Update README.md

README.md

@@ -23,6 +23,2501 @@ tags:
 - fever
 - hotpot_qa
 - mteb
+model-index:
+- name: LLM2Vec-Mistral-7B-unsupervised
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 76.94029850746269
+    - type: ap
+      value: 41.01055096636703
+    - type: f1
+      value: 71.2582580801963
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 85.288275
+    - type: ap
+      value: 80.9174293931393
+    - type: f1
+      value: 85.26284279319103
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 47.089999999999996
+    - type: f1
+      value: 46.42571856588491
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.676
+    - type: map_at_10
+      value: 41.705999999999996
+    - type: map_at_100
+      value: 42.649
+    - type: map_at_1000
+      value: 42.655
+    - type: map_at_3
+      value: 36.214
+    - type: map_at_5
+      value: 39.475
+    - type: mrr_at_1
+      value: 26.173999999999996
+    - type: mrr_at_10
+      value: 41.873
+    - type: mrr_at_100
+      value: 42.817
+    - type: mrr_at_1000
+      value: 42.823
+    - type: mrr_at_3
+      value: 36.427
+    - type: mrr_at_5
+      value: 39.646
+    - type: ndcg_at_1
+      value: 25.676
+    - type: ndcg_at_10
+      value: 51.001
+    - type: ndcg_at_100
+      value: 55.001
+    - type: ndcg_at_1000
+      value: 55.167
+    - type: ndcg_at_3
+      value: 39.713
+    - type: ndcg_at_5
+      value: 45.596
+    - type: precision_at_1
+      value: 25.676
+    - type: precision_at_10
+      value: 8.087
+    - type: precision_at_100
+      value: 0.983
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 16.619
+    - type: precision_at_5
+      value: 12.831000000000001
+    - type: recall_at_1
+      value: 25.676
+    - type: recall_at_10
+      value: 80.868
+    - type: recall_at_100
+      value: 98.29299999999999
+    - type: recall_at_1000
+      value: 99.57300000000001
+    - type: recall_at_3
+      value: 49.858000000000004
+    - type: recall_at_5
+      value: 64.154
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 47.557333278165295
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 39.921940994207674
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 58.602773795071585
+    - type: mrr
+      value: 72.93749725190169
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_spearman
+      value: 83.29045204631967
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 86.1590909090909
+    - type: f1
+      value: 86.08993054539444
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 36.13784714320738
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 30.26284987791574
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.611
+    - type: map_at_10
+      value: 37.838
+    - type: map_at_100
+      value: 39.446999999999996
+    - type: map_at_1000
+      value: 39.583
+    - type: map_at_3
+      value: 34.563
+    - type: map_at_5
+      value: 36.332
+    - type: mrr_at_1
+      value: 35.765
+    - type: mrr_at_10
+      value: 44.614
+    - type: mrr_at_100
+      value: 45.501000000000005
+    - type: mrr_at_1000
+      value: 45.558
+    - type: mrr_at_3
+      value: 42.513
+    - type: mrr_at_5
+      value: 43.515
+    - type: ndcg_at_1
+      value: 35.765
+    - type: ndcg_at_10
+      value: 44.104
+    - type: ndcg_at_100
+      value: 50.05500000000001
+    - type: ndcg_at_1000
+      value: 52.190000000000005
+    - type: ndcg_at_3
+      value: 39.834
+    - type: ndcg_at_5
+      value: 41.491
+    - type: precision_at_1
+      value: 35.765
+    - type: precision_at_10
+      value: 8.870000000000001
+    - type: precision_at_100
+      value: 1.505
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 19.886
+    - type: precision_at_5
+      value: 14.277999999999999
+    - type: recall_at_1
+      value: 27.611
+    - type: recall_at_10
+      value: 55.065
+    - type: recall_at_100
+      value: 80.60199999999999
+    - type: recall_at_1000
+      value: 94.517
+    - type: recall_at_3
+      value: 41.281
+    - type: recall_at_5
+      value: 46.791
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.599999999999998
+    - type: map_at_10
+      value: 38.218999999999994
+    - type: map_at_100
+      value: 39.336
+    - type: map_at_1000
+      value: 39.464
+    - type: map_at_3
+      value: 35.599
+    - type: map_at_5
+      value: 36.927
+    - type: mrr_at_1
+      value: 37.197
+    - type: mrr_at_10
+      value: 44.759
+    - type: mrr_at_100
+      value: 45.372
+    - type: mrr_at_1000
+      value: 45.422000000000004
+    - type: mrr_at_3
+      value: 42.941
+    - type: mrr_at_5
+      value: 43.906
+    - type: ndcg_at_1
+      value: 37.197
+    - type: ndcg_at_10
+      value: 43.689
+    - type: ndcg_at_100
+      value: 47.588
+    - type: ndcg_at_1000
+      value: 49.868
+    - type: ndcg_at_3
+      value: 40.434
+    - type: ndcg_at_5
+      value: 41.617
+    - type: precision_at_1
+      value: 37.197
+    - type: precision_at_10
+      value: 8.529
+    - type: precision_at_100
+      value: 1.325
+    - type: precision_at_1000
+      value: 0.181
+    - type: precision_at_3
+      value: 20.212
+    - type: precision_at_5
+      value: 13.987
+    - type: recall_at_1
+      value: 28.599999999999998
+    - type: recall_at_10
+      value: 52.266999999999996
+    - type: recall_at_100
+      value: 69.304
+    - type: recall_at_1000
+      value: 84.249
+    - type: recall_at_3
+      value: 41.281
+    - type: recall_at_5
+      value: 45.56
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.168
+    - type: map_at_10
+      value: 44.690999999999995
+    - type: map_at_100
+      value: 45.804
+    - type: map_at_1000
+      value: 45.876
+    - type: map_at_3
+      value: 41.385
+    - type: map_at_5
+      value: 43.375
+    - type: mrr_at_1
+      value: 38.997
+    - type: mrr_at_10
+      value: 48.782
+    - type: mrr_at_100
+      value: 49.534
+    - type: mrr_at_1000
+      value: 49.57
+    - type: mrr_at_3
+      value: 46.134
+    - type: mrr_at_5
+      value: 47.814
+    - type: ndcg_at_1
+      value: 38.997
+    - type: ndcg_at_10
+      value: 50.707
+    - type: ndcg_at_100
+      value: 55.358
+    - type: ndcg_at_1000
+      value: 56.818999999999996
+    - type: ndcg_at_3
+      value: 45.098
+    - type: ndcg_at_5
+      value: 48.065999999999995
+    - type: precision_at_1
+      value: 38.997
+    - type: precision_at_10
+      value: 8.414000000000001
+    - type: precision_at_100
+      value: 1.159
+    - type: precision_at_1000
+      value: 0.135
+    - type: precision_at_3
+      value: 20.564
+    - type: precision_at_5
+      value: 14.445
+    - type: recall_at_1
+      value: 33.168
+    - type: recall_at_10
+      value: 64.595
+    - type: recall_at_100
+      value: 85.167
+    - type: recall_at_1000
+      value: 95.485
+    - type: recall_at_3
+      value: 49.555
+    - type: recall_at_5
+      value: 56.871
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.254
+    - type: map_at_10
+      value: 23.925
+    - type: map_at_100
+      value: 25.008000000000003
+    - type: map_at_1000
+      value: 25.123
+    - type: map_at_3
+      value: 21.676000000000002
+    - type: map_at_5
+      value: 23.042
+    - type: mrr_at_1
+      value: 18.756999999999998
+    - type: mrr_at_10
+      value: 25.578
+    - type: mrr_at_100
+      value: 26.594
+    - type: mrr_at_1000
+      value: 26.680999999999997
+    - type: mrr_at_3
+      value: 23.371
+    - type: mrr_at_5
+      value: 24.721
+    - type: ndcg_at_1
+      value: 18.756999999999998
+    - type: ndcg_at_10
+      value: 27.878999999999998
+    - type: ndcg_at_100
+      value: 33.285
+    - type: ndcg_at_1000
+      value: 36.333
+    - type: ndcg_at_3
+      value: 23.461000000000002
+    - type: ndcg_at_5
+      value: 25.836
+    - type: precision_at_1
+      value: 18.756999999999998
+    - type: precision_at_10
+      value: 4.429
+    - type: precision_at_100
+      value: 0.754
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 9.981
+    - type: precision_at_5
+      value: 7.412000000000001
+    - type: recall_at_1
+      value: 17.254
+    - type: recall_at_10
+      value: 38.42
+    - type: recall_at_100
+      value: 63.50900000000001
+    - type: recall_at_1000
+      value: 86.787
+    - type: recall_at_3
+      value: 26.840999999999998
+    - type: recall_at_5
+      value: 32.4
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.495000000000001
+    - type: map_at_10
+      value: 16.505
+    - type: map_at_100
+      value: 17.59
+    - type: map_at_1000
+      value: 17.709
+    - type: map_at_3
+      value: 13.974
+    - type: map_at_5
+      value: 15.466
+    - type: mrr_at_1
+      value: 14.179
+    - type: mrr_at_10
+      value: 20.396
+    - type: mrr_at_100
+      value: 21.384
+    - type: mrr_at_1000
+      value: 21.47
+    - type: mrr_at_3
+      value: 17.828
+    - type: mrr_at_5
+      value: 19.387999999999998
+    - type: ndcg_at_1
+      value: 14.179
+    - type: ndcg_at_10
+      value: 20.852
+    - type: ndcg_at_100
+      value: 26.44
+    - type: ndcg_at_1000
+      value: 29.448999999999998
+    - type: ndcg_at_3
+      value: 16.181
+    - type: ndcg_at_5
+      value: 18.594
+    - type: precision_at_1
+      value: 14.179
+    - type: precision_at_10
+      value: 4.229
+    - type: precision_at_100
+      value: 0.8170000000000001
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 8.126
+    - type: precision_at_5
+      value: 6.493
+    - type: recall_at_1
+      value: 10.495000000000001
+    - type: recall_at_10
+      value: 30.531000000000002
+    - type: recall_at_100
+      value: 55.535999999999994
+    - type: recall_at_1000
+      value: 77.095
+    - type: recall_at_3
+      value: 17.805
+    - type: recall_at_5
+      value: 24.041
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.826999999999998
+    - type: map_at_10
+      value: 34.957
+    - type: map_at_100
+      value: 36.314
+    - type: map_at_1000
+      value: 36.437999999999995
+    - type: map_at_3
+      value: 31.328
+    - type: map_at_5
+      value: 33.254
+    - type: mrr_at_1
+      value: 31.375999999999998
+    - type: mrr_at_10
+      value: 40.493
+    - type: mrr_at_100
+      value: 41.410000000000004
+    - type: mrr_at_1000
+      value: 41.46
+    - type: mrr_at_3
+      value: 37.504
+    - type: mrr_at_5
+      value: 39.212
+    - type: ndcg_at_1
+      value: 31.375999999999998
+    - type: ndcg_at_10
+      value: 41.285
+    - type: ndcg_at_100
+      value: 46.996
+    - type: ndcg_at_1000
+      value: 49.207
+    - type: ndcg_at_3
+      value: 35.297
+    - type: ndcg_at_5
+      value: 37.999
+    - type: precision_at_1
+      value: 31.375999999999998
+    - type: precision_at_10
+      value: 7.960000000000001
+    - type: precision_at_100
+      value: 1.277
+    - type: precision_at_1000
+      value: 0.165
+    - type: precision_at_3
+      value: 17.132
+    - type: precision_at_5
+      value: 12.57
+    - type: recall_at_1
+      value: 24.826999999999998
+    - type: recall_at_10
+      value: 54.678000000000004
+    - type: recall_at_100
+      value: 78.849
+    - type: recall_at_1000
+      value: 93.36
+    - type: recall_at_3
+      value: 37.775
+    - type: recall_at_5
+      value: 44.993
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.195
+    - type: map_at_10
+      value: 29.003
+    - type: map_at_100
+      value: 30.379
+    - type: map_at_1000
+      value: 30.508000000000003
+    - type: map_at_3
+      value: 25.927
+    - type: map_at_5
+      value: 27.784
+    - type: mrr_at_1
+      value: 26.941
+    - type: mrr_at_10
+      value: 34.305
+    - type: mrr_at_100
+      value: 35.32
+    - type: mrr_at_1000
+      value: 35.386
+    - type: mrr_at_3
+      value: 31.735000000000003
+    - type: mrr_at_5
+      value: 33.213
+    - type: ndcg_at_1
+      value: 26.941
+    - type: ndcg_at_10
+      value: 34.31
+    - type: ndcg_at_100
+      value: 40.242
+    - type: ndcg_at_1000
+      value: 42.9
+    - type: ndcg_at_3
+      value: 29.198
+    - type: ndcg_at_5
+      value: 31.739
+    - type: precision_at_1
+      value: 26.941
+    - type: precision_at_10
+      value: 6.507000000000001
+    - type: precision_at_100
+      value: 1.124
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 13.850999999999999
+    - type: precision_at_5
+      value: 10.411
+    - type: recall_at_1
+      value: 21.195
+    - type: recall_at_10
+      value: 45.083
+    - type: recall_at_100
+      value: 70.14200000000001
+    - type: recall_at_1000
+      value: 88.34100000000001
+    - type: recall_at_3
+      value: 31.175000000000004
+    - type: recall_at_5
+      value: 37.625
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.293916666666664
+    - type: map_at_10
+      value: 28.353666666666665
+    - type: map_at_100
+      value: 29.524333333333335
+    - type: map_at_1000
+      value: 29.652583333333332
+    - type: map_at_3
+      value: 25.727916666666665
+    - type: map_at_5
+      value: 27.170833333333334
+    - type: mrr_at_1
+      value: 25.21375
+    - type: mrr_at_10
+      value: 32.67591666666667
+    - type: mrr_at_100
+      value: 33.56233333333334
+    - type: mrr_at_1000
+      value: 33.63283333333334
+    - type: mrr_at_3
+      value: 30.415333333333333
+    - type: mrr_at_5
+      value: 31.679583333333333
+    - type: ndcg_at_1
+      value: 25.21375
+    - type: ndcg_at_10
+      value: 33.37108333333333
+    - type: ndcg_at_100
+      value: 38.57725
+    - type: ndcg_at_1000
+      value: 41.246833333333335
+    - type: ndcg_at_3
+      value: 28.98183333333334
+    - type: ndcg_at_5
+      value: 30.986083333333337
+    - type: precision_at_1
+      value: 25.21375
+    - type: precision_at_10
+      value: 6.200583333333333
+    - type: precision_at_100
+      value: 1.0527499999999999
+    - type: precision_at_1000
+      value: 0.14675000000000002
+    - type: precision_at_3
+      value: 13.808333333333334
+    - type: precision_at_5
+      value: 9.976416666666669
+    - type: recall_at_1
+      value: 20.293916666666664
+    - type: recall_at_10
+      value: 43.90833333333333
+    - type: recall_at_100
+      value: 67.26575
+    - type: recall_at_1000
+      value: 86.18591666666666
+    - type: recall_at_3
+      value: 31.387416666666667
+    - type: recall_at_5
+      value: 36.73883333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.043000000000001
+    - type: map_at_10
+      value: 22.203
+    - type: map_at_100
+      value: 23.254
+    - type: map_at_1000
+      value: 23.362
+    - type: map_at_3
+      value: 20.157
+    - type: map_at_5
+      value: 21.201999999999998
+    - type: mrr_at_1
+      value: 17.485
+    - type: mrr_at_10
+      value: 24.729
+    - type: mrr_at_100
+      value: 25.715
+    - type: mrr_at_1000
+      value: 25.796999999999997
+    - type: mrr_at_3
+      value: 22.725
+    - type: mrr_at_5
+      value: 23.829
+    - type: ndcg_at_1
+      value: 17.485
+    - type: ndcg_at_10
+      value: 26.31
+    - type: ndcg_at_100
+      value: 31.722
+    - type: ndcg_at_1000
+      value: 34.621
+    - type: ndcg_at_3
+      value: 22.414
+    - type: ndcg_at_5
+      value: 24.125
+    - type: precision_at_1
+      value: 17.485
+    - type: precision_at_10
+      value: 4.601
+    - type: precision_at_100
+      value: 0.7849999999999999
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 10.327
+    - type: precision_at_5
+      value: 7.331
+    - type: recall_at_1
+      value: 15.043000000000001
+    - type: recall_at_10
+      value: 36.361
+    - type: recall_at_100
+      value: 61.63999999999999
+    - type: recall_at_1000
+      value: 83.443
+    - type: recall_at_3
+      value: 25.591
+    - type: recall_at_5
+      value: 29.808
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.018
+    - type: map_at_10
+      value: 15.886
+    - type: map_at_100
+      value: 16.830000000000002
+    - type: map_at_1000
+      value: 16.956
+    - type: map_at_3
+      value: 14.222000000000001
+    - type: map_at_5
+      value: 15.110999999999999
+    - type: mrr_at_1
+      value: 14.625
+    - type: mrr_at_10
+      value: 19.677
+    - type: mrr_at_100
+      value: 20.532
+    - type: mrr_at_1000
+      value: 20.622
+    - type: mrr_at_3
+      value: 17.992
+    - type: mrr_at_5
+      value: 18.909000000000002
+    - type: ndcg_at_1
+      value: 14.625
+    - type: ndcg_at_10
+      value: 19.414
+    - type: ndcg_at_100
+      value: 24.152
+    - type: ndcg_at_1000
+      value: 27.433000000000003
+    - type: ndcg_at_3
+      value: 16.495
+    - type: ndcg_at_5
+      value: 17.742
+    - type: precision_at_1
+      value: 14.625
+    - type: precision_at_10
+      value: 3.833
+    - type: precision_at_100
+      value: 0.744
+    - type: precision_at_1000
+      value: 0.11900000000000001
+    - type: precision_at_3
+      value: 8.213
+    - type: precision_at_5
+      value: 6.036
+    - type: recall_at_1
+      value: 11.018
+    - type: recall_at_10
+      value: 26.346000000000004
+    - type: recall_at_100
+      value: 47.99
+    - type: recall_at_1000
+      value: 72.002
+    - type: recall_at_3
+      value: 17.762
+    - type: recall_at_5
+      value: 21.249000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.053
+    - type: map_at_10
+      value: 27.950000000000003
+    - type: map_at_100
+      value: 29.207
+    - type: map_at_1000
+      value: 29.309
+    - type: map_at_3
+      value: 25.612000000000002
+    - type: map_at_5
+      value: 26.793
+    - type: mrr_at_1
+      value: 24.813
+    - type: mrr_at_10
+      value: 32.297
+    - type: mrr_at_100
+      value: 33.312999999999995
+    - type: mrr_at_1000
+      value: 33.379999999999995
+    - type: mrr_at_3
+      value: 30.239
+    - type: mrr_at_5
+      value: 31.368000000000002
+    - type: ndcg_at_1
+      value: 24.813
+    - type: ndcg_at_10
+      value: 32.722
+    - type: ndcg_at_100
+      value: 38.603
+    - type: ndcg_at_1000
+      value: 41.11
+    - type: ndcg_at_3
+      value: 28.74
+    - type: ndcg_at_5
+      value: 30.341
+    - type: precision_at_1
+      value: 24.813
+    - type: precision_at_10
+      value: 5.83
+    - type: precision_at_100
+      value: 0.9860000000000001
+    - type: precision_at_1000
+      value: 0.13
+    - type: precision_at_3
+      value: 13.433
+    - type: precision_at_5
+      value: 9.384
+    - type: recall_at_1
+      value: 20.053
+    - type: recall_at_10
+      value: 42.867
+    - type: recall_at_100
+      value: 68.90899999999999
+    - type: recall_at_1000
+      value: 87.031
+    - type: recall_at_3
+      value: 31.606
+    - type: recall_at_5
+      value: 35.988
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.696
+    - type: map_at_10
+      value: 29.741
+    - type: map_at_100
+      value: 30.958999999999996
+    - type: map_at_1000
+      value: 31.22
+    - type: map_at_3
+      value: 26.679000000000002
+    - type: map_at_5
+      value: 28.244999999999997
+    - type: mrr_at_1
+      value: 27.272999999999996
+    - type: mrr_at_10
+      value: 35.101
+    - type: mrr_at_100
+      value: 35.91
+    - type: mrr_at_1000
+      value: 35.987
+    - type: mrr_at_3
+      value: 32.378
+    - type: mrr_at_5
+      value: 33.732
+    - type: ndcg_at_1
+      value: 27.272999999999996
+    - type: ndcg_at_10
+      value: 36.136
+    - type: ndcg_at_100
+      value: 40.9
+    - type: ndcg_at_1000
+      value: 44.184
+    - type: ndcg_at_3
+      value: 31.123
+    - type: ndcg_at_5
+      value: 33.182
+    - type: precision_at_1
+      value: 27.272999999999996
+    - type: precision_at_10
+      value: 7.489999999999999
+    - type: precision_at_100
+      value: 1.506
+    - type: precision_at_1000
+      value: 0.24
+    - type: precision_at_3
+      value: 15.348999999999998
+    - type: precision_at_5
+      value: 11.344
+    - type: recall_at_1
+      value: 20.696
+    - type: recall_at_10
+      value: 48.041
+    - type: recall_at_100
+      value: 71.316
+    - type: recall_at_1000
+      value: 92.794
+    - type: recall_at_3
+      value: 32.983000000000004
+    - type: recall_at_5
+      value: 38.627
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.567000000000002
+    - type: map_at_10
+      value: 19.326
+    - type: map_at_100
+      value: 20.164
+    - type: map_at_1000
+      value: 20.283
+    - type: map_at_3
+      value: 17.613
+    - type: map_at_5
+      value: 18.519
+    - type: mrr_at_1
+      value: 15.157000000000002
+    - type: mrr_at_10
+      value: 21.38
+    - type: mrr_at_100
+      value: 22.163
+    - type: mrr_at_1000
+      value: 22.261
+    - type: mrr_at_3
+      value: 19.624
+    - type: mrr_at_5
+      value: 20.548
+    - type: ndcg_at_1
+      value: 15.157000000000002
+    - type: ndcg_at_10
+      value: 23.044999999999998
+    - type: ndcg_at_100
+      value: 27.586
+    - type: ndcg_at_1000
+      value: 30.848
+    - type: ndcg_at_3
+      value: 19.506999999999998
+    - type: ndcg_at_5
+      value: 21.101
+    - type: precision_at_1
+      value: 15.157000000000002
+    - type: precision_at_10
+      value: 3.7150000000000003
+    - type: precision_at_100
+      value: 0.651
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 8.626000000000001
+    - type: precision_at_5
+      value: 6.026
+    - type: recall_at_1
+      value: 13.567000000000002
+    - type: recall_at_10
+      value: 32.646
+    - type: recall_at_100
+      value: 54.225
+    - type: recall_at_1000
+      value: 79.12700000000001
+    - type: recall_at_3
+      value: 22.994
+    - type: recall_at_5
+      value: 26.912999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.26
+    - type: map_at_10
+      value: 15.109
+    - type: map_at_100
+      value: 17.155
+    - type: map_at_1000
+      value: 17.354
+    - type: map_at_3
+      value: 11.772
+    - type: map_at_5
+      value: 13.542000000000002
+    - type: mrr_at_1
+      value: 16.678
+    - type: mrr_at_10
+      value: 29.470000000000002
+    - type: mrr_at_100
+      value: 30.676
+    - type: mrr_at_1000
+      value: 30.714999999999996
+    - type: mrr_at_3
+      value: 25.44
+    - type: mrr_at_5
+      value: 27.792
+    - type: ndcg_at_1
+      value: 16.678
+    - type: ndcg_at_10
+      value: 22.967000000000002
+    - type: ndcg_at_100
+      value: 31.253999999999998
+    - type: ndcg_at_1000
+      value: 34.748000000000005
+    - type: ndcg_at_3
+      value: 17.058
+    - type: ndcg_at_5
+      value: 19.43
+    - type: precision_at_1
+      value: 16.678
+    - type: precision_at_10
+      value: 7.974
+    - type: precision_at_100
+      value: 1.6740000000000002
+    - type: precision_at_1000
+      value: 0.232
+    - type: precision_at_3
+      value: 13.681
+    - type: precision_at_5
+      value: 11.322000000000001
+    - type: recall_at_1
+      value: 7.26
+    - type: recall_at_10
+      value: 30.407
+    - type: recall_at_100
+      value: 59.073
+    - type: recall_at_1000
+      value: 78.58800000000001
+    - type: recall_at_3
+      value: 16.493
+    - type: recall_at_5
+      value: 22.453
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.176
+    - type: map_at_10
+      value: 11.951
+    - type: map_at_100
+      value: 16.208
+    - type: map_at_1000
+      value: 17.067
+    - type: map_at_3
+      value: 8.669
+    - type: map_at_5
+      value: 10.061
+    - type: mrr_at_1
+      value: 42.5
+    - type: mrr_at_10
+      value: 54.312000000000005
+    - type: mrr_at_100
+      value: 54.925999999999995
+    - type: mrr_at_1000
+      value: 54.959
+    - type: mrr_at_3
+      value: 52.292
+    - type: mrr_at_5
+      value: 53.554
+    - type: ndcg_at_1
+      value: 31.374999999999996
+    - type: ndcg_at_10
+      value: 25.480999999999998
+    - type: ndcg_at_100
+      value: 30.018
+    - type: ndcg_at_1000
+      value: 36.103
+    - type: ndcg_at_3
+      value: 27.712999999999997
+    - type: ndcg_at_5
+      value: 26.415
+    - type: precision_at_1
+      value: 42.5
+    - type: precision_at_10
+      value: 20.549999999999997
+    - type: precision_at_100
+      value: 6.387
+    - type: precision_at_1000
+      value: 1.204
+    - type: precision_at_3
+      value: 32.917
+    - type: precision_at_5
+      value: 27.400000000000002
+    - type: recall_at_1
+      value: 5.176
+    - type: recall_at_10
+      value: 18.335
+    - type: recall_at_100
+      value: 38.629999999999995
+    - type: recall_at_1000
+      value: 59.74699999999999
+    - type: recall_at_3
+      value: 10.36
+    - type: recall_at_5
+      value: 13.413
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 48.885
+    - type: f1
+      value: 44.330258440550644
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.211
+    - type: map_at_10
+      value: 37.946999999999996
+    - type: map_at_100
+      value: 38.852
+    - type: map_at_1000
+      value: 38.896
+    - type: map_at_3
+      value: 34.445
+    - type: map_at_5
+      value: 36.451
+    - type: mrr_at_1
+      value: 27.453
+    - type: mrr_at_10
+      value: 40.505
+    - type: mrr_at_100
+      value: 41.342
+    - type: mrr_at_1000
+      value: 41.377
+    - type: mrr_at_3
+      value: 36.971
+    - type: mrr_at_5
+      value: 39.013999999999996
+    - type: ndcg_at_1
+      value: 27.453
+    - type: ndcg_at_10
+      value: 45.106
+    - type: ndcg_at_100
+      value: 49.357
+    - type: ndcg_at_1000
+      value: 50.546
+    - type: ndcg_at_3
+      value: 38.063
+    - type: ndcg_at_5
+      value: 41.603
+    - type: precision_at_1
+      value: 27.453
+    - type: precision_at_10
+      value: 7.136000000000001
+    - type: precision_at_100
+      value: 0.9390000000000001
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 16.677
+    - type: precision_at_5
+      value: 11.899
+    - type: recall_at_1
+      value: 25.211
+    - type: recall_at_10
+      value: 64.964
+    - type: recall_at_100
+      value: 84.23
+    - type: recall_at_1000
+      value: 93.307
+    - type: recall_at_3
+      value: 45.936
+    - type: recall_at_5
+      value: 54.489
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.434
+    - type: map_at_10
+      value: 20.325
+    - type: map_at_100
+      value: 22.267
+    - type: map_at_1000
+      value: 22.46
+    - type: map_at_3
+      value: 16.864
+    - type: map_at_5
+      value: 18.584999999999997
+    - type: mrr_at_1
+      value: 24.074
+    - type: mrr_at_10
+      value: 32.487
+    - type: mrr_at_100
+      value: 33.595000000000006
+    - type: mrr_at_1000
+      value: 33.649
+    - type: mrr_at_3
+      value: 29.578
+    - type: mrr_at_5
+      value: 31.044
+    - type: ndcg_at_1
+      value: 24.074
+    - type: ndcg_at_10
+      value: 27.244
+    - type: ndcg_at_100
+      value: 35.244
+    - type: ndcg_at_1000
+      value: 38.964999999999996
+    - type: ndcg_at_3
+      value: 22.709
+    - type: ndcg_at_5
+      value: 24.114
+    - type: precision_at_1
+      value: 24.074
+    - type: precision_at_10
+      value: 8.21
+    - type: precision_at_100
+      value: 1.627
+    - type: precision_at_1000
+      value: 0.22999999999999998
+    - type: precision_at_3
+      value: 15.741
+    - type: precision_at_5
+      value: 12.037
+    - type: recall_at_1
+      value: 11.434
+    - type: recall_at_10
+      value: 35.423
+    - type: recall_at_100
+      value: 66.056
+    - type: recall_at_1000
+      value: 88.63799999999999
+    - type: recall_at_3
+      value: 20.968
+    - type: recall_at_5
+      value: 26.540999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.506
+    - type: map_at_10
+      value: 44.864
+    - type: map_at_100
+      value: 46.016
+    - type: map_at_1000
+      value: 46.1
+    - type: map_at_3
+      value: 41.518
+    - type: map_at_5
+      value: 43.461
+    - type: mrr_at_1
+      value: 61.013
+    - type: mrr_at_10
+      value: 69.918
+    - type: mrr_at_100
+      value: 70.327
+    - type: mrr_at_1000
+      value: 70.342
+    - type: mrr_at_3
+      value: 68.226
+    - type: mrr_at_5
+      value: 69.273
+    - type: ndcg_at_1
+      value: 61.013
+    - type: ndcg_at_10
+      value: 54.539
+    - type: ndcg_at_100
+      value: 58.819
+    - type: ndcg_at_1000
+      value: 60.473
+    - type: ndcg_at_3
+      value: 49.27
+    - type: ndcg_at_5
+      value: 51.993
+    - type: precision_at_1
+      value: 61.013
+    - type: precision_at_10
+      value: 11.757
+    - type: precision_at_100
+      value: 1.5110000000000001
+    - type: precision_at_1000
+      value: 0.173
+    - type: precision_at_3
+      value: 31.339
+    - type: precision_at_5
+      value: 20.959
+    - type: recall_at_1
+      value: 30.506
+    - type: recall_at_10
+      value: 58.785
+    - type: recall_at_100
+      value: 75.55
+    - type: recall_at_1000
+      value: 86.455
+    - type: recall_at_3
+      value: 47.009
+    - type: recall_at_5
+      value: 52.397000000000006
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 77.954
+    - type: ap
+      value: 73.06067313842448
+    - type: f1
+      value: 77.6469083443121
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.7170000000000005
+    - type: map_at_10
+      value: 14.696000000000002
+    - type: map_at_100
+      value: 15.973
+    - type: map_at_1000
+      value: 16.079
+    - type: map_at_3
+      value: 12.059000000000001
+    - type: map_at_5
+      value: 13.478000000000002
+    - type: mrr_at_1
+      value: 7.9079999999999995
+    - type: mrr_at_10
+      value: 14.972
+    - type: mrr_at_100
+      value: 16.235
+    - type: mrr_at_1000
+      value: 16.337
+    - type: mrr_at_3
+      value: 12.323
+    - type: mrr_at_5
+      value: 13.751
+    - type: ndcg_at_1
+      value: 7.9079999999999995
+    - type: ndcg_at_10
+      value: 19.131
+    - type: ndcg_at_100
+      value: 25.868000000000002
+    - type: ndcg_at_1000
+      value: 28.823999999999998
+    - type: ndcg_at_3
+      value: 13.611
+    - type: ndcg_at_5
+      value: 16.178
+    - type: precision_at_1
+      value: 7.9079999999999995
+    - type: precision_at_10
+      value: 3.4259999999999997
+    - type: precision_at_100
+      value: 0.687
+    - type: precision_at_1000
+      value: 0.094
+    - type: precision_at_3
+      value: 6.103
+    - type: precision_at_5
+      value: 4.951
+    - type: recall_at_1
+      value: 7.7170000000000005
+    - type: recall_at_10
+      value: 33.147999999999996
+    - type: recall_at_100
+      value: 65.55199999999999
+    - type: recall_at_1000
+      value: 88.748
+    - type: recall_at_3
+      value: 17.863
+    - type: recall_at_5
+      value: 24.083
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 95.48335613315093
+    - type: f1
+      value: 95.18813547597892
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 82.83857729138167
+    - type: f1
+      value: 63.61922697275075
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 76.65433759246805
+    - type: f1
+      value: 73.24385243140212
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 79.98655010087425
+    - type: f1
+      value: 79.3880305174127
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.109152457220606
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 26.928355856501696
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 29.73337424086118
+    - type: mrr
+      value: 30.753319352871074
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.303
+    - type: map_at_10
+      value: 9.653
+    - type: map_at_100
+      value: 11.952
+    - type: map_at_1000
+      value: 13.126999999999999
+    - type: map_at_3
+      value: 6.976
+    - type: map_at_5
+      value: 8.292
+    - type: mrr_at_1
+      value: 35.913000000000004
+    - type: mrr_at_10
+      value: 45.827
+    - type: mrr_at_100
+      value: 46.587
+    - type: mrr_at_1000
+      value: 46.635
+    - type: mrr_at_3
+      value: 43.344
+    - type: mrr_at_5
+      value: 44.876
+    - type: ndcg_at_1
+      value: 34.056
+    - type: ndcg_at_10
+      value: 27.161
+    - type: ndcg_at_100
+      value: 25.552999999999997
+    - type: ndcg_at_1000
+      value: 34.671
+    - type: ndcg_at_3
+      value: 31.267
+    - type: ndcg_at_5
+      value: 29.896
+    - type: precision_at_1
+      value: 35.604
+    - type: precision_at_10
+      value: 19.969
+    - type: precision_at_100
+      value: 6.115
+    - type: precision_at_1000
+      value: 1.892
+    - type: precision_at_3
+      value: 29.825000000000003
+    - type: precision_at_5
+      value: 26.253999999999998
+    - type: recall_at_1
+      value: 4.303
+    - type: recall_at_10
+      value: 14.033999999999999
+    - type: recall_at_100
+      value: 28.250999999999998
+    - type: recall_at_1000
+      value: 58.751
+    - type: recall_at_3
+      value: 8.257
+    - type: recall_at_5
+      value: 10.761999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.668000000000001
+    - type: map_at_10
+      value: 26.593
+    - type: map_at_100
+      value: 28.094
+    - type: map_at_1000
+      value: 28.155
+    - type: map_at_3
+      value: 22.054000000000002
+    - type: map_at_5
+      value: 24.583
+    - type: mrr_at_1
+      value: 17.063
+    - type: mrr_at_10
+      value: 29.061999999999998
+    - type: mrr_at_100
+      value: 30.281000000000002
+    - type: mrr_at_1000
+      value: 30.325000000000003
+    - type: mrr_at_3
+      value: 24.754
+    - type: mrr_at_5
+      value: 27.281
+    - type: ndcg_at_1
+      value: 17.034
+    - type: ndcg_at_10
+      value: 34.157
+    - type: ndcg_at_100
+      value: 40.988
+    - type: ndcg_at_1000
+      value: 42.382999999999996
+    - type: ndcg_at_3
+      value: 25.076999999999998
+    - type: ndcg_at_5
+      value: 29.572
+    - type: precision_at_1
+      value: 17.034
+    - type: precision_at_10
+      value: 6.561
+    - type: precision_at_100
+      value: 1.04
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 12.167
+    - type: precision_at_5
+      value: 9.809
+    - type: recall_at_1
+      value: 14.668000000000001
+    - type: recall_at_10
+      value: 55.291999999999994
+    - type: recall_at_100
+      value: 85.82
+    - type: recall_at_1000
+      value: 96.164
+    - type: recall_at_3
+      value: 31.208999999999996
+    - type: recall_at_5
+      value: 41.766
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 66.20899999999999
+    - type: map_at_10
+      value: 80.024
+    - type: map_at_100
+      value: 80.73
+    - type: map_at_1000
+      value: 80.753
+    - type: map_at_3
+      value: 76.82900000000001
+    - type: map_at_5
+      value: 78.866
+    - type: mrr_at_1
+      value: 76.25
+    - type: mrr_at_10
+      value: 83.382
+    - type: mrr_at_100
+      value: 83.535
+    - type: mrr_at_1000
+      value: 83.538
+    - type: mrr_at_3
+      value: 82.013
+    - type: mrr_at_5
+      value: 82.931
+    - type: ndcg_at_1
+      value: 76.25999999999999
+    - type: ndcg_at_10
+      value: 84.397
+    - type: ndcg_at_100
+      value: 85.988
+    - type: ndcg_at_1000
+      value: 86.18299999999999
+    - type: ndcg_at_3
+      value: 80.778
+    - type: ndcg_at_5
+      value: 82.801
+    - type: precision_at_1
+      value: 76.25999999999999
+    - type: precision_at_10
+      value: 12.952
+    - type: precision_at_100
+      value: 1.509
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 35.323
+    - type: precision_at_5
+      value: 23.524
+    - type: recall_at_1
+      value: 66.20899999999999
+    - type: recall_at_10
+      value: 93.108
+    - type: recall_at_100
+      value: 98.817
+    - type: recall_at_1000
+      value: 99.857
+    - type: recall_at_3
+      value: 83.031
+    - type: recall_at_5
+      value: 88.441
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 41.82535503883439
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 62.077510084458055
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.383
+    - type: map_at_10
+      value: 8.839
+    - type: map_at_100
+      value: 10.876
+    - type: map_at_1000
+      value: 11.201
+    - type: map_at_3
+      value: 6.361
+    - type: map_at_5
+      value: 7.536
+    - type: mrr_at_1
+      value: 16.6
+    - type: mrr_at_10
+      value: 26.003999999999998
+    - type: mrr_at_100
+      value: 27.271
+    - type: mrr_at_1000
+      value: 27.354
+    - type: mrr_at_3
+      value: 22.900000000000002
+    - type: mrr_at_5
+      value: 24.58
+    - type: ndcg_at_1
+      value: 16.6
+    - type: ndcg_at_10
+      value: 15.345
+    - type: ndcg_at_100
+      value: 23.659
+    - type: ndcg_at_1000
+      value: 29.537000000000003
+    - type: ndcg_at_3
+      value: 14.283999999999999
+    - type: ndcg_at_5
+      value: 12.509999999999998
+    - type: precision_at_1
+      value: 16.6
+    - type: precision_at_10
+      value: 8.17
+    - type: precision_at_100
+      value: 2.028
+    - type: precision_at_1000
+      value: 0.34299999999999997
+    - type: precision_at_3
+      value: 13.633000000000001
+    - type: precision_at_5
+      value: 11.16
+    - type: recall_at_1
+      value: 3.383
+    - type: recall_at_10
+      value: 16.557
+    - type: recall_at_100
+      value: 41.123
+    - type: recall_at_1000
+      value: 69.67999999999999
+    - type: recall_at_3
+      value: 8.298
+    - type: recall_at_5
+      value: 11.322000000000001
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_spearman
+      value: 75.55405115197729
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_spearman
+      value: 67.65074099726466
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_spearman
+      value: 83.89765011154986
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_spearman
+      value: 76.97256789216159
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_spearman
+      value: 83.80216382863031
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_spearman
+      value: 81.90574806413879
+  - 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: 85.58485422591949
+  - 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: 65.92967262944444
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_spearman
+      value: 80.41509666334721
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 77.81287769479543
+    - type: mrr
+      value: 94.13409665860645
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 52.093999999999994
+    - type: map_at_10
+      value: 63.641999999999996
+    - type: map_at_100
+      value: 64.402
+    - type: map_at_1000
+      value: 64.416
+    - type: map_at_3
+      value: 60.878
+    - type: map_at_5
+      value: 62.778
+    - type: mrr_at_1
+      value: 55.333
+    - type: mrr_at_10
+      value: 65.139
+    - type: mrr_at_100
+      value: 65.75999999999999
+    - type: mrr_at_1000
+      value: 65.77199999999999
+    - type: mrr_at_3
+      value: 62.944
+    - type: mrr_at_5
+      value: 64.511
+    - type: ndcg_at_1
+      value: 55.333
+    - type: ndcg_at_10
+      value: 68.675
+    - type: ndcg_at_100
+      value: 71.794
+    - type: ndcg_at_1000
+      value: 72.18299999999999
+    - type: ndcg_at_3
+      value: 63.977
+    - type: ndcg_at_5
+      value: 66.866
+    - type: precision_at_1
+      value: 55.333
+    - type: precision_at_10
+      value: 9.232999999999999
+    - type: precision_at_100
+      value: 1.087
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 25.667
+    - type: precision_at_5
+      value: 17.0
+    - type: recall_at_1
+      value: 52.093999999999994
+    - type: recall_at_10
+      value: 82.506
+    - type: recall_at_100
+      value: 95.933
+    - type: recall_at_1000
+      value: 99.0
+    - type: recall_at_3
+      value: 70.078
+    - type: recall_at_5
+      value: 77.35600000000001
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.7128712871287
+    - type: cos_sim_ap
+      value: 91.30057039245253
+    - type: cos_sim_f1
+      value: 85.35480624056368
+    - type: cos_sim_precision
+      value: 85.91691995947315
+    - type: cos_sim_recall
+      value: 84.8
+    - type: dot_accuracy
+      value: 99.35346534653465
+    - type: dot_ap
+      value: 67.929309733355
+    - type: dot_f1
+      value: 63.94205897568547
+    - type: dot_precision
+      value: 66.2379421221865
+    - type: dot_recall
+      value: 61.8
+    - type: euclidean_accuracy
+      value: 99.69009900990099
+    - type: euclidean_ap
+      value: 89.62179420600057
+    - type: euclidean_f1
+      value: 83.93039918116682
+    - type: euclidean_precision
+      value: 85.9538784067086
+    - type: euclidean_recall
+      value: 82.0
+    - type: manhattan_accuracy
+      value: 99.70990099009902
+    - type: manhattan_ap
+      value: 90.29611631593602
+    - type: manhattan_f1
+      value: 84.81729284611424
+    - type: manhattan_precision
+      value: 87.38069989395547
+    - type: manhattan_recall
+      value: 82.39999999999999
+    - type: max_accuracy
+      value: 99.7128712871287
+    - type: max_ap
+      value: 91.30057039245253
+    - type: max_f1
+      value: 85.35480624056368
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 67.33611278831218
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.504437768624214
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 49.80014786474266
+    - type: mrr
+      value: 50.468909154570916
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.677648147466808
+    - type: cos_sim_spearman
+      value: 30.191761045901888
+    - type: dot_pearson
+      value: 23.16759191245942
+    - type: dot_spearman
+      value: 23.186942570638486
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.214
+    - type: map_at_10
+      value: 1.2309999999999999
+    - type: map_at_100
+      value: 5.867
+    - type: map_at_1000
+      value: 14.671999999999999
+    - type: map_at_3
+      value: 0.519
+    - type: map_at_5
+      value: 0.764
+    - type: mrr_at_1
+      value: 82.0
+    - type: mrr_at_10
+      value: 87.519
+    - type: mrr_at_100
+      value: 87.519
+    - type: mrr_at_1000
+      value: 87.536
+    - type: mrr_at_3
+      value: 86.333
+    - type: mrr_at_5
+      value: 87.233
+    - type: ndcg_at_1
+      value: 77.0
+    - type: ndcg_at_10
+      value: 55.665
+    - type: ndcg_at_100
+      value: 39.410000000000004
+    - type: ndcg_at_1000
+      value: 37.21
+    - type: ndcg_at_3
+      value: 65.263
+    - type: ndcg_at_5
+      value: 61.424
+    - type: precision_at_1
+      value: 82.0
+    - type: precision_at_10
+      value: 55.400000000000006
+    - type: precision_at_100
+      value: 39.04
+    - type: precision_at_1000
+      value: 16.788
+    - type: precision_at_3
+      value: 67.333
+    - type: precision_at_5
+      value: 62.8
+    - type: recall_at_1
+      value: 0.214
+    - type: recall_at_10
+      value: 1.4200000000000002
+    - type: recall_at_100
+      value: 9.231
+    - type: recall_at_1000
+      value: 35.136
+    - type: recall_at_3
+      value: 0.544
+    - type: recall_at_5
+      value: 0.832
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.41000000000000003
+    - type: map_at_10
+      value: 2.32
+    - type: map_at_100
+      value: 4.077
+    - type: map_at_1000
+      value: 4.9430000000000005
+    - type: map_at_3
+      value: 1.087
+    - type: map_at_5
+      value: 1.466
+    - type: mrr_at_1
+      value: 6.122
+    - type: mrr_at_10
+      value: 13.999
+    - type: mrr_at_100
+      value: 16.524
+    - type: mrr_at_1000
+      value: 16.567999999999998
+    - type: mrr_at_3
+      value: 11.224
+    - type: mrr_at_5
+      value: 13.163
+    - type: ndcg_at_1
+      value: 5.102
+    - type: ndcg_at_10
+      value: 6.542000000000001
+    - type: ndcg_at_100
+      value: 14.127
+    - type: ndcg_at_1000
+      value: 24.396
+    - type: ndcg_at_3
+      value: 5.653
+    - type: ndcg_at_5
+      value: 5.5649999999999995
+    - type: precision_at_1
+      value: 6.122
+    - type: precision_at_10
+      value: 7.142999999999999
+    - type: precision_at_100
+      value: 3.51
+    - type: precision_at_1000
+      value: 0.9860000000000001
+    - type: precision_at_3
+      value: 6.802999999999999
+    - type: precision_at_5
+      value: 6.938999999999999
+    - type: recall_at_1
+      value: 0.41000000000000003
+    - type: recall_at_10
+      value: 5.627
+    - type: recall_at_100
+      value: 23.121
+    - type: recall_at_1000
+      value: 54.626
+    - type: recall_at_3
+      value: 1.763
+    - type: recall_at_5
+      value: 3.013
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 70.71119999999999
+    - type: ap
+      value: 15.1342268718371
+    - type: f1
+      value: 55.043262693594855
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 60.89983022071308
+    - type: f1
+      value: 61.13086468149106
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 30.264802332456515
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.46086904690947
+    - type: cos_sim_ap
+      value: 68.76039123104324
+    - type: cos_sim_f1
+      value: 63.002224839680665
+    - type: cos_sim_precision
+      value: 62.503245910153204
+    - type: cos_sim_recall
+      value: 63.50923482849604
+    - type: dot_accuracy
+      value: 80.07391071109257
+    - type: dot_ap
+      value: 53.43322643579626
+    - type: dot_f1
+      value: 52.6850065983149
+    - type: dot_precision
+      value: 42.81471704339218
+    - type: dot_recall
+      value: 68.46965699208444
+    - type: euclidean_accuracy
+      value: 84.2701317279609
+    - type: euclidean_ap
+      value: 67.55078414631596
+    - type: euclidean_f1
+      value: 62.90723537877797
+    - type: euclidean_precision
+      value: 62.392940565792884
+    - type: euclidean_recall
+      value: 63.43007915567283
+    - type: manhattan_accuracy
+      value: 84.22244739822375
+    - type: manhattan_ap
+      value: 67.92488847948273
+    - type: manhattan_f1
+      value: 62.99132210311383
+    - type: manhattan_precision
+      value: 60.99851705388038
+    - type: manhattan_recall
+      value: 65.11873350923483
+    - type: max_accuracy
+      value: 84.46086904690947
+    - type: max_ap
+      value: 68.76039123104324
+    - type: max_f1
+      value: 63.002224839680665
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.71296619707377
+    - type: cos_sim_ap
+      value: 82.76174215711472
+    - type: cos_sim_f1
+      value: 75.73585592141168
+    - type: cos_sim_precision
+      value: 71.79416430985721
+    - type: cos_sim_recall
+      value: 80.1355097012627
+    - type: dot_accuracy
+      value: 85.62502425583111
+    - type: dot_ap
+      value: 77.50549495030725
+    - type: dot_f1
+      value: 71.47900863425035
+    - type: dot_precision
+      value: 65.4587361546834
+    - type: dot_recall
+      value: 78.71881736987989
+    - type: euclidean_accuracy
+      value: 87.12694531765437
+    - type: euclidean_ap
+      value: 81.63583409712018
+    - type: euclidean_f1
+      value: 74.50966015324268
+    - type: euclidean_precision
+      value: 71.11764294212331
+    - type: euclidean_recall
+      value: 78.24145364952264
+    - type: manhattan_accuracy
+      value: 87.35009896379088
+    - type: manhattan_ap
+      value: 82.20417545366242
+    - type: manhattan_f1
+      value: 74.84157622550805
+    - type: manhattan_precision
+      value: 71.00898410504493
+    - type: manhattan_recall
+      value: 79.11148752694795
+    - type: max_accuracy
+      value: 87.71296619707377
+    - type: max_ap
+      value: 82.76174215711472
+    - type: max_f1
+      value: 75.73585592141168
 ---
 
 # LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders