Update README.md

README.md

@@ -23,6 +23,2501 @@ tags:
 - fever
 - hotpot_qa
 - mteb
+model-index:
+- name: LLM2Vec-Sheared-LLaMA-unsupervised
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 72.92537313432835
+    - type: ap
+      value: 36.6875749512053
+    - type: f1
+      value: 67.36274146169845
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 74.282675
+    - type: ap
+      value: 69.15441866642587
+    - type: f1
+      value: 74.13028166370813
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 36.136
+    - type: f1
+      value: 35.840498320506235
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.407999999999998
+    - type: map_at_10
+      value: 35.474
+    - type: map_at_100
+      value: 36.653999999999996
+    - type: map_at_1000
+      value: 36.68
+    - type: map_at_3
+      value: 30.974
+    - type: map_at_5
+      value: 33.265
+    - type: mrr_at_1
+      value: 22.119
+    - type: mrr_at_10
+      value: 35.714
+    - type: mrr_at_100
+      value: 36.895
+    - type: mrr_at_1000
+      value: 36.921
+    - type: mrr_at_3
+      value: 31.2
+    - type: mrr_at_5
+      value: 33.518
+    - type: ndcg_at_1
+      value: 21.407999999999998
+    - type: ndcg_at_10
+      value: 43.644
+    - type: ndcg_at_100
+      value: 49.035000000000004
+    - type: ndcg_at_1000
+      value: 49.685
+    - type: ndcg_at_3
+      value: 34.174
+    - type: ndcg_at_5
+      value: 38.288
+    - type: precision_at_1
+      value: 21.407999999999998
+    - type: precision_at_10
+      value: 6.999
+    - type: precision_at_100
+      value: 0.9440000000000001
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 14.485999999999999
+    - type: precision_at_5
+      value: 10.683
+    - type: recall_at_1
+      value: 21.407999999999998
+    - type: recall_at_10
+      value: 69.986
+    - type: recall_at_100
+      value: 94.381
+    - type: recall_at_1000
+      value: 99.431
+    - type: recall_at_3
+      value: 43.457
+    - type: recall_at_5
+      value: 53.413999999999994
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 42.915010245699904
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 35.19568272188972
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 52.696972763822615
+    - type: mrr
+      value: 65.87136701402629
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_spearman
+      value: 75.12038636775851
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 78.99675324675324
+    - type: f1
+      value: 78.90527329824852
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 35.02170435970243
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 27.208216971540782
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.432
+    - type: map_at_10
+      value: 23.769000000000002
+    - type: map_at_100
+      value: 25.038
+    - type: map_at_1000
+      value: 25.208000000000002
+    - type: map_at_3
+      value: 21.532999999999998
+    - type: map_at_5
+      value: 22.668
+    - type: mrr_at_1
+      value: 21.316
+    - type: mrr_at_10
+      value: 28.89
+    - type: mrr_at_100
+      value: 29.799999999999997
+    - type: mrr_at_1000
+      value: 29.887999999999998
+    - type: mrr_at_3
+      value: 26.705000000000002
+    - type: mrr_at_5
+      value: 27.864
+    - type: ndcg_at_1
+      value: 21.316
+    - type: ndcg_at_10
+      value: 28.656
+    - type: ndcg_at_100
+      value: 34.405
+    - type: ndcg_at_1000
+      value: 37.771
+    - type: ndcg_at_3
+      value: 24.98
+    - type: ndcg_at_5
+      value: 26.384999999999998
+    - type: precision_at_1
+      value: 21.316
+    - type: precision_at_10
+      value: 5.8229999999999995
+    - type: precision_at_100
+      value: 1.157
+    - type: precision_at_1000
+      value: 0.181
+    - type: precision_at_3
+      value: 12.446
+    - type: precision_at_5
+      value: 8.984
+    - type: recall_at_1
+      value: 16.432
+    - type: recall_at_10
+      value: 37.696000000000005
+    - type: recall_at_100
+      value: 63.198
+    - type: recall_at_1000
+      value: 86.651
+    - type: recall_at_3
+      value: 26.651000000000003
+    - type: recall_at_5
+      value: 30.901
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.106
+    - type: map_at_10
+      value: 21.770999999999997
+    - type: map_at_100
+      value: 22.538
+    - type: map_at_1000
+      value: 22.656000000000002
+    - type: map_at_3
+      value: 19.918
+    - type: map_at_5
+      value: 20.957
+    - type: mrr_at_1
+      value: 21.083
+    - type: mrr_at_10
+      value: 26.502
+    - type: mrr_at_100
+      value: 27.161
+    - type: mrr_at_1000
+      value: 27.234
+    - type: mrr_at_3
+      value: 24.735
+    - type: mrr_at_5
+      value: 25.753999999999998
+    - type: ndcg_at_1
+      value: 21.083
+    - type: ndcg_at_10
+      value: 25.625999999999998
+    - type: ndcg_at_100
+      value: 29.152
+    - type: ndcg_at_1000
+      value: 32.025
+    - type: ndcg_at_3
+      value: 22.721
+    - type: ndcg_at_5
+      value: 24.029
+    - type: precision_at_1
+      value: 21.083
+    - type: precision_at_10
+      value: 4.8919999999999995
+    - type: precision_at_100
+      value: 0.844
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 11.104
+    - type: precision_at_5
+      value: 7.987
+    - type: recall_at_1
+      value: 16.106
+    - type: recall_at_10
+      value: 32.385999999999996
+    - type: recall_at_100
+      value: 47.961999999999996
+    - type: recall_at_1000
+      value: 67.63900000000001
+    - type: recall_at_3
+      value: 23.568
+    - type: recall_at_5
+      value: 27.326
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.517
+    - type: map_at_10
+      value: 29.593999999999998
+    - type: map_at_100
+      value: 30.695
+    - type: map_at_1000
+      value: 30.803000000000004
+    - type: map_at_3
+      value: 27.592
+    - type: map_at_5
+      value: 28.768
+    - type: mrr_at_1
+      value: 26.27
+    - type: mrr_at_10
+      value: 33.076
+    - type: mrr_at_100
+      value: 33.998
+    - type: mrr_at_1000
+      value: 34.073
+    - type: mrr_at_3
+      value: 31.223
+    - type: mrr_at_5
+      value: 32.257000000000005
+    - type: ndcg_at_1
+      value: 26.27
+    - type: ndcg_at_10
+      value: 33.726
+    - type: ndcg_at_100
+      value: 39.079
+    - type: ndcg_at_1000
+      value: 41.762
+    - type: ndcg_at_3
+      value: 30.064
+    - type: ndcg_at_5
+      value: 31.858999999999998
+    - type: precision_at_1
+      value: 26.27
+    - type: precision_at_10
+      value: 5.448
+    - type: precision_at_100
+      value: 0.898
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 13.417000000000002
+    - type: precision_at_5
+      value: 9.317
+    - type: recall_at_1
+      value: 22.517
+    - type: recall_at_10
+      value: 42.814
+    - type: recall_at_100
+      value: 67.037
+    - type: recall_at_1000
+      value: 86.89099999999999
+    - type: recall_at_3
+      value: 33.041
+    - type: recall_at_5
+      value: 37.389
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.681
+    - type: map_at_10
+      value: 10.655000000000001
+    - type: map_at_100
+      value: 11.274000000000001
+    - type: map_at_1000
+      value: 11.381
+    - type: map_at_3
+      value: 9.793000000000001
+    - type: map_at_5
+      value: 10.202
+    - type: mrr_at_1
+      value: 8.248999999999999
+    - type: mrr_at_10
+      value: 11.453000000000001
+    - type: mrr_at_100
+      value: 12.074
+    - type: mrr_at_1000
+      value: 12.174
+    - type: mrr_at_3
+      value: 10.452
+    - type: mrr_at_5
+      value: 10.989
+    - type: ndcg_at_1
+      value: 8.248999999999999
+    - type: ndcg_at_10
+      value: 12.467
+    - type: ndcg_at_100
+      value: 15.942
+    - type: ndcg_at_1000
+      value: 19.378999999999998
+    - type: ndcg_at_3
+      value: 10.631
+    - type: ndcg_at_5
+      value: 11.411
+    - type: precision_at_1
+      value: 8.248999999999999
+    - type: precision_at_10
+      value: 1.966
+    - type: precision_at_100
+      value: 0.40099999999999997
+    - type: precision_at_1000
+      value: 0.075
+    - type: precision_at_3
+      value: 4.444
+    - type: precision_at_5
+      value: 3.186
+    - type: recall_at_1
+      value: 7.681
+    - type: recall_at_10
+      value: 17.302
+    - type: recall_at_100
+      value: 34.014
+    - type: recall_at_1000
+      value: 61.207
+    - type: recall_at_3
+      value: 12.389
+    - type: recall_at_5
+      value: 14.158999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.868
+    - type: map_at_10
+      value: 6.281000000000001
+    - type: map_at_100
+      value: 6.903
+    - type: map_at_1000
+      value: 7.038
+    - type: map_at_3
+      value: 5.234
+    - type: map_at_5
+      value: 5.685
+    - type: mrr_at_1
+      value: 5.1
+    - type: mrr_at_10
+      value: 8.148
+    - type: mrr_at_100
+      value: 8.846
+    - type: mrr_at_1000
+      value: 8.963000000000001
+    - type: mrr_at_3
+      value: 6.944
+    - type: mrr_at_5
+      value: 7.498
+    - type: ndcg_at_1
+      value: 5.1
+    - type: ndcg_at_10
+      value: 8.405999999999999
+    - type: ndcg_at_100
+      value: 12.014
+    - type: ndcg_at_1000
+      value: 15.956999999999999
+    - type: ndcg_at_3
+      value: 6.22
+    - type: ndcg_at_5
+      value: 6.962
+    - type: precision_at_1
+      value: 5.1
+    - type: precision_at_10
+      value: 1.8159999999999998
+    - type: precision_at_100
+      value: 0.437
+    - type: precision_at_1000
+      value: 0.09
+    - type: precision_at_3
+      value: 3.1510000000000002
+    - type: precision_at_5
+      value: 2.463
+    - type: recall_at_1
+      value: 3.868
+    - type: recall_at_10
+      value: 13.319
+    - type: recall_at_100
+      value: 29.985
+    - type: recall_at_1000
+      value: 59.245999999999995
+    - type: recall_at_3
+      value: 7.0809999999999995
+    - type: recall_at_5
+      value: 8.914
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.091
+    - type: map_at_10
+      value: 18.701999999999998
+    - type: map_at_100
+      value: 19.897000000000002
+    - type: map_at_1000
+      value: 20.044
+    - type: map_at_3
+      value: 17.041999999999998
+    - type: map_at_5
+      value: 17.943
+    - type: mrr_at_1
+      value: 16.939
+    - type: mrr_at_10
+      value: 23.038
+    - type: mrr_at_100
+      value: 24.029
+    - type: mrr_at_1000
+      value: 24.12
+    - type: mrr_at_3
+      value: 21.221999999999998
+    - type: mrr_at_5
+      value: 22.198999999999998
+    - type: ndcg_at_1
+      value: 16.939
+    - type: ndcg_at_10
+      value: 22.566
+    - type: ndcg_at_100
+      value: 28.364
+    - type: ndcg_at_1000
+      value: 31.646
+    - type: ndcg_at_3
+      value: 19.646
+    - type: ndcg_at_5
+      value: 20.915
+    - type: precision_at_1
+      value: 16.939
+    - type: precision_at_10
+      value: 4.340999999999999
+    - type: precision_at_100
+      value: 0.882
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 9.785
+    - type: precision_at_5
+      value: 6.93
+    - type: recall_at_1
+      value: 13.091
+    - type: recall_at_10
+      value: 30.022
+    - type: recall_at_100
+      value: 55.579
+    - type: recall_at_1000
+      value: 78.14
+    - type: recall_at_3
+      value: 21.4
+    - type: recall_at_5
+      value: 25.020999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.315999999999999
+    - type: map_at_10
+      value: 16.191
+    - type: map_at_100
+      value: 17.116
+    - type: map_at_1000
+      value: 17.262
+    - type: map_at_3
+      value: 14.302999999999999
+    - type: map_at_5
+      value: 15.278
+    - type: mrr_at_1
+      value: 14.269000000000002
+    - type: mrr_at_10
+      value: 19.409000000000002
+    - type: mrr_at_100
+      value: 20.298
+    - type: mrr_at_1000
+      value: 20.393
+    - type: mrr_at_3
+      value: 17.504
+    - type: mrr_at_5
+      value: 18.423000000000002
+    - type: ndcg_at_1
+      value: 14.269000000000002
+    - type: ndcg_at_10
+      value: 19.735
+    - type: ndcg_at_100
+      value: 24.582
+    - type: ndcg_at_1000
+      value: 28.337
+    - type: ndcg_at_3
+      value: 16.220000000000002
+    - type: ndcg_at_5
+      value: 17.644000000000002
+    - type: precision_at_1
+      value: 14.269000000000002
+    - type: precision_at_10
+      value: 3.721
+    - type: precision_at_100
+      value: 0.752
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 7.800999999999999
+    - type: precision_at_5
+      value: 5.753
+    - type: recall_at_1
+      value: 11.315999999999999
+    - type: recall_at_10
+      value: 27.693
+    - type: recall_at_100
+      value: 49.265
+    - type: recall_at_1000
+      value: 76.291
+    - type: recall_at_3
+      value: 17.593
+    - type: recall_at_5
+      value: 21.368000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.131583333333332
+    - type: map_at_10
+      value: 15.4605
+    - type: map_at_100
+      value: 16.3075
+    - type: map_at_1000
+      value: 16.4375
+    - type: map_at_3
+      value: 13.995833333333332
+    - type: map_at_5
+      value: 14.783666666666667
+    - type: mrr_at_1
+      value: 13.805833333333334
+    - type: mrr_at_10
+      value: 18.405749999999998
+    - type: mrr_at_100
+      value: 19.17516666666667
+    - type: mrr_at_1000
+      value: 19.265833333333333
+    - type: mrr_at_3
+      value: 16.892416666666666
+    - type: mrr_at_5
+      value: 17.71058333333333
+    - type: ndcg_at_1
+      value: 13.805833333333334
+    - type: ndcg_at_10
+      value: 18.500666666666664
+    - type: ndcg_at_100
+      value: 22.78191666666667
+    - type: ndcg_at_1000
+      value: 26.095583333333334
+    - type: ndcg_at_3
+      value: 15.846916666666663
+    - type: ndcg_at_5
+      value: 17.004250000000003
+    - type: precision_at_1
+      value: 13.805833333333334
+    - type: precision_at_10
+      value: 3.4233333333333325
+    - type: precision_at_100
+      value: 0.6828333333333333
+    - type: precision_at_1000
+      value: 0.11641666666666667
+    - type: precision_at_3
+      value: 7.511749999999999
+    - type: precision_at_5
+      value: 5.440916666666666
+    - type: recall_at_1
+      value: 11.131583333333332
+    - type: recall_at_10
+      value: 24.794166666666666
+    - type: recall_at_100
+      value: 44.356
+    - type: recall_at_1000
+      value: 68.71899999999998
+    - type: recall_at_3
+      value: 17.145583333333335
+    - type: recall_at_5
+      value: 20.229083333333335
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.5520000000000005
+    - type: map_at_10
+      value: 10.355
+    - type: map_at_100
+      value: 10.875
+    - type: map_at_1000
+      value: 10.972999999999999
+    - type: map_at_3
+      value: 9.341000000000001
+    - type: map_at_5
+      value: 9.969
+    - type: mrr_at_1
+      value: 9.049
+    - type: mrr_at_10
+      value: 12.002
+    - type: mrr_at_100
+      value: 12.55
+    - type: mrr_at_1000
+      value: 12.635
+    - type: mrr_at_3
+      value: 11.12
+    - type: mrr_at_5
+      value: 11.626
+    - type: ndcg_at_1
+      value: 9.049
+    - type: ndcg_at_10
+      value: 12.241
+    - type: ndcg_at_100
+      value: 15.231
+    - type: ndcg_at_1000
+      value: 18.265
+    - type: ndcg_at_3
+      value: 10.424999999999999
+    - type: ndcg_at_5
+      value: 11.360000000000001
+    - type: precision_at_1
+      value: 9.049
+    - type: precision_at_10
+      value: 2.147
+    - type: precision_at_100
+      value: 0.411
+    - type: precision_at_1000
+      value: 0.073
+    - type: precision_at_3
+      value: 4.755
+    - type: precision_at_5
+      value: 3.558
+    - type: recall_at_1
+      value: 7.5520000000000005
+    - type: recall_at_10
+      value: 16.448999999999998
+    - type: recall_at_100
+      value: 30.505
+    - type: recall_at_1000
+      value: 54.435
+    - type: recall_at_3
+      value: 11.366
+    - type: recall_at_5
+      value: 13.758999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.954000000000001
+    - type: map_at_10
+      value: 8.229000000000001
+    - type: map_at_100
+      value: 8.694
+    - type: map_at_1000
+      value: 8.788
+    - type: map_at_3
+      value: 7.5
+    - type: map_at_5
+      value: 7.856000000000001
+    - type: mrr_at_1
+      value: 7.983
+    - type: mrr_at_10
+      value: 10.833
+    - type: mrr_at_100
+      value: 11.324
+    - type: mrr_at_1000
+      value: 11.404
+    - type: mrr_at_3
+      value: 9.911
+    - type: mrr_at_5
+      value: 10.401
+    - type: ndcg_at_1
+      value: 7.983
+    - type: ndcg_at_10
+      value: 10.126
+    - type: ndcg_at_100
+      value: 12.702
+    - type: ndcg_at_1000
+      value: 15.581999999999999
+    - type: ndcg_at_3
+      value: 8.779
+    - type: ndcg_at_5
+      value: 9.279
+    - type: precision_at_1
+      value: 7.983
+    - type: precision_at_10
+      value: 1.955
+    - type: precision_at_100
+      value: 0.392
+    - type: precision_at_1000
+      value: 0.076
+    - type: precision_at_3
+      value: 4.382
+    - type: precision_at_5
+      value: 3.09
+    - type: recall_at_1
+      value: 5.954000000000001
+    - type: recall_at_10
+      value: 13.472000000000001
+    - type: recall_at_100
+      value: 25.407999999999998
+    - type: recall_at_1000
+      value: 47.028
+    - type: recall_at_3
+      value: 9.367
+    - type: recall_at_5
+      value: 10.867
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.894
+    - type: map_at_10
+      value: 12.758
+    - type: map_at_100
+      value: 13.639999999999999
+    - type: map_at_1000
+      value: 13.76
+    - type: map_at_3
+      value: 11.447000000000001
+    - type: map_at_5
+      value: 12.205
+    - type: mrr_at_1
+      value: 10.914
+    - type: mrr_at_10
+      value: 15.739
+    - type: mrr_at_100
+      value: 16.589000000000002
+    - type: mrr_at_1000
+      value: 16.679
+    - type: mrr_at_3
+      value: 14.179
+    - type: mrr_at_5
+      value: 15.162999999999998
+    - type: ndcg_at_1
+      value: 10.914
+    - type: ndcg_at_10
+      value: 15.629000000000001
+    - type: ndcg_at_100
+      value: 20.261000000000003
+    - type: ndcg_at_1000
+      value: 23.781
+    - type: ndcg_at_3
+      value: 13.102
+    - type: ndcg_at_5
+      value: 14.338000000000001
+    - type: precision_at_1
+      value: 10.914
+    - type: precision_at_10
+      value: 2.91
+    - type: precision_at_100
+      value: 0.601
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_3
+      value: 6.311999999999999
+    - type: precision_at_5
+      value: 4.683
+    - type: recall_at_1
+      value: 8.894
+    - type: recall_at_10
+      value: 21.45
+    - type: recall_at_100
+      value: 42.617
+    - type: recall_at_1000
+      value: 69.233
+    - type: recall_at_3
+      value: 14.52
+    - type: recall_at_5
+      value: 17.681
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.158
+    - type: map_at_10
+      value: 16.332
+    - type: map_at_100
+      value: 17.458000000000002
+    - type: map_at_1000
+      value: 17.687
+    - type: map_at_3
+      value: 14.529
+    - type: map_at_5
+      value: 15.515
+    - type: mrr_at_1
+      value: 15.809999999999999
+    - type: mrr_at_10
+      value: 19.917
+    - type: mrr_at_100
+      value: 20.875
+    - type: mrr_at_1000
+      value: 20.985
+    - type: mrr_at_3
+      value: 18.116
+    - type: mrr_at_5
+      value: 19.025
+    - type: ndcg_at_1
+      value: 15.809999999999999
+    - type: ndcg_at_10
+      value: 19.869999999999997
+    - type: ndcg_at_100
+      value: 24.907
+    - type: ndcg_at_1000
+      value: 29.076999999999998
+    - type: ndcg_at_3
+      value: 16.899
+    - type: ndcg_at_5
+      value: 18.23
+    - type: precision_at_1
+      value: 15.809999999999999
+    - type: precision_at_10
+      value: 3.972
+    - type: precision_at_100
+      value: 0.9860000000000001
+    - type: precision_at_1000
+      value: 0.203
+    - type: precision_at_3
+      value: 8.169
+    - type: precision_at_5
+      value: 6.087
+    - type: recall_at_1
+      value: 12.158
+    - type: recall_at_10
+      value: 26.338
+    - type: recall_at_100
+      value: 49.845
+    - type: recall_at_1000
+      value: 78.82000000000001
+    - type: recall_at_3
+      value: 16.997
+    - type: recall_at_5
+      value: 20.848
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.01
+    - type: map_at_10
+      value: 10.889
+    - type: map_at_100
+      value: 11.562
+    - type: map_at_1000
+      value: 11.65
+    - type: map_at_3
+      value: 9.718
+    - type: map_at_5
+      value: 10.358
+    - type: mrr_at_1
+      value: 8.688
+    - type: mrr_at_10
+      value: 11.862
+    - type: mrr_at_100
+      value: 12.558
+    - type: mrr_at_1000
+      value: 12.642000000000001
+    - type: mrr_at_3
+      value: 10.598
+    - type: mrr_at_5
+      value: 11.328000000000001
+    - type: ndcg_at_1
+      value: 8.688
+    - type: ndcg_at_10
+      value: 12.959999999999999
+    - type: ndcg_at_100
+      value: 16.744
+    - type: ndcg_at_1000
+      value: 19.564999999999998
+    - type: ndcg_at_3
+      value: 10.476
+    - type: ndcg_at_5
+      value: 11.639
+    - type: precision_at_1
+      value: 8.688
+    - type: precision_at_10
+      value: 2.089
+    - type: precision_at_100
+      value: 0.43299999999999994
+    - type: precision_at_1000
+      value: 0.07200000000000001
+    - type: precision_at_3
+      value: 4.375
+    - type: precision_at_5
+      value: 3.253
+    - type: recall_at_1
+      value: 8.01
+    - type: recall_at_10
+      value: 18.589
+    - type: recall_at_100
+      value: 36.857
+    - type: recall_at_1000
+      value: 59.047000000000004
+    - type: recall_at_3
+      value: 11.774
+    - type: recall_at_5
+      value: 14.516000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.4719999999999995
+    - type: map_at_10
+      value: 12.322
+    - type: map_at_100
+      value: 14.122000000000002
+    - type: map_at_1000
+      value: 14.35
+    - type: map_at_3
+      value: 9.667
+    - type: map_at_5
+      value: 10.931000000000001
+    - type: mrr_at_1
+      value: 15.179
+    - type: mrr_at_10
+      value: 24.864
+    - type: mrr_at_100
+      value: 26.144000000000002
+    - type: mrr_at_1000
+      value: 26.198
+    - type: mrr_at_3
+      value: 20.999000000000002
+    - type: mrr_at_5
+      value: 23.097
+    - type: ndcg_at_1
+      value: 15.179
+    - type: ndcg_at_10
+      value: 18.951999999999998
+    - type: ndcg_at_100
+      value: 26.924
+    - type: ndcg_at_1000
+      value: 30.991999999999997
+    - type: ndcg_at_3
+      value: 13.778000000000002
+    - type: ndcg_at_5
+      value: 15.549
+    - type: precision_at_1
+      value: 15.179
+    - type: precision_at_10
+      value: 6.625
+    - type: precision_at_100
+      value: 1.516
+    - type: precision_at_1000
+      value: 0.22599999999999998
+    - type: precision_at_3
+      value: 10.51
+    - type: precision_at_5
+      value: 8.847
+    - type: recall_at_1
+      value: 6.4719999999999995
+    - type: recall_at_10
+      value: 25.191999999999997
+    - type: recall_at_100
+      value: 53.315
+    - type: recall_at_1000
+      value: 76.163
+    - type: recall_at_3
+      value: 12.834999999999999
+    - type: recall_at_5
+      value: 17.388
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.947
+    - type: map_at_10
+      value: 4.858
+    - type: map_at_100
+      value: 7.185999999999999
+    - type: map_at_1000
+      value: 7.931000000000001
+    - type: map_at_3
+      value: 3.2939999999999996
+    - type: map_at_5
+      value: 3.914
+    - type: mrr_at_1
+      value: 23.25
+    - type: mrr_at_10
+      value: 33.035
+    - type: mrr_at_100
+      value: 33.721000000000004
+    - type: mrr_at_1000
+      value: 33.789
+    - type: mrr_at_3
+      value: 29.75
+    - type: mrr_at_5
+      value: 31.738
+    - type: ndcg_at_1
+      value: 15.625
+    - type: ndcg_at_10
+      value: 13.211999999999998
+    - type: ndcg_at_100
+      value: 16.422
+    - type: ndcg_at_1000
+      value: 23.058999999999997
+    - type: ndcg_at_3
+      value: 14.573
+    - type: ndcg_at_5
+      value: 13.733999999999998
+    - type: precision_at_1
+      value: 23.25
+    - type: precision_at_10
+      value: 12.45
+    - type: precision_at_100
+      value: 4.192
+    - type: precision_at_1000
+      value: 1.083
+    - type: precision_at_3
+      value: 18.667
+    - type: precision_at_5
+      value: 15.950000000000001
+    - type: recall_at_1
+      value: 1.947
+    - type: recall_at_10
+      value: 9.317
+    - type: recall_at_100
+      value: 23.066
+    - type: recall_at_1000
+      value: 45.704
+    - type: recall_at_3
+      value: 4.12
+    - type: recall_at_5
+      value: 5.591
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 42.855
+    - type: f1
+      value: 39.029787102377576
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.461
+    - type: map_at_10
+      value: 13.655999999999999
+    - type: map_at_100
+      value: 14.499
+    - type: map_at_1000
+      value: 14.585999999999999
+    - type: map_at_3
+      value: 11.848
+    - type: map_at_5
+      value: 12.842999999999998
+    - type: mrr_at_1
+      value: 9.136
+    - type: mrr_at_10
+      value: 14.587
+    - type: mrr_at_100
+      value: 15.436
+    - type: mrr_at_1000
+      value: 15.518
+    - type: mrr_at_3
+      value: 12.690999999999999
+    - type: mrr_at_5
+      value: 13.747000000000002
+    - type: ndcg_at_1
+      value: 9.136
+    - type: ndcg_at_10
+      value: 16.958000000000002
+    - type: ndcg_at_100
+      value: 21.43
+    - type: ndcg_at_1000
+      value: 24.031
+    - type: ndcg_at_3
+      value: 13.191
+    - type: ndcg_at_5
+      value: 14.987
+    - type: precision_at_1
+      value: 9.136
+    - type: precision_at_10
+      value: 2.897
+    - type: precision_at_100
+      value: 0.532
+    - type: precision_at_1000
+      value: 0.077
+    - type: precision_at_3
+      value: 5.8709999999999996
+    - type: precision_at_5
+      value: 4.47
+    - type: recall_at_1
+      value: 8.461
+    - type: recall_at_10
+      value: 26.509
+    - type: recall_at_100
+      value: 47.776
+    - type: recall_at_1000
+      value: 68.26299999999999
+    - type: recall_at_3
+      value: 16.203
+    - type: recall_at_5
+      value: 20.505000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.396
+    - type: map_at_10
+      value: 12.393
+    - type: map_at_100
+      value: 13.857
+    - type: map_at_1000
+      value: 14.086000000000002
+    - type: map_at_3
+      value: 10.545
+    - type: map_at_5
+      value: 11.505
+    - type: mrr_at_1
+      value: 15.432000000000002
+    - type: mrr_at_10
+      value: 21.615000000000002
+    - type: mrr_at_100
+      value: 22.833000000000002
+    - type: mrr_at_1000
+      value: 22.931
+    - type: mrr_at_3
+      value: 19.522000000000002
+    - type: mrr_at_5
+      value: 20.663999999999998
+    - type: ndcg_at_1
+      value: 15.432000000000002
+    - type: ndcg_at_10
+      value: 16.986
+    - type: ndcg_at_100
+      value: 23.880000000000003
+    - type: ndcg_at_1000
+      value: 28.762999999999998
+    - type: ndcg_at_3
+      value: 14.482999999999999
+    - type: ndcg_at_5
+      value: 15.334999999999999
+    - type: precision_at_1
+      value: 15.432000000000002
+    - type: precision_at_10
+      value: 4.984999999999999
+    - type: precision_at_100
+      value: 1.167
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 9.825000000000001
+    - type: precision_at_5
+      value: 7.469
+    - type: recall_at_1
+      value: 7.396
+    - type: recall_at_10
+      value: 21.389
+    - type: recall_at_100
+      value: 48.107
+    - type: recall_at_1000
+      value: 78.366
+    - type: recall_at_3
+      value: 13.181000000000001
+    - type: recall_at_5
+      value: 16.611
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.884
+    - type: map_at_10
+      value: 17.09
+    - type: map_at_100
+      value: 17.96
+    - type: map_at_1000
+      value: 18.081
+    - type: map_at_3
+      value: 15.296000000000001
+    - type: map_at_5
+      value: 16.289
+    - type: mrr_at_1
+      value: 23.768
+    - type: mrr_at_10
+      value: 29.991
+    - type: mrr_at_100
+      value: 30.862000000000002
+    - type: mrr_at_1000
+      value: 30.935000000000002
+    - type: mrr_at_3
+      value: 27.986
+    - type: mrr_at_5
+      value: 29.078
+    - type: ndcg_at_1
+      value: 23.768
+    - type: ndcg_at_10
+      value: 22.634999999999998
+    - type: ndcg_at_100
+      value: 27.059
+    - type: ndcg_at_1000
+      value: 30.145
+    - type: ndcg_at_3
+      value: 19.058
+    - type: ndcg_at_5
+      value: 20.762
+    - type: precision_at_1
+      value: 23.768
+    - type: precision_at_10
+      value: 5.2490000000000006
+    - type: precision_at_100
+      value: 0.8829999999999999
+    - type: precision_at_1000
+      value: 0.13
+    - type: precision_at_3
+      value: 12.091000000000001
+    - type: precision_at_5
+      value: 8.605
+    - type: recall_at_1
+      value: 11.884
+    - type: recall_at_10
+      value: 26.246000000000002
+    - type: recall_at_100
+      value: 44.153
+    - type: recall_at_1000
+      value: 64.889
+    - type: recall_at_3
+      value: 18.136
+    - type: recall_at_5
+      value: 21.512
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 71.9232
+    - type: ap
+      value: 66.56619827391917
+    - type: f1
+      value: 71.60536244284128
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.037
+    - type: map_at_10
+      value: 5.414
+    - type: map_at_100
+      value: 6.072
+    - type: map_at_1000
+      value: 6.172
+    - type: map_at_3
+      value: 4.437
+    - type: map_at_5
+      value: 4.939
+    - type: mrr_at_1
+      value: 3.123
+    - type: mrr_at_10
+      value: 5.572
+    - type: mrr_at_100
+      value: 6.235
+    - type: mrr_at_1000
+      value: 6.334
+    - type: mrr_at_3
+      value: 4.563
+    - type: mrr_at_5
+      value: 5.09
+    - type: ndcg_at_1
+      value: 3.123
+    - type: ndcg_at_10
+      value: 7.027
+    - type: ndcg_at_100
+      value: 10.776
+    - type: ndcg_at_1000
+      value: 13.904
+    - type: ndcg_at_3
+      value: 4.95
+    - type: ndcg_at_5
+      value: 5.865
+    - type: precision_at_1
+      value: 3.123
+    - type: precision_at_10
+      value: 1.252
+    - type: precision_at_100
+      value: 0.32299999999999995
+    - type: precision_at_1000
+      value: 0.059000000000000004
+    - type: precision_at_3
+      value: 2.168
+    - type: precision_at_5
+      value: 1.7680000000000002
+    - type: recall_at_1
+      value: 3.037
+    - type: recall_at_10
+      value: 12.11
+    - type: recall_at_100
+      value: 30.714999999999996
+    - type: recall_at_1000
+      value: 56.006
+    - type: recall_at_3
+      value: 6.3229999999999995
+    - type: recall_at_5
+      value: 8.518
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 91.24259005927954
+    - type: f1
+      value: 90.7594022786747
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 74.08344733242134
+    - type: f1
+      value: 52.377556461789055
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 69.99327505043712
+    - type: f1
+      value: 66.15141376479805
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 75.1546738399462
+    - type: f1
+      value: 74.83013584700711
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.146364191412356
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 26.96347584990607
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 29.520993847103533
+    - type: mrr
+      value: 30.402007095845374
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.72
+    - type: map_at_10
+      value: 4.041
+    - type: map_at_100
+      value: 5.356000000000001
+    - type: map_at_1000
+      value: 6.413
+    - type: map_at_3
+      value: 2.9770000000000003
+    - type: map_at_5
+      value: 3.3689999999999998
+    - type: mrr_at_1
+      value: 21.981
+    - type: mrr_at_10
+      value: 30.286
+    - type: mrr_at_100
+      value: 31.272
+    - type: mrr_at_1000
+      value: 31.347
+    - type: mrr_at_3
+      value: 27.193
+    - type: mrr_at_5
+      value: 28.694999999999997
+    - type: ndcg_at_1
+      value: 19.814
+    - type: ndcg_at_10
+      value: 15.732
+    - type: ndcg_at_100
+      value: 16.033
+    - type: ndcg_at_1000
+      value: 25.865
+    - type: ndcg_at_3
+      value: 17.944
+    - type: ndcg_at_5
+      value: 16.634
+    - type: precision_at_1
+      value: 21.981
+    - type: precision_at_10
+      value: 12.786
+    - type: precision_at_100
+      value: 4.83
+    - type: precision_at_1000
+      value: 1.765
+    - type: precision_at_3
+      value: 17.75
+    - type: precision_at_5
+      value: 15.232000000000001
+    - type: recall_at_1
+      value: 1.72
+    - type: recall_at_10
+      value: 7.436
+    - type: recall_at_100
+      value: 20.275000000000002
+    - type: recall_at_1000
+      value: 54.19500000000001
+    - type: recall_at_3
+      value: 3.787
+    - type: recall_at_5
+      value: 4.829
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.964
+    - type: map_at_10
+      value: 14.025000000000002
+    - type: map_at_100
+      value: 15.222
+    - type: map_at_1000
+      value: 15.32
+    - type: map_at_3
+      value: 11.886
+    - type: map_at_5
+      value: 13.056999999999999
+    - type: mrr_at_1
+      value: 9.183
+    - type: mrr_at_10
+      value: 15.651000000000002
+    - type: mrr_at_100
+      value: 16.753999999999998
+    - type: mrr_at_1000
+      value: 16.833000000000002
+    - type: mrr_at_3
+      value: 13.437
+    - type: mrr_at_5
+      value: 14.69
+    - type: ndcg_at_1
+      value: 9.183
+    - type: ndcg_at_10
+      value: 17.96
+    - type: ndcg_at_100
+      value: 23.823
+    - type: ndcg_at_1000
+      value: 26.461000000000002
+    - type: ndcg_at_3
+      value: 13.536999999999999
+    - type: ndcg_at_5
+      value: 15.642
+    - type: precision_at_1
+      value: 9.183
+    - type: precision_at_10
+      value: 3.366
+    - type: precision_at_100
+      value: 0.67
+    - type: precision_at_1000
+      value: 0.092
+    - type: precision_at_3
+      value: 6.547
+    - type: precision_at_5
+      value: 5.098
+    - type: recall_at_1
+      value: 7.964
+    - type: recall_at_10
+      value: 28.599000000000004
+    - type: recall_at_100
+      value: 55.381
+    - type: recall_at_1000
+      value: 75.63
+    - type: recall_at_3
+      value: 16.77
+    - type: recall_at_5
+      value: 21.671000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 59.846999999999994
+    - type: map_at_10
+      value: 73.18599999999999
+    - type: map_at_100
+      value: 74.055
+    - type: map_at_1000
+      value: 74.09
+    - type: map_at_3
+      value: 69.95700000000001
+    - type: map_at_5
+      value: 71.925
+    - type: mrr_at_1
+      value: 69.0
+    - type: mrr_at_10
+      value: 77.23299999999999
+    - type: mrr_at_100
+      value: 77.52
+    - type: mrr_at_1000
+      value: 77.526
+    - type: mrr_at_3
+      value: 75.59
+    - type: mrr_at_5
+      value: 76.63799999999999
+    - type: ndcg_at_1
+      value: 69.02000000000001
+    - type: ndcg_at_10
+      value: 78.226
+    - type: ndcg_at_100
+      value: 80.60199999999999
+    - type: ndcg_at_1000
+      value: 80.971
+    - type: ndcg_at_3
+      value: 74.124
+    - type: ndcg_at_5
+      value: 76.265
+    - type: precision_at_1
+      value: 69.02000000000001
+    - type: precision_at_10
+      value: 12.102
+    - type: precision_at_100
+      value: 1.468
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 32.5
+    - type: precision_at_5
+      value: 21.7
+    - type: recall_at_1
+      value: 59.846999999999994
+    - type: recall_at_10
+      value: 88.485
+    - type: recall_at_100
+      value: 97.425
+    - type: recall_at_1000
+      value: 99.523
+    - type: recall_at_3
+      value: 77.051
+    - type: recall_at_5
+      value: 82.762
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 38.67296729610079
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 53.42017351823769
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.893
+    - type: map_at_10
+      value: 2.804
+    - type: map_at_100
+      value: 3.6740000000000004
+    - type: map_at_1000
+      value: 3.94
+    - type: map_at_3
+      value: 1.926
+    - type: map_at_5
+      value: 2.363
+    - type: mrr_at_1
+      value: 4.3
+    - type: mrr_at_10
+      value: 9.520000000000001
+    - type: mrr_at_100
+      value: 10.692
+    - type: mrr_at_1000
+      value: 10.841000000000001
+    - type: mrr_at_3
+      value: 7.6
+    - type: mrr_at_5
+      value: 8.63
+    - type: ndcg_at_1
+      value: 4.3
+    - type: ndcg_at_10
+      value: 5.531
+    - type: ndcg_at_100
+      value: 10.512
+    - type: ndcg_at_1000
+      value: 16.683
+    - type: ndcg_at_3
+      value: 4.632
+    - type: ndcg_at_5
+      value: 4.3229999999999995
+    - type: precision_at_1
+      value: 4.3
+    - type: precision_at_10
+      value: 3.16
+    - type: precision_at_100
+      value: 1.065
+    - type: precision_at_1000
+      value: 0.256
+    - type: precision_at_3
+      value: 4.667000000000001
+    - type: precision_at_5
+      value: 4.1000000000000005
+    - type: recall_at_1
+      value: 0.893
+    - type: recall_at_10
+      value: 6.428000000000001
+    - type: recall_at_100
+      value: 21.662
+    - type: recall_at_1000
+      value: 52.162
+    - type: recall_at_3
+      value: 2.868
+    - type: recall_at_5
+      value: 4.188
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_spearman
+      value: 69.34396953516386
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_spearman
+      value: 60.094374065360746
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_spearman
+      value: 72.51503781013379
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_spearman
+      value: 66.6954698644186
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_spearman
+      value: 77.69462578028768
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_spearman
+      value: 75.9397626457859
+  - 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: 81.67242768943406
+  - 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: 63.7027324700292
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_spearman
+      value: 73.36074244064153
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 67.75984402370518
+    - type: mrr
+      value: 86.9951798383171
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.583
+    - type: map_at_10
+      value: 33.125
+    - type: map_at_100
+      value: 34.14
+    - type: map_at_1000
+      value: 34.22
+    - type: map_at_3
+      value: 29.616
+    - type: map_at_5
+      value: 31.896
+    - type: mrr_at_1
+      value: 26.333000000000002
+    - type: mrr_at_10
+      value: 34.437
+    - type: mrr_at_100
+      value: 35.363
+    - type: mrr_at_1000
+      value: 35.433
+    - type: mrr_at_3
+      value: 31.333
+    - type: mrr_at_5
+      value: 33.267
+    - type: ndcg_at_1
+      value: 26.333000000000002
+    - type: ndcg_at_10
+      value: 38.311
+    - type: ndcg_at_100
+      value: 43.923
+    - type: ndcg_at_1000
+      value: 45.923
+    - type: ndcg_at_3
+      value: 31.596000000000004
+    - type: ndcg_at_5
+      value: 35.448
+    - type: precision_at_1
+      value: 26.333000000000002
+    - type: precision_at_10
+      value: 5.933
+    - type: precision_at_100
+      value: 0.91
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 13.0
+    - type: precision_at_5
+      value: 9.933
+    - type: recall_at_1
+      value: 24.583
+    - type: recall_at_10
+      value: 53.417
+    - type: recall_at_100
+      value: 80.989
+    - type: recall_at_1000
+      value: 96.322
+    - type: recall_at_3
+      value: 35.611
+    - type: recall_at_5
+      value: 44.833
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.48514851485149
+    - type: cos_sim_ap
+      value: 77.36426466374054
+    - type: cos_sim_f1
+      value: 72.0702116675271
+    - type: cos_sim_precision
+      value: 74.49306296691569
+    - type: cos_sim_recall
+      value: 69.8
+    - type: dot_accuracy
+      value: 99.15049504950495
+    - type: dot_ap
+      value: 46.792474140260715
+    - type: dot_f1
+      value: 48.76476906552094
+    - type: dot_precision
+      value: 52.66821345707656
+    - type: dot_recall
+      value: 45.4
+    - type: euclidean_accuracy
+      value: 99.46534653465346
+    - type: euclidean_ap
+      value: 74.1978837990589
+    - type: euclidean_f1
+      value: 69.47256259989345
+    - type: euclidean_precision
+      value: 74.34435575826683
+    - type: euclidean_recall
+      value: 65.2
+    - type: manhattan_accuracy
+      value: 99.47128712871287
+    - type: manhattan_ap
+      value: 75.31910551743364
+    - type: manhattan_f1
+      value: 70.1582105837425
+    - type: manhattan_precision
+      value: 77.19087635054022
+    - type: manhattan_recall
+      value: 64.3
+    - type: max_accuracy
+      value: 99.48514851485149
+    - type: max_ap
+      value: 77.36426466374054
+    - type: max_f1
+      value: 72.0702116675271
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 59.353792480720436
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 31.474896484744836
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 40.82378653430986
+    - type: mrr
+      value: 41.13905600118835
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.08154836998798
+    - type: cos_sim_spearman
+      value: 31.232033308845907
+    - type: dot_pearson
+      value: 23.767593496465828
+    - type: dot_spearman
+      value: 25.6201612766572
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.186
+    - type: map_at_10
+      value: 1.1809999999999998
+    - type: map_at_100
+      value: 5.21
+    - type: map_at_1000
+      value: 12.447999999999999
+    - type: map_at_3
+      value: 0.44200000000000006
+    - type: map_at_5
+      value: 0.673
+    - type: mrr_at_1
+      value: 72.0
+    - type: mrr_at_10
+      value: 80.01899999999999
+    - type: mrr_at_100
+      value: 80.42099999999999
+    - type: mrr_at_1000
+      value: 80.42099999999999
+    - type: mrr_at_3
+      value: 78.0
+    - type: mrr_at_5
+      value: 79.4
+    - type: ndcg_at_1
+      value: 66.0
+    - type: ndcg_at_10
+      value: 56.041
+    - type: ndcg_at_100
+      value: 37.987
+    - type: ndcg_at_1000
+      value: 34.198
+    - type: ndcg_at_3
+      value: 60.23500000000001
+    - type: ndcg_at_5
+      value: 58.025999999999996
+    - type: precision_at_1
+      value: 72.0
+    - type: precision_at_10
+      value: 60.4
+    - type: precision_at_100
+      value: 38.940000000000005
+    - type: precision_at_1000
+      value: 16.106
+    - type: precision_at_3
+      value: 63.333
+    - type: precision_at_5
+      value: 61.6
+    - type: recall_at_1
+      value: 0.186
+    - type: recall_at_10
+      value: 1.458
+    - type: recall_at_100
+      value: 8.455
+    - type: recall_at_1000
+      value: 33.141999999999996
+    - type: recall_at_3
+      value: 0.461
+    - type: recall_at_5
+      value: 0.756
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.2849999999999997
+    - type: map_at_10
+      value: 6.909
+    - type: map_at_100
+      value: 11.231
+    - type: map_at_1000
+      value: 12.472
+    - type: map_at_3
+      value: 3.53
+    - type: map_at_5
+      value: 4.675
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 40.73
+    - type: mrr_at_100
+      value: 41.637
+    - type: mrr_at_1000
+      value: 41.647
+    - type: mrr_at_3
+      value: 34.354
+    - type: mrr_at_5
+      value: 38.741
+    - type: ndcg_at_1
+      value: 24.490000000000002
+    - type: ndcg_at_10
+      value: 19.17
+    - type: ndcg_at_100
+      value: 29.946
+    - type: ndcg_at_1000
+      value: 40.842
+    - type: ndcg_at_3
+      value: 19.088
+    - type: ndcg_at_5
+      value: 19.445999999999998
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 17.959
+    - type: precision_at_100
+      value: 6.468999999999999
+    - type: precision_at_1000
+      value: 1.351
+    - type: precision_at_3
+      value: 19.048000000000002
+    - type: precision_at_5
+      value: 19.592000000000002
+    - type: recall_at_1
+      value: 2.2849999999999997
+    - type: recall_at_10
+      value: 12.973
+    - type: recall_at_100
+      value: 40.239999999999995
+    - type: recall_at_1000
+      value: 73.247
+    - type: recall_at_3
+      value: 4.407
+    - type: recall_at_5
+      value: 6.908
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 68.405
+    - type: ap
+      value: 13.9913678628558
+    - type: f1
+      value: 53.209691917560285
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 56.080928126768534
+    - type: f1
+      value: 56.36329965117965
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 31.540976715818065
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.90516778923526
+    - type: cos_sim_ap
+      value: 61.5394989621502
+    - type: cos_sim_f1
+      value: 58.02297689685646
+    - type: cos_sim_precision
+      value: 55.62817719680465
+    - type: cos_sim_recall
+      value: 60.633245382585756
+    - type: dot_accuracy
+      value: 78.95928950348691
+    - type: dot_ap
+      value: 48.61088896690895
+    - type: dot_f1
+      value: 51.0104674059488
+    - type: dot_precision
+      value: 42.00375490698071
+    - type: dot_recall
+      value: 64.93403693931398
+    - type: euclidean_accuracy
+      value: 82.476008821601
+    - type: euclidean_ap
+      value: 59.59406971314053
+    - type: euclidean_f1
+      value: 56.424962447084525
+    - type: euclidean_precision
+      value: 58.47721483158789
+    - type: euclidean_recall
+      value: 54.51187335092348
+    - type: manhattan_accuracy
+      value: 82.66078559933241
+    - type: manhattan_ap
+      value: 60.414321716856925
+    - type: manhattan_f1
+      value: 56.88221089348002
+    - type: manhattan_precision
+      value: 57.86026200873362
+    - type: manhattan_recall
+      value: 55.93667546174142
+    - type: max_accuracy
+      value: 82.90516778923526
+    - type: max_ap
+      value: 61.5394989621502
+    - type: max_f1
+      value: 58.02297689685646
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 85.71622618077386
+    - type: cos_sim_ap
+      value: 77.72774861009667
+    - type: cos_sim_f1
+      value: 71.40275165062152
+    - type: cos_sim_precision
+      value: 68.53359767754726
+    - type: cos_sim_recall
+      value: 74.52263627964275
+    - type: dot_accuracy
+      value: 83.97174680793262
+    - type: dot_ap
+      value: 72.89480417427734
+    - type: dot_f1
+      value: 68.57803792366198
+    - type: dot_precision
+      value: 62.94151708164447
+    - type: dot_recall
+      value: 75.32337542346782
+    - type: euclidean_accuracy
+      value: 84.88570652384834
+    - type: euclidean_ap
+      value: 75.78371710915128
+    - type: euclidean_f1
+      value: 69.44268877569989
+    - type: euclidean_precision
+      value: 67.1435761018046
+    - type: euclidean_recall
+      value: 71.90483523252233
+    - type: manhattan_accuracy
+      value: 85.6114409904141
+    - type: manhattan_ap
+      value: 77.38579436755944
+    - type: manhattan_f1
+      value: 70.8608538430316
+    - type: manhattan_precision
+      value: 68.03656203500319
+    - type: manhattan_recall
+      value: 73.92978133661842
+    - type: max_accuracy
+      value: 85.71622618077386
+    - type: max_ap
+      value: 77.72774861009667
+    - type: max_f1
+      value: 71.40275165062152
 ---
 
 # LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders