Update README.md

README.md

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 ---
 license: apache-2.0
+tags:
+- mteb
+model-index:
+- name: tiny
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 65.08955223880598
+    - type: ap
+      value: 28.514291209445364
+    - type: f1
+      value: 59.2604580112738
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 70.035375
+    - type: ap
+      value: 64.29444264250405
+    - type: f1
+      value: 69.78382333907138
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 35.343999999999994
+    - type: f1
+      value: 34.69618251902858
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 28.592000000000002
+    - type: map_at_10
+      value: 43.597
+    - type: map_at_100
+      value: 44.614
+    - type: map_at_1000
+      value: 44.624
+    - type: map_at_3
+      value: 38.928000000000004
+    - type: map_at_5
+      value: 41.453
+    - type: mrr_at_1
+      value: 29.232000000000003
+    - type: mrr_at_10
+      value: 43.829
+    - type: mrr_at_100
+      value: 44.852
+    - type: mrr_at_1000
+      value: 44.862
+    - type: mrr_at_3
+      value: 39.118
+    - type: mrr_at_5
+      value: 41.703
+    - type: ndcg_at_1
+      value: 28.592000000000002
+    - type: ndcg_at_10
+      value: 52.081
+    - type: ndcg_at_100
+      value: 56.37
+    - type: ndcg_at_1000
+      value: 56.598000000000006
+    - type: ndcg_at_3
+      value: 42.42
+    - type: ndcg_at_5
+      value: 46.965
+    - type: precision_at_1
+      value: 28.592000000000002
+    - type: precision_at_10
+      value: 7.922999999999999
+    - type: precision_at_100
+      value: 0.979
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 17.52
+    - type: precision_at_5
+      value: 12.717
+    - type: recall_at_1
+      value: 28.592000000000002
+    - type: recall_at_10
+      value: 79.232
+    - type: recall_at_100
+      value: 97.866
+    - type: recall_at_1000
+      value: 99.57300000000001
+    - type: recall_at_3
+      value: 52.559999999999995
+    - type: recall_at_5
+      value: 63.585
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 43.50220588953974
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 32.08725826118282
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 60.25381587694928
+    - type: mrr
+      value: 73.79776194873148
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.47489332445278
+    - type: cos_sim_spearman
+      value: 84.05432487336698
+    - type: euclidean_pearson
+      value: 84.5108222177219
+    - type: euclidean_spearman
+      value: 84.05432487336698
+    - type: manhattan_pearson
+      value: 84.20440618321464
+    - type: manhattan_spearman
+      value: 83.9290208134097
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 76.37337662337663
+    - type: f1
+      value: 75.33296834885043
+  - task:
+      type: Clustering
+    dataset:
+      type: jinaai/big-patent-clustering
+      name: MTEB BigPatentClustering
+      config: default
+      split: test
+      revision: 62d5330920bca426ce9d3c76ea914f15fc83e891
+    metrics:
+    - type: v_measure
+      value: 21.31174373264835
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.481973521597844
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 26.14094256567341
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 32.527
+    - type: map_at_10
+      value: 43.699
+    - type: map_at_100
+      value: 45.03
+    - type: map_at_1000
+      value: 45.157000000000004
+    - type: map_at_3
+      value: 39.943
+    - type: map_at_5
+      value: 42.324
+    - type: mrr_at_1
+      value: 39.771
+    - type: mrr_at_10
+      value: 49.277
+    - type: mrr_at_100
+      value: 49.956
+    - type: mrr_at_1000
+      value: 50.005
+    - type: mrr_at_3
+      value: 46.304
+    - type: mrr_at_5
+      value: 48.493
+    - type: ndcg_at_1
+      value: 39.771
+    - type: ndcg_at_10
+      value: 49.957
+    - type: ndcg_at_100
+      value: 54.678000000000004
+    - type: ndcg_at_1000
+      value: 56.751
+    - type: ndcg_at_3
+      value: 44.608
+    - type: ndcg_at_5
+      value: 47.687000000000005
+    - type: precision_at_1
+      value: 39.771
+    - type: precision_at_10
+      value: 9.557
+    - type: precision_at_100
+      value: 1.5010000000000001
+    - type: precision_at_1000
+      value: 0.194
+    - type: precision_at_3
+      value: 21.173000000000002
+    - type: precision_at_5
+      value: 15.794
+    - type: recall_at_1
+      value: 32.527
+    - type: recall_at_10
+      value: 61.791
+    - type: recall_at_100
+      value: 81.49300000000001
+    - type: recall_at_1000
+      value: 95.014
+    - type: recall_at_3
+      value: 46.605000000000004
+    - type: recall_at_5
+      value: 54.83
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 29.424
+    - type: map_at_10
+      value: 38.667
+    - type: map_at_100
+      value: 39.771
+    - type: map_at_1000
+      value: 39.899
+    - type: map_at_3
+      value: 35.91
+    - type: map_at_5
+      value: 37.45
+    - type: mrr_at_1
+      value: 36.687999999999995
+    - type: mrr_at_10
+      value: 44.673
+    - type: mrr_at_100
+      value: 45.289
+    - type: mrr_at_1000
+      value: 45.338
+    - type: mrr_at_3
+      value: 42.601
+    - type: mrr_at_5
+      value: 43.875
+    - type: ndcg_at_1
+      value: 36.687999999999995
+    - type: ndcg_at_10
+      value: 44.013000000000005
+    - type: ndcg_at_100
+      value: 48.13
+    - type: ndcg_at_1000
+      value: 50.294000000000004
+    - type: ndcg_at_3
+      value: 40.056999999999995
+    - type: ndcg_at_5
+      value: 41.902
+    - type: precision_at_1
+      value: 36.687999999999995
+    - type: precision_at_10
+      value: 8.158999999999999
+    - type: precision_at_100
+      value: 1.321
+    - type: precision_at_1000
+      value: 0.179
+    - type: precision_at_3
+      value: 19.045
+    - type: precision_at_5
+      value: 13.427
+    - type: recall_at_1
+      value: 29.424
+    - type: recall_at_10
+      value: 53.08500000000001
+    - type: recall_at_100
+      value: 70.679
+    - type: recall_at_1000
+      value: 84.66
+    - type: recall_at_3
+      value: 41.399
+    - type: recall_at_5
+      value: 46.632
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 39.747
+    - type: map_at_10
+      value: 51.452
+    - type: map_at_100
+      value: 52.384
+    - type: map_at_1000
+      value: 52.437
+    - type: map_at_3
+      value: 48.213
+    - type: map_at_5
+      value: 50.195
+    - type: mrr_at_1
+      value: 45.391999999999996
+    - type: mrr_at_10
+      value: 54.928
+    - type: mrr_at_100
+      value: 55.532000000000004
+    - type: mrr_at_1000
+      value: 55.565
+    - type: mrr_at_3
+      value: 52.456
+    - type: mrr_at_5
+      value: 54.054
+    - type: ndcg_at_1
+      value: 45.391999999999996
+    - type: ndcg_at_10
+      value: 57.055
+    - type: ndcg_at_100
+      value: 60.751999999999995
+    - type: ndcg_at_1000
+      value: 61.864
+    - type: ndcg_at_3
+      value: 51.662
+    - type: ndcg_at_5
+      value: 54.613
+    - type: precision_at_1
+      value: 45.391999999999996
+    - type: precision_at_10
+      value: 9.103
+    - type: precision_at_100
+      value: 1.1780000000000002
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 22.717000000000002
+    - type: precision_at_5
+      value: 15.812000000000001
+    - type: recall_at_1
+      value: 39.747
+    - type: recall_at_10
+      value: 70.10499999999999
+    - type: recall_at_100
+      value: 86.23100000000001
+    - type: recall_at_1000
+      value: 94.025
+    - type: recall_at_3
+      value: 55.899
+    - type: recall_at_5
+      value: 63.05500000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 27.168999999999997
+    - type: map_at_10
+      value: 34.975
+    - type: map_at_100
+      value: 35.94
+    - type: map_at_1000
+      value: 36.021
+    - type: map_at_3
+      value: 32.35
+    - type: map_at_5
+      value: 33.831
+    - type: mrr_at_1
+      value: 28.701
+    - type: mrr_at_10
+      value: 36.698
+    - type: mrr_at_100
+      value: 37.546
+    - type: mrr_at_1000
+      value: 37.613
+    - type: mrr_at_3
+      value: 34.256
+    - type: mrr_at_5
+      value: 35.685
+    - type: ndcg_at_1
+      value: 28.701
+    - type: ndcg_at_10
+      value: 39.639
+    - type: ndcg_at_100
+      value: 44.389
+    - type: ndcg_at_1000
+      value: 46.46
+    - type: ndcg_at_3
+      value: 34.52
+    - type: ndcg_at_5
+      value: 37.076
+    - type: precision_at_1
+      value: 28.701
+    - type: precision_at_10
+      value: 5.955
+    - type: precision_at_100
+      value: 0.8880000000000001
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 14.274999999999999
+    - type: precision_at_5
+      value: 10.011000000000001
+    - type: recall_at_1
+      value: 27.168999999999997
+    - type: recall_at_10
+      value: 52.347
+    - type: recall_at_100
+      value: 74.1
+    - type: recall_at_1000
+      value: 89.739
+    - type: recall_at_3
+      value: 38.567
+    - type: recall_at_5
+      value: 44.767
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 15.872
+    - type: map_at_10
+      value: 23.153000000000002
+    - type: map_at_100
+      value: 24.311
+    - type: map_at_1000
+      value: 24.432000000000002
+    - type: map_at_3
+      value: 20.707
+    - type: map_at_5
+      value: 21.921
+    - type: mrr_at_1
+      value: 19.776
+    - type: mrr_at_10
+      value: 27.755999999999997
+    - type: mrr_at_100
+      value: 28.709
+    - type: mrr_at_1000
+      value: 28.778
+    - type: mrr_at_3
+      value: 25.186999999999998
+    - type: mrr_at_5
+      value: 26.43
+    - type: ndcg_at_1
+      value: 19.776
+    - type: ndcg_at_10
+      value: 28.288999999999998
+    - type: ndcg_at_100
+      value: 34.011
+    - type: ndcg_at_1000
+      value: 36.916
+    - type: ndcg_at_3
+      value: 23.551
+    - type: ndcg_at_5
+      value: 25.429000000000002
+    - type: precision_at_1
+      value: 19.776
+    - type: precision_at_10
+      value: 5.311
+    - type: precision_at_100
+      value: 0.9440000000000001
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 11.360000000000001
+    - type: precision_at_5
+      value: 8.209
+    - type: recall_at_1
+      value: 15.872
+    - type: recall_at_10
+      value: 39.726
+    - type: recall_at_100
+      value: 65.035
+    - type: recall_at_1000
+      value: 85.846
+    - type: recall_at_3
+      value: 26.432
+    - type: recall_at_5
+      value: 31.22
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 28.126
+    - type: map_at_10
+      value: 37.537
+    - type: map_at_100
+      value: 38.807
+    - type: map_at_1000
+      value: 38.923
+    - type: map_at_3
+      value: 34.65
+    - type: map_at_5
+      value: 36.248000000000005
+    - type: mrr_at_1
+      value: 34.649
+    - type: mrr_at_10
+      value: 42.893
+    - type: mrr_at_100
+      value: 43.721
+    - type: mrr_at_1000
+      value: 43.775999999999996
+    - type: mrr_at_3
+      value: 40.488
+    - type: mrr_at_5
+      value: 41.729
+    - type: ndcg_at_1
+      value: 34.649
+    - type: ndcg_at_10
+      value: 43.072
+    - type: ndcg_at_100
+      value: 48.464
+    - type: ndcg_at_1000
+      value: 50.724000000000004
+    - type: ndcg_at_3
+      value: 38.506
+    - type: ndcg_at_5
+      value: 40.522000000000006
+    - type: precision_at_1
+      value: 34.649
+    - type: precision_at_10
+      value: 7.68
+    - type: precision_at_100
+      value: 1.214
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 18.029999999999998
+    - type: precision_at_5
+      value: 12.666
+    - type: recall_at_1
+      value: 28.126
+    - type: recall_at_10
+      value: 54.396
+    - type: recall_at_100
+      value: 76.988
+    - type: recall_at_1000
+      value: 91.85799999999999
+    - type: recall_at_3
+      value: 41.169
+    - type: recall_at_5
+      value: 46.658
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 26.68
+    - type: map_at_10
+      value: 35.702
+    - type: map_at_100
+      value: 36.864999999999995
+    - type: map_at_1000
+      value: 36.977
+    - type: map_at_3
+      value: 32.828
+    - type: map_at_5
+      value: 34.481
+    - type: mrr_at_1
+      value: 32.991
+    - type: mrr_at_10
+      value: 40.993
+    - type: mrr_at_100
+      value: 41.827
+    - type: mrr_at_1000
+      value: 41.887
+    - type: mrr_at_3
+      value: 38.623000000000005
+    - type: mrr_at_5
+      value: 40.021
+    - type: ndcg_at_1
+      value: 32.991
+    - type: ndcg_at_10
+      value: 41.036
+    - type: ndcg_at_100
+      value: 46.294000000000004
+    - type: ndcg_at_1000
+      value: 48.644
+    - type: ndcg_at_3
+      value: 36.419000000000004
+    - type: ndcg_at_5
+      value: 38.618
+    - type: precision_at_1
+      value: 32.991
+    - type: precision_at_10
+      value: 7.385999999999999
+    - type: precision_at_100
+      value: 1.176
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_3
+      value: 17.122999999999998
+    - type: precision_at_5
+      value: 12.215
+    - type: recall_at_1
+      value: 26.68
+    - type: recall_at_10
+      value: 51.644
+    - type: recall_at_100
+      value: 74.55000000000001
+    - type: recall_at_1000
+      value: 90.825
+    - type: recall_at_3
+      value: 38.579
+    - type: recall_at_5
+      value: 44.512
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 26.30825
+    - type: map_at_10
+      value: 34.97866666666666
+    - type: map_at_100
+      value: 36.109249999999996
+    - type: map_at_1000
+      value: 36.22508333333333
+    - type: map_at_3
+      value: 32.239083333333326
+    - type: map_at_5
+      value: 33.75933333333334
+    - type: mrr_at_1
+      value: 31.05308333333333
+    - type: mrr_at_10
+      value: 39.099833333333336
+    - type: mrr_at_100
+      value: 39.92008333333334
+    - type: mrr_at_1000
+      value: 39.980000000000004
+    - type: mrr_at_3
+      value: 36.75958333333333
+    - type: mrr_at_5
+      value: 38.086416666666665
+    - type: ndcg_at_1
+      value: 31.05308333333333
+    - type: ndcg_at_10
+      value: 40.11558333333334
+    - type: ndcg_at_100
+      value: 45.05966666666667
+    - type: ndcg_at_1000
+      value: 47.36516666666667
+    - type: ndcg_at_3
+      value: 35.490833333333335
+    - type: ndcg_at_5
+      value: 37.64541666666666
+    - type: precision_at_1
+      value: 31.05308333333333
+    - type: precision_at_10
+      value: 6.968416666666666
+    - type: precision_at_100
+      value: 1.1156666666666666
+    - type: precision_at_1000
+      value: 0.14950000000000002
+    - type: precision_at_3
+      value: 16.123
+    - type: precision_at_5
+      value: 11.451166666666666
+    - type: recall_at_1
+      value: 26.30825
+    - type: recall_at_10
+      value: 51.19283333333333
+    - type: recall_at_100
+      value: 73.0285
+    - type: recall_at_1000
+      value: 89.11133333333333
+    - type: recall_at_3
+      value: 38.26208333333333
+    - type: recall_at_5
+      value: 43.855916666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 23.363999999999997
+    - type: map_at_10
+      value: 30.606
+    - type: map_at_100
+      value: 31.491999999999997
+    - type: map_at_1000
+      value: 31.578
+    - type: map_at_3
+      value: 28.610000000000003
+    - type: map_at_5
+      value: 29.602
+    - type: mrr_at_1
+      value: 26.38
+    - type: mrr_at_10
+      value: 33.472
+    - type: mrr_at_100
+      value: 34.299
+    - type: mrr_at_1000
+      value: 34.361999999999995
+    - type: mrr_at_3
+      value: 31.696999999999996
+    - type: mrr_at_5
+      value: 32.503
+    - type: ndcg_at_1
+      value: 26.38
+    - type: ndcg_at_10
+      value: 34.772999999999996
+    - type: ndcg_at_100
+      value: 39.334
+    - type: ndcg_at_1000
+      value: 41.676
+    - type: ndcg_at_3
+      value: 31.097
+    - type: ndcg_at_5
+      value: 32.561
+    - type: precision_at_1
+      value: 26.38
+    - type: precision_at_10
+      value: 5.475
+    - type: precision_at_100
+      value: 0.84
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 13.395000000000001
+    - type: precision_at_5
+      value: 9.11
+    - type: recall_at_1
+      value: 23.363999999999997
+    - type: recall_at_10
+      value: 44.656
+    - type: recall_at_100
+      value: 65.77199999999999
+    - type: recall_at_1000
+      value: 83.462
+    - type: recall_at_3
+      value: 34.213
+    - type: recall_at_5
+      value: 38.091
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 17.971999999999998
+    - type: map_at_10
+      value: 24.913
+    - type: map_at_100
+      value: 25.916
+    - type: map_at_1000
+      value: 26.049
+    - type: map_at_3
+      value: 22.569
+    - type: map_at_5
+      value: 23.858999999999998
+    - type: mrr_at_1
+      value: 21.748
+    - type: mrr_at_10
+      value: 28.711
+    - type: mrr_at_100
+      value: 29.535
+    - type: mrr_at_1000
+      value: 29.621
+    - type: mrr_at_3
+      value: 26.484999999999996
+    - type: mrr_at_5
+      value: 27.701999999999998
+    - type: ndcg_at_1
+      value: 21.748
+    - type: ndcg_at_10
+      value: 29.412
+    - type: ndcg_at_100
+      value: 34.204
+    - type: ndcg_at_1000
+      value: 37.358000000000004
+    - type: ndcg_at_3
+      value: 25.202
+    - type: ndcg_at_5
+      value: 27.128000000000004
+    - type: precision_at_1
+      value: 21.748
+    - type: precision_at_10
+      value: 5.279
+    - type: precision_at_100
+      value: 0.902
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_3
+      value: 11.551
+    - type: precision_at_5
+      value: 8.437999999999999
+    - type: recall_at_1
+      value: 17.971999999999998
+    - type: recall_at_10
+      value: 39.186
+    - type: recall_at_100
+      value: 60.785999999999994
+    - type: recall_at_1000
+      value: 83.372
+    - type: recall_at_3
+      value: 27.584999999999997
+    - type: recall_at_5
+      value: 32.448
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 26.684
+    - type: map_at_10
+      value: 35.188
+    - type: map_at_100
+      value: 36.379
+    - type: map_at_1000
+      value: 36.481
+    - type: map_at_3
+      value: 32.401
+    - type: map_at_5
+      value: 34.132
+    - type: mrr_at_1
+      value: 31.063000000000002
+    - type: mrr_at_10
+      value: 39.104
+    - type: mrr_at_100
+      value: 40.062999999999995
+    - type: mrr_at_1000
+      value: 40.119
+    - type: mrr_at_3
+      value: 36.692
+    - type: mrr_at_5
+      value: 38.161
+    - type: ndcg_at_1
+      value: 31.063000000000002
+    - type: ndcg_at_10
+      value: 40.096
+    - type: ndcg_at_100
+      value: 45.616
+    - type: ndcg_at_1000
+      value: 47.869
+    - type: ndcg_at_3
+      value: 35.256
+    - type: ndcg_at_5
+      value: 37.826
+    - type: precision_at_1
+      value: 31.063000000000002
+    - type: precision_at_10
+      value: 6.622999999999999
+    - type: precision_at_100
+      value: 1.046
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_3
+      value: 15.641
+    - type: precision_at_5
+      value: 11.231
+    - type: recall_at_1
+      value: 26.684
+    - type: recall_at_10
+      value: 51.092999999999996
+    - type: recall_at_100
+      value: 75.099
+    - type: recall_at_1000
+      value: 90.644
+    - type: recall_at_3
+      value: 38.063
+    - type: recall_at_5
+      value: 44.518
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 26.249
+    - type: map_at_10
+      value: 34.694
+    - type: map_at_100
+      value: 36.208
+    - type: map_at_1000
+      value: 36.443
+    - type: map_at_3
+      value: 31.868000000000002
+    - type: map_at_5
+      value: 33.018
+    - type: mrr_at_1
+      value: 31.818
+    - type: mrr_at_10
+      value: 39.416000000000004
+    - type: mrr_at_100
+      value: 40.327
+    - type: mrr_at_1000
+      value: 40.388000000000005
+    - type: mrr_at_3
+      value: 37.120999999999995
+    - type: mrr_at_5
+      value: 38.07
+    - type: ndcg_at_1
+      value: 31.818
+    - type: ndcg_at_10
+      value: 40.405
+    - type: ndcg_at_100
+      value: 45.816
+    - type: ndcg_at_1000
+      value: 48.403
+    - type: ndcg_at_3
+      value: 35.823
+    - type: ndcg_at_5
+      value: 37.191
+    - type: precision_at_1
+      value: 31.818
+    - type: precision_at_10
+      value: 7.806
+    - type: precision_at_100
+      value: 1.518
+    - type: precision_at_1000
+      value: 0.241
+    - type: precision_at_3
+      value: 16.535
+    - type: precision_at_5
+      value: 11.738999999999999
+    - type: recall_at_1
+      value: 26.249
+    - type: recall_at_10
+      value: 50.928
+    - type: recall_at_100
+      value: 75.271
+    - type: recall_at_1000
+      value: 91.535
+    - type: recall_at_3
+      value: 37.322
+    - type: recall_at_5
+      value: 41.318
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 21.884999999999998
+    - type: map_at_10
+      value: 29.158
+    - type: map_at_100
+      value: 30.208000000000002
+    - type: map_at_1000
+      value: 30.304
+    - type: map_at_3
+      value: 26.82
+    - type: map_at_5
+      value: 28.051
+    - type: mrr_at_1
+      value: 23.66
+    - type: mrr_at_10
+      value: 31.277
+    - type: mrr_at_100
+      value: 32.237
+    - type: mrr_at_1000
+      value: 32.308
+    - type: mrr_at_3
+      value: 29.205
+    - type: mrr_at_5
+      value: 30.314000000000004
+    - type: ndcg_at_1
+      value: 23.66
+    - type: ndcg_at_10
+      value: 33.64
+    - type: ndcg_at_100
+      value: 39.028
+    - type: ndcg_at_1000
+      value: 41.423
+    - type: ndcg_at_3
+      value: 29.189
+    - type: ndcg_at_5
+      value: 31.191999999999997
+    - type: precision_at_1
+      value: 23.66
+    - type: precision_at_10
+      value: 5.287
+    - type: precision_at_100
+      value: 0.86
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 12.631
+    - type: precision_at_5
+      value: 8.762
+    - type: recall_at_1
+      value: 21.884999999999998
+    - type: recall_at_10
+      value: 45.357
+    - type: recall_at_100
+      value: 70.338
+    - type: recall_at_1000
+      value: 88.356
+    - type: recall_at_3
+      value: 33.312000000000005
+    - type: recall_at_5
+      value: 38.222
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 13.058
+    - type: map_at_10
+      value: 21.549
+    - type: map_at_100
+      value: 23.287
+    - type: map_at_1000
+      value: 23.444000000000003
+    - type: map_at_3
+      value: 18.18
+    - type: map_at_5
+      value: 19.886
+    - type: mrr_at_1
+      value: 28.73
+    - type: mrr_at_10
+      value: 40.014
+    - type: mrr_at_100
+      value: 40.827000000000005
+    - type: mrr_at_1000
+      value: 40.866
+    - type: mrr_at_3
+      value: 36.602000000000004
+    - type: mrr_at_5
+      value: 38.702
+    - type: ndcg_at_1
+      value: 28.73
+    - type: ndcg_at_10
+      value: 29.881
+    - type: ndcg_at_100
+      value: 36.662
+    - type: ndcg_at_1000
+      value: 39.641999999999996
+    - type: ndcg_at_3
+      value: 24.661
+    - type: ndcg_at_5
+      value: 26.548
+    - type: precision_at_1
+      value: 28.73
+    - type: precision_at_10
+      value: 9.094
+    - type: precision_at_100
+      value: 1.6480000000000001
+    - type: precision_at_1000
+      value: 0.22100000000000003
+    - type: precision_at_3
+      value: 17.98
+    - type: precision_at_5
+      value: 13.811000000000002
+    - type: recall_at_1
+      value: 13.058
+    - type: recall_at_10
+      value: 35.458
+    - type: recall_at_100
+      value: 58.719
+    - type: recall_at_1000
+      value: 75.495
+    - type: recall_at_3
+      value: 22.607
+    - type: recall_at_5
+      value: 28.067999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/dbpedia
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 8.811
+    - type: map_at_10
+      value: 19.134999999999998
+    - type: map_at_100
+      value: 26.905
+    - type: map_at_1000
+      value: 28.503
+    - type: map_at_3
+      value: 13.863
+    - type: map_at_5
+      value: 16.062
+    - type: mrr_at_1
+      value: 67.0
+    - type: mrr_at_10
+      value: 74.607
+    - type: mrr_at_100
+      value: 74.941
+    - type: mrr_at_1000
+      value: 74.954
+    - type: mrr_at_3
+      value: 73.042
+    - type: mrr_at_5
+      value: 73.992
+    - type: ndcg_at_1
+      value: 52.87500000000001
+    - type: ndcg_at_10
+      value: 40.199
+    - type: ndcg_at_100
+      value: 44.901
+    - type: ndcg_at_1000
+      value: 52.239999999999995
+    - type: ndcg_at_3
+      value: 44.983000000000004
+    - type: ndcg_at_5
+      value: 42.137
+    - type: precision_at_1
+      value: 67.0
+    - type: precision_at_10
+      value: 31.8
+    - type: precision_at_100
+      value: 10.315000000000001
+    - type: precision_at_1000
+      value: 2.0420000000000003
+    - type: precision_at_3
+      value: 48.667
+    - type: precision_at_5
+      value: 40.9
+    - type: recall_at_1
+      value: 8.811
+    - type: recall_at_10
+      value: 24.503
+    - type: recall_at_100
+      value: 51.288999999999994
+    - type: recall_at_1000
+      value: 74.827
+    - type: recall_at_3
+      value: 15.254999999999999
+    - type: recall_at_5
+      value: 18.698999999999998
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 41.839999999999996
+    - type: f1
+      value: 37.78718146306379
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 68.47999999999999
+    - type: map_at_10
+      value: 78.782
+    - type: map_at_100
+      value: 79.021
+    - type: map_at_1000
+      value: 79.035
+    - type: map_at_3
+      value: 77.389
+    - type: map_at_5
+      value: 78.347
+    - type: mrr_at_1
+      value: 73.837
+    - type: mrr_at_10
+      value: 83.41499999999999
+    - type: mrr_at_100
+      value: 83.53399999999999
+    - type: mrr_at_1000
+      value: 83.535
+    - type: mrr_at_3
+      value: 82.32300000000001
+    - type: mrr_at_5
+      value: 83.13000000000001
+    - type: ndcg_at_1
+      value: 73.837
+    - type: ndcg_at_10
+      value: 83.404
+    - type: ndcg_at_100
+      value: 84.287
+    - type: ndcg_at_1000
+      value: 84.52199999999999
+    - type: ndcg_at_3
+      value: 81.072
+    - type: ndcg_at_5
+      value: 82.537
+    - type: precision_at_1
+      value: 73.837
+    - type: precision_at_10
+      value: 10.254000000000001
+    - type: precision_at_100
+      value: 1.088
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 31.538
+    - type: precision_at_5
+      value: 19.811
+    - type: recall_at_1
+      value: 68.47999999999999
+    - type: recall_at_10
+      value: 92.98100000000001
+    - type: recall_at_100
+      value: 96.50800000000001
+    - type: recall_at_1000
+      value: 97.925
+    - type: recall_at_3
+      value: 86.764
+    - type: recall_at_5
+      value: 90.39
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 16.786
+    - type: map_at_10
+      value: 26.97
+    - type: map_at_100
+      value: 28.488000000000003
+    - type: map_at_1000
+      value: 28.665000000000003
+    - type: map_at_3
+      value: 23.3
+    - type: map_at_5
+      value: 25.249
+    - type: mrr_at_1
+      value: 33.025
+    - type: mrr_at_10
+      value: 41.86
+    - type: mrr_at_100
+      value: 42.673
+    - type: mrr_at_1000
+      value: 42.714
+    - type: mrr_at_3
+      value: 39.403
+    - type: mrr_at_5
+      value: 40.723
+    - type: ndcg_at_1
+      value: 33.025
+    - type: ndcg_at_10
+      value: 34.522999999999996
+    - type: ndcg_at_100
+      value: 40.831
+    - type: ndcg_at_1000
+      value: 44.01
+    - type: ndcg_at_3
+      value: 30.698999999999998
+    - type: ndcg_at_5
+      value: 31.832
+    - type: precision_at_1
+      value: 33.025
+    - type: precision_at_10
+      value: 9.583
+    - type: precision_at_100
+      value: 1.619
+    - type: precision_at_1000
+      value: 0.22100000000000003
+    - type: precision_at_3
+      value: 20.216
+    - type: precision_at_5
+      value: 15.031
+    - type: recall_at_1
+      value: 16.786
+    - type: recall_at_10
+      value: 41.969
+    - type: recall_at_100
+      value: 66.353
+    - type: recall_at_1000
+      value: 85.299
+    - type: recall_at_3
+      value: 28.111000000000004
+    - type: recall_at_5
+      value: 33.645
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 37.346000000000004
+    - type: map_at_10
+      value: 56.184999999999995
+    - type: map_at_100
+      value: 57.062000000000005
+    - type: map_at_1000
+      value: 57.126999999999995
+    - type: map_at_3
+      value: 52.815
+    - type: map_at_5
+      value: 54.893
+    - type: mrr_at_1
+      value: 74.693
+    - type: mrr_at_10
+      value: 81.128
+    - type: mrr_at_100
+      value: 81.356
+    - type: mrr_at_1000
+      value: 81.363
+    - type: mrr_at_3
+      value: 80.05600000000001
+    - type: mrr_at_5
+      value: 80.74
+    - type: ndcg_at_1
+      value: 74.693
+    - type: ndcg_at_10
+      value: 65.249
+    - type: ndcg_at_100
+      value: 68.357
+    - type: ndcg_at_1000
+      value: 69.64200000000001
+    - type: ndcg_at_3
+      value: 60.377
+    - type: ndcg_at_5
+      value: 63.044
+    - type: precision_at_1
+      value: 74.693
+    - type: precision_at_10
+      value: 13.630999999999998
+    - type: precision_at_100
+      value: 1.606
+    - type: precision_at_1000
+      value: 0.178
+    - type: precision_at_3
+      value: 38.222
+    - type: precision_at_5
+      value: 25.040000000000003
+    - type: recall_at_1
+      value: 37.346000000000004
+    - type: recall_at_10
+      value: 68.157
+    - type: recall_at_100
+      value: 80.297
+    - type: recall_at_1000
+      value: 88.832
+    - type: recall_at_3
+      value: 57.333
+    - type: recall_at_5
+      value: 62.6
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 62.80240000000001
+    - type: ap
+      value: 58.22949464075975
+    - type: f1
+      value: 62.55694937343487
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 20.918
+    - type: map_at_10
+      value: 32.732
+    - type: map_at_100
+      value: 33.922000000000004
+    - type: map_at_1000
+      value: 33.976
+    - type: map_at_3
+      value: 29.051
+    - type: map_at_5
+      value: 31.101
+    - type: mrr_at_1
+      value: 21.418
+    - type: mrr_at_10
+      value: 33.284000000000006
+    - type: mrr_at_100
+      value: 34.426
+    - type: mrr_at_1000
+      value: 34.473
+    - type: mrr_at_3
+      value: 29.644
+    - type: mrr_at_5
+      value: 31.691000000000003
+    - type: ndcg_at_1
+      value: 21.418
+    - type: ndcg_at_10
+      value: 39.427
+    - type: ndcg_at_100
+      value: 45.190999999999995
+    - type: ndcg_at_1000
+      value: 46.544000000000004
+    - type: ndcg_at_3
+      value: 31.885
+    - type: ndcg_at_5
+      value: 35.555
+    - type: precision_at_1
+      value: 21.418
+    - type: precision_at_10
+      value: 6.254999999999999
+    - type: precision_at_100
+      value: 0.915
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 13.591000000000001
+    - type: precision_at_5
+      value: 10.011000000000001
+    - type: recall_at_1
+      value: 20.918
+    - type: recall_at_10
+      value: 60.074000000000005
+    - type: recall_at_100
+      value: 86.726
+    - type: recall_at_1000
+      value: 97.116
+    - type: recall_at_3
+      value: 39.506
+    - type: recall_at_5
+      value: 48.319
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 90.79799361605106
+    - type: f1
+      value: 90.0757957511057
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 58.00501595987233
+    - type: f1
+      value: 39.85731569133947
+  - task:
+      type: Classification
+    dataset:
+      type: masakhane/masakhanews
+      name: MTEB MasakhaNEWSClassification (eng)
+      config: eng
+      split: test
+      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
+    metrics:
+    - type: accuracy
+      value: 77.10970464135022
+    - type: f1
+      value: 76.12037616356896
+  - task:
+      type: Clustering
+    dataset:
+      type: masakhane/masakhanews
+      name: MTEB MasakhaNEWSClusteringP2P (eng)
+      config: eng
+      split: test
+      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
+    metrics:
+    - type: v_measure
+      value: 69.81323966287493
+  - task:
+      type: Clustering
+    dataset:
+      type: masakhane/masakhanews
+      name: MTEB MasakhaNEWSClusteringS2S (eng)
+      config: eng
+      split: test
+      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
+    metrics:
+    - type: v_measure
+      value: 33.112774215788455
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 63.51042367182246
+    - type: f1
+      value: 60.99310361578824
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 71.0053799596503
+    - type: f1
+      value: 69.7794673003686
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.56899174856954
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 26.21848014733929
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.256308756916646
+    - type: mrr
+      value: 31.123872086825656
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 5.07
+    - type: map_at_10
+      value: 11.286999999999999
+    - type: map_at_100
+      value: 13.630999999999998
+    - type: map_at_1000
+      value: 14.844
+    - type: map_at_3
+      value: 8.395
+    - type: map_at_5
+      value: 9.721
+    - type: mrr_at_1
+      value: 41.486000000000004
+    - type: mrr_at_10
+      value: 51.041000000000004
+    - type: mrr_at_100
+      value: 51.661
+    - type: mrr_at_1000
+      value: 51.7
+    - type: mrr_at_3
+      value: 49.226
+    - type: mrr_at_5
+      value: 50.526
+    - type: ndcg_at_1
+      value: 39.783
+    - type: ndcg_at_10
+      value: 30.885
+    - type: ndcg_at_100
+      value: 27.459
+    - type: ndcg_at_1000
+      value: 35.988
+    - type: ndcg_at_3
+      value: 36.705
+    - type: ndcg_at_5
+      value: 34.156
+    - type: precision_at_1
+      value: 41.486000000000004
+    - type: precision_at_10
+      value: 22.415
+    - type: precision_at_100
+      value: 6.819999999999999
+    - type: precision_at_1000
+      value: 1.8980000000000001
+    - type: precision_at_3
+      value: 34.572
+    - type: precision_at_5
+      value: 29.287999999999997
+    - type: recall_at_1
+      value: 5.07
+    - type: recall_at_10
+      value: 14.576
+    - type: recall_at_100
+      value: 27.112000000000002
+    - type: recall_at_1000
+      value: 57.995
+    - type: recall_at_3
+      value: 9.242
+    - type: recall_at_5
+      value: 11.668000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 32.263999999999996
+    - type: map_at_10
+      value: 47.219
+    - type: map_at_100
+      value: 48.209999999999994
+    - type: map_at_1000
+      value: 48.24
+    - type: map_at_3
+      value: 42.905
+    - type: map_at_5
+      value: 45.501000000000005
+    - type: mrr_at_1
+      value: 36.153
+    - type: mrr_at_10
+      value: 49.636
+    - type: mrr_at_100
+      value: 50.357
+    - type: mrr_at_1000
+      value: 50.378
+    - type: mrr_at_3
+      value: 46.094
+    - type: mrr_at_5
+      value: 48.233
+    - type: ndcg_at_1
+      value: 36.124
+    - type: ndcg_at_10
+      value: 54.764
+    - type: ndcg_at_100
+      value: 58.867999999999995
+    - type: ndcg_at_1000
+      value: 59.548
+    - type: ndcg_at_3
+      value: 46.717999999999996
+    - type: ndcg_at_5
+      value: 50.981
+    - type: precision_at_1
+      value: 36.124
+    - type: precision_at_10
+      value: 8.931000000000001
+    - type: precision_at_100
+      value: 1.126
+    - type: precision_at_1000
+      value: 0.11900000000000001
+    - type: precision_at_3
+      value: 21.051000000000002
+    - type: precision_at_5
+      value: 15.104000000000001
+    - type: recall_at_1
+      value: 32.263999999999996
+    - type: recall_at_10
+      value: 75.39099999999999
+    - type: recall_at_100
+      value: 93.038
+    - type: recall_at_1000
+      value: 98.006
+    - type: recall_at_3
+      value: 54.562999999999995
+    - type: recall_at_5
+      value: 64.352
+  - task:
+      type: Classification
+    dataset:
+      type: ag_news
+      name: MTEB NewsClassification
+      config: default
+      split: test
+      revision: eb185aade064a813bc0b7f42de02595523103ca4
+    metrics:
+    - type: accuracy
+      value: 77.75
+    - type: f1
+      value: 77.504243291547
+  - task:
+      type: PairClassification
+    dataset:
+      type: GEM/opusparcus
+      name: MTEB OpusparcusPC (en)
+      config: en
+      split: test
+      revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.89816700610999
+    - type: cos_sim_ap
+      value: 100.0
+    - type: cos_sim_f1
+      value: 99.9490575649516
+    - type: cos_sim_precision
+      value: 100.0
+    - type: cos_sim_recall
+      value: 99.89816700610999
+    - type: dot_accuracy
+      value: 99.89816700610999
+    - type: dot_ap
+      value: 100.0
+    - type: dot_f1
+      value: 99.9490575649516
+    - type: dot_precision
+      value: 100.0
+    - type: dot_recall
+      value: 99.89816700610999
+    - type: euclidean_accuracy
+      value: 99.89816700610999
+    - type: euclidean_ap
+      value: 100.0
+    - type: euclidean_f1
+      value: 99.9490575649516
+    - type: euclidean_precision
+      value: 100.0
+    - type: euclidean_recall
+      value: 99.89816700610999
+    - type: manhattan_accuracy
+      value: 99.89816700610999
+    - type: manhattan_ap
+      value: 100.0
+    - type: manhattan_f1
+      value: 99.9490575649516
+    - type: manhattan_precision
+      value: 100.0
+    - type: manhattan_recall
+      value: 99.89816700610999
+    - type: max_accuracy
+      value: 99.89816700610999
+    - type: max_ap
+      value: 100.0
+    - type: max_f1
+      value: 99.9490575649516
+  - task:
+      type: PairClassification
+    dataset:
+      type: paws-x
+      name: MTEB PawsX (en)
+      config: en
+      split: test
+      revision: 8a04d940a42cd40658986fdd8e3da561533a3646
+    metrics:
+    - type: cos_sim_accuracy
+      value: 61.75000000000001
+    - type: cos_sim_ap
+      value: 57.9482264289061
+    - type: cos_sim_f1
+      value: 62.444061962134256
+    - type: cos_sim_precision
+      value: 45.3953953953954
+    - type: cos_sim_recall
+      value: 100.0
+    - type: dot_accuracy
+      value: 61.75000000000001
+    - type: dot_ap
+      value: 57.94808038610475
+    - type: dot_f1
+      value: 62.444061962134256
+    - type: dot_precision
+      value: 45.3953953953954
+    - type: dot_recall
+      value: 100.0
+    - type: euclidean_accuracy
+      value: 61.75000000000001
+    - type: euclidean_ap
+      value: 57.94808038610475
+    - type: euclidean_f1
+      value: 62.444061962134256
+    - type: euclidean_precision
+      value: 45.3953953953954
+    - type: euclidean_recall
+      value: 100.0
+    - type: manhattan_accuracy
+      value: 61.7
+    - type: manhattan_ap
+      value: 57.996119308184966
+    - type: manhattan_f1
+      value: 62.46078773091669
+    - type: manhattan_precision
+      value: 45.66768603465851
+    - type: manhattan_recall
+      value: 98.78721058434398
+    - type: max_accuracy
+      value: 61.75000000000001
+    - type: max_ap
+      value: 57.996119308184966
+    - type: max_f1
+      value: 62.46078773091669
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+    metrics:
+    - type: map_at_1
+      value: 69.001
+    - type: map_at_10
+      value: 82.573
+    - type: map_at_100
+      value: 83.226
+    - type: map_at_1000
+      value: 83.246
+    - type: map_at_3
+      value: 79.625
+    - type: map_at_5
+      value: 81.491
+    - type: mrr_at_1
+      value: 79.44
+    - type: mrr_at_10
+      value: 85.928
+    - type: mrr_at_100
+      value: 86.05199999999999
+    - type: mrr_at_1000
+      value: 86.054
+    - type: mrr_at_3
+      value: 84.847
+    - type: mrr_at_5
+      value: 85.596
+    - type: ndcg_at_1
+      value: 79.41
+    - type: ndcg_at_10
+      value: 86.568
+    - type: ndcg_at_100
+      value: 87.965
+    - type: ndcg_at_1000
+      value: 88.134
+    - type: ndcg_at_3
+      value: 83.55900000000001
+    - type: ndcg_at_5
+      value: 85.244
+    - type: precision_at_1
+      value: 79.41
+    - type: precision_at_10
+      value: 13.108
+    - type: precision_at_100
+      value: 1.509
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 36.443
+    - type: precision_at_5
+      value: 24.03
+    - type: recall_at_1
+      value: 69.001
+    - type: recall_at_10
+      value: 94.132
+    - type: recall_at_100
+      value: 99.043
+    - type: recall_at_1000
+      value: 99.878
+    - type: recall_at_3
+      value: 85.492
+    - type: recall_at_5
+      value: 90.226
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 48.3161352736264
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+    metrics:
+    - type: v_measure
+      value: 57.83784484156747
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
+    metrics:
+    - type: map_at_1
+      value: 4.403
+    - type: map_at_10
+      value: 10.922
+    - type: map_at_100
+      value: 12.626000000000001
+    - type: map_at_1000
+      value: 12.883
+    - type: map_at_3
+      value: 7.982
+    - type: map_at_5
+      value: 9.442
+    - type: mrr_at_1
+      value: 21.7
+    - type: mrr_at_10
+      value: 31.653
+    - type: mrr_at_100
+      value: 32.757999999999996
+    - type: mrr_at_1000
+      value: 32.824999999999996
+    - type: mrr_at_3
+      value: 28.266999999999996
+    - type: mrr_at_5
+      value: 30.127
+    - type: ndcg_at_1
+      value: 21.7
+    - type: ndcg_at_10
+      value: 18.355
+    - type: ndcg_at_100
+      value: 25.228
+    - type: ndcg_at_1000
+      value: 30.164
+    - type: ndcg_at_3
+      value: 17.549
+    - type: ndcg_at_5
+      value: 15.260000000000002
+    - type: precision_at_1
+      value: 21.7
+    - type: precision_at_10
+      value: 9.47
+    - type: precision_at_100
+      value: 1.9290000000000003
+    - type: precision_at_1000
+      value: 0.312
+    - type: precision_at_3
+      value: 16.3
+    - type: precision_at_5
+      value: 13.28
+    - type: recall_at_1
+      value: 4.403
+    - type: recall_at_10
+      value: 19.18
+    - type: recall_at_100
+      value: 39.182
+    - type: recall_at_1000
+      value: 63.378
+    - type: recall_at_3
+      value: 9.934999999999999
+    - type: recall_at_5
+      value: 13.459999999999999
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.90841073432534
+    - type: cos_sim_spearman
+      value: 69.2566375434526
+    - type: euclidean_pearson
+      value: 73.00183878559413
+    - type: euclidean_spearman
+      value: 69.25664656235413
+    - type: manhattan_pearson
+      value: 72.89594756197533
+    - type: manhattan_spearman
+      value: 69.23247111043545
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 69.60878511794063
+    - type: cos_sim_spearman
+      value: 65.89916377105551
+    - type: euclidean_pearson
+      value: 66.90761876557181
+    - type: euclidean_spearman
+      value: 65.89915018368384
+    - type: manhattan_pearson
+      value: 66.78502575257721
+    - type: manhattan_spearman
+      value: 65.79977053467938
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.2869334987418
+    - type: cos_sim_spearman
+      value: 77.86961921643416
+    - type: euclidean_pearson
+      value: 77.43179820479914
+    - type: euclidean_spearman
+      value: 77.86961921643416
+    - type: manhattan_pearson
+      value: 77.18900647348373
+    - type: manhattan_spearman
+      value: 77.61209060062608
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.26453932960364
+    - type: cos_sim_spearman
+      value: 72.81574657995401
+    - type: euclidean_pearson
+      value: 75.0708953437423
+    - type: euclidean_spearman
+      value: 72.81574657995401
+    - type: manhattan_pearson
+      value: 74.88396609999512
+    - type: manhattan_spearman
+      value: 72.65437562156805
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.37827653919395
+    - type: cos_sim_spearman
+      value: 83.4885552472602
+    - type: euclidean_pearson
+      value: 82.89377087926749
+    - type: euclidean_spearman
+      value: 83.4885552472602
+    - type: manhattan_pearson
+      value: 82.82440771787735
+    - type: manhattan_spearman
+      value: 83.41449537888975
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.7995043673964
+    - type: cos_sim_spearman
+      value: 80.57804447517638
+    - type: euclidean_pearson
+      value: 80.03013884278195
+    - type: euclidean_spearman
+      value: 80.57804447517638
+    - type: manhattan_pearson
+      value: 80.13406111544424
+    - type: manhattan_spearman
+      value: 80.65354602648962
+  - 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: 83.63565989937278
+    - type: cos_sim_spearman
+      value: 84.4948593656943
+    - type: euclidean_pearson
+      value: 84.68743074820951
+    - type: euclidean_spearman
+      value: 84.4948593656943
+    - type: manhattan_pearson
+      value: 84.43639397781811
+    - type: manhattan_spearman
+      value: 84.32595552115242
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 65.06382649277246
+    - type: cos_sim_spearman
+      value: 66.28447782018655
+    - type: euclidean_pearson
+      value: 67.09895930908392
+    - type: euclidean_spearman
+      value: 66.28447782018655
+    - type: manhattan_pearson
+      value: 66.96342453888376
+    - type: manhattan_spearman
+      value: 66.33876259551842
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.43883428940346
+    - type: cos_sim_spearman
+      value: 79.18395553127085
+    - type: euclidean_pearson
+      value: 79.22986635457109
+    - type: euclidean_spearman
+      value: 79.18395553127085
+    - type: manhattan_pearson
+      value: 79.10921229934691
+    - type: manhattan_spearman
+      value: 79.02283553930171
+  - task:
+      type: STS
+    dataset:
+      type: PhilipMay/stsb_multi_mt
+      name: MTEB STSBenchmarkMultilingualSTS (en)
+      config: en
+      split: test
+      revision: 93d57ef91790589e3ce9c365164337a8a78b7632
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.43883433444418
+    - type: cos_sim_spearman
+      value: 79.18395553127085
+    - type: euclidean_pearson
+      value: 79.22986642351681
+    - type: euclidean_spearman
+      value: 79.18395553127085
+    - type: manhattan_pearson
+      value: 79.10921236746302
+    - type: manhattan_spearman
+      value: 79.02283553930171
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 76.9361627171417
+    - type: mrr
+      value: 93.06577046773126
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 50.693999999999996
+    - type: map_at_10
+      value: 59.784000000000006
+    - type: map_at_100
+      value: 60.443000000000005
+    - type: map_at_1000
+      value: 60.480000000000004
+    - type: map_at_3
+      value: 57.028
+    - type: map_at_5
+      value: 58.306999999999995
+    - type: mrr_at_1
+      value: 53.333
+    - type: mrr_at_10
+      value: 61.565000000000005
+    - type: mrr_at_100
+      value: 62.095
+    - type: mrr_at_1000
+      value: 62.131
+    - type: mrr_at_3
+      value: 59.721999999999994
+    - type: mrr_at_5
+      value: 60.589000000000006
+    - type: ndcg_at_1
+      value: 53.333
+    - type: ndcg_at_10
+      value: 64.512
+    - type: ndcg_at_100
+      value: 67.366
+    - type: ndcg_at_1000
+      value: 68.46799999999999
+    - type: ndcg_at_3
+      value: 59.748999999999995
+    - type: ndcg_at_5
+      value: 61.526
+    - type: precision_at_1
+      value: 53.333
+    - type: precision_at_10
+      value: 8.733
+    - type: precision_at_100
+      value: 1.027
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 23.222
+    - type: precision_at_5
+      value: 15.2
+    - type: recall_at_1
+      value: 50.693999999999996
+    - type: recall_at_10
+      value: 77.333
+    - type: recall_at_100
+      value: 90.10000000000001
+    - type: recall_at_1000
+      value: 99.0
+    - type: recall_at_3
+      value: 64.39399999999999
+    - type: recall_at_5
+      value: 68.7
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.81386138613861
+    - type: cos_sim_ap
+      value: 94.96375600031361
+    - type: cos_sim_f1
+      value: 90.36885245901641
+    - type: cos_sim_precision
+      value: 92.64705882352942
+    - type: cos_sim_recall
+      value: 88.2
+    - type: dot_accuracy
+      value: 99.81386138613861
+    - type: dot_ap
+      value: 94.96375600031361
+    - type: dot_f1
+      value: 90.36885245901641
+    - type: dot_precision
+      value: 92.64705882352942
+    - type: dot_recall
+      value: 88.2
+    - type: euclidean_accuracy
+      value: 99.81386138613861
+    - type: euclidean_ap
+      value: 94.96375600031361
+    - type: euclidean_f1
+      value: 90.36885245901641
+    - type: euclidean_precision
+      value: 92.64705882352942
+    - type: euclidean_recall
+      value: 88.2
+    - type: manhattan_accuracy
+      value: 99.81287128712871
+    - type: manhattan_ap
+      value: 94.92563500640084
+    - type: manhattan_f1
+      value: 90.27277406073082
+    - type: manhattan_precision
+      value: 93.00106044538707
+    - type: manhattan_recall
+      value: 87.7
+    - type: max_accuracy
+      value: 99.81386138613861
+    - type: max_ap
+      value: 94.96375600031361
+    - type: max_f1
+      value: 90.36885245901641
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 57.486984956276274
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.58453023612073
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 50.16317315282306
+    - type: mrr
+      value: 50.82617137764197
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.2927995133324
+    - type: cos_sim_spearman
+      value: 30.09648622523191
+    - type: dot_pearson
+      value: 30.29279853541771
+    - type: dot_spearman
+      value: 30.09648622523191
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
+    metrics:
+    - type: map_at_1
+      value: 0.23500000000000001
+    - type: map_at_10
+      value: 2.01
+    - type: map_at_100
+      value: 12.064
+    - type: map_at_1000
+      value: 27.437
+    - type: map_at_3
+      value: 0.6649999999999999
+    - type: map_at_5
+      value: 1.0959999999999999
+    - type: mrr_at_1
+      value: 88.0
+    - type: mrr_at_10
+      value: 92.667
+    - type: mrr_at_100
+      value: 92.667
+    - type: mrr_at_1000
+      value: 92.667
+    - type: mrr_at_3
+      value: 91.667
+    - type: mrr_at_5
+      value: 92.667
+    - type: ndcg_at_1
+      value: 84.0
+    - type: ndcg_at_10
+      value: 79.431
+    - type: ndcg_at_100
+      value: 60.914
+    - type: ndcg_at_1000
+      value: 52.005
+    - type: ndcg_at_3
+      value: 82.285
+    - type: ndcg_at_5
+      value: 81.565
+    - type: precision_at_1
+      value: 88.0
+    - type: precision_at_10
+      value: 84.8
+    - type: precision_at_100
+      value: 62.32
+    - type: precision_at_1000
+      value: 23.014000000000003
+    - type: precision_at_3
+      value: 86.667
+    - type: precision_at_5
+      value: 87.2
+    - type: recall_at_1
+      value: 0.23500000000000001
+    - type: recall_at_10
+      value: 2.19
+    - type: recall_at_100
+      value: 14.904
+    - type: recall_at_1000
+      value: 47.875
+    - type: recall_at_3
+      value: 0.695
+    - type: recall_at_5
+      value: 1.165
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 3.639
+    - type: map_at_10
+      value: 14.184
+    - type: map_at_100
+      value: 20.61
+    - type: map_at_1000
+      value: 22.377
+    - type: map_at_3
+      value: 9.163
+    - type: map_at_5
+      value: 10.773000000000001
+    - type: mrr_at_1
+      value: 46.939
+    - type: mrr_at_10
+      value: 59.345000000000006
+    - type: mrr_at_100
+      value: 60.07599999999999
+    - type: mrr_at_1000
+      value: 60.07599999999999
+    - type: mrr_at_3
+      value: 55.782
+    - type: mrr_at_5
+      value: 58.231
+    - type: ndcg_at_1
+      value: 41.837
+    - type: ndcg_at_10
+      value: 32.789
+    - type: ndcg_at_100
+      value: 42.232
+    - type: ndcg_at_1000
+      value: 53.900999999999996
+    - type: ndcg_at_3
+      value: 41.963
+    - type: ndcg_at_5
+      value: 35.983
+    - type: precision_at_1
+      value: 46.939
+    - type: precision_at_10
+      value: 28.163
+    - type: precision_at_100
+      value: 8.102
+    - type: precision_at_1000
+      value: 1.59
+    - type: precision_at_3
+      value: 44.897999999999996
+    - type: precision_at_5
+      value: 34.694
+    - type: recall_at_1
+      value: 3.639
+    - type: recall_at_10
+      value: 19.308
+    - type: recall_at_100
+      value: 48.992000000000004
+    - type: recall_at_1000
+      value: 84.59400000000001
+    - type: recall_at_3
+      value: 9.956
+    - type: recall_at_5
+      value: 12.33
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 64.305
+    - type: ap
+      value: 11.330746746072599
+    - type: f1
+      value: 49.290704382387865
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 56.1941143180532
+    - type: f1
+      value: 56.40189765095578
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 36.28189332526842
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.1912737676581
+    - type: cos_sim_ap
+      value: 64.31536990146257
+    - type: cos_sim_f1
+      value: 61.095167030191696
+    - type: cos_sim_precision
+      value: 54.074375127006704
+    - type: cos_sim_recall
+      value: 70.21108179419525
+    - type: dot_accuracy
+      value: 83.1912737676581
+    - type: dot_ap
+      value: 64.31539216162541
+    - type: dot_f1
+      value: 61.095167030191696
+    - type: dot_precision
+      value: 54.074375127006704
+    - type: dot_recall
+      value: 70.21108179419525
+    - type: euclidean_accuracy
+      value: 83.1912737676581
+    - type: euclidean_ap
+      value: 64.31538391358727
+    - type: euclidean_f1
+      value: 61.095167030191696
+    - type: euclidean_precision
+      value: 54.074375127006704
+    - type: euclidean_recall
+      value: 70.21108179419525
+    - type: manhattan_accuracy
+      value: 83.07206294331525
+    - type: manhattan_ap
+      value: 64.14646315556838
+    - type: manhattan_f1
+      value: 61.194029850746254
+    - type: manhattan_precision
+      value: 54.166666666666664
+    - type: manhattan_recall
+      value: 70.31662269129288
+    - type: max_accuracy
+      value: 83.1912737676581
+    - type: max_ap
+      value: 64.31539216162541
+    - type: max_f1
+      value: 61.194029850746254
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.38242713548337
+    - type: cos_sim_ap
+      value: 84.70041255196017
+    - type: cos_sim_f1
+      value: 77.13222561986515
+    - type: cos_sim_precision
+      value: 73.95266690215472
+    - type: cos_sim_recall
+      value: 80.59747459193102
+    - type: dot_accuracy
+      value: 88.38242713548337
+    - type: dot_ap
+      value: 84.7004118720222
+    - type: dot_f1
+      value: 77.13222561986515
+    - type: dot_precision
+      value: 73.95266690215472
+    - type: dot_recall
+      value: 80.59747459193102
+    - type: euclidean_accuracy
+      value: 88.38242713548337
+    - type: euclidean_ap
+      value: 84.70041593996575
+    - type: euclidean_f1
+      value: 77.13222561986515
+    - type: euclidean_precision
+      value: 73.95266690215472
+    - type: euclidean_recall
+      value: 80.59747459193102
+    - type: manhattan_accuracy
+      value: 88.36108200411378
+    - type: manhattan_ap
+      value: 84.66897701572054
+    - type: manhattan_f1
+      value: 77.00707640360645
+    - type: manhattan_precision
+      value: 72.17695778062082
+    - type: manhattan_recall
+      value: 82.53002771789343
+    - type: max_accuracy
+      value: 88.38242713548337
+    - type: max_ap
+      value: 84.70041593996575
+    - type: max_f1
+      value: 77.13222561986515
+  - task:
+      type: Clustering
+    dataset:
+      type: jinaai/cities_wiki_clustering
+      name: MTEB WikiCitiesClustering
+      config: default
+      split: test
+      revision: ddc9ee9242fa65332597f70e967ecc38b9d734fa
+    metrics:
+    - type: v_measure
+      value: 81.46426354153643
 ---