Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: andersonbcdefg/bge-small-4096
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 68.74626865671641
+    - type: ap
+      value: 31.113961861085855
+    - type: f1
+      value: 62.628656720790275
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 81.30347499999999
+    - type: ap
+      value: 76.05639977935193
+    - type: f1
+      value: 81.23180016825499
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 38.566
+    - type: f1
+      value: 38.014543974125615
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.445
+    - type: map_at_10
+      value: 44.157999999999994
+    - type: map_at_100
+      value: 45.169
+    - type: map_at_1000
+      value: 45.178000000000004
+    - type: map_at_3
+      value: 39.545
+    - type: map_at_5
+      value: 42.233
+    - type: mrr_at_1
+      value: 29.445
+    - type: mrr_at_10
+      value: 44.157999999999994
+    - type: mrr_at_100
+      value: 45.169
+    - type: mrr_at_1000
+      value: 45.178000000000004
+    - type: mrr_at_3
+      value: 39.545
+    - type: mrr_at_5
+      value: 42.233
+    - type: ndcg_at_1
+      value: 29.445
+    - type: ndcg_at_10
+      value: 52.446000000000005
+    - type: ndcg_at_100
+      value: 56.782
+    - type: ndcg_at_1000
+      value: 56.989999999999995
+    - type: ndcg_at_3
+      value: 42.935
+    - type: ndcg_at_5
+      value: 47.833999999999996
+    - type: precision_at_1
+      value: 29.445
+    - type: precision_at_10
+      value: 7.8950000000000005
+    - type: precision_at_100
+      value: 0.979
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 17.591
+    - type: precision_at_5
+      value: 12.959000000000001
+    - type: recall_at_1
+      value: 29.445
+    - type: recall_at_10
+      value: 78.947
+    - type: recall_at_100
+      value: 97.937
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 52.774
+    - type: recall_at_5
+      value: 64.794
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 43.85187820924144
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 29.5939502757938
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 58.539409343284674
+    - type: mrr
+      value: 71.58982983775228
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.31440765254087
+    - type: cos_sim_spearman
+      value: 81.59884723689632
+    - type: euclidean_pearson
+      value: 80.65818473893147
+    - type: euclidean_spearman
+      value: 81.40004752638717
+    - type: manhattan_pearson
+      value: 80.52256901536644
+    - type: manhattan_spearman
+      value: 80.57292024599603
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 79.98376623376623
+    - type: f1
+      value: 79.91981901371503
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 37.79541356345093
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 26.760513681350375
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.794
+    - type: map_at_10
+      value: 33.361000000000004
+    - type: map_at_100
+      value: 34.86
+    - type: map_at_1000
+      value: 35.0
+    - type: map_at_3
+      value: 30.579
+    - type: map_at_5
+      value: 31.996000000000002
+    - type: mrr_at_1
+      value: 30.186
+    - type: mrr_at_10
+      value: 39.681
+    - type: mrr_at_100
+      value: 40.616
+    - type: mrr_at_1000
+      value: 40.669
+    - type: mrr_at_3
+      value: 37.244
+    - type: mrr_at_5
+      value: 38.588
+    - type: ndcg_at_1
+      value: 30.186
+    - type: ndcg_at_10
+      value: 39.34
+    - type: ndcg_at_100
+      value: 45.266
+    - type: ndcg_at_1000
+      value: 47.9
+    - type: ndcg_at_3
+      value: 35.164
+    - type: ndcg_at_5
+      value: 36.854
+    - type: precision_at_1
+      value: 30.186
+    - type: precision_at_10
+      value: 7.639
+    - type: precision_at_100
+      value: 1.328
+    - type: precision_at_1000
+      value: 0.183
+    - type: precision_at_3
+      value: 17.31
+    - type: precision_at_5
+      value: 12.275
+    - type: recall_at_1
+      value: 23.794
+    - type: recall_at_10
+      value: 50.463
+    - type: recall_at_100
+      value: 75.268
+    - type: recall_at_1000
+      value: 93.138
+    - type: recall_at_3
+      value: 37.797
+    - type: recall_at_5
+      value: 42.985
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.968999999999998
+    - type: map_at_10
+      value: 23.846999999999998
+    - type: map_at_100
+      value: 24.712999999999997
+    - type: map_at_1000
+      value: 24.833
+    - type: map_at_3
+      value: 22.024
+    - type: map_at_5
+      value: 23.087
+    - type: mrr_at_1
+      value: 22.038
+    - type: mrr_at_10
+      value: 27.808
+    - type: mrr_at_100
+      value: 28.532999999999998
+    - type: mrr_at_1000
+      value: 28.604000000000003
+    - type: mrr_at_3
+      value: 26.029999999999998
+    - type: mrr_at_5
+      value: 27.122
+    - type: ndcg_at_1
+      value: 22.038
+    - type: ndcg_at_10
+      value: 27.559
+    - type: ndcg_at_100
+      value: 31.541999999999998
+    - type: ndcg_at_1000
+      value: 34.343
+    - type: ndcg_at_3
+      value: 24.585
+    - type: ndcg_at_5
+      value: 26.026
+    - type: precision_at_1
+      value: 22.038
+    - type: precision_at_10
+      value: 5.019
+    - type: precision_at_100
+      value: 0.8920000000000001
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 11.423
+    - type: precision_at_5
+      value: 8.28
+    - type: recall_at_1
+      value: 17.968999999999998
+    - type: recall_at_10
+      value: 34.583000000000006
+    - type: recall_at_100
+      value: 51.849000000000004
+    - type: recall_at_1000
+      value: 70.832
+    - type: recall_at_3
+      value: 26.057000000000002
+    - type: recall_at_5
+      value: 29.816
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.183999999999997
+    - type: map_at_10
+      value: 40.245
+    - type: map_at_100
+      value: 41.324
+    - type: map_at_1000
+      value: 41.402
+    - type: map_at_3
+      value: 37.395
+    - type: map_at_5
+      value: 38.964999999999996
+    - type: mrr_at_1
+      value: 33.981
+    - type: mrr_at_10
+      value: 43.471
+    - type: mrr_at_100
+      value: 44.303
+    - type: mrr_at_1000
+      value: 44.352999999999994
+    - type: mrr_at_3
+      value: 41.149
+    - type: mrr_at_5
+      value: 42.466
+    - type: ndcg_at_1
+      value: 33.981
+    - type: ndcg_at_10
+      value: 45.776
+    - type: ndcg_at_100
+      value: 50.441
+    - type: ndcg_at_1000
+      value: 52.16
+    - type: ndcg_at_3
+      value: 40.756
+    - type: ndcg_at_5
+      value: 43.132
+    - type: precision_at_1
+      value: 33.981
+    - type: precision_at_10
+      value: 7.617999999999999
+    - type: precision_at_100
+      value: 1.083
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 18.558
+    - type: precision_at_5
+      value: 12.915
+    - type: recall_at_1
+      value: 29.183999999999997
+    - type: recall_at_10
+      value: 59.114
+    - type: recall_at_100
+      value: 79.549
+    - type: recall_at_1000
+      value: 91.925
+    - type: recall_at_3
+      value: 45.551
+    - type: recall_at_5
+      value: 51.38399999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.286
+    - type: map_at_10
+      value: 27.143
+    - type: map_at_100
+      value: 28.107
+    - type: map_at_1000
+      value: 28.212
+    - type: map_at_3
+      value: 25.149
+    - type: map_at_5
+      value: 26.179999999999996
+    - type: mrr_at_1
+      value: 22.034000000000002
+    - type: mrr_at_10
+      value: 28.875
+    - type: mrr_at_100
+      value: 29.785
+    - type: mrr_at_1000
+      value: 29.876
+    - type: mrr_at_3
+      value: 27.023999999999997
+    - type: mrr_at_5
+      value: 28.058
+    - type: ndcg_at_1
+      value: 22.034000000000002
+    - type: ndcg_at_10
+      value: 31.148999999999997
+    - type: ndcg_at_100
+      value: 35.936
+    - type: ndcg_at_1000
+      value: 38.682
+    - type: ndcg_at_3
+      value: 27.230999999999998
+    - type: ndcg_at_5
+      value: 29.034
+    - type: precision_at_1
+      value: 22.034000000000002
+    - type: precision_at_10
+      value: 4.836
+    - type: precision_at_100
+      value: 0.754
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 11.562999999999999
+    - type: precision_at_5
+      value: 8.068
+    - type: recall_at_1
+      value: 20.286
+    - type: recall_at_10
+      value: 41.827999999999996
+    - type: recall_at_100
+      value: 63.922000000000004
+    - type: recall_at_1000
+      value: 84.639
+    - type: recall_at_3
+      value: 31.227
+    - type: recall_at_5
+      value: 35.546
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.488
+    - type: map_at_10
+      value: 18.595
+    - type: map_at_100
+      value: 19.783
+    - type: map_at_1000
+      value: 19.918
+    - type: map_at_3
+      value: 16.274
+    - type: map_at_5
+      value: 17.558
+    - type: mrr_at_1
+      value: 16.791
+    - type: mrr_at_10
+      value: 22.53
+    - type: mrr_at_100
+      value: 23.651
+    - type: mrr_at_1000
+      value: 23.738999999999997
+    - type: mrr_at_3
+      value: 20.232
+    - type: mrr_at_5
+      value: 21.644
+    - type: ndcg_at_1
+      value: 16.791
+    - type: ndcg_at_10
+      value: 22.672
+    - type: ndcg_at_100
+      value: 28.663
+    - type: ndcg_at_1000
+      value: 31.954
+    - type: ndcg_at_3
+      value: 18.372
+    - type: ndcg_at_5
+      value: 20.47
+    - type: precision_at_1
+      value: 16.791
+    - type: precision_at_10
+      value: 4.2540000000000004
+    - type: precision_at_100
+      value: 0.8370000000000001
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 8.706
+    - type: precision_at_5
+      value: 6.666999999999999
+    - type: recall_at_1
+      value: 13.488
+    - type: recall_at_10
+      value: 31.451
+    - type: recall_at_100
+      value: 58.085
+    - type: recall_at_1000
+      value: 81.792
+    - type: recall_at_3
+      value: 19.811
+    - type: recall_at_5
+      value: 24.973
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.436
+    - type: map_at_10
+      value: 29.105999999999998
+    - type: map_at_100
+      value: 30.442000000000004
+    - type: map_at_1000
+      value: 30.567
+    - type: map_at_3
+      value: 26.430999999999997
+    - type: map_at_5
+      value: 27.866000000000003
+    - type: mrr_at_1
+      value: 26.083000000000002
+    - type: mrr_at_10
+      value: 33.975
+    - type: mrr_at_100
+      value: 35.014
+    - type: mrr_at_1000
+      value: 35.07
+    - type: mrr_at_3
+      value: 31.649
+    - type: mrr_at_5
+      value: 32.944
+    - type: ndcg_at_1
+      value: 26.083000000000002
+    - type: ndcg_at_10
+      value: 34.229
+    - type: ndcg_at_100
+      value: 40.439
+    - type: ndcg_at_1000
+      value: 43.081
+    - type: ndcg_at_3
+      value: 29.64
+    - type: ndcg_at_5
+      value: 31.704
+    - type: precision_at_1
+      value: 26.083000000000002
+    - type: precision_at_10
+      value: 6.246
+    - type: precision_at_100
+      value: 1.1199999999999999
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 13.858999999999998
+    - type: precision_at_5
+      value: 10.01
+    - type: recall_at_1
+      value: 21.436
+    - type: recall_at_10
+      value: 44.938
+    - type: recall_at_100
+      value: 72.029
+    - type: recall_at_1000
+      value: 90.009
+    - type: recall_at_3
+      value: 31.954
+    - type: recall_at_5
+      value: 37.303
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.217
+    - type: map_at_10
+      value: 25.16
+    - type: map_at_100
+      value: 26.490000000000002
+    - type: map_at_1000
+      value: 26.619
+    - type: map_at_3
+      value: 22.926
+    - type: map_at_5
+      value: 24.251
+    - type: mrr_at_1
+      value: 22.831000000000003
+    - type: mrr_at_10
+      value: 30.009000000000004
+    - type: mrr_at_100
+      value: 31.045
+    - type: mrr_at_1000
+      value: 31.122
+    - type: mrr_at_3
+      value: 28.025
+    - type: mrr_at_5
+      value: 29.07
+    - type: ndcg_at_1
+      value: 22.831000000000003
+    - type: ndcg_at_10
+      value: 29.664
+    - type: ndcg_at_100
+      value: 35.900999999999996
+    - type: ndcg_at_1000
+      value: 38.932
+    - type: ndcg_at_3
+      value: 26.051000000000002
+    - type: ndcg_at_5
+      value: 27.741
+    - type: precision_at_1
+      value: 22.831000000000003
+    - type: precision_at_10
+      value: 5.479
+    - type: precision_at_100
+      value: 1.027
+    - type: precision_at_1000
+      value: 0.146
+    - type: precision_at_3
+      value: 12.481
+    - type: precision_at_5
+      value: 8.973
+    - type: recall_at_1
+      value: 18.217
+    - type: recall_at_10
+      value: 38.336
+    - type: recall_at_100
+      value: 65.854
+    - type: recall_at_1000
+      value: 87.498
+    - type: recall_at_3
+      value: 28.158
+    - type: recall_at_5
+      value: 32.841
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.100666666666665
+    - type: map_at_10
+      value: 26.22883333333333
+    - type: map_at_100
+      value: 27.34241666666667
+    - type: map_at_1000
+      value: 27.468416666666666
+    - type: map_at_3
+      value: 23.953916666666668
+    - type: map_at_5
+      value: 25.20125
+    - type: mrr_at_1
+      value: 22.729249999999997
+    - type: mrr_at_10
+      value: 29.86491666666667
+    - type: mrr_at_100
+      value: 30.76925
+    - type: mrr_at_1000
+      value: 30.846333333333337
+    - type: mrr_at_3
+      value: 27.733999999999998
+    - type: mrr_at_5
+      value: 28.94058333333333
+    - type: ndcg_at_1
+      value: 22.729249999999997
+    - type: ndcg_at_10
+      value: 30.708250000000003
+    - type: ndcg_at_100
+      value: 35.89083333333333
+    - type: ndcg_at_1000
+      value: 38.75891666666666
+    - type: ndcg_at_3
+      value: 26.661083333333334
+    - type: ndcg_at_5
+      value: 28.54
+    - type: precision_at_1
+      value: 22.729249999999997
+    - type: precision_at_10
+      value: 5.433833333333333
+    - type: precision_at_100
+      value: 0.9486666666666665
+    - type: precision_at_1000
+      value: 0.13808333333333334
+    - type: precision_at_3
+      value: 12.292166666666668
+    - type: precision_at_5
+      value: 8.825
+    - type: recall_at_1
+      value: 19.100666666666665
+    - type: recall_at_10
+      value: 40.54208333333334
+    - type: recall_at_100
+      value: 63.67975
+    - type: recall_at_1000
+      value: 84.13574999999999
+    - type: recall_at_3
+      value: 29.311000000000003
+    - type: recall_at_5
+      value: 34.1105
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.762
+    - type: map_at_10
+      value: 23.905
+    - type: map_at_100
+      value: 24.663
+    - type: map_at_1000
+      value: 24.765
+    - type: map_at_3
+      value: 22.032
+    - type: map_at_5
+      value: 23.025000000000002
+    - type: mrr_at_1
+      value: 20.244999999999997
+    - type: mrr_at_10
+      value: 26.162999999999997
+    - type: mrr_at_100
+      value: 26.907999999999998
+    - type: mrr_at_1000
+      value: 26.987
+    - type: mrr_at_3
+      value: 24.361
+    - type: mrr_at_5
+      value: 25.326999999999998
+    - type: ndcg_at_1
+      value: 20.244999999999997
+    - type: ndcg_at_10
+      value: 27.577
+    - type: ndcg_at_100
+      value: 31.473000000000003
+    - type: ndcg_at_1000
+      value: 34.217999999999996
+    - type: ndcg_at_3
+      value: 24.092
+    - type: ndcg_at_5
+      value: 25.657000000000004
+    - type: precision_at_1
+      value: 20.244999999999997
+    - type: precision_at_10
+      value: 4.433
+    - type: precision_at_100
+      value: 0.692
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 10.634
+    - type: precision_at_5
+      value: 7.362
+    - type: recall_at_1
+      value: 17.762
+    - type: recall_at_10
+      value: 36.661
+    - type: recall_at_100
+      value: 54.581999999999994
+    - type: recall_at_1000
+      value: 75.28099999999999
+    - type: recall_at_3
+      value: 27.084999999999997
+    - type: recall_at_5
+      value: 31.064999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.998000000000001
+    - type: map_at_10
+      value: 18.926000000000002
+    - type: map_at_100
+      value: 19.836000000000002
+    - type: map_at_1000
+      value: 19.96
+    - type: map_at_3
+      value: 16.932
+    - type: map_at_5
+      value: 17.963
+    - type: mrr_at_1
+      value: 15.692
+    - type: mrr_at_10
+      value: 22.206
+    - type: mrr_at_100
+      value: 23.021
+    - type: mrr_at_1000
+      value: 23.108999999999998
+    - type: mrr_at_3
+      value: 20.114
+    - type: mrr_at_5
+      value: 21.241
+    - type: ndcg_at_1
+      value: 15.692
+    - type: ndcg_at_10
+      value: 22.997999999999998
+    - type: ndcg_at_100
+      value: 27.541
+    - type: ndcg_at_1000
+      value: 30.758000000000003
+    - type: ndcg_at_3
+      value: 19.117
+    - type: ndcg_at_5
+      value: 20.778
+    - type: precision_at_1
+      value: 15.692
+    - type: precision_at_10
+      value: 4.277
+    - type: precision_at_100
+      value: 0.774
+    - type: precision_at_1000
+      value: 0.122
+    - type: precision_at_3
+      value: 9.027000000000001
+    - type: precision_at_5
+      value: 6.641
+    - type: recall_at_1
+      value: 12.998000000000001
+    - type: recall_at_10
+      value: 32.135999999999996
+    - type: recall_at_100
+      value: 52.937
+    - type: recall_at_1000
+      value: 76.348
+    - type: recall_at_3
+      value: 21.292
+    - type: recall_at_5
+      value: 25.439
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.219
+    - type: map_at_10
+      value: 27.306
+    - type: map_at_100
+      value: 28.337
+    - type: map_at_1000
+      value: 28.459
+    - type: map_at_3
+      value: 25.423000000000002
+    - type: map_at_5
+      value: 26.375999999999998
+    - type: mrr_at_1
+      value: 23.787
+    - type: mrr_at_10
+      value: 30.977
+    - type: mrr_at_100
+      value: 31.85
+    - type: mrr_at_1000
+      value: 31.939
+    - type: mrr_at_3
+      value: 29.073
+    - type: mrr_at_5
+      value: 30.095
+    - type: ndcg_at_1
+      value: 23.787
+    - type: ndcg_at_10
+      value: 31.615
+    - type: ndcg_at_100
+      value: 36.641
+    - type: ndcg_at_1000
+      value: 39.707
+    - type: ndcg_at_3
+      value: 27.994000000000003
+    - type: ndcg_at_5
+      value: 29.508000000000003
+    - type: precision_at_1
+      value: 23.787
+    - type: precision_at_10
+      value: 5.271
+    - type: precision_at_100
+      value: 0.865
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 12.748999999999999
+    - type: precision_at_5
+      value: 8.806
+    - type: recall_at_1
+      value: 20.219
+    - type: recall_at_10
+      value: 41.108
+    - type: recall_at_100
+      value: 63.596
+    - type: recall_at_1000
+      value: 85.54899999999999
+    - type: recall_at_3
+      value: 31.129
+    - type: recall_at_5
+      value: 34.845
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.949
+    - type: map_at_10
+      value: 26.629
+    - type: map_at_100
+      value: 28.006999999999998
+    - type: map_at_1000
+      value: 28.221
+    - type: map_at_3
+      value: 24.099999999999998
+    - type: map_at_5
+      value: 25.487
+    - type: mrr_at_1
+      value: 24.111
+    - type: mrr_at_10
+      value: 30.592000000000002
+    - type: mrr_at_100
+      value: 31.448999999999998
+    - type: mrr_at_1000
+      value: 31.538
+    - type: mrr_at_3
+      value: 28.128999999999998
+    - type: mrr_at_5
+      value: 29.503
+    - type: ndcg_at_1
+      value: 24.111
+    - type: ndcg_at_10
+      value: 31.373
+    - type: ndcg_at_100
+      value: 36.897999999999996
+    - type: ndcg_at_1000
+      value: 40.288000000000004
+    - type: ndcg_at_3
+      value: 26.895000000000003
+    - type: ndcg_at_5
+      value: 29.009
+    - type: precision_at_1
+      value: 24.111
+    - type: precision_at_10
+      value: 6.067
+    - type: precision_at_100
+      value: 1.269
+    - type: precision_at_1000
+      value: 0.22
+    - type: precision_at_3
+      value: 12.385
+    - type: precision_at_5
+      value: 9.249
+    - type: recall_at_1
+      value: 19.949
+    - type: recall_at_10
+      value: 40.394000000000005
+    - type: recall_at_100
+      value: 65.812
+    - type: recall_at_1000
+      value: 88.247
+    - type: recall_at_3
+      value: 28.116000000000003
+    - type: recall_at_5
+      value: 33.4
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.905999999999999
+    - type: map_at_10
+      value: 20.523
+    - type: map_at_100
+      value: 21.547
+    - type: map_at_1000
+      value: 21.665
+    - type: map_at_3
+      value: 18.182000000000002
+    - type: map_at_5
+      value: 19.661
+    - type: mrr_at_1
+      value: 14.972
+    - type: mrr_at_10
+      value: 22.092
+    - type: mrr_at_100
+      value: 23.055999999999997
+    - type: mrr_at_1000
+      value: 23.150000000000002
+    - type: mrr_at_3
+      value: 19.778000000000002
+    - type: mrr_at_5
+      value: 21.229
+    - type: ndcg_at_1
+      value: 14.972
+    - type: ndcg_at_10
+      value: 24.547
+    - type: ndcg_at_100
+      value: 29.948999999999998
+    - type: ndcg_at_1000
+      value: 33.084
+    - type: ndcg_at_3
+      value: 20.036
+    - type: ndcg_at_5
+      value: 22.567
+    - type: precision_at_1
+      value: 14.972
+    - type: precision_at_10
+      value: 4.067
+    - type: precision_at_100
+      value: 0.743
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 8.811
+    - type: precision_at_5
+      value: 6.654
+    - type: recall_at_1
+      value: 13.905999999999999
+    - type: recall_at_10
+      value: 35.493
+    - type: recall_at_100
+      value: 60.67399999999999
+    - type: recall_at_1000
+      value: 84.371
+    - type: recall_at_3
+      value: 23.555
+    - type: recall_at_5
+      value: 29.729
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.529
+    - type: map_at_10
+      value: 12.794
+    - type: map_at_100
+      value: 14.315
+    - type: map_at_1000
+      value: 14.523
+    - type: map_at_3
+      value: 10.367999999999999
+    - type: map_at_5
+      value: 11.546
+    - type: mrr_at_1
+      value: 16.872999999999998
+    - type: mrr_at_10
+      value: 25.709
+    - type: mrr_at_100
+      value: 26.907999999999998
+    - type: mrr_at_1000
+      value: 26.962000000000003
+    - type: mrr_at_3
+      value: 22.486
+    - type: mrr_at_5
+      value: 24.245
+    - type: ndcg_at_1
+      value: 16.872999999999998
+    - type: ndcg_at_10
+      value: 19.005
+    - type: ndcg_at_100
+      value: 25.990999999999996
+    - type: ndcg_at_1000
+      value: 29.955
+    - type: ndcg_at_3
+      value: 14.573
+    - type: ndcg_at_5
+      value: 16.118
+    - type: precision_at_1
+      value: 16.872999999999998
+    - type: precision_at_10
+      value: 6.235
+    - type: precision_at_100
+      value: 1.374
+    - type: precision_at_1000
+      value: 0.21
+    - type: precision_at_3
+      value: 10.793
+    - type: precision_at_5
+      value: 8.73
+    - type: recall_at_1
+      value: 7.529
+    - type: recall_at_10
+      value: 24.007
+    - type: recall_at_100
+      value: 48.742000000000004
+    - type: recall_at_1000
+      value: 71.35000000000001
+    - type: recall_at_3
+      value: 13.467
+    - type: recall_at_5
+      value: 17.502000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.614
+    - type: map_at_10
+      value: 11.42
+    - type: map_at_100
+      value: 15.873000000000001
+    - type: map_at_1000
+      value: 17.021
+    - type: map_at_3
+      value: 8.495
+    - type: map_at_5
+      value: 9.790000000000001
+    - type: mrr_at_1
+      value: 42.0
+    - type: mrr_at_10
+      value: 52.477
+    - type: mrr_at_100
+      value: 53.095000000000006
+    - type: mrr_at_1000
+      value: 53.135
+    - type: mrr_at_3
+      value: 49.833
+    - type: mrr_at_5
+      value: 51.183
+    - type: ndcg_at_1
+      value: 31.374999999999996
+    - type: ndcg_at_10
+      value: 25.27
+    - type: ndcg_at_100
+      value: 29.709999999999997
+    - type: ndcg_at_1000
+      value: 36.975
+    - type: ndcg_at_3
+      value: 27.688000000000002
+    - type: ndcg_at_5
+      value: 25.987
+    - type: precision_at_1
+      value: 42.0
+    - type: precision_at_10
+      value: 21.2
+    - type: precision_at_100
+      value: 7.053
+    - type: precision_at_1000
+      value: 1.512
+    - type: precision_at_3
+      value: 32.333
+    - type: precision_at_5
+      value: 26.6
+    - type: recall_at_1
+      value: 5.614
+    - type: recall_at_10
+      value: 16.112000000000002
+    - type: recall_at_100
+      value: 36.165000000000006
+    - type: recall_at_1000
+      value: 60.362
+    - type: recall_at_3
+      value: 9.761000000000001
+    - type: recall_at_5
+      value: 12.279
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 40.085
+    - type: f1
+      value: 35.53934111316537
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.185
+    - type: map_at_10
+      value: 44.491
+    - type: map_at_100
+      value: 45.204
+    - type: map_at_1000
+      value: 45.254
+    - type: map_at_3
+      value: 42.006
+    - type: map_at_5
+      value: 43.516
+    - type: mrr_at_1
+      value: 37.024
+    - type: mrr_at_10
+      value: 47.524
+    - type: mrr_at_100
+      value: 48.185
+    - type: mrr_at_1000
+      value: 48.227
+    - type: mrr_at_3
+      value: 45.086999999999996
+    - type: mrr_at_5
+      value: 46.575
+    - type: ndcg_at_1
+      value: 37.024
+    - type: ndcg_at_10
+      value: 50.126000000000005
+    - type: ndcg_at_100
+      value: 53.577
+    - type: ndcg_at_1000
+      value: 54.906
+    - type: ndcg_at_3
+      value: 45.25
+    - type: ndcg_at_5
+      value: 47.842
+    - type: precision_at_1
+      value: 37.024
+    - type: precision_at_10
+      value: 7.132
+    - type: precision_at_100
+      value: 0.898
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 18.767
+    - type: precision_at_5
+      value: 12.676000000000002
+    - type: recall_at_1
+      value: 34.185
+    - type: recall_at_10
+      value: 64.703
+    - type: recall_at_100
+      value: 80.58
+    - type: recall_at_1000
+      value: 90.742
+    - type: recall_at_3
+      value: 51.483000000000004
+    - type: recall_at_5
+      value: 57.775
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.358
+    - type: map_at_10
+      value: 16.391
+    - type: map_at_100
+      value: 17.698
+    - type: map_at_1000
+      value: 17.912
+    - type: map_at_3
+      value: 13.831
+    - type: map_at_5
+      value: 15.187000000000001
+    - type: mrr_at_1
+      value: 18.673000000000002
+    - type: mrr_at_10
+      value: 26.907999999999998
+    - type: mrr_at_100
+      value: 27.842
+    - type: mrr_at_1000
+      value: 27.933000000000003
+    - type: mrr_at_3
+      value: 24.486
+    - type: mrr_at_5
+      value: 25.766
+    - type: ndcg_at_1
+      value: 18.673000000000002
+    - type: ndcg_at_10
+      value: 22.137
+    - type: ndcg_at_100
+      value: 28.126
+    - type: ndcg_at_1000
+      value: 32.489000000000004
+    - type: ndcg_at_3
+      value: 18.723
+    - type: ndcg_at_5
+      value: 19.858
+    - type: precision_at_1
+      value: 18.673000000000002
+    - type: precision_at_10
+      value: 6.389
+    - type: precision_at_100
+      value: 1.262
+    - type: precision_at_1000
+      value: 0.202
+    - type: precision_at_3
+      value: 12.757
+    - type: precision_at_5
+      value: 9.753
+    - type: recall_at_1
+      value: 9.358
+    - type: recall_at_10
+      value: 28.605000000000004
+    - type: recall_at_100
+      value: 51.713
+    - type: recall_at_1000
+      value: 78.408
+    - type: recall_at_3
+      value: 17.674
+    - type: recall_at_5
+      value: 21.97
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.997999999999998
+    - type: map_at_10
+      value: 32.957
+    - type: map_at_100
+      value: 33.972
+    - type: map_at_1000
+      value: 34.072
+    - type: map_at_3
+      value: 30.44
+    - type: map_at_5
+      value: 31.869999999999997
+    - type: mrr_at_1
+      value: 45.995999999999995
+    - type: mrr_at_10
+      value: 54.473000000000006
+    - type: mrr_at_100
+      value: 55.103
+    - type: mrr_at_1000
+      value: 55.139
+    - type: mrr_at_3
+      value: 52.349999999999994
+    - type: mrr_at_5
+      value: 53.61900000000001
+    - type: ndcg_at_1
+      value: 45.995999999999995
+    - type: ndcg_at_10
+      value: 41.333
+    - type: ndcg_at_100
+      value: 45.635999999999996
+    - type: ndcg_at_1000
+      value: 47.847
+    - type: ndcg_at_3
+      value: 36.825
+    - type: ndcg_at_5
+      value: 39.099000000000004
+    - type: precision_at_1
+      value: 45.995999999999995
+    - type: precision_at_10
+      value: 9.020999999999999
+    - type: precision_at_100
+      value: 1.244
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 23.34
+    - type: precision_at_5
+      value: 15.8
+    - type: recall_at_1
+      value: 22.997999999999998
+    - type: recall_at_10
+      value: 45.105000000000004
+    - type: recall_at_100
+      value: 62.188
+    - type: recall_at_1000
+      value: 76.907
+    - type: recall_at_3
+      value: 35.010000000000005
+    - type: recall_at_5
+      value: 39.5
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 80.0944
+    - type: ap
+      value: 74.43301569395831
+    - type: f1
+      value: 80.04407647044388
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.171
+    - type: map_at_10
+      value: 17.558
+    - type: map_at_100
+      value: 18.694
+    - type: map_at_1000
+      value: 18.787000000000003
+    - type: map_at_3
+      value: 14.826
+    - type: map_at_5
+      value: 16.249
+    - type: mrr_at_1
+      value: 10.473
+    - type: mrr_at_10
+      value: 17.967
+    - type: mrr_at_100
+      value: 19.089
+    - type: mrr_at_1000
+      value: 19.177
+    - type: mrr_at_3
+      value: 15.222
+    - type: mrr_at_5
+      value: 16.655
+    - type: ndcg_at_1
+      value: 10.473
+    - type: ndcg_at_10
+      value: 22.148
+    - type: ndcg_at_100
+      value: 28.028
+    - type: ndcg_at_1000
+      value: 30.659
+    - type: ndcg_at_3
+      value: 16.474
+    - type: ndcg_at_5
+      value: 19.017
+    - type: precision_at_1
+      value: 10.473
+    - type: precision_at_10
+      value: 3.7969999999999997
+    - type: precision_at_100
+      value: 0.6779999999999999
+    - type: precision_at_1000
+      value: 0.09
+    - type: precision_at_3
+      value: 7.187
+    - type: precision_at_5
+      value: 5.599
+    - type: recall_at_1
+      value: 10.171
+    - type: recall_at_10
+      value: 36.459
+    - type: recall_at_100
+      value: 64.512
+    - type: recall_at_1000
+      value: 85.27900000000001
+    - type: recall_at_3
+      value: 20.868000000000002
+    - type: recall_at_5
+      value: 26.933
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 90.35795713634292
+    - type: f1
+      value: 89.72064544336776
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 66.4546283629731
+    - type: f1
+      value: 49.487271168215095
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 67.58238063214527
+    - type: f1
+      value: 65.54281371907213
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 73.47343644922664
+    - type: f1
+      value: 72.80522894672785
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 32.53600917473176
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 28.04699774280647
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.984352865575797
+    - type: mrr
+      value: 32.02736001972659
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.666
+    - type: map_at_10
+      value: 10.066
+    - type: map_at_100
+      value: 12.794
+    - type: map_at_1000
+      value: 14.184
+    - type: map_at_3
+      value: 7.622
+    - type: map_at_5
+      value: 8.587
+    - type: mrr_at_1
+      value: 39.318999999999996
+    - type: mrr_at_10
+      value: 47.678
+    - type: mrr_at_100
+      value: 48.355
+    - type: mrr_at_1000
+      value: 48.400999999999996
+    - type: mrr_at_3
+      value: 45.82
+    - type: mrr_at_5
+      value: 46.656
+    - type: ndcg_at_1
+      value: 37.926
+    - type: ndcg_at_10
+      value: 29.049999999999997
+    - type: ndcg_at_100
+      value: 26.826
+    - type: ndcg_at_1000
+      value: 35.841
+    - type: ndcg_at_3
+      value: 33.513
+    - type: ndcg_at_5
+      value: 31.227
+    - type: precision_at_1
+      value: 39.318999999999996
+    - type: precision_at_10
+      value: 21.424000000000003
+    - type: precision_at_100
+      value: 7.231999999999999
+    - type: precision_at_1000
+      value: 2.012
+    - type: precision_at_3
+      value: 30.857
+    - type: precision_at_5
+      value: 26.378
+    - type: recall_at_1
+      value: 4.666
+    - type: recall_at_10
+      value: 13.898
+    - type: recall_at_100
+      value: 26.983
+    - type: recall_at_1000
+      value: 59.485
+    - type: recall_at_3
+      value: 8.953
+    - type: recall_at_5
+      value: 10.496
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.26
+    - type: map_at_10
+      value: 17.907999999999998
+    - type: map_at_100
+      value: 19.245
+    - type: map_at_1000
+      value: 19.339000000000002
+    - type: map_at_3
+      value: 14.634
+    - type: map_at_5
+      value: 16.386
+    - type: mrr_at_1
+      value: 10.574
+    - type: mrr_at_10
+      value: 19.438
+    - type: mrr_at_100
+      value: 20.638
+    - type: mrr_at_1000
+      value: 20.715
+    - type: mrr_at_3
+      value: 16.276
+    - type: mrr_at_5
+      value: 17.971999999999998
+    - type: ndcg_at_1
+      value: 10.574
+    - type: ndcg_at_10
+      value: 23.451
+    - type: ndcg_at_100
+      value: 29.982
+    - type: ndcg_at_1000
+      value: 32.449
+    - type: ndcg_at_3
+      value: 16.817
+    - type: ndcg_at_5
+      value: 19.867
+    - type: precision_at_1
+      value: 10.574
+    - type: precision_at_10
+      value: 4.609
+    - type: precision_at_100
+      value: 0.8330000000000001
+    - type: precision_at_1000
+      value: 0.107
+    - type: precision_at_3
+      value: 8.266
+    - type: precision_at_5
+      value: 6.6739999999999995
+    - type: recall_at_1
+      value: 9.26
+    - type: recall_at_10
+      value: 39.224
+    - type: recall_at_100
+      value: 69.107
+    - type: recall_at_1000
+      value: 87.908
+    - type: recall_at_3
+      value: 21.490000000000002
+    - type: recall_at_5
+      value: 28.560999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 65.655
+    - type: map_at_10
+      value: 79.199
+    - type: map_at_100
+      value: 79.937
+    - type: map_at_1000
+      value: 79.964
+    - type: map_at_3
+      value: 76.19399999999999
+    - type: map_at_5
+      value: 78.08800000000001
+    - type: mrr_at_1
+      value: 75.53999999999999
+    - type: mrr_at_10
+      value: 82.89
+    - type: mrr_at_100
+      value: 83.074
+    - type: mrr_at_1000
+      value: 83.077
+    - type: mrr_at_3
+      value: 81.577
+    - type: mrr_at_5
+      value: 82.452
+    - type: ndcg_at_1
+      value: 75.53999999999999
+    - type: ndcg_at_10
+      value: 83.62899999999999
+    - type: ndcg_at_100
+      value: 85.411
+    - type: ndcg_at_1000
+      value: 85.646
+    - type: ndcg_at_3
+      value: 80.23700000000001
+    - type: ndcg_at_5
+      value: 82.107
+    - type: precision_at_1
+      value: 75.53999999999999
+    - type: precision_at_10
+      value: 12.695
+    - type: precision_at_100
+      value: 1.493
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 34.983
+    - type: precision_at_5
+      value: 23.164
+    - type: recall_at_1
+      value: 65.655
+    - type: recall_at_10
+      value: 92.269
+    - type: recall_at_100
+      value: 98.598
+    - type: recall_at_1000
+      value: 99.815
+    - type: recall_at_3
+      value: 82.616
+    - type: recall_at_5
+      value: 87.75800000000001
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 43.67844919460687
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 54.32866004447611
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.238
+    - type: map_at_10
+      value: 8.539
+    - type: map_at_100
+      value: 10.267
+    - type: map_at_1000
+      value: 10.552999999999999
+    - type: map_at_3
+      value: 6.165
+    - type: map_at_5
+      value: 7.22
+    - type: mrr_at_1
+      value: 15.9
+    - type: mrr_at_10
+      value: 25.557999999999996
+    - type: mrr_at_100
+      value: 26.867
+    - type: mrr_at_1000
+      value: 26.939
+    - type: mrr_at_3
+      value: 22.633
+    - type: mrr_at_5
+      value: 24.233
+    - type: ndcg_at_1
+      value: 15.9
+    - type: ndcg_at_10
+      value: 14.954
+    - type: ndcg_at_100
+      value: 22.486
+    - type: ndcg_at_1000
+      value: 27.986
+    - type: ndcg_at_3
+      value: 14.069
+    - type: ndcg_at_5
+      value: 12.200999999999999
+    - type: precision_at_1
+      value: 15.9
+    - type: precision_at_10
+      value: 7.9399999999999995
+    - type: precision_at_100
+      value: 1.8929999999999998
+    - type: precision_at_1000
+      value: 0.32299999999999995
+    - type: precision_at_3
+      value: 13.5
+    - type: precision_at_5
+      value: 10.9
+    - type: recall_at_1
+      value: 3.238
+    - type: recall_at_10
+      value: 16.1
+    - type: recall_at_100
+      value: 38.427
+    - type: recall_at_1000
+      value: 65.498
+    - type: recall_at_3
+      value: 8.212
+    - type: recall_at_5
+      value: 11.032
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.7612029200118
+    - type: cos_sim_spearman
+      value: 74.17706899450974
+    - type: euclidean_pearson
+      value: 78.6240925347838
+    - type: euclidean_spearman
+      value: 74.22104652352341
+    - type: manhattan_pearson
+      value: 78.49956480878576
+    - type: manhattan_spearman
+      value: 74.0528957569391
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.0377294417705
+    - type: cos_sim_spearman
+      value: 72.19570903733732
+    - type: euclidean_pearson
+      value: 77.060604990743
+    - type: euclidean_spearman
+      value: 71.54251658956483
+    - type: manhattan_pearson
+      value: 77.28301977645965
+    - type: manhattan_spearman
+      value: 71.77449045278667
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.69841558517969
+    - type: cos_sim_spearman
+      value: 80.54022353649157
+    - type: euclidean_pearson
+      value: 80.03651743688496
+    - type: euclidean_spearman
+      value: 80.45116824930123
+    - type: manhattan_pearson
+      value: 79.89688370680031
+    - type: manhattan_spearman
+      value: 80.27208259746283
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.92235427443056
+    - type: cos_sim_spearman
+      value: 76.20243980748161
+    - type: euclidean_pearson
+      value: 79.28031963400572
+    - type: euclidean_spearman
+      value: 76.3568261868673
+    - type: manhattan_pearson
+      value: 79.24527845959733
+    - type: manhattan_spearman
+      value: 76.39886696744185
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.2762365324788
+    - type: cos_sim_spearman
+      value: 85.19929628214842
+    - type: euclidean_pearson
+      value: 84.82568872953075
+    - type: euclidean_spearman
+      value: 85.11039387706913
+    - type: manhattan_pearson
+      value: 84.72922084197847
+    - type: manhattan_spearman
+      value: 85.04448532444505
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.23256564746382
+    - type: cos_sim_spearman
+      value: 81.92968415429543
+    - type: euclidean_pearson
+      value: 81.12612888308936
+    - type: euclidean_spearman
+      value: 81.97396557448675
+    - type: manhattan_pearson
+      value: 81.15685601512081
+    - type: manhattan_spearman
+      value: 82.01929408689
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.35057935029289
+    - type: cos_sim_spearman
+      value: 86.60658025867397
+    - type: euclidean_pearson
+      value: 86.48666975508912
+    - type: euclidean_spearman
+      value: 86.70310223264862
+    - type: manhattan_pearson
+      value: 86.23959282751626
+    - type: manhattan_spearman
+      value: 86.48318896577922
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 63.15375299804011
+    - type: cos_sim_spearman
+      value: 65.4588500819246
+    - type: euclidean_pearson
+      value: 65.60180021985416
+    - type: euclidean_spearman
+      value: 65.55596512146833
+    - type: manhattan_pearson
+      value: 66.12421335157649
+    - type: manhattan_spearman
+      value: 66.05163838991123
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.82391915730462
+    - type: cos_sim_spearman
+      value: 81.93942545767499
+    - type: euclidean_pearson
+      value: 83.16752744889406
+    - type: euclidean_spearman
+      value: 82.31380947581034
+    - type: manhattan_pearson
+      value: 82.98915741609575
+    - type: manhattan_spearman
+      value: 82.16585239338073
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 77.19504204180527
+    - type: mrr
+      value: 92.85429983959396
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 49.528
+    - type: map_at_10
+      value: 57.62199999999999
+    - type: map_at_100
+      value: 58.544
+    - type: map_at_1000
+      value: 58.573
+    - type: map_at_3
+      value: 54.56999999999999
+    - type: map_at_5
+      value: 56.552
+    - type: mrr_at_1
+      value: 52.0
+    - type: mrr_at_10
+      value: 58.939
+    - type: mrr_at_100
+      value: 59.653
+    - type: mrr_at_1000
+      value: 59.68
+    - type: mrr_at_3
+      value: 56.389
+    - type: mrr_at_5
+      value: 57.989000000000004
+    - type: ndcg_at_1
+      value: 52.0
+    - type: ndcg_at_10
+      value: 61.964
+    - type: ndcg_at_100
+      value: 65.871
+    - type: ndcg_at_1000
+      value: 66.724
+    - type: ndcg_at_3
+      value: 56.621
+    - type: ndcg_at_5
+      value: 59.551
+    - type: precision_at_1
+      value: 52.0
+    - type: precision_at_10
+      value: 8.333
+    - type: precision_at_100
+      value: 1.04
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 21.778
+    - type: precision_at_5
+      value: 14.933
+    - type: recall_at_1
+      value: 49.528
+    - type: recall_at_10
+      value: 74.2
+    - type: recall_at_100
+      value: 91.5
+    - type: recall_at_1000
+      value: 98.333
+    - type: recall_at_3
+      value: 60.06700000000001
+    - type: recall_at_5
+      value: 67.133
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.81287128712871
+    - type: cos_sim_ap
+      value: 95.15039468118793
+    - type: cos_sim_f1
+      value: 90.48817312531455
+    - type: cos_sim_precision
+      value: 91.08409321175279
+    - type: cos_sim_recall
+      value: 89.9
+    - type: dot_accuracy
+      value: 99.78019801980199
+    - type: dot_ap
+      value: 93.60256835857994
+    - type: dot_f1
+      value: 88.73096446700508
+    - type: dot_precision
+      value: 90.10309278350516
+    - type: dot_recall
+      value: 87.4
+    - type: euclidean_accuracy
+      value: 99.81188118811882
+    - type: euclidean_ap
+      value: 95.15954231276913
+    - type: euclidean_f1
+      value: 90.48096192384769
+    - type: euclidean_precision
+      value: 90.66265060240963
+    - type: euclidean_recall
+      value: 90.3
+    - type: manhattan_accuracy
+      value: 99.81188118811882
+    - type: manhattan_ap
+      value: 95.17107000565468
+    - type: manhattan_f1
+      value: 90.5
+    - type: manhattan_precision
+      value: 90.5
+    - type: manhattan_recall
+      value: 90.5
+    - type: max_accuracy
+      value: 99.81287128712871
+    - type: max_ap
+      value: 95.17107000565468
+    - type: max_f1
+      value: 90.5
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 51.77488276525734
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.30657214418171
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 47.84571922992432
+    - type: mrr
+      value: 48.549107142857146
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.840750357585556
+    - type: cos_sim_spearman
+      value: 29.832953864936567
+    - type: dot_pearson
+      value: 30.499687946740657
+    - type: dot_spearman
+      value: 30.73436062481656
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.16999999999999998
+    - type: map_at_10
+      value: 1.014
+    - type: map_at_100
+      value: 5.623
+    - type: map_at_1000
+      value: 15.190999999999999
+    - type: map_at_3
+      value: 0.377
+    - type: map_at_5
+      value: 0.577
+    - type: mrr_at_1
+      value: 68.0
+    - type: mrr_at_10
+      value: 74.45
+    - type: mrr_at_100
+      value: 74.846
+    - type: mrr_at_1000
+      value: 74.846
+    - type: mrr_at_3
+      value: 71.333
+    - type: mrr_at_5
+      value: 73.533
+    - type: ndcg_at_1
+      value: 64.0
+    - type: ndcg_at_10
+      value: 47.52
+    - type: ndcg_at_100
+      value: 37.419999999999995
+    - type: ndcg_at_1000
+      value: 36.318
+    - type: ndcg_at_3
+      value: 51.13999999999999
+    - type: ndcg_at_5
+      value: 49.101
+    - type: precision_at_1
+      value: 68.0
+    - type: precision_at_10
+      value: 50.8
+    - type: precision_at_100
+      value: 39.160000000000004
+    - type: precision_at_1000
+      value: 16.948
+    - type: precision_at_3
+      value: 52.0
+    - type: precision_at_5
+      value: 51.6
+    - type: recall_at_1
+      value: 0.16999999999999998
+    - type: recall_at_10
+      value: 1.269
+    - type: recall_at_100
+      value: 8.937000000000001
+    - type: recall_at_1000
+      value: 35.036
+    - type: recall_at_3
+      value: 0.396
+    - type: recall_at_5
+      value: 0.6669999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.672
+    - type: map_at_10
+      value: 6.739000000000001
+    - type: map_at_100
+      value: 12.006
+    - type: map_at_1000
+      value: 13.474
+    - type: map_at_3
+      value: 2.617
+    - type: map_at_5
+      value: 4.329000000000001
+    - type: mrr_at_1
+      value: 20.408
+    - type: mrr_at_10
+      value: 30.764000000000003
+    - type: mrr_at_100
+      value: 32.457
+    - type: mrr_at_1000
+      value: 32.481
+    - type: mrr_at_3
+      value: 26.531
+    - type: mrr_at_5
+      value: 28.877999999999997
+    - type: ndcg_at_1
+      value: 18.367
+    - type: ndcg_at_10
+      value: 17.471999999999998
+    - type: ndcg_at_100
+      value: 29.341
+    - type: ndcg_at_1000
+      value: 41.005
+    - type: ndcg_at_3
+      value: 14.64
+    - type: ndcg_at_5
+      value: 17.039
+    - type: precision_at_1
+      value: 20.408
+    - type: precision_at_10
+      value: 17.551
+    - type: precision_at_100
+      value: 6.673
+    - type: precision_at_1000
+      value: 1.4160000000000001
+    - type: precision_at_3
+      value: 14.966
+    - type: precision_at_5
+      value: 18.776
+    - type: recall_at_1
+      value: 1.672
+    - type: recall_at_10
+      value: 12.795000000000002
+    - type: recall_at_100
+      value: 41.289
+    - type: recall_at_1000
+      value: 76.947
+    - type: recall_at_3
+      value: 3.334
+    - type: recall_at_5
+      value: 6.864000000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 69.3424
+    - type: ap
+      value: 13.45149708639965
+    - type: f1
+      value: 53.278180518373574
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 57.60045274476513
+    - type: f1
+      value: 57.9395926195531
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 36.649067825169446
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.68599868868093
+    - type: cos_sim_ap
+      value: 65.7938550603812
+    - type: cos_sim_f1
+      value: 61.81946735800141
+    - type: cos_sim_precision
+      value: 55.85604770017035
+    - type: cos_sim_recall
+      value: 69.2084432717678
+    - type: dot_accuracy
+      value: 82.09453418370389
+    - type: dot_ap
+      value: 61.00867337905922
+    - type: dot_f1
+      value: 58.56196783349101
+    - type: dot_precision
+      value: 53.06472353193313
+    - type: dot_recall
+      value: 65.32981530343008
+    - type: euclidean_accuracy
+      value: 83.68599868868093
+    - type: euclidean_ap
+      value: 66.17065796133883
+    - type: euclidean_f1
+      value: 62.440610152538135
+    - type: euclidean_precision
+      value: 59.3393536121673
+    - type: euclidean_recall
+      value: 65.88390501319262
+    - type: manhattan_accuracy
+      value: 83.57870894677237
+    - type: manhattan_ap
+      value: 65.89925640001532
+    - type: manhattan_f1
+      value: 62.2255119664446
+    - type: manhattan_precision
+      value: 58.43373493975904
+    - type: manhattan_recall
+      value: 66.54353562005278
+    - type: max_accuracy
+      value: 83.68599868868093
+    - type: max_ap
+      value: 66.17065796133883
+    - type: max_f1
+      value: 62.440610152538135
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.68579966623976
+    - type: cos_sim_ap
+      value: 83.2666595805096
+    - type: cos_sim_f1
+      value: 75.11536297129996
+    - type: cos_sim_precision
+      value: 73.24943294065999
+    - type: cos_sim_recall
+      value: 77.07884200800738
+    - type: dot_accuracy
+      value: 86.76213761788334
+    - type: dot_ap
+      value: 80.85199640255004
+    - type: dot_f1
+      value: 73.27634898520165
+    - type: dot_precision
+      value: 71.70756872282409
+    - type: dot_recall
+      value: 74.91530643671081
+    - type: euclidean_accuracy
+      value: 87.79640625606395
+    - type: euclidean_ap
+      value: 83.52666327503474
+    - type: euclidean_f1
+      value: 75.37022886875523
+    - type: euclidean_precision
+      value: 71.4522249051397
+    - type: euclidean_recall
+      value: 79.74283954419464
+    - type: manhattan_accuracy
+      value: 87.80804905499282
+    - type: manhattan_ap
+      value: 83.4995899990913
+    - type: manhattan_f1
+      value: 75.44320420223242
+    - type: manhattan_precision
+      value: 71.68307223069458
+    - type: manhattan_recall
+      value: 79.6196489066831
+    - type: max_accuracy
+      value: 87.80804905499282
+    - type: max_ap
+      value: 83.52666327503474
+    - type: max_f1
+      value: 75.44320420223242
+---