3
      value: 38.762
    - type: recall_at_5
      value: 49.716
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 45.53512209912995
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 38.432491784931464
  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 61.11465519830743
    - type: mrr
      value: 74.41509475442992
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 82.1318467537697
    - type: cos_sim_spearman
      value: 80.25062374562512
    - type: euclidean_pearson
      value: 81.08228995090938
    - type: euclidean_spearman
      value: 80.25062374562512
    - type: manhattan_pearson
      value: 80.69075497902021
    - type: manhattan_spearman
      value: 79.63916402996817
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 78.50324675324674
    - type: f1
      value: 77.34014983227601
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: v_measure
      value: 39.3047565513338
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S
      type: mteb/biorxiv-clustering-s2s
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: v_measure
      value: 35.114800929695775
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: BeIR/cqadupstack
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 31.757
    - type: map_at_10
      value: 43.443
    - type: map_at_100
      value: 44.972
    - type: map_at_1000
      value: 45.092999999999996
    - type: map_at_3
      value: 39.566
    - type: map_at_5
      value: 41.628
    - type: mrr_at_1
      value: 39.485
    - type: mrr_at_10
      value: 49.597
    - type: mrr_at_100
      value: 50.275999999999996
    - type: mrr_at_1000
      value: 50.312999999999995
    - type: mrr_at_3
      value: 46.876
    - type: mrr_at_5
      value: 48.35
    - type: ndcg_at_1
      value: 39.485
    - type: ndcg_at_10
      value: 50.11600000000001
    - type: ndcg_at_100
      value: 55.469
    - type: ndcg_at_1000
      value: 57.253
    - type: ndcg_at_3
      value: 44.695
    - type: ndcg_at_5
      value: 46.963
    - type: precision_at_1
      value: 39.485
    - type: precision_at_10
      value: 9.8
    - type: precision_at_100
      value: 1.5789999999999997
    - type: precision_at_1000
      value: 0.20400000000000001
    - type: precision_at_3
      value: 21.793000000000003
    - type: precision_at_5
      value: 15.651000000000002
    - type: recall_at_1
      value: 31.757
    - type: recall_at_10
      value: 62.861
    - type: recall_at_100
      value: 85.09
    - type: recall_at_1000
      value: 96.54
    - type: recall_at_3
      value: 46.981
    - type: recall_at_5
      value: 53.488
    - type: map_at_1
      value: 24.616
    - type: map_at_10
      value: 33.999
    - type: map_at_100
      value: 35.299
    - type: map_at_1000
      value: 35.44
    - type: map_at_3
      value: 31.283
    - type: map_at_5
      value: 32.71
    - type: mrr_at_1
      value: 30.701
    - type: mrr_at_10
      value: 39.115
    - type: mrr_at_100
      value: 39.912
    - type: mrr_at_1000
      value: 39.963
    - type: mrr_at_3
      value: 36.975
    - type: mrr_at_5
      value: 38.118
    - type: ndcg_at_1
      value: 30.701
    - type: ndcg_at_10
      value: 39.454
    - type: ndcg_at_100
      value: 44.393
    - type: ndcg_at_1000
      value: 46.822
    - type: ndcg_at_3
      value: 35.317
    - type: ndcg_at_5
      value: 37.066
    - type: precision_at_1
      value: 30.701
    - type: precision_at_10
      value: 7.661999999999999
    - type: precision_at_100
      value: 1.308
    - type: precision_at_1000
      value: 0.185
    - type: precision_at_3
      value: 17.346
    - type: precision_at_5
      value: 12.203999999999999
    - type: recall_at_1
      value: 24.616
    - type: recall_at_10
      value: 49.681
    - type: recall_at_100
      value: 70.729
    - type: recall_at_1000
      value: 86.361
    - type: recall_at_3
      value: 37.677
    - type: recall_at_5
      value: 42.713
    - type: map_at_1
      value: 36.11
    - type: map_at_10
      value: 47.619
    - type: map_at_100
      value: 48.758
    - type: map_at_1000
      value: 48.818
    - type: map_at_3
      value: 44.354
    - type: map_at_5
      value: 46.192
    - type: mrr_at_1
      value: 41.379
    - type: mrr_at_10
      value: 51.075
    - type: mrr_at_100
      value: 51.807
    - type: mrr_at_1000
      value: 51.842
    - type: mrr_at_3
      value: 48.464
    - type: mrr_at_5
      value: 49.944
    - type: ndcg_at_1
      value: 41.379
    - type: ndcg_at_10
      value: 53.510999999999996
    - type: ndcg_at_100
      value: 57.981
    - type: ndcg_at_1000
      value: 59.245999999999995
    - type: ndcg_at_3
      value: 47.915
    - type: ndcg_at_5
      value: 50.586
    - type: precision_at_1
      value: 41.379
    - type: precision_at_10
      value: 8.770999999999999
    - type: precision_at_100
      value: 1.193
    - type: precision_at_1000
      value: 0.134
    - type: precision_at_3
      value: 21.587999999999997
    - type: precision_at_5
      value: 14.934
    - type: recall_at_1
      value: 36.11
    - type: recall_at_10
      value: 67.539
    - type: recall_at_100
      value: 86.803
    - type: recall_at_1000
      value: 95.889
    - type: recall_at_3
      value: 52.312999999999995
    - type: recall_at_5
      value: 58.967999999999996
    - type: map_at_1
      value: 16.831
    - type: map_at_10
      value: 24.314
    - type: map_at_100
      value: 25.374999999999996
    - type: map_at_1000
      value: 25.474000000000004
    - type: map_at_3
      value: 21.884
    - type: map_at_5
      value: 23.203
    - type: mrr_at_1
      value: 18.079
    - type: mrr_at_10
      value: 25.741000000000003
    - type: mrr_at_100
      value: 26.728
    - type: mrr_at_1000
      value: 26.808
    - type: mrr_at_3
      value: 23.39
    - type: mrr_at_5
      value: 24.684
    - type: ndcg_at_1
      value: 18.079
    - type: ndcg_at_10
      value: 28.738000000000003
    - type: ndcg_at_100
      value: 34.408
    - type: ndcg_at_1000
      value: 37.129
    - type: ndcg_at_3
      value: 23.921999999999997
    - type: ndcg_at_5
      value: 26.151000000000003
    - type: precision_at_1
      value: 18.079
    - type: precision_at_10
      value: 4.768
    - type: precision_at_100
      value: 0.8089999999999999
    - type: precision_at_1000
      value: 0.109
    - type: precision_at_3
      value: 10.508000000000001
    - type: precision_at_5
      value: 7.661
    - type: recall_at_1
      value: 16.831
    - type: recall_at_10
      value: 40.967
    - type: recall_at_100
      value: 68.059
    - type: recall_at_1000
      value: 88.836
    - type: recall_at_3
      value: 27.927999999999997
    - type: recall_at_5
      value: 33.201
    - type: map_at_1
      value: 8.937000000000001
    - type: map_at_10
      value: 15.146
    - type: map_at_100
      value: 16.29
    - type: map_at_1000
      value: 16.441
    - type: map_at_3
      value: 13.014999999999999
    - type: map_at_5
      value: 14.088999999999999
    - type: mrr_at_1
      value: 11.193999999999999
    - type: mrr_at_10
      value: 18.199
    - type: mrr_at_100
      value: 19.278000000000002
    - type: mrr_at_1000
      value: 19.378
    - type: mrr_at_3
      value: 15.878999999999998
    - type: mrr_at_5
      value: 17.141000000000002
    - type: ndcg_at_1
      value: 11.193999999999999
    - type: ndcg_at_10
      value: 19.286
    - type: ndcg_at_100
      value: 25.291999999999998
    - type: ndcg_at_1000
      value: 29.012999999999998
    - type: ndcg_at_3
      value: 15.129999999999999
    - type: ndcg_at_5
      value: 16.926
    - type: precision_at_1
      value: 11.193999999999999
    - type: precision_at_10
      value: 3.918
    - type: precision_at_100
      value: 0.803
    - type: precision_at_1000
      value: 0.128
    - type: precision_at_3
      value: 7.587000000000001
    - type: precision_at_5
      value: 5.8709999999999996
    - type: recall_at_1
      value: 8.937000000000001
    - type: recall_at_10
      value: 28.89
    - type: recall_at_100
      value: 56.12200000000001
    - type: recall_at_1000
      value: 82.749
    - type: recall_at_3
      value: 17.748
    - type: recall_at_5
      value: 22.042
    - type: map_at_1
      value: 19.559
    - type: map_at_10
      value: 28.77
    - type: map_at_100
      value: 30.144
    - type: map_at_1000
      value: 30.270999999999997
    - type: map_at_3
      value: 25.456
    - type: map_at_5
      value: 27.351999999999997
    - type: mrr_at_1
      value: 24.062
    - type: mrr_at_10
      value: 33.409
    - type: mrr_at_100
      value: 34.369
    - type: mrr_at_1000
      value: 34.434
    - type: mrr_at_3
      value: 30.574
    - type: mrr_at_5
      value: 32.287
    - type: ndcg_at_1
      value: 24.062
    - type: ndcg_at_10
      value: 34.537
    - type: ndcg_at_100
      value: 40.542
    - type: ndcg_at_1000
      value: 43.208999999999996
    - type: ndcg_at_3
      value: 29.032000000000004
    - type: ndcg_at_5
      value: 31.838
    - type: precision_at_1
      value: 24.062
    - type: precision_at_10
      value: 6.814000000000001
    - type: precision_at_100
      value: 1.167
    - type: precision_at_1000
      value: 0.161
    - type: precision_at_3
      value: 14.244000000000002
    - type: precision_at_5
      value: 10.837
    - type: recall_at_1
      value: 19.559
    - type: recall_at_10
      value: 47.175
    - type: recall_at_100
      value: 73.11
    - type: recall_at_1000
      value: 91.144
    - type: recall_at_3
      value: 31.895
    - type: recall_at_5
      value: 38.978
    - type: map_at_1
      value: 18.828
    - type: map_at_10
      value: 27.664
    - type: map_at_100
      value: 29.099999999999998
    - type: map_at_1000
      value: 29.220000000000002
    - type: map_at_3
      value: 24.779
    - type: map_at_5
      value: 26.227
    - type: mrr_at_1
      value: 23.744
    - type: mrr_at_10
      value: 32.11
    - type: mrr_at_100
      value: 33.152
    - type: mrr_at_1000
      value: 33.215
    - type: mrr_at_3
      value: 29.604000000000003
    - type: mrr_at_5
      value: 30.894
    - type: ndcg_at_1
      value: 23.744
    - type: ndcg_at_10
      value: 33.047
    - type: ndcg_at_100
      value: 39.354
    - type: ndcg_at_1000
      value: 41.967999999999996
    - type: ndcg_at_3
      value: 28.133999999999997
    - type: ndcg_at_5
      value: 30.097
    - type: precision_at_1
      value: 23.744
    - type: precision_at_10
      value: 6.381
    - type: precision_at_100
      value: 1.135
    - type: precision_at_1000
      value: 0.155
    - type: precision_at_3
      value: 13.699
    - type: precision_at_5
      value: 9.932
    - type: recall_at_1
      value: 18.828
    - type: recall_at_10
      value: 44.777
    - type: recall_at_100
      value: 72.02499999999999
    - type: recall_at_1000
      value: 89.883
    - type: recall_at_3
      value: 30.881999999999998
    - type: recall_at_5
      value: 36.15
    - type: map_at_1
      value: 19.89466666666667
    - type: map_at_10
      value: 28.13191666666667
    - type: map_at_100
      value: 29.374083333333335
    - type: map_at_1000
      value: 29.501999999999995
    - type: map_at_3
      value: 25.450666666666667
    - type: map_at_5
      value: 26.862083333333338
    - type: mrr_at_1
      value: 23.87775
    - type: mrr_at_10
      value: 31.796833333333336
    - type: mrr_at_100
      value: 32.70425
    - type: mrr_at_1000
      value: 32.774
    - type: mrr_at_3
      value: 29.411000000000005
    - type: mrr_at_5
      value: 30.71525
    - type: ndcg_at_1
      value: 23.87775
    - type: ndcg_at_10
      value: 33.14725
    - type: ndcg_at_100
      value: 38.63300000000001
    - type: ndcg_at_1000
      value: 41.29166666666668
    - type: ndcg_at_3
      value: 28.504250000000003
    - type: ndcg_at_5
      value: 30.546250000000004
    - type: precision_at_1
      value: 23.87775
    - type: precision_at_10
      value: 6.143166666666667
    - type: precision_at_100
      value: 1.0658333333333332
    - type: precision_at_1000
      value: 0.1495
    - type: precision_at_3
      value: 13.468083333333333
    - type: precision_at_5
      value: 9.763416666666664
    - type: recall_at_1
      value: 19.89466666666667
    - type: recall_at_10
      value: 44.33358333333333
    - type: recall_at_100
      value: 68.79966666666667
    - type: recall_at_1000
      value: 87.5325
    - type: recall_at_3
      value: 31.34816666666667
    - type: recall_at_5
      value: 36.612833333333334
    - type: map_at_1
      value: 11.779
    - type: map_at_10
      value: 16.581000000000003
    - type: map_at_100
      value: 17.374000000000002
    - type: map_at_1000
      value: 17.48
    - type: map_at_3
      value: 14.777000000000001
    - type: map_at_5
      value: 15.654000000000002
    - type: mrr_at_1
      value: 13.497
    - type: mrr_at_10
      value: 18.192
    - type: mrr_at_100
      value: 18.929000000000002
    - type: mrr_at_1000
      value: 19.014
    - type: mrr_at_3
      value: 16.488
    - type: mrr_at_5
      value: 17.285
    - type: ndcg_at_1
      value: 13.497
    - type: ndcg_at_10
      value: 19.676
    - type: ndcg_at_100
      value: 24.081
    - type: ndcg_at_1000
      value: 27.012000000000004
    - type: ndcg_at_3
      value: 16.179
    - type: ndcg_at_5
      value: 17.573
    - type: precision_at_1
      value: 13.497
    - type: precision_at_10
      value: 3.512
    - type: precision_at_100
      value: 0.632
    - type: precision_at_1000
      value: 0.095
    - type: precision_at_3
      value: 7.362
    - type: precision_at_5
      value: 5.367999999999999
    - type: recall_at_1
      value: 11.779
    - type: recall_at_10
      value: 27.613
    - type: recall_at_100
      value: 48.829
    - type: recall_at_1000
      value: 71.025
    - type: recall_at_3
      value: 17.815
    - type: recall_at_5
      value: 21.279999999999998
    - type: map_at_1
      value: 11.181000000000001
    - type: map_at_10
      value: 16.724
    - type: map_at_100
      value: 17.806
    - type: map_at_1000
      value: 17.946
    - type: map_at_3
      value: 14.718
    - type: map_at_5
      value: 15.848
    - type: mrr_at_1
      value: 13.971
    - type: mrr_at_10
      value: 19.716
    - type: mrr_at_100
      value: 20.71
    - type: mrr_at_1000
      value: 20.804000000000002
    - type: mrr_at_3
      value: 17.727999999999998
    - type: mrr_at_5
      value: 18.862000000000002
    - type: ndcg_at_1
      value: 13.971
    - type: ndcg_at_10
      value: 20.531
    - type: ndcg_at_100
      value: 25.901000000000003
    - type: ndcg_at_1000
      value: 29.317999999999998
    - type: ndcg_at_3
      value: 16.828000000000003
    - type: ndcg_at_5
      value: 18.576
    - type: precision_at_1
      value: 13.971
    - type: precision_at_10
      value: 4.04
    - type: precision_at_100
      value: 0.803
    - type: precision_at_1000
      value: 0.129
    - type: precision_at_3
      value: 8.305
    - type: precision_at_5
      value: 6.29
    - type: recall_at_1
      value: 11.181000000000001
    - type: recall_at_10
      value: 29.042
    - type: recall_at_100
      value: 53.342
    - type: recall_at_1000
      value: 78.117
    - type: recall_at_3
      value: 18.804000000000002
    - type: recall_at_5
      value: 23.22
    - type: map_at_1
      value: 23.046
    - type: map_at_10
      value: 30.702
    - type: map_at_100
      value: 31.961000000000002
    - type: map_at_1000
      value: 32.077
    - type: map_at_3
      value: 28.083000000000002
    - type: map_at_5
      value: 29.391000000000002
    - type: mrr_at_1
      value: 27.239
    - type: mrr_at_10
      value: 34.472
    - type: mrr_at_100
      value: 35.485
    - type: mrr_at_1000
      value: 35.558
    - type: mrr_at_3
      value: 32.245000000000005
    - type: mrr_at_5
      value: 33.42
    - type: ndcg_at_1
      value: 27.239
    - type: ndcg_at_10
      value: 35.453
    - type: ndcg_at_100
      value: 41.347
    - type: ndcg_at_1000
      value: 43.986
    - type: ndcg_at_3
      value: 30.768
    - type: ndcg_at_5
      value: 32.694
    - type: precision_at_1
      value: 27.239
    - type: precision_at_10
      value: 6.138
    - type: precision_at_100
      value: 1.014
    - type: precision_at_1000
      value: 0.136
    - type: precision_at_3
      value: 13.775
    - type: precision_at_5
      value: 9.776
    - type: recall_at_1
      value: 23.046
    - type: recall_at_10
      value: 46.178999999999995
    - type: recall_at_100
      value: 72.366
    - type: recall_at_1000
      value: 90.713
    - type: recall_at_3
      value: 33.214
    - type: recall_at_5
      value: 38.186
    - type: map_at_1
      value: 22.006999999999998
    - type: map_at_10
      value: 30.791
    - type: map_at_100
      value: 32.495000000000005
    - type: map_at_1000
      value: 32.731
    - type: map_at_3
      value: 27.738000000000003
    - type: map_at_5
      value: 29.115000000000002
    - type: mrr_at_1
      value: 27.47
    - type: mrr_at_10
      value: 36.355
    - type: mrr_at_100
      value: 37.207
    - type: mrr_at_1000
      value: 37.262
    - type: mrr_at_3
      value: 33.267
    - type: mrr_at_5
      value: 34.918
    - type: ndcg_at_1
      value: 27.47
    - type: ndcg_at_10
      value: 37.314
    - type: ndcg_at_100
      value: 43.228
    - type: ndcg_at_1000
      value: 45.789
    - type: ndcg_at_3
      value: 32.178000000000004
    - type: ndcg_at_5
      value: 34.082
    - type: precision_at_1
      value: 27.47
    - type: precision_at_10
      value: 7.5889999999999995
    - type: precision_at_100
      value: 1.587
    - type: precision_at_1000
      value: 0.245
    - type: precision_at_3
      value: 15.613
    - type: precision_at_5
      value: 11.501999999999999
    - type: recall_at_1
      value: 22.006999999999998
    - type: recall_at_10
      value: 49.811
    - type: recall_at_100
      value: 76.175
    - type: recall_at_1000
      value: 92.432
    - type: recall_at_3
      value: 34.445
    - type: recall_at_5
      value: 39.834
    - type: map_at_1
      value: 14.085
    - type: map_at_10
      value: 21.83
    - type: map_at_100
      value: 22.915
    - type: map_at_1000
      value: 23.033
    - type: map_at_3
      value: 19.755
    - type: map_at_5
      value: 20.936
    - type: mrr_at_1
      value: 15.712000000000002
    - type: mrr_at_10
      value: 23.581
    - type: mrr_at_100
      value: 24.598
    - type: mrr_at_1000
      value: 24.697
    - type: mrr_at_3
      value: 21.442
    - type: mrr_at_5
      value: 22.68
    - type: ndcg_at_1
      value: 15.712000000000002
    - type: ndcg_at_10
      value: 26.104
    - type: ndcg_at_100
      value: 31.6
    - type: ndcg_at_1000
      value: 34.755
    - type: ndcg_at_3
      value: 21.953
    - type: ndcg_at_5
      value: 24.003
    - type: precision_at_1
      value: 15.712000000000002
    - type: precision_at_10
      value: 4.324999999999999
    - type: precision_at_100
      value: 0.76
    - type: precision_at_1000
      value: 0.11299999999999999
    - type: precision_at_3
      value: 9.797
    - type: precision_at_5
      value: 7.135
    - type: recall_at_1
      value: 14.085
    - type: recall_at_10
      value: 37.468
    - type: recall_at_100
      value: 62.946000000000005
    - type: recall_at_1000
      value: 86.701
    - type: recall_at_3
      value: 26.476
    - type: recall_at_5
      value: 31.294
  - task:
      type: Retrieval
    dataset:
      name: MTEB ClimateFEVER
      type: climate-fever
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 8.305
    - type: map_at_10
      value: 14.971
    - type: map_at_100
      value: 16.634999999999998
    - type: map_at_1000
      value: 16.842
    - type: map_at_3
      value: 12.281
    - type: map_at_5
      value: 13.608
    - type: mrr_at_1
      value: 18.958
    - type: mrr_at_10
      value: 29.104000000000003
    - type: mrr_at_100
      value: 30.198000000000004
    - type: mrr_at_1000
      value: 30.264999999999997
    - type: mrr_at_3
      value: 25.548
    - type: mrr_at_5
      value: 27.805999999999997
    - type: ndcg_at_1
      value: 18.958
    - type: ndcg_at_10
      value: 21.84
    - type: ndcg_at_100
      value: 28.871999999999996
    - type: ndcg_at_1000
      value: 32.868
    - type: ndcg_at_3
      value: 16.991
    - type: ndcg_at_5
      value: 18.859
    - type: precision_at_1
      value: 18.958
    - type: precision_at_10
      value: 7.002999999999999
    - type: precision_at_100
      value: 1.4409999999999998
    - type: precision_at_1000
      value: 0.218
    - type: precision_at_3
      value: 12.681999999999999
    - type: precision_at_5
      value: 10.176
    - type: recall_at_1
      value: 8.305
    - type: recall_at_10
      value: 27.492
    - type: recall_at_100
      value: 52.053000000000004
    - type: recall_at_1000
      value: 74.52600000000001
    - type: recall_at_3
      value: 15.931999999999999
    - type: recall_at_5
      value: 20.71
  - task:
      type: Retrieval
    dataset:
      name: MTEB DBPedia
      type: dbpedia-entity
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 7.928
    - type: map_at_10
      value: 17.128
    - type: map_at_100
      value: 23.657
    - type: map_at_1000
      value: 25.28
    - type: map_at_3
      value: 12.623999999999999
    - type: map_at_5
      value: 14.536999999999999
    - type: mrr_at_1
      value: 60.25
    - type: mrr_at_10
      value: 70.391
    - type: mrr_at_100
      value: 70.87
    - type: mrr_at_1000
      value: 70.879
    - type: mrr_at_3
      value: 69.125
    - type: mrr_at_5
      value: 69.85
    - type: ndcg_at_1
      value: 49.75
    - type: ndcg_at_10
      value: 37.473
    - type: ndcg_at_100
      value: 41.569
    - type: ndcg_at_1000
      value: 49.318
    - type: ndcg_at_3
      value: 42.791000000000004
    - type: ndcg_at_5
      value: 39.568999999999996
    - type: precision_at_1
      value: 60.25
    - type: precision_at_10
      value: 29.4
    - type: precision_at_100
      value: 9.468
    - type: precision_at_1000
      value: 2.077
    - type: precision_at_3
      value: 46.417
    - type: precision_at_5
      value: 37.95
    - type: recall_at_1
      value: 7.928
    - type: recall_at_10
      value: 22.603
    - type: recall_at_100
      value: 47.193000000000005
    - type: recall_at_1000
      value: 71.346
    - type: recall_at_3
      value: 14.472
    - type: recall_at_5
      value: 17.485999999999997
  - task:
      type: Classification
    dataset:
      name: MTEB EmotionClassification
      type: mteb/emotion
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 46.37
    - type: f1
      value: 40.27549527082307
  - task:
      type: Retrieval
    dataset:
      name: MTEB FEVER
      type: fever
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 40.849999999999994
    - type: map_at_10
      value: 54.54
    - type: map_at_100
      value: 55.143
    - type: map_at_1000
      value: 55.16799999999999
    - type: map_at_3
      value: 51.318
    - type: map_at_5
      value: 53.403999999999996
    - type: mrr_at_1
      value: 43.984
    - type: mrr_at_10
      value: 58.07600000000001
    - type: mrr_at_100
      value: 58.605
    - type: mrr_at_1000
      value: 58.620000000000005
    - type: mrr_at_3
      value: 54.918
    - type: mrr_at_5
      value: 56.974999999999994
    - type: ndcg_at_1
      value: 43.984
    - type: ndcg_at_10
      value: 61.768
    - type: ndcg_at_100
      value: 64.42099999999999
    - type: ndcg_at_1000
      value: 64.97800000000001
    - type: ndcg_at_3
      value: 55.533
    - type: ndcg_at_5
      value: 59.14
    - type: precision_at_1
      value: 43.984
    - type: precision_at_10
      value: 8.822000000000001
    - type: precision_at_100
      value: 1.0250000000000001
    - type: precision_at_1000
      value: 0.109
    - type: precision_at_3
      value: 23.172
    - type: precision_at_5
      value: 15.857
    - type: recall_at_1
      value: 40.849999999999994
    - type: recall_at_10
      value: 80.663
    - type: recall_at_100
      value: 92.29899999999999
    - type: recall_at_1000
      value: 96.233
    - type: recall_at_3
      value: 64.031
    - type: recall_at_5
      value: 72.764
  - task:
      type: Retrieval
    dataset:
      name: MTEB FiQA2018
      type: fiqa
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 18.852
    - type: map_at_10
      value: 31.392999999999997
    - type: map_at_100
      value: 33.324999999999996
    - type: map_at_1000
      value: 33.5
    - type: map_at_3
      value: 27.249000000000002
    - type: map_at_5
      value: 29.401
    - type: mrr_at_1
      value: 38.272
    - type: mrr_at_10
      value: 47.076
    - type: mrr_at_100
      value: 47.902
    - type: mrr_at_1000
      value: 47.942
    - type: mrr_at_3
      value: 44.624
    - type: mrr_at_5
      value: 46.098
    - type: ndcg_at_1
      value: 38.272
    - type: ndcg_at_10
      value: 39.214
    - type: ndcg_at_100
      value: 46.341
    - type: ndcg_at_1000
      value: 49.282
    - type: ndcg_at_3
      value: 35.757
    - type: ndcg_at_5
      value: 36.669000000000004
    - type: precision_at_1
      value: 38.272
    - type: precision_at_10
      value: 11.219
    - type: precision_at_100
      value: 1.8599999999999999
    - type: precision_at_1000
      value: 0.23800000000000002
    - type: precision_at_3
      value: 24.331
    - type: precision_at_5
      value: 17.87
    - type: recall_at_1
      value: 18.852
    - type: recall_at_10
      value: 46.078
    - type: recall_at_100
      value: 72.898
    - type: recall_at_1000
      value: 90.644
    - type: recall_at_3
      value: 32.221
    - type: recall_at_5
      value: 37.894
  - task:
      type: Retrieval
    dataset:
      name: MTEB HotpotQA
      type: hotpotqa
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 32.714
    - type: map_at_10
      value: 46.743
    - type: map_at_100
      value: 47.64
    - type: map_at_1000
      value: 47.717999999999996
    - type: map_at_3
      value: 43.872
    - type: map_at_5
      value: 45.629
    - type: mrr_at_1
      value: 65.429
    - type: mrr_at_10
      value: 72.507
    - type: mrr_at_100
      value: 72.80799999999999
    - type: mrr_at_1000
      value: 72.82600000000001
    - type: mrr_at_3
      value: 70.98100000000001
    - type: mrr_at_5
      value: 71.967
    - type: ndcg_at_1
      value: 65.429
    - type: ndcg_at_10
      value: 55.84
    - type: ndcg_at_100
      value: 59.183
    - type: ndcg_at_1000
      value: 60.81100000000001
    - type: ndcg_at_3
      value: 51.327
    - type: ndcg_at_5
      value: 53.803
    - type: precision_at_1
      value: 65.429
    - type: precision_at_10
      value: 11.620999999999999
    - type: precision_at_100
      value: 1.425
    - type: precision_at_1000
      value: 0.164
    - type: precision_at_3
      value: 32.077
    - type: precision_at_5
      value: 21.199
    - type: recall_at_1
      value: 32.714
    - type: recall_at_10
      value: 58.103
    - type: recall_at_100
      value: 71.269
    - type: recall_at_1000
      value: 82.073
    - type: recall_at_3
      value: 48.116
    - type: recall_at_5
      value: 52.998
  - task:
      type: Classification
    dataset:
      name: MTEB ImdbClassification
      type: mteb/imdb
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 88.5384
    - type: ap
      value: 84.07244605493386
    - type: f1
      value: 88.51724847689141
  - task:
      type: Retrieval
    dataset:
      name: MTEB MSMARCO
      type: msmarco
      config: default
      split: dev
      revision: None
    metrics:
    - type: map_at_1
      value: 17.169999999999998
    - type: map_at_10
      value: 28.601
    - type: map_at_100
      value: 29.869
    - type: map_at_1000
      value: 29.929
    - type: map_at_3
      value: 24.69
    - type: map_at_5
      value: 26.929
    - type: mrr_at_1
      value: 17.622
    - type: mrr_at_10
      value: 29.079
    - type: mrr_at_100
      value: 30.301000000000002
    - type: mrr_at_1000
      value: 30.354
    - type: mrr_at_3
      value: 25.232
    - type: mrr_at_5
      value: 27.458
    - type: ndcg_at_1
      value: 17.622
    - type: ndcg_at_10
      value: 35.357
    - type: ndcg_at_100
      value: 41.623
    - type: ndcg_at_1000
      value: 43.119
    - type: ndcg_at_3
      value: 27.344
    - type: ndcg_at_5
      value: 31.367
    - type: precision_at_1
      value: 17.622
    - type: precision_at_10
      value: 5.891
    - type: precision_at_100
      value: 0.9039999999999999
    - type: precision_at_1000
      value: 0.10300000000000001
    - type: precision_at_3
      value: 11.91
    - type: precision_at_5
      value: 9.189
    - type: recall_at_1
      value: 17.169999999999998
    - type: recall_at_10
      value: 56.369
    - type: recall_at_100
      value: 85.649
    - type: recall_at_1000
      value: 97.096
    - type: recall_at_3
      value: 34.499
    - type: recall_at_5
      value: 44.194
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: mteb/mtop_domain
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 90.4810761513908
    - type: f1
      value: 90.43983880684412
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (en)
      type: mteb/mtop_intent
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 59.824441404468764
    - type: f1
      value: 41.140870725364245
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: mteb/amazon_massive_intent
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 67.23940820443846
    - type: f1
      value: 63.866444501622254
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (en)
      type: mteb/amazon_massive_scenario
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 72.98251513113652
    - type: f1
      value: 72.26944666028224
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringP2P
      type: mteb/medrxiv-clustering-p2p
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 34.7972586123168
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringS2S
      type: mteb/medrxiv-clustering-s2s
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 32.77986542120405
  - task:
      type: Reranking
    dataset:
      name: MTEB MindSmallReranking
      type: mteb/mind_small
      config: default
      split: test
      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
    metrics:
    - type: map
      value: 28.827020967264875
    - type: mrr
      value: 29.491954633310463
  - task:
      type: Retrieval
    dataset:
      name: MTEB NFCorpus
      type: nfcorpus
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 5.099
    - type: map_at_10
      value: 11.205
    - type: map_at_100
      value: 14.533999999999999
    - type: map_at_1000
      value: 16.012999999999998
    - type: map_at_3
      value: 8.074
    - type: map_at_5
      value: 9.515
    - type: mrr_at_1
      value: 43.034
    - type: mrr_at_10
      value: 50.903
    - type: mrr_at_100
      value: 51.62
    - type: mrr_at_1000
      value: 51.661
    - type: mrr_at_3
      value: 48.71
    - type: mrr_at_5
      value: 49.886
    - type: ndcg_at_1
      value: 39.938
    - type: ndcg_at_10
      value: 31.572
    - type: ndcg_at_100
      value: 29.652
    - type: ndcg_at_1000
      value: 38.971000000000004
    - type: ndcg_at_3
      value: 36.758
    - type: ndcg_at_5
      value: 34.481
    - type: precision_at_1
      value: 42.105
    - type: precision_at_10
      value: 24.056
    - type: precision_at_100
      value: 7.666
    - type: precision_at_1000
      value: 2.11
    - type: precision_at_3
      value: 35.088
    - type: precision_at_5
      value: 30.402
    - type: recall_at_1
      value: 5.099
    - type: recall_at_10
      value: 14.780999999999999
    - type: recall_at_100
      value: 31.653
    - type: recall_at_1000
      value: 63.724000000000004
    - type: recall_at_3
      value: 8.933
    - type: recall_at_5
      value: 11.413
  - task:
      type: Retrieval
    dataset:
      name: MTEB NQ
      type: nq
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 25.232
    - type: map_at_10
      value: 39.704
    - type: map_at_100
      value: 40.93
    - type: map_at_1000
      value: 40.963
    - type: map_at_3
      value: 34.882999999999996
    - type: map_at_5
      value: 37.597
    - type: mrr_at_1
      value: 28.853
    - type: mrr_at_10
      value: 42.218
    - type: mrr_at_100
      value: 43.179
    - type: mrr_at_1000
      value: 43.202
    - type: mrr_at_3
      value: 38.157000000000004
    - type: mrr_at_5
      value: 40.483000000000004
    - type: ndcg_at_1
      value: 28.823999999999998
    - type: ndcg_at_10
      value: 47.729
    - type: ndcg_at_100
      value: 52.898999999999994
    - type: ndcg_at_1000
      value: 53.686
    - type: ndcg_at_3
      value: 38.548
    - type: ndcg_at_5
      value: 43.119
    - type: precision_at_1
      value: 28.823999999999998
    - type: precision_at_10
      value: 8.34
    - type: precision_at_100
      value: 1.1199999999999999
    - type: precision_at_1000
      value: 0.11900000000000001
    - type: precision_at_3
      value: 17.922
    - type: precision_at_5
      value: 13.331000000000001
    - type: recall_at_1
      value: 25.232
    - type: recall_at_10
      value: 69.95
    - type: recall_at_100
      value: 92.333
    - type: recall_at_1000
      value: 98.218
    - type: recall_at_3
      value: 45.946999999999996
    - type: recall_at_5
      value: 56.598000000000006
  - task:
      type: Retrieval
    dataset:
      name: MTEB QuoraRetrieval
      type: quora
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 70.083
    - type: map_at_10
      value: 84.16
    - type: map_at_100
      value: 84.807
    - type: map_at_1000
      value: 84.822
    - type: map_at_3
      value: 81.181
    - type: map_at_5
      value: 83.094
    - type: mrr_at_1
      value: 80.83
    - type: mrr_at_10
      value: 87.173
    - type: mrr_at_100
      value: 87.28399999999999
    - type: mrr_at_1000
      value: 87.285
    - type: mrr_at_3
      value: 86.21
    - type: mrr_at_5
      value: 86.886
    - type: ndcg_at_1
      value: 80.85
    - type: ndcg_at_10
      value: 87.96199999999999
    - type: ndcg_at_100
      value: 89.225
    - type: ndcg_at_1000
      value: 89.32900000000001
    - type: ndcg_at_3
      value: 85.101
    - type: ndcg_at_5
      value: 86.74
    - type: precision_at_1
      value: 80.85
    - type: precision_at_10
      value: 13.378
    - type: precision_at_100
      value: 1.5310000000000001
    - type: precision_at_1000
      value: 0.157
    - type: precision_at_3
      value: 37.269999999999996
    - type: precision_at_5
      value: 24.568
    - type: recall_at_1
      value: 70.083
    - type: recall_at_10
      value: 95.194
    - type: recall_at_100
      value: 99.51100000000001
    - type: recall_at_1000
      value: 99.991
    - type: recall_at_3
      value: 87.027
    - type: recall_at_5
      value: 91.604
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClustering
      type: mteb/reddit-clustering
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 49.23995527989351
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P
      type: mteb/reddit-clustering-p2p
      config: default
      split: test
      revision: 282350215ef01743dc01b456c7f5241fa8937f16
    metrics:
    - type: v_measure
      value: 58.81838285815132
  - task:
      type: Retrieval
    dataset:
      name: MTEB SCIDOCS
      type: scidocs
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 4.463
    - type: map_at_10
      value: 11.387
    - type: map_at_100
      value: 13.621
    - type: map_at_1000
      value: 13.982
    - type: map_at_3
      value: 8.022
    - type: map_at_5
      value: 9.464
    - type: mrr_at_1
      value: 22.0
    - type: mrr_at_10
      value: 32.902
    - type: mrr_at_100
      value: 34.036
    - type: mrr_at_1000
      value: 34.093
    - type: mrr_at_3
      value: 29.317
    - type: mrr_at_5
      value: 31.141999999999996
    - type: ndcg_at_1
      value: 22.0
    - type: ndcg_at_10
      value: 19.483
    - type: ndcg_at_100
      value: 28.118
    - type: ndcg_at_1000
      value: 34.355999999999995
    - type: ndcg_at_3
      value: 18.032999999999998
    - type: ndcg_at_5
      value: 15.613
    - type: precision_at_1
      value: 22.0
    - type: precision_at_10
      value: 10.35
    - type: precision_at_100
      value: 2.282
    - type: precision_at_1000
      value: 0.378
    - type: precision_at_3
      value: 16.967
    - type: precision_at_5
      value: 13.719999999999999
    - type: recall_at_1
      value: 4.463
    - type: recall_at_10
      value: 20.963
    - type: recall_at_100
      value: 46.322
    - type: recall_at_1000
      value: 76.713
    - type: recall_at_3
      value: 10.308
    - type: recall_at_5
      value: 13.888
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R
      type: mteb/sickr-sts
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 84.84563850617418
    - type: cos_sim_spearman
      value: 79.68400149970968
    - type: euclidean_pearson
      value: 82.75837054306935
    - type: euclidean_spearman
      value: 79.6840247099308
    - type: manhattan_pearson
      value: 82.73540970661433
    - type: manhattan_spearman
      value: 79.66844192381396
  - task:
      type: STS
    dataset:
      name: MTEB STS12
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 77.81430060207765
    - type: cos_sim_spearman
      value: 69.94012785669503
    - type: euclidean_pearson
      value: 74.59541033717807
    - type: euclidean_spearman
      value: 69.94010426360558
    - type: manhattan_pearson
      value: 74.56400760328428
    - type: manhattan_spearman
      value: 69.92806341709132
  - task:
      type: STS
    dataset:
      name: MTEB STS13
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 74.81511131302516
    - type: cos_sim_spearman
      value: 79.62625737683277
    - type: euclidean_pearson
      value: 77.45706601071352
    - type: euclidean_spearman
      value: 79.62625730605384
    - type: manhattan_pearson
      value: 77.3334919461798
    - type: manhattan_spearman
      value: 79.46650568750321
  - task:
      type: STS
    dataset:
      name: MTEB STS14
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 73.43273002333167
    - type: cos_sim_spearman
      value: 71.34169412319034
    - type: euclidean_pearson
      value: 73.58628382548541
    - type: euclidean_spearman
      value: 71.3417253984979
    - type: manhattan_pearson
      value: 73.528660458135
    - type: manhattan_spearman
      value: 71.29492315680972
  - task:
      type: STS
    dataset:
      name: MTEB STS15
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 79.7528032458892
    - type: cos_sim_spearman
      value: 82.80881645241301
    - type: euclidean_pearson
      value: 81.49065539033161
    - type: euclidean_spearman
      value: 82.80881911292607
    - type: manhattan_pearson
      value: 81.48964007971324
    - type: manhattan_spearman
      value: 82.82325035979333
  - task:
      type: STS
    dataset:
      name: MTEB STS16
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 77.46090733936299
    - type: cos_sim_spearman
      value: 82.65342321085096
    - type: euclidean_pearson
      value: 81.6531230438912
    - type: euclidean_spearman
      value: 82.65342321085096
    - type: manhattan_pearson
      value: 81.6092667285348
    - type: manhattan_spearman
      value: 82.63811888178375
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: mteb/sts17-crosslingual-sts
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 88.36545028139912
    - type: cos_sim_spearman
      value: 88.8877047117119
    - type: euclidean_pearson
      value: 89.26155338214109
    - type: euclidean_spearman
      value: 88.8877047117119
    - type: manhattan_pearson
      value: 89.18322803188939
    - type: manhattan_spearman
      value: 88.74063459127103
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
    metrics:
    - type: cos_sim_pearson
      value: 68.11778566972097
    - type: cos_sim_spearman
      value: 68.4773054255333
    - type: euclidean_pearson
      value: 69.06680343994812
    - type: euclidean_spearman
      value: 68.4773054255333
    - type: manhattan_pearson
      value: 68.866622017307
    - type: manhattan_spearman
      value: 68.15156375349754
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 84.64200346870874
    - type: cos_sim_spearman
      value: 86.5043271353841
    - type: euclidean_pearson
      value: 86.36114472174944
    - type: euclidean_spearman
      value: 86.50433264867542
    - type: manhattan_pearson
      value: 86.29057032602698
    - type: manhattan_spearman
      value: 86.45171993846006
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 85.9286721127671
    - type: mrr
      value: 95.76535029966404
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact
      type: scifact
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 53.067
    - type: map_at_10
      value: 63.580000000000005
    - type: map_at_100
      value: 64.238
    - type: map_at_1000
      value: 64.265
    - type: map_at_3
      value: 60.402
    - type: map_at_5
      value: 62.456999999999994
    - type: mrr_at_1
      value: 55.667
    - type: mrr_at_10
      value: 64.566
    - type: mrr_at_100
      value: 65.054
    - type: mrr_at_1000
      value: 65.08
    - type: mrr_at_3
      value: 61.944
    - type: mrr_at_5
      value: 63.761
    - type: ndcg_at_1
      value: 55.667
    - type: ndcg_at_10
      value: 68.354
    - type: ndcg_at_100
      value: 70.94
    - type: ndcg_at_1000
      value: 71.759
    - type: ndcg_at_3
      value: 62.814
    - type: ndcg_at_5
      value: 66.084
    - type: precision_at_1
      value: 55.667
    - type: precision_at_10
      value: 9.232999999999999
    - type: precision_at_100
      value: 1.06
    - type: precision_at_1000
      value: 0.11299999999999999
    - type: precision_at_3
      value: 24.444
    - type: precision_at_5
      value: 16.667
    - type: recall_at_1
      value: 53.067
    - type: recall_at_10
      value: 81.89999999999999
    - type: recall_at_100
      value: 93.0
    - type: recall_at_1000
      value: 99.667
    - type: recall_at_3
      value: 67.589
    - type: recall_at_5
      value: 75.506
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.61287128712871
    - type: cos_sim_ap
      value: 88.21320824985605
    - type: cos_sim_f1
      value: 80.15451472718492
    - type: cos_sim_precision
      value: 77.49766573295986
    - type: cos_sim_recall
      value: 83.0
    - type: dot_accuracy
      value: 99.61287128712871
    - type: dot_ap
      value: 88.21329368452164
    - type: dot_f1
      value: 80.15451472718492
    - type: dot_precision
      value: 77.49766573295986
    - type: dot_recall
      value: 83.0
    - type: euclidean_accuracy
      value: 99.61287128712871
    - type: euclidean_ap
      value: 88.21328696557586
    - type: euclidean_f1
      value: 80.15451472718492
    - type: euclidean_precision
      value: 77.49766573295986
    - type: euclidean_recall
      value: 83.0
    - type: manhattan_accuracy
      value: 99.61287128712871
    - type: manhattan_ap
      value: 88.26324850748259
    - type: manhattan_f1
      value: 80.36839554047503
    - type: manhattan_precision
      value: 77.9868297271872
    - type: manhattan_recall
      value: 82.89999999999999
    - type: max_accuracy
      value: 99.61287128712871
    - type: max_ap
      value: 88.26324850748259
    - type: max_f1
      value: 80.36839554047503
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 58.88814718001269
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
    - type: v_measure
      value: 33.6023610692526
  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions
      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 46.52388882316049
    - type: mrr
      value: 46.98781406501995
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 27.06710433803873
    - type: cos_sim_spearman
      value: 30.251609255580625
    - type: dot_pearson
      value: 27.0671067449827
    - type: dot_spearman
      value: 30.251609255580625
  - task:
      type: Retrieval
    dataset:
      name: MTEB TRECCOVID
      type: trec-covid
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 0.16999999999999998
    - type: map_at_10
      value: 1.204
    - type: map_at_100
      value: 6.800000000000001
    - type: map_at_1000
      value: 16.753999999999998
    - type: map_at_3
      value: 0.441
    - type: map_at_5
      value: 0.692
    - type: mrr_at_1
      value: 64.0
    - type: mrr_at_10
      value: 75.5
    - type: mrr_at_100
      value: 75.667
    - type: mrr_at_1000
      value: 75.667
    - type: mrr_at_3
      value: 72.333
    - type: mrr_at_5
      value: 74.63300000000001
    - type: ndcg_at_1
      value: 60.0
    - type: ndcg_at_10
      value: 55.074
    - type: ndcg_at_100
      value: 43.342999999999996
    - type: ndcg_at_1000
      value: 40.217999999999996
    - type: ndcg_at_3
      value: 56.754000000000005
    - type: ndcg_at_5
      value: 56.267999999999994
    - type: precision_at_1
      value: 64.0
    - type: precision_at_10
      value: 57.8
    - type: precision_at_100
      value: 44.34
    - type: precision_at_1000
      value: 17.791999999999998
    - type: precision_at_3
      value: 59.333000000000006
    - type: precision_at_5
      value: 59.199999999999996
    - type: recall_at_1
      value: 0.16999999999999998
    - type: recall_at_10
      value: 1.522
    - type: recall_at_100
      value: 10.52
    - type: recall_at_1000
      value: 38.324999999999996
    - type: recall_at_3
      value: 0.48
    - type: recall_at_5
      value: 0.792
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020
      type: webis-touche2020
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 1.078
    - type: map_at_10
      value: 5.463
    - type: map_at_100
      value: 9.914000000000001
    - type: map_at_1000
      value: 11.285
    - type: map_at_3
      value: 2.467
    - type: map_at_5
      value: 3.277
    - type: mrr_at_1
      value: 12.245000000000001
    - type: mrr_at_10
      value: 26.708
    - type: mrr_at_100
      value: 28.303
    - type: mrr_at_1000
      value: 28.321
    - type: mrr_at_3
      value: 23.128999999999998
    - type: mrr_at_5
      value: 24.558
    - type: ndcg_at_1
      value: 11.224
    - type: ndcg_at_10
      value: 15.221000000000002
    - type: ndcg_at_100
      value: 26.346999999999998
    - type: ndcg_at_1000
      value: 37.969
    - type: ndcg_at_3
      value: 13.318
    - type: ndcg_at_5
      value: 12.576
    - type: precision_at_1
      value: 12.245000000000001
    - type: precision_at_10
      value: 15.101999999999999
    - type: precision_at_100
      value: 5.9799999999999995
    - type: precision_at_1000
      value: 1.367
    - type: precision_at_3
      value: 14.966
    - type: precision_at_5
      value: 13.469000000000001
    - type: recall_at_1
      value: 1.078
    - type: recall_at_10
      value: 11.157
    - type: recall_at_100
      value: 38.190000000000005
    - type: recall_at_1000
      value: 73.831
    - type: recall_at_3
      value: 3.598
    - type: recall_at_5
      value: 5.122999999999999
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
    metrics:
    - type: accuracy
      value: 71.1582
    - type: ap
      value: 14.92669801560963
    - type: f1
      value: 55.12856312799308
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 58.88511601584606
    - type: f1
      value: 58.85264576560652
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 46.12909899358978
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 83.26876080348096
    - type: cos_sim_ap
      value: 64.7970240303098
    - type: cos_sim_f1
      value: 60.64945026847354
    - type: cos_sim_precision
      value: 58.82936507936508
    - type: cos_sim_recall
      value: 62.58575197889182
    - type: dot_accuracy
      value: 83.26876080348096
    - type: dot_ap
      value: 64.7970187478589
    - type: dot_f1
      value: 60.64945026847354
    - type: dot_precision
      value: 58.82936507936508
    - type: dot_recall
      value: 62.58575197889182
    - type: euclidean_accuracy
      value: 83.26876080348096
    - type: euclidean_ap
      value: 64.7970350594888
    - type: euclidean_f1
      value: 60.64945026847354
    - type: euclidean_precision
      value: 58.82936507936508
    - type: euclidean_recall
      value: 62.58575197889182
    - type: manhattan_accuracy
      value: 83.22703701496096
    - type: manhattan_ap
      value: 64.77489173378227
    - type: manhattan_f1
      value: 60.60833646263612
    - type: manhattan_precision
      value: 57.65658490116694
    - type: manhattan_recall
      value: 63.87862796833773
    - type: max_accuracy
      value: 83.26876080348096
    - type: max_ap
      value: 64.7970350594888
    - type: max_f1
      value: 60.64945026847354
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 86.43613924787519
    - type: cos_sim_ap
      value: 80.48760161140632
    - type: cos_sim_f1
      value: 73.17976287962401
    - type: cos_sim_precision
      value: 68.0641102059739
    - type: cos_sim_recall
      value: 79.12688635663689
    - type: dot_accuracy
      value: 86.43613924787519
    - type: dot_ap
      value: 80.487599095952
    - type: dot_f1
      value: 73.17976287962401
    - type: dot_precision
      value: 68.0641102059739
    - type: dot_recall
      value: 79.12688635663689
    - type: euclidean_accuracy
      value: 86.43613924787519
    - type: euclidean_ap
      value: 80.48760636334994
    - type: euclidean_f1
      value: 73.17976287962401
    - type: euclidean_precision
      value: 68.0641102059739
    - type: euclidean_recall
      value: 79.12688635663689
    - type: manhattan_accuracy
      value: 86.41673458299375
    - type: manhattan_ap
      value: 80.47462765492928
    - type: manhattan_f1
      value: 73.16093396936981
    - type: manhattan_precision
      value: 68.48183710468005
    - type: manhattan_recall
      value: 78.5263319987681
    - type: max_accuracy
      value: 86.43613924787519
    - type: max_ap
      value: 80.48760636334994
    - type: max_f1
      value: 73.17976287962401
---
