Update README.md

README.md

@@ -23,6 +23,2501 @@ tags:
 - fever
 - hotpot_qa
 - mteb
+model-index:
+- name: LLM2Vec-Llama-2-supervised
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 82.22388059701493
+    - type: ap
+      value: 47.788307673555714
+    - type: f1
+      value: 76.49604943193079
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 89.69365
+    - type: ap
+      value: 86.10524801582373
+    - type: f1
+      value: 89.68072139277054
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 48.472
+    - type: f1
+      value: 47.393562374719444
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.942999999999998
+    - type: map_at_10
+      value: 47.233999999999995
+    - type: map_at_100
+      value: 48.031
+    - type: map_at_1000
+      value: 48.033
+    - type: map_at_3
+      value: 42.307
+    - type: map_at_5
+      value: 45.269
+    - type: mrr_at_1
+      value: 30.797
+    - type: mrr_at_10
+      value: 47.53
+    - type: mrr_at_100
+      value: 48.327
+    - type: mrr_at_1000
+      value: 48.329
+    - type: mrr_at_3
+      value: 42.662
+    - type: mrr_at_5
+      value: 45.564
+    - type: ndcg_at_1
+      value: 29.942999999999998
+    - type: ndcg_at_10
+      value: 56.535000000000004
+    - type: ndcg_at_100
+      value: 59.699999999999996
+    - type: ndcg_at_1000
+      value: 59.731
+    - type: ndcg_at_3
+      value: 46.397
+    - type: ndcg_at_5
+      value: 51.747
+    - type: precision_at_1
+      value: 29.942999999999998
+    - type: precision_at_10
+      value: 8.613
+    - type: precision_at_100
+      value: 0.9939999999999999
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 19.417
+    - type: precision_at_5
+      value: 14.252999999999998
+    - type: recall_at_1
+      value: 29.942999999999998
+    - type: recall_at_10
+      value: 86.131
+    - type: recall_at_100
+      value: 99.431
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 58.25
+    - type: recall_at_5
+      value: 71.26599999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 43.136536817000525
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 42.37552764639677
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 63.13252095544898
+    - type: mrr
+      value: 75.23721584663414
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_spearman
+      value: 82.13259433844514
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 88.16558441558442
+    - type: f1
+      value: 88.1065214360906
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 35.88158182824787
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 34.80880955757979
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 35.793
+    - type: map_at_10
+      value: 48.413000000000004
+    - type: map_at_100
+      value: 50.112
+    - type: map_at_1000
+      value: 50.212999999999994
+    - type: map_at_3
+      value: 44.656
+    - type: map_at_5
+      value: 46.577
+    - type: mrr_at_1
+      value: 44.921
+    - type: mrr_at_10
+      value: 55.16
+    - type: mrr_at_100
+      value: 55.886
+    - type: mrr_at_1000
+      value: 55.915000000000006
+    - type: mrr_at_3
+      value: 52.861000000000004
+    - type: mrr_at_5
+      value: 54.113
+    - type: ndcg_at_1
+      value: 44.921
+    - type: ndcg_at_10
+      value: 55.205000000000005
+    - type: ndcg_at_100
+      value: 60.62800000000001
+    - type: ndcg_at_1000
+      value: 61.949
+    - type: ndcg_at_3
+      value: 50.597
+    - type: ndcg_at_5
+      value: 52.261
+    - type: precision_at_1
+      value: 44.921
+    - type: precision_at_10
+      value: 10.73
+    - type: precision_at_100
+      value: 1.6809999999999998
+    - type: precision_at_1000
+      value: 0.208
+    - type: precision_at_3
+      value: 24.701999999999998
+    - type: precision_at_5
+      value: 17.339
+    - type: recall_at_1
+      value: 35.793
+    - type: recall_at_10
+      value: 67.49300000000001
+    - type: recall_at_100
+      value: 89.74499999999999
+    - type: recall_at_1000
+      value: 97.855
+    - type: recall_at_3
+      value: 52.586
+    - type: recall_at_5
+      value: 58.267
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 35.989
+    - type: map_at_10
+      value: 47.61
+    - type: map_at_100
+      value: 48.956
+    - type: map_at_1000
+      value: 49.074
+    - type: map_at_3
+      value: 44.563
+    - type: map_at_5
+      value: 46.181
+    - type: mrr_at_1
+      value: 45.096000000000004
+    - type: mrr_at_10
+      value: 53.583999999999996
+    - type: mrr_at_100
+      value: 54.242000000000004
+    - type: mrr_at_1000
+      value: 54.277
+    - type: mrr_at_3
+      value: 51.73
+    - type: mrr_at_5
+      value: 52.759
+    - type: ndcg_at_1
+      value: 45.096000000000004
+    - type: ndcg_at_10
+      value: 53.318
+    - type: ndcg_at_100
+      value: 57.541
+    - type: ndcg_at_1000
+      value: 59.30800000000001
+    - type: ndcg_at_3
+      value: 49.725
+    - type: ndcg_at_5
+      value: 51.117000000000004
+    - type: precision_at_1
+      value: 45.096000000000004
+    - type: precision_at_10
+      value: 10.032
+    - type: precision_at_100
+      value: 1.559
+    - type: precision_at_1000
+      value: 0.201
+    - type: precision_at_3
+      value: 24.331
+    - type: precision_at_5
+      value: 16.777
+    - type: recall_at_1
+      value: 35.989
+    - type: recall_at_10
+      value: 62.759
+    - type: recall_at_100
+      value: 80.353
+    - type: recall_at_1000
+      value: 91.328
+    - type: recall_at_3
+      value: 51.127
+    - type: recall_at_5
+      value: 55.823
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 44.277
+    - type: map_at_10
+      value: 57.699
+    - type: map_at_100
+      value: 58.718
+    - type: map_at_1000
+      value: 58.754
+    - type: map_at_3
+      value: 54.04
+    - type: map_at_5
+      value: 56.184999999999995
+    - type: mrr_at_1
+      value: 50.658
+    - type: mrr_at_10
+      value: 61.245000000000005
+    - type: mrr_at_100
+      value: 61.839999999999996
+    - type: mrr_at_1000
+      value: 61.85699999999999
+    - type: mrr_at_3
+      value: 58.797999999999995
+    - type: mrr_at_5
+      value: 60.35
+    - type: ndcg_at_1
+      value: 50.658
+    - type: ndcg_at_10
+      value: 63.788
+    - type: ndcg_at_100
+      value: 67.52
+    - type: ndcg_at_1000
+      value: 68.12
+    - type: ndcg_at_3
+      value: 57.923
+    - type: ndcg_at_5
+      value: 60.976
+    - type: precision_at_1
+      value: 50.658
+    - type: precision_at_10
+      value: 10.257
+    - type: precision_at_100
+      value: 1.303
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 25.705
+    - type: precision_at_5
+      value: 17.718
+    - type: recall_at_1
+      value: 44.277
+    - type: recall_at_10
+      value: 78.056
+    - type: recall_at_100
+      value: 93.973
+    - type: recall_at_1000
+      value: 97.946
+    - type: recall_at_3
+      value: 62.578
+    - type: recall_at_5
+      value: 70.03
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.101
+    - type: map_at_10
+      value: 36.775000000000006
+    - type: map_at_100
+      value: 37.901
+    - type: map_at_1000
+      value: 37.97
+    - type: map_at_3
+      value: 33.721000000000004
+    - type: map_at_5
+      value: 35.641
+    - type: mrr_at_1
+      value: 29.153000000000002
+    - type: mrr_at_10
+      value: 38.951
+    - type: mrr_at_100
+      value: 39.896
+    - type: mrr_at_1000
+      value: 39.946
+    - type: mrr_at_3
+      value: 36.102000000000004
+    - type: mrr_at_5
+      value: 37.96
+    - type: ndcg_at_1
+      value: 29.153000000000002
+    - type: ndcg_at_10
+      value: 42.134
+    - type: ndcg_at_100
+      value: 47.499
+    - type: ndcg_at_1000
+      value: 49.169000000000004
+    - type: ndcg_at_3
+      value: 36.351
+    - type: ndcg_at_5
+      value: 39.596
+    - type: precision_at_1
+      value: 29.153000000000002
+    - type: precision_at_10
+      value: 6.508
+    - type: precision_at_100
+      value: 0.966
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 15.367
+    - type: precision_at_5
+      value: 11.096
+    - type: recall_at_1
+      value: 27.101
+    - type: recall_at_10
+      value: 56.447
+    - type: recall_at_100
+      value: 80.828
+    - type: recall_at_1000
+      value: 93.171
+    - type: recall_at_3
+      value: 41.087
+    - type: recall_at_5
+      value: 48.888999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.227
+    - type: map_at_10
+      value: 28.965000000000003
+    - type: map_at_100
+      value: 30.383
+    - type: map_at_1000
+      value: 30.494
+    - type: map_at_3
+      value: 26.157999999999998
+    - type: map_at_5
+      value: 27.794
+    - type: mrr_at_1
+      value: 23.756
+    - type: mrr_at_10
+      value: 33.728
+    - type: mrr_at_100
+      value: 34.743
+    - type: mrr_at_1000
+      value: 34.799
+    - type: mrr_at_3
+      value: 31.074
+    - type: mrr_at_5
+      value: 32.803
+    - type: ndcg_at_1
+      value: 23.756
+    - type: ndcg_at_10
+      value: 34.772
+    - type: ndcg_at_100
+      value: 41.041
+    - type: ndcg_at_1000
+      value: 43.399
+    - type: ndcg_at_3
+      value: 29.776000000000003
+    - type: ndcg_at_5
+      value: 32.318999999999996
+    - type: precision_at_1
+      value: 23.756
+    - type: precision_at_10
+      value: 6.505
+    - type: precision_at_100
+      value: 1.107
+    - type: precision_at_1000
+      value: 0.14400000000000002
+    - type: precision_at_3
+      value: 14.594
+    - type: precision_at_5
+      value: 10.671999999999999
+    - type: recall_at_1
+      value: 19.227
+    - type: recall_at_10
+      value: 47.514
+    - type: recall_at_100
+      value: 74.378
+    - type: recall_at_1000
+      value: 90.615
+    - type: recall_at_3
+      value: 33.995
+    - type: recall_at_5
+      value: 40.361000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.164
+    - type: map_at_10
+      value: 45.943
+    - type: map_at_100
+      value: 47.321999999999996
+    - type: map_at_1000
+      value: 47.426
+    - type: map_at_3
+      value: 42.485
+    - type: map_at_5
+      value: 44.440000000000005
+    - type: mrr_at_1
+      value: 41.577999999999996
+    - type: mrr_at_10
+      value: 51.373000000000005
+    - type: mrr_at_100
+      value: 52.176
+    - type: mrr_at_1000
+      value: 52.205999999999996
+    - type: mrr_at_3
+      value: 49.07
+    - type: mrr_at_5
+      value: 50.451
+    - type: ndcg_at_1
+      value: 41.577999999999996
+    - type: ndcg_at_10
+      value: 52.071
+    - type: ndcg_at_100
+      value: 57.467999999999996
+    - type: ndcg_at_1000
+      value: 59.068
+    - type: ndcg_at_3
+      value: 47.053
+    - type: ndcg_at_5
+      value: 49.508
+    - type: precision_at_1
+      value: 41.577999999999996
+    - type: precision_at_10
+      value: 9.461
+    - type: precision_at_100
+      value: 1.425
+    - type: precision_at_1000
+      value: 0.17500000000000002
+    - type: precision_at_3
+      value: 22.425
+    - type: precision_at_5
+      value: 15.823
+    - type: recall_at_1
+      value: 34.164
+    - type: recall_at_10
+      value: 64.446
+    - type: recall_at_100
+      value: 86.978
+    - type: recall_at_1000
+      value: 96.976
+    - type: recall_at_3
+      value: 50.358999999999995
+    - type: recall_at_5
+      value: 56.825
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.988
+    - type: map_at_10
+      value: 43.293
+    - type: map_at_100
+      value: 44.64
+    - type: map_at_1000
+      value: 44.735
+    - type: map_at_3
+      value: 39.041
+    - type: map_at_5
+      value: 41.461999999999996
+    - type: mrr_at_1
+      value: 39.498
+    - type: mrr_at_10
+      value: 49.763000000000005
+    - type: mrr_at_100
+      value: 50.517
+    - type: mrr_at_1000
+      value: 50.556
+    - type: mrr_at_3
+      value: 46.747
+    - type: mrr_at_5
+      value: 48.522
+    - type: ndcg_at_1
+      value: 39.498
+    - type: ndcg_at_10
+      value: 50.285000000000004
+    - type: ndcg_at_100
+      value: 55.457
+    - type: ndcg_at_1000
+      value: 57.062999999999995
+    - type: ndcg_at_3
+      value: 43.795
+    - type: ndcg_at_5
+      value: 46.813
+    - type: precision_at_1
+      value: 39.498
+    - type: precision_at_10
+      value: 9.486
+    - type: precision_at_100
+      value: 1.403
+    - type: precision_at_1000
+      value: 0.172
+    - type: precision_at_3
+      value: 21.081
+    - type: precision_at_5
+      value: 15.434000000000001
+    - type: recall_at_1
+      value: 30.988
+    - type: recall_at_10
+      value: 64.751
+    - type: recall_at_100
+      value: 86.496
+    - type: recall_at_1000
+      value: 96.86200000000001
+    - type: recall_at_3
+      value: 46.412
+    - type: recall_at_5
+      value: 54.381
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.636000000000003
+    - type: map_at_10
+      value: 40.15091666666667
+    - type: map_at_100
+      value: 41.47933333333333
+    - type: map_at_1000
+      value: 41.58425
+    - type: map_at_3
+      value: 36.98025
+    - type: map_at_5
+      value: 38.76483333333333
+    - type: mrr_at_1
+      value: 35.3525
+    - type: mrr_at_10
+      value: 44.62258333333334
+    - type: mrr_at_100
+      value: 45.47491666666667
+    - type: mrr_at_1000
+      value: 45.52275
+    - type: mrr_at_3
+      value: 42.18574999999999
+    - type: mrr_at_5
+      value: 43.608333333333334
+    - type: ndcg_at_1
+      value: 35.3525
+    - type: ndcg_at_10
+      value: 45.935333333333325
+    - type: ndcg_at_100
+      value: 51.185249999999996
+    - type: ndcg_at_1000
+      value: 53.07075
+    - type: ndcg_at_3
+      value: 40.893416666666674
+    - type: ndcg_at_5
+      value: 43.272916666666674
+    - type: precision_at_1
+      value: 35.3525
+    - type: precision_at_10
+      value: 8.118
+    - type: precision_at_100
+      value: 1.2704166666666667
+    - type: precision_at_1000
+      value: 0.16158333333333333
+    - type: precision_at_3
+      value: 18.987000000000002
+    - type: precision_at_5
+      value: 13.416083333333335
+    - type: recall_at_1
+      value: 29.636000000000003
+    - type: recall_at_10
+      value: 58.38899999999999
+    - type: recall_at_100
+      value: 81.08758333333334
+    - type: recall_at_1000
+      value: 93.93433333333333
+    - type: recall_at_3
+      value: 44.1485
+    - type: recall_at_5
+      value: 50.43808333333334
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.102999999999998
+    - type: map_at_10
+      value: 33.822
+    - type: map_at_100
+      value: 34.77
+    - type: map_at_1000
+      value: 34.862
+    - type: map_at_3
+      value: 31.305
+    - type: map_at_5
+      value: 32.714999999999996
+    - type: mrr_at_1
+      value: 28.221
+    - type: mrr_at_10
+      value: 36.677
+    - type: mrr_at_100
+      value: 37.419999999999995
+    - type: mrr_at_1000
+      value: 37.49
+    - type: mrr_at_3
+      value: 34.407
+    - type: mrr_at_5
+      value: 35.510999999999996
+    - type: ndcg_at_1
+      value: 28.221
+    - type: ndcg_at_10
+      value: 38.739000000000004
+    - type: ndcg_at_100
+      value: 43.4
+    - type: ndcg_at_1000
+      value: 45.759
+    - type: ndcg_at_3
+      value: 34.076
+    - type: ndcg_at_5
+      value: 36.153999999999996
+    - type: precision_at_1
+      value: 28.221
+    - type: precision_at_10
+      value: 6.227
+    - type: precision_at_100
+      value: 0.9339999999999999
+    - type: precision_at_1000
+      value: 0.122
+    - type: precision_at_3
+      value: 14.979999999999999
+    - type: precision_at_5
+      value: 10.306999999999999
+    - type: recall_at_1
+      value: 25.102999999999998
+    - type: recall_at_10
+      value: 50.924
+    - type: recall_at_100
+      value: 72.507
+    - type: recall_at_1000
+      value: 89.869
+    - type: recall_at_3
+      value: 38.041000000000004
+    - type: recall_at_5
+      value: 43.139
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.284000000000002
+    - type: map_at_10
+      value: 27.632
+    - type: map_at_100
+      value: 28.811999999999998
+    - type: map_at_1000
+      value: 28.937
+    - type: map_at_3
+      value: 24.884
+    - type: map_at_5
+      value: 26.479999999999997
+    - type: mrr_at_1
+      value: 23.641000000000002
+    - type: mrr_at_10
+      value: 31.716
+    - type: mrr_at_100
+      value: 32.644
+    - type: mrr_at_1000
+      value: 32.717
+    - type: mrr_at_3
+      value: 29.284
+    - type: mrr_at_5
+      value: 30.697000000000003
+    - type: ndcg_at_1
+      value: 23.641000000000002
+    - type: ndcg_at_10
+      value: 32.805
+    - type: ndcg_at_100
+      value: 38.229
+    - type: ndcg_at_1000
+      value: 40.938
+    - type: ndcg_at_3
+      value: 28.116999999999997
+    - type: ndcg_at_5
+      value: 30.442999999999998
+    - type: precision_at_1
+      value: 23.641000000000002
+    - type: precision_at_10
+      value: 6.05
+    - type: precision_at_100
+      value: 1.0250000000000001
+    - type: precision_at_1000
+      value: 0.14400000000000002
+    - type: precision_at_3
+      value: 13.478000000000002
+    - type: precision_at_5
+      value: 9.876
+    - type: recall_at_1
+      value: 19.284000000000002
+    - type: recall_at_10
+      value: 44.257999999999996
+    - type: recall_at_100
+      value: 68.475
+    - type: recall_at_1000
+      value: 87.362
+    - type: recall_at_3
+      value: 31.09
+    - type: recall_at_5
+      value: 37.13
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.301000000000002
+    - type: map_at_10
+      value: 40.65
+    - type: map_at_100
+      value: 41.934
+    - type: map_at_1000
+      value: 42.025
+    - type: map_at_3
+      value: 37.482
+    - type: map_at_5
+      value: 39.364
+    - type: mrr_at_1
+      value: 35.728
+    - type: mrr_at_10
+      value: 44.836999999999996
+    - type: mrr_at_100
+      value: 45.747
+    - type: mrr_at_1000
+      value: 45.800000000000004
+    - type: mrr_at_3
+      value: 42.335
+    - type: mrr_at_5
+      value: 43.818
+    - type: ndcg_at_1
+      value: 35.728
+    - type: ndcg_at_10
+      value: 46.199
+    - type: ndcg_at_100
+      value: 51.721
+    - type: ndcg_at_1000
+      value: 53.751000000000005
+    - type: ndcg_at_3
+      value: 41.053
+    - type: ndcg_at_5
+      value: 43.686
+    - type: precision_at_1
+      value: 35.728
+    - type: precision_at_10
+      value: 7.836
+    - type: precision_at_100
+      value: 1.179
+    - type: precision_at_1000
+      value: 0.146
+    - type: precision_at_3
+      value: 18.781
+    - type: precision_at_5
+      value: 13.245999999999999
+    - type: recall_at_1
+      value: 30.301000000000002
+    - type: recall_at_10
+      value: 58.626999999999995
+    - type: recall_at_100
+      value: 82.245
+    - type: recall_at_1000
+      value: 96.177
+    - type: recall_at_3
+      value: 44.533
+    - type: recall_at_5
+      value: 51.449
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 29.203000000000003
+    - type: map_at_10
+      value: 38.988
+    - type: map_at_100
+      value: 40.986
+    - type: map_at_1000
+      value: 41.198
+    - type: map_at_3
+      value: 36.069
+    - type: map_at_5
+      value: 37.547000000000004
+    - type: mrr_at_1
+      value: 35.178
+    - type: mrr_at_10
+      value: 43.858999999999995
+    - type: mrr_at_100
+      value: 44.938
+    - type: mrr_at_1000
+      value: 44.986
+    - type: mrr_at_3
+      value: 41.535
+    - type: mrr_at_5
+      value: 42.809999999999995
+    - type: ndcg_at_1
+      value: 35.178
+    - type: ndcg_at_10
+      value: 45.025
+    - type: ndcg_at_100
+      value: 51.397999999999996
+    - type: ndcg_at_1000
+      value: 53.419000000000004
+    - type: ndcg_at_3
+      value: 40.451
+    - type: ndcg_at_5
+      value: 42.304
+    - type: precision_at_1
+      value: 35.178
+    - type: precision_at_10
+      value: 8.538
+    - type: precision_at_100
+      value: 1.755
+    - type: precision_at_1000
+      value: 0.249
+    - type: precision_at_3
+      value: 18.906
+    - type: precision_at_5
+      value: 13.241
+    - type: recall_at_1
+      value: 29.203000000000003
+    - type: recall_at_10
+      value: 55.876999999999995
+    - type: recall_at_100
+      value: 83.234
+    - type: recall_at_1000
+      value: 96.056
+    - type: recall_at_3
+      value: 42.472
+    - type: recall_at_5
+      value: 47.78
+  - task:
+      type: Retrieval
+    dataset:
+      type: cqadupstack/wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.202
+    - type: map_at_10
+      value: 32.021
+    - type: map_at_100
+      value: 33.217999999999996
+    - type: map_at_1000
+      value: 33.323
+    - type: map_at_3
+      value: 29.359
+    - type: map_at_5
+      value: 30.792
+    - type: mrr_at_1
+      value: 26.802
+    - type: mrr_at_10
+      value: 34.577999999999996
+    - type: mrr_at_100
+      value: 35.65
+    - type: mrr_at_1000
+      value: 35.724000000000004
+    - type: mrr_at_3
+      value: 32.286
+    - type: mrr_at_5
+      value: 33.506
+    - type: ndcg_at_1
+      value: 26.802
+    - type: ndcg_at_10
+      value: 36.882999999999996
+    - type: ndcg_at_100
+      value: 42.321
+    - type: ndcg_at_1000
+      value: 44.906
+    - type: ndcg_at_3
+      value: 31.804
+    - type: ndcg_at_5
+      value: 34.098
+    - type: precision_at_1
+      value: 26.802
+    - type: precision_at_10
+      value: 5.7860000000000005
+    - type: precision_at_100
+      value: 0.9079999999999999
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 13.494
+    - type: precision_at_5
+      value: 9.464
+    - type: recall_at_1
+      value: 24.202
+    - type: recall_at_10
+      value: 49.516
+    - type: recall_at_100
+      value: 73.839
+    - type: recall_at_1000
+      value: 92.995
+    - type: recall_at_3
+      value: 35.502
+    - type: recall_at_5
+      value: 41.183
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 12.651000000000002
+    - type: map_at_10
+      value: 21.773
+    - type: map_at_100
+      value: 23.901
+    - type: map_at_1000
+      value: 24.096999999999998
+    - type: map_at_3
+      value: 18.012
+    - type: map_at_5
+      value: 19.979
+    - type: mrr_at_1
+      value: 28.143
+    - type: mrr_at_10
+      value: 40.772999999999996
+    - type: mrr_at_100
+      value: 41.735
+    - type: mrr_at_1000
+      value: 41.768
+    - type: mrr_at_3
+      value: 37.458999999999996
+    - type: mrr_at_5
+      value: 39.528
+    - type: ndcg_at_1
+      value: 28.143
+    - type: ndcg_at_10
+      value: 30.705
+    - type: ndcg_at_100
+      value: 38.554
+    - type: ndcg_at_1000
+      value: 41.846
+    - type: ndcg_at_3
+      value: 24.954
+    - type: ndcg_at_5
+      value: 27.12
+    - type: precision_at_1
+      value: 28.143
+    - type: precision_at_10
+      value: 9.622
+    - type: precision_at_100
+      value: 1.8030000000000002
+    - type: precision_at_1000
+      value: 0.242
+    - type: precision_at_3
+      value: 18.654
+    - type: precision_at_5
+      value: 14.567
+    - type: recall_at_1
+      value: 12.651000000000002
+    - type: recall_at_10
+      value: 37.24
+    - type: recall_at_100
+      value: 63.660000000000004
+    - type: recall_at_1000
+      value: 81.878
+    - type: recall_at_3
+      value: 23.205000000000002
+    - type: recall_at_5
+      value: 29.081000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.075000000000001
+    - type: map_at_10
+      value: 23.344
+    - type: map_at_100
+      value: 33.219
+    - type: map_at_1000
+      value: 35.165
+    - type: map_at_3
+      value: 15.857
+    - type: map_at_5
+      value: 19.195999999999998
+    - type: mrr_at_1
+      value: 74.5
+    - type: mrr_at_10
+      value: 81.056
+    - type: mrr_at_100
+      value: 81.281
+    - type: mrr_at_1000
+      value: 81.285
+    - type: mrr_at_3
+      value: 79.667
+    - type: mrr_at_5
+      value: 80.529
+    - type: ndcg_at_1
+      value: 62.125
+    - type: ndcg_at_10
+      value: 48.416
+    - type: ndcg_at_100
+      value: 52.842999999999996
+    - type: ndcg_at_1000
+      value: 60.318000000000005
+    - type: ndcg_at_3
+      value: 52.381
+    - type: ndcg_at_5
+      value: 50.439
+    - type: precision_at_1
+      value: 74.5
+    - type: precision_at_10
+      value: 38.975
+    - type: precision_at_100
+      value: 12.046999999999999
+    - type: precision_at_1000
+      value: 2.3369999999999997
+    - type: precision_at_3
+      value: 55.833
+    - type: precision_at_5
+      value: 49.2
+    - type: recall_at_1
+      value: 10.075000000000001
+    - type: recall_at_10
+      value: 29.470000000000002
+    - type: recall_at_100
+      value: 59.09100000000001
+    - type: recall_at_1000
+      value: 82.555
+    - type: recall_at_3
+      value: 17.058
+    - type: recall_at_5
+      value: 22.148
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 51.70999999999999
+    - type: f1
+      value: 46.808328210555985
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 80.026
+    - type: map_at_10
+      value: 86.856
+    - type: map_at_100
+      value: 87.04899999999999
+    - type: map_at_1000
+      value: 87.062
+    - type: map_at_3
+      value: 85.964
+    - type: map_at_5
+      value: 86.53699999999999
+    - type: mrr_at_1
+      value: 86.169
+    - type: mrr_at_10
+      value: 91.569
+    - type: mrr_at_100
+      value: 91.619
+    - type: mrr_at_1000
+      value: 91.619
+    - type: mrr_at_3
+      value: 91.12700000000001
+    - type: mrr_at_5
+      value: 91.45400000000001
+    - type: ndcg_at_1
+      value: 86.169
+    - type: ndcg_at_10
+      value: 89.92599999999999
+    - type: ndcg_at_100
+      value: 90.565
+    - type: ndcg_at_1000
+      value: 90.762
+    - type: ndcg_at_3
+      value: 88.673
+    - type: ndcg_at_5
+      value: 89.396
+    - type: precision_at_1
+      value: 86.169
+    - type: precision_at_10
+      value: 10.530000000000001
+    - type: precision_at_100
+      value: 1.107
+    - type: precision_at_1000
+      value: 0.11399999999999999
+    - type: precision_at_3
+      value: 33.303
+    - type: precision_at_5
+      value: 20.528
+    - type: recall_at_1
+      value: 80.026
+    - type: recall_at_10
+      value: 94.781
+    - type: recall_at_100
+      value: 97.209
+    - type: recall_at_1000
+      value: 98.38
+    - type: recall_at_3
+      value: 91.34299999999999
+    - type: recall_at_5
+      value: 93.256
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.222
+    - type: map_at_10
+      value: 42.833
+    - type: map_at_100
+      value: 44.935
+    - type: map_at_1000
+      value: 45.079
+    - type: map_at_3
+      value: 37.016
+    - type: map_at_5
+      value: 40.264
+    - type: mrr_at_1
+      value: 50.617000000000004
+    - type: mrr_at_10
+      value: 58.799
+    - type: mrr_at_100
+      value: 59.455999999999996
+    - type: mrr_at_1000
+      value: 59.48
+    - type: mrr_at_3
+      value: 56.172999999999995
+    - type: mrr_at_5
+      value: 57.724
+    - type: ndcg_at_1
+      value: 50.617000000000004
+    - type: ndcg_at_10
+      value: 51.281
+    - type: ndcg_at_100
+      value: 57.922
+    - type: ndcg_at_1000
+      value: 60.141
+    - type: ndcg_at_3
+      value: 46.19
+    - type: ndcg_at_5
+      value: 47.998000000000005
+    - type: precision_at_1
+      value: 50.617000000000004
+    - type: precision_at_10
+      value: 14.321
+    - type: precision_at_100
+      value: 2.136
+    - type: precision_at_1000
+      value: 0.253
+    - type: precision_at_3
+      value: 30.503999999999998
+    - type: precision_at_5
+      value: 22.685
+    - type: recall_at_1
+      value: 26.222
+    - type: recall_at_10
+      value: 59.241
+    - type: recall_at_100
+      value: 83.102
+    - type: recall_at_1000
+      value: 96.318
+    - type: recall_at_3
+      value: 41.461999999999996
+    - type: recall_at_5
+      value: 49.389
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 38.379000000000005
+    - type: map_at_10
+      value: 65.397
+    - type: map_at_100
+      value: 66.347
+    - type: map_at_1000
+      value: 66.39699999999999
+    - type: map_at_3
+      value: 61.637
+    - type: map_at_5
+      value: 63.966
+    - type: mrr_at_1
+      value: 76.77199999999999
+    - type: mrr_at_10
+      value: 82.797
+    - type: mrr_at_100
+      value: 83.011
+    - type: mrr_at_1000
+      value: 83.018
+    - type: mrr_at_3
+      value: 81.711
+    - type: mrr_at_5
+      value: 82.405
+    - type: ndcg_at_1
+      value: 76.759
+    - type: ndcg_at_10
+      value: 72.987
+    - type: ndcg_at_100
+      value: 76.209
+    - type: ndcg_at_1000
+      value: 77.137
+    - type: ndcg_at_3
+      value: 67.655
+    - type: ndcg_at_5
+      value: 70.6
+    - type: precision_at_1
+      value: 76.759
+    - type: precision_at_10
+      value: 15.645000000000001
+    - type: precision_at_100
+      value: 1.813
+    - type: precision_at_1000
+      value: 0.193
+    - type: precision_at_3
+      value: 44.299
+    - type: precision_at_5
+      value: 28.902
+    - type: recall_at_1
+      value: 38.379000000000005
+    - type: recall_at_10
+      value: 78.224
+    - type: recall_at_100
+      value: 90.628
+    - type: recall_at_1000
+      value: 96.691
+    - type: recall_at_3
+      value: 66.448
+    - type: recall_at_5
+      value: 72.255
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 85.77920000000002
+    - type: ap
+      value: 81.04289405069312
+    - type: f1
+      value: 85.73430221016837
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.178
+    - type: map_at_10
+      value: 34.122
+    - type: map_at_100
+      value: 35.337
+    - type: map_at_1000
+      value: 35.38
+    - type: map_at_3
+      value: 29.933
+    - type: map_at_5
+      value: 32.342999999999996
+    - type: mrr_at_1
+      value: 21.791
+    - type: mrr_at_10
+      value: 34.681
+    - type: mrr_at_100
+      value: 35.832
+    - type: mrr_at_1000
+      value: 35.869
+    - type: mrr_at_3
+      value: 30.592000000000002
+    - type: mrr_at_5
+      value: 32.946999999999996
+    - type: ndcg_at_1
+      value: 21.791
+    - type: ndcg_at_10
+      value: 41.455
+    - type: ndcg_at_100
+      value: 47.25
+    - type: ndcg_at_1000
+      value: 48.307
+    - type: ndcg_at_3
+      value: 32.963
+    - type: ndcg_at_5
+      value: 37.238
+    - type: precision_at_1
+      value: 21.791
+    - type: precision_at_10
+      value: 6.701
+    - type: precision_at_100
+      value: 0.96
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 14.202
+    - type: precision_at_5
+      value: 10.693
+    - type: recall_at_1
+      value: 21.178
+    - type: recall_at_10
+      value: 64.13
+    - type: recall_at_100
+      value: 90.793
+    - type: recall_at_1000
+      value: 98.817
+    - type: recall_at_3
+      value: 41.08
+    - type: recall_at_5
+      value: 51.312999999999995
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 95.56543547651619
+    - type: f1
+      value: 95.18113603357101
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 82.81121751025992
+    - type: f1
+      value: 68.10945432103077
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 78.05985205110962
+    - type: f1
+      value: 75.94480942195571
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 81.3483523873571
+    - type: f1
+      value: 81.12756796889384
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 32.22549249333914
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 31.367740973522007
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.341185395073968
+    - type: mrr
+      value: 32.38730713652477
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.02
+    - type: map_at_10
+      value: 15.265999999999998
+    - type: map_at_100
+      value: 19.737
+    - type: map_at_1000
+      value: 21.468
+    - type: map_at_3
+      value: 10.929
+    - type: map_at_5
+      value: 12.839999999999998
+    - type: mrr_at_1
+      value: 50.464
+    - type: mrr_at_10
+      value: 59.622
+    - type: mrr_at_100
+      value: 60.028999999999996
+    - type: mrr_at_1000
+      value: 60.06700000000001
+    - type: mrr_at_3
+      value: 57.018
+    - type: mrr_at_5
+      value: 58.550000000000004
+    - type: ndcg_at_1
+      value: 49.226
+    - type: ndcg_at_10
+      value: 40.329
+    - type: ndcg_at_100
+      value: 37.002
+    - type: ndcg_at_1000
+      value: 45.781
+    - type: ndcg_at_3
+      value: 45.165
+    - type: ndcg_at_5
+      value: 43.241
+    - type: precision_at_1
+      value: 50.464
+    - type: precision_at_10
+      value: 30.372
+    - type: precision_at_100
+      value: 9.663
+    - type: precision_at_1000
+      value: 2.305
+    - type: precision_at_3
+      value: 42.208
+    - type: precision_at_5
+      value: 37.771
+    - type: recall_at_1
+      value: 6.02
+    - type: recall_at_10
+      value: 20.48
+    - type: recall_at_100
+      value: 37.554
+    - type: recall_at_1000
+      value: 68.953
+    - type: recall_at_3
+      value: 12.353
+    - type: recall_at_5
+      value: 15.497
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 36.073
+    - type: map_at_10
+      value: 53.227999999999994
+    - type: map_at_100
+      value: 54.13400000000001
+    - type: map_at_1000
+      value: 54.147999999999996
+    - type: map_at_3
+      value: 48.861
+    - type: map_at_5
+      value: 51.473
+    - type: mrr_at_1
+      value: 40.701
+    - type: mrr_at_10
+      value: 55.667
+    - type: mrr_at_100
+      value: 56.306
+    - type: mrr_at_1000
+      value: 56.315000000000005
+    - type: mrr_at_3
+      value: 52.245
+    - type: mrr_at_5
+      value: 54.39000000000001
+    - type: ndcg_at_1
+      value: 40.701
+    - type: ndcg_at_10
+      value: 61.244
+    - type: ndcg_at_100
+      value: 64.767
+    - type: ndcg_at_1000
+      value: 65.031
+    - type: ndcg_at_3
+      value: 53.248
+    - type: ndcg_at_5
+      value: 57.538999999999994
+    - type: precision_at_1
+      value: 40.701
+    - type: precision_at_10
+      value: 9.93
+    - type: precision_at_100
+      value: 1.187
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 24.343
+    - type: precision_at_5
+      value: 17.092
+    - type: recall_at_1
+      value: 36.073
+    - type: recall_at_10
+      value: 83.017
+    - type: recall_at_100
+      value: 97.762
+    - type: recall_at_1000
+      value: 99.614
+    - type: recall_at_3
+      value: 62.529
+    - type: recall_at_5
+      value: 72.361
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 66.678
+    - type: map_at_10
+      value: 81.26100000000001
+    - type: map_at_100
+      value: 81.972
+    - type: map_at_1000
+      value: 81.987
+    - type: map_at_3
+      value: 78.05199999999999
+    - type: map_at_5
+      value: 80.01599999999999
+    - type: mrr_at_1
+      value: 76.73
+    - type: mrr_at_10
+      value: 84.178
+    - type: mrr_at_100
+      value: 84.31
+    - type: mrr_at_1000
+      value: 84.311
+    - type: mrr_at_3
+      value: 82.91
+    - type: mrr_at_5
+      value: 83.75399999999999
+    - type: ndcg_at_1
+      value: 76.73
+    - type: ndcg_at_10
+      value: 85.59
+    - type: ndcg_at_100
+      value: 87.041
+    - type: ndcg_at_1000
+      value: 87.141
+    - type: ndcg_at_3
+      value: 82.122
+    - type: ndcg_at_5
+      value: 83.975
+    - type: precision_at_1
+      value: 76.73
+    - type: precision_at_10
+      value: 13.241
+    - type: precision_at_100
+      value: 1.537
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 36.233
+    - type: precision_at_5
+      value: 23.988
+    - type: recall_at_1
+      value: 66.678
+    - type: recall_at_10
+      value: 94.512
+    - type: recall_at_100
+      value: 99.516
+    - type: recall_at_1000
+      value: 99.995
+    - type: recall_at_3
+      value: 84.77900000000001
+    - type: recall_at_5
+      value: 89.89399999999999
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 61.0961342812016
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 64.523271835229
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.7379999999999995
+    - type: map_at_10
+      value: 12.540999999999999
+    - type: map_at_100
+      value: 15.012
+    - type: map_at_1000
+      value: 15.339
+    - type: map_at_3
+      value: 8.809000000000001
+    - type: map_at_5
+      value: 10.774000000000001
+    - type: mrr_at_1
+      value: 23.400000000000002
+    - type: mrr_at_10
+      value: 35.175
+    - type: mrr_at_100
+      value: 36.345
+    - type: mrr_at_1000
+      value: 36.393
+    - type: mrr_at_3
+      value: 31.867
+    - type: mrr_at_5
+      value: 33.742
+    - type: ndcg_at_1
+      value: 23.400000000000002
+    - type: ndcg_at_10
+      value: 21.05
+    - type: ndcg_at_100
+      value: 30.087999999999997
+    - type: ndcg_at_1000
+      value: 35.421
+    - type: ndcg_at_3
+      value: 19.819
+    - type: ndcg_at_5
+      value: 17.576
+    - type: precision_at_1
+      value: 23.400000000000002
+    - type: precision_at_10
+      value: 11.01
+    - type: precision_at_100
+      value: 2.393
+    - type: precision_at_1000
+      value: 0.367
+    - type: precision_at_3
+      value: 18.767
+    - type: precision_at_5
+      value: 15.72
+    - type: recall_at_1
+      value: 4.7379999999999995
+    - type: recall_at_10
+      value: 22.343
+    - type: recall_at_100
+      value: 48.545
+    - type: recall_at_1000
+      value: 74.422
+    - type: recall_at_3
+      value: 11.428
+    - type: recall_at_5
+      value: 15.952
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_spearman
+      value: 83.00728009929533
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_spearman
+      value: 78.85484854952163
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_spearman
+      value: 86.84017260596792
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_spearman
+      value: 84.04244912638237
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_spearman
+      value: 88.71661848841296
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_spearman
+      value: 86.79243876108002
+  - 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: 90.63340320875899
+  - 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: 67.55467310427919
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_spearman
+      value: 88.7218677688666
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 84.03370829809433
+    - type: mrr
+      value: 95.8981740844486
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 61.594
+    - type: map_at_10
+      value: 72.482
+    - type: map_at_100
+      value: 72.89
+    - type: map_at_1000
+      value: 72.905
+    - type: map_at_3
+      value: 69.694
+    - type: map_at_5
+      value: 71.552
+    - type: mrr_at_1
+      value: 64.333
+    - type: mrr_at_10
+      value: 73.449
+    - type: mrr_at_100
+      value: 73.68599999999999
+    - type: mrr_at_1000
+      value: 73.70100000000001
+    - type: mrr_at_3
+      value: 71.5
+    - type: mrr_at_5
+      value: 72.76700000000001
+    - type: ndcg_at_1
+      value: 64.333
+    - type: ndcg_at_10
+      value: 77.304
+    - type: ndcg_at_100
+      value: 78.82400000000001
+    - type: ndcg_at_1000
+      value: 79.143
+    - type: ndcg_at_3
+      value: 72.85000000000001
+    - type: ndcg_at_5
+      value: 75.24
+    - type: precision_at_1
+      value: 64.333
+    - type: precision_at_10
+      value: 10.233
+    - type: precision_at_100
+      value: 1.107
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 28.666999999999998
+    - type: precision_at_5
+      value: 18.933
+    - type: recall_at_1
+      value: 61.594
+    - type: recall_at_10
+      value: 90.967
+    - type: recall_at_100
+      value: 97.667
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 78.889
+    - type: recall_at_5
+      value: 84.678
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.87029702970297
+    - type: cos_sim_ap
+      value: 96.83157940825447
+    - type: cos_sim_f1
+      value: 93.43358395989975
+    - type: cos_sim_precision
+      value: 93.66834170854271
+    - type: cos_sim_recall
+      value: 93.2
+    - type: dot_accuracy
+      value: 99.74059405940594
+    - type: dot_ap
+      value: 92.64621145397966
+    - type: dot_f1
+      value: 86.92614770459082
+    - type: dot_precision
+      value: 86.75298804780877
+    - type: dot_recall
+      value: 87.1
+    - type: euclidean_accuracy
+      value: 99.86336633663366
+    - type: euclidean_ap
+      value: 96.65013202788877
+    - type: euclidean_f1
+      value: 93.05835010060363
+    - type: euclidean_precision
+      value: 93.62348178137651
+    - type: euclidean_recall
+      value: 92.5
+    - type: manhattan_accuracy
+      value: 99.86435643564356
+    - type: manhattan_ap
+      value: 96.66170584513262
+    - type: manhattan_f1
+      value: 93.11903566047214
+    - type: manhattan_precision
+      value: 93.54187689202826
+    - type: manhattan_recall
+      value: 92.7
+    - type: max_accuracy
+      value: 99.87029702970297
+    - type: max_ap
+      value: 96.83157940825447
+    - type: max_f1
+      value: 93.43358395989975
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 67.98137643571387
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 33.203165154741
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 51.023136529441835
+    - type: mrr
+      value: 51.78392379679144
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.996218041439295
+    - type: cos_sim_spearman
+      value: 28.49337441341285
+    - type: dot_pearson
+      value: 28.69511068705681
+    - type: dot_spearman
+      value: 28.738712641821696
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.23500000000000001
+    - type: map_at_10
+      value: 2.07
+    - type: map_at_100
+      value: 13.056999999999999
+    - type: map_at_1000
+      value: 32.87
+    - type: map_at_3
+      value: 0.662
+    - type: map_at_5
+      value: 1.0630000000000002
+    - type: mrr_at_1
+      value: 86.0
+    - type: mrr_at_10
+      value: 91.286
+    - type: mrr_at_100
+      value: 91.286
+    - type: mrr_at_1000
+      value: 91.286
+    - type: mrr_at_3
+      value: 91.0
+    - type: mrr_at_5
+      value: 91.0
+    - type: ndcg_at_1
+      value: 82.0
+    - type: ndcg_at_10
+      value: 79.253
+    - type: ndcg_at_100
+      value: 64.042
+    - type: ndcg_at_1000
+      value: 59.073
+    - type: ndcg_at_3
+      value: 80.235
+    - type: ndcg_at_5
+      value: 79.353
+    - type: precision_at_1
+      value: 86.0
+    - type: precision_at_10
+      value: 84.39999999999999
+    - type: precision_at_100
+      value: 65.92
+    - type: precision_at_1000
+      value: 26.05
+    - type: precision_at_3
+      value: 86.0
+    - type: precision_at_5
+      value: 84.39999999999999
+    - type: recall_at_1
+      value: 0.23500000000000001
+    - type: recall_at_10
+      value: 2.26
+    - type: recall_at_100
+      value: 16.271
+    - type: recall_at_1000
+      value: 56.074999999999996
+    - type: recall_at_3
+      value: 0.694
+    - type: recall_at_5
+      value: 1.1280000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.629
+    - type: map_at_10
+      value: 6.444999999999999
+    - type: map_at_100
+      value: 12.561
+    - type: map_at_1000
+      value: 14.183000000000002
+    - type: map_at_3
+      value: 3.1780000000000004
+    - type: map_at_5
+      value: 4.0649999999999995
+    - type: mrr_at_1
+      value: 20.408
+    - type: mrr_at_10
+      value: 31.601000000000003
+    - type: mrr_at_100
+      value: 33.33
+    - type: mrr_at_1000
+      value: 33.337
+    - type: mrr_at_3
+      value: 27.891
+    - type: mrr_at_5
+      value: 29.626
+    - type: ndcg_at_1
+      value: 19.387999999999998
+    - type: ndcg_at_10
+      value: 16.921
+    - type: ndcg_at_100
+      value: 31.762
+    - type: ndcg_at_1000
+      value: 43.723
+    - type: ndcg_at_3
+      value: 15.834999999999999
+    - type: ndcg_at_5
+      value: 15.158
+    - type: precision_at_1
+      value: 20.408
+    - type: precision_at_10
+      value: 15.714
+    - type: precision_at_100
+      value: 7.306
+    - type: precision_at_1000
+      value: 1.539
+    - type: precision_at_3
+      value: 16.326999999999998
+    - type: precision_at_5
+      value: 15.101999999999999
+    - type: recall_at_1
+      value: 1.629
+    - type: recall_at_10
+      value: 12.283
+    - type: recall_at_100
+      value: 45.867999999999995
+    - type: recall_at_1000
+      value: 83.557
+    - type: recall_at_3
+      value: 3.801
+    - type: recall_at_5
+      value: 5.763
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.01119999999999
+    - type: ap
+      value: 14.776705879525846
+    - type: f1
+      value: 54.96628145160803
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 61.114883984153934
+    - type: f1
+      value: 61.250947755016604
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 51.03991134069674
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.13256243666925
+    - type: cos_sim_ap
+      value: 80.69819368353635
+    - type: cos_sim_f1
+      value: 73.49014621741895
+    - type: cos_sim_precision
+      value: 70.920245398773
+    - type: cos_sim_recall
+      value: 76.2532981530343
+    - type: dot_accuracy
+      value: 86.08809679918936
+    - type: dot_ap
+      value: 74.41500765551534
+    - type: dot_f1
+      value: 69.3204365079365
+    - type: dot_precision
+      value: 65.39541413196069
+    - type: dot_recall
+      value: 73.7467018469657
+    - type: euclidean_accuracy
+      value: 88.15640460153782
+    - type: euclidean_ap
+      value: 80.31937915172527
+    - type: euclidean_f1
+      value: 73.57214428857716
+    - type: euclidean_precision
+      value: 70.02861230329042
+    - type: euclidean_recall
+      value: 77.4934036939314
+    - type: manhattan_accuracy
+      value: 88.15044406032068
+    - type: manhattan_ap
+      value: 80.30776043635841
+    - type: manhattan_f1
+      value: 73.54741971760589
+    - type: manhattan_precision
+      value: 69.85521006408734
+    - type: manhattan_recall
+      value: 77.65171503957784
+    - type: max_accuracy
+      value: 88.15640460153782
+    - type: max_ap
+      value: 80.69819368353635
+    - type: max_f1
+      value: 73.57214428857716
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 89.37982691038926
+    - type: cos_sim_ap
+      value: 86.5585074386676
+    - type: cos_sim_f1
+      value: 79.1182953710507
+    - type: cos_sim_precision
+      value: 75.66048341765037
+    - type: cos_sim_recall
+      value: 82.90729904527257
+    - type: dot_accuracy
+      value: 87.75177552683665
+    - type: dot_ap
+      value: 82.73501819446388
+    - type: dot_f1
+      value: 76.31569570639587
+    - type: dot_precision
+      value: 71.02871924122837
+    - type: dot_recall
+      value: 82.45303356944872
+    - type: euclidean_accuracy
+      value: 89.30220825086352
+    - type: euclidean_ap
+      value: 86.43839637395196
+    - type: euclidean_f1
+      value: 79.12071479307637
+    - type: euclidean_precision
+      value: 76.89848121502799
+    - type: euclidean_recall
+      value: 81.4752078842008
+    - type: manhattan_accuracy
+      value: 89.30997011681609
+    - type: manhattan_ap
+      value: 86.43582668119362
+    - type: manhattan_f1
+      value: 79.11144297181258
+    - type: manhattan_precision
+      value: 76.79205624411104
+    - type: manhattan_recall
+      value: 81.57530027717893
+    - type: max_accuracy
+      value: 89.37982691038926
+    - type: max_ap
+      value: 86.5585074386676
+    - type: max_f1
+      value: 79.12071479307637
 ---
 
 # LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders