Update README.md

README.md

@@ -1,3 +1,2461 @@
 ---
-license: mit
----
+tags:
+- mteb
+model-index:
+- name: new7
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 90.25373134328359
+    - type: ap
+      value: 65.16915484773354
+    - type: f1
+      value: 86.23066728099059
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 93.974875
+    - type: ap
+      value: 91.14317344009288
+    - type: f1
+      value: 93.9685240564202
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 55.77799999999999
+    - type: f1
+      value: 55.30626203111084
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.663
+    - type: map_at_10
+      value: 43.903
+    - type: map_at_100
+      value: 44.779
+    - type: map_at_1000
+      value: 44.799
+    - type: map_at_3
+      value: 39.486
+    - type: map_at_5
+      value: 42.199
+    - type: mrr_at_1
+      value: 28.663
+    - type: mrr_at_10
+      value: 43.903
+    - type: mrr_at_100
+      value: 44.779
+    - type: mrr_at_1000
+      value: 44.799
+    - type: mrr_at_3
+      value: 39.486
+    - type: mrr_at_5
+      value: 42.199
+    - type: ndcg_at_1
+      value: 28.663
+    - type: ndcg_at_10
+      value: 51.983999999999995
+    - type: ndcg_at_100
+      value: 55.981
+    - type: ndcg_at_1000
+      value: 56.474000000000004
+    - type: ndcg_at_3
+      value: 43.025000000000006
+    - type: ndcg_at_5
+      value: 47.916
+    - type: precision_at_1
+      value: 28.663
+    - type: precision_at_10
+      value: 7.76
+    - type: precision_at_100
+      value: 0.9570000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 17.757
+    - type: precision_at_5
+      value: 13.03
+    - type: recall_at_1
+      value: 28.663
+    - type: recall_at_10
+      value: 77.596
+    - type: recall_at_100
+      value: 95.661
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 53.272
+    - type: recall_at_5
+      value: 65.149
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 41.06284026514476
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 32.96711301401968
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 58.05094332005456
+    - type: mrr
+      value: 70.90808160752759
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 93.67415724859552
+    - type: cos_sim_spearman
+      value: 93.37019979249912
+    - type: euclidean_pearson
+      value: 91.767368542047
+    - type: euclidean_spearman
+      value: 92.75874007684216
+    - type: manhattan_pearson
+      value: 91.7931347639689
+    - type: manhattan_spearman
+      value: 92.94428647331738
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 91.6720779220779
+    - type: f1
+      value: 91.68597413806214
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 30.160011542775695
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 24.890267612946595
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.52
+    - type: map_at_10
+      value: 31.905
+    - type: map_at_100
+      value: 33.146
+    - type: map_at_1000
+      value: 33.315
+    - type: map_at_3
+      value: 29.567
+    - type: map_at_5
+      value: 30.729
+    - type: mrr_at_1
+      value: 28.469
+    - type: mrr_at_10
+      value: 37.884
+    - type: mrr_at_100
+      value: 38.757000000000005
+    - type: mrr_at_1000
+      value: 38.827
+    - type: mrr_at_3
+      value: 36.004000000000005
+    - type: mrr_at_5
+      value: 36.927
+    - type: ndcg_at_1
+      value: 28.469
+    - type: ndcg_at_10
+      value: 37.436
+    - type: ndcg_at_100
+      value: 42.754
+    - type: ndcg_at_1000
+      value: 45.744
+    - type: ndcg_at_3
+      value: 34.121
+    - type: ndcg_at_5
+      value: 35.315000000000005
+    - type: precision_at_1
+      value: 28.469
+    - type: precision_at_10
+      value: 7.167
+    - type: precision_at_100
+      value: 1.24
+    - type: precision_at_1000
+      value: 0.184
+    - type: precision_at_3
+      value: 17.072000000000003
+    - type: precision_at_5
+      value: 11.731
+    - type: recall_at_1
+      value: 22.52
+    - type: recall_at_10
+      value: 47.61
+    - type: recall_at_100
+      value: 70.494
+    - type: recall_at_1000
+      value: 90.081
+    - type: recall_at_3
+      value: 37.012
+    - type: recall_at_5
+      value: 41.053
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.167
+    - type: map_at_10
+      value: 29.227999999999998
+    - type: map_at_100
+      value: 30.361
+    - type: map_at_1000
+      value: 30.483
+    - type: map_at_3
+      value: 27.046
+    - type: map_at_5
+      value: 28.253
+    - type: mrr_at_1
+      value: 27.961999999999996
+    - type: mrr_at_10
+      value: 34.474
+    - type: mrr_at_100
+      value: 35.257
+    - type: mrr_at_1000
+      value: 35.312
+    - type: mrr_at_3
+      value: 32.633
+    - type: mrr_at_5
+      value: 33.7
+    - type: ndcg_at_1
+      value: 27.961999999999996
+    - type: ndcg_at_10
+      value: 33.800000000000004
+    - type: ndcg_at_100
+      value: 38.435
+    - type: ndcg_at_1000
+      value: 40.753
+    - type: ndcg_at_3
+      value: 30.584
+    - type: ndcg_at_5
+      value: 32.036
+    - type: precision_at_1
+      value: 27.961999999999996
+    - type: precision_at_10
+      value: 6.338000000000001
+    - type: precision_at_100
+      value: 1.127
+    - type: precision_at_1000
+      value: 0.159
+    - type: precision_at_3
+      value: 14.649999999999999
+    - type: precision_at_5
+      value: 10.408000000000001
+    - type: recall_at_1
+      value: 22.167
+    - type: recall_at_10
+      value: 41.735
+    - type: recall_at_100
+      value: 61.612
+    - type: recall_at_1000
+      value: 77.046
+    - type: recall_at_3
+      value: 31.985000000000003
+    - type: recall_at_5
+      value: 36.216
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 28.88
+    - type: map_at_10
+      value: 39.483000000000004
+    - type: map_at_100
+      value: 40.65
+    - type: map_at_1000
+      value: 40.727000000000004
+    - type: map_at_3
+      value: 36.095
+    - type: map_at_5
+      value: 38.138
+    - type: mrr_at_1
+      value: 33.292
+    - type: mrr_at_10
+      value: 42.655
+    - type: mrr_at_100
+      value: 43.505
+    - type: mrr_at_1000
+      value: 43.555
+    - type: mrr_at_3
+      value: 39.634
+    - type: mrr_at_5
+      value: 41.589999999999996
+    - type: ndcg_at_1
+      value: 33.292
+    - type: ndcg_at_10
+      value: 45.216
+    - type: ndcg_at_100
+      value: 50.029999999999994
+    - type: ndcg_at_1000
+      value: 51.795
+    - type: ndcg_at_3
+      value: 39.184000000000005
+    - type: ndcg_at_5
+      value: 42.416
+    - type: precision_at_1
+      value: 33.292
+    - type: precision_at_10
+      value: 7.661
+    - type: precision_at_100
+      value: 1.089
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 17.701
+    - type: precision_at_5
+      value: 12.878
+    - type: recall_at_1
+      value: 28.88
+    - type: recall_at_10
+      value: 59.148
+    - type: recall_at_100
+      value: 80.10300000000001
+    - type: recall_at_1000
+      value: 92.938
+    - type: recall_at_3
+      value: 43.262
+    - type: recall_at_5
+      value: 51.05800000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.732
+    - type: map_at_10
+      value: 24.104999999999997
+    - type: map_at_100
+      value: 25.085
+    - type: map_at_1000
+      value: 25.180000000000003
+    - type: map_at_3
+      value: 21.826999999999998
+    - type: map_at_5
+      value: 22.988
+    - type: mrr_at_1
+      value: 19.209
+    - type: mrr_at_10
+      value: 25.528000000000002
+    - type: mrr_at_100
+      value: 26.477
+    - type: mrr_at_1000
+      value: 26.56
+    - type: mrr_at_3
+      value: 23.315
+    - type: mrr_at_5
+      value: 24.427
+    - type: ndcg_at_1
+      value: 19.209
+    - type: ndcg_at_10
+      value: 28.055000000000003
+    - type: ndcg_at_100
+      value: 33.357
+    - type: ndcg_at_1000
+      value: 35.996
+    - type: ndcg_at_3
+      value: 23.526
+    - type: ndcg_at_5
+      value: 25.471
+    - type: precision_at_1
+      value: 19.209
+    - type: precision_at_10
+      value: 4.463
+    - type: precision_at_100
+      value: 0.756
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_3
+      value: 9.981
+    - type: precision_at_5
+      value: 7.119000000000001
+    - type: recall_at_1
+      value: 17.732
+    - type: recall_at_10
+      value: 39.086999999999996
+    - type: recall_at_100
+      value: 64.264
+    - type: recall_at_1000
+      value: 84.589
+    - type: recall_at_3
+      value: 26.668999999999997
+    - type: recall_at_5
+      value: 31.361
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.99
+    - type: map_at_10
+      value: 16.661
+    - type: map_at_100
+      value: 17.763
+    - type: map_at_1000
+      value: 17.892
+    - type: map_at_3
+      value: 14.813
+    - type: map_at_5
+      value: 15.678
+    - type: mrr_at_1
+      value: 13.930000000000001
+    - type: mrr_at_10
+      value: 20.25
+    - type: mrr_at_100
+      value: 21.233
+    - type: mrr_at_1000
+      value: 21.325
+    - type: mrr_at_3
+      value: 18.262999999999998
+    - type: mrr_at_5
+      value: 19.177
+    - type: ndcg_at_1
+      value: 13.930000000000001
+    - type: ndcg_at_10
+      value: 20.558
+    - type: ndcg_at_100
+      value: 26.137
+    - type: ndcg_at_1000
+      value: 29.54
+    - type: ndcg_at_3
+      value: 17.015
+    - type: ndcg_at_5
+      value: 18.314
+    - type: precision_at_1
+      value: 13.930000000000001
+    - type: precision_at_10
+      value: 3.9050000000000002
+    - type: precision_at_100
+      value: 0.782
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 8.333
+    - type: precision_at_5
+      value: 5.92
+    - type: recall_at_1
+      value: 10.99
+    - type: recall_at_10
+      value: 29.156
+    - type: recall_at_100
+      value: 54.06100000000001
+    - type: recall_at_1000
+      value: 78.69699999999999
+    - type: recall_at_3
+      value: 19.11
+    - type: recall_at_5
+      value: 22.609
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 21.351
+    - type: map_at_10
+      value: 29.961
+    - type: map_at_100
+      value: 31.214
+    - type: map_at_1000
+      value: 31.349
+    - type: map_at_3
+      value: 27.283
+    - type: map_at_5
+      value: 28.851
+    - type: mrr_at_1
+      value: 25.602000000000004
+    - type: mrr_at_10
+      value: 34.554
+    - type: mrr_at_100
+      value: 35.423
+    - type: mrr_at_1000
+      value: 35.492000000000004
+    - type: mrr_at_3
+      value: 31.97
+    - type: mrr_at_5
+      value: 33.399
+    - type: ndcg_at_1
+      value: 25.602000000000004
+    - type: ndcg_at_10
+      value: 35.339999999999996
+    - type: ndcg_at_100
+      value: 40.89
+    - type: ndcg_at_1000
+      value: 43.732
+    - type: ndcg_at_3
+      value: 30.657
+    - type: ndcg_at_5
+      value: 32.945
+    - type: precision_at_1
+      value: 25.602000000000004
+    - type: precision_at_10
+      value: 6.574000000000001
+    - type: precision_at_100
+      value: 1.095
+    - type: precision_at_1000
+      value: 0.153
+    - type: precision_at_3
+      value: 14.629
+    - type: precision_at_5
+      value: 10.645
+    - type: recall_at_1
+      value: 21.351
+    - type: recall_at_10
+      value: 46.754
+    - type: recall_at_100
+      value: 70.247
+    - type: recall_at_1000
+      value: 89.653
+    - type: recall_at_3
+      value: 33.894000000000005
+    - type: recall_at_5
+      value: 39.667
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.052999999999997
+    - type: map_at_10
+      value: 24.291999999999998
+    - type: map_at_100
+      value: 25.348
+    - type: map_at_1000
+      value: 25.487
+    - type: map_at_3
+      value: 21.922
+    - type: map_at_5
+      value: 23.256
+    - type: mrr_at_1
+      value: 20.776
+    - type: mrr_at_10
+      value: 28.17
+    - type: mrr_at_100
+      value: 28.99
+    - type: mrr_at_1000
+      value: 29.082
+    - type: mrr_at_3
+      value: 25.951
+    - type: mrr_at_5
+      value: 27.241
+    - type: ndcg_at_1
+      value: 20.776
+    - type: ndcg_at_10
+      value: 28.909000000000002
+    - type: ndcg_at_100
+      value: 33.917
+    - type: ndcg_at_1000
+      value: 37.173
+    - type: ndcg_at_3
+      value: 24.769
+    - type: ndcg_at_5
+      value: 26.698
+    - type: precision_at_1
+      value: 20.776
+    - type: precision_at_10
+      value: 5.445
+    - type: precision_at_100
+      value: 0.943
+    - type: precision_at_1000
+      value: 0.13899999999999998
+    - type: precision_at_3
+      value: 11.985999999999999
+    - type: precision_at_5
+      value: 8.699
+    - type: recall_at_1
+      value: 17.052999999999997
+    - type: recall_at_10
+      value: 38.922000000000004
+    - type: recall_at_100
+      value: 60.624
+    - type: recall_at_1000
+      value: 83.83
+    - type: recall_at_3
+      value: 27.35
+    - type: recall_at_5
+      value: 32.513999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.981
+    - type: map_at_10
+      value: 24.99583333333333
+    - type: map_at_100
+      value: 26.054083333333335
+    - type: map_at_1000
+      value: 26.180916666666672
+    - type: map_at_3
+      value: 22.802666666666667
+    - type: map_at_5
+      value: 24.00508333333333
+    - type: mrr_at_1
+      value: 21.373916666666666
+    - type: mrr_at_10
+      value: 28.53433333333333
+    - type: mrr_at_100
+      value: 29.404000000000003
+    - type: mrr_at_1000
+      value: 29.481999999999996
+    - type: mrr_at_3
+      value: 26.462999999999997
+    - type: mrr_at_5
+      value: 27.596083333333333
+    - type: ndcg_at_1
+      value: 21.373916666666666
+    - type: ndcg_at_10
+      value: 29.40908333333333
+    - type: ndcg_at_100
+      value: 34.43266666666666
+    - type: ndcg_at_1000
+      value: 37.334916666666665
+    - type: ndcg_at_3
+      value: 25.518250000000002
+    - type: ndcg_at_5
+      value: 27.286916666666666
+    - type: precision_at_1
+      value: 21.373916666666666
+    - type: precision_at_10
+      value: 5.265666666666667
+    - type: precision_at_100
+      value: 0.9175833333333334
+    - type: precision_at_1000
+      value: 0.13533333333333336
+    - type: precision_at_3
+      value: 11.92425
+    - type: precision_at_5
+      value: 8.532250000000001
+    - type: recall_at_1
+      value: 17.981
+    - type: recall_at_10
+      value: 39.14641666666667
+    - type: recall_at_100
+      value: 61.65433333333334
+    - type: recall_at_1000
+      value: 82.39216666666665
+    - type: recall_at_3
+      value: 28.15266666666667
+    - type: recall_at_5
+      value: 32.795
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.834
+    - type: map_at_10
+      value: 22.046
+    - type: map_at_100
+      value: 22.954
+    - type: map_at_1000
+      value: 23.051
+    - type: map_at_3
+      value: 20.602999999999998
+    - type: map_at_5
+      value: 21.387999999999998
+    - type: mrr_at_1
+      value: 19.172
+    - type: mrr_at_10
+      value: 24.558
+    - type: mrr_at_100
+      value: 25.439
+    - type: mrr_at_1000
+      value: 25.509999999999998
+    - type: mrr_at_3
+      value: 23.185
+    - type: mrr_at_5
+      value: 23.852
+    - type: ndcg_at_1
+      value: 19.172
+    - type: ndcg_at_10
+      value: 25.189
+    - type: ndcg_at_100
+      value: 29.918
+    - type: ndcg_at_1000
+      value: 32.677
+    - type: ndcg_at_3
+      value: 22.496
+    - type: ndcg_at_5
+      value: 23.677
+    - type: precision_at_1
+      value: 19.172
+    - type: precision_at_10
+      value: 3.834
+    - type: precision_at_100
+      value: 0.679
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 9.611
+    - type: precision_at_5
+      value: 6.4719999999999995
+    - type: recall_at_1
+      value: 16.834
+    - type: recall_at_10
+      value: 32.554
+    - type: recall_at_100
+      value: 54.416
+    - type: recall_at_1000
+      value: 75.334
+    - type: recall_at_3
+      value: 25.057000000000002
+    - type: recall_at_5
+      value: 28.155
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.778
+    - type: map_at_10
+      value: 15.885
+    - type: map_at_100
+      value: 16.716
+    - type: map_at_1000
+      value: 16.838
+    - type: map_at_3
+      value: 14.283999999999999
+    - type: map_at_5
+      value: 15.067
+    - type: mrr_at_1
+      value: 13.421
+    - type: mrr_at_10
+      value: 19.022
+    - type: mrr_at_100
+      value: 19.819
+    - type: mrr_at_1000
+      value: 19.912
+    - type: mrr_at_3
+      value: 17.366
+    - type: mrr_at_5
+      value: 18.18
+    - type: ndcg_at_1
+      value: 13.421
+    - type: ndcg_at_10
+      value: 19.375
+    - type: ndcg_at_100
+      value: 23.733999999999998
+    - type: ndcg_at_1000
+      value: 26.878
+    - type: ndcg_at_3
+      value: 16.383
+    - type: ndcg_at_5
+      value: 17.53
+    - type: precision_at_1
+      value: 13.421
+    - type: precision_at_10
+      value: 3.637
+    - type: precision_at_100
+      value: 0.681
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 7.983
+    - type: precision_at_5
+      value: 5.671
+    - type: recall_at_1
+      value: 10.778
+    - type: recall_at_10
+      value: 26.985999999999997
+    - type: recall_at_100
+      value: 47.143
+    - type: recall_at_1000
+      value: 69.842
+    - type: recall_at_3
+      value: 18.289
+    - type: recall_at_5
+      value: 21.459
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.077
+    - type: map_at_10
+      value: 23.31
+    - type: map_at_100
+      value: 24.351
+    - type: map_at_1000
+      value: 24.471
+    - type: map_at_3
+      value: 21.272
+    - type: map_at_5
+      value: 22.320999999999998
+    - type: mrr_at_1
+      value: 19.683
+    - type: mrr_at_10
+      value: 26.44
+    - type: mrr_at_100
+      value: 27.395000000000003
+    - type: mrr_at_1000
+      value: 27.479
+    - type: mrr_at_3
+      value: 24.549000000000003
+    - type: mrr_at_5
+      value: 25.477
+    - type: ndcg_at_1
+      value: 19.683
+    - type: ndcg_at_10
+      value: 27.33
+    - type: ndcg_at_100
+      value: 32.595
+    - type: ndcg_at_1000
+      value: 35.671
+    - type: ndcg_at_3
+      value: 23.536
+    - type: ndcg_at_5
+      value: 25.09
+    - type: precision_at_1
+      value: 19.683
+    - type: precision_at_10
+      value: 4.711
+    - type: precision_at_100
+      value: 0.84
+    - type: precision_at_1000
+      value: 0.121
+    - type: precision_at_3
+      value: 10.697
+    - type: precision_at_5
+      value: 7.5
+    - type: recall_at_1
+      value: 17.077
+    - type: recall_at_10
+      value: 36.532
+    - type: recall_at_100
+      value: 59.955999999999996
+    - type: recall_at_1000
+      value: 82.536
+    - type: recall_at_3
+      value: 25.982
+    - type: recall_at_5
+      value: 29.965999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.137
+    - type: map_at_10
+      value: 23.889
+    - type: map_at_100
+      value: 25.089
+    - type: map_at_1000
+      value: 25.284000000000002
+    - type: map_at_3
+      value: 21.844
+    - type: map_at_5
+      value: 23.185
+    - type: mrr_at_1
+      value: 20.552999999999997
+    - type: mrr_at_10
+      value: 27.996
+    - type: mrr_at_100
+      value: 28.921000000000003
+    - type: mrr_at_1000
+      value: 28.999999999999996
+    - type: mrr_at_3
+      value: 25.955000000000002
+    - type: mrr_at_5
+      value: 27.269
+    - type: ndcg_at_1
+      value: 20.552999999999997
+    - type: ndcg_at_10
+      value: 28.555000000000003
+    - type: ndcg_at_100
+      value: 34.035
+    - type: ndcg_at_1000
+      value: 37.466
+    - type: ndcg_at_3
+      value: 25.105
+    - type: ndcg_at_5
+      value: 27.13
+    - type: precision_at_1
+      value: 20.552999999999997
+    - type: precision_at_10
+      value: 5.534
+    - type: precision_at_100
+      value: 1.117
+    - type: precision_at_1000
+      value: 0.20400000000000001
+    - type: precision_at_3
+      value: 12.253
+    - type: precision_at_5
+      value: 9.17
+    - type: recall_at_1
+      value: 17.137
+    - type: recall_at_10
+      value: 37.527
+    - type: recall_at_100
+      value: 62.905
+    - type: recall_at_1000
+      value: 85.839
+    - type: recall_at_3
+      value: 27.262999999999998
+    - type: recall_at_5
+      value: 32.735
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.253
+    - type: map_at_10
+      value: 19.185
+    - type: map_at_100
+      value: 19.972
+    - type: map_at_1000
+      value: 20.094
+    - type: map_at_3
+      value: 17.076
+    - type: map_at_5
+      value: 18.207
+    - type: mrr_at_1
+      value: 14.418000000000001
+    - type: mrr_at_10
+      value: 20.881
+    - type: mrr_at_100
+      value: 21.632
+    - type: mrr_at_1000
+      value: 21.73
+    - type: mrr_at_3
+      value: 18.731
+    - type: mrr_at_5
+      value: 19.914
+    - type: ndcg_at_1
+      value: 14.418000000000001
+    - type: ndcg_at_10
+      value: 23.146
+    - type: ndcg_at_100
+      value: 27.389999999999997
+    - type: ndcg_at_1000
+      value: 30.593999999999998
+    - type: ndcg_at_3
+      value: 18.843
+    - type: ndcg_at_5
+      value: 20.821
+    - type: precision_at_1
+      value: 14.418000000000001
+    - type: precision_at_10
+      value: 3.9190000000000005
+    - type: precision_at_100
+      value: 0.662
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 8.195
+    - type: precision_at_5
+      value: 6.174
+    - type: recall_at_1
+      value: 13.253
+    - type: recall_at_10
+      value: 33.745999999999995
+    - type: recall_at_100
+      value: 54.027
+    - type: recall_at_1000
+      value: 78.321
+    - type: recall_at_3
+      value: 21.959
+    - type: recall_at_5
+      value: 26.747
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: ndcg_at_1
+      value: 9.446
+    - type: ndcg_at_3
+      value: 8.708
+    - type: ndcg_at_5
+      value: 9.583
+    - type: ndcg_at_10
+      value: 11.324
+    - type: ndcg_at_100
+      value: 16.563
+    - type: ndcg_at_1000
+      value: 20.402
+    - type: map_at_1
+      value: 4.407
+    - type: map_at_3
+      value: 6.283999999999999
+    - type: map_at_5
+      value: 6.888
+    - type: map_at_10
+      value: 7.545
+    - type: map_at_100
+      value: 8.502
+    - type: map_at_1000
+      value: 8.677
+    - type: recall_at_1
+      value: 4.407
+    - type: recall_at_3
+      value: 8.341999999999999
+    - type: recall_at_5
+      value: 10.609
+    - type: recall_at_10
+      value: 14.572
+    - type: recall_at_100
+      value: 33.802
+    - type: recall_at_1000
+      value: 56.13
+    - type: precision_at_1
+      value: 9.446
+    - type: precision_at_3
+      value: 6.3839999999999995
+    - type: precision_at_5
+      value: 5.029
+    - type: precision_at_10
+      value: 3.655
+    - type: precision_at_100
+      value: 0.9169999999999999
+    - type: precision_at_1000
+      value: 0.159
+    - type: mrr_at_1
+      value: 9.446
+    - type: mrr_at_3
+      value: 12.975
+    - type: mrr_at_5
+      value: 14.102
+    - type: mrr_at_10
+      value: 15.223999999999998
+    - type: mrr_at_100
+      value: 16.378
+    - type: mrr_at_1000
+      value: 16.469
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.3839999999999995
+    - type: map_at_10
+      value: 8.92
+    - type: map_at_100
+      value: 12.509999999999998
+    - type: map_at_1000
+      value: 13.555
+    - type: map_at_3
+      value: 6.508
+    - type: map_at_5
+      value: 7.521
+    - type: mrr_at_1
+      value: 38.0
+    - type: mrr_at_10
+      value: 47.796
+    - type: mrr_at_100
+      value: 48.554
+    - type: mrr_at_1000
+      value: 48.579
+    - type: mrr_at_3
+      value: 44.708
+    - type: mrr_at_5
+      value: 46.521
+    - type: ndcg_at_1
+      value: 29.125
+    - type: ndcg_at_10
+      value: 22.126
+    - type: ndcg_at_100
+      value: 26.369999999999997
+    - type: ndcg_at_1000
+      value: 33.604
+    - type: ndcg_at_3
+      value: 24.102999999999998
+    - type: ndcg_at_5
+      value: 22.926
+    - type: precision_at_1
+      value: 38.0
+    - type: precision_at_10
+      value: 18.2
+    - type: precision_at_100
+      value: 6.208
+    - type: precision_at_1000
+      value: 1.3679999999999999
+    - type: precision_at_3
+      value: 26.5
+    - type: precision_at_5
+      value: 22.900000000000002
+    - type: recall_at_1
+      value: 4.3839999999999995
+    - type: recall_at_10
+      value: 13.520999999999999
+    - type: recall_at_100
+      value: 33.053
+    - type: recall_at_1000
+      value: 56.516
+    - type: recall_at_3
+      value: 7.515
+    - type: recall_at_5
+      value: 9.775
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 90.38999999999999
+    - type: f1
+      value: 87.12778738994012
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.688000000000001
+    - type: map_at_10
+      value: 13.839000000000002
+    - type: map_at_100
+      value: 15.082999999999998
+    - type: map_at_1000
+      value: 15.276
+    - type: map_at_3
+      value: 11.662
+    - type: map_at_5
+      value: 12.827
+    - type: mrr_at_1
+      value: 15.741
+    - type: mrr_at_10
+      value: 23.304
+    - type: mrr_at_100
+      value: 24.239
+    - type: mrr_at_1000
+      value: 24.319
+    - type: mrr_at_3
+      value: 20.962
+    - type: mrr_at_5
+      value: 22.243
+    - type: ndcg_at_1
+      value: 15.741
+    - type: ndcg_at_10
+      value: 18.914
+    - type: ndcg_at_100
+      value: 24.742
+    - type: ndcg_at_1000
+      value: 28.938000000000002
+    - type: ndcg_at_3
+      value: 16.181
+    - type: ndcg_at_5
+      value: 17.078
+    - type: precision_at_1
+      value: 15.741
+    - type: precision_at_10
+      value: 5.7410000000000005
+    - type: precision_at_100
+      value: 1.168
+    - type: precision_at_1000
+      value: 0.19
+    - type: precision_at_3
+      value: 11.368
+    - type: precision_at_5
+      value: 8.735
+    - type: recall_at_1
+      value: 7.688000000000001
+    - type: recall_at_10
+      value: 24.442
+    - type: recall_at_100
+      value: 47.288999999999994
+    - type: recall_at_1000
+      value: 73.49900000000001
+    - type: recall_at_3
+      value: 15.15
+    - type: recall_at_5
+      value: 18.858
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 88.8228
+    - type: ap
+      value: 84.52103126779862
+    - type: f1
+      value: 88.797782219813
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 8.461
+    - type: map_at_10
+      value: 14.979999999999999
+    - type: map_at_100
+      value: 16.032
+    - type: map_at_1000
+      value: 16.128
+    - type: map_at_3
+      value: 12.64
+    - type: map_at_5
+      value: 13.914000000000001
+    - type: mrr_at_1
+      value: 8.681999999999999
+    - type: mrr_at_10
+      value: 15.341
+    - type: mrr_at_100
+      value: 16.377
+    - type: mrr_at_1000
+      value: 16.469
+    - type: mrr_at_3
+      value: 12.963
+    - type: mrr_at_5
+      value: 14.262
+    - type: ndcg_at_1
+      value: 8.681999999999999
+    - type: ndcg_at_10
+      value: 19.045
+    - type: ndcg_at_100
+      value: 24.735
+    - type: ndcg_at_1000
+      value: 27.556000000000004
+    - type: ndcg_at_3
+      value: 14.154
+    - type: ndcg_at_5
+      value: 16.448
+    - type: precision_at_1
+      value: 8.681999999999999
+    - type: precision_at_10
+      value: 3.292
+    - type: precision_at_100
+      value: 0.623
+    - type: precision_at_1000
+      value: 0.087
+    - type: precision_at_3
+      value: 6.275
+    - type: precision_at_5
+      value: 4.92
+    - type: recall_at_1
+      value: 8.461
+    - type: recall_at_10
+      value: 31.729000000000003
+    - type: recall_at_100
+      value: 59.367000000000004
+    - type: recall_at_1000
+      value: 81.86
+    - type: recall_at_3
+      value: 18.234
+    - type: recall_at_5
+      value: 23.74
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 98.1623347013224
+    - type: f1
+      value: 97.95934123221338
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 93.0141358869129
+    - type: f1
+      value: 77.42161481798763
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 77.20242098184264
+    - type: f1
+      value: 73.64580701123289
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 88.38264963012777
+    - type: f1
+      value: 87.6445935642575
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 28.982276213044095
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 26.08731318128303
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 29.680164236394784
+    - type: mrr
+      value: 30.60242075910688
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.35
+    - type: map_at_10
+      value: 10.03
+    - type: map_at_100
+      value: 12.61
+    - type: map_at_1000
+      value: 13.916999999999998
+    - type: map_at_3
+      value: 7.428
+    - type: map_at_5
+      value: 8.625
+    - type: mrr_at_1
+      value: 39.009
+    - type: mrr_at_10
+      value: 47.63
+    - type: mrr_at_100
+      value: 48.259
+    - type: mrr_at_1000
+      value: 48.302
+    - type: mrr_at_3
+      value: 45.408
+    - type: mrr_at_5
+      value: 46.971000000000004
+    - type: ndcg_at_1
+      value: 36.997
+    - type: ndcg_at_10
+      value: 28.781000000000002
+    - type: ndcg_at_100
+      value: 26.644000000000002
+    - type: ndcg_at_1000
+      value: 35.812
+    - type: ndcg_at_3
+      value: 34.056
+    - type: ndcg_at_5
+      value: 31.804
+    - type: precision_at_1
+      value: 38.080000000000005
+    - type: precision_at_10
+      value: 20.96
+    - type: precision_at_100
+      value: 6.808
+    - type: precision_at_1000
+      value: 1.991
+    - type: precision_at_3
+      value: 32.095
+    - type: precision_at_5
+      value: 27.43
+    - type: recall_at_1
+      value: 4.35
+    - type: recall_at_10
+      value: 14.396
+    - type: recall_at_100
+      value: 28.126
+    - type: recall_at_1000
+      value: 60.785
+    - type: recall_at_3
+      value: 9.001000000000001
+    - type: recall_at_5
+      value: 11.197
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.408
+    - type: map_at_10
+      value: 17.247
+    - type: map_at_100
+      value: 18.578
+    - type: map_at_1000
+      value: 18.683
+    - type: map_at_3
+      value: 14.424999999999999
+    - type: map_at_5
+      value: 15.967999999999998
+    - type: mrr_at_1
+      value: 10.718
+    - type: mrr_at_10
+      value: 18.974
+    - type: mrr_at_100
+      value: 20.153
+    - type: mrr_at_1000
+      value: 20.238
+    - type: mrr_at_3
+      value: 16.087
+    - type: mrr_at_5
+      value: 17.685000000000002
+    - type: ndcg_at_1
+      value: 10.718
+    - type: ndcg_at_10
+      value: 22.313
+    - type: ndcg_at_100
+      value: 28.810999999999996
+    - type: ndcg_at_1000
+      value: 31.495
+    - type: ndcg_at_3
+      value: 16.487
+    - type: ndcg_at_5
+      value: 19.252
+    - type: precision_at_1
+      value: 10.718
+    - type: precision_at_10
+      value: 4.256
+    - type: precision_at_100
+      value: 0.7979999999999999
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 7.976
+    - type: precision_at_5
+      value: 6.3149999999999995
+    - type: recall_at_1
+      value: 9.408
+    - type: recall_at_10
+      value: 36.364999999999995
+    - type: recall_at_100
+      value: 66.16499999999999
+    - type: recall_at_1000
+      value: 86.47399999999999
+    - type: recall_at_3
+      value: 20.829
+    - type: recall_at_5
+      value: 27.296
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 65.499
+    - type: map_at_10
+      value: 78.432
+    - type: map_at_100
+      value: 79.169
+    - type: map_at_1000
+      value: 79.199
+    - type: map_at_3
+      value: 75.476
+    - type: map_at_5
+      value: 77.28399999999999
+    - type: mrr_at_1
+      value: 75.55
+    - type: mrr_at_10
+      value: 82.16499999999999
+    - type: mrr_at_100
+      value: 82.37
+    - type: mrr_at_1000
+      value: 82.375
+    - type: mrr_at_3
+      value: 80.925
+    - type: mrr_at_5
+      value: 81.748
+    - type: ndcg_at_1
+      value: 75.58
+    - type: ndcg_at_10
+      value: 82.663
+    - type: ndcg_at_100
+      value: 84.526
+    - type: ndcg_at_1000
+      value: 84.843
+    - type: ndcg_at_3
+      value: 79.38300000000001
+    - type: ndcg_at_5
+      value: 81.133
+    - type: precision_at_1
+      value: 75.58
+    - type: precision_at_10
+      value: 12.562000000000001
+    - type: precision_at_100
+      value: 1.48
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 34.583000000000006
+    - type: precision_at_5
+      value: 22.858
+    - type: recall_at_1
+      value: 65.499
+    - type: recall_at_10
+      value: 90.71000000000001
+    - type: recall_at_100
+      value: 97.717
+    - type: recall_at_1000
+      value: 99.551
+    - type: recall_at_3
+      value: 81.273
+    - type: recall_at_5
+      value: 86.172
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 43.28689524907211
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 54.41734813535957
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.305
+    - type: map_at_10
+      value: 8.502
+    - type: map_at_100
+      value: 10.288
+    - type: map_at_1000
+      value: 10.599
+    - type: map_at_3
+      value: 6.146
+    - type: map_at_5
+      value: 7.207
+    - type: mrr_at_1
+      value: 16.400000000000002
+    - type: mrr_at_10
+      value: 26.054
+    - type: mrr_at_100
+      value: 27.319
+    - type: mrr_at_1000
+      value: 27.400000000000002
+    - type: mrr_at_3
+      value: 22.967000000000002
+    - type: mrr_at_5
+      value: 24.542
+    - type: ndcg_at_1
+      value: 16.400000000000002
+    - type: ndcg_at_10
+      value: 14.943000000000001
+    - type: ndcg_at_100
+      value: 22.596
+    - type: ndcg_at_1000
+      value: 28.345
+    - type: ndcg_at_3
+      value: 14.011000000000001
+    - type: ndcg_at_5
+      value: 12.065
+    - type: precision_at_1
+      value: 16.400000000000002
+    - type: precision_at_10
+      value: 7.93
+    - type: precision_at_100
+      value: 1.902
+    - type: precision_at_1000
+      value: 0.328
+    - type: precision_at_3
+      value: 13.233
+    - type: precision_at_5
+      value: 10.620000000000001
+    - type: recall_at_1
+      value: 3.305
+    - type: recall_at_10
+      value: 16.07
+    - type: recall_at_100
+      value: 38.592999999999996
+    - type: recall_at_1000
+      value: 66.678
+    - type: recall_at_3
+      value: 8.025
+    - type: recall_at_5
+      value: 10.743
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 94.03602783680165
+    - type: cos_sim_spearman
+      value: 91.93466287712853
+    - type: euclidean_pearson
+      value: 91.5804659261222
+    - type: euclidean_spearman
+      value: 91.84239224991634
+    - type: manhattan_pearson
+      value: 91.57789872896991
+    - type: manhattan_spearman
+      value: 91.82031929038708
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 97.2530615783017
+    - type: cos_sim_spearman
+      value: 95.61025838976805
+    - type: euclidean_pearson
+      value: 95.41071037458771
+    - type: euclidean_spearman
+      value: 95.6207550803838
+    - type: manhattan_pearson
+      value: 95.39723545188045
+    - type: manhattan_spearman
+      value: 95.61540593501014
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 95.27491458980685
+    - type: cos_sim_spearman
+      value: 95.1521844663505
+    - type: euclidean_pearson
+      value: 94.63883752108002
+    - type: euclidean_spearman
+      value: 94.85954995945424
+    - type: manhattan_pearson
+      value: 94.59749433419627
+    - type: manhattan_spearman
+      value: 94.80626857571967
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 97.10518525877228
+    - type: cos_sim_spearman
+      value: 96.85836209648471
+    - type: euclidean_pearson
+      value: 95.8019730340664
+    - type: euclidean_spearman
+      value: 96.78892865690494
+    - type: manhattan_pearson
+      value: 95.79265816494754
+    - type: manhattan_spearman
+      value: 96.7712534155723
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 96.66550105336606
+    - type: cos_sim_spearman
+      value: 96.73134982392861
+    - type: euclidean_pearson
+      value: 95.50375963201927
+    - type: euclidean_spearman
+      value: 96.46785996403956
+    - type: manhattan_pearson
+      value: 95.47555707089327
+    - type: manhattan_spearman
+      value: 96.40825860300748
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 96.07365154052914
+    - type: cos_sim_spearman
+      value: 96.1720485037732
+    - type: euclidean_pearson
+      value: 95.58880196128803
+    - type: euclidean_spearman
+      value: 96.02102007396296
+    - type: manhattan_pearson
+      value: 95.60295336628664
+    - type: manhattan_spearman
+      value: 96.03461694944212
+  - 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: 96.14907313714893
+    - type: cos_sim_spearman
+      value: 96.14822520805113
+    - type: euclidean_pearson
+      value: 95.62140726773103
+    - type: euclidean_spearman
+      value: 96.01818385482282
+    - type: manhattan_pearson
+      value: 95.60795162280982
+    - type: manhattan_spearman
+      value: 96.00703635484169
+  - 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: 66.35513203366195
+    - type: cos_sim_spearman
+      value: 64.92002333937089
+    - type: euclidean_pearson
+      value: 67.06304516009153
+    - type: euclidean_spearman
+      value: 65.3504536039936
+    - type: manhattan_pearson
+      value: 67.22016756598737
+    - type: manhattan_spearman
+      value: 65.64455991383844
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 96.59372149477922
+    - type: cos_sim_spearman
+      value: 96.97247348665515
+    - type: euclidean_pearson
+      value: 95.64890160850817
+    - type: euclidean_spearman
+      value: 96.84619618958573
+    - type: manhattan_pearson
+      value: 95.65581449537562
+    - type: manhattan_spearman
+      value: 96.853383309355
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 79.9991957697061
+    - type: mrr
+      value: 93.85864317236866
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 42.25
+    - type: map_at_10
+      value: 51.257
+    - type: map_at_100
+      value: 52.261
+    - type: map_at_1000
+      value: 52.309000000000005
+    - type: map_at_3
+      value: 48.759
+    - type: map_at_5
+      value: 50.413
+    - type: mrr_at_1
+      value: 44.0
+    - type: mrr_at_10
+      value: 52.367
+    - type: mrr_at_100
+      value: 53.181999999999995
+    - type: mrr_at_1000
+      value: 53.223
+    - type: mrr_at_3
+      value: 50.222
+    - type: mrr_at_5
+      value: 51.656
+    - type: ndcg_at_1
+      value: 44.0
+    - type: ndcg_at_10
+      value: 55.672
+    - type: ndcg_at_100
+      value: 59.779
+    - type: ndcg_at_1000
+      value: 61.114999999999995
+    - type: ndcg_at_3
+      value: 51.136
+    - type: ndcg_at_5
+      value: 53.822
+    - type: precision_at_1
+      value: 44.0
+    - type: precision_at_10
+      value: 7.6
+    - type: precision_at_100
+      value: 0.9730000000000001
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 20.111
+    - type: precision_at_5
+      value: 13.733
+    - type: recall_at_1
+      value: 42.25
+    - type: recall_at_10
+      value: 67.989
+    - type: recall_at_100
+      value: 85.56700000000001
+    - type: recall_at_1000
+      value: 96.267
+    - type: recall_at_3
+      value: 56.27799999999999
+    - type: recall_at_5
+      value: 62.678
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.75346534653465
+    - type: cos_sim_ap
+      value: 92.92934020206276
+    - type: cos_sim_f1
+      value: 87.37373737373737
+    - type: cos_sim_precision
+      value: 88.26530612244898
+    - type: cos_sim_recall
+      value: 86.5
+    - type: dot_accuracy
+      value: 99.7
+    - type: dot_ap
+      value: 90.30253078505329
+    - type: dot_f1
+      value: 84.55696202531644
+    - type: dot_precision
+      value: 85.64102564102564
+    - type: dot_recall
+      value: 83.5
+    - type: euclidean_accuracy
+      value: 99.75742574257426
+    - type: euclidean_ap
+      value: 92.97542565802068
+    - type: euclidean_f1
+      value: 87.48083801737351
+    - type: euclidean_precision
+      value: 89.44618599791013
+    - type: euclidean_recall
+      value: 85.6
+    - type: manhattan_accuracy
+      value: 99.75643564356436
+    - type: manhattan_ap
+      value: 92.92733519229752
+    - type: manhattan_f1
+      value: 87.41044012282498
+    - type: manhattan_precision
+      value: 89.51781970649894
+    - type: manhattan_recall
+      value: 85.39999999999999
+    - type: max_accuracy
+      value: 99.75742574257426
+    - type: max_ap
+      value: 92.97542565802068
+    - type: max_f1
+      value: 87.48083801737351
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 46.968629347107225
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 31.76101811464947
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 47.838618465936364
+    - type: mrr
+      value: 48.51134772090654
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.101149949190837
+    - type: cos_sim_spearman
+      value: 30.99886288816569
+    - type: dot_pearson
+      value: 28.905040829977978
+    - type: dot_spearman
+      value: 28.101690957830428
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.129
+    - type: map_at_10
+      value: 0.6930000000000001
+    - type: map_at_100
+      value: 2.408
+    - type: map_at_1000
+      value: 4.731
+    - type: map_at_3
+      value: 0.314
+    - type: map_at_5
+      value: 0.43
+    - type: mrr_at_1
+      value: 44.0
+    - type: mrr_at_10
+      value: 55.132999999999996
+    - type: mrr_at_100
+      value: 56.455
+    - type: mrr_at_1000
+      value: 56.474000000000004
+    - type: mrr_at_3
+      value: 53.333
+    - type: mrr_at_5
+      value: 55.132999999999996
+    - type: ndcg_at_1
+      value: 40.0
+    - type: ndcg_at_10
+      value: 33.283
+    - type: ndcg_at_100
+      value: 18.892
+    - type: ndcg_at_1000
+      value: 17.457
+    - type: ndcg_at_3
+      value: 39.073
+    - type: ndcg_at_5
+      value: 35.609
+    - type: precision_at_1
+      value: 44.0
+    - type: precision_at_10
+      value: 33.800000000000004
+    - type: precision_at_100
+      value: 17.44
+    - type: precision_at_1000
+      value: 7.04
+    - type: precision_at_3
+      value: 40.666999999999994
+    - type: precision_at_5
+      value: 36.4
+    - type: recall_at_1
+      value: 0.129
+    - type: recall_at_10
+      value: 0.91
+    - type: recall_at_100
+      value: 4.449
+    - type: recall_at_1000
+      value: 16.091
+    - type: recall_at_3
+      value: 0.349
+    - type: recall_at_5
+      value: 0.518
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.189
+    - type: map_at_10
+      value: 5.196
+    - type: map_at_100
+      value: 8.984
+    - type: map_at_1000
+      value: 10.333
+    - type: map_at_3
+      value: 2.513
+    - type: map_at_5
+      value: 3.8089999999999997
+    - type: mrr_at_1
+      value: 14.285999999999998
+    - type: mrr_at_10
+      value: 26.295
+    - type: mrr_at_100
+      value: 28.285
+    - type: mrr_at_1000
+      value: 28.303
+    - type: mrr_at_3
+      value: 22.109
+    - type: mrr_at_5
+      value: 24.864
+    - type: ndcg_at_1
+      value: 12.245000000000001
+    - type: ndcg_at_10
+      value: 13.196
+    - type: ndcg_at_100
+      value: 24.189
+    - type: ndcg_at_1000
+      value: 36.015
+    - type: ndcg_at_3
+      value: 12.153
+    - type: ndcg_at_5
+      value: 13.459999999999999
+    - type: precision_at_1
+      value: 14.285999999999998
+    - type: precision_at_10
+      value: 12.653
+    - type: precision_at_100
+      value: 5.673
+    - type: precision_at_1000
+      value: 1.32
+    - type: precision_at_3
+      value: 12.925
+    - type: precision_at_5
+      value: 15.101999999999999
+    - type: recall_at_1
+      value: 1.189
+    - type: recall_at_10
+      value: 9.478
+    - type: recall_at_100
+      value: 36.076
+    - type: recall_at_1000
+      value: 71.88900000000001
+    - type: recall_at_3
+      value: 3.1710000000000003
+    - type: recall_at_5
+      value: 5.944
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 81.1632
+    - type: ap
+      value: 21.801031224655016
+    - type: f1
+      value: 63.93057804886679
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 68.15789473684211
+    - type: f1
+      value: 68.55744497973521
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 53.77313771942972
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 85.79603027954938
+    - type: cos_sim_ap
+      value: 73.19931192854375
+    - type: cos_sim_f1
+      value: 66.7699457784663
+    - type: cos_sim_precision
+      value: 65.3690596562184
+    - type: cos_sim_recall
+      value: 68.23218997361478
+    - type: dot_accuracy
+      value: 84.72313286046374
+    - type: dot_ap
+      value: 69.84066382008972
+    - type: dot_f1
+      value: 64.42618869803336
+    - type: dot_precision
+      value: 60.98020735155514
+    - type: dot_recall
+      value: 68.28496042216359
+    - type: euclidean_accuracy
+      value: 85.81391190320082
+    - type: euclidean_ap
+      value: 73.4051677083228
+    - type: euclidean_f1
+      value: 67.35092864125122
+    - type: euclidean_precision
+      value: 62.721893491124256
+    - type: euclidean_recall
+      value: 72.71767810026385
+    - type: manhattan_accuracy
+      value: 85.81391190320082
+    - type: manhattan_ap
+      value: 73.33759860950396
+    - type: manhattan_f1
+      value: 67.32576589771757
+    - type: manhattan_precision
+      value: 62.63910969793323
+    - type: manhattan_recall
+      value: 72.77044854881267
+    - type: max_accuracy
+      value: 85.81391190320082
+    - type: max_ap
+      value: 73.4051677083228
+    - type: max_f1
+      value: 67.35092864125122
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.17479722125199
+    - type: cos_sim_ap
+      value: 84.37486145048878
+    - type: cos_sim_f1
+      value: 76.65294717365856
+    - type: cos_sim_precision
+      value: 75.21304186735827
+    - type: cos_sim_recall
+      value: 78.14906067138897
+    - type: dot_accuracy
+      value: 87.72460899600264
+    - type: dot_ap
+      value: 83.01188676406672
+    - type: dot_f1
+      value: 75.8810775054206
+    - type: dot_precision
+      value: 72.58665541728186
+    - type: dot_recall
+      value: 79.48875885432707
+    - type: euclidean_accuracy
+      value: 88.16315442232313
+    - type: euclidean_ap
+      value: 84.32021529803454
+    - type: euclidean_f1
+      value: 76.60147856804691
+    - type: euclidean_precision
+      value: 72.67638725727316
+    - type: euclidean_recall
+      value: 80.97474591931014
+    - type: manhattan_accuracy
+      value: 88.19226141964528
+    - type: manhattan_ap
+      value: 84.30111334073442
+    - type: manhattan_f1
+      value: 76.48944401459048
+    - type: manhattan_precision
+      value: 73.34134105843285
+    - type: manhattan_recall
+      value: 79.91992608561749
+    - type: max_accuracy
+      value: 88.19226141964528
+    - type: max_ap
+      value: 84.37486145048878
+    - type: max_f1
+      value: 76.65294717365856
+---