Update README.md

README.md

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 ---
 license: cc-by-nc-4.0
+tags:
+- mteb
+model-index:
+- name: SONAR
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 78.98507462686568
+    - type: ap
+      value: 44.08138737273602
+    - type: f1
+      value: 73.46285533200773
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 61.5211
+    - type: ap
+      value: 57.2344349163483
+    - type: f1
+      value: 60.73005370602843
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 30.491999999999997
+    - type: f1
+      value: 29.557204623883994
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.677
+    - type: map_at_10
+      value: 14.732000000000001
+    - type: map_at_100
+      value: 15.501999999999999
+    - type: map_at_1000
+      value: 15.583
+    - type: map_at_3
+      value: 12.553
+    - type: map_at_5
+      value: 13.822999999999999
+    - type: mrr_at_1
+      value: 8.819
+    - type: mrr_at_10
+      value: 14.787
+    - type: mrr_at_100
+      value: 15.557000000000002
+    - type: mrr_at_1000
+      value: 15.638
+    - type: mrr_at_3
+      value: 12.648000000000001
+    - type: mrr_at_5
+      value: 13.879
+    - type: ndcg_at_1
+      value: 8.677
+    - type: ndcg_at_10
+      value: 18.295
+    - type: ndcg_at_100
+      value: 22.353
+    - type: ndcg_at_1000
+      value: 24.948999999999998
+    - type: ndcg_at_3
+      value: 13.789000000000001
+    - type: ndcg_at_5
+      value: 16.075
+    - type: precision_at_1
+      value: 8.677
+    - type: precision_at_10
+      value: 2.98
+    - type: precision_at_100
+      value: 0.49500000000000005
+    - type: precision_at_1000
+      value: 0.07100000000000001
+    - type: precision_at_3
+      value: 5.785
+    - type: precision_at_5
+      value: 4.58
+    - type: recall_at_1
+      value: 8.677
+    - type: recall_at_10
+      value: 29.801
+    - type: recall_at_100
+      value: 49.502
+    - type: recall_at_1000
+      value: 70.91
+    - type: recall_at_3
+      value: 17.354
+    - type: recall_at_5
+      value: 22.902
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 25.78534535464707
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 22.935310338963955
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 50.88606427049027
+    - type: mrr
+      value: 65.13004001231148
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.15058570798328
+    - type: cos_sim_spearman
+      value: 79.10541692841936
+    - type: euclidean_pearson
+      value: 57.77256072255626
+    - type: euclidean_spearman
+      value: 61.9206880133157
+    - type: manhattan_pearson
+      value: 57.61971995547671
+    - type: manhattan_spearman
+      value: 61.65983869619309
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 70.12012987012987
+    - type: f1
+      value: 69.2899512261214
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 18.50684170881271
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 16.69474554114157
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.655000000000001
+    - type: map_at_10
+      value: 11.681999999999999
+    - type: map_at_100
+      value: 12.464
+    - type: map_at_1000
+      value: 12.603
+    - type: map_at_3
+      value: 10.514
+    - type: map_at_5
+      value: 11.083
+    - type: mrr_at_1
+      value: 10.157
+    - type: mrr_at_10
+      value: 14.773
+    - type: mrr_at_100
+      value: 15.581999999999999
+    - type: mrr_at_1000
+      value: 15.68
+    - type: mrr_at_3
+      value: 13.519
+    - type: mrr_at_5
+      value: 14.049
+    - type: ndcg_at_1
+      value: 10.157
+    - type: ndcg_at_10
+      value: 14.527999999999999
+    - type: ndcg_at_100
+      value: 18.695999999999998
+    - type: ndcg_at_1000
+      value: 22.709
+    - type: ndcg_at_3
+      value: 12.458
+    - type: ndcg_at_5
+      value: 13.152
+    - type: precision_at_1
+      value: 10.157
+    - type: precision_at_10
+      value: 2.976
+    - type: precision_at_100
+      value: 0.634
+    - type: precision_at_1000
+      value: 0.131
+    - type: precision_at_3
+      value: 6.152
+    - type: precision_at_5
+      value: 4.378
+    - type: recall_at_1
+      value: 7.655000000000001
+    - type: recall_at_10
+      value: 20.105
+    - type: recall_at_100
+      value: 39.181
+    - type: recall_at_1000
+      value: 68.06400000000001
+    - type: recall_at_3
+      value: 14.033000000000001
+    - type: recall_at_5
+      value: 16.209
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.2329999999999997
+    - type: map_at_10
+      value: 5.378
+    - type: map_at_100
+      value: 5.774
+    - type: map_at_1000
+      value: 5.863
+    - type: map_at_3
+      value: 4.598
+    - type: map_at_5
+      value: 4.9750000000000005
+    - type: mrr_at_1
+      value: 4.076
+    - type: mrr_at_10
+      value: 6.679
+    - type: mrr_at_100
+      value: 7.151000000000001
+    - type: mrr_at_1000
+      value: 7.24
+    - type: mrr_at_3
+      value: 5.722
+    - type: mrr_at_5
+      value: 6.2059999999999995
+    - type: ndcg_at_1
+      value: 4.076
+    - type: ndcg_at_10
+      value: 6.994
+    - type: ndcg_at_100
+      value: 9.366
+    - type: ndcg_at_1000
+      value: 12.181000000000001
+    - type: ndcg_at_3
+      value: 5.356000000000001
+    - type: ndcg_at_5
+      value: 6.008
+    - type: precision_at_1
+      value: 4.076
+    - type: precision_at_10
+      value: 1.459
+    - type: precision_at_100
+      value: 0.334
+    - type: precision_at_1000
+      value: 0.075
+    - type: precision_at_3
+      value: 2.718
+    - type: precision_at_5
+      value: 2.089
+    - type: recall_at_1
+      value: 3.2329999999999997
+    - type: recall_at_10
+      value: 10.749
+    - type: recall_at_100
+      value: 21.776
+    - type: recall_at_1000
+      value: 42.278999999999996
+    - type: recall_at_3
+      value: 6.146999999999999
+    - type: recall_at_5
+      value: 7.779999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.036
+    - type: map_at_10
+      value: 12.727
+    - type: map_at_100
+      value: 13.532
+    - type: map_at_1000
+      value: 13.653
+    - type: map_at_3
+      value: 11.15
+    - type: map_at_5
+      value: 11.965
+    - type: mrr_at_1
+      value: 9.404
+    - type: mrr_at_10
+      value: 14.493
+    - type: mrr_at_100
+      value: 15.274
+    - type: mrr_at_1000
+      value: 15.370000000000001
+    - type: mrr_at_3
+      value: 12.853
+    - type: mrr_at_5
+      value: 13.696
+    - type: ndcg_at_1
+      value: 9.404
+    - type: ndcg_at_10
+      value: 15.784
+    - type: ndcg_at_100
+      value: 20.104
+    - type: ndcg_at_1000
+      value: 23.357
+    - type: ndcg_at_3
+      value: 12.61
+    - type: ndcg_at_5
+      value: 13.988
+    - type: precision_at_1
+      value: 9.404
+    - type: precision_at_10
+      value: 2.947
+    - type: precision_at_100
+      value: 0.562
+    - type: precision_at_1000
+      value: 0.093
+    - type: precision_at_3
+      value: 6.04
+    - type: precision_at_5
+      value: 4.4639999999999995
+    - type: recall_at_1
+      value: 8.036
+    - type: recall_at_10
+      value: 23.429
+    - type: recall_at_100
+      value: 43.728
+    - type: recall_at_1000
+      value: 68.10000000000001
+    - type: recall_at_3
+      value: 14.99
+    - type: recall_at_5
+      value: 18.274
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.653
+    - type: map_at_10
+      value: 5.941
+    - type: map_at_100
+      value: 6.512
+    - type: map_at_1000
+      value: 6.6129999999999995
+    - type: map_at_3
+      value: 5.2540000000000004
+    - type: map_at_5
+      value: 5.645
+    - type: mrr_at_1
+      value: 3.955
+    - type: mrr_at_10
+      value: 6.4079999999999995
+    - type: mrr_at_100
+      value: 7.005999999999999
+    - type: mrr_at_1000
+      value: 7.105
+    - type: mrr_at_3
+      value: 5.593
+    - type: mrr_at_5
+      value: 6.051
+    - type: ndcg_at_1
+      value: 3.955
+    - type: ndcg_at_10
+      value: 7.342
+    - type: ndcg_at_100
+      value: 10.543
+    - type: ndcg_at_1000
+      value: 14.011000000000001
+    - type: ndcg_at_3
+      value: 5.853
+    - type: ndcg_at_5
+      value: 6.586
+    - type: precision_at_1
+      value: 3.955
+    - type: precision_at_10
+      value: 1.266
+    - type: precision_at_100
+      value: 0.315
+    - type: precision_at_1000
+      value: 0.066
+    - type: precision_at_3
+      value: 2.5989999999999998
+    - type: precision_at_5
+      value: 1.966
+    - type: recall_at_1
+      value: 3.653
+    - type: recall_at_10
+      value: 11.232000000000001
+    - type: recall_at_100
+      value: 26.625
+    - type: recall_at_1000
+      value: 54.476
+    - type: recall_at_3
+      value: 7.269
+    - type: recall_at_5
+      value: 8.982999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.257
+    - type: map_at_10
+      value: 3.881
+    - type: map_at_100
+      value: 4.279
+    - type: map_at_1000
+      value: 4.417
+    - type: map_at_3
+      value: 3.4070000000000005
+    - type: map_at_5
+      value: 3.744
+    - type: mrr_at_1
+      value: 2.9850000000000003
+    - type: mrr_at_10
+      value: 4.756
+    - type: mrr_at_100
+      value: 5.228
+    - type: mrr_at_1000
+      value: 5.354
+    - type: mrr_at_3
+      value: 4.125
+    - type: mrr_at_5
+      value: 4.567
+    - type: ndcg_at_1
+      value: 2.9850000000000003
+    - type: ndcg_at_10
+      value: 4.936999999999999
+    - type: ndcg_at_100
+      value: 7.664
+    - type: ndcg_at_1000
+      value: 12.045
+    - type: ndcg_at_3
+      value: 3.956
+    - type: ndcg_at_5
+      value: 4.584
+    - type: precision_at_1
+      value: 2.9850000000000003
+    - type: precision_at_10
+      value: 0.9329999999999999
+    - type: precision_at_100
+      value: 0.29
+    - type: precision_at_1000
+      value: 0.083
+    - type: precision_at_3
+      value: 1.949
+    - type: precision_at_5
+      value: 1.567
+    - type: recall_at_1
+      value: 2.257
+    - type: recall_at_10
+      value: 7.382
+    - type: recall_at_100
+      value: 20.689
+    - type: recall_at_1000
+      value: 53.586
+    - type: recall_at_3
+      value: 4.786
+    - type: recall_at_5
+      value: 6.2829999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.691
+    - type: map_at_10
+      value: 9.447
+    - type: map_at_100
+      value: 10.174
+    - type: map_at_1000
+      value: 10.308
+    - type: map_at_3
+      value: 8.187999999999999
+    - type: map_at_5
+      value: 8.852
+    - type: mrr_at_1
+      value: 8.566
+    - type: mrr_at_10
+      value: 12.036
+    - type: mrr_at_100
+      value: 12.817
+    - type: mrr_at_1000
+      value: 12.918
+    - type: mrr_at_3
+      value: 10.539
+    - type: mrr_at_5
+      value: 11.381
+    - type: ndcg_at_1
+      value: 8.566
+    - type: ndcg_at_10
+      value: 11.95
+    - type: ndcg_at_100
+      value: 15.831000000000001
+    - type: ndcg_at_1000
+      value: 19.561
+    - type: ndcg_at_3
+      value: 9.467
+    - type: ndcg_at_5
+      value: 10.544
+    - type: precision_at_1
+      value: 8.566
+    - type: precision_at_10
+      value: 2.387
+    - type: precision_at_100
+      value: 0.538
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 4.556
+    - type: precision_at_5
+      value: 3.5029999999999997
+    - type: recall_at_1
+      value: 6.691
+    - type: recall_at_10
+      value: 17.375
+    - type: recall_at_100
+      value: 34.503
+    - type: recall_at_1000
+      value: 61.492000000000004
+    - type: recall_at_3
+      value: 10.134
+    - type: recall_at_5
+      value: 13.056999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.68
+    - type: map_at_10
+      value: 6.776999999999999
+    - type: map_at_100
+      value: 7.207
+    - type: map_at_1000
+      value: 7.321999999999999
+    - type: map_at_3
+      value: 6.007
+    - type: map_at_5
+      value: 6.356000000000001
+    - type: mrr_at_1
+      value: 5.479
+    - type: mrr_at_10
+      value: 8.094999999999999
+    - type: mrr_at_100
+      value: 8.622
+    - type: mrr_at_1000
+      value: 8.729000000000001
+    - type: mrr_at_3
+      value: 7.249
+    - type: mrr_at_5
+      value: 7.6770000000000005
+    - type: ndcg_at_1
+      value: 5.479
+    - type: ndcg_at_10
+      value: 8.474
+    - type: ndcg_at_100
+      value: 11.134
+    - type: ndcg_at_1000
+      value: 14.759
+    - type: ndcg_at_3
+      value: 6.888
+    - type: ndcg_at_5
+      value: 7.504
+    - type: precision_at_1
+      value: 5.479
+    - type: precision_at_10
+      value: 1.575
+    - type: precision_at_100
+      value: 0.35000000000000003
+    - type: precision_at_1000
+      value: 0.08099999999999999
+    - type: precision_at_3
+      value: 3.272
+    - type: precision_at_5
+      value: 2.374
+    - type: recall_at_1
+      value: 4.68
+    - type: recall_at_10
+      value: 12.552
+    - type: recall_at_100
+      value: 24.91
+    - type: recall_at_1000
+      value: 52.019999999999996
+    - type: recall_at_3
+      value: 8.057
+    - type: recall_at_5
+      value: 9.629999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.74175
+    - type: map_at_10
+      value: 7.103916666666667
+    - type: map_at_100
+      value: 7.656499999999999
+    - type: map_at_1000
+      value: 7.7675833333333335
+    - type: map_at_3
+      value: 6.262416666666666
+    - type: map_at_5
+      value: 6.6939166666666665
+    - type: mrr_at_1
+      value: 5.780583333333332
+    - type: mrr_at_10
+      value: 8.576333333333332
+    - type: mrr_at_100
+      value: 9.179749999999999
+    - type: mrr_at_1000
+      value: 9.279083333333334
+    - type: mrr_at_3
+      value: 7.608833333333334
+    - type: mrr_at_5
+      value: 8.111333333333333
+    - type: ndcg_at_1
+      value: 5.780583333333332
+    - type: ndcg_at_10
+      value: 8.866166666666668
+    - type: ndcg_at_100
+      value: 12.037083333333333
+    - type: ndcg_at_1000
+      value: 15.455499999999997
+    - type: ndcg_at_3
+      value: 7.179083333333335
+    - type: ndcg_at_5
+      value: 7.897166666666666
+    - type: precision_at_1
+      value: 5.780583333333332
+    - type: precision_at_10
+      value: 1.6935833333333334
+    - type: precision_at_100
+      value: 0.3921666666666666
+    - type: precision_at_1000
+      value: 0.08391666666666665
+    - type: precision_at_3
+      value: 3.425416666666666
+    - type: precision_at_5
+      value: 2.557083333333333
+    - type: recall_at_1
+      value: 4.74175
+    - type: recall_at_10
+      value: 12.889083333333334
+    - type: recall_at_100
+      value: 27.81866666666667
+    - type: recall_at_1000
+      value: 53.52316666666667
+    - type: recall_at_3
+      value: 8.179333333333334
+    - type: recall_at_5
+      value: 10.004083333333334
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.7130000000000005
+    - type: map_at_10
+      value: 5.734
+    - type: map_at_100
+      value: 6.297999999999999
+    - type: map_at_1000
+      value: 6.388000000000001
+    - type: map_at_3
+      value: 5.119
+    - type: map_at_5
+      value: 5.432
+    - type: mrr_at_1
+      value: 4.9079999999999995
+    - type: mrr_at_10
+      value: 7.2940000000000005
+    - type: mrr_at_100
+      value: 7.8549999999999995
+    - type: mrr_at_1000
+      value: 7.95
+    - type: mrr_at_3
+      value: 6.621
+    - type: mrr_at_5
+      value: 6.950000000000001
+    - type: ndcg_at_1
+      value: 4.9079999999999995
+    - type: ndcg_at_10
+      value: 7.167999999999999
+    - type: ndcg_at_100
+      value: 10.436
+    - type: ndcg_at_1000
+      value: 13.370999999999999
+    - type: ndcg_at_3
+      value: 5.959
+    - type: ndcg_at_5
+      value: 6.481000000000001
+    - type: precision_at_1
+      value: 4.9079999999999995
+    - type: precision_at_10
+      value: 1.3339999999999999
+    - type: precision_at_100
+      value: 0.33899999999999997
+    - type: precision_at_1000
+      value: 0.065
+    - type: precision_at_3
+      value: 2.965
+    - type: precision_at_5
+      value: 2.117
+    - type: recall_at_1
+      value: 3.7130000000000005
+    - type: recall_at_10
+      value: 10.156
+    - type: recall_at_100
+      value: 25.955000000000002
+    - type: recall_at_1000
+      value: 48.891
+    - type: recall_at_3
+      value: 6.795
+    - type: recall_at_5
+      value: 8.187999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.114
+    - type: map_at_10
+      value: 3.4290000000000003
+    - type: map_at_100
+      value: 3.789
+    - type: map_at_1000
+      value: 3.878
+    - type: map_at_3
+      value: 2.9139999999999997
+    - type: map_at_5
+      value: 3.148
+    - type: mrr_at_1
+      value: 2.65
+    - type: mrr_at_10
+      value: 4.252000000000001
+    - type: mrr_at_100
+      value: 4.689
+    - type: mrr_at_1000
+      value: 4.782
+    - type: mrr_at_3
+      value: 3.671
+    - type: mrr_at_5
+      value: 3.9370000000000003
+    - type: ndcg_at_1
+      value: 2.65
+    - type: ndcg_at_10
+      value: 4.47
+    - type: ndcg_at_100
+      value: 6.654
+    - type: ndcg_at_1000
+      value: 9.713
+    - type: ndcg_at_3
+      value: 3.424
+    - type: ndcg_at_5
+      value: 3.794
+    - type: precision_at_1
+      value: 2.65
+    - type: precision_at_10
+      value: 0.9119999999999999
+    - type: precision_at_100
+      value: 0.248
+    - type: precision_at_1000
+      value: 0.063
+    - type: precision_at_3
+      value: 1.7209999999999999
+    - type: precision_at_5
+      value: 1.287
+    - type: recall_at_1
+      value: 2.114
+    - type: recall_at_10
+      value: 6.927
+    - type: recall_at_100
+      value: 17.26
+    - type: recall_at_1000
+      value: 40.672999999999995
+    - type: recall_at_3
+      value: 3.8859999999999997
+    - type: recall_at_5
+      value: 4.861
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.055
+    - type: map_at_10
+      value: 7.704999999999999
+    - type: map_at_100
+      value: 8.169
+    - type: map_at_1000
+      value: 8.257
+    - type: map_at_3
+      value: 7.033
+    - type: map_at_5
+      value: 7.4079999999999995
+    - type: mrr_at_1
+      value: 6.81
+    - type: mrr_at_10
+      value: 8.955
+    - type: mrr_at_100
+      value: 9.497
+    - type: mrr_at_1000
+      value: 9.583
+    - type: mrr_at_3
+      value: 8.116
+    - type: mrr_at_5
+      value: 8.526
+    - type: ndcg_at_1
+      value: 6.81
+    - type: ndcg_at_10
+      value: 9.113
+    - type: ndcg_at_100
+      value: 11.884
+    - type: ndcg_at_1000
+      value: 14.762
+    - type: ndcg_at_3
+      value: 7.675999999999999
+    - type: ndcg_at_5
+      value: 8.325000000000001
+    - type: precision_at_1
+      value: 6.81
+    - type: precision_at_10
+      value: 1.558
+    - type: precision_at_100
+      value: 0.34299999999999997
+    - type: precision_at_1000
+      value: 0.068
+    - type: precision_at_3
+      value: 3.2960000000000003
+    - type: precision_at_5
+      value: 2.388
+    - type: recall_at_1
+      value: 6.055
+    - type: recall_at_10
+      value: 12.219
+    - type: recall_at_100
+      value: 25.304
+    - type: recall_at_1000
+      value: 47.204
+    - type: recall_at_3
+      value: 8.387
+    - type: recall_at_5
+      value: 9.991
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.043
+    - type: map_at_10
+      value: 7.394
+    - type: map_at_100
+      value: 8.096
+    - type: map_at_1000
+      value: 8.243
+    - type: map_at_3
+      value: 6.300999999999999
+    - type: map_at_5
+      value: 6.7780000000000005
+    - type: mrr_at_1
+      value: 6.126
+    - type: mrr_at_10
+      value: 9.308
+    - type: mrr_at_100
+      value: 10.091
+    - type: mrr_at_1000
+      value: 10.206
+    - type: mrr_at_3
+      value: 7.938000000000001
+    - type: mrr_at_5
+      value: 8.64
+    - type: ndcg_at_1
+      value: 6.126
+    - type: ndcg_at_10
+      value: 9.474
+    - type: ndcg_at_100
+      value: 13.238
+    - type: ndcg_at_1000
+      value: 17.366
+    - type: ndcg_at_3
+      value: 7.3260000000000005
+    - type: ndcg_at_5
+      value: 8.167
+    - type: precision_at_1
+      value: 6.126
+    - type: precision_at_10
+      value: 1.9959999999999998
+    - type: precision_at_100
+      value: 0.494
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 3.557
+    - type: precision_at_5
+      value: 2.9250000000000003
+    - type: recall_at_1
+      value: 5.043
+    - type: recall_at_10
+      value: 13.812
+    - type: recall_at_100
+      value: 31.375999999999998
+    - type: recall_at_1000
+      value: 61.309999999999995
+    - type: recall_at_3
+      value: 7.8020000000000005
+    - type: recall_at_5
+      value: 9.725999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.771
+    - type: map_at_10
+      value: 5.152
+    - type: map_at_100
+      value: 5.584
+    - type: map_at_1000
+      value: 5.666
+    - type: map_at_3
+      value: 4.664
+    - type: map_at_5
+      value: 4.941
+    - type: mrr_at_1
+      value: 4.251
+    - type: mrr_at_10
+      value: 5.867
+    - type: mrr_at_100
+      value: 6.345000000000001
+    - type: mrr_at_1000
+      value: 6.432
+    - type: mrr_at_3
+      value: 5.36
+    - type: mrr_at_5
+      value: 5.656
+    - type: ndcg_at_1
+      value: 4.251
+    - type: ndcg_at_10
+      value: 6.16
+    - type: ndcg_at_100
+      value: 8.895
+    - type: ndcg_at_1000
+      value: 11.631
+    - type: ndcg_at_3
+      value: 5.176
+    - type: ndcg_at_5
+      value: 5.633
+    - type: precision_at_1
+      value: 4.251
+    - type: precision_at_10
+      value: 0.98
+    - type: precision_at_100
+      value: 0.259
+    - type: precision_at_1000
+      value: 0.053
+    - type: precision_at_3
+      value: 2.2800000000000002
+    - type: precision_at_5
+      value: 1.627
+    - type: recall_at_1
+      value: 3.771
+    - type: recall_at_10
+      value: 8.731
+    - type: recall_at_100
+      value: 22.517
+    - type: recall_at_1000
+      value: 44.183
+    - type: recall_at_3
+      value: 5.866
+    - type: recall_at_5
+      value: 7.066999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.543
+    - type: map_at_10
+      value: 1.027
+    - type: map_at_100
+      value: 1.228
+    - type: map_at_1000
+      value: 1.266
+    - type: map_at_3
+      value: 0.756
+    - type: map_at_5
+      value: 0.877
+    - type: mrr_at_1
+      value: 1.3679999999999999
+    - type: mrr_at_10
+      value: 2.474
+    - type: mrr_at_100
+      value: 2.8369999999999997
+    - type: mrr_at_1000
+      value: 2.894
+    - type: mrr_at_3
+      value: 1.8780000000000001
+    - type: mrr_at_5
+      value: 2.1319999999999997
+    - type: ndcg_at_1
+      value: 1.3679999999999999
+    - type: ndcg_at_10
+      value: 1.791
+    - type: ndcg_at_100
+      value: 3.06
+    - type: ndcg_at_1000
+      value: 4.501
+    - type: ndcg_at_3
+      value: 1.16
+    - type: ndcg_at_5
+      value: 1.3419999999999999
+    - type: precision_at_1
+      value: 1.3679999999999999
+    - type: precision_at_10
+      value: 0.697
+    - type: precision_at_100
+      value: 0.193
+    - type: precision_at_1000
+      value: 0.045
+    - type: precision_at_3
+      value: 0.9339999999999999
+    - type: precision_at_5
+      value: 0.808
+    - type: recall_at_1
+      value: 0.543
+    - type: recall_at_10
+      value: 2.5149999999999997
+    - type: recall_at_100
+      value: 7.356999999999999
+    - type: recall_at_1000
+      value: 16.233
+    - type: recall_at_3
+      value: 1.018
+    - type: recall_at_5
+      value: 1.5150000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.541
+    - type: map_at_10
+      value: 1.1560000000000001
+    - type: map_at_100
+      value: 1.508
+    - type: map_at_1000
+      value: 1.598
+    - type: map_at_3
+      value: 0.918
+    - type: map_at_5
+      value: 0.992
+    - type: mrr_at_1
+      value: 9.5
+    - type: mrr_at_10
+      value: 13.446
+    - type: mrr_at_100
+      value: 13.935
+    - type: mrr_at_1000
+      value: 14.008999999999999
+    - type: mrr_at_3
+      value: 12.083
+    - type: mrr_at_5
+      value: 12.733
+    - type: ndcg_at_1
+      value: 5.75
+    - type: ndcg_at_10
+      value: 3.9210000000000003
+    - type: ndcg_at_100
+      value: 3.975
+    - type: ndcg_at_1000
+      value: 5.634
+    - type: ndcg_at_3
+      value: 4.87
+    - type: ndcg_at_5
+      value: 4.259
+    - type: precision_at_1
+      value: 9.5
+    - type: precision_at_10
+      value: 3.9
+    - type: precision_at_100
+      value: 1.015
+    - type: precision_at_1000
+      value: 0.297
+    - type: precision_at_3
+      value: 6.75
+    - type: precision_at_5
+      value: 5.25
+    - type: recall_at_1
+      value: 0.541
+    - type: recall_at_10
+      value: 2.228
+    - type: recall_at_100
+      value: 4.9430000000000005
+    - type: recall_at_1000
+      value: 11.661000000000001
+    - type: recall_at_3
+      value: 1.264
+    - type: recall_at_5
+      value: 1.4869999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 36.52
+    - type: f1
+      value: 33.66164203159101
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.9249999999999999
+    - type: map_at_10
+      value: 1.311
+    - type: map_at_100
+      value: 1.363
+    - type: map_at_1000
+      value: 1.376
+    - type: map_at_3
+      value: 1.145
+    - type: map_at_5
+      value: 1.233
+    - type: mrr_at_1
+      value: 0.975
+    - type: mrr_at_10
+      value: 1.371
+    - type: mrr_at_100
+      value: 1.426
+    - type: mrr_at_1000
+      value: 1.439
+    - type: mrr_at_3
+      value: 1.195
+    - type: mrr_at_5
+      value: 1.286
+    - type: ndcg_at_1
+      value: 0.975
+    - type: ndcg_at_10
+      value: 1.5859999999999999
+    - type: ndcg_at_100
+      value: 1.8800000000000001
+    - type: ndcg_at_1000
+      value: 2.313
+    - type: ndcg_at_3
+      value: 1.229
+    - type: ndcg_at_5
+      value: 1.388
+    - type: precision_at_1
+      value: 0.975
+    - type: precision_at_10
+      value: 0.254
+    - type: precision_at_100
+      value: 0.041
+    - type: precision_at_1000
+      value: 0.008
+    - type: precision_at_3
+      value: 0.49
+    - type: precision_at_5
+      value: 0.375
+    - type: recall_at_1
+      value: 0.9249999999999999
+    - type: recall_at_10
+      value: 2.4250000000000003
+    - type: recall_at_100
+      value: 3.866
+    - type: recall_at_1000
+      value: 7.401000000000001
+    - type: recall_at_3
+      value: 1.4200000000000002
+    - type: recall_at_5
+      value: 1.81
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.032
+    - type: map_at_10
+      value: 1.8849999999999998
+    - type: map_at_100
+      value: 2.167
+    - type: map_at_1000
+      value: 2.266
+    - type: map_at_3
+      value: 1.609
+    - type: map_at_5
+      value: 1.7680000000000002
+    - type: mrr_at_1
+      value: 2.6229999999999998
+    - type: mrr_at_10
+      value: 4.479
+    - type: mrr_at_100
+      value: 4.92
+    - type: mrr_at_1000
+      value: 5.029999999999999
+    - type: mrr_at_3
+      value: 3.7289999999999996
+    - type: mrr_at_5
+      value: 4.138
+    - type: ndcg_at_1
+      value: 2.6229999999999998
+    - type: ndcg_at_10
+      value: 3.005
+    - type: ndcg_at_100
+      value: 5.01
+    - type: ndcg_at_1000
+      value: 8.312
+    - type: ndcg_at_3
+      value: 2.548
+    - type: ndcg_at_5
+      value: 2.735
+    - type: precision_at_1
+      value: 2.6229999999999998
+    - type: precision_at_10
+      value: 1.049
+    - type: precision_at_100
+      value: 0.31
+    - type: precision_at_1000
+      value: 0.089
+    - type: precision_at_3
+      value: 1.955
+    - type: precision_at_5
+      value: 1.574
+    - type: recall_at_1
+      value: 1.032
+    - type: recall_at_10
+      value: 3.888
+    - type: recall_at_100
+      value: 12.414
+    - type: recall_at_1000
+      value: 33.823
+    - type: recall_at_3
+      value: 2.37
+    - type: recall_at_5
+      value: 3.077
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.813
+    - type: map_at_10
+      value: 9.49
+    - type: map_at_100
+      value: 9.959
+    - type: map_at_1000
+      value: 10.024
+    - type: map_at_3
+      value: 8.618
+    - type: map_at_5
+      value: 9.084
+    - type: mrr_at_1
+      value: 13.626
+    - type: mrr_at_10
+      value: 17.818
+    - type: mrr_at_100
+      value: 18.412
+    - type: mrr_at_1000
+      value: 18.482000000000003
+    - type: mrr_at_3
+      value: 16.506999999999998
+    - type: mrr_at_5
+      value: 17.219
+    - type: ndcg_at_1
+      value: 13.626
+    - type: ndcg_at_10
+      value: 12.959999999999999
+    - type: ndcg_at_100
+      value: 15.562999999999999
+    - type: ndcg_at_1000
+      value: 17.571
+    - type: ndcg_at_3
+      value: 10.995000000000001
+    - type: ndcg_at_5
+      value: 11.908000000000001
+    - type: precision_at_1
+      value: 13.626
+    - type: precision_at_10
+      value: 2.995
+    - type: precision_at_100
+      value: 0.51
+    - type: precision_at_1000
+      value: 0.078
+    - type: precision_at_3
+      value: 7.000000000000001
+    - type: precision_at_5
+      value: 4.926
+    - type: recall_at_1
+      value: 6.813
+    - type: recall_at_10
+      value: 14.976
+    - type: recall_at_100
+      value: 25.517
+    - type: recall_at_1000
+      value: 39.095
+    - type: recall_at_3
+      value: 10.5
+    - type: recall_at_5
+      value: 12.316
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 55.2292
+    - type: ap
+      value: 53.00916532305935
+    - type: f1
+      value: 54.6906813069184
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.203
+    - type: map_at_10
+      value: 2.27
+    - type: map_at_100
+      value: 2.5860000000000003
+    - type: map_at_1000
+      value: 2.661
+    - type: map_at_3
+      value: 1.8159999999999998
+    - type: map_at_5
+      value: 2.037
+    - type: mrr_at_1
+      value: 1.232
+    - type: mrr_at_10
+      value: 2.338
+    - type: mrr_at_100
+      value: 2.665
+    - type: mrr_at_1000
+      value: 2.7390000000000003
+    - type: mrr_at_3
+      value: 1.87
+    - type: mrr_at_5
+      value: 2.1
+    - type: ndcg_at_1
+      value: 1.232
+    - type: ndcg_at_10
+      value: 3.005
+    - type: ndcg_at_100
+      value: 4.936
+    - type: ndcg_at_1000
+      value: 7.441000000000001
+    - type: ndcg_at_3
+      value: 2.036
+    - type: ndcg_at_5
+      value: 2.435
+    - type: precision_at_1
+      value: 1.232
+    - type: precision_at_10
+      value: 0.549
+    - type: precision_at_100
+      value: 0.158
+    - type: precision_at_1000
+      value: 0.038
+    - type: precision_at_3
+      value: 0.903
+    - type: precision_at_5
+      value: 0.739
+    - type: recall_at_1
+      value: 1.203
+    - type: recall_at_10
+      value: 5.332
+    - type: recall_at_100
+      value: 15.164
+    - type: recall_at_1000
+      value: 35.831
+    - type: recall_at_3
+      value: 2.622
+    - type: recall_at_5
+      value: 3.572
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 88.25809393524851
+    - type: f1
+      value: 87.67467702138386
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 63.28545371637026
+    - type: f1
+      value: 39.28010634448113
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 57.871553463349024
+    - type: f1
+      value: 55.48077228016125
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 64.14593140551446
+    - type: f1
+      value: 62.99257031840126
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 19.340284691485483
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 17.003121027783283
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 26.880558370137575
+    - type: mrr
+      value: 27.22989883408136
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.443
+    - type: map_at_10
+      value: 1.189
+    - type: map_at_100
+      value: 2.221
+    - type: map_at_1000
+      value: 3.034
+    - type: map_at_3
+      value: 0.683
+    - type: map_at_5
+      value: 0.882
+    - type: mrr_at_1
+      value: 4.334
+    - type: mrr_at_10
+      value: 10.908
+    - type: mrr_at_100
+      value: 12.536
+    - type: mrr_at_1000
+      value: 12.642000000000001
+    - type: mrr_at_3
+      value: 7.481999999999999
+    - type: mrr_at_5
+      value: 9.324
+    - type: ndcg_at_1
+      value: 3.7150000000000003
+    - type: ndcg_at_10
+      value: 5.591
+    - type: ndcg_at_100
+      value: 9.522
+    - type: ndcg_at_1000
+      value: 19.705000000000002
+    - type: ndcg_at_3
+      value: 4.292
+    - type: ndcg_at_5
+      value: 5.038
+    - type: precision_at_1
+      value: 4.334
+    - type: precision_at_10
+      value: 5.077
+    - type: precision_at_100
+      value: 3.2910000000000004
+    - type: precision_at_1000
+      value: 1.568
+    - type: precision_at_3
+      value: 4.644
+    - type: precision_at_5
+      value: 5.139
+    - type: recall_at_1
+      value: 0.443
+    - type: recall_at_10
+      value: 3.3520000000000003
+    - type: recall_at_100
+      value: 15.515
+    - type: recall_at_1000
+      value: 50.505
+    - type: recall_at_3
+      value: 0.931
+    - type: recall_at_5
+      value: 1.698
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.439
+    - type: map_at_10
+      value: 0.6839999999999999
+    - type: map_at_100
+      value: 0.769
+    - type: map_at_1000
+      value: 0.79
+    - type: map_at_3
+      value: 0.584
+    - type: map_at_5
+      value: 0.621
+    - type: mrr_at_1
+      value: 0.5499999999999999
+    - type: mrr_at_10
+      value: 0.819
+    - type: mrr_at_100
+      value: 0.9169999999999999
+    - type: mrr_at_1000
+      value: 0.9400000000000001
+    - type: mrr_at_3
+      value: 0.705
+    - type: mrr_at_5
+      value: 0.75
+    - type: ndcg_at_1
+      value: 0.5499999999999999
+    - type: ndcg_at_10
+      value: 0.886
+    - type: ndcg_at_100
+      value: 1.422
+    - type: ndcg_at_1000
+      value: 2.2079999999999997
+    - type: ndcg_at_3
+      value: 0.6629999999999999
+    - type: ndcg_at_5
+      value: 0.735
+    - type: precision_at_1
+      value: 0.5499999999999999
+    - type: precision_at_10
+      value: 0.16199999999999998
+    - type: precision_at_100
+      value: 0.048
+    - type: precision_at_1000
+      value: 0.012
+    - type: precision_at_3
+      value: 0.309
+    - type: precision_at_5
+      value: 0.22599999999999998
+    - type: recall_at_1
+      value: 0.439
+    - type: recall_at_10
+      value: 1.405
+    - type: recall_at_100
+      value: 4.051
+    - type: recall_at_1000
+      value: 10.487
+    - type: recall_at_3
+      value: 0.787
+    - type: recall_at_5
+      value: 0.9560000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 61.451
+    - type: map_at_10
+      value: 73.898
+    - type: map_at_100
+      value: 74.72800000000001
+    - type: map_at_1000
+      value: 74.766
+    - type: map_at_3
+      value: 70.994
+    - type: map_at_5
+      value: 72.74000000000001
+    - type: mrr_at_1
+      value: 70.94
+    - type: mrr_at_10
+      value: 78.35600000000001
+    - type: mrr_at_100
+      value: 78.64
+    - type: mrr_at_1000
+      value: 78.647
+    - type: mrr_at_3
+      value: 76.912
+    - type: mrr_at_5
+      value: 77.81
+    - type: ndcg_at_1
+      value: 70.93
+    - type: ndcg_at_10
+      value: 78.622
+    - type: ndcg_at_100
+      value: 81.00699999999999
+    - type: ndcg_at_1000
+      value: 81.453
+    - type: ndcg_at_3
+      value: 75.03999999999999
+    - type: ndcg_at_5
+      value: 76.839
+    - type: precision_at_1
+      value: 70.93
+    - type: precision_at_10
+      value: 11.953
+    - type: precision_at_100
+      value: 1.4489999999999998
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 32.65
+    - type: precision_at_5
+      value: 21.598
+    - type: recall_at_1
+      value: 61.451
+    - type: recall_at_10
+      value: 87.608
+    - type: recall_at_100
+      value: 96.818
+    - type: recall_at_1000
+      value: 99.445
+    - type: recall_at_3
+      value: 77.348
+    - type: recall_at_5
+      value: 82.334
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 18.928935618274824
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 35.948929675640414
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.52
+    - type: map_at_10
+      value: 0.893
+    - type: map_at_100
+      value: 1.113
+    - type: map_at_1000
+      value: 1.304
+    - type: map_at_3
+      value: 0.7779999999999999
+    - type: map_at_5
+      value: 0.8200000000000001
+    - type: mrr_at_1
+      value: 2.6
+    - type: mrr_at_10
+      value: 4.0680000000000005
+    - type: mrr_at_100
+      value: 4.6080000000000005
+    - type: mrr_at_1000
+      value: 4.797
+    - type: mrr_at_3
+      value: 3.5999999999999996
+    - type: mrr_at_5
+      value: 3.8150000000000004
+    - type: ndcg_at_1
+      value: 2.6
+    - type: ndcg_at_10
+      value: 1.79
+    - type: ndcg_at_100
+      value: 3.5549999999999997
+    - type: ndcg_at_1000
+      value: 9.942
+    - type: ndcg_at_3
+      value: 1.94
+    - type: ndcg_at_5
+      value: 1.543
+    - type: precision_at_1
+      value: 2.6
+    - type: precision_at_10
+      value: 0.8500000000000001
+    - type: precision_at_100
+      value: 0.361
+    - type: precision_at_1000
+      value: 0.197
+    - type: precision_at_3
+      value: 1.7670000000000001
+    - type: precision_at_5
+      value: 1.26
+    - type: recall_at_1
+      value: 0.52
+    - type: recall_at_10
+      value: 1.7149999999999999
+    - type: recall_at_100
+      value: 7.318
+    - type: recall_at_1000
+      value: 39.915
+    - type: recall_at_3
+      value: 1.0699999999999998
+    - type: recall_at_5
+      value: 1.27
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 67.0394316443087
+    - type: cos_sim_spearman
+      value: 62.93973839554845
+    - type: euclidean_pearson
+      value: 57.60094512966203
+    - type: euclidean_spearman
+      value: 57.05926985559664
+    - type: manhattan_pearson
+      value: 57.53054316732484
+    - type: manhattan_spearman
+      value: 56.98810707222501
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 61.62220407968201
+    - type: cos_sim_spearman
+      value: 65.46331444956428
+    - type: euclidean_pearson
+      value: 53.17721859223576
+    - type: euclidean_spearman
+      value: 62.26490113361859
+    - type: manhattan_pearson
+      value: 53.24730859766875
+    - type: manhattan_spearman
+      value: 62.27695125302589
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 60.32974355127381
+    - type: cos_sim_spearman
+      value: 62.786126823027246
+    - type: euclidean_pearson
+      value: 48.85507668127239
+    - type: euclidean_spearman
+      value: 50.87786603451179
+    - type: manhattan_pearson
+      value: 49.12859466063693
+    - type: manhattan_spearman
+      value: 50.84858327663952
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 59.1627744693388
+    - type: cos_sim_spearman
+      value: 57.53692924942505
+    - type: euclidean_pearson
+      value: 43.86657039278782
+    - type: euclidean_spearman
+      value: 45.082440020418424
+    - type: manhattan_pearson
+      value: 43.955740479348044
+    - type: manhattan_spearman
+      value: 45.15905727160372
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 74.42588616006334
+    - type: cos_sim_spearman
+      value: 74.25087851075787
+    - type: euclidean_pearson
+      value: 63.646746727259774
+    - type: euclidean_spearman
+      value: 63.150219043712106
+    - type: manhattan_pearson
+      value: 63.5341614083317
+    - type: manhattan_spearman
+      value: 63.00883784164611
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.77242395196524
+    - type: cos_sim_spearman
+      value: 75.72930700521489
+    - type: euclidean_pearson
+      value: 68.76523039736611
+    - type: euclidean_spearman
+      value: 67.96962494828459
+    - type: manhattan_pearson
+      value: 68.66742487680166
+    - type: manhattan_spearman
+      value: 67.89168383123581
+  - 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: 80.04007186284058
+    - type: cos_sim_spearman
+      value: 79.94429611477106
+    - type: euclidean_pearson
+      value: 73.04121359782312
+    - type: euclidean_spearman
+      value: 72.46378547225223
+    - type: manhattan_pearson
+      value: 73.20754563807353
+    - type: manhattan_spearman
+      value: 72.61008679959097
+  - 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: 34.55806706564699
+    - type: cos_sim_spearman
+      value: 46.69742358797615
+    - type: euclidean_pearson
+      value: 39.776484084081034
+    - type: euclidean_spearman
+      value: 48.41914464646695
+    - type: manhattan_pearson
+      value: 44.80416657869655
+    - type: manhattan_spearman
+      value: 50.73215508057123
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 67.84222997484147
+    - type: cos_sim_spearman
+      value: 67.39086924655895
+    - type: euclidean_pearson
+      value: 51.87216665821589
+    - type: euclidean_spearman
+      value: 51.309915218441695
+    - type: manhattan_pearson
+      value: 51.871943884893454
+    - type: manhattan_spearman
+      value: 51.271356979504375
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 68.36051662289248
+    - type: mrr
+      value: 89.39224265204656
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.721999999999998
+    - type: map_at_10
+      value: 31.335
+    - type: map_at_100
+      value: 32.461
+    - type: map_at_1000
+      value: 32.557
+    - type: map_at_3
+      value: 29.282000000000004
+    - type: map_at_5
+      value: 30.602
+    - type: mrr_at_1
+      value: 24.667
+    - type: mrr_at_10
+      value: 32.363
+    - type: mrr_at_100
+      value: 33.421
+    - type: mrr_at_1000
+      value: 33.499
+    - type: mrr_at_3
+      value: 30.444
+    - type: mrr_at_5
+      value: 31.628
+    - type: ndcg_at_1
+      value: 24.667
+    - type: ndcg_at_10
+      value: 35.29
+    - type: ndcg_at_100
+      value: 40.665
+    - type: ndcg_at_1000
+      value: 43.241
+    - type: ndcg_at_3
+      value: 31.238
+    - type: ndcg_at_5
+      value: 33.486
+    - type: precision_at_1
+      value: 24.667
+    - type: precision_at_10
+      value: 5.1
+    - type: precision_at_100
+      value: 0.7969999999999999
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 12.667
+    - type: precision_at_5
+      value: 8.933
+    - type: recall_at_1
+      value: 23.721999999999998
+    - type: recall_at_10
+      value: 46.417
+    - type: recall_at_100
+      value: 70.944
+    - type: recall_at_1000
+      value: 91.033
+    - type: recall_at_3
+      value: 35.693999999999996
+    - type: recall_at_5
+      value: 40.944
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.5
+    - type: cos_sim_ap
+      value: 77.07584119570414
+    - type: cos_sim_f1
+      value: 71.8864950078823
+    - type: cos_sim_precision
+      value: 75.74750830564784
+    - type: cos_sim_recall
+      value: 68.4
+    - type: dot_accuracy
+      value: 99.19108910891089
+    - type: dot_ap
+      value: 49.25510696447474
+    - type: dot_f1
+      value: 49.716932578486876
+    - type: dot_precision
+      value: 51.21951219512195
+    - type: dot_recall
+      value: 48.3
+    - type: euclidean_accuracy
+      value: 99.19009900990099
+    - type: euclidean_ap
+      value: 42.035751368399374
+    - type: euclidean_f1
+      value: 44.82153306026916
+    - type: euclidean_precision
+      value: 54.01974612129761
+    - type: euclidean_recall
+      value: 38.3
+    - type: manhattan_accuracy
+      value: 99.19207920792078
+    - type: manhattan_ap
+      value: 42.10943390943409
+    - type: manhattan_f1
+      value: 44.79905437352246
+    - type: manhattan_precision
+      value: 54.76878612716764
+    - type: manhattan_recall
+      value: 37.9
+    - type: max_accuracy
+      value: 99.5
+    - type: max_ap
+      value: 77.07584119570414
+    - type: max_f1
+      value: 71.8864950078823
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 37.40985053432638
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 19.657671371166966
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 38.612724125942385
+    - type: mrr
+      value: 38.891130315762666
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.30533164131324
+    - type: cos_sim_spearman
+      value: 30.556621737388685
+    - type: dot_pearson
+      value: 30.309502621339206
+    - type: dot_spearman
+      value: 31.302092660260872
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.08499999999999999
+    - type: map_at_10
+      value: 0.462
+    - type: map_at_100
+      value: 0.893
+    - type: map_at_1000
+      value: 1.129
+    - type: map_at_3
+      value: 0.232
+    - type: map_at_5
+      value: 0.3
+    - type: mrr_at_1
+      value: 38.0
+    - type: mrr_at_10
+      value: 50.629999999999995
+    - type: mrr_at_100
+      value: 51.315999999999995
+    - type: mrr_at_1000
+      value: 51.365
+    - type: mrr_at_3
+      value: 47.0
+    - type: mrr_at_5
+      value: 48.9
+    - type: ndcg_at_1
+      value: 31.0
+    - type: ndcg_at_10
+      value: 24.823
+    - type: ndcg_at_100
+      value: 10.583
+    - type: ndcg_at_1000
+      value: 6.497999999999999
+    - type: ndcg_at_3
+      value: 30.95
+    - type: ndcg_at_5
+      value: 27.899
+    - type: precision_at_1
+      value: 38.0
+    - type: precision_at_10
+      value: 25.6
+    - type: precision_at_100
+      value: 8.98
+    - type: precision_at_1000
+      value: 2.248
+    - type: precision_at_3
+      value: 34.666999999999994
+    - type: precision_at_5
+      value: 29.599999999999998
+    - type: recall_at_1
+      value: 0.08499999999999999
+    - type: recall_at_10
+      value: 0.641
+    - type: recall_at_100
+      value: 2.002
+    - type: recall_at_1000
+      value: 4.902
+    - type: recall_at_3
+      value: 0.28200000000000003
+    - type: recall_at_5
+      value: 0.379
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.20500000000000002
+    - type: map_at_10
+      value: 0.391
+    - type: map_at_100
+      value: 0.612
+    - type: map_at_1000
+      value: 0.645
+    - type: map_at_3
+      value: 0.302
+    - type: map_at_5
+      value: 0.383
+    - type: mrr_at_1
+      value: 4.082
+    - type: mrr_at_10
+      value: 5.612
+    - type: mrr_at_100
+      value: 6.822
+    - type: mrr_at_1000
+      value: 6.929
+    - type: mrr_at_3
+      value: 4.082
+    - type: mrr_at_5
+      value: 5.408
+    - type: ndcg_at_1
+      value: 4.082
+    - type: ndcg_at_10
+      value: 1.6840000000000002
+    - type: ndcg_at_100
+      value: 2.876
+    - type: ndcg_at_1000
+      value: 4.114
+    - type: ndcg_at_3
+      value: 2.52
+    - type: ndcg_at_5
+      value: 2.3720000000000003
+    - type: precision_at_1
+      value: 4.082
+    - type: precision_at_10
+      value: 1.429
+    - type: precision_at_100
+      value: 0.755
+    - type: precision_at_1000
+      value: 0.18
+    - type: precision_at_3
+      value: 2.041
+    - type: precision_at_5
+      value: 2.4490000000000003
+    - type: recall_at_1
+      value: 0.20500000000000002
+    - type: recall_at_10
+      value: 0.761
+    - type: recall_at_100
+      value: 4.423
+    - type: recall_at_1000
+      value: 9.044
+    - type: recall_at_3
+      value: 0.302
+    - type: recall_at_5
+      value: 0.683
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 63.5394
+    - type: ap
+      value: 11.440330234311777
+    - type: f1
+      value: 48.937405112008854
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 55.16694963214488
+    - type: f1
+      value: 55.275387066931124
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 19.628551067284956
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 80.3302139834297
+    - type: cos_sim_ap
+      value: 53.577224528672154
+    - type: cos_sim_f1
+      value: 51.58639580004565
+    - type: cos_sim_precision
+      value: 45.45454545454545
+    - type: cos_sim_recall
+      value: 59.63060686015831
+    - type: dot_accuracy
+      value: 80.14543720569827
+    - type: dot_ap
+      value: 52.08760844500654
+    - type: dot_f1
+      value: 51.38086062941555
+    - type: dot_precision
+      value: 43.22766570605187
+    - type: dot_recall
+      value: 63.3245382585752
+    - type: euclidean_accuracy
+      value: 78.82815759670979
+    - type: euclidean_ap
+      value: 42.10000519114977
+    - type: euclidean_f1
+      value: 42.769230769230774
+    - type: euclidean_precision
+      value: 34.98322147651007
+    - type: euclidean_recall
+      value: 55.01319261213721
+    - type: manhattan_accuracy
+      value: 78.82815759670979
+    - type: manhattan_ap
+      value: 41.93665652756439
+    - type: manhattan_f1
+      value: 42.57720324202319
+    - type: manhattan_precision
+      value: 34.832969615578314
+    - type: manhattan_recall
+      value: 54.74934036939314
+    - type: max_accuracy
+      value: 80.3302139834297
+    - type: max_ap
+      value: 53.577224528672154
+    - type: max_f1
+      value: 51.58639580004565
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.45876508712695
+    - type: cos_sim_ap
+      value: 83.53206748034412
+    - type: cos_sim_f1
+      value: 75.54560716284276
+    - type: cos_sim_precision
+      value: 73.27929362379678
+    - type: cos_sim_recall
+      value: 77.95657530027718
+    - type: dot_accuracy
+      value: 85.64054798773626
+    - type: dot_ap
+      value: 77.96482079344187
+    - type: dot_f1
+      value: 72.09775967413442
+    - type: dot_precision
+      value: 67.26448429895326
+    - type: dot_recall
+      value: 77.6793963658762
+    - type: euclidean_accuracy
+      value: 84.78480226646485
+    - type: euclidean_ap
+      value: 75.64620709617934
+    - type: euclidean_f1
+      value: 67.1075581395349
+    - type: euclidean_precision
+      value: 63.54252683732452
+    - type: euclidean_recall
+      value: 71.0963966738528
+    - type: manhattan_accuracy
+      value: 84.72658827182055
+    - type: manhattan_ap
+      value: 75.51016029821636
+    - type: manhattan_f1
+      value: 67.00128311570685
+    - type: manhattan_precision
+      value: 65.70688378978534
+    - type: manhattan_recall
+      value: 68.34770557437635
+    - type: max_accuracy
+      value: 87.45876508712695
+    - type: max_ap
+      value: 83.53206748034412
+    - type: max_f1
+      value: 75.54560716284276
 ---
 
 # SONAR