mteb model-index region:us
---
tags:
- mteb
model-index:
- name: llama3_STSprompt_nobivec_new
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: None
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 77.73134328358209
    - type: ap
      value: 40.991048937507344
    - type: f1
      value: 71.56836145374325
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification
      type: None
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 59.50412500000001
    - type: ap
      value: 55.880175099615826
    - type: f1
      value: 59.12104338694791
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: None
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 31.682
    - type: f1
      value: 31.507656848788102
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna
      type: None
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
    metrics:
    - type: map_at_1
      value: 21.124000000000002
    - type: map_at_10
      value: 35.933
    - type: map_at_100
      value: 37.19
    - type: map_at_1000
      value: 37.204
    - type: map_at_3
      value: 30.819999999999997
    - type: map_at_5
      value: 33.633
    - type: mrr_at_1
      value: 21.55
    - type: mrr_at_10
      value: 36.098
    - type: mrr_at_100
      value: 37.354
    - type: mrr_at_1000
      value: 37.368
    - type: mrr_at_3
      value: 30.986000000000004
    - type: mrr_at_5
      value: 33.81
    - type: ndcg_at_1
      value: 21.124000000000002
    - type: ndcg_at_10
      value: 44.673
    - type: ndcg_at_100
      value: 50.092000000000006
    - type: ndcg_at_1000
      value: 50.458999999999996
    - type: ndcg_at_3
      value: 34.06
    - type: ndcg_at_5
      value: 39.158
    - type: precision_at_1
      value: 21.124000000000002
    - type: precision_at_10
      value: 7.283
    - type: precision_at_100
      value: 0.967
    - type: precision_at_1000
      value: 0.1
    - type: precision_at_3
      value: 14.485999999999999
    - type: precision_at_5
      value: 11.181000000000001
    - type: recall_at_1
      value: 21.124000000000002
    - type: recall_at_10
      value: 72.831
    - type: recall_at_100
      value: 96.65700000000001
    - type: recall_at_1000
      value: 99.502
    - type: recall_at_3
      value: 43.457
    - type: recall_at_5
      value: 55.903000000000006
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: None
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 34.5391863685645
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: None
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 24.002944353611184
  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions
      type: None
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 54.45958206069036
    - type: mrr
      value: 68.41786483753242
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: None
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 80.54885689775618
    - type: cos_sim_spearman
      value: 79.60422347478777
    - type: euclidean_pearson
      value: 79.13541395503142
    - type: euclidean_spearman
      value: 79.60422347478777
    - type: manhattan_pearson
      value: 76.51179618256926
    - type: manhattan_spearman
      value: 77.13489010091797
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification
      type: None
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 72.92207792207792
    - type: f1
      value: 72.28356736354407
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: None
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: v_measure
      value: 32.32856318604643
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S
      type: None
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
    - type: v_measure
      value: 23.020127646819724
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: None
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
    metrics:
    - type: map_at_1
      value: 21.7
    - type: map_at_10
      value: 28.768
    - type: map_at_100
      value: 30.085
    - type: map_at_1000
      value: 30.241
    - type: map_at_3
      value: 26.506
    - type: map_at_5
      value: 27.729
    - type: mrr_at_1
      value: 27.467999999999996
    - type: mrr_at_10
      value: 34.551
    - type: mrr_at_100
      value: 35.431000000000004
    - type: mrr_at_1000
      value: 35.504000000000005
    - type: mrr_at_3
      value: 32.523
    - type: mrr_at_5
      value: 33.631
    - type: ndcg_at_1
      value: 27.467999999999996
    - type: ndcg_at_10
      value: 33.595000000000006
    - type: ndcg_at_100
      value: 39.168
    - type: ndcg_at_1000
      value: 42.285000000000004
    - type: ndcg_at_3
      value: 30.246000000000002
    - type: ndcg_at_5
      value: 31.584
    - type: precision_at_1
      value: 27.467999999999996
    - type: precision_at_10
      value: 6.494999999999999
    - type: precision_at_100
      value: 1.149
    - type: precision_at_1000
      value: 0.173
    - type: precision_at_3
      value: 14.783
    - type: precision_at_5
      value: 10.644
    - type: recall_at_1
      value: 21.7
    - type: recall_at_10
      value: 41.736000000000004
    - type: recall_at_100
      value: 66.78500000000001
    - type: recall_at_1000
      value: 88.045
    - type: recall_at_3
      value: 30.974
    - type: recall_at_5
      value: 35.25
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackEnglishRetrieval
      type: None
      config: default
      split: test
      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
    metrics:
    - type: map_at_1
      value: 18.794
    - type: map_at_10
      value: 25.889
    - type: map_at_100
      value: 26.934
    - type: map_at_1000
      value: 27.057
    - type: map_at_3
      value: 23.796
    - type: map_at_5
      value: 24.872
    - type: mrr_at_1
      value: 23.822
    - type: mrr_at_10
      value: 30.304
    - type: mrr_at_100
      value: 31.142999999999997
    - type: mrr_at_1000
      value: 31.208999999999996
    - type: mrr_at_3
      value: 28.408
    - type: mrr_at_5
      value: 29.343999999999998
    - type: ndcg_at_1
      value: 23.822
    - type: ndcg_at_10
      value: 30.207
    - type: ndcg_at_100
      value: 34.870000000000005
    - type: ndcg_at_1000
      value: 37.586000000000006
    - type: ndcg_at_3
      value: 26.761000000000003
    - type: ndcg_at_5
      value: 28.115000000000002
    - type: precision_at_1
      value: 23.822
    - type: precision_at_10
      value: 5.624
    - type: precision_at_100
      value: 1.0030000000000001
    - type: precision_at_1000
      value: 0.15
    - type: precision_at_3
      value: 13.036
    - type: precision_at_5
      value: 9.057
    - type: recall_at_1
      value: 18.794
    - type: recall_at_10
      value: 38.734
    - type: recall_at_100
      value: 58.855000000000004
    - type: recall_at_1000
      value: 77.199
    - type: recall_at_3
      value: 28.469
    - type: recall_at_5
      value: 32.484
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGamingRetrieval
      type: None
      config: default
      split: test
      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
    metrics:
    - type: map_at_1
      value: 26.953
    - type: map_at_10
      value: 35.815000000000005
    - type: map_at_100
      value: 36.919999999999995
    - type: map_at_1000
      value: 37.014
    - type: map_at_3
      value: 33.273
    - type: map_at_5
      value: 34.816
    - type: mrr_at_1
      value: 31.285
    - type: mrr_at_10
      value: 38.952
    - type: mrr_at_100
      value: 39.896
    - type: mrr_at_1000
      value: 39.952
    - type: mrr_at_3
      value: 36.698
    - type: mrr_at_5
      value: 38.04
    - type: ndcg_at_1
      value: 31.285
    - type: ndcg_at_10
      value: 40.521
    - type: ndcg_at_100
      value: 45.85
    - type: ndcg_at_1000
      value: 47.947
    - type: ndcg_at_3
      value: 35.931999999999995
    - type: ndcg_at_5
      value: 38.314
    - type: precision_at_1
      value: 31.285
    - type: precision_at_10
      value: 6.52
    - type: precision_at_100
      value: 1.009
    - type: precision_at_1000
      value: 0.126
    - type: precision_at_3
      value: 15.987000000000002
    - type: precision_at_5
      value: 11.172
    - type: recall_at_1
      value: 26.953
    - type: recall_at_10
      value: 51.715999999999994
    - type: recall_at_100
      value: 75.952
    - type: recall_at_1000
      value: 90.974
    - type: recall_at_3
      value: 39.291
    - type: recall_at_5
      value: 45.26
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGisRetrieval
      type: None
      config: default
      split: test
      revision: 5003b3064772da1887988e05400cf3806fe491f2
    metrics:
    - type: map_at_1
      value: 13.239
    - type: map_at_10
      value: 18.221999999999998
    - type: map_at_100
      value: 19.057
    - type: map_at_1000
      value: 19.171
    - type: map_at_3
      value: 17.026
    - type: map_at_5
      value: 17.544
    - type: mrr_at_1
      value: 14.463000000000001
    - type: mrr_at_10
      value: 19.444
    - type: mrr_at_100
      value: 20.288
    - type: mrr_at_1000
      value: 20.388
    - type: mrr_at_3
      value: 18.267
    - type: mrr_at_5
      value: 18.844
    - type: ndcg_at_1
      value: 14.463000000000001
    - type: ndcg_at_10
      value: 20.947
    - type: ndcg_at_100
      value: 25.552000000000003
    - type: ndcg_at_1000
      value: 29.042
    - type: ndcg_at_3
      value: 18.492
    - type: ndcg_at_5
      value: 19.423000000000002
    - type: precision_at_1
      value: 14.463000000000001
    - type: precision_at_10
      value: 3.198
    - type: precision_at_100
      value: 0.586
    - type: precision_at_1000
      value: 0.094
    - type: precision_at_3
      value: 7.872
    - type: precision_at_5
      value: 5.288
    - type: recall_at_1
      value: 13.239
    - type: recall_at_10
      value: 28.169
    - type: recall_at_100
      value: 50.135
    - type: recall_at_1000
      value: 77.538
    - type: recall_at_3
      value: 21.379
    - type: recall_at_5
      value: 23.648
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackMathematicaRetrieval
      type: None
      config: default
      split: test
      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
    metrics:
    - type: map_at_1
      value: 7.5649999999999995
    - type: map_at_10
      value: 11.068999999999999
    - type: map_at_100
      value: 12.096
    - type: map_at_1000
      value: 12.224
    - type: map_at_3
      value: 9.917
    - type: map_at_5
      value: 10.549
    - type: mrr_at_1
      value: 9.950000000000001
    - type: mrr_at_10
      value: 13.816999999999998
    - type: mrr_at_100
      value: 14.854999999999999
    - type: mrr_at_1000
      value: 14.951999999999998
    - type: mrr_at_3
      value: 12.459000000000001
    - type: mrr_at_5
      value: 13.174
    - type: ndcg_at_1
      value: 9.950000000000001
    - type: ndcg_at_10
      value: 13.605
    - type: ndcg_at_100
      value: 18.95
    - type: ndcg_at_1000
      value: 22.583000000000002
    - type: ndcg_at_3
      value: 11.37
    - type: ndcg_at_5
      value: 12.354999999999999
    - type: precision_at_1
      value: 9.950000000000001
    - type: precision_at_10
      value: 2.587
    - type: precision_at_100
      value: 0.627
    - type: precision_at_1000
      value: 0.107
    - type: precision_at_3
      value: 5.638
    - type: precision_at_5
      value: 4.055000000000001
    - type: recall_at_1
      value: 7.5649999999999995
    - type: recall_at_10
      value: 18.816
    - type: recall_at_100
      value: 42.753
    - type: recall_at_1000
      value: 69.678
    - type: recall_at_3
      value: 12.515
    - type: recall_at_5
      value: 15.082999999999998
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackPhysicsRetrieval
      type: None
      config: default
      split: test
      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
    metrics:
    - type: map_at_1
      value: 18.793000000000003
    - type: map_at_10
      value: 24.906
    - type: map_at_100
      value: 26.172
    - type: map_at_1000
      value: 26.319
    - type: map_at_3
      value: 22.85
    - type: map_at_5
      value: 23.973
    - type: mrr_at_1
      value: 23.003
    - type: mrr_at_10
      value: 29.49
    - type: mrr_at_100
      value: 30.476
    - type: mrr_at_1000
      value: 30.564000000000004
    - type: mrr_at_3
      value: 27.413999999999998
    - type: mrr_at_5
      value: 28.544999999999998
    - type: ndcg_at_1
      value: 23.003
    - type: ndcg_at_10
      value: 29.153000000000002
    - type: ndcg_at_100
      value: 35.071999999999996
    - type: ndcg_at_1000
      value: 38.432
    - type: ndcg_at_3
      value: 25.643
    - type: ndcg_at_5
      value: 27.234
    - type: precision_at_1
      value: 23.003
    - type: precision_at_10
      value: 5.322
    - type: precision_at_100
      value: 0.98
    - type: precision_at_1000
      value: 0.145
    - type: precision_at_3
      value: 11.87
    - type: precision_at_5
      value: 8.508000000000001
    - type: recall_at_1
      value: 18.793000000000003
    - type: recall_at_10
      value: 37.342
    - type: recall_at_100
      value: 63.199000000000005
    - type: recall_at_1000
      value: 86.86500000000001
    - type: recall_at_3
      value: 27.276
    - type: recall_at_5
      value: 31.517
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackProgrammersRetrieval
      type: None
      config: default
      split: test
      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
    metrics:
    - type: map_at_1
      value: 14.824000000000002
    - type: map_at_10
      value: 21.008
    - type: map_at_100
      value: 22.095000000000002
    - type: map_at_1000
      value: 22.235
    - type: map_at_3
      value: 18.725
    - type: map_at_5
      value: 20.058999999999997
    - type: mrr_at_1
      value: 18.493000000000002
    - type: mrr_at_10
      value: 24.820999999999998
    - type: mrr_at_100
      value: 25.727
    - type: mrr_at_1000
      value: 25.818
    - type: mrr_at_3
      value: 22.564999999999998
    - type: mrr_at_5
      value: 23.986
    - type: ndcg_at_1
      value: 18.493000000000002
    - type: ndcg_at_10
      value: 25.207
    - type: ndcg_at_100
      value: 30.558000000000003
    - type: ndcg_at_1000
      value: 33.946
    - type: ndcg_at_3
      value: 21.129
    - type: ndcg_at_5
      value: 23.182
    - type: precision_at_1
      value: 18.493000000000002
    - type: precision_at_10
      value: 4.829
    - type: precision_at_100
      value: 0.901
    - type: precision_at_1000
      value: 0.13699999999999998
    - type: precision_at_3
      value: 10.16
    - type: precision_at_5
      value: 7.739999999999999
    - type: recall_at_1
      value: 14.824000000000002
    - type: recall_at_10
      value: 34.172999999999995
    - type: recall_at_100
      value: 57.69800000000001
    - type: recall_at_1000
      value: 81.938
    - type: recall_at_3
      value: 22.773
    - type: recall_at_5
      value: 28.029
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackRetrieval
      type: mteb/cqadupstack
      config: default
      split: test
      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
    metrics:
    - type: map_at_1
      value: 15.413833333333333
    - type: map_at_10
      value: 20.870750000000005
    - type: map_at_100
      value: 21.866833333333332
    - type: map_at_1000
      value: 21.999583333333334
    - type: map_at_3
      value: 19.127083333333335
    - type: map_at_5
      value: 20.056583333333332
    - type: mrr_at_1
      value: 18.593083333333333
    - type: mrr_at_10
      value: 24.05158333333333
    - type: mrr_at_100
      value: 24.926416666666668
    - type: mrr_at_1000
      value: 25.01416666666667
    - type: mrr_at_3
      value: 22.36258333333334
    - type: mrr_at_5
      value: 23.260666666666662
    - type: ndcg_at_1
      value: 18.593083333333333
    - type: ndcg_at_10
      value: 24.449333333333335
    - type: ndcg_at_100
      value: 29.336250000000003
    - type: ndcg_at_1000
      value: 32.577416666666664
    - type: ndcg_at_3
      value: 21.358916666666666
    - type: ndcg_at_5
      value: 22.688416666666665
    - type: precision_at_1
      value: 18.593083333333333
    - type: precision_at_10
      value: 4.351166666666667
    - type: precision_at_100
      value: 0.81525
    - type: precision_at_1000
      value: 0.12766666666666665
    - type: precision_at_3
      value: 9.9055
    - type: precision_at_5
      value: 7.023833333333333
    - type: recall_at_1
      value: 15.413833333333333
    - type: recall_at_10
      value: 32.02225
    - type: recall_at_100
      value: 54.323083333333344
    - type: recall_at_1000
      value: 77.91749999999999
    - type: recall_at_3
      value: 23.088250000000006
    - type: recall_at_5
      value: 26.674666666666663
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackStatsRetrieval
      type: None
      config: default
      split: test
      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
    metrics:
    - type: map_at_1
      value: 11.532
    - type: map_at_10
      value: 16.082
    - type: map_at_100
      value: 16.891000000000002
    - type: map_at_1000
      value: 16.988
    - type: map_at_3
      value: 14.499999999999998
    - type: map_at_5
      value: 15.318000000000001
    - type: mrr_at_1
      value: 13.497
    - type: mrr_at_10
      value: 18.002000000000002
    - type: mrr_at_100
      value: 18.833
    - type: mrr_at_1000
      value: 18.915000000000003
    - type: mrr_at_3
      value: 16.512999999999998
    - type: mrr_at_5
      value: 17.211000000000002
    - type: ndcg_at_1
      value: 13.497
    - type: ndcg_at_10
      value: 19.031000000000002
    - type: ndcg_at_100
      value: 23.469
    - type: ndcg_at_1000
      value: 26.192999999999998
    - type: ndcg_at_3
      value: 16.083
    - type: ndcg_at_5
      value: 17.294999999999998
    - type: precision_at_1
      value: 13.497
    - type: precision_at_10
      value: 3.328
    - type: precision_at_100
      value: 0.607
    - type: precision_at_1000
      value: 0.091
    - type: precision_at_3
      value: 7.26
    - type: precision_at_5
      value: 5.122999999999999
    - type: recall_at_1
      value: 11.532
    - type: recall_at_10
      value: 26.212999999999997
    - type: recall_at_100
      value: 47.099999999999994
    - type: recall_at_1000
      value: 67.753
    - type: recall_at_3
      value: 18.053
    - type: recall_at_5
      value: 21.173000000000002
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackTexRetrieval
      type: None
      config: default
      split: test
      revision: 46989137a86843e03a6195de44b09deda022eec7
    metrics:
    - type: map_at_1
      value: 8.117
    - type: map_at_10
      value: 11.779
    - type: map_at_100
      value: 12.393
    - type: map_at_1000
      value: 12.524
    - type: map_at_3
      value: 10.56
    - type: map_at_5
      value: 11.24
    - type: mrr_at_1
      value: 10.116999999999999
    - type: mrr_at_10
      value: 14.194
    - type: mrr_at_100
      value: 14.813
    - type: mrr_at_1000
      value: 14.918000000000001
    - type: mrr_at_3
      value: 12.91
    - type: mrr_at_5
      value: 13.619
    - type: ndcg_at_1
      value: 10.116999999999999
    - type: ndcg_at_10
      value: 14.371999999999998
    - type: ndcg_at_100
      value: 17.809
    - type: ndcg_at_1000
      value: 21.55
    - type: ndcg_at_3
      value: 12.145999999999999
    - type: ndcg_at_5
      value: 13.152
    - type: precision_at_1
      value: 10.116999999999999
    - type: precision_at_10
      value: 2.715
    - type: precision_at_100
      value: 0.532
    - type: precision_at_1000
      value: 0.10200000000000001
    - type: precision_at_3
      value: 5.942
    - type: precision_at_5
      value: 4.315
    - type: recall_at_1
      value: 8.117
    - type: recall_at_10
      value: 19.831
    - type: recall_at_100
      value: 36.102000000000004
    - type: recall_at_1000
      value: 63.995000000000005
    - type: recall_at_3
      value: 13.453000000000001
    - type: recall_at_5
      value: 16.124
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackUnixRetrieval
      type: None
      config: default
      split: test
      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
    metrics:
    - type: map_at_1
      value: 15.189
    - type: map_at_10
      value: 19.126
    - type: map_at_100
      value: 19.979
    - type: map_at_1000
      value: 20.1
    - type: map_at_3
      value: 17.517
    - type: map_at_5
      value: 18.305
    - type: mrr_at_1
      value: 17.724
    - type: mrr_at_10
      value: 22.094
    - type: mrr_at_100
      value: 22.893
    - type: mrr_at_1000
      value: 22.992
    - type: mrr_at_3
      value: 20.445
    - type: mrr_at_5
      value: 21.266
    - type: ndcg_at_1
      value: 17.724
    - type: ndcg_at_10
      value: 22.29
    - type: ndcg_at_100
      value: 26.739
    - type: ndcg_at_1000
      value: 30.196
    - type: ndcg_at_3
      value: 19.073999999999998
    - type: ndcg_at_5
      value: 20.341
    - type: precision_at_1
      value: 17.724
    - type: precision_at_10
      value: 3.675
    - type: precision_at_100
      value: 0.66
    - type: precision_at_1000
      value: 0.106
    - type: precision_at_3
      value: 8.333
    - type: precision_at_5
      value: 5.858
    - type: recall_at_1
      value: 15.189
    - type: recall_at_10
      value: 29.352
    - type: recall_at_100
      value: 49.612
    - type: recall_at_1000
      value: 75.41799999999999
    - type: recall_at_3
      value: 20.29
    - type: recall_at_5
      value: 23.529
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWebmastersRetrieval
      type: None
      config: default
      split: test
      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
    metrics:
    - type: map_at_1
      value: 16.664
    - type: map_at_10
      value: 22.093
    - type: map_at_100
      value: 23.288
    - type: map_at_1000
      value: 23.515
    - type: map_at_3
      value: 20.44
    - type: map_at_5
      value: 21.322
    - type: mrr_at_1
      value: 20.355999999999998
    - type: mrr_at_10
      value: 25.775
    - type: mrr_at_100
      value: 26.779999999999998
    - type: mrr_at_1000
      value: 26.874
    - type: mrr_at_3
      value: 24.407
    - type: mrr_at_5
      value: 25.079
    - type: ndcg_at_1
      value: 20.355999999999998
    - type: ndcg_at_10
      value: 26.054
    - type: ndcg_at_100
      value: 31.191000000000003
    - type: ndcg_at_1000
      value: 34.936
    - type: ndcg_at_3
      value: 23.758000000000003
    - type: ndcg_at_5
      value: 24.626
    - type: precision_at_1
      value: 20.355999999999998
    - type: precision_at_10
      value: 5.0
    - type: precision_at_100
      value: 1.1780000000000002
    - type: precision_at_1000
      value: 0.209
    - type: precision_at_3
      value: 11.331
    - type: precision_at_5
      value: 7.904999999999999
    - type: recall_at_1
      value: 16.664
    - type: recall_at_10
      value: 32.652
    - type: recall_at_100
      value: 57.050999999999995
    - type: recall_at_1000
      value: 82.563
    - type: recall_at_3
      value: 24.613
    - type: recall_at_5
      value: 27.685
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWordpressRetrieval
      type: None
      config: default
      split: test
      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
    metrics:
    - type: map_at_1
      value: 11.596
    - type: map_at_10
      value: 15.692
    - type: map_at_100
      value: 16.492
    - type: map_at_1000
      value: 16.607
    - type: map_at_3
      value: 14.415
    - type: map_at_5
      value: 14.951999999999998
    - type: mrr_at_1
      value: 12.939
    - type: mrr_at_10
      value: 17.175
    - type: mrr_at_100
      value: 17.982
    - type: mrr_at_1000
      value: 18.084
    - type: mrr_at_3
      value: 15.742
    - type: mrr_at_5
      value: 16.389
    - type: ndcg_at_1
      value: 12.939
    - type: ndcg_at_10
      value: 18.41
    - type: ndcg_at_100
      value: 22.807
    - type: ndcg_at_1000
      value: 26.233
    - type: ndcg_at_3
      value: 15.673
    - type: ndcg_at_5
      value: 16.64
    - type: precision_at_1
      value: 12.939
    - type: precision_at_10
      value: 2.921
    - type: precision_at_100
      value: 0.551
    - type: precision_at_1000
      value: 0.092
    - type: precision_at_3
      value: 6.654
    - type: precision_at_5
      value: 4.621
    - type: recall_at_1
      value: 11.596
    - type: recall_at_10
      value: 25.533
    - type: recall_at_100
      value: 46.635
    - type: recall_at_1000
      value: 73.044
    - type: recall_at_3
      value: 17.973
    - type: recall_at_5
      value: 20.314
  - task:
      type: Retrieval
    dataset:
      name: MTEB ClimateFEVER
      type: None
      config: default
      split: test
      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
    metrics:
    - type: map_at_1
      value: 6.6530000000000005
    - type: map_at_10
      value: 11.486
    - type: map_at_100
      value: 12.947000000000001
    - type: map_at_1000
      value: 13.153
    - type: map_at_3
      value: 9.381
    - type: map_at_5
      value: 10.39
    - type: mrr_at_1
      value: 15.179
    - type: mrr_at_10
      value: 23.862
    - type: mrr_at_100
      value: 25.05
    - type: mrr_at_1000
      value: 25.115
    - type: mrr_at_3
      value: 20.749000000000002
    - type: mrr_at_5
      value: 22.384
    - type: ndcg_at_1
      value: 15.179
    - type: ndcg_at_10
      value: 17.396
    - type: ndcg_at_100
      value: 24.044999999999998
    - type: ndcg_at_1000
      value: 28.227999999999998
    - type: ndcg_at_3
      value: 13.406
    - type: ndcg_at_5
      value: 14.71
    - type: precision_at_1
      value: 15.179
    - type: precision_at_10
      value: 5.739
    - type: precision_at_100
      value: 1.272
    - type: precision_at_1000
      value: 0.203
    - type: precision_at_3
      value: 10.054
    - type: precision_at_5
      value: 8.052
    - type: recall_at_1
      value: 6.6530000000000005
    - type: recall_at_10
      value: 22.187
    - type: recall_at_100
      value: 45.573
    - type: recall_at_1000
      value: 69.735
    - type: recall_at_3
      value: 12.461
    - type: recall_at_5
      value: 15.995999999999999
  - task:
      type: Retrieval
    dataset:
      name: MTEB DBPedia
      type: None
      config: default
      split: test
      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
    metrics:
    - type: map_at_1
      value: 4.952999999999999
    - type: map_at_10
      value: 10.34
    - type: map_at_100
      value: 14.613000000000001
    - type: map_at_1000
      value: 15.58
    - type: map_at_3
      value: 7.297
    - type: map_at_5
      value: 8.633000000000001
    - type: mrr_at_1
      value: 43.25
    - type: mrr_at_10
      value: 51.891
    - type: mrr_at_100
      value: 52.637
    - type: mrr_at_1000
      value: 52.676
    - type: mrr_at_3
      value: 49.5
    - type: mrr_at_5
      value: 50.875
    - type: ndcg_at_1
      value: 31.624999999999996
    - type: ndcg_at_10
      value: 24.095
    - type: ndcg_at_100
      value: 27.895999999999997
    - type: ndcg_at_1000
      value: 34.807
    - type: ndcg_at_3
      value: 26.787
    - type: ndcg_at_5
      value: 25.389
    - type: precision_at_1
      value: 43.25
    - type: precision_at_10
      value: 20.974999999999998
    - type: precision_at_100
      value: 6.657
    - type: precision_at_1000
      value: 1.361
    - type: precision_at_3
      value: 31.583
    - type: precision_at_5
      value: 27.150000000000002
    - type: recall_at_1
      value: 4.952999999999999
    - type: recall_at_10
      value: 14.727
    - type: recall_at_100
      value: 34.799
    - type: recall_at_1000
      value: 58.731
    - type: recall_at_3
      value: 8.368
    - type: recall_at_5
      value: 10.827
  - task:
      type: Classification
    dataset:
      name: MTEB EmotionClassification
      type: None
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 45.705000000000005
    - type: f1
      value: 43.37371323235086
  - task:
      type: Retrieval
    dataset:
      name: MTEB FEVER
      type: None
      config: default
      split: test
      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
    metrics:
    - type: map_at_1
      value: 17.101
    - type: map_at_10
      value: 25.537
    - type: map_at_100
      value: 26.494
    - type: map_at_1000
      value: 26.565
    - type: map_at_3
      value: 22.914
    - type: map_at_5
      value: 24.458
    - type: mrr_at_1
      value: 18.151999999999997
    - type: mrr_at_10
      value: 26.982
    - type: mrr_at_100
      value: 27.927999999999997
    - type: mrr_at_1000
      value: 27.99
    - type: mrr_at_3
      value: 24.235
    - type: mrr_at_5
      value: 25.845000000000002
    - type: ndcg_at_1
      value: 18.151999999999997
    - type: ndcg_at_10
      value: 30.534
    - type: ndcg_at_100
      value: 35.429
    - type: ndcg_at_1000
      value: 37.425999999999995
    - type: ndcg_at_3
      value: 25.144
    - type: ndcg_at_5
      value: 27.911
    - type: precision_at_1
      value: 18.151999999999997
    - type: precision_at_10
      value: 4.854
    - type: precision_at_100
      value: 0.753
    - type: precision_at_1000
      value: 0.094
    - type: precision_at_3
      value: 10.796
    - type: precision_at_5
      value: 7.918
    - type: recall_at_1
      value: 17.101
    - type: recall_at_10
      value: 44.814
    - type: recall_at_100
      value: 67.656
    - type: recall_at_1000
      value: 83.206
    - type: recall_at_3
      value: 30.233999999999998
    - type: recall_at_5
      value: 36.881
  - task:
      type: Retrieval
    dataset:
      name: MTEB FiQA2018
      type: None
      config: default
      split: test
      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
    metrics:
    - type: map_at_1
      value: 7.858
    - type: map_at_10
      value: 12.706000000000001
    - type: map_at_100
      value: 13.885
    - type: map_at_1000
      value: 14.097000000000001
    - type: map_at_3
      value: 10.728
    - type: map_at_5
      value: 11.701
    - type: mrr_at_1
      value: 14.815000000000001
    - type: mrr_at_10
      value: 21.032999999999998
    - type: mrr_at_100
      value: 22.12
    - type: mrr_at_1000
      value: 22.217000000000002
    - type: mrr_at_3
      value: 18.93
    - type: mrr_at_5
      value: 20.095
    - type: ndcg_at_1
      value: 14.815000000000001
    - type: ndcg_at_10
      value: 17.298
    - type: ndcg_at_100
      value: 22.906000000000002
    - type: ndcg_at_1000
      value: 27.724
    - type: ndcg_at_3
      value: 14.498
    - type: ndcg_at_5
      value: 15.445
    - type: precision_at_1
      value: 14.815000000000001
    - type: precision_at_10
      value: 4.954
    - type: precision_at_100
      value: 1.059
    - type: precision_at_1000
      value: 0.191
    - type: precision_at_3
      value: 9.568
    - type: precision_at_5
      value: 7.315
    - type: recall_at_1
      value: 7.858
    - type: recall_at_10
      value: 22.439999999999998
    - type: recall_at_100
      value: 43.967
    - type: recall_at_1000
      value: 73.81400000000001
    - type: recall_at_3
      value: 13.600999999999999
    - type: recall_at_5
      value: 17.000999999999998
  - task:
      type: Retrieval
    dataset:
      name: MTEB HotpotQA
      type: None
      config: default
      split: test
      revision: ab518f4d6fcca38d87c25209f94beba119d02014
    metrics:
    - type: map_at_1
      value: 17.772
    - type: map_at_10
      value: 25.396
    - type: map_at_100
      value: 26.334999999999997
    - type: map_at_1000
      value: 26.444000000000003
    - type: map_at_3
      value: 23.230999999999998
    - type: map_at_5
      value: 24.422
    - type: mrr_at_1
      value: 35.557
    - type: mrr_at_10
      value: 43.144
    - type: mrr_at_100
      value: 43.852000000000004
    - type: mrr_at_1000
      value: 43.908
    - type: mrr_at_3
      value: 41.188
    - type: mrr_at_5
      value: 42.286
    - type: ndcg_at_1
      value: 35.544
    - type: ndcg_at_10
      value: 32.529
    - type: ndcg_at_100
      value: 36.828
    - type: ndcg_at_1000
      value: 39.469
    - type: ndcg_at_3
      value: 28.516000000000002
    - type: ndcg_at_5
      value: 30.444
    - type: precision_at_1
      value: 35.544
    - type: precision_at_10
      value: 7.245
    - type: precision_at_100
      value: 1.0699999999999998
    - type: precision_at_1000
      value: 0.14200000000000002
    - type: precision_at_3
      value: 18.090999999999998
    - type: precision_at_5
      value: 12.386
    - type: recall_at_1
      value: 17.772
    - type: recall_at_10
      value: 36.226
    - type: recall_at_100
      value: 53.477
    - type: recall_at_1000
      value: 71.16799999999999
    - type: recall_at_3
      value: 27.137
    - type: recall_at_5
      value: 30.965999999999998
  - task:
      type: Classification
    dataset:
      name: MTEB ImdbClassification
      type: None
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 57.8072
    - type: ap
      value: 54.65260672014631
    - type: f1
      value: 57.55916444661744
  - task:
      type: Retrieval
    dataset:
      name: MTEB MSMARCO
      type: None
      config: default
      split: dev
      revision: c5a29a104738b98a9e76336939199e264163d4a0
    metrics:
    - type: map_at_1
      value: 6.184
    - type: map_at_10
      value: 10.823
    - type: map_at_100
      value: 11.706999999999999
    - type: map_at_1000
      value: 11.82
    - type: map_at_3
      value: 9.135
    - type: map_at_5
      value: 9.966999999999999
    - type: mrr_at_1
      value: 6.375
    - type: mrr_at_10
      value: 11.097999999999999
    - type: mrr_at_100
      value: 11.988
    - type: mrr_at_1000
      value: 12.096
    - type: mrr_at_3
      value: 9.389
    - type: mrr_at_5
      value: 10.233
    - type: ndcg_at_1
      value: 6.3469999999999995
    - type: ndcg_at_10
      value: 13.783000000000001
    - type: ndcg_at_100
      value: 18.663
    - type: ndcg_at_1000
      value: 22.023
    - type: ndcg_at_3
      value: 10.203
    - type: ndcg_at_5
      value: 11.702
    - type: precision_at_1
      value: 6.3469999999999995
    - type: precision_at_10
      value: 2.385
    - type: precision_at_100
      value: 0.49300000000000005
    - type: precision_at_1000
      value: 0.078
    - type: precision_at_3
      value: 4.494
    - type: precision_at_5
      value: 3.444
    - type: recall_at_1
      value: 6.184
    - type: recall_at_10
      value: 23.066
    - type: recall_at_100
      value: 46.913
    - type: recall_at_1000
      value: 73.86
    - type: recall_at_3
      value: 13.056000000000001
    - type: recall_at_5
      value: 16.669
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: None
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 88.0232558139535
    - type: f1
      value: 86.74056019732089
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (en)
      type: None
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 59.211126310989506
    - type: f1
      value: 41.03273201117899
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: None
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 59.74108944182919
    - type: f1
      value: 58.724358387708996
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (en)
      type: None
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 66.72158708809684
    - type: f1
      value: 65.57208754274619
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringP2P
      type: None
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 29.68738931117646
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringS2S
      type: None
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 25.714742907049377
  - task:
      type: Reranking
    dataset:
      name: MTEB MindSmallReranking
      type: None
      config: default
      split: test
      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
    metrics:
    - type: map
      value: 30.167644349465323
    - type: mrr
      value: 31.16669284646955
  - task:
      type: Retrieval
    dataset:
      name: MTEB NFCorpus
      type: None
      config: default
      split: test
      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
    metrics:
    - type: map_at_1
      value: 4.276
    - type: map_at_10
      value: 9.362
    - type: map_at_100
      value: 12.325999999999999
    - type: map_at_1000
      value: 13.858
    - type: map_at_3
      value: 6.654
    - type: map_at_5
      value: 7.925
    - type: mrr_at_1
      value: 33.745999999999995
    - type: mrr_at_10
      value: 44.641999999999996
    - type: mrr_at_100
      value: 45.377
    - type: mrr_at_1000
      value: 45.429
    - type: mrr_at_3
      value: 41.949999999999996
    - type: mrr_at_5
      value: 43.514
    - type: ndcg_at_1
      value: 32.353
    - type: ndcg_at_10
      value: 27.622999999999998
    - type: ndcg_at_100
      value: 27.174
    - type: ndcg_at_1000
      value: 36.562
    - type: ndcg_at_3
      value: 30.319000000000003
    - type: ndcg_at_5
      value: 29.654999999999998
    - type: precision_at_1
      value: 33.745999999999995
    - type: precision_at_10
      value: 20.867
    - type: precision_at_100
      value: 7.641000000000001
    - type: precision_at_1000
      value: 2.117
    - type: precision_at_3
      value: 28.688999999999997
    - type: precision_at_5
      value: 26.316
    - type: recall_at_1
      value: 4.276
    - type: recall_at_10
      value: 14.238000000000001
    - type: recall_at_100
      value: 30.125999999999998
    - type: recall_at_1000
      value: 63.27700000000001
    - type: recall_at_3
      value: 7.641000000000001
    - type: recall_at_5
      value: 10.399
  - task:
      type: Retrieval
    dataset:
      name: MTEB NQ
      type: None
      config: default
      split: test
      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
    metrics:
    - type: map_at_1
      value: 8.143
    - type: map_at_10
      value: 14.514
    - type: map_at_100
      value: 15.767999999999999
    - type: map_at_1000
      value: 15.882
    - type: map_at_3
      value: 11.997
    - type: map_at_5
      value: 13.292000000000002
    - type: mrr_at_1
      value: 9.328
    - type: mrr_at_10
      value: 16.117
    - type: mrr_at_100
      value: 17.265
    - type: mrr_at_1000
      value: 17.36
    - type: mrr_at_3
      value: 13.547999999999998
    - type: mrr_at_5
      value: 14.863999999999999
    - type: ndcg_at_1
      value: 9.328
    - type: ndcg_at_10
      value: 18.889
    - type: ndcg_at_100
      value: 25.212
    - type: ndcg_at_1000
      value: 28.314
    - type: ndcg_at_3
      value: 13.654
    - type: ndcg_at_5
      value: 15.956000000000001
    - type: precision_at_1
      value: 9.328
    - type: precision_at_10
      value: 3.659
    - type: precision_at_100
      value: 0.722
    - type: precision_at_1000
      value: 0.10200000000000001
    - type: precision_at_3
      value: 6.557
    - type: precision_at_5
      value: 5.220000000000001
    - type: recall_at_1
      value: 8.143
    - type: recall_at_10
      value: 31.008999999999997
    - type: recall_at_100
      value: 60.30799999999999
    - type: recall_at_1000
      value: 84.164
    - type: recall_at_3
      value: 16.927
    - type: recall_at_5
      value: 22.308
  - task:
      type: Retrieval
    dataset:
      name: MTEB QuoraRetrieval
      type: None
      config: default
      split: test
      revision: None
    metrics:
    - type: map_at_1
      value: 64.74
    - type: map_at_10
      value: 77.579
    - type: map_at_100
      value: 78.31099999999999
    - type: map_at_1000
      value: 78.34100000000001
    - type: map_at_3
      value: 74.628
    - type: map_at_5
      value: 76.43100000000001
    - type: mrr_at_1
      value: 74.42999999999999
    - type: mrr_at_10
      value: 81.718
    - type: mrr_at_100
      value: 81.93
    - type: mrr_at_1000
      value: 81.934
    - type: mrr_at_3
      value: 80.343
    - type: mrr_at_5
      value: 81.24900000000001
    - type: ndcg_at_1
      value: 74.52
    - type: ndcg_at_10
      value: 82.166
    - type: ndcg_at_100
      value: 84.09400000000001
    - type: ndcg_at_1000
      value: 84.405
    - type: ndcg_at_3
      value: 78.658
    - type: ndcg_at_5
      value: 80.511
    - type: precision_at_1
      value: 74.52
    - type: precision_at_10
      value: 12.4
    - type: precision_at_100
      value: 1.465
    - type: precision_at_1000
      value: 0.155
    - type: precision_at_3
      value: 34.097
    - type: precision_at_5
      value: 22.524
    - type: recall_at_1
      value: 64.74
    - type: recall_at_10
      value: 90.934
    - type: recall_at_100
      value: 98.06700000000001
    - type: recall_at_1000
      value: 99.735
    - type: recall_at_3
      value: 80.93
    - type: recall_at_5
      value: 86.098
    - type: map_at_1
      value: 3.068
    - type: map_at_10
      value: 7.453
    - type: map_at_100
      value: 8.94
    - type: map_at_1000
      value: 9.205
    - type: map_at_3
      value: 5.441
    - type: map_at_5
      value: 6.563
    - type: mrr_at_1
      value: 15.1
    - type: mrr_at_10
      value: 23.683
    - type: mrr_at_100
      value: 24.844
    - type: mrr_at_1000
      value: 24.925
    - type: mrr_at_3
      value: 20.583000000000002
    - type: mrr_at_5
      value: 22.393
    - type: ndcg_at_1
      value: 15.1
    - type: ndcg_at_10
      value: 13.252
    - type: ndcg_at_100
      value: 19.874
    - type: ndcg_at_1000
      value: 25.102000000000004
    - type: ndcg_at_3
      value: 12.46
    - type: ndcg_at_5
      value: 11.129999999999999
    - type: precision_at_1
      value: 15.1
    - type: precision_at_10
      value: 6.92
    - type: precision_at_100
      value: 1.6549999999999998
    - type: precision_at_1000
      value: 0.292
    - type: precision_at_3
      value: 11.733
    - type: precision_at_5
      value: 9.959999999999999
    - type: recall_at_1
      value: 3.068
    - type: recall_at_10
      value: 14.002999999999998
    - type: recall_at_100
      value: 33.665
    - type: recall_at_1000
      value: 59.263
    - type: recall_at_3
      value: 7.138
    - type: recall_at_5
      value: 10.093
    - type: map_at_1
      value: 0.13899999999999998
    - type: map_at_10
      value: 0.895
    - type: map_at_100
      value: 5.049
    - type: map_at_1000
      value: 13.750000000000002
    - type: map_at_3
      value: 0.391
    - type: map_at_5
      value: 0.5700000000000001
    - type: mrr_at_1
      value: 56.00000000000001
    - type: mrr_at_10
      value: 68.291
    - type: mrr_at_100
      value: 68.599
    - type: mrr_at_1000
      value: 68.599
    - type: mrr_at_3
      value: 66.0
    - type: mrr_at_5
      value: 67.0
    - type: ndcg_at_1
      value: 52.0
    - type: ndcg_at_10
      value: 44.293
    - type: ndcg_at_100
      value: 35.138000000000005
    - type: ndcg_at_1000
      value: 33.944
    - type: ndcg_at_3
      value: 51.653999999999996
    - type: ndcg_at_5
      value: 47.823
    - type: precision_at_1
      value: 56.00000000000001
    - type: precision_at_10
      value: 46.2
    - type: precision_at_100
      value: 37.34
    - type: precision_at_1000
      value: 16.75
    - type: precision_at_3
      value: 56.00000000000001
    - type: precision_at_5
      value: 50.8
    - type: recall_at_1
      value: 0.13899999999999998
    - type: recall_at_10
      value: 1.1119999999999999
    - type: recall_at_100
      value: 8.079
    - type: recall_at_1000
      value: 33.425
    - type: recall_at_3
      value: 0.44200000000000006
    - type: recall_at_5
      value: 0.649
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClustering
      type: None
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 40.606185591359946
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P
      type: None
      config: default
      split: test
      revision: 282350215ef01743dc01b456c7f5241fa8937f16
    metrics:
    - type: v_measure
      value: 46.78653785319337
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R
      type: None
      config: default
      split: test
      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
    metrics:
    - type: cos_sim_pearson
      value: 73.84217977825315
    - type: cos_sim_spearman
      value: 64.73853534406881
    - type: euclidean_pearson
      value: 68.56237657521805
    - type: euclidean_spearman
      value: 64.7386204334089
    - type: manhattan_pearson
      value: 64.28173029328066
    - type: manhattan_spearman
      value: 61.6425882368892
  - task:
      type: STS
    dataset:
      name: MTEB STS12
      type: None
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 74.3897399159046
    - type: cos_sim_spearman
      value: 66.41796288932143
    - type: euclidean_pearson
      value: 69.58937069001486
    - type: euclidean_spearman
      value: 66.41921175710908
    - type: manhattan_pearson
      value: 69.44690548894025
    - type: manhattan_spearman
      value: 67.20608551711165
  - task:
      type: STS
    dataset:
      name: MTEB STS13
      type: None
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 73.40420367729462
    - type: cos_sim_spearman
      value: 74.7406656921495
    - type: euclidean_pearson
      value: 74.49821960433705
    - type: euclidean_spearman
      value: 74.74070353074646
    - type: manhattan_pearson
      value: 74.45633450233547
    - type: manhattan_spearman
      value: 74.80630310816566
  - task:
      type: STS
    dataset:
      name: MTEB STS14
      type: None
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 76.08230956796241
    - type: cos_sim_spearman
      value: 73.11142836361485
    - type: euclidean_pearson
      value: 74.74137597934427
    - type: euclidean_spearman
      value: 73.11141867429899
    - type: manhattan_pearson
      value: 72.09161587291223
    - type: manhattan_spearman
      value: 71.33824267920687
  - task:
      type: STS
    dataset:
      name: MTEB STS15
      type: None
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 81.34074228940773
    - type: cos_sim_spearman
      value: 81.663564948902
    - type: euclidean_pearson
      value: 81.32795523487
    - type: euclidean_spearman
      value: 81.66356344266268
    - type: manhattan_pearson
      value: 79.66668460451962
    - type: manhattan_spearman
      value: 80.26498678904738
  - task:
      type: STS
    dataset:
      name: MTEB STS16
      type: None
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 75.34853107761967
    - type: cos_sim_spearman
      value: 76.11406943584268
    - type: euclidean_pearson
      value: 75.42777338536479
    - type: euclidean_spearman
      value: 76.11461979448184
    - type: manhattan_pearson
      value: 75.28480036291658
    - type: manhattan_spearman
      value: 75.86903836076087
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: None
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 84.19635034536458
    - type: cos_sim_spearman
      value: 84.41028007330507
    - type: euclidean_pearson
      value: 84.12079765145907
    - type: euclidean_spearman
      value: 84.41115400407284
    - type: manhattan_pearson
      value: 80.64550570011859
    - type: manhattan_spearman
      value: 81.03196171442178
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: None
      config: en
      split: test
      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
    metrics:
    - type: cos_sim_pearson
      value: 65.30408649378363
    - type: cos_sim_spearman
      value: 62.17641437243313
    - type: euclidean_pearson
      value: 63.90016485852732
    - type: euclidean_spearman
      value: 62.17641437243313
    - type: manhattan_pearson
      value: 62.956633811074624
    - type: manhattan_spearman
      value: 61.68947912384155
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark
      type: None
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 78.26287903139352
    - type: cos_sim_spearman
      value: 76.2712211096111
    - type: euclidean_pearson
      value: 77.37452738777681
    - type: euclidean_spearman
      value: 76.271269672779
    - type: manhattan_pearson
      value: 74.27135753612207
    - type: manhattan_spearman
      value: 73.50100666714098
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: None
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 72.27982263806383
    - type: mrr
      value: 91.41216173078918
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact
      type: None
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
    - type: map_at_1
      value: 41.583
    - type: map_at_10
      value: 48.624
    - type: map_at_100
      value: 49.763000000000005
    - type: map_at_1000
      value: 49.816
    - type: map_at_3
      value: 46.005
    - type: map_at_5
      value: 47.321000000000005
    - type: mrr_at_1
      value: 43.333
    - type: mrr_at_10
      value: 50.114000000000004
    - type: mrr_at_100
      value: 51.002
    - type: mrr_at_1000
      value: 51.05
    - type: mrr_at_3
      value: 47.833
    - type: mrr_at_5
      value: 48.949999999999996
    - type: ndcg_at_1
      value: 43.333
    - type: ndcg_at_10
      value: 52.974
    - type: ndcg_at_100
      value: 58.01
    - type: ndcg_at_1000
      value: 59.338
    - type: ndcg_at_3
      value: 47.774
    - type: ndcg_at_5
      value: 49.996
    - type: precision_at_1
      value: 43.333
    - type: precision_at_10
      value: 7.2330000000000005
    - type: precision_at_100
      value: 1.0
    - type: precision_at_1000
      value: 0.11100000000000002
    - type: precision_at_3
      value: 18.333
    - type: precision_at_5
      value: 12.267
    - type: recall_at_1
      value: 41.583
    - type: recall_at_10
      value: 65.122
    - type: recall_at_100
      value: 87.967
    - type: recall_at_1000
      value: 98.26700000000001
    - type: recall_at_3
      value: 50.971999999999994
    - type: recall_at_5
      value: 56.389
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: None
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.72376237623763
    - type: cos_sim_ap
      value: 91.59663360673323
    - type: cos_sim_f1
      value: 85.67026194144839
    - type: cos_sim_precision
      value: 88.0675818373812
    - type: cos_sim_recall
      value: 83.39999999999999
    - type: dot_accuracy
      value: 99.72376237623763
    - type: dot_ap
      value: 91.59663360673323
    - type: dot_f1
      value: 85.67026194144839
    - type: dot_precision
      value: 88.0675818373812
    - type: dot_recall
      value: 83.39999999999999
    - type: euclidean_accuracy
      value: 99.72376237623763
    - type: euclidean_ap
      value: 91.59663360673323
    - type: euclidean_f1
      value: 85.67026194144839
    - type: euclidean_precision
      value: 88.0675818373812
    - type: euclidean_recall
      value: 83.39999999999999
    - type: manhattan_accuracy
      value: 99.74554455445545
    - type: manhattan_ap
      value: 92.09213506501266
    - type: manhattan_f1
      value: 86.61174047373842
    - type: manhattan_precision
      value: 89.27813163481953
    - type: manhattan_recall
      value: 84.1
    - type: max_accuracy
      value: 99.74554455445545
    - type: max_ap
      value: 92.09213506501266
    - type: max_f1
      value: 86.61174047373842
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: None
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 31.354678889296643
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: None
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
    - type: v_measure
      value: 29.716316122867532
  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions
      type: None
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 42.43564476567571
    - type: mrr
      value: 42.923855148119856
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval
      type: None
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 27.804558815491582
    - type: cos_sim_spearman
      value: 28.153603446071195
    - type: dot_pearson
      value: 27.804558803487396
    - type: dot_spearman
      value: 28.084758471607437
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020
      type: None
      config: default
      split: test
      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
    metrics:
    - type: map_at_1
      value: 1.072
    - type: map_at_10
      value: 7.202999999999999
    - type: map_at_100
      value: 13.5
    - type: map_at_1000
      value: 15.165999999999999
    - type: map_at_3
      value: 3.334
    - type: map_at_5
      value: 5.13
    - type: mrr_at_1
      value: 18.367
    - type: mrr_at_10
      value: 34.217999999999996
    - type: mrr_at_100
      value: 36.224000000000004
    - type: mrr_at_1000
      value: 36.224000000000004
    - type: mrr_at_3
      value: 31.293
    - type: mrr_at_5
      value: 33.537
    - type: ndcg_at_1
      value: 17.347
    - type: ndcg_at_10
      value: 20.206
    - type: ndcg_at_100
      value: 34.272999999999996
    - type: ndcg_at_1000
      value: 45.69
    - type: ndcg_at_3
      value: 22.096
    - type: ndcg_at_5
      value: 22.104
    - type: precision_at_1
      value: 18.367
    - type: precision_at_10
      value: 19.796
    - type: precision_at_100
      value: 8.265
    - type: precision_at_1000
      value: 1.559
    - type: precision_at_3
      value: 25.169999999999998
    - type: precision_at_5
      value: 24.898
    - type: recall_at_1
      value: 1.072
    - type: recall_at_10
      value: 12.928999999999998
    - type: recall_at_100
      value: 49.480000000000004
    - type: recall_at_1000
      value: 84.52199999999999
    - type: recall_at_3
      value: 4.951
    - type: recall_at_5
      value: 8.174
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: None
      config: default
      split: test
      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
    metrics:
    - type: accuracy
      value: 73.85300000000001
    - type: ap
      value: 15.150651122442243
    - type: f1
      value: 56.552356287746534
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification
      type: None
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 48.97566496887381
    - type: f1
      value: 49.20122209000376
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: None
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 34.11643960858017
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: None
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 82.33295583238957
    - type: cos_sim_ap
      value: 60.56683852828603
    - type: cos_sim_f1
      value: 58.434181279328236
    - type: cos_sim_precision
      value: 54.92107706592386
    - type: cos_sim_recall
      value: 62.42744063324538
    - type: dot_accuracy
      value: 82.33295583238957
    - type: dot_ap
      value: 60.56683852828603
    - type: dot_f1
      value: 58.434181279328236
    - type: dot_precision
      value: 54.92107706592386
    - type: dot_recall
      value: 62.42744063324538
    - type: euclidean_accuracy
      value: 82.33295583238957
    - type: euclidean_ap
      value: 60.56683852828603
    - type: euclidean_f1
      value: 58.434181279328236
    - type: euclidean_precision
      value: 54.92107706592386
    - type: euclidean_recall
      value: 62.42744063324538
    - type: manhattan_accuracy
      value: 80.2884901949097
    - type: manhattan_ap
      value: 53.2492721439648
    - type: manhattan_f1
      value: 52.59130434782608
    - type: manhattan_precision
      value: 46.907962771458116
    - type: manhattan_recall
      value: 59.84168865435356
    - type: max_accuracy
      value: 82.33295583238957
    - type: max_ap
      value: 60.56683852828603
    - type: max_f1
      value: 58.434181279328236
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus
      type: None
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 87.38696782706563
    - type: cos_sim_ap
      value: 82.68953841305951
    - type: cos_sim_f1
      value: 74.80410550711841
    - type: cos_sim_precision
      value: 71.62381120112715
    - type: cos_sim_recall
      value: 78.27995072374499
    - type: dot_accuracy
      value: 87.38696782706563
    - type: dot_ap
      value: 82.68953784824923
    - type: dot_f1
      value: 74.80410550711841
    - type: dot_precision
      value: 71.62381120112715
    - type: dot_recall
      value: 78.27995072374499
    - type: euclidean_accuracy
      value: 87.38696782706563
    - type: euclidean_ap
      value: 82.689538293703
    - type: euclidean_f1
      value: 74.80410550711841
    - type: euclidean_precision
      value: 71.62381120112715
    - type: euclidean_recall
      value: 78.27995072374499
    - type: manhattan_accuracy
      value: 86.9426010012807
    - type: manhattan_ap
      value: 81.53723308483808
    - type: manhattan_f1
      value: 73.57354146619623
    - type: manhattan_precision
      value: 68.48915135027536
    - type: manhattan_recall
      value: 79.47336002463813
    - type: max_accuracy
      value: 87.38696782706563
    - type: max_ap
      value: 82.68953841305951
    - type: max_f1
      value: 74.80410550711841
---
