safetensors mteb model-index region:us
---
tags:
- mteb
model-index:
- name: SE_v1
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 78.83582089552237
    - type: ap
      value: 43.10721536172567
    - type: f1
      value: 73.02587501904198
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 92.756325
    - type: ap
      value: 89.5445783321967
    - type: f1
      value: 92.7501917603289
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 47.431999999999995
    - type: f1
      value: 46.49254790014476
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna
      type: mteb/arguana
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
    metrics:
    - type: map_at_1
      value: 35.135
    - type: map_at_10
      value: 52.298
    - type: map_at_100
      value: 52.298
    - type: map_at_1000
      value: 52.298
    - type: map_at_20
      value: 52.298
    - type: map_at_3
      value: 47.522999999999996
    - type: map_at_5
      value: 50.378
    - type: mrr_at_1
      value: 36.059999999999995
    - type: mrr_at_10
      value: 52.662
    - type: mrr_at_100
      value: 52.662
    - type: mrr_at_1000
      value: 52.662
    - type: mrr_at_20
      value: 52.662
    - type: mrr_at_3
      value: 47.783
    - type: mrr_at_5
      value: 50.753
    - type: ndcg_at_1
      value: 35.135
    - type: ndcg_at_10
      value: 61.419999999999995
    - type: ndcg_at_100
      value: 61.419999999999995
    - type: ndcg_at_1000
      value: 61.419999999999995
    - type: ndcg_at_20
      value: 61.419999999999995
    - type: ndcg_at_3
      value: 51.608
    - type: ndcg_at_5
      value: 56.759
    - type: precision_at_1
      value: 35.135
    - type: precision_at_10
      value: 9.04
    - type: precision_at_100
      value: 0.9039999999999999
    - type: precision_at_1000
      value: 0.09
    - type: precision_at_20
      value: 4.52
    - type: precision_at_3
      value: 21.147
    - type: precision_at_5
      value: 15.192
    - type: recall_at_1
      value: 35.135
    - type: recall_at_10
      value: 90.398
    - type: recall_at_100
      value: 90.398
    - type: recall_at_1000
      value: 90.398
    - type: recall_at_20
      value: 90.398
    - type: recall_at_3
      value: 63.442
    - type: recall_at_5
      value: 75.96000000000001
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 48.12363356263455
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  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: v_measure
      value: 45.504015770335826
    - type: v_measures
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  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: map
      value: 66.58809524589093
    - type: mrr
      value: 79.3222090313503
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 86.401710093136
    - type: cos_sim_spearman
      value: 85.91701791850129
    - type: euclidean_pearson
      value: 83.66475885640826
    - type: euclidean_spearman
      value: 84.01095039107408
    - type: manhattan_pearson
      value: 83.71400775916655
    - type: manhattan_spearman
      value: 84.27963121194402
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 88.96103896103895
    - type: f1
      value: 88.91409928169791
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
    metrics:
    - type: v_measure
      value: 38.45196381563332
    - type: v_measures
      value:
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  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S
      type: mteb/biorxiv-clustering-s2s
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
    metrics:
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      value: 36.52850715706321
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      - 0.36956505994495087
      - 0.35201164441432914
      - 0.37621731580019396
      - 0.35719667938909777
      - 0.3724418903896613
      - 0.3679178896964583
      - 0.35763891275910115
      - 0.37333353708864264
      - 0.34729391059072645
      - 0.3792338756331596
      - 0.36956505994495087
      - 0.35201164441432914
      - 0.37621731580019396
      - 0.35719667938909777
      - 0.3724418903896613
      - 0.3679178896964583
      - 0.35763891275910115
      - 0.37333353708864264
      - 0.34729391059072645
      - 0.3792338756331596
      - 0.36956505994495087
      - 0.35201164441432914
      - 0.37621731580019396
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: mteb/cqadupstack-android
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
    metrics:
    - type: map_at_1
      value: 40.073
    - type: map_at_10
      value: 54.022999999999996
    - type: map_at_100
      value: 54.022999999999996
    - type: map_at_1000
      value: 54.022999999999996
    - type: map_at_20
      value: 54.022999999999996
    - type: map_at_3
      value: 49.285000000000004
    - type: map_at_5
      value: 52.05
    - type: mrr_at_1
      value: 51.215999999999994
    - type: mrr_at_10
      value: 60.866
    - type: mrr_at_100
      value: 60.866
    - type: mrr_at_1000
      value: 60.866
    - type: mrr_at_20
      value: 60.866
    - type: mrr_at_3
      value: 58.274
    - type: mrr_at_5
      value: 59.754
    - type: ndcg_at_1
      value: 51.215999999999994
    - type: ndcg_at_10
      value: 61.312
    - type: ndcg_at_100
      value: 60.866
    - type: ndcg_at_1000
      value: 60.85
    - type: ndcg_at_20
      value: 60.980999999999995
    - type: ndcg_at_3
      value: 55.544000000000004
    - type: ndcg_at_5
      value: 58.299
    - type: precision_at_1
      value: 51.215999999999994
    - type: precision_at_10
      value: 12.117
    - type: precision_at_100
      value: 1.212
    - type: precision_at_1000
      value: 0.121
    - type: precision_at_20
      value: 6.059
    - type: precision_at_3
      value: 27.182000000000002
    - type: precision_at_5
      value: 19.857
    - type: recall_at_1
      value: 40.073
    - type: recall_at_10
      value: 74.51
    - type: recall_at_100
      value: 74.51
    - type: recall_at_1000
      value: 74.51
    - type: recall_at_20
      value: 74.51
    - type: recall_at_3
      value: 56.804
    - type: recall_at_5
      value: 64.863
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackEnglishRetrieval
      type: mteb/cqadupstack-english
      config: default
      split: test
      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
    metrics:
    - type: map_at_1
      value: 36.658
    - type: map_at_10
      value: 48.632
    - type: map_at_100
      value: 48.632
    - type: map_at_1000
      value: 48.632
    - type: map_at_20
      value: 48.632
    - type: map_at_3
      value: 45.287
    - type: map_at_5
      value: 47.243
    - type: mrr_at_1
      value: 47.134
    - type: mrr_at_10
      value: 55.047000000000004
    - type: mrr_at_100
      value: 55.047000000000004
    - type: mrr_at_1000
      value: 55.047000000000004
    - type: mrr_at_20
      value: 55.047000000000004
    - type: mrr_at_3
      value: 53.163000000000004
    - type: mrr_at_5
      value: 54.294
    - type: ndcg_at_1
      value: 47.134
    - type: ndcg_at_10
      value: 54.440999999999995
    - type: ndcg_at_100
      value: 53.981
    - type: ndcg_at_1000
      value: 53.981
    - type: ndcg_at_20
      value: 54.111
    - type: ndcg_at_3
      value: 50.734
    - type: ndcg_at_5
      value: 52.48199999999999
    - type: precision_at_1
      value: 47.134
    - type: precision_at_10
      value: 10.439
    - type: precision_at_100
      value: 1.044
    - type: precision_at_1000
      value: 0.104
    - type: precision_at_20
      value: 5.220000000000001
    - type: precision_at_3
      value: 25.096
    - type: precision_at_5
      value: 17.554
    - type: recall_at_1
      value: 36.658
    - type: recall_at_10
      value: 63.641999999999996
    - type: recall_at_100
      value: 63.641999999999996
    - type: recall_at_1000
      value: 63.641999999999996
    - type: recall_at_20
      value: 63.641999999999996
    - type: recall_at_3
      value: 51.564
    - type: recall_at_5
      value: 57.277
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGamingRetrieval
      type: mteb/cqadupstack-gaming
      config: default
      split: test
      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
    metrics:
    - type: map_at_1
      value: 47.929
    - type: map_at_10
      value: 62.132
    - type: map_at_100
      value: 62.132
    - type: map_at_1000
      value: 62.132
    - type: map_at_20
      value: 62.132
    - type: map_at_3
      value: 58.278
    - type: map_at_5
      value: 60.589000000000006
    - type: mrr_at_1
      value: 55.11000000000001
    - type: mrr_at_10
      value: 65.417
    - type: mrr_at_100
      value: 65.417
    - type: mrr_at_1000
      value: 65.417
    - type: mrr_at_20
      value: 65.417
    - type: mrr_at_3
      value: 62.832
    - type: mrr_at_5
      value: 64.371
    - type: ndcg_at_1
      value: 55.11000000000001
    - type: ndcg_at_10
      value: 68.293
    - type: ndcg_at_100
      value: 68.197
    - type: ndcg_at_1000
      value: 68.197
    - type: ndcg_at_20
      value: 68.2
    - type: ndcg_at_3
      value: 62.28
    - type: ndcg_at_5
      value: 65.379
    - type: precision_at_1
      value: 55.11000000000001
    - type: precision_at_10
      value: 10.947
    - type: precision_at_100
      value: 1.095
    - type: precision_at_1000
      value: 0.109
    - type: precision_at_20
      value: 5.473
    - type: precision_at_3
      value: 27.816000000000003
    - type: precision_at_5
      value: 19.122
    - type: recall_at_1
      value: 47.929
    - type: recall_at_10
      value: 83.009
    - type: recall_at_100
      value: 83.009
    - type: recall_at_1000
      value: 83.009
    - type: recall_at_20
      value: 83.009
    - type: recall_at_3
      value: 66.97999999999999
    - type: recall_at_5
      value: 74.638
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGisRetrieval
      type: mteb/cqadupstack-gis
      config: default
      split: test
      revision: 5003b3064772da1887988e05400cf3806fe491f2
    metrics:
    - type: map_at_1
      value: 29.831999999999997
    - type: map_at_10
      value: 40.278000000000006
    - type: map_at_100
      value: 40.278000000000006
    - type: map_at_1000
      value: 40.278000000000006
    - type: map_at_20
      value: 40.278000000000006
    - type: map_at_3
      value: 37.271
    - type: map_at_5
      value: 38.93
    - type: mrr_at_1
      value: 32.316
    - type: mrr_at_10
      value: 42.368
    - type: mrr_at_100
      value: 42.368
    - type: mrr_at_1000
      value: 42.368
    - type: mrr_at_20
      value: 42.368
    - type: mrr_at_3
      value: 39.774
    - type: mrr_at_5
      value: 41.249
    - type: ndcg_at_1
      value: 32.316
    - type: ndcg_at_10
      value: 46.024
    - type: ndcg_at_100
      value: 46.024
    - type: ndcg_at_1000
      value: 46.024
    - type: ndcg_at_20
      value: 46.024
    - type: ndcg_at_3
      value: 40.324
    - type: ndcg_at_5
      value: 43.059999999999995
    - type: precision_at_1
      value: 32.316
    - type: precision_at_10
      value: 7.153
    - type: precision_at_100
      value: 0.715
    - type: precision_at_1000
      value: 0.07200000000000001
    - type: precision_at_20
      value: 3.576
    - type: precision_at_3
      value: 17.363
    - type: precision_at_5
      value: 12.068
    - type: recall_at_1
      value: 29.831999999999997
    - type: recall_at_10
      value: 61.550000000000004
    - type: recall_at_100
      value: 61.550000000000004
    - type: recall_at_1000
      value: 61.550000000000004
    - type: recall_at_20
      value: 61.550000000000004
    - type: recall_at_3
      value: 46.285
    - type: recall_at_5
      value: 52.851000000000006
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackMathematicaRetrieval
      type: mteb/cqadupstack-mathematica
      config: default
      split: test
      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
    metrics:
    - type: map_at_1
      value: 22.595000000000002
    - type: map_at_10
      value: 32.306000000000004
    - type: map_at_100
      value: 32.306000000000004
    - type: map_at_1000
      value: 32.306000000000004
    - type: map_at_20
      value: 32.306000000000004
    - type: map_at_3
      value: 28.931
    - type: map_at_5
      value: 30.675
    - type: mrr_at_1
      value: 28.731
    - type: mrr_at_10
      value: 37.663999999999994
    - type: mrr_at_100
      value: 37.663999999999994
    - type: mrr_at_1000
      value: 37.663999999999994
    - type: mrr_at_20
      value: 37.663999999999994
    - type: mrr_at_3
      value: 34.949999999999996
    - type: mrr_at_5
      value: 36.399
    - type: ndcg_at_1
      value: 28.731
    - type: ndcg_at_10
      value: 38.485
    - type: ndcg_at_100
      value: 38.48
    - type: ndcg_at_1000
      value: 38.48
    - type: ndcg_at_20
      value: 38.48
    - type: ndcg_at_3
      value: 32.762
    - type: ndcg_at_5
      value: 35.149
    - type: precision_at_1
      value: 28.731
    - type: precision_at_10
      value: 7.226000000000001
    - type: precision_at_100
      value: 0.7230000000000001
    - type: precision_at_1000
      value: 0.07200000000000001
    - type: precision_at_20
      value: 3.6130000000000004
    - type: precision_at_3
      value: 15.754999999999999
    - type: precision_at_5
      value: 11.468
    - type: recall_at_1
      value: 22.595000000000002
    - type: recall_at_10
      value: 52.081
    - type: recall_at_100
      value: 52.081
    - type: recall_at_1000
      value: 52.081
    - type: recall_at_20
      value: 52.081
    - type: recall_at_3
      value: 36.14
    - type: recall_at_5
      value: 42.254000000000005
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackPhysicsRetrieval
      type: mteb/cqadupstack-physics
      config: default
      split: test
      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
    metrics:
    - type: map_at_1
      value: 35.363
    - type: map_at_10
      value: 48.292
    - type: map_at_100
      value: 48.292
    - type: map_at_1000
      value: 48.292
    - type: map_at_20
      value: 48.292
    - type: map_at_3
      value: 44.230999999999995
    - type: map_at_5
      value: 46.455
    - type: mrr_at_1
      value: 44.273
    - type: mrr_at_10
      value: 53.923
    - type: mrr_at_100
      value: 53.923
    - type: mrr_at_1000
      value: 53.923
    - type: mrr_at_20
      value: 53.923
    - type: mrr_at_3
      value: 51.283
    - type: mrr_at_5
      value: 52.717000000000006
    - type: ndcg_at_1
      value: 44.273
    - type: ndcg_at_10
      value: 54.93900000000001
    - type: ndcg_at_100
      value: 54.832
    - type: ndcg_at_1000
      value: 54.832
    - type: ndcg_at_20
      value: 54.858
    - type: ndcg_at_3
      value: 49.184
    - type: ndcg_at_5
      value: 51.693999999999996
    - type: precision_at_1
      value: 44.273
    - type: precision_at_10
      value: 10.241
    - type: precision_at_100
      value: 1.024
    - type: precision_at_1000
      value: 0.10200000000000001
    - type: precision_at_20
      value: 5.12
    - type: precision_at_3
      value: 23.933
    - type: precision_at_5
      value: 16.805
    - type: recall_at_1
      value: 35.363
    - type: recall_at_10
      value: 68.891
    - type: recall_at_100
      value: 68.891
    - type: recall_at_1000
      value: 68.891
    - type: recall_at_20
      value: 68.891
    - type: recall_at_3
      value: 51.946999999999996
    - type: recall_at_5
      value: 58.996
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackProgrammersRetrieval
      type: mteb/cqadupstack-programmers
      config: default
      split: test
      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
    metrics:
    - type: map_at_1
      value: 31.527
    - type: map_at_10
      value: 45.208
    - type: map_at_100
      value: 45.208
    - type: map_at_1000
      value: 45.208
    - type: map_at_20
      value: 45.208
    - type: map_at_3
      value: 41.193999999999996
    - type: map_at_5
      value: 43.378
    - type: mrr_at_1
      value: 39.839999999999996
    - type: mrr_at_10
      value: 50.906
    - type: mrr_at_100
      value: 50.906
    - type: mrr_at_1000
      value: 50.906
    - type: mrr_at_20
      value: 50.906
    - type: mrr_at_3
      value: 48.211999999999996
    - type: mrr_at_5
      value: 49.730000000000004
    - type: ndcg_at_1
      value: 39.839999999999996
    - type: ndcg_at_10
      value: 52.209
    - type: ndcg_at_100
      value: 52.068999999999996
    - type: ndcg_at_1000
      value: 52.065
    - type: ndcg_at_20
      value: 52.11
    - type: ndcg_at_3
      value: 46.326
    - type: ndcg_at_5
      value: 48.906
    - type: precision_at_1
      value: 39.839999999999996
    - type: precision_at_10
      value: 9.954
    - type: precision_at_100
      value: 0.9950000000000001
    - type: precision_at_1000
      value: 0.1
    - type: precision_at_20
      value: 4.977
    - type: precision_at_3
      value: 22.945
    - type: precision_at_5
      value: 16.438
    - type: recall_at_1
      value: 31.527
    - type: recall_at_10
      value: 66.97
    - type: recall_at_100
      value: 66.97
    - type: recall_at_1000
      value: 66.97
    - type: recall_at_20
      value: 66.97
    - type: recall_at_3
      value: 49.989
    - type: recall_at_5
      value: 57.023999999999994
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackRetrieval
      type: mteb/cqadupstack
      config: default
      split: test
      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
    metrics:
    - type: map_at_1
      value: 32.47491666666667
    - type: map_at_10
      value: 43.86241666666667
    - type: map_at_100
      value: 43.86241666666667
    - type: map_at_1000
      value: 43.86241666666667
    - type: map_at_20
      value: 43.86241666666667
    - type: map_at_3
      value: 40.445166666666665
    - type: map_at_5
      value: 42.34416666666667
    - type: mrr_at_1
      value: 39.24941666666667
    - type: mrr_at_10
      value: 48.56083333333333
    - type: mrr_at_100
      value: 48.56083333333333
    - type: mrr_at_1000
      value: 48.56083333333333
    - type: mrr_at_20
      value: 48.56083333333333
    - type: mrr_at_3
      value: 46.09241666666667
    - type: mrr_at_5
      value: 47.48925
    - type: ndcg_at_1
      value: 39.24941666666667
    - type: ndcg_at_10
      value: 49.94208333333333
    - type: ndcg_at_100
      value: 49.754916666666674
    - type: ndcg_at_1000
      value: 49.751583333333336
    - type: ndcg_at_20
      value: 49.81033333333333
    - type: ndcg_at_3
      value: 44.72058333333334
    - type: ndcg_at_5
      value: 47.121249999999996
    - type: precision_at_1
      value: 39.24941666666667
    - type: precision_at_10
      value: 8.876166666666666
    - type: precision_at_100
      value: 0.8875833333333333
    - type: precision_at_1000
      value: 0.08875000000000001
    - type: precision_at_20
      value: 4.438083333333333
    - type: precision_at_3
      value: 20.939500000000002
    - type: precision_at_5
      value: 14.76966666666667
    - type: recall_at_1
      value: 32.47491666666667
    - type: recall_at_10
      value: 62.95991666666666
    - type: recall_at_100
      value: 62.95991666666666
    - type: recall_at_1000
      value: 62.95991666666666
    - type: recall_at_20
      value: 62.95991666666666
    - type: recall_at_3
      value: 48.01025
    - type: recall_at_5
      value: 54.43341666666666
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackStatsRetrieval
      type: mteb/cqadupstack-stats
      config: default
      split: test
      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
    metrics:
    - type: map_at_1
      value: 31.147999999999996
    - type: map_at_10
      value: 38.9
    - type: map_at_100
      value: 38.9
    - type: map_at_1000
      value: 38.9
    - type: map_at_20
      value: 38.9
    - type: map_at_3
      value: 36.614999999999995
    - type: map_at_5
      value: 37.836999999999996
    - type: mrr_at_1
      value: 35.123
    - type: mrr_at_10
      value: 42.111
    - type: mrr_at_100
      value: 42.111
    - type: mrr_at_1000
      value: 42.111
    - type: mrr_at_20
      value: 42.111
    - type: mrr_at_3
      value: 39.954
    - type: mrr_at_5
      value: 41.112
    - type: ndcg_at_1
      value: 35.123
    - type: ndcg_at_10
      value: 43.403000000000006
    - type: ndcg_at_100
      value: 43.374
    - type: ndcg_at_1000
      value: 43.374
    - type: ndcg_at_20
      value: 43.374
    - type: ndcg_at_3
      value: 39.206
    - type: ndcg_at_5
      value: 41.102
    - type: precision_at_1
      value: 35.123
    - type: precision_at_10
      value: 6.641
    - type: precision_at_100
      value: 0.664
    - type: precision_at_1000
      value: 0.066
    - type: precision_at_20
      value: 3.321
    - type: precision_at_3
      value: 16.616
    - type: precision_at_5
      value: 11.35
    - type: recall_at_1
      value: 31.147999999999996
    - type: recall_at_10
      value: 53.988
    - type: recall_at_100
      value: 53.988
    - type: recall_at_1000
      value: 53.988
    - type: recall_at_20
      value: 53.988
    - type: recall_at_3
      value: 42.223
    - type: recall_at_5
      value: 47.075
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackTexRetrieval
      type: mteb/cqadupstack-tex
      config: default
      split: test
      revision: 46989137a86843e03a6195de44b09deda022eec7
    metrics:
    - type: map_at_1
      value: 21.503
    - type: map_at_10
      value: 30.711
    - type: map_at_100
      value: 30.711
    - type: map_at_1000
      value: 30.711
    - type: map_at_20
      value: 30.711
    - type: map_at_3
      value: 27.876
    - type: map_at_5
      value: 29.448
    - type: mrr_at_1
      value: 26.944000000000003
    - type: mrr_at_10
      value: 35.400999999999996
    - type: mrr_at_100
      value: 35.400999999999996
    - type: mrr_at_1000
      value: 35.400999999999996
    - type: mrr_at_20
      value: 35.400999999999996
    - type: mrr_at_3
      value: 32.943
    - type: mrr_at_5
      value: 34.365
    - type: ndcg_at_1
      value: 26.944000000000003
    - type: ndcg_at_10
      value: 36.18
    - type: ndcg_at_100
      value: 36.053000000000004
    - type: ndcg_at_1000
      value: 36.051
    - type: ndcg_at_20
      value: 36.094
    - type: ndcg_at_3
      value: 31.5
    - type: ndcg_at_5
      value: 33.672999999999995
    - type: precision_at_1
      value: 26.944000000000003
    - type: precision_at_10
      value: 6.7
    - type: precision_at_100
      value: 0.67
    - type: precision_at_1000
      value: 0.067
    - type: precision_at_20
      value: 3.35
    - type: precision_at_3
      value: 15.221000000000002
    - type: precision_at_5
      value: 10.943
    - type: recall_at_1
      value: 21.503
    - type: recall_at_10
      value: 47.802
    - type: recall_at_100
      value: 47.802
    - type: recall_at_1000
      value: 47.802
    - type: recall_at_20
      value: 47.802
    - type: recall_at_3
      value: 34.316
    - type: recall_at_5
      value: 40.178999999999995
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackUnixRetrieval
      type: mteb/cqadupstack-unix
      config: default
      split: test
      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
    metrics:
    - type: map_at_1
      value: 34.516000000000005
    - type: map_at_10
      value: 45.867999999999995
    - type: map_at_100
      value: 45.867999999999995
    - type: map_at_1000
      value: 45.867999999999995
    - type: map_at_20
      value: 45.867999999999995
    - type: map_at_3
      value: 42.480000000000004
    - type: map_at_5
      value: 44.292
    - type: mrr_at_1
      value: 41.510999999999996
    - type: mrr_at_10
      value: 50.709
    - type: mrr_at_100
      value: 50.709
    - type: mrr_at_1000
      value: 50.709
    - type: mrr_at_20
      value: 50.709
    - type: mrr_at_3
      value: 48.087999999999994
    - type: mrr_at_5
      value: 49.585
    - type: ndcg_at_1
      value: 41.510999999999996
    - type: ndcg_at_10
      value: 52.010999999999996
    - type: ndcg_at_100
      value: 51.998999999999995
    - type: ndcg_at_1000
      value: 51.998999999999995
    - type: ndcg_at_20
      value: 51.998999999999995
    - type: ndcg_at_3
      value: 46.605000000000004
    - type: ndcg_at_5
      value: 48.968
    - type: precision_at_1
      value: 41.510999999999996
    - type: precision_at_10
      value: 8.862
    - type: precision_at_100
      value: 0.886
    - type: precision_at_1000
      value: 0.089
    - type: precision_at_20
      value: 4.431
    - type: precision_at_3
      value: 21.58
    - type: precision_at_5
      value: 14.943999999999999
    - type: recall_at_1
      value: 34.516000000000005
    - type: recall_at_10
      value: 65.874
    - type: recall_at_100
      value: 65.874
    - type: recall_at_1000
      value: 65.874
    - type: recall_at_20
      value: 65.874
    - type: recall_at_3
      value: 50.444
    - type: recall_at_5
      value: 56.87
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWebmastersRetrieval
      type: mteb/cqadupstack-webmasters
      config: default
      split: test
      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
    metrics:
    - type: map_at_1
      value: 32.486
    - type: map_at_10
      value: 44.13
    - type: map_at_100
      value: 44.13
    - type: map_at_1000
      value: 44.13
    - type: map_at_20
      value: 44.13
    - type: map_at_3
      value: 40.644999999999996
    - type: map_at_5
      value: 42.712
    - type: mrr_at_1
      value: 40.514
    - type: mrr_at_10
      value: 50.058
    - type: mrr_at_100
      value: 50.058
    - type: mrr_at_1000
      value: 50.058
    - type: mrr_at_20
      value: 50.058
    - type: mrr_at_3
      value: 47.53
    - type: mrr_at_5
      value: 49.2
    - type: ndcg_at_1
      value: 40.514
    - type: ndcg_at_10
      value: 50.722
    - type: ndcg_at_100
      value: 49.907000000000004
    - type: ndcg_at_1000
      value: 49.889
    - type: ndcg_at_20
      value: 50.212
    - type: ndcg_at_3
      value: 45.822
    - type: ndcg_at_5
      value: 48.468
    - type: precision_at_1
      value: 40.514
    - type: precision_at_10
      value: 9.783
    - type: precision_at_100
      value: 0.9780000000000001
    - type: precision_at_1000
      value: 0.098
    - type: precision_at_20
      value: 4.891
    - type: precision_at_3
      value: 21.871
    - type: precision_at_5
      value: 15.928999999999998
    - type: recall_at_1
      value: 32.486
    - type: recall_at_10
      value: 61.644
    - type: recall_at_100
      value: 61.644
    - type: recall_at_1000
      value: 61.644
    - type: recall_at_20
      value: 61.644
    - type: recall_at_3
      value: 47.502
    - type: recall_at_5
      value: 54.596999999999994
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWordpressRetrieval
      type: mteb/cqadupstack-wordpress
      config: default
      split: test
      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
    metrics:
    - type: map_at_1
      value: 26.069
    - type: map_at_10
      value: 35.869
    - type: map_at_100
      value: 35.869
    - type: map_at_1000
      value: 35.869
    - type: map_at_20
      value: 35.869
    - type: map_at_3
      value: 33.249
    - type: map_at_5
      value: 34.521
    - type: mrr_at_1
      value: 28.281
    - type: mrr_at_10
      value: 38.26
    - type: mrr_at_100
      value: 38.26
    - type: mrr_at_1000
      value: 38.26
    - type: mrr_at_20
      value: 38.26
    - type: mrr_at_3
      value: 36.106
    - type: mrr_at_5
      value: 37.095
    - type: ndcg_at_1
      value: 28.281
    - type: ndcg_at_10
      value: 41.286
    - type: ndcg_at_100
      value: 41.277
    - type: ndcg_at_1000
      value: 41.277
    - type: ndcg_at_20
      value: 41.281
    - type: ndcg_at_3
      value: 36.36
    - type: ndcg_at_5
      value: 38.275
    - type: precision_at_1
      value: 28.281
    - type: precision_at_10
      value: 6.451
    - type: precision_at_100
      value: 0.645
    - type: precision_at_1000
      value: 0.065
    - type: precision_at_20
      value: 3.2259999999999995
    - type: precision_at_3
      value: 15.895999999999999
    - type: precision_at_5
      value: 10.758
    - type: recall_at_1
      value: 26.069
    - type: recall_at_10
      value: 55.55799999999999
    - type: recall_at_100
      value: 55.55799999999999
    - type: recall_at_1000
      value: 55.55799999999999
    - type: recall_at_20
      value: 55.55799999999999
    - type: recall_at_3
      value: 41.929
    - type: recall_at_5
      value: 46.577
  - task:
      type: Retrieval
    dataset:
      name: MTEB ClimateFEVER
      type: mteb/climate-fever
      config: default
      split: test
      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
    metrics:
    - type: map_at_1
      value: 11.675
    - type: map_at_10
      value: 21.314
    - type: map_at_100
      value: 21.314
    - type: map_at_1000
      value: 21.314
    - type: map_at_20
      value: 21.314
    - type: map_at_3
      value: 17.689
    - type: map_at_5
      value: 19.534000000000002
    - type: mrr_at_1
      value: 27.101
    - type: mrr_at_10
      value: 40.339999999999996
    - type: mrr_at_100
      value: 40.339999999999996
    - type: mrr_at_1000
      value: 40.339999999999996
    - type: mrr_at_20
      value: 40.339999999999996
    - type: mrr_at_3
      value: 37.014
    - type: mrr_at_5
      value: 39.050000000000004
    - type: ndcg_at_1
      value: 27.101
    - type: ndcg_at_10
      value: 30.325000000000003
    - type: ndcg_at_100
      value: 30.325000000000003
    - type: ndcg_at_1000
      value: 30.325000000000003
    - type: ndcg_at_20
      value: 30.325000000000003
    - type: ndcg_at_3
      value: 24.823
    - type: ndcg_at_5
      value: 26.729999999999997
    - type: precision_at_1
      value: 27.101
    - type: precision_at_10
      value: 9.622
    - type: precision_at_100
      value: 0.962
    - type: precision_at_1000
      value: 0.096
    - type: precision_at_20
      value: 4.811
    - type: precision_at_3
      value: 18.958
    - type: precision_at_5
      value: 14.527999999999999
    - type: recall_at_1
      value: 11.675
    - type: recall_at_10
      value: 37.037
    - type: recall_at_100
      value: 37.037
    - type: recall_at_1000
      value: 37.037
    - type: recall_at_20
      value: 37.037
    - type: recall_at_3
      value: 23.22
    - type: recall_at_5
      value: 28.967
  - task:
      type: Retrieval
    dataset:
      name: MTEB DBPedia
      type: mteb/dbpedia
      config: default
      split: test
      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
    metrics:
    - type: map_at_1
      value: 9.715
    - type: map_at_10
      value: 23.903
    - type: map_at_100
      value: 23.903
    - type: map_at_1000
      value: 23.903
    - type: map_at_20
      value: 23.903
    - type: map_at_3
      value: 16.029
    - type: map_at_5
      value: 19.276
    - type: mrr_at_1
      value: 73.75
    - type: mrr_at_10
      value: 81.089
    - type: mrr_at_100
      value: 81.089
    - type: mrr_at_1000
      value: 81.089
    - type: mrr_at_20
      value: 81.089
    - type: mrr_at_3
      value: 79.75
    - type: mrr_at_5
      value: 80.55
    - type: ndcg_at_1
      value: 61.5
    - type: ndcg_at_10
      value: 49.027
    - type: ndcg_at_100
      value: 37.618
    - type: ndcg_at_1000
      value: 37.475
    - type: ndcg_at_20
      value: 41.513
    - type: ndcg_at_3
      value: 52.624
    - type: ndcg_at_5
      value: 50.409000000000006
    - type: precision_at_1
      value: 73.75
    - type: precision_at_10
      value: 40.025
    - type: precision_at_100
      value: 4.002
    - type: precision_at_1000
      value: 0.4
    - type: precision_at_20
      value: 20.012
    - type: precision_at_3
      value: 56.75
    - type: precision_at_5
      value: 49.3
    - type: recall_at_1
      value: 9.715
    - type: recall_at_10
      value: 30.368000000000002
    - type: recall_at_100
      value: 30.368000000000002
    - type: recall_at_1000
      value: 30.368000000000002
    - type: recall_at_20
      value: 30.368000000000002
    - type: recall_at_3
      value: 17.512
    - type: recall_at_5
      value: 22.381999999999998
  - task:
      type: Classification
    dataset:
      name: MTEB EmotionClassification
      type: mteb/emotion
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 50.964999999999996
    - type: f1
      value: 46.07175136684756
  - task:
      type: Retrieval
    dataset:
      name: MTEB FEVER
      type: mteb/fever
      config: default
      split: test
      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
    metrics:
    - type: map_at_1
      value: 79.73400000000001
    - type: map_at_10
      value: 86.61999999999999
    - type: map_at_100
      value: 86.61999999999999
    - type: map_at_1000
      value: 86.61999999999999
    - type: map_at_20
      value: 86.61999999999999
    - type: map_at_3
      value: 85.774
    - type: map_at_5
      value: 86.343
    - type: mrr_at_1
      value: 85.884
    - type: mrr_at_10
      value: 91.51700000000001
    - type: mrr_at_100
      value: 91.51700000000001
    - type: mrr_at_1000
      value: 91.51700000000001
    - type: mrr_at_20
      value: 91.51700000000001
    - type: mrr_at_3
      value: 91.034
    - type: mrr_at_5
      value: 91.426
    - type: ndcg_at_1
      value: 85.884
    - type: ndcg_at_10
      value: 89.791
    - type: ndcg_at_100
      value: 89.79
    - type: ndcg_at_1000
      value: 89.79
    - type: ndcg_at_20
      value: 89.79
    - type: ndcg_at_3
      value: 88.593
    - type: ndcg_at_5
      value: 89.333
    - type: precision_at_1
      value: 85.884
    - type: precision_at_10
      value: 10.491999999999999
    - type: precision_at_100
      value: 1.049
    - type: precision_at_1000
      value: 0.105
    - type: precision_at_20
      value: 5.2459999999999996
    - type: precision_at_3
      value: 33.312999999999995
    - type: precision_at_5
      value: 20.516000000000002
    - type: recall_at_1
      value: 79.73400000000001
    - type: recall_at_10
      value: 94.797
    - type: recall_at_100
      value: 94.797
    - type: recall_at_1000
      value: 94.797
    - type: recall_at_20
      value: 94.797
    - type: recall_at_3
      value: 91.475
    - type: recall_at_5
      value: 93.46900000000001
  - task:
      type: Retrieval
    dataset:
      name: MTEB FiQA2018
      type: mteb/fiqa
      config: default
      split: test
      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
    metrics:
    - type: map_at_1
      value: 27.916
    - type: map_at_10
      value: 45.756
    - type: map_at_100
      value: 45.756
    - type: map_at_1000
      value: 45.756
    - type: map_at_20
      value: 45.756
    - type: map_at_3
      value: 40.275
    - type: map_at_5
      value: 43.324
    - type: mrr_at_1
      value: 52.778000000000006
    - type: mrr_at_10
      value: 61.39
    - type: mrr_at_100
      value: 61.39
    - type: mrr_at_1000
      value: 61.39
    - type: mrr_at_20
      value: 61.39
    - type: mrr_at_3
      value: 59.541999999999994
    - type: mrr_at_5
      value: 60.661
    - type: ndcg_at_1
      value: 52.778000000000006
    - type: ndcg_at_10
      value: 53.823
    - type: ndcg_at_100
      value: 53.757999999999996
    - type: ndcg_at_1000
      value: 53.757999999999996
    - type: ndcg_at_20
      value: 53.757999999999996
    - type: ndcg_at_3
      value: 50.063
    - type: ndcg_at_5
      value: 51.224000000000004
    - type: precision_at_1
      value: 52.778000000000006
    - type: precision_at_10
      value: 14.691
    - type: precision_at_100
      value: 1.469
    - type: precision_at_1000
      value: 0.147
    - type: precision_at_20
      value: 7.346
    - type: precision_at_3
      value: 33.333
    - type: precision_at_5
      value: 24.227999999999998
    - type: recall_at_1
      value: 27.916
    - type: recall_at_10
      value: 60.638000000000005
    - type: recall_at_100
      value: 60.638000000000005
    - type: recall_at_1000
      value: 60.638000000000005
    - type: recall_at_20
      value: 60.638000000000005
    - type: recall_at_3
      value: 45.992
    - type: recall_at_5
      value: 52.413
  - task:
      type: Retrieval
    dataset:
      name: MTEB HotpotQA
      type: mteb/hotpotqa
      config: default
      split: test
      revision: ab518f4d6fcca38d87c25209f94beba119d02014
    metrics:
    - type: map_at_1
      value: 40.284
    - type: map_at_10
      value: 69.45700000000001
    - type: map_at_100
      value: 69.45700000000001
    - type: map_at_1000
      value: 69.45700000000001
    - type: map_at_20
      value: 69.45700000000001
    - type: map_at_3
      value: 65.689
    - type: map_at_5
      value: 68.186
    - type: mrr_at_1
      value: 80.567
    - type: mrr_at_10
      value: 86.39099999999999
    - type: mrr_at_100
      value: 86.39099999999999
    - type: mrr_at_1000
      value: 86.39099999999999
    - type: mrr_at_20
      value: 86.39099999999999
    - type: mrr_at_3
      value: 85.53500000000001
    - type: mrr_at_5
      value: 86.095
    - type: ndcg_at_1
      value: 80.567
    - type: ndcg_at_10
      value: 76.81700000000001
    - type: ndcg_at_100
      value: 76.81700000000001
    - type: ndcg_at_1000
      value: 76.81700000000001
    - type: ndcg_at_20
      value: 76.81700000000001
    - type: ndcg_at_3
      value: 71.696
    - type: ndcg_at_5
      value: 74.736
    - type: precision_at_1
      value: 80.567
    - type: precision_at_10
      value: 16.359
    - type: precision_at_100
      value: 1.636
    - type: precision_at_1000
      value: 0.164
    - type: precision_at_20
      value: 8.18
    - type: precision_at_3
      value: 47.089999999999996
    - type: precision_at_5
      value: 30.639
    - type: recall_at_1
      value: 40.284
    - type: recall_at_10
      value: 81.796
    - type: recall_at_100
      value: 81.796
    - type: recall_at_1000
      value: 81.796
    - type: recall_at_20
      value: 81.796
    - type: recall_at_3
      value: 70.635
    - type: recall_at_5
      value: 76.59700000000001
  - task:
      type: Classification
    dataset:
      name: MTEB ImdbClassification
      type: mteb/imdb
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 89.42760000000001
    - type: ap
      value: 85.65673213756732
    - type: f1
      value: 89.39873631717961
  - task:
      type: Retrieval
    dataset:
      name: MTEB MSMARCO
      type: mteb/msmarco
      config: default
      split: dev
      revision: c5a29a104738b98a9e76336939199e264163d4a0
    metrics:
    - type: map_at_1
      value: 19.54
    - type: map_at_10
      value: 32.481
    - type: map_at_100
      value: 32.481
    - type: map_at_1000
      value: 32.481
    - type: map_at_20
      value: 32.481
    - type: map_at_3
      value: 28.083000000000002
    - type: map_at_5
      value: 30.580000000000002
    - type: mrr_at_1
      value: 20.115
    - type: mrr_at_10
      value: 33.034
    - type: mrr_at_100
      value: 33.034
    - type: mrr_at_1000
      value: 33.034
    - type: mrr_at_20
      value: 33.034
    - type: mrr_at_3
      value: 28.755999999999997
    - type: mrr_at_5
      value: 31.195
    - type: ndcg_at_1
      value: 20.115
    - type: ndcg_at_10
      value: 40.006
    - type: ndcg_at_100
      value: 40.006
    - type: ndcg_at_1000
      value: 40.006
    - type: ndcg_at_20
      value: 40.006
    - type: ndcg_at_3
      value: 31.080000000000002
    - type: ndcg_at_5
      value: 35.524
    - type: precision_at_1
      value: 20.115
    - type: precision_at_10
      value: 6.638
    - type: precision_at_100
      value: 0.664
    - type: precision_at_1000
      value: 0.066
    - type: precision_at_20
      value: 3.319
    - type: precision_at_3
      value: 13.553
    - type: precision_at_5
      value: 10.384
    - type: recall_at_1
      value: 19.54
    - type: recall_at_10
      value: 63.344
    - type: recall_at_100
      value: 63.344
    - type: recall_at_1000
      value: 63.344
    - type: recall_at_20
      value: 63.344
    - type: recall_at_3
      value: 39.080999999999996
    - type: recall_at_5
      value: 49.769999999999996
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: mteb/mtop_domain
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 96.67578659370726
    - type: f1
      value: 96.44660736409732
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (en)
      type: mteb/mtop_intent
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 85.4719562243502
    - type: f1
      value: 70.478731125108
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: mteb/amazon_massive_intent
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 80.0268997982515
    - type: f1
      value: 77.36851682955398
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (en)
      type: mteb/amazon_massive_scenario
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 82.77740416946872
    - type: f1
      value: 82.36168633333541
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringP2P
      type: mteb/medrxiv-clustering-p2p
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 32.90073967924184
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  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringS2S
      type: mteb/medrxiv-clustering-s2s
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
    - type: v_measure
      value: 32.304535976211284
    - type: v_measures
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  - task:
      type: Reranking
    dataset:
      name: MTEB MindSmallReranking
      type: mteb/mind_small
      config: default
      split: test
      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
    metrics:
    - type: map
      value: 32.030630164228974
    - type: mrr
      value: 33.18900877896056
  - task:
      type: Retrieval
    dataset:
      name: MTEB NFCorpus
      type: mteb/nfcorpus
      config: default
      split: test
      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
    metrics:
    - type: map_at_1
      value: 7.213
    - type: map_at_10
      value: 15.870999999999999
    - type: map_at_100
      value: 15.870999999999999
    - type: map_at_1000
      value: 15.870999999999999
    - type: map_at_20
      value: 15.870999999999999
    - type: map_at_3
      value: 11.447000000000001
    - type: map_at_5
      value: 13.669
    - type: mrr_at_1
      value: 53.87
    - type: mrr_at_10
      value: 62.117999999999995
    - type: mrr_at_100
      value: 62.117999999999995
    - type: mrr_at_1000
      value: 62.117999999999995
    - type: mrr_at_20
      value: 62.117999999999995
    - type: mrr_at_3
      value: 60.01
    - type: mrr_at_5
      value: 61.480999999999995
    - type: ndcg_at_1
      value: 51.702999999999996
    - type: ndcg_at_10
      value: 40.859
    - type: ndcg_at_100
      value: 26.623
    - type: ndcg_at_1000
      value: 26.141
    - type: ndcg_at_20
      value: 32.744
    - type: ndcg_at_3
      value: 47.146
    - type: ndcg_at_5
      value: 44.887
    - type: precision_at_1
      value: 53.251000000000005
    - type: precision_at_10
      value: 30.092999999999996
    - type: precision_at_100
      value: 3.009
    - type: precision_at_1000
      value: 0.301
    - type: precision_at_20
      value: 15.046000000000001
    - type: precision_at_3
      value: 43.963
    - type: precision_at_5
      value: 39.009
    - type: recall_at_1
      value: 7.213
    - type: recall_at_10
      value: 19.909
    - type: recall_at_100
      value: 19.909
    - type: recall_at_1000
      value: 19.909
    - type: recall_at_20
      value: 19.909
    - type: recall_at_3
      value: 12.46
    - type: recall_at_5
      value: 16.107
  - task:
      type: Retrieval
    dataset:
      name: MTEB NQ
      type: mteb/nq
      config: default
      split: test
      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
    metrics:
    - type: map_at_1
      value: 38.688
    - type: map_at_10
      value: 56.261
    - type: map_at_100
      value: 56.261
    - type: map_at_1000
      value: 56.261
    - type: map_at_20
      value: 56.261
    - type: map_at_3
      value: 51.989
    - type: map_at_5
      value: 54.569
    - type: mrr_at_1
      value: 43.656
    - type: mrr_at_10
      value: 58.677
    - type: mrr_at_100
      value: 58.677
    - type: mrr_at_1000
      value: 58.677
    - type: mrr_at_20
      value: 58.677
    - type: mrr_at_3
      value: 55.456
    - type: mrr_at_5
      value: 57.391999999999996
    - type: ndcg_at_1
      value: 43.656
    - type: ndcg_at_10
      value: 64.149
    - type: ndcg_at_100
      value: 64.149
    - type: ndcg_at_1000
      value: 64.149
    - type: ndcg_at_20
      value: 64.149
    - type: ndcg_at_3
      value: 56.458
    - type: ndcg_at_5
      value: 60.556
    - type: precision_at_1
      value: 43.656
    - type: precision_at_10
      value: 10.242999999999999
    - type: precision_at_100
      value: 1.024
    - type: precision_at_1000
      value: 0.10200000000000001
    - type: precision_at_20
      value: 5.122
    - type: precision_at_3
      value: 25.657000000000004
    - type: precision_at_5
      value: 17.827
    - type: recall_at_1
      value: 38.688
    - type: recall_at_10
      value: 85.492
    - type: recall_at_100
      value: 85.492
    - type: recall_at_1000
      value: 85.492
    - type: recall_at_20
      value: 85.492
    - type: recall_at_3
      value: 65.86800000000001
    - type: recall_at_5
      value: 75.157
  - task:
      type: Retrieval
    dataset:
      name: MTEB QuoraRetrieval
      type: mteb/quora
      config: default
      split: test
      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
    metrics:
    - type: map_at_1
      value: 71.178
    - type: map_at_10
      value: 85.453
    - type: map_at_100
      value: 85.453
    - type: map_at_1000
      value: 85.453
    - type: map_at_20
      value: 85.453
    - type: map_at_3
      value: 82.494
    - type: map_at_5
      value: 84.384
    - type: mrr_at_1
      value: 82.04
    - type: mrr_at_10
      value: 88.02600000000001
    - type: mrr_at_100
      value: 88.02600000000001
    - type: mrr_at_1000
      value: 88.02600000000001
    - type: mrr_at_20
      value: 88.02600000000001
    - type: mrr_at_3
      value: 87.118
    - type: mrr_at_5
      value: 87.74300000000001
    - type: ndcg_at_1
      value: 82.05
    - type: ndcg_at_10
      value: 88.986
    - type: ndcg_at_100
      value: 88.85300000000001
    - type: ndcg_at_1000
      value: 88.85300000000001
    - type: ndcg_at_20
      value: 88.874
    - type: ndcg_at_3
      value: 86.253
    - type: ndcg_at_5
      value: 87.803
    - type: precision_at_1
      value: 82.05
    - type: precision_at_10
      value: 13.566
    - type: precision_at_100
      value: 1.357
    - type: precision_at_1000
      value: 0.136
    - type: precision_at_20
      value: 6.783
    - type: precision_at_3
      value: 37.857
    - type: precision_at_5
      value: 24.942
    - type: recall_at_1
      value: 71.178
    - type: recall_at_10
      value: 95.771
    - type: recall_at_100
      value: 95.771
    - type: recall_at_1000
      value: 95.771
    - type: recall_at_20
      value: 95.771
    - type: recall_at_3
      value: 87.935
    - type: recall_at_5
      value: 92.293
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClustering
      type: mteb/reddit-clustering
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
    metrics:
    - type: v_measure
      value: 62.0337414310567
    - type: v_measures
      value:
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      - 0.6024719265547521
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  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P
      type: mteb/reddit-clustering-p2p
      config: default
      split: test
      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
    metrics:
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      value: 64.90650880132416
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      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
      - 0.6867730490627711
      - 0.6695749873783695
      - 0.6735466912158105
      - 0.40760894716442037
      - 0.7351821359552528
      - 0.6331654231601911
      - 0.3872061665636622
      - 0.7884328196359962
      - 0.7400923787719617
      - 0.7690682812239796
  - task:
      type: Retrieval
    dataset:
      name: MTEB SCIDOCS
      type: mteb/scidocs
      config: default
      split: test
      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
    metrics:
    - type: map_at_1
      value: 5.378
    - type: map_at_10
      value: 14.246
    - type: map_at_100
      value: 14.246
    - type: map_at_1000
      value: 14.246
    - type: map_at_20
      value: 14.246
    - type: map_at_3
      value: 10.168000000000001
    - type: map_at_5
      value: 12.107999999999999
    - type: mrr_at_1
      value: 26.5
    - type: mrr_at_10
      value: 38.282
    - type: mrr_at_100
      value: 38.282
    - type: mrr_at_1000
      value: 38.282
    - type: mrr_at_20
      value: 38.282
    - type: mrr_at_3
      value: 35.283
    - type: mrr_at_5
      value: 36.742999999999995
    - type: ndcg_at_1
      value: 26.5
    - type: ndcg_at_10
      value: 23.342
    - type: ndcg_at_100
      value: 23.342
    - type: ndcg_at_1000
      value: 23.342
    - type: ndcg_at_20
      value: 23.342
    - type: ndcg_at_3
      value: 22.426
    - type: ndcg_at_5
      value: 19.326999999999998
    - type: precision_at_1
      value: 26.5
    - type: precision_at_10
      value: 12.2
    - type: precision_at_100
      value: 1.22
    - type: precision_at_1000
      value: 0.122
    - type: precision_at_20
      value: 6.1
    - type: precision_at_3
      value: 21.367
    - type: precision_at_5
      value: 17.1
    - type: recall_at_1
      value: 5.378
    - type: recall_at_10
      value: 24.725
    - type: recall_at_100
      value: 24.725
    - type: recall_at_1000
      value: 24.725
    - type: recall_at_20
      value: 24.725
    - type: recall_at_3
      value: 12.998000000000001
    - type: recall_at_5
      value: 17.337
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R
      type: mteb/sickr-sts
      config: default
      split: test
      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
    metrics:
    - type: cos_sim_pearson
      value: 86.15886131719716
    - type: cos_sim_spearman
      value: 83.36422679444524
    - type: euclidean_pearson
      value: 83.60722543060551
    - type: euclidean_spearman
      value: 83.36615167108201
    - type: manhattan_pearson
      value: 83.49779776169743
    - type: manhattan_spearman
      value: 83.2970912000804
  - task:
      type: STS
    dataset:
      name: MTEB STS12
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 87.00040631393384
    - type: cos_sim_spearman
      value: 79.88695146958382
    - type: euclidean_pearson
      value: 82.87830951101813
    - type: euclidean_spearman
      value: 78.81342612822002
    - type: manhattan_pearson
      value: 83.27329725748622
    - type: manhattan_spearman
      value: 79.24487142779232
  - task:
      type: STS
    dataset:
      name: MTEB STS13
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 87.46403674552138
    - type: cos_sim_spearman
      value: 88.3968038981169
    - type: euclidean_pearson
      value: 87.9867395305952
    - type: euclidean_spearman
      value: 88.50084925112196
    - type: manhattan_pearson
      value: 87.84826650949114
    - type: manhattan_spearman
      value: 88.4264633694987
  - task:
      type: STS
    dataset:
      name: MTEB STS14
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 86.33051578266844
    - type: cos_sim_spearman
      value: 85.96906608318722
    - type: euclidean_pearson
      value: 86.08087652971557
    - type: euclidean_spearman
      value: 86.2871150658858
    - type: manhattan_pearson
      value: 85.96247026170943
    - type: manhattan_spearman
      value: 86.348084535251
  - task:
      type: STS
    dataset:
      name: MTEB STS15
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 89.65021183240658
    - type: cos_sim_spearman
      value: 90.01036051355563
    - type: euclidean_pearson
      value: 89.34610124059546
    - type: euclidean_spearman
      value: 89.89816462250603
    - type: manhattan_pearson
      value: 89.45034332532651
    - type: manhattan_spearman
      value: 90.12149502943
  - task:
      type: STS
    dataset:
      name: MTEB STS16
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 86.38445171139439
    - type: cos_sim_spearman
      value: 88.06405772882476
    - type: euclidean_pearson
      value: 87.1032900128079
    - type: euclidean_spearman
      value: 87.86639736438771
    - type: manhattan_pearson
      value: 87.25501396297628
    - type: manhattan_spearman
      value: 88.01175383067931
  - task:
      type: STS
    dataset:
      name: MTEB STS17 (en-en)
      type: mteb/sts17-crosslingual-sts
      config: en-en
      split: test
      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
    metrics:
    - type: cos_sim_pearson
      value: 89.51886071808445
    - type: cos_sim_spearman
      value: 89.05111168557342
    - type: euclidean_pearson
      value: 89.8619983583313
    - type: euclidean_spearman
      value: 89.57381411572374
    - type: manhattan_pearson
      value: 89.54097114512615
    - type: manhattan_spearman
      value: 89.0124029528803
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
    metrics:
    - type: cos_sim_pearson
      value: 69.11659818631864
    - type: cos_sim_spearman
      value: 68.73933790764565
    - type: euclidean_pearson
      value: 69.3608440231078
    - type: euclidean_spearman
      value: 68.25989021427226
    - type: manhattan_pearson
      value: 69.32307009511591
    - type: manhattan_spearman
      value: 68.2229407569999
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 87.70774882997117
    - type: cos_sim_spearman
      value: 88.6908929434652
    - type: euclidean_pearson
      value: 88.2222605477348
    - type: euclidean_spearman
      value: 88.66834657653354
    - type: manhattan_pearson
      value: 88.0806219722353
    - type: manhattan_spearman
      value: 88.63261072811657
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 86.40231391278195
    - type: mrr
      value: 96.52358806770572
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact
      type: mteb/scifact
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    metrics:
    - type: map_at_1
      value: 61.828
    - type: map_at_10
      value: 73.262
    - type: map_at_100
      value: 73.262
    - type: map_at_1000
      value: 73.262
    - type: map_at_20
      value: 73.262
    - type: map_at_3
      value: 70.61500000000001
    - type: map_at_5
      value: 72.18900000000001
    - type: mrr_at_1
      value: 65.0
    - type: mrr_at_10
      value: 74.223
    - type: mrr_at_100
      value: 74.223
    - type: mrr_at_1000
      value: 74.223
    - type: mrr_at_20
      value: 74.223
    - type: mrr_at_3
      value: 72.38900000000001
    - type: mrr_at_5
      value: 73.30600000000001
    - type: ndcg_at_1
      value: 65.0
    - type: ndcg_at_10
      value: 78.02799999999999
    - type: ndcg_at_100
      value: 78.02799999999999
    - type: ndcg_at_1000
      value: 78.02799999999999
    - type: ndcg_at_20
      value: 78.02799999999999
    - type: ndcg_at_3
      value: 73.73100000000001
    - type: ndcg_at_5
      value: 75.652
    - type: precision_at_1
      value: 65.0
    - type: precision_at_10
      value: 10.333
    - type: precision_at_100
      value: 1.0330000000000001
    - type: precision_at_1000
      value: 0.10300000000000001
    - type: precision_at_20
      value: 5.167
    - type: precision_at_3
      value: 29.110999999999997
    - type: precision_at_5
      value: 18.933
    - type: recall_at_1
      value: 61.828
    - type: recall_at_10
      value: 91.656
    - type: recall_at_100
      value: 91.656
    - type: recall_at_1000
      value: 91.656
    - type: recall_at_20
      value: 91.656
    - type: recall_at_3
      value: 79.767
    - type: recall_at_5
      value: 84.60600000000001
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.84257425742574
    - type: cos_sim_ap
      value: 96.37616198293242
    - type: cos_sim_f1
      value: 91.92483494159471
    - type: cos_sim_precision
      value: 93.3952528379773
    - type: cos_sim_recall
      value: 90.5
    - type: dot_accuracy
      value: 99.75544554455446
    - type: dot_ap
      value: 93.95361847363756
    - type: dot_f1
      value: 87.66849725411883
    - type: dot_precision
      value: 87.53738783649054
    - type: dot_recall
      value: 87.8
    - type: euclidean_accuracy
      value: 99.84257425742574
    - type: euclidean_ap
      value: 96.24059702931834
    - type: euclidean_f1
      value: 91.93302891933028
    - type: euclidean_precision
      value: 93.3058702368692
    - type: euclidean_recall
      value: 90.60000000000001
    - type: manhattan_accuracy
      value: 99.84752475247525
    - type: manhattan_ap
      value: 96.37270807643512
    - type: manhattan_f1
      value: 92.13483146067415
    - type: manhattan_precision
      value: 94.1544885177453
    - type: manhattan_recall
      value: 90.2
    - type: max_accuracy
      value: 99.84752475247525
    - type: max_ap
      value: 96.37616198293242
    - type: max_f1
      value: 92.13483146067415
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
    metrics:
    - type: v_measure
      value: 71.17621756822422
    - type: v_measures
      value:
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      - 0.6728111695551933
      - 0.6734562846919451
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      - 0.7521876023808786
      - 0.6774745453091855
      - 0.7149463068624518
      - 0.7959522106956355
      - 0.692611822616584
      - 0.7148665068884766
      - 0.7780348326422128
      - 0.7378351613592702
      - 0.7521627066730262
      - 0.8069083201805425
      - 0.6328373767337706
      - 0.6705605652326363
      - 0.6963029850066897
      - 0.6836438610130369
      - 0.6729473481464826
      - 0.6864686782949194
      - 0.7074212562176637
      - 0.7315185391604614
      - 0.6852348961730277
      - 0.7120267811240509
      - 0.6921203644241556
      - 0.7477950473623103
      - 0.6728111695551933
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  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
    metrics:
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      value: 34.84294873831607
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  - task:
      type: Reranking
    dataset:
      name: MTEB StackOverflowDupQuestions
      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
    - type: map
      value: 55.93707898596513
    - type: mrr
      value: 57.00651472710297
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 30.351178802339017
    - type: cos_sim_spearman
      value: 30.93982299939136
    - type: dot_pearson
      value: 28.32212875009798
    - type: dot_spearman
      value: 30.378331720649506
  - task:
      type: Retrieval
    dataset:
      name: MTEB TRECCOVID
      type: mteb/trec-covid
      config: default
      split: test
      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
    metrics:
    - type: map_at_1
      value: 0.23700000000000002
    - type: map_at_10
      value: 1.9689999999999999
    - type: map_at_100
      value: 1.9689999999999999
    - type: map_at_1000
      value: 1.9689999999999999
    - type: map_at_20
      value: 1.9689999999999999
    - type: map_at_3
      value: 0.654
    - type: map_at_5
      value: 1.06
    - type: mrr_at_1
      value: 90.0
    - type: mrr_at_10
      value: 94.333
    - type: mrr_at_100
      value: 94.333
    - type: mrr_at_1000
      value: 94.333
    - type: mrr_at_20
      value: 94.333
    - type: mrr_at_3
      value: 94.333
    - type: mrr_at_5
      value: 94.333
    - type: ndcg_at_1
      value: 86.0
    - type: ndcg_at_10
      value: 79.069
    - type: ndcg_at_100
      value: 17.387
    - type: ndcg_at_1000
      value: 7.374
    - type: ndcg_at_20
      value: 51.028
    - type: ndcg_at_3
      value: 83.693
    - type: ndcg_at_5
      value: 82.56700000000001
    - type: precision_at_1
      value: 90.0
    - type: precision_at_10
      value: 82.0
    - type: precision_at_100
      value: 8.200000000000001
    - type: precision_at_1000
      value: 0.8200000000000001
    - type: precision_at_20
      value: 41.0
    - type: precision_at_3
      value: 87.333
    - type: precision_at_5
      value: 85.6
    - type: recall_at_1
      value: 0.23700000000000002
    - type: recall_at_10
      value: 2.154
    - type: recall_at_100
      value: 2.154
    - type: recall_at_1000
      value: 2.154
    - type: recall_at_20
      value: 2.154
    - type: recall_at_3
      value: 0.685
    - type: recall_at_5
      value: 1.124
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020
      type: mteb/touche2020
      config: default
      split: test
      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
    metrics:
    - type: map_at_1
      value: 2.703
    - type: map_at_10
      value: 9.223
    - type: map_at_100
      value: 9.223
    - type: map_at_1000
      value: 9.223
    - type: map_at_20
      value: 9.223
    - type: map_at_3
      value: 5.239
    - type: map_at_5
      value: 6.635000000000001
    - type: mrr_at_1
      value: 34.694
    - type: mrr_at_10
      value: 45.578
    - type: mrr_at_100
      value: 45.578
    - type: mrr_at_1000
      value: 45.578
    - type: mrr_at_20
      value: 45.578
    - type: mrr_at_3
      value: 42.516999999999996
    - type: mrr_at_5
      value: 44.864
    - type: ndcg_at_1
      value: 32.653
    - type: ndcg_at_10
      value: 22.653000000000002
    - type: ndcg_at_100
      value: 18.984
    - type: ndcg_at_1000
      value: 18.984
    - type: ndcg_at_20
      value: 19.167
    - type: ndcg_at_3
      value: 26.177
    - type: ndcg_at_5
      value: 24.663
    - type: precision_at_1
      value: 34.694
    - type: precision_at_10
      value: 18.98
    - type: precision_at_100
      value: 1.8980000000000001
    - type: precision_at_1000
      value: 0.19
    - type: precision_at_20
      value: 9.49
    - type: precision_at_3
      value: 25.85
    - type: precision_at_5
      value: 23.673
    - type: recall_at_1
      value: 2.703
    - type: recall_at_10
      value: 14.594999999999999
    - type: recall_at_100
      value: 14.594999999999999
    - type: recall_at_1000
      value: 14.594999999999999
    - type: recall_at_20
      value: 14.594999999999999
    - type: recall_at_3
      value: 5.946
    - type: recall_at_5
      value: 8.683
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
    metrics:
    - type: accuracy
      value: 65.673828125
    - type: ap
      value: 12.447736297176911
    - type: f1
      value: 50.78594018688396
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 62.60611205432938
    - type: f1
      value: 62.82045205162571
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 54.37082277640638
    - type: v_measures
      value:
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      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
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      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
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      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
      - 0.5409183583796854
      - 0.5370809703620781
      - 0.5323756926259336
      - 0.5434072749886981
      - 0.5499501979980845
      - 0.5460629240550339
      - 0.5543320007194547
      - 0.5515281113090142
      - 0.5436396439745212
      - 0.5377871032281346
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 88.86570900637778
    - type: cos_sim_ap
      value: 82.37268769366939
    - type: cos_sim_f1
      value: 74.7083775185578
    - type: cos_sim_precision
      value: 75.06659563132658
    - type: cos_sim_recall
      value: 74.35356200527704
    - type: dot_accuracy
      value: 86.2609524944865
    - type: dot_ap
      value: 74.8055407969579
    - type: dot_f1
      value: 68.9965903555772
    - type: dot_precision
      value: 64.06603346901855
    - type: dot_recall
      value: 74.74934036939314
    - type: euclidean_accuracy
      value: 88.85974846516064
    - type: euclidean_ap
      value: 82.41589558001058
    - type: euclidean_f1
      value: 74.70888394609446
    - type: euclidean_precision
      value: 74.09810537243706
    - type: euclidean_recall
      value: 75.32981530343008
    - type: manhattan_accuracy
      value: 88.71669547594921
    - type: manhattan_ap
      value: 82.2077641402819
    - type: manhattan_f1
      value: 74.43037974683546
    - type: manhattan_precision
      value: 75.18169582772543
    - type: manhattan_recall
      value: 73.6939313984169
    - type: max_accuracy
      value: 88.86570900637778
    - type: max_ap
      value: 82.41589558001058
    - type: max_f1
      value: 74.70888394609446
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 89.67283735009897
    - type: cos_sim_ap
      value: 87.24295583945482
    - type: cos_sim_f1
      value: 79.91967871485943
    - type: cos_sim_precision
      value: 77.28711162255466
    - type: cos_sim_recall
      value: 82.73791191869418
    - type: dot_accuracy
      value: 88.57259285132145
    - type: dot_ap
      value: 84.94911679167208
    - type: dot_f1
      value: 78.03707259434312
    - type: dot_precision
      value: 74.97516673761885
    - type: dot_recall
      value: 81.35971666153372
    - type: euclidean_accuracy
      value: 89.65925408468196
    - type: euclidean_ap
      value: 87.20753315344663
    - type: euclidean_f1
      value: 79.88855487939
    - type: euclidean_precision
      value: 76.24912526242127
    - type: euclidean_recall
      value: 83.89282414536495
    - type: manhattan_accuracy
      value: 89.62626615438352
    - type: manhattan_ap
      value: 87.25477616369629
    - type: manhattan_f1
      value: 79.90573332842362
    - type: manhattan_precision
      value: 76.5756228385913
    - type: manhattan_recall
      value: 83.53865106251925
    - type: max_accuracy
      value: 89.67283735009897
    - type: max_ap
      value: 87.25477616369629
    - type: max_f1
      value: 79.91967871485943
---








---
Private dataset
---
