Update README.md

README.md

@@ -23,6 +23,2501 @@ tags:
 - fever
 - hotpot_qa
 - mteb
+model-index:
+- name: LLM2Vec-Llama-2-unsupervised
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 76.91044776119402
+    - type: ap
+      value: 41.73039886859448
+    - type: f1
+      value: 71.49663106134554
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 79.0549
+    - type: ap
+      value: 74.50419535911905
+    - type: f1
+      value: 78.87370110570745
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 40.07999999999999
+    - type: f1
+      value: 39.74598250149754
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.973
+    - type: map_at_10
+      value: 38.217
+    - type: map_at_100
+      value: 39.247
+    - type: map_at_1000
+      value: 39.263
+    - type: map_at_3
+      value: 33.108
+    - type: map_at_5
+      value: 35.942
+    - type: mrr_at_1
+      value: 23.755000000000003
+    - type: mrr_at_10
+      value: 38.495000000000005
+    - type: mrr_at_100
+      value: 39.525
+    - type: mrr_at_1000
+      value: 39.541
+    - type: mrr_at_3
+      value: 33.333
+    - type: mrr_at_5
+      value: 36.221
+    - type: ndcg_at_1
+      value: 22.973
+    - type: ndcg_at_10
+      value: 47.093
+    - type: ndcg_at_100
+      value: 51.745
+    - type: ndcg_at_1000
+      value: 52.126
+    - type: ndcg_at_3
+      value: 36.473
+    - type: ndcg_at_5
+      value: 41.591
+    - type: precision_at_1
+      value: 22.973
+    - type: precision_at_10
+      value: 7.568
+    - type: precision_at_100
+      value: 0.966
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 15.409999999999998
+    - type: precision_at_5
+      value: 11.735
+    - type: recall_at_1
+      value: 22.973
+    - type: recall_at_10
+      value: 75.676
+    - type: recall_at_100
+      value: 96.586
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 46.23
+    - type: recall_at_5
+      value: 58.677
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 47.808566636089296
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 40.53253525071289
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 55.564312661366564
+    - type: mrr
+      value: 69.24526227850326
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_spearman
+      value: 82.40790181633206
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 84.64935064935064
+    - type: f1
+      value: 84.59305945931867
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 38.11916694447953
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 31.248648913887024
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.483
+    - type: map_at_10
+      value: 34.549
+    - type: map_at_100
+      value: 36.106
+    - type: map_at_1000
+      value: 36.253
+    - type: map_at_3
+      value: 31.313999999999997
+    - type: map_at_5
+      value: 32.987
+    - type: mrr_at_1
+      value: 32.046
+    - type: mrr_at_10
+      value: 41.217999999999996
+    - type: mrr_at_100
+      value: 42.068
+    - type: mrr_at_1000
+      value: 42.126999999999995
+    - type: mrr_at_3
+      value: 38.746
+    - type: mrr_at_5
+      value: 40.083
+    - type: ndcg_at_1
+      value: 32.046
+    - type: ndcg_at_10
+      value: 40.927
+    - type: ndcg_at_100
+      value: 46.5
+    - type: ndcg_at_1000
+      value: 49.043
+    - type: ndcg_at_3
+      value: 36.448
+    - type: ndcg_at_5
+      value: 38.199
+    - type: precision_at_1
+      value: 32.046
+    - type: precision_at_10
+      value: 8.484
+    - type: precision_at_100
+      value: 1.443
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 18.407
+    - type: precision_at_5
+      value: 13.419
+    - type: recall_at_1
+      value: 24.483
+    - type: recall_at_10
+      value: 51.946999999999996
+    - type: recall_at_100
+      value: 75.842
+    - type: recall_at_1000
+      value: 93.368
+    - type: recall_at_3
+      value: 38.023
+    - type: recall_at_5
+      value: 43.356
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.090999999999998
+    - type: map_at_10
+      value: 36.106
+    - type: map_at_100
+      value: 37.188
+    - type: map_at_1000
+      value: 37.32
+    - type: map_at_3
+      value: 33.293
+    - type: map_at_5
+      value: 34.755
+    - type: mrr_at_1
+      value: 35.86
+    - type: mrr_at_10
+      value: 42.979
+    - type: mrr_at_100
+      value: 43.619
+    - type: mrr_at_1000
+      value: 43.669999999999995
+    - type: mrr_at_3
+      value: 40.849000000000004
+    - type: mrr_at_5
+      value: 41.964
+    - type: ndcg_at_1
+      value: 35.86
+    - type: ndcg_at_10
+      value: 41.676
+    - type: ndcg_at_100
+      value: 45.678000000000004
+    - type: ndcg_at_1000
+      value: 47.99
+    - type: ndcg_at_3
+      value: 37.862
+    - type: ndcg_at_5
+      value: 39.342
+    - type: precision_at_1
+      value: 35.86
+    - type: precision_at_10
+      value: 8.178
+    - type: precision_at_100
+      value: 1.308
+    - type: precision_at_1000
+      value: 0.182
+    - type: precision_at_3
+      value: 18.662
+    - type: precision_at_5
+      value: 13.172
+    - type: recall_at_1
+      value: 27.090999999999998
+    - type: recall_at_10
+      value: 50.407999999999994
+    - type: recall_at_100
+      value: 68.27499999999999
+    - type: recall_at_1000
+      value: 83.155
+    - type: recall_at_3
+      value: 38.259
+    - type: recall_at_5
+      value: 43.096000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.01
+    - type: map_at_10
+      value: 42.915
+    - type: map_at_100
+      value: 44.096000000000004
+    - type: map_at_1000
+      value: 44.175
+    - type: map_at_3
+      value: 40.283
+    - type: map_at_5
+      value: 41.744
+    - type: mrr_at_1
+      value: 37.68
+    - type: mrr_at_10
+      value: 46.929
+    - type: mrr_at_100
+      value: 47.75
+    - type: mrr_at_1000
+      value: 47.795
+    - type: mrr_at_3
+      value: 44.713
+    - type: mrr_at_5
+      value: 45.885
+    - type: ndcg_at_1
+      value: 37.68
+    - type: ndcg_at_10
+      value: 48.453
+    - type: ndcg_at_100
+      value: 53.494
+    - type: ndcg_at_1000
+      value: 55.169000000000004
+    - type: ndcg_at_3
+      value: 43.834
+    - type: ndcg_at_5
+      value: 45.926
+    - type: precision_at_1
+      value: 37.68
+    - type: precision_at_10
+      value: 7.906000000000001
+    - type: precision_at_100
+      value: 1.135
+    - type: precision_at_1000
+      value: 0.134
+    - type: precision_at_3
+      value: 20.041999999999998
+    - type: precision_at_5
+      value: 13.58
+    - type: recall_at_1
+      value: 32.01
+    - type: recall_at_10
+      value: 61.049
+    - type: recall_at_100
+      value: 83.182
+    - type: recall_at_1000
+      value: 95.279
+    - type: recall_at_3
+      value: 48.407
+    - type: recall_at_5
+      value: 53.748
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.511
+    - type: map_at_10
+      value: 20.305999999999997
+    - type: map_at_100
+      value: 21.307000000000002
+    - type: map_at_1000
+      value: 21.419
+    - type: map_at_3
+      value: 18.376
+    - type: map_at_5
+      value: 19.421
+    - type: mrr_at_1
+      value: 16.045
+    - type: mrr_at_10
+      value: 22.002
+    - type: mrr_at_100
+      value: 22.986
+    - type: mrr_at_1000
+      value: 23.071
+    - type: mrr_at_3
+      value: 20.264
+    - type: mrr_at_5
+      value: 21.173000000000002
+    - type: ndcg_at_1
+      value: 16.045
+    - type: ndcg_at_10
+      value: 23.953
+    - type: ndcg_at_100
+      value: 29.201
+    - type: ndcg_at_1000
+      value: 32.366
+    - type: ndcg_at_3
+      value: 20.136000000000003
+    - type: ndcg_at_5
+      value: 21.859
+    - type: precision_at_1
+      value: 16.045
+    - type: precision_at_10
+      value: 3.8760000000000003
+    - type: precision_at_100
+      value: 0.696
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 8.776
+    - type: precision_at_5
+      value: 6.282
+    - type: recall_at_1
+      value: 14.511
+    - type: recall_at_10
+      value: 33.707
+    - type: recall_at_100
+      value: 58.182
+    - type: recall_at_1000
+      value: 82.845
+    - type: recall_at_3
+      value: 23.206
+    - type: recall_at_5
+      value: 27.311999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.762
+    - type: map_at_10
+      value: 15.495000000000001
+    - type: map_at_100
+      value: 16.637
+    - type: map_at_1000
+      value: 16.786
+    - type: map_at_3
+      value: 13.62
+    - type: map_at_5
+      value: 14.655999999999999
+    - type: mrr_at_1
+      value: 12.934999999999999
+    - type: mrr_at_10
+      value: 18.985
+    - type: mrr_at_100
+      value: 20.079
+    - type: mrr_at_1000
+      value: 20.177999999999997
+    - type: mrr_at_3
+      value: 16.977999999999998
+    - type: mrr_at_5
+      value: 18.197
+    - type: ndcg_at_1
+      value: 12.934999999999999
+    - type: ndcg_at_10
+      value: 19.444
+    - type: ndcg_at_100
+      value: 25.108999999999998
+    - type: ndcg_at_1000
+      value: 28.804999999999996
+    - type: ndcg_at_3
+      value: 15.93
+    - type: ndcg_at_5
+      value: 17.57
+    - type: precision_at_1
+      value: 12.934999999999999
+    - type: precision_at_10
+      value: 3.856
+    - type: precision_at_100
+      value: 0.765
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 8.043
+    - type: precision_at_5
+      value: 6.095
+    - type: recall_at_1
+      value: 9.762
+    - type: recall_at_10
+      value: 28.216
+    - type: recall_at_100
+      value: 53.28000000000001
+    - type: recall_at_1000
+      value: 79.64099999999999
+    - type: recall_at_3
+      value: 18.335
+    - type: recall_at_5
+      value: 22.435
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.770999999999997
+    - type: map_at_10
+      value: 30.837999999999997
+    - type: map_at_100
+      value: 32.327
+    - type: map_at_1000
+      value: 32.464999999999996
+    - type: map_at_3
+      value: 27.891
+    - type: map_at_5
+      value: 29.433
+    - type: mrr_at_1
+      value: 27.622999999999998
+    - type: mrr_at_10
+      value: 36.293
+    - type: mrr_at_100
+      value: 37.221
+    - type: mrr_at_1000
+      value: 37.288
+    - type: mrr_at_3
+      value: 33.574
+    - type: mrr_at_5
+      value: 35.085
+    - type: ndcg_at_1
+      value: 27.622999999999998
+    - type: ndcg_at_10
+      value: 36.784
+    - type: ndcg_at_100
+      value: 43.033
+    - type: ndcg_at_1000
+      value: 45.616
+    - type: ndcg_at_3
+      value: 31.694
+    - type: ndcg_at_5
+      value: 33.909
+    - type: precision_at_1
+      value: 27.622999999999998
+    - type: precision_at_10
+      value: 7.141
+    - type: precision_at_100
+      value: 1.24
+    - type: precision_at_1000
+      value: 0.165
+    - type: precision_at_3
+      value: 15.623999999999999
+    - type: precision_at_5
+      value: 11.338
+    - type: recall_at_1
+      value: 21.770999999999997
+    - type: recall_at_10
+      value: 49.318
+    - type: recall_at_100
+      value: 75.779
+    - type: recall_at_1000
+      value: 92.729
+    - type: recall_at_3
+      value: 34.685
+    - type: recall_at_5
+      value: 40.546
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.156
+    - type: map_at_10
+      value: 27.732
+    - type: map_at_100
+      value: 29.002
+    - type: map_at_1000
+      value: 29.149
+    - type: map_at_3
+      value: 25.044
+    - type: map_at_5
+      value: 26.586
+    - type: mrr_at_1
+      value: 25.457
+    - type: mrr_at_10
+      value: 32.799
+    - type: mrr_at_100
+      value: 33.756
+    - type: mrr_at_1000
+      value: 33.833
+    - type: mrr_at_3
+      value: 30.497999999999998
+    - type: mrr_at_5
+      value: 31.857000000000003
+    - type: ndcg_at_1
+      value: 25.457
+    - type: ndcg_at_10
+      value: 32.59
+    - type: ndcg_at_100
+      value: 38.336
+    - type: ndcg_at_1000
+      value: 41.475
+    - type: ndcg_at_3
+      value: 28.166000000000004
+    - type: ndcg_at_5
+      value: 30.281000000000002
+    - type: precision_at_1
+      value: 25.457
+    - type: precision_at_10
+      value: 6.062
+    - type: precision_at_100
+      value: 1.083
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 13.661000000000001
+    - type: precision_at_5
+      value: 9.886000000000001
+    - type: recall_at_1
+      value: 20.156
+    - type: recall_at_10
+      value: 42.191
+    - type: recall_at_100
+      value: 66.953
+    - type: recall_at_1000
+      value: 88.91
+    - type: recall_at_3
+      value: 29.86
+    - type: recall_at_5
+      value: 35.553000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.901250000000005
+    - type: map_at_10
+      value: 26.13458333333333
+    - type: map_at_100
+      value: 27.282833333333333
+    - type: map_at_1000
+      value: 27.416749999999997
+    - type: map_at_3
+      value: 23.753500000000003
+    - type: map_at_5
+      value: 25.076833333333337
+    - type: mrr_at_1
+      value: 23.560500000000005
+    - type: mrr_at_10
+      value: 30.31466666666666
+    - type: mrr_at_100
+      value: 31.217249999999996
+    - type: mrr_at_1000
+      value: 31.29225
+    - type: mrr_at_3
+      value: 28.16208333333333
+    - type: mrr_at_5
+      value: 29.39025
+    - type: ndcg_at_1
+      value: 23.560500000000005
+    - type: ndcg_at_10
+      value: 30.780500000000004
+    - type: ndcg_at_100
+      value: 36.003083333333336
+    - type: ndcg_at_1000
+      value: 38.918166666666664
+    - type: ndcg_at_3
+      value: 26.735249999999994
+    - type: ndcg_at_5
+      value: 28.60558333333333
+    - type: precision_at_1
+      value: 23.560500000000005
+    - type: precision_at_10
+      value: 5.700583333333334
+    - type: precision_at_100
+      value: 1.0015
+    - type: precision_at_1000
+      value: 0.14475
+    - type: precision_at_3
+      value: 12.736749999999999
+    - type: precision_at_5
+      value: 9.230666666666666
+    - type: recall_at_1
+      value: 18.901250000000005
+    - type: recall_at_10
+      value: 40.4075
+    - type: recall_at_100
+      value: 63.96683333333333
+    - type: recall_at_1000
+      value: 84.86883333333333
+    - type: recall_at_3
+      value: 28.79183333333334
+    - type: recall_at_5
+      value: 33.7335
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.977
+    - type: map_at_10
+      value: 21.612000000000002
+    - type: map_at_100
+      value: 22.519
+    - type: map_at_1000
+      value: 22.633
+    - type: map_at_3
+      value: 19.766000000000002
+    - type: map_at_5
+      value: 20.855999999999998
+    - type: mrr_at_1
+      value: 19.017999999999997
+    - type: mrr_at_10
+      value: 24.310000000000002
+    - type: mrr_at_100
+      value: 25.206
+    - type: mrr_at_1000
+      value: 25.295
+    - type: mrr_at_3
+      value: 22.52
+    - type: mrr_at_5
+      value: 23.586
+    - type: ndcg_at_1
+      value: 19.017999999999997
+    - type: ndcg_at_10
+      value: 25.024
+    - type: ndcg_at_100
+      value: 29.942999999999998
+    - type: ndcg_at_1000
+      value: 33.059
+    - type: ndcg_at_3
+      value: 21.654
+    - type: ndcg_at_5
+      value: 23.347
+    - type: precision_at_1
+      value: 19.017999999999997
+    - type: precision_at_10
+      value: 4.1259999999999994
+    - type: precision_at_100
+      value: 0.719
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 9.714
+    - type: precision_at_5
+      value: 7.025
+    - type: recall_at_1
+      value: 15.977
+    - type: recall_at_10
+      value: 33.012
+    - type: recall_at_100
+      value: 56.201
+    - type: recall_at_1000
+      value: 79.837
+    - type: recall_at_3
+      value: 23.551
+    - type: recall_at_5
+      value: 27.733
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.26
+    - type: map_at_10
+      value: 14.248
+    - type: map_at_100
+      value: 15.095
+    - type: map_at_1000
+      value: 15.22
+    - type: map_at_3
+      value: 12.7
+    - type: map_at_5
+      value: 13.492999999999999
+    - type: mrr_at_1
+      value: 13.73
+    - type: mrr_at_10
+      value: 17.964
+    - type: mrr_at_100
+      value: 18.748
+    - type: mrr_at_1000
+      value: 18.842
+    - type: mrr_at_3
+      value: 16.34
+    - type: mrr_at_5
+      value: 17.205000000000002
+    - type: ndcg_at_1
+      value: 13.73
+    - type: ndcg_at_10
+      value: 17.429
+    - type: ndcg_at_100
+      value: 21.856
+    - type: ndcg_at_1000
+      value: 25.251
+    - type: ndcg_at_3
+      value: 14.667
+    - type: ndcg_at_5
+      value: 15.790000000000001
+    - type: precision_at_1
+      value: 13.73
+    - type: precision_at_10
+      value: 3.4099999999999997
+    - type: precision_at_100
+      value: 0.6839999999999999
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 7.202999999999999
+    - type: precision_at_5
+      value: 5.299
+    - type: recall_at_1
+      value: 10.26
+    - type: recall_at_10
+      value: 23.54
+    - type: recall_at_100
+      value: 44.085
+    - type: recall_at_1000
+      value: 69.233
+    - type: recall_at_3
+      value: 15.387999999999998
+    - type: recall_at_5
+      value: 18.467
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.695
+    - type: map_at_10
+      value: 25.752000000000002
+    - type: map_at_100
+      value: 26.810000000000002
+    - type: map_at_1000
+      value: 26.931
+    - type: map_at_3
+      value: 23.205000000000002
+    - type: map_at_5
+      value: 24.792
+    - type: mrr_at_1
+      value: 23.134
+    - type: mrr_at_10
+      value: 30.176
+    - type: mrr_at_100
+      value: 31.087999999999997
+    - type: mrr_at_1000
+      value: 31.162
+    - type: mrr_at_3
+      value: 27.766999999999996
+    - type: mrr_at_5
+      value: 29.321
+    - type: ndcg_at_1
+      value: 23.134
+    - type: ndcg_at_10
+      value: 30.427
+    - type: ndcg_at_100
+      value: 35.839999999999996
+    - type: ndcg_at_1000
+      value: 38.675
+    - type: ndcg_at_3
+      value: 25.959
+    - type: ndcg_at_5
+      value: 28.364
+    - type: precision_at_1
+      value: 23.134
+    - type: precision_at_10
+      value: 5.466
+    - type: precision_at_100
+      value: 0.9259999999999999
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_3
+      value: 12.127
+    - type: precision_at_5
+      value: 8.993
+    - type: recall_at_1
+      value: 18.695
+    - type: recall_at_10
+      value: 40.345
+    - type: recall_at_100
+      value: 65.009
+    - type: recall_at_1000
+      value: 85.368
+    - type: recall_at_3
+      value: 28.016999999999996
+    - type: recall_at_5
+      value: 34.211999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.955000000000002
+    - type: map_at_10
+      value: 26.924999999999997
+    - type: map_at_100
+      value: 28.260999999999996
+    - type: map_at_1000
+      value: 28.499999999999996
+    - type: map_at_3
+      value: 24.282
+    - type: map_at_5
+      value: 25.89
+    - type: mrr_at_1
+      value: 25.889
+    - type: mrr_at_10
+      value: 31.596999999999998
+    - type: mrr_at_100
+      value: 32.631
+    - type: mrr_at_1000
+      value: 32.702999999999996
+    - type: mrr_at_3
+      value: 29.182999999999996
+    - type: mrr_at_5
+      value: 30.705
+    - type: ndcg_at_1
+      value: 25.889
+    - type: ndcg_at_10
+      value: 32.094
+    - type: ndcg_at_100
+      value: 37.39
+    - type: ndcg_at_1000
+      value: 40.923
+    - type: ndcg_at_3
+      value: 27.815
+    - type: ndcg_at_5
+      value: 30.162
+    - type: precision_at_1
+      value: 25.889
+    - type: precision_at_10
+      value: 6.482
+    - type: precision_at_100
+      value: 1.374
+    - type: precision_at_1000
+      value: 0.231
+    - type: precision_at_3
+      value: 13.373
+    - type: precision_at_5
+      value: 10.356
+    - type: recall_at_1
+      value: 19.955000000000002
+    - type: recall_at_10
+      value: 41.157
+    - type: recall_at_100
+      value: 66.518
+    - type: recall_at_1000
+      value: 90.814
+    - type: recall_at_3
+      value: 28.319
+    - type: recall_at_5
+      value: 34.394999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.144
+    - type: map_at_10
+      value: 17.137
+    - type: map_at_100
+      value: 18.046
+    - type: map_at_1000
+      value: 18.15
+    - type: map_at_3
+      value: 15.268
+    - type: map_at_5
+      value: 16.309
+    - type: mrr_at_1
+      value: 13.309000000000001
+    - type: mrr_at_10
+      value: 18.523999999999997
+    - type: mrr_at_100
+      value: 19.455
+    - type: mrr_at_1000
+      value: 19.543
+    - type: mrr_at_3
+      value: 16.512999999999998
+    - type: mrr_at_5
+      value: 17.622
+    - type: ndcg_at_1
+      value: 13.309000000000001
+    - type: ndcg_at_10
+      value: 20.565
+    - type: ndcg_at_100
+      value: 25.657000000000004
+    - type: ndcg_at_1000
+      value: 28.646
+    - type: ndcg_at_3
+      value: 16.658
+    - type: ndcg_at_5
+      value: 18.518
+    - type: precision_at_1
+      value: 13.309000000000001
+    - type: precision_at_10
+      value: 3.42
+    - type: precision_at_100
+      value: 0.645
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_3
+      value: 7.2090000000000005
+    - type: precision_at_5
+      value: 5.323
+    - type: recall_at_1
+      value: 12.144
+    - type: recall_at_10
+      value: 30.0
+    - type: recall_at_100
+      value: 54.296
+    - type: recall_at_1000
+      value: 77.247
+    - type: recall_at_3
+      value: 19.451999999999998
+    - type: recall_at_5
+      value: 23.949
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.531000000000001
+    - type: map_at_10
+      value: 13.875000000000002
+    - type: map_at_100
+      value: 15.714
+    - type: map_at_1000
+      value: 15.934999999999999
+    - type: map_at_3
+      value: 11.204
+    - type: map_at_5
+      value: 12.373000000000001
+    - type: mrr_at_1
+      value: 16.547
+    - type: mrr_at_10
+      value: 26.889000000000003
+    - type: mrr_at_100
+      value: 28.194999999999997
+    - type: mrr_at_1000
+      value: 28.242
+    - type: mrr_at_3
+      value: 23.279
+    - type: mrr_at_5
+      value: 25.289
+    - type: ndcg_at_1
+      value: 16.547
+    - type: ndcg_at_10
+      value: 20.666999999999998
+    - type: ndcg_at_100
+      value: 28.896
+    - type: ndcg_at_1000
+      value: 32.843
+    - type: ndcg_at_3
+      value: 15.598999999999998
+    - type: ndcg_at_5
+      value: 17.238
+    - type: precision_at_1
+      value: 16.547
+    - type: precision_at_10
+      value: 6.958
+    - type: precision_at_100
+      value: 1.5810000000000002
+    - type: precision_at_1000
+      value: 0.231
+    - type: precision_at_3
+      value: 11.726
+    - type: precision_at_5
+      value: 9.472
+    - type: recall_at_1
+      value: 7.531000000000001
+    - type: recall_at_10
+      value: 26.726
+    - type: recall_at_100
+      value: 55.940999999999995
+    - type: recall_at_1000
+      value: 78.119
+    - type: recall_at_3
+      value: 14.815000000000001
+    - type: recall_at_5
+      value: 18.955
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.741
+    - type: map_at_10
+      value: 11.743
+    - type: map_at_100
+      value: 16.723
+    - type: map_at_1000
+      value: 17.813000000000002
+    - type: map_at_3
+      value: 8.017000000000001
+    - type: map_at_5
+      value: 9.655
+    - type: mrr_at_1
+      value: 40.25
+    - type: mrr_at_10
+      value: 52.244
+    - type: mrr_at_100
+      value: 52.933
+    - type: mrr_at_1000
+      value: 52.957
+    - type: mrr_at_3
+      value: 49.791999999999994
+    - type: mrr_at_5
+      value: 51.629000000000005
+    - type: ndcg_at_1
+      value: 30.0
+    - type: ndcg_at_10
+      value: 25.813000000000002
+    - type: ndcg_at_100
+      value: 31.075999999999997
+    - type: ndcg_at_1000
+      value: 38.242
+    - type: ndcg_at_3
+      value: 27.394000000000002
+    - type: ndcg_at_5
+      value: 26.395999999999997
+    - type: precision_at_1
+      value: 40.25
+    - type: precision_at_10
+      value: 22.0
+    - type: precision_at_100
+      value: 7.077999999999999
+    - type: precision_at_1000
+      value: 1.492
+    - type: precision_at_3
+      value: 32.833
+    - type: precision_at_5
+      value: 28.15
+    - type: recall_at_1
+      value: 4.741
+    - type: recall_at_10
+      value: 18.11
+    - type: recall_at_100
+      value: 40.617999999999995
+    - type: recall_at_1000
+      value: 63.92
+    - type: recall_at_3
+      value: 9.724
+    - type: recall_at_5
+      value: 13.333
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 46.575
+    - type: f1
+      value: 42.15253766150754
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.676000000000002
+    - type: map_at_10
+      value: 36.666
+    - type: map_at_100
+      value: 37.613
+    - type: map_at_1000
+      value: 37.663000000000004
+    - type: map_at_3
+      value: 33.269999999999996
+    - type: map_at_5
+      value: 35.21
+    - type: mrr_at_1
+      value: 26.733
+    - type: mrr_at_10
+      value: 39.007999999999996
+    - type: mrr_at_100
+      value: 39.904
+    - type: mrr_at_1000
+      value: 39.944
+    - type: mrr_at_3
+      value: 35.591
+    - type: mrr_at_5
+      value: 37.544
+    - type: ndcg_at_1
+      value: 26.733
+    - type: ndcg_at_10
+      value: 43.477
+    - type: ndcg_at_100
+      value: 47.906
+    - type: ndcg_at_1000
+      value: 49.144
+    - type: ndcg_at_3
+      value: 36.606
+    - type: ndcg_at_5
+      value: 40.009
+    - type: precision_at_1
+      value: 26.733
+    - type: precision_at_10
+      value: 6.842
+    - type: precision_at_100
+      value: 0.9209999999999999
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 15.906999999999998
+    - type: precision_at_5
+      value: 11.356
+    - type: recall_at_1
+      value: 24.676000000000002
+    - type: recall_at_10
+      value: 62.556999999999995
+    - type: recall_at_100
+      value: 82.43
+    - type: recall_at_1000
+      value: 91.738
+    - type: recall_at_3
+      value: 43.885000000000005
+    - type: recall_at_5
+      value: 52.054
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.101999999999999
+    - type: map_at_10
+      value: 18.490000000000002
+    - type: map_at_100
+      value: 20.404
+    - type: map_at_1000
+      value: 20.631
+    - type: map_at_3
+      value: 15.6
+    - type: map_at_5
+      value: 17.169
+    - type: mrr_at_1
+      value: 22.531000000000002
+    - type: mrr_at_10
+      value: 30.429000000000002
+    - type: mrr_at_100
+      value: 31.537
+    - type: mrr_at_1000
+      value: 31.606
+    - type: mrr_at_3
+      value: 27.546
+    - type: mrr_at_5
+      value: 29.159000000000002
+    - type: ndcg_at_1
+      value: 22.531000000000002
+    - type: ndcg_at_10
+      value: 24.624
+    - type: ndcg_at_100
+      value: 32.836
+    - type: ndcg_at_1000
+      value: 36.992000000000004
+    - type: ndcg_at_3
+      value: 20.806
+    - type: ndcg_at_5
+      value: 22.292
+    - type: precision_at_1
+      value: 22.531000000000002
+    - type: precision_at_10
+      value: 7.176
+    - type: precision_at_100
+      value: 1.546
+    - type: precision_at_1000
+      value: 0.22799999999999998
+    - type: precision_at_3
+      value: 14.198
+    - type: precision_at_5
+      value: 11.019
+    - type: recall_at_1
+      value: 11.101999999999999
+    - type: recall_at_10
+      value: 30.86
+    - type: recall_at_100
+      value: 62.564
+    - type: recall_at_1000
+      value: 87.627
+    - type: recall_at_3
+      value: 18.721
+    - type: recall_at_5
+      value: 23.830000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.474999999999998
+    - type: map_at_10
+      value: 39.342
+    - type: map_at_100
+      value: 40.458
+    - type: map_at_1000
+      value: 40.553
+    - type: map_at_3
+      value: 36.272999999999996
+    - type: map_at_5
+      value: 38.091
+    - type: mrr_at_1
+      value: 54.949000000000005
+    - type: mrr_at_10
+      value: 63.28
+    - type: mrr_at_100
+      value: 63.796
+    - type: mrr_at_1000
+      value: 63.821000000000005
+    - type: mrr_at_3
+      value: 61.41799999999999
+    - type: mrr_at_5
+      value: 62.522999999999996
+    - type: ndcg_at_1
+      value: 54.949000000000005
+    - type: ndcg_at_10
+      value: 48.461
+    - type: ndcg_at_100
+      value: 52.903999999999996
+    - type: ndcg_at_1000
+      value: 54.906
+    - type: ndcg_at_3
+      value: 43.428
+    - type: ndcg_at_5
+      value: 46.045
+    - type: precision_at_1
+      value: 54.949000000000005
+    - type: precision_at_10
+      value: 10.446
+    - type: precision_at_100
+      value: 1.397
+    - type: precision_at_1000
+      value: 0.166
+    - type: precision_at_3
+      value: 27.310000000000002
+    - type: precision_at_5
+      value: 18.458
+    - type: recall_at_1
+      value: 27.474999999999998
+    - type: recall_at_10
+      value: 52.227999999999994
+    - type: recall_at_100
+      value: 69.838
+    - type: recall_at_1000
+      value: 83.153
+    - type: recall_at_3
+      value: 40.966
+    - type: recall_at_5
+      value: 46.144
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 75.6784
+    - type: ap
+      value: 70.03950630113135
+    - type: f1
+      value: 75.38669491280882
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.182
+    - type: map_at_10
+      value: 14.597999999999999
+    - type: map_at_100
+      value: 15.795
+    - type: map_at_1000
+      value: 15.901000000000002
+    - type: map_at_3
+      value: 12.001000000000001
+    - type: map_at_5
+      value: 13.377
+    - type: mrr_at_1
+      value: 8.395
+    - type: mrr_at_10
+      value: 14.883
+    - type: mrr_at_100
+      value: 16.073999999999998
+    - type: mrr_at_1000
+      value: 16.174
+    - type: mrr_at_3
+      value: 12.267999999999999
+    - type: mrr_at_5
+      value: 13.658000000000001
+    - type: ndcg_at_1
+      value: 8.395
+    - type: ndcg_at_10
+      value: 18.81
+    - type: ndcg_at_100
+      value: 25.144
+    - type: ndcg_at_1000
+      value: 28.094
+    - type: ndcg_at_3
+      value: 13.366
+    - type: ndcg_at_5
+      value: 15.856
+    - type: precision_at_1
+      value: 8.395
+    - type: precision_at_10
+      value: 3.328
+    - type: precision_at_100
+      value: 0.657
+    - type: precision_at_1000
+      value: 0.091
+    - type: precision_at_3
+      value: 5.84
+    - type: precision_at_5
+      value: 4.765
+    - type: recall_at_1
+      value: 8.182
+    - type: recall_at_10
+      value: 32.151
+    - type: recall_at_100
+      value: 62.633
+    - type: recall_at_1000
+      value: 85.88
+    - type: recall_at_3
+      value: 17.069000000000003
+    - type: recall_at_5
+      value: 23.092
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 94.3296853625171
+    - type: f1
+      value: 94.02246426051437
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 79.54172366621067
+    - type: f1
+      value: 60.47715992221304
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 73.83994620040349
+    - type: f1
+      value: 70.84392062730345
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 79.17283120376597
+    - type: f1
+      value: 78.83856078561683
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 30.939561146943344
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 28.0435406238161
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.860539801824743
+    - type: mrr
+      value: 31.993223906232455
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.6759999999999997
+    - type: map_at_10
+      value: 8.365
+    - type: map_at_100
+      value: 10.949
+    - type: map_at_1000
+      value: 12.248000000000001
+    - type: map_at_3
+      value: 5.836
+    - type: map_at_5
+      value: 7.094
+    - type: mrr_at_1
+      value: 32.507999999999996
+    - type: mrr_at_10
+      value: 43.336999999999996
+    - type: mrr_at_100
+      value: 44.092
+    - type: mrr_at_1000
+      value: 44.125
+    - type: mrr_at_3
+      value: 40.402
+    - type: mrr_at_5
+      value: 42.214
+    - type: ndcg_at_1
+      value: 30.186
+    - type: ndcg_at_10
+      value: 26.806
+    - type: ndcg_at_100
+      value: 25.446999999999996
+    - type: ndcg_at_1000
+      value: 34.33
+    - type: ndcg_at_3
+      value: 30.159999999999997
+    - type: ndcg_at_5
+      value: 28.671999999999997
+    - type: precision_at_1
+      value: 31.579
+    - type: precision_at_10
+      value: 20.96
+    - type: precision_at_100
+      value: 6.885
+    - type: precision_at_1000
+      value: 1.9560000000000002
+    - type: precision_at_3
+      value: 29.825000000000003
+    - type: precision_at_5
+      value: 25.944
+    - type: recall_at_1
+      value: 2.6759999999999997
+    - type: recall_at_10
+      value: 13.715
+    - type: recall_at_100
+      value: 29.246
+    - type: recall_at_1000
+      value: 59.878
+    - type: recall_at_3
+      value: 7.6850000000000005
+    - type: recall_at_5
+      value: 10.559000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.999
+    - type: map_at_10
+      value: 26.229999999999997
+    - type: map_at_100
+      value: 27.77
+    - type: map_at_1000
+      value: 27.832
+    - type: map_at_3
+      value: 22.127
+    - type: map_at_5
+      value: 24.395
+    - type: mrr_at_1
+      value: 17.265
+    - type: mrr_at_10
+      value: 28.515
+    - type: mrr_at_100
+      value: 29.793999999999997
+    - type: mrr_at_1000
+      value: 29.837999999999997
+    - type: mrr_at_3
+      value: 24.609
+    - type: mrr_at_5
+      value: 26.790000000000003
+    - type: ndcg_at_1
+      value: 17.236
+    - type: ndcg_at_10
+      value: 33.207
+    - type: ndcg_at_100
+      value: 40.211000000000006
+    - type: ndcg_at_1000
+      value: 41.669
+    - type: ndcg_at_3
+      value: 25.013
+    - type: ndcg_at_5
+      value: 28.965999999999998
+    - type: precision_at_1
+      value: 17.236
+    - type: precision_at_10
+      value: 6.260000000000001
+    - type: precision_at_100
+      value: 1.015
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 12.032
+    - type: precision_at_5
+      value: 9.45
+    - type: recall_at_1
+      value: 14.999
+    - type: recall_at_10
+      value: 52.581
+    - type: recall_at_100
+      value: 83.918
+    - type: recall_at_1000
+      value: 94.735
+    - type: recall_at_3
+      value: 30.946
+    - type: recall_at_5
+      value: 40.136
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 68.085
+    - type: map_at_10
+      value: 81.952
+    - type: map_at_100
+      value: 82.636
+    - type: map_at_1000
+      value: 82.65599999999999
+    - type: map_at_3
+      value: 78.83200000000001
+    - type: map_at_5
+      value: 80.793
+    - type: mrr_at_1
+      value: 78.45
+    - type: mrr_at_10
+      value: 85.35199999999999
+    - type: mrr_at_100
+      value: 85.483
+    - type: mrr_at_1000
+      value: 85.485
+    - type: mrr_at_3
+      value: 84.195
+    - type: mrr_at_5
+      value: 84.985
+    - type: ndcg_at_1
+      value: 78.46
+    - type: ndcg_at_10
+      value: 86.151
+    - type: ndcg_at_100
+      value: 87.589
+    - type: ndcg_at_1000
+      value: 87.737
+    - type: ndcg_at_3
+      value: 82.839
+    - type: ndcg_at_5
+      value: 84.67
+    - type: precision_at_1
+      value: 78.46
+    - type: precision_at_10
+      value: 13.114999999999998
+    - type: precision_at_100
+      value: 1.5190000000000001
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 36.167
+    - type: precision_at_5
+      value: 23.921999999999997
+    - type: recall_at_1
+      value: 68.085
+    - type: recall_at_10
+      value: 94.28699999999999
+    - type: recall_at_100
+      value: 99.235
+    - type: recall_at_1000
+      value: 99.954
+    - type: recall_at_3
+      value: 84.941
+    - type: recall_at_5
+      value: 89.991
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 42.84102304870842
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 60.096590952185046
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.283
+    - type: map_at_10
+      value: 5.554
+    - type: map_at_100
+      value: 6.98
+    - type: map_at_1000
+      value: 7.324999999999999
+    - type: map_at_3
+      value: 3.9890000000000003
+    - type: map_at_5
+      value: 4.766
+    - type: mrr_at_1
+      value: 11.200000000000001
+    - type: mrr_at_10
+      value: 17.746000000000002
+    - type: mrr_at_100
+      value: 18.971
+    - type: mrr_at_1000
+      value: 19.1
+    - type: mrr_at_3
+      value: 15.15
+    - type: mrr_at_5
+      value: 16.619999999999997
+    - type: ndcg_at_1
+      value: 11.200000000000001
+    - type: ndcg_at_10
+      value: 10.001
+    - type: ndcg_at_100
+      value: 16.933
+    - type: ndcg_at_1000
+      value: 23.835
+    - type: ndcg_at_3
+      value: 9.005
+    - type: ndcg_at_5
+      value: 8.076
+    - type: precision_at_1
+      value: 11.200000000000001
+    - type: precision_at_10
+      value: 5.3
+    - type: precision_at_100
+      value: 1.5730000000000002
+    - type: precision_at_1000
+      value: 0.32299999999999995
+    - type: precision_at_3
+      value: 8.3
+    - type: precision_at_5
+      value: 7.12
+    - type: recall_at_1
+      value: 2.283
+    - type: recall_at_10
+      value: 10.775
+    - type: recall_at_100
+      value: 31.913000000000004
+    - type: recall_at_1000
+      value: 65.595
+    - type: recall_at_3
+      value: 5.0729999999999995
+    - type: recall_at_5
+      value: 7.228
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_spearman
+      value: 71.76588896280093
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_spearman
+      value: 65.3943089429597
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_spearman
+      value: 79.26435573752327
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_spearman
+      value: 72.98102120833857
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_spearman
+      value: 82.72040157931015
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_spearman
+      value: 81.020987615843
+  - 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: 86.69902762920725
+  - 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: 63.474026946359615
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_spearman
+      value: 78.32422438643496
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 77.61818188370545
+    - type: mrr
+      value: 93.57944887356652
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 48.417
+    - type: map_at_10
+      value: 59.217
+    - type: map_at_100
+      value: 59.866
+    - type: map_at_1000
+      value: 59.91
+    - type: map_at_3
+      value: 56.302
+    - type: map_at_5
+      value: 58.252
+    - type: mrr_at_1
+      value: 51.0
+    - type: mrr_at_10
+      value: 60.368
+    - type: mrr_at_100
+      value: 60.901
+    - type: mrr_at_1000
+      value: 60.936
+    - type: mrr_at_3
+      value: 57.778
+    - type: mrr_at_5
+      value: 59.577999999999996
+    - type: ndcg_at_1
+      value: 51.0
+    - type: ndcg_at_10
+      value: 64.479
+    - type: ndcg_at_100
+      value: 67.37100000000001
+    - type: ndcg_at_1000
+      value: 68.367
+    - type: ndcg_at_3
+      value: 59.117
+    - type: ndcg_at_5
+      value: 62.283
+    - type: precision_at_1
+      value: 51.0
+    - type: precision_at_10
+      value: 8.833
+    - type: precision_at_100
+      value: 1.043
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 23.778
+    - type: precision_at_5
+      value: 16.067
+    - type: recall_at_1
+      value: 48.417
+    - type: recall_at_10
+      value: 79.567
+    - type: recall_at_100
+      value: 92.422
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 65.011
+    - type: recall_at_5
+      value: 72.983
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.63861386138613
+    - type: cos_sim_ap
+      value: 87.57401607596607
+    - type: cos_sim_f1
+      value: 81.18006103763987
+    - type: cos_sim_precision
+      value: 82.6086956521739
+    - type: cos_sim_recall
+      value: 79.80000000000001
+    - type: dot_accuracy
+      value: 99.36435643564356
+    - type: dot_ap
+      value: 67.10054414762459
+    - type: dot_f1
+      value: 62.686567164179095
+    - type: dot_precision
+      value: 70.08652657601978
+    - type: dot_recall
+      value: 56.699999999999996
+    - type: euclidean_accuracy
+      value: 99.6108910891089
+    - type: euclidean_ap
+      value: 85.27455886915234
+    - type: euclidean_f1
+      value: 79.41330539549503
+    - type: euclidean_precision
+      value: 83.3883388338834
+    - type: euclidean_recall
+      value: 75.8
+    - type: manhattan_accuracy
+      value: 99.62574257425743
+    - type: manhattan_ap
+      value: 86.03781248244218
+    - type: manhattan_f1
+      value: 80.23012552301255
+    - type: manhattan_precision
+      value: 84.10087719298247
+    - type: manhattan_recall
+      value: 76.7
+    - type: max_accuracy
+      value: 99.63861386138613
+    - type: max_ap
+      value: 87.57401607596607
+    - type: max_f1
+      value: 81.18006103763987
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 65.11651958999349
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.60581294647579
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 47.773753263238696
+    - type: mrr
+      value: 48.39623917748917
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.564097570977395
+    - type: cos_sim_spearman
+      value: 31.380186846178056
+    - type: dot_pearson
+      value: 18.77679329172303
+    - type: dot_spearman
+      value: 20.468892673671043
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.191
+    - type: map_at_10
+      value: 1.307
+    - type: map_at_100
+      value: 6.458
+    - type: map_at_1000
+      value: 16.785
+    - type: map_at_3
+      value: 0.47600000000000003
+    - type: map_at_5
+      value: 0.751
+    - type: mrr_at_1
+      value: 72.0
+    - type: mrr_at_10
+      value: 81.175
+    - type: mrr_at_100
+      value: 81.229
+    - type: mrr_at_1000
+      value: 81.229
+    - type: mrr_at_3
+      value: 79.667
+    - type: mrr_at_5
+      value: 80.667
+    - type: ndcg_at_1
+      value: 68.0
+    - type: ndcg_at_10
+      value: 60.672000000000004
+    - type: ndcg_at_100
+      value: 43.114000000000004
+    - type: ndcg_at_1000
+      value: 40.459
+    - type: ndcg_at_3
+      value: 65.642
+    - type: ndcg_at_5
+      value: 64.033
+    - type: precision_at_1
+      value: 72.0
+    - type: precision_at_10
+      value: 63.0
+    - type: precision_at_100
+      value: 43.82
+    - type: precision_at_1000
+      value: 18.758
+    - type: precision_at_3
+      value: 68.0
+    - type: precision_at_5
+      value: 67.60000000000001
+    - type: recall_at_1
+      value: 0.191
+    - type: recall_at_10
+      value: 1.585
+    - type: recall_at_100
+      value: 10.113999999999999
+    - type: recall_at_1000
+      value: 38.83
+    - type: recall_at_3
+      value: 0.514
+    - type: recall_at_5
+      value: 0.853
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.857
+    - type: map_at_10
+      value: 4.154
+    - type: map_at_100
+      value: 7.1819999999999995
+    - type: map_at_1000
+      value: 8.501
+    - type: map_at_3
+      value: 2.3369999999999997
+    - type: map_at_5
+      value: 2.573
+    - type: mrr_at_1
+      value: 8.163
+    - type: mrr_at_10
+      value: 20.305
+    - type: mrr_at_100
+      value: 22.334
+    - type: mrr_at_1000
+      value: 22.397
+    - type: mrr_at_3
+      value: 17.347
+    - type: mrr_at_5
+      value: 18.673000000000002
+    - type: ndcg_at_1
+      value: 6.122
+    - type: ndcg_at_10
+      value: 10.18
+    - type: ndcg_at_100
+      value: 20.735999999999997
+    - type: ndcg_at_1000
+      value: 32.897999999999996
+    - type: ndcg_at_3
+      value: 10.299999999999999
+    - type: ndcg_at_5
+      value: 8.981
+    - type: precision_at_1
+      value: 8.163
+    - type: precision_at_10
+      value: 10.204
+    - type: precision_at_100
+      value: 5.061
+    - type: precision_at_1000
+      value: 1.276
+    - type: precision_at_3
+      value: 14.285999999999998
+    - type: precision_at_5
+      value: 10.612
+    - type: recall_at_1
+      value: 0.857
+    - type: recall_at_10
+      value: 8.57
+    - type: recall_at_100
+      value: 33.215
+    - type: recall_at_1000
+      value: 70.488
+    - type: recall_at_3
+      value: 3.527
+    - type: recall_at_5
+      value: 4.194
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.8126
+    - type: ap
+      value: 15.399874831474428
+    - type: f1
+      value: 55.733319106134225
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 57.167515563101304
+    - type: f1
+      value: 57.493718365420854
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 30.761111606661984
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.90057817249806
+    - type: cos_sim_ap
+      value: 65.13897428351787
+    - type: cos_sim_f1
+      value: 61.042677616025884
+    - type: cos_sim_precision
+      value: 57.75841770661644
+    - type: cos_sim_recall
+      value: 64.72295514511873
+    - type: dot_accuracy
+      value: 80.60439887941826
+    - type: dot_ap
+      value: 55.55250665214204
+    - type: dot_f1
+      value: 54.91251682368774
+    - type: dot_precision
+      value: 47.75653531018338
+    - type: dot_recall
+      value: 64.5910290237467
+    - type: euclidean_accuracy
+      value: 83.30452405078381
+    - type: euclidean_ap
+      value: 62.67995656680978
+    - type: euclidean_f1
+      value: 59.421025901472824
+    - type: euclidean_precision
+      value: 57.268722466960355
+    - type: euclidean_recall
+      value: 61.74142480211082
+    - type: manhattan_accuracy
+      value: 83.39393216904095
+    - type: manhattan_ap
+      value: 63.04154722022527
+    - type: manhattan_f1
+      value: 59.49575573292791
+    - type: manhattan_precision
+      value: 57.226419692907626
+    - type: manhattan_recall
+      value: 61.952506596306065
+    - type: max_accuracy
+      value: 83.90057817249806
+    - type: max_ap
+      value: 65.13897428351787
+    - type: max_f1
+      value: 61.042677616025884
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 86.91349400395855
+    - type: cos_sim_ap
+      value: 80.94267715916922
+    - type: cos_sim_f1
+      value: 73.80416854101064
+    - type: cos_sim_precision
+      value: 71.91700759789596
+    - type: cos_sim_recall
+      value: 75.79303972898059
+    - type: dot_accuracy
+      value: 85.36694221290799
+    - type: dot_ap
+      value: 76.58601958627575
+    - type: dot_f1
+      value: 71.08344449384913
+    - type: dot_precision
+      value: 68.51428571428572
+    - type: dot_recall
+      value: 73.85278718817369
+    - type: euclidean_accuracy
+      value: 86.23627119959639
+    - type: euclidean_ap
+      value: 79.39212423810176
+    - type: euclidean_f1
+      value: 72.54634884600833
+    - type: euclidean_precision
+      value: 71.32123195952983
+    - type: euclidean_recall
+      value: 73.81429011395134
+    - type: manhattan_accuracy
+      value: 86.72720922109676
+    - type: manhattan_ap
+      value: 80.52847011448226
+    - type: manhattan_f1
+      value: 73.27869471616877
+    - type: manhattan_precision
+      value: 71.91785899621914
+    - type: manhattan_recall
+      value: 74.69202340622113
+    - type: max_accuracy
+      value: 86.91349400395855
+    - type: max_ap
+      value: 80.94267715916922
+    - type: max_f1
+      value: 73.80416854101064
 ---
 
 # LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders