Update README.md

README.md

@@ -23,6 +23,2501 @@ tags:
 - fever
 - hotpot_qa
 - mteb
+model-index:
+- name: LLM2Vec-Sheared-LLaMA-supervised
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.41791044776119
+    - type: ap
+      value: 41.45458580415683
+    - type: f1
+      value: 71.63305447032735
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 82.0527
+    - type: ap
+      value: 77.3222852456055
+    - type: f1
+      value: 81.97981459031165
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 40.806000000000004
+    - type: f1
+      value: 40.3299129176701
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.391000000000002
+    - type: map_at_10
+      value: 41.919000000000004
+    - type: map_at_100
+      value: 42.846000000000004
+    - type: map_at_1000
+      value: 42.851
+    - type: map_at_3
+      value: 36.260999999999996
+    - type: map_at_5
+      value: 39.528999999999996
+    - type: mrr_at_1
+      value: 26.245
+    - type: mrr_at_10
+      value: 42.215
+    - type: mrr_at_100
+      value: 43.135
+    - type: mrr_at_1000
+      value: 43.14
+    - type: mrr_at_3
+      value: 36.546
+    - type: mrr_at_5
+      value: 39.782000000000004
+    - type: ndcg_at_1
+      value: 25.391000000000002
+    - type: ndcg_at_10
+      value: 51.663000000000004
+    - type: ndcg_at_100
+      value: 55.419
+    - type: ndcg_at_1000
+      value: 55.517
+    - type: ndcg_at_3
+      value: 39.96
+    - type: ndcg_at_5
+      value: 45.909
+    - type: precision_at_1
+      value: 25.391000000000002
+    - type: precision_at_10
+      value: 8.3
+    - type: precision_at_100
+      value: 0.989
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 16.904
+    - type: precision_at_5
+      value: 13.058
+    - type: recall_at_1
+      value: 25.391000000000002
+    - type: recall_at_10
+      value: 83.001
+    - type: recall_at_100
+      value: 98.933
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 50.711
+    - type: recall_at_5
+      value: 65.292
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 43.472186058302285
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 39.846039374129546
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 60.713811638804174
+    - type: mrr
+      value: 73.38906476718111
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_spearman
+      value: 85.88328221005123
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 86.00974025974025
+    - type: f1
+      value: 85.97349359388288
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 37.102075665637685
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 34.27583239919031
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.043
+    - type: map_at_10
+      value: 44.515
+    - type: map_at_100
+      value: 45.967999999999996
+    - type: map_at_1000
+      value: 46.098
+    - type: map_at_3
+      value: 40.285
+    - type: map_at_5
+      value: 42.841
+    - type: mrr_at_1
+      value: 40.2
+    - type: mrr_at_10
+      value: 50.233000000000004
+    - type: mrr_at_100
+      value: 50.938
+    - type: mrr_at_1000
+      value: 50.978
+    - type: mrr_at_3
+      value: 47.353
+    - type: mrr_at_5
+      value: 49.034
+    - type: ndcg_at_1
+      value: 40.2
+    - type: ndcg_at_10
+      value: 51.096
+    - type: ndcg_at_100
+      value: 56.267999999999994
+    - type: ndcg_at_1000
+      value: 58.092999999999996
+    - type: ndcg_at_3
+      value: 45.09
+    - type: ndcg_at_5
+      value: 48.198
+    - type: precision_at_1
+      value: 40.2
+    - type: precision_at_10
+      value: 9.843
+    - type: precision_at_100
+      value: 1.546
+    - type: precision_at_1000
+      value: 0.20400000000000001
+    - type: precision_at_3
+      value: 21.507
+    - type: precision_at_5
+      value: 15.966
+    - type: recall_at_1
+      value: 33.043
+    - type: recall_at_10
+      value: 63.871
+    - type: recall_at_100
+      value: 85.527
+    - type: recall_at_1000
+      value: 96.936
+    - type: recall_at_3
+      value: 46.859
+    - type: recall_at_5
+      value: 55.116
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.924000000000003
+    - type: map_at_10
+      value: 42.298
+    - type: map_at_100
+      value: 43.589
+    - type: map_at_1000
+      value: 43.724000000000004
+    - type: map_at_3
+      value: 39.739999999999995
+    - type: map_at_5
+      value: 41.131
+    - type: mrr_at_1
+      value: 40.064
+    - type: mrr_at_10
+      value: 48.4
+    - type: mrr_at_100
+      value: 49.07
+    - type: mrr_at_1000
+      value: 49.113
+    - type: mrr_at_3
+      value: 46.635
+    - type: mrr_at_5
+      value: 47.549
+    - type: ndcg_at_1
+      value: 40.064
+    - type: ndcg_at_10
+      value: 47.686
+    - type: ndcg_at_100
+      value: 52.054
+    - type: ndcg_at_1000
+      value: 54.151
+    - type: ndcg_at_3
+      value: 44.57
+    - type: ndcg_at_5
+      value: 45.727000000000004
+    - type: precision_at_1
+      value: 40.064
+    - type: precision_at_10
+      value: 8.770999999999999
+    - type: precision_at_100
+      value: 1.422
+    - type: precision_at_1000
+      value: 0.19
+    - type: precision_at_3
+      value: 21.741
+    - type: precision_at_5
+      value: 14.790000000000001
+    - type: recall_at_1
+      value: 31.924000000000003
+    - type: recall_at_10
+      value: 56.603
+    - type: recall_at_100
+      value: 74.82900000000001
+    - type: recall_at_1000
+      value: 88.176
+    - type: recall_at_3
+      value: 46.11
+    - type: recall_at_5
+      value: 50.273999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.721000000000004
+    - type: map_at_10
+      value: 53.053
+    - type: map_at_100
+      value: 54.103
+    - type: map_at_1000
+      value: 54.157999999999994
+    - type: map_at_3
+      value: 49.854
+    - type: map_at_5
+      value: 51.547
+    - type: mrr_at_1
+      value: 46.833999999999996
+    - type: mrr_at_10
+      value: 56.61000000000001
+    - type: mrr_at_100
+      value: 57.286
+    - type: mrr_at_1000
+      value: 57.312
+    - type: mrr_at_3
+      value: 54.17999999999999
+    - type: mrr_at_5
+      value: 55.503
+    - type: ndcg_at_1
+      value: 46.833999999999996
+    - type: ndcg_at_10
+      value: 58.928000000000004
+    - type: ndcg_at_100
+      value: 62.939
+    - type: ndcg_at_1000
+      value: 63.970000000000006
+    - type: ndcg_at_3
+      value: 53.599
+    - type: ndcg_at_5
+      value: 55.96600000000001
+    - type: precision_at_1
+      value: 46.833999999999996
+    - type: precision_at_10
+      value: 9.48
+    - type: precision_at_100
+      value: 1.2349999999999999
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 24.032999999999998
+    - type: precision_at_5
+      value: 16.213
+    - type: recall_at_1
+      value: 40.721000000000004
+    - type: recall_at_10
+      value: 72.653
+    - type: recall_at_100
+      value: 89.91900000000001
+    - type: recall_at_1000
+      value: 97.092
+    - type: recall_at_3
+      value: 58.135999999999996
+    - type: recall_at_5
+      value: 64.156
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.938
+    - type: map_at_10
+      value: 34.027
+    - type: map_at_100
+      value: 34.999
+    - type: map_at_1000
+      value: 35.083
+    - type: map_at_3
+      value: 31.154
+    - type: map_at_5
+      value: 32.767
+    - type: mrr_at_1
+      value: 27.006000000000004
+    - type: mrr_at_10
+      value: 36.192
+    - type: mrr_at_100
+      value: 36.989
+    - type: mrr_at_1000
+      value: 37.053999999999995
+    - type: mrr_at_3
+      value: 33.503
+    - type: mrr_at_5
+      value: 34.977000000000004
+    - type: ndcg_at_1
+      value: 27.006000000000004
+    - type: ndcg_at_10
+      value: 39.297
+    - type: ndcg_at_100
+      value: 44.078
+    - type: ndcg_at_1000
+      value: 46.162
+    - type: ndcg_at_3
+      value: 33.695
+    - type: ndcg_at_5
+      value: 36.401
+    - type: precision_at_1
+      value: 27.006000000000004
+    - type: precision_at_10
+      value: 6.181
+    - type: precision_at_100
+      value: 0.905
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 14.426
+    - type: precision_at_5
+      value: 10.215
+    - type: recall_at_1
+      value: 24.938
+    - type: recall_at_10
+      value: 53.433
+    - type: recall_at_100
+      value: 75.558
+    - type: recall_at_1000
+      value: 91.096
+    - type: recall_at_3
+      value: 38.421
+    - type: recall_at_5
+      value: 44.906
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.565999999999999
+    - type: map_at_10
+      value: 23.419999999999998
+    - type: map_at_100
+      value: 24.678
+    - type: map_at_1000
+      value: 24.801000000000002
+    - type: map_at_3
+      value: 20.465
+    - type: map_at_5
+      value: 21.979000000000003
+    - type: mrr_at_1
+      value: 19.652
+    - type: mrr_at_10
+      value: 27.929
+    - type: mrr_at_100
+      value: 28.92
+    - type: mrr_at_1000
+      value: 28.991
+    - type: mrr_at_3
+      value: 25.249
+    - type: mrr_at_5
+      value: 26.66
+    - type: ndcg_at_1
+      value: 19.652
+    - type: ndcg_at_10
+      value: 28.869
+    - type: ndcg_at_100
+      value: 34.675
+    - type: ndcg_at_1000
+      value: 37.577
+    - type: ndcg_at_3
+      value: 23.535
+    - type: ndcg_at_5
+      value: 25.807999999999996
+    - type: precision_at_1
+      value: 19.652
+    - type: precision_at_10
+      value: 5.659
+    - type: precision_at_100
+      value: 0.979
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 11.401
+    - type: precision_at_5
+      value: 8.581999999999999
+    - type: recall_at_1
+      value: 15.565999999999999
+    - type: recall_at_10
+      value: 41.163
+    - type: recall_at_100
+      value: 66.405
+    - type: recall_at_1000
+      value: 87.071
+    - type: recall_at_3
+      value: 26.478
+    - type: recall_at_5
+      value: 32.217
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.834
+    - type: map_at_10
+      value: 41.49
+    - type: map_at_100
+      value: 42.897999999999996
+    - type: map_at_1000
+      value: 43.004
+    - type: map_at_3
+      value: 38.151
+    - type: map_at_5
+      value: 40.157
+    - type: mrr_at_1
+      value: 38.306000000000004
+    - type: mrr_at_10
+      value: 47.371
+    - type: mrr_at_100
+      value: 48.265
+    - type: mrr_at_1000
+      value: 48.304
+    - type: mrr_at_3
+      value: 44.915
+    - type: mrr_at_5
+      value: 46.516999999999996
+    - type: ndcg_at_1
+      value: 38.306000000000004
+    - type: ndcg_at_10
+      value: 47.394999999999996
+    - type: ndcg_at_100
+      value: 53.086999999999996
+    - type: ndcg_at_1000
+      value: 54.94799999999999
+    - type: ndcg_at_3
+      value: 42.384
+    - type: ndcg_at_5
+      value: 45.055
+    - type: precision_at_1
+      value: 38.306000000000004
+    - type: precision_at_10
+      value: 8.624
+    - type: precision_at_100
+      value: 1.325
+    - type: precision_at_1000
+      value: 0.165
+    - type: precision_at_3
+      value: 20.18
+    - type: precision_at_5
+      value: 14.418000000000001
+    - type: recall_at_1
+      value: 30.834
+    - type: recall_at_10
+      value: 58.977000000000004
+    - type: recall_at_100
+      value: 82.78
+    - type: recall_at_1000
+      value: 94.825
+    - type: recall_at_3
+      value: 44.954
+    - type: recall_at_5
+      value: 51.925
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.549000000000003
+    - type: map_at_10
+      value: 38.796
+    - type: map_at_100
+      value: 40.085
+    - type: map_at_1000
+      value: 40.198
+    - type: map_at_3
+      value: 35.412
+    - type: map_at_5
+      value: 37.116
+    - type: mrr_at_1
+      value: 35.388
+    - type: mrr_at_10
+      value: 44.626
+    - type: mrr_at_100
+      value: 45.445
+    - type: mrr_at_1000
+      value: 45.491
+    - type: mrr_at_3
+      value: 41.952
+    - type: mrr_at_5
+      value: 43.368
+    - type: ndcg_at_1
+      value: 35.388
+    - type: ndcg_at_10
+      value: 44.894
+    - type: ndcg_at_100
+      value: 50.166999999999994
+    - type: ndcg_at_1000
+      value: 52.308
+    - type: ndcg_at_3
+      value: 39.478
+    - type: ndcg_at_5
+      value: 41.608000000000004
+    - type: precision_at_1
+      value: 35.388
+    - type: precision_at_10
+      value: 8.322000000000001
+    - type: precision_at_100
+      value: 1.2670000000000001
+    - type: precision_at_1000
+      value: 0.164
+    - type: precision_at_3
+      value: 18.836
+    - type: precision_at_5
+      value: 13.333
+    - type: recall_at_1
+      value: 28.549000000000003
+    - type: recall_at_10
+      value: 57.229
+    - type: recall_at_100
+      value: 79.541
+    - type: recall_at_1000
+      value: 93.887
+    - type: recall_at_3
+      value: 42.056
+    - type: recall_at_5
+      value: 47.705999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.897333333333336
+    - type: map_at_10
+      value: 36.28758333333334
+    - type: map_at_100
+      value: 37.480083333333326
+    - type: map_at_1000
+      value: 37.59683333333333
+    - type: map_at_3
+      value: 33.3485
+    - type: map_at_5
+      value: 34.98283333333334
+    - type: mrr_at_1
+      value: 31.98916666666667
+    - type: mrr_at_10
+      value: 40.61116666666666
+    - type: mrr_at_100
+      value: 41.42133333333333
+    - type: mrr_at_1000
+      value: 41.476333333333336
+    - type: mrr_at_3
+      value: 38.19366666666667
+    - type: mrr_at_5
+      value: 39.53125
+    - type: ndcg_at_1
+      value: 31.98916666666667
+    - type: ndcg_at_10
+      value: 41.73475
+    - type: ndcg_at_100
+      value: 46.72291666666666
+    - type: ndcg_at_1000
+      value: 48.94916666666666
+    - type: ndcg_at_3
+      value: 36.883833333333335
+    - type: ndcg_at_5
+      value: 39.114
+    - type: precision_at_1
+      value: 31.98916666666667
+    - type: precision_at_10
+      value: 7.364083333333335
+    - type: precision_at_100
+      value: 1.1604166666666667
+    - type: precision_at_1000
+      value: 0.15433333333333335
+    - type: precision_at_3
+      value: 17.067500000000003
+    - type: precision_at_5
+      value: 12.091916666666666
+    - type: recall_at_1
+      value: 26.897333333333336
+    - type: recall_at_10
+      value: 53.485749999999996
+    - type: recall_at_100
+      value: 75.38716666666666
+    - type: recall_at_1000
+      value: 90.75841666666666
+    - type: recall_at_3
+      value: 39.86725
+    - type: recall_at_5
+      value: 45.683416666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.544
+    - type: map_at_10
+      value: 30.85
+    - type: map_at_100
+      value: 31.674000000000003
+    - type: map_at_1000
+      value: 31.778000000000002
+    - type: map_at_3
+      value: 28.451999999999998
+    - type: map_at_5
+      value: 29.797
+    - type: mrr_at_1
+      value: 26.687
+    - type: mrr_at_10
+      value: 33.725
+    - type: mrr_at_100
+      value: 34.439
+    - type: mrr_at_1000
+      value: 34.512
+    - type: mrr_at_3
+      value: 31.493
+    - type: mrr_at_5
+      value: 32.735
+    - type: ndcg_at_1
+      value: 26.687
+    - type: ndcg_at_10
+      value: 35.207
+    - type: ndcg_at_100
+      value: 39.406
+    - type: ndcg_at_1000
+      value: 42.021
+    - type: ndcg_at_3
+      value: 30.842000000000002
+    - type: ndcg_at_5
+      value: 32.882
+    - type: precision_at_1
+      value: 26.687
+    - type: precision_at_10
+      value: 5.66
+    - type: precision_at_100
+      value: 0.836
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 13.395000000000001
+    - type: precision_at_5
+      value: 9.386999999999999
+    - type: recall_at_1
+      value: 23.544
+    - type: recall_at_10
+      value: 45.769
+    - type: recall_at_100
+      value: 65.33200000000001
+    - type: recall_at_1000
+      value: 84.82499999999999
+    - type: recall_at_3
+      value: 33.665
+    - type: recall_at_5
+      value: 38.795
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.524
+    - type: map_at_10
+      value: 23.65
+    - type: map_at_100
+      value: 24.654999999999998
+    - type: map_at_1000
+      value: 24.786
+    - type: map_at_3
+      value: 21.441
+    - type: map_at_5
+      value: 22.664
+    - type: mrr_at_1
+      value: 20.372
+    - type: mrr_at_10
+      value: 27.548000000000002
+    - type: mrr_at_100
+      value: 28.37
+    - type: mrr_at_1000
+      value: 28.449
+    - type: mrr_at_3
+      value: 25.291999999999998
+    - type: mrr_at_5
+      value: 26.596999999999998
+    - type: ndcg_at_1
+      value: 20.372
+    - type: ndcg_at_10
+      value: 28.194000000000003
+    - type: ndcg_at_100
+      value: 32.955
+    - type: ndcg_at_1000
+      value: 35.985
+    - type: ndcg_at_3
+      value: 24.212
+    - type: ndcg_at_5
+      value: 26.051000000000002
+    - type: precision_at_1
+      value: 20.372
+    - type: precision_at_10
+      value: 5.237
+    - type: precision_at_100
+      value: 0.8909999999999999
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 11.643
+    - type: precision_at_5
+      value: 8.424
+    - type: recall_at_1
+      value: 16.524
+    - type: recall_at_10
+      value: 37.969
+    - type: recall_at_100
+      value: 59.48
+    - type: recall_at_1000
+      value: 81.04599999999999
+    - type: recall_at_3
+      value: 26.647
+    - type: recall_at_5
+      value: 31.558999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.273000000000003
+    - type: map_at_10
+      value: 35.176
+    - type: map_at_100
+      value: 36.367
+    - type: map_at_1000
+      value: 36.473
+    - type: map_at_3
+      value: 32.583
+    - type: map_at_5
+      value: 33.977000000000004
+    - type: mrr_at_1
+      value: 30.97
+    - type: mrr_at_10
+      value: 39.31
+    - type: mrr_at_100
+      value: 40.225
+    - type: mrr_at_1000
+      value: 40.284
+    - type: mrr_at_3
+      value: 37.111
+    - type: mrr_at_5
+      value: 38.296
+    - type: ndcg_at_1
+      value: 30.97
+    - type: ndcg_at_10
+      value: 40.323
+    - type: ndcg_at_100
+      value: 45.725
+    - type: ndcg_at_1000
+      value: 48.022
+    - type: ndcg_at_3
+      value: 35.772
+    - type: ndcg_at_5
+      value: 37.741
+    - type: precision_at_1
+      value: 30.97
+    - type: precision_at_10
+      value: 6.819
+    - type: precision_at_100
+      value: 1.061
+    - type: precision_at_1000
+      value: 0.136
+    - type: precision_at_3
+      value: 16.387
+    - type: precision_at_5
+      value: 11.437
+    - type: recall_at_1
+      value: 26.273000000000003
+    - type: recall_at_10
+      value: 51.772
+    - type: recall_at_100
+      value: 75.362
+    - type: recall_at_1000
+      value: 91.232
+    - type: recall_at_3
+      value: 39.172000000000004
+    - type: recall_at_5
+      value: 44.147999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.326
+    - type: map_at_10
+      value: 37.97
+    - type: map_at_100
+      value: 39.602
+    - type: map_at_1000
+      value: 39.812999999999995
+    - type: map_at_3
+      value: 34.838
+    - type: map_at_5
+      value: 36.582
+    - type: mrr_at_1
+      value: 33.992
+    - type: mrr_at_10
+      value: 42.875
+    - type: mrr_at_100
+      value: 43.78
+    - type: mrr_at_1000
+      value: 43.827
+    - type: mrr_at_3
+      value: 40.481
+    - type: mrr_at_5
+      value: 41.657
+    - type: ndcg_at_1
+      value: 33.992
+    - type: ndcg_at_10
+      value: 44.122
+    - type: ndcg_at_100
+      value: 49.652
+    - type: ndcg_at_1000
+      value: 51.919000000000004
+    - type: ndcg_at_3
+      value: 39.285
+    - type: ndcg_at_5
+      value: 41.449999999999996
+    - type: precision_at_1
+      value: 33.992
+    - type: precision_at_10
+      value: 8.32
+    - type: precision_at_100
+      value: 1.617
+    - type: precision_at_1000
+      value: 0.245
+    - type: precision_at_3
+      value: 18.445
+    - type: precision_at_5
+      value: 13.281
+    - type: recall_at_1
+      value: 28.326
+    - type: recall_at_10
+      value: 55.822
+    - type: recall_at_100
+      value: 80.352
+    - type: recall_at_1000
+      value: 94.441
+    - type: recall_at_3
+      value: 41.704
+    - type: recall_at_5
+      value: 47.513
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.526
+    - type: map_at_10
+      value: 30.206
+    - type: map_at_100
+      value: 31.142999999999997
+    - type: map_at_1000
+      value: 31.246000000000002
+    - type: map_at_3
+      value: 27.807
+    - type: map_at_5
+      value: 29.236
+    - type: mrr_at_1
+      value: 24.399
+    - type: mrr_at_10
+      value: 32.515
+    - type: mrr_at_100
+      value: 33.329
+    - type: mrr_at_1000
+      value: 33.400999999999996
+    - type: mrr_at_3
+      value: 30.159999999999997
+    - type: mrr_at_5
+      value: 31.482
+    - type: ndcg_at_1
+      value: 24.399
+    - type: ndcg_at_10
+      value: 34.806
+    - type: ndcg_at_100
+      value: 39.669
+    - type: ndcg_at_1000
+      value: 42.234
+    - type: ndcg_at_3
+      value: 30.144
+    - type: ndcg_at_5
+      value: 32.481
+    - type: precision_at_1
+      value: 24.399
+    - type: precision_at_10
+      value: 5.453
+    - type: precision_at_100
+      value: 0.8410000000000001
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 12.815999999999999
+    - type: precision_at_5
+      value: 9.057
+    - type: recall_at_1
+      value: 22.526
+    - type: recall_at_10
+      value: 46.568
+    - type: recall_at_100
+      value: 69.56099999999999
+    - type: recall_at_1000
+      value: 88.474
+    - type: recall_at_3
+      value: 34.205000000000005
+    - type: recall_at_5
+      value: 39.885999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.363000000000001
+    - type: map_at_10
+      value: 24.101
+    - type: map_at_100
+      value: 26.240000000000002
+    - type: map_at_1000
+      value: 26.427
+    - type: map_at_3
+      value: 20.125
+    - type: map_at_5
+      value: 22.128
+    - type: mrr_at_1
+      value: 32.182
+    - type: mrr_at_10
+      value: 44.711
+    - type: mrr_at_100
+      value: 45.523
+    - type: mrr_at_1000
+      value: 45.551
+    - type: mrr_at_3
+      value: 41.443999999999996
+    - type: mrr_at_5
+      value: 43.473
+    - type: ndcg_at_1
+      value: 32.182
+    - type: ndcg_at_10
+      value: 33.495000000000005
+    - type: ndcg_at_100
+      value: 41.192
+    - type: ndcg_at_1000
+      value: 44.346000000000004
+    - type: ndcg_at_3
+      value: 27.651999999999997
+    - type: ndcg_at_5
+      value: 29.634
+    - type: precision_at_1
+      value: 32.182
+    - type: precision_at_10
+      value: 10.391
+    - type: precision_at_100
+      value: 1.8679999999999999
+    - type: precision_at_1000
+      value: 0.246
+    - type: precision_at_3
+      value: 20.586
+    - type: precision_at_5
+      value: 15.648000000000001
+    - type: recall_at_1
+      value: 14.363000000000001
+    - type: recall_at_10
+      value: 39.706
+    - type: recall_at_100
+      value: 65.763
+    - type: recall_at_1000
+      value: 83.296
+    - type: recall_at_3
+      value: 25.064999999999998
+    - type: recall_at_5
+      value: 31.085
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.698
+    - type: map_at_10
+      value: 20.237
+    - type: map_at_100
+      value: 28.534
+    - type: map_at_1000
+      value: 30.346
+    - type: map_at_3
+      value: 14.097999999999999
+    - type: map_at_5
+      value: 16.567999999999998
+    - type: mrr_at_1
+      value: 68.0
+    - type: mrr_at_10
+      value: 76.35
+    - type: mrr_at_100
+      value: 76.676
+    - type: mrr_at_1000
+      value: 76.68
+    - type: mrr_at_3
+      value: 74.792
+    - type: mrr_at_5
+      value: 75.717
+    - type: ndcg_at_1
+      value: 56.25
+    - type: ndcg_at_10
+      value: 43.578
+    - type: ndcg_at_100
+      value: 47.928
+    - type: ndcg_at_1000
+      value: 55.312
+    - type: ndcg_at_3
+      value: 47.744
+    - type: ndcg_at_5
+      value: 45.257
+    - type: precision_at_1
+      value: 68.0
+    - type: precision_at_10
+      value: 35.275
+    - type: precision_at_100
+      value: 10.985
+    - type: precision_at_1000
+      value: 2.235
+    - type: precision_at_3
+      value: 52.0
+    - type: precision_at_5
+      value: 44.45
+    - type: recall_at_1
+      value: 8.698
+    - type: recall_at_10
+      value: 26.661
+    - type: recall_at_100
+      value: 54.686
+    - type: recall_at_1000
+      value: 77.795
+    - type: recall_at_3
+      value: 15.536
+    - type: recall_at_5
+      value: 19.578
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 48.385000000000005
+    - type: f1
+      value: 43.818784352804165
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 75.399
+    - type: map_at_10
+      value: 83.02199999999999
+    - type: map_at_100
+      value: 83.204
+    - type: map_at_1000
+      value: 83.217
+    - type: map_at_3
+      value: 81.86
+    - type: map_at_5
+      value: 82.677
+    - type: mrr_at_1
+      value: 81.233
+    - type: mrr_at_10
+      value: 88.10900000000001
+    - type: mrr_at_100
+      value: 88.17099999999999
+    - type: mrr_at_1000
+      value: 88.172
+    - type: mrr_at_3
+      value: 87.289
+    - type: mrr_at_5
+      value: 87.897
+    - type: ndcg_at_1
+      value: 81.233
+    - type: ndcg_at_10
+      value: 86.80600000000001
+    - type: ndcg_at_100
+      value: 87.492
+    - type: ndcg_at_1000
+      value: 87.71600000000001
+    - type: ndcg_at_3
+      value: 84.975
+    - type: ndcg_at_5
+      value: 86.158
+    - type: precision_at_1
+      value: 81.233
+    - type: precision_at_10
+      value: 10.299999999999999
+    - type: precision_at_100
+      value: 1.085
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 32.178000000000004
+    - type: precision_at_5
+      value: 20.069
+    - type: recall_at_1
+      value: 75.399
+    - type: recall_at_10
+      value: 93.533
+    - type: recall_at_100
+      value: 96.32300000000001
+    - type: recall_at_1000
+      value: 97.695
+    - type: recall_at_3
+      value: 88.61099999999999
+    - type: recall_at_5
+      value: 91.617
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.564
+    - type: map_at_10
+      value: 33.162000000000006
+    - type: map_at_100
+      value: 35.146
+    - type: map_at_1000
+      value: 35.32
+    - type: map_at_3
+      value: 28.786
+    - type: map_at_5
+      value: 31.22
+    - type: mrr_at_1
+      value: 40.278000000000006
+    - type: mrr_at_10
+      value: 48.577
+    - type: mrr_at_100
+      value: 49.385
+    - type: mrr_at_1000
+      value: 49.423
+    - type: mrr_at_3
+      value: 46.116
+    - type: mrr_at_5
+      value: 47.305
+    - type: ndcg_at_1
+      value: 40.278000000000006
+    - type: ndcg_at_10
+      value: 40.998000000000005
+    - type: ndcg_at_100
+      value: 48.329
+    - type: ndcg_at_1000
+      value: 51.148
+    - type: ndcg_at_3
+      value: 36.852000000000004
+    - type: ndcg_at_5
+      value: 38.146
+    - type: precision_at_1
+      value: 40.278000000000006
+    - type: precision_at_10
+      value: 11.466
+    - type: precision_at_100
+      value: 1.9120000000000001
+    - type: precision_at_1000
+      value: 0.242
+    - type: precision_at_3
+      value: 24.383
+    - type: precision_at_5
+      value: 18.179000000000002
+    - type: recall_at_1
+      value: 20.564
+    - type: recall_at_10
+      value: 48.327999999999996
+    - type: recall_at_100
+      value: 75.89
+    - type: recall_at_1000
+      value: 92.826
+    - type: recall_at_3
+      value: 33.517
+    - type: recall_at_5
+      value: 39.46
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.294000000000004
+    - type: map_at_10
+      value: 55.435
+    - type: map_at_100
+      value: 56.507
+    - type: map_at_1000
+      value: 56.57600000000001
+    - type: map_at_3
+      value: 51.654999999999994
+    - type: map_at_5
+      value: 54.086
+    - type: mrr_at_1
+      value: 68.589
+    - type: mrr_at_10
+      value: 75.837
+    - type: mrr_at_100
+      value: 76.142
+    - type: mrr_at_1000
+      value: 76.155
+    - type: mrr_at_3
+      value: 74.50099999999999
+    - type: mrr_at_5
+      value: 75.339
+    - type: ndcg_at_1
+      value: 68.589
+    - type: ndcg_at_10
+      value: 63.846000000000004
+    - type: ndcg_at_100
+      value: 67.65
+    - type: ndcg_at_1000
+      value: 69.015
+    - type: ndcg_at_3
+      value: 58.355999999999995
+    - type: ndcg_at_5
+      value: 61.489000000000004
+    - type: precision_at_1
+      value: 68.589
+    - type: precision_at_10
+      value: 13.738
+    - type: precision_at_100
+      value: 1.67
+    - type: precision_at_1000
+      value: 0.185
+    - type: precision_at_3
+      value: 37.736
+    - type: precision_at_5
+      value: 25.11
+    - type: recall_at_1
+      value: 34.294000000000004
+    - type: recall_at_10
+      value: 68.69
+    - type: recall_at_100
+      value: 83.477
+    - type: recall_at_1000
+      value: 92.465
+    - type: recall_at_3
+      value: 56.604
+    - type: recall_at_5
+      value: 62.775000000000006
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 75.332
+    - type: ap
+      value: 69.58548013224627
+    - type: f1
+      value: 75.19505914957745
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.373
+    - type: map_at_10
+      value: 31.377
+    - type: map_at_100
+      value: 32.635
+    - type: map_at_1000
+      value: 32.688
+    - type: map_at_3
+      value: 27.337
+    - type: map_at_5
+      value: 29.608
+    - type: mrr_at_1
+      value: 19.900000000000002
+    - type: mrr_at_10
+      value: 31.928
+    - type: mrr_at_100
+      value: 33.14
+    - type: mrr_at_1000
+      value: 33.184999999999995
+    - type: mrr_at_3
+      value: 27.955999999999996
+    - type: mrr_at_5
+      value: 30.209999999999997
+    - type: ndcg_at_1
+      value: 19.900000000000002
+    - type: ndcg_at_10
+      value: 38.324000000000005
+    - type: ndcg_at_100
+      value: 44.45
+    - type: ndcg_at_1000
+      value: 45.728
+    - type: ndcg_at_3
+      value: 30.099999999999998
+    - type: ndcg_at_5
+      value: 34.157
+    - type: precision_at_1
+      value: 19.900000000000002
+    - type: precision_at_10
+      value: 6.246
+    - type: precision_at_100
+      value: 0.932
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 12.937000000000001
+    - type: precision_at_5
+      value: 9.817
+    - type: recall_at_1
+      value: 19.373
+    - type: recall_at_10
+      value: 59.82300000000001
+    - type: recall_at_100
+      value: 88.252
+    - type: recall_at_1000
+      value: 97.962
+    - type: recall_at_3
+      value: 37.480999999999995
+    - type: recall_at_5
+      value: 47.215
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 94.08800729594162
+    - type: f1
+      value: 93.6743110282188
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 77.04742362061104
+    - type: f1
+      value: 59.62885599991211
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 75.58170813718897
+    - type: f1
+      value: 73.57458347240402
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 79.15601882985877
+    - type: f1
+      value: 79.08126473478004
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 33.551020623875196
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 31.110159113704523
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.960982592404424
+    - type: mrr
+      value: 33.106781262600435
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.679
+    - type: map_at_10
+      value: 13.922
+    - type: map_at_100
+      value: 17.949
+    - type: map_at_1000
+      value: 19.573999999999998
+    - type: map_at_3
+      value: 10.061
+    - type: map_at_5
+      value: 11.931
+    - type: mrr_at_1
+      value: 47.678
+    - type: mrr_at_10
+      value: 56.701
+    - type: mrr_at_100
+      value: 57.221
+    - type: mrr_at_1000
+      value: 57.260999999999996
+    - type: mrr_at_3
+      value: 54.334
+    - type: mrr_at_5
+      value: 55.85099999999999
+    - type: ndcg_at_1
+      value: 45.975
+    - type: ndcg_at_10
+      value: 37.117
+    - type: ndcg_at_100
+      value: 34.633
+    - type: ndcg_at_1000
+      value: 43.498
+    - type: ndcg_at_3
+      value: 42.475
+    - type: ndcg_at_5
+      value: 40.438
+    - type: precision_at_1
+      value: 47.678
+    - type: precision_at_10
+      value: 27.647
+    - type: precision_at_100
+      value: 9.08
+    - type: precision_at_1000
+      value: 2.218
+    - type: precision_at_3
+      value: 39.938
+    - type: precision_at_5
+      value: 35.17
+    - type: recall_at_1
+      value: 5.679
+    - type: recall_at_10
+      value: 18.552
+    - type: recall_at_100
+      value: 35.799
+    - type: recall_at_1000
+      value: 68.029
+    - type: recall_at_3
+      value: 11.43
+    - type: recall_at_5
+      value: 14.71
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.055999999999997
+    - type: map_at_10
+      value: 45.547
+    - type: map_at_100
+      value: 46.591
+    - type: map_at_1000
+      value: 46.615
+    - type: map_at_3
+      value: 40.81
+    - type: map_at_5
+      value: 43.673
+    - type: mrr_at_1
+      value: 32.763999999999996
+    - type: mrr_at_10
+      value: 47.937999999999995
+    - type: mrr_at_100
+      value: 48.691
+    - type: mrr_at_1000
+      value: 48.705
+    - type: mrr_at_3
+      value: 43.984
+    - type: mrr_at_5
+      value: 46.467999999999996
+    - type: ndcg_at_1
+      value: 32.763999999999996
+    - type: ndcg_at_10
+      value: 53.891999999999996
+    - type: ndcg_at_100
+      value: 58.167
+    - type: ndcg_at_1000
+      value: 58.67099999999999
+    - type: ndcg_at_3
+      value: 45.007999999999996
+    - type: ndcg_at_5
+      value: 49.805
+    - type: precision_at_1
+      value: 32.763999999999996
+    - type: precision_at_10
+      value: 9.186
+    - type: precision_at_100
+      value: 1.1560000000000001
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 21.012
+    - type: precision_at_5
+      value: 15.348
+    - type: recall_at_1
+      value: 29.055999999999997
+    - type: recall_at_10
+      value: 76.864
+    - type: recall_at_100
+      value: 95.254
+    - type: recall_at_1000
+      value: 98.914
+    - type: recall_at_3
+      value: 53.911
+    - type: recall_at_5
+      value: 64.982
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.393
+    - type: map_at_10
+      value: 83.408
+    - type: map_at_100
+      value: 84.071
+    - type: map_at_1000
+      value: 84.086
+    - type: map_at_3
+      value: 80.372
+    - type: map_at_5
+      value: 82.245
+    - type: mrr_at_1
+      value: 80.06
+    - type: mrr_at_10
+      value: 86.546
+    - type: mrr_at_100
+      value: 86.661
+    - type: mrr_at_1000
+      value: 86.66199999999999
+    - type: mrr_at_3
+      value: 85.56700000000001
+    - type: mrr_at_5
+      value: 86.215
+    - type: ndcg_at_1
+      value: 80.07
+    - type: ndcg_at_10
+      value: 87.372
+    - type: ndcg_at_100
+      value: 88.683
+    - type: ndcg_at_1000
+      value: 88.78
+    - type: ndcg_at_3
+      value: 84.384
+    - type: ndcg_at_5
+      value: 85.978
+    - type: precision_at_1
+      value: 80.07
+    - type: precision_at_10
+      value: 13.345
+    - type: precision_at_100
+      value: 1.5350000000000001
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 36.973
+    - type: precision_at_5
+      value: 24.334
+    - type: recall_at_1
+      value: 69.393
+    - type: recall_at_10
+      value: 94.994
+    - type: recall_at_100
+      value: 99.523
+    - type: recall_at_1000
+      value: 99.97399999999999
+    - type: recall_at_3
+      value: 86.459
+    - type: recall_at_5
+      value: 90.962
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 53.02365304347829
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 60.4722130918676
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.233
+    - type: map_at_10
+      value: 10.333
+    - type: map_at_100
+      value: 12.286
+    - type: map_at_1000
+      value: 12.594
+    - type: map_at_3
+      value: 7.514
+    - type: map_at_5
+      value: 8.774
+    - type: mrr_at_1
+      value: 20.9
+    - type: mrr_at_10
+      value: 31.232
+    - type: mrr_at_100
+      value: 32.287
+    - type: mrr_at_1000
+      value: 32.352
+    - type: mrr_at_3
+      value: 27.766999999999996
+    - type: mrr_at_5
+      value: 29.487000000000002
+    - type: ndcg_at_1
+      value: 20.9
+    - type: ndcg_at_10
+      value: 17.957
+    - type: ndcg_at_100
+      value: 25.526
+    - type: ndcg_at_1000
+      value: 31.097
+    - type: ndcg_at_3
+      value: 16.915
+    - type: ndcg_at_5
+      value: 14.579
+    - type: precision_at_1
+      value: 20.9
+    - type: precision_at_10
+      value: 9.41
+    - type: precision_at_100
+      value: 2.032
+    - type: precision_at_1000
+      value: 0.337
+    - type: precision_at_3
+      value: 15.767000000000001
+    - type: precision_at_5
+      value: 12.659999999999998
+    - type: recall_at_1
+      value: 4.233
+    - type: recall_at_10
+      value: 19.067999999999998
+    - type: recall_at_100
+      value: 41.257
+    - type: recall_at_1000
+      value: 68.487
+    - type: recall_at_3
+      value: 9.618
+    - type: recall_at_5
+      value: 12.853
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_spearman
+      value: 82.25303886615637
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_spearman
+      value: 78.27678362978094
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_spearman
+      value: 85.5228883863618
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_spearman
+      value: 82.48847836687274
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_spearman
+      value: 88.76235312662311
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_spearman
+      value: 87.10893533398001
+  - 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_spearman
+      value: 90.10224405448504
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_spearman
+      value: 68.25088774601221
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_spearman
+      value: 87.15751321128134
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 79.23418699664575
+    - type: mrr
+      value: 93.72032288698955
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 56.511
+    - type: map_at_10
+      value: 67.062
+    - type: map_at_100
+      value: 67.537
+    - type: map_at_1000
+      value: 67.553
+    - type: map_at_3
+      value: 63.375
+    - type: map_at_5
+      value: 65.828
+    - type: mrr_at_1
+      value: 59.333000000000006
+    - type: mrr_at_10
+      value: 67.95
+    - type: mrr_at_100
+      value: 68.284
+    - type: mrr_at_1000
+      value: 68.30000000000001
+    - type: mrr_at_3
+      value: 65.0
+    - type: mrr_at_5
+      value: 66.93299999999999
+    - type: ndcg_at_1
+      value: 59.333000000000006
+    - type: ndcg_at_10
+      value: 72.08099999999999
+    - type: ndcg_at_100
+      value: 74.232
+    - type: ndcg_at_1000
+      value: 74.657
+    - type: ndcg_at_3
+      value: 65.72200000000001
+    - type: ndcg_at_5
+      value: 69.395
+    - type: precision_at_1
+      value: 59.333000000000006
+    - type: precision_at_10
+      value: 9.8
+    - type: precision_at_100
+      value: 1.097
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 25.444
+    - type: precision_at_5
+      value: 17.533
+    - type: recall_at_1
+      value: 56.511
+    - type: recall_at_10
+      value: 86.63300000000001
+    - type: recall_at_100
+      value: 96.667
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 70.217
+    - type: recall_at_5
+      value: 78.806
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.83861386138614
+    - type: cos_sim_ap
+      value: 96.24728474711715
+    - type: cos_sim_f1
+      value: 91.76351692774129
+    - type: cos_sim_precision
+      value: 92.74770173646579
+    - type: cos_sim_recall
+      value: 90.8
+    - type: dot_accuracy
+      value: 99.62475247524752
+    - type: dot_ap
+      value: 88.12302791709324
+    - type: dot_f1
+      value: 81.0187409899087
+    - type: dot_precision
+      value: 77.98334875115633
+    - type: dot_recall
+      value: 84.3
+    - type: euclidean_accuracy
+      value: 99.83465346534653
+    - type: euclidean_ap
+      value: 95.79574410387337
+    - type: euclidean_f1
+      value: 91.56139464375947
+    - type: euclidean_precision
+      value: 92.54341164453524
+    - type: euclidean_recall
+      value: 90.60000000000001
+    - type: manhattan_accuracy
+      value: 99.84059405940594
+    - type: manhattan_ap
+      value: 95.81230332276807
+    - type: manhattan_f1
+      value: 91.80661577608143
+    - type: manhattan_precision
+      value: 93.47150259067357
+    - type: manhattan_recall
+      value: 90.2
+    - type: max_accuracy
+      value: 99.84059405940594
+    - type: max_ap
+      value: 96.24728474711715
+    - type: max_f1
+      value: 91.80661577608143
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 63.035694955649866
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.00935398440242
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 49.61138657342161
+    - type: mrr
+      value: 50.26590749936338
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.994071916424655
+    - type: cos_sim_spearman
+      value: 30.010135460886296
+    - type: dot_pearson
+      value: 27.03290596322524
+    - type: dot_spearman
+      value: 28.824264579690357
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.247
+    - type: map_at_10
+      value: 2.01
+    - type: map_at_100
+      value: 12.912
+    - type: map_at_1000
+      value: 32.35
+    - type: map_at_3
+      value: 0.6859999999999999
+    - type: map_at_5
+      value: 1.089
+    - type: mrr_at_1
+      value: 92.0
+    - type: mrr_at_10
+      value: 95.25
+    - type: mrr_at_100
+      value: 95.25
+    - type: mrr_at_1000
+      value: 95.25
+    - type: mrr_at_3
+      value: 95.0
+    - type: mrr_at_5
+      value: 95.0
+    - type: ndcg_at_1
+      value: 88.0
+    - type: ndcg_at_10
+      value: 80.411
+    - type: ndcg_at_100
+      value: 63.871
+    - type: ndcg_at_1000
+      value: 58.145
+    - type: ndcg_at_3
+      value: 84.75399999999999
+    - type: ndcg_at_5
+      value: 82.372
+    - type: precision_at_1
+      value: 92.0
+    - type: precision_at_10
+      value: 84.8
+    - type: precision_at_100
+      value: 65.84
+    - type: precision_at_1000
+      value: 25.874000000000002
+    - type: precision_at_3
+      value: 90.0
+    - type: precision_at_5
+      value: 88.0
+    - type: recall_at_1
+      value: 0.247
+    - type: recall_at_10
+      value: 2.185
+    - type: recall_at_100
+      value: 16.051000000000002
+    - type: recall_at_1000
+      value: 55.18300000000001
+    - type: recall_at_3
+      value: 0.701
+    - type: recall_at_5
+      value: 1.1360000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.094
+    - type: map_at_10
+      value: 9.078
+    - type: map_at_100
+      value: 15.152
+    - type: map_at_1000
+      value: 16.773
+    - type: map_at_3
+      value: 4.67
+    - type: map_at_5
+      value: 6.111
+    - type: mrr_at_1
+      value: 24.490000000000002
+    - type: mrr_at_10
+      value: 39.989000000000004
+    - type: mrr_at_100
+      value: 41.248000000000005
+    - type: mrr_at_1000
+      value: 41.248000000000005
+    - type: mrr_at_3
+      value: 37.075
+    - type: mrr_at_5
+      value: 38.503
+    - type: ndcg_at_1
+      value: 21.429000000000002
+    - type: ndcg_at_10
+      value: 22.312
+    - type: ndcg_at_100
+      value: 35.077999999999996
+    - type: ndcg_at_1000
+      value: 46.903
+    - type: ndcg_at_3
+      value: 24.241
+    - type: ndcg_at_5
+      value: 21.884
+    - type: precision_at_1
+      value: 24.490000000000002
+    - type: precision_at_10
+      value: 20.816000000000003
+    - type: precision_at_100
+      value: 7.673000000000001
+    - type: precision_at_1000
+      value: 1.569
+    - type: precision_at_3
+      value: 27.211000000000002
+    - type: precision_at_5
+      value: 22.857
+    - type: recall_at_1
+      value: 2.094
+    - type: recall_at_10
+      value: 15.546
+    - type: recall_at_100
+      value: 47.764
+    - type: recall_at_1000
+      value: 84.461
+    - type: recall_at_3
+      value: 5.994
+    - type: recall_at_5
+      value: 8.967
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 69.92240000000001
+    - type: ap
+      value: 14.16088899225379
+    - type: f1
+      value: 54.04609416028299
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 60.764006791171475
+    - type: f1
+      value: 61.06042158638947
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 49.37015403955057
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 86.8510460749836
+    - type: cos_sim_ap
+      value: 76.13675917697662
+    - type: cos_sim_f1
+      value: 69.72121212121213
+    - type: cos_sim_precision
+      value: 64.48430493273543
+    - type: cos_sim_recall
+      value: 75.8839050131926
+    - type: dot_accuracy
+      value: 82.2793109614353
+    - type: dot_ap
+      value: 61.68231214221829
+    - type: dot_f1
+      value: 59.873802290254716
+    - type: dot_precision
+      value: 53.73322147651006
+    - type: dot_recall
+      value: 67.59894459102902
+    - type: euclidean_accuracy
+      value: 86.78548012159504
+    - type: euclidean_ap
+      value: 75.72625794456354
+    - type: euclidean_f1
+      value: 70.13506753376687
+    - type: euclidean_precision
+      value: 66.66666666666666
+    - type: euclidean_recall
+      value: 73.98416886543535
+    - type: manhattan_accuracy
+      value: 86.78548012159504
+    - type: manhattan_ap
+      value: 75.68264053123454
+    - type: manhattan_f1
+      value: 70.11952191235059
+    - type: manhattan_precision
+      value: 66.38378123526638
+    - type: manhattan_recall
+      value: 74.30079155672823
+    - type: max_accuracy
+      value: 86.8510460749836
+    - type: max_ap
+      value: 76.13675917697662
+    - type: max_f1
+      value: 70.13506753376687
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.20712539294446
+    - type: cos_sim_ap
+      value: 86.227146559573
+    - type: cos_sim_f1
+      value: 78.8050795036932
+    - type: cos_sim_precision
+      value: 74.7085201793722
+    - type: cos_sim_recall
+      value: 83.37696335078533
+    - type: dot_accuracy
+      value: 86.59525749990297
+    - type: dot_ap
+      value: 79.7714972191685
+    - type: dot_f1
+      value: 73.45451896105789
+    - type: dot_precision
+      value: 69.70891239715135
+    - type: dot_recall
+      value: 77.62550046196489
+    - type: euclidean_accuracy
+      value: 88.92575775216362
+    - type: euclidean_ap
+      value: 85.58942167175054
+    - type: euclidean_f1
+      value: 78.03423522915516
+    - type: euclidean_precision
+      value: 74.76193835084996
+    - type: euclidean_recall
+      value: 81.60609793655682
+    - type: manhattan_accuracy
+      value: 88.92769821865176
+    - type: manhattan_ap
+      value: 85.58316068024254
+    - type: manhattan_f1
+      value: 78.03337843933242
+    - type: manhattan_precision
+      value: 76.23384253819037
+    - type: manhattan_recall
+      value: 79.91992608561749
+    - type: max_accuracy
+      value: 89.20712539294446
+    - type: max_ap
+      value: 86.227146559573
+    - type: max_f1
+      value: 78.8050795036932
 ---
 
 # LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders