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metadata
tags:
  - mteb
model-index:
  - name: fasttext_main
    results:
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB AmazonCounterfactualClassification (en)
          config: en
          split: test
          revision: e8379541af4e31359cca9fbcf4b00f2671dba205
        metrics:
          - type: accuracy
            value: 73.85074626865674
          - type: ap
            value: 37.07037696888039
          - type: f1
            value: 68.00345425893465
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB AmazonPolarityClassification
          config: default
          split: test
          revision: e2d317d38cd51312af73b3d32a06d1a08b442046
        metrics:
          - type: accuracy
            value: 63.018924999999996
          - type: ap
            value: 58.9270716077803
          - type: f1
            value: 62.05683397387594
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB AmazonReviewsClassification (en)
          config: en
          split: test
          revision: 1399c76144fd37290681b995c656ef9b2e06e26d
        metrics:
          - type: accuracy
            value: 31.145999999999997
          - type: f1
            value: 30.541099103925795
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB ArguAna
          config: default
          split: test
          revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
        metrics:
          - type: map_at_1
            value: 13.94
          - type: map_at_10
            value: 23.919
          - type: map_at_100
            value: 24.977
          - type: map_at_1000
            value: 25.047000000000004
          - type: map_at_3
            value: 20.816000000000003
          - type: map_at_5
            value: 22.608
          - type: mrr_at_1
            value: 14.296000000000001
          - type: mrr_at_10
            value: 24.061
          - type: mrr_at_100
            value: 25.125999999999998
          - type: mrr_at_1000
            value: 25.196
          - type: mrr_at_3
            value: 20.934
          - type: mrr_at_5
            value: 22.758
          - type: ndcg_at_1
            value: 13.94
          - type: ndcg_at_10
            value: 29.543000000000003
          - type: ndcg_at_100
            value: 35.086
          - type: ndcg_at_1000
            value: 37.156
          - type: ndcg_at_3
            value: 23.169
          - type: ndcg_at_5
            value: 26.395000000000003
          - type: precision_at_1
            value: 13.94
          - type: precision_at_10
            value: 4.7509999999999994
          - type: precision_at_100
            value: 0.743
          - type: precision_at_1000
            value: 0.091
          - type: precision_at_3
            value: 10.005
          - type: precision_at_5
            value: 7.568
          - type: recall_at_1
            value: 13.94
          - type: recall_at_10
            value: 47.510999999999996
          - type: recall_at_100
            value: 74.324
          - type: recall_at_1000
            value: 91.11
          - type: recall_at_3
            value: 30.014000000000003
          - type: recall_at_5
            value: 37.838
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB ArxivClusteringP2P
          config: default
          split: test
          revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
        metrics:
          - type: v_measure
            value: 36.773959267301734
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB ArxivClusteringS2S
          config: default
          split: test
          revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
        metrics:
          - type: v_measure
            value: 27.53911280726287
      - task:
          type: Reranking
        dataset:
          type: None
          name: MTEB AskUbuntuDupQuestions
          config: default
          split: test
          revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
        metrics:
          - type: map
            value: 50.148759855706025
          - type: mrr
            value: 63.59814008705976
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB BIOSSES
          config: default
          split: test
          revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
        metrics:
          - type: cos_sim_pearson
            value: 60.96274580639198
          - type: cos_sim_spearman
            value: 62.97673617247494
          - type: euclidean_pearson
            value: 62.52462544675977
          - type: euclidean_spearman
            value: 62.97673617247494
          - type: manhattan_pearson
            value: 63.39097043635172
          - type: manhattan_spearman
            value: 64.39182865728104
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB Banking77Classification
          config: default
          split: test
          revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
        metrics:
          - type: accuracy
            value: 60.72727272727272
          - type: f1
            value: 59.08009396100342
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB BiorxivClusteringP2P
          config: default
          split: test
          revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
        metrics:
          - type: v_measure
            value: 34.068622978919585
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB BiorxivClusteringS2S
          config: default
          split: test
          revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
        metrics:
          - type: v_measure
            value: 24.801372128107964
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackAndroidRetrieval
          config: default
          split: test
          revision: f46a197baaae43b4f621051089b82a364682dfeb
        metrics:
          - type: map_at_1
            value: 14.469999999999999
          - type: map_at_10
            value: 20.473
          - type: map_at_100
            value: 21.379
          - type: map_at_1000
            value: 21.522
          - type: map_at_3
            value: 18.603
          - type: map_at_5
            value: 19.814
          - type: mrr_at_1
            value: 19.313
          - type: mrr_at_10
            value: 25.483
          - type: mrr_at_100
            value: 26.249
          - type: mrr_at_1000
            value: 26.338
          - type: mrr_at_3
            value: 23.748
          - type: mrr_at_5
            value: 24.914
          - type: ndcg_at_1
            value: 19.313
          - type: ndcg_at_10
            value: 24.507
          - type: ndcg_at_100
            value: 29.009
          - type: ndcg_at_1000
            value: 32.4
          - type: ndcg_at_3
            value: 21.902
          - type: ndcg_at_5
            value: 23.379
          - type: precision_at_1
            value: 19.313
          - type: precision_at_10
            value: 4.893
          - type: precision_at_100
            value: 0.8999999999999999
          - type: precision_at_1000
            value: 0.152
          - type: precision_at_3
            value: 11.206000000000001
          - type: precision_at_5
            value: 8.24
          - type: recall_at_1
            value: 14.469999999999999
          - type: recall_at_10
            value: 31.205
          - type: recall_at_100
            value: 52.23100000000001
          - type: recall_at_1000
            value: 76.144
          - type: recall_at_3
            value: 22.975
          - type: recall_at_5
            value: 27.515
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackEnglishRetrieval
          config: default
          split: test
          revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
        metrics:
          - type: map_at_1
            value: 13.507
          - type: map_at_10
            value: 18.556
          - type: map_at_100
            value: 19.317999999999998
          - type: map_at_1000
            value: 19.426
          - type: map_at_3
            value: 17.037
          - type: map_at_5
            value: 17.949
          - type: mrr_at_1
            value: 17.261000000000003
          - type: mrr_at_10
            value: 22.595000000000002
          - type: mrr_at_100
            value: 23.305
          - type: mrr_at_1000
            value: 23.380000000000003
          - type: mrr_at_3
            value: 21.072
          - type: mrr_at_5
            value: 21.97
          - type: ndcg_at_1
            value: 17.261000000000003
          - type: ndcg_at_10
            value: 21.859
          - type: ndcg_at_100
            value: 25.531
          - type: ndcg_at_1000
            value: 28.402
          - type: ndcg_at_3
            value: 19.354
          - type: ndcg_at_5
            value: 20.613
          - type: precision_at_1
            value: 17.261000000000003
          - type: precision_at_10
            value: 4.159
          - type: precision_at_100
            value: 0.757
          - type: precision_at_1000
            value: 0.124
          - type: precision_at_3
            value: 9.447999999999999
          - type: precision_at_5
            value: 6.854
          - type: recall_at_1
            value: 13.507
          - type: recall_at_10
            value: 27.677000000000003
          - type: recall_at_100
            value: 43.657000000000004
          - type: recall_at_1000
            value: 63.865
          - type: recall_at_3
            value: 20.483
          - type: recall_at_5
            value: 23.78
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackGamingRetrieval
          config: default
          split: test
          revision: 4885aa143210c98657558c04aaf3dc47cfb54340
        metrics:
          - type: map_at_1
            value: 19.11
          - type: map_at_10
            value: 25.22
          - type: map_at_100
            value: 26.138
          - type: map_at_1000
            value: 26.229000000000003
          - type: map_at_3
            value: 23.284
          - type: map_at_5
            value: 24.305
          - type: mrr_at_1
            value: 22.131999999999998
          - type: mrr_at_10
            value: 28.08
          - type: mrr_at_100
            value: 28.912
          - type: mrr_at_1000
            value: 28.98
          - type: mrr_at_3
            value: 26.217000000000002
          - type: mrr_at_5
            value: 27.217000000000002
          - type: ndcg_at_1
            value: 22.131999999999998
          - type: ndcg_at_10
            value: 29.041
          - type: ndcg_at_100
            value: 33.681
          - type: ndcg_at_1000
            value: 36.162
          - type: ndcg_at_3
            value: 25.261
          - type: ndcg_at_5
            value: 26.938000000000002
          - type: precision_at_1
            value: 22.131999999999998
          - type: precision_at_10
            value: 4.715
          - type: precision_at_100
            value: 0.769
          - type: precision_at_1000
            value: 0.106
          - type: precision_at_3
            value: 11.181000000000001
          - type: precision_at_5
            value: 7.762
          - type: recall_at_1
            value: 19.11
          - type: recall_at_10
            value: 38.085
          - type: recall_at_100
            value: 59.207
          - type: recall_at_1000
            value: 77.718
          - type: recall_at_3
            value: 27.722
          - type: recall_at_5
            value: 31.919999999999998
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackGisRetrieval
          config: default
          split: test
          revision: 5003b3064772da1887988e05400cf3806fe491f2
        metrics:
          - type: map_at_1
            value: 5.970000000000001
          - type: map_at_10
            value: 8.695
          - type: map_at_100
            value: 9.261
          - type: map_at_1000
            value: 9.347
          - type: map_at_3
            value: 7.516
          - type: map_at_5
            value: 8.225999999999999
          - type: mrr_at_1
            value: 6.554
          - type: mrr_at_10
            value: 9.503
          - type: mrr_at_100
            value: 10.09
          - type: mrr_at_1000
            value: 10.174
          - type: mrr_at_3
            value: 8.267
          - type: mrr_at_5
            value: 9.008
          - type: ndcg_at_1
            value: 6.554
          - type: ndcg_at_10
            value: 10.626
          - type: ndcg_at_100
            value: 13.893
          - type: ndcg_at_1000
            value: 16.723
          - type: ndcg_at_3
            value: 8.246
          - type: ndcg_at_5
            value: 9.472999999999999
          - type: precision_at_1
            value: 6.554
          - type: precision_at_10
            value: 1.831
          - type: precision_at_100
            value: 0.372
          - type: precision_at_1000
            value: 0.065
          - type: precision_at_3
            value: 3.578
          - type: precision_at_5
            value: 2.825
          - type: recall_at_1
            value: 5.970000000000001
          - type: recall_at_10
            value: 15.962000000000002
          - type: recall_at_100
            value: 31.962000000000003
          - type: recall_at_1000
            value: 54.581
          - type: recall_at_3
            value: 9.464
          - type: recall_at_5
            value: 12.43
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackMathematicaRetrieval
          config: default
          split: test
          revision: 90fceea13679c63fe563ded68f3b6f06e50061de
        metrics:
          - type: map_at_1
            value: 3.946
          - type: map_at_10
            value: 6.2010000000000005
          - type: map_at_100
            value: 6.676
          - type: map_at_1000
            value: 6.7669999999999995
          - type: map_at_3
            value: 5.364
          - type: map_at_5
            value: 5.835
          - type: mrr_at_1
            value: 5.1
          - type: mrr_at_10
            value: 7.815999999999999
          - type: mrr_at_100
            value: 8.38
          - type: mrr_at_1000
            value: 8.466
          - type: mrr_at_3
            value: 6.675000000000001
          - type: mrr_at_5
            value: 7.3469999999999995
          - type: ndcg_at_1
            value: 5.1
          - type: ndcg_at_10
            value: 7.947
          - type: ndcg_at_100
            value: 10.811
          - type: ndcg_at_1000
            value: 13.614999999999998
          - type: ndcg_at_3
            value: 6.172
          - type: ndcg_at_5
            value: 7.049999999999999
          - type: precision_at_1
            value: 5.1
          - type: precision_at_10
            value: 1.555
          - type: precision_at_100
            value: 0.35200000000000004
          - type: precision_at_1000
            value: 0.06899999999999999
          - type: precision_at_3
            value: 2.902
          - type: precision_at_5
            value: 2.363
          - type: recall_at_1
            value: 3.946
          - type: recall_at_10
            value: 11.795
          - type: recall_at_100
            value: 25.183
          - type: recall_at_1000
            value: 46.206
          - type: recall_at_3
            value: 7.19
          - type: recall_at_5
            value: 9.251
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackPhysicsRetrieval
          config: default
          split: test
          revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
        metrics:
          - type: map_at_1
            value: 12.08
          - type: map_at_10
            value: 16.421
          - type: map_at_100
            value: 17.272000000000002
          - type: map_at_1000
            value: 17.391000000000002
          - type: map_at_3
            value: 14.793000000000001
          - type: map_at_5
            value: 15.648000000000001
          - type: mrr_at_1
            value: 14.726
          - type: mrr_at_10
            value: 19.676
          - type: mrr_at_100
            value: 20.461
          - type: mrr_at_1000
            value: 20.546
          - type: mrr_at_3
            value: 17.902
          - type: mrr_at_5
            value: 18.811
          - type: ndcg_at_1
            value: 14.726
          - type: ndcg_at_10
            value: 19.656000000000002
          - type: ndcg_at_100
            value: 24.043999999999997
          - type: ndcg_at_1000
            value: 27.209
          - type: ndcg_at_3
            value: 16.619
          - type: ndcg_at_5
            value: 17.959
          - type: precision_at_1
            value: 14.726
          - type: precision_at_10
            value: 3.6769999999999996
          - type: precision_at_100
            value: 0.724
          - type: precision_at_1000
            value: 0.117
          - type: precision_at_3
            value: 7.732
          - type: precision_at_5
            value: 5.736
          - type: recall_at_1
            value: 12.08
          - type: recall_at_10
            value: 26.334000000000003
          - type: recall_at_100
            value: 45.854
          - type: recall_at_1000
            value: 68.589
          - type: recall_at_3
            value: 17.773
          - type: recall_at_5
            value: 21.113
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackProgrammersRetrieval
          config: default
          split: test
          revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
        metrics:
          - type: map_at_1
            value: 8.486
          - type: map_at_10
            value: 11.785
          - type: map_at_100
            value: 12.572
          - type: map_at_1000
            value: 12.681999999999999
          - type: map_at_3
            value: 10.439
          - type: map_at_5
            value: 11.227
          - type: mrr_at_1
            value: 10.502
          - type: mrr_at_10
            value: 14.255999999999998
          - type: mrr_at_100
            value: 15.068999999999999
          - type: mrr_at_1000
            value: 15.15
          - type: mrr_at_3
            value: 12.690000000000001
          - type: mrr_at_5
            value: 13.678
          - type: ndcg_at_1
            value: 10.502
          - type: ndcg_at_10
            value: 14.369000000000002
          - type: ndcg_at_100
            value: 18.807
          - type: ndcg_at_1000
            value: 21.998
          - type: ndcg_at_3
            value: 11.706
          - type: ndcg_at_5
            value: 13.114999999999998
          - type: precision_at_1
            value: 10.502
          - type: precision_at_10
            value: 2.705
          - type: precision_at_100
            value: 0.606
          - type: precision_at_1000
            value: 0.106
          - type: precision_at_3
            value: 5.479
          - type: precision_at_5
            value: 4.338
          - type: recall_at_1
            value: 8.486
          - type: recall_at_10
            value: 19.895
          - type: recall_at_100
            value: 40.233999999999995
          - type: recall_at_1000
            value: 63.502
          - type: recall_at_3
            value: 12.934000000000001
          - type: recall_at_5
            value: 16.227
      - task:
          type: Retrieval
        dataset:
          type: mteb/cqadupstack
          name: MTEB CQADupstackRetrieval
          config: default
          split: test
          revision: 4885aa143210c98657558c04aaf3dc47cfb54340
        metrics:
          - type: map_at_1
            value: 9.86625
          - type: map_at_10
            value: 13.610333333333333
          - type: map_at_100
            value: 14.300916666666666
          - type: map_at_1000
            value: 14.408333333333335
          - type: map_at_3
            value: 12.315333333333333
          - type: map_at_5
            value: 13.012833333333331
          - type: mrr_at_1
            value: 12.075833333333334
          - type: mrr_at_10
            value: 16.16466666666667
          - type: mrr_at_100
            value: 16.834999999999997
          - type: mrr_at_1000
            value: 16.91916666666667
          - type: mrr_at_3
            value: 14.80633333333333
          - type: mrr_at_5
            value: 15.5455
          - type: ndcg_at_1
            value: 12.075833333333334
          - type: ndcg_at_10
            value: 16.30866666666667
          - type: ndcg_at_100
            value: 19.96975
          - type: ndcg_at_1000
            value: 22.941499999999998
          - type: ndcg_at_3
            value: 13.900000000000002
          - type: ndcg_at_5
            value: 14.974749999999998
          - type: precision_at_1
            value: 12.075833333333334
          - type: precision_at_10
            value: 2.990333333333334
          - type: precision_at_100
            value: 0.5833333333333335
          - type: precision_at_1000
            value: 0.10024999999999999
          - type: precision_at_3
            value: 6.517250000000001
          - type: precision_at_5
            value: 4.741833333333333
          - type: recall_at_1
            value: 9.86625
          - type: recall_at_10
            value: 21.98225
          - type: recall_at_100
            value: 39.01191666666667
          - type: recall_at_1000
            value: 61.04558333333333
          - type: recall_at_3
            value: 15.127416666666669
          - type: recall_at_5
            value: 17.91883333333333
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackStatsRetrieval
          config: default
          split: test
          revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
        metrics:
          - type: map_at_1
            value: 7.297
          - type: map_at_10
            value: 10.67
          - type: map_at_100
            value: 11.257
          - type: map_at_1000
            value: 11.328000000000001
          - type: map_at_3
            value: 9.513
          - type: map_at_5
            value: 10.184999999999999
          - type: mrr_at_1
            value: 8.741999999999999
          - type: mrr_at_10
            value: 12.423
          - type: mrr_at_100
            value: 12.989
          - type: mrr_at_1000
            value: 13.055
          - type: mrr_at_3
            value: 11.222
          - type: mrr_at_5
            value: 11.95
          - type: ndcg_at_1
            value: 8.741999999999999
          - type: ndcg_at_10
            value: 12.937000000000001
          - type: ndcg_at_100
            value: 16.055
          - type: ndcg_at_1000
            value: 18.265
          - type: ndcg_at_3
            value: 10.674999999999999
          - type: ndcg_at_5
            value: 11.82
          - type: precision_at_1
            value: 8.741999999999999
          - type: precision_at_10
            value: 2.316
          - type: precision_at_100
            value: 0.422
          - type: precision_at_1000
            value: 0.067
          - type: precision_at_3
            value: 4.9590000000000005
          - type: precision_at_5
            value: 3.681
          - type: recall_at_1
            value: 7.297
          - type: recall_at_10
            value: 18.249000000000002
          - type: recall_at_100
            value: 32.897999999999996
          - type: recall_at_1000
            value: 49.96
          - type: recall_at_3
            value: 12.025
          - type: recall_at_5
            value: 14.911
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackTexRetrieval
          config: default
          split: test
          revision: 46989137a86843e03a6195de44b09deda022eec7
        metrics:
          - type: map_at_1
            value: 4.707
          - type: map_at_10
            value: 6.880999999999999
          - type: map_at_100
            value: 7.333
          - type: map_at_1000
            value: 7.4190000000000005
          - type: map_at_3
            value: 6.099
          - type: map_at_5
            value: 6.497
          - type: mrr_at_1
            value: 6.091
          - type: mrr_at_10
            value: 8.716
          - type: mrr_at_100
            value: 9.199
          - type: mrr_at_1000
            value: 9.279
          - type: mrr_at_3
            value: 7.8229999999999995
          - type: mrr_at_5
            value: 8.277
          - type: ndcg_at_1
            value: 6.091
          - type: ndcg_at_10
            value: 8.606
          - type: ndcg_at_100
            value: 11.199
          - type: ndcg_at_1000
            value: 13.900000000000002
          - type: ndcg_at_3
            value: 7.090000000000001
          - type: ndcg_at_5
            value: 7.702000000000001
          - type: precision_at_1
            value: 6.091
          - type: precision_at_10
            value: 1.686
          - type: precision_at_100
            value: 0.359
          - type: precision_at_1000
            value: 0.06999999999999999
          - type: precision_at_3
            value: 3.4639999999999995
          - type: precision_at_5
            value: 2.581
          - type: recall_at_1
            value: 4.707
          - type: recall_at_10
            value: 12.167
          - type: recall_at_100
            value: 24.428
          - type: recall_at_1000
            value: 44.789
          - type: recall_at_3
            value: 7.775
          - type: recall_at_5
            value: 9.386999999999999
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackUnixRetrieval
          config: default
          split: test
          revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
        metrics:
          - type: map_at_1
            value: 10.186
          - type: map_at_10
            value: 13.07
          - type: map_at_100
            value: 13.654
          - type: map_at_1000
            value: 13.761000000000001
          - type: map_at_3
            value: 11.89
          - type: map_at_5
            value: 12.386999999999999
          - type: mrr_at_1
            value: 12.127
          - type: mrr_at_10
            value: 15.678
          - type: mrr_at_100
            value: 16.262
          - type: mrr_at_1000
            value: 16.361
          - type: mrr_at_3
            value: 14.396999999999998
          - type: mrr_at_5
            value: 14.887
          - type: ndcg_at_1
            value: 12.127
          - type: ndcg_at_10
            value: 15.607
          - type: ndcg_at_100
            value: 18.759999999999998
          - type: ndcg_at_1000
            value: 22.019
          - type: ndcg_at_3
            value: 13.166
          - type: ndcg_at_5
            value: 13.916999999999998
          - type: precision_at_1
            value: 12.127
          - type: precision_at_10
            value: 2.649
          - type: precision_at_100
            value: 0.473
          - type: precision_at_1000
            value: 0.08499999999999999
          - type: precision_at_3
            value: 5.908
          - type: precision_at_5
            value: 4.067
          - type: recall_at_1
            value: 10.186
          - type: recall_at_10
            value: 21.227999999999998
          - type: recall_at_100
            value: 35.812
          - type: recall_at_1000
            value: 60.436
          - type: recall_at_3
            value: 14.011999999999999
          - type: recall_at_5
            value: 16.04
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackWebmastersRetrieval
          config: default
          split: test
          revision: 160c094312a0e1facb97e55eeddb698c0abe3571
        metrics:
          - type: map_at_1
            value: 11.088000000000001
          - type: map_at_10
            value: 15.311
          - type: map_at_100
            value: 16.104
          - type: map_at_1000
            value: 16.285
          - type: map_at_3
            value: 13.911000000000001
          - type: map_at_5
            value: 14.454
          - type: mrr_at_1
            value: 14.229
          - type: mrr_at_10
            value: 18.834999999999997
          - type: mrr_at_100
            value: 19.564999999999998
          - type: mrr_at_1000
            value: 19.665
          - type: mrr_at_3
            value: 17.589
          - type: mrr_at_5
            value: 18.034
          - type: ndcg_at_1
            value: 14.229
          - type: ndcg_at_10
            value: 18.715
          - type: ndcg_at_100
            value: 22.689999999999998
          - type: ndcg_at_1000
            value: 26.351999999999997
          - type: ndcg_at_3
            value: 16.424
          - type: ndcg_at_5
            value: 16.991999999999997
          - type: precision_at_1
            value: 14.229
          - type: precision_at_10
            value: 3.794
          - type: precision_at_100
            value: 0.874
          - type: precision_at_1000
            value: 0.17099999999999999
          - type: precision_at_3
            value: 8.036999999999999
          - type: precision_at_5
            value: 5.534
          - type: recall_at_1
            value: 11.088000000000001
          - type: recall_at_10
            value: 24.603
          - type: recall_at_100
            value: 44.41
          - type: recall_at_1000
            value: 70.00800000000001
          - type: recall_at_3
            value: 17.192
          - type: recall_at_5
            value: 19.236
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB CQADupstackWordpressRetrieval
          config: default
          split: test
          revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
        metrics:
          - type: map_at_1
            value: 7.548000000000001
          - type: map_at_10
            value: 10.041
          - type: map_at_100
            value: 10.647
          - type: map_at_1000
            value: 10.743
          - type: map_at_3
            value: 9.335
          - type: map_at_5
            value: 9.626999999999999
          - type: mrr_at_1
            value: 8.133
          - type: mrr_at_10
            value: 10.915
          - type: mrr_at_100
            value: 11.539000000000001
          - type: mrr_at_1000
            value: 11.636000000000001
          - type: mrr_at_3
            value: 10.074
          - type: mrr_at_5
            value: 10.453
          - type: ndcg_at_1
            value: 8.133
          - type: ndcg_at_10
            value: 11.834
          - type: ndcg_at_100
            value: 15.157000000000002
          - type: ndcg_at_1000
            value: 18.253
          - type: ndcg_at_3
            value: 10.184999999999999
          - type: ndcg_at_5
            value: 10.739
          - type: precision_at_1
            value: 8.133
          - type: precision_at_10
            value: 1.9040000000000001
          - type: precision_at_100
            value: 0.392
          - type: precision_at_1000
            value: 0.07100000000000001
          - type: precision_at_3
            value: 4.313000000000001
          - type: precision_at_5
            value: 2.921
          - type: recall_at_1
            value: 7.548000000000001
          - type: recall_at_10
            value: 16.587
          - type: recall_at_100
            value: 32.267
          - type: recall_at_1000
            value: 56.749
          - type: recall_at_3
            value: 11.984
          - type: recall_at_5
            value: 13.216
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB ClimateFEVER
          config: default
          split: test
          revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
        metrics:
          - type: map_at_1
            value: 5.405
          - type: map_at_10
            value: 9.92
          - type: map_at_100
            value: 11.148
          - type: map_at_1000
            value: 11.315999999999999
          - type: map_at_3
            value: 8.121
          - type: map_at_5
            value: 8.985
          - type: mrr_at_1
            value: 13.16
          - type: mrr_at_10
            value: 20.937
          - type: mrr_at_100
            value: 21.97
          - type: mrr_at_1000
            value: 22.047
          - type: mrr_at_3
            value: 18.295
          - type: mrr_at_5
            value: 19.706000000000003
          - type: ndcg_at_1
            value: 13.16
          - type: ndcg_at_10
            value: 15.091
          - type: ndcg_at_100
            value: 20.957
          - type: ndcg_at_1000
            value: 24.538
          - type: ndcg_at_3
            value: 11.75
          - type: ndcg_at_5
            value: 12.851
          - type: precision_at_1
            value: 13.16
          - type: precision_at_10
            value: 5.049
          - type: precision_at_100
            value: 1.131
          - type: precision_at_1000
            value: 0.178
          - type: precision_at_3
            value: 9.034
          - type: precision_at_5
            value: 7.127
          - type: recall_at_1
            value: 5.405
          - type: recall_at_10
            value: 19.029
          - type: recall_at_100
            value: 40.198
          - type: recall_at_1000
            value: 60.731
          - type: recall_at_3
            value: 10.938
          - type: recall_at_5
            value: 14.052000000000001
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB DBPedia
          config: default
          split: test
          revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
        metrics:
          - type: map_at_1
            value: 1.8339999999999999
          - type: map_at_10
            value: 4.495
          - type: map_at_100
            value: 6.571000000000001
          - type: map_at_1000
            value: 7.219
          - type: map_at_3
            value: 3.011
          - type: map_at_5
            value: 3.7409999999999997
          - type: mrr_at_1
            value: 23
          - type: mrr_at_10
            value: 32.812999999999995
          - type: mrr_at_100
            value: 33.79
          - type: mrr_at_1000
            value: 33.853
          - type: mrr_at_3
            value: 29.875
          - type: mrr_at_5
            value: 31.624999999999996
          - type: ndcg_at_1
            value: 16.375
          - type: ndcg_at_10
            value: 13.153
          - type: ndcg_at_100
            value: 16.036
          - type: ndcg_at_1000
            value: 22.221
          - type: ndcg_at_3
            value: 14.135
          - type: ndcg_at_5
            value: 13.825999999999999
          - type: precision_at_1
            value: 23
          - type: precision_at_10
            value: 12.425
          - type: precision_at_100
            value: 4.287
          - type: precision_at_1000
            value: 0.9950000000000001
          - type: precision_at_3
            value: 17.583
          - type: precision_at_5
            value: 15.8
          - type: recall_at_1
            value: 1.8339999999999999
          - type: recall_at_10
            value: 8.286
          - type: recall_at_100
            value: 21.938
          - type: recall_at_1000
            value: 43.192
          - type: recall_at_3
            value: 3.904
          - type: recall_at_5
            value: 5.821
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB EmotionClassification
          config: default
          split: test
          revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
        metrics:
          - type: accuracy
            value: 32.895
          - type: f1
            value: 30.402766415345212
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB FEVER
          config: default
          split: test
          revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
        metrics:
          - type: map_at_1
            value: 10.581999999999999
          - type: map_at_10
            value: 15.384999999999998
          - type: map_at_100
            value: 16.173000000000002
          - type: map_at_1000
            value: 16.253
          - type: map_at_3
            value: 13.819999999999999
          - type: map_at_5
            value: 14.627
          - type: mrr_at_1
            value: 11.296000000000001
          - type: mrr_at_10
            value: 16.305
          - type: mrr_at_100
            value: 17.131
          - type: mrr_at_1000
            value: 17.205000000000002
          - type: mrr_at_3
            value: 14.655999999999999
          - type: mrr_at_5
            value: 15.512
          - type: ndcg_at_1
            value: 11.296000000000001
          - type: ndcg_at_10
            value: 18.401999999999997
          - type: ndcg_at_100
            value: 22.677
          - type: ndcg_at_1000
            value: 25.072
          - type: ndcg_at_3
            value: 15.089
          - type: ndcg_at_5
            value: 16.554
          - type: precision_at_1
            value: 11.296000000000001
          - type: precision_at_10
            value: 2.934
          - type: precision_at_100
            value: 0.524
          - type: precision_at_1000
            value: 0.075
          - type: precision_at_3
            value: 6.411
          - type: precision_at_5
            value: 4.623
          - type: recall_at_1
            value: 10.581999999999999
          - type: recall_at_10
            value: 27.061
          - type: recall_at_100
            value: 47.522999999999996
          - type: recall_at_1000
            value: 66.376
          - type: recall_at_3
            value: 17.942
          - type: recall_at_5
            value: 21.453
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB FiQA2018
          config: default
          split: test
          revision: 27a168819829fe9bcd655c2df245fb19452e8e06
        metrics:
          - type: map_at_1
            value: 4.1419999999999995
          - type: map_at_10
            value: 7.237
          - type: map_at_100
            value: 7.9670000000000005
          - type: map_at_1000
            value: 8.118
          - type: map_at_3
            value: 6.129
          - type: map_at_5
            value: 6.569
          - type: mrr_at_1
            value: 8.025
          - type: mrr_at_10
            value: 12.7
          - type: mrr_at_100
            value: 13.565
          - type: mrr_at_1000
            value: 13.679
          - type: mrr_at_3
            value: 11.06
          - type: mrr_at_5
            value: 11.824
          - type: ndcg_at_1
            value: 8.025
          - type: ndcg_at_10
            value: 10.324
          - type: ndcg_at_100
            value: 14.494000000000002
          - type: ndcg_at_1000
            value: 18.552
          - type: ndcg_at_3
            value: 8.161
          - type: ndcg_at_5
            value: 8.745
          - type: precision_at_1
            value: 8.025
          - type: precision_at_10
            value: 2.948
          - type: precision_at_100
            value: 0.7100000000000001
          - type: precision_at_1000
            value: 0.13899999999999998
          - type: precision_at_3
            value: 5.453
          - type: precision_at_5
            value: 4.105
          - type: recall_at_1
            value: 4.1419999999999995
          - type: recall_at_10
            value: 14.329
          - type: recall_at_100
            value: 31.011
          - type: recall_at_1000
            value: 56.995
          - type: recall_at_3
            value: 8.043
          - type: recall_at_5
            value: 9.777
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB HotpotQA
          config: default
          split: test
          revision: ab518f4d6fcca38d87c25209f94beba119d02014
        metrics:
          - type: map_at_1
            value: 11.296000000000001
          - type: map_at_10
            value: 15.665999999999999
          - type: map_at_100
            value: 16.337
          - type: map_at_1000
            value: 16.425
          - type: map_at_3
            value: 14.318
          - type: map_at_5
            value: 15.068000000000001
          - type: mrr_at_1
            value: 22.593
          - type: mrr_at_10
            value: 27.923
          - type: mrr_at_100
            value: 28.639
          - type: mrr_at_1000
            value: 28.708
          - type: mrr_at_3
            value: 26.349
          - type: mrr_at_5
            value: 27.282
          - type: ndcg_at_1
            value: 22.593
          - type: ndcg_at_10
            value: 20.558
          - type: ndcg_at_100
            value: 23.957
          - type: ndcg_at_1000
            value: 26.381
          - type: ndcg_at_3
            value: 17.843999999999998
          - type: ndcg_at_5
            value: 19.189
          - type: precision_at_1
            value: 22.593
          - type: precision_at_10
            value: 4.601
          - type: precision_at_100
            value: 0.732
          - type: precision_at_1000
            value: 0.106
          - type: precision_at_3
            value: 11.254
          - type: precision_at_5
            value: 7.819
          - type: recall_at_1
            value: 11.296000000000001
          - type: recall_at_10
            value: 23.005
          - type: recall_at_100
            value: 36.597
          - type: recall_at_1000
            value: 52.93
          - type: recall_at_3
            value: 16.88
          - type: recall_at_5
            value: 19.548
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB ImdbClassification
          config: default
          split: test
          revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
        metrics:
          - type: accuracy
            value: 64.0796
          - type: ap
            value: 59.21369657756785
          - type: f1
            value: 63.80554451507698
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB MSMARCO
          config: default
          split: dev
          revision: c5a29a104738b98a9e76336939199e264163d4a0
        metrics:
          - type: map_at_1
            value: 2.822
          - type: map_at_10
            value: 4.9079999999999995
          - type: map_at_100
            value: 5.4670000000000005
          - type: map_at_1000
            value: 5.552
          - type: map_at_3
            value: 4.064
          - type: map_at_5
            value: 4.479
          - type: mrr_at_1
            value: 2.8369999999999997
          - type: mrr_at_10
            value: 5.006
          - type: mrr_at_100
            value: 5.575
          - type: mrr_at_1000
            value: 5.6579999999999995
          - type: mrr_at_3
            value: 4.133
          - type: mrr_at_5
            value: 4.559
          - type: ndcg_at_1
            value: 2.8369999999999997
          - type: ndcg_at_10
            value: 6.32
          - type: ndcg_at_100
            value: 9.546000000000001
          - type: ndcg_at_1000
            value: 12.223
          - type: ndcg_at_3
            value: 4.517
          - type: ndcg_at_5
            value: 5.267
          - type: precision_at_1
            value: 2.8369999999999997
          - type: precision_at_10
            value: 1.119
          - type: precision_at_100
            value: 0.28300000000000003
          - type: precision_at_1000
            value: 0.052
          - type: precision_at_3
            value: 1.968
          - type: precision_at_5
            value: 1.559
          - type: recall_at_1
            value: 2.822
          - type: recall_at_10
            value: 10.788
          - type: recall_at_100
            value: 26.848
          - type: recall_at_1000
            value: 48.613
          - type: recall_at_3
            value: 5.759
          - type: recall_at_5
            value: 7.5600000000000005
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB MTOPDomainClassification (en)
          config: en
          split: test
          revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
        metrics:
          - type: accuracy
            value: 85.22571819425444
          - type: f1
            value: 84.76386137659372
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB MTOPIntentClassification (en)
          config: en
          split: test
          revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
        metrics:
          - type: accuracy
            value: 56.31326949384404
          - type: f1
            value: 36.81602997546668
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB MasakhaNEWSClassification (eng)
          config: eng
          split: test
          revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
        metrics:
          - type: accuracy
            value: 76.69831223628692
          - type: f1
            value: 75.94656175905295
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB MasakhaNEWSClusteringS2S (eng)
          config: eng
          split: test
          revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
        metrics:
          - type: v_measure
            value: 19.60289598967427
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB MassiveIntentClassification (en)
          config: en
          split: test
          revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
        metrics:
          - type: accuracy
            value: 56.36852723604573
          - type: f1
            value: 53.668136836547085
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB MassiveScenarioClassification (en)
          config: en
          split: test
          revision: 7d571f92784cd94a019292a1f45445077d0ef634
        metrics:
          - type: accuracy
            value: 64.51916610625419
          - type: f1
            value: 62.784248086639515
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB MedrxivClusteringP2P
          config: default
          split: test
          revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
        metrics:
          - type: v_measure
            value: 27.851032342558657
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB MedrxivClusteringS2S
          config: default
          split: test
          revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
        metrics:
          - type: v_measure
            value: 23.456392994056834
      - task:
          type: Reranking
        dataset:
          type: None
          name: MTEB MindSmallReranking
          config: default
          split: test
          revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
        metrics:
          - type: map
            value: 26.934895509745115
          - type: mrr
            value: 27.27108783122485
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB NFCorpus
          config: default
          split: test
          revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
        metrics:
          - type: map_at_1
            value: 3.405
          - type: map_at_10
            value: 7.180000000000001
          - type: map_at_100
            value: 9.014999999999999
          - type: map_at_1000
            value: 10.211
          - type: map_at_3
            value: 5.541
          - type: map_at_5
            value: 6.29
          - type: mrr_at_1
            value: 26.316
          - type: mrr_at_10
            value: 37.216
          - type: mrr_at_100
            value: 38.155
          - type: mrr_at_1000
            value: 38.216
          - type: mrr_at_3
            value: 35.243
          - type: mrr_at_5
            value: 36.434
          - type: ndcg_at_1
            value: 24.768
          - type: ndcg_at_10
            value: 21.11
          - type: ndcg_at_100
            value: 21.051000000000002
          - type: ndcg_at_1000
            value: 30.789
          - type: ndcg_at_3
            value: 23.94
          - type: ndcg_at_5
            value: 22.512
          - type: precision_at_1
            value: 26.316
          - type: precision_at_10
            value: 15.387
          - type: precision_at_100
            value: 5.824
          - type: precision_at_1000
            value: 1.923
          - type: precision_at_3
            value: 22.601
          - type: precision_at_5
            value: 19.195
          - type: recall_at_1
            value: 3.405
          - type: recall_at_10
            value: 11.04
          - type: recall_at_100
            value: 24.92
          - type: recall_at_1000
            value: 58.472
          - type: recall_at_3
            value: 6.746
          - type: recall_at_5
            value: 8.366
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB NQ
          config: default
          split: test
          revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
        metrics:
          - type: map_at_1
            value: 3.879
          - type: map_at_10
            value: 6.714
          - type: map_at_100
            value: 7.2989999999999995
          - type: map_at_1000
            value: 7.376
          - type: map_at_3
            value: 5.5440000000000005
          - type: map_at_5
            value: 6.128
          - type: mrr_at_1
            value: 4.635
          - type: mrr_at_10
            value: 7.686999999999999
          - type: mrr_at_100
            value: 8.272
          - type: mrr_at_1000
            value: 8.341
          - type: mrr_at_3
            value: 6.4750000000000005
          - type: mrr_at_5
            value: 7.093000000000001
          - type: ndcg_at_1
            value: 4.635
          - type: ndcg_at_10
            value: 8.745
          - type: ndcg_at_100
            value: 11.95
          - type: ndcg_at_1000
            value: 14.248
          - type: ndcg_at_3
            value: 6.311
          - type: ndcg_at_5
            value: 7.364
          - type: precision_at_1
            value: 4.635
          - type: precision_at_10
            value: 1.7149999999999999
          - type: precision_at_100
            value: 0.358
          - type: precision_at_1000
            value: 0.058
          - type: precision_at_3
            value: 3.042
          - type: precision_at_5
            value: 2.4330000000000003
          - type: recall_at_1
            value: 3.879
          - type: recall_at_10
            value: 14.129
          - type: recall_at_100
            value: 29.369
          - type: recall_at_1000
            value: 47.313
          - type: recall_at_3
            value: 7.631
          - type: recall_at_5
            value: 10.098
      - task:
          type: PairClassification
        dataset:
          type: None
          name: MTEB OpusparcusPC (en)
          config: en
          split: test
          revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
        metrics:
          - type: cos_sim_accuracy
            value: 99.89816700610999
          - type: cos_sim_ap
            value: 100
          - type: cos_sim_f1
            value: 99.9490575649516
          - type: cos_sim_precision
            value: 100
          - type: cos_sim_recall
            value: 99.89816700610999
          - type: dot_accuracy
            value: 99.89816700610999
          - type: dot_ap
            value: 100
          - type: dot_f1
            value: 99.9490575649516
          - type: dot_precision
            value: 100
          - type: dot_recall
            value: 99.89816700610999
          - type: euclidean_accuracy
            value: 99.89816700610999
          - type: euclidean_ap
            value: 100
          - type: euclidean_f1
            value: 99.9490575649516
          - type: euclidean_precision
            value: 100
          - type: euclidean_recall
            value: 99.89816700610999
          - type: manhattan_accuracy
            value: 99.89816700610999
          - type: manhattan_ap
            value: 100
          - type: manhattan_f1
            value: 99.9490575649516
          - type: manhattan_precision
            value: 100
          - type: manhattan_recall
            value: 99.89816700610999
          - type: max_accuracy
            value: 99.89816700610999
          - type: max_ap
            value: 100
          - type: max_f1
            value: 99.9490575649516
      - task:
          type: PairClassification
        dataset:
          type: None
          name: MTEB PawsX (en)
          config: en
          split: test
          revision: 8a04d940a42cd40658986fdd8e3da561533a3646
        metrics:
          - type: cos_sim_accuracy
            value: 54.6
          - type: cos_sim_ap
            value: 41.86283617866976
          - type: cos_sim_f1
            value: 62.42257398485891
          - type: cos_sim_precision
            value: 45.37268634317159
          - type: cos_sim_recall
            value: 100
          - type: dot_accuracy
            value: 54.65
          - type: dot_ap
            value: 41.97285801948605
          - type: dot_f1
            value: 62.444061962134256
          - type: dot_precision
            value: 45.3953953953954
          - type: dot_recall
            value: 100
          - type: euclidean_accuracy
            value: 55.2
          - type: euclidean_ap
            value: 43.13939119930642
          - type: euclidean_f1
            value: 62.42257398485891
          - type: euclidean_precision
            value: 45.37268634317159
          - type: euclidean_recall
            value: 100
          - type: manhattan_accuracy
            value: 55.2
          - type: manhattan_ap
            value: 43.25154714126316
          - type: manhattan_f1
            value: 62.487010737790094
          - type: manhattan_precision
            value: 45.55555555555556
          - type: manhattan_recall
            value: 99.44873208379272
          - type: max_accuracy
            value: 55.2
          - type: max_ap
            value: 43.25154714126316
          - type: max_f1
            value: 62.487010737790094
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB QuoraRetrieval
          config: default
          split: test
          revision: None
        metrics:
          - type: map_at_1
            value: 53.702000000000005
          - type: map_at_10
            value: 65.176
          - type: map_at_100
            value: 65.999
          - type: map_at_1000
            value: 66.049
          - type: map_at_3
            value: 62.368
          - type: map_at_5
            value: 64.077
          - type: mrr_at_1
            value: 61.9
          - type: mrr_at_10
            value: 69.987
          - type: mrr_at_100
            value: 70.36200000000001
          - type: mrr_at_1000
            value: 70.379
          - type: mrr_at_3
            value: 68.207
          - type: mrr_at_5
            value: 69.327
          - type: ndcg_at_1
            value: 61.92999999999999
          - type: ndcg_at_10
            value: 70.295
          - type: ndcg_at_100
            value: 73.1
          - type: ndcg_at_1000
            value: 73.916
          - type: ndcg_at_3
            value: 66.355
          - type: ndcg_at_5
            value: 68.403
          - type: precision_at_1
            value: 61.92999999999999
          - type: precision_at_10
            value: 10.671999999999999
          - type: precision_at_100
            value: 1.332
          - type: precision_at_1000
            value: 0.147
          - type: precision_at_3
            value: 28.83
          - type: precision_at_5
            value: 19.216
          - type: recall_at_1
            value: 53.702000000000005
          - type: recall_at_10
            value: 80.455
          - type: recall_at_100
            value: 91.75999999999999
          - type: recall_at_1000
            value: 97.033
          - type: recall_at_3
            value: 69.228
          - type: recall_at_5
            value: 74.766
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB RedditClustering
          config: default
          split: test
          revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
        metrics:
          - type: v_measure
            value: 25.781222642642586
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB RedditClusteringP2P
          config: default
          split: test
          revision: 282350215ef01743dc01b456c7f5241fa8937f16
        metrics:
          - type: v_measure
            value: 39.469895537327254
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB SCIDOCS
          config: default
          split: test
          revision: None
        metrics:
          - type: map_at_1
            value: 1.043
          - type: map_at_10
            value: 2.456
          - type: map_at_100
            value: 2.913
          - type: map_at_1000
            value: 3.078
          - type: map_at_3
            value: 1.7870000000000001
          - type: map_at_5
            value: 2.173
          - type: mrr_at_1
            value: 5.1
          - type: mrr_at_10
            value: 8.515
          - type: mrr_at_100
            value: 9.149000000000001
          - type: mrr_at_1000
            value: 9.276
          - type: mrr_at_3
            value: 7.2669999999999995
          - type: mrr_at_5
            value: 7.962
          - type: ndcg_at_1
            value: 5.1
          - type: ndcg_at_10
            value: 4.578
          - type: ndcg_at_100
            value: 7.26
          - type: ndcg_at_1000
            value: 11.705
          - type: ndcg_at_3
            value: 4.194
          - type: ndcg_at_5
            value: 3.823
          - type: precision_at_1
            value: 5.1
          - type: precision_at_10
            value: 2.39
          - type: precision_at_100
            value: 0.645
          - type: precision_at_1000
            value: 0.174
          - type: precision_at_3
            value: 3.9
          - type: precision_at_5
            value: 3.4000000000000004
          - type: recall_at_1
            value: 1.043
          - type: recall_at_10
            value: 4.882000000000001
          - type: recall_at_100
            value: 13.15
          - type: recall_at_1000
            value: 35.385
          - type: recall_at_3
            value: 2.388
          - type: recall_at_5
            value: 3.4770000000000003
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB SICK-R
          config: default
          split: test
          revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
        metrics:
          - type: cos_sim_pearson
            value: 69.93170082002553
          - type: cos_sim_spearman
            value: 60.08741092780676
          - type: euclidean_pearson
            value: 65.60500561965856
          - type: euclidean_spearman
            value: 60.08755668871506
          - type: manhattan_pearson
            value: 66.26288910017067
          - type: manhattan_spearman
            value: 60.258444365922024
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS12
          config: default
          split: test
          revision: a0d554a64d88156834ff5ae9920b964011b16384
        metrics:
          - type: cos_sim_pearson
            value: 62.63440086574824
          - type: cos_sim_spearman
            value: 57.22862459567004
          - type: euclidean_pearson
            value: 61.33135391980671
          - type: euclidean_spearman
            value: 57.2287396395971
          - type: manhattan_pearson
            value: 63.538353299276665
          - type: manhattan_spearman
            value: 59.31604272847601
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS13
          config: default
          split: test
          revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
        metrics:
          - type: cos_sim_pearson
            value: 66.99729287299299
          - type: cos_sim_spearman
            value: 69.20264774948375
          - type: euclidean_pearson
            value: 68.83879433164682
          - type: euclidean_spearman
            value: 69.20257380705361
          - type: manhattan_pearson
            value: 68.82235273988779
          - type: manhattan_spearman
            value: 69.12895594376502
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS14
          config: default
          split: test
          revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
        metrics:
          - type: cos_sim_pearson
            value: 63.43542239265359
          - type: cos_sim_spearman
            value: 62.75650954855537
          - type: euclidean_pearson
            value: 63.87500752354951
          - type: euclidean_spearman
            value: 62.75647357698498
          - type: manhattan_pearson
            value: 64.30854220561612
          - type: manhattan_spearman
            value: 63.221533112975756
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS15
          config: default
          split: test
          revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
        metrics:
          - type: cos_sim_pearson
            value: 70.3113558570832
          - type: cos_sim_spearman
            value: 72.99345938388264
          - type: euclidean_pearson
            value: 72.46131589134022
          - type: euclidean_spearman
            value: 72.99345776180552
          - type: manhattan_pearson
            value: 72.98365443642383
          - type: manhattan_spearman
            value: 73.52773752441843
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS16
          config: default
          split: test
          revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
        metrics:
          - type: cos_sim_pearson
            value: 59.508816955942734
          - type: cos_sim_spearman
            value: 64.16476610475141
          - type: euclidean_pearson
            value: 63.49096301327081
          - type: euclidean_spearman
            value: 64.16559631894077
          - type: manhattan_pearson
            value: 63.756149631030304
          - type: manhattan_spearman
            value: 64.26840399223137
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS17 (en-en)
          config: en-en
          split: test
          revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
        metrics:
          - type: cos_sim_pearson
            value: 64.67239774871666
          - type: cos_sim_spearman
            value: 70.22507344222888
          - type: euclidean_pearson
            value: 68.64452662209249
          - type: euclidean_spearman
            value: 70.22507344222888
          - type: manhattan_pearson
            value: 69.50174122996509
          - type: manhattan_spearman
            value: 70.95654177971161
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STS22 (en)
          config: en
          split: test
          revision: eea2b4fe26a775864c896887d910b76a8098ad3f
        metrics:
          - type: cos_sim_pearson
            value: 37.43959179391427
          - type: cos_sim_spearman
            value: 52.14129987772493
          - type: euclidean_pearson
            value: 45.75262378066364
          - type: euclidean_spearman
            value: 52.14129987772493
          - type: manhattan_pearson
            value: 46.45004553263895
          - type: manhattan_spearman
            value: 52.6763345299464
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STSBenchmark
          config: default
          split: test
          revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
        metrics:
          - type: cos_sim_pearson
            value: 57.22043463404035
          - type: cos_sim_spearman
            value: 56.454056579980794
          - type: euclidean_pearson
            value: 58.48035388318515
          - type: euclidean_spearman
            value: 56.454075070192246
          - type: manhattan_pearson
            value: 59.27047962449207
          - type: manhattan_spearman
            value: 57.15898290207574
      - task:
          type: STS
        dataset:
          type: None
          name: MTEB STSBenchmarkMultilingualSTS (en)
          config: en
          split: test
          revision: 93d57ef91790589e3ce9c365164337a8a78b7632
        metrics:
          - type: cos_sim_pearson
            value: 57.220434628430304
          - type: cos_sim_spearman
            value: 56.454056579980794
          - type: euclidean_pearson
            value: 58.48035389301345
          - type: euclidean_spearman
            value: 56.454075070192246
          - type: manhattan_pearson
            value: 59.270479632297445
          - type: manhattan_spearman
            value: 57.15898290207574
      - task:
          type: Reranking
        dataset:
          type: None
          name: MTEB SciDocsRR
          config: default
          split: test
          revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
        metrics:
          - type: map
            value: 58.73824844121353
          - type: mrr
            value: 83.14232245604795
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB SciFact
          config: default
          split: test
          revision: 0228b52cf27578f30900b9e5271d331663a030d7
        metrics:
          - type: map_at_1
            value: 28.278
          - type: map_at_10
            value: 38.059
          - type: map_at_100
            value: 39.017
          - type: map_at_1000
            value: 39.086999999999996
          - type: map_at_3
            value: 35.157
          - type: map_at_5
            value: 36.321
          - type: mrr_at_1
            value: 28.999999999999996
          - type: mrr_at_10
            value: 38.842
          - type: mrr_at_100
            value: 39.683
          - type: mrr_at_1000
            value: 39.739999999999995
          - type: mrr_at_3
            value: 36.111
          - type: mrr_at_5
            value: 37.128
          - type: ndcg_at_1
            value: 28.999999999999996
          - type: ndcg_at_10
            value: 43.833
          - type: ndcg_at_100
            value: 48.478
          - type: ndcg_at_1000
            value: 50.287000000000006
          - type: ndcg_at_3
            value: 37.649
          - type: ndcg_at_5
            value: 39.635
          - type: precision_at_1
            value: 28.999999999999996
          - type: precision_at_10
            value: 6.633
          - type: precision_at_100
            value: 0.923
          - type: precision_at_1000
            value: 0.109
          - type: precision_at_3
            value: 15.556000000000001
          - type: precision_at_5
            value: 10.467
          - type: recall_at_1
            value: 28.278
          - type: recall_at_10
            value: 61.306000000000004
          - type: recall_at_100
            value: 82.794
          - type: recall_at_1000
            value: 96.68299999999999
          - type: recall_at_3
            value: 43.722
          - type: recall_at_5
            value: 48.528
      - task:
          type: PairClassification
        dataset:
          type: None
          name: MTEB SprintDuplicateQuestions
          config: default
          split: test
          revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
        metrics:
          - type: cos_sim_accuracy
            value: 99.45049504950495
          - type: cos_sim_ap
            value: 72.53477415157148
          - type: cos_sim_f1
            value: 69.14778856526429
          - type: cos_sim_precision
            value: 75.05854800936767
          - type: cos_sim_recall
            value: 64.1
          - type: dot_accuracy
            value: 99.45049504950495
          - type: dot_ap
            value: 72.53477415157148
          - type: dot_f1
            value: 69.14778856526429
          - type: dot_precision
            value: 75.05854800936767
          - type: dot_recall
            value: 64.1
          - type: euclidean_accuracy
            value: 99.45049504950495
          - type: euclidean_ap
            value: 72.53477415157148
          - type: euclidean_f1
            value: 69.14778856526429
          - type: euclidean_precision
            value: 75.05854800936767
          - type: euclidean_recall
            value: 64.1
          - type: manhattan_accuracy
            value: 99.5039603960396
          - type: manhattan_ap
            value: 76.7082832888717
          - type: manhattan_f1
            value: 72.13822894168467
          - type: manhattan_precision
            value: 78.40375586854461
          - type: manhattan_recall
            value: 66.8
          - type: max_accuracy
            value: 99.5039603960396
          - type: max_ap
            value: 76.7082832888717
          - type: max_f1
            value: 72.13822894168467
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB StackExchangeClustering
          config: default
          split: test
          revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
        metrics:
          - type: v_measure
            value: 41.45680507027172
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB StackExchangeClusteringP2P
          config: default
          split: test
          revision: 815ca46b2622cec33ccafc3735d572c266efdb44
        metrics:
          - type: v_measure
            value: 28.75350540653195
      - task:
          type: Reranking
        dataset:
          type: None
          name: MTEB StackOverflowDupQuestions
          config: default
          split: test
          revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
        metrics:
          - type: map
            value: 38.69383105134447
          - type: mrr
            value: 38.75449611662847
      - task:
          type: Summarization
        dataset:
          type: None
          name: MTEB SummEval
          config: default
          split: test
          revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
        metrics:
          - type: cos_sim_pearson
            value: 31.14397459171298
          - type: cos_sim_spearman
            value: 30.327886960162086
          - type: dot_pearson
            value: 31.143974578709766
          - type: dot_spearman
            value: 30.297101868216526
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB TRECCOVID
          config: default
          split: test
          revision: None
        metrics:
          - type: map_at_1
            value: 0.123
          - type: map_at_10
            value: 0.8380000000000001
          - type: map_at_100
            value: 3.5389999999999997
          - type: map_at_1000
            value: 8.105
          - type: map_at_3
            value: 0.319
          - type: map_at_5
            value: 0.482
          - type: mrr_at_1
            value: 52
          - type: mrr_at_10
            value: 63.839
          - type: mrr_at_100
            value: 64.274
          - type: mrr_at_1000
            value: 64.274
          - type: mrr_at_3
            value: 62
          - type: mrr_at_5
            value: 62.5
          - type: ndcg_at_1
            value: 45
          - type: ndcg_at_10
            value: 43.013
          - type: ndcg_at_100
            value: 28.294999999999998
          - type: ndcg_at_1000
            value: 24.868000000000002
          - type: ndcg_at_3
            value: 45.112
          - type: ndcg_at_5
            value: 44.41
          - type: precision_at_1
            value: 52
          - type: precision_at_10
            value: 47.4
          - type: precision_at_100
            value: 29.42
          - type: precision_at_1000
            value: 12.126000000000001
          - type: precision_at_3
            value: 50.666999999999994
          - type: precision_at_5
            value: 50
          - type: recall_at_1
            value: 0.123
          - type: recall_at_10
            value: 1.101
          - type: recall_at_100
            value: 6.366
          - type: recall_at_1000
            value: 24.29
          - type: recall_at_3
            value: 0.368
          - type: recall_at_5
            value: 0.5910000000000001
      - task:
          type: Retrieval
        dataset:
          type: None
          name: MTEB Touche2020
          config: default
          split: test
          revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
        metrics:
          - type: map_at_1
            value: 1.1280000000000001
          - type: map_at_10
            value: 3.533
          - type: map_at_100
            value: 6.584
          - type: map_at_1000
            value: 7.983
          - type: map_at_3
            value: 2.1399999999999997
          - type: map_at_5
            value: 2.825
          - type: mrr_at_1
            value: 20.408
          - type: mrr_at_10
            value: 29.62
          - type: mrr_at_100
            value: 31.746000000000002
          - type: mrr_at_1000
            value: 31.767
          - type: mrr_at_3
            value: 25.169999999999998
          - type: mrr_at_5
            value: 28.231
          - type: ndcg_at_1
            value: 18.367
          - type: ndcg_at_10
            value: 11.927
          - type: ndcg_at_100
            value: 21.722
          - type: ndcg_at_1000
            value: 34.343
          - type: ndcg_at_3
            value: 14.097999999999999
          - type: ndcg_at_5
            value: 13.475000000000001
          - type: precision_at_1
            value: 20.408
          - type: precision_at_10
            value: 11.224
          - type: precision_at_100
            value: 5.3469999999999995
          - type: precision_at_1000
            value: 1.316
          - type: precision_at_3
            value: 14.285999999999998
          - type: precision_at_5
            value: 14.285999999999998
          - type: recall_at_1
            value: 1.1280000000000001
          - type: recall_at_10
            value: 7.104000000000001
          - type: recall_at_100
            value: 32.883
          - type: recall_at_1000
            value: 71.486
          - type: recall_at_3
            value: 2.828
          - type: recall_at_5
            value: 4.619
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB ToxicConversationsClassification
          config: default
          split: test
          revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
        metrics:
          - type: accuracy
            value: 69.719
          - type: ap
            value: 13.153064299460688
          - type: f1
            value: 53.23280050361928
      - task:
          type: Classification
        dataset:
          type: None
          name: MTEB TweetSentimentExtractionClassification
          config: default
          split: test
          revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
        metrics:
          - type: accuracy
            value: 51.47425014148273
          - type: f1
            value: 51.588742010704195
      - task:
          type: Clustering
        dataset:
          type: None
          name: MTEB TwentyNewsgroupsClustering
          config: default
          split: test
          revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
        metrics:
          - type: v_measure
            value: 28.331197809553117
      - task:
          type: PairClassification
        dataset:
          type: None
          name: MTEB TwitterSemEval2015
          config: default
          split: test
          revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
        metrics:
          - type: cos_sim_accuracy
            value: 81.19449245991535
          - type: cos_sim_ap
            value: 53.831102581174925
          - type: cos_sim_f1
            value: 52.64428881912582
          - type: cos_sim_precision
            value: 48.53072128227961
          - type: cos_sim_recall
            value: 57.519788918205805
          - type: dot_accuracy
            value: 81.19449245991535
          - type: dot_ap
            value: 53.831102581174925
          - type: dot_f1
            value: 52.64428881912582
          - type: dot_precision
            value: 48.53072128227961
          - type: dot_recall
            value: 57.519788918205805
          - type: euclidean_accuracy
            value: 81.19449245991535
          - type: euclidean_ap
            value: 53.831102581174925
          - type: euclidean_f1
            value: 52.64428881912582
          - type: euclidean_precision
            value: 48.53072128227961
          - type: euclidean_recall
            value: 57.519788918205805
          - type: manhattan_accuracy
            value: 81.06932109435536
          - type: manhattan_ap
            value: 53.40351129456407
          - type: manhattan_f1
            value: 51.96813495782568
          - type: manhattan_precision
            value: 46.73409186683523
          - type: manhattan_recall
            value: 58.52242744063324
          - type: max_accuracy
            value: 81.19449245991535
          - type: max_ap
            value: 53.831102581174925
          - type: max_f1
            value: 52.64428881912582
      - task:
          type: PairClassification
        dataset:
          type: None
          name: MTEB TwitterURLCorpus
          config: default
          split: test
          revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
        metrics:
          - type: cos_sim_accuracy
            value: 83.53708231458843
          - type: cos_sim_ap
            value: 70.93155202991022
          - type: cos_sim_f1
            value: 63.92679900744417
          - type: cos_sim_precision
            value: 64.38612933458295
          - type: cos_sim_recall
            value: 63.47397597782568
          - type: dot_accuracy
            value: 83.53708231458843
          - type: dot_ap
            value: 70.93155188455967
          - type: dot_f1
            value: 63.92679900744417
          - type: dot_precision
            value: 64.38612933458295
          - type: dot_recall
            value: 63.47397597782568
          - type: euclidean_accuracy
            value: 83.53708231458843
          - type: euclidean_ap
            value: 70.93155157551972
          - type: euclidean_f1
            value: 63.92679900744417
          - type: euclidean_precision
            value: 64.38612933458295
          - type: euclidean_recall
            value: 63.47397597782568
          - type: manhattan_accuracy
            value: 83.77187875965382
          - type: manhattan_ap
            value: 71.99220572523825
          - type: manhattan_f1
            value: 65.04077318030807
          - type: manhattan_precision
            value: 63.80740740740741
          - type: manhattan_recall
            value: 66.32275947028026
          - type: max_accuracy
            value: 83.77187875965382
          - type: max_ap
            value: 71.99220572523825
          - type: max_f1
            value: 65.04077318030807