Update README.md

README.md

@@ -23,6 +23,2501 @@ tags:
 - fever
 - hotpot_qa
 - mteb
+model-index:
+- name: LLM2Vec-Mistral-7B-supervised
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.58208955223881
+    - type: ap
+      value: 41.45474097979136
+    - type: f1
+      value: 71.76059891468786
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 91.12039999999999
+    - type: ap
+      value: 88.01002974730474
+    - type: f1
+      value: 91.1049266954883
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 49.966
+    - type: f1
+      value: 48.908221884634386
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.788000000000004
+    - type: map_at_10
+      value: 48.665000000000006
+    - type: map_at_100
+      value: 49.501
+    - type: map_at_1000
+      value: 49.504
+    - type: map_at_3
+      value: 43.883
+    - type: map_at_5
+      value: 46.501
+    - type: mrr_at_1
+      value: 33.357
+    - type: mrr_at_10
+      value: 48.882
+    - type: mrr_at_100
+      value: 49.718
+    - type: mrr_at_1000
+      value: 49.721
+    - type: mrr_at_3
+      value: 44.025999999999996
+    - type: mrr_at_5
+      value: 46.732
+    - type: ndcg_at_1
+      value: 32.788000000000004
+    - type: ndcg_at_10
+      value: 57.483
+    - type: ndcg_at_100
+      value: 60.745000000000005
+    - type: ndcg_at_1000
+      value: 60.797000000000004
+    - type: ndcg_at_3
+      value: 47.534
+    - type: ndcg_at_5
+      value: 52.266
+    - type: precision_at_1
+      value: 32.788000000000004
+    - type: precision_at_10
+      value: 8.57
+    - type: precision_at_100
+      value: 0.993
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 19.369
+    - type: precision_at_5
+      value: 13.926
+    - type: recall_at_1
+      value: 32.788000000000004
+    - type: recall_at_10
+      value: 85.70400000000001
+    - type: recall_at_100
+      value: 99.289
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 58.108000000000004
+    - type: recall_at_5
+      value: 69.63000000000001
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 42.805075760047906
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 44.235789514284214
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 63.98320383943591
+    - type: mrr
+      value: 76.53189992525174
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_spearman
+      value: 85.24411101959603
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.31493506493506
+    - type: f1
+      value: 88.28524975751309
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.27007175430729
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 35.52517776034658
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 38.686
+    - type: map_at_10
+      value: 51.939
+    - type: map_at_100
+      value: 53.751000000000005
+    - type: map_at_1000
+      value: 53.846000000000004
+    - type: map_at_3
+      value: 48.296
+    - type: map_at_5
+      value: 50.312999999999995
+    - type: mrr_at_1
+      value: 49.641999999999996
+    - type: mrr_at_10
+      value: 59.157000000000004
+    - type: mrr_at_100
+      value: 59.85
+    - type: mrr_at_1000
+      value: 59.876
+    - type: mrr_at_3
+      value: 57.058
+    - type: mrr_at_5
+      value: 58.231
+    - type: ndcg_at_1
+      value: 49.641999999999996
+    - type: ndcg_at_10
+      value: 58.714
+    - type: ndcg_at_100
+      value: 63.776999999999994
+    - type: ndcg_at_1000
+      value: 64.95
+    - type: ndcg_at_3
+      value: 54.799
+    - type: ndcg_at_5
+      value: 56.372
+    - type: precision_at_1
+      value: 49.641999999999996
+    - type: precision_at_10
+      value: 11.373
+    - type: precision_at_100
+      value: 1.712
+    - type: precision_at_1000
+      value: 0.209
+    - type: precision_at_3
+      value: 27.229
+    - type: precision_at_5
+      value: 19.056
+    - type: recall_at_1
+      value: 38.686
+    - type: recall_at_10
+      value: 69.976
+    - type: recall_at_100
+      value: 90.512
+    - type: recall_at_1000
+      value: 97.64
+    - type: recall_at_3
+      value: 56.625
+    - type: recall_at_5
+      value: 62.348000000000006
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 36.356
+    - type: map_at_10
+      value: 48.004000000000005
+    - type: map_at_100
+      value: 49.342999999999996
+    - type: map_at_1000
+      value: 49.461
+    - type: map_at_3
+      value: 44.692
+    - type: map_at_5
+      value: 46.576
+    - type: mrr_at_1
+      value: 46.561
+    - type: mrr_at_10
+      value: 54.547000000000004
+    - type: mrr_at_100
+      value: 55.159000000000006
+    - type: mrr_at_1000
+      value: 55.193000000000005
+    - type: mrr_at_3
+      value: 52.516
+    - type: mrr_at_5
+      value: 53.701
+    - type: ndcg_at_1
+      value: 46.561
+    - type: ndcg_at_10
+      value: 53.835
+    - type: ndcg_at_100
+      value: 57.92699999999999
+    - type: ndcg_at_1000
+      value: 59.671
+    - type: ndcg_at_3
+      value: 49.997
+    - type: ndcg_at_5
+      value: 51.714000000000006
+    - type: precision_at_1
+      value: 46.561
+    - type: precision_at_10
+      value: 10.344000000000001
+    - type: precision_at_100
+      value: 1.5779999999999998
+    - type: precision_at_1000
+      value: 0.202
+    - type: precision_at_3
+      value: 24.437
+    - type: precision_at_5
+      value: 17.197000000000003
+    - type: recall_at_1
+      value: 36.356
+    - type: recall_at_10
+      value: 63.019000000000005
+    - type: recall_at_100
+      value: 80.55099999999999
+    - type: recall_at_1000
+      value: 91.38300000000001
+    - type: recall_at_3
+      value: 50.431000000000004
+    - type: recall_at_5
+      value: 56.00000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 46.736
+    - type: map_at_10
+      value: 60.775999999999996
+    - type: map_at_100
+      value: 61.755
+    - type: map_at_1000
+      value: 61.783
+    - type: map_at_3
+      value: 57.293000000000006
+    - type: map_at_5
+      value: 59.382000000000005
+    - type: mrr_at_1
+      value: 54.232
+    - type: mrr_at_10
+      value: 64.424
+    - type: mrr_at_100
+      value: 64.996
+    - type: mrr_at_1000
+      value: 65.009
+    - type: mrr_at_3
+      value: 62.226000000000006
+    - type: mrr_at_5
+      value: 63.592000000000006
+    - type: ndcg_at_1
+      value: 54.232
+    - type: ndcg_at_10
+      value: 66.654
+    - type: ndcg_at_100
+      value: 70.152
+    - type: ndcg_at_1000
+      value: 70.648
+    - type: ndcg_at_3
+      value: 61.405
+    - type: ndcg_at_5
+      value: 64.137
+    - type: precision_at_1
+      value: 54.232
+    - type: precision_at_10
+      value: 10.607999999999999
+    - type: precision_at_100
+      value: 1.321
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 27.544
+    - type: precision_at_5
+      value: 18.645999999999997
+    - type: recall_at_1
+      value: 46.736
+    - type: recall_at_10
+      value: 80.10199999999999
+    - type: recall_at_100
+      value: 94.976
+    - type: recall_at_1000
+      value: 98.402
+    - type: recall_at_3
+      value: 66.094
+    - type: recall_at_5
+      value: 73.028
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.238
+    - type: map_at_10
+      value: 39.798
+    - type: map_at_100
+      value: 40.892
+    - type: map_at_1000
+      value: 40.971000000000004
+    - type: map_at_3
+      value: 36.788
+    - type: map_at_5
+      value: 38.511
+    - type: mrr_at_1
+      value: 32.994
+    - type: mrr_at_10
+      value: 42.028
+    - type: mrr_at_100
+      value: 42.959
+    - type: mrr_at_1000
+      value: 43.010999999999996
+    - type: mrr_at_3
+      value: 39.322
+    - type: mrr_at_5
+      value: 40.977000000000004
+    - type: ndcg_at_1
+      value: 32.994
+    - type: ndcg_at_10
+      value: 45.062000000000005
+    - type: ndcg_at_100
+      value: 50.166999999999994
+    - type: ndcg_at_1000
+      value: 51.961
+    - type: ndcg_at_3
+      value: 39.378
+    - type: ndcg_at_5
+      value: 42.281
+    - type: precision_at_1
+      value: 32.994
+    - type: precision_at_10
+      value: 6.836
+    - type: precision_at_100
+      value: 0.9860000000000001
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 16.384
+    - type: precision_at_5
+      value: 11.548
+    - type: recall_at_1
+      value: 30.238
+    - type: recall_at_10
+      value: 59.080999999999996
+    - type: recall_at_100
+      value: 82.033
+    - type: recall_at_1000
+      value: 95.281
+    - type: recall_at_3
+      value: 43.902
+    - type: recall_at_5
+      value: 50.952
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.512999999999998
+    - type: map_at_10
+      value: 31.339
+    - type: map_at_100
+      value: 32.651
+    - type: map_at_1000
+      value: 32.762
+    - type: map_at_3
+      value: 27.590999999999998
+    - type: map_at_5
+      value: 29.946
+    - type: mrr_at_1
+      value: 26.866
+    - type: mrr_at_10
+      value: 36.525
+    - type: mrr_at_100
+      value: 37.357
+    - type: mrr_at_1000
+      value: 37.419999999999995
+    - type: mrr_at_3
+      value: 33.085
+    - type: mrr_at_5
+      value: 35.379
+    - type: ndcg_at_1
+      value: 26.866
+    - type: ndcg_at_10
+      value: 37.621
+    - type: ndcg_at_100
+      value: 43.031000000000006
+    - type: ndcg_at_1000
+      value: 45.573
+    - type: ndcg_at_3
+      value: 31.046000000000003
+    - type: ndcg_at_5
+      value: 34.709
+    - type: precision_at_1
+      value: 26.866
+    - type: precision_at_10
+      value: 7.052
+    - type: precision_at_100
+      value: 1.117
+    - type: precision_at_1000
+      value: 0.145
+    - type: precision_at_3
+      value: 14.884
+    - type: precision_at_5
+      value: 11.517
+    - type: recall_at_1
+      value: 21.512999999999998
+    - type: recall_at_10
+      value: 51.751999999999995
+    - type: recall_at_100
+      value: 74.34100000000001
+    - type: recall_at_1000
+      value: 92.426
+    - type: recall_at_3
+      value: 34.008
+    - type: recall_at_5
+      value: 43.075
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 35.327
+    - type: map_at_10
+      value: 47.783
+    - type: map_at_100
+      value: 49.153999999999996
+    - type: map_at_1000
+      value: 49.260999999999996
+    - type: map_at_3
+      value: 44.145
+    - type: map_at_5
+      value: 46.207
+    - type: mrr_at_1
+      value: 44.37
+    - type: mrr_at_10
+      value: 53.864999999999995
+    - type: mrr_at_100
+      value: 54.625
+    - type: mrr_at_1000
+      value: 54.662
+    - type: mrr_at_3
+      value: 51.604000000000006
+    - type: mrr_at_5
+      value: 52.894
+    - type: ndcg_at_1
+      value: 44.37
+    - type: ndcg_at_10
+      value: 54.054
+    - type: ndcg_at_100
+      value: 59.168
+    - type: ndcg_at_1000
+      value: 60.769
+    - type: ndcg_at_3
+      value: 49.091
+    - type: ndcg_at_5
+      value: 51.444
+    - type: precision_at_1
+      value: 44.37
+    - type: precision_at_10
+      value: 9.827
+    - type: precision_at_100
+      value: 1.456
+    - type: precision_at_1000
+      value: 0.17600000000000002
+    - type: precision_at_3
+      value: 23.580000000000002
+    - type: precision_at_5
+      value: 16.554
+    - type: recall_at_1
+      value: 35.327
+    - type: recall_at_10
+      value: 66.43900000000001
+    - type: recall_at_100
+      value: 87.41600000000001
+    - type: recall_at_1000
+      value: 97.37400000000001
+    - type: recall_at_3
+      value: 51.64
+    - type: recall_at_5
+      value: 58.242000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.397999999999996
+    - type: map_at_10
+      value: 44.932
+    - type: map_at_100
+      value: 46.336
+    - type: map_at_1000
+      value: 46.421
+    - type: map_at_3
+      value: 41.128
+    - type: map_at_5
+      value: 43.364999999999995
+    - type: mrr_at_1
+      value: 41.324
+    - type: mrr_at_10
+      value: 51.080000000000005
+    - type: mrr_at_100
+      value: 51.878
+    - type: mrr_at_1000
+      value: 51.910000000000004
+    - type: mrr_at_3
+      value: 48.382999999999996
+    - type: mrr_at_5
+      value: 50.004000000000005
+    - type: ndcg_at_1
+      value: 41.324
+    - type: ndcg_at_10
+      value: 51.466
+    - type: ndcg_at_100
+      value: 56.874
+    - type: ndcg_at_1000
+      value: 58.321999999999996
+    - type: ndcg_at_3
+      value: 45.928999999999995
+    - type: ndcg_at_5
+      value: 48.532
+    - type: precision_at_1
+      value: 41.324
+    - type: precision_at_10
+      value: 9.565999999999999
+    - type: precision_at_100
+      value: 1.428
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 22.184
+    - type: precision_at_5
+      value: 15.867999999999999
+    - type: recall_at_1
+      value: 32.397999999999996
+    - type: recall_at_10
+      value: 64.512
+    - type: recall_at_100
+      value: 87.425
+    - type: recall_at_1000
+      value: 96.937
+    - type: recall_at_3
+      value: 48.513
+    - type: recall_at_5
+      value: 55.721
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.001916666666666
+    - type: map_at_10
+      value: 42.91216666666667
+    - type: map_at_100
+      value: 44.21125000000001
+    - type: map_at_1000
+      value: 44.314166666666665
+    - type: map_at_3
+      value: 39.579
+    - type: map_at_5
+      value: 41.497166666666665
+    - type: mrr_at_1
+      value: 38.669583333333335
+    - type: mrr_at_10
+      value: 47.708
+    - type: mrr_at_100
+      value: 48.4875
+    - type: mrr_at_1000
+      value: 48.530833333333334
+    - type: mrr_at_3
+      value: 45.196333333333335
+    - type: mrr_at_5
+      value: 46.702999999999996
+    - type: ndcg_at_1
+      value: 38.669583333333335
+    - type: ndcg_at_10
+      value: 48.842
+    - type: ndcg_at_100
+      value: 53.79400000000001
+    - type: ndcg_at_1000
+      value: 55.566416666666676
+    - type: ndcg_at_3
+      value: 43.70975
+    - type: ndcg_at_5
+      value: 46.204499999999996
+    - type: precision_at_1
+      value: 38.669583333333335
+    - type: precision_at_10
+      value: 8.652999999999999
+    - type: precision_at_100
+      value: 1.3168333333333333
+    - type: precision_at_1000
+      value: 0.164
+    - type: precision_at_3
+      value: 20.343249999999998
+    - type: precision_at_5
+      value: 14.426
+    - type: recall_at_1
+      value: 32.001916666666666
+    - type: recall_at_10
+      value: 61.31158333333334
+    - type: recall_at_100
+      value: 82.80691666666667
+    - type: recall_at_1000
+      value: 94.977
+    - type: recall_at_3
+      value: 46.63558333333333
+    - type: recall_at_5
+      value: 53.32383333333334
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.311999999999998
+    - type: map_at_10
+      value: 37.735
+    - type: map_at_100
+      value: 38.702
+    - type: map_at_1000
+      value: 38.803
+    - type: map_at_3
+      value: 35.17
+    - type: map_at_5
+      value: 36.6
+    - type: mrr_at_1
+      value: 33.282000000000004
+    - type: mrr_at_10
+      value: 41.059
+    - type: mrr_at_100
+      value: 41.881
+    - type: mrr_at_1000
+      value: 41.943000000000005
+    - type: mrr_at_3
+      value: 38.829
+    - type: mrr_at_5
+      value: 40.11
+    - type: ndcg_at_1
+      value: 33.282000000000004
+    - type: ndcg_at_10
+      value: 42.625
+    - type: ndcg_at_100
+      value: 47.313
+    - type: ndcg_at_1000
+      value: 49.683
+    - type: ndcg_at_3
+      value: 38.043
+    - type: ndcg_at_5
+      value: 40.217999999999996
+    - type: precision_at_1
+      value: 33.282000000000004
+    - type: precision_at_10
+      value: 6.748
+    - type: precision_at_100
+      value: 0.979
+    - type: precision_at_1000
+      value: 0.126
+    - type: precision_at_3
+      value: 16.462
+    - type: precision_at_5
+      value: 11.411
+    - type: recall_at_1
+      value: 29.311999999999998
+    - type: recall_at_10
+      value: 54.294
+    - type: recall_at_100
+      value: 75.82
+    - type: recall_at_1000
+      value: 93.19800000000001
+    - type: recall_at_3
+      value: 41.382999999999996
+    - type: recall_at_5
+      value: 46.898
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.823
+    - type: map_at_10
+      value: 31.682
+    - type: map_at_100
+      value: 32.864
+    - type: map_at_1000
+      value: 32.988
+    - type: map_at_3
+      value: 28.878999999999998
+    - type: map_at_5
+      value: 30.459000000000003
+    - type: mrr_at_1
+      value: 28.63
+    - type: mrr_at_10
+      value: 36.672
+    - type: mrr_at_100
+      value: 37.519999999999996
+    - type: mrr_at_1000
+      value: 37.588
+    - type: mrr_at_3
+      value: 34.262
+    - type: mrr_at_5
+      value: 35.653
+    - type: ndcg_at_1
+      value: 28.63
+    - type: ndcg_at_10
+      value: 37.158
+    - type: ndcg_at_100
+      value: 42.4
+    - type: ndcg_at_1000
+      value: 45.001000000000005
+    - type: ndcg_at_3
+      value: 32.529
+    - type: ndcg_at_5
+      value: 34.673
+    - type: precision_at_1
+      value: 28.63
+    - type: precision_at_10
+      value: 6.848
+    - type: precision_at_100
+      value: 1.111
+    - type: precision_at_1000
+      value: 0.152
+    - type: precision_at_3
+      value: 15.623000000000001
+    - type: precision_at_5
+      value: 11.218
+    - type: recall_at_1
+      value: 22.823
+    - type: recall_at_10
+      value: 48.559000000000005
+    - type: recall_at_100
+      value: 72.048
+    - type: recall_at_1000
+      value: 90.322
+    - type: recall_at_3
+      value: 35.134
+    - type: recall_at_5
+      value: 40.897
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.79
+    - type: map_at_10
+      value: 43.578
+    - type: map_at_100
+      value: 44.782
+    - type: map_at_1000
+      value: 44.869
+    - type: map_at_3
+      value: 39.737
+    - type: map_at_5
+      value: 41.92
+    - type: mrr_at_1
+      value: 39.086
+    - type: mrr_at_10
+      value: 48.135
+    - type: mrr_at_100
+      value: 48.949
+    - type: mrr_at_1000
+      value: 48.995
+    - type: mrr_at_3
+      value: 45.086999999999996
+    - type: mrr_at_5
+      value: 46.939
+    - type: ndcg_at_1
+      value: 39.086
+    - type: ndcg_at_10
+      value: 49.736999999999995
+    - type: ndcg_at_100
+      value: 54.818999999999996
+    - type: ndcg_at_1000
+      value: 56.515
+    - type: ndcg_at_3
+      value: 43.503
+    - type: ndcg_at_5
+      value: 46.499
+    - type: precision_at_1
+      value: 39.086
+    - type: precision_at_10
+      value: 8.685
+    - type: precision_at_100
+      value: 1.2449999999999999
+    - type: precision_at_1000
+      value: 0.148
+    - type: precision_at_3
+      value: 19.963
+    - type: precision_at_5
+      value: 14.366000000000001
+    - type: recall_at_1
+      value: 32.79
+    - type: recall_at_10
+      value: 63.766
+    - type: recall_at_100
+      value: 85.465
+    - type: recall_at_1000
+      value: 96.90299999999999
+    - type: recall_at_3
+      value: 46.515
+    - type: recall_at_5
+      value: 54.178000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.896
+    - type: map_at_10
+      value: 41.241
+    - type: map_at_100
+      value: 43.178
+    - type: map_at_1000
+      value: 43.395
+    - type: map_at_3
+      value: 37.702999999999996
+    - type: map_at_5
+      value: 39.524
+    - type: mrr_at_1
+      value: 36.364000000000004
+    - type: mrr_at_10
+      value: 46.184999999999995
+    - type: mrr_at_100
+      value: 47.051
+    - type: mrr_at_1000
+      value: 47.085
+    - type: mrr_at_3
+      value: 43.478
+    - type: mrr_at_5
+      value: 44.98
+    - type: ndcg_at_1
+      value: 36.364000000000004
+    - type: ndcg_at_10
+      value: 48.044
+    - type: ndcg_at_100
+      value: 53.818999999999996
+    - type: ndcg_at_1000
+      value: 55.504
+    - type: ndcg_at_3
+      value: 42.604
+    - type: ndcg_at_5
+      value: 44.971
+    - type: precision_at_1
+      value: 36.364000000000004
+    - type: precision_at_10
+      value: 9.664
+    - type: precision_at_100
+      value: 1.917
+    - type: precision_at_1000
+      value: 0.255
+    - type: precision_at_3
+      value: 20.487
+    - type: precision_at_5
+      value: 14.862
+    - type: recall_at_1
+      value: 29.896
+    - type: recall_at_10
+      value: 60.28
+    - type: recall_at_100
+      value: 86.271
+    - type: recall_at_1000
+      value: 97.121
+    - type: recall_at_3
+      value: 44.885999999999996
+    - type: recall_at_5
+      value: 51.351
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.948
+    - type: map_at_10
+      value: 36.138999999999996
+    - type: map_at_100
+      value: 37.126999999999995
+    - type: map_at_1000
+      value: 37.21
+    - type: map_at_3
+      value: 33.526
+    - type: map_at_5
+      value: 35.163
+    - type: mrr_at_1
+      value: 30.684
+    - type: mrr_at_10
+      value: 38.818999999999996
+    - type: mrr_at_100
+      value: 39.625
+    - type: mrr_at_1000
+      value: 39.678000000000004
+    - type: mrr_at_3
+      value: 36.506
+    - type: mrr_at_5
+      value: 37.976
+    - type: ndcg_at_1
+      value: 30.684
+    - type: ndcg_at_10
+      value: 41.134
+    - type: ndcg_at_100
+      value: 46.081
+    - type: ndcg_at_1000
+      value: 48.199999999999996
+    - type: ndcg_at_3
+      value: 36.193
+    - type: ndcg_at_5
+      value: 38.903999999999996
+    - type: precision_at_1
+      value: 30.684
+    - type: precision_at_10
+      value: 6.285
+    - type: precision_at_100
+      value: 0.9520000000000001
+    - type: precision_at_1000
+      value: 0.126
+    - type: precision_at_3
+      value: 15.342
+    - type: precision_at_5
+      value: 10.869
+    - type: recall_at_1
+      value: 27.948
+    - type: recall_at_10
+      value: 53.959
+    - type: recall_at_100
+      value: 76.825
+    - type: recall_at_1000
+      value: 92.73700000000001
+    - type: recall_at_3
+      value: 40.495999999999995
+    - type: recall_at_5
+      value: 47.196
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.27
+    - type: map_at_10
+      value: 25.570999999999998
+    - type: map_at_100
+      value: 27.664
+    - type: map_at_1000
+      value: 27.848
+    - type: map_at_3
+      value: 21.224
+    - type: map_at_5
+      value: 23.508000000000003
+    - type: mrr_at_1
+      value: 34.137
+    - type: mrr_at_10
+      value: 46.583000000000006
+    - type: mrr_at_100
+      value: 47.339999999999996
+    - type: mrr_at_1000
+      value: 47.370000000000005
+    - type: mrr_at_3
+      value: 43.376999999999995
+    - type: mrr_at_5
+      value: 45.26
+    - type: ndcg_at_1
+      value: 34.137
+    - type: ndcg_at_10
+      value: 35.189
+    - type: ndcg_at_100
+      value: 42.568
+    - type: ndcg_at_1000
+      value: 45.660000000000004
+    - type: ndcg_at_3
+      value: 28.965000000000003
+    - type: ndcg_at_5
+      value: 31.169999999999998
+    - type: precision_at_1
+      value: 34.137
+    - type: precision_at_10
+      value: 10.971
+    - type: precision_at_100
+      value: 1.8870000000000002
+    - type: precision_at_1000
+      value: 0.247
+    - type: precision_at_3
+      value: 21.368000000000002
+    - type: precision_at_5
+      value: 16.573
+    - type: recall_at_1
+      value: 15.27
+    - type: recall_at_10
+      value: 41.516999999999996
+    - type: recall_at_100
+      value: 66.486
+    - type: recall_at_1000
+      value: 83.533
+    - type: recall_at_3
+      value: 26.325
+    - type: recall_at_5
+      value: 32.574
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.982000000000001
+    - type: map_at_10
+      value: 23.724999999999998
+    - type: map_at_100
+      value: 33.933
+    - type: map_at_1000
+      value: 35.965
+    - type: map_at_3
+      value: 16.158
+    - type: map_at_5
+      value: 19.433
+    - type: mrr_at_1
+      value: 75.75
+    - type: mrr_at_10
+      value: 82.065
+    - type: mrr_at_100
+      value: 82.334
+    - type: mrr_at_1000
+      value: 82.34
+    - type: mrr_at_3
+      value: 80.708
+    - type: mrr_at_5
+      value: 81.671
+    - type: ndcg_at_1
+      value: 63.625
+    - type: ndcg_at_10
+      value: 49.576
+    - type: ndcg_at_100
+      value: 53.783
+    - type: ndcg_at_1000
+      value: 61.012
+    - type: ndcg_at_3
+      value: 53.822
+    - type: ndcg_at_5
+      value: 51.72
+    - type: precision_at_1
+      value: 75.75
+    - type: precision_at_10
+      value: 39.925
+    - type: precision_at_100
+      value: 12.525
+    - type: precision_at_1000
+      value: 2.399
+    - type: precision_at_3
+      value: 56.667
+    - type: precision_at_5
+      value: 50.5
+    - type: recall_at_1
+      value: 9.982000000000001
+    - type: recall_at_10
+      value: 29.325000000000003
+    - type: recall_at_100
+      value: 59.181
+    - type: recall_at_1000
+      value: 82.095
+    - type: recall_at_3
+      value: 17.338
+    - type: recall_at_5
+      value: 22.216
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 52.04500000000001
+    - type: f1
+      value: 47.32462453881906
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 78.68
+    - type: map_at_10
+      value: 86.207
+    - type: map_at_100
+      value: 86.375
+    - type: map_at_1000
+      value: 86.388
+    - type: map_at_3
+      value: 85.35199999999999
+    - type: map_at_5
+      value: 85.954
+    - type: mrr_at_1
+      value: 84.923
+    - type: mrr_at_10
+      value: 90.902
+    - type: mrr_at_100
+      value: 90.952
+    - type: mrr_at_1000
+      value: 90.952
+    - type: mrr_at_3
+      value: 90.489
+    - type: mrr_at_5
+      value: 90.822
+    - type: ndcg_at_1
+      value: 84.923
+    - type: ndcg_at_10
+      value: 89.403
+    - type: ndcg_at_100
+      value: 90.023
+    - type: ndcg_at_1000
+      value: 90.235
+    - type: ndcg_at_3
+      value: 88.24300000000001
+    - type: ndcg_at_5
+      value: 89.005
+    - type: precision_at_1
+      value: 84.923
+    - type: precision_at_10
+      value: 10.495000000000001
+    - type: precision_at_100
+      value: 1.103
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 33.358
+    - type: precision_at_5
+      value: 20.579
+    - type: recall_at_1
+      value: 78.68
+    - type: recall_at_10
+      value: 94.622
+    - type: recall_at_100
+      value: 97.083
+    - type: recall_at_1000
+      value: 98.348
+    - type: recall_at_3
+      value: 91.499
+    - type: recall_at_5
+      value: 93.486
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.781
+    - type: map_at_10
+      value: 44.669
+    - type: map_at_100
+      value: 46.831
+    - type: map_at_1000
+      value: 46.96
+    - type: map_at_3
+      value: 38.714
+    - type: map_at_5
+      value: 42.186
+    - type: mrr_at_1
+      value: 51.235
+    - type: mrr_at_10
+      value: 60.083
+    - type: mrr_at_100
+      value: 60.675999999999995
+    - type: mrr_at_1000
+      value: 60.706
+    - type: mrr_at_3
+      value: 57.665
+    - type: mrr_at_5
+      value: 59.084
+    - type: ndcg_at_1
+      value: 51.235
+    - type: ndcg_at_10
+      value: 53.111
+    - type: ndcg_at_100
+      value: 59.57900000000001
+    - type: ndcg_at_1000
+      value: 61.57
+    - type: ndcg_at_3
+      value: 48.397
+    - type: ndcg_at_5
+      value: 50.169
+    - type: precision_at_1
+      value: 51.235
+    - type: precision_at_10
+      value: 14.877
+    - type: precision_at_100
+      value: 2.173
+    - type: precision_at_1000
+      value: 0.253
+    - type: precision_at_3
+      value: 32.87
+    - type: precision_at_5
+      value: 24.29
+    - type: recall_at_1
+      value: 25.781
+    - type: recall_at_10
+      value: 61.464
+    - type: recall_at_100
+      value: 84.244
+    - type: recall_at_1000
+      value: 96.039
+    - type: recall_at_3
+      value: 44.105
+    - type: recall_at_5
+      value: 52.205999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 39.041
+    - type: map_at_10
+      value: 66.622
+    - type: map_at_100
+      value: 67.472
+    - type: map_at_1000
+      value: 67.52
+    - type: map_at_3
+      value: 62.81099999999999
+    - type: map_at_5
+      value: 65.23
+    - type: mrr_at_1
+      value: 78.082
+    - type: mrr_at_10
+      value: 83.827
+    - type: mrr_at_100
+      value: 84.03
+    - type: mrr_at_1000
+      value: 84.036
+    - type: mrr_at_3
+      value: 82.894
+    - type: mrr_at_5
+      value: 83.482
+    - type: ndcg_at_1
+      value: 78.082
+    - type: ndcg_at_10
+      value: 74.068
+    - type: ndcg_at_100
+      value: 76.981
+    - type: ndcg_at_1000
+      value: 77.887
+    - type: ndcg_at_3
+      value: 68.77600000000001
+    - type: ndcg_at_5
+      value: 71.763
+    - type: precision_at_1
+      value: 78.082
+    - type: precision_at_10
+      value: 15.822
+    - type: precision_at_100
+      value: 1.807
+    - type: precision_at_1000
+      value: 0.193
+    - type: precision_at_3
+      value: 44.956
+    - type: precision_at_5
+      value: 29.332
+    - type: recall_at_1
+      value: 39.041
+    - type: recall_at_10
+      value: 79.109
+    - type: recall_at_100
+      value: 90.371
+    - type: recall_at_1000
+      value: 96.313
+    - type: recall_at_3
+      value: 67.43400000000001
+    - type: recall_at_5
+      value: 73.329
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 87.422
+    - type: ap
+      value: 83.07360776629146
+    - type: f1
+      value: 87.38583428778229
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.715999999999998
+    - type: map_at_10
+      value: 34.821000000000005
+    - type: map_at_100
+      value: 36.022999999999996
+    - type: map_at_1000
+      value: 36.067
+    - type: map_at_3
+      value: 30.666
+    - type: map_at_5
+      value: 33.134
+    - type: mrr_at_1
+      value: 22.421
+    - type: mrr_at_10
+      value: 35.461
+    - type: mrr_at_100
+      value: 36.6
+    - type: mrr_at_1000
+      value: 36.638
+    - type: mrr_at_3
+      value: 31.413999999999998
+    - type: mrr_at_5
+      value: 33.823
+    - type: ndcg_at_1
+      value: 22.421
+    - type: ndcg_at_10
+      value: 42.169000000000004
+    - type: ndcg_at_100
+      value: 47.887
+    - type: ndcg_at_1000
+      value: 48.939
+    - type: ndcg_at_3
+      value: 33.786
+    - type: ndcg_at_5
+      value: 38.164
+    - type: precision_at_1
+      value: 22.421
+    - type: precision_at_10
+      value: 6.773999999999999
+    - type: precision_at_100
+      value: 0.962
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 14.575
+    - type: precision_at_5
+      value: 10.963000000000001
+    - type: recall_at_1
+      value: 21.715999999999998
+    - type: recall_at_10
+      value: 64.75999999999999
+    - type: recall_at_100
+      value: 91.015
+    - type: recall_at_1000
+      value: 98.96000000000001
+    - type: recall_at_3
+      value: 42.089999999999996
+    - type: recall_at_5
+      value: 52.578
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 96.04195166438669
+    - type: f1
+      value: 95.76962987454031
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 84.76744186046513
+    - type: f1
+      value: 70.3328215706764
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 79.29051782111635
+    - type: f1
+      value: 77.0837414890434
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 81.64425016812373
+    - type: f1
+      value: 81.36288379329044
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.0673311773222
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 31.266850505047234
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.49575275757744
+    - type: mrr
+      value: 32.64979714009148
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.151
+    - type: map_at_10
+      value: 14.879999999999999
+    - type: map_at_100
+      value: 19.445999999999998
+    - type: map_at_1000
+      value: 21.101
+    - type: map_at_3
+      value: 10.613999999999999
+    - type: map_at_5
+      value: 12.709000000000001
+    - type: mrr_at_1
+      value: 51.393
+    - type: mrr_at_10
+      value: 59.935
+    - type: mrr_at_100
+      value: 60.455000000000005
+    - type: mrr_at_1000
+      value: 60.485
+    - type: mrr_at_3
+      value: 57.894999999999996
+    - type: mrr_at_5
+      value: 59.303
+    - type: ndcg_at_1
+      value: 50.0
+    - type: ndcg_at_10
+      value: 39.324999999999996
+    - type: ndcg_at_100
+      value: 37.133
+    - type: ndcg_at_1000
+      value: 45.663
+    - type: ndcg_at_3
+      value: 45.294000000000004
+    - type: ndcg_at_5
+      value: 42.88
+    - type: precision_at_1
+      value: 51.393
+    - type: precision_at_10
+      value: 29.412
+    - type: precision_at_100
+      value: 9.666
+    - type: precision_at_1000
+      value: 2.263
+    - type: precision_at_3
+      value: 42.415000000000006
+    - type: precision_at_5
+      value: 37.399
+    - type: recall_at_1
+      value: 6.151
+    - type: recall_at_10
+      value: 19.121
+    - type: recall_at_100
+      value: 39.012
+    - type: recall_at_1000
+      value: 70.726
+    - type: recall_at_3
+      value: 11.855
+    - type: recall_at_5
+      value: 15.204
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 36.382
+    - type: map_at_10
+      value: 53.657
+    - type: map_at_100
+      value: 54.547999999999995
+    - type: map_at_1000
+      value: 54.562999999999995
+    - type: map_at_3
+      value: 49.236999999999995
+    - type: map_at_5
+      value: 51.949
+    - type: mrr_at_1
+      value: 41.309000000000005
+    - type: mrr_at_10
+      value: 56.25599999999999
+    - type: mrr_at_100
+      value: 56.855999999999995
+    - type: mrr_at_1000
+      value: 56.867000000000004
+    - type: mrr_at_3
+      value: 52.891999999999996
+    - type: mrr_at_5
+      value: 54.99699999999999
+    - type: ndcg_at_1
+      value: 41.28
+    - type: ndcg_at_10
+      value: 61.702999999999996
+    - type: ndcg_at_100
+      value: 65.092
+    - type: ndcg_at_1000
+      value: 65.392
+    - type: ndcg_at_3
+      value: 53.722
+    - type: ndcg_at_5
+      value: 58.11300000000001
+    - type: precision_at_1
+      value: 41.28
+    - type: precision_at_10
+      value: 10.014000000000001
+    - type: precision_at_100
+      value: 1.187
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 24.614
+    - type: precision_at_5
+      value: 17.317
+    - type: recall_at_1
+      value: 36.382
+    - type: recall_at_10
+      value: 83.38600000000001
+    - type: recall_at_100
+      value: 97.528
+    - type: recall_at_1000
+      value: 99.696
+    - type: recall_at_3
+      value: 63.053000000000004
+    - type: recall_at_5
+      value: 73.16
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.577
+    - type: map_at_10
+      value: 83.944
+    - type: map_at_100
+      value: 84.604
+    - type: map_at_1000
+      value: 84.61800000000001
+    - type: map_at_3
+      value: 80.93599999999999
+    - type: map_at_5
+      value: 82.812
+    - type: mrr_at_1
+      value: 80.4
+    - type: mrr_at_10
+      value: 86.734
+    - type: mrr_at_100
+      value: 86.851
+    - type: mrr_at_1000
+      value: 86.85199999999999
+    - type: mrr_at_3
+      value: 85.75500000000001
+    - type: mrr_at_5
+      value: 86.396
+    - type: ndcg_at_1
+      value: 80.43
+    - type: ndcg_at_10
+      value: 87.75
+    - type: ndcg_at_100
+      value: 88.999
+    - type: ndcg_at_1000
+      value: 89.092
+    - type: ndcg_at_3
+      value: 84.88
+    - type: ndcg_at_5
+      value: 86.416
+    - type: precision_at_1
+      value: 80.43
+    - type: precision_at_10
+      value: 13.453000000000001
+    - type: precision_at_100
+      value: 1.539
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.403
+    - type: precision_at_5
+      value: 24.648
+    - type: recall_at_1
+      value: 69.577
+    - type: recall_at_10
+      value: 95.233
+    - type: recall_at_100
+      value: 99.531
+    - type: recall_at_1000
+      value: 99.984
+    - type: recall_at_3
+      value: 86.867
+    - type: recall_at_5
+      value: 91.254
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 60.23690763558931
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 64.12391112159126
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.288
+    - type: map_at_10
+      value: 13.611999999999998
+    - type: map_at_100
+      value: 15.909
+    - type: map_at_1000
+      value: 16.235
+    - type: map_at_3
+      value: 9.644
+    - type: map_at_5
+      value: 11.559
+    - type: mrr_at_1
+      value: 26.1
+    - type: mrr_at_10
+      value: 37.571
+    - type: mrr_at_100
+      value: 38.72
+    - type: mrr_at_1000
+      value: 38.76
+    - type: mrr_at_3
+      value: 34.383
+    - type: mrr_at_5
+      value: 36.187999999999995
+    - type: ndcg_at_1
+      value: 26.1
+    - type: ndcg_at_10
+      value: 22.497
+    - type: ndcg_at_100
+      value: 31.098
+    - type: ndcg_at_1000
+      value: 36.434
+    - type: ndcg_at_3
+      value: 21.401
+    - type: ndcg_at_5
+      value: 18.66
+    - type: precision_at_1
+      value: 26.1
+    - type: precision_at_10
+      value: 11.67
+    - type: precision_at_100
+      value: 2.405
+    - type: precision_at_1000
+      value: 0.368
+    - type: precision_at_3
+      value: 20.0
+    - type: precision_at_5
+      value: 16.34
+    - type: recall_at_1
+      value: 5.288
+    - type: recall_at_10
+      value: 23.652
+    - type: recall_at_100
+      value: 48.79
+    - type: recall_at_1000
+      value: 74.703
+    - type: recall_at_3
+      value: 12.158
+    - type: recall_at_5
+      value: 16.582
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_spearman
+      value: 83.6969699802343
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_spearman
+      value: 78.8031221769135
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_spearman
+      value: 86.37435789895171
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_spearman
+      value: 84.04036612478626
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_spearman
+      value: 88.99055778929946
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_spearman
+      value: 87.22140434759893
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_spearman
+      value: 90.1862731405498
+  - 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: 67.67995229420237
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_spearman
+      value: 88.65370934976113
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 83.79832393152147
+    - type: mrr
+      value: 95.78404438698557
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 64.883
+    - type: map_at_10
+      value: 74.48
+    - type: map_at_100
+      value: 74.85000000000001
+    - type: map_at_1000
+      value: 74.861
+    - type: map_at_3
+      value: 71.596
+    - type: map_at_5
+      value: 73.545
+    - type: mrr_at_1
+      value: 67.667
+    - type: mrr_at_10
+      value: 75.394
+    - type: mrr_at_100
+      value: 75.644
+    - type: mrr_at_1000
+      value: 75.655
+    - type: mrr_at_3
+      value: 73.5
+    - type: mrr_at_5
+      value: 74.63300000000001
+    - type: ndcg_at_1
+      value: 67.667
+    - type: ndcg_at_10
+      value: 78.855
+    - type: ndcg_at_100
+      value: 80.361
+    - type: ndcg_at_1000
+      value: 80.624
+    - type: ndcg_at_3
+      value: 74.37899999999999
+    - type: ndcg_at_5
+      value: 76.89200000000001
+    - type: precision_at_1
+      value: 67.667
+    - type: precision_at_10
+      value: 10.267
+    - type: precision_at_100
+      value: 1.11
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 28.778
+    - type: precision_at_5
+      value: 19.133
+    - type: recall_at_1
+      value: 64.883
+    - type: recall_at_10
+      value: 91.2
+    - type: recall_at_100
+      value: 98.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 79.406
+    - type: recall_at_5
+      value: 85.578
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.85445544554456
+    - type: cos_sim_ap
+      value: 96.81785428870712
+    - type: cos_sim_f1
+      value: 92.67563527653213
+    - type: cos_sim_precision
+      value: 92.35352532274081
+    - type: cos_sim_recall
+      value: 93.0
+    - type: dot_accuracy
+      value: 99.75643564356436
+    - type: dot_ap
+      value: 94.46746929160422
+    - type: dot_f1
+      value: 87.74900398406375
+    - type: dot_precision
+      value: 87.40079365079364
+    - type: dot_recall
+      value: 88.1
+    - type: euclidean_accuracy
+      value: 99.85445544554456
+    - type: euclidean_ap
+      value: 96.59180137299155
+    - type: euclidean_f1
+      value: 92.48850281042411
+    - type: euclidean_precision
+      value: 94.56635318704284
+    - type: euclidean_recall
+      value: 90.5
+    - type: manhattan_accuracy
+      value: 99.85643564356435
+    - type: manhattan_ap
+      value: 96.66599616275849
+    - type: manhattan_f1
+      value: 92.69746646795828
+    - type: manhattan_precision
+      value: 92.10266535044423
+    - type: manhattan_recall
+      value: 93.30000000000001
+    - type: max_accuracy
+      value: 99.85643564356435
+    - type: max_ap
+      value: 96.81785428870712
+    - type: max_f1
+      value: 92.69746646795828
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 70.72970157362414
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.49706344517027
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 54.41010678297881
+    - type: mrr
+      value: 55.15095811051693
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.5030094989814
+    - type: cos_sim_spearman
+      value: 29.959138274084797
+    - type: dot_pearson
+      value: 29.740134155639076
+    - type: dot_spearman
+      value: 29.18174652067779
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.22200000000000003
+    - type: map_at_10
+      value: 1.925
+    - type: map_at_100
+      value: 13.150999999999998
+    - type: map_at_1000
+      value: 33.410000000000004
+    - type: map_at_3
+      value: 0.631
+    - type: map_at_5
+      value: 0.9990000000000001
+    - type: mrr_at_1
+      value: 82.0
+    - type: mrr_at_10
+      value: 90.0
+    - type: mrr_at_100
+      value: 90.0
+    - type: mrr_at_1000
+      value: 90.0
+    - type: mrr_at_3
+      value: 89.0
+    - type: mrr_at_5
+      value: 90.0
+    - type: ndcg_at_1
+      value: 79.0
+    - type: ndcg_at_10
+      value: 77.69200000000001
+    - type: ndcg_at_100
+      value: 64.89
+    - type: ndcg_at_1000
+      value: 59.748999999999995
+    - type: ndcg_at_3
+      value: 79.296
+    - type: ndcg_at_5
+      value: 78.63
+    - type: precision_at_1
+      value: 82.0
+    - type: precision_at_10
+      value: 82.19999999999999
+    - type: precision_at_100
+      value: 67.52
+    - type: precision_at_1000
+      value: 26.512
+    - type: precision_at_3
+      value: 83.333
+    - type: precision_at_5
+      value: 83.2
+    - type: recall_at_1
+      value: 0.22200000000000003
+    - type: recall_at_10
+      value: 2.164
+    - type: recall_at_100
+      value: 16.608
+    - type: recall_at_1000
+      value: 56.89999999999999
+    - type: recall_at_3
+      value: 0.658
+    - type: recall_at_5
+      value: 1.084
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.8519999999999999
+    - type: map_at_10
+      value: 8.569
+    - type: map_at_100
+      value: 14.238999999999999
+    - type: map_at_1000
+      value: 15.876000000000001
+    - type: map_at_3
+      value: 3.9859999999999998
+    - type: map_at_5
+      value: 5.785
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 40.581
+    - type: mrr_at_100
+      value: 41.379
+    - type: mrr_at_1000
+      value: 41.388999999999996
+    - type: mrr_at_3
+      value: 35.034
+    - type: mrr_at_5
+      value: 38.299
+    - type: ndcg_at_1
+      value: 25.509999999999998
+    - type: ndcg_at_10
+      value: 22.18
+    - type: ndcg_at_100
+      value: 34.695
+    - type: ndcg_at_1000
+      value: 46.854
+    - type: ndcg_at_3
+      value: 23.112
+    - type: ndcg_at_5
+      value: 23.089000000000002
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 20.408
+    - type: precision_at_100
+      value: 7.428999999999999
+    - type: precision_at_1000
+      value: 1.559
+    - type: precision_at_3
+      value: 23.810000000000002
+    - type: precision_at_5
+      value: 23.265
+    - type: recall_at_1
+      value: 1.8519999999999999
+    - type: recall_at_10
+      value: 15.038000000000002
+    - type: recall_at_100
+      value: 46.499
+    - type: recall_at_1000
+      value: 84.11800000000001
+    - type: recall_at_3
+      value: 5.179
+    - type: recall_at_5
+      value: 8.758000000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 69.26140000000001
+    - type: ap
+      value: 14.138284541193421
+    - type: f1
+      value: 53.715363590501916
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 62.136389360498015
+    - type: f1
+      value: 62.33290824449911
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 52.18306009684791
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.27561542588067
+    - type: cos_sim_ap
+      value: 80.59558041410928
+    - type: cos_sim_f1
+      value: 73.54724608388075
+    - type: cos_sim_precision
+      value: 70.55259331071255
+    - type: cos_sim_recall
+      value: 76.80738786279684
+    - type: dot_accuracy
+      value: 85.00923883888657
+    - type: dot_ap
+      value: 71.76942851966301
+    - type: dot_f1
+      value: 66.84518013631937
+    - type: dot_precision
+      value: 62.042476276547674
+    - type: dot_recall
+      value: 72.45382585751979
+    - type: euclidean_accuracy
+      value: 88.26965488466352
+    - type: euclidean_ap
+      value: 80.44398056118867
+    - type: euclidean_f1
+      value: 73.28244274809161
+    - type: euclidean_precision
+      value: 68.69806094182826
+    - type: euclidean_recall
+      value: 78.52242744063325
+    - type: manhattan_accuracy
+      value: 88.25773380222924
+    - type: manhattan_ap
+      value: 80.25000483445007
+    - type: manhattan_f1
+      value: 73.10447023956533
+    - type: manhattan_precision
+      value: 68.70937790157846
+    - type: manhattan_recall
+      value: 78.10026385224275
+    - type: max_accuracy
+      value: 88.27561542588067
+    - type: max_ap
+      value: 80.59558041410928
+    - type: max_f1
+      value: 73.54724608388075
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.52536189700004
+    - type: cos_sim_ap
+      value: 86.55972191277392
+    - type: cos_sim_f1
+      value: 79.31733569243245
+    - type: cos_sim_precision
+      value: 76.08372816632487
+    - type: cos_sim_recall
+      value: 82.83800431167231
+    - type: dot_accuracy
+      value: 87.77506112469437
+    - type: dot_ap
+      value: 82.92833178514168
+    - type: dot_f1
+      value: 76.12050479839702
+    - type: dot_precision
+      value: 70.03687172520861
+    - type: dot_recall
+      value: 83.3615645210964
+    - type: euclidean_accuracy
+      value: 89.3643031784841
+    - type: euclidean_ap
+      value: 86.45902920741383
+    - type: euclidean_f1
+      value: 79.4788514062154
+    - type: euclidean_precision
+      value: 76.32922160782645
+    - type: euclidean_recall
+      value: 82.89959963042809
+    - type: manhattan_accuracy
+      value: 89.38564830985369
+    - type: manhattan_ap
+      value: 86.47558438668958
+    - type: manhattan_f1
+      value: 79.46758328152997
+    - type: manhattan_precision
+      value: 75.67379343965457
+    - type: manhattan_recall
+      value: 83.66184170003079
+    - type: max_accuracy
+      value: 89.52536189700004
+    - type: max_ap
+      value: 86.55972191277392
+    - type: max_f1
+      value: 79.4788514062154
 ---
 
 # LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders