Create README.md

README.md

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+---
+tags:
+- mteb
+- feature-extraction
+- sentence-similarity
+model-index:
+- name: v1
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.07462686567163
+    - type: ap
+      value: 40.56545526400157
+    - type: f1
+      value: 71.14615231582567
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 93.03617500000001
+    - type: ap
+      value: 89.68075993779713
+    - type: f1
+      value: 93.01941324029784
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 47.730000000000004
+    - type: f1
+      value: 47.17780812766083
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.963
+    - type: map_at_10
+      value: 57.289
+    - type: map_at_100
+      value: 57.813
+    - type: map_at_1000
+      value: 57.81699999999999
+    - type: map_at_3
+      value: 53.425999999999995
+    - type: map_at_5
+      value: 55.798
+    - type: mrr_at_1
+      value: 42.603
+    - type: mrr_at_10
+      value: 57.528999999999996
+    - type: mrr_at_100
+      value: 58.053999999999995
+    - type: mrr_at_1000
+      value: 58.058
+    - type: mrr_at_3
+      value: 53.639
+    - type: mrr_at_5
+      value: 56.018
+    - type: ndcg_at_1
+      value: 41.963
+    - type: ndcg_at_10
+      value: 65.038
+    - type: ndcg_at_100
+      value: 67.243
+    - type: ndcg_at_1000
+      value: 67.337
+    - type: ndcg_at_3
+      value: 57.218
+    - type: ndcg_at_5
+      value: 61.49400000000001
+    - type: precision_at_1
+      value: 41.963
+    - type: precision_at_10
+      value: 8.94
+    - type: precision_at_100
+      value: 0.989
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 22.736
+    - type: precision_at_5
+      value: 15.717999999999998
+    - type: recall_at_1
+      value: 41.963
+    - type: recall_at_10
+      value: 89.403
+    - type: recall_at_100
+      value: 98.933
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 68.208
+    - type: recall_at_5
+      value: 78.592
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 49.7119537244616
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 43.45461573320737
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 63.77183059365367
+    - type: mrr
+      value: 76.47836697005673
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.6676490140397
+    - type: cos_sim_spearman
+      value: 83.62479701399418
+    - type: euclidean_pearson
+      value: 83.77348388669043
+    - type: euclidean_spearman
+      value: 85.15254266808878
+    - type: manhattan_pearson
+      value: 83.82596617753741
+    - type: manhattan_spearman
+      value: 84.92783875287692
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 87.85714285714286
+    - type: f1
+      value: 87.84374773981708
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 42.02700557366043
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 38.19662622375156
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.83
+    - type: map_at_10
+      value: 44.035000000000004
+    - type: map_at_100
+      value: 45.49
+    - type: map_at_1000
+      value: 45.613
+    - type: map_at_3
+      value: 40.542
+    - type: map_at_5
+      value: 42.213
+    - type: mrr_at_1
+      value: 39.914
+    - type: mrr_at_10
+      value: 49.742999999999995
+    - type: mrr_at_100
+      value: 50.473
+    - type: mrr_at_1000
+      value: 50.514
+    - type: mrr_at_3
+      value: 47.043
+    - type: mrr_at_5
+      value: 48.603
+    - type: ndcg_at_1
+      value: 39.914
+    - type: ndcg_at_10
+      value: 50.432
+    - type: ndcg_at_100
+      value: 55.675
+    - type: ndcg_at_1000
+      value: 57.547000000000004
+    - type: ndcg_at_3
+      value: 45.33
+    - type: ndcg_at_5
+      value: 47.326
+    - type: precision_at_1
+      value: 39.914
+    - type: precision_at_10
+      value: 9.614
+    - type: precision_at_100
+      value: 1.522
+    - type: precision_at_1000
+      value: 0.197
+    - type: precision_at_3
+      value: 21.602
+    - type: precision_at_5
+      value: 15.308
+    - type: recall_at_1
+      value: 32.83
+    - type: recall_at_10
+      value: 62.824000000000005
+    - type: recall_at_100
+      value: 84.604
+    - type: recall_at_1000
+      value: 96.318
+    - type: recall_at_3
+      value: 47.991
+    - type: recall_at_5
+      value: 53.74
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 34.666000000000004
+    - type: map_at_10
+      value: 45.149
+    - type: map_at_100
+      value: 46.373
+    - type: map_at_1000
+      value: 46.505
+    - type: map_at_3
+      value: 41.973
+    - type: map_at_5
+      value: 43.876
+    - type: mrr_at_1
+      value: 43.248
+    - type: mrr_at_10
+      value: 51.346000000000004
+    - type: mrr_at_100
+      value: 51.903
+    - type: mrr_at_1000
+      value: 51.94800000000001
+    - type: mrr_at_3
+      value: 49.289
+    - type: mrr_at_5
+      value: 50.575
+    - type: ndcg_at_1
+      value: 43.248
+    - type: ndcg_at_10
+      value: 50.849999999999994
+    - type: ndcg_at_100
+      value: 54.836
+    - type: ndcg_at_1000
+      value: 56.821999999999996
+    - type: ndcg_at_3
+      value: 46.788000000000004
+    - type: ndcg_at_5
+      value: 48.901
+    - type: precision_at_1
+      value: 43.248
+    - type: precision_at_10
+      value: 9.51
+    - type: precision_at_100
+      value: 1.5
+    - type: precision_at_1000
+      value: 0.196
+    - type: precision_at_3
+      value: 22.548000000000002
+    - type: precision_at_5
+      value: 15.936
+    - type: recall_at_1
+      value: 34.666000000000004
+    - type: recall_at_10
+      value: 60.244
+    - type: recall_at_100
+      value: 77.03
+    - type: recall_at_1000
+      value: 89.619
+    - type: recall_at_3
+      value: 48.147
+    - type: recall_at_5
+      value: 54.19199999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 42.317
+    - type: map_at_10
+      value: 55.084999999999994
+    - type: map_at_100
+      value: 56.081
+    - type: map_at_1000
+      value: 56.131
+    - type: map_at_3
+      value: 51.87199999999999
+    - type: map_at_5
+      value: 53.638
+    - type: mrr_at_1
+      value: 48.464
+    - type: mrr_at_10
+      value: 58.664
+    - type: mrr_at_100
+      value: 59.282999999999994
+    - type: mrr_at_1000
+      value: 59.307
+    - type: mrr_at_3
+      value: 56.426
+    - type: mrr_at_5
+      value: 57.799
+    - type: ndcg_at_1
+      value: 48.464
+    - type: ndcg_at_10
+      value: 60.939
+    - type: ndcg_at_100
+      value: 64.77000000000001
+    - type: ndcg_at_1000
+      value: 65.732
+    - type: ndcg_at_3
+      value: 55.769000000000005
+    - type: ndcg_at_5
+      value: 58.282000000000004
+    - type: precision_at_1
+      value: 48.464
+    - type: precision_at_10
+      value: 9.693
+    - type: precision_at_100
+      value: 1.248
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 24.89
+    - type: precision_at_5
+      value: 16.828000000000003
+    - type: recall_at_1
+      value: 42.317
+    - type: recall_at_10
+      value: 74.602
+    - type: recall_at_100
+      value: 90.943
+    - type: recall_at_1000
+      value: 97.617
+    - type: recall_at_3
+      value: 60.909
+    - type: recall_at_5
+      value: 67.172
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.854999999999997
+    - type: map_at_10
+      value: 37.508
+    - type: map_at_100
+      value: 38.576
+    - type: map_at_1000
+      value: 38.646
+    - type: map_at_3
+      value: 35.066
+    - type: map_at_5
+      value: 36.291000000000004
+    - type: mrr_at_1
+      value: 30.959999999999997
+    - type: mrr_at_10
+      value: 39.559
+    - type: mrr_at_100
+      value: 40.481
+    - type: mrr_at_1000
+      value: 40.536
+    - type: mrr_at_3
+      value: 37.288
+    - type: mrr_at_5
+      value: 38.463
+    - type: ndcg_at_1
+      value: 30.959999999999997
+    - type: ndcg_at_10
+      value: 42.403
+    - type: ndcg_at_100
+      value: 47.49
+    - type: ndcg_at_1000
+      value: 49.227
+    - type: ndcg_at_3
+      value: 37.599
+    - type: ndcg_at_5
+      value: 39.652
+    - type: precision_at_1
+      value: 30.959999999999997
+    - type: precision_at_10
+      value: 6.328
+    - type: precision_at_100
+      value: 0.9329999999999999
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 15.744
+    - type: precision_at_5
+      value: 10.667
+    - type: recall_at_1
+      value: 28.854999999999997
+    - type: recall_at_10
+      value: 55.539
+    - type: recall_at_100
+      value: 78.481
+    - type: recall_at_1000
+      value: 91.456
+    - type: recall_at_3
+      value: 42.302
+    - type: recall_at_5
+      value: 47.288999999999994
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.17
+    - type: map_at_10
+      value: 27.737000000000002
+    - type: map_at_100
+      value: 28.912
+    - type: map_at_1000
+      value: 29.029
+    - type: map_at_3
+      value: 25.038
+    - type: map_at_5
+      value: 26.478
+    - type: mrr_at_1
+      value: 23.632
+    - type: mrr_at_10
+      value: 32.614
+    - type: mrr_at_100
+      value: 33.578
+    - type: mrr_at_1000
+      value: 33.642
+    - type: mrr_at_3
+      value: 30.079
+    - type: mrr_at_5
+      value: 31.490000000000002
+    - type: ndcg_at_1
+      value: 23.632
+    - type: ndcg_at_10
+      value: 33.204
+    - type: ndcg_at_100
+      value: 38.805
+    - type: ndcg_at_1000
+      value: 41.508
+    - type: ndcg_at_3
+      value: 28.316999999999997
+    - type: ndcg_at_5
+      value: 30.459999999999997
+    - type: precision_at_1
+      value: 23.632
+    - type: precision_at_10
+      value: 6.007
+    - type: precision_at_100
+      value: 1.015
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 13.639999999999999
+    - type: precision_at_5
+      value: 9.776
+    - type: recall_at_1
+      value: 19.17
+    - type: recall_at_10
+      value: 45.247
+    - type: recall_at_100
+      value: 69.455
+    - type: recall_at_1000
+      value: 88.548
+    - type: recall_at_3
+      value: 31.55
+    - type: recall_at_5
+      value: 36.97
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.788
+    - type: map_at_10
+      value: 41.510000000000005
+    - type: map_at_100
+      value: 42.827
+    - type: map_at_1000
+      value: 42.936
+    - type: map_at_3
+      value: 38.454
+    - type: map_at_5
+      value: 40.116
+    - type: mrr_at_1
+      value: 37.247
+    - type: mrr_at_10
+      value: 46.976
+    - type: mrr_at_100
+      value: 47.797
+    - type: mrr_at_1000
+      value: 47.838
+    - type: mrr_at_3
+      value: 44.61
+    - type: mrr_at_5
+      value: 45.961999999999996
+    - type: ndcg_at_1
+      value: 37.247
+    - type: ndcg_at_10
+      value: 47.447
+    - type: ndcg_at_100
+      value: 52.711
+    - type: ndcg_at_1000
+      value: 54.663
+    - type: ndcg_at_3
+      value: 42.576
+    - type: ndcg_at_5
+      value: 44.832
+    - type: precision_at_1
+      value: 37.247
+    - type: precision_at_10
+      value: 8.441
+    - type: precision_at_100
+      value: 1.277
+    - type: precision_at_1000
+      value: 0.163
+    - type: precision_at_3
+      value: 20.019000000000002
+    - type: precision_at_5
+      value: 14.033000000000001
+    - type: recall_at_1
+      value: 30.788
+    - type: recall_at_10
+      value: 59.51499999999999
+    - type: recall_at_100
+      value: 81.317
+    - type: recall_at_1000
+      value: 93.88300000000001
+    - type: recall_at_3
+      value: 46.021
+    - type: recall_at_5
+      value: 51.791
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.671
+    - type: map_at_10
+      value: 37.088
+    - type: map_at_100
+      value: 38.482
+    - type: map_at_1000
+      value: 38.594
+    - type: map_at_3
+      value: 33.947
+    - type: map_at_5
+      value: 35.682
+    - type: mrr_at_1
+      value: 32.647999999999996
+    - type: mrr_at_10
+      value: 42.469
+    - type: mrr_at_100
+      value: 43.332
+    - type: mrr_at_1000
+      value: 43.387
+    - type: mrr_at_3
+      value: 39.916000000000004
+    - type: mrr_at_5
+      value: 41.382999999999996
+    - type: ndcg_at_1
+      value: 32.647999999999996
+    - type: ndcg_at_10
+      value: 43.013
+    - type: ndcg_at_100
+      value: 48.554
+    - type: ndcg_at_1000
+      value: 50.854
+    - type: ndcg_at_3
+      value: 37.987
+    - type: ndcg_at_5
+      value: 40.316
+    - type: precision_at_1
+      value: 32.647999999999996
+    - type: precision_at_10
+      value: 7.911
+    - type: precision_at_100
+      value: 1.2309999999999999
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 18.151
+    - type: precision_at_5
+      value: 12.991
+    - type: recall_at_1
+      value: 26.671
+    - type: recall_at_10
+      value: 54.935
+    - type: recall_at_100
+      value: 78.387
+    - type: recall_at_1000
+      value: 93.997
+    - type: recall_at_3
+      value: 41.117
+    - type: recall_at_5
+      value: 47.211
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.19883333333333
+    - type: map_at_10
+      value: 37.64883333333333
+    - type: map_at_100
+      value: 38.861749999999994
+    - type: map_at_1000
+      value: 38.97366666666666
+    - type: map_at_3
+      value: 34.831999999999994
+    - type: map_at_5
+      value: 36.366083333333336
+    - type: mrr_at_1
+      value: 33.25125
+    - type: mrr_at_10
+      value: 41.90383333333333
+    - type: mrr_at_100
+      value: 42.75125
+    - type: mrr_at_1000
+      value: 42.80408333333334
+    - type: mrr_at_3
+      value: 39.58091666666667
+    - type: mrr_at_5
+      value: 40.919250000000005
+    - type: ndcg_at_1
+      value: 33.25125
+    - type: ndcg_at_10
+      value: 43.03475
+    - type: ndcg_at_100
+      value: 48.11583333333333
+    - type: ndcg_at_1000
+      value: 50.23949999999999
+    - type: ndcg_at_3
+      value: 38.373666666666665
+    - type: ndcg_at_5
+      value: 40.52941666666667
+    - type: precision_at_1
+      value: 33.25125
+    - type: precision_at_10
+      value: 7.442750000000001
+    - type: precision_at_100
+      value: 1.1699166666666667
+    - type: precision_at_1000
+      value: 0.15416666666666667
+    - type: precision_at_3
+      value: 17.556416666666667
+    - type: precision_at_5
+      value: 12.3295
+    - type: recall_at_1
+      value: 28.19883333333333
+    - type: recall_at_10
+      value: 54.61899999999999
+    - type: recall_at_100
+      value: 76.78066666666666
+    - type: recall_at_1000
+      value: 91.29883333333333
+    - type: recall_at_3
+      value: 41.69391666666667
+    - type: recall_at_5
+      value: 47.250083333333336
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.891
+    - type: map_at_10
+      value: 33.765
+    - type: map_at_100
+      value: 34.762
+    - type: map_at_1000
+      value: 34.855999999999995
+    - type: map_at_3
+      value: 31.813999999999997
+    - type: map_at_5
+      value: 32.925
+    - type: mrr_at_1
+      value: 30.368000000000002
+    - type: mrr_at_10
+      value: 36.85
+    - type: mrr_at_100
+      value: 37.681
+    - type: mrr_at_1000
+      value: 37.747
+    - type: mrr_at_3
+      value: 35.046
+    - type: mrr_at_5
+      value: 36.065999999999995
+    - type: ndcg_at_1
+      value: 30.368000000000002
+    - type: ndcg_at_10
+      value: 37.716
+    - type: ndcg_at_100
+      value: 42.529
+    - type: ndcg_at_1000
+      value: 44.769999999999996
+    - type: ndcg_at_3
+      value: 34.226
+    - type: ndcg_at_5
+      value: 35.933
+    - type: precision_at_1
+      value: 30.368000000000002
+    - type: precision_at_10
+      value: 5.736
+    - type: precision_at_100
+      value: 0.8789999999999999
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 14.519000000000002
+    - type: precision_at_5
+      value: 9.969
+    - type: recall_at_1
+      value: 26.891
+    - type: recall_at_10
+      value: 46.733999999999995
+    - type: recall_at_100
+      value: 68.696
+    - type: recall_at_1000
+      value: 85.085
+    - type: recall_at_3
+      value: 37.153000000000006
+    - type: recall_at_5
+      value: 41.396
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.184
+    - type: map_at_10
+      value: 26.717000000000002
+    - type: map_at_100
+      value: 27.863
+    - type: map_at_1000
+      value: 27.98
+    - type: map_at_3
+      value: 24.248
+    - type: map_at_5
+      value: 25.619999999999997
+    - type: mrr_at_1
+      value: 23.021
+    - type: mrr_at_10
+      value: 30.517
+    - type: mrr_at_100
+      value: 31.480000000000004
+    - type: mrr_at_1000
+      value: 31.549
+    - type: mrr_at_3
+      value: 28.194999999999997
+    - type: mrr_at_5
+      value: 29.573
+    - type: ndcg_at_1
+      value: 23.021
+    - type: ndcg_at_10
+      value: 31.501
+    - type: ndcg_at_100
+      value: 36.927
+    - type: ndcg_at_1000
+      value: 39.61
+    - type: ndcg_at_3
+      value: 27.058
+    - type: ndcg_at_5
+      value: 29.171999999999997
+    - type: precision_at_1
+      value: 23.021
+    - type: precision_at_10
+      value: 5.64
+    - type: precision_at_100
+      value: 0.97
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 12.572
+    - type: precision_at_5
+      value: 9.147
+    - type: recall_at_1
+      value: 19.184
+    - type: recall_at_10
+      value: 42.108000000000004
+    - type: recall_at_100
+      value: 66.438
+    - type: recall_at_1000
+      value: 85.309
+    - type: recall_at_3
+      value: 29.853
+    - type: recall_at_5
+      value: 35.228
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 27.516000000000002
+    - type: map_at_10
+      value: 37.16
+    - type: map_at_100
+      value: 38.329
+    - type: map_at_1000
+      value: 38.424
+    - type: map_at_3
+      value: 34.365
+    - type: map_at_5
+      value: 35.905
+    - type: mrr_at_1
+      value: 32.275999999999996
+    - type: mrr_at_10
+      value: 41.192
+    - type: mrr_at_100
+      value: 42.055
+    - type: mrr_at_1000
+      value: 42.111
+    - type: mrr_at_3
+      value: 38.682
+    - type: mrr_at_5
+      value: 40.044000000000004
+    - type: ndcg_at_1
+      value: 32.275999999999996
+    - type: ndcg_at_10
+      value: 42.573
+    - type: ndcg_at_100
+      value: 47.9
+    - type: ndcg_at_1000
+      value: 50.005
+    - type: ndcg_at_3
+      value: 37.536
+    - type: ndcg_at_5
+      value: 39.812
+    - type: precision_at_1
+      value: 32.275999999999996
+    - type: precision_at_10
+      value: 7.127
+    - type: precision_at_100
+      value: 1.107
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 16.947000000000003
+    - type: precision_at_5
+      value: 11.866
+    - type: recall_at_1
+      value: 27.516000000000002
+    - type: recall_at_10
+      value: 54.94
+    - type: recall_at_100
+      value: 78.011
+    - type: recall_at_1000
+      value: 92.66
+    - type: recall_at_3
+      value: 41.522
+    - type: recall_at_5
+      value: 46.989
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.052999999999997
+    - type: map_at_10
+      value: 33.847
+    - type: map_at_100
+      value: 35.555
+    - type: map_at_1000
+      value: 35.772999999999996
+    - type: map_at_3
+      value: 31.273
+    - type: map_at_5
+      value: 32.49
+    - type: mrr_at_1
+      value: 30.435000000000002
+    - type: mrr_at_10
+      value: 38.41
+    - type: mrr_at_100
+      value: 39.567
+    - type: mrr_at_1000
+      value: 39.62
+    - type: mrr_at_3
+      value: 36.265
+    - type: mrr_at_5
+      value: 37.342
+    - type: ndcg_at_1
+      value: 30.435000000000002
+    - type: ndcg_at_10
+      value: 39.579
+    - type: ndcg_at_100
+      value: 45.865
+    - type: ndcg_at_1000
+      value: 48.363
+    - type: ndcg_at_3
+      value: 35.545
+    - type: ndcg_at_5
+      value: 37.023
+    - type: precision_at_1
+      value: 30.435000000000002
+    - type: precision_at_10
+      value: 7.668
+    - type: precision_at_100
+      value: 1.518
+    - type: precision_at_1000
+      value: 0.24
+    - type: precision_at_3
+      value: 16.798
+    - type: precision_at_5
+      value: 11.858
+    - type: recall_at_1
+      value: 25.052999999999997
+    - type: recall_at_10
+      value: 50.160000000000004
+    - type: recall_at_100
+      value: 78.313
+    - type: recall_at_1000
+      value: 93.697
+    - type: recall_at_3
+      value: 38.368
+    - type: recall_at_5
+      value: 42.568
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.445
+    - type: map_at_10
+      value: 32.185
+    - type: map_at_100
+      value: 33.091
+    - type: map_at_1000
+      value: 33.196999999999996
+    - type: map_at_3
+      value: 29.392000000000003
+    - type: map_at_5
+      value: 31.159
+    - type: mrr_at_1
+      value: 26.802
+    - type: mrr_at_10
+      value: 34.506
+    - type: mrr_at_100
+      value: 35.385
+    - type: mrr_at_1000
+      value: 35.449999999999996
+    - type: mrr_at_3
+      value: 32.132
+    - type: mrr_at_5
+      value: 33.731
+    - type: ndcg_at_1
+      value: 26.802
+    - type: ndcg_at_10
+      value: 36.76
+    - type: ndcg_at_100
+      value: 41.327999999999996
+    - type: ndcg_at_1000
+      value: 43.773
+    - type: ndcg_at_3
+      value: 31.752999999999997
+    - type: ndcg_at_5
+      value: 34.644000000000005
+    - type: precision_at_1
+      value: 26.802
+    - type: precision_at_10
+      value: 5.638
+    - type: precision_at_100
+      value: 0.839
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 13.247
+    - type: precision_at_5
+      value: 9.575
+    - type: recall_at_1
+      value: 24.445
+    - type: recall_at_10
+      value: 48.58
+    - type: recall_at_100
+      value: 69.69300000000001
+    - type: recall_at_1000
+      value: 87.397
+    - type: recall_at_3
+      value: 35.394
+    - type: recall_at_5
+      value: 42.455
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.441000000000003
+    - type: map_at_10
+      value: 29.369
+    - type: map_at_100
+      value: 31.339
+    - type: map_at_1000
+      value: 31.537
+    - type: map_at_3
+      value: 25.09
+    - type: map_at_5
+      value: 27.388
+    - type: mrr_at_1
+      value: 39.217999999999996
+    - type: mrr_at_10
+      value: 51.23799999999999
+    - type: mrr_at_100
+      value: 51.88
+    - type: mrr_at_1000
+      value: 51.905
+    - type: mrr_at_3
+      value: 48.426
+    - type: mrr_at_5
+      value: 49.986000000000004
+    - type: ndcg_at_1
+      value: 39.217999999999996
+    - type: ndcg_at_10
+      value: 38.987
+    - type: ndcg_at_100
+      value: 46.043
+    - type: ndcg_at_1000
+      value: 49.19
+    - type: ndcg_at_3
+      value: 33.426
+    - type: ndcg_at_5
+      value: 35.182
+    - type: precision_at_1
+      value: 39.217999999999996
+    - type: precision_at_10
+      value: 11.909
+    - type: precision_at_100
+      value: 1.9640000000000002
+    - type: precision_at_1000
+      value: 0.255
+    - type: precision_at_3
+      value: 24.973
+    - type: precision_at_5
+      value: 18.528
+    - type: recall_at_1
+      value: 17.441000000000003
+    - type: recall_at_10
+      value: 44.378
+    - type: recall_at_100
+      value: 68.377
+    - type: recall_at_1000
+      value: 85.67
+    - type: recall_at_3
+      value: 30.214999999999996
+    - type: recall_at_5
+      value: 36.094
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.922
+    - type: map_at_10
+      value: 22.095000000000002
+    - type: map_at_100
+      value: 32.196999999999996
+    - type: map_at_1000
+      value: 33.949
+    - type: map_at_3
+      value: 15.695999999999998
+    - type: map_at_5
+      value: 18.561
+    - type: mrr_at_1
+      value: 71.75
+    - type: mrr_at_10
+      value: 79.4
+    - type: mrr_at_100
+      value: 79.64
+    - type: mrr_at_1000
+      value: 79.645
+    - type: mrr_at_3
+      value: 77.792
+    - type: mrr_at_5
+      value: 79.00399999999999
+    - type: ndcg_at_1
+      value: 59.25
+    - type: ndcg_at_10
+      value: 45.493
+    - type: ndcg_at_100
+      value: 51.461
+    - type: ndcg_at_1000
+      value: 58.62500000000001
+    - type: ndcg_at_3
+      value: 50.038000000000004
+    - type: ndcg_at_5
+      value: 47.796
+    - type: precision_at_1
+      value: 71.75
+    - type: precision_at_10
+      value: 36.325
+    - type: precision_at_100
+      value: 12.068
+    - type: precision_at_1000
+      value: 2.2089999999999996
+    - type: precision_at_3
+      value: 53.25
+    - type: precision_at_5
+      value: 46.650000000000006
+    - type: recall_at_1
+      value: 9.922
+    - type: recall_at_10
+      value: 27.371000000000002
+    - type: recall_at_100
+      value: 58.36900000000001
+    - type: recall_at_1000
+      value: 81.43
+    - type: recall_at_3
+      value: 16.817
+    - type: recall_at_5
+      value: 21.179000000000002
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 54.665
+    - type: f1
+      value: 49.727174733557334
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 77.523
+    - type: map_at_10
+      value: 85.917
+    - type: map_at_100
+      value: 86.102
+    - type: map_at_1000
+      value: 86.115
+    - type: map_at_3
+      value: 84.946
+    - type: map_at_5
+      value: 85.541
+    - type: mrr_at_1
+      value: 83.678
+    - type: mrr_at_10
+      value: 90.24600000000001
+    - type: mrr_at_100
+      value: 90.278
+    - type: mrr_at_1000
+      value: 90.279
+    - type: mrr_at_3
+      value: 89.779
+    - type: mrr_at_5
+      value: 90.09700000000001
+    - type: ndcg_at_1
+      value: 83.678
+    - type: ndcg_at_10
+      value: 89.34100000000001
+    - type: ndcg_at_100
+      value: 89.923
+    - type: ndcg_at_1000
+      value: 90.14
+    - type: ndcg_at_3
+      value: 88.01400000000001
+    - type: ndcg_at_5
+      value: 88.723
+    - type: precision_at_1
+      value: 83.678
+    - type: precision_at_10
+      value: 10.687000000000001
+    - type: precision_at_100
+      value: 1.123
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_3
+      value: 33.678000000000004
+    - type: precision_at_5
+      value: 20.771
+    - type: recall_at_1
+      value: 77.523
+    - type: recall_at_10
+      value: 95.48299999999999
+    - type: recall_at_100
+      value: 97.622
+    - type: recall_at_1000
+      value: 98.932
+    - type: recall_at_3
+      value: 91.797
+    - type: recall_at_5
+      value: 93.702
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.335
+    - type: map_at_10
+      value: 37.689
+    - type: map_at_100
+      value: 39.638
+    - type: map_at_1000
+      value: 39.805
+    - type: map_at_3
+      value: 33.099000000000004
+    - type: map_at_5
+      value: 35.563
+    - type: mrr_at_1
+      value: 45.525
+    - type: mrr_at_10
+      value: 54.07300000000001
+    - type: mrr_at_100
+      value: 54.736
+    - type: mrr_at_1000
+      value: 54.772
+    - type: mrr_at_3
+      value: 51.62
+    - type: mrr_at_5
+      value: 52.932
+    - type: ndcg_at_1
+      value: 45.525
+    - type: ndcg_at_10
+      value: 45.877
+    - type: ndcg_at_100
+      value: 52.428
+    - type: ndcg_at_1000
+      value: 55.089
+    - type: ndcg_at_3
+      value: 42.057
+    - type: ndcg_at_5
+      value: 43.067
+    - type: precision_at_1
+      value: 45.525
+    - type: precision_at_10
+      value: 12.67
+    - type: precision_at_100
+      value: 1.951
+    - type: precision_at_1000
+      value: 0.242
+    - type: precision_at_3
+      value: 28.035
+    - type: precision_at_5
+      value: 20.525
+    - type: recall_at_1
+      value: 23.335
+    - type: recall_at_10
+      value: 53.047
+    - type: recall_at_100
+      value: 77.061
+    - type: recall_at_1000
+      value: 92.842
+    - type: recall_at_3
+      value: 38.182
+    - type: recall_at_5
+      value: 44.094
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 41.918
+    - type: map_at_10
+      value: 69.01
+    - type: map_at_100
+      value: 69.806
+    - type: map_at_1000
+      value: 69.853
+    - type: map_at_3
+      value: 65.594
+    - type: map_at_5
+      value: 67.77300000000001
+    - type: mrr_at_1
+      value: 83.83500000000001
+    - type: mrr_at_10
+      value: 88.804
+    - type: mrr_at_100
+      value: 88.912
+    - type: mrr_at_1000
+      value: 88.915
+    - type: mrr_at_3
+      value: 88.091
+    - type: mrr_at_5
+      value: 88.564
+    - type: ndcg_at_1
+      value: 83.83500000000001
+    - type: ndcg_at_10
+      value: 76.627
+    - type: ndcg_at_100
+      value: 79.269
+    - type: ndcg_at_1000
+      value: 80.122
+    - type: ndcg_at_3
+      value: 71.98
+    - type: ndcg_at_5
+      value: 74.64
+    - type: precision_at_1
+      value: 83.83500000000001
+    - type: precision_at_10
+      value: 16.005
+    - type: precision_at_100
+      value: 1.806
+    - type: precision_at_1000
+      value: 0.192
+    - type: precision_at_3
+      value: 46.544999999999995
+    - type: precision_at_5
+      value: 30.026000000000003
+    - type: recall_at_1
+      value: 41.918
+    - type: recall_at_10
+      value: 80.027
+    - type: recall_at_100
+      value: 90.29700000000001
+    - type: recall_at_1000
+      value: 95.901
+    - type: recall_at_3
+      value: 69.818
+    - type: recall_at_5
+      value: 75.064
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 93.70040000000002
+    - type: ap
+      value: 90.58039961008838
+    - type: f1
+      value: 93.696322976805
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.388
+    - type: map_at_10
+      value: 36.164
+    - type: map_at_100
+      value: 37.289
+    - type: map_at_1000
+      value: 37.336000000000006
+    - type: map_at_3
+      value: 32.208
+    - type: map_at_5
+      value: 34.482
+    - type: mrr_at_1
+      value: 23.997
+    - type: mrr_at_10
+      value: 36.779
+    - type: mrr_at_100
+      value: 37.839
+    - type: mrr_at_1000
+      value: 37.881
+    - type: mrr_at_3
+      value: 32.93
+    - type: mrr_at_5
+      value: 35.158
+    - type: ndcg_at_1
+      value: 23.997
+    - type: ndcg_at_10
+      value: 43.282
+    - type: ndcg_at_100
+      value: 48.637
+    - type: ndcg_at_1000
+      value: 49.754
+    - type: ndcg_at_3
+      value: 35.266999999999996
+    - type: ndcg_at_5
+      value: 39.305
+    - type: precision_at_1
+      value: 23.997
+    - type: precision_at_10
+      value: 6.821000000000001
+    - type: precision_at_100
+      value: 0.9490000000000001
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 15.004999999999999
+    - type: precision_at_5
+      value: 11.054
+    - type: recall_at_1
+      value: 23.388
+    - type: recall_at_10
+      value: 65.127
+    - type: recall_at_100
+      value: 89.753
+    - type: recall_at_1000
+      value: 98.173
+    - type: recall_at_3
+      value: 43.4
+    - type: recall_at_5
+      value: 53.071999999999996
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 95.16187870497038
+    - type: f1
+      value: 94.92465121683176
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 80.03191974464204
+    - type: f1
+      value: 61.33007652226683
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 79.09885675857431
+    - type: f1
+      value: 76.96223435507879
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 81.94687289845326
+    - type: f1
+      value: 81.72213346382495
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 36.23008400582387
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 32.38335563600822
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.52782587210441
+    - type: mrr
+      value: 32.7035429328629
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.845999999999999
+    - type: map_at_10
+      value: 14.63
+    - type: map_at_100
+      value: 18.345
+    - type: map_at_1000
+      value: 19.807
+    - type: map_at_3
+      value: 10.953
+    - type: map_at_5
+      value: 12.697
+    - type: mrr_at_1
+      value: 47.368
+    - type: mrr_at_10
+      value: 56.408
+    - type: mrr_at_100
+      value: 56.991
+    - type: mrr_at_1000
+      value: 57.02700000000001
+    - type: mrr_at_3
+      value: 54.747
+    - type: mrr_at_5
+      value: 55.846
+    - type: ndcg_at_1
+      value: 45.82
+    - type: ndcg_at_10
+      value: 36.732
+    - type: ndcg_at_100
+      value: 34.036
+    - type: ndcg_at_1000
+      value: 42.918
+    - type: ndcg_at_3
+      value: 42.628
+    - type: ndcg_at_5
+      value: 40.128
+    - type: precision_at_1
+      value: 47.368
+    - type: precision_at_10
+      value: 26.904
+    - type: precision_at_100
+      value: 8.334
+    - type: precision_at_1000
+      value: 2.111
+    - type: precision_at_3
+      value: 40.144000000000005
+    - type: precision_at_5
+      value: 34.489
+    - type: recall_at_1
+      value: 6.845999999999999
+    - type: recall_at_10
+      value: 18.232
+    - type: recall_at_100
+      value: 34.136
+    - type: recall_at_1000
+      value: 65.57
+    - type: recall_at_3
+      value: 11.759
+    - type: recall_at_5
+      value: 14.707999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 32.607
+    - type: map_at_10
+      value: 48.68
+    - type: map_at_100
+      value: 49.631
+    - type: map_at_1000
+      value: 49.653999999999996
+    - type: map_at_3
+      value: 44.174
+    - type: map_at_5
+      value: 46.865
+    - type: mrr_at_1
+      value: 36.79
+    - type: mrr_at_10
+      value: 51.156
+    - type: mrr_at_100
+      value: 51.856
+    - type: mrr_at_1000
+      value: 51.870000000000005
+    - type: mrr_at_3
+      value: 47.455999999999996
+    - type: mrr_at_5
+      value: 49.724000000000004
+    - type: ndcg_at_1
+      value: 36.79
+    - type: ndcg_at_10
+      value: 56.541
+    - type: ndcg_at_100
+      value: 60.465
+    - type: ndcg_at_1000
+      value: 61.013
+    - type: ndcg_at_3
+      value: 48.209
+    - type: ndcg_at_5
+      value: 52.644000000000005
+    - type: precision_at_1
+      value: 36.79
+    - type: precision_at_10
+      value: 9.27
+    - type: precision_at_100
+      value: 1.149
+    - type: precision_at_1000
+      value: 0.12
+    - type: precision_at_3
+      value: 21.852
+    - type: precision_at_5
+      value: 15.672
+    - type: recall_at_1
+      value: 32.607
+    - type: recall_at_10
+      value: 77.957
+    - type: recall_at_100
+      value: 94.757
+    - type: recall_at_1000
+      value: 98.832
+    - type: recall_at_3
+      value: 56.61000000000001
+    - type: recall_at_5
+      value: 66.732
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 71.949
+    - type: map_at_10
+      value: 85.863
+    - type: map_at_100
+      value: 86.491
+    - type: map_at_1000
+      value: 86.505
+    - type: map_at_3
+      value: 83.043
+    - type: map_at_5
+      value: 84.8
+    - type: mrr_at_1
+      value: 82.93
+    - type: mrr_at_10
+      value: 88.716
+    - type: mrr_at_100
+      value: 88.805
+    - type: mrr_at_1000
+      value: 88.805
+    - type: mrr_at_3
+      value: 87.848
+    - type: mrr_at_5
+      value: 88.452
+    - type: ndcg_at_1
+      value: 82.94
+    - type: ndcg_at_10
+      value: 89.396
+    - type: ndcg_at_100
+      value: 90.523
+    - type: ndcg_at_1000
+      value: 90.596
+    - type: ndcg_at_3
+      value: 86.833
+    - type: ndcg_at_5
+      value: 88.225
+    - type: precision_at_1
+      value: 82.94
+    - type: precision_at_10
+      value: 13.522
+    - type: precision_at_100
+      value: 1.5350000000000001
+    - type: precision_at_1000
+      value: 0.157
+    - type: precision_at_3
+      value: 38.019999999999996
+    - type: precision_at_5
+      value: 24.874
+    - type: recall_at_1
+      value: 71.949
+    - type: recall_at_10
+      value: 95.985
+    - type: recall_at_100
+      value: 99.705
+    - type: recall_at_1000
+      value: 99.982
+    - type: recall_at_3
+      value: 88.413
+    - type: recall_at_5
+      value: 92.532
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 58.50397537756067
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 65.09111585312182
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.328
+    - type: map_at_10
+      value: 14.025000000000002
+    - type: map_at_100
+      value: 16.403000000000002
+    - type: map_at_1000
+      value: 16.755
+    - type: map_at_3
+      value: 10.128
+    - type: map_at_5
+      value: 12.042
+    - type: mrr_at_1
+      value: 26.3
+    - type: mrr_at_10
+      value: 38.027
+    - type: mrr_at_100
+      value: 39.112
+    - type: mrr_at_1000
+      value: 39.15
+    - type: mrr_at_3
+      value: 34.433
+    - type: mrr_at_5
+      value: 36.437999999999995
+    - type: ndcg_at_1
+      value: 26.3
+    - type: ndcg_at_10
+      value: 22.904
+    - type: ndcg_at_100
+      value: 31.808999999999997
+    - type: ndcg_at_1000
+      value: 37.408
+    - type: ndcg_at_3
+      value: 22.017999999999997
+    - type: ndcg_at_5
+      value: 19.122
+    - type: precision_at_1
+      value: 26.3
+    - type: precision_at_10
+      value: 11.84
+    - type: precision_at_100
+      value: 2.471
+    - type: precision_at_1000
+      value: 0.38
+    - type: precision_at_3
+      value: 20.767
+    - type: precision_at_5
+      value: 16.84
+    - type: recall_at_1
+      value: 5.328
+    - type: recall_at_10
+      value: 24.0
+    - type: recall_at_100
+      value: 50.173
+    - type: recall_at_1000
+      value: 77.22200000000001
+    - type: recall_at_3
+      value: 12.652
+    - type: recall_at_5
+      value: 17.092
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.24083803725871
+    - type: cos_sim_spearman
+      value: 81.00003675131066
+    - type: euclidean_pearson
+      value: 81.66288190755017
+    - type: euclidean_spearman
+      value: 80.8591677979369
+    - type: manhattan_pearson
+      value: 81.65188499932559
+    - type: manhattan_spearman
+      value: 80.84969273926379
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.86245596720207
+    - type: cos_sim_spearman
+      value: 79.76982315849432
+    - type: euclidean_pearson
+      value: 84.08674590166918
+    - type: euclidean_spearman
+      value: 79.82960710579087
+    - type: manhattan_pearson
+      value: 84.05370633411236
+    - type: manhattan_spearman
+      value: 79.78889972125556
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.3103299403235
+    - type: cos_sim_spearman
+      value: 85.4504570470498
+    - type: euclidean_pearson
+      value: 84.78582379605986
+    - type: euclidean_spearman
+      value: 85.42627922874793
+    - type: manhattan_pearson
+      value: 84.72093039095986
+    - type: manhattan_spearman
+      value: 85.37545973987105
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.7811125755656
+    - type: cos_sim_spearman
+      value: 82.1418064552016
+    - type: euclidean_pearson
+      value: 81.76768854155489
+    - type: euclidean_spearman
+      value: 81.87925885994605
+    - type: manhattan_pearson
+      value: 81.73823381133532
+    - type: manhattan_spearman
+      value: 81.83848324852914
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.77170385298344
+    - type: cos_sim_spearman
+      value: 86.6995105881395
+    - type: euclidean_pearson
+      value: 86.09997193597131
+    - type: euclidean_spearman
+      value: 86.6691809576152
+    - type: manhattan_pearson
+      value: 86.05819223132623
+    - type: manhattan_spearman
+      value: 86.63909618446979
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.42286993921634
+    - type: cos_sim_spearman
+      value: 86.35209040752669
+    - type: euclidean_pearson
+      value: 85.42582334105671
+    - type: euclidean_spearman
+      value: 86.28412244758633
+    - type: manhattan_pearson
+      value: 85.43059107029272
+    - type: manhattan_spearman
+      value: 86.27090062806225
+  - 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: 85.27814644680406
+    - type: cos_sim_spearman
+      value: 86.13269619051003
+    - type: euclidean_pearson
+      value: 86.43759619681596
+    - type: euclidean_spearman
+      value: 85.35609983837541
+    - type: manhattan_pearson
+      value: 86.56900966648851
+    - type: manhattan_spearman
+      value: 85.53334508807559
+  - 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: 66.53522441640088
+    - type: cos_sim_spearman
+      value: 66.98460545542223
+    - type: euclidean_pearson
+      value: 68.14585405221024
+    - type: euclidean_spearman
+      value: 66.50486820484109
+    - type: manhattan_pearson
+      value: 68.07695653374543
+    - type: manhattan_spearman
+      value: 66.60229880909495
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.36210258340701
+    - type: cos_sim_spearman
+      value: 86.27961596583953
+    - type: euclidean_pearson
+      value: 85.05824596275431
+    - type: euclidean_spearman
+      value: 85.95626794662996
+    - type: manhattan_pearson
+      value: 85.08493690885169
+    - type: manhattan_spearman
+      value: 85.97991960000013
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 88.05926431433953
+    - type: mrr
+      value: 96.53995786348727
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 59.660999999999994
+    - type: map_at_10
+      value: 69.39999999999999
+    - type: map_at_100
+      value: 69.787
+    - type: map_at_1000
+      value: 69.82000000000001
+    - type: map_at_3
+      value: 66.43
+    - type: map_at_5
+      value: 67.989
+    - type: mrr_at_1
+      value: 63.0
+    - type: mrr_at_10
+      value: 70.509
+    - type: mrr_at_100
+      value: 70.792
+    - type: mrr_at_1000
+      value: 70.824
+    - type: mrr_at_3
+      value: 68.167
+    - type: mrr_at_5
+      value: 69.5
+    - type: ndcg_at_1
+      value: 63.0
+    - type: ndcg_at_10
+      value: 74.209
+    - type: ndcg_at_100
+      value: 75.74300000000001
+    - type: ndcg_at_1000
+      value: 76.423
+    - type: ndcg_at_3
+      value: 69.087
+    - type: ndcg_at_5
+      value: 71.42399999999999
+    - type: precision_at_1
+      value: 63.0
+    - type: precision_at_10
+      value: 9.966999999999999
+    - type: precision_at_100
+      value: 1.077
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 27.111
+    - type: precision_at_5
+      value: 17.8
+    - type: recall_at_1
+      value: 59.660999999999994
+    - type: recall_at_10
+      value: 87.922
+    - type: recall_at_100
+      value: 94.667
+    - type: recall_at_1000
+      value: 99.667
+    - type: recall_at_3
+      value: 73.906
+    - type: recall_at_5
+      value: 80.094
+  - 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: 96.78080271162648
+    - type: cos_sim_f1
+      value: 93.33333333333333
+    - type: cos_sim_precision
+      value: 95.02590673575129
+    - type: cos_sim_recall
+      value: 91.7
+    - type: dot_accuracy
+      value: 99.6960396039604
+    - type: dot_ap
+      value: 91.07533824017564
+    - type: dot_f1
+      value: 84.41432720232332
+    - type: dot_precision
+      value: 81.80112570356472
+    - type: dot_recall
+      value: 87.2
+    - type: euclidean_accuracy
+      value: 99.87425742574257
+    - type: euclidean_ap
+      value: 96.82184426825803
+    - type: euclidean_f1
+      value: 93.52371239163692
+    - type: euclidean_precision
+      value: 95.42143600416233
+    - type: euclidean_recall
+      value: 91.7
+    - type: manhattan_accuracy
+      value: 99.87425742574257
+    - type: manhattan_ap
+      value: 96.84824127992334
+    - type: manhattan_f1
+      value: 93.5500253936008
+    - type: manhattan_precision
+      value: 95.04643962848297
+    - type: manhattan_recall
+      value: 92.10000000000001
+    - type: max_accuracy
+      value: 99.87425742574257
+    - type: max_ap
+      value: 96.84824127992334
+    - type: max_f1
+      value: 93.5500253936008
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 66.80646711150717
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 35.28773452906587
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 55.28585488417727
+    - type: mrr
+      value: 56.23835519056107
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.303110609843536
+    - type: cos_sim_spearman
+      value: 32.121313527446944
+    - type: dot_pearson
+      value: 28.14303657628762
+    - type: dot_spearman
+      value: 27.80000491563264
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.243
+    - type: map_at_10
+      value: 2.099
+    - type: map_at_100
+      value: 10.894
+    - type: map_at_1000
+      value: 24.587999999999997
+    - type: map_at_3
+      value: 0.6910000000000001
+    - type: map_at_5
+      value: 1.1039999999999999
+    - type: mrr_at_1
+      value: 90.0
+    - type: mrr_at_10
+      value: 94.5
+    - type: mrr_at_100
+      value: 94.5
+    - type: mrr_at_1000
+      value: 94.5
+    - type: mrr_at_3
+      value: 94.0
+    - type: mrr_at_5
+      value: 94.5
+    - type: ndcg_at_1
+      value: 87.0
+    - type: ndcg_at_10
+      value: 80.265
+    - type: ndcg_at_100
+      value: 57.371
+    - type: ndcg_at_1000
+      value: 49.147999999999996
+    - type: ndcg_at_3
+      value: 83.296
+    - type: ndcg_at_5
+      value: 82.003
+    - type: precision_at_1
+      value: 90.0
+    - type: precision_at_10
+      value: 85.0
+    - type: precision_at_100
+      value: 58.36
+    - type: precision_at_1000
+      value: 21.352
+    - type: precision_at_3
+      value: 87.333
+    - type: precision_at_5
+      value: 86.8
+    - type: recall_at_1
+      value: 0.243
+    - type: recall_at_10
+      value: 2.262
+    - type: recall_at_100
+      value: 13.919
+    - type: recall_at_1000
+      value: 45.251999999999995
+    - type: recall_at_3
+      value: 0.711
+    - type: recall_at_5
+      value: 1.162
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.334
+    - type: map_at_10
+      value: 11.221
+    - type: map_at_100
+      value: 18.207
+    - type: map_at_1000
+      value: 19.588
+    - type: map_at_3
+      value: 6.085
+    - type: map_at_5
+      value: 8.773
+    - type: mrr_at_1
+      value: 42.857
+    - type: mrr_at_10
+      value: 55.175
+    - type: mrr_at_100
+      value: 56.133
+    - type: mrr_at_1000
+      value: 56.133
+    - type: mrr_at_3
+      value: 51.019999999999996
+    - type: mrr_at_5
+      value: 53.878
+    - type: ndcg_at_1
+      value: 39.796
+    - type: ndcg_at_10
+      value: 27.533
+    - type: ndcg_at_100
+      value: 39.823
+    - type: ndcg_at_1000
+      value: 50.412
+    - type: ndcg_at_3
+      value: 32.558
+    - type: ndcg_at_5
+      value: 31.863000000000003
+    - type: precision_at_1
+      value: 42.857
+    - type: precision_at_10
+      value: 23.673
+    - type: precision_at_100
+      value: 8.184
+    - type: precision_at_1000
+      value: 1.522
+    - type: precision_at_3
+      value: 32.653
+    - type: precision_at_5
+      value: 31.429000000000002
+    - type: recall_at_1
+      value: 3.334
+    - type: recall_at_10
+      value: 16.645
+    - type: recall_at_100
+      value: 49.876
+    - type: recall_at_1000
+      value: 82.512
+    - type: recall_at_3
+      value: 6.763
+    - type: recall_at_5
+      value: 11.461
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 72.1264
+    - type: ap
+      value: 14.7287447276112
+    - type: f1
+      value: 55.46235112706406
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 61.07809847198642
+    - type: f1
+      value: 61.377630233653036
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 54.10055371858293
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.35769207844072
+    - type: cos_sim_ap
+      value: 78.4339038750439
+    - type: cos_sim_f1
+      value: 71.50245668476856
+    - type: cos_sim_precision
+      value: 70.10649087221095
+    - type: cos_sim_recall
+      value: 72.95514511873351
+    - type: dot_accuracy
+      value: 82.8396018358467
+    - type: dot_ap
+      value: 62.120847549876125
+    - type: dot_f1
+      value: 58.371350364963504
+    - type: dot_precision
+      value: 51.40618722378465
+    - type: dot_recall
+      value: 67.5197889182058
+    - type: euclidean_accuracy
+      value: 87.52458723252072
+    - type: euclidean_ap
+      value: 78.77453300254041
+    - type: euclidean_f1
+      value: 71.625
+    - type: euclidean_precision
+      value: 68.05225653206651
+    - type: euclidean_recall
+      value: 75.59366754617413
+    - type: manhattan_accuracy
+      value: 87.536508314955
+    - type: manhattan_ap
+      value: 78.75992501489914
+    - type: manhattan_f1
+      value: 71.6182364729459
+    - type: manhattan_precision
+      value: 68.16881258941345
+    - type: manhattan_recall
+      value: 75.4353562005277
+    - type: max_accuracy
+      value: 87.536508314955
+    - type: max_ap
+      value: 78.77453300254041
+    - type: max_f1
+      value: 71.625
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.48721232584313
+    - type: cos_sim_ap
+      value: 84.74350149247529
+    - type: cos_sim_f1
+      value: 76.55672345052554
+    - type: cos_sim_precision
+      value: 72.32570880701273
+    - type: cos_sim_recall
+      value: 81.3135201724669
+    - type: dot_accuracy
+      value: 84.74599293670198
+    - type: dot_ap
+      value: 75.44592372136103
+    - type: dot_f1
+      value: 69.34277843368751
+    - type: dot_precision
+      value: 64.76642384548553
+    - type: dot_recall
+      value: 74.61502925777641
+    - type: euclidean_accuracy
+      value: 88.52020025614158
+    - type: euclidean_ap
+      value: 85.01860042460612
+    - type: euclidean_f1
+      value: 76.97924816512052
+    - type: euclidean_precision
+      value: 74.57590413628817
+    - type: euclidean_recall
+      value: 79.54265475823837
+    - type: manhattan_accuracy
+      value: 88.51049792370085
+    - type: manhattan_ap
+      value: 85.03208810011937
+    - type: manhattan_f1
+      value: 77.0230840258541
+    - type: manhattan_precision
+      value: 74.01859870802868
+    - type: manhattan_recall
+      value: 80.28179858330768
+    - type: max_accuracy
+      value: 88.52020025614158
+    - type: max_ap
+      value: 85.03208810011937
+    - type: max_f1
+      value: 77.0230840258541
+---