sentence-transformers onnx safetensors bert feature-extraction sentence-similarity bge mteb mergekit merge arxiv:2403.19522 base_model:Mihaiii/Wartortle base_model:merge:Mihaiii/Wartortle base_model:TaylorAI/bge-micro base_model:merge:TaylorAI/bge-micro base_model:TaylorAI/bge-micro-v2 base_model:merge:TaylorAI/bge-micro-v2 license:mit model-index autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
base_model:
- Mihaiii/Wartortle
- TaylorAI/bge-micro-v2
- TaylorAI/bge-micro
library_name: sentence-transformers
license: mit
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- bge
- mteb
- mergekit
- merge
model-index:
- name: Kyurem
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    metrics:
    - type: accuracy
      value: 66.83582089552239
    - type: ap
      value: 29.376874523513568
    - type: f1
      value: 60.66923695285069
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonPolarityClassification
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    metrics:
    - type: accuracy
      value: 70.484925
    - type: ap
      value: 64.8627321394567
    - type: f1
      value: 70.2682474297364
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    metrics:
    - type: accuracy
      value: 33.652
    - type: f1
      value: 33.48200260424572
  - task:
      type: Retrieval
    dataset:
      name: MTEB ArguAna
      type: mteb/arguana
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
    metrics:
    - type: map_at_1
      value: 22.404
    - type: map_at_10
      value: 36.144999999999996
    - type: map_at_100
      value: 37.309
    - type: map_at_1000
      value: 37.333
    - type: map_at_20
      value: 37.0
    - type: map_at_3
      value: 31.105
    - type: map_at_5
      value: 34.149
    - type: mrr_at_1
      value: 23.186
    - type: mrr_at_10
      value: 36.439
    - type: mrr_at_100
      value: 37.617
    - type: mrr_at_1000
      value: 37.641000000000005
    - type: mrr_at_20
      value: 37.308
    - type: mrr_at_3
      value: 31.52
    - type: mrr_at_5
      value: 34.486
    - type: ndcg_at_1
      value: 22.404
    - type: ndcg_at_10
      value: 44.346000000000004
    - type: ndcg_at_100
      value: 49.594
    - type: ndcg_at_1000
      value: 50.183
    - type: ndcg_at_20
      value: 47.435
    - type: ndcg_at_3
      value: 34.032000000000004
    - type: ndcg_at_5
      value: 39.513999999999996
    - type: precision_at_1
      value: 22.404
    - type: precision_at_10
      value: 7.077
    - type: precision_at_100
      value: 0.9440000000000001
    - type: precision_at_1000
      value: 0.099
    - type: precision_at_20
      value: 4.147
    - type: precision_at_3
      value: 14.177000000000001
    - type: precision_at_5
      value: 11.166
    - type: recall_at_1
      value: 22.404
    - type: recall_at_10
      value: 70.768
    - type: recall_at_100
      value: 94.381
    - type: recall_at_1000
      value: 98.933
    - type: recall_at_20
      value: 82.93
    - type: recall_at_3
      value: 42.532
    - type: recall_at_5
      value: 55.832
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: v_measure
      value: 41.21099868792524
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  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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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: 56.482918023354756
    - type: mrr
      value: 71.40625687024578
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
    - type: cos_sim_pearson
      value: 82.45457865102485
    - type: cos_sim_spearman
      value: 80.93979607539022
    - type: euclidean_pearson
      value: 80.32159015984955
    - type: euclidean_spearman
      value: 80.43857983556106
    - type: manhattan_pearson
      value: 79.92848954545586
    - type: manhattan_spearman
      value: 80.13375361278035
  - task:
      type: Classification
    dataset:
      name: MTEB Banking77Classification
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
    - type: accuracy
      value: 78.03896103896105
    - type: f1
      value: 77.95281857082068
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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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: 25.403397653930277
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      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
      - 0.25211135920974637
      - 0.2555810935778401
      - 0.24514558082881716
      - 0.2403770723658212
      - 0.24447620192409808
      - 0.2626903314918885
      - 0.26306584584054
      - 0.25496385558544915
      - 0.25490931908560616
      - 0.26701910548322105
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: mteb/cqadupstack-android
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
    metrics:
    - type: map_at_1
      value: 21.698999999999998
    - type: map_at_10
      value: 28.98
    - type: map_at_100
      value: 30.364
    - type: map_at_1000
      value: 30.516
    - type: map_at_20
      value: 29.681
    - type: map_at_3
      value: 26.418000000000003
    - type: map_at_5
      value: 27.590999999999998
    - type: mrr_at_1
      value: 27.325
    - type: mrr_at_10
      value: 34.595
    - type: mrr_at_100
      value: 35.63
    - type: mrr_at_1000
      value: 35.705
    - type: mrr_at_20
      value: 35.199000000000005
    - type: mrr_at_3
      value: 32.403
    - type: mrr_at_5
      value: 33.605000000000004
    - type: ndcg_at_1
      value: 27.325
    - type: ndcg_at_10
      value: 34.005
    - type: ndcg_at_100
      value: 40.031
    - type: ndcg_at_1000
      value: 42.962
    - type: ndcg_at_20
      value: 36.095
    - type: ndcg_at_3
      value: 30.081999999999997
    - type: ndcg_at_5
      value: 31.447999999999997
    - type: precision_at_1
      value: 27.325
    - type: precision_at_10
      value: 6.552
    - type: precision_at_100
      value: 1.22
    - type: precision_at_1000
      value: 0.17500000000000002
    - type: precision_at_20
      value: 4.041
    - type: precision_at_3
      value: 14.496999999999998
    - type: precision_at_5
      value: 10.242999999999999
    - type: recall_at_1
      value: 21.698999999999998
    - type: recall_at_10
      value: 43.295
    - type: recall_at_100
      value: 69.304
    - type: recall_at_1000
      value: 89.241
    - type: recall_at_20
      value: 50.856
    - type: recall_at_3
      value: 31.230000000000004
    - type: recall_at_5
      value: 35.587999999999994
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackEnglishRetrieval
      type: mteb/cqadupstack-english
      config: default
      split: test
      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
    metrics:
    - type: map_at_1
      value: 14.81
    - type: map_at_10
      value: 19.692999999999998
    - type: map_at_100
      value: 20.535
    - type: map_at_1000
      value: 20.643
    - type: map_at_20
      value: 20.097
    - type: map_at_3
      value: 18.157
    - type: map_at_5
      value: 19.006999999999998
    - type: mrr_at_1
      value: 17.898
    - type: mrr_at_10
      value: 22.719
    - type: mrr_at_100
      value: 23.473
    - type: mrr_at_1000
      value: 23.547
    - type: mrr_at_20
      value: 23.111
    - type: mrr_at_3
      value: 21.189
    - type: mrr_at_5
      value: 21.934
    - type: ndcg_at_1
      value: 17.898
    - type: ndcg_at_10
      value: 22.817999999999998
    - type: ndcg_at_100
      value: 26.998
    - type: ndcg_at_1000
      value: 29.698
    - type: ndcg_at_20
      value: 24.123
    - type: ndcg_at_3
      value: 20.115
    - type: ndcg_at_5
      value: 21.288999999999998
    - type: precision_at_1
      value: 17.898
    - type: precision_at_10
      value: 4.159
    - type: precision_at_100
      value: 0.769
    - type: precision_at_1000
      value: 0.123
    - type: precision_at_20
      value: 2.506
    - type: precision_at_3
      value: 9.406
    - type: precision_at_5
      value: 6.688
    - type: recall_at_1
      value: 14.81
    - type: recall_at_10
      value: 29.049000000000003
    - type: recall_at_100
      value: 47.699999999999996
    - type: recall_at_1000
      value: 66.43599999999999
    - type: recall_at_20
      value: 33.812
    - type: recall_at_3
      value: 21.435000000000002
    - type: recall_at_5
      value: 24.573999999999998
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGamingRetrieval
      type: mteb/cqadupstack-gaming
      config: default
      split: test
      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
    metrics:
    - type: map_at_1
      value: 25.629
    - type: map_at_10
      value: 35.592
    - type: map_at_100
      value: 36.663000000000004
    - type: map_at_1000
      value: 36.746
    - type: map_at_20
      value: 36.15
    - type: map_at_3
      value: 32.903
    - type: map_at_5
      value: 34.448
    - type: mrr_at_1
      value: 29.404000000000003
    - type: mrr_at_10
      value: 38.423
    - type: mrr_at_100
      value: 39.283
    - type: mrr_at_1000
      value: 39.334
    - type: mrr_at_20
      value: 38.895
    - type: mrr_at_3
      value: 36.134
    - type: mrr_at_5
      value: 37.441
    - type: ndcg_at_1
      value: 29.404000000000003
    - type: ndcg_at_10
      value: 40.814
    - type: ndcg_at_100
      value: 45.800999999999995
    - type: ndcg_at_1000
      value: 47.721999999999994
    - type: ndcg_at_20
      value: 42.576
    - type: ndcg_at_3
      value: 35.931999999999995
    - type: ndcg_at_5
      value: 38.305
    - type: precision_at_1
      value: 29.404000000000003
    - type: precision_at_10
      value: 6.802999999999999
    - type: precision_at_100
      value: 1.023
    - type: precision_at_1000
      value: 0.125
    - type: precision_at_20
      value: 3.9059999999999997
    - type: precision_at_3
      value: 16.343
    - type: precision_at_5
      value: 11.472999999999999
    - type: recall_at_1
      value: 25.629
    - type: recall_at_10
      value: 53.672
    - type: recall_at_100
      value: 76.322
    - type: recall_at_1000
      value: 90.231
    - type: recall_at_20
      value: 60.19
    - type: recall_at_3
      value: 40.454
    - type: recall_at_5
      value: 46.237
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackGisRetrieval
      type: mteb/cqadupstack-gis
      config: default
      split: test
      revision: 5003b3064772da1887988e05400cf3806fe491f2
    metrics:
    - type: map_at_1
      value: 15.157000000000002
    - type: map_at_10
      value: 21.04
    - type: map_at_100
      value: 21.94
    - type: map_at_1000
      value: 22.048000000000002
    - type: map_at_20
      value: 21.497
    - type: map_at_3
      value: 19.082
    - type: map_at_5
      value: 20.252
    - type: mrr_at_1
      value: 16.723
    - type: mrr_at_10
      value: 22.637999999999998
    - type: mrr_at_100
      value: 23.51
    - type: mrr_at_1000
      value: 23.602
    - type: mrr_at_20
      value: 23.086000000000002
    - type: mrr_at_3
      value: 20.716
    - type: mrr_at_5
      value: 21.863
    - type: ndcg_at_1
      value: 16.723
    - type: ndcg_at_10
      value: 24.684
    - type: ndcg_at_100
      value: 29.397000000000002
    - type: ndcg_at_1000
      value: 32.545
    - type: ndcg_at_20
      value: 26.299
    - type: ndcg_at_3
      value: 20.809
    - type: ndcg_at_5
      value: 22.830000000000002
    - type: precision_at_1
      value: 16.723
    - type: precision_at_10
      value: 3.932
    - type: precision_at_100
      value: 0.661
    - type: precision_at_1000
      value: 0.098
    - type: precision_at_20
      value: 2.339
    - type: precision_at_3
      value: 8.964
    - type: precision_at_5
      value: 6.531000000000001
    - type: recall_at_1
      value: 15.157000000000002
    - type: recall_at_10
      value: 34.552
    - type: recall_at_100
      value: 56.629
    - type: recall_at_1000
      value: 80.962
    - type: recall_at_20
      value: 40.626
    - type: recall_at_3
      value: 24.012
    - type: recall_at_5
      value: 28.888
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackMathematicaRetrieval
      type: mteb/cqadupstack-mathematica
      config: default
      split: test
      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
    metrics:
    - type: map_at_1
      value: 10.983
    - type: map_at_10
      value: 16.149
    - type: map_at_100
      value: 17.321
    - type: map_at_1000
      value: 17.432
    - type: map_at_20
      value: 16.742
    - type: map_at_3
      value: 14.524999999999999
    - type: map_at_5
      value: 15.357000000000001
    - type: mrr_at_1
      value: 13.433
    - type: mrr_at_10
      value: 19.508
    - type: mrr_at_100
      value: 20.559
    - type: mrr_at_1000
      value: 20.64
    - type: mrr_at_20
      value: 20.078
    - type: mrr_at_3
      value: 17.848
    - type: mrr_at_5
      value: 18.657
    - type: ndcg_at_1
      value: 13.433
    - type: ndcg_at_10
      value: 19.719
    - type: ndcg_at_100
      value: 25.689
    - type: ndcg_at_1000
      value: 28.907
    - type: ndcg_at_20
      value: 21.816
    - type: ndcg_at_3
      value: 16.659
    - type: ndcg_at_5
      value: 17.877000000000002
    - type: precision_at_1
      value: 13.433
    - type: precision_at_10
      value: 3.794
    - type: precision_at_100
      value: 0.7849999999999999
    - type: precision_at_1000
      value: 0.12
    - type: precision_at_20
      value: 2.456
    - type: precision_at_3
      value: 8.126
    - type: precision_at_5
      value: 5.821
    - type: recall_at_1
      value: 10.983
    - type: recall_at_10
      value: 27.284000000000002
    - type: recall_at_100
      value: 54.167
    - type: recall_at_1000
      value: 78.131
    - type: recall_at_20
      value: 35.012
    - type: recall_at_3
      value: 18.557000000000002
    - type: recall_at_5
      value: 21.753
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackPhysicsRetrieval
      type: mteb/cqadupstack-physics
      config: default
      split: test
      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
    metrics:
    - type: map_at_1
      value: 19.062
    - type: map_at_10
      value: 26.586
    - type: map_at_100
      value: 27.767999999999997
    - type: map_at_1000
      value: 27.904
    - type: map_at_20
      value: 27.162999999999997
    - type: map_at_3
      value: 23.751
    - type: map_at_5
      value: 25.320999999999998
    - type: mrr_at_1
      value: 23.388
    - type: mrr_at_10
      value: 31.291999999999998
    - type: mrr_at_100
      value: 32.196000000000005
    - type: mrr_at_1000
      value: 32.269999999999996
    - type: mrr_at_20
      value: 31.752000000000002
    - type: mrr_at_3
      value: 28.681
    - type: mrr_at_5
      value: 30.168
    - type: ndcg_at_1
      value: 23.388
    - type: ndcg_at_10
      value: 31.741999999999997
    - type: ndcg_at_100
      value: 37.279
    - type: ndcg_at_1000
      value: 40.199
    - type: ndcg_at_20
      value: 33.566
    - type: ndcg_at_3
      value: 26.858999999999998
    - type: ndcg_at_5
      value: 29.165000000000003
    - type: precision_at_1
      value: 23.388
    - type: precision_at_10
      value: 6.0249999999999995
    - type: precision_at_100
      value: 1.056
    - type: precision_at_1000
      value: 0.151
    - type: precision_at_20
      value: 3.614
    - type: precision_at_3
      value: 12.737000000000002
    - type: precision_at_5
      value: 9.471
    - type: recall_at_1
      value: 19.062
    - type: recall_at_10
      value: 42.549
    - type: recall_at_100
      value: 66.708
    - type: recall_at_1000
      value: 86.7
    - type: recall_at_20
      value: 48.991
    - type: recall_at_3
      value: 29.024
    - type: recall_at_5
      value: 34.885
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackProgrammersRetrieval
      type: mteb/cqadupstack-programmers
      config: default
      split: test
      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
    metrics:
    - type: map_at_1
      value: 13.578000000000001
    - type: map_at_10
      value: 19.436
    - type: map_at_100
      value: 20.51
    - type: map_at_1000
      value: 20.654
    - type: map_at_20
      value: 19.948
    - type: map_at_3
      value: 17.293
    - type: map_at_5
      value: 18.166
    - type: mrr_at_1
      value: 16.21
    - type: mrr_at_10
      value: 22.668
    - type: mrr_at_100
      value: 23.572000000000003
    - type: mrr_at_1000
      value: 23.666
    - type: mrr_at_20
      value: 23.095
    - type: mrr_at_3
      value: 20.491
    - type: mrr_at_5
      value: 21.444
    - type: ndcg_at_1
      value: 16.21
    - type: ndcg_at_10
      value: 23.648
    - type: ndcg_at_100
      value: 29.029
    - type: ndcg_at_1000
      value: 32.550000000000004
    - type: ndcg_at_20
      value: 25.28
    - type: ndcg_at_3
      value: 19.515
    - type: ndcg_at_5
      value: 20.821
    - type: precision_at_1
      value: 16.21
    - type: precision_at_10
      value: 4.566
    - type: precision_at_100
      value: 0.873
    - type: precision_at_1000
      value: 0.135
    - type: precision_at_20
      value: 2.791
    - type: precision_at_3
      value: 9.399000000000001
    - type: precision_at_5
      value: 6.758
    - type: recall_at_1
      value: 13.578000000000001
    - type: recall_at_10
      value: 33.276
    - type: recall_at_100
      value: 57.316
    - type: recall_at_1000
      value: 82.33500000000001
    - type: recall_at_20
      value: 38.95
    - type: recall_at_3
      value: 21.467
    - type: recall_at_5
      value: 24.939
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackRetrieval
      type: mteb/cqadupstack
      config: default
      split: test
      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
    metrics:
    - type: map_at_1
      value: 15.536166666666668
    - type: map_at_10
      value: 21.584333333333337
    - type: map_at_100
      value: 22.610750000000003
    - type: map_at_1000
      value: 22.732083333333335
    - type: map_at_20
      value: 22.088166666666666
    - type: map_at_3
      value: 19.561583333333328
    - type: map_at_5
      value: 20.634666666666668
    - type: mrr_at_1
      value: 18.388583333333333
    - type: mrr_at_10
      value: 24.63783333333333
    - type: mrr_at_100
      value: 25.53608333333333
    - type: mrr_at_1000
      value: 25.61658333333333
    - type: mrr_at_20
      value: 25.101000000000003
    - type: mrr_at_3
      value: 22.641583333333333
    - type: mrr_at_5
      value: 23.715083333333336
    - type: ndcg_at_1
      value: 18.388583333333333
    - type: ndcg_at_10
      value: 25.564000000000004
    - type: ndcg_at_100
      value: 30.654500000000002
    - type: ndcg_at_1000
      value: 33.64308333333334
    - type: ndcg_at_20
      value: 27.234
    - type: ndcg_at_3
      value: 21.81491666666667
    - type: ndcg_at_5
      value: 23.46691666666667
    - type: precision_at_1
      value: 18.388583333333333
    - type: precision_at_10
      value: 4.581499999999999
    - type: precision_at_100
      value: 0.8400833333333335
    - type: precision_at_1000
      value: 0.12791666666666665
    - type: precision_at_20
      value: 2.7849166666666663
    - type: precision_at_3
      value: 10.077333333333334
    - type: precision_at_5
      value: 7.273250000000001
    - type: recall_at_1
      value: 15.536166666666668
    - type: recall_at_10
      value: 34.61533333333334
    - type: recall_at_100
      value: 57.71308333333332
    - type: recall_at_1000
      value: 79.32074999999999
    - type: recall_at_20
      value: 40.750416666666666
    - type: recall_at_3
      value: 24.079333333333334
    - type: recall_at_5
      value: 28.31308333333333
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackStatsRetrieval
      type: mteb/cqadupstack-stats
      config: default
      split: test
      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
    metrics:
    - type: map_at_1
      value: 14.603
    - type: map_at_10
      value: 20.063
    - type: map_at_100
      value: 20.966
    - type: map_at_1000
      value: 21.060000000000002
    - type: map_at_20
      value: 20.531
    - type: map_at_3
      value: 18.448
    - type: map_at_5
      value: 19.484
    - type: mrr_at_1
      value: 16.258
    - type: mrr_at_10
      value: 22.21
    - type: mrr_at_100
      value: 23.066
    - type: mrr_at_1000
      value: 23.142
    - type: mrr_at_20
      value: 22.631999999999998
    - type: mrr_at_3
      value: 20.602999999999998
    - type: mrr_at_5
      value: 21.593
    - type: ndcg_at_1
      value: 16.258
    - type: ndcg_at_10
      value: 23.396
    - type: ndcg_at_100
      value: 28.023999999999997
    - type: ndcg_at_1000
      value: 30.681000000000004
    - type: ndcg_at_20
      value: 24.971
    - type: ndcg_at_3
      value: 20.352
    - type: ndcg_at_5
      value: 22.036
    - type: precision_at_1
      value: 16.258
    - type: precision_at_10
      value: 3.758
    - type: precision_at_100
      value: 0.661
    - type: precision_at_1000
      value: 0.096
    - type: precision_at_20
      value: 2.247
    - type: precision_at_3
      value: 9.1
    - type: precision_at_5
      value: 6.503
    - type: recall_at_1
      value: 14.603
    - type: recall_at_10
      value: 31.578
    - type: recall_at_100
      value: 52.87500000000001
    - type: recall_at_1000
      value: 72.993
    - type: recall_at_20
      value: 37.464
    - type: recall_at_3
      value: 23.089000000000002
    - type: recall_at_5
      value: 27.272000000000002
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackTexRetrieval
      type: mteb/cqadupstack-tex
      config: default
      split: test
      revision: 46989137a86843e03a6195de44b09deda022eec7
    metrics:
    - type: map_at_1
      value: 9.844999999999999
    - type: map_at_10
      value: 14.209
    - type: map_at_100
      value: 15.094
    - type: map_at_1000
      value: 15.215
    - type: map_at_20
      value: 14.646
    - type: map_at_3
      value: 12.802
    - type: map_at_5
      value: 13.543
    - type: mrr_at_1
      value: 12.113
    - type: mrr_at_10
      value: 16.875
    - type: mrr_at_100
      value: 17.73
    - type: mrr_at_1000
      value: 17.824
    - type: mrr_at_20
      value: 17.318
    - type: mrr_at_3
      value: 15.273
    - type: mrr_at_5
      value: 16.164
    - type: ndcg_at_1
      value: 12.113
    - type: ndcg_at_10
      value: 17.28
    - type: ndcg_at_100
      value: 21.939
    - type: ndcg_at_1000
      value: 25.262
    - type: ndcg_at_20
      value: 18.822
    - type: ndcg_at_3
      value: 14.485999999999999
    - type: ndcg_at_5
      value: 15.731
    - type: precision_at_1
      value: 12.113
    - type: precision_at_10
      value: 3.19
    - type: precision_at_100
      value: 0.661
    - type: precision_at_1000
      value: 0.11
    - type: precision_at_20
      value: 2.046
    - type: precision_at_3
      value: 6.825
    - type: precision_at_5
      value: 5.003
    - type: recall_at_1
      value: 9.844999999999999
    - type: recall_at_10
      value: 24.005000000000003
    - type: recall_at_100
      value: 45.385
    - type: recall_at_1000
      value: 69.99499999999999
    - type: recall_at_20
      value: 29.704000000000004
    - type: recall_at_3
      value: 16.295
    - type: recall_at_5
      value: 19.444
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackUnixRetrieval
      type: mteb/cqadupstack-unix
      config: default
      split: test
      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
    metrics:
    - type: map_at_1
      value: 14.875
    - type: map_at_10
      value: 20.305999999999997
    - type: map_at_100
      value: 21.23
    - type: map_at_1000
      value: 21.342
    - type: map_at_20
      value: 20.709
    - type: map_at_3
      value: 18.199
    - type: map_at_5
      value: 19.268
    - type: mrr_at_1
      value: 17.071
    - type: mrr_at_10
      value: 23.003
    - type: mrr_at_100
      value: 23.857999999999997
    - type: mrr_at_1000
      value: 23.939
    - type: mrr_at_20
      value: 23.398
    - type: mrr_at_3
      value: 20.569000000000003
    - type: mrr_at_5
      value: 21.776999999999997
    - type: ndcg_at_1
      value: 17.071
    - type: ndcg_at_10
      value: 24.262
    - type: ndcg_at_100
      value: 29.217
    - type: ndcg_at_1000
      value: 32.133
    - type: ndcg_at_20
      value: 25.679000000000002
    - type: ndcg_at_3
      value: 19.844
    - type: ndcg_at_5
      value: 21.712
    - type: precision_at_1
      value: 17.071
    - type: precision_at_10
      value: 4.198
    - type: precision_at_100
      value: 0.765
    - type: precision_at_1000
      value: 0.11199999999999999
    - type: precision_at_20
      value: 2.481
    - type: precision_at_3
      value: 8.613
    - type: precision_at_5
      value: 6.287
    - type: recall_at_1
      value: 14.875
    - type: recall_at_10
      value: 33.915
    - type: recall_at_100
      value: 56.513000000000005
    - type: recall_at_1000
      value: 77.737
    - type: recall_at_20
      value: 39.047
    - type: recall_at_3
      value: 22.017999999999997
    - type: recall_at_5
      value: 26.514
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWebmastersRetrieval
      type: mteb/cqadupstack-webmasters
      config: default
      split: test
      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
    metrics:
    - type: map_at_1
      value: 16.02
    - type: map_at_10
      value: 21.43
    - type: map_at_100
      value: 22.468
    - type: map_at_1000
      value: 22.659000000000002
    - type: map_at_20
      value: 21.926000000000002
    - type: map_at_3
      value: 19.258
    - type: map_at_5
      value: 20.405
    - type: mrr_at_1
      value: 19.564999999999998
    - type: mrr_at_10
      value: 25.063999999999997
    - type: mrr_at_100
      value: 25.918999999999997
    - type: mrr_at_1000
      value: 26.007
    - type: mrr_at_20
      value: 25.490000000000002
    - type: mrr_at_3
      value: 22.727
    - type: mrr_at_5
      value: 23.992
    - type: ndcg_at_1
      value: 19.564999999999998
    - type: ndcg_at_10
      value: 25.575
    - type: ndcg_at_100
      value: 30.464999999999996
    - type: ndcg_at_1000
      value: 34.131
    - type: ndcg_at_20
      value: 27.119
    - type: ndcg_at_3
      value: 21.607000000000003
    - type: ndcg_at_5
      value: 23.331
    - type: precision_at_1
      value: 19.564999999999998
    - type: precision_at_10
      value: 4.822
    - type: precision_at_100
      value: 0.98
    - type: precision_at_1000
      value: 0.196
    - type: precision_at_20
      value: 3.0140000000000002
    - type: precision_at_3
      value: 10.079
    - type: precision_at_5
      value: 7.51
    - type: recall_at_1
      value: 16.02
    - type: recall_at_10
      value: 34.215
    - type: recall_at_100
      value: 57.220000000000006
    - type: recall_at_1000
      value: 81.721
    - type: recall_at_20
      value: 40.169
    - type: recall_at_3
      value: 22.289
    - type: recall_at_5
      value: 26.856
  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackWordpressRetrieval
      type: mteb/cqadupstack-wordpress
      config: default
      split: test
      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
    metrics:
    - type: map_at_1
      value: 10.173
    - type: map_at_10
      value: 15.528
    - type: map_at_100
      value: 16.470000000000002
    - type: map_at_1000
      value: 16.566
    - type: map_at_20
      value: 15.967999999999998
    - type: map_at_3
      value: 13.902999999999999
    - type: map_at_5
      value: 14.774000000000001
    - type: mrr_at_1
      value: 11.275
    - type: mrr_at_10
      value: 16.659
    - type: mrr_at_100
      value: 17.637
    - type: mrr_at_1000
      value: 17.723
    - type: mrr_at_20
      value: 17.158
    - type: mrr_at_3
      value: 15.065000000000001
    - type: mrr_at_5
      value: 15.943
    - type: ndcg_at_1
      value: 11.275
    - type: ndcg_at_10
      value: 18.825
    - type: ndcg_at_100
      value: 23.985
    - type: ndcg_at_1000
      value: 26.927
    - type: ndcg_at_20
      value: 20.462
    - type: ndcg_at_3
      value: 15.519
    - type: ndcg_at_5
      value: 17.058
    - type: precision_at_1
      value: 11.275
    - type: precision_at_10
      value: 3.179
    - type: precision_at_100
      value: 0.627
    - type: precision_at_1000
      value: 0.094
    - type: precision_at_20
      value: 1.978
    - type: precision_at_3
      value: 6.839
    - type: precision_at_5
      value: 4.9910000000000005
    - type: recall_at_1
      value: 10.173
    - type: recall_at_10
      value: 27.994000000000003
    - type: recall_at_100
      value: 52.418
    - type: recall_at_1000
      value: 75.36699999999999
    - type: recall_at_20
      value: 34.184
    - type: recall_at_3
      value: 19.082
    - type: recall_at_5
      value: 22.807
  - task:
      type: Retrieval
    dataset:
      name: MTEB ClimateFEVER
      type: mteb/climate-fever
      config: default
      split: test
      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
    metrics:
    - type: map_at_1
      value: 7.394
    - type: map_at_10
      value: 12.179
    - type: map_at_100
      value: 13.644
    - type: map_at_1000
      value: 13.821
    - type: map_at_20
      value: 12.969
    - type: map_at_3
      value: 10.177
    - type: map_at_5
      value: 11.155
    - type: mrr_at_1
      value: 15.961
    - type: mrr_at_10
      value: 24.118000000000002
    - type: mrr_at_100
      value: 25.318
    - type: mrr_at_1000
      value: 25.384
    - type: mrr_at_20
      value: 24.911
    - type: mrr_at_3
      value: 21.151
    - type: mrr_at_5
      value: 22.731
    - type: ndcg_at_1
      value: 15.961
    - type: ndcg_at_10
      value: 17.77
    - type: ndcg_at_100
      value: 24.282
    - type: ndcg_at_1000
      value: 27.788
    - type: ndcg_at_20
      value: 20.345
    - type: ndcg_at_3
      value: 13.996
    - type: ndcg_at_5
      value: 15.277
    - type: precision_at_1
      value: 15.961
    - type: precision_at_10
      value: 5.629
    - type: precision_at_100
      value: 1.243
    - type: precision_at_1000
      value: 0.188
    - type: precision_at_20
      value: 3.8830000000000005
    - type: precision_at_3
      value: 10.228
    - type: precision_at_5
      value: 8.065
    - type: recall_at_1
      value: 7.394
    - type: recall_at_10
      value: 22.037000000000003
    - type: recall_at_100
      value: 44.823
    - type: recall_at_1000
      value: 64.782
    - type: recall_at_20
      value: 29.416999999999998
    - type: recall_at_3
      value: 12.931999999999999
    - type: recall_at_5
      value: 16.392
  - task:
      type: Retrieval
    dataset:
      name: MTEB DBPedia
      type: mteb/dbpedia
      config: default
      split: test
      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
    metrics:
    - type: map_at_1
      value: 4.22
    - type: map_at_10
      value: 9.109
    - type: map_at_100
      value: 12.520999999999999
    - type: map_at_1000
      value: 13.461
    - type: map_at_20
      value: 10.374
    - type: map_at_3
      value: 6.524000000000001
    - type: map_at_5
      value: 7.664999999999999
    - type: mrr_at_1
      value: 34.75
    - type: mrr_at_10
      value: 46.822
    - type: mrr_at_100
      value: 47.501
    - type: mrr_at_1000
      value: 47.546
    - type: mrr_at_20
      value: 47.246
    - type: mrr_at_3
      value: 43.875
    - type: mrr_at_5
      value: 45.637
    - type: ndcg_at_1
      value: 25.874999999999996
    - type: ndcg_at_10
      value: 21.938
    - type: ndcg_at_100
      value: 24.924
    - type: ndcg_at_1000
      value: 31.627
    - type: ndcg_at_20
      value: 21.627
    - type: ndcg_at_3
      value: 23.132
    - type: ndcg_at_5
      value: 22.553
    - type: precision_at_1
      value: 34.75
    - type: precision_at_10
      value: 18.65
    - type: precision_at_100
      value: 5.862
    - type: precision_at_1000
      value: 1.348
    - type: precision_at_20
      value: 13.750000000000002
    - type: precision_at_3
      value: 27.333000000000002
    - type: precision_at_5
      value: 24.05
    - type: recall_at_1
      value: 4.22
    - type: recall_at_10
      value: 14.191
    - type: recall_at_100
      value: 31.192999999999998
    - type: recall_at_1000
      value: 53.517
    - type: recall_at_20
      value: 18.516
    - type: recall_at_3
      value: 8.036
    - type: recall_at_5
      value: 10.329
  - task:
      type: Classification
    dataset:
      name: MTEB EmotionClassification
      type: mteb/emotion
      config: default
      split: test
      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
    metrics:
    - type: accuracy
      value: 39.184999999999995
    - type: f1
      value: 35.27301038035798
  - task:
      type: Classification
    dataset:
      name: MTEB ImdbClassification
      type: mteb/imdb
      config: default
      split: test
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
    metrics:
    - type: accuracy
      value: 65.1424
    - type: ap
      value: 60.060650493494705
    - type: f1
      value: 64.97836345253516
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: mteb/mtop_domain
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 89.27496580027359
    - type: f1
      value: 88.46317641931785
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (en)
      type: mteb/mtop_intent
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 65.35567715458276
    - type: f1
      value: 46.496133882315355
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: mteb/amazon_massive_intent
      config: en
      split: test
      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
    metrics:
    - type: accuracy
      value: 65.31943510423672
    - type: f1
      value: 63.99472103750694
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (en)
      type: mteb/amazon_massive_scenario
      config: en
      split: test
      revision: 7d571f92784cd94a019292a1f45445077d0ef634
    metrics:
    - type: accuracy
      value: 70.51445864156018
    - type: f1
      value: 69.5241099650794
  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringP2P
      type: mteb/medrxiv-clustering-p2p
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
    metrics:
    - type: v_measure
      value: 31.419094146071636
    - type: v_measures
      value:
      - 0.3020555490758911
      - 0.2938404993041935
      - 0.31003486442397693
      - 0.29994028507254
      - 0.3117838741396249
      - 0.33398660039531675
      - 0.3256932743486633
      - 0.3333149476944512
      - 0.31390791542085783
      - 0.31735160473164803
      - 0.3020555490758911
      - 0.2938404993041935
      - 0.31003486442397693
      - 0.29994028507254
      - 0.3117838741396249
      - 0.33398660039531675
      - 0.3256932743486633
      - 0.3333149476944512
      - 0.31390791542085783
      - 0.31735160473164803
      - 0.3020555490758911
      - 0.2938404993041935
      - 0.31003486442397693
      - 0.29994028507254
      - 0.3117838741396249
      - 0.33398660039531675
      - 0.3256932743486633
      - 0.3333149476944512
      - 0.31390791542085783
      - 0.31735160473164803
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  - task:
      type: Clustering
    dataset:
      name: MTEB MedrxivClusteringS2S
      type: mteb/medrxiv-clustering-s2s
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
    metrics:
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      value: 27.139470452055658
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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: 29.568052227516432
    - type: mrr
      value: 30.428712172981818
  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClustering
      type: mteb/reddit-clustering
      config: default
      split: test
      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
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      value: 39.24416138727274
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  - task:
      type: Clustering
    dataset:
      name: MTEB RedditClusteringP2P
      type: mteb/reddit-clustering-p2p
      config: default
      split: test
      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
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      value: 52.2014890689022
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  - task:
      type: STS
    dataset:
      name: MTEB SICK-R
      type: mteb/sickr-sts
      config: default
      split: test
      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
    metrics:
    - type: cos_sim_pearson
      value: 77.49732285023127
    - type: cos_sim_spearman
      value: 69.06853511870162
    - type: euclidean_pearson
      value: 73.63802461551214
    - type: euclidean_spearman
      value: 68.89675389831514
    - type: manhattan_pearson
      value: 73.31463476887929
    - type: manhattan_spearman
      value: 68.62065836256522
  - task:
      type: STS
    dataset:
      name: MTEB STS12
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    metrics:
    - type: cos_sim_pearson
      value: 79.30725406004984
    - type: cos_sim_spearman
      value: 71.77933625004815
    - type: euclidean_pearson
      value: 75.6716433687837
    - type: euclidean_spearman
      value: 71.29004792199038
    - type: manhattan_pearson
      value: 75.71992020594199
    - type: manhattan_spearman
      value: 71.32910104106817
  - task:
      type: STS
    dataset:
      name: MTEB STS13
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    metrics:
    - type: cos_sim_pearson
      value: 76.48949837438562
    - type: cos_sim_spearman
      value: 77.70387570173884
    - type: euclidean_pearson
      value: 77.31697136821097
    - type: euclidean_spearman
      value: 77.7725127232427
    - type: manhattan_pearson
      value: 77.2104513638156
    - type: manhattan_spearman
      value: 77.6662508639199
  - task:
      type: STS
    dataset:
      name: MTEB STS14
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    metrics:
    - type: cos_sim_pearson
      value: 77.92186146745203
    - type: cos_sim_spearman
      value: 74.03500111217282
    - type: euclidean_pearson
      value: 76.92245132110358
    - type: euclidean_spearman
      value: 74.1163537497533
    - type: manhattan_pearson
      value: 76.7405912634287
    - type: manhattan_spearman
      value: 74.00559912577475
  - task:
      type: STS
    dataset:
      name: MTEB STS15
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    metrics:
    - type: cos_sim_pearson
      value: 82.41755953814916
    - type: cos_sim_spearman
      value: 83.12590620595532
    - type: euclidean_pearson
      value: 82.81061023887204
    - type: euclidean_spearman
      value: 83.22204855595223
    - type: manhattan_pearson
      value: 82.69802515552313
    - type: manhattan_spearman
      value: 83.09996325139677
  - task:
      type: STS
    dataset:
      name: MTEB STS16
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    metrics:
    - type: cos_sim_pearson
      value: 77.75524761527194
    - type: cos_sim_spearman
      value: 78.87593181990188
    - type: euclidean_pearson
      value: 78.55191677073188
    - type: euclidean_spearman
      value: 78.92172836212852
    - type: manhattan_pearson
      value: 78.36496155482094
    - type: manhattan_spearman
      value: 78.67446213683105
  - 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: 84.7638229493128
    - type: cos_sim_spearman
      value: 85.55048917425349
    - type: euclidean_pearson
      value: 84.8901462981343
    - type: euclidean_spearman
      value: 85.10066833018679
    - type: manhattan_pearson
      value: 84.74064489630906
    - type: manhattan_spearman
      value: 85.03532091650423
  - 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: 63.74800563207841
    - type: cos_sim_spearman
      value: 65.54768610942277
    - type: euclidean_pearson
      value: 65.832924763177
    - type: euclidean_spearman
      value: 65.67977634984801
    - type: manhattan_pearson
      value: 66.04809976105817
    - type: manhattan_spearman
      value: 65.8551641921871
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmark
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    metrics:
    - type: cos_sim_pearson
      value: 79.42910915029356
    - type: cos_sim_spearman
      value: 78.93487000382834
    - type: euclidean_pearson
      value: 79.97058072370304
    - type: euclidean_spearman
      value: 79.02999975191632
    - type: manhattan_pearson
      value: 79.75656714948262
    - type: manhattan_spearman
      value: 78.82176824285669
  - task:
      type: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    metrics:
    - type: map
      value: 74.6588967461659
    - type: mrr
      value: 91.90398381574852
  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
    metrics:
    - type: cos_sim_accuracy
      value: 99.7960396039604
    - type: cos_sim_ap
      value: 94.40352134094806
    - type: cos_sim_f1
      value: 89.42505133470226
    - type: cos_sim_precision
      value: 91.87763713080169
    - type: cos_sim_recall
      value: 87.1
    - type: dot_accuracy
      value: 99.61980198019802
    - type: dot_ap
      value: 86.92800137802539
    - type: dot_f1
      value: 80.60606060606061
    - type: dot_precision
      value: 81.42857142857143
    - type: dot_recall
      value: 79.80000000000001
    - type: euclidean_accuracy
      value: 99.7910891089109
    - type: euclidean_ap
      value: 94.1534710913129
    - type: euclidean_f1
      value: 89.18232605383443
    - type: euclidean_precision
      value: 90.60887512899896
    - type: euclidean_recall
      value: 87.8
    - type: manhattan_accuracy
      value: 99.79207920792079
    - type: manhattan_ap
      value: 94.24718696087999
    - type: manhattan_f1
      value: 89.0852390852391
    - type: manhattan_precision
      value: 92.74891774891775
    - type: manhattan_recall
      value: 85.7
    - type: max_accuracy
      value: 99.7960396039604
    - type: max_ap
      value: 94.40352134094806
    - type: max_f1
      value: 89.42505133470226
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
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  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
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      value: 34.30506603469398
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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: 45.986302830652576
    - type: mrr
      value: 46.73859126984127
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEval
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
    metrics:
    - type: cos_sim_pearson
      value: 31.681504542251222
    - type: cos_sim_spearman
      value: 30.52300975318605
    - type: dot_pearson
      value: 30.89258938963458
    - type: dot_spearman
      value: 30.789407411509075
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
    metrics:
    - type: accuracy
      value: 63.916015625
    - type: ap
      value: 11.079823797650405
    - type: f1
      value: 48.9073889627104
  - task:
      type: Classification
    dataset:
      name: MTEB TweetSentimentExtractionClassification
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    metrics:
    - type: accuracy
      value: 54.80192416525185
    - type: f1
      value: 55.06729742763208
  - task:
      type: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: v_measure
      value: 30.428269625267067
    - type: v_measures
      value:
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  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    metrics:
    - type: cos_sim_accuracy
      value: 83.04226023722954
    - type: cos_sim_ap
      value: 63.85841588156352
    - type: cos_sim_f1
      value: 60.82009954965631
    - type: cos_sim_precision
      value: 55.2065404475043
    - type: cos_sim_recall
      value: 67.70448548812665
    - type: dot_accuracy
      value: 78.91756571496693
    - type: dot_ap
      value: 46.39288120938224
    - type: dot_f1
      value: 49.36296847391426
    - type: dot_precision
      value: 38.11575470343243
    - type: dot_recall
      value: 70.0263852242744
    - type: euclidean_accuracy
      value: 83.18531322644095
    - type: euclidean_ap
      value: 64.47939517179049
    - type: euclidean_f1
      value: 61.326567596955414
    - type: euclidean_precision
      value: 56.56340539335859
    - type: euclidean_recall
      value: 66.96569920844327
    - type: manhattan_accuracy
      value: 82.9826548250581
    - type: manhattan_ap
      value: 64.01165035368786
    - type: manhattan_f1
      value: 60.99290780141844
    - type: manhattan_precision
      value: 54.52088962793597
    - type: manhattan_recall
      value: 69.2084432717678
    - type: max_accuracy
      value: 83.18531322644095
    - type: max_ap
      value: 64.47939517179049
    - type: max_f1
      value: 61.326567596955414
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterURLCorpus
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cos_sim_accuracy
      value: 87.53832421314084
    - type: cos_sim_ap
      value: 82.94679942153577
    - type: cos_sim_f1
      value: 74.90408975750995
    - type: cos_sim_precision
      value: 70.67340527250376
    - type: cos_sim_recall
      value: 79.6735448105944
    - type: dot_accuracy
      value: 85.2214072262972
    - type: dot_ap
      value: 76.39891716014382
    - type: dot_f1
      value: 70.62225554246545
    - type: dot_precision
      value: 65.83904679491447
    - type: dot_recall
      value: 76.15491222667077
    - type: euclidean_accuracy
      value: 87.55190747855785
    - type: euclidean_ap
      value: 82.9537174035843
    - type: euclidean_f1
      value: 75.01588844442783
    - type: euclidean_precision
      value: 72.90894557081607
    - type: euclidean_recall
      value: 77.24822913458577
    - type: manhattan_accuracy
      value: 87.5499670120697
    - type: manhattan_ap
      value: 82.85971137826064
    - type: manhattan_f1
      value: 74.86758672137262
    - type: manhattan_precision
      value: 72.60888438720879
    - type: manhattan_recall
      value: 77.27132737911919
    - type: max_accuracy
      value: 87.55190747855785
    - type: max_ap
      value: 82.9537174035843
    - type: max_f1
      value: 75.01588844442783
---
# Kyurem

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [TaylorAI/bge-micro](https://huggingface.co/TaylorAI/bge-micro) as a base.

### Models Merged

The following models were included in the merge:
* [Mihaiii/Wartortle](https://huggingface.co/Mihaiii/Wartortle)
* [TaylorAI/bge-micro-v2](https://huggingface.co/TaylorAI/bge-micro-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Mihaiii/Wartortle
  - model: TaylorAI/bge-micro-v2
  - model: TaylorAI/bge-micro
merge_method: model_stock
base_model: TaylorAI/bge-micro
```
