mteb model-index region:us
---
tags:
- mteb
model-index:
- name: sent2vec_main_BERTtok_noPunct_normalise_False
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: None
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 77.13432835820896
    - type: ap
      value: 41.1995958714681
    - type: f1
      value: 71.33039804990247
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification
      type: None
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 65.31627500000002
    - type: ap
      value: 60.470917784347414
    - type: f1
      value: 64.93264570197697
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: None
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 33.12199999999999
    - type: f1
      value: 32.79530591402379
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna
      type: None
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
    metrics:
    - type: map_at_1
      value: 16.999
    - type: map_at_10
      value: 29.578
    - type: map_at_100
      value: 30.833
    - type: map_at_1000
      value: 30.875999999999998
    - type: map_at_3
      value: 25.568999999999996
    - type: map_at_5
      value: 27.639000000000003
    - type: mrr_at_1
      value: 17.496000000000002
    - type: mrr_at_10
      value: 29.759999999999998
    - type: mrr_at_100
      value: 31.014000000000003
    - type: mrr_at_1000
      value: 31.057000000000002
    - type: mrr_at_3
      value: 25.735000000000003
    - type: mrr_at_5
      value: 27.819
    - type: ndcg_at_1
      value: 16.999
    - type: ndcg_at_10
      value: 36.963
    - type: ndcg_at_100
      value: 43.04
    - type: ndcg_at_1000
      value: 44.193
    - type: ndcg_at_3
      value: 28.474
    - type: ndcg_at_5
      value: 32.214
    - type: precision_at_1
      value: 16.999
    - type: precision_at_10
      value: 6.081
    - type: precision_at_100
      value: 0.8909999999999999
    - type: precision_at_1000
      value: 0.098
    - type: precision_at_3
      value: 12.304
    - type: precision_at_5
      value: 9.203
    - type: recall_at_1
      value: 16.999
    - type: recall_at_10
      value: 60.81100000000001
    - type: recall_at_100
      value: 89.118
    - type: recall_at_1000
      value: 98.222
    - type: recall_at_3
      value: 36.913000000000004
    - type: recall_at_5
      value: 46.017
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: None
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 39.743359337350604
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: None
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 30.692005730310534
  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions
      type: None
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 50.09268232764077
    - type: mrr
      value: 63.88196368113266
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: None
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 54.94383800855335
    - type: cos_sim_spearman
      value: 55.2012577981062
    - type: euclidean_pearson
      value: 55.62668542031085
    - type: euclidean_spearman
      value: 55.2012577981062
    - type: manhattan_pearson
      value: 55.68482653117629
    - type: manhattan_spearman
      value: 55.389816311407316
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification
      type: None
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 66.5487012987013
    - type: f1
      value: 65.50193480011431
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: None
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: v_measure
      value: 34.0365167501657
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S
      type: None
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: v_measure
      value: 26.58831554155109
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: None
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
    metrics:
    - type: map_at_1
      value: 18.289
    - type: map_at_10
      value: 24.321
    - type: map_at_100
      value: 25.241999999999997
    - type: map_at_1000
      value: 25.394
    - type: map_at_3
      value: 22.570999999999998
    - type: map_at_5
      value: 23.491999999999997
    - type: mrr_at_1
      value: 23.176
    - type: mrr_at_10
      value: 29.019000000000002
    - type: mrr_at_100
      value: 29.781000000000002
    - type: mrr_at_1000
      value: 29.874000000000002
    - type: mrr_at_3
      value: 27.444000000000003
    - type: mrr_at_5
      value: 28.224
    - type: ndcg_at_1
      value: 23.176
    - type: ndcg_at_10
      value: 28.28
    - type: ndcg_at_100
      value: 32.598
    - type: ndcg_at_1000
      value: 36.064
    - type: ndcg_at_3
      value: 25.627
    - type: ndcg_at_5
      value: 26.589000000000002
    - type: precision_at_1
      value: 23.176
    - type: precision_at_10
      value: 5.236
    - type: precision_at_100
      value: 0.906
    - type: precision_at_1000
      value: 0.149
    - type: precision_at_3
      value: 12.065
    - type: precision_at_5
      value: 8.526
    - type: recall_at_1
      value: 18.289
    - type: recall_at_10
      value: 35.281
    - type: recall_at_100
      value: 54.63400000000001
    - type: recall_at_1000
      value: 78.901
    - type: recall_at_3
      value: 26.790999999999997
    - type: recall_at_5
      value: 29.894
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackEnglishRetrieval
      type: None
      config: default
      split: test
      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
    metrics:
    - type: map_at_1
      value: 16.345000000000002
    - type: map_at_10
      value: 21.703
    - type: map_at_100
      value: 22.656000000000002
    - type: map_at_1000
      value: 22.772000000000002
    - type: map_at_3
      value: 20.02
    - type: map_at_5
      value: 20.855999999999998
    - type: mrr_at_1
      value: 21.146
    - type: mrr_at_10
      value: 26.389000000000003
    - type: mrr_at_100
      value: 27.128999999999998
    - type: mrr_at_1000
      value: 27.200000000000003
    - type: mrr_at_3
      value: 24.724
    - type: mrr_at_5
      value: 25.624999999999996
    - type: ndcg_at_1
      value: 21.146
    - type: ndcg_at_10
      value: 25.361
    - type: ndcg_at_100
      value: 29.648000000000003
    - type: ndcg_at_1000
      value: 32.446000000000005
    - type: ndcg_at_3
      value: 22.628
    - type: ndcg_at_5
      value: 23.711
    - type: precision_at_1
      value: 21.146
    - type: precision_at_10
      value: 4.752
    - type: precision_at_100
      value: 0.885
    - type: precision_at_1000
      value: 0.13699999999999998
    - type: precision_at_3
      value: 10.934000000000001
    - type: precision_at_5
      value: 7.693999999999999
    - type: recall_at_1
      value: 16.345000000000002
    - type: recall_at_10
      value: 31.602000000000004
    - type: recall_at_100
      value: 50.501
    - type: recall_at_1000
      value: 70.082
    - type: recall_at_3
      value: 23.214000000000002
    - type: recall_at_5
      value: 26.476
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGamingRetrieval
      type: None
      config: default
      split: test
      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
    metrics:
    - type: map_at_1
      value: 23.907
    - type: map_at_10
      value: 31.323
    - type: map_at_100
      value: 32.302
    - type: map_at_1000
      value: 32.391
    - type: map_at_3
      value: 29.067999999999998
    - type: map_at_5
      value: 30.320999999999998
    - type: mrr_at_1
      value: 27.084999999999997
    - type: mrr_at_10
      value: 33.934
    - type: mrr_at_100
      value: 34.792
    - type: mrr_at_1000
      value: 34.855000000000004
    - type: mrr_at_3
      value: 31.839000000000002
    - type: mrr_at_5
      value: 33.049
    - type: ndcg_at_1
      value: 27.084999999999997
    - type: ndcg_at_10
      value: 35.587
    - type: ndcg_at_100
      value: 40.37
    - type: ndcg_at_1000
      value: 42.501
    - type: ndcg_at_3
      value: 31.385
    - type: ndcg_at_5
      value: 33.364
    - type: precision_at_1
      value: 27.084999999999997
    - type: precision_at_10
      value: 5.749
    - type: precision_at_100
      value: 0.89
    - type: precision_at_1000
      value: 0.11499999999999999
    - type: precision_at_3
      value: 13.793
    - type: precision_at_5
      value: 9.555
    - type: recall_at_1
      value: 23.907
    - type: recall_at_10
      value: 45.953
    - type: recall_at_100
      value: 67.647
    - type: recall_at_1000
      value: 83.00800000000001
    - type: recall_at_3
      value: 34.587
    - type: recall_at_5
      value: 39.516
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGisRetrieval
      type: None
      config: default
      split: test
      revision: 5003b3064772da1887988e05400cf3806fe491f2
    metrics:
    - type: map_at_1
      value: 9.209
    - type: map_at_10
      value: 12.376
    - type: map_at_100
      value: 13.123999999999999
    - type: map_at_1000
      value: 13.232
    - type: map_at_3
      value: 11.328000000000001
    - type: map_at_5
      value: 11.934000000000001
    - type: mrr_at_1
      value: 9.944
    - type: mrr_at_10
      value: 13.254
    - type: mrr_at_100
      value: 14.041
    - type: mrr_at_1000
      value: 14.14
    - type: mrr_at_3
      value: 12.203
    - type: mrr_at_5
      value: 12.808
    - type: ndcg_at_1
      value: 9.944
    - type: ndcg_at_10
      value: 14.302999999999999
    - type: ndcg_at_100
      value: 18.289
    - type: ndcg_at_1000
      value: 21.494
    - type: ndcg_at_3
      value: 12.211
    - type: ndcg_at_5
      value: 13.26
    - type: precision_at_1
      value: 9.944
    - type: precision_at_10
      value: 2.237
    - type: precision_at_100
      value: 0.44400000000000006
    - type: precision_at_1000
      value: 0.076
    - type: precision_at_3
      value: 5.1979999999999995
    - type: precision_at_5
      value: 3.7289999999999996
    - type: recall_at_1
      value: 9.209
    - type: recall_at_10
      value: 19.426
    - type: recall_at_100
      value: 38.268
    - type: recall_at_1000
      value: 63.400999999999996
    - type: recall_at_3
      value: 13.822999999999999
    - type: recall_at_5
      value: 16.262
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackMathematicaRetrieval
      type: None
      config: default
      split: test
      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
    metrics:
    - type: map_at_1
      value: 4.894
    - type: map_at_10
      value: 8.065
    - type: map_at_100
      value: 8.776
    - type: map_at_1000
      value: 8.892
    - type: map_at_3
      value: 6.998
    - type: map_at_5
      value: 7.632999999999999
    - type: mrr_at_1
      value: 6.5920000000000005
    - type: mrr_at_10
      value: 10.409
    - type: mrr_at_100
      value: 11.185
    - type: mrr_at_1000
      value: 11.283
    - type: mrr_at_3
      value: 9.121
    - type: mrr_at_5
      value: 9.83
    - type: ndcg_at_1
      value: 6.5920000000000005
    - type: ndcg_at_10
      value: 10.349
    - type: ndcg_at_100
      value: 14.243
    - type: ndcg_at_1000
      value: 17.638
    - type: ndcg_at_3
      value: 8.277
    - type: ndcg_at_5
      value: 9.286999999999999
    - type: precision_at_1
      value: 6.5920000000000005
    - type: precision_at_10
      value: 2.139
    - type: precision_at_100
      value: 0.48
    - type: precision_at_1000
      value: 0.08800000000000001
    - type: precision_at_3
      value: 4.353
    - type: precision_at_5
      value: 3.3329999999999997
    - type: recall_at_1
      value: 4.894
    - type: recall_at_10
      value: 15.133
    - type: recall_at_100
      value: 32.687
    - type: recall_at_1000
      value: 58.281000000000006
    - type: recall_at_3
      value: 9.399000000000001
    - type: recall_at_5
      value: 11.971
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackPhysicsRetrieval
      type: None
      config: default
      split: test
      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
    metrics:
    - type: map_at_1
      value: 18.002000000000002
    - type: map_at_10
      value: 22.833000000000002
    - type: map_at_100
      value: 23.989
    - type: map_at_1000
      value: 24.126
    - type: map_at_3
      value: 21.093999999999998
    - type: map_at_5
      value: 22.105
    - type: mrr_at_1
      value: 21.848
    - type: mrr_at_10
      value: 26.978
    - type: mrr_at_100
      value: 27.967
    - type: mrr_at_1000
      value: 28.050000000000004
    - type: mrr_at_3
      value: 25.217
    - type: mrr_at_5
      value: 26.184
    - type: ndcg_at_1
      value: 21.848
    - type: ndcg_at_10
      value: 26.412000000000003
    - type: ndcg_at_100
      value: 32.193
    - type: ndcg_at_1000
      value: 35.429
    - type: ndcg_at_3
      value: 23.419
    - type: ndcg_at_5
      value: 24.866
    - type: precision_at_1
      value: 21.848
    - type: precision_at_10
      value: 4.61
    - type: precision_at_100
      value: 0.894
    - type: precision_at_1000
      value: 0.13699999999999998
    - type: precision_at_3
      value: 10.619
    - type: precision_at_5
      value: 7.603
    - type: recall_at_1
      value: 18.002000000000002
    - type: recall_at_10
      value: 33.256
    - type: recall_at_100
      value: 58.913000000000004
    - type: recall_at_1000
      value: 81.596
    - type: recall_at_3
      value: 24.73
    - type: recall_at_5
      value: 28.571
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackProgrammersRetrieval
      type: None
      config: default
      split: test
      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
    metrics:
    - type: map_at_1
      value: 12.327
    - type: map_at_10
      value: 16.701
    - type: map_at_100
      value: 17.706
    - type: map_at_1000
      value: 17.849999999999998
    - type: map_at_3
      value: 15.065999999999999
    - type: map_at_5
      value: 16.012999999999998
    - type: mrr_at_1
      value: 15.183
    - type: mrr_at_10
      value: 19.828000000000003
    - type: mrr_at_100
      value: 20.752000000000002
    - type: mrr_at_1000
      value: 20.848
    - type: mrr_at_3
      value: 18.189
    - type: mrr_at_5
      value: 19.067999999999998
    - type: ndcg_at_1
      value: 15.183
    - type: ndcg_at_10
      value: 19.799
    - type: ndcg_at_100
      value: 24.886
    - type: ndcg_at_1000
      value: 28.453
    - type: ndcg_at_3
      value: 16.794999999999998
    - type: ndcg_at_5
      value: 18.176000000000002
    - type: precision_at_1
      value: 15.183
    - type: precision_at_10
      value: 3.642
    - type: precision_at_100
      value: 0.726
    - type: precision_at_1000
      value: 0.124
    - type: precision_at_3
      value: 7.800999999999999
    - type: precision_at_5
      value: 5.799
    - type: recall_at_1
      value: 12.327
    - type: recall_at_10
      value: 26.215
    - type: recall_at_100
      value: 49.038
    - type: recall_at_1000
      value: 74.297
    - type: recall_at_3
      value: 18.099999999999998
    - type: recall_at_5
      value: 21.438
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackRetrieval
      type: mteb/cqadupstack
      config: default
      split: test
      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
    metrics:
    - type: map_at_1
      value: 12.574
    - type: map_at_10
      value: 16.85583333333333
    - type: map_at_100
      value: 17.69275
    - type: map_at_1000
      value: 17.8145
    - type: map_at_3
      value: 15.422416666666667
    - type: map_at_5
      value: 16.21533333333333
    - type: mrr_at_1
      value: 15.288666666666668
    - type: mrr_at_10
      value: 19.676666666666666
    - type: mrr_at_100
      value: 20.453833333333332
    - type: mrr_at_1000
      value: 20.54325
    - type: mrr_at_3
      value: 18.258166666666664
    - type: mrr_at_5
      value: 19.02866666666666
    - type: ndcg_at_1
      value: 15.288666666666668
    - type: ndcg_at_10
      value: 19.781416666666665
    - type: ndcg_at_100
      value: 24.025916666666664
    - type: ndcg_at_1000
      value: 27.181999999999995
    - type: ndcg_at_3
      value: 17.224500000000003
    - type: ndcg_at_5
      value: 18.379083333333334
    - type: precision_at_1
      value: 15.288666666666668
    - type: precision_at_10
      value: 3.4904166666666665
    - type: precision_at_100
      value: 0.6715833333333333
    - type: precision_at_1000
      value: 0.11100000000000002
    - type: precision_at_3
      value: 7.932333333333333
    - type: precision_at_5
      value: 5.679
    - type: recall_at_1
      value: 12.574
    - type: recall_at_10
      value: 25.89141666666667
    - type: recall_at_100
      value: 45.35633333333333
    - type: recall_at_1000
      value: 68.51650000000001
    - type: recall_at_3
      value: 18.535083333333336
    - type: recall_at_5
      value: 21.596166666666672
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackStatsRetrieval
      type: None
      config: default
      split: test
      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
    metrics:
    - type: map_at_1
      value: 8.457
    - type: map_at_10
      value: 12.277000000000001
    - type: map_at_100
      value: 12.956999999999999
    - type: map_at_1000
      value: 13.052
    - type: map_at_3
      value: 10.931000000000001
    - type: map_at_5
      value: 11.578
    - type: mrr_at_1
      value: 10.428999999999998
    - type: mrr_at_10
      value: 14.289
    - type: mrr_at_100
      value: 15.023
    - type: mrr_at_1000
      value: 15.109
    - type: mrr_at_3
      value: 13.139000000000001
    - type: mrr_at_5
      value: 13.691
    - type: ndcg_at_1
      value: 10.428999999999998
    - type: ndcg_at_10
      value: 14.753
    - type: ndcg_at_100
      value: 18.581
    - type: ndcg_at_1000
      value: 21.272
    - type: ndcg_at_3
      value: 12.399000000000001
    - type: ndcg_at_5
      value: 13.297
    - type: precision_at_1
      value: 10.428999999999998
    - type: precision_at_10
      value: 2.6229999999999998
    - type: precision_at_100
      value: 0.49100000000000005
    - type: precision_at_1000
      value: 0.079
    - type: precision_at_3
      value: 5.827999999999999
    - type: precision_at_5
      value: 4.141
    - type: recall_at_1
      value: 8.457
    - type: recall_at_10
      value: 20.515
    - type: recall_at_100
      value: 38.675
    - type: recall_at_1000
      value: 58.999
    - type: recall_at_3
      value: 13.779
    - type: recall_at_5
      value: 16.13
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackTexRetrieval
      type: None
      config: default
      split: test
      revision: 46989137a86843e03a6195de44b09deda022eec7
    metrics:
    - type: map_at_1
      value: 6.755999999999999
    - type: map_at_10
      value: 9.440999999999999
    - type: map_at_100
      value: 10.006
    - type: map_at_1000
      value: 10.116
    - type: map_at_3
      value: 8.423
    - type: map_at_5
      value: 8.976
    - type: mrr_at_1
      value: 8.706
    - type: mrr_at_10
      value: 11.613
    - type: mrr_at_100
      value: 12.2
    - type: mrr_at_1000
      value: 12.293
    - type: mrr_at_3
      value: 10.57
    - type: mrr_at_5
      value: 11.124
    - type: ndcg_at_1
      value: 8.706
    - type: ndcg_at_10
      value: 11.529
    - type: ndcg_at_100
      value: 14.59
    - type: ndcg_at_1000
      value: 17.8
    - type: ndcg_at_3
      value: 9.666
    - type: ndcg_at_5
      value: 10.471
    - type: precision_at_1
      value: 8.706
    - type: precision_at_10
      value: 2.182
    - type: precision_at_100
      value: 0.44999999999999996
    - type: precision_at_1000
      value: 0.087
    - type: precision_at_3
      value: 4.611
    - type: precision_at_5
      value: 3.4070000000000005
    - type: recall_at_1
      value: 6.755999999999999
    - type: recall_at_10
      value: 15.803
    - type: recall_at_100
      value: 30.062
    - type: recall_at_1000
      value: 54.057
    - type: recall_at_3
      value: 10.401
    - type: recall_at_5
      value: 12.559999999999999
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackUnixRetrieval
      type: None
      config: default
      split: test
      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
    metrics:
    - type: map_at_1
      value: 11.104
    - type: map_at_10
      value: 13.952
    - type: map_at_100
      value: 14.631
    - type: map_at_1000
      value: 14.735999999999999
    - type: map_at_3
      value: 12.895999999999999
    - type: map_at_5
      value: 13.447999999999999
    - type: mrr_at_1
      value: 13.34
    - type: mrr_at_10
      value: 16.384
    - type: mrr_at_100
      value: 17.064
    - type: mrr_at_1000
      value: 17.161
    - type: mrr_at_3
      value: 15.235999999999999
    - type: mrr_at_5
      value: 15.828999999999999
    - type: ndcg_at_1
      value: 13.34
    - type: ndcg_at_10
      value: 16.172
    - type: ndcg_at_100
      value: 20.012
    - type: ndcg_at_1000
      value: 23.247999999999998
    - type: ndcg_at_3
      value: 14.149999999999999
    - type: ndcg_at_5
      value: 15.001000000000001
    - type: precision_at_1
      value: 13.34
    - type: precision_at_10
      value: 2.649
    - type: precision_at_100
      value: 0.508
    - type: precision_at_1000
      value: 0.08800000000000001
    - type: precision_at_3
      value: 6.311999999999999
    - type: precision_at_5
      value: 4.347
    - type: recall_at_1
      value: 11.104
    - type: recall_at_10
      value: 20.756
    - type: recall_at_100
      value: 39.066
    - type: recall_at_1000
      value: 63.626000000000005
    - type: recall_at_3
      value: 14.943999999999999
    - type: recall_at_5
      value: 17.331
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWebmastersRetrieval
      type: None
      config: default
      split: test
      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
    metrics:
    - type: map_at_1
      value: 13.211999999999998
    - type: map_at_10
      value: 17.443
    - type: map_at_100
      value: 18.364
    - type: map_at_1000
      value: 18.55
    - type: map_at_3
      value: 16.042
    - type: map_at_5
      value: 16.885
    - type: mrr_at_1
      value: 16.403000000000002
    - type: mrr_at_10
      value: 20.865000000000002
    - type: mrr_at_100
      value: 21.624
    - type: mrr_at_1000
      value: 21.718
    - type: mrr_at_3
      value: 19.401
    - type: mrr_at_5
      value: 20.25
    - type: ndcg_at_1
      value: 16.403000000000002
    - type: ndcg_at_10
      value: 20.677
    - type: ndcg_at_100
      value: 24.727
    - type: ndcg_at_1000
      value: 28.391
    - type: ndcg_at_3
      value: 18.382
    - type: ndcg_at_5
      value: 19.572
    - type: precision_at_1
      value: 16.403000000000002
    - type: precision_at_10
      value: 3.755
    - type: precision_at_100
      value: 0.9209999999999999
    - type: precision_at_1000
      value: 0.172
    - type: precision_at_3
      value: 8.498
    - type: precision_at_5
      value: 6.2059999999999995
    - type: recall_at_1
      value: 13.211999999999998
    - type: recall_at_10
      value: 26.532
    - type: recall_at_100
      value: 45.253
    - type: recall_at_1000
      value: 70.62
    - type: recall_at_3
      value: 19.024
    - type: recall_at_5
      value: 22.448999999999998
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWordpressRetrieval
      type: None
      config: default
      split: test
      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
    metrics:
    - type: map_at_1
      value: 8.386000000000001
    - type: map_at_10
      value: 11.834999999999999
    - type: map_at_100
      value: 12.559999999999999
    - type: map_at_1000
      value: 12.662999999999998
    - type: map_at_3
      value: 10.632
    - type: map_at_5
      value: 11.343
    - type: mrr_at_1
      value: 9.612
    - type: mrr_at_10
      value: 13.158
    - type: mrr_at_100
      value: 13.888
    - type: mrr_at_1000
      value: 13.988
    - type: mrr_at_3
      value: 12.015
    - type: mrr_at_5
      value: 12.662
    - type: ndcg_at_1
      value: 9.612
    - type: ndcg_at_10
      value: 14.155000000000001
    - type: ndcg_at_100
      value: 18.174
    - type: ndcg_at_1000
      value: 21.448
    - type: ndcg_at_3
      value: 11.755
    - type: ndcg_at_5
      value: 12.955
    - type: precision_at_1
      value: 9.612
    - type: precision_at_10
      value: 2.311
    - type: precision_at_100
      value: 0.464
    - type: precision_at_1000
      value: 0.08
    - type: precision_at_3
      value: 5.176
    - type: precision_at_5
      value: 3.8080000000000003
    - type: recall_at_1
      value: 8.386000000000001
    - type: recall_at_10
      value: 20.225
    - type: recall_at_100
      value: 39.532000000000004
    - type: recall_at_1000
      value: 65.33
    - type: recall_at_3
      value: 13.629
    - type: recall_at_5
      value: 16.556
  - task:
      type: Retrieval
    dataset:
      name: MTEB ClimateFEVER
      type: None
      config: default
      split: test
      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
    metrics:
    - type: map_at_1
      value: 8.164
    - type: map_at_10
      value: 14.027999999999999
    - type: map_at_100
      value: 15.817
    - type: map_at_1000
      value: 16.047
    - type: map_at_3
      value: 11.501
    - type: map_at_5
      value: 12.674
    - type: mrr_at_1
      value: 18.502
    - type: mrr_at_10
      value: 28.503
    - type: mrr_at_100
      value: 29.686
    - type: mrr_at_1000
      value: 29.742
    - type: mrr_at_3
      value: 24.995
    - type: mrr_at_5
      value: 26.76
    - type: ndcg_at_1
      value: 18.502
    - type: ndcg_at_10
      value: 20.954
    - type: ndcg_at_100
      value: 28.532999999999998
    - type: ndcg_at_1000
      value: 32.732
    - type: ndcg_at_3
      value: 16.3
    - type: ndcg_at_5
      value: 17.681
    - type: precision_at_1
      value: 18.502
    - type: precision_at_10
      value: 6.977
    - type: precision_at_100
      value: 1.496
    - type: precision_at_1000
      value: 0.22599999999999998
    - type: precision_at_3
      value: 12.313
    - type: precision_at_5
      value: 9.668000000000001
    - type: recall_at_1
      value: 8.164
    - type: recall_at_10
      value: 26.41
    - type: recall_at_100
      value: 52.81
    - type: recall_at_1000
      value: 76.554
    - type: recall_at_3
      value: 14.974000000000002
    - type: recall_at_5
      value: 18.961
  - task:
      type: Retrieval
    dataset:
      name: MTEB DBPedia
      type: None
      config: default
      split: test
      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
    metrics:
    - type: map_at_1
      value: 3.769
    - type: map_at_10
      value: 9.778
    - type: map_at_100
      value: 14.66
    - type: map_at_1000
      value: 15.863
    - type: map_at_3
      value: 6.691999999999999
    - type: map_at_5
      value: 8.03
    - type: mrr_at_1
      value: 39.5
    - type: mrr_at_10
      value: 50.370000000000005
    - type: mrr_at_100
      value: 51.09
    - type: mrr_at_1000
      value: 51.117000000000004
    - type: mrr_at_3
      value: 47.833
    - type: mrr_at_5
      value: 49.233
    - type: ndcg_at_1
      value: 28.999999999999996
    - type: ndcg_at_10
      value: 24.253
    - type: ndcg_at_100
      value: 28.88
    - type: ndcg_at_1000
      value: 36.449
    - type: ndcg_at_3
      value: 26.119999999999997
    - type: ndcg_at_5
      value: 25.023
    - type: precision_at_1
      value: 39.5
    - type: precision_at_10
      value: 22.375
    - type: precision_at_100
      value: 7.605
    - type: precision_at_1000
      value: 1.5709999999999997
    - type: precision_at_3
      value: 32.083
    - type: precision_at_5
      value: 28.349999999999998
    - type: recall_at_1
      value: 3.769
    - type: recall_at_10
      value: 14.913000000000002
    - type: recall_at_100
      value: 36.785000000000004
    - type: recall_at_1000
      value: 63.002
    - type: recall_at_3
      value: 8.312999999999999
    - type: recall_at_5
      value: 10.679
  - task:
      type: Classification
    dataset:
      name: MTEB EmotionClassification
      type: None
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 32.65
    - type: f1
      value: 29.880167211493507
  - task:
      type: Retrieval
    dataset:
      name: MTEB FEVER
      type: None
      config: default
      split: test
      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
    metrics:
    - type: map_at_1
      value: 15.365
    - type: map_at_10
      value: 23.764
    - type: map_at_100
      value: 24.849
    - type: map_at_1000
      value: 24.926000000000002
    - type: map_at_3
      value: 20.857999999999997
    - type: map_at_5
      value: 22.488
    - type: mrr_at_1
      value: 16.412
    - type: mrr_at_10
      value: 25.202
    - type: mrr_at_100
      value: 26.273000000000003
    - type: mrr_at_1000
      value: 26.339000000000002
    - type: mrr_at_3
      value: 22.172
    - type: mrr_at_5
      value: 23.860999999999997
    - type: ndcg_at_1
      value: 16.412
    - type: ndcg_at_10
      value: 29.026000000000003
    - type: ndcg_at_100
      value: 34.43
    - type: ndcg_at_1000
      value: 36.522
    - type: ndcg_at_3
      value: 23.027
    - type: ndcg_at_5
      value: 25.946
    - type: precision_at_1
      value: 16.412
    - type: precision_at_10
      value: 4.8149999999999995
    - type: precision_at_100
      value: 0.771
    - type: precision_at_1000
      value: 0.097
    - type: precision_at_3
      value: 10.030999999999999
    - type: precision_at_5
      value: 7.558
    - type: recall_at_1
      value: 15.365
    - type: recall_at_10
      value: 44.224999999999994
    - type: recall_at_100
      value: 69.169
    - type: recall_at_1000
      value: 85.272
    - type: recall_at_3
      value: 28.015
    - type: recall_at_5
      value: 34.958
  - task:
      type: Retrieval
    dataset:
      name: MTEB FiQA2018
      type: None
      config: default
      split: test
      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
    metrics:
    - type: map_at_1
      value: 5.4190000000000005
    - type: map_at_10
      value: 9.495000000000001
    - type: map_at_100
      value: 10.551
    - type: map_at_1000
      value: 10.725
    - type: map_at_3
      value: 7.845000000000001
    - type: map_at_5
      value: 8.661000000000001
    - type: mrr_at_1
      value: 11.574
    - type: mrr_at_10
      value: 17.357
    - type: mrr_at_100
      value: 18.298000000000002
    - type: mrr_at_1000
      value: 18.403
    - type: mrr_at_3
      value: 15.432000000000002
    - type: mrr_at_5
      value: 16.543
    - type: ndcg_at_1
      value: 11.574
    - type: ndcg_at_10
      value: 13.574
    - type: ndcg_at_100
      value: 18.847
    - type: ndcg_at_1000
      value: 23.105999999999998
    - type: ndcg_at_3
      value: 11.16
    - type: ndcg_at_5
      value: 12.015
    - type: precision_at_1
      value: 11.574
    - type: precision_at_10
      value: 4.167
    - type: precision_at_100
      value: 0.9259999999999999
    - type: precision_at_1000
      value: 0.166
    - type: precision_at_3
      value: 7.716000000000001
    - type: precision_at_5
      value: 6.08
    - type: recall_at_1
      value: 5.4190000000000005
    - type: recall_at_10
      value: 17.76
    - type: recall_at_100
      value: 39.080999999999996
    - type: recall_at_1000
      value: 65.713
    - type: recall_at_3
      value: 10.348
    - type: recall_at_5
      value: 13.274
  - task:
      type: Retrieval
    dataset:
      name: MTEB HotpotQA
      type: None
      config: default
      split: test
      revision: ab518f4d6fcca38d87c25209f94beba119d02014
    metrics:
    - type: map_at_1
      value: 18.697
    - type: map_at_10
      value: 26.466
    - type: map_at_100
      value: 27.464
    - type: map_at_1000
      value: 27.581
    - type: map_at_3
      value: 24.284
    - type: map_at_5
      value: 25.478
    - type: mrr_at_1
      value: 37.394
    - type: mrr_at_10
      value: 44.827
    - type: mrr_at_100
      value: 45.553
    - type: mrr_at_1000
      value: 45.601
    - type: mrr_at_3
      value: 42.82
    - type: mrr_at_5
      value: 43.980999999999995
    - type: ndcg_at_1
      value: 37.394
    - type: ndcg_at_10
      value: 33.726
    - type: ndcg_at_100
      value: 38.244
    - type: ndcg_at_1000
      value: 40.931
    - type: ndcg_at_3
      value: 29.660999999999998
    - type: ndcg_at_5
      value: 31.627
    - type: precision_at_1
      value: 37.394
    - type: precision_at_10
      value: 7.453
    - type: precision_at_100
      value: 1.107
    - type: precision_at_1000
      value: 0.147
    - type: precision_at_3
      value: 18.708
    - type: precision_at_5
      value: 12.786
    - type: recall_at_1
      value: 18.697
    - type: recall_at_10
      value: 37.265
    - type: recall_at_100
      value: 55.361000000000004
    - type: recall_at_1000
      value: 73.309
    - type: recall_at_3
      value: 28.061999999999998
    - type: recall_at_5
      value: 31.965
  - task:
      type: Classification
    dataset:
      name: MTEB ImdbClassification
      type: None
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 62.501200000000004
    - type: ap
      value: 58.18346363982655
    - type: f1
      value: 62.06363638797886
  - task:
      type: Retrieval
    dataset:
      name: MTEB MSMARCO
      type: None
      config: default
      split: dev
      revision: c5a29a104738b98a9e76336939199e264163d4a0
    metrics:
    - type: map_at_1
      value: 4.475
    - type: map_at_10
      value: 7.548000000000001
    - type: map_at_100
      value: 8.303
    - type: map_at_1000
      value: 8.408999999999999
    - type: map_at_3
      value: 6.4079999999999995
    - type: map_at_5
      value: 6.97
    - type: mrr_at_1
      value: 4.599
    - type: mrr_at_10
      value: 7.739
    - type: mrr_at_100
      value: 8.506
    - type: mrr_at_1000
      value: 8.61
    - type: mrr_at_3
      value: 6.564
    - type: mrr_at_5
      value: 7.159
    - type: ndcg_at_1
      value: 4.569999999999999
    - type: ndcg_at_10
      value: 9.514
    - type: ndcg_at_100
      value: 13.806
    - type: ndcg_at_1000
      value: 17.055
    - type: ndcg_at_3
      value: 7.093000000000001
    - type: ndcg_at_5
      value: 8.122
    - type: precision_at_1
      value: 4.569999999999999
    - type: precision_at_10
      value: 1.628
    - type: precision_at_100
      value: 0.388
    - type: precision_at_1000
      value: 0.067
    - type: precision_at_3
      value: 3.061
    - type: precision_at_5
      value: 2.367
    - type: recall_at_1
      value: 4.475
    - type: recall_at_10
      value: 15.67
    - type: recall_at_100
      value: 36.923
    - type: recall_at_1000
      value: 63.080999999999996
    - type: recall_at_3
      value: 8.949
    - type: recall_at_5
      value: 11.415000000000001
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: None
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 87.92749658002738
    - type: f1
      value: 87.25765619114891
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (en)
      type: None
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 62.38486092111264
    - type: f1
      value: 40.63201769282365
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: None
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 58.678547410894424
    - type: f1
      value: 56.445831367242114
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (en)
      type: None
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 67.16543375924681
    - type: f1
      value: 65.44847774373383
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringP2P
      type: None
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 29.0020121507179
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringS2S
      type: None
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 25.38089808676193
  - task:
      type: Reranking
    dataset:
      name: MTEB MindSmallReranking
      type: None
      config: default
      split: test
      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
    metrics:
    - type: map
      value: 29.008385717263398
    - type: mrr
      value: 29.937303287869977
  - task:
      type: Retrieval
    dataset:
      name: MTEB NFCorpus
      type: None
      config: default
      split: test
      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
    metrics:
    - type: map_at_1
      value: 2.938
    - type: map_at_10
      value: 6.718
    - type: map_at_100
      value: 8.602
    - type: map_at_1000
      value: 9.879999999999999
    - type: map_at_3
      value: 5.066
    - type: map_at_5
      value: 5.9799999999999995
    - type: mrr_at_1
      value: 26.006
    - type: mrr_at_10
      value: 37.143
    - type: mrr_at_100
      value: 38.007000000000005
    - type: mrr_at_1000
      value: 38.056
    - type: mrr_at_3
      value: 33.953
    - type: mrr_at_5
      value: 35.980000000000004
    - type: ndcg_at_1
      value: 24.768
    - type: ndcg_at_10
      value: 21.893
    - type: ndcg_at_100
      value: 21.193
    - type: ndcg_at_1000
      value: 30.911
    - type: ndcg_at_3
      value: 23.912
    - type: ndcg_at_5
      value: 23.749000000000002
    - type: precision_at_1
      value: 26.006
    - type: precision_at_10
      value: 16.378
    - type: precision_at_100
      value: 6.059
    - type: precision_at_1000
      value: 1.934
    - type: precision_at_3
      value: 22.601
    - type: precision_at_5
      value: 20.929000000000002
    - type: recall_at_1
      value: 2.938
    - type: recall_at_10
      value: 11.195
    - type: recall_at_100
      value: 24.473
    - type: recall_at_1000
      value: 58.553
    - type: recall_at_3
      value: 6.487
    - type: recall_at_5
      value: 9.02
  - task:
      type: Retrieval
    dataset:
      name: MTEB NQ
      type: None
      config: default
      split: test
      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
    metrics:
    - type: map_at_1
      value: 8.761
    - type: map_at_10
      value: 15.726
    - type: map_at_100
      value: 17.130000000000003
    - type: map_at_1000
      value: 17.244999999999997
    - type: map_at_3
      value: 13.001
    - type: map_at_5
      value: 14.438999999999998
    - type: mrr_at_1
      value: 9.994
    - type: mrr_at_10
      value: 17.455000000000002
    - type: mrr_at_100
      value: 18.736
    - type: mrr_at_1000
      value: 18.828
    - type: mrr_at_3
      value: 14.634
    - type: mrr_at_5
      value: 16.158
    - type: ndcg_at_1
      value: 9.994
    - type: ndcg_at_10
      value: 20.453
    - type: ndcg_at_100
      value: 27.514
    - type: ndcg_at_1000
      value: 30.45
    - type: ndcg_at_3
      value: 14.802000000000001
    - type: ndcg_at_5
      value: 17.394000000000002
    - type: precision_at_1
      value: 9.994
    - type: precision_at_10
      value: 3.914
    - type: precision_at_100
      value: 0.7939999999999999
    - type: precision_at_1000
      value: 0.107
    - type: precision_at_3
      value: 7.0680000000000005
    - type: precision_at_5
      value: 5.655
    - type: recall_at_1
      value: 8.761
    - type: recall_at_10
      value: 33.534000000000006
    - type: recall_at_100
      value: 66.28500000000001
    - type: recall_at_1000
      value: 88.458
    - type: recall_at_3
      value: 18.436
    - type: recall_at_5
      value: 24.508
  - task:
      type: Retrieval
    dataset:
      name: MTEB QuoraRetrieval
      type: None
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 50.617000000000004
    - type: map_at_10
      value: 62.446999999999996
    - type: map_at_100
      value: 63.410999999999994
    - type: map_at_1000
      value: 63.461
    - type: map_at_3
      value: 59.382999999999996
    - type: map_at_5
      value: 61.17
    - type: mrr_at_1
      value: 58.160000000000004
    - type: mrr_at_10
      value: 67.013
    - type: mrr_at_100
      value: 67.47
    - type: mrr_at_1000
      value: 67.488
    - type: mrr_at_3
      value: 65.005
    - type: mrr_at_5
      value: 66.238
    - type: ndcg_at_1
      value: 58.209999999999994
    - type: ndcg_at_10
      value: 67.907
    - type: ndcg_at_100
      value: 71.194
    - type: ndcg_at_1000
      value: 72.02
    - type: ndcg_at_3
      value: 63.429
    - type: ndcg_at_5
      value: 65.655
    - type: precision_at_1
      value: 58.209999999999994
    - type: precision_at_10
      value: 10.537
    - type: precision_at_100
      value: 1.355
    - type: precision_at_1000
      value: 0.15
    - type: precision_at_3
      value: 27.677000000000003
    - type: precision_at_5
      value: 18.6
    - type: recall_at_1
      value: 50.617000000000004
    - type: recall_at_10
      value: 79.323
    - type: recall_at_100
      value: 92.571
    - type: recall_at_1000
      value: 97.94
    - type: recall_at_3
      value: 66.81899999999999
    - type: recall_at_5
      value: 72.738
    - type: map_at_1
      value: 2.5829999999999997
    - type: map_at_10
      value: 6.2059999999999995
    - type: map_at_100
      value: 7.46
    - type: map_at_1000
      value: 7.724
    - type: map_at_3
      value: 4.515000000000001
    - type: map_at_5
      value: 5.313
    - type: mrr_at_1
      value: 12.7
    - type: mrr_at_10
      value: 20.615
    - type: mrr_at_100
      value: 21.841
    - type: mrr_at_1000
      value: 21.931
    - type: mrr_at_3
      value: 17.983
    - type: mrr_at_5
      value: 19.468
    - type: ndcg_at_1
      value: 12.7
    - type: ndcg_at_10
      value: 11.366
    - type: ndcg_at_100
      value: 17.448
    - type: ndcg_at_1000
      value: 22.86
    - type: ndcg_at_3
      value: 10.541
    - type: ndcg_at_5
      value: 9.27
    - type: precision_at_1
      value: 12.7
    - type: precision_at_10
      value: 5.96
    - type: precision_at_100
      value: 1.4949999999999999
    - type: precision_at_1000
      value: 0.27999999999999997
    - type: precision_at_3
      value: 9.833
    - type: precision_at_5
      value: 8.16
    - type: recall_at_1
      value: 2.5829999999999997
    - type: recall_at_10
      value: 12.107999999999999
    - type: recall_at_100
      value: 30.368000000000002
    - type: recall_at_1000
      value: 57.01500000000001
    - type: recall_at_3
      value: 5.997
    - type: recall_at_5
      value: 8.267
    - type: map_at_1
      value: 0.174
    - type: map_at_10
      value: 0.9730000000000001
    - type: map_at_100
      value: 4.8629999999999995
    - type: map_at_1000
      value: 11.895999999999999
    - type: map_at_3
      value: 0.373
    - type: map_at_5
      value: 0.575
    - type: mrr_at_1
      value: 68.0
    - type: mrr_at_10
      value: 75.888
    - type: mrr_at_100
      value: 76.254
    - type: mrr_at_1000
      value: 76.254
    - type: mrr_at_3
      value: 73.0
    - type: mrr_at_5
      value: 74.4
    - type: ndcg_at_1
      value: 59.0
    - type: ndcg_at_10
      value: 49.874
    - type: ndcg_at_100
      value: 34.993
    - type: ndcg_at_1000
      value: 31.941999999999997
    - type: ndcg_at_3
      value: 54.06100000000001
    - type: ndcg_at_5
      value: 52.995000000000005
    - type: precision_at_1
      value: 68.0
    - type: precision_at_10
      value: 53.0
    - type: precision_at_100
      value: 36.5
    - type: precision_at_1000
      value: 15.387999999999998
    - type: precision_at_3
      value: 57.333
    - type: precision_at_5
      value: 56.00000000000001
    - type: recall_at_1
      value: 0.174
    - type: recall_at_10
      value: 1.2309999999999999
    - type: recall_at_100
      value: 7.992000000000001
    - type: recall_at_1000
      value: 31.196
    - type: recall_at_3
      value: 0.402
    - type: recall_at_5
      value: 0.6629999999999999
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClustering
      type: None
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 27.614256384463857
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P
      type: None
      config: default
      split: test
      revision: 282350215ef01743dc01b456c7f5241fa8937f16
    metrics:
    - type: v_measure
      value: 43.3985031467972
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R
      type: None
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 71.20191820585771
    - type: cos_sim_spearman
      value: 63.188418528056154
    - type: euclidean_pearson
      value: 66.35805656990442
    - type: euclidean_spearman
      value: 63.188419919236026
    - type: manhattan_pearson
      value: 66.35916937980369
    - type: manhattan_spearman
      value: 63.19689219580521
  - task:
      type: STS
    dataset:
      name: MTEB STS12
      type: None
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 62.0981012286976
    - type: cos_sim_spearman
      value: 54.06088997149339
    - type: euclidean_pearson
      value: 58.41368195412464
    - type: euclidean_spearman
      value: 54.060897938295874
    - type: manhattan_pearson
      value: 58.36282766097337
    - type: manhattan_spearman
      value: 54.00939603392602
  - task:
      type: STS
    dataset:
      name: MTEB STS13
      type: None
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 65.43822899853205
    - type: cos_sim_spearman
      value: 66.28982173651268
    - type: euclidean_pearson
      value: 66.25168173069544
    - type: euclidean_spearman
      value: 66.28982173651268
    - type: manhattan_pearson
      value: 66.29528131169018
    - type: manhattan_spearman
      value: 66.30514044017556
  - task:
      type: STS
    dataset:
      name: MTEB STS14
      type: None
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 68.85545701953573
    - type: cos_sim_spearman
      value: 65.8423661018879
    - type: euclidean_pearson
      value: 67.39130944724522
    - type: euclidean_spearman
      value: 65.84235792564506
    - type: manhattan_pearson
      value: 67.33275532056476
    - type: manhattan_spearman
      value: 65.76611698295058
  - task:
      type: STS
    dataset:
      name: MTEB STS15
      type: None
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 77.6285908539812
    - type: cos_sim_spearman
      value: 78.00003678271976
    - type: euclidean_pearson
      value: 76.65512597965616
    - type: euclidean_spearman
      value: 78.00003756367411
    - type: manhattan_pearson
      value: 76.56885350996806
    - type: manhattan_spearman
      value: 77.91110691090714
  - task:
      type: STS
    dataset:
      name: MTEB STS16
      type: None
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 70.0179595501149
    - type: cos_sim_spearman
      value: 70.63693611196106
    - type: euclidean_pearson
      value: 69.91996229063233
    - type: euclidean_spearman
      value: 70.63693611196106
    - type: manhattan_pearson
      value: 69.74064865110743
    - type: manhattan_spearman
      value: 70.49237791641166
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: None
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 81.38227180590602
    - type: cos_sim_spearman
      value: 82.2302028734954
    - type: euclidean_pearson
      value: 80.33214158036749
    - type: euclidean_spearman
      value: 82.2302028734954
    - type: manhattan_pearson
      value: 80.26383602296497
    - type: manhattan_spearman
      value: 82.24108129797949
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: None
      config: en
      split: test
      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
    metrics:
    - type: cos_sim_pearson
      value: 48.87003149345676
    - type: cos_sim_spearman
      value: 54.52763255764367
    - type: euclidean_pearson
      value: 52.91515449092965
    - type: euclidean_spearman
      value: 54.52763255764367
    - type: manhattan_pearson
      value: 52.909005946862884
    - type: manhattan_spearman
      value: 54.567349154887964
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark
      type: None
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 70.6609943484634
    - type: cos_sim_spearman
      value: 68.040381040423
    - type: euclidean_pearson
      value: 69.52004530755512
    - type: euclidean_spearman
      value: 68.040381040423
    - type: manhattan_pearson
      value: 69.37989181254093
    - type: manhattan_spearman
      value: 67.88012464800055
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: None
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 70.94408788023235
    - type: mrr
      value: 90.05190252739271
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact
      type: None
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
    - type: map_at_1
      value: 26.694000000000003
    - type: map_at_10
      value: 34.503
    - type: map_at_100
      value: 35.494
    - type: map_at_1000
      value: 35.582
    - type: map_at_3
      value: 32.255
    - type: map_at_5
      value: 33.312999999999995
    - type: mrr_at_1
      value: 28.333000000000002
    - type: mrr_at_10
      value: 35.782000000000004
    - type: mrr_at_100
      value: 36.681000000000004
    - type: mrr_at_1000
      value: 36.756
    - type: mrr_at_3
      value: 33.667
    - type: mrr_at_5
      value: 34.8
    - type: ndcg_at_1
      value: 28.333000000000002
    - type: ndcg_at_10
      value: 38.799
    - type: ndcg_at_100
      value: 44.086
    - type: ndcg_at_1000
      value: 46.472
    - type: ndcg_at_3
      value: 34.215
    - type: ndcg_at_5
      value: 36.172
    - type: precision_at_1
      value: 28.333000000000002
    - type: precision_at_10
      value: 5.7
    - type: precision_at_100
      value: 0.8630000000000001
    - type: precision_at_1000
      value: 0.108
    - type: precision_at_3
      value: 13.889000000000001
    - type: precision_at_5
      value: 9.4
    - type: recall_at_1
      value: 26.694000000000003
    - type: recall_at_10
      value: 50.917
    - type: recall_at_100
      value: 76.656
    - type: recall_at_1000
      value: 95.267
    - type: recall_at_3
      value: 38.25
    - type: recall_at_5
      value: 43.25
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: None
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.48415841584158
    - type: cos_sim_ap
      value: 75.5294698715949
    - type: cos_sim_f1
      value: 71.24183006535948
    - type: cos_sim_precision
      value: 78.22966507177034
    - type: cos_sim_recall
      value: 65.4
    - type: dot_accuracy
      value: 99.48415841584158
    - type: dot_ap
      value: 75.52946987159491
    - type: dot_f1
      value: 71.24183006535948
    - type: dot_precision
      value: 78.22966507177034
    - type: dot_recall
      value: 65.4
    - type: euclidean_accuracy
      value: 99.48415841584158
    - type: euclidean_ap
      value: 75.52946987159491
    - type: euclidean_f1
      value: 71.24183006535948
    - type: euclidean_precision
      value: 78.22966507177034
    - type: euclidean_recall
      value: 65.4
    - type: manhattan_accuracy
      value: 99.48613861386139
    - type: manhattan_ap
      value: 75.59805792371247
    - type: manhattan_f1
      value: 71.09670448406267
    - type: manhattan_precision
      value: 77.32079905992948
    - type: manhattan_recall
      value: 65.8
    - type: max_accuracy
      value: 99.48613861386139
    - type: max_ap
      value: 75.59805792371247
    - type: max_f1
      value: 71.24183006535948
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: None
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 36.2418226457569
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: None
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
    - type: v_measure
      value: 26.597595659025647
  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions
      type: None
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 39.17978046798001
    - type: mrr
      value: 39.22605784738137
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval
      type: None
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 30.488839898095343
    - type: cos_sim_spearman
      value: 29.51032126703428
    - type: dot_pearson
      value: 30.488840936964046
    - type: dot_spearman
      value: 29.51032126703428
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020
      type: None
      config: default
      split: test
      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
    metrics:
    - type: map_at_1
      value: 1.409
    - type: map_at_10
      value: 6.394
    - type: map_at_100
      value: 11.241
    - type: map_at_1000
      value: 12.983
    - type: map_at_3
      value: 3.3009999999999997
    - type: map_at_5
      value: 4.623
    - type: mrr_at_1
      value: 22.448999999999998
    - type: mrr_at_10
      value: 37.69
    - type: mrr_at_100
      value: 38.684000000000005
    - type: mrr_at_1000
      value: 38.684000000000005
    - type: mrr_at_3
      value: 32.653
    - type: mrr_at_5
      value: 35.918
    - type: ndcg_at_1
      value: 20.408
    - type: ndcg_at_10
      value: 18.78
    - type: ndcg_at_100
      value: 31.513999999999996
    - type: ndcg_at_1000
      value: 43.881
    - type: ndcg_at_3
      value: 20.888
    - type: ndcg_at_5
      value: 19.969
    - type: precision_at_1
      value: 22.448999999999998
    - type: precision_at_10
      value: 18.163
    - type: precision_at_100
      value: 7.469
    - type: precision_at_1000
      value: 1.533
    - type: precision_at_3
      value: 23.128999999999998
    - type: precision_at_5
      value: 21.633
    - type: recall_at_1
      value: 1.409
    - type: recall_at_10
      value: 12.661
    - type: recall_at_100
      value: 46.255
    - type: recall_at_1000
      value: 83.985
    - type: recall_at_3
      value: 4.627
    - type: recall_at_5
      value: 7.64
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: None
      config: default
      split: test
      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
    metrics:
    - type: accuracy
      value: 69.02380000000001
    - type: ap
      value: 12.899555442230263
    - type: f1
      value: 52.746966790609385
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification
      type: None
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 51.34125636672325
    - type: f1
      value: 51.47161879631328
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: None
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 29.173704050250223
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: None
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 81.9991655242296
    - type: cos_sim_ap
      value: 58.77288341142418
    - type: cos_sim_f1
      value: 55.504807692307686
    - type: cos_sim_precision
      value: 50.971302428256074
    - type: cos_sim_recall
      value: 60.92348284960423
    - type: dot_accuracy
      value: 81.9991655242296
    - type: dot_ap
      value: 58.772889177211
    - type: dot_f1
      value: 55.504807692307686
    - type: dot_precision
      value: 50.971302428256074
    - type: dot_recall
      value: 60.92348284960423
    - type: euclidean_accuracy
      value: 81.9991655242296
    - type: euclidean_ap
      value: 58.77295994744435
    - type: euclidean_f1
      value: 55.504807692307686
    - type: euclidean_precision
      value: 50.971302428256074
    - type: euclidean_recall
      value: 60.92348284960423
    - type: manhattan_accuracy
      value: 81.96340227692674
    - type: manhattan_ap
      value: 58.689510805177605
    - type: manhattan_f1
      value: 55.47209060441466
    - type: manhattan_precision
      value: 49.35225169648365
    - type: manhattan_recall
      value: 63.3245382585752
    - type: max_accuracy
      value: 81.9991655242296
    - type: max_ap
      value: 58.77295994744435
    - type: max_f1
      value: 55.504807692307686
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus
      type: None
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 87.04544572515232
    - type: cos_sim_ap
      value: 81.32653483064935
    - type: cos_sim_f1
      value: 74.06016421812292
    - type: cos_sim_precision
      value: 70.96888010726131
    - type: cos_sim_recall
      value: 77.4330150908531
    - type: dot_accuracy
      value: 87.04544572515232
    - type: dot_ap
      value: 81.32653640255596
    - type: dot_f1
      value: 74.06016421812292
    - type: dot_precision
      value: 70.96888010726131
    - type: dot_recall
      value: 77.4330150908531
    - type: euclidean_accuracy
      value: 87.04544572515232
    - type: euclidean_ap
      value: 81.32653122898161
    - type: euclidean_f1
      value: 74.06016421812292
    - type: euclidean_precision
      value: 70.96888010726131
    - type: euclidean_recall
      value: 77.4330150908531
    - type: manhattan_accuracy
      value: 87.05514805759304
    - type: manhattan_ap
      value: 81.27825062993327
    - type: manhattan_f1
      value: 74.07811477198342
    - type: manhattan_precision
      value: 70.19297036526534
    - type: manhattan_recall
      value: 78.41854019094548
    - type: max_accuracy
      value: 87.05514805759304
    - type: max_ap
      value: 81.32653640255596
    - type: max_f1
      value: 74.07811477198342
---
