Create README.md

README.md

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+---
+tags:
+- mteb
+model-index:
+- name: gte_wordllama_result
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 72.07462686567165
+    - type: ap
+      value: 34.03639155919273
+    - type: f1
+      value: 65.69832537072352
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 69.453025
+    - type: ap
+      value: 63.87884877644433
+    - type: f1
+      value: 69.23150048939367
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 36.364
+    - type: f1
+      value: 35.72067919658383
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+    metrics:
+    - type: map_at_1
+      value: 22.546
+    - type: map_at_10
+      value: 37.411
+    - type: map_at_100
+      value: 38.582
+    - type: map_at_1000
+      value: 38.597
+    - type: map_at_3
+      value: 32.492
+    - type: map_at_5
+      value: 35.141
+    - type: mrr_at_1
+      value: 23.186
+    - type: mrr_at_10
+      value: 37.651
+    - type: mrr_at_100
+      value: 38.822
+    - type: mrr_at_1000
+      value: 38.836999999999996
+    - type: mrr_at_3
+      value: 32.741
+    - type: mrr_at_5
+      value: 35.408
+    - type: ndcg_at_1
+      value: 22.546
+    - type: ndcg_at_10
+      value: 46.012
+    - type: ndcg_at_100
+      value: 51.197
+    - type: ndcg_at_1000
+      value: 51.547
+    - type: ndcg_at_3
+      value: 35.762
+    - type: ndcg_at_5
+      value: 40.567
+    - type: precision_at_1
+      value: 22.546
+    - type: precision_at_10
+      value: 7.367999999999999
+    - type: precision_at_100
+      value: 0.968
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 15.078
+    - type: precision_at_5
+      value: 11.394
+    - type: recall_at_1
+      value: 22.546
+    - type: recall_at_10
+      value: 73.68400000000001
+    - type: recall_at_100
+      value: 96.799
+    - type: recall_at_1000
+      value: 99.431
+    - type: recall_at_3
+      value: 45.235
+    - type: recall_at_5
+      value: 56.97
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 39.643731613769525
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 29.63510872385387
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 55.581954717688454
+    - type: mrr
+      value: 69.65857626522447
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.65184787408168
+    - type: cos_sim_spearman
+      value: 76.59391391898701
+    - type: euclidean_pearson
+      value: 78.27369147487082
+    - type: euclidean_spearman
+      value: 76.59391391898701
+    - type: manhattan_pearson
+      value: 78.35436546555296
+    - type: manhattan_spearman
+      value: 76.41258448606804
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.67532467532469
+    - type: f1
+      value: 74.96407787263568
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 34.80818669258118
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 27.110794795227715
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+    metrics:
+    - type: map_at_1
+      value: 22.831000000000003
+    - type: map_at_10
+      value: 30.358
+    - type: map_at_100
+      value: 31.708
+    - type: map_at_1000
+      value: 31.857999999999997
+    - type: map_at_3
+      value: 27.721
+    - type: map_at_5
+      value: 29.054000000000002
+    - type: mrr_at_1
+      value: 29.041
+    - type: mrr_at_10
+      value: 36.405
+    - type: mrr_at_100
+      value: 37.358000000000004
+    - type: mrr_at_1000
+      value: 37.419999999999995
+    - type: mrr_at_3
+      value: 34.335
+    - type: mrr_at_5
+      value: 35.365
+    - type: ndcg_at_1
+      value: 29.041
+    - type: ndcg_at_10
+      value: 35.673
+    - type: ndcg_at_100
+      value: 41.432
+    - type: ndcg_at_1000
+      value: 44.372
+    - type: ndcg_at_3
+      value: 31.707
+    - type: ndcg_at_5
+      value: 33.147999999999996
+    - type: precision_at_1
+      value: 29.041
+    - type: precision_at_10
+      value: 6.895999999999999
+    - type: precision_at_100
+      value: 1.237
+    - type: precision_at_1000
+      value: 0.181
+    - type: precision_at_3
+      value: 15.212
+    - type: precision_at_5
+      value: 10.901
+    - type: recall_at_1
+      value: 22.831000000000003
+    - type: recall_at_10
+      value: 45.234
+    - type: recall_at_100
+      value: 70.658
+    - type: recall_at_1000
+      value: 90.70700000000001
+    - type: recall_at_3
+      value: 32.729
+    - type: recall_at_5
+      value: 37.242
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+    metrics:
+    - type: map_at_1
+      value: 18.834
+    - type: map_at_10
+      value: 25.796999999999997
+    - type: map_at_100
+      value: 26.881
+    - type: map_at_1000
+      value: 27.004
+    - type: map_at_3
+      value: 23.857999999999997
+    - type: map_at_5
+      value: 24.89
+    - type: mrr_at_1
+      value: 24.204
+    - type: mrr_at_10
+      value: 30.529
+    - type: mrr_at_100
+      value: 31.386999999999997
+    - type: mrr_at_1000
+      value: 31.456
+    - type: mrr_at_3
+      value: 28.715000000000003
+    - type: mrr_at_5
+      value: 29.658
+    - type: ndcg_at_1
+      value: 24.204
+    - type: ndcg_at_10
+      value: 30.053
+    - type: ndcg_at_100
+      value: 34.826
+    - type: ndcg_at_1000
+      value: 37.557
+    - type: ndcg_at_3
+      value: 26.927
+    - type: ndcg_at_5
+      value: 28.205999999999996
+    - type: precision_at_1
+      value: 24.204
+    - type: precision_at_10
+      value: 5.561
+    - type: precision_at_100
+      value: 1.011
+    - type: precision_at_1000
+      value: 0.152
+    - type: precision_at_3
+      value: 12.994
+    - type: precision_at_5
+      value: 9.107999999999999
+    - type: recall_at_1
+      value: 18.834
+    - type: recall_at_10
+      value: 38.022
+    - type: recall_at_100
+      value: 58.587
+    - type: recall_at_1000
+      value: 76.953
+    - type: recall_at_3
+      value: 28.777
+    - type: recall_at_5
+      value: 32.372
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+    metrics:
+    - type: map_at_1
+      value: 28.138999999999996
+    - type: map_at_10
+      value: 37.378
+    - type: map_at_100
+      value: 38.576
+    - type: map_at_1000
+      value: 38.673
+    - type: map_at_3
+      value: 34.733000000000004
+    - type: map_at_5
+      value: 36.083999999999996
+    - type: mrr_at_1
+      value: 32.414
+    - type: mrr_at_10
+      value: 40.589999999999996
+    - type: mrr_at_100
+      value: 41.519
+    - type: mrr_at_1000
+      value: 41.577999999999996
+    - type: mrr_at_3
+      value: 38.213
+    - type: mrr_at_5
+      value: 39.428999999999995
+    - type: ndcg_at_1
+      value: 32.414
+    - type: ndcg_at_10
+      value: 42.501
+    - type: ndcg_at_100
+      value: 47.715
+    - type: ndcg_at_1000
+      value: 49.899
+    - type: ndcg_at_3
+      value: 37.595
+    - type: ndcg_at_5
+      value: 39.653
+    - type: precision_at_1
+      value: 32.414
+    - type: precision_at_10
+      value: 6.978
+    - type: precision_at_100
+      value: 1.054
+    - type: precision_at_1000
+      value: 0.131
+    - type: precision_at_3
+      value: 16.761
+    - type: precision_at_5
+      value: 11.498
+    - type: recall_at_1
+      value: 28.138999999999996
+    - type: recall_at_10
+      value: 54.803999999999995
+    - type: recall_at_100
+      value: 77.648
+    - type: recall_at_1000
+      value: 93.545
+    - type: recall_at_3
+      value: 41.323
+    - type: recall_at_5
+      value: 46.489999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+    metrics:
+    - type: map_at_1
+      value: 13.864
+    - type: map_at_10
+      value: 18.775
+    - type: map_at_100
+      value: 19.706000000000003
+    - type: map_at_1000
+      value: 19.822
+    - type: map_at_3
+      value: 17.314
+    - type: map_at_5
+      value: 18.028
+    - type: mrr_at_1
+      value: 14.915000000000001
+    - type: mrr_at_10
+      value: 20.095
+    - type: mrr_at_100
+      value: 20.992
+    - type: mrr_at_1000
+      value: 21.092
+    - type: mrr_at_3
+      value: 18.587999999999997
+    - type: mrr_at_5
+      value: 19.271
+    - type: ndcg_at_1
+      value: 14.915000000000001
+    - type: ndcg_at_10
+      value: 21.811
+    - type: ndcg_at_100
+      value: 26.656000000000002
+    - type: ndcg_at_1000
+      value: 30.009000000000004
+    - type: ndcg_at_3
+      value: 18.790000000000003
+    - type: ndcg_at_5
+      value: 20.009
+    - type: precision_at_1
+      value: 14.915000000000001
+    - type: precision_at_10
+      value: 3.401
+    - type: precision_at_100
+      value: 0.623
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 8.06
+    - type: precision_at_5
+      value: 5.537
+    - type: recall_at_1
+      value: 13.864
+    - type: recall_at_10
+      value: 29.914
+    - type: recall_at_100
+      value: 52.580000000000005
+    - type: recall_at_1000
+      value: 78.648
+    - type: recall_at_3
+      value: 21.586
+    - type: recall_at_5
+      value: 24.58
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+    metrics:
+    - type: map_at_1
+      value: 7.223
+    - type: map_at_10
+      value: 12.272
+    - type: map_at_100
+      value: 13.252
+    - type: map_at_1000
+      value: 13.381000000000002
+    - type: map_at_3
+      value: 10.610999999999999
+    - type: map_at_5
+      value: 11.505
+    - type: mrr_at_1
+      value: 9.203999999999999
+    - type: mrr_at_10
+      value: 14.639
+    - type: mrr_at_100
+      value: 15.629000000000001
+    - type: mrr_at_1000
+      value: 15.733
+    - type: mrr_at_3
+      value: 12.852
+    - type: mrr_at_5
+      value: 13.797999999999998
+    - type: ndcg_at_1
+      value: 9.203999999999999
+    - type: ndcg_at_10
+      value: 15.543999999999999
+    - type: ndcg_at_100
+      value: 20.89
+    - type: ndcg_at_1000
+      value: 24.547
+    - type: ndcg_at_3
+      value: 12.264
+    - type: ndcg_at_5
+      value: 13.748
+    - type: precision_at_1
+      value: 9.203999999999999
+    - type: precision_at_10
+      value: 3.085
+    - type: precision_at_100
+      value: 0.688
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 6.095
+    - type: precision_at_5
+      value: 4.677
+    - type: recall_at_1
+      value: 7.223
+    - type: recall_at_10
+      value: 23.268
+    - type: recall_at_100
+      value: 47.452
+    - type: recall_at_1000
+      value: 74.69200000000001
+    - type: recall_at_3
+      value: 14.437
+    - type: recall_at_5
+      value: 18.007
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+    metrics:
+    - type: map_at_1
+      value: 19.661
+    - type: map_at_10
+      value: 26.145000000000003
+    - type: map_at_100
+      value: 27.477
+    - type: map_at_1000
+      value: 27.622999999999998
+    - type: map_at_3
+      value: 23.315
+    - type: map_at_5
+      value: 24.87
+    - type: mrr_at_1
+      value: 24.157999999999998
+    - type: mrr_at_10
+      value: 31.035
+    - type: mrr_at_100
+      value: 32.011
+    - type: mrr_at_1000
+      value: 32.086999999999996
+    - type: mrr_at_3
+      value: 28.199999999999996
+    - type: mrr_at_5
+      value: 29.769000000000002
+    - type: ndcg_at_1
+      value: 24.157999999999998
+    - type: ndcg_at_10
+      value: 31.249
+    - type: ndcg_at_100
+      value: 37.319
+    - type: ndcg_at_1000
+      value: 40.394999999999996
+    - type: ndcg_at_3
+      value: 26.184
+    - type: ndcg_at_5
+      value: 28.518
+    - type: precision_at_1
+      value: 24.157999999999998
+    - type: precision_at_10
+      value: 5.9479999999999995
+    - type: precision_at_100
+      value: 1.077
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 12.191
+    - type: precision_at_5
+      value: 9.142999999999999
+    - type: recall_at_1
+      value: 19.661
+    - type: recall_at_10
+      value: 41.959
+    - type: recall_at_100
+      value: 68.22399999999999
+    - type: recall_at_1000
+      value: 89.071
+    - type: recall_at_3
+      value: 27.617000000000004
+    - type: recall_at_5
+      value: 33.693
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+    metrics:
+    - type: map_at_1
+      value: 15.714
+    - type: map_at_10
+      value: 21.786
+    - type: map_at_100
+      value: 23.052
+    - type: map_at_1000
+      value: 23.186999999999998
+    - type: map_at_3
+      value: 19.286
+    - type: map_at_5
+      value: 20.699
+    - type: mrr_at_1
+      value: 19.064
+    - type: mrr_at_10
+      value: 25.576
+    - type: mrr_at_100
+      value: 26.613
+    - type: mrr_at_1000
+      value: 26.697
+    - type: mrr_at_3
+      value: 23.212
+    - type: mrr_at_5
+      value: 24.553
+    - type: ndcg_at_1
+      value: 19.064
+    - type: ndcg_at_10
+      value: 26.19
+    - type: ndcg_at_100
+      value: 32.019
+    - type: ndcg_at_1000
+      value: 35.323
+    - type: ndcg_at_3
+      value: 21.609
+    - type: ndcg_at_5
+      value: 23.747
+    - type: precision_at_1
+      value: 19.064
+    - type: precision_at_10
+      value: 5.045999999999999
+    - type: precision_at_100
+      value: 0.947
+    - type: precision_at_1000
+      value: 0.14100000000000001
+    - type: precision_at_3
+      value: 10.16
+    - type: precision_at_5
+      value: 7.693999999999999
+    - type: recall_at_1
+      value: 15.714
+    - type: recall_at_10
+      value: 35.846000000000004
+    - type: recall_at_100
+      value: 60.885
+    - type: recall_at_1000
+      value: 84.437
+    - type: recall_at_3
+      value: 23.357
+    - type: recall_at_5
+      value: 28.698
+  - task:
+      type: Retrieval
+    dataset:
+      type: mteb/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 15.797416666666667
+    - type: map_at_10
+      value: 21.674916666666668
+    - type: map_at_100
+      value: 22.73633333333333
+    - type: map_at_1000
+      value: 22.868583333333333
+    - type: map_at_3
+      value: 19.66508333333333
+    - type: map_at_5
+      value: 20.75133333333333
+    - type: mrr_at_1
+      value: 19.052333333333333
+    - type: mrr_at_10
+      value: 24.958083333333335
+    - type: mrr_at_100
+      value: 25.862666666666666
+    - type: mrr_at_1000
+      value: 25.95
+    - type: mrr_at_3
+      value: 23.02525
+    - type: mrr_at_5
+      value: 24.053166666666666
+    - type: ndcg_at_1
+      value: 19.052333333333333
+    - type: ndcg_at_10
+      value: 25.618249999999996
+    - type: ndcg_at_100
+      value: 30.751666666666665
+    - type: ndcg_at_1000
+      value: 33.93783333333333
+    - type: ndcg_at_3
+      value: 21.966166666666666
+    - type: ndcg_at_5
+      value: 23.569333333333333
+    - type: precision_at_1
+      value: 19.052333333333333
+    - type: precision_at_10
+      value: 4.6321666666666665
+    - type: precision_at_100
+      value: 0.8673333333333333
+    - type: precision_at_1000
+      value: 0.13283333333333333
+    - type: precision_at_3
+      value: 10.15075
+    - type: precision_at_5
+      value: 7.330416666666667
+    - type: recall_at_1
+      value: 15.797416666666667
+    - type: recall_at_10
+      value: 34.28000000000001
+    - type: recall_at_100
+      value: 57.498416666666664
+    - type: recall_at_1000
+      value: 80.52425000000001
+    - type: recall_at_3
+      value: 23.929416666666665
+    - type: recall_at_5
+      value: 28.09466666666667
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+    metrics:
+    - type: map_at_1
+      value: 11.323
+    - type: map_at_10
+      value: 17.07
+    - type: map_at_100
+      value: 17.849999999999998
+    - type: map_at_1000
+      value: 17.957
+    - type: map_at_3
+      value: 15.414
+    - type: map_at_5
+      value: 16.431
+    - type: mrr_at_1
+      value: 13.497
+    - type: mrr_at_10
+      value: 19.188
+    - type: mrr_at_100
+      value: 19.978
+    - type: mrr_at_1000
+      value: 20.071
+    - type: mrr_at_3
+      value: 17.663999999999998
+    - type: mrr_at_5
+      value: 18.538
+    - type: ndcg_at_1
+      value: 13.497
+    - type: ndcg_at_10
+      value: 20.485999999999997
+    - type: ndcg_at_100
+      value: 24.855
+    - type: ndcg_at_1000
+      value: 27.773999999999997
+    - type: ndcg_at_3
+      value: 17.399
+    - type: ndcg_at_5
+      value: 18.988
+    - type: precision_at_1
+      value: 13.497
+    - type: precision_at_10
+      value: 3.5740000000000003
+    - type: precision_at_100
+      value: 0.63
+    - type: precision_at_1000
+      value: 0.096
+    - type: precision_at_3
+      value: 8.129
+    - type: precision_at_5
+      value: 5.92
+    - type: recall_at_1
+      value: 11.323
+    - type: recall_at_10
+      value: 28.92
+    - type: recall_at_100
+      value: 49.75
+    - type: recall_at_1000
+      value: 71.492
+    - type: recall_at_3
+      value: 20.452
+    - type: recall_at_5
+      value: 24.346
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+    metrics:
+    - type: map_at_1
+      value: 8.625
+    - type: map_at_10
+      value: 12.41
+    - type: map_at_100
+      value: 13.200999999999999
+    - type: map_at_1000
+      value: 13.333999999999998
+    - type: map_at_3
+      value: 11.141
+    - type: map_at_5
+      value: 11.776
+    - type: mrr_at_1
+      value: 10.805
+    - type: mrr_at_10
+      value: 14.979999999999999
+    - type: mrr_at_100
+      value: 15.759
+    - type: mrr_at_1000
+      value: 15.867
+    - type: mrr_at_3
+      value: 13.569999999999999
+    - type: mrr_at_5
+      value: 14.316
+    - type: ndcg_at_1
+      value: 10.805
+    - type: ndcg_at_10
+      value: 15.129999999999999
+    - type: ndcg_at_100
+      value: 19.339000000000002
+    - type: ndcg_at_1000
+      value: 23.034
+    - type: ndcg_at_3
+      value: 12.661
+    - type: ndcg_at_5
+      value: 13.664000000000001
+    - type: precision_at_1
+      value: 10.805
+    - type: precision_at_10
+      value: 2.88
+    - type: precision_at_100
+      value: 0.5950000000000001
+    - type: precision_at_1000
+      value: 0.109
+    - type: precision_at_3
+      value: 6.091
+    - type: precision_at_5
+      value: 4.4319999999999995
+    - type: recall_at_1
+      value: 8.625
+    - type: recall_at_10
+      value: 20.924
+    - type: recall_at_100
+      value: 40.343
+    - type: recall_at_1000
+      value: 67.60199999999999
+    - type: recall_at_3
+      value: 13.963000000000001
+    - type: recall_at_5
+      value: 16.558999999999997
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+    metrics:
+    - type: map_at_1
+      value: 15.116999999999999
+    - type: map_at_10
+      value: 20.283
+    - type: map_at_100
+      value: 21.181
+    - type: map_at_1000
+      value: 21.318
+    - type: map_at_3
+      value: 18.528
+    - type: map_at_5
+      value: 19.506
+    - type: mrr_at_1
+      value: 17.91
+    - type: mrr_at_10
+      value: 23.399
+    - type: mrr_at_100
+      value: 24.254
+    - type: mrr_at_1000
+      value: 24.36
+    - type: mrr_at_3
+      value: 21.502
+    - type: mrr_at_5
+      value: 22.617
+    - type: ndcg_at_1
+      value: 17.91
+    - type: ndcg_at_10
+      value: 23.848
+    - type: ndcg_at_100
+      value: 28.63
+    - type: ndcg_at_1000
+      value: 32.236
+    - type: ndcg_at_3
+      value: 20.351
+    - type: ndcg_at_5
+      value: 21.992
+    - type: precision_at_1
+      value: 17.91
+    - type: precision_at_10
+      value: 4.011
+    - type: precision_at_100
+      value: 0.722
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_3
+      value: 9.049
+    - type: precision_at_5
+      value: 6.455
+    - type: recall_at_1
+      value: 15.116999999999999
+    - type: recall_at_10
+      value: 31.911
+    - type: recall_at_100
+      value: 53.791999999999994
+    - type: recall_at_1000
+      value: 79.997
+    - type: recall_at_3
+      value: 22.229
+    - type: recall_at_5
+      value: 26.366
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+    metrics:
+    - type: map_at_1
+      value: 15.415999999999999
+    - type: map_at_10
+      value: 21.364
+    - type: map_at_100
+      value: 22.631
+    - type: map_at_1000
+      value: 22.832
+    - type: map_at_3
+      value: 19.139999999999997
+    - type: map_at_5
+      value: 20.549
+    - type: mrr_at_1
+      value: 19.368
+    - type: mrr_at_10
+      value: 25.218
+    - type: mrr_at_100
+      value: 26.135
+    - type: mrr_at_1000
+      value: 26.218999999999998
+    - type: mrr_at_3
+      value: 23.155
+    - type: mrr_at_5
+      value: 24.371000000000002
+    - type: ndcg_at_1
+      value: 19.368
+    - type: ndcg_at_10
+      value: 25.715
+    - type: ndcg_at_100
+      value: 31.291999999999998
+    - type: ndcg_at_1000
+      value: 34.757
+    - type: ndcg_at_3
+      value: 22.131999999999998
+    - type: ndcg_at_5
+      value: 24.018
+    - type: precision_at_1
+      value: 19.368
+    - type: precision_at_10
+      value: 5.138
+    - type: precision_at_100
+      value: 1.229
+    - type: precision_at_1000
+      value: 0.209
+    - type: precision_at_3
+      value: 10.474
+    - type: precision_at_5
+      value: 7.904999999999999
+    - type: recall_at_1
+      value: 15.415999999999999
+    - type: recall_at_10
+      value: 33.83
+    - type: recall_at_100
+      value: 60.19799999999999
+    - type: recall_at_1000
+      value: 83.88600000000001
+    - type: recall_at_3
+      value: 23.018
+    - type: recall_at_5
+      value: 28.37
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+    metrics:
+    - type: map_at_1
+      value: 12.822
+    - type: map_at_10
+      value: 16.461000000000002
+    - type: map_at_100
+      value: 17.321
+    - type: map_at_1000
+      value: 17.434
+    - type: map_at_3
+      value: 14.92
+    - type: map_at_5
+      value: 15.623999999999999
+    - type: mrr_at_1
+      value: 14.048
+    - type: mrr_at_10
+      value: 17.843
+    - type: mrr_at_100
+      value: 18.717
+    - type: mrr_at_1000
+      value: 18.82
+    - type: mrr_at_3
+      value: 16.297
+    - type: mrr_at_5
+      value: 16.953
+    - type: ndcg_at_1
+      value: 14.048
+    - type: ndcg_at_10
+      value: 19.219
+    - type: ndcg_at_100
+      value: 24.047
+    - type: ndcg_at_1000
+      value: 27.351
+    - type: ndcg_at_3
+      value: 15.975
+    - type: ndcg_at_5
+      value: 17.141000000000002
+    - type: precision_at_1
+      value: 14.048
+    - type: precision_at_10
+      value: 3.068
+    - type: precision_at_100
+      value: 0.5950000000000001
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 6.593
+    - type: precision_at_5
+      value: 4.695
+    - type: recall_at_1
+      value: 12.822
+    - type: recall_at_10
+      value: 26.728
+    - type: recall_at_100
+      value: 49.864000000000004
+    - type: recall_at_1000
+      value: 75.261
+    - type: recall_at_3
+      value: 17.665
+    - type: recall_at_5
+      value: 20.413
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+    metrics:
+    - type: map_at_1
+      value: 8.301
+    - type: map_at_10
+      value: 14.709
+    - type: map_at_100
+      value: 16.396
+    - type: map_at_1000
+      value: 16.606
+    - type: map_at_3
+      value: 11.987
+    - type: map_at_5
+      value: 13.401
+    - type: mrr_at_1
+      value: 19.088
+    - type: mrr_at_10
+      value: 29.421999999999997
+    - type: mrr_at_100
+      value: 30.517
+    - type: mrr_at_1000
+      value: 30.568
+    - type: mrr_at_3
+      value: 25.646
+    - type: mrr_at_5
+      value: 27.897
+    - type: ndcg_at_1
+      value: 19.088
+    - type: ndcg_at_10
+      value: 21.851000000000003
+    - type: ndcg_at_100
+      value: 29.093999999999998
+    - type: ndcg_at_1000
+      value: 33.101
+    - type: ndcg_at_3
+      value: 16.862
+    - type: ndcg_at_5
+      value: 18.790000000000003
+    - type: precision_at_1
+      value: 19.088
+    - type: precision_at_10
+      value: 7.244000000000001
+    - type: precision_at_100
+      value: 1.496
+    - type: precision_at_1000
+      value: 0.22300000000000003
+    - type: precision_at_3
+      value: 12.812000000000001
+    - type: precision_at_5
+      value: 10.41
+    - type: recall_at_1
+      value: 8.301
+    - type: recall_at_10
+      value: 27.49
+    - type: recall_at_100
+      value: 52.937999999999995
+    - type: recall_at_1000
+      value: 75.79599999999999
+    - type: recall_at_3
+      value: 15.603
+    - type: recall_at_5
+      value: 20.612
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+    metrics:
+    - type: map_at_1
+      value: 5.576
+    - type: map_at_10
+      value: 11.394
+    - type: map_at_100
+      value: 16.276
+    - type: map_at_1000
+      value: 17.459
+    - type: map_at_3
+      value: 8.269
+    - type: map_at_5
+      value: 9.711
+    - type: mrr_at_1
+      value: 47.25
+    - type: mrr_at_10
+      value: 57.201
+    - type: mrr_at_100
+      value: 57.727
+    - type: mrr_at_1000
+      value: 57.751
+    - type: mrr_at_3
+      value: 54.458
+    - type: mrr_at_5
+      value: 56.421
+    - type: ndcg_at_1
+      value: 35.25
+    - type: ndcg_at_10
+      value: 26.617
+    - type: ndcg_at_100
+      value: 30.952
+    - type: ndcg_at_1000
+      value: 38.287
+    - type: ndcg_at_3
+      value: 29.814
+    - type: ndcg_at_5
+      value: 28.436
+    - type: precision_at_1
+      value: 47.25
+    - type: precision_at_10
+      value: 23.175
+    - type: precision_at_100
+      value: 7.6450000000000005
+    - type: precision_at_1000
+      value: 1.624
+    - type: precision_at_3
+      value: 35.667
+    - type: precision_at_5
+      value: 30.65
+    - type: recall_at_1
+      value: 5.576
+    - type: recall_at_10
+      value: 15.804000000000002
+    - type: recall_at_100
+      value: 38.086
+    - type: recall_at_1000
+      value: 63.034
+    - type: recall_at_3
+      value: 9.407
+    - type: recall_at_5
+      value: 12.247
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 47.21
+    - type: f1
+      value: 43.021356364911156
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+    metrics:
+    - type: map_at_1
+      value: 17.775
+    - type: map_at_10
+      value: 27.131
+    - type: map_at_100
+      value: 28.186
+    - type: map_at_1000
+      value: 28.255999999999997
+    - type: map_at_3
+      value: 24.198
+    - type: map_at_5
+      value: 25.907000000000004
+    - type: mrr_at_1
+      value: 19.006999999999998
+    - type: mrr_at_10
+      value: 28.769
+    - type: mrr_at_100
+      value: 29.809
+    - type: mrr_at_1000
+      value: 29.866
+    - type: mrr_at_3
+      value: 25.773000000000003
+    - type: mrr_at_5
+      value: 27.51
+    - type: ndcg_at_1
+      value: 19.006999999999998
+    - type: ndcg_at_10
+      value: 32.698
+    - type: ndcg_at_100
+      value: 37.891999999999996
+    - type: ndcg_at_1000
+      value: 39.728
+    - type: ndcg_at_3
+      value: 26.680999999999997
+    - type: ndcg_at_5
+      value: 29.73
+    - type: precision_at_1
+      value: 19.006999999999998
+    - type: precision_at_10
+      value: 5.2909999999999995
+    - type: precision_at_100
+      value: 0.8049999999999999
+    - type: precision_at_1000
+      value: 0.098
+    - type: precision_at_3
+      value: 11.616
+    - type: precision_at_5
+      value: 8.554
+    - type: recall_at_1
+      value: 17.775
+    - type: recall_at_10
+      value: 48.603
+    - type: recall_at_100
+      value: 72.465
+    - type: recall_at_1000
+      value: 86.509
+    - type: recall_at_3
+      value: 32.26
+    - type: recall_at_5
+      value: 39.589999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+    metrics:
+    - type: map_at_1
+      value: 8.584
+    - type: map_at_10
+      value: 13.774000000000001
+    - type: map_at_100
+      value: 15.247
+    - type: map_at_1000
+      value: 15.468000000000002
+    - type: map_at_3
+      value: 11.779
+    - type: map_at_5
+      value: 12.732
+    - type: mrr_at_1
+      value: 16.512
+    - type: mrr_at_10
+      value: 23.016000000000002
+    - type: mrr_at_100
+      value: 24.276
+    - type: mrr_at_1000
+      value: 24.362000000000002
+    - type: mrr_at_3
+      value: 20.756
+    - type: mrr_at_5
+      value: 21.852
+    - type: ndcg_at_1
+      value: 16.512
+    - type: ndcg_at_10
+      value: 18.604000000000003
+    - type: ndcg_at_100
+      value: 25.298
+    - type: ndcg_at_1000
+      value: 29.803
+    - type: ndcg_at_3
+      value: 15.790000000000001
+    - type: ndcg_at_5
+      value: 16.614
+    - type: precision_at_1
+      value: 16.512
+    - type: precision_at_10
+      value: 5.293
+    - type: precision_at_100
+      value: 1.17
+    - type: precision_at_1000
+      value: 0.196
+    - type: precision_at_3
+      value: 10.237
+    - type: precision_at_5
+      value: 7.7780000000000005
+    - type: recall_at_1
+      value: 8.584
+    - type: recall_at_10
+      value: 23.685000000000002
+    - type: recall_at_100
+      value: 49.461
+    - type: recall_at_1000
+      value: 76.972
+    - type: recall_at_3
+      value: 14.657
+    - type: recall_at_5
+      value: 17.861
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+    metrics:
+    - type: map_at_1
+      value: 19.662
+    - type: map_at_10
+      value: 28.195999999999998
+    - type: map_at_100
+      value: 29.21
+    - type: map_at_1000
+      value: 29.322
+    - type: map_at_3
+      value: 25.852999999999998
+    - type: map_at_5
+      value: 27.121000000000002
+    - type: mrr_at_1
+      value: 39.324999999999996
+    - type: mrr_at_10
+      value: 47.083999999999996
+    - type: mrr_at_100
+      value: 47.805
+    - type: mrr_at_1000
+      value: 47.853
+    - type: mrr_at_3
+      value: 44.913
+    - type: mrr_at_5
+      value: 46.132
+    - type: ndcg_at_1
+      value: 39.324999999999996
+    - type: ndcg_at_10
+      value: 35.766999999999996
+    - type: ndcg_at_100
+      value: 40.306
+    - type: ndcg_at_1000
+      value: 42.870000000000005
+    - type: ndcg_at_3
+      value: 31.395
+    - type: ndcg_at_5
+      value: 33.469
+    - type: precision_at_1
+      value: 39.324999999999996
+    - type: precision_at_10
+      value: 7.933999999999999
+    - type: precision_at_100
+      value: 1.157
+    - type: precision_at_1000
+      value: 0.15
+    - type: precision_at_3
+      value: 19.855999999999998
+    - type: precision_at_5
+      value: 13.556000000000001
+    - type: recall_at_1
+      value: 19.662
+    - type: recall_at_10
+      value: 39.669
+    - type: recall_at_100
+      value: 57.833
+    - type: recall_at_1000
+      value: 74.929
+    - type: recall_at_3
+      value: 29.784
+    - type: recall_at_5
+      value: 33.889
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 68.03079999999999
+    - type: ap
+      value: 62.45465282637356
+    - type: f1
+      value: 67.82133366706746
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+    metrics:
+    - type: map_at_1
+      value: 7.297
+    - type: map_at_10
+      value: 12.847
+    - type: map_at_100
+      value: 13.872000000000002
+    - type: map_at_1000
+      value: 13.987
+    - type: map_at_3
+      value: 10.741
+    - type: map_at_5
+      value: 11.838999999999999
+    - type: mrr_at_1
+      value: 7.536
+    - type: mrr_at_10
+      value: 13.157
+    - type: mrr_at_100
+      value: 14.184
+    - type: mrr_at_1000
+      value: 14.295
+    - type: mrr_at_3
+      value: 11.020000000000001
+    - type: mrr_at_5
+      value: 12.133
+    - type: ndcg_at_1
+      value: 7.507
+    - type: ndcg_at_10
+      value: 16.374
+    - type: ndcg_at_100
+      value: 22.039
+    - type: ndcg_at_1000
+      value: 25.380999999999997
+    - type: ndcg_at_3
+      value: 11.935
+    - type: ndcg_at_5
+      value: 13.919999999999998
+    - type: precision_at_1
+      value: 7.507
+    - type: precision_at_10
+      value: 2.8449999999999998
+    - type: precision_at_100
+      value: 0.581
+    - type: precision_at_1000
+      value: 0.087
+    - type: precision_at_3
+      value: 5.191
+    - type: precision_at_5
+      value: 4.112
+    - type: recall_at_1
+      value: 7.297
+    - type: recall_at_10
+      value: 27.450999999999997
+    - type: recall_at_100
+      value: 55.215
+    - type: recall_at_1000
+      value: 81.878
+    - type: recall_at_3
+      value: 15.143
+    - type: recall_at_5
+      value: 19.922
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 91.23347013223893
+    - type: f1
+      value: 90.37745005574784
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 60.43775649794802
+    - type: f1
+      value: 41.826394298669705
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 65.53799596503026
+    - type: f1
+      value: 63.37514998537075
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 72.92535305985206
+    - type: f1
+      value: 72.01043365342854
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.093053205851135
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 27.838169401102558
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 31.012335830272843
+    - type: mrr
+      value: 32.04656357642063
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+    metrics:
+    - type: map_at_1
+      value: 4.865
+    - type: map_at_10
+      value: 9.599
+    - type: map_at_100
+      value: 12.466000000000001
+    - type: map_at_1000
+      value: 13.935
+    - type: map_at_3
+      value: 7.260999999999999
+    - type: map_at_5
+      value: 8.526
+    - type: mrr_at_1
+      value: 38.080000000000005
+    - type: mrr_at_10
+      value: 47.695
+    - type: mrr_at_100
+      value: 48.304
+    - type: mrr_at_1000
+      value: 48.351
+    - type: mrr_at_3
+      value: 45.098
+    - type: mrr_at_5
+      value: 46.569
+    - type: ndcg_at_1
+      value: 36.223
+    - type: ndcg_at_10
+      value: 28.582
+    - type: ndcg_at_100
+      value: 27.229
+    - type: ndcg_at_1000
+      value: 36.643
+    - type: ndcg_at_3
+      value: 32.653
+    - type: ndcg_at_5
+      value: 31.215
+    - type: precision_at_1
+      value: 38.080000000000005
+    - type: precision_at_10
+      value: 21.207
+    - type: precision_at_100
+      value: 7.498
+    - type: precision_at_1000
+      value: 2.104
+    - type: precision_at_3
+      value: 30.65
+    - type: precision_at_5
+      value: 27.059
+    - type: recall_at_1
+      value: 4.865
+    - type: recall_at_10
+      value: 13.614
+    - type: recall_at_100
+      value: 29.659999999999997
+    - type: recall_at_1000
+      value: 63.172
+    - type: recall_at_3
+      value: 8.248
+    - type: recall_at_5
+      value: 10.684000000000001
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+    metrics:
+    - type: map_at_1
+      value: 10.581
+    - type: map_at_10
+      value: 18.221
+    - type: map_at_100
+      value: 19.637999999999998
+    - type: map_at_1000
+      value: 19.737
+    - type: map_at_3
+      value: 15.341
+    - type: map_at_5
+      value: 16.943
+    - type: mrr_at_1
+      value: 12.051
+    - type: mrr_at_10
+      value: 20.102
+    - type: mrr_at_100
+      value: 21.385
+    - type: mrr_at_1000
+      value: 21.465
+    - type: mrr_at_3
+      value: 17.159
+    - type: mrr_at_5
+      value: 18.851000000000003
+    - type: ndcg_at_1
+      value: 12.051
+    - type: ndcg_at_10
+      value: 23.267
+    - type: ndcg_at_100
+      value: 30.211
+    - type: ndcg_at_1000
+      value: 32.878
+    - type: ndcg_at_3
+      value: 17.354
+    - type: ndcg_at_5
+      value: 20.247999999999998
+    - type: precision_at_1
+      value: 12.051
+    - type: precision_at_10
+      value: 4.356999999999999
+    - type: precision_at_100
+      value: 0.827
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 8.266
+    - type: precision_at_5
+      value: 6.553000000000001
+    - type: recall_at_1
+      value: 10.581
+    - type: recall_at_10
+      value: 37.119
+    - type: recall_at_100
+      value: 68.89699999999999
+    - type: recall_at_1000
+      value: 89.354
+    - type: recall_at_3
+      value: 21.404999999999998
+    - type: recall_at_5
+      value: 28.194000000000003
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 66.119
+    - type: map_at_10
+      value: 79.611
+    - type: map_at_100
+      value: 80.354
+    - type: map_at_1000
+      value: 80.38
+    - type: map_at_3
+      value: 76.606
+    - type: map_at_5
+      value: 78.485
+    - type: mrr_at_1
+      value: 76.12
+    - type: mrr_at_10
+      value: 83.328
+    - type: mrr_at_100
+      value: 83.499
+    - type: mrr_at_1000
+      value: 83.502
+    - type: mrr_at_3
+      value: 82.00699999999999
+    - type: mrr_at_5
+      value: 82.89699999999999
+    - type: ndcg_at_1
+      value: 76.22
+    - type: ndcg_at_10
+      value: 84.051
+    - type: ndcg_at_100
+      value: 85.797
+    - type: ndcg_at_1000
+      value: 86.007
+    - type: ndcg_at_3
+      value: 80.646
+    - type: ndcg_at_5
+      value: 82.50800000000001
+    - type: precision_at_1
+      value: 76.22
+    - type: precision_at_10
+      value: 12.76
+    - type: precision_at_100
+      value: 1.5010000000000001
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 35.160000000000004
+    - type: precision_at_5
+      value: 23.264000000000003
+    - type: recall_at_1
+      value: 66.119
+    - type: recall_at_10
+      value: 92.664
+    - type: recall_at_100
+      value: 98.863
+    - type: recall_at_1000
+      value: 99.91
+    - type: recall_at_3
+      value: 82.994
+    - type: recall_at_5
+      value: 88.119
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 43.342566470284666
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 51.11469484366251
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.2680000000000002
+    - type: map_at_10
+      value: 8.579
+    - type: map_at_100
+      value: 10.421999999999999
+    - type: map_at_1000
+      value: 10.737
+    - type: map_at_3
+      value: 6.0040000000000004
+    - type: map_at_5
+      value: 7.26
+    - type: mrr_at_1
+      value: 16.0
+    - type: mrr_at_10
+      value: 26.185000000000002
+    - type: mrr_at_100
+      value: 27.439000000000004
+    - type: mrr_at_1000
+      value: 27.511999999999997
+    - type: mrr_at_3
+      value: 22.917
+    - type: mrr_at_5
+      value: 24.642
+    - type: ndcg_at_1
+      value: 16.0
+    - type: ndcg_at_10
+      value: 15.232000000000001
+    - type: ndcg_at_100
+      value: 23.047
+    - type: ndcg_at_1000
+      value: 28.774
+    - type: ndcg_at_3
+      value: 13.834
+    - type: ndcg_at_5
+      value: 12.304
+    - type: precision_at_1
+      value: 16.0
+    - type: precision_at_10
+      value: 8.19
+    - type: precision_at_100
+      value: 1.958
+    - type: precision_at_1000
+      value: 0.333
+    - type: precision_at_3
+      value: 13.167000000000002
+    - type: precision_at_5
+      value: 11.06
+    - type: recall_at_1
+      value: 3.2680000000000002
+    - type: recall_at_10
+      value: 16.563
+    - type: recall_at_100
+      value: 39.708
+    - type: recall_at_1000
+      value: 67.60199999999999
+    - type: recall_at_3
+      value: 8.018
+    - type: recall_at_5
+      value: 11.193
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.76771912274579
+    - type: cos_sim_spearman
+      value: 68.21965433585433
+    - type: euclidean_pearson
+      value: 73.41725536408647
+    - type: euclidean_spearman
+      value: 68.21970849513703
+    - type: manhattan_pearson
+      value: 73.07310010299138
+    - type: manhattan_spearman
+      value: 68.02842343011922
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.24856339472711
+    - type: cos_sim_spearman
+      value: 68.13233535199409
+    - type: euclidean_pearson
+      value: 72.83173400932682
+    - type: euclidean_spearman
+      value: 68.13353961544857
+    - type: manhattan_pearson
+      value: 72.364020033214
+    - type: manhattan_spearman
+      value: 67.96817473009628
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 78.11822706559114
+    - type: cos_sim_spearman
+      value: 78.82692788488787
+    - type: euclidean_pearson
+      value: 78.42176146428962
+    - type: euclidean_spearman
+      value: 78.82696569079468
+    - type: manhattan_pearson
+      value: 77.94207608371939
+    - type: manhattan_spearman
+      value: 78.30672557882981
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.37520382719511
+    - type: cos_sim_spearman
+      value: 75.09236770903914
+    - type: euclidean_pearson
+      value: 77.94076407783429
+    - type: euclidean_spearman
+      value: 75.0923580173567
+    - type: manhattan_pearson
+      value: 77.739191296084
+    - type: manhattan_spearman
+      value: 74.9480210937594
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.9584878497231
+    - type: cos_sim_spearman
+      value: 83.58865804953194
+    - type: euclidean_pearson
+      value: 83.32064366874845
+    - type: euclidean_spearman
+      value: 83.58865650778534
+    - type: manhattan_pearson
+      value: 83.17898835151296
+    - type: manhattan_spearman
+      value: 83.45146824277634
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.40206220271352
+    - type: cos_sim_spearman
+      value: 78.18587292841029
+    - type: euclidean_pearson
+      value: 77.63109474603048
+    - type: euclidean_spearman
+      value: 78.18586561703366
+    - type: manhattan_pearson
+      value: 77.56336963431791
+    - type: manhattan_spearman
+      value: 78.13426002359485
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 86.28987235462407
+    - type: cos_sim_spearman
+      value: 86.91762382232156
+    - type: euclidean_pearson
+      value: 86.05340443036164
+    - type: euclidean_spearman
+      value: 86.91849630883524
+    - type: manhattan_pearson
+      value: 85.98189959096196
+    - type: manhattan_spearman
+      value: 86.94471215865201
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 61.248533592592025
+    - type: cos_sim_spearman
+      value: 61.25674726411208
+    - type: euclidean_pearson
+      value: 62.668232482670724
+    - type: euclidean_spearman
+      value: 61.25674726411208
+    - type: manhattan_pearson
+      value: 62.217580952381915
+    - type: manhattan_spearman
+      value: 60.77021894786932
+  - task:
+      type: STS
+    dataset:
+      type: None
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.84077621570408
+    - type: cos_sim_spearman
+      value: 79.26302777438052
+    - type: euclidean_pearson
+      value: 80.5028036765331
+    - type: euclidean_spearman
+      value: 79.26304623849835
+    - type: manhattan_pearson
+      value: 80.45325721545979
+    - type: manhattan_spearman
+      value: 79.22021810584245
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 79.71971528163719
+    - type: mrr
+      value: 94.15308003543299
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+    metrics:
+    - type: map_at_1
+      value: 36.611
+    - type: map_at_10
+      value: 46.424
+    - type: map_at_100
+      value: 47.347
+    - type: map_at_1000
+      value: 47.404
+    - type: map_at_3
+      value: 43.153000000000006
+    - type: map_at_5
+      value: 45.024
+    - type: mrr_at_1
+      value: 39.0
+    - type: mrr_at_10
+      value: 48.423
+    - type: mrr_at_100
+      value: 49.126
+    - type: mrr_at_1000
+      value: 49.179
+    - type: mrr_at_3
+      value: 45.389
+    - type: mrr_at_5
+      value: 47.221999999999994
+    - type: ndcg_at_1
+      value: 39.0
+    - type: ndcg_at_10
+      value: 52.142999999999994
+    - type: ndcg_at_100
+      value: 56.606
+    - type: ndcg_at_1000
+      value: 57.894
+    - type: ndcg_at_3
+      value: 45.611000000000004
+    - type: ndcg_at_5
+      value: 48.85
+    - type: precision_at_1
+      value: 39.0
+    - type: precision_at_10
+      value: 7.467
+    - type: precision_at_100
+      value: 1.0030000000000001
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 18.111
+    - type: precision_at_5
+      value: 12.6
+    - type: recall_at_1
+      value: 36.611
+    - type: recall_at_10
+      value: 68.289
+    - type: recall_at_100
+      value: 89.267
+    - type: recall_at_1000
+      value: 98.867
+    - type: recall_at_3
+      value: 50.471999999999994
+    - type: recall_at_5
+      value: 58.289
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.72475247524753
+    - type: cos_sim_ap
+      value: 92.0612887387195
+    - type: cos_sim_f1
+      value: 85.78528827037775
+    - type: cos_sim_precision
+      value: 85.27667984189723
+    - type: cos_sim_recall
+      value: 86.3
+    - type: dot_accuracy
+      value: 99.72475247524753
+    - type: dot_ap
+      value: 92.0612887387195
+    - type: dot_f1
+      value: 85.78528827037775
+    - type: dot_precision
+      value: 85.27667984189723
+    - type: dot_recall
+      value: 86.3
+    - type: euclidean_accuracy
+      value: 99.72475247524753
+    - type: euclidean_ap
+      value: 92.0612887387195
+    - type: euclidean_f1
+      value: 85.78528827037775
+    - type: euclidean_precision
+      value: 85.27667984189723
+    - type: euclidean_recall
+      value: 86.3
+    - type: manhattan_accuracy
+      value: 99.72475247524753
+    - type: manhattan_ap
+      value: 92.11384029855155
+    - type: manhattan_f1
+      value: 85.75595527467186
+    - type: manhattan_precision
+      value: 83.44370860927152
+    - type: manhattan_recall
+      value: 88.2
+    - type: max_accuracy
+      value: 99.72475247524753
+    - type: max_ap
+      value: 92.11384029855155
+    - type: max_f1
+      value: 85.78528827037775
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 51.43694167734459
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 30.99750013836291
+  - task:
+      type: Reranking
+    dataset:
+      type: None
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 44.11670648850121
+    - type: mrr
+      value: 44.651265809354044
+  - task:
+      type: Summarization
+    dataset:
+      type: None
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 29.82538139718491
+    - type: cos_sim_spearman
+      value: 30.223708279486612
+    - type: dot_pearson
+      value: 29.8253813971849
+    - type: dot_spearman
+      value: 30.26388644272319
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.161
+    - type: map_at_10
+      value: 1.171
+    - type: map_at_100
+      value: 6.306000000000001
+    - type: map_at_1000
+      value: 16.732
+    - type: map_at_3
+      value: 0.432
+    - type: map_at_5
+      value: 0.645
+    - type: mrr_at_1
+      value: 57.99999999999999
+    - type: mrr_at_10
+      value: 72.32499999999999
+    - type: mrr_at_100
+      value: 72.458
+    - type: mrr_at_1000
+      value: 72.458
+    - type: mrr_at_3
+      value: 69.667
+    - type: mrr_at_5
+      value: 71.56700000000001
+    - type: ndcg_at_1
+      value: 53.0
+    - type: ndcg_at_10
+      value: 52.207
+    - type: ndcg_at_100
+      value: 40.717
+    - type: ndcg_at_1000
+      value: 38.254
+    - type: ndcg_at_3
+      value: 57.553
+    - type: ndcg_at_5
+      value: 53.795
+    - type: precision_at_1
+      value: 60.0
+    - type: precision_at_10
+      value: 56.599999999999994
+    - type: precision_at_100
+      value: 42.84
+    - type: precision_at_1000
+      value: 18.386
+    - type: precision_at_3
+      value: 63.333
+    - type: precision_at_5
+      value: 57.99999999999999
+    - type: recall_at_1
+      value: 0.161
+    - type: recall_at_10
+      value: 1.434
+    - type: recall_at_100
+      value: 9.454
+    - type: recall_at_1000
+      value: 37.175000000000004
+    - type: recall_at_3
+      value: 0.477
+    - type: recall_at_5
+      value: 0.735
+  - task:
+      type: Retrieval
+    dataset:
+      type: None
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+    metrics:
+    - type: map_at_1
+      value: 2.144
+    - type: map_at_10
+      value: 8.538
+    - type: map_at_100
+      value: 14.526
+    - type: map_at_1000
+      value: 16.253
+    - type: map_at_3
+      value: 3.721
+    - type: map_at_5
+      value: 5.979
+    - type: mrr_at_1
+      value: 26.531
+    - type: mrr_at_10
+      value: 41.553000000000004
+    - type: mrr_at_100
+      value: 42.672
+    - type: mrr_at_1000
+      value: 42.672
+    - type: mrr_at_3
+      value: 35.714
+    - type: mrr_at_5
+      value: 40.306
+    - type: ndcg_at_1
+      value: 21.429000000000002
+    - type: ndcg_at_10
+      value: 21.421
+    - type: ndcg_at_100
+      value: 35.417
+    - type: ndcg_at_1000
+      value: 47.281
+    - type: ndcg_at_3
+      value: 20.107
+    - type: ndcg_at_5
+      value: 23.012
+    - type: precision_at_1
+      value: 26.531
+    - type: precision_at_10
+      value: 21.02
+    - type: precision_at_100
+      value: 8.245
+    - type: precision_at_1000
+      value: 1.608
+    - type: precision_at_3
+      value: 22.448999999999998
+    - type: precision_at_5
+      value: 26.122
+    - type: recall_at_1
+      value: 2.144
+    - type: recall_at_10
+      value: 15.318999999999999
+    - type: recall_at_100
+      value: 50.608
+    - type: recall_at_1000
+      value: 86.652
+    - type: recall_at_3
+      value: 4.65
+    - type: recall_at_5
+      value: 9.286
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 76.1994
+    - type: ap
+      value: 17.166874536029024
+    - type: f1
+      value: 58.91563395048056
+  - task:
+      type: Classification
+    dataset:
+      type: None
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 59.56140350877194
+    - type: f1
+      value: 59.83462102375279
+  - task:
+      type: Clustering
+    dataset:
+      type: None
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 42.717753205468256
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 82.51177206890385
+    - type: cos_sim_ap
+      value: 61.880585258206324
+    - type: cos_sim_f1
+      value: 59.29389759176994
+    - type: cos_sim_precision
+      value: 53.232577665827044
+    - type: cos_sim_recall
+      value: 66.91292875989447
+    - type: dot_accuracy
+      value: 82.51177206890385
+    - type: dot_ap
+      value: 61.880585258206324
+    - type: dot_f1
+      value: 59.29389759176994
+    - type: dot_precision
+      value: 53.232577665827044
+    - type: dot_recall
+      value: 66.91292875989447
+    - type: euclidean_accuracy
+      value: 82.51177206890385
+    - type: euclidean_ap
+      value: 61.880585258206324
+    - type: euclidean_f1
+      value: 59.29389759176994
+    - type: euclidean_precision
+      value: 53.232577665827044
+    - type: euclidean_recall
+      value: 66.91292875989447
+    - type: manhattan_accuracy
+      value: 82.41044286821243
+    - type: manhattan_ap
+      value: 61.69366003781778
+    - type: manhattan_f1
+      value: 59.267976933035186
+    - type: manhattan_precision
+      value: 53.494794986190776
+    - type: manhattan_recall
+      value: 66.43799472295514
+    - type: max_accuracy
+      value: 82.51177206890385
+    - type: max_ap
+      value: 61.880585258206324
+    - type: max_f1
+      value: 59.29389759176994
+  - task:
+      type: PairClassification
+    dataset:
+      type: None
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.58683587534443
+    - type: cos_sim_ap
+      value: 83.41906537158532
+    - type: cos_sim_f1
+      value: 75.80436150912658
+    - type: cos_sim_precision
+      value: 73.01191070537052
+    - type: cos_sim_recall
+      value: 78.81890976285803
+    - type: dot_accuracy
+      value: 87.58683587534443
+    - type: dot_ap
+      value: 83.41906537158532
+    - type: dot_f1
+      value: 75.80436150912658
+    - type: dot_precision
+      value: 73.01191070537052
+    - type: dot_recall
+      value: 78.81890976285803
+    - type: euclidean_accuracy
+      value: 87.58683587534443
+    - type: euclidean_ap
+      value: 83.41906537158532
+    - type: euclidean_f1
+      value: 75.80436150912658
+    - type: euclidean_precision
+      value: 73.01191070537052
+    - type: euclidean_recall
+      value: 78.81890976285803
+    - type: manhattan_accuracy
+      value: 87.55190747855785
+    - type: manhattan_ap
+      value: 83.37075875688966
+    - type: manhattan_f1
+      value: 75.71862755868028
+    - type: manhattan_precision
+      value: 72.19467914251798
+    - type: manhattan_recall
+      value: 79.60425007699415
+    - type: max_accuracy
+      value: 87.58683587534443
+    - type: max_ap
+      value: 83.41906537158532
+    - type: max_f1
+      value: 75.80436150912658
+---