Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: nomic_classification_noPCA
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 69.5223880597015
+    - type: ap
+      value: 32.188029961997856
+    - type: f1
+      value: 63.507035721662255
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 69.82842500000001
+    - type: ap
+      value: 65.05751252754372
+    - type: f1
+      value: 69.20990625365141
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 36.588
+    - type: f1
+      value: 35.418251249983605
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 14.793999999999999
+    - type: map_at_10
+      value: 25.576999999999998
+    - type: map_at_100
+      value: 26.693
+    - type: map_at_1000
+      value: 26.756
+    - type: map_at_3
+      value: 22.451
+    - type: map_at_5
+      value: 24.093999999999998
+    - type: mrr_at_1
+      value: 15.22
+    - type: mrr_at_10
+      value: 25.743
+    - type: mrr_at_100
+      value: 26.86
+    - type: mrr_at_1000
+      value: 26.922
+    - type: mrr_at_3
+      value: 22.582
+    - type: mrr_at_5
+      value: 24.275
+    - type: ndcg_at_1
+      value: 14.793999999999999
+    - type: ndcg_at_10
+      value: 31.554
+    - type: ndcg_at_100
+      value: 37.367
+    - type: ndcg_at_1000
+      value: 39.156
+    - type: ndcg_at_3
+      value: 25.044
+    - type: ndcg_at_5
+      value: 28.019
+    - type: precision_at_1
+      value: 14.793999999999999
+    - type: precision_at_10
+      value: 5.064
+    - type: precision_at_100
+      value: 0.787
+    - type: precision_at_1000
+      value: 0.093
+    - type: precision_at_3
+      value: 10.857999999999999
+    - type: precision_at_5
+      value: 7.965999999999999
+    - type: recall_at_1
+      value: 14.793999999999999
+    - type: recall_at_10
+      value: 50.63999999999999
+    - type: recall_at_100
+      value: 78.73400000000001
+    - type: recall_at_1000
+      value: 93.172
+    - type: recall_at_3
+      value: 32.574999999999996
+    - type: recall_at_5
+      value: 39.829
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 30.971489779907653
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 21.568018798597137
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 49.98416553839047
+    - type: mrr
+      value: 64.6418678274634
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 49.466850107369204
+    - type: cos_sim_spearman
+      value: 57.07419204044854
+    - type: euclidean_pearson
+      value: 52.9281249064291
+    - type: euclidean_spearman
+      value: 57.07419204044854
+    - type: manhattan_pearson
+      value: 53.02817511738712
+    - type: manhattan_spearman
+      value: 57.26395540047999
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 62.948051948051955
+    - type: f1
+      value: 61.58649884446328
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 29.961219232394214
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 20.82397852889056
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 19.189999999999998
+    - type: map_at_10
+      value: 25.446999999999996
+    - type: map_at_100
+      value: 26.392
+    - type: map_at_1000
+      value: 26.548
+    - type: map_at_3
+      value: 23.368
+    - type: map_at_5
+      value: 24.65
+    - type: mrr_at_1
+      value: 24.464
+    - type: mrr_at_10
+      value: 30.43
+    - type: mrr_at_100
+      value: 31.217
+    - type: mrr_at_1000
+      value: 31.313999999999997
+    - type: mrr_at_3
+      value: 28.732000000000003
+    - type: mrr_at_5
+      value: 29.797
+    - type: ndcg_at_1
+      value: 24.464
+    - type: ndcg_at_10
+      value: 29.677
+    - type: ndcg_at_100
+      value: 34.116
+    - type: ndcg_at_1000
+      value: 37.489
+    - type: ndcg_at_3
+      value: 26.755000000000003
+    - type: ndcg_at_5
+      value: 28.249999999999996
+    - type: precision_at_1
+      value: 24.464
+    - type: precision_at_10
+      value: 5.5649999999999995
+    - type: precision_at_100
+      value: 0.979
+    - type: precision_at_1000
+      value: 0.152
+    - type: precision_at_3
+      value: 12.876000000000001
+    - type: precision_at_5
+      value: 9.442
+    - type: recall_at_1
+      value: 19.189999999999998
+    - type: recall_at_10
+      value: 37.124
+    - type: recall_at_100
+      value: 56.796
+    - type: recall_at_1000
+      value: 79.963
+    - type: recall_at_3
+      value: 27.982000000000003
+    - type: recall_at_5
+      value: 32.289
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 14.969
+    - type: map_at_10
+      value: 20.576
+    - type: map_at_100
+      value: 21.414
+    - type: map_at_1000
+      value: 21.523999999999997
+    - type: map_at_3
+      value: 18.709
+    - type: map_at_5
+      value: 19.723
+    - type: mrr_at_1
+      value: 19.363
+    - type: mrr_at_10
+      value: 24.97
+    - type: mrr_at_100
+      value: 25.688
+    - type: mrr_at_1000
+      value: 25.759
+    - type: mrr_at_3
+      value: 23.067999999999998
+    - type: mrr_at_5
+      value: 24.105999999999998
+    - type: ndcg_at_1
+      value: 19.363
+    - type: ndcg_at_10
+      value: 24.465999999999998
+    - type: ndcg_at_100
+      value: 28.308
+    - type: ndcg_at_1000
+      value: 30.989
+    - type: ndcg_at_3
+      value: 21.285999999999998
+    - type: ndcg_at_5
+      value: 22.668
+    - type: precision_at_1
+      value: 19.363
+    - type: precision_at_10
+      value: 4.713
+    - type: precision_at_100
+      value: 0.8170000000000001
+    - type: precision_at_1000
+      value: 0.128
+    - type: precision_at_3
+      value: 10.34
+    - type: precision_at_5
+      value: 7.478
+    - type: recall_at_1
+      value: 14.969
+    - type: recall_at_10
+      value: 31.616
+    - type: recall_at_100
+      value: 48.775
+    - type: recall_at_1000
+      value: 67.186
+    - type: recall_at_3
+      value: 22.386
+    - type: recall_at_5
+      value: 26.141
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 23.652
+    - type: map_at_10
+      value: 31.282
+    - type: map_at_100
+      value: 32.265
+    - type: map_at_1000
+      value: 32.362
+    - type: map_at_3
+      value: 28.918
+    - type: map_at_5
+      value: 30.227999999999998
+    - type: mrr_at_1
+      value: 27.461000000000002
+    - type: mrr_at_10
+      value: 34.54
+    - type: mrr_at_100
+      value: 35.394999999999996
+    - type: mrr_at_1000
+      value: 35.458
+    - type: mrr_at_3
+      value: 32.340999999999994
+    - type: mrr_at_5
+      value: 33.642
+    - type: ndcg_at_1
+      value: 27.461000000000002
+    - type: ndcg_at_10
+      value: 35.715
+    - type: ndcg_at_100
+      value: 40.328
+    - type: ndcg_at_1000
+      value: 42.724000000000004
+    - type: ndcg_at_3
+      value: 31.329
+    - type: ndcg_at_5
+      value: 33.451
+    - type: precision_at_1
+      value: 27.461000000000002
+    - type: precision_at_10
+      value: 5.806
+    - type: precision_at_100
+      value: 0.8789999999999999
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_3
+      value: 13.980999999999998
+    - type: precision_at_5
+      value: 9.793000000000001
+    - type: recall_at_1
+      value: 23.652
+    - type: recall_at_10
+      value: 46.078
+    - type: recall_at_100
+      value: 66.542
+    - type: recall_at_1000
+      value: 84.24199999999999
+    - type: recall_at_3
+      value: 34.237
+    - type: recall_at_5
+      value: 39.469
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 8.362
+    - type: map_at_10
+      value: 11.64
+    - type: map_at_100
+      value: 12.299
+    - type: map_at_1000
+      value: 12.388
+    - type: map_at_3
+      value: 10.452
+    - type: map_at_5
+      value: 11.04
+    - type: mrr_at_1
+      value: 9.04
+    - type: mrr_at_10
+      value: 12.45
+    - type: mrr_at_100
+      value: 13.129
+    - type: mrr_at_1000
+      value: 13.211999999999998
+    - type: mrr_at_3
+      value: 11.243
+    - type: mrr_at_5
+      value: 11.825
+    - type: ndcg_at_1
+      value: 9.04
+    - type: ndcg_at_10
+      value: 13.821
+    - type: ndcg_at_100
+      value: 17.593
+    - type: ndcg_at_1000
+      value: 20.468
+    - type: ndcg_at_3
+      value: 11.399
+    - type: ndcg_at_5
+      value: 12.392
+    - type: precision_at_1
+      value: 9.04
+    - type: precision_at_10
+      value: 2.282
+    - type: precision_at_100
+      value: 0.445
+    - type: precision_at_1000
+      value: 0.073
+    - type: precision_at_3
+      value: 4.896
+    - type: precision_at_5
+      value: 3.5709999999999997
+    - type: recall_at_1
+      value: 8.362
+    - type: recall_at_10
+      value: 19.843
+    - type: recall_at_100
+      value: 38.153
+    - type: recall_at_1000
+      value: 61.06700000000001
+    - type: recall_at_3
+      value: 13.296
+    - type: recall_at_5
+      value: 15.565000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 5.335
+    - type: map_at_10
+      value: 8.286
+    - type: map_at_100
+      value: 8.969000000000001
+    - type: map_at_1000
+      value: 9.065
+    - type: map_at_3
+      value: 7.319000000000001
+    - type: map_at_5
+      value: 7.8020000000000005
+    - type: mrr_at_1
+      value: 6.965000000000001
+    - type: mrr_at_10
+      value: 10.523
+    - type: mrr_at_100
+      value: 11.244
+    - type: mrr_at_1000
+      value: 11.326
+    - type: mrr_at_3
+      value: 9.370000000000001
+    - type: mrr_at_5
+      value: 9.954
+    - type: ndcg_at_1
+      value: 6.965000000000001
+    - type: ndcg_at_10
+      value: 10.491
+    - type: ndcg_at_100
+      value: 14.155000000000001
+    - type: ndcg_at_1000
+      value: 16.853
+    - type: ndcg_at_3
+      value: 8.476
+    - type: ndcg_at_5
+      value: 9.31
+    - type: precision_at_1
+      value: 6.965000000000001
+    - type: precision_at_10
+      value: 2.027
+    - type: precision_at_100
+      value: 0.44999999999999996
+    - type: precision_at_1000
+      value: 0.077
+    - type: precision_at_3
+      value: 4.146
+    - type: precision_at_5
+      value: 3.06
+    - type: recall_at_1
+      value: 5.335
+    - type: recall_at_10
+      value: 15.195
+    - type: recall_at_100
+      value: 31.796999999999997
+    - type: recall_at_1000
+      value: 51.55800000000001
+    - type: recall_at_3
+      value: 9.623
+    - type: recall_at_5
+      value: 11.667
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 13.664000000000001
+    - type: map_at_10
+      value: 18.562
+    - type: map_at_100
+      value: 19.586000000000002
+    - type: map_at_1000
+      value: 19.716
+    - type: map_at_3
+      value: 16.705000000000002
+    - type: map_at_5
+      value: 17.733999999999998
+    - type: mrr_at_1
+      value: 17.421
+    - type: mrr_at_10
+      value: 22.729
+    - type: mrr_at_100
+      value: 23.626
+    - type: mrr_at_1000
+      value: 23.708000000000002
+    - type: mrr_at_3
+      value: 20.645
+    - type: mrr_at_5
+      value: 21.770999999999997
+    - type: ndcg_at_1
+      value: 17.421
+    - type: ndcg_at_10
+      value: 22.342000000000002
+    - type: ndcg_at_100
+      value: 27.556000000000004
+    - type: ndcg_at_1000
+      value: 30.805
+    - type: ndcg_at_3
+      value: 18.962
+    - type: ndcg_at_5
+      value: 20.469
+    - type: precision_at_1
+      value: 17.421
+    - type: precision_at_10
+      value: 4.2540000000000004
+    - type: precision_at_100
+      value: 0.831
+    - type: precision_at_1000
+      value: 0.13
+    - type: precision_at_3
+      value: 9.014999999999999
+    - type: precision_at_5
+      value: 6.564
+    - type: recall_at_1
+      value: 13.664000000000001
+    - type: recall_at_10
+      value: 29.945
+    - type: recall_at_100
+      value: 53.376999999999995
+    - type: recall_at_1000
+      value: 76.566
+    - type: recall_at_3
+      value: 20.183999999999997
+    - type: recall_at_5
+      value: 24.331
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 10.358
+    - type: map_at_10
+      value: 14.518
+    - type: map_at_100
+      value: 15.289
+    - type: map_at_1000
+      value: 15.418999999999999
+    - type: map_at_3
+      value: 12.818
+    - type: map_at_5
+      value: 13.750000000000002
+    - type: mrr_at_1
+      value: 12.9
+    - type: mrr_at_10
+      value: 17.366
+    - type: mrr_at_100
+      value: 18.116
+    - type: mrr_at_1000
+      value: 18.211
+    - type: mrr_at_3
+      value: 15.772
+    - type: mrr_at_5
+      value: 16.611
+    - type: ndcg_at_1
+      value: 12.9
+    - type: ndcg_at_10
+      value: 17.554
+    - type: ndcg_at_100
+      value: 21.823
+    - type: ndcg_at_1000
+      value: 25.258000000000003
+    - type: ndcg_at_3
+      value: 14.533
+    - type: ndcg_at_5
+      value: 15.885
+    - type: precision_at_1
+      value: 12.9
+    - type: precision_at_10
+      value: 3.39
+    - type: precision_at_100
+      value: 0.659
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 6.8870000000000005
+    - type: precision_at_5
+      value: 5.137
+    - type: recall_at_1
+      value: 10.358
+    - type: recall_at_10
+      value: 23.904
+    - type: recall_at_100
+      value: 43.437
+    - type: recall_at_1000
+      value: 68.142
+    - type: recall_at_3
+      value: 15.834999999999999
+    - type: recall_at_5
+      value: 19.201999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 11.687750000000001
+    - type: map_at_10
+      value: 16.009916666666665
+    - type: map_at_100
+      value: 16.77191666666667
+    - type: map_at_1000
+      value: 16.886333333333333
+    - type: map_at_3
+      value: 14.501916666666665
+    - type: map_at_5
+      value: 15.308416666666663
+    - type: mrr_at_1
+      value: 14.372416666666668
+    - type: mrr_at_10
+      value: 18.827499999999997
+    - type: mrr_at_100
+      value: 19.551416666666668
+    - type: mrr_at_1000
+      value: 19.637999999999998
+    - type: mrr_at_3
+      value: 17.313166666666667
+    - type: mrr_at_5
+      value: 18.12
+    - type: ndcg_at_1
+      value: 14.372416666666668
+    - type: ndcg_at_10
+      value: 19.01425
+    - type: ndcg_at_100
+      value: 22.99116666666667
+    - type: ndcg_at_1000
+      value: 26.01925
+    - type: ndcg_at_3
+      value: 16.268333333333334
+    - type: ndcg_at_5
+      value: 17.459666666666664
+    - type: precision_at_1
+      value: 14.372416666666668
+    - type: precision_at_10
+      value: 3.445166666666666
+    - type: precision_at_100
+      value: 0.6432499999999998
+    - type: precision_at_1000
+      value: 0.10583333333333335
+    - type: precision_at_3
+      value: 7.581499999999999
+    - type: precision_at_5
+      value: 5.4688333333333325
+    - type: recall_at_1
+      value: 11.687750000000001
+    - type: recall_at_10
+      value: 25.38433333333333
+    - type: recall_at_100
+      value: 43.76141666666666
+    - type: recall_at_1000
+      value: 65.92333333333332
+    - type: recall_at_3
+      value: 17.578916666666665
+    - type: recall_at_5
+      value: 20.69425
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 7.733
+    - type: map_at_10
+      value: 11.264000000000001
+    - type: map_at_100
+      value: 11.866
+    - type: map_at_1000
+      value: 11.953999999999999
+    - type: map_at_3
+      value: 9.707
+    - type: map_at_5
+      value: 10.632
+    - type: mrr_at_1
+      value: 9.663
+    - type: mrr_at_10
+      value: 13.394
+    - type: mrr_at_100
+      value: 13.991000000000001
+    - type: mrr_at_1000
+      value: 14.069999999999999
+    - type: mrr_at_3
+      value: 11.834999999999999
+    - type: mrr_at_5
+      value: 12.709999999999999
+    - type: ndcg_at_1
+      value: 9.663
+    - type: ndcg_at_10
+      value: 13.956
+    - type: ndcg_at_100
+      value: 17.143
+    - type: ndcg_at_1000
+      value: 19.741
+    - type: ndcg_at_3
+      value: 10.989
+    - type: ndcg_at_5
+      value: 12.437
+    - type: precision_at_1
+      value: 9.663
+    - type: precision_at_10
+      value: 2.561
+    - type: precision_at_100
+      value: 0.45399999999999996
+    - type: precision_at_1000
+      value: 0.074
+    - type: precision_at_3
+      value: 5.164
+    - type: precision_at_5
+      value: 3.8960000000000004
+    - type: recall_at_1
+      value: 7.733
+    - type: recall_at_10
+      value: 20.479
+    - type: recall_at_100
+      value: 35.349000000000004
+    - type: recall_at_1000
+      value: 55.38999999999999
+    - type: recall_at_3
+      value: 12.044
+    - type: recall_at_5
+      value: 15.831999999999999
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 5.382
+    - type: map_at_10
+      value: 8.177
+    - type: map_at_100
+      value: 8.715
+    - type: map_at_1000
+      value: 8.827
+    - type: map_at_3
+      value: 7.196
+    - type: map_at_5
+      value: 7.727
+    - type: mrr_at_1
+      value: 6.917
+    - type: mrr_at_10
+      value: 10.183
+    - type: mrr_at_100
+      value: 10.744
+    - type: mrr_at_1000
+      value: 10.841000000000001
+    - type: mrr_at_3
+      value: 9.119
+    - type: mrr_at_5
+      value: 9.654
+    - type: ndcg_at_1
+      value: 6.917
+    - type: ndcg_at_10
+      value: 10.203
+    - type: ndcg_at_100
+      value: 13.214
+    - type: ndcg_at_1000
+      value: 16.413
+    - type: ndcg_at_3
+      value: 8.338
+    - type: ndcg_at_5
+      value: 9.156
+    - type: precision_at_1
+      value: 6.917
+    - type: precision_at_10
+      value: 2.003
+    - type: precision_at_100
+      value: 0.418
+    - type: precision_at_1000
+      value: 0.083
+    - type: precision_at_3
+      value: 4.118
+    - type: precision_at_5
+      value: 3.09
+    - type: recall_at_1
+      value: 5.382
+    - type: recall_at_10
+      value: 14.432
+    - type: recall_at_100
+      value: 28.605000000000004
+    - type: recall_at_1000
+      value: 52.38699999999999
+    - type: recall_at_3
+      value: 9.251
+    - type: recall_at_5
+      value: 11.339
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 11.106
+    - type: map_at_10
+      value: 14.943999999999999
+    - type: map_at_100
+      value: 15.586
+    - type: map_at_1000
+      value: 15.690999999999999
+    - type: map_at_3
+      value: 13.722999999999999
+    - type: map_at_5
+      value: 14.45
+    - type: mrr_at_1
+      value: 13.433
+    - type: mrr_at_10
+      value: 17.608999999999998
+    - type: mrr_at_100
+      value: 18.297
+    - type: mrr_at_1000
+      value: 18.393
+    - type: mrr_at_3
+      value: 16.247
+    - type: mrr_at_5
+      value: 17.063
+    - type: ndcg_at_1
+      value: 13.433
+    - type: ndcg_at_10
+      value: 17.563000000000002
+    - type: ndcg_at_100
+      value: 21.25
+    - type: ndcg_at_1000
+      value: 24.296
+    - type: ndcg_at_3
+      value: 15.214
+    - type: ndcg_at_5
+      value: 16.387999999999998
+    - type: precision_at_1
+      value: 13.433
+    - type: precision_at_10
+      value: 2.9010000000000002
+    - type: precision_at_100
+      value: 0.532
+    - type: precision_at_1000
+      value: 0.089
+    - type: precision_at_3
+      value: 6.872
+    - type: precision_at_5
+      value: 4.907
+    - type: recall_at_1
+      value: 11.106
+    - type: recall_at_10
+      value: 23.131
+    - type: recall_at_100
+      value: 40.505
+    - type: recall_at_1000
+      value: 63.135
+    - type: recall_at_3
+      value: 16.511
+    - type: recall_at_5
+      value: 19.55
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 12.153
+    - type: map_at_10
+      value: 16.474
+    - type: map_at_100
+      value: 17.294
+    - type: map_at_1000
+      value: 17.443
+    - type: map_at_3
+      value: 15.345
+    - type: map_at_5
+      value: 15.787999999999998
+    - type: mrr_at_1
+      value: 15.415000000000001
+    - type: mrr_at_10
+      value: 19.62
+    - type: mrr_at_100
+      value: 20.392
+    - type: mrr_at_1000
+      value: 20.485999999999997
+    - type: mrr_at_3
+      value: 18.511
+    - type: mrr_at_5
+      value: 19.035
+    - type: ndcg_at_1
+      value: 15.415000000000001
+    - type: ndcg_at_10
+      value: 19.377
+    - type: ndcg_at_100
+      value: 23.538999999999998
+    - type: ndcg_at_1000
+      value: 27.106
+    - type: ndcg_at_3
+      value: 17.505000000000003
+    - type: ndcg_at_5
+      value: 17.979
+    - type: precision_at_1
+      value: 15.415000000000001
+    - type: precision_at_10
+      value: 3.696
+    - type: precision_at_100
+      value: 0.8
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 8.432
+    - type: precision_at_5
+      value: 5.731
+    - type: recall_at_1
+      value: 12.153
+    - type: recall_at_10
+      value: 24.393
+    - type: recall_at_100
+      value: 44.316
+    - type: recall_at_1000
+      value: 69.236
+    - type: recall_at_3
+      value: 18.285999999999998
+    - type: recall_at_5
+      value: 20.032
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 8.349
+    - type: map_at_10
+      value: 10.949
+    - type: map_at_100
+      value: 11.588
+    - type: map_at_1000
+      value: 11.699
+    - type: map_at_3
+      value: 9.763
+    - type: map_at_5
+      value: 10.177
+    - type: mrr_at_1
+      value: 9.427000000000001
+    - type: mrr_at_10
+      value: 12.116
+    - type: mrr_at_100
+      value: 12.778
+    - type: mrr_at_1000
+      value: 12.878
+    - type: mrr_at_3
+      value: 10.875
+    - type: mrr_at_5
+      value: 11.272
+    - type: ndcg_at_1
+      value: 9.427000000000001
+    - type: ndcg_at_10
+      value: 13.006
+    - type: ndcg_at_100
+      value: 16.869
+    - type: ndcg_at_1000
+      value: 20.089000000000002
+    - type: ndcg_at_3
+      value: 10.434000000000001
+    - type: ndcg_at_5
+      value: 11.131
+    - type: precision_at_1
+      value: 9.427000000000001
+    - type: precision_at_10
+      value: 2.144
+    - type: precision_at_100
+      value: 0.455
+    - type: precision_at_1000
+      value: 0.08099999999999999
+    - type: precision_at_3
+      value: 4.251
+    - type: precision_at_5
+      value: 2.957
+    - type: recall_at_1
+      value: 8.349
+    - type: recall_at_10
+      value: 18.472
+    - type: recall_at_100
+      value: 37.485
+    - type: recall_at_1000
+      value: 62.208
+    - type: recall_at_3
+      value: 11.312
+    - type: recall_at_5
+      value: 12.914
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 4.817
+    - type: map_at_10
+      value: 8.848
+    - type: map_at_100
+      value: 10.052999999999999
+    - type: map_at_1000
+      value: 10.212
+    - type: map_at_3
+      value: 7.140000000000001
+    - type: map_at_5
+      value: 8.04
+    - type: mrr_at_1
+      value: 11.01
+    - type: mrr_at_10
+      value: 18.343
+    - type: mrr_at_100
+      value: 19.442999999999998
+    - type: mrr_at_1000
+      value: 19.517
+    - type: mrr_at_3
+      value: 15.733
+    - type: mrr_at_5
+      value: 17.065
+    - type: ndcg_at_1
+      value: 11.01
+    - type: ndcg_at_10
+      value: 13.533000000000001
+    - type: ndcg_at_100
+      value: 19.312
+    - type: ndcg_at_1000
+      value: 22.830000000000002
+    - type: ndcg_at_3
+      value: 10.218
+    - type: ndcg_at_5
+      value: 11.436
+    - type: precision_at_1
+      value: 11.01
+    - type: precision_at_10
+      value: 4.58
+    - type: precision_at_100
+      value: 1.0699999999999998
+    - type: precision_at_1000
+      value: 0.17099999999999999
+    - type: precision_at_3
+      value: 7.883
+    - type: precision_at_5
+      value: 6.41
+    - type: recall_at_1
+      value: 4.817
+    - type: recall_at_10
+      value: 17.477
+    - type: recall_at_100
+      value: 38.059
+    - type: recall_at_1000
+      value: 58.464000000000006
+    - type: recall_at_3
+      value: 9.588000000000001
+    - type: recall_at_5
+      value: 12.740000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 2.213
+    - type: map_at_10
+      value: 5.106
+    - type: map_at_100
+      value: 7.088
+    - type: map_at_1000
+      value: 7.704
+    - type: map_at_3
+      value: 3.714
+    - type: map_at_5
+      value: 4.265
+    - type: mrr_at_1
+      value: 26.0
+    - type: mrr_at_10
+      value: 36.775999999999996
+    - type: mrr_at_100
+      value: 37.643
+    - type: mrr_at_1000
+      value: 37.695
+    - type: mrr_at_3
+      value: 34.292
+    - type: mrr_at_5
+      value: 35.754000000000005
+    - type: ndcg_at_1
+      value: 18.0
+    - type: ndcg_at_10
+      value: 14.601
+    - type: ndcg_at_100
+      value: 17.272000000000002
+    - type: ndcg_at_1000
+      value: 23.013
+    - type: ndcg_at_3
+      value: 16.767000000000003
+    - type: ndcg_at_5
+      value: 15.622
+    - type: precision_at_1
+      value: 26.0
+    - type: precision_at_10
+      value: 13.15
+    - type: precision_at_100
+      value: 4.495
+    - type: precision_at_1000
+      value: 1.0370000000000001
+    - type: precision_at_3
+      value: 21.333
+    - type: precision_at_5
+      value: 17.599999999999998
+    - type: recall_at_1
+      value: 2.213
+    - type: recall_at_10
+      value: 8.852
+    - type: recall_at_100
+      value: 22.954
+    - type: recall_at_1000
+      value: 42.836
+    - type: recall_at_3
+      value: 4.753
+    - type: recall_at_5
+      value: 5.957
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 38.765
+    - type: f1
+      value: 35.41826314285653
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 12.147
+    - type: map_at_10
+      value: 17.898
+    - type: map_at_100
+      value: 18.756
+    - type: map_at_1000
+      value: 18.843
+    - type: map_at_3
+      value: 15.85
+    - type: map_at_5
+      value: 17.008000000000003
+    - type: mrr_at_1
+      value: 12.870999999999999
+    - type: mrr_at_10
+      value: 18.928
+    - type: mrr_at_100
+      value: 19.802
+    - type: mrr_at_1000
+      value: 19.884
+    - type: mrr_at_3
+      value: 16.804
+    - type: mrr_at_5
+      value: 18.0
+    - type: ndcg_at_1
+      value: 12.870999999999999
+    - type: ndcg_at_10
+      value: 21.579
+    - type: ndcg_at_100
+      value: 26.144000000000002
+    - type: ndcg_at_1000
+      value: 28.698
+    - type: ndcg_at_3
+      value: 17.339
+    - type: ndcg_at_5
+      value: 19.419
+    - type: precision_at_1
+      value: 12.870999999999999
+    - type: precision_at_10
+      value: 3.4819999999999998
+    - type: precision_at_100
+      value: 0.596
+    - type: precision_at_1000
+      value: 0.084
+    - type: precision_at_3
+      value: 7.396
+    - type: precision_at_5
+      value: 5.506
+    - type: recall_at_1
+      value: 12.147
+    - type: recall_at_10
+      value: 32.232
+    - type: recall_at_100
+      value: 53.911
+    - type: recall_at_1000
+      value: 73.883
+    - type: recall_at_3
+      value: 20.694000000000003
+    - type: recall_at_5
+      value: 25.689
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 5.649
+    - type: map_at_10
+      value: 8.784
+    - type: map_at_100
+      value: 9.571
+    - type: map_at_1000
+      value: 9.75
+    - type: map_at_3
+      value: 7.442
+    - type: map_at_5
+      value: 8.144
+    - type: mrr_at_1
+      value: 11.111
+    - type: mrr_at_10
+      value: 15.584999999999999
+    - type: mrr_at_100
+      value: 16.356
+    - type: mrr_at_1000
+      value: 16.471
+    - type: mrr_at_3
+      value: 13.889000000000001
+    - type: mrr_at_5
+      value: 14.823
+    - type: ndcg_at_1
+      value: 11.111
+    - type: ndcg_at_10
+      value: 12.137
+    - type: ndcg_at_100
+      value: 16.381
+    - type: ndcg_at_1000
+      value: 20.915
+    - type: ndcg_at_3
+      value: 10.045
+    - type: ndcg_at_5
+      value: 10.850999999999999
+    - type: precision_at_1
+      value: 11.111
+    - type: precision_at_10
+      value: 3.4410000000000003
+    - type: precision_at_100
+      value: 0.7779999999999999
+    - type: precision_at_1000
+      value: 0.154
+    - type: precision_at_3
+      value: 6.481000000000001
+    - type: precision_at_5
+      value: 5.122999999999999
+    - type: recall_at_1
+      value: 5.649
+    - type: recall_at_10
+      value: 15.611
+    - type: recall_at_100
+      value: 32.497
+    - type: recall_at_1000
+      value: 61.314
+    - type: recall_at_3
+      value: 9.363000000000001
+    - type: recall_at_5
+      value: 11.781
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 12.950999999999999
+    - type: map_at_10
+      value: 17.712
+    - type: map_at_100
+      value: 18.362000000000002
+    - type: map_at_1000
+      value: 18.45
+    - type: map_at_3
+      value: 16.325
+    - type: map_at_5
+      value: 17.071
+    - type: mrr_at_1
+      value: 25.901000000000003
+    - type: mrr_at_10
+      value: 31.275
+    - type: mrr_at_100
+      value: 31.924999999999997
+    - type: mrr_at_1000
+      value: 31.988
+    - type: mrr_at_3
+      value: 29.709999999999997
+    - type: mrr_at_5
+      value: 30.553
+    - type: ndcg_at_1
+      value: 25.901000000000003
+    - type: ndcg_at_10
+      value: 22.958000000000002
+    - type: ndcg_at_100
+      value: 26.253
+    - type: ndcg_at_1000
+      value: 28.573999999999998
+    - type: ndcg_at_3
+      value: 20.175
+    - type: ndcg_at_5
+      value: 21.468
+    - type: precision_at_1
+      value: 25.901000000000003
+    - type: precision_at_10
+      value: 5.055
+    - type: precision_at_100
+      value: 0.772
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 12.631
+    - type: precision_at_5
+      value: 8.605
+    - type: recall_at_1
+      value: 12.950999999999999
+    - type: recall_at_10
+      value: 25.273
+    - type: recall_at_100
+      value: 38.589
+    - type: recall_at_1000
+      value: 54.159
+    - type: recall_at_3
+      value: 18.947
+    - type: recall_at_5
+      value: 21.512
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 66.6856
+    - type: ap
+      value: 61.623516914776424
+    - type: f1
+      value: 66.36169217459741
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 5.1339999999999995
+    - type: map_at_10
+      value: 8.908000000000001
+    - type: map_at_100
+      value: 9.722999999999999
+    - type: map_at_1000
+      value: 9.817
+    - type: map_at_3
+      value: 7.509
+    - type: map_at_5
+      value: 8.198
+    - type: mrr_at_1
+      value: 5.3580000000000005
+    - type: mrr_at_10
+      value: 9.188
+    - type: mrr_at_100
+      value: 10.012
+    - type: mrr_at_1000
+      value: 10.104000000000001
+    - type: mrr_at_3
+      value: 7.758
+    - type: mrr_at_5
+      value: 8.466
+    - type: ndcg_at_1
+      value: 5.315
+    - type: ndcg_at_10
+      value: 11.344
+    - type: ndcg_at_100
+      value: 15.823
+    - type: ndcg_at_1000
+      value: 18.701
+    - type: ndcg_at_3
+      value: 8.372
+    - type: ndcg_at_5
+      value: 9.625
+    - type: precision_at_1
+      value: 5.315
+    - type: precision_at_10
+      value: 1.966
+    - type: precision_at_100
+      value: 0.42900000000000005
+    - type: precision_at_1000
+      value: 0.068
+    - type: precision_at_3
+      value: 3.682
+    - type: precision_at_5
+      value: 2.834
+    - type: recall_at_1
+      value: 5.1339999999999995
+    - type: recall_at_10
+      value: 18.948
+    - type: recall_at_100
+      value: 40.849999999999994
+    - type: recall_at_1000
+      value: 64.048
+    - type: recall_at_3
+      value: 10.659
+    - type: recall_at_5
+      value: 13.691
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 85.54947560419517
+    - type: f1
+      value: 84.8242629182151
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 50.348837209302324
+    - type: f1
+      value: 33.552311863643
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 56.76529926025555
+    - type: f1
+      value: 53.50819461312456
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 66.64425016812373
+    - type: f1
+      value: 64.67534424488329
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 26.33530655295464
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 23.27607219103413
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 27.082984442235798
+    - type: mrr
+      value: 27.558608635217794
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 2.622
+    - type: map_at_10
+      value: 5.769
+    - type: map_at_100
+      value: 7.276000000000001
+    - type: map_at_1000
+      value: 8.394
+    - type: map_at_3
+      value: 4.566
+    - type: map_at_5
+      value: 5.1979999999999995
+    - type: mrr_at_1
+      value: 26.935
+    - type: mrr_at_10
+      value: 37.354
+    - type: mrr_at_100
+      value: 38.151
+    - type: mrr_at_1000
+      value: 38.224000000000004
+    - type: mrr_at_3
+      value: 34.778
+    - type: mrr_at_5
+      value: 36.342
+    - type: ndcg_at_1
+      value: 25.386999999999997
+    - type: ndcg_at_10
+      value: 19.151
+    - type: ndcg_at_100
+      value: 18.927
+    - type: ndcg_at_1000
+      value: 28.666999999999998
+    - type: ndcg_at_3
+      value: 22.261
+    - type: ndcg_at_5
+      value: 20.921
+    - type: precision_at_1
+      value: 26.935
+    - type: precision_at_10
+      value: 13.715
+    - type: precision_at_100
+      value: 5.276
+    - type: precision_at_1000
+      value: 1.8270000000000002
+    - type: precision_at_3
+      value: 20.64
+    - type: precision_at_5
+      value: 17.337
+    - type: recall_at_1
+      value: 2.622
+    - type: recall_at_10
+      value: 9.516
+    - type: recall_at_100
+      value: 22.083
+    - type: recall_at_1000
+      value: 55.879999999999995
+    - type: recall_at_3
+      value: 6.051
+    - type: recall_at_5
+      value: 7.738
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 9.020999999999999
+    - type: map_at_10
+      value: 14.432
+    - type: map_at_100
+      value: 15.384
+    - type: map_at_1000
+      value: 15.473
+    - type: map_at_3
+      value: 12.362
+    - type: map_at_5
+      value: 13.397
+    - type: mrr_at_1
+      value: 10.197000000000001
+    - type: mrr_at_10
+      value: 15.914
+    - type: mrr_at_100
+      value: 16.814
+    - type: mrr_at_1000
+      value: 16.892
+    - type: mrr_at_3
+      value: 13.764999999999999
+    - type: mrr_at_5
+      value: 14.838000000000001
+    - type: ndcg_at_1
+      value: 10.197000000000001
+    - type: ndcg_at_10
+      value: 18.109
+    - type: ndcg_at_100
+      value: 23.055999999999997
+    - type: ndcg_at_1000
+      value: 25.569999999999997
+    - type: ndcg_at_3
+      value: 13.771
+    - type: ndcg_at_5
+      value: 15.618000000000002
+    - type: precision_at_1
+      value: 10.197000000000001
+    - type: precision_at_10
+      value: 3.305
+    - type: precision_at_100
+      value: 0.615
+    - type: precision_at_1000
+      value: 0.08499999999999999
+    - type: precision_at_3
+      value: 6.354
+    - type: precision_at_5
+      value: 4.855
+    - type: recall_at_1
+      value: 9.020999999999999
+    - type: recall_at_10
+      value: 28.153
+    - type: recall_at_100
+      value: 51.278999999999996
+    - type: recall_at_1000
+      value: 70.742
+    - type: recall_at_3
+      value: 16.478
+    - type: recall_at_5
+      value: 20.766000000000002
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 58.165
+    - type: map_at_10
+      value: 69.596
+    - type: map_at_100
+      value: 70.317
+    - type: map_at_1000
+      value: 70.358
+    - type: map_at_3
+      value: 66.952
+    - type: map_at_5
+      value: 68.57600000000001
+    - type: mrr_at_1
+      value: 67.09
+    - type: mrr_at_10
+      value: 74.236
+    - type: mrr_at_100
+      value: 74.541
+    - type: mrr_at_1000
+      value: 74.554
+    - type: mrr_at_3
+      value: 72.815
+    - type: mrr_at_5
+      value: 73.719
+    - type: ndcg_at_1
+      value: 67.16
+    - type: ndcg_at_10
+      value: 74.18299999999999
+    - type: ndcg_at_100
+      value: 76.452
+    - type: ndcg_at_1000
+      value: 77.105
+    - type: ndcg_at_3
+      value: 70.881
+    - type: ndcg_at_5
+      value: 72.603
+    - type: precision_at_1
+      value: 67.16
+    - type: precision_at_10
+      value: 11.115
+    - type: precision_at_100
+      value: 1.3379999999999999
+    - type: precision_at_1000
+      value: 0.146
+    - type: precision_at_3
+      value: 30.607
+    - type: precision_at_5
+      value: 20.214
+    - type: recall_at_1
+      value: 58.165
+    - type: recall_at_10
+      value: 82.73700000000001
+    - type: recall_at_100
+      value: 91.767
+    - type: recall_at_1000
+      value: 95.94500000000001
+    - type: recall_at_3
+      value: 73.134
+    - type: recall_at_5
+      value: 77.98
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 24.5493374372718
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 38.00016239175056
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 2.0500000000000003
+    - type: map_at_10
+      value: 5.06
+    - type: map_at_100
+      value: 6.146999999999999
+    - type: map_at_1000
+      value: 6.368
+    - type: map_at_3
+      value: 3.6220000000000003
+    - type: map_at_5
+      value: 4.324999999999999
+    - type: mrr_at_1
+      value: 10.100000000000001
+    - type: mrr_at_10
+      value: 17.000999999999998
+    - type: mrr_at_100
+      value: 18.223
+    - type: mrr_at_1000
+      value: 18.329
+    - type: mrr_at_3
+      value: 14.267
+    - type: mrr_at_5
+      value: 15.626999999999999
+    - type: ndcg_at_1
+      value: 10.100000000000001
+    - type: ndcg_at_10
+      value: 9.467
+    - type: ndcg_at_100
+      value: 14.862
+    - type: ndcg_at_1000
+      value: 19.794999999999998
+    - type: ndcg_at_3
+      value: 8.405999999999999
+    - type: ndcg_at_5
+      value: 7.539
+    - type: precision_at_1
+      value: 10.100000000000001
+    - type: precision_at_10
+      value: 5.12
+    - type: precision_at_100
+      value: 1.3
+    - type: precision_at_1000
+      value: 0.249
+    - type: precision_at_3
+      value: 7.832999999999999
+    - type: precision_at_5
+      value: 6.72
+    - type: recall_at_1
+      value: 2.0500000000000003
+    - type: recall_at_10
+      value: 10.388
+    - type: recall_at_100
+      value: 26.401999999999997
+    - type: recall_at_1000
+      value: 50.707
+    - type: recall_at_3
+      value: 4.760000000000001
+    - type: recall_at_5
+      value: 6.8180000000000005
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 71.89984343607804
+    - type: cos_sim_spearman
+      value: 63.43467385580481
+    - type: euclidean_pearson
+      value: 69.73579823240381
+    - type: euclidean_spearman
+      value: 63.43475730968674
+    - type: manhattan_pearson
+      value: 69.8228923194184
+    - type: manhattan_spearman
+      value: 63.58845076244296
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 65.4759399816162
+    - type: cos_sim_spearman
+      value: 65.35498422056574
+    - type: euclidean_pearson
+      value: 68.36154404872667
+    - type: euclidean_spearman
+      value: 65.35640076124622
+    - type: manhattan_pearson
+      value: 68.40246600630756
+    - type: manhattan_spearman
+      value: 65.42497257424823
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 55.68971853486872
+    - type: cos_sim_spearman
+      value: 59.06834913713076
+    - type: euclidean_pearson
+      value: 59.706488047671044
+    - type: euclidean_spearman
+      value: 59.06838710110628
+    - type: manhattan_pearson
+      value: 60.072587773127125
+    - type: manhattan_spearman
+      value: 59.50320399915506
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 57.557307550750295
+    - type: cos_sim_spearman
+      value: 60.68273711090555
+    - type: euclidean_pearson
+      value: 60.20869968120602
+    - type: euclidean_spearman
+      value: 60.68272743643783
+    - type: manhattan_pearson
+      value: 60.50545955587273
+    - type: manhattan_spearman
+      value: 60.95213012572679
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 58.18042156345806
+    - type: cos_sim_spearman
+      value: 65.32579360012554
+    - type: euclidean_pearson
+      value: 64.31792924588922
+    - type: euclidean_spearman
+      value: 65.32579038611287
+    - type: manhattan_pearson
+      value: 64.40233473846389
+    - type: manhattan_spearman
+      value: 65.40214278585312
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 44.50178221672106
+    - type: cos_sim_spearman
+      value: 55.784111367310665
+    - type: euclidean_pearson
+      value: 53.41468235269096
+    - type: euclidean_spearman
+      value: 55.784384888922425
+    - type: manhattan_pearson
+      value: 53.53280905200817
+    - type: manhattan_spearman
+      value: 55.88198774771714
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 55.13631567761868
+    - type: cos_sim_spearman
+      value: 65.57248978406166
+    - type: euclidean_pearson
+      value: 64.03946971471025
+    - type: euclidean_spearman
+      value: 65.57337456557754
+    - type: manhattan_pearson
+      value: 63.61261893563087
+    - type: manhattan_spearman
+      value: 65.1385835431766
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.45864805131749
+    - type: cos_sim_spearman
+      value: 50.95973110970679
+    - type: euclidean_pearson
+      value: 40.95705582088806
+    - type: euclidean_spearman
+      value: 50.95973110970679
+    - type: manhattan_pearson
+      value: 41.674733184754345
+    - type: manhattan_spearman
+      value: 51.614159713070464
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 56.77386223789116
+    - type: cos_sim_spearman
+      value: 59.293606859595485
+    - type: euclidean_pearson
+      value: 60.19020154248288
+    - type: euclidean_spearman
+      value: 59.29359527035356
+    - type: manhattan_pearson
+      value: 60.282114876575186
+    - type: manhattan_spearman
+      value: 59.37212976911096
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 61.571833060295766
+    - type: mrr
+      value: 85.19842267391286
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 31.556
+    - type: map_at_10
+      value: 38.556000000000004
+    - type: map_at_100
+      value: 39.701
+    - type: map_at_1000
+      value: 39.775
+    - type: map_at_3
+      value: 36.342999999999996
+    - type: map_at_5
+      value: 37.702000000000005
+    - type: mrr_at_1
+      value: 33.0
+    - type: mrr_at_10
+      value: 40.035
+    - type: mrr_at_100
+      value: 41.053
+    - type: mrr_at_1000
+      value: 41.115
+    - type: mrr_at_3
+      value: 38.0
+    - type: mrr_at_5
+      value: 39.333
+    - type: ndcg_at_1
+      value: 33.0
+    - type: ndcg_at_10
+      value: 42.512
+    - type: ndcg_at_100
+      value: 48.231
+    - type: ndcg_at_1000
+      value: 50.283
+    - type: ndcg_at_3
+      value: 38.272
+    - type: ndcg_at_5
+      value: 40.589
+    - type: precision_at_1
+      value: 33.0
+    - type: precision_at_10
+      value: 5.867
+    - type: precision_at_100
+      value: 0.903
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 15.0
+    - type: precision_at_5
+      value: 10.333
+    - type: recall_at_1
+      value: 31.556
+    - type: recall_at_10
+      value: 53.261
+    - type: recall_at_100
+      value: 80.072
+    - type: recall_at_1000
+      value: 96.39999999999999
+    - type: recall_at_3
+      value: 42.111
+    - type: recall_at_5
+      value: 47.556
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.28217821782178
+    - type: cos_sim_ap
+      value: 52.992820561773925
+    - type: cos_sim_f1
+      value: 53.79000561482312
+    - type: cos_sim_precision
+      value: 61.33162612035852
+    - type: cos_sim_recall
+      value: 47.9
+    - type: dot_accuracy
+      value: 99.28217821782178
+    - type: dot_ap
+      value: 52.992820561773925
+    - type: dot_f1
+      value: 53.79000561482312
+    - type: dot_precision
+      value: 61.33162612035852
+    - type: dot_recall
+      value: 47.9
+    - type: euclidean_accuracy
+      value: 99.28217821782178
+    - type: euclidean_ap
+      value: 52.992820561773925
+    - type: euclidean_f1
+      value: 53.79000561482312
+    - type: euclidean_precision
+      value: 61.33162612035852
+    - type: euclidean_recall
+      value: 47.9
+    - type: manhattan_accuracy
+      value: 99.2871287128713
+    - type: manhattan_ap
+      value: 53.606023555965066
+    - type: manhattan_f1
+      value: 54.131054131054135
+    - type: manhattan_precision
+      value: 62.913907284768214
+    - type: manhattan_recall
+      value: 47.5
+    - type: max_accuracy
+      value: 99.2871287128713
+    - type: max_ap
+      value: 53.606023555965066
+    - type: max_f1
+      value: 54.131054131054135
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 36.32857312142378
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 27.504144051226
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 40.76457049974378
+    - type: mrr
+      value: 41.07083174178763
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.243788760312984
+    - type: cos_sim_spearman
+      value: 31.03280248261321
+    - type: dot_pearson
+      value: 30.243788764677664
+    - type: dot_spearman
+      value: 31.061614308694534
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.149
+    - type: map_at_10
+      value: 0.8999999999999999
+    - type: map_at_100
+      value: 3.943
+    - type: map_at_1000
+      value: 9.314
+    - type: map_at_3
+      value: 0.366
+    - type: map_at_5
+      value: 0.521
+    - type: mrr_at_1
+      value: 64.0
+    - type: mrr_at_10
+      value: 75.102
+    - type: mrr_at_100
+      value: 75.48
+    - type: mrr_at_1000
+      value: 75.48
+    - type: mrr_at_3
+      value: 73.333
+    - type: mrr_at_5
+      value: 74.233
+    - type: ndcg_at_1
+      value: 57.99999999999999
+    - type: ndcg_at_10
+      value: 49.122
+    - type: ndcg_at_100
+      value: 32.473
+    - type: ndcg_at_1000
+      value: 27.815
+    - type: ndcg_at_3
+      value: 55.00000000000001
+    - type: ndcg_at_5
+      value: 51.571
+    - type: precision_at_1
+      value: 64.0
+    - type: precision_at_10
+      value: 53.0
+    - type: precision_at_100
+      value: 33.2
+    - type: precision_at_1000
+      value: 13.308
+    - type: precision_at_3
+      value: 61.333000000000006
+    - type: precision_at_5
+      value: 56.00000000000001
+    - type: recall_at_1
+      value: 0.149
+    - type: recall_at_10
+      value: 1.176
+    - type: recall_at_100
+      value: 7.074
+    - type: recall_at_1000
+      value: 26.454
+    - type: recall_at_3
+      value: 0.406
+    - type: recall_at_5
+      value: 0.617
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 1.6129999999999998
+    - type: map_at_10
+      value: 4.543
+    - type: map_at_100
+      value: 7.212000000000001
+    - type: map_at_1000
+      value: 8.495
+    - type: map_at_3
+      value: 2.6069999999999998
+    - type: map_at_5
+      value: 3.451
+    - type: mrr_at_1
+      value: 24.490000000000002
+    - type: mrr_at_10
+      value: 32.638
+    - type: mrr_at_100
+      value: 34.361000000000004
+    - type: mrr_at_1000
+      value: 34.39
+    - type: mrr_at_3
+      value: 28.912
+    - type: mrr_at_5
+      value: 31.156
+    - type: ndcg_at_1
+      value: 23.469
+    - type: ndcg_at_10
+      value: 13.056000000000001
+    - type: ndcg_at_100
+      value: 22.066
+    - type: ndcg_at_1000
+      value: 34.38
+    - type: ndcg_at_3
+      value: 16.495
+    - type: ndcg_at_5
+      value: 15.158
+    - type: precision_at_1
+      value: 24.490000000000002
+    - type: precision_at_10
+      value: 11.224
+    - type: precision_at_100
+      value: 5.061
+    - type: precision_at_1000
+      value: 1.2630000000000001
+    - type: precision_at_3
+      value: 15.645999999999999
+    - type: precision_at_5
+      value: 15.101999999999999
+    - type: recall_at_1
+      value: 1.6129999999999998
+    - type: recall_at_10
+      value: 8.486
+    - type: recall_at_100
+      value: 31.317
+    - type: recall_at_1000
+      value: 69.62899999999999
+    - type: recall_at_3
+      value: 3.421
+    - type: recall_at_5
+      value: 5.328
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 71.8716
+    - type: ap
+      value: 13.588164805433928
+    - type: f1
+      value: 54.41439485369954
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 57.06564799094511
+    - type: f1
+      value: 57.20282472039746
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 23.406257160147327
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 81.0037551409668
+    - type: cos_sim_ap
+      value: 55.47970632502296
+    - type: cos_sim_f1
+      value: 53.07814214311838
+    - type: cos_sim_precision
+      value: 49.33152050759121
+    - type: cos_sim_recall
+      value: 57.440633245382585
+    - type: dot_accuracy
+      value: 81.0037551409668
+    - type: dot_ap
+      value: 55.47970632502296
+    - type: dot_f1
+      value: 53.07814214311838
+    - type: dot_precision
+      value: 49.33152050759121
+    - type: dot_recall
+      value: 57.440633245382585
+    - type: euclidean_accuracy
+      value: 81.0037551409668
+    - type: euclidean_ap
+      value: 55.47970632502296
+    - type: euclidean_f1
+      value: 53.07814214311838
+    - type: euclidean_precision
+      value: 49.33152050759121
+    - type: euclidean_recall
+      value: 57.440633245382585
+    - type: manhattan_accuracy
+      value: 81.0037551409668
+    - type: manhattan_ap
+      value: 55.80897704541587
+    - type: manhattan_f1
+      value: 53.43965722447036
+    - type: manhattan_precision
+      value: 48.67736339982654
+    - type: manhattan_recall
+      value: 59.23482849604221
+    - type: max_accuracy
+      value: 81.0037551409668
+    - type: max_ap
+      value: 55.80897704541587
+    - type: max_f1
+      value: 53.43965722447036
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 83.57783211083944
+    - type: cos_sim_ap
+      value: 71.5815660869356
+    - type: cos_sim_f1
+      value: 63.43217907021236
+    - type: cos_sim_precision
+      value: 63.04860424431429
+    - type: cos_sim_recall
+      value: 63.82044964582691
+    - type: dot_accuracy
+      value: 83.57783211083944
+    - type: dot_ap
+      value: 71.58156546802053
+    - type: dot_f1
+      value: 63.43217907021236
+    - type: dot_precision
+      value: 63.04860424431429
+    - type: dot_recall
+      value: 63.82044964582691
+    - type: euclidean_accuracy
+      value: 83.57783211083944
+    - type: euclidean_ap
+      value: 71.5815657331584
+    - type: euclidean_f1
+      value: 63.43217907021236
+    - type: euclidean_precision
+      value: 63.04860424431429
+    - type: euclidean_recall
+      value: 63.82044964582691
+    - type: manhattan_accuracy
+      value: 83.69231963363993
+    - type: manhattan_ap
+      value: 71.80465347479418
+    - type: manhattan_f1
+      value: 63.49836524988323
+    - type: manhattan_precision
+      value: 64.2081234256927
+    - type: manhattan_recall
+      value: 62.804126886356634
+    - type: max_accuracy
+      value: 83.69231963363993
+    - type: max_ap
+      value: 71.80465347479418
+    - type: max_f1
+      value: 63.49836524988323
+---