Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: mpnet_main_noabtt
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 68.01492537313432
+    - type: ap
+      value: 29.926088215432827
+    - type: f1
+      value: 61.543829186658314
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 66.03607500000001
+    - type: ap
+      value: 60.89551858560106
+    - type: f1
+      value: 65.80068648160709
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 34.78199999999999
+    - type: f1
+      value: 34.250938954862356
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 21.266
+    - type: map_at_10
+      value: 35.196
+    - type: map_at_100
+      value: 36.387
+    - type: map_at_1000
+      value: 36.416
+    - type: map_at_3
+      value: 30.773
+    - type: map_at_5
+      value: 33.163
+    - type: mrr_at_1
+      value: 22.048000000000002
+    - type: mrr_at_10
+      value: 35.481
+    - type: mrr_at_100
+      value: 36.665
+    - type: mrr_at_1000
+      value: 36.693999999999996
+    - type: mrr_at_3
+      value: 31.069000000000003
+    - type: mrr_at_5
+      value: 33.455
+    - type: ndcg_at_1
+      value: 21.266
+    - type: ndcg_at_10
+      value: 43.114000000000004
+    - type: ndcg_at_100
+      value: 48.61
+    - type: ndcg_at_1000
+      value: 49.334
+    - type: ndcg_at_3
+      value: 33.951
+    - type: ndcg_at_5
+      value: 38.257999999999996
+    - type: precision_at_1
+      value: 21.266
+    - type: precision_at_10
+      value: 6.848999999999999
+    - type: precision_at_100
+      value: 0.935
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 14.391000000000002
+    - type: precision_at_5
+      value: 10.725
+    - type: recall_at_1
+      value: 21.266
+    - type: recall_at_10
+      value: 68.49199999999999
+    - type: recall_at_100
+      value: 93.528
+    - type: recall_at_1000
+      value: 99.14699999999999
+    - type: recall_at_3
+      value: 43.172
+    - type: recall_at_5
+      value: 53.627
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 36.01511495124908
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 26.77906639415867
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 54.32809895348082
+    - type: mrr
+      value: 68.93109967902211
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.61413947741643
+    - type: cos_sim_spearman
+      value: 75.72702669649405
+    - type: euclidean_pearson
+      value: 77.72961558201939
+    - type: euclidean_spearman
+      value: 75.72702669649405
+    - type: manhattan_pearson
+      value: 78.63299657922013
+    - type: manhattan_spearman
+      value: 77.19874697762698
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 72.92857142857143
+    - type: f1
+      value: 72.1661081571387
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 33.19795849293594
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 25.13940168273952
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 22.384999999999998
+    - type: map_at_10
+      value: 29.628
+    - type: map_at_100
+      value: 30.781
+    - type: map_at_1000
+      value: 30.933
+    - type: map_at_3
+      value: 26.889000000000003
+    - type: map_at_5
+      value: 28.388999999999996
+    - type: mrr_at_1
+      value: 28.183000000000003
+    - type: mrr_at_10
+      value: 34.952
+    - type: mrr_at_100
+      value: 35.774
+    - type: mrr_at_1000
+      value: 35.843
+    - type: mrr_at_3
+      value: 32.499
+    - type: mrr_at_5
+      value: 33.829
+    - type: ndcg_at_1
+      value: 28.183000000000003
+    - type: ndcg_at_10
+      value: 34.614
+    - type: ndcg_at_100
+      value: 39.737
+    - type: ndcg_at_1000
+      value: 42.742999999999995
+    - type: ndcg_at_3
+      value: 30.328
+    - type: ndcg_at_5
+      value: 32.23
+    - type: precision_at_1
+      value: 28.183000000000003
+    - type: precision_at_10
+      value: 6.723999999999999
+    - type: precision_at_100
+      value: 1.172
+    - type: precision_at_1000
+      value: 0.181
+    - type: precision_at_3
+      value: 14.402000000000001
+    - type: precision_at_5
+      value: 10.587
+    - type: recall_at_1
+      value: 22.384999999999998
+    - type: recall_at_10
+      value: 43.537
+    - type: recall_at_100
+      value: 66.37100000000001
+    - type: recall_at_1000
+      value: 86.978
+    - type: recall_at_3
+      value: 30.874000000000002
+    - type: recall_at_5
+      value: 36.358000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 15.145
+    - type: map_at_10
+      value: 20.992
+    - type: map_at_100
+      value: 21.951999999999998
+    - type: map_at_1000
+      value: 22.076999999999998
+    - type: map_at_3
+      value: 19.211
+    - type: map_at_5
+      value: 20.233999999999998
+    - type: mrr_at_1
+      value: 19.363
+    - type: mrr_at_10
+      value: 24.97
+    - type: mrr_at_100
+      value: 25.818
+    - type: mrr_at_1000
+      value: 25.895000000000003
+    - type: mrr_at_3
+      value: 23.238
+    - type: mrr_at_5
+      value: 24.288999999999998
+    - type: ndcg_at_1
+      value: 19.363
+    - type: ndcg_at_10
+      value: 24.665
+    - type: ndcg_at_100
+      value: 29.122999999999998
+    - type: ndcg_at_1000
+      value: 32.06
+    - type: ndcg_at_3
+      value: 21.729000000000003
+    - type: ndcg_at_5
+      value: 23.148
+    - type: precision_at_1
+      value: 19.363
+    - type: precision_at_10
+      value: 4.643
+    - type: precision_at_100
+      value: 0.864
+    - type: precision_at_1000
+      value: 0.13699999999999998
+    - type: precision_at_3
+      value: 10.51
+    - type: precision_at_5
+      value: 7.617999999999999
+    - type: recall_at_1
+      value: 15.145
+    - type: recall_at_10
+      value: 31.653
+    - type: recall_at_100
+      value: 51.344
+    - type: recall_at_1000
+      value: 71.352
+    - type: recall_at_3
+      value: 22.892000000000003
+    - type: recall_at_5
+      value: 26.878999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 24.68
+    - type: map_at_10
+      value: 33.0
+    - type: map_at_100
+      value: 34.095
+    - type: map_at_1000
+      value: 34.193
+    - type: map_at_3
+      value: 30.444
+    - type: map_at_5
+      value: 31.691999999999997
+    - type: mrr_at_1
+      value: 28.527
+    - type: mrr_at_10
+      value: 36.162
+    - type: mrr_at_100
+      value: 37.064
+    - type: mrr_at_1000
+      value: 37.124
+    - type: mrr_at_3
+      value: 33.866
+    - type: mrr_at_5
+      value: 35.026
+    - type: ndcg_at_1
+      value: 28.527
+    - type: ndcg_at_10
+      value: 37.893
+    - type: ndcg_at_100
+      value: 43.082
+    - type: ndcg_at_1000
+      value: 45.366
+    - type: ndcg_at_3
+      value: 33.062000000000005
+    - type: ndcg_at_5
+      value: 35.007
+    - type: precision_at_1
+      value: 28.527
+    - type: precision_at_10
+      value: 6.276
+    - type: precision_at_100
+      value: 0.966
+    - type: precision_at_1000
+      value: 0.125
+    - type: precision_at_3
+      value: 14.879999999999999
+    - type: precision_at_5
+      value: 10.206999999999999
+    - type: recall_at_1
+      value: 24.68
+    - type: recall_at_10
+      value: 49.8
+    - type: recall_at_100
+      value: 73.27900000000001
+    - type: recall_at_1000
+      value: 89.761
+    - type: recall_at_3
+      value: 36.428
+    - type: recall_at_5
+      value: 41.284
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 12.674
+    - type: map_at_10
+      value: 17.466
+    - type: map_at_100
+      value: 18.309
+    - type: map_at_1000
+      value: 18.415
+    - type: map_at_3
+      value: 16.072
+    - type: map_at_5
+      value: 16.835
+    - type: mrr_at_1
+      value: 13.672
+    - type: mrr_at_10
+      value: 18.602
+    - type: mrr_at_100
+      value: 19.434
+    - type: mrr_at_1000
+      value: 19.526
+    - type: mrr_at_3
+      value: 17.213
+    - type: mrr_at_5
+      value: 17.942
+    - type: ndcg_at_1
+      value: 13.672
+    - type: ndcg_at_10
+      value: 20.339
+    - type: ndcg_at_100
+      value: 24.979000000000003
+    - type: ndcg_at_1000
+      value: 28.186
+    - type: ndcg_at_3
+      value: 17.5
+    - type: ndcg_at_5
+      value: 18.791
+    - type: precision_at_1
+      value: 13.672
+    - type: precision_at_10
+      value: 3.209
+    - type: precision_at_100
+      value: 0.5890000000000001
+    - type: precision_at_1000
+      value: 0.091
+    - type: precision_at_3
+      value: 7.571
+    - type: precision_at_5
+      value: 5.311
+    - type: recall_at_1
+      value: 12.674
+    - type: recall_at_10
+      value: 28.096
+    - type: recall_at_100
+      value: 50.444
+    - type: recall_at_1000
+      value: 75.581
+    - type: recall_at_3
+      value: 20.330000000000002
+    - type: recall_at_5
+      value: 23.384
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 6.537
+    - type: map_at_10
+      value: 9.889000000000001
+    - type: map_at_100
+      value: 10.775
+    - type: map_at_1000
+      value: 10.902000000000001
+    - type: map_at_3
+      value: 8.639
+    - type: map_at_5
+      value: 9.264
+    - type: mrr_at_1
+      value: 8.706
+    - type: mrr_at_10
+      value: 12.606
+    - type: mrr_at_100
+      value: 13.455
+    - type: mrr_at_1000
+      value: 13.557
+    - type: mrr_at_3
+      value: 11.111
+    - type: mrr_at_5
+      value: 11.801
+    - type: ndcg_at_1
+      value: 8.706
+    - type: ndcg_at_10
+      value: 12.617999999999999
+    - type: ndcg_at_100
+      value: 17.34
+    - type: ndcg_at_1000
+      value: 20.905
+    - type: ndcg_at_3
+      value: 10.027999999999999
+    - type: ndcg_at_5
+      value: 11.063
+    - type: precision_at_1
+      value: 8.706
+    - type: precision_at_10
+      value: 2.45
+    - type: precision_at_100
+      value: 0.573
+    - type: precision_at_1000
+      value: 0.10200000000000001
+    - type: precision_at_3
+      value: 4.934
+    - type: precision_at_5
+      value: 3.6319999999999997
+    - type: recall_at_1
+      value: 6.537
+    - type: recall_at_10
+      value: 18.593
+    - type: recall_at_100
+      value: 39.922999999999995
+    - type: recall_at_1000
+      value: 66.08000000000001
+    - type: recall_at_3
+      value: 11.27
+    - type: recall_at_5
+      value: 13.996
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 18.319
+    - type: map_at_10
+      value: 24.237000000000002
+    - type: map_at_100
+      value: 25.406000000000002
+    - type: map_at_1000
+      value: 25.554
+    - type: map_at_3
+      value: 22.032
+    - type: map_at_5
+      value: 23.258000000000003
+    - type: mrr_at_1
+      value: 22.522000000000002
+    - type: mrr_at_10
+      value: 28.764
+    - type: mrr_at_100
+      value: 29.692
+    - type: mrr_at_1000
+      value: 29.781999999999996
+    - type: mrr_at_3
+      value: 26.468000000000004
+    - type: mrr_at_5
+      value: 27.801
+    - type: ndcg_at_1
+      value: 22.522000000000002
+    - type: ndcg_at_10
+      value: 28.549999999999997
+    - type: ndcg_at_100
+      value: 34.126
+    - type: ndcg_at_1000
+      value: 37.471
+    - type: ndcg_at_3
+      value: 24.643
+    - type: ndcg_at_5
+      value: 26.537
+    - type: precision_at_1
+      value: 22.522000000000002
+    - type: precision_at_10
+      value: 5.2940000000000005
+    - type: precision_at_100
+      value: 0.97
+    - type: precision_at_1000
+      value: 0.146
+    - type: precision_at_3
+      value: 11.485
+    - type: precision_at_5
+      value: 8.508000000000001
+    - type: recall_at_1
+      value: 18.319
+    - type: recall_at_10
+      value: 37.061
+    - type: recall_at_100
+      value: 61.68
+    - type: recall_at_1000
+      value: 84.885
+    - type: recall_at_3
+      value: 26.117
+    - type: recall_at_5
+      value: 30.939
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 12.307
+    - type: map_at_10
+      value: 17.764
+    - type: map_at_100
+      value: 18.843
+    - type: map_at_1000
+      value: 18.983
+    - type: map_at_3
+      value: 15.774
+    - type: map_at_5
+      value: 16.872999999999998
+    - type: mrr_at_1
+      value: 15.753
+    - type: mrr_at_10
+      value: 21.42
+    - type: mrr_at_100
+      value: 22.351
+    - type: mrr_at_1000
+      value: 22.448999999999998
+    - type: mrr_at_3
+      value: 19.368
+    - type: mrr_at_5
+      value: 20.527
+    - type: ndcg_at_1
+      value: 15.753
+    - type: ndcg_at_10
+      value: 21.573
+    - type: ndcg_at_100
+      value: 26.994
+    - type: ndcg_at_1000
+      value: 30.407
+    - type: ndcg_at_3
+      value: 17.968
+    - type: ndcg_at_5
+      value: 19.669
+    - type: precision_at_1
+      value: 15.753
+    - type: precision_at_10
+      value: 4.144
+    - type: precision_at_100
+      value: 0.826
+    - type: precision_at_1000
+      value: 0.129
+    - type: precision_at_3
+      value: 8.638
+    - type: precision_at_5
+      value: 6.575
+    - type: recall_at_1
+      value: 12.307
+    - type: recall_at_10
+      value: 29.615000000000002
+    - type: recall_at_100
+      value: 53.729000000000006
+    - type: recall_at_1000
+      value: 77.751
+    - type: recall_at_3
+      value: 19.584
+    - type: recall_at_5
+      value: 23.923
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 13.978749999999998
+    - type: map_at_10
+      value: 19.17908333333333
+    - type: map_at_100
+      value: 20.128416666666666
+    - type: map_at_1000
+      value: 20.25808333333333
+    - type: map_at_3
+      value: 17.398
+    - type: map_at_5
+      value: 18.342999999999996
+    - type: mrr_at_1
+      value: 17.03141666666667
+    - type: mrr_at_10
+      value: 22.300083333333333
+    - type: mrr_at_100
+      value: 23.13458333333334
+    - type: mrr_at_1000
+      value: 23.222583333333333
+    - type: mrr_at_3
+      value: 20.495749999999997
+    - type: mrr_at_5
+      value: 21.48033333333333
+    - type: ndcg_at_1
+      value: 17.03141666666667
+    - type: ndcg_at_10
+      value: 22.739833333333337
+    - type: ndcg_at_100
+      value: 27.511749999999996
+    - type: ndcg_at_1000
+      value: 30.706333333333337
+    - type: ndcg_at_3
+      value: 19.47566666666667
+    - type: ndcg_at_5
+      value: 20.91025
+    - type: precision_at_1
+      value: 17.03141666666667
+    - type: precision_at_10
+      value: 4.118166666666667
+    - type: precision_at_100
+      value: 0.7796666666666667
+    - type: precision_at_1000
+      value: 0.12458333333333332
+    - type: precision_at_3
+      value: 9.0545
+    - type: precision_at_5
+      value: 6.56175
+    - type: recall_at_1
+      value: 13.978749999999998
+    - type: recall_at_10
+      value: 30.441333333333333
+    - type: recall_at_100
+      value: 52.37841666666667
+    - type: recall_at_1000
+      value: 75.46725
+    - type: recall_at_3
+      value: 21.12483333333333
+    - type: recall_at_5
+      value: 24.88366666666667
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 10.685
+    - type: map_at_10
+      value: 14.92
+    - type: map_at_100
+      value: 15.620000000000001
+    - type: map_at_1000
+      value: 15.702
+    - type: map_at_3
+      value: 13.327
+    - type: map_at_5
+      value: 14.148
+    - type: mrr_at_1
+      value: 12.73
+    - type: mrr_at_10
+      value: 16.999
+    - type: mrr_at_100
+      value: 17.727999999999998
+    - type: mrr_at_1000
+      value: 17.799
+    - type: mrr_at_3
+      value: 15.440000000000001
+    - type: mrr_at_5
+      value: 16.299
+    - type: ndcg_at_1
+      value: 12.73
+    - type: ndcg_at_10
+      value: 17.892
+    - type: ndcg_at_100
+      value: 21.819
+    - type: ndcg_at_1000
+      value: 24.238
+    - type: ndcg_at_3
+      value: 14.865999999999998
+    - type: ndcg_at_5
+      value: 16.157
+    - type: precision_at_1
+      value: 12.73
+    - type: precision_at_10
+      value: 3.16
+    - type: precision_at_100
+      value: 0.563
+    - type: precision_at_1000
+      value: 0.084
+    - type: precision_at_3
+      value: 6.902
+    - type: precision_at_5
+      value: 5.031
+    - type: recall_at_1
+      value: 10.685
+    - type: recall_at_10
+      value: 25.291999999999998
+    - type: recall_at_100
+      value: 43.815
+    - type: recall_at_1000
+      value: 62.278
+    - type: recall_at_3
+      value: 16.481
+    - type: recall_at_5
+      value: 19.869
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 7.295
+    - type: map_at_10
+      value: 10.568
+    - type: map_at_100
+      value: 11.224
+    - type: map_at_1000
+      value: 11.354000000000001
+    - type: map_at_3
+      value: 9.41
+    - type: map_at_5
+      value: 10.055
+    - type: mrr_at_1
+      value: 9.36
+    - type: mrr_at_10
+      value: 12.956000000000001
+    - type: mrr_at_100
+      value: 13.628000000000002
+    - type: mrr_at_1000
+      value: 13.735
+    - type: mrr_at_3
+      value: 11.608
+    - type: mrr_at_5
+      value: 12.367
+    - type: ndcg_at_1
+      value: 9.36
+    - type: ndcg_at_10
+      value: 12.992
+    - type: ndcg_at_100
+      value: 16.681
+    - type: ndcg_at_1000
+      value: 20.355
+    - type: ndcg_at_3
+      value: 10.756
+    - type: ndcg_at_5
+      value: 11.805
+    - type: precision_at_1
+      value: 9.36
+    - type: precision_at_10
+      value: 2.46
+    - type: precision_at_100
+      value: 0.523
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 5.1499999999999995
+    - type: precision_at_5
+      value: 3.882
+    - type: recall_at_1
+      value: 7.295
+    - type: recall_at_10
+      value: 18.109
+    - type: recall_at_100
+      value: 35.382000000000005
+    - type: recall_at_1000
+      value: 62.734
+    - type: recall_at_3
+      value: 11.906
+    - type: recall_at_5
+      value: 14.524999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 12.784999999999998
+    - type: map_at_10
+      value: 16.897000000000002
+    - type: map_at_100
+      value: 17.804000000000002
+    - type: map_at_1000
+      value: 17.925
+    - type: map_at_3
+      value: 15.494
+    - type: map_at_5
+      value: 16.223000000000003
+    - type: mrr_at_1
+      value: 15.485
+    - type: mrr_at_10
+      value: 20.007
+    - type: mrr_at_100
+      value: 20.882
+    - type: mrr_at_1000
+      value: 20.979
+    - type: mrr_at_3
+      value: 18.392
+    - type: mrr_at_5
+      value: 19.320999999999998
+    - type: ndcg_at_1
+      value: 15.485
+    - type: ndcg_at_10
+      value: 19.993
+    - type: ndcg_at_100
+      value: 24.945999999999998
+    - type: ndcg_at_1000
+      value: 28.233000000000004
+    - type: ndcg_at_3
+      value: 17.19
+    - type: ndcg_at_5
+      value: 18.404999999999998
+    - type: precision_at_1
+      value: 15.485
+    - type: precision_at_10
+      value: 3.3680000000000003
+    - type: precision_at_100
+      value: 0.654
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 7.805
+    - type: precision_at_5
+      value: 5.56
+    - type: recall_at_1
+      value: 12.784999999999998
+    - type: recall_at_10
+      value: 26.740000000000002
+    - type: recall_at_100
+      value: 49.907000000000004
+    - type: recall_at_1000
+      value: 73.85000000000001
+    - type: recall_at_3
+      value: 18.741
+    - type: recall_at_5
+      value: 21.894
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 15.253
+    - type: map_at_10
+      value: 20.666999999999998
+    - type: map_at_100
+      value: 21.809
+    - type: map_at_1000
+      value: 22.012
+    - type: map_at_3
+      value: 18.754
+    - type: map_at_5
+      value: 19.743
+    - type: mrr_at_1
+      value: 19.17
+    - type: mrr_at_10
+      value: 24.614
+    - type: mrr_at_100
+      value: 25.487
+    - type: mrr_at_1000
+      value: 25.575
+    - type: mrr_at_3
+      value: 22.759999999999998
+    - type: mrr_at_5
+      value: 23.818
+    - type: ndcg_at_1
+      value: 19.17
+    - type: ndcg_at_10
+      value: 24.685000000000002
+    - type: ndcg_at_100
+      value: 29.84
+    - type: ndcg_at_1000
+      value: 33.548
+    - type: ndcg_at_3
+      value: 21.569
+    - type: ndcg_at_5
+      value: 22.842000000000002
+    - type: precision_at_1
+      value: 19.17
+    - type: precision_at_10
+      value: 4.862
+    - type: precision_at_100
+      value: 1.105
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 10.277
+    - type: precision_at_5
+      value: 7.431
+    - type: recall_at_1
+      value: 15.253
+    - type: recall_at_10
+      value: 31.858999999999998
+    - type: recall_at_100
+      value: 56.477999999999994
+    - type: recall_at_1000
+      value: 81.56099999999999
+    - type: recall_at_3
+      value: 22.11
+    - type: recall_at_5
+      value: 26.003
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 9.68
+    - type: map_at_10
+      value: 14.121
+    - type: map_at_100
+      value: 14.923
+    - type: map_at_1000
+      value: 15.046999999999999
+    - type: map_at_3
+      value: 12.73
+    - type: map_at_5
+      value: 13.402
+    - type: mrr_at_1
+      value: 10.906
+    - type: mrr_at_10
+      value: 15.549
+    - type: mrr_at_100
+      value: 16.302
+    - type: mrr_at_1000
+      value: 16.407
+    - type: mrr_at_3
+      value: 13.986
+    - type: mrr_at_5
+      value: 14.743999999999998
+    - type: ndcg_at_1
+      value: 10.906
+    - type: ndcg_at_10
+      value: 17.064
+    - type: ndcg_at_100
+      value: 21.474
+    - type: ndcg_at_1000
+      value: 24.964
+    - type: ndcg_at_3
+      value: 14.069
+    - type: ndcg_at_5
+      value: 15.268999999999998
+    - type: precision_at_1
+      value: 10.906
+    - type: precision_at_10
+      value: 2.828
+    - type: precision_at_100
+      value: 0.551
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 6.1
+    - type: precision_at_5
+      value: 4.399
+    - type: recall_at_1
+      value: 9.68
+    - type: recall_at_10
+      value: 24.941
+    - type: recall_at_100
+      value: 46.189
+    - type: recall_at_1000
+      value: 72.796
+    - type: recall_at_3
+      value: 16.765
+    - type: recall_at_5
+      value: 19.55
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 6.151
+    - type: map_at_10
+      value: 11.699
+    - type: map_at_100
+      value: 13.213
+    - type: map_at_1000
+      value: 13.441
+    - type: map_at_3
+      value: 9.356
+    - type: map_at_5
+      value: 10.456999999999999
+    - type: mrr_at_1
+      value: 13.29
+    - type: mrr_at_10
+      value: 23.102
+    - type: mrr_at_100
+      value: 24.262
+    - type: mrr_at_1000
+      value: 24.332
+    - type: mrr_at_3
+      value: 19.75
+    - type: mrr_at_5
+      value: 21.490000000000002
+    - type: ndcg_at_1
+      value: 13.29
+    - type: ndcg_at_10
+      value: 17.761
+    - type: ndcg_at_100
+      value: 24.587
+    - type: ndcg_at_1000
+      value: 29.004
+    - type: ndcg_at_3
+      value: 13.247
+    - type: ndcg_at_5
+      value: 14.776
+    - type: precision_at_1
+      value: 13.29
+    - type: precision_at_10
+      value: 6.104
+    - type: precision_at_100
+      value: 1.343
+    - type: precision_at_1000
+      value: 0.213
+    - type: precision_at_3
+      value: 10.315000000000001
+    - type: precision_at_5
+      value: 8.352
+    - type: recall_at_1
+      value: 6.151
+    - type: recall_at_10
+      value: 23.374
+    - type: recall_at_100
+      value: 47.381
+    - type: recall_at_1000
+      value: 72.707
+    - type: recall_at_3
+      value: 12.709000000000001
+    - type: recall_at_5
+      value: 16.575
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 3.2969999999999997
+    - type: map_at_10
+      value: 8.185
+    - type: map_at_100
+      value: 11.555
+    - type: map_at_1000
+      value: 12.506
+    - type: map_at_3
+      value: 5.63
+    - type: map_at_5
+      value: 6.851
+    - type: mrr_at_1
+      value: 37.5
+    - type: mrr_at_10
+      value: 47.846
+    - type: mrr_at_100
+      value: 48.595
+    - type: mrr_at_1000
+      value: 48.619
+    - type: mrr_at_3
+      value: 44.792
+    - type: mrr_at_5
+      value: 46.367000000000004
+    - type: ndcg_at_1
+      value: 27.375
+    - type: ndcg_at_10
+      value: 21.753
+    - type: ndcg_at_100
+      value: 24.714
+    - type: ndcg_at_1000
+      value: 31.426
+    - type: ndcg_at_3
+      value: 23.781
+    - type: ndcg_at_5
+      value: 22.808
+    - type: precision_at_1
+      value: 37.5
+    - type: precision_at_10
+      value: 19.775000000000002
+    - type: precision_at_100
+      value: 6.45
+    - type: precision_at_1000
+      value: 1.434
+    - type: precision_at_3
+      value: 28.333000000000002
+    - type: precision_at_5
+      value: 24.95
+    - type: recall_at_1
+      value: 3.2969999999999997
+    - type: recall_at_10
+      value: 12.861
+    - type: recall_at_100
+      value: 31.055
+    - type: recall_at_1000
+      value: 53.855
+    - type: recall_at_3
+      value: 6.848999999999999
+    - type: recall_at_5
+      value: 9.328
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 45.91
+    - type: f1
+      value: 41.614000185716236
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 14.413
+    - type: map_at_10
+      value: 21.197
+    - type: map_at_100
+      value: 22.116
+    - type: map_at_1000
+      value: 22.186
+    - type: map_at_3
+      value: 18.867
+    - type: map_at_5
+      value: 20.154
+    - type: mrr_at_1
+      value: 15.302
+    - type: mrr_at_10
+      value: 22.462
+    - type: mrr_at_100
+      value: 23.391000000000002
+    - type: mrr_at_1000
+      value: 23.452
+    - type: mrr_at_3
+      value: 20.012
+    - type: mrr_at_5
+      value: 21.38
+    - type: ndcg_at_1
+      value: 15.302
+    - type: ndcg_at_10
+      value: 25.458
+    - type: ndcg_at_100
+      value: 30.144
+    - type: ndcg_at_1000
+      value: 32.124
+    - type: ndcg_at_3
+      value: 20.638
+    - type: ndcg_at_5
+      value: 22.964000000000002
+    - type: precision_at_1
+      value: 15.302
+    - type: precision_at_10
+      value: 4.086
+    - type: precision_at_100
+      value: 0.662
+    - type: precision_at_1000
+      value: 0.08499999999999999
+    - type: precision_at_3
+      value: 8.806
+    - type: precision_at_5
+      value: 6.514
+    - type: recall_at_1
+      value: 14.413
+    - type: recall_at_10
+      value: 37.682
+    - type: recall_at_100
+      value: 59.521
+    - type: recall_at_1000
+      value: 74.95100000000001
+    - type: recall_at_3
+      value: 24.618000000000002
+    - type: recall_at_5
+      value: 30.186
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 6.948
+    - type: map_at_10
+      value: 11.461
+    - type: map_at_100
+      value: 12.565000000000001
+    - type: map_at_1000
+      value: 12.76
+    - type: map_at_3
+      value: 9.679
+    - type: map_at_5
+      value: 10.59
+    - type: mrr_at_1
+      value: 13.58
+    - type: mrr_at_10
+      value: 19.377
+    - type: mrr_at_100
+      value: 20.435
+    - type: mrr_at_1000
+      value: 20.526
+    - type: mrr_at_3
+      value: 17.000999999999998
+    - type: mrr_at_5
+      value: 18.374
+    - type: ndcg_at_1
+      value: 13.58
+    - type: ndcg_at_10
+      value: 15.756999999999998
+    - type: ndcg_at_100
+      value: 21.529999999999998
+    - type: ndcg_at_1000
+      value: 25.956000000000003
+    - type: ndcg_at_3
+      value: 12.848
+    - type: ndcg_at_5
+      value: 13.998
+    - type: precision_at_1
+      value: 13.58
+    - type: precision_at_10
+      value: 4.491
+    - type: precision_at_100
+      value: 1.035
+    - type: precision_at_1000
+      value: 0.182
+    - type: precision_at_3
+      value: 8.385
+    - type: precision_at_5
+      value: 6.6049999999999995
+    - type: recall_at_1
+      value: 6.948
+    - type: recall_at_10
+      value: 20.569000000000003
+    - type: recall_at_100
+      value: 43.488
+    - type: recall_at_1000
+      value: 70.87400000000001
+    - type: recall_at_3
+      value: 12.17
+    - type: recall_at_5
+      value: 15.495999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 14.854999999999999
+    - type: map_at_10
+      value: 21.003
+    - type: map_at_100
+      value: 21.797
+    - type: map_at_1000
+      value: 21.904
+    - type: map_at_3
+      value: 19.258
+    - type: map_at_5
+      value: 20.188
+    - type: mrr_at_1
+      value: 29.709999999999997
+    - type: mrr_at_10
+      value: 36.414
+    - type: mrr_at_100
+      value: 37.113
+    - type: mrr_at_1000
+      value: 37.179
+    - type: mrr_at_3
+      value: 34.542
+    - type: mrr_at_5
+      value: 35.619
+    - type: ndcg_at_1
+      value: 29.709999999999997
+    - type: ndcg_at_10
+      value: 27.198
+    - type: ndcg_at_100
+      value: 31.052999999999997
+    - type: ndcg_at_1000
+      value: 33.757
+    - type: ndcg_at_3
+      value: 23.775
+    - type: ndcg_at_5
+      value: 25.399
+    - type: precision_at_1
+      value: 29.709999999999997
+    - type: precision_at_10
+      value: 6.078
+    - type: precision_at_100
+      value: 0.919
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_3
+      value: 15.093
+    - type: precision_at_5
+      value: 10.344000000000001
+    - type: recall_at_1
+      value: 14.854999999999999
+    - type: recall_at_10
+      value: 30.392000000000003
+    - type: recall_at_100
+      value: 45.949
+    - type: recall_at_1000
+      value: 64.078
+    - type: recall_at_3
+      value: 22.64
+    - type: recall_at_5
+      value: 25.861
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 66.3596
+    - type: ap
+      value: 60.91255566890042
+    - type: f1
+      value: 66.1523853101571
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 6.046
+    - type: map_at_10
+      value: 10.651
+    - type: map_at_100
+      value: 11.505
+    - type: map_at_1000
+      value: 11.61
+    - type: map_at_3
+      value: 8.959999999999999
+    - type: map_at_5
+      value: 9.843
+    - type: mrr_at_1
+      value: 6.261
+    - type: mrr_at_10
+      value: 10.934000000000001
+    - type: mrr_at_100
+      value: 11.795
+    - type: mrr_at_1000
+      value: 11.897
+    - type: mrr_at_3
+      value: 9.205
+    - type: mrr_at_5
+      value: 10.112
+    - type: ndcg_at_1
+      value: 6.246
+    - type: ndcg_at_10
+      value: 13.559
+    - type: ndcg_at_100
+      value: 18.291
+    - type: ndcg_at_1000
+      value: 21.503
+    - type: ndcg_at_3
+      value: 10.012
+    - type: ndcg_at_5
+      value: 11.605
+    - type: precision_at_1
+      value: 6.246
+    - type: precision_at_10
+      value: 2.357
+    - type: precision_at_100
+      value: 0.481
+    - type: precision_at_1000
+      value: 0.076
+    - type: precision_at_3
+      value: 4.436
+    - type: precision_at_5
+      value: 3.4610000000000003
+    - type: recall_at_1
+      value: 6.046
+    - type: recall_at_10
+      value: 22.621
+    - type: recall_at_100
+      value: 45.829
+    - type: recall_at_1000
+      value: 71.735
+    - type: recall_at_3
+      value: 12.826
+    - type: recall_at_5
+      value: 16.658
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 88.10989512083903
+    - type: f1
+      value: 87.64152476625755
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 57.87505699954399
+    - type: f1
+      value: 40.00822983589675
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 63.21788836583726
+    - type: f1
+      value: 61.64373490787742
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 72.50168123739071
+    - type: f1
+      value: 71.25047204682383
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 29.30894849088611
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 27.369395178404975
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.225892079841838
+    - type: mrr
+      value: 31.239259568046673
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 4.115
+    - type: map_at_10
+      value: 7.8149999999999995
+    - type: map_at_100
+      value: 9.962
+    - type: map_at_1000
+      value: 11.253
+    - type: map_at_3
+      value: 6.014
+    - type: map_at_5
+      value: 6.874
+    - type: mrr_at_1
+      value: 32.198
+    - type: mrr_at_10
+      value: 42.025
+    - type: mrr_at_100
+      value: 42.875
+    - type: mrr_at_1000
+      value: 42.925999999999995
+    - type: mrr_at_3
+      value: 39.318999999999996
+    - type: mrr_at_5
+      value: 41.192
+    - type: ndcg_at_1
+      value: 30.186
+    - type: ndcg_at_10
+      value: 24.194
+    - type: ndcg_at_100
+      value: 23.426
+    - type: ndcg_at_1000
+      value: 32.955
+    - type: ndcg_at_3
+      value: 27.528999999999996
+    - type: ndcg_at_5
+      value: 26.295
+    - type: precision_at_1
+      value: 32.198
+    - type: precision_at_10
+      value: 17.740000000000002
+    - type: precision_at_100
+      value: 6.433
+    - type: precision_at_1000
+      value: 1.9609999999999999
+    - type: precision_at_3
+      value: 26.006
+    - type: precision_at_5
+      value: 22.786
+    - type: recall_at_1
+      value: 4.115
+    - type: recall_at_10
+      value: 11.774
+    - type: recall_at_100
+      value: 26.046999999999997
+    - type: recall_at_1000
+      value: 60.171
+    - type: recall_at_3
+      value: 6.935
+    - type: recall_at_5
+      value: 8.958
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 7.959
+    - type: map_at_10
+      value: 13.771
+    - type: map_at_100
+      value: 14.954
+    - type: map_at_1000
+      value: 15.061
+    - type: map_at_3
+      value: 11.548
+    - type: map_at_5
+      value: 12.686
+    - type: mrr_at_1
+      value: 9.067
+    - type: mrr_at_10
+      value: 15.262
+    - type: mrr_at_100
+      value: 16.358
+    - type: mrr_at_1000
+      value: 16.447
+    - type: mrr_at_3
+      value: 12.895999999999999
+    - type: mrr_at_5
+      value: 14.13
+    - type: ndcg_at_1
+      value: 9.067
+    - type: ndcg_at_10
+      value: 17.711
+    - type: ndcg_at_100
+      value: 23.771
+    - type: ndcg_at_1000
+      value: 26.695
+    - type: ndcg_at_3
+      value: 13.04
+    - type: ndcg_at_5
+      value: 15.098
+    - type: precision_at_1
+      value: 9.067
+    - type: precision_at_10
+      value: 3.36
+    - type: precision_at_100
+      value: 0.6819999999999999
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_3
+      value: 6.132
+    - type: precision_at_5
+      value: 4.832
+    - type: recall_at_1
+      value: 7.959
+    - type: recall_at_10
+      value: 28.529
+    - type: recall_at_100
+      value: 56.747
+    - type: recall_at_1000
+      value: 79.251
+    - type: recall_at_3
+      value: 16.066
+    - type: recall_at_5
+      value: 20.836
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 63.468999999999994
+    - type: map_at_10
+      value: 76.363
+    - type: map_at_100
+      value: 77.13799999999999
+    - type: map_at_1000
+      value: 77.169
+    - type: map_at_3
+      value: 73.303
+    - type: map_at_5
+      value: 75.139
+    - type: mrr_at_1
+      value: 73.09
+    - type: mrr_at_10
+      value: 80.379
+    - type: mrr_at_100
+      value: 80.632
+    - type: mrr_at_1000
+      value: 80.637
+    - type: mrr_at_3
+      value: 78.9
+    - type: mrr_at_5
+      value: 79.83200000000001
+    - type: ndcg_at_1
+      value: 73.14
+    - type: ndcg_at_10
+      value: 80.99
+    - type: ndcg_at_100
+      value: 83.086
+    - type: ndcg_at_1000
+      value: 83.421
+    - type: ndcg_at_3
+      value: 77.263
+    - type: ndcg_at_5
+      value: 79.175
+    - type: precision_at_1
+      value: 73.14
+    - type: precision_at_10
+      value: 12.324
+    - type: precision_at_100
+      value: 1.469
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 33.562999999999995
+    - type: precision_at_5
+      value: 22.259999999999998
+    - type: recall_at_1
+      value: 63.468999999999994
+    - type: recall_at_10
+      value: 89.997
+    - type: recall_at_100
+      value: 97.87
+    - type: recall_at_1000
+      value: 99.714
+    - type: recall_at_3
+      value: 79.45100000000001
+    - type: recall_at_5
+      value: 84.652
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 40.96803215988553
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 44.76290891260663
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.118
+    - type: map_at_10
+      value: 7.127999999999999
+    - type: map_at_100
+      value: 8.551
+    - type: map_at_1000
+      value: 8.819
+    - type: map_at_3
+      value: 5.269
+    - type: map_at_5
+      value: 6.136
+    - type: mrr_at_1
+      value: 15.299999999999999
+    - type: mrr_at_10
+      value: 23.138
+    - type: mrr_at_100
+      value: 24.354
+    - type: mrr_at_1000
+      value: 24.449
+    - type: mrr_at_3
+      value: 20.349999999999998
+    - type: mrr_at_5
+      value: 21.875
+    - type: ndcg_at_1
+      value: 15.299999999999999
+    - type: ndcg_at_10
+      value: 12.7
+    - type: ndcg_at_100
+      value: 19.177
+    - type: ndcg_at_1000
+      value: 24.578
+    - type: ndcg_at_3
+      value: 12.076
+    - type: ndcg_at_5
+      value: 10.446
+    - type: precision_at_1
+      value: 15.299999999999999
+    - type: precision_at_10
+      value: 6.5600000000000005
+    - type: precision_at_100
+      value: 1.598
+    - type: precision_at_1000
+      value: 0.29
+    - type: precision_at_3
+      value: 11.200000000000001
+    - type: precision_at_5
+      value: 9.04
+    - type: recall_at_1
+      value: 3.118
+    - type: recall_at_10
+      value: 13.297999999999998
+    - type: recall_at_100
+      value: 32.427
+    - type: recall_at_1000
+      value: 58.885
+    - type: recall_at_3
+      value: 6.827999999999999
+    - type: recall_at_5
+      value: 9.173
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.43930654983161
+    - type: cos_sim_spearman
+      value: 64.67852678771158
+    - type: euclidean_pearson
+      value: 71.3061879333313
+    - type: euclidean_spearman
+      value: 64.67866157468679
+    - type: manhattan_pearson
+      value: 69.51075530995897
+    - type: manhattan_spearman
+      value: 63.82662313156165
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 73.65362279607574
+    - type: cos_sim_spearman
+      value: 64.97375169407779
+    - type: euclidean_pearson
+      value: 70.50786081642359
+    - type: euclidean_spearman
+      value: 64.97517508701773
+    - type: manhattan_pearson
+      value: 69.51012145127774
+    - type: manhattan_spearman
+      value: 64.81905653953442
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.02560272667618
+    - type: cos_sim_spearman
+      value: 76.85285173868739
+    - type: euclidean_pearson
+      value: 76.51659956643294
+    - type: euclidean_spearman
+      value: 76.85288956038684
+    - type: manhattan_pearson
+      value: 77.15391795740369
+    - type: manhattan_spearman
+      value: 77.55482712197826
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.88413419187634
+    - type: cos_sim_spearman
+      value: 71.81224584659623
+    - type: euclidean_pearson
+      value: 75.30536428389317
+    - type: euclidean_spearman
+      value: 71.81223615883246
+    - type: manhattan_pearson
+      value: 74.49619807839628
+    - type: manhattan_spearman
+      value: 71.45719514379861
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.17595987680231
+    - type: cos_sim_spearman
+      value: 79.69244239201231
+    - type: euclidean_pearson
+      value: 79.76482765319105
+    - type: euclidean_spearman
+      value: 79.69243514352287
+    - type: manhattan_pearson
+      value: 78.95938461387554
+    - type: manhattan_spearman
+      value: 79.12374541215064
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 74.19691031147148
+    - type: cos_sim_spearman
+      value: 75.6670693739496
+    - type: euclidean_pearson
+      value: 75.83043624320031
+    - type: euclidean_spearman
+      value: 75.66761977438898
+    - type: manhattan_pearson
+      value: 75.77299348357039
+    - type: manhattan_spearman
+      value: 75.55171542186395
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.6132447770844
+    - type: cos_sim_spearman
+      value: 82.86761864975185
+    - type: euclidean_pearson
+      value: 82.79978751053565
+    - type: euclidean_spearman
+      value: 82.8684934691074
+    - type: manhattan_pearson
+      value: 82.34063577443474
+    - type: manhattan_spearman
+      value: 82.44500370747792
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 57.122789236461344
+    - type: cos_sim_spearman
+      value: 59.32471385840999
+    - type: euclidean_pearson
+      value: 60.436929454793386
+    - type: euclidean_spearman
+      value: 59.32471385840999
+    - type: manhattan_pearson
+      value: 62.55817551321529
+    - type: manhattan_spearman
+      value: 60.72936294004832
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 75.51421130475329
+    - type: cos_sim_spearman
+      value: 74.18767551459518
+    - type: euclidean_pearson
+      value: 76.30778235018026
+    - type: euclidean_spearman
+      value: 74.18769398451926
+    - type: manhattan_pearson
+      value: 75.98020747073735
+    - type: manhattan_spearman
+      value: 74.1108346690318
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 74.72194768168208
+    - type: mrr
+      value: 91.43610293120096
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 30.528
+    - type: map_at_10
+      value: 39.351
+    - type: map_at_100
+      value: 40.461000000000006
+    - type: map_at_1000
+      value: 40.535
+    - type: map_at_3
+      value: 36.741
+    - type: map_at_5
+      value: 38.588
+    - type: mrr_at_1
+      value: 32.667
+    - type: mrr_at_10
+      value: 41.123
+    - type: mrr_at_100
+      value: 42.135
+    - type: mrr_at_1000
+      value: 42.197
+    - type: mrr_at_3
+      value: 38.944
+    - type: mrr_at_5
+      value: 40.528
+    - type: ndcg_at_1
+      value: 32.667
+    - type: ndcg_at_10
+      value: 44.06
+    - type: ndcg_at_100
+      value: 49.599
+    - type: ndcg_at_1000
+      value: 51.573
+    - type: ndcg_at_3
+      value: 39.373999999999995
+    - type: ndcg_at_5
+      value: 42.393
+    - type: precision_at_1
+      value: 32.667
+    - type: precision_at_10
+      value: 6.267
+    - type: precision_at_100
+      value: 0.9329999999999999
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 16.111
+    - type: precision_at_5
+      value: 11.267000000000001
+    - type: recall_at_1
+      value: 30.528
+    - type: recall_at_10
+      value: 56.77799999999999
+    - type: recall_at_100
+      value: 82.73899999999999
+    - type: recall_at_1000
+      value: 98.2
+    - type: recall_at_3
+      value: 44.806000000000004
+    - type: recall_at_5
+      value: 52.0
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.71386138613862
+    - type: cos_sim_ap
+      value: 91.49236791906557
+    - type: cos_sim_f1
+      value: 85.24262131065534
+    - type: cos_sim_precision
+      value: 85.28528528528528
+    - type: cos_sim_recall
+      value: 85.2
+    - type: dot_accuracy
+      value: 99.71386138613862
+    - type: dot_ap
+      value: 91.49236791906557
+    - type: dot_f1
+      value: 85.24262131065534
+    - type: dot_precision
+      value: 85.28528528528528
+    - type: dot_recall
+      value: 85.2
+    - type: euclidean_accuracy
+      value: 99.71386138613862
+    - type: euclidean_ap
+      value: 91.49236791906557
+    - type: euclidean_f1
+      value: 85.24262131065534
+    - type: euclidean_precision
+      value: 85.28528528528528
+    - type: euclidean_recall
+      value: 85.2
+    - type: manhattan_accuracy
+      value: 99.74356435643564
+    - type: manhattan_ap
+      value: 92.92378153295812
+    - type: manhattan_f1
+      value: 86.91358024691358
+    - type: manhattan_precision
+      value: 85.85365853658537
+    - type: manhattan_recall
+      value: 88.0
+    - type: max_accuracy
+      value: 99.74356435643564
+    - type: max_ap
+      value: 92.92378153295812
+    - type: max_f1
+      value: 86.91358024691358
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 46.49650440995953
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 30.729040984470192
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 42.340961146720595
+    - type: mrr
+      value: 42.78318903318903
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.518691188419957
+    - type: cos_sim_spearman
+      value: 31.803967934264456
+    - type: dot_pearson
+      value: 31.518690928671965
+    - type: dot_spearman
+      value: 31.787757429064612
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.146
+    - type: map_at_10
+      value: 0.9169999999999999
+    - type: map_at_100
+      value: 4.661
+    - type: map_at_1000
+      value: 11.487
+    - type: map_at_3
+      value: 0.332
+    - type: map_at_5
+      value: 0.503
+    - type: mrr_at_1
+      value: 54.0
+    - type: mrr_at_10
+      value: 66.813
+    - type: mrr_at_100
+      value: 67.338
+    - type: mrr_at_1000
+      value: 67.338
+    - type: mrr_at_3
+      value: 64.333
+    - type: mrr_at_5
+      value: 65.833
+    - type: ndcg_at_1
+      value: 50.0
+    - type: ndcg_at_10
+      value: 45.345
+    - type: ndcg_at_100
+      value: 34.175
+    - type: ndcg_at_1000
+      value: 31.346
+    - type: ndcg_at_3
+      value: 47.038999999999994
+    - type: ndcg_at_5
+      value: 47.219
+    - type: precision_at_1
+      value: 56.00000000000001
+    - type: precision_at_10
+      value: 50.0
+    - type: precision_at_100
+      value: 36.24
+    - type: precision_at_1000
+      value: 15.129999999999999
+    - type: precision_at_3
+      value: 52.666999999999994
+    - type: precision_at_5
+      value: 52.0
+    - type: recall_at_1
+      value: 0.146
+    - type: recall_at_10
+      value: 1.216
+    - type: recall_at_100
+      value: 7.892
+    - type: recall_at_1000
+      value: 30.56
+    - type: recall_at_3
+      value: 0.379
+    - type: recall_at_5
+      value: 0.61
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 2.0140000000000002
+    - type: map_at_10
+      value: 6.574000000000001
+    - type: map_at_100
+      value: 12.025
+    - type: map_at_1000
+      value: 13.649000000000001
+    - type: map_at_3
+      value: 3.5450000000000004
+    - type: map_at_5
+      value: 4.903
+    - type: mrr_at_1
+      value: 28.571
+    - type: mrr_at_10
+      value: 40.943000000000005
+    - type: mrr_at_100
+      value: 42.535000000000004
+    - type: mrr_at_1000
+      value: 42.535000000000004
+    - type: mrr_at_3
+      value: 37.075
+    - type: mrr_at_5
+      value: 38.81
+    - type: ndcg_at_1
+      value: 27.551
+    - type: ndcg_at_10
+      value: 19.471
+    - type: ndcg_at_100
+      value: 32.823
+    - type: ndcg_at_1000
+      value: 44.644
+    - type: ndcg_at_3
+      value: 21.255
+    - type: ndcg_at_5
+      value: 21.438
+    - type: precision_at_1
+      value: 28.571
+    - type: precision_at_10
+      value: 17.347
+    - type: precision_at_100
+      value: 7.5920000000000005
+    - type: precision_at_1000
+      value: 1.508
+    - type: precision_at_3
+      value: 21.088
+    - type: precision_at_5
+      value: 21.633
+    - type: recall_at_1
+      value: 2.0140000000000002
+    - type: recall_at_10
+      value: 11.748
+    - type: recall_at_100
+      value: 46.436
+    - type: recall_at_1000
+      value: 82.16799999999999
+    - type: recall_at_3
+      value: 4.4990000000000006
+    - type: recall_at_5
+      value: 7.423
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 70.5234
+    - type: ap
+      value: 14.633576385764599
+    - type: f1
+      value: 54.63581892147792
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 56.57894736842105
+    - type: f1
+      value: 56.73891238797681
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 38.4061559598505
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.92900995410383
+    - type: cos_sim_ap
+      value: 62.43405323490786
+    - type: cos_sim_f1
+      value: 60.06760019314341
+    - type: cos_sim_precision
+      value: 55.36270582999555
+    - type: cos_sim_recall
+      value: 65.64643799472294
+    - type: dot_accuracy
+      value: 82.92900995410383
+    - type: dot_ap
+      value: 62.43405323490786
+    - type: dot_f1
+      value: 60.06760019314341
+    - type: dot_precision
+      value: 55.36270582999555
+    - type: dot_recall
+      value: 65.64643799472294
+    - type: euclidean_accuracy
+      value: 82.92900995410383
+    - type: euclidean_ap
+      value: 62.43405323490786
+    - type: euclidean_f1
+      value: 60.06760019314341
+    - type: euclidean_precision
+      value: 55.36270582999555
+    - type: euclidean_recall
+      value: 65.64643799472294
+    - type: manhattan_accuracy
+      value: 82.14221851344102
+    - type: manhattan_ap
+      value: 60.311627003336824
+    - type: manhattan_f1
+      value: 58.30150527971243
+    - type: manhattan_precision
+      value: 50.762910798122064
+    - type: manhattan_recall
+      value: 68.46965699208444
+    - type: max_accuracy
+      value: 82.92900995410383
+    - type: max_ap
+      value: 62.43405323490786
+    - type: max_f1
+      value: 60.06760019314341
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.08813598789149
+    - type: cos_sim_ap
+      value: 82.16719168081325
+    - type: cos_sim_f1
+      value: 74.65280302479458
+    - type: cos_sim_precision
+      value: 70.71910731505717
+    - type: cos_sim_recall
+      value: 79.04989220819218
+    - type: dot_accuracy
+      value: 87.08813598789149
+    - type: dot_ap
+      value: 82.16719168228374
+    - type: dot_f1
+      value: 74.65280302479458
+    - type: dot_precision
+      value: 70.71910731505717
+    - type: dot_recall
+      value: 79.04989220819218
+    - type: euclidean_accuracy
+      value: 87.08813598789149
+    - type: euclidean_ap
+      value: 82.16720008129118
+    - type: euclidean_f1
+      value: 74.65280302479458
+    - type: euclidean_precision
+      value: 70.71910731505717
+    - type: euclidean_recall
+      value: 79.04989220819218
+    - type: manhattan_accuracy
+      value: 87.16963558039352
+    - type: manhattan_ap
+      value: 82.17943816238372
+    - type: manhattan_f1
+      value: 74.91245171305823
+    - type: manhattan_precision
+      value: 70.52545714091497
+    - type: manhattan_recall
+      value: 79.88142901139513
+    - type: max_accuracy
+      value: 87.16963558039352
+    - type: max_ap
+      value: 82.17943816238372
+    - type: max_f1
+      value: 74.91245171305823
+---