Update README.md

README.md

@@ -1,1681 +1,1683 @@
----
-tags:
-- mteb
-model-index:
-- name: .\results\technicolor\Angle_BERT
-  results:
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/amazon_counterfactual
-      name: MTEB AmazonCounterfactualClassification (en)
-      config: en
-      split: test
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-    metrics:
-    - type: accuracy
-      value: 77.94029850746269
-    - type: ap
-      value: 41.462497073772475
-    - type: f1
-      value: 71.91276160766711
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/amazon_polarity
-      name: MTEB AmazonPolarityClassification
-      config: default
-      split: test
-      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
-    metrics:
-    - type: accuracy
-      value: 75.998675
-    - type: ap
-      value: 70.68601139811975
-    - type: f1
-      value: 75.80419607148225
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/amazon_reviews_multi
-      name: MTEB AmazonReviewsClassification (en)
-      config: en
-      split: test
-      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
-    metrics:
-    - type: accuracy
-      value: 37.184000000000005
-    - type: f1
-      value: 36.927927910871034
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/arguana
-      name: MTEB ArguAna
-      config: default
-      split: test
-      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
-    metrics:
-    - type: map_at_1
-      value: 18.208
-    - type: map_at_10
-      value: 31.217
-    - type: map_at_100
-      value: 32.504
-    - type: map_at_1000
-      value: 32.543
-    - type: map_at_20
-      value: 32.048
-    - type: map_at_3
-      value: 26.790000000000003
-    - type: map_at_5
-      value: 29.176000000000002
-    - type: mrr_at_1
-      value: 18.990000000000002
-    - type: mrr_at_10
-      value: 31.539
-    - type: mrr_at_100
-      value: 32.818999999999996
-    - type: mrr_at_1000
-      value: 32.857
-    - type: mrr_at_20
-      value: 32.363
-    - type: mrr_at_3
-      value: 27.003
-    - type: mrr_at_5
-      value: 29.518
-    - type: ndcg_at_1
-      value: 18.208
-    - type: ndcg_at_10
-      value: 38.881
-    - type: ndcg_at_100
-      value: 44.931
-    - type: ndcg_at_1000
-      value: 45.864
-    - type: ndcg_at_20
-      value: 41.823
-    - type: ndcg_at_3
-      value: 29.675
-    - type: ndcg_at_5
-      value: 33.964
-    - type: precision_at_1
-      value: 18.208
-    - type: precision_at_10
-      value: 6.358
-    - type: precision_at_100
-      value: 0.914
-    - type: precision_at_1000
-      value: 0.099
-    - type: precision_at_20
-      value: 3.752
-    - type: precision_at_3
-      value: 12.684000000000001
-    - type: precision_at_5
-      value: 9.687
-    - type: recall_at_1
-      value: 18.208
-    - type: recall_at_10
-      value: 63.585
-    - type: recall_at_100
-      value: 91.39399999999999
-    - type: recall_at_1000
-      value: 98.506
-    - type: recall_at_20
-      value: 75.036
-    - type: recall_at_3
-      value: 38.051
-    - type: recall_at_5
-      value: 48.435
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/arxiv-clustering-p2p
-      name: MTEB ArxivClusteringP2P
-      config: default
-      split: test
-      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
-    metrics:
-    - type: v_measure
-      value: 35.32543411547368
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/arxiv-clustering-s2s
-      name: MTEB ArxivClusteringS2S
-      config: default
-      split: test
-      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
-    metrics:
-    - type: v_measure
-      value: 27.664108097727595
-  - task:
-      type: Reranking
-    dataset:
-      type: mteb/askubuntudupquestions-reranking
-      name: MTEB AskUbuntuDupQuestions
-      config: default
-      split: test
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
-    metrics:
-    - type: map
-      value: 51.337125683605656
-    - type: mrr
-      value: 64.09422679505782
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/banking77
-      name: MTEB Banking77Classification
-      config: default
-      split: test
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
-    metrics:
-    - type: accuracy
-      value: 75.49675324675324
-    - type: f1
-      value: 75.43051473772864
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/biorxiv-clustering-p2p
-      name: MTEB BiorxivClusteringP2P
-      config: default
-      split: test
-      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
-    metrics:
-    - type: v_measure
-      value: 30.952117397946154
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/biorxiv-clustering-s2s
-      name: MTEB BiorxivClusteringS2S
-      config: default
-      split: test
-      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
-    metrics:
-    - type: v_measure
-      value: 24.80565572031388
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-android
-      name: MTEB CQADupstackAndroidRetrieval
-      config: default
-      split: test
-      revision: f46a197baaae43b4f621051089b82a364682dfeb
-    metrics:
-    - type: map_at_1
-      value: 18.148
-    - type: map_at_10
-      value: 23.986
-    - type: map_at_100
-      value: 25.028
-    - type: map_at_1000
-      value: 25.163999999999998
-    - type: map_at_20
-      value: 24.526
-    - type: map_at_3
-      value: 21.822
-    - type: map_at_5
-      value: 22.933
-    - type: mrr_at_1
-      value: 23.319000000000003
-    - type: mrr_at_10
-      value: 28.944
-    - type: mrr_at_100
-      value: 29.837999999999997
-    - type: mrr_at_1000
-      value: 29.914
-    - type: mrr_at_20
-      value: 29.441
-    - type: mrr_at_3
-      value: 26.943
-    - type: mrr_at_5
-      value: 27.944999999999997
-    - type: ndcg_at_1
-      value: 23.319000000000003
-    - type: ndcg_at_10
-      value: 28.249000000000002
-    - type: ndcg_at_100
-      value: 33.219
-    - type: ndcg_at_1000
-      value: 36.374
-    - type: ndcg_at_20
-      value: 29.933
-    - type: ndcg_at_3
-      value: 24.845
-    - type: ndcg_at_5
-      value: 26.14
-    - type: precision_at_1
-      value: 23.319000000000003
-    - type: precision_at_10
-      value: 5.351
-    - type: precision_at_100
-      value: 0.971
-    - type: precision_at_1000
-      value: 0.151
-    - type: precision_at_20
-      value: 3.2620000000000005
-    - type: precision_at_3
-      value: 11.922
-    - type: precision_at_5
-      value: 8.555
-    - type: recall_at_1
-      value: 18.148
-    - type: recall_at_10
-      value: 36.144999999999996
-    - type: recall_at_100
-      value: 58.204
-    - type: recall_at_1000
-      value: 79.828
-    - type: recall_at_20
-      value: 42.245
-    - type: recall_at_3
-      value: 25.701
-    - type: recall_at_5
-      value: 29.636000000000003
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-english
-      name: MTEB CQADupstackEnglishRetrieval
-      config: default
-      split: test
-      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
-    metrics:
-    - type: map_at_1
-      value: 14.248
-    - type: map_at_10
-      value: 19.534000000000002
-    - type: map_at_100
-      value: 20.358
-    - type: map_at_1000
-      value: 20.464
-    - type: map_at_20
-      value: 19.965
-    - type: map_at_3
-      value: 17.881
-    - type: map_at_5
-      value: 18.773999999999997
-    - type: mrr_at_1
-      value: 18.025
-    - type: mrr_at_10
-      value: 23.265
-    - type: mrr_at_100
-      value: 24.054000000000002
-    - type: mrr_at_1000
-      value: 24.122
-    - type: mrr_at_20
-      value: 23.702
-    - type: mrr_at_3
-      value: 21.624
-    - type: mrr_at_5
-      value: 22.5
-    - type: ndcg_at_1
-      value: 18.025
-    - type: ndcg_at_10
-      value: 23.0
-    - type: ndcg_at_100
-      value: 27.016000000000002
-    - type: ndcg_at_1000
-      value: 29.751
-    - type: ndcg_at_20
-      value: 24.415
-    - type: ndcg_at_3
-      value: 20.222
-    - type: ndcg_at_5
-      value: 21.379
-    - type: precision_at_1
-      value: 18.025
-    - type: precision_at_10
-      value: 4.35
-    - type: precision_at_100
-      value: 0.796
-    - type: precision_at_1000
-      value: 0.127
-    - type: precision_at_20
-      value: 2.662
-    - type: precision_at_3
-      value: 9.809
-    - type: precision_at_5
-      value: 6.955
-    - type: recall_at_1
-      value: 14.248
-    - type: recall_at_10
-      value: 29.646
-    - type: recall_at_100
-      value: 47.527
-    - type: recall_at_1000
-      value: 66.468
-    - type: recall_at_20
-      value: 34.873
-    - type: recall_at_3
-      value: 21.366
-    - type: recall_at_5
-      value: 24.738
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-gaming
-      name: MTEB CQADupstackGamingRetrieval
-      config: default
-      split: test
-      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
-    metrics:
-    - type: map_at_1
-      value: 19.834
-    - type: map_at_10
-      value: 27.569
-    - type: map_at_100
-      value: 28.601
-    - type: map_at_1000
-      value: 28.705000000000002
-    - type: map_at_20
-      value: 28.194000000000003
-    - type: map_at_3
-      value: 25.352999999999998
-    - type: map_at_5
-      value: 26.512
-    - type: mrr_at_1
-      value: 23.26
-    - type: mrr_at_10
-      value: 30.406
-    - type: mrr_at_100
-      value: 31.291000000000004
-    - type: mrr_at_1000
-      value: 31.371
-    - type: mrr_at_20
-      value: 30.941000000000003
-    - type: mrr_at_3
-      value: 28.485
-    - type: mrr_at_5
-      value: 29.444
-    - type: ndcg_at_1
-      value: 23.26
-    - type: ndcg_at_10
-      value: 31.959
-    - type: ndcg_at_100
-      value: 36.747
-    - type: ndcg_at_1000
-      value: 39.47
-    - type: ndcg_at_20
-      value: 33.992
-    - type: ndcg_at_3
-      value: 27.839999999999996
-    - type: ndcg_at_5
-      value: 29.593999999999998
-    - type: precision_at_1
-      value: 23.26
-    - type: precision_at_10
-      value: 5.436
-    - type: precision_at_100
-      value: 0.8500000000000001
-    - type: precision_at_1000
-      value: 0.116
-    - type: precision_at_20
-      value: 3.235
-    - type: precision_at_3
-      value: 12.684999999999999
-    - type: precision_at_5
-      value: 8.853
-    - type: recall_at_1
-      value: 19.834
-    - type: recall_at_10
-      value: 42.531
-    - type: recall_at_100
-      value: 63.963
-    - type: recall_at_1000
-      value: 84.174
-    - type: recall_at_20
-      value: 50.101
-    - type: recall_at_3
-      value: 31.179000000000002
-    - type: recall_at_5
-      value: 35.567
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-gis
-      name: MTEB CQADupstackGisRetrieval
-      config: default
-      split: test
-      revision: 5003b3064772da1887988e05400cf3806fe491f2
-    metrics:
-    - type: map_at_1
-      value: 9.263
-    - type: map_at_10
-      value: 12.104
-    - type: map_at_100
-      value: 12.736
-    - type: map_at_1000
-      value: 12.836
-    - type: map_at_20
-      value: 12.415
-    - type: map_at_3
-      value: 10.891
-    - type: map_at_5
-      value: 11.443
-    - type: mrr_at_1
-      value: 9.831
-    - type: mrr_at_10
-      value: 12.856000000000002
-    - type: mrr_at_100
-      value: 13.492
-    - type: mrr_at_1000
-      value: 13.587
-    - type: mrr_at_20
-      value: 13.178
-    - type: mrr_at_3
-      value: 11.62
-    - type: mrr_at_5
-      value: 12.218
-    - type: ndcg_at_1
-      value: 9.831
-    - type: ndcg_at_10
-      value: 14.224
-    - type: ndcg_at_100
-      value: 17.78
-    - type: ndcg_at_1000
-      value: 21.078
-    - type: ndcg_at_20
-      value: 15.329999999999998
-    - type: ndcg_at_3
-      value: 11.691
-    - type: ndcg_at_5
-      value: 12.692
-    - type: precision_at_1
-      value: 9.831
-    - type: precision_at_10
-      value: 2.26
-    - type: precision_at_100
-      value: 0.43299999999999994
-    - type: precision_at_1000
-      value: 0.077
-    - type: precision_at_20
-      value: 1.384
-    - type: precision_at_3
-      value: 4.7829999999999995
-    - type: precision_at_5
-      value: 3.458
-    - type: recall_at_1
-      value: 9.263
-    - type: recall_at_10
-      value: 20.293
-    - type: recall_at_100
-      value: 37.507000000000005
-    - type: recall_at_1000
-      value: 63.727000000000004
-    - type: recall_at_20
-      value: 24.424
-    - type: recall_at_3
-      value: 13.215
-    - type: recall_at_5
-      value: 15.661
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-mathematica
-      name: MTEB CQADupstackMathematicaRetrieval
-      config: default
-      split: test
-      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
-    metrics:
-    - type: map_at_1
-      value: 3.936
-    - type: map_at_10
-      value: 5.976
-    - type: map_at_100
-      value: 6.619999999999999
-    - type: map_at_1000
-      value: 6.737
-    - type: map_at_20
-      value: 6.271
-    - type: map_at_3
-      value: 5.179
-    - type: map_at_5
-      value: 5.5
-    - type: mrr_at_1
-      value: 5.348
-    - type: mrr_at_10
-      value: 7.954
-    - type: mrr_at_100
-      value: 8.683
-    - type: mrr_at_1000
-      value: 8.782
-    - type: mrr_at_20
-      value: 8.336
-    - type: mrr_at_3
-      value: 7.027
-    - type: mrr_at_5
-      value: 7.449999999999999
-    - type: ndcg_at_1
-      value: 5.348
-    - type: ndcg_at_10
-      value: 7.832999999999999
-    - type: ndcg_at_100
-      value: 11.567
-    - type: ndcg_at_1000
-      value: 15.213
-    - type: ndcg_at_20
-      value: 8.996
-    - type: ndcg_at_3
-      value: 6.164
-    - type: ndcg_at_5
-      value: 6.726
-    - type: precision_at_1
-      value: 5.348
-    - type: precision_at_10
-      value: 1.617
-    - type: precision_at_100
-      value: 0.42300000000000004
-    - type: precision_at_1000
-      value: 0.08800000000000001
-    - type: precision_at_20
-      value: 1.126
-    - type: precision_at_3
-      value: 3.1919999999999997
-    - type: precision_at_5
-      value: 2.363
-    - type: recall_at_1
-      value: 3.936
-    - type: recall_at_10
-      value: 11.711
-    - type: recall_at_100
-      value: 28.875
-    - type: recall_at_1000
-      value: 56.267
-    - type: recall_at_20
-      value: 15.989999999999998
-    - type: recall_at_3
-      value: 7.087000000000001
-    - type: recall_at_5
-      value: 8.436
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-physics
-      name: MTEB CQADupstackPhysicsRetrieval
-      config: default
-      split: test
-      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
-    metrics:
-    - type: map_at_1
-      value: 13.367999999999999
-    - type: map_at_10
-      value: 19.301
-    - type: map_at_100
-      value: 20.374
-    - type: map_at_1000
-      value: 20.516000000000002
-    - type: map_at_20
-      value: 19.828000000000003
-    - type: map_at_3
-      value: 17.345
-    - type: map_at_5
-      value: 18.39
-    - type: mrr_at_1
-      value: 17.324
-    - type: mrr_at_10
-      value: 23.383000000000003
-    - type: mrr_at_100
-      value: 24.296
-    - type: mrr_at_1000
-      value: 24.375
-    - type: mrr_at_20
-      value: 23.866
-    - type: mrr_at_3
-      value: 21.238
-    - type: mrr_at_5
-      value: 22.336
-    - type: ndcg_at_1
-      value: 17.324
-    - type: ndcg_at_10
-      value: 23.345
-    - type: ndcg_at_100
-      value: 28.645
-    - type: ndcg_at_1000
-      value: 31.902
-    - type: ndcg_at_20
-      value: 25.113999999999997
-    - type: ndcg_at_3
-      value: 19.731
-    - type: ndcg_at_5
-      value: 21.271
-    - type: precision_at_1
-      value: 17.324
-    - type: precision_at_10
-      value: 4.495
-    - type: precision_at_100
-      value: 0.874
-    - type: precision_at_1000
-      value: 0.13799999999999998
-    - type: precision_at_20
-      value: 2.791
-    - type: precision_at_3
-      value: 9.464
-    - type: precision_at_5
-      value: 6.909999999999999
-    - type: recall_at_1
-      value: 13.367999999999999
-    - type: recall_at_10
-      value: 31.749
-    - type: recall_at_100
-      value: 55.078
-    - type: recall_at_1000
-      value: 77.88000000000001
-    - type: recall_at_20
-      value: 38.098
-    - type: recall_at_3
-      value: 21.356
-    - type: recall_at_5
-      value: 25.433
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-programmers
-      name: MTEB CQADupstackProgrammersRetrieval
-      config: default
-      split: test
-      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
-    metrics:
-    - type: map_at_1
-      value: 10.152
-    - type: map_at_10
-      value: 14.658999999999999
-    - type: map_at_100
-      value: 15.522
-    - type: map_at_1000
-      value: 15.653
-    - type: map_at_20
-      value: 15.087
-    - type: map_at_3
-      value: 13.099
-    - type: map_at_5
-      value: 13.941
-    - type: mrr_at_1
-      value: 13.128
-    - type: mrr_at_10
-      value: 18.035999999999998
-    - type: mrr_at_100
-      value: 18.911
-    - type: mrr_at_1000
-      value: 19.003999999999998
-    - type: mrr_at_20
-      value: 18.487000000000002
-    - type: mrr_at_3
-      value: 16.381
-    - type: mrr_at_5
-      value: 17.277
-    - type: ndcg_at_1
-      value: 13.128
-    - type: ndcg_at_10
-      value: 17.949
-    - type: ndcg_at_100
-      value: 22.579
-    - type: ndcg_at_1000
-      value: 26.064
-    - type: ndcg_at_20
-      value: 19.476
-    - type: ndcg_at_3
-      value: 14.975
-    - type: ndcg_at_5
-      value: 16.273
-    - type: precision_at_1
-      value: 13.128
-    - type: precision_at_10
-      value: 3.3329999999999997
-    - type: precision_at_100
-      value: 0.683
-    - type: precision_at_1000
-      value: 0.116
-    - type: precision_at_20
-      value: 2.129
-    - type: precision_at_3
-      value: 7.154000000000001
-    - type: precision_at_5
-      value: 5.251
-    - type: recall_at_1
-      value: 10.152
-    - type: recall_at_10
-      value: 24.933
-    - type: recall_at_100
-      value: 45.584
-    - type: recall_at_1000
-      value: 70.7
-    - type: recall_at_20
-      value: 30.361
-    - type: recall_at_3
-      value: 16.570999999999998
-    - type: recall_at_5
-      value: 19.901
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack
-      name: MTEB CQADupstackRetrieval
-      config: default
-      split: test
-      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
-    metrics:
-    - type: map_at_1
-      value: 10.82375
-    - type: map_at_10
-      value: 15.058583333333331
-    - type: map_at_100
-      value: 15.841083333333335
-    - type: map_at_1000
-      value: 15.952749999999998
-    - type: map_at_20
-      value: 15.447583333333334
-    - type: map_at_3
-      value: 13.618000000000002
-    - type: map_at_5
-      value: 14.369499999999999
-    - type: mrr_at_1
-      value: 13.36475
-    - type: mrr_at_10
-      value: 17.77841666666667
-    - type: mrr_at_100
-      value: 18.528416666666665
-    - type: mrr_at_1000
-      value: 18.612583333333333
-    - type: mrr_at_20
-      value: 18.169416666666667
-    - type: mrr_at_3
-      value: 16.304166666666667
-    - type: mrr_at_5
-      value: 17.065166666666666
-    - type: ndcg_at_1
-      value: 13.36475
-    - type: ndcg_at_10
-      value: 18.002833333333335
-    - type: ndcg_at_100
-      value: 22.082583333333332
-    - type: ndcg_at_1000
-      value: 25.149166666666666
-    - type: ndcg_at_20
-      value: 19.33575
-    - type: ndcg_at_3
-      value: 15.334249999999999
-    - type: ndcg_at_5
-      value: 16.45558333333333
-    - type: precision_at_1
-      value: 13.36475
-    - type: precision_at_10
-      value: 3.2900000000000005
-    - type: precision_at_100
-      value: 0.6327499999999999
-    - type: precision_at_1000
-      value: 0.10600000000000001
-    - type: precision_at_20
-      value: 2.032666666666666
-    - type: precision_at_3
-      value: 7.209416666666667
-    - type: precision_at_5
-      value: 5.204416666666666
-    - type: recall_at_1
-      value: 10.82375
-    - type: recall_at_10
-      value: 24.346166666666665
-    - type: recall_at_100
-      value: 43.067916666666676
-    - type: recall_at_1000
-      value: 65.63275
-    - type: recall_at_20
-      value: 29.279916666666665
-    - type: recall_at_3
-      value: 16.74383333333333
-    - type: recall_at_5
-      value: 19.682583333333334
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-stats
-      name: MTEB CQADupstackStatsRetrieval
-      config: default
-      split: test
-      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
-    metrics:
-    - type: map_at_1
-      value: 8.212
-    - type: map_at_10
-      value: 11.457
-    - type: map_at_100
-      value: 12.033000000000001
-    - type: map_at_1000
-      value: 12.113999999999999
-    - type: map_at_20
-      value: 11.744
-    - type: map_at_3
-      value: 10.365
-    - type: map_at_5
-      value: 10.969
-    - type: mrr_at_1
-      value: 9.815999999999999
-    - type: mrr_at_10
-      value: 13.471
-    - type: mrr_at_100
-      value: 14.019
-    - type: mrr_at_1000
-      value: 14.097999999999999
-    - type: mrr_at_20
-      value: 13.745
-    - type: mrr_at_3
-      value: 12.449
-    - type: mrr_at_5
-      value: 12.97
-    - type: ndcg_at_1
-      value: 9.815999999999999
-    - type: ndcg_at_10
-      value: 13.724
-    - type: ndcg_at_100
-      value: 16.817
-    - type: ndcg_at_1000
-      value: 19.442
-    - type: ndcg_at_20
-      value: 14.725
-    - type: ndcg_at_3
-      value: 11.700000000000001
-    - type: ndcg_at_5
-      value: 12.598
-    - type: precision_at_1
-      value: 9.815999999999999
-    - type: precision_at_10
-      value: 2.393
-    - type: precision_at_100
-      value: 0.428
-    - type: precision_at_1000
-      value: 0.07100000000000001
-    - type: precision_at_20
-      value: 1.434
-    - type: precision_at_3
-      value: 5.624
-    - type: precision_at_5
-      value: 3.9570000000000003
-    - type: recall_at_1
-      value: 8.212
-    - type: recall_at_10
-      value: 18.87
-    - type: recall_at_100
-      value: 33.527
-    - type: recall_at_1000
-      value: 53.989
-    - type: recall_at_20
-      value: 22.631
-    - type: recall_at_3
-      value: 13.056000000000001
-    - type: recall_at_5
-      value: 15.425
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-tex
-      name: MTEB CQADupstackTexRetrieval
-      config: default
-      split: test
-      revision: 46989137a86843e03a6195de44b09deda022eec7
-    metrics:
-    - type: map_at_1
-      value: 5.359
-    - type: map_at_10
-      value: 7.7170000000000005
-    - type: map_at_100
-      value: 8.222
-    - type: map_at_1000
-      value: 8.312999999999999
-    - type: map_at_20
-      value: 7.961
-    - type: map_at_3
-      value: 6.969
-    - type: map_at_5
-      value: 7.3870000000000005
-    - type: mrr_at_1
-      value: 6.9510000000000005
-    - type: mrr_at_10
-      value: 9.697
-    - type: mrr_at_100
-      value: 10.26
-    - type: mrr_at_1000
-      value: 10.337
-    - type: mrr_at_20
-      value: 9.989
-    - type: mrr_at_3
-      value: 8.792
-    - type: mrr_at_5
-      value: 9.307
-    - type: ndcg_at_1
-      value: 6.9510000000000005
-    - type: ndcg_at_10
-      value: 9.472999999999999
-    - type: ndcg_at_100
-      value: 12.414
-    - type: ndcg_at_1000
-      value: 15.122
-    - type: ndcg_at_20
-      value: 10.366999999999999
-    - type: ndcg_at_3
-      value: 8.071
-    - type: ndcg_at_5
-      value: 8.717
-    - type: precision_at_1
-      value: 6.9510000000000005
-    - type: precision_at_10
-      value: 1.7930000000000001
-    - type: precision_at_100
-      value: 0.40099999999999997
-    - type: precision_at_1000
-      value: 0.077
-    - type: precision_at_20
-      value: 1.158
-    - type: precision_at_3
-      value: 3.923
-    - type: precision_at_5
-      value: 2.8770000000000002
-    - type: recall_at_1
-      value: 5.359
-    - type: recall_at_10
-      value: 12.992999999999999
-    - type: recall_at_100
-      value: 26.854
-    - type: recall_at_1000
-      value: 46.888999999999996
-    - type: recall_at_20
-      value: 16.287
-    - type: recall_at_3
-      value: 8.919
-    - type: recall_at_5
-      value: 10.684000000000001
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-unix
-      name: MTEB CQADupstackUnixRetrieval
-      config: default
-      split: test
-      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
-    metrics:
-    - type: map_at_1
-      value: 9.667
-    - type: map_at_10
-      value: 12.515
-    - type: map_at_100
-      value: 13.200000000000001
-    - type: map_at_1000
-      value: 13.311
-    - type: map_at_20
-      value: 12.837000000000002
-    - type: map_at_3
-      value: 11.298
-    - type: map_at_5
-      value: 11.937000000000001
-    - type: mrr_at_1
-      value: 11.567
-    - type: mrr_at_10
-      value: 14.940999999999999
-    - type: mrr_at_100
-      value: 15.661
-    - type: mrr_at_1000
-      value: 15.751999999999999
-    - type: mrr_at_20
-      value: 15.283
-    - type: mrr_at_3
-      value: 13.511000000000001
-    - type: mrr_at_5
-      value: 14.308000000000002
-    - type: ndcg_at_1
-      value: 11.567
-    - type: ndcg_at_10
-      value: 14.869
-    - type: ndcg_at_100
-      value: 18.709999999999997
-    - type: ndcg_at_1000
-      value: 21.826999999999998
-    - type: ndcg_at_20
-      value: 16.067
-    - type: ndcg_at_3
-      value: 12.428
-    - type: ndcg_at_5
-      value: 13.542000000000002
-    - type: precision_at_1
-      value: 11.567
-    - type: precision_at_10
-      value: 2.64
-    - type: precision_at_100
-      value: 0.507
-    - type: precision_at_1000
-      value: 0.08800000000000001
-    - type: precision_at_20
-      value: 1.609
-    - type: precision_at_3
-      value: 5.628
-    - type: precision_at_5
-      value: 4.216
-    - type: recall_at_1
-      value: 9.667
-    - type: recall_at_10
-      value: 19.677
-    - type: recall_at_100
-      value: 37.668
-    - type: recall_at_1000
-      value: 60.687000000000005
-    - type: recall_at_20
-      value: 24.236
-    - type: recall_at_3
-      value: 13.173000000000002
-    - type: recall_at_5
-      value: 15.808
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-webmasters
-      name: MTEB CQADupstackWebmastersRetrieval
-      config: default
-      split: test
-      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
-    metrics:
-    - type: map_at_1
-      value: 11.129999999999999
-    - type: map_at_10
-      value: 15.881
-    - type: map_at_100
-      value: 16.759
-    - type: map_at_1000
-      value: 16.903000000000002
-    - type: map_at_20
-      value: 16.284000000000002
-    - type: map_at_3
-      value: 14.23
-    - type: map_at_5
-      value: 15.035000000000002
-    - type: mrr_at_1
-      value: 14.229
-    - type: mrr_at_10
-      value: 19.028
-    - type: mrr_at_100
-      value: 19.811999999999998
-    - type: mrr_at_1000
-      value: 19.905
-    - type: mrr_at_20
-      value: 19.412
-    - type: mrr_at_3
-      value: 17.26
-    - type: mrr_at_5
-      value: 18.060000000000002
-    - type: ndcg_at_1
-      value: 14.229
-    - type: ndcg_at_10
-      value: 19.325
-    - type: ndcg_at_100
-      value: 23.817
-    - type: ndcg_at_1000
-      value: 27.407999999999998
-    - type: ndcg_at_20
-      value: 20.612
-    - type: ndcg_at_3
-      value: 16.248
-    - type: ndcg_at_5
-      value: 17.352
-    - type: precision_at_1
-      value: 14.229
-    - type: precision_at_10
-      value: 3.834
-    - type: precision_at_100
-      value: 0.822
-    - type: precision_at_1000
-      value: 0.158
-    - type: precision_at_20
-      value: 2.401
-    - type: precision_at_3
-      value: 7.707999999999999
-    - type: precision_at_5
-      value: 5.731
-    - type: recall_at_1
-      value: 11.129999999999999
-    - type: recall_at_10
-      value: 26.397
-    - type: recall_at_100
-      value: 47.616
-    - type: recall_at_1000
-      value: 73.15700000000001
-    - type: recall_at_20
-      value: 31.508999999999997
-    - type: recall_at_3
-      value: 17.368
-    - type: recall_at_5
-      value: 20.287
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/cqadupstack-wordpress
-      name: MTEB CQADupstackWordpressRetrieval
-      config: default
-      split: test
-      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
-    metrics:
-    - type: map_at_1
-      value: 6.5680000000000005
-    - type: map_at_10
-      value: 10.004
-    - type: map_at_100
-      value: 10.639999999999999
-    - type: map_at_1000
-      value: 10.717
-    - type: map_at_20
-      value: 10.259
-    - type: map_at_3
-      value: 8.984
-    - type: map_at_5
-      value: 9.613
-    - type: mrr_at_1
-      value: 7.579
-    - type: mrr_at_10
-      value: 11.360000000000001
-    - type: mrr_at_100
-      value: 12.024
-    - type: mrr_at_1000
-      value: 12.104
-    - type: mrr_at_20
-      value: 11.652999999999999
-    - type: mrr_at_3
-      value: 10.32
-    - type: mrr_at_5
-      value: 10.967
-    - type: ndcg_at_1
-      value: 7.579
-    - type: ndcg_at_10
-      value: 12.084
-    - type: ndcg_at_100
-      value: 15.68
-    - type: ndcg_at_1000
-      value: 18.139
-    - type: ndcg_at_20
-      value: 13.001999999999999
-    - type: ndcg_at_3
-      value: 10.096
-    - type: ndcg_at_5
-      value: 11.183
-    - type: precision_at_1
-      value: 7.579
-    - type: precision_at_10
-      value: 1.978
-    - type: precision_at_100
-      value: 0.40499999999999997
-    - type: precision_at_1000
-      value: 0.065
-    - type: precision_at_20
-      value: 1.201
-    - type: precision_at_3
-      value: 4.621
-    - type: precision_at_5
-      value: 3.327
-    - type: recall_at_1
-      value: 6.5680000000000005
-    - type: recall_at_10
-      value: 17.209
-    - type: recall_at_100
-      value: 34.412
-    - type: recall_at_1000
-      value: 53.827000000000005
-    - type: recall_at_20
-      value: 20.604
-    - type: recall_at_3
-      value: 11.935
-    - type: recall_at_5
-      value: 14.615
-  - task:
-      type: Retrieval
-    dataset:
-      type: mteb/climate-fever
-      name: MTEB ClimateFEVER
-      config: default
-      split: test
-      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
-    metrics:
-    - type: map_at_1
-      value: 3.466
-    - type: map_at_10
-      value: 6.311
-    - type: map_at_100
-      value: 7.385
-    - type: map_at_1000
-      value: 7.596
-    - type: map_at_20
-      value: 6.844
-    - type: map_at_3
-      value: 5.115
-    - type: map_at_5
-      value: 5.636
-    - type: mrr_at_1
-      value: 7.818
-    - type: mrr_at_10
-      value: 13.528
-    - type: mrr_at_100
-      value: 14.814
-    - type: mrr_at_1000
-      value: 14.902999999999999
-    - type: mrr_at_20
-      value: 14.283999999999999
-    - type: mrr_at_3
-      value: 11.249
-    - type: mrr_at_5
-      value: 12.307
-    - type: ndcg_at_1
-      value: 7.818
-    - type: ndcg_at_10
-      value: 9.936
-    - type: ndcg_at_100
-      value: 15.748000000000001
-    - type: ndcg_at_1000
-      value: 20.355
-    - type: ndcg_at_20
-      value: 11.927
-    - type: ndcg_at_3
-      value: 7.340000000000001
-    - type: ndcg_at_5
-      value: 8.089
-    - type: precision_at_1
-      value: 7.818
-    - type: precision_at_10
-      value: 3.3550000000000004
-    - type: precision_at_100
-      value: 0.9610000000000001
-    - type: precision_at_1000
-      value: 0.178
-    - type: precision_at_20
-      value: 2.511
-    - type: precision_at_3
-      value: 5.494000000000001
-    - type: precision_at_5
-      value: 4.417
-    - type: recall_at_1
-      value: 3.466
-    - type: recall_at_10
-      value: 13.292000000000002
-    - type: recall_at_100
-      value: 34.287
-    - type: recall_at_1000
-      value: 61.207
-    - type: recall_at_20
-      value: 19.014
-    - type: recall_at_3
-      value: 7.066
-    - type: recall_at_5
-      value: 9.028
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/emotion
-      name: MTEB EmotionClassification
-      config: default
-      split: test
-      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
-    metrics:
-    - type: accuracy
-      value: 45.21
-    - type: f1
-      value: 40.27450017657594
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/imdb
-      name: MTEB ImdbClassification
-      config: default
-      split: test
-      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
-    metrics:
-    - type: accuracy
-      value: 68.848
-    - type: ap
-      value: 63.2883584195492
-    - type: f1
-      value: 68.6836564154069
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/mtop_domain
-      name: MTEB MTOPDomainClassification (en)
-      config: en
-      split: test
-      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
-    metrics:
-    - type: accuracy
-      value: 85.37847697218423
-    - type: f1
-      value: 84.92640989123367
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/mtop_intent
-      name: MTEB MTOPIntentClassification (en)
-      config: en
-      split: test
-      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
-    metrics:
-    - type: accuracy
-      value: 64.50524395804834
-    - type: f1
-      value: 48.40917698378292
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/amazon_massive_intent
-      name: MTEB MassiveIntentClassification (en)
-      config: en
-      split: test
-      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
-    metrics:
-    - type: accuracy
-      value: 66.32145258910558
-    - type: f1
-      value: 64.84562142367274
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/amazon_massive_scenario
-      name: MTEB MassiveScenarioClassification (en)
-      config: en
-      split: test
-      revision: 7d571f92784cd94a019292a1f45445077d0ef634
-    metrics:
-    - type: accuracy
-      value: 70.6186953597848
-    - type: f1
-      value: 70.54134651579527
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/medrxiv-clustering-p2p
-      name: MTEB MedrxivClusteringP2P
-      config: default
-      split: test
-      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
-    metrics:
-    - type: v_measure
-      value: 27.349141993223746
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/medrxiv-clustering-s2s
-      name: MTEB MedrxivClusteringS2S
-      config: default
-      split: test
-      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
-    metrics:
-    - type: v_measure
-      value: 25.585510809207832
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/reddit-clustering
-      name: MTEB RedditClustering
-      config: default
-      split: test
-      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
-    metrics:
-    - type: v_measure
-      value: 40.32381150443673
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/reddit-clustering-p2p
-      name: MTEB RedditClusteringP2P
-      config: default
-      split: test
-      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
-    metrics:
-    - type: v_measure
-      value: 45.985786847845056
-  - task:
-      type: Reranking
-    dataset:
-      type: mteb/scidocs-reranking
-      name: MTEB SciDocsRR
-      config: default
-      split: test
-      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
-    metrics:
-    - type: map
-      value: 70.58830468830689
-    - type: mrr
-      value: 89.4269474171435
-  - task:
-      type: PairClassification
-    dataset:
-      type: mteb/sprintduplicatequestions-pairclassification
-      name: MTEB SprintDuplicateQuestions
-      config: default
-      split: test
-      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
-    metrics:
-    - type: cos_sim_accuracy
-      value: 99.56039603960396
-    - type: cos_sim_ap
-      value: 82.80827567304317
-    - type: cos_sim_f1
-      value: 76.10350076103501
-    - type: cos_sim_precision
-      value: 77.2399588053553
-    - type: cos_sim_recall
-      value: 75.0
-    - type: dot_accuracy
-      value: 99.31980198019802
-    - type: dot_ap
-      value: 63.62227490198173
-    - type: dot_f1
-      value: 60.08492569002123
-    - type: dot_precision
-      value: 64.02714932126696
-    - type: dot_recall
-      value: 56.599999999999994
-    - type: euclidean_accuracy
-      value: 99.58514851485148
-    - type: euclidean_ap
-      value: 84.43639703406805
-    - type: euclidean_f1
-      value: 77.52928647497338
-    - type: euclidean_precision
-      value: 82.91571753986332
-    - type: euclidean_recall
-      value: 72.8
-    - type: manhattan_accuracy
-      value: 99.58316831683169
-    - type: manhattan_ap
-      value: 84.30772142229371
-    - type: manhattan_f1
-      value: 77.64584408879712
-    - type: manhattan_precision
-      value: 80.25613660618997
-    - type: manhattan_recall
-      value: 75.2
-    - type: max_accuracy
-      value: 99.58514851485148
-    - type: max_ap
-      value: 84.43639703406805
-    - type: max_f1
-      value: 77.64584408879712
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/stackexchange-clustering
-      name: MTEB StackExchangeClustering
-      config: default
-      split: test
-      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
-    metrics:
-    - type: v_measure
-      value: 48.256973284963735
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/stackexchange-clustering-p2p
-      name: MTEB StackExchangeClusteringP2P
-      config: default
-      split: test
-      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
-    metrics:
-    - type: v_measure
-      value: 28.872051407552323
-  - task:
-      type: Reranking
-    dataset:
-      type: mteb/stackoverflowdupquestions-reranking
-      name: MTEB StackOverflowDupQuestions
-      config: default
-      split: test
-      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
-    metrics:
-    - type: map
-      value: 40.992315303011075
-    - type: mrr
-      value: 41.398027013835836
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/toxic_conversations_50k
-      name: MTEB ToxicConversationsClassification
-      config: default
-      split: test
-      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
-    metrics:
-    - type: accuracy
-      value: 67.0849609375
-    - type: ap
-      value: 11.788791268631641
-    - type: f1
-      value: 50.9803202223727
-  - task:
-      type: Classification
-    dataset:
-      type: mteb/tweet_sentiment_extraction
-      name: MTEB TweetSentimentExtractionClassification
-      config: default
-      split: test
-      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
-    metrics:
-    - type: accuracy
-      value: 57.57498585172609
-    - type: f1
-      value: 57.91311800407575
-  - task:
-      type: Clustering
-    dataset:
-      type: mteb/twentynewsgroups-clustering
-      name: MTEB TwentyNewsgroupsClustering
-      config: default
-      split: test
-      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
-    metrics:
-    - type: v_measure
-      value: 33.06505289570024
-  - task:
-      type: PairClassification
-    dataset:
-      type: mteb/twittersemeval2015-pairclassification
-      name: MTEB TwitterSemEval2015
-      config: default
-      split: test
-      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
-    metrics:
-    - type: cos_sim_accuracy
-      value: 83.71580139476664
-    - type: cos_sim_ap
-      value: 66.15526088864542
-    - type: cos_sim_f1
-      value: 62.3031151557578
-    - type: cos_sim_precision
-      value: 55.84605731018616
-    - type: cos_sim_recall
-      value: 70.44854881266491
-    - type: dot_accuracy
-      value: 81.99320498301246
-    - type: dot_ap
-      value: 59.10143958693731
-    - type: dot_f1
-      value: 59.58787878787878
-    - type: dot_precision
-      value: 55.11210762331839
-    - type: dot_recall
-      value: 64.85488126649076
-    - type: euclidean_accuracy
-      value: 83.59063002920665
-    - type: euclidean_ap
-      value: 65.63819065809086
-    - type: euclidean_f1
-      value: 61.41935483870967
-    - type: euclidean_precision
-      value: 55.29039070749736
-    - type: euclidean_recall
-      value: 69.07651715039577
-    - type: manhattan_accuracy
-      value: 83.6263932765095
-    - type: manhattan_ap
-      value: 65.69964834245273
-    - type: manhattan_f1
-      value: 61.52737752161382
-    - type: manhattan_precision
-      value: 56.45658880564125
-    - type: manhattan_recall
-      value: 67.59894459102902
-    - type: max_accuracy
-      value: 83.71580139476664
-    - type: max_ap
-      value: 66.15526088864542
-    - type: max_f1
-      value: 62.3031151557578
-  - task:
-      type: PairClassification
-    dataset:
-      type: mteb/twitterurlcorpus-pairclassification
-      name: MTEB TwitterURLCorpus
-      config: default
-      split: test
-      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
-    metrics:
-    - type: cos_sim_accuracy
-      value: 87.99821477083091
-    - type: cos_sim_ap
-      value: 84.27684726247264
-    - type: cos_sim_f1
-      value: 76.53120888758953
-    - type: cos_sim_precision
-      value: 72.83667223149693
-    - type: cos_sim_recall
-      value: 80.62057283646443
-    - type: dot_accuracy
-      value: 87.04738619164047
-    - type: dot_ap
-      value: 80.98829705864014
-    - type: dot_f1
-      value: 74.43375169234146
-    - type: dot_precision
-      value: 70.9225298096367
-    - type: dot_recall
-      value: 78.31074838312288
-    - type: euclidean_accuracy
-      value: 87.69744246516863
-    - type: euclidean_ap
-      value: 83.50528467088635
-    - type: euclidean_f1
-      value: 75.65629784532656
-    - type: euclidean_precision
-      value: 73.45370168950764
-    - type: euclidean_recall
-      value: 77.99507237449954
-    - type: manhattan_accuracy
-      value: 87.6916210657042
-    - type: manhattan_ap
-      value: 83.49074793688219
-    - type: manhattan_f1
-      value: 75.60462282612708
-    - type: manhattan_precision
-      value: 72.63568641362184
-    - type: manhattan_recall
-      value: 78.8266091777025
-    - type: max_accuracy
-      value: 87.99821477083091
-    - type: max_ap
-      value: 84.27684726247264
-    - type: max_f1
-      value: 76.53120888758953
----
+---
+tags:
+- mteb
+model-index:
+- name: .\results\technicolor\Angle_BERT
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 77.94029850746269
+    - type: ap
+      value: 41.462497073772475
+    - type: f1
+      value: 71.91276160766711
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 75.998675
+    - type: ap
+      value: 70.68601139811975
+    - type: f1
+      value: 75.80419607148225
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 37.184000000000005
+    - type: f1
+      value: 36.927927910871034
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 18.208
+    - type: map_at_10
+      value: 31.217
+    - type: map_at_100
+      value: 32.504
+    - type: map_at_1000
+      value: 32.543
+    - type: map_at_20
+      value: 32.048
+    - type: map_at_3
+      value: 26.790000000000003
+    - type: map_at_5
+      value: 29.176000000000002
+    - type: mrr_at_1
+      value: 18.990000000000002
+    - type: mrr_at_10
+      value: 31.539
+    - type: mrr_at_100
+      value: 32.818999999999996
+    - type: mrr_at_1000
+      value: 32.857
+    - type: mrr_at_20
+      value: 32.363
+    - type: mrr_at_3
+      value: 27.003
+    - type: mrr_at_5
+      value: 29.518
+    - type: ndcg_at_1
+      value: 18.208
+    - type: ndcg_at_10
+      value: 38.881
+    - type: ndcg_at_100
+      value: 44.931
+    - type: ndcg_at_1000
+      value: 45.864
+    - type: ndcg_at_20
+      value: 41.823
+    - type: ndcg_at_3
+      value: 29.675
+    - type: ndcg_at_5
+      value: 33.964
+    - type: precision_at_1
+      value: 18.208
+    - type: precision_at_10
+      value: 6.358
+    - type: precision_at_100
+      value: 0.914
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_20
+      value: 3.752
+    - type: precision_at_3
+      value: 12.684000000000001
+    - type: precision_at_5
+      value: 9.687
+    - type: recall_at_1
+      value: 18.208
+    - type: recall_at_10
+      value: 63.585
+    - type: recall_at_100
+      value: 91.39399999999999
+    - type: recall_at_1000
+      value: 98.506
+    - type: recall_at_20
+      value: 75.036
+    - type: recall_at_3
+      value: 38.051
+    - type: recall_at_5
+      value: 48.435
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 35.32543411547368
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 27.664108097727595
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 51.337125683605656
+    - type: mrr
+      value: 64.09422679505782
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.49675324675324
+    - type: f1
+      value: 75.43051473772864
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 30.952117397946154
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 24.80565572031388
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-android
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 18.148
+    - type: map_at_10
+      value: 23.986
+    - type: map_at_100
+      value: 25.028
+    - type: map_at_1000
+      value: 25.163999999999998
+    - type: map_at_20
+      value: 24.526
+    - type: map_at_3
+      value: 21.822
+    - type: map_at_5
+      value: 22.933
+    - type: mrr_at_1
+      value: 23.319000000000003
+    - type: mrr_at_10
+      value: 28.944
+    - type: mrr_at_100
+      value: 29.837999999999997
+    - type: mrr_at_1000
+      value: 29.914
+    - type: mrr_at_20
+      value: 29.441
+    - type: mrr_at_3
+      value: 26.943
+    - type: mrr_at_5
+      value: 27.944999999999997
+    - type: ndcg_at_1
+      value: 23.319000000000003
+    - type: ndcg_at_10
+      value: 28.249000000000002
+    - type: ndcg_at_100
+      value: 33.219
+    - type: ndcg_at_1000
+      value: 36.374
+    - type: ndcg_at_20
+      value: 29.933
+    - type: ndcg_at_3
+      value: 24.845
+    - type: ndcg_at_5
+      value: 26.14
+    - type: precision_at_1
+      value: 23.319000000000003
+    - type: precision_at_10
+      value: 5.351
+    - type: precision_at_100
+      value: 0.971
+    - type: precision_at_1000
+      value: 0.151
+    - type: precision_at_20
+      value: 3.2620000000000005
+    - type: precision_at_3
+      value: 11.922
+    - type: precision_at_5
+      value: 8.555
+    - type: recall_at_1
+      value: 18.148
+    - type: recall_at_10
+      value: 36.144999999999996
+    - type: recall_at_100
+      value: 58.204
+    - type: recall_at_1000
+      value: 79.828
+    - type: recall_at_20
+      value: 42.245
+    - type: recall_at_3
+      value: 25.701
+    - type: recall_at_5
+      value: 29.636000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-english
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 14.248
+    - type: map_at_10
+      value: 19.534000000000002
+    - type: map_at_100
+      value: 20.358
+    - type: map_at_1000
+      value: 20.464
+    - type: map_at_20
+      value: 19.965
+    - type: map_at_3
+      value: 17.881
+    - type: map_at_5
+      value: 18.773999999999997
+    - type: mrr_at_1
+      value: 18.025
+    - type: mrr_at_10
+      value: 23.265
+    - type: mrr_at_100
+      value: 24.054000000000002
+    - type: mrr_at_1000
+      value: 24.122
+    - type: mrr_at_20
+      value: 23.702
+    - type: mrr_at_3
+      value: 21.624
+    - type: mrr_at_5
+      value: 22.5
+    - type: ndcg_at_1
+      value: 18.025
+    - type: ndcg_at_10
+      value: 23.0
+    - type: ndcg_at_100
+      value: 27.016000000000002
+    - type: ndcg_at_1000
+      value: 29.751
+    - type: ndcg_at_20
+      value: 24.415
+    - type: ndcg_at_3
+      value: 20.222
+    - type: ndcg_at_5
+      value: 21.379
+    - type: precision_at_1
+      value: 18.025
+    - type: precision_at_10
+      value: 4.35
+    - type: precision_at_100
+      value: 0.796
+    - type: precision_at_1000
+      value: 0.127
+    - type: precision_at_20
+      value: 2.662
+    - type: precision_at_3
+      value: 9.809
+    - type: precision_at_5
+      value: 6.955
+    - type: recall_at_1
+      value: 14.248
+    - type: recall_at_10
+      value: 29.646
+    - type: recall_at_100
+      value: 47.527
+    - type: recall_at_1000
+      value: 66.468
+    - type: recall_at_20
+      value: 34.873
+    - type: recall_at_3
+      value: 21.366
+    - type: recall_at_5
+      value: 24.738
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gaming
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 19.834
+    - type: map_at_10
+      value: 27.569
+    - type: map_at_100
+      value: 28.601
+    - type: map_at_1000
+      value: 28.705000000000002
+    - type: map_at_20
+      value: 28.194000000000003
+    - type: map_at_3
+      value: 25.352999999999998
+    - type: map_at_5
+      value: 26.512
+    - type: mrr_at_1
+      value: 23.26
+    - type: mrr_at_10
+      value: 30.406
+    - type: mrr_at_100
+      value: 31.291000000000004
+    - type: mrr_at_1000
+      value: 31.371
+    - type: mrr_at_20
+      value: 30.941000000000003
+    - type: mrr_at_3
+      value: 28.485
+    - type: mrr_at_5
+      value: 29.444
+    - type: ndcg_at_1
+      value: 23.26
+    - type: ndcg_at_10
+      value: 31.959
+    - type: ndcg_at_100
+      value: 36.747
+    - type: ndcg_at_1000
+      value: 39.47
+    - type: ndcg_at_20
+      value: 33.992
+    - type: ndcg_at_3
+      value: 27.839999999999996
+    - type: ndcg_at_5
+      value: 29.593999999999998
+    - type: precision_at_1
+      value: 23.26
+    - type: precision_at_10
+      value: 5.436
+    - type: precision_at_100
+      value: 0.8500000000000001
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_20
+      value: 3.235
+    - type: precision_at_3
+      value: 12.684999999999999
+    - type: precision_at_5
+      value: 8.853
+    - type: recall_at_1
+      value: 19.834
+    - type: recall_at_10
+      value: 42.531
+    - type: recall_at_100
+      value: 63.963
+    - type: recall_at_1000
+      value: 84.174
+    - type: recall_at_20
+      value: 50.101
+    - type: recall_at_3
+      value: 31.179000000000002
+    - type: recall_at_5
+      value: 35.567
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-gis
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 9.263
+    - type: map_at_10
+      value: 12.104
+    - type: map_at_100
+      value: 12.736
+    - type: map_at_1000
+      value: 12.836
+    - type: map_at_20
+      value: 12.415
+    - type: map_at_3
+      value: 10.891
+    - type: map_at_5
+      value: 11.443
+    - type: mrr_at_1
+      value: 9.831
+    - type: mrr_at_10
+      value: 12.856000000000002
+    - type: mrr_at_100
+      value: 13.492
+    - type: mrr_at_1000
+      value: 13.587
+    - type: mrr_at_20
+      value: 13.178
+    - type: mrr_at_3
+      value: 11.62
+    - type: mrr_at_5
+      value: 12.218
+    - type: ndcg_at_1
+      value: 9.831
+    - type: ndcg_at_10
+      value: 14.224
+    - type: ndcg_at_100
+      value: 17.78
+    - type: ndcg_at_1000
+      value: 21.078
+    - type: ndcg_at_20
+      value: 15.329999999999998
+    - type: ndcg_at_3
+      value: 11.691
+    - type: ndcg_at_5
+      value: 12.692
+    - type: precision_at_1
+      value: 9.831
+    - type: precision_at_10
+      value: 2.26
+    - type: precision_at_100
+      value: 0.43299999999999994
+    - type: precision_at_1000
+      value: 0.077
+    - type: precision_at_20
+      value: 1.384
+    - type: precision_at_3
+      value: 4.7829999999999995
+    - type: precision_at_5
+      value: 3.458
+    - type: recall_at_1
+      value: 9.263
+    - type: recall_at_10
+      value: 20.293
+    - type: recall_at_100
+      value: 37.507000000000005
+    - type: recall_at_1000
+      value: 63.727000000000004
+    - type: recall_at_20
+      value: 24.424
+    - type: recall_at_3
+      value: 13.215
+    - type: recall_at_5
+      value: 15.661
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-mathematica
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 3.936
+    - type: map_at_10
+      value: 5.976
+    - type: map_at_100
+      value: 6.619999999999999
+    - type: map_at_1000
+      value: 6.737
+    - type: map_at_20
+      value: 6.271
+    - type: map_at_3
+      value: 5.179
+    - type: map_at_5
+      value: 5.5
+    - type: mrr_at_1
+      value: 5.348
+    - type: mrr_at_10
+      value: 7.954
+    - type: mrr_at_100
+      value: 8.683
+    - type: mrr_at_1000
+      value: 8.782
+    - type: mrr_at_20
+      value: 8.336
+    - type: mrr_at_3
+      value: 7.027
+    - type: mrr_at_5
+      value: 7.449999999999999
+    - type: ndcg_at_1
+      value: 5.348
+    - type: ndcg_at_10
+      value: 7.832999999999999
+    - type: ndcg_at_100
+      value: 11.567
+    - type: ndcg_at_1000
+      value: 15.213
+    - type: ndcg_at_20
+      value: 8.996
+    - type: ndcg_at_3
+      value: 6.164
+    - type: ndcg_at_5
+      value: 6.726
+    - type: precision_at_1
+      value: 5.348
+    - type: precision_at_10
+      value: 1.617
+    - type: precision_at_100
+      value: 0.42300000000000004
+    - type: precision_at_1000
+      value: 0.08800000000000001
+    - type: precision_at_20
+      value: 1.126
+    - type: precision_at_3
+      value: 3.1919999999999997
+    - type: precision_at_5
+      value: 2.363
+    - type: recall_at_1
+      value: 3.936
+    - type: recall_at_10
+      value: 11.711
+    - type: recall_at_100
+      value: 28.875
+    - type: recall_at_1000
+      value: 56.267
+    - type: recall_at_20
+      value: 15.989999999999998
+    - type: recall_at_3
+      value: 7.087000000000001
+    - type: recall_at_5
+      value: 8.436
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-physics
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 13.367999999999999
+    - type: map_at_10
+      value: 19.301
+    - type: map_at_100
+      value: 20.374
+    - type: map_at_1000
+      value: 20.516000000000002
+    - type: map_at_20
+      value: 19.828000000000003
+    - type: map_at_3
+      value: 17.345
+    - type: map_at_5
+      value: 18.39
+    - type: mrr_at_1
+      value: 17.324
+    - type: mrr_at_10
+      value: 23.383000000000003
+    - type: mrr_at_100
+      value: 24.296
+    - type: mrr_at_1000
+      value: 24.375
+    - type: mrr_at_20
+      value: 23.866
+    - type: mrr_at_3
+      value: 21.238
+    - type: mrr_at_5
+      value: 22.336
+    - type: ndcg_at_1
+      value: 17.324
+    - type: ndcg_at_10
+      value: 23.345
+    - type: ndcg_at_100
+      value: 28.645
+    - type: ndcg_at_1000
+      value: 31.902
+    - type: ndcg_at_20
+      value: 25.113999999999997
+    - type: ndcg_at_3
+      value: 19.731
+    - type: ndcg_at_5
+      value: 21.271
+    - type: precision_at_1
+      value: 17.324
+    - type: precision_at_10
+      value: 4.495
+    - type: precision_at_100
+      value: 0.874
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_20
+      value: 2.791
+    - type: precision_at_3
+      value: 9.464
+    - type: precision_at_5
+      value: 6.909999999999999
+    - type: recall_at_1
+      value: 13.367999999999999
+    - type: recall_at_10
+      value: 31.749
+    - type: recall_at_100
+      value: 55.078
+    - type: recall_at_1000
+      value: 77.88000000000001
+    - type: recall_at_20
+      value: 38.098
+    - type: recall_at_3
+      value: 21.356
+    - type: recall_at_5
+      value: 25.433
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-programmers
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 10.152
+    - type: map_at_10
+      value: 14.658999999999999
+    - type: map_at_100
+      value: 15.522
+    - type: map_at_1000
+      value: 15.653
+    - type: map_at_20
+      value: 15.087
+    - type: map_at_3
+      value: 13.099
+    - type: map_at_5
+      value: 13.941
+    - type: mrr_at_1
+      value: 13.128
+    - type: mrr_at_10
+      value: 18.035999999999998
+    - type: mrr_at_100
+      value: 18.911
+    - type: mrr_at_1000
+      value: 19.003999999999998
+    - type: mrr_at_20
+      value: 18.487000000000002
+    - type: mrr_at_3
+      value: 16.381
+    - type: mrr_at_5
+      value: 17.277
+    - type: ndcg_at_1
+      value: 13.128
+    - type: ndcg_at_10
+      value: 17.949
+    - type: ndcg_at_100
+      value: 22.579
+    - type: ndcg_at_1000
+      value: 26.064
+    - type: ndcg_at_20
+      value: 19.476
+    - type: ndcg_at_3
+      value: 14.975
+    - type: ndcg_at_5
+      value: 16.273
+    - type: precision_at_1
+      value: 13.128
+    - type: precision_at_10
+      value: 3.3329999999999997
+    - type: precision_at_100
+      value: 0.683
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_20
+      value: 2.129
+    - type: precision_at_3
+      value: 7.154000000000001
+    - type: precision_at_5
+      value: 5.251
+    - type: recall_at_1
+      value: 10.152
+    - type: recall_at_10
+      value: 24.933
+    - type: recall_at_100
+      value: 45.584
+    - type: recall_at_1000
+      value: 70.7
+    - type: recall_at_20
+      value: 30.361
+    - type: recall_at_3
+      value: 16.570999999999998
+    - type: recall_at_5
+      value: 19.901
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 10.82375
+    - type: map_at_10
+      value: 15.058583333333331
+    - type: map_at_100
+      value: 15.841083333333335
+    - type: map_at_1000
+      value: 15.952749999999998
+    - type: map_at_20
+      value: 15.447583333333334
+    - type: map_at_3
+      value: 13.618000000000002
+    - type: map_at_5
+      value: 14.369499999999999
+    - type: mrr_at_1
+      value: 13.36475
+    - type: mrr_at_10
+      value: 17.77841666666667
+    - type: mrr_at_100
+      value: 18.528416666666665
+    - type: mrr_at_1000
+      value: 18.612583333333333
+    - type: mrr_at_20
+      value: 18.169416666666667
+    - type: mrr_at_3
+      value: 16.304166666666667
+    - type: mrr_at_5
+      value: 17.065166666666666
+    - type: ndcg_at_1
+      value: 13.36475
+    - type: ndcg_at_10
+      value: 18.002833333333335
+    - type: ndcg_at_100
+      value: 22.082583333333332
+    - type: ndcg_at_1000
+      value: 25.149166666666666
+    - type: ndcg_at_20
+      value: 19.33575
+    - type: ndcg_at_3
+      value: 15.334249999999999
+    - type: ndcg_at_5
+      value: 16.45558333333333
+    - type: precision_at_1
+      value: 13.36475
+    - type: precision_at_10
+      value: 3.2900000000000005
+    - type: precision_at_100
+      value: 0.6327499999999999
+    - type: precision_at_1000
+      value: 0.10600000000000001
+    - type: precision_at_20
+      value: 2.032666666666666
+    - type: precision_at_3
+      value: 7.209416666666667
+    - type: precision_at_5
+      value: 5.204416666666666
+    - type: recall_at_1
+      value: 10.82375
+    - type: recall_at_10
+      value: 24.346166666666665
+    - type: recall_at_100
+      value: 43.067916666666676
+    - type: recall_at_1000
+      value: 65.63275
+    - type: recall_at_20
+      value: 29.279916666666665
+    - type: recall_at_3
+      value: 16.74383333333333
+    - type: recall_at_5
+      value: 19.682583333333334
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-stats
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 8.212
+    - type: map_at_10
+      value: 11.457
+    - type: map_at_100
+      value: 12.033000000000001
+    - type: map_at_1000
+      value: 12.113999999999999
+    - type: map_at_20
+      value: 11.744
+    - type: map_at_3
+      value: 10.365
+    - type: map_at_5
+      value: 10.969
+    - type: mrr_at_1
+      value: 9.815999999999999
+    - type: mrr_at_10
+      value: 13.471
+    - type: mrr_at_100
+      value: 14.019
+    - type: mrr_at_1000
+      value: 14.097999999999999
+    - type: mrr_at_20
+      value: 13.745
+    - type: mrr_at_3
+      value: 12.449
+    - type: mrr_at_5
+      value: 12.97
+    - type: ndcg_at_1
+      value: 9.815999999999999
+    - type: ndcg_at_10
+      value: 13.724
+    - type: ndcg_at_100
+      value: 16.817
+    - type: ndcg_at_1000
+      value: 19.442
+    - type: ndcg_at_20
+      value: 14.725
+    - type: ndcg_at_3
+      value: 11.700000000000001
+    - type: ndcg_at_5
+      value: 12.598
+    - type: precision_at_1
+      value: 9.815999999999999
+    - type: precision_at_10
+      value: 2.393
+    - type: precision_at_100
+      value: 0.428
+    - type: precision_at_1000
+      value: 0.07100000000000001
+    - type: precision_at_20
+      value: 1.434
+    - type: precision_at_3
+      value: 5.624
+    - type: precision_at_5
+      value: 3.9570000000000003
+    - type: recall_at_1
+      value: 8.212
+    - type: recall_at_10
+      value: 18.87
+    - type: recall_at_100
+      value: 33.527
+    - type: recall_at_1000
+      value: 53.989
+    - type: recall_at_20
+      value: 22.631
+    - type: recall_at_3
+      value: 13.056000000000001
+    - type: recall_at_5
+      value: 15.425
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-tex
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 5.359
+    - type: map_at_10
+      value: 7.7170000000000005
+    - type: map_at_100
+      value: 8.222
+    - type: map_at_1000
+      value: 8.312999999999999
+    - type: map_at_20
+      value: 7.961
+    - type: map_at_3
+      value: 6.969
+    - type: map_at_5
+      value: 7.3870000000000005
+    - type: mrr_at_1
+      value: 6.9510000000000005
+    - type: mrr_at_10
+      value: 9.697
+    - type: mrr_at_100
+      value: 10.26
+    - type: mrr_at_1000
+      value: 10.337
+    - type: mrr_at_20
+      value: 9.989
+    - type: mrr_at_3
+      value: 8.792
+    - type: mrr_at_5
+      value: 9.307
+    - type: ndcg_at_1
+      value: 6.9510000000000005
+    - type: ndcg_at_10
+      value: 9.472999999999999
+    - type: ndcg_at_100
+      value: 12.414
+    - type: ndcg_at_1000
+      value: 15.122
+    - type: ndcg_at_20
+      value: 10.366999999999999
+    - type: ndcg_at_3
+      value: 8.071
+    - type: ndcg_at_5
+      value: 8.717
+    - type: precision_at_1
+      value: 6.9510000000000005
+    - type: precision_at_10
+      value: 1.7930000000000001
+    - type: precision_at_100
+      value: 0.40099999999999997
+    - type: precision_at_1000
+      value: 0.077
+    - type: precision_at_20
+      value: 1.158
+    - type: precision_at_3
+      value: 3.923
+    - type: precision_at_5
+      value: 2.8770000000000002
+    - type: recall_at_1
+      value: 5.359
+    - type: recall_at_10
+      value: 12.992999999999999
+    - type: recall_at_100
+      value: 26.854
+    - type: recall_at_1000
+      value: 46.888999999999996
+    - type: recall_at_20
+      value: 16.287
+    - type: recall_at_3
+      value: 8.919
+    - type: recall_at_5
+      value: 10.684000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-unix
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 9.667
+    - type: map_at_10
+      value: 12.515
+    - type: map_at_100
+      value: 13.200000000000001
+    - type: map_at_1000
+      value: 13.311
+    - type: map_at_20
+      value: 12.837000000000002
+    - type: map_at_3
+      value: 11.298
+    - type: map_at_5
+      value: 11.937000000000001
+    - type: mrr_at_1
+      value: 11.567
+    - type: mrr_at_10
+      value: 14.940999999999999
+    - type: mrr_at_100
+      value: 15.661
+    - type: mrr_at_1000
+      value: 15.751999999999999
+    - type: mrr_at_20
+      value: 15.283
+    - type: mrr_at_3
+      value: 13.511000000000001
+    - type: mrr_at_5
+      value: 14.308000000000002
+    - type: ndcg_at_1
+      value: 11.567
+    - type: ndcg_at_10
+      value: 14.869
+    - type: ndcg_at_100
+      value: 18.709999999999997
+    - type: ndcg_at_1000
+      value: 21.826999999999998
+    - type: ndcg_at_20
+      value: 16.067
+    - type: ndcg_at_3
+      value: 12.428
+    - type: ndcg_at_5
+      value: 13.542000000000002
+    - type: precision_at_1
+      value: 11.567
+    - type: precision_at_10
+      value: 2.64
+    - type: precision_at_100
+      value: 0.507
+    - type: precision_at_1000
+      value: 0.08800000000000001
+    - type: precision_at_20
+      value: 1.609
+    - type: precision_at_3
+      value: 5.628
+    - type: precision_at_5
+      value: 4.216
+    - type: recall_at_1
+      value: 9.667
+    - type: recall_at_10
+      value: 19.677
+    - type: recall_at_100
+      value: 37.668
+    - type: recall_at_1000
+      value: 60.687000000000005
+    - type: recall_at_20
+      value: 24.236
+    - type: recall_at_3
+      value: 13.173000000000002
+    - type: recall_at_5
+      value: 15.808
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-webmasters
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 11.129999999999999
+    - type: map_at_10
+      value: 15.881
+    - type: map_at_100
+      value: 16.759
+    - type: map_at_1000
+      value: 16.903000000000002
+    - type: map_at_20
+      value: 16.284000000000002
+    - type: map_at_3
+      value: 14.23
+    - type: map_at_5
+      value: 15.035000000000002
+    - type: mrr_at_1
+      value: 14.229
+    - type: mrr_at_10
+      value: 19.028
+    - type: mrr_at_100
+      value: 19.811999999999998
+    - type: mrr_at_1000
+      value: 19.905
+    - type: mrr_at_20
+      value: 19.412
+    - type: mrr_at_3
+      value: 17.26
+    - type: mrr_at_5
+      value: 18.060000000000002
+    - type: ndcg_at_1
+      value: 14.229
+    - type: ndcg_at_10
+      value: 19.325
+    - type: ndcg_at_100
+      value: 23.817
+    - type: ndcg_at_1000
+      value: 27.407999999999998
+    - type: ndcg_at_20
+      value: 20.612
+    - type: ndcg_at_3
+      value: 16.248
+    - type: ndcg_at_5
+      value: 17.352
+    - type: precision_at_1
+      value: 14.229
+    - type: precision_at_10
+      value: 3.834
+    - type: precision_at_100
+      value: 0.822
+    - type: precision_at_1000
+      value: 0.158
+    - type: precision_at_20
+      value: 2.401
+    - type: precision_at_3
+      value: 7.707999999999999
+    - type: precision_at_5
+      value: 5.731
+    - type: recall_at_1
+      value: 11.129999999999999
+    - type: recall_at_10
+      value: 26.397
+    - type: recall_at_100
+      value: 47.616
+    - type: recall_at_1000
+      value: 73.15700000000001
+    - type: recall_at_20
+      value: 31.508999999999997
+    - type: recall_at_3
+      value: 17.368
+    - type: recall_at_5
+      value: 20.287
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack-wordpress
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 6.5680000000000005
+    - type: map_at_10
+      value: 10.004
+    - type: map_at_100
+      value: 10.639999999999999
+    - type: map_at_1000
+      value: 10.717
+    - type: map_at_20
+      value: 10.259
+    - type: map_at_3
+      value: 8.984
+    - type: map_at_5
+      value: 9.613
+    - type: mrr_at_1
+      value: 7.579
+    - type: mrr_at_10
+      value: 11.360000000000001
+    - type: mrr_at_100
+      value: 12.024
+    - type: mrr_at_1000
+      value: 12.104
+    - type: mrr_at_20
+      value: 11.652999999999999
+    - type: mrr_at_3
+      value: 10.32
+    - type: mrr_at_5
+      value: 10.967
+    - type: ndcg_at_1
+      value: 7.579
+    - type: ndcg_at_10
+      value: 12.084
+    - type: ndcg_at_100
+      value: 15.68
+    - type: ndcg_at_1000
+      value: 18.139
+    - type: ndcg_at_20
+      value: 13.001999999999999
+    - type: ndcg_at_3
+      value: 10.096
+    - type: ndcg_at_5
+      value: 11.183
+    - type: precision_at_1
+      value: 7.579
+    - type: precision_at_10
+      value: 1.978
+    - type: precision_at_100
+      value: 0.40499999999999997
+    - type: precision_at_1000
+      value: 0.065
+    - type: precision_at_20
+      value: 1.201
+    - type: precision_at_3
+      value: 4.621
+    - type: precision_at_5
+      value: 3.327
+    - type: recall_at_1
+      value: 6.5680000000000005
+    - type: recall_at_10
+      value: 17.209
+    - type: recall_at_100
+      value: 34.412
+    - type: recall_at_1000
+      value: 53.827000000000005
+    - type: recall_at_20
+      value: 20.604
+    - type: recall_at_3
+      value: 11.935
+    - type: recall_at_5
+      value: 14.615
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 3.466
+    - type: map_at_10
+      value: 6.311
+    - type: map_at_100
+      value: 7.385
+    - type: map_at_1000
+      value: 7.596
+    - type: map_at_20
+      value: 6.844
+    - type: map_at_3
+      value: 5.115
+    - type: map_at_5
+      value: 5.636
+    - type: mrr_at_1
+      value: 7.818
+    - type: mrr_at_10
+      value: 13.528
+    - type: mrr_at_100
+      value: 14.814
+    - type: mrr_at_1000
+      value: 14.902999999999999
+    - type: mrr_at_20
+      value: 14.283999999999999
+    - type: mrr_at_3
+      value: 11.249
+    - type: mrr_at_5
+      value: 12.307
+    - type: ndcg_at_1
+      value: 7.818
+    - type: ndcg_at_10
+      value: 9.936
+    - type: ndcg_at_100
+      value: 15.748000000000001
+    - type: ndcg_at_1000
+      value: 20.355
+    - type: ndcg_at_20
+      value: 11.927
+    - type: ndcg_at_3
+      value: 7.340000000000001
+    - type: ndcg_at_5
+      value: 8.089
+    - type: precision_at_1
+      value: 7.818
+    - type: precision_at_10
+      value: 3.3550000000000004
+    - type: precision_at_100
+      value: 0.9610000000000001
+    - type: precision_at_1000
+      value: 0.178
+    - type: precision_at_20
+      value: 2.511
+    - type: precision_at_3
+      value: 5.494000000000001
+    - type: precision_at_5
+      value: 4.417
+    - type: recall_at_1
+      value: 3.466
+    - type: recall_at_10
+      value: 13.292000000000002
+    - type: recall_at_100
+      value: 34.287
+    - type: recall_at_1000
+      value: 61.207
+    - type: recall_at_20
+      value: 19.014
+    - type: recall_at_3
+      value: 7.066
+    - type: recall_at_5
+      value: 9.028
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 45.21
+    - type: f1
+      value: 40.27450017657594
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 68.848
+    - type: ap
+      value: 63.2883584195492
+    - type: f1
+      value: 68.6836564154069
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 85.37847697218423
+    - type: f1
+      value: 84.92640989123367
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 64.50524395804834
+    - type: f1
+      value: 48.40917698378292
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 66.32145258910558
+    - type: f1
+      value: 64.84562142367274
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 70.6186953597848
+    - type: f1
+      value: 70.54134651579527
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 27.349141993223746
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 25.585510809207832
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 40.32381150443673
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+    metrics:
+    - type: v_measure
+      value: 45.985786847845056
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 70.58830468830689
+    - type: mrr
+      value: 89.4269474171435
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.56039603960396
+    - type: cos_sim_ap
+      value: 82.80827567304317
+    - type: cos_sim_f1
+      value: 76.10350076103501
+    - type: cos_sim_precision
+      value: 77.2399588053553
+    - type: cos_sim_recall
+      value: 75.0
+    - type: dot_accuracy
+      value: 99.31980198019802
+    - type: dot_ap
+      value: 63.62227490198173
+    - type: dot_f1
+      value: 60.08492569002123
+    - type: dot_precision
+      value: 64.02714932126696
+    - type: dot_recall
+      value: 56.599999999999994
+    - type: euclidean_accuracy
+      value: 99.58514851485148
+    - type: euclidean_ap
+      value: 84.43639703406805
+    - type: euclidean_f1
+      value: 77.52928647497338
+    - type: euclidean_precision
+      value: 82.91571753986332
+    - type: euclidean_recall
+      value: 72.8
+    - type: manhattan_accuracy
+      value: 99.58316831683169
+    - type: manhattan_ap
+      value: 84.30772142229371
+    - type: manhattan_f1
+      value: 77.64584408879712
+    - type: manhattan_precision
+      value: 80.25613660618997
+    - type: manhattan_recall
+      value: 75.2
+    - type: max_accuracy
+      value: 99.58514851485148
+    - type: max_ap
+      value: 84.43639703406805
+    - type: max_f1
+      value: 77.64584408879712
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 48.256973284963735
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 28.872051407552323
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 40.992315303011075
+    - type: mrr
+      value: 41.398027013835836
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+    metrics:
+    - type: accuracy
+      value: 67.0849609375
+    - type: ap
+      value: 11.788791268631641
+    - type: f1
+      value: 50.9803202223727
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 57.57498585172609
+    - type: f1
+      value: 57.91311800407575
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 33.06505289570024
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.71580139476664
+    - type: cos_sim_ap
+      value: 66.15526088864542
+    - type: cos_sim_f1
+      value: 62.3031151557578
+    - type: cos_sim_precision
+      value: 55.84605731018616
+    - type: cos_sim_recall
+      value: 70.44854881266491
+    - type: dot_accuracy
+      value: 81.99320498301246
+    - type: dot_ap
+      value: 59.10143958693731
+    - type: dot_f1
+      value: 59.58787878787878
+    - type: dot_precision
+      value: 55.11210762331839
+    - type: dot_recall
+      value: 64.85488126649076
+    - type: euclidean_accuracy
+      value: 83.59063002920665
+    - type: euclidean_ap
+      value: 65.63819065809086
+    - type: euclidean_f1
+      value: 61.41935483870967
+    - type: euclidean_precision
+      value: 55.29039070749736
+    - type: euclidean_recall
+      value: 69.07651715039577
+    - type: manhattan_accuracy
+      value: 83.6263932765095
+    - type: manhattan_ap
+      value: 65.69964834245273
+    - type: manhattan_f1
+      value: 61.52737752161382
+    - type: manhattan_precision
+      value: 56.45658880564125
+    - type: manhattan_recall
+      value: 67.59894459102902
+    - type: max_accuracy
+      value: 83.71580139476664
+    - type: max_ap
+      value: 66.15526088864542
+    - type: max_f1
+      value: 62.3031151557578
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.99821477083091
+    - type: cos_sim_ap
+      value: 84.27684726247264
+    - type: cos_sim_f1
+      value: 76.53120888758953
+    - type: cos_sim_precision
+      value: 72.83667223149693
+    - type: cos_sim_recall
+      value: 80.62057283646443
+    - type: dot_accuracy
+      value: 87.04738619164047
+    - type: dot_ap
+      value: 80.98829705864014
+    - type: dot_f1
+      value: 74.43375169234146
+    - type: dot_precision
+      value: 70.9225298096367
+    - type: dot_recall
+      value: 78.31074838312288
+    - type: euclidean_accuracy
+      value: 87.69744246516863
+    - type: euclidean_ap
+      value: 83.50528467088635
+    - type: euclidean_f1
+      value: 75.65629784532656
+    - type: euclidean_precision
+      value: 73.45370168950764
+    - type: euclidean_recall
+      value: 77.99507237449954
+    - type: manhattan_accuracy
+      value: 87.6916210657042
+    - type: manhattan_ap
+      value: 83.49074793688219
+    - type: manhattan_f1
+      value: 75.60462282612708
+    - type: manhattan_precision
+      value: 72.63568641362184
+    - type: manhattan_recall
+      value: 78.8266091777025
+    - type: max_accuracy
+      value: 87.99821477083091
+    - type: max_ap
+      value: 84.27684726247264
+    - type: max_f1
+      value: 76.53120888758953
+---
+
+Embedding model trained on [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) with the [AnglE-optimized Text Embeddings](https://arxiv.org/abs/2309.12871)