Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: gte-base-en-v1.5_embs_nofiltering_sortlenTrue_phrase2sent_15epoch_15epoch__adam0.001_accum1_best_epoch_3863037_bs128_result
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 72.71641791044777
+    - type: ap
+      value: 35.599140186230734
+    - type: f1
+      value: 66.72372354326045
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 72.7823
+    - type: ap
+      value: 66.88980427652794
+    - type: f1
+      value: 72.60105018624591
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 38.483999999999995
+    - type: f1
+      value: 37.867826932045745
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 21.195
+    - type: map_at_10
+      value: 35.876999999999995
+    - type: map_at_100
+      value: 37.147999999999996
+    - type: map_at_1000
+      value: 37.165
+    - type: map_at_3
+      value: 31.342
+    - type: map_at_5
+      value: 33.764
+    - type: mrr_at_1
+      value: 21.906
+    - type: mrr_at_10
+      value: 36.128
+    - type: mrr_at_100
+      value: 37.397999999999996
+    - type: mrr_at_1000
+      value: 37.416
+    - type: mrr_at_3
+      value: 31.555
+    - type: mrr_at_5
+      value: 34.001999999999995
+    - type: ndcg_at_1
+      value: 21.195
+    - type: ndcg_at_10
+      value: 44.207
+    - type: ndcg_at_100
+      value: 49.88
+    - type: ndcg_at_1000
+      value: 50.298
+    - type: ndcg_at_3
+      value: 34.755
+    - type: ndcg_at_5
+      value: 39.135
+    - type: precision_at_1
+      value: 21.195
+    - type: precision_at_10
+      value: 7.091
+    - type: precision_at_100
+      value: 0.963
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 14.889
+    - type: precision_at_5
+      value: 11.067
+    - type: recall_at_1
+      value: 21.195
+    - type: recall_at_10
+      value: 70.91
+    - type: recall_at_100
+      value: 96.30199999999999
+    - type: recall_at_1000
+      value: 99.502
+    - type: recall_at_3
+      value: 44.666
+    - type: recall_at_5
+      value: 55.334
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 38.289190023047105
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 28.15017802770073
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 54.677327183831046
+    - type: mrr
+      value: 68.2003253748406
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.79485923763309
+    - type: cos_sim_spearman
+      value: 79.71265968052003
+    - type: euclidean_pearson
+      value: 80.78575386279923
+    - type: euclidean_spearman
+      value: 79.71265968052003
+    - type: manhattan_pearson
+      value: 81.12300703450198
+    - type: manhattan_spearman
+      value: 81.23377867759768
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.04870129870129
+    - type: f1
+      value: 74.29090714638184
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.18202629628483
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 25.419352316577875
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 20.305
+    - type: map_at_10
+      value: 28.046
+    - type: map_at_100
+      value: 29.174
+    - type: map_at_1000
+      value: 29.326999999999998
+    - type: map_at_3
+      value: 25.464
+    - type: map_at_5
+      value: 26.874
+    - type: mrr_at_1
+      value: 26.179999999999996
+    - type: mrr_at_10
+      value: 34.0
+    - type: mrr_at_100
+      value: 34.797
+    - type: mrr_at_1000
+      value: 34.864
+    - type: mrr_at_3
+      value: 31.784000000000002
+    - type: mrr_at_5
+      value: 32.992
+    - type: ndcg_at_1
+      value: 26.179999999999996
+    - type: ndcg_at_10
+      value: 33.46
+    - type: ndcg_at_100
+      value: 38.539
+    - type: ndcg_at_1000
+      value: 41.619
+    - type: ndcg_at_3
+      value: 29.471000000000004
+    - type: ndcg_at_5
+      value: 31.169999999999998
+    - type: precision_at_1
+      value: 26.179999999999996
+    - type: precision_at_10
+      value: 6.680999999999999
+    - type: precision_at_100
+      value: 1.15
+    - type: precision_at_1000
+      value: 0.173
+    - type: precision_at_3
+      value: 14.591999999999999
+    - type: precision_at_5
+      value: 10.73
+    - type: recall_at_1
+      value: 20.305
+    - type: recall_at_10
+      value: 43.199
+    - type: recall_at_100
+      value: 66.46
+    - type: recall_at_1000
+      value: 87.469
+    - type: recall_at_3
+      value: 30.94
+    - type: recall_at_5
+      value: 35.927
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 18.265
+    - type: map_at_10
+      value: 24.661
+    - type: map_at_100
+      value: 25.739
+    - type: map_at_1000
+      value: 25.86
+    - type: map_at_3
+      value: 22.775000000000002
+    - type: map_at_5
+      value: 23.814
+    - type: mrr_at_1
+      value: 23.185
+    - type: mrr_at_10
+      value: 29.067
+    - type: mrr_at_100
+      value: 29.939
+    - type: mrr_at_1000
+      value: 30.007
+    - type: mrr_at_3
+      value: 27.197
+    - type: mrr_at_5
+      value: 28.248
+    - type: ndcg_at_1
+      value: 23.185
+    - type: ndcg_at_10
+      value: 28.638
+    - type: ndcg_at_100
+      value: 33.341
+    - type: ndcg_at_1000
+      value: 36.11
+    - type: ndcg_at_3
+      value: 25.599
+    - type: ndcg_at_5
+      value: 26.901999999999997
+    - type: precision_at_1
+      value: 23.185
+    - type: precision_at_10
+      value: 5.306
+    - type: precision_at_100
+      value: 0.959
+    - type: precision_at_1000
+      value: 0.145
+    - type: precision_at_3
+      value: 12.442
+    - type: precision_at_5
+      value: 8.764
+    - type: recall_at_1
+      value: 18.265
+    - type: recall_at_10
+      value: 36.055
+    - type: recall_at_100
+      value: 56.419
+    - type: recall_at_1000
+      value: 75.25500000000001
+    - type: recall_at_3
+      value: 26.906999999999996
+    - type: recall_at_5
+      value: 30.637999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 27.065
+    - type: map_at_10
+      value: 35.952
+    - type: map_at_100
+      value: 37.092999999999996
+    - type: map_at_1000
+      value: 37.19
+    - type: map_at_3
+      value: 33.410000000000004
+    - type: map_at_5
+      value: 34.743
+    - type: mrr_at_1
+      value: 31.223
+    - type: mrr_at_10
+      value: 39.174
+    - type: mrr_at_100
+      value: 40.091
+    - type: mrr_at_1000
+      value: 40.152
+    - type: mrr_at_3
+      value: 37.011
+    - type: mrr_at_5
+      value: 38.115
+    - type: ndcg_at_1
+      value: 31.223
+    - type: ndcg_at_10
+      value: 40.871
+    - type: ndcg_at_100
+      value: 46.068
+    - type: ndcg_at_1000
+      value: 48.295
+    - type: ndcg_at_3
+      value: 36.285000000000004
+    - type: ndcg_at_5
+      value: 38.25
+    - type: precision_at_1
+      value: 31.223
+    - type: precision_at_10
+      value: 6.639
+    - type: precision_at_100
+      value: 1.014
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_3
+      value: 16.092000000000002
+    - type: precision_at_5
+      value: 11.047
+    - type: recall_at_1
+      value: 27.065
+    - type: recall_at_10
+      value: 52.605000000000004
+    - type: recall_at_100
+      value: 75.653
+    - type: recall_at_1000
+      value: 91.724
+    - type: recall_at_3
+      value: 40.150999999999996
+    - type: recall_at_5
+      value: 44.979
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 12.692999999999998
+    - type: map_at_10
+      value: 17.427
+    - type: map_at_100
+      value: 18.235
+    - type: map_at_1000
+      value: 18.355
+    - type: map_at_3
+      value: 16.144
+    - type: map_at_5
+      value: 16.81
+    - type: mrr_at_1
+      value: 13.672
+    - type: mrr_at_10
+      value: 18.633
+    - type: mrr_at_100
+      value: 19.447
+    - type: mrr_at_1000
+      value: 19.554
+    - type: mrr_at_3
+      value: 17.401
+    - type: mrr_at_5
+      value: 17.983
+    - type: ndcg_at_1
+      value: 13.672
+    - type: ndcg_at_10
+      value: 20.212
+    - type: ndcg_at_100
+      value: 24.66
+    - type: ndcg_at_1000
+      value: 28.265
+    - type: ndcg_at_3
+      value: 17.625
+    - type: ndcg_at_5
+      value: 18.728
+    - type: precision_at_1
+      value: 13.672
+    - type: precision_at_10
+      value: 3.141
+    - type: precision_at_100
+      value: 0.569
+    - type: precision_at_1000
+      value: 0.093
+    - type: precision_at_3
+      value: 7.5329999999999995
+    - type: precision_at_5
+      value: 5.220000000000001
+    - type: recall_at_1
+      value: 12.692999999999998
+    - type: recall_at_10
+      value: 27.656
+    - type: recall_at_100
+      value: 48.927
+    - type: recall_at_1000
+      value: 77.113
+    - type: recall_at_3
+      value: 20.54
+    - type: recall_at_5
+      value: 23.177
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 7.814
+    - type: map_at_10
+      value: 11.472
+    - type: map_at_100
+      value: 12.283
+    - type: map_at_1000
+      value: 12.407
+    - type: map_at_3
+      value: 9.892
+    - type: map_at_5
+      value: 10.525
+    - type: mrr_at_1
+      value: 9.950000000000001
+    - type: mrr_at_10
+      value: 13.947999999999999
+    - type: mrr_at_100
+      value: 14.790000000000001
+    - type: mrr_at_1000
+      value: 14.893999999999998
+    - type: mrr_at_3
+      value: 12.189
+    - type: mrr_at_5
+      value: 12.91
+    - type: ndcg_at_1
+      value: 9.950000000000001
+    - type: ndcg_at_10
+      value: 14.481
+    - type: ndcg_at_100
+      value: 18.999
+    - type: ndcg_at_1000
+      value: 22.519
+    - type: ndcg_at_3
+      value: 11.212
+    - type: ndcg_at_5
+      value: 12.238
+    - type: precision_at_1
+      value: 9.950000000000001
+    - type: precision_at_10
+      value: 2.861
+    - type: precision_at_100
+      value: 0.607
+    - type: precision_at_1000
+      value: 0.104
+    - type: precision_at_3
+      value: 5.224
+    - type: precision_at_5
+      value: 3.856
+    - type: recall_at_1
+      value: 7.814
+    - type: recall_at_10
+      value: 21.507
+    - type: recall_at_100
+      value: 42.067
+    - type: recall_at_1000
+      value: 68.059
+    - type: recall_at_3
+      value: 12.489
+    - type: recall_at_5
+      value: 14.973
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 18.572
+    - type: map_at_10
+      value: 24.854000000000003
+    - type: map_at_100
+      value: 26.029000000000003
+    - type: map_at_1000
+      value: 26.177
+    - type: map_at_3
+      value: 22.417
+    - type: map_at_5
+      value: 23.612
+    - type: mrr_at_1
+      value: 22.907
+    - type: mrr_at_10
+      value: 29.643000000000004
+    - type: mrr_at_100
+      value: 30.499
+    - type: mrr_at_1000
+      value: 30.586999999999996
+    - type: mrr_at_3
+      value: 27.108999999999998
+    - type: mrr_at_5
+      value: 28.355999999999998
+    - type: ndcg_at_1
+      value: 22.907
+    - type: ndcg_at_10
+      value: 29.601
+    - type: ndcg_at_100
+      value: 35.11
+    - type: ndcg_at_1000
+      value: 38.433
+    - type: ndcg_at_3
+      value: 25.068
+    - type: ndcg_at_5
+      value: 26.828000000000003
+    - type: precision_at_1
+      value: 22.907
+    - type: precision_at_10
+      value: 5.525
+    - type: precision_at_100
+      value: 1.002
+    - type: precision_at_1000
+      value: 0.149
+    - type: precision_at_3
+      value: 11.389000000000001
+    - type: precision_at_5
+      value: 8.354000000000001
+    - type: recall_at_1
+      value: 18.572
+    - type: recall_at_10
+      value: 39.499
+    - type: recall_at_100
+      value: 63.46000000000001
+    - type: recall_at_1000
+      value: 86.52499999999999
+    - type: recall_at_3
+      value: 26.699
+    - type: recall_at_5
+      value: 31.175000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 14.918000000000001
+    - type: map_at_10
+      value: 20.223
+    - type: map_at_100
+      value: 21.429000000000002
+    - type: map_at_1000
+      value: 21.578
+    - type: map_at_3
+      value: 18.278
+    - type: map_at_5
+      value: 19.312
+    - type: mrr_at_1
+      value: 18.037
+    - type: mrr_at_10
+      value: 23.75
+    - type: mrr_at_100
+      value: 24.804000000000002
+    - type: mrr_at_1000
+      value: 24.898
+    - type: mrr_at_3
+      value: 21.842
+    - type: mrr_at_5
+      value: 22.755
+    - type: ndcg_at_1
+      value: 18.037
+    - type: ndcg_at_10
+      value: 23.907
+    - type: ndcg_at_100
+      value: 29.663
+    - type: ndcg_at_1000
+      value: 33.245000000000005
+    - type: ndcg_at_3
+      value: 20.379
+    - type: ndcg_at_5
+      value: 21.799
+    - type: precision_at_1
+      value: 18.037
+    - type: precision_at_10
+      value: 4.452
+    - type: precision_at_100
+      value: 0.881
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 9.513
+    - type: precision_at_5
+      value: 6.895
+    - type: recall_at_1
+      value: 14.918000000000001
+    - type: recall_at_10
+      value: 31.503999999999998
+    - type: recall_at_100
+      value: 56.354000000000006
+    - type: recall_at_1000
+      value: 81.774
+    - type: recall_at_3
+      value: 21.819
+    - type: recall_at_5
+      value: 25.459
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 14.668083333333332
+    - type: map_at_10
+      value: 20.24666666666667
+    - type: map_at_100
+      value: 21.21025
+    - type: map_at_1000
+      value: 21.340666666666664
+    - type: map_at_3
+      value: 18.417083333333334
+    - type: map_at_5
+      value: 19.366833333333332
+    - type: mrr_at_1
+      value: 17.777833333333334
+    - type: mrr_at_10
+      value: 23.403333333333336
+    - type: mrr_at_100
+      value: 24.25408333333333
+    - type: mrr_at_1000
+      value: 24.34333333333333
+    - type: mrr_at_3
+      value: 21.6155
+    - type: mrr_at_5
+      value: 22.521
+    - type: ndcg_at_1
+      value: 17.777833333333334
+    - type: ndcg_at_10
+      value: 23.933500000000002
+    - type: ndcg_at_100
+      value: 28.714749999999995
+    - type: ndcg_at_1000
+      value: 31.968833333333336
+    - type: ndcg_at_3
+      value: 20.60758333333333
+    - type: ndcg_at_5
+      value: 21.982416666666666
+    - type: precision_at_1
+      value: 17.777833333333334
+    - type: precision_at_10
+      value: 4.3180000000000005
+    - type: precision_at_100
+      value: 0.8045833333333333
+    - type: precision_at_1000
+      value: 0.12691666666666668
+    - type: precision_at_3
+      value: 9.535000000000002
+    - type: precision_at_5
+      value: 6.825916666666666
+    - type: recall_at_1
+      value: 14.668083333333332
+    - type: recall_at_10
+      value: 31.930916666666665
+    - type: recall_at_100
+      value: 53.753249999999994
+    - type: recall_at_1000
+      value: 77.43366666666667
+    - type: recall_at_3
+      value: 22.524250000000002
+    - type: recall_at_5
+      value: 26.094916666666666
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 10.096
+    - type: map_at_10
+      value: 15.190999999999999
+    - type: map_at_100
+      value: 15.922
+    - type: map_at_1000
+      value: 16.017
+    - type: map_at_3
+      value: 13.664000000000001
+    - type: map_at_5
+      value: 14.446
+    - type: mrr_at_1
+      value: 12.117
+    - type: mrr_at_10
+      value: 17.294
+    - type: mrr_at_100
+      value: 18.074
+    - type: mrr_at_1000
+      value: 18.153
+    - type: mrr_at_3
+      value: 15.823
+    - type: mrr_at_5
+      value: 16.59
+    - type: ndcg_at_1
+      value: 12.117
+    - type: ndcg_at_10
+      value: 18.248
+    - type: ndcg_at_100
+      value: 22.418
+    - type: ndcg_at_1000
+      value: 25.271
+    - type: ndcg_at_3
+      value: 15.368
+    - type: ndcg_at_5
+      value: 16.614
+    - type: precision_at_1
+      value: 12.117
+    - type: precision_at_10
+      value: 3.206
+    - type: precision_at_100
+      value: 0.583
+    - type: precision_at_1000
+      value: 0.09
+    - type: precision_at_3
+      value: 7.106
+    - type: precision_at_5
+      value: 5.061
+    - type: recall_at_1
+      value: 10.096
+    - type: recall_at_10
+      value: 25.624000000000002
+    - type: recall_at_100
+      value: 45.49
+    - type: recall_at_1000
+      value: 67.392
+    - type: recall_at_3
+      value: 17.68
+    - type: recall_at_5
+      value: 20.823
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 7.7780000000000005
+    - type: map_at_10
+      value: 11.493
+    - type: map_at_100
+      value: 12.200999999999999
+    - type: map_at_1000
+      value: 12.324
+    - type: map_at_3
+      value: 10.244
+    - type: map_at_5
+      value: 10.899000000000001
+    - type: mrr_at_1
+      value: 9.876
+    - type: mrr_at_10
+      value: 14.001
+    - type: mrr_at_100
+      value: 14.701
+    - type: mrr_at_1000
+      value: 14.799999999999999
+    - type: mrr_at_3
+      value: 12.583
+    - type: mrr_at_5
+      value: 13.325000000000001
+    - type: ndcg_at_1
+      value: 9.876
+    - type: ndcg_at_10
+      value: 14.158000000000001
+    - type: ndcg_at_100
+      value: 18.038999999999998
+    - type: ndcg_at_1000
+      value: 21.58
+    - type: ndcg_at_3
+      value: 11.722000000000001
+    - type: ndcg_at_5
+      value: 12.769
+    - type: precision_at_1
+      value: 9.876
+    - type: precision_at_10
+      value: 2.705
+    - type: precision_at_100
+      value: 0.555
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 5.666
+    - type: precision_at_5
+      value: 4.178
+    - type: recall_at_1
+      value: 7.7780000000000005
+    - type: recall_at_10
+      value: 19.86
+    - type: recall_at_100
+      value: 38.0
+    - type: recall_at_1000
+      value: 64.331
+    - type: recall_at_3
+      value: 13.117999999999999
+    - type: recall_at_5
+      value: 15.783
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 13.088
+    - type: map_at_10
+      value: 17.759
+    - type: map_at_100
+      value: 18.597
+    - type: map_at_1000
+      value: 18.718
+    - type: map_at_3
+      value: 16.232
+    - type: map_at_5
+      value: 17.129
+    - type: mrr_at_1
+      value: 15.672
+    - type: mrr_at_10
+      value: 20.676
+    - type: mrr_at_100
+      value: 21.505
+    - type: mrr_at_1000
+      value: 21.605
+    - type: mrr_at_3
+      value: 18.999
+    - type: mrr_at_5
+      value: 19.932
+    - type: ndcg_at_1
+      value: 15.672
+    - type: ndcg_at_10
+      value: 21.035
+    - type: ndcg_at_100
+      value: 25.52
+    - type: ndcg_at_1000
+      value: 28.875
+    - type: ndcg_at_3
+      value: 18.015
+    - type: ndcg_at_5
+      value: 19.476
+    - type: precision_at_1
+      value: 15.672
+    - type: precision_at_10
+      value: 3.535
+    - type: precision_at_100
+      value: 0.652
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 8.24
+    - type: precision_at_5
+      value: 5.821
+    - type: recall_at_1
+      value: 13.088
+    - type: recall_at_10
+      value: 28.414
+    - type: recall_at_100
+      value: 48.949999999999996
+    - type: recall_at_1000
+      value: 73.67399999999999
+    - type: recall_at_3
+      value: 19.893
+    - type: recall_at_5
+      value: 23.718
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 13.433
+    - type: map_at_10
+      value: 19.926
+    - type: map_at_100
+      value: 21.11
+    - type: map_at_1000
+      value: 21.302
+    - type: map_at_3
+      value: 17.991
+    - type: map_at_5
+      value: 19.078999999999997
+    - type: mrr_at_1
+      value: 17.391000000000002
+    - type: mrr_at_10
+      value: 23.433999999999997
+    - type: mrr_at_100
+      value: 24.41
+    - type: mrr_at_1000
+      value: 24.501
+    - type: mrr_at_3
+      value: 21.706
+    - type: mrr_at_5
+      value: 22.684
+    - type: ndcg_at_1
+      value: 17.391000000000002
+    - type: ndcg_at_10
+      value: 24.11
+    - type: ndcg_at_100
+      value: 29.500999999999998
+    - type: ndcg_at_1000
+      value: 33.093
+    - type: ndcg_at_3
+      value: 21.037
+    - type: ndcg_at_5
+      value: 22.439
+    - type: precision_at_1
+      value: 17.391000000000002
+    - type: precision_at_10
+      value: 4.881
+    - type: precision_at_100
+      value: 1.138
+    - type: precision_at_1000
+      value: 0.2
+    - type: precision_at_3
+      value: 10.277
+    - type: precision_at_5
+      value: 7.549
+    - type: recall_at_1
+      value: 13.433
+    - type: recall_at_10
+      value: 32.029
+    - type: recall_at_100
+      value: 57.727
+    - type: recall_at_1000
+      value: 82.536
+    - type: recall_at_3
+      value: 22.914
+    - type: recall_at_5
+      value: 26.844
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 11.99
+    - type: map_at_10
+      value: 15.956000000000001
+    - type: map_at_100
+      value: 16.711000000000002
+    - type: map_at_1000
+      value: 16.833000000000002
+    - type: map_at_3
+      value: 14.494000000000002
+    - type: map_at_5
+      value: 15.159
+    - type: mrr_at_1
+      value: 13.123999999999999
+    - type: mrr_at_10
+      value: 17.22
+    - type: mrr_at_100
+      value: 17.992
+    - type: mrr_at_1000
+      value: 18.105
+    - type: mrr_at_3
+      value: 15.742
+    - type: mrr_at_5
+      value: 16.362
+    - type: ndcg_at_1
+      value: 13.123999999999999
+    - type: ndcg_at_10
+      value: 18.481
+    - type: ndcg_at_100
+      value: 22.719
+    - type: ndcg_at_1000
+      value: 26.321
+    - type: ndcg_at_3
+      value: 15.509999999999998
+    - type: ndcg_at_5
+      value: 16.576
+    - type: precision_at_1
+      value: 13.123999999999999
+    - type: precision_at_10
+      value: 2.884
+    - type: precision_at_100
+      value: 0.545
+    - type: precision_at_1000
+      value: 0.094
+    - type: precision_at_3
+      value: 6.346
+    - type: precision_at_5
+      value: 4.436
+    - type: recall_at_1
+      value: 11.99
+    - type: recall_at_10
+      value: 25.219
+    - type: recall_at_100
+      value: 45.532000000000004
+    - type: recall_at_1000
+      value: 73.35199999999999
+    - type: recall_at_3
+      value: 17.141000000000002
+    - type: recall_at_5
+      value: 19.643
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 7.6240000000000006
+    - type: map_at_10
+      value: 13.211999999999998
+    - type: map_at_100
+      value: 14.82
+    - type: map_at_1000
+      value: 15.039
+    - type: map_at_3
+      value: 10.793999999999999
+    - type: map_at_5
+      value: 12.035
+    - type: mrr_at_1
+      value: 17.459
+    - type: mrr_at_10
+      value: 26.590000000000003
+    - type: mrr_at_100
+      value: 27.792
+    - type: mrr_at_1000
+      value: 27.851
+    - type: mrr_at_3
+      value: 23.268
+    - type: mrr_at_5
+      value: 25.192999999999998
+    - type: ndcg_at_1
+      value: 17.459
+    - type: ndcg_at_10
+      value: 19.606
+    - type: ndcg_at_100
+      value: 26.87
+    - type: ndcg_at_1000
+      value: 31.080000000000002
+    - type: ndcg_at_3
+      value: 15.190000000000001
+    - type: ndcg_at_5
+      value: 16.85
+    - type: precision_at_1
+      value: 17.459
+    - type: precision_at_10
+      value: 6.45
+    - type: precision_at_100
+      value: 1.421
+    - type: precision_at_1000
+      value: 0.219
+    - type: precision_at_3
+      value: 11.488
+    - type: precision_at_5
+      value: 9.316
+    - type: recall_at_1
+      value: 7.6240000000000006
+    - type: recall_at_10
+      value: 24.593
+    - type: recall_at_100
+      value: 50.300999999999995
+    - type: recall_at_1000
+      value: 74.439
+    - type: recall_at_3
+      value: 14.097000000000001
+    - type: recall_at_5
+      value: 18.362000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 4.456
+    - type: map_at_10
+      value: 9.995
+    - type: map_at_100
+      value: 14.196
+    - type: map_at_1000
+      value: 15.284
+    - type: map_at_3
+      value: 7.02
+    - type: map_at_5
+      value: 8.341
+    - type: mrr_at_1
+      value: 43.25
+    - type: mrr_at_10
+      value: 52.626
+    - type: mrr_at_100
+      value: 53.361000000000004
+    - type: mrr_at_1000
+      value: 53.396
+    - type: mrr_at_3
+      value: 50.208
+    - type: mrr_at_5
+      value: 51.696
+    - type: ndcg_at_1
+      value: 31.75
+    - type: ndcg_at_10
+      value: 24.557000000000002
+    - type: ndcg_at_100
+      value: 28.179
+    - type: ndcg_at_1000
+      value: 35.42
+    - type: ndcg_at_3
+      value: 27.05
+    - type: ndcg_at_5
+      value: 25.938
+    - type: precision_at_1
+      value: 43.25
+    - type: precision_at_10
+      value: 21.95
+    - type: precision_at_100
+      value: 7.21
+    - type: precision_at_1000
+      value: 1.5310000000000001
+    - type: precision_at_3
+      value: 32.25
+    - type: precision_at_5
+      value: 28.050000000000004
+    - type: recall_at_1
+      value: 4.456
+    - type: recall_at_10
+      value: 14.808
+    - type: recall_at_100
+      value: 35.062
+    - type: recall_at_1000
+      value: 60.111000000000004
+    - type: recall_at_3
+      value: 8.333
+    - type: recall_at_5
+      value: 10.847999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 48.275
+    - type: f1
+      value: 44.11697299626323
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 16.512
+    - type: map_at_10
+      value: 25.102000000000004
+    - type: map_at_100
+      value: 26.14
+    - type: map_at_1000
+      value: 26.212000000000003
+    - type: map_at_3
+      value: 22.531000000000002
+    - type: map_at_5
+      value: 23.959
+    - type: mrr_at_1
+      value: 17.642
+    - type: mrr_at_10
+      value: 26.665
+    - type: mrr_at_100
+      value: 27.700000000000003
+    - type: mrr_at_1000
+      value: 27.762999999999998
+    - type: mrr_at_3
+      value: 24.03
+    - type: mrr_at_5
+      value: 25.501
+    - type: ndcg_at_1
+      value: 17.642
+    - type: ndcg_at_10
+      value: 30.162
+    - type: ndcg_at_100
+      value: 35.393
+    - type: ndcg_at_1000
+      value: 37.370999999999995
+    - type: ndcg_at_3
+      value: 24.878
+    - type: ndcg_at_5
+      value: 27.426000000000002
+    - type: precision_at_1
+      value: 17.642
+    - type: precision_at_10
+      value: 4.845
+    - type: precision_at_100
+      value: 0.765
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 10.876
+    - type: precision_at_5
+      value: 7.864
+    - type: recall_at_1
+      value: 16.512
+    - type: recall_at_10
+      value: 44.528
+    - type: recall_at_100
+      value: 68.794
+    - type: recall_at_1000
+      value: 84.055
+    - type: recall_at_3
+      value: 30.151
+    - type: recall_at_5
+      value: 36.244
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 6.548
+    - type: map_at_10
+      value: 11.365
+    - type: map_at_100
+      value: 12.659
+    - type: map_at_1000
+      value: 12.870999999999999
+    - type: map_at_3
+      value: 9.238
+    - type: map_at_5
+      value: 10.295
+    - type: mrr_at_1
+      value: 13.735
+    - type: mrr_at_10
+      value: 19.666
+    - type: mrr_at_100
+      value: 20.848
+    - type: mrr_at_1000
+      value: 20.951
+    - type: mrr_at_3
+      value: 17.335
+    - type: mrr_at_5
+      value: 18.616
+    - type: ndcg_at_1
+      value: 13.735
+    - type: ndcg_at_10
+      value: 15.923000000000002
+    - type: ndcg_at_100
+      value: 22.23
+    - type: ndcg_at_1000
+      value: 26.893
+    - type: ndcg_at_3
+      value: 12.756
+    - type: ndcg_at_5
+      value: 13.883999999999999
+    - type: precision_at_1
+      value: 13.735
+    - type: precision_at_10
+      value: 4.7379999999999995
+    - type: precision_at_100
+      value: 1.086
+    - type: precision_at_1000
+      value: 0.19
+    - type: precision_at_3
+      value: 8.436
+    - type: precision_at_5
+      value: 6.7589999999999995
+    - type: recall_at_1
+      value: 6.548
+    - type: recall_at_10
+      value: 21.267
+    - type: recall_at_100
+      value: 46.07
+    - type: recall_at_1000
+      value: 74.868
+    - type: recall_at_3
+      value: 11.611
+    - type: recall_at_5
+      value: 15.284
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 17.387
+    - type: map_at_10
+      value: 24.564
+    - type: map_at_100
+      value: 25.503999999999998
+    - type: map_at_1000
+      value: 25.619999999999997
+    - type: map_at_3
+      value: 22.496
+    - type: map_at_5
+      value: 23.646
+    - type: mrr_at_1
+      value: 34.774
+    - type: mrr_at_10
+      value: 41.935
+    - type: mrr_at_100
+      value: 42.679
+    - type: mrr_at_1000
+      value: 42.737
+    - type: mrr_at_3
+      value: 39.883
+    - type: mrr_at_5
+      value: 41.063
+    - type: ndcg_at_1
+      value: 34.774
+    - type: ndcg_at_10
+      value: 31.456
+    - type: ndcg_at_100
+      value: 35.827
+    - type: ndcg_at_1000
+      value: 38.627
+    - type: ndcg_at_3
+      value: 27.534999999999997
+    - type: ndcg_at_5
+      value: 29.452
+    - type: precision_at_1
+      value: 34.774
+    - type: precision_at_10
+      value: 6.97
+    - type: precision_at_100
+      value: 1.048
+    - type: precision_at_1000
+      value: 0.14200000000000002
+    - type: precision_at_3
+      value: 17.349
+    - type: precision_at_5
+      value: 11.924
+    - type: recall_at_1
+      value: 17.387
+    - type: recall_at_10
+      value: 34.848
+    - type: recall_at_100
+      value: 52.384
+    - type: recall_at_1000
+      value: 71.134
+    - type: recall_at_3
+      value: 26.023000000000003
+    - type: recall_at_5
+      value: 29.811
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 69.98119999999999
+    - type: ap
+      value: 64.17725086855937
+    - type: f1
+      value: 69.78928359055172
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 6.372999999999999
+    - type: map_at_10
+      value: 11.145
+    - type: map_at_100
+      value: 12.055
+    - type: map_at_1000
+      value: 12.17
+    - type: map_at_3
+      value: 9.391
+    - type: map_at_5
+      value: 10.270999999999999
+    - type: mrr_at_1
+      value: 6.561999999999999
+    - type: mrr_at_10
+      value: 11.446000000000002
+    - type: mrr_at_100
+      value: 12.359
+    - type: mrr_at_1000
+      value: 12.47
+    - type: mrr_at_3
+      value: 9.654
+    - type: mrr_at_5
+      value: 10.566
+    - type: ndcg_at_1
+      value: 6.5329999999999995
+    - type: ndcg_at_10
+      value: 14.174000000000001
+    - type: ndcg_at_100
+      value: 19.168
+    - type: ndcg_at_1000
+      value: 22.579
+    - type: ndcg_at_3
+      value: 10.465
+    - type: ndcg_at_5
+      value: 12.057
+    - type: precision_at_1
+      value: 6.5329999999999995
+    - type: precision_at_10
+      value: 2.451
+    - type: precision_at_100
+      value: 0.506
+    - type: precision_at_1000
+      value: 0.08
+    - type: precision_at_3
+      value: 4.58
+    - type: precision_at_5
+      value: 3.553
+    - type: recall_at_1
+      value: 6.372999999999999
+    - type: recall_at_10
+      value: 23.639
+    - type: recall_at_100
+      value: 48.012
+    - type: recall_at_1000
+      value: 75.368
+    - type: recall_at_3
+      value: 13.333
+    - type: recall_at_5
+      value: 17.147000000000002
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 91.3953488372093
+    - type: f1
+      value: 90.47618297254341
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 61.249430004559954
+    - type: f1
+      value: 42.242289025471344
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 65.15131136516476
+    - type: f1
+      value: 62.8508450491576
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 71.9670477471419
+    - type: f1
+      value: 70.83719077833712
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.27049656570754
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 27.8992311215977
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.216583547389536
+    - type: mrr
+      value: 32.31147129597184
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 4.651000000000001
+    - type: map_at_10
+      value: 8.924999999999999
+    - type: map_at_100
+      value: 11.43
+    - type: map_at_1000
+      value: 12.879999999999999
+    - type: map_at_3
+      value: 6.718
+    - type: map_at_5
+      value: 7.727
+    - type: mrr_at_1
+      value: 37.461
+    - type: mrr_at_10
+      value: 46.018
+    - type: mrr_at_100
+      value: 46.649
+    - type: mrr_at_1000
+      value: 46.713
+    - type: mrr_at_3
+      value: 43.55
+    - type: mrr_at_5
+      value: 44.928000000000004
+    - type: ndcg_at_1
+      value: 36.378
+    - type: ndcg_at_10
+      value: 27.193
+    - type: ndcg_at_100
+      value: 25.840000000000003
+    - type: ndcg_at_1000
+      value: 35.382999999999996
+    - type: ndcg_at_3
+      value: 31.054
+    - type: ndcg_at_5
+      value: 29.523
+    - type: precision_at_1
+      value: 37.461
+    - type: precision_at_10
+      value: 19.875999999999998
+    - type: precision_at_100
+      value: 7.198
+    - type: precision_at_1000
+      value: 2.069
+    - type: precision_at_3
+      value: 28.38
+    - type: precision_at_5
+      value: 25.386999999999997
+    - type: recall_at_1
+      value: 4.651000000000001
+    - type: recall_at_10
+      value: 13.517999999999999
+    - type: recall_at_100
+      value: 28.475
+    - type: recall_at_1000
+      value: 61.861999999999995
+    - type: recall_at_3
+      value: 7.657
+    - type: recall_at_5
+      value: 9.76
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 9.456000000000001
+    - type: map_at_10
+      value: 16.392
+    - type: map_at_100
+      value: 17.730999999999998
+    - type: map_at_1000
+      value: 17.835
+    - type: map_at_3
+      value: 13.743
+    - type: map_at_5
+      value: 15.262999999999998
+    - type: mrr_at_1
+      value: 10.776
+    - type: mrr_at_10
+      value: 18.163999999999998
+    - type: mrr_at_100
+      value: 19.403000000000002
+    - type: mrr_at_1000
+      value: 19.489
+    - type: mrr_at_3
+      value: 15.464
+    - type: mrr_at_5
+      value: 17.035
+    - type: ndcg_at_1
+      value: 10.776
+    - type: ndcg_at_10
+      value: 20.959
+    - type: ndcg_at_100
+      value: 27.589000000000002
+    - type: ndcg_at_1000
+      value: 30.416999999999998
+    - type: ndcg_at_3
+      value: 15.552
+    - type: ndcg_at_5
+      value: 18.275
+    - type: precision_at_1
+      value: 10.776
+    - type: precision_at_10
+      value: 3.94
+    - type: precision_at_100
+      value: 0.763
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 7.396999999999999
+    - type: precision_at_5
+      value: 5.933
+    - type: recall_at_1
+      value: 9.456000000000001
+    - type: recall_at_10
+      value: 33.394
+    - type: recall_at_100
+      value: 63.915
+    - type: recall_at_1000
+      value: 85.598
+    - type: recall_at_3
+      value: 19.098000000000003
+    - type: recall_at_5
+      value: 25.466
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 64.744
+    - type: map_at_10
+      value: 77.86
+    - type: map_at_100
+      value: 78.58800000000001
+    - type: map_at_1000
+      value: 78.617
+    - type: map_at_3
+      value: 74.788
+    - type: map_at_5
+      value: 76.716
+    - type: mrr_at_1
+      value: 74.49
+    - type: mrr_at_10
+      value: 81.843
+    - type: mrr_at_100
+      value: 82.035
+    - type: mrr_at_1000
+      value: 82.038
+    - type: mrr_at_3
+      value: 80.39
+    - type: mrr_at_5
+      value: 81.372
+    - type: ndcg_at_1
+      value: 74.59
+    - type: ndcg_at_10
+      value: 82.459
+    - type: ndcg_at_100
+      value: 84.34899999999999
+    - type: ndcg_at_1000
+      value: 84.626
+    - type: ndcg_at_3
+      value: 78.821
+    - type: ndcg_at_5
+      value: 80.83500000000001
+    - type: precision_at_1
+      value: 74.59
+    - type: precision_at_10
+      value: 12.494
+    - type: precision_at_100
+      value: 1.477
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 34.233000000000004
+    - type: precision_at_5
+      value: 22.747999999999998
+    - type: recall_at_1
+      value: 64.744
+    - type: recall_at_10
+      value: 91.355
+    - type: recall_at_100
+      value: 98.30799999999999
+    - type: recall_at_1000
+      value: 99.766
+    - type: recall_at_3
+      value: 81.109
+    - type: recall_at_5
+      value: 86.572
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 46.254882422464526
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 50.94989318333412
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.868
+    - type: map_at_10
+      value: 7.155
+    - type: map_at_100
+      value: 8.651
+    - type: map_at_1000
+      value: 8.921
+    - type: map_at_3
+      value: 5.197
+    - type: map_at_5
+      value: 6.168
+    - type: mrr_at_1
+      value: 14.099999999999998
+    - type: mrr_at_10
+      value: 22.528000000000002
+    - type: mrr_at_100
+      value: 23.730999999999998
+    - type: mrr_at_1000
+      value: 23.827
+    - type: mrr_at_3
+      value: 19.683
+    - type: mrr_at_5
+      value: 21.233
+    - type: ndcg_at_1
+      value: 14.099999999999998
+    - type: ndcg_at_10
+      value: 12.756
+    - type: ndcg_at_100
+      value: 19.49
+    - type: ndcg_at_1000
+      value: 24.942
+    - type: ndcg_at_3
+      value: 11.905000000000001
+    - type: ndcg_at_5
+      value: 10.474
+    - type: precision_at_1
+      value: 14.099999999999998
+    - type: precision_at_10
+      value: 6.7299999999999995
+    - type: precision_at_100
+      value: 1.657
+    - type: precision_at_1000
+      value: 0.297
+    - type: precision_at_3
+      value: 11.200000000000001
+    - type: precision_at_5
+      value: 9.3
+    - type: recall_at_1
+      value: 2.868
+    - type: recall_at_10
+      value: 13.613
+    - type: recall_at_100
+      value: 33.645
+    - type: recall_at_1000
+      value: 60.372
+    - type: recall_at_3
+      value: 6.808
+    - type: recall_at_5
+      value: 9.418
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.98965504956827
+    - type: cos_sim_spearman
+      value: 68.28460263921258
+    - type: euclidean_pearson
+      value: 73.50270698016448
+    - type: euclidean_spearman
+      value: 68.28468403646217
+    - type: manhattan_pearson
+      value: 72.8261914195885
+    - type: manhattan_spearman
+      value: 67.86873546122553
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.14830947681742
+    - type: cos_sim_spearman
+      value: 68.60266030636393
+    - type: euclidean_pearson
+      value: 72.88451477994006
+    - type: euclidean_spearman
+      value: 68.60389167221209
+    - type: manhattan_pearson
+      value: 71.89880964464528
+    - type: manhattan_spearman
+      value: 68.11051648970675
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.72037928360238
+    - type: cos_sim_spearman
+      value: 79.74389537608737
+    - type: euclidean_pearson
+      value: 79.39980926218213
+    - type: euclidean_spearman
+      value: 79.74393317465844
+    - type: manhattan_pearson
+      value: 78.7481714360194
+    - type: manhattan_spearman
+      value: 79.05784658583435
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.20839429694983
+    - type: cos_sim_spearman
+      value: 75.75758249233702
+    - type: euclidean_pearson
+      value: 78.2593144118954
+    - type: euclidean_spearman
+      value: 75.7575727998599
+    - type: manhattan_pearson
+      value: 77.98797449902915
+    - type: manhattan_spearman
+      value: 75.58570762607603
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.38797626966284
+    - type: cos_sim_spearman
+      value: 83.0821006142509
+    - type: euclidean_pearson
+      value: 82.89995084283936
+    - type: euclidean_spearman
+      value: 83.08209908184749
+    - type: manhattan_pearson
+      value: 82.6019409098804
+    - type: manhattan_spearman
+      value: 82.76534947735776
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.80219740466768
+    - type: cos_sim_spearman
+      value: 79.07336247296158
+    - type: euclidean_pearson
+      value: 78.34175159212086
+    - type: euclidean_spearman
+      value: 79.07335507859334
+    - type: manhattan_pearson
+      value: 78.146156004842
+    - type: manhattan_spearman
+      value: 78.85783029933849
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 84.74773705987958
+    - type: cos_sim_spearman
+      value: 85.73402749289298
+    - type: euclidean_pearson
+      value: 85.18510280404286
+    - type: euclidean_spearman
+      value: 85.73490066116952
+    - type: manhattan_pearson
+      value: 84.93638596678905
+    - type: manhattan_spearman
+      value: 85.5315548466084
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 59.17015437324628
+    - type: cos_sim_spearman
+      value: 59.75467857816752
+    - type: euclidean_pearson
+      value: 60.812443155269534
+    - type: euclidean_spearman
+      value: 59.75467857816752
+    - type: manhattan_pearson
+      value: 59.950493146979255
+    - type: manhattan_spearman
+      value: 58.932105528273645
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.46948132600193
+    - type: cos_sim_spearman
+      value: 79.10069645170242
+    - type: euclidean_pearson
+      value: 80.31463403998292
+    - type: euclidean_spearman
+      value: 79.10071491600597
+    - type: manhattan_pearson
+      value: 80.01917165738134
+    - type: manhattan_spearman
+      value: 78.86150076844012
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 74.0368453616957
+    - type: mrr
+      value: 91.42105987694224
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 37.083
+    - type: map_at_10
+      value: 45.626
+    - type: map_at_100
+      value: 46.741
+    - type: map_at_1000
+      value: 46.796
+    - type: map_at_3
+      value: 43.397999999999996
+    - type: map_at_5
+      value: 44.098
+    - type: mrr_at_1
+      value: 39.333
+    - type: mrr_at_10
+      value: 47.424
+    - type: mrr_at_100
+      value: 48.365
+    - type: mrr_at_1000
+      value: 48.413000000000004
+    - type: mrr_at_3
+      value: 45.444
+    - type: mrr_at_5
+      value: 46.011
+    - type: ndcg_at_1
+      value: 39.333
+    - type: ndcg_at_10
+      value: 50.324999999999996
+    - type: ndcg_at_100
+      value: 55.74400000000001
+    - type: ndcg_at_1000
+      value: 57.092
+    - type: ndcg_at_3
+      value: 45.805
+    - type: ndcg_at_5
+      value: 46.826
+    - type: precision_at_1
+      value: 39.333
+    - type: precision_at_10
+      value: 6.9
+    - type: precision_at_100
+      value: 0.993
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 18.111
+    - type: precision_at_5
+      value: 11.466999999999999
+    - type: recall_at_1
+      value: 37.083
+    - type: recall_at_10
+      value: 63.444
+    - type: recall_at_100
+      value: 88.617
+    - type: recall_at_1000
+      value: 98.867
+    - type: recall_at_3
+      value: 50.556
+    - type: recall_at_5
+      value: 53.056000000000004
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.66039603960397
+    - type: cos_sim_ap
+      value: 89.16346887114837
+    - type: cos_sim_f1
+      value: 83.18072289156628
+    - type: cos_sim_precision
+      value: 80.27906976744185
+    - type: cos_sim_recall
+      value: 86.3
+    - type: dot_accuracy
+      value: 99.66039603960397
+    - type: dot_ap
+      value: 89.16346887114837
+    - type: dot_f1
+      value: 83.18072289156628
+    - type: dot_precision
+      value: 80.27906976744185
+    - type: dot_recall
+      value: 86.3
+    - type: euclidean_accuracy
+      value: 99.66039603960397
+    - type: euclidean_ap
+      value: 89.16346887114837
+    - type: euclidean_f1
+      value: 83.18072289156628
+    - type: euclidean_precision
+      value: 80.27906976744185
+    - type: euclidean_recall
+      value: 86.3
+    - type: manhattan_accuracy
+      value: 99.66930693069307
+    - type: manhattan_ap
+      value: 89.13276894140405
+    - type: manhattan_f1
+      value: 83.46534653465346
+    - type: manhattan_precision
+      value: 82.6470588235294
+    - type: manhattan_recall
+      value: 84.3
+    - type: max_accuracy
+      value: 99.66930693069307
+    - type: max_ap
+      value: 89.16346887114837
+    - type: max_f1
+      value: 83.46534653465346
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 49.394155025012324
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 30.32321222461949
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 43.523517787741575
+    - type: mrr
+      value: 44.07447638146168
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.28542082978425
+    - type: cos_sim_spearman
+      value: 30.039804865964005
+    - type: dot_pearson
+      value: 31.28542082880828
+    - type: dot_spearman
+      value: 30.051397798547818
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.157
+    - type: map_at_10
+      value: 0.989
+    - type: map_at_100
+      value: 5.3580000000000005
+    - type: map_at_1000
+      value: 13.614999999999998
+    - type: map_at_3
+      value: 0.391
+    - type: map_at_5
+      value: 0.557
+    - type: mrr_at_1
+      value: 57.99999999999999
+    - type: mrr_at_10
+      value: 69.039
+    - type: mrr_at_100
+      value: 69.618
+    - type: mrr_at_1000
+      value: 69.618
+    - type: mrr_at_3
+      value: 67.667
+    - type: mrr_at_5
+      value: 68.56700000000001
+    - type: ndcg_at_1
+      value: 55.00000000000001
+    - type: ndcg_at_10
+      value: 48.394
+    - type: ndcg_at_100
+      value: 37.158
+    - type: ndcg_at_1000
+      value: 34.204
+    - type: ndcg_at_3
+      value: 53.754000000000005
+    - type: ndcg_at_5
+      value: 50.712999999999994
+    - type: precision_at_1
+      value: 57.99999999999999
+    - type: precision_at_10
+      value: 51.800000000000004
+    - type: precision_at_100
+      value: 39.26
+    - type: precision_at_1000
+      value: 16.503999999999998
+    - type: precision_at_3
+      value: 57.333
+    - type: precision_at_5
+      value: 52.800000000000004
+    - type: recall_at_1
+      value: 0.157
+    - type: recall_at_10
+      value: 1.238
+    - type: recall_at_100
+      value: 8.674
+    - type: recall_at_1000
+      value: 33.222
+    - type: recall_at_3
+      value: 0.436
+    - type: recall_at_5
+      value: 0.643
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 1.385
+    - type: map_at_10
+      value: 7.414
+    - type: map_at_100
+      value: 13.084999999999999
+    - type: map_at_1000
+      value: 14.765
+    - type: map_at_3
+      value: 3.5909999999999997
+    - type: map_at_5
+      value: 5.402
+    - type: mrr_at_1
+      value: 20.408
+    - type: mrr_at_10
+      value: 37.669000000000004
+    - type: mrr_at_100
+      value: 38.823
+    - type: mrr_at_1000
+      value: 38.823
+    - type: mrr_at_3
+      value: 33.672999999999995
+    - type: mrr_at_5
+      value: 35.612
+    - type: ndcg_at_1
+      value: 19.387999999999998
+    - type: ndcg_at_10
+      value: 19.288
+    - type: ndcg_at_100
+      value: 33.376
+    - type: ndcg_at_1000
+      value: 45.28
+    - type: ndcg_at_3
+      value: 20.511
+    - type: ndcg_at_5
+      value: 21.182000000000002
+    - type: precision_at_1
+      value: 20.408
+    - type: precision_at_10
+      value: 18.776
+    - type: precision_at_100
+      value: 8.061
+    - type: precision_at_1000
+      value: 1.5779999999999998
+    - type: precision_at_3
+      value: 23.810000000000002
+    - type: precision_at_5
+      value: 23.673
+    - type: recall_at_1
+      value: 1.385
+    - type: recall_at_10
+      value: 13.113
+    - type: recall_at_100
+      value: 48.345
+    - type: recall_at_1000
+      value: 85.087
+    - type: recall_at_3
+      value: 4.932
+    - type: recall_at_5
+      value: 8.4
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 79.2658
+    - type: ap
+      value: 19.45051650328674
+    - type: f1
+      value: 61.721255030714005
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 60.19524617996604
+    - type: f1
+      value: 60.47726202926952
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 42.20230019842334
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.32240567443525
+    - type: cos_sim_ap
+      value: 63.95052535841297
+    - type: cos_sim_f1
+      value: 60.78094302554028
+    - type: cos_sim_precision
+      value: 56.844281120808446
+    - type: cos_sim_recall
+      value: 65.30343007915567
+    - type: dot_accuracy
+      value: 83.32240567443525
+    - type: dot_ap
+      value: 63.95052535841297
+    - type: dot_f1
+      value: 60.78094302554028
+    - type: dot_precision
+      value: 56.844281120808446
+    - type: dot_recall
+      value: 65.30343007915567
+    - type: euclidean_accuracy
+      value: 83.32240567443525
+    - type: euclidean_ap
+      value: 63.95052535841297
+    - type: euclidean_f1
+      value: 60.78094302554028
+    - type: euclidean_precision
+      value: 56.844281120808446
+    - type: euclidean_recall
+      value: 65.30343007915567
+    - type: manhattan_accuracy
+      value: 83.30452405078381
+    - type: manhattan_ap
+      value: 63.82521079916541
+    - type: manhattan_f1
+      value: 60.567750833237554
+    - type: manhattan_precision
+      value: 53.65506006923234
+    - type: manhattan_recall
+      value: 69.52506596306068
+    - type: max_accuracy
+      value: 83.32240567443525
+    - type: max_ap
+      value: 63.95052535841297
+    - type: max_f1
+      value: 60.78094302554028
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.51309814879497
+    - type: cos_sim_ap
+      value: 83.04143677647984
+    - type: cos_sim_f1
+      value: 75.14412661109682
+    - type: cos_sim_precision
+      value: 71.82871182871183
+    - type: cos_sim_recall
+      value: 78.78041268863566
+    - type: dot_accuracy
+      value: 87.51309814879497
+    - type: dot_ap
+      value: 83.0414382592019
+    - type: dot_f1
+      value: 75.14412661109682
+    - type: dot_precision
+      value: 71.82871182871183
+    - type: dot_recall
+      value: 78.78041268863566
+    - type: euclidean_accuracy
+      value: 87.51309814879497
+    - type: euclidean_ap
+      value: 83.04144849399968
+    - type: euclidean_f1
+      value: 75.14412661109682
+    - type: euclidean_precision
+      value: 71.82871182871183
+    - type: euclidean_recall
+      value: 78.78041268863566
+    - type: manhattan_accuracy
+      value: 87.50921721581868
+    - type: manhattan_ap
+      value: 82.97187030449552
+    - type: manhattan_f1
+      value: 74.93584260051325
+    - type: manhattan_precision
+      value: 72.48003453485863
+    - type: manhattan_recall
+      value: 77.56390514320911
+    - type: max_accuracy
+      value: 87.51309814879497
+    - type: max_ap
+      value: 83.04144849399968
+    - type: max_f1
+      value: 75.14412661109682
+---