Update README.md

README.md

@@ -4,6 +4,2602 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
+- mteb
+model-index:
+- name: bge-base-en-v1.5
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 76.14925373134328
+    - type: ap
+      value: 39.32336517995478
+    - type: f1
+      value: 70.16902252611425
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 93.386825
+    - type: ap
+      value: 90.21276917991995
+    - type: f1
+      value: 93.37741030006174
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 48.846000000000004
+    - type: f1
+      value: 48.14646269778261
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.754000000000005
+    - type: map_at_10
+      value: 55.761
+    - type: map_at_100
+      value: 56.330999999999996
+    - type: map_at_1000
+      value: 56.333999999999996
+    - type: map_at_3
+      value: 51.92
+    - type: map_at_5
+      value: 54.010999999999996
+    - type: mrr_at_1
+      value: 41.181
+    - type: mrr_at_10
+      value: 55.967999999999996
+    - type: mrr_at_100
+      value: 56.538
+    - type: mrr_at_1000
+      value: 56.542
+    - type: mrr_at_3
+      value: 51.980000000000004
+    - type: mrr_at_5
+      value: 54.208999999999996
+    - type: ndcg_at_1
+      value: 40.754000000000005
+    - type: ndcg_at_10
+      value: 63.605000000000004
+    - type: ndcg_at_100
+      value: 66.05199999999999
+    - type: ndcg_at_1000
+      value: 66.12
+    - type: ndcg_at_3
+      value: 55.708
+    - type: ndcg_at_5
+      value: 59.452000000000005
+    - type: precision_at_1
+      value: 40.754000000000005
+    - type: precision_at_10
+      value: 8.841000000000001
+    - type: precision_at_100
+      value: 0.991
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 22.238
+    - type: precision_at_5
+      value: 15.149000000000001
+    - type: recall_at_1
+      value: 40.754000000000005
+    - type: recall_at_10
+      value: 88.407
+    - type: recall_at_100
+      value: 99.14699999999999
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 66.714
+    - type: recall_at_5
+      value: 75.747
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 48.74884539679369
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 42.8075893810716
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 62.128470519187736
+    - type: mrr
+      value: 74.28065778481289
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 89.24629081484655
+    - type: cos_sim_spearman
+      value: 86.93752309911496
+    - type: euclidean_pearson
+      value: 87.58589628573816
+    - type: euclidean_spearman
+      value: 88.05622328825284
+    - type: manhattan_pearson
+      value: 87.5594959805773
+    - type: manhattan_spearman
+      value: 88.19658793233961
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 86.9512987012987
+    - type: f1
+      value: 86.92515357973708
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 39.10263762928872
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 36.69711517426737
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.327
+    - type: map_at_10
+      value: 44.099
+    - type: map_at_100
+      value: 45.525
+    - type: map_at_1000
+      value: 45.641999999999996
+    - type: map_at_3
+      value: 40.47
+    - type: map_at_5
+      value: 42.36
+    - type: mrr_at_1
+      value: 39.199
+    - type: mrr_at_10
+      value: 49.651
+    - type: mrr_at_100
+      value: 50.29
+    - type: mrr_at_1000
+      value: 50.329
+    - type: mrr_at_3
+      value: 46.924
+    - type: mrr_at_5
+      value: 48.548
+    - type: ndcg_at_1
+      value: 39.199
+    - type: ndcg_at_10
+      value: 50.773
+    - type: ndcg_at_100
+      value: 55.67999999999999
+    - type: ndcg_at_1000
+      value: 57.495
+    - type: ndcg_at_3
+      value: 45.513999999999996
+    - type: ndcg_at_5
+      value: 47.703
+    - type: precision_at_1
+      value: 39.199
+    - type: precision_at_10
+      value: 9.914000000000001
+    - type: precision_at_100
+      value: 1.5310000000000001
+    - type: precision_at_1000
+      value: 0.198
+    - type: precision_at_3
+      value: 21.984
+    - type: precision_at_5
+      value: 15.737000000000002
+    - type: recall_at_1
+      value: 32.327
+    - type: recall_at_10
+      value: 63.743
+    - type: recall_at_100
+      value: 84.538
+    - type: recall_at_1000
+      value: 96.089
+    - type: recall_at_3
+      value: 48.065000000000005
+    - type: recall_at_5
+      value: 54.519
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.671
+    - type: map_at_10
+      value: 42.954
+    - type: map_at_100
+      value: 44.151
+    - type: map_at_1000
+      value: 44.287
+    - type: map_at_3
+      value: 39.912
+    - type: map_at_5
+      value: 41.798
+    - type: mrr_at_1
+      value: 41.465
+    - type: mrr_at_10
+      value: 49.351
+    - type: mrr_at_100
+      value: 49.980000000000004
+    - type: mrr_at_1000
+      value: 50.016000000000005
+    - type: mrr_at_3
+      value: 47.144000000000005
+    - type: mrr_at_5
+      value: 48.592999999999996
+    - type: ndcg_at_1
+      value: 41.465
+    - type: ndcg_at_10
+      value: 48.565999999999995
+    - type: ndcg_at_100
+      value: 52.76499999999999
+    - type: ndcg_at_1000
+      value: 54.749
+    - type: ndcg_at_3
+      value: 44.57
+    - type: ndcg_at_5
+      value: 46.759
+    - type: precision_at_1
+      value: 41.465
+    - type: precision_at_10
+      value: 9.107999999999999
+    - type: precision_at_100
+      value: 1.433
+    - type: precision_at_1000
+      value: 0.191
+    - type: precision_at_3
+      value: 21.423000000000002
+    - type: precision_at_5
+      value: 15.414
+    - type: recall_at_1
+      value: 32.671
+    - type: recall_at_10
+      value: 57.738
+    - type: recall_at_100
+      value: 75.86500000000001
+    - type: recall_at_1000
+      value: 88.36
+    - type: recall_at_3
+      value: 45.626
+    - type: recall_at_5
+      value: 51.812000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.185
+    - type: map_at_10
+      value: 53.929
+    - type: map_at_100
+      value: 54.92
+    - type: map_at_1000
+      value: 54.967999999999996
+    - type: map_at_3
+      value: 50.70400000000001
+    - type: map_at_5
+      value: 52.673
+    - type: mrr_at_1
+      value: 47.398
+    - type: mrr_at_10
+      value: 57.303000000000004
+    - type: mrr_at_100
+      value: 57.959
+    - type: mrr_at_1000
+      value: 57.985
+    - type: mrr_at_3
+      value: 54.932
+    - type: mrr_at_5
+      value: 56.464999999999996
+    - type: ndcg_at_1
+      value: 47.398
+    - type: ndcg_at_10
+      value: 59.653
+    - type: ndcg_at_100
+      value: 63.627
+    - type: ndcg_at_1000
+      value: 64.596
+    - type: ndcg_at_3
+      value: 54.455
+    - type: ndcg_at_5
+      value: 57.245000000000005
+    - type: precision_at_1
+      value: 47.398
+    - type: precision_at_10
+      value: 9.524000000000001
+    - type: precision_at_100
+      value: 1.243
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 24.389
+    - type: precision_at_5
+      value: 16.752
+    - type: recall_at_1
+      value: 41.185
+    - type: recall_at_10
+      value: 73.193
+    - type: recall_at_100
+      value: 90.357
+    - type: recall_at_1000
+      value: 97.253
+    - type: recall_at_3
+      value: 59.199999999999996
+    - type: recall_at_5
+      value: 66.118
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.27
+    - type: map_at_10
+      value: 36.223
+    - type: map_at_100
+      value: 37.218
+    - type: map_at_1000
+      value: 37.293
+    - type: map_at_3
+      value: 33.503
+    - type: map_at_5
+      value: 35.097
+    - type: mrr_at_1
+      value: 29.492
+    - type: mrr_at_10
+      value: 38.352000000000004
+    - type: mrr_at_100
+      value: 39.188
+    - type: mrr_at_1000
+      value: 39.247
+    - type: mrr_at_3
+      value: 35.876000000000005
+    - type: mrr_at_5
+      value: 37.401
+    - type: ndcg_at_1
+      value: 29.492
+    - type: ndcg_at_10
+      value: 41.239
+    - type: ndcg_at_100
+      value: 46.066
+    - type: ndcg_at_1000
+      value: 47.992000000000004
+    - type: ndcg_at_3
+      value: 36.11
+    - type: ndcg_at_5
+      value: 38.772
+    - type: precision_at_1
+      value: 29.492
+    - type: precision_at_10
+      value: 6.260000000000001
+    - type: precision_at_100
+      value: 0.914
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 15.104000000000001
+    - type: precision_at_5
+      value: 10.644
+    - type: recall_at_1
+      value: 27.27
+    - type: recall_at_10
+      value: 54.589
+    - type: recall_at_100
+      value: 76.70700000000001
+    - type: recall_at_1000
+      value: 91.158
+    - type: recall_at_3
+      value: 40.974
+    - type: recall_at_5
+      value: 47.327000000000005
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.848
+    - type: map_at_10
+      value: 26.207
+    - type: map_at_100
+      value: 27.478
+    - type: map_at_1000
+      value: 27.602
+    - type: map_at_3
+      value: 23.405
+    - type: map_at_5
+      value: 24.98
+    - type: mrr_at_1
+      value: 21.891
+    - type: mrr_at_10
+      value: 31.041999999999998
+    - type: mrr_at_100
+      value: 32.092
+    - type: mrr_at_1000
+      value: 32.151999999999994
+    - type: mrr_at_3
+      value: 28.358
+    - type: mrr_at_5
+      value: 29.969
+    - type: ndcg_at_1
+      value: 21.891
+    - type: ndcg_at_10
+      value: 31.585
+    - type: ndcg_at_100
+      value: 37.531
+    - type: ndcg_at_1000
+      value: 40.256
+    - type: ndcg_at_3
+      value: 26.508
+    - type: ndcg_at_5
+      value: 28.894
+    - type: precision_at_1
+      value: 21.891
+    - type: precision_at_10
+      value: 5.795999999999999
+    - type: precision_at_100
+      value: 0.9990000000000001
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 12.769
+    - type: precision_at_5
+      value: 9.279
+    - type: recall_at_1
+      value: 17.848
+    - type: recall_at_10
+      value: 43.452
+    - type: recall_at_100
+      value: 69.216
+    - type: recall_at_1000
+      value: 88.102
+    - type: recall_at_3
+      value: 29.18
+    - type: recall_at_5
+      value: 35.347
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.94
+    - type: map_at_10
+      value: 41.248000000000005
+    - type: map_at_100
+      value: 42.495
+    - type: map_at_1000
+      value: 42.602000000000004
+    - type: map_at_3
+      value: 37.939
+    - type: map_at_5
+      value: 39.924
+    - type: mrr_at_1
+      value: 37.824999999999996
+    - type: mrr_at_10
+      value: 47.041
+    - type: mrr_at_100
+      value: 47.83
+    - type: mrr_at_1000
+      value: 47.878
+    - type: mrr_at_3
+      value: 44.466
+    - type: mrr_at_5
+      value: 46.111999999999995
+    - type: ndcg_at_1
+      value: 37.824999999999996
+    - type: ndcg_at_10
+      value: 47.223
+    - type: ndcg_at_100
+      value: 52.394
+    - type: ndcg_at_1000
+      value: 54.432
+    - type: ndcg_at_3
+      value: 42.032000000000004
+    - type: ndcg_at_5
+      value: 44.772
+    - type: precision_at_1
+      value: 37.824999999999996
+    - type: precision_at_10
+      value: 8.393
+    - type: precision_at_100
+      value: 1.2890000000000001
+    - type: precision_at_1000
+      value: 0.164
+    - type: precision_at_3
+      value: 19.698
+    - type: precision_at_5
+      value: 14.013
+    - type: recall_at_1
+      value: 30.94
+    - type: recall_at_10
+      value: 59.316
+    - type: recall_at_100
+      value: 80.783
+    - type: recall_at_1000
+      value: 94.15400000000001
+    - type: recall_at_3
+      value: 44.712
+    - type: recall_at_5
+      value: 51.932
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.104
+    - type: map_at_10
+      value: 36.675999999999995
+    - type: map_at_100
+      value: 38.076
+    - type: map_at_1000
+      value: 38.189
+    - type: map_at_3
+      value: 33.733999999999995
+    - type: map_at_5
+      value: 35.287
+    - type: mrr_at_1
+      value: 33.904
+    - type: mrr_at_10
+      value: 42.55
+    - type: mrr_at_100
+      value: 43.434
+    - type: mrr_at_1000
+      value: 43.494
+    - type: mrr_at_3
+      value: 40.126
+    - type: mrr_at_5
+      value: 41.473
+    - type: ndcg_at_1
+      value: 33.904
+    - type: ndcg_at_10
+      value: 42.414
+    - type: ndcg_at_100
+      value: 48.203
+    - type: ndcg_at_1000
+      value: 50.437
+    - type: ndcg_at_3
+      value: 37.633
+    - type: ndcg_at_5
+      value: 39.67
+    - type: precision_at_1
+      value: 33.904
+    - type: precision_at_10
+      value: 7.82
+    - type: precision_at_100
+      value: 1.2409999999999999
+    - type: precision_at_1000
+      value: 0.159
+    - type: precision_at_3
+      value: 17.884
+    - type: precision_at_5
+      value: 12.648000000000001
+    - type: recall_at_1
+      value: 27.104
+    - type: recall_at_10
+      value: 53.563
+    - type: recall_at_100
+      value: 78.557
+    - type: recall_at_1000
+      value: 93.533
+    - type: recall_at_3
+      value: 39.92
+    - type: recall_at_5
+      value: 45.457
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.707749999999997
+    - type: map_at_10
+      value: 36.961
+    - type: map_at_100
+      value: 38.158833333333334
+    - type: map_at_1000
+      value: 38.270333333333326
+    - type: map_at_3
+      value: 34.07183333333334
+    - type: map_at_5
+      value: 35.69533333333334
+    - type: mrr_at_1
+      value: 32.81875
+    - type: mrr_at_10
+      value: 41.293
+    - type: mrr_at_100
+      value: 42.116499999999995
+    - type: mrr_at_1000
+      value: 42.170249999999996
+    - type: mrr_at_3
+      value: 38.83983333333333
+    - type: mrr_at_5
+      value: 40.29775
+    - type: ndcg_at_1
+      value: 32.81875
+    - type: ndcg_at_10
+      value: 42.355
+    - type: ndcg_at_100
+      value: 47.41374999999999
+    - type: ndcg_at_1000
+      value: 49.5805
+    - type: ndcg_at_3
+      value: 37.52825
+    - type: ndcg_at_5
+      value: 39.83266666666667
+    - type: precision_at_1
+      value: 32.81875
+    - type: precision_at_10
+      value: 7.382416666666666
+    - type: precision_at_100
+      value: 1.1640833333333334
+    - type: precision_at_1000
+      value: 0.15383333333333335
+    - type: precision_at_3
+      value: 17.134166666666665
+    - type: precision_at_5
+      value: 12.174833333333336
+    - type: recall_at_1
+      value: 27.707749999999997
+    - type: recall_at_10
+      value: 53.945
+    - type: recall_at_100
+      value: 76.191
+    - type: recall_at_1000
+      value: 91.101
+    - type: recall_at_3
+      value: 40.39083333333334
+    - type: recall_at_5
+      value: 46.40083333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.482
+    - type: map_at_10
+      value: 33.201
+    - type: map_at_100
+      value: 34.107
+    - type: map_at_1000
+      value: 34.197
+    - type: map_at_3
+      value: 31.174000000000003
+    - type: map_at_5
+      value: 32.279
+    - type: mrr_at_1
+      value: 29.908
+    - type: mrr_at_10
+      value: 36.235
+    - type: mrr_at_100
+      value: 37.04
+    - type: mrr_at_1000
+      value: 37.105
+    - type: mrr_at_3
+      value: 34.355999999999995
+    - type: mrr_at_5
+      value: 35.382999999999996
+    - type: ndcg_at_1
+      value: 29.908
+    - type: ndcg_at_10
+      value: 37.325
+    - type: ndcg_at_100
+      value: 41.795
+    - type: ndcg_at_1000
+      value: 44.105
+    - type: ndcg_at_3
+      value: 33.555
+    - type: ndcg_at_5
+      value: 35.266999999999996
+    - type: precision_at_1
+      value: 29.908
+    - type: precision_at_10
+      value: 5.721
+    - type: precision_at_100
+      value: 0.8630000000000001
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 14.008000000000001
+    - type: precision_at_5
+      value: 9.754999999999999
+    - type: recall_at_1
+      value: 26.482
+    - type: recall_at_10
+      value: 47.072
+    - type: recall_at_100
+      value: 67.27
+    - type: recall_at_1000
+      value: 84.371
+    - type: recall_at_3
+      value: 36.65
+    - type: recall_at_5
+      value: 40.774
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.815
+    - type: map_at_10
+      value: 26.369999999999997
+    - type: map_at_100
+      value: 27.458
+    - type: map_at_1000
+      value: 27.588
+    - type: map_at_3
+      value: 23.990000000000002
+    - type: map_at_5
+      value: 25.345000000000002
+    - type: mrr_at_1
+      value: 22.953000000000003
+    - type: mrr_at_10
+      value: 30.342999999999996
+    - type: mrr_at_100
+      value: 31.241000000000003
+    - type: mrr_at_1000
+      value: 31.319000000000003
+    - type: mrr_at_3
+      value: 28.16
+    - type: mrr_at_5
+      value: 29.406
+    - type: ndcg_at_1
+      value: 22.953000000000003
+    - type: ndcg_at_10
+      value: 31.151
+    - type: ndcg_at_100
+      value: 36.309000000000005
+    - type: ndcg_at_1000
+      value: 39.227000000000004
+    - type: ndcg_at_3
+      value: 26.921
+    - type: ndcg_at_5
+      value: 28.938000000000002
+    - type: precision_at_1
+      value: 22.953000000000003
+    - type: precision_at_10
+      value: 5.602
+    - type: precision_at_100
+      value: 0.9530000000000001
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 12.606
+    - type: precision_at_5
+      value: 9.119
+    - type: recall_at_1
+      value: 18.815
+    - type: recall_at_10
+      value: 41.574
+    - type: recall_at_100
+      value: 64.84400000000001
+    - type: recall_at_1000
+      value: 85.406
+    - type: recall_at_3
+      value: 29.694
+    - type: recall_at_5
+      value: 34.935
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.840999999999998
+    - type: map_at_10
+      value: 36.797999999999995
+    - type: map_at_100
+      value: 37.993
+    - type: map_at_1000
+      value: 38.086999999999996
+    - type: map_at_3
+      value: 34.050999999999995
+    - type: map_at_5
+      value: 35.379
+    - type: mrr_at_1
+      value: 32.649
+    - type: mrr_at_10
+      value: 41.025
+    - type: mrr_at_100
+      value: 41.878
+    - type: mrr_at_1000
+      value: 41.929
+    - type: mrr_at_3
+      value: 38.573
+    - type: mrr_at_5
+      value: 39.715
+    - type: ndcg_at_1
+      value: 32.649
+    - type: ndcg_at_10
+      value: 42.142
+    - type: ndcg_at_100
+      value: 47.558
+    - type: ndcg_at_1000
+      value: 49.643
+    - type: ndcg_at_3
+      value: 37.12
+    - type: ndcg_at_5
+      value: 38.983000000000004
+    - type: precision_at_1
+      value: 32.649
+    - type: precision_at_10
+      value: 7.08
+    - type: precision_at_100
+      value: 1.1039999999999999
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 16.698
+    - type: precision_at_5
+      value: 11.511000000000001
+    - type: recall_at_1
+      value: 27.840999999999998
+    - type: recall_at_10
+      value: 54.245
+    - type: recall_at_100
+      value: 77.947
+    - type: recall_at_1000
+      value: 92.36999999999999
+    - type: recall_at_3
+      value: 40.146
+    - type: recall_at_5
+      value: 44.951
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.529000000000003
+    - type: map_at_10
+      value: 35.010000000000005
+    - type: map_at_100
+      value: 36.647
+    - type: map_at_1000
+      value: 36.857
+    - type: map_at_3
+      value: 31.968000000000004
+    - type: map_at_5
+      value: 33.554
+    - type: mrr_at_1
+      value: 31.818
+    - type: mrr_at_10
+      value: 39.550999999999995
+    - type: mrr_at_100
+      value: 40.54
+    - type: mrr_at_1000
+      value: 40.596
+    - type: mrr_at_3
+      value: 36.726
+    - type: mrr_at_5
+      value: 38.416
+    - type: ndcg_at_1
+      value: 31.818
+    - type: ndcg_at_10
+      value: 40.675
+    - type: ndcg_at_100
+      value: 46.548
+    - type: ndcg_at_1000
+      value: 49.126
+    - type: ndcg_at_3
+      value: 35.829
+    - type: ndcg_at_5
+      value: 38.0
+    - type: precision_at_1
+      value: 31.818
+    - type: precision_at_10
+      value: 7.826
+    - type: precision_at_100
+      value: 1.538
+    - type: precision_at_1000
+      value: 0.24
+    - type: precision_at_3
+      value: 16.601
+    - type: precision_at_5
+      value: 12.095
+    - type: recall_at_1
+      value: 26.529000000000003
+    - type: recall_at_10
+      value: 51.03
+    - type: recall_at_100
+      value: 77.556
+    - type: recall_at_1000
+      value: 93.804
+    - type: recall_at_3
+      value: 36.986000000000004
+    - type: recall_at_5
+      value: 43.096000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.480999999999998
+    - type: map_at_10
+      value: 30.817
+    - type: map_at_100
+      value: 31.838
+    - type: map_at_1000
+      value: 31.932
+    - type: map_at_3
+      value: 28.011999999999997
+    - type: map_at_5
+      value: 29.668
+    - type: mrr_at_1
+      value: 25.323
+    - type: mrr_at_10
+      value: 33.072
+    - type: mrr_at_100
+      value: 33.926
+    - type: mrr_at_1000
+      value: 33.993
+    - type: mrr_at_3
+      value: 30.436999999999998
+    - type: mrr_at_5
+      value: 32.092
+    - type: ndcg_at_1
+      value: 25.323
+    - type: ndcg_at_10
+      value: 35.514
+    - type: ndcg_at_100
+      value: 40.489000000000004
+    - type: ndcg_at_1000
+      value: 42.908
+    - type: ndcg_at_3
+      value: 30.092000000000002
+    - type: ndcg_at_5
+      value: 32.989000000000004
+    - type: precision_at_1
+      value: 25.323
+    - type: precision_at_10
+      value: 5.545
+    - type: precision_at_100
+      value: 0.861
+    - type: precision_at_1000
+      value: 0.117
+    - type: precision_at_3
+      value: 12.446
+    - type: precision_at_5
+      value: 9.131
+    - type: recall_at_1
+      value: 23.480999999999998
+    - type: recall_at_10
+      value: 47.825
+    - type: recall_at_100
+      value: 70.652
+    - type: recall_at_1000
+      value: 88.612
+    - type: recall_at_3
+      value: 33.537
+    - type: recall_at_5
+      value: 40.542
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.333999999999998
+    - type: map_at_10
+      value: 22.524
+    - type: map_at_100
+      value: 24.506
+    - type: map_at_1000
+      value: 24.715
+    - type: map_at_3
+      value: 19.022
+    - type: map_at_5
+      value: 20.693
+    - type: mrr_at_1
+      value: 29.186
+    - type: mrr_at_10
+      value: 41.22
+    - type: mrr_at_100
+      value: 42.16
+    - type: mrr_at_1000
+      value: 42.192
+    - type: mrr_at_3
+      value: 38.013000000000005
+    - type: mrr_at_5
+      value: 39.704
+    - type: ndcg_at_1
+      value: 29.186
+    - type: ndcg_at_10
+      value: 31.167
+    - type: ndcg_at_100
+      value: 38.879000000000005
+    - type: ndcg_at_1000
+      value: 42.376000000000005
+    - type: ndcg_at_3
+      value: 25.817
+    - type: ndcg_at_5
+      value: 27.377000000000002
+    - type: precision_at_1
+      value: 29.186
+    - type: precision_at_10
+      value: 9.693999999999999
+    - type: precision_at_100
+      value: 1.8030000000000002
+    - type: precision_at_1000
+      value: 0.246
+    - type: precision_at_3
+      value: 19.11
+    - type: precision_at_5
+      value: 14.344999999999999
+    - type: recall_at_1
+      value: 13.333999999999998
+    - type: recall_at_10
+      value: 37.092000000000006
+    - type: recall_at_100
+      value: 63.651
+    - type: recall_at_1000
+      value: 83.05
+    - type: recall_at_3
+      value: 23.74
+    - type: recall_at_5
+      value: 28.655
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.151
+    - type: map_at_10
+      value: 19.653000000000002
+    - type: map_at_100
+      value: 28.053
+    - type: map_at_1000
+      value: 29.709000000000003
+    - type: map_at_3
+      value: 14.191
+    - type: map_at_5
+      value: 16.456
+    - type: mrr_at_1
+      value: 66.25
+    - type: mrr_at_10
+      value: 74.4
+    - type: mrr_at_100
+      value: 74.715
+    - type: mrr_at_1000
+      value: 74.726
+    - type: mrr_at_3
+      value: 72.417
+    - type: mrr_at_5
+      value: 73.667
+    - type: ndcg_at_1
+      value: 54.25
+    - type: ndcg_at_10
+      value: 40.77
+    - type: ndcg_at_100
+      value: 46.359
+    - type: ndcg_at_1000
+      value: 54.193000000000005
+    - type: ndcg_at_3
+      value: 44.832
+    - type: ndcg_at_5
+      value: 42.63
+    - type: precision_at_1
+      value: 66.25
+    - type: precision_at_10
+      value: 32.175
+    - type: precision_at_100
+      value: 10.668
+    - type: precision_at_1000
+      value: 2.067
+    - type: precision_at_3
+      value: 47.667
+    - type: precision_at_5
+      value: 41.3
+    - type: recall_at_1
+      value: 9.151
+    - type: recall_at_10
+      value: 25.003999999999998
+    - type: recall_at_100
+      value: 52.976
+    - type: recall_at_1000
+      value: 78.315
+    - type: recall_at_3
+      value: 15.487
+    - type: recall_at_5
+      value: 18.999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 51.89999999999999
+    - type: f1
+      value: 46.47777925067403
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 73.706
+    - type: map_at_10
+      value: 82.423
+    - type: map_at_100
+      value: 82.67999999999999
+    - type: map_at_1000
+      value: 82.694
+    - type: map_at_3
+      value: 81.328
+    - type: map_at_5
+      value: 82.001
+    - type: mrr_at_1
+      value: 79.613
+    - type: mrr_at_10
+      value: 87.07000000000001
+    - type: mrr_at_100
+      value: 87.169
+    - type: mrr_at_1000
+      value: 87.17
+    - type: mrr_at_3
+      value: 86.404
+    - type: mrr_at_5
+      value: 86.856
+    - type: ndcg_at_1
+      value: 79.613
+    - type: ndcg_at_10
+      value: 86.289
+    - type: ndcg_at_100
+      value: 87.201
+    - type: ndcg_at_1000
+      value: 87.428
+    - type: ndcg_at_3
+      value: 84.625
+    - type: ndcg_at_5
+      value: 85.53699999999999
+    - type: precision_at_1
+      value: 79.613
+    - type: precision_at_10
+      value: 10.399
+    - type: precision_at_100
+      value: 1.1079999999999999
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 32.473
+    - type: precision_at_5
+      value: 20.132
+    - type: recall_at_1
+      value: 73.706
+    - type: recall_at_10
+      value: 93.559
+    - type: recall_at_100
+      value: 97.188
+    - type: recall_at_1000
+      value: 98.555
+    - type: recall_at_3
+      value: 88.98700000000001
+    - type: recall_at_5
+      value: 91.373
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.841
+    - type: map_at_10
+      value: 32.643
+    - type: map_at_100
+      value: 34.575
+    - type: map_at_1000
+      value: 34.736
+    - type: map_at_3
+      value: 28.317999999999998
+    - type: map_at_5
+      value: 30.964000000000002
+    - type: mrr_at_1
+      value: 39.660000000000004
+    - type: mrr_at_10
+      value: 48.620000000000005
+    - type: mrr_at_100
+      value: 49.384
+    - type: mrr_at_1000
+      value: 49.415
+    - type: mrr_at_3
+      value: 45.988
+    - type: mrr_at_5
+      value: 47.361
+    - type: ndcg_at_1
+      value: 39.660000000000004
+    - type: ndcg_at_10
+      value: 40.646
+    - type: ndcg_at_100
+      value: 47.657
+    - type: ndcg_at_1000
+      value: 50.428
+    - type: ndcg_at_3
+      value: 36.689
+    - type: ndcg_at_5
+      value: 38.211
+    - type: precision_at_1
+      value: 39.660000000000004
+    - type: precision_at_10
+      value: 11.235000000000001
+    - type: precision_at_100
+      value: 1.8530000000000002
+    - type: precision_at_1000
+      value: 0.23600000000000002
+    - type: precision_at_3
+      value: 24.587999999999997
+    - type: precision_at_5
+      value: 18.395
+    - type: recall_at_1
+      value: 19.841
+    - type: recall_at_10
+      value: 48.135
+    - type: recall_at_100
+      value: 74.224
+    - type: recall_at_1000
+      value: 90.826
+    - type: recall_at_3
+      value: 33.536
+    - type: recall_at_5
+      value: 40.311
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.358
+    - type: map_at_10
+      value: 64.497
+    - type: map_at_100
+      value: 65.362
+    - type: map_at_1000
+      value: 65.41900000000001
+    - type: map_at_3
+      value: 61.06700000000001
+    - type: map_at_5
+      value: 63.317
+    - type: mrr_at_1
+      value: 80.716
+    - type: mrr_at_10
+      value: 86.10799999999999
+    - type: mrr_at_100
+      value: 86.265
+    - type: mrr_at_1000
+      value: 86.27
+    - type: mrr_at_3
+      value: 85.271
+    - type: mrr_at_5
+      value: 85.82499999999999
+    - type: ndcg_at_1
+      value: 80.716
+    - type: ndcg_at_10
+      value: 72.597
+    - type: ndcg_at_100
+      value: 75.549
+    - type: ndcg_at_1000
+      value: 76.61
+    - type: ndcg_at_3
+      value: 67.874
+    - type: ndcg_at_5
+      value: 70.655
+    - type: precision_at_1
+      value: 80.716
+    - type: precision_at_10
+      value: 15.148
+    - type: precision_at_100
+      value: 1.745
+    - type: precision_at_1000
+      value: 0.188
+    - type: precision_at_3
+      value: 43.597
+    - type: precision_at_5
+      value: 28.351
+    - type: recall_at_1
+      value: 40.358
+    - type: recall_at_10
+      value: 75.739
+    - type: recall_at_100
+      value: 87.259
+    - type: recall_at_1000
+      value: 94.234
+    - type: recall_at_3
+      value: 65.39500000000001
+    - type: recall_at_5
+      value: 70.878
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 90.80799999999998
+    - type: ap
+      value: 86.81350378180757
+    - type: f1
+      value: 90.79901248314215
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.096
+    - type: map_at_10
+      value: 34.384
+    - type: map_at_100
+      value: 35.541
+    - type: map_at_1000
+      value: 35.589999999999996
+    - type: map_at_3
+      value: 30.496000000000002
+    - type: map_at_5
+      value: 32.718
+    - type: mrr_at_1
+      value: 22.750999999999998
+    - type: mrr_at_10
+      value: 35.024
+    - type: mrr_at_100
+      value: 36.125
+    - type: mrr_at_1000
+      value: 36.168
+    - type: mrr_at_3
+      value: 31.225
+    - type: mrr_at_5
+      value: 33.416000000000004
+    - type: ndcg_at_1
+      value: 22.750999999999998
+    - type: ndcg_at_10
+      value: 41.351
+    - type: ndcg_at_100
+      value: 46.92
+    - type: ndcg_at_1000
+      value: 48.111
+    - type: ndcg_at_3
+      value: 33.439
+    - type: ndcg_at_5
+      value: 37.407000000000004
+    - type: precision_at_1
+      value: 22.750999999999998
+    - type: precision_at_10
+      value: 6.564
+    - type: precision_at_100
+      value: 0.935
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 14.288
+    - type: precision_at_5
+      value: 10.581999999999999
+    - type: recall_at_1
+      value: 22.096
+    - type: recall_at_10
+      value: 62.771
+    - type: recall_at_100
+      value: 88.529
+    - type: recall_at_1000
+      value: 97.55
+    - type: recall_at_3
+      value: 41.245
+    - type: recall_at_5
+      value: 50.788
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 94.16780665754673
+    - type: f1
+      value: 93.96331194859894
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 76.90606475148198
+    - type: f1
+      value: 58.58344986604187
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 76.14660390047075
+    - type: f1
+      value: 74.31533923533614
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 80.16139878950908
+    - type: f1
+      value: 80.18532656824924
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 32.949880906135085
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 31.56300351524862
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.196521894371315
+    - type: mrr
+      value: 32.22644231694389
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.783
+    - type: map_at_10
+      value: 14.549000000000001
+    - type: map_at_100
+      value: 18.433
+    - type: map_at_1000
+      value: 19.949
+    - type: map_at_3
+      value: 10.936
+    - type: map_at_5
+      value: 12.514
+    - type: mrr_at_1
+      value: 47.368
+    - type: mrr_at_10
+      value: 56.42
+    - type: mrr_at_100
+      value: 56.908
+    - type: mrr_at_1000
+      value: 56.95
+    - type: mrr_at_3
+      value: 54.283
+    - type: mrr_at_5
+      value: 55.568
+    - type: ndcg_at_1
+      value: 45.666000000000004
+    - type: ndcg_at_10
+      value: 37.389
+    - type: ndcg_at_100
+      value: 34.253
+    - type: ndcg_at_1000
+      value: 43.059999999999995
+    - type: ndcg_at_3
+      value: 42.725
+    - type: ndcg_at_5
+      value: 40.193
+    - type: precision_at_1
+      value: 47.368
+    - type: precision_at_10
+      value: 27.988000000000003
+    - type: precision_at_100
+      value: 8.672
+    - type: precision_at_1000
+      value: 2.164
+    - type: precision_at_3
+      value: 40.248
+    - type: precision_at_5
+      value: 34.737
+    - type: recall_at_1
+      value: 6.783
+    - type: recall_at_10
+      value: 17.838
+    - type: recall_at_100
+      value: 33.672000000000004
+    - type: recall_at_1000
+      value: 66.166
+    - type: recall_at_3
+      value: 11.849
+    - type: recall_at_5
+      value: 14.205000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.698999999999998
+    - type: map_at_10
+      value: 46.556
+    - type: map_at_100
+      value: 47.652
+    - type: map_at_1000
+      value: 47.68
+    - type: map_at_3
+      value: 42.492000000000004
+    - type: map_at_5
+      value: 44.763999999999996
+    - type: mrr_at_1
+      value: 35.747
+    - type: mrr_at_10
+      value: 49.242999999999995
+    - type: mrr_at_100
+      value: 50.052
+    - type: mrr_at_1000
+      value: 50.068
+    - type: mrr_at_3
+      value: 45.867000000000004
+    - type: mrr_at_5
+      value: 47.778999999999996
+    - type: ndcg_at_1
+      value: 35.717999999999996
+    - type: ndcg_at_10
+      value: 54.14600000000001
+    - type: ndcg_at_100
+      value: 58.672999999999995
+    - type: ndcg_at_1000
+      value: 59.279
+    - type: ndcg_at_3
+      value: 46.407
+    - type: ndcg_at_5
+      value: 50.181
+    - type: precision_at_1
+      value: 35.717999999999996
+    - type: precision_at_10
+      value: 8.844000000000001
+    - type: precision_at_100
+      value: 1.139
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 20.993000000000002
+    - type: precision_at_5
+      value: 14.791000000000002
+    - type: recall_at_1
+      value: 31.698999999999998
+    - type: recall_at_10
+      value: 74.693
+    - type: recall_at_100
+      value: 94.15299999999999
+    - type: recall_at_1000
+      value: 98.585
+    - type: recall_at_3
+      value: 54.388999999999996
+    - type: recall_at_5
+      value: 63.08200000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 71.283
+    - type: map_at_10
+      value: 85.24000000000001
+    - type: map_at_100
+      value: 85.882
+    - type: map_at_1000
+      value: 85.897
+    - type: map_at_3
+      value: 82.326
+    - type: map_at_5
+      value: 84.177
+    - type: mrr_at_1
+      value: 82.21000000000001
+    - type: mrr_at_10
+      value: 88.228
+    - type: mrr_at_100
+      value: 88.32
+    - type: mrr_at_1000
+      value: 88.32
+    - type: mrr_at_3
+      value: 87.323
+    - type: mrr_at_5
+      value: 87.94800000000001
+    - type: ndcg_at_1
+      value: 82.17999999999999
+    - type: ndcg_at_10
+      value: 88.9
+    - type: ndcg_at_100
+      value: 90.079
+    - type: ndcg_at_1000
+      value: 90.158
+    - type: ndcg_at_3
+      value: 86.18299999999999
+    - type: ndcg_at_5
+      value: 87.71799999999999
+    - type: precision_at_1
+      value: 82.17999999999999
+    - type: precision_at_10
+      value: 13.464
+    - type: precision_at_100
+      value: 1.533
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 37.693
+    - type: precision_at_5
+      value: 24.792
+    - type: recall_at_1
+      value: 71.283
+    - type: recall_at_10
+      value: 95.742
+    - type: recall_at_100
+      value: 99.67200000000001
+    - type: recall_at_1000
+      value: 99.981
+    - type: recall_at_3
+      value: 87.888
+    - type: recall_at_5
+      value: 92.24
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 56.24267063669042
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 62.88056988932578
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.903
+    - type: map_at_10
+      value: 13.202
+    - type: map_at_100
+      value: 15.5
+    - type: map_at_1000
+      value: 15.870999999999999
+    - type: map_at_3
+      value: 9.407
+    - type: map_at_5
+      value: 11.238
+    - type: mrr_at_1
+      value: 24.2
+    - type: mrr_at_10
+      value: 35.867
+    - type: mrr_at_100
+      value: 37.001
+    - type: mrr_at_1000
+      value: 37.043
+    - type: mrr_at_3
+      value: 32.5
+    - type: mrr_at_5
+      value: 34.35
+    - type: ndcg_at_1
+      value: 24.2
+    - type: ndcg_at_10
+      value: 21.731
+    - type: ndcg_at_100
+      value: 30.7
+    - type: ndcg_at_1000
+      value: 36.618
+    - type: ndcg_at_3
+      value: 20.72
+    - type: ndcg_at_5
+      value: 17.954
+    - type: precision_at_1
+      value: 24.2
+    - type: precision_at_10
+      value: 11.33
+    - type: precision_at_100
+      value: 2.4410000000000003
+    - type: precision_at_1000
+      value: 0.386
+    - type: precision_at_3
+      value: 19.667
+    - type: precision_at_5
+      value: 15.86
+    - type: recall_at_1
+      value: 4.903
+    - type: recall_at_10
+      value: 22.962
+    - type: recall_at_100
+      value: 49.563
+    - type: recall_at_1000
+      value: 78.238
+    - type: recall_at_3
+      value: 11.953
+    - type: recall_at_5
+      value: 16.067999999999998
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.12694254604078
+    - type: cos_sim_spearman
+      value: 80.30141815181918
+    - type: euclidean_pearson
+      value: 81.34015449877128
+    - type: euclidean_spearman
+      value: 80.13984197010849
+    - type: manhattan_pearson
+      value: 81.31767068124086
+    - type: manhattan_spearman
+      value: 80.11720513114103
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.13112984010417
+    - type: cos_sim_spearman
+      value: 78.03063573402875
+    - type: euclidean_pearson
+      value: 83.51928418844804
+    - type: euclidean_spearman
+      value: 78.4045235411144
+    - type: manhattan_pearson
+      value: 83.49981637388689
+    - type: manhattan_spearman
+      value: 78.4042575139372
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.50327987379504
+    - type: cos_sim_spearman
+      value: 84.18556767756205
+    - type: euclidean_pearson
+      value: 82.69684424327679
+    - type: euclidean_spearman
+      value: 83.5368106038335
+    - type: manhattan_pearson
+      value: 82.57967581007374
+    - type: manhattan_spearman
+      value: 83.43009053133697
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.50756863007814
+    - type: cos_sim_spearman
+      value: 82.27204331279108
+    - type: euclidean_pearson
+      value: 81.39535251429741
+    - type: euclidean_spearman
+      value: 81.84386626336239
+    - type: manhattan_pearson
+      value: 81.34281737280695
+    - type: manhattan_spearman
+      value: 81.81149375673166
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.8727714856726
+    - type: cos_sim_spearman
+      value: 87.95738287792312
+    - type: euclidean_pearson
+      value: 86.62920602795887
+    - type: euclidean_spearman
+      value: 87.05207355381243
+    - type: manhattan_pearson
+      value: 86.53587918472225
+    - type: manhattan_spearman
+      value: 86.95382961029586
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.52240359769479
+    - type: cos_sim_spearman
+      value: 85.47685776238286
+    - type: euclidean_pearson
+      value: 84.25815333483058
+    - type: euclidean_spearman
+      value: 85.27415639683198
+    - type: manhattan_pearson
+      value: 84.29127757025637
+    - type: manhattan_spearman
+      value: 85.30226224917351
+  - 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_pearson
+      value: 86.42501708915708
+    - type: cos_sim_spearman
+      value: 86.42276182795041
+    - type: euclidean_pearson
+      value: 86.5408207354761
+    - type: euclidean_spearman
+      value: 85.46096321750838
+    - type: manhattan_pearson
+      value: 86.54177303026881
+    - type: manhattan_spearman
+      value: 85.50313151916117
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 64.86521089250766
+    - type: cos_sim_spearman
+      value: 65.94868540323003
+    - type: euclidean_pearson
+      value: 67.16569626533084
+    - type: euclidean_spearman
+      value: 66.37667004134917
+    - type: manhattan_pearson
+      value: 67.1482365102333
+    - type: manhattan_spearman
+      value: 66.53240122580029
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.64746265365318
+    - type: cos_sim_spearman
+      value: 86.41888825906786
+    - type: euclidean_pearson
+      value: 85.27453642725811
+    - type: euclidean_spearman
+      value: 85.94095796602544
+    - type: manhattan_pearson
+      value: 85.28643660505334
+    - type: manhattan_spearman
+      value: 85.95028003260744
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 87.48903153618527
+    - type: mrr
+      value: 96.41081503826601
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 58.594
+    - type: map_at_10
+      value: 69.296
+    - type: map_at_100
+      value: 69.782
+    - type: map_at_1000
+      value: 69.795
+    - type: map_at_3
+      value: 66.23
+    - type: map_at_5
+      value: 68.293
+    - type: mrr_at_1
+      value: 61.667
+    - type: mrr_at_10
+      value: 70.339
+    - type: mrr_at_100
+      value: 70.708
+    - type: mrr_at_1000
+      value: 70.722
+    - type: mrr_at_3
+      value: 68.0
+    - type: mrr_at_5
+      value: 69.56700000000001
+    - type: ndcg_at_1
+      value: 61.667
+    - type: ndcg_at_10
+      value: 74.039
+    - type: ndcg_at_100
+      value: 76.103
+    - type: ndcg_at_1000
+      value: 76.47800000000001
+    - type: ndcg_at_3
+      value: 68.967
+    - type: ndcg_at_5
+      value: 71.96900000000001
+    - type: precision_at_1
+      value: 61.667
+    - type: precision_at_10
+      value: 9.866999999999999
+    - type: precision_at_100
+      value: 1.097
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 27.111
+    - type: precision_at_5
+      value: 18.2
+    - type: recall_at_1
+      value: 58.594
+    - type: recall_at_10
+      value: 87.422
+    - type: recall_at_100
+      value: 96.667
+    - type: recall_at_1000
+      value: 99.667
+    - type: recall_at_3
+      value: 74.217
+    - type: recall_at_5
+      value: 81.539
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.85049504950496
+    - type: cos_sim_ap
+      value: 96.33111544137081
+    - type: cos_sim_f1
+      value: 92.35443037974684
+    - type: cos_sim_precision
+      value: 93.53846153846153
+    - type: cos_sim_recall
+      value: 91.2
+    - type: dot_accuracy
+      value: 99.82376237623762
+    - type: dot_ap
+      value: 95.38082527310888
+    - type: dot_f1
+      value: 90.90909090909092
+    - type: dot_precision
+      value: 92.90187891440502
+    - type: dot_recall
+      value: 89.0
+    - type: euclidean_accuracy
+      value: 99.84851485148515
+    - type: euclidean_ap
+      value: 96.32316003996347
+    - type: euclidean_f1
+      value: 92.2071392659628
+    - type: euclidean_precision
+      value: 92.71991911021233
+    - type: euclidean_recall
+      value: 91.7
+    - type: manhattan_accuracy
+      value: 99.84851485148515
+    - type: manhattan_ap
+      value: 96.3655668249217
+    - type: manhattan_f1
+      value: 92.18356026222895
+    - type: manhattan_precision
+      value: 92.98067141403867
+    - type: manhattan_recall
+      value: 91.4
+    - type: max_accuracy
+      value: 99.85049504950496
+    - type: max_ap
+      value: 96.3655668249217
+    - type: max_f1
+      value: 92.35443037974684
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 65.94861371629051
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 35.009430451385
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 54.61164066427969
+    - type: mrr
+      value: 55.49710603938544
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.622620124907662
+    - type: cos_sim_spearman
+      value: 31.0678351356163
+    - type: dot_pearson
+      value: 30.863727693306814
+    - type: dot_spearman
+      value: 31.230306567021255
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.22
+    - type: map_at_10
+      value: 2.011
+    - type: map_at_100
+      value: 10.974
+    - type: map_at_1000
+      value: 25.819
+    - type: map_at_3
+      value: 0.6649999999999999
+    - type: map_at_5
+      value: 1.076
+    - type: mrr_at_1
+      value: 86.0
+    - type: mrr_at_10
+      value: 91.8
+    - type: mrr_at_100
+      value: 91.8
+    - type: mrr_at_1000
+      value: 91.8
+    - type: mrr_at_3
+      value: 91.0
+    - type: mrr_at_5
+      value: 91.8
+    - type: ndcg_at_1
+      value: 82.0
+    - type: ndcg_at_10
+      value: 78.07300000000001
+    - type: ndcg_at_100
+      value: 58.231
+    - type: ndcg_at_1000
+      value: 51.153000000000006
+    - type: ndcg_at_3
+      value: 81.123
+    - type: ndcg_at_5
+      value: 81.059
+    - type: precision_at_1
+      value: 86.0
+    - type: precision_at_10
+      value: 83.0
+    - type: precision_at_100
+      value: 59.38
+    - type: precision_at_1000
+      value: 22.55
+    - type: precision_at_3
+      value: 87.333
+    - type: precision_at_5
+      value: 86.8
+    - type: recall_at_1
+      value: 0.22
+    - type: recall_at_10
+      value: 2.2079999999999997
+    - type: recall_at_100
+      value: 14.069
+    - type: recall_at_1000
+      value: 47.678
+    - type: recall_at_3
+      value: 0.7040000000000001
+    - type: recall_at_5
+      value: 1.161
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.809
+    - type: map_at_10
+      value: 10.394
+    - type: map_at_100
+      value: 16.598
+    - type: map_at_1000
+      value: 18.142
+    - type: map_at_3
+      value: 5.572
+    - type: map_at_5
+      value: 7.1370000000000005
+    - type: mrr_at_1
+      value: 32.653
+    - type: mrr_at_10
+      value: 46.564
+    - type: mrr_at_100
+      value: 47.469
+    - type: mrr_at_1000
+      value: 47.469
+    - type: mrr_at_3
+      value: 42.177
+    - type: mrr_at_5
+      value: 44.524
+    - type: ndcg_at_1
+      value: 30.612000000000002
+    - type: ndcg_at_10
+      value: 25.701
+    - type: ndcg_at_100
+      value: 37.532
+    - type: ndcg_at_1000
+      value: 48.757
+    - type: ndcg_at_3
+      value: 28.199999999999996
+    - type: ndcg_at_5
+      value: 25.987
+    - type: precision_at_1
+      value: 32.653
+    - type: precision_at_10
+      value: 23.469
+    - type: precision_at_100
+      value: 7.9799999999999995
+    - type: precision_at_1000
+      value: 1.5350000000000001
+    - type: precision_at_3
+      value: 29.932
+    - type: precision_at_5
+      value: 26.122
+    - type: recall_at_1
+      value: 2.809
+    - type: recall_at_10
+      value: 16.887
+    - type: recall_at_100
+      value: 48.67
+    - type: recall_at_1000
+      value: 82.89699999999999
+    - type: recall_at_3
+      value: 6.521000000000001
+    - type: recall_at_5
+      value: 9.609
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.57860000000001
+    - type: ap
+      value: 13.82629211536393
+    - type: f1
+      value: 54.59860966183956
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 59.38030560271647
+    - type: f1
+      value: 59.69685552567865
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 51.4736717043405
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 86.92853311080646
+    - type: cos_sim_ap
+      value: 77.67872502591382
+    - type: cos_sim_f1
+      value: 70.33941236068895
+    - type: cos_sim_precision
+      value: 67.63273258645884
+    - type: cos_sim_recall
+      value: 73.27176781002639
+    - type: dot_accuracy
+      value: 85.79603027954938
+    - type: dot_ap
+      value: 73.73786190233379
+    - type: dot_f1
+      value: 67.3437901774235
+    - type: dot_precision
+      value: 65.67201604814443
+    - type: dot_recall
+      value: 69.10290237467018
+    - type: euclidean_accuracy
+      value: 86.94045419324074
+    - type: euclidean_ap
+      value: 77.6687791535167
+    - type: euclidean_f1
+      value: 70.47209214023542
+    - type: euclidean_precision
+      value: 67.7207492094381
+    - type: euclidean_recall
+      value: 73.45646437994723
+    - type: manhattan_accuracy
+      value: 86.87488823985218
+    - type: manhattan_ap
+      value: 77.63373392430728
+    - type: manhattan_f1
+      value: 70.40920716112532
+    - type: manhattan_precision
+      value: 68.31265508684864
+    - type: manhattan_recall
+      value: 72.63852242744063
+    - type: max_accuracy
+      value: 86.94045419324074
+    - type: max_ap
+      value: 77.67872502591382
+    - type: max_f1
+      value: 70.47209214023542
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.67155664221679
+    - type: cos_sim_ap
+      value: 85.64591703003417
+    - type: cos_sim_f1
+      value: 77.59531005352656
+    - type: cos_sim_precision
+      value: 73.60967184801382
+    - type: cos_sim_recall
+      value: 82.03726516784724
+    - type: dot_accuracy
+      value: 88.41541506578181
+    - type: dot_ap
+      value: 84.6482788957769
+    - type: dot_f1
+      value: 77.04748541466657
+    - type: dot_precision
+      value: 74.02440754931176
+    - type: dot_recall
+      value: 80.3279950723745
+    - type: euclidean_accuracy
+      value: 88.63080684596576
+    - type: euclidean_ap
+      value: 85.44570045321562
+    - type: euclidean_f1
+      value: 77.28769403336106
+    - type: euclidean_precision
+      value: 72.90600040958427
+    - type: euclidean_recall
+      value: 82.22975053895904
+    - type: manhattan_accuracy
+      value: 88.59393798269105
+    - type: manhattan_ap
+      value: 85.40271361038187
+    - type: manhattan_f1
+      value: 77.17606419344392
+    - type: manhattan_precision
+      value: 72.4447747078295
+    - type: manhattan_recall
+      value: 82.5685247921158
+    - type: max_accuracy
+      value: 88.67155664221679
+    - type: max_ap
+      value: 85.64591703003417
+    - type: max_f1
+      value: 77.59531005352656
 license: mit
 language:
 - en