Create README.md (#1)

- Create README.md (fced879859958745b079ff532f72716d3e1e4d9e)

README.md

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+pipeline_tag: sentence-similarity
+tags:
+  - finetuner
+  - sentence-transformers
+  - feature-extraction
+  - sentence-similarity
+  - mteb
+datasets:
+  - jinaai/negation-dataset
+language: en
+license: apache-2.0
+model-index:
+- name: jina-embedding-s-en-v2
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 69.70149253731343
+    - type: ap
+      value: 32.22528779918184
+    - type: f1
+      value: 63.66857824618267
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 79.55879999999999
+    - type: ap
+      value: 73.97885664972738
+    - type: f1
+      value: 79.4849322624122
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 38.69
+    - type: f1
+      value: 37.17512734389121
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.684
+    - type: map_at_10
+      value: 39.086999999999996
+    - type: map_at_100
+      value: 40.222
+    - type: map_at_1000
+      value: 40.231
+    - type: map_at_3
+      value: 34.282000000000004
+    - type: map_at_5
+      value: 36.689
+    - type: mrr_at_1
+      value: 23.826
+    - type: mrr_at_10
+      value: 39.147
+    - type: mrr_at_100
+      value: 40.282000000000004
+    - type: mrr_at_1000
+      value: 40.291
+    - type: mrr_at_3
+      value: 34.353
+    - type: mrr_at_5
+      value: 36.739
+    - type: ndcg_at_1
+      value: 23.684
+    - type: ndcg_at_10
+      value: 48.081
+    - type: ndcg_at_100
+      value: 52.902
+    - type: ndcg_at_1000
+      value: 53.111
+    - type: ndcg_at_3
+      value: 37.937
+    - type: ndcg_at_5
+      value: 42.32
+    - type: precision_at_1
+      value: 23.684
+    - type: precision_at_10
+      value: 7.703
+    - type: precision_at_100
+      value: 0.98
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 16.192999999999998
+    - type: precision_at_5
+      value: 11.863
+    - type: recall_at_1
+      value: 23.684
+    - type: recall_at_10
+      value: 77.027
+    - type: recall_at_100
+      value: 98.009
+    - type: recall_at_1000
+      value: 99.57300000000001
+    - type: recall_at_3
+      value: 48.577999999999996
+    - type: recall_at_5
+      value: 59.317
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 44.249612940073035
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 35.39423011105325
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 59.89078304869791
+    - type: mrr
+      value: 73.5045948203843
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.49373811125967
+    - type: cos_sim_spearman
+      value: 81.0446177409314
+    - type: euclidean_pearson
+      value: 82.1327844624042
+    - type: euclidean_spearman
+      value: 81.0446177409314
+    - type: manhattan_pearson
+      value: 81.88575541723692
+    - type: manhattan_spearman
+      value: 81.0705219456341
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 78.27272727272728
+    - type: f1
+      value: 77.36583416688741
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 36.12447585258704
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 29.305990951348743
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 31.458000000000002
+    - type: map_at_10
+      value: 42.132
+    - type: map_at_100
+      value: 43.47
+    - type: map_at_1000
+      value: 43.612
+    - type: map_at_3
+      value: 38.718
+    - type: map_at_5
+      value: 40.556
+    - type: mrr_at_1
+      value: 38.627
+    - type: mrr_at_10
+      value: 47.998000000000005
+    - type: mrr_at_100
+      value: 48.726
+    - type: mrr_at_1000
+      value: 48.778
+    - type: mrr_at_3
+      value: 45.255
+    - type: mrr_at_5
+      value: 46.893
+    - type: ndcg_at_1
+      value: 38.627
+    - type: ndcg_at_10
+      value: 48.229
+    - type: ndcg_at_100
+      value: 53.108999999999995
+    - type: ndcg_at_1000
+      value: 55.385
+    - type: ndcg_at_3
+      value: 43.191
+    - type: ndcg_at_5
+      value: 45.385999999999996
+    - type: precision_at_1
+      value: 38.627
+    - type: precision_at_10
+      value: 9.142
+    - type: precision_at_100
+      value: 1.462
+    - type: precision_at_1000
+      value: 0.19499999999999998
+    - type: precision_at_3
+      value: 20.552999999999997
+    - type: precision_at_5
+      value: 14.677999999999999
+    - type: recall_at_1
+      value: 31.458000000000002
+    - type: recall_at_10
+      value: 59.619
+    - type: recall_at_100
+      value: 79.953
+    - type: recall_at_1000
+      value: 94.921
+    - type: recall_at_3
+      value: 44.744
+    - type: recall_at_5
+      value: 51.010999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.762000000000004
+    - type: map_at_10
+      value: 35.366
+    - type: map_at_100
+      value: 36.481
+    - type: map_at_1000
+      value: 36.614999999999995
+    - type: map_at_3
+      value: 33.071
+    - type: map_at_5
+      value: 34.495
+    - type: mrr_at_1
+      value: 33.312000000000005
+    - type: mrr_at_10
+      value: 40.841
+    - type: mrr_at_100
+      value: 41.54
+    - type: mrr_at_1000
+      value: 41.592
+    - type: mrr_at_3
+      value: 38.928000000000004
+    - type: mrr_at_5
+      value: 40.119
+    - type: ndcg_at_1
+      value: 33.312000000000005
+    - type: ndcg_at_10
+      value: 40.238
+    - type: ndcg_at_100
+      value: 44.647
+    - type: ndcg_at_1000
+      value: 47.010999999999996
+    - type: ndcg_at_3
+      value: 36.991
+    - type: ndcg_at_5
+      value: 38.721
+    - type: precision_at_1
+      value: 33.312000000000005
+    - type: precision_at_10
+      value: 7.4079999999999995
+    - type: precision_at_100
+      value: 1.253
+    - type: precision_at_1000
+      value: 0.17500000000000002
+    - type: precision_at_3
+      value: 17.898
+    - type: precision_at_5
+      value: 12.687999999999999
+    - type: recall_at_1
+      value: 26.762000000000004
+    - type: recall_at_10
+      value: 48.41
+    - type: recall_at_100
+      value: 67.523
+    - type: recall_at_1000
+      value: 82.91199999999999
+    - type: recall_at_3
+      value: 38.6
+    - type: recall_at_5
+      value: 43.477
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 37.578
+    - type: map_at_10
+      value: 49.415
+    - type: map_at_100
+      value: 50.339
+    - type: map_at_1000
+      value: 50.402
+    - type: map_at_3
+      value: 46.412
+    - type: map_at_5
+      value: 48.183
+    - type: mrr_at_1
+      value: 43.072
+    - type: mrr_at_10
+      value: 52.82599999999999
+    - type: mrr_at_100
+      value: 53.456
+    - type: mrr_at_1000
+      value: 53.493
+    - type: mrr_at_3
+      value: 50.407999999999994
+    - type: mrr_at_5
+      value: 51.922000000000004
+    - type: ndcg_at_1
+      value: 43.072
+    - type: ndcg_at_10
+      value: 54.949000000000005
+    - type: ndcg_at_100
+      value: 58.744
+    - type: ndcg_at_1000
+      value: 60.150000000000006
+    - type: ndcg_at_3
+      value: 49.864000000000004
+    - type: ndcg_at_5
+      value: 52.503
+    - type: precision_at_1
+      value: 43.072
+    - type: precision_at_10
+      value: 8.734
+    - type: precision_at_100
+      value: 1.1520000000000001
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 22.131999999999998
+    - type: precision_at_5
+      value: 15.21
+    - type: recall_at_1
+      value: 37.578
+    - type: recall_at_10
+      value: 67.918
+    - type: recall_at_100
+      value: 84.373
+    - type: recall_at_1000
+      value: 94.529
+    - type: recall_at_3
+      value: 54.457
+    - type: recall_at_5
+      value: 60.941
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 23.394000000000002
+    - type: map_at_10
+      value: 31.791000000000004
+    - type: map_at_100
+      value: 32.64
+    - type: map_at_1000
+      value: 32.727000000000004
+    - type: map_at_3
+      value: 29.557
+    - type: map_at_5
+      value: 30.858999999999998
+    - type: mrr_at_1
+      value: 25.085
+    - type: mrr_at_10
+      value: 33.721000000000004
+    - type: mrr_at_100
+      value: 34.492
+    - type: mrr_at_1000
+      value: 34.564
+    - type: mrr_at_3
+      value: 31.619999999999997
+    - type: mrr_at_5
+      value: 32.896
+    - type: ndcg_at_1
+      value: 25.085
+    - type: ndcg_at_10
+      value: 36.370000000000005
+    - type: ndcg_at_100
+      value: 40.96
+    - type: ndcg_at_1000
+      value: 43.171
+    - type: ndcg_at_3
+      value: 32.104
+    - type: ndcg_at_5
+      value: 34.300000000000004
+    - type: precision_at_1
+      value: 25.085
+    - type: precision_at_10
+      value: 5.537
+    - type: precision_at_100
+      value: 0.8340000000000001
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 13.71
+    - type: precision_at_5
+      value: 9.514
+    - type: recall_at_1
+      value: 23.394000000000002
+    - type: recall_at_10
+      value: 48.549
+    - type: recall_at_100
+      value: 70.341
+    - type: recall_at_1000
+      value: 87.01299999999999
+    - type: recall_at_3
+      value: 36.947
+    - type: recall_at_5
+      value: 42.365
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 14.818000000000001
+    - type: map_at_10
+      value: 21.773999999999997
+    - type: map_at_100
+      value: 22.787
+    - type: map_at_1000
+      value: 22.915
+    - type: map_at_3
+      value: 19.414
+    - type: map_at_5
+      value: 20.651
+    - type: mrr_at_1
+      value: 18.657
+    - type: mrr_at_10
+      value: 25.794
+    - type: mrr_at_100
+      value: 26.695999999999998
+    - type: mrr_at_1000
+      value: 26.776
+    - type: mrr_at_3
+      value: 23.279
+    - type: mrr_at_5
+      value: 24.598
+    - type: ndcg_at_1
+      value: 18.657
+    - type: ndcg_at_10
+      value: 26.511000000000003
+    - type: ndcg_at_100
+      value: 31.447999999999997
+    - type: ndcg_at_1000
+      value: 34.71
+    - type: ndcg_at_3
+      value: 21.92
+    - type: ndcg_at_5
+      value: 23.938000000000002
+    - type: precision_at_1
+      value: 18.657
+    - type: precision_at_10
+      value: 4.9
+    - type: precision_at_100
+      value: 0.851
+    - type: precision_at_1000
+      value: 0.127
+    - type: precision_at_3
+      value: 10.488999999999999
+    - type: precision_at_5
+      value: 7.710999999999999
+    - type: recall_at_1
+      value: 14.818000000000001
+    - type: recall_at_10
+      value: 37.408
+    - type: recall_at_100
+      value: 58.81999999999999
+    - type: recall_at_1000
+      value: 82.612
+    - type: recall_at_3
+      value: 24.561
+    - type: recall_at_5
+      value: 29.685
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.332
+    - type: map_at_10
+      value: 35.366
+    - type: map_at_100
+      value: 36.569
+    - type: map_at_1000
+      value: 36.689
+    - type: map_at_3
+      value: 32.582
+    - type: map_at_5
+      value: 34.184
+    - type: mrr_at_1
+      value: 32.05
+    - type: mrr_at_10
+      value: 40.902
+    - type: mrr_at_100
+      value: 41.754000000000005
+    - type: mrr_at_1000
+      value: 41.811
+    - type: mrr_at_3
+      value: 38.547
+    - type: mrr_at_5
+      value: 40.019
+    - type: ndcg_at_1
+      value: 32.05
+    - type: ndcg_at_10
+      value: 40.999
+    - type: ndcg_at_100
+      value: 46.284
+    - type: ndcg_at_1000
+      value: 48.698
+    - type: ndcg_at_3
+      value: 36.39
+    - type: ndcg_at_5
+      value: 38.699
+    - type: precision_at_1
+      value: 32.05
+    - type: precision_at_10
+      value: 7.315
+    - type: precision_at_100
+      value: 1.172
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 17.036
+    - type: precision_at_5
+      value: 12.089
+    - type: recall_at_1
+      value: 26.332
+    - type: recall_at_10
+      value: 52.410000000000004
+    - type: recall_at_100
+      value: 74.763
+    - type: recall_at_1000
+      value: 91.03
+    - type: recall_at_3
+      value: 39.527
+    - type: recall_at_5
+      value: 45.517
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.849
+    - type: map_at_10
+      value: 31.502000000000002
+    - type: map_at_100
+      value: 32.854
+    - type: map_at_1000
+      value: 32.975
+    - type: map_at_3
+      value: 28.997
+    - type: map_at_5
+      value: 30.508999999999997
+    - type: mrr_at_1
+      value: 28.195999999999998
+    - type: mrr_at_10
+      value: 36.719
+    - type: mrr_at_100
+      value: 37.674
+    - type: mrr_at_1000
+      value: 37.743
+    - type: mrr_at_3
+      value: 34.532000000000004
+    - type: mrr_at_5
+      value: 35.845
+    - type: ndcg_at_1
+      value: 28.195999999999998
+    - type: ndcg_at_10
+      value: 36.605
+    - type: ndcg_at_100
+      value: 42.524
+    - type: ndcg_at_1000
+      value: 45.171
+    - type: ndcg_at_3
+      value: 32.574
+    - type: ndcg_at_5
+      value: 34.617
+    - type: precision_at_1
+      value: 28.195999999999998
+    - type: precision_at_10
+      value: 6.598
+    - type: precision_at_100
+      value: 1.121
+    - type: precision_at_1000
+      value: 0.153
+    - type: precision_at_3
+      value: 15.601
+    - type: precision_at_5
+      value: 11.073
+    - type: recall_at_1
+      value: 22.849
+    - type: recall_at_10
+      value: 46.528000000000006
+    - type: recall_at_100
+      value: 72.09
+    - type: recall_at_1000
+      value: 90.398
+    - type: recall_at_3
+      value: 35.116
+    - type: recall_at_5
+      value: 40.778
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.319500000000005
+    - type: map_at_10
+      value: 32.530166666666666
+    - type: map_at_100
+      value: 33.61566666666667
+    - type: map_at_1000
+      value: 33.73808333333333
+    - type: map_at_3
+      value: 30.074583333333326
+    - type: map_at_5
+      value: 31.429666666666662
+    - type: mrr_at_1
+      value: 28.675916666666666
+    - type: mrr_at_10
+      value: 36.49308333333334
+    - type: mrr_at_100
+      value: 37.310583333333334
+    - type: mrr_at_1000
+      value: 37.37616666666666
+    - type: mrr_at_3
+      value: 34.283166666666666
+    - type: mrr_at_5
+      value: 35.54333333333334
+    - type: ndcg_at_1
+      value: 28.675916666666666
+    - type: ndcg_at_10
+      value: 37.403416666666665
+    - type: ndcg_at_100
+      value: 42.25783333333333
+    - type: ndcg_at_1000
+      value: 44.778333333333336
+    - type: ndcg_at_3
+      value: 33.17099999999999
+    - type: ndcg_at_5
+      value: 35.12666666666667
+    - type: precision_at_1
+      value: 28.675916666666666
+    - type: precision_at_10
+      value: 6.463083333333334
+    - type: precision_at_100
+      value: 1.0585
+    - type: precision_at_1000
+      value: 0.14633333333333332
+    - type: precision_at_3
+      value: 15.158999999999997
+    - type: precision_at_5
+      value: 10.673916666666667
+    - type: recall_at_1
+      value: 24.319500000000005
+    - type: recall_at_10
+      value: 47.9135
+    - type: recall_at_100
+      value: 69.40266666666666
+    - type: recall_at_1000
+      value: 87.12566666666666
+    - type: recall_at_3
+      value: 36.03149999999999
+    - type: recall_at_5
+      value: 41.12791666666668
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.997
+    - type: map_at_10
+      value: 28.754999999999995
+    - type: map_at_100
+      value: 29.555999999999997
+    - type: map_at_1000
+      value: 29.653000000000002
+    - type: map_at_3
+      value: 27.069
+    - type: map_at_5
+      value: 27.884999999999998
+    - type: mrr_at_1
+      value: 25.767
+    - type: mrr_at_10
+      value: 31.195
+    - type: mrr_at_100
+      value: 31.964
+    - type: mrr_at_1000
+      value: 32.039
+    - type: mrr_at_3
+      value: 29.601
+    - type: mrr_at_5
+      value: 30.345
+    - type: ndcg_at_1
+      value: 25.767
+    - type: ndcg_at_10
+      value: 32.234
+    - type: ndcg_at_100
+      value: 36.461
+    - type: ndcg_at_1000
+      value: 39.005
+    - type: ndcg_at_3
+      value: 29.052
+    - type: ndcg_at_5
+      value: 30.248
+    - type: precision_at_1
+      value: 25.767
+    - type: precision_at_10
+      value: 4.893
+    - type: precision_at_100
+      value: 0.761
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 12.219
+    - type: precision_at_5
+      value: 8.19
+    - type: recall_at_1
+      value: 22.997
+    - type: recall_at_10
+      value: 40.652
+    - type: recall_at_100
+      value: 60.302
+    - type: recall_at_1000
+      value: 79.17999999999999
+    - type: recall_at_3
+      value: 31.680999999999997
+    - type: recall_at_5
+      value: 34.698
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.3
+    - type: map_at_10
+      value: 22.581
+    - type: map_at_100
+      value: 23.517
+    - type: map_at_1000
+      value: 23.638
+    - type: map_at_3
+      value: 20.567
+    - type: map_at_5
+      value: 21.688
+    - type: mrr_at_1
+      value: 19.683
+    - type: mrr_at_10
+      value: 26.185000000000002
+    - type: mrr_at_100
+      value: 27.014
+    - type: mrr_at_1000
+      value: 27.092
+    - type: mrr_at_3
+      value: 24.145
+    - type: mrr_at_5
+      value: 25.308999999999997
+    - type: ndcg_at_1
+      value: 19.683
+    - type: ndcg_at_10
+      value: 26.699
+    - type: ndcg_at_100
+      value: 31.35
+    - type: ndcg_at_1000
+      value: 34.348
+    - type: ndcg_at_3
+      value: 23.026
+    - type: ndcg_at_5
+      value: 24.731
+    - type: precision_at_1
+      value: 19.683
+    - type: precision_at_10
+      value: 4.814
+    - type: precision_at_100
+      value: 0.836
+    - type: precision_at_1000
+      value: 0.126
+    - type: precision_at_3
+      value: 10.782
+    - type: precision_at_5
+      value: 7.825
+    - type: recall_at_1
+      value: 16.3
+    - type: recall_at_10
+      value: 35.521
+    - type: recall_at_100
+      value: 56.665
+    - type: recall_at_1000
+      value: 78.361
+    - type: recall_at_3
+      value: 25.223000000000003
+    - type: recall_at_5
+      value: 29.626
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.596999999999998
+    - type: map_at_10
+      value: 32.54
+    - type: map_at_100
+      value: 33.548
+    - type: map_at_1000
+      value: 33.661
+    - type: map_at_3
+      value: 30.134
+    - type: map_at_5
+      value: 31.468
+    - type: mrr_at_1
+      value: 28.825
+    - type: mrr_at_10
+      value: 36.495
+    - type: mrr_at_100
+      value: 37.329
+    - type: mrr_at_1000
+      value: 37.397999999999996
+    - type: mrr_at_3
+      value: 34.359
+    - type: mrr_at_5
+      value: 35.53
+    - type: ndcg_at_1
+      value: 28.825
+    - type: ndcg_at_10
+      value: 37.341
+    - type: ndcg_at_100
+      value: 42.221
+    - type: ndcg_at_1000
+      value: 44.799
+    - type: ndcg_at_3
+      value: 33.058
+    - type: ndcg_at_5
+      value: 34.961999999999996
+    - type: precision_at_1
+      value: 28.825
+    - type: precision_at_10
+      value: 6.175
+    - type: precision_at_100
+      value: 0.97
+    - type: precision_at_1000
+      value: 0.13
+    - type: precision_at_3
+      value: 14.924999999999999
+    - type: precision_at_5
+      value: 10.392
+    - type: recall_at_1
+      value: 24.596999999999998
+    - type: recall_at_10
+      value: 48.067
+    - type: recall_at_100
+      value: 69.736
+    - type: recall_at_1000
+      value: 87.855
+    - type: recall_at_3
+      value: 36.248999999999995
+    - type: recall_at_5
+      value: 41.086
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 24.224999999999998
+    - type: map_at_10
+      value: 31.826
+    - type: map_at_100
+      value: 33.366
+    - type: map_at_1000
+      value: 33.6
+    - type: map_at_3
+      value: 29.353
+    - type: map_at_5
+      value: 30.736
+    - type: mrr_at_1
+      value: 28.656
+    - type: mrr_at_10
+      value: 36.092
+    - type: mrr_at_100
+      value: 37.076
+    - type: mrr_at_1000
+      value: 37.141999999999996
+    - type: mrr_at_3
+      value: 33.86
+    - type: mrr_at_5
+      value: 35.144999999999996
+    - type: ndcg_at_1
+      value: 28.656
+    - type: ndcg_at_10
+      value: 37.025999999999996
+    - type: ndcg_at_100
+      value: 42.844
+    - type: ndcg_at_1000
+      value: 45.716
+    - type: ndcg_at_3
+      value: 32.98
+    - type: ndcg_at_5
+      value: 34.922
+    - type: precision_at_1
+      value: 28.656
+    - type: precision_at_10
+      value: 6.976
+    - type: precision_at_100
+      value: 1.48
+    - type: precision_at_1000
+      value: 0.23700000000000002
+    - type: precision_at_3
+      value: 15.348999999999998
+    - type: precision_at_5
+      value: 11.028
+    - type: recall_at_1
+      value: 24.224999999999998
+    - type: recall_at_10
+      value: 46.589999999999996
+    - type: recall_at_100
+      value: 72.331
+    - type: recall_at_1000
+      value: 90.891
+    - type: recall_at_3
+      value: 34.996
+    - type: recall_at_5
+      value: 40.294000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 20.524
+    - type: map_at_10
+      value: 27.314
+    - type: map_at_100
+      value: 28.260999999999996
+    - type: map_at_1000
+      value: 28.37
+    - type: map_at_3
+      value: 25.020999999999997
+    - type: map_at_5
+      value: 25.942
+    - type: mrr_at_1
+      value: 22.181
+    - type: mrr_at_10
+      value: 29.149
+    - type: mrr_at_100
+      value: 30.006
+    - type: mrr_at_1000
+      value: 30.086000000000002
+    - type: mrr_at_3
+      value: 26.863999999999997
+    - type: mrr_at_5
+      value: 27.899
+    - type: ndcg_at_1
+      value: 22.181
+    - type: ndcg_at_10
+      value: 31.64
+    - type: ndcg_at_100
+      value: 36.502
+    - type: ndcg_at_1000
+      value: 39.176
+    - type: ndcg_at_3
+      value: 26.901999999999997
+    - type: ndcg_at_5
+      value: 28.493000000000002
+    - type: precision_at_1
+      value: 22.181
+    - type: precision_at_10
+      value: 5.065
+    - type: precision_at_100
+      value: 0.8099999999999999
+    - type: precision_at_1000
+      value: 0.11499999999999999
+    - type: precision_at_3
+      value: 11.214
+    - type: precision_at_5
+      value: 7.689
+    - type: recall_at_1
+      value: 20.524
+    - type: recall_at_10
+      value: 43.29
+    - type: recall_at_100
+      value: 65.935
+    - type: recall_at_1000
+      value: 85.80600000000001
+    - type: recall_at_3
+      value: 30.276999999999997
+    - type: recall_at_5
+      value: 34.056999999999995
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.488999999999999
+    - type: map_at_10
+      value: 17.98
+    - type: map_at_100
+      value: 19.581
+    - type: map_at_1000
+      value: 19.739
+    - type: map_at_3
+      value: 15.054
+    - type: map_at_5
+      value: 16.439999999999998
+    - type: mrr_at_1
+      value: 23.192
+    - type: mrr_at_10
+      value: 33.831
+    - type: mrr_at_100
+      value: 34.833
+    - type: mrr_at_1000
+      value: 34.881
+    - type: mrr_at_3
+      value: 30.793
+    - type: mrr_at_5
+      value: 32.535
+    - type: ndcg_at_1
+      value: 23.192
+    - type: ndcg_at_10
+      value: 25.446
+    - type: ndcg_at_100
+      value: 31.948
+    - type: ndcg_at_1000
+      value: 35.028
+    - type: ndcg_at_3
+      value: 20.744
+    - type: ndcg_at_5
+      value: 22.233
+    - type: precision_at_1
+      value: 23.192
+    - type: precision_at_10
+      value: 8.026
+    - type: precision_at_100
+      value: 1.482
+    - type: precision_at_1000
+      value: 0.20500000000000002
+    - type: precision_at_3
+      value: 15.548
+    - type: precision_at_5
+      value: 11.87
+    - type: recall_at_1
+      value: 10.488999999999999
+    - type: recall_at_10
+      value: 30.865
+    - type: recall_at_100
+      value: 53.428
+    - type: recall_at_1000
+      value: 70.89
+    - type: recall_at_3
+      value: 19.245
+    - type: recall_at_5
+      value: 23.657
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 7.123
+    - type: map_at_10
+      value: 14.448
+    - type: map_at_100
+      value: 19.798
+    - type: map_at_1000
+      value: 21.082
+    - type: map_at_3
+      value: 10.815
+    - type: map_at_5
+      value: 12.422
+    - type: mrr_at_1
+      value: 53.5
+    - type: mrr_at_10
+      value: 63.117999999999995
+    - type: mrr_at_100
+      value: 63.617999999999995
+    - type: mrr_at_1000
+      value: 63.63799999999999
+    - type: mrr_at_3
+      value: 60.708
+    - type: mrr_at_5
+      value: 62.171
+    - type: ndcg_at_1
+      value: 42.125
+    - type: ndcg_at_10
+      value: 31.703
+    - type: ndcg_at_100
+      value: 35.935
+    - type: ndcg_at_1000
+      value: 43.173
+    - type: ndcg_at_3
+      value: 35.498000000000005
+    - type: ndcg_at_5
+      value: 33.645
+    - type: precision_at_1
+      value: 53.5
+    - type: precision_at_10
+      value: 25.025
+    - type: precision_at_100
+      value: 8.19
+    - type: precision_at_1000
+      value: 1.806
+    - type: precision_at_3
+      value: 39.083
+    - type: precision_at_5
+      value: 33.050000000000004
+    - type: recall_at_1
+      value: 7.123
+    - type: recall_at_10
+      value: 19.581
+    - type: recall_at_100
+      value: 42.061
+    - type: recall_at_1000
+      value: 65.879
+    - type: recall_at_3
+      value: 12.026
+    - type: recall_at_5
+      value: 14.846
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 41.24
+    - type: f1
+      value: 36.76174115773002
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 47.821999999999996
+    - type: map_at_10
+      value: 59.794000000000004
+    - type: map_at_100
+      value: 60.316
+    - type: map_at_1000
+      value: 60.34
+    - type: map_at_3
+      value: 57.202
+    - type: map_at_5
+      value: 58.823
+    - type: mrr_at_1
+      value: 51.485
+    - type: mrr_at_10
+      value: 63.709
+    - type: mrr_at_100
+      value: 64.144
+    - type: mrr_at_1000
+      value: 64.158
+    - type: mrr_at_3
+      value: 61.251
+    - type: mrr_at_5
+      value: 62.818
+    - type: ndcg_at_1
+      value: 51.485
+    - type: ndcg_at_10
+      value: 66.097
+    - type: ndcg_at_100
+      value: 68.37
+    - type: ndcg_at_1000
+      value: 68.916
+    - type: ndcg_at_3
+      value: 61.12800000000001
+    - type: ndcg_at_5
+      value: 63.885000000000005
+    - type: precision_at_1
+      value: 51.485
+    - type: precision_at_10
+      value: 8.956999999999999
+    - type: precision_at_100
+      value: 1.02
+    - type: precision_at_1000
+      value: 0.108
+    - type: precision_at_3
+      value: 24.807000000000002
+    - type: precision_at_5
+      value: 16.387999999999998
+    - type: recall_at_1
+      value: 47.821999999999996
+    - type: recall_at_10
+      value: 81.773
+    - type: recall_at_100
+      value: 91.731
+    - type: recall_at_1000
+      value: 95.649
+    - type: recall_at_3
+      value: 68.349
+    - type: recall_at_5
+      value: 75.093
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.662999999999998
+    - type: map_at_10
+      value: 25.726
+    - type: map_at_100
+      value: 27.581
+    - type: map_at_1000
+      value: 27.772000000000002
+    - type: map_at_3
+      value: 21.859
+    - type: map_at_5
+      value: 24.058
+    - type: mrr_at_1
+      value: 30.247
+    - type: mrr_at_10
+      value: 39.581
+    - type: mrr_at_100
+      value: 40.594
+    - type: mrr_at_1000
+      value: 40.647
+    - type: mrr_at_3
+      value: 37.166
+    - type: mrr_at_5
+      value: 38.585
+    - type: ndcg_at_1
+      value: 30.247
+    - type: ndcg_at_10
+      value: 32.934999999999995
+    - type: ndcg_at_100
+      value: 40.062999999999995
+    - type: ndcg_at_1000
+      value: 43.492
+    - type: ndcg_at_3
+      value: 28.871000000000002
+    - type: ndcg_at_5
+      value: 30.492
+    - type: precision_at_1
+      value: 30.247
+    - type: precision_at_10
+      value: 9.522
+    - type: precision_at_100
+      value: 1.645
+    - type: precision_at_1000
+      value: 0.22499999999999998
+    - type: precision_at_3
+      value: 19.136
+    - type: precision_at_5
+      value: 14.753
+    - type: recall_at_1
+      value: 15.662999999999998
+    - type: recall_at_10
+      value: 39.595
+    - type: recall_at_100
+      value: 66.49199999999999
+    - type: recall_at_1000
+      value: 87.19
+    - type: recall_at_3
+      value: 26.346999999999998
+    - type: recall_at_5
+      value: 32.423
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 30.176
+    - type: map_at_10
+      value: 42.684
+    - type: map_at_100
+      value: 43.582
+    - type: map_at_1000
+      value: 43.668
+    - type: map_at_3
+      value: 39.964
+    - type: map_at_5
+      value: 41.589
+    - type: mrr_at_1
+      value: 60.351
+    - type: mrr_at_10
+      value: 67.669
+    - type: mrr_at_100
+      value: 68.089
+    - type: mrr_at_1000
+      value: 68.111
+    - type: mrr_at_3
+      value: 66.144
+    - type: mrr_at_5
+      value: 67.125
+    - type: ndcg_at_1
+      value: 60.351
+    - type: ndcg_at_10
+      value: 51.602000000000004
+    - type: ndcg_at_100
+      value: 55.186
+    - type: ndcg_at_1000
+      value: 56.96
+    - type: ndcg_at_3
+      value: 47.251
+    - type: ndcg_at_5
+      value: 49.584
+    - type: precision_at_1
+      value: 60.351
+    - type: precision_at_10
+      value: 10.804
+    - type: precision_at_100
+      value: 1.3639999999999999
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 29.561
+    - type: precision_at_5
+      value: 19.581
+    - type: recall_at_1
+      value: 30.176
+    - type: recall_at_10
+      value: 54.018
+    - type: recall_at_100
+      value: 68.22399999999999
+    - type: recall_at_1000
+      value: 79.97999999999999
+    - type: recall_at_3
+      value: 44.342
+    - type: recall_at_5
+      value: 48.953
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 71.28320000000001
+    - type: ap
+      value: 65.20730065157146
+    - type: f1
+      value: 71.19193683354304
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.686
+    - type: map_at_10
+      value: 31.189
+    - type: map_at_100
+      value: 32.368
+    - type: map_at_1000
+      value: 32.43
+    - type: map_at_3
+      value: 27.577
+    - type: map_at_5
+      value: 29.603
+    - type: mrr_at_1
+      value: 20.201
+    - type: mrr_at_10
+      value: 31.762
+    - type: mrr_at_100
+      value: 32.882
+    - type: mrr_at_1000
+      value: 32.937
+    - type: mrr_at_3
+      value: 28.177999999999997
+    - type: mrr_at_5
+      value: 30.212
+    - type: ndcg_at_1
+      value: 20.215
+    - type: ndcg_at_10
+      value: 37.730999999999995
+    - type: ndcg_at_100
+      value: 43.501
+    - type: ndcg_at_1000
+      value: 45.031
+    - type: ndcg_at_3
+      value: 30.336000000000002
+    - type: ndcg_at_5
+      value: 33.961000000000006
+    - type: precision_at_1
+      value: 20.215
+    - type: precision_at_10
+      value: 6.036
+    - type: precision_at_100
+      value: 0.895
+    - type: precision_at_1000
+      value: 0.10300000000000001
+    - type: precision_at_3
+      value: 13.028
+    - type: precision_at_5
+      value: 9.633
+    - type: recall_at_1
+      value: 19.686
+    - type: recall_at_10
+      value: 57.867999999999995
+    - type: recall_at_100
+      value: 84.758
+    - type: recall_at_1000
+      value: 96.44500000000001
+    - type: recall_at_3
+      value: 37.726
+    - type: recall_at_5
+      value: 46.415
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 89.76972184222525
+    - type: f1
+      value: 89.11949030406099
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 55.57455540355677
+    - type: f1
+      value: 39.344920096224506
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 63.772696704774724
+    - type: f1
+      value: 60.70041499812703
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 69.16274377942166
+    - type: f1
+      value: 68.06744012208019
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 31.822626760555522
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 27.98469036402807
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 30.911144124209166
+    - type: mrr
+      value: 31.950116175672292
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 5.157
+    - type: map_at_10
+      value: 11.086
+    - type: map_at_100
+      value: 13.927
+    - type: map_at_1000
+      value: 15.226999999999999
+    - type: map_at_3
+      value: 8.525
+    - type: map_at_5
+      value: 9.767000000000001
+    - type: mrr_at_1
+      value: 43.344
+    - type: mrr_at_10
+      value: 51.646
+    - type: mrr_at_100
+      value: 52.212
+    - type: mrr_at_1000
+      value: 52.263999999999996
+    - type: mrr_at_3
+      value: 50.052
+    - type: mrr_at_5
+      value: 51.166
+    - type: ndcg_at_1
+      value: 41.949999999999996
+    - type: ndcg_at_10
+      value: 30.552
+    - type: ndcg_at_100
+      value: 28.409000000000002
+    - type: ndcg_at_1000
+      value: 37.328
+    - type: ndcg_at_3
+      value: 37.114000000000004
+    - type: ndcg_at_5
+      value: 34.117999999999995
+    - type: precision_at_1
+      value: 43.344
+    - type: precision_at_10
+      value: 22.198
+    - type: precision_at_100
+      value: 7.234999999999999
+    - type: precision_at_1000
+      value: 2.013
+    - type: precision_at_3
+      value: 34.675
+    - type: precision_at_5
+      value: 29.04
+    - type: recall_at_1
+      value: 5.157
+    - type: recall_at_10
+      value: 13.999
+    - type: recall_at_100
+      value: 28.796
+    - type: recall_at_1000
+      value: 60.84
+    - type: recall_at_3
+      value: 9.603
+    - type: recall_at_5
+      value: 11.638
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.024
+    - type: map_at_10
+      value: 47.229
+    - type: map_at_100
+      value: 48.195
+    - type: map_at_1000
+      value: 48.229
+    - type: map_at_3
+      value: 43.356
+    - type: map_at_5
+      value: 45.857
+    - type: mrr_at_1
+      value: 36.848
+    - type: mrr_at_10
+      value: 49.801
+    - type: mrr_at_100
+      value: 50.532999999999994
+    - type: mrr_at_1000
+      value: 50.556
+    - type: mrr_at_3
+      value: 46.605999999999995
+    - type: mrr_at_5
+      value: 48.735
+    - type: ndcg_at_1
+      value: 36.848
+    - type: ndcg_at_10
+      value: 54.202
+    - type: ndcg_at_100
+      value: 58.436
+    - type: ndcg_at_1000
+      value: 59.252
+    - type: ndcg_at_3
+      value: 47.082
+    - type: ndcg_at_5
+      value: 51.254
+    - type: precision_at_1
+      value: 36.848
+    - type: precision_at_10
+      value: 8.636000000000001
+    - type: precision_at_100
+      value: 1.105
+    - type: precision_at_1000
+      value: 0.11800000000000001
+    - type: precision_at_3
+      value: 21.08
+    - type: precision_at_5
+      value: 15.07
+    - type: recall_at_1
+      value: 33.024
+    - type: recall_at_10
+      value: 72.699
+    - type: recall_at_100
+      value: 91.387
+    - type: recall_at_1000
+      value: 97.482
+    - type: recall_at_3
+      value: 54.604
+    - type: recall_at_5
+      value: 64.224
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 69.742
+    - type: map_at_10
+      value: 83.43
+    - type: map_at_100
+      value: 84.09400000000001
+    - type: map_at_1000
+      value: 84.113
+    - type: map_at_3
+      value: 80.464
+    - type: map_at_5
+      value: 82.356
+    - type: mrr_at_1
+      value: 80.31
+    - type: mrr_at_10
+      value: 86.629
+    - type: mrr_at_100
+      value: 86.753
+    - type: mrr_at_1000
+      value: 86.75399999999999
+    - type: mrr_at_3
+      value: 85.59
+    - type: mrr_at_5
+      value: 86.346
+    - type: ndcg_at_1
+      value: 80.28999999999999
+    - type: ndcg_at_10
+      value: 87.323
+    - type: ndcg_at_100
+      value: 88.682
+    - type: ndcg_at_1000
+      value: 88.812
+    - type: ndcg_at_3
+      value: 84.373
+    - type: ndcg_at_5
+      value: 86.065
+    - type: precision_at_1
+      value: 80.28999999999999
+    - type: precision_at_10
+      value: 13.239999999999998
+    - type: precision_at_100
+      value: 1.521
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 36.827
+    - type: precision_at_5
+      value: 24.272
+    - type: recall_at_1
+      value: 69.742
+    - type: recall_at_10
+      value: 94.645
+    - type: recall_at_100
+      value: 99.375
+    - type: recall_at_1000
+      value: 99.97200000000001
+    - type: recall_at_3
+      value: 86.18400000000001
+    - type: recall_at_5
+      value: 90.958
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 50.52987829115787
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 56.73289360025561
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 4.473
+    - type: map_at_10
+      value: 10.953
+    - type: map_at_100
+      value: 12.842
+    - type: map_at_1000
+      value: 13.122
+    - type: map_at_3
+      value: 7.863
+    - type: map_at_5
+      value: 9.376
+    - type: mrr_at_1
+      value: 22.0
+    - type: mrr_at_10
+      value: 32.639
+    - type: mrr_at_100
+      value: 33.658
+    - type: mrr_at_1000
+      value: 33.727000000000004
+    - type: mrr_at_3
+      value: 29.232999999999997
+    - type: mrr_at_5
+      value: 31.373
+    - type: ndcg_at_1
+      value: 22.0
+    - type: ndcg_at_10
+      value: 18.736
+    - type: ndcg_at_100
+      value: 26.209
+    - type: ndcg_at_1000
+      value: 31.427
+    - type: ndcg_at_3
+      value: 17.740000000000002
+    - type: ndcg_at_5
+      value: 15.625
+    - type: precision_at_1
+      value: 22.0
+    - type: precision_at_10
+      value: 9.700000000000001
+    - type: precision_at_100
+      value: 2.052
+    - type: precision_at_1000
+      value: 0.331
+    - type: precision_at_3
+      value: 16.533
+    - type: precision_at_5
+      value: 13.74
+    - type: recall_at_1
+      value: 4.473
+    - type: recall_at_10
+      value: 19.627
+    - type: recall_at_100
+      value: 41.63
+    - type: recall_at_1000
+      value: 67.173
+    - type: recall_at_3
+      value: 10.067
+    - type: recall_at_5
+      value: 13.927
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 83.27314719076216
+    - type: cos_sim_spearman
+      value: 76.39295628838427
+    - type: euclidean_pearson
+      value: 80.38849931283136
+    - type: euclidean_spearman
+      value: 76.39295685543406
+    - type: manhattan_pearson
+      value: 80.28382869912794
+    - type: manhattan_spearman
+      value: 76.28362123227473
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.36858074786585
+    - type: cos_sim_spearman
+      value: 72.81528838052759
+    - type: euclidean_pearson
+      value: 78.83576324502302
+    - type: euclidean_spearman
+      value: 72.8152880167174
+    - type: manhattan_pearson
+      value: 78.81284819385367
+    - type: manhattan_spearman
+      value: 72.76091465928633
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.08132718998489
+    - type: cos_sim_spearman
+      value: 82.00988939015869
+    - type: euclidean_pearson
+      value: 81.02243847451692
+    - type: euclidean_spearman
+      value: 82.00992010206836
+    - type: manhattan_pearson
+      value: 80.97749306075134
+    - type: manhattan_spearman
+      value: 81.97800195109437
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.83442047735284
+    - type: cos_sim_spearman
+      value: 77.50930325127395
+    - type: euclidean_pearson
+      value: 79.34941050260747
+    - type: euclidean_spearman
+      value: 77.50930324686452
+    - type: manhattan_pearson
+      value: 79.28081079289419
+    - type: manhattan_spearman
+      value: 77.42311420628891
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 85.70132781546333
+    - type: cos_sim_spearman
+      value: 86.58415907086527
+    - type: euclidean_pearson
+      value: 85.63892869817083
+    - type: euclidean_spearman
+      value: 86.58415907086527
+    - type: manhattan_pearson
+      value: 85.56054168116064
+    - type: manhattan_spearman
+      value: 86.50292824173809
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.48780971731246
+    - type: cos_sim_spearman
+      value: 82.79818891852887
+    - type: euclidean_pearson
+      value: 81.93990926192305
+    - type: euclidean_spearman
+      value: 82.79818891852887
+    - type: manhattan_pearson
+      value: 81.97538189750966
+    - type: manhattan_spearman
+      value: 82.88761825524075
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts17-crosslingual-sts
+      name: MTEB STS17 (en-en)
+      config: en-en
+      split: test
+      revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
+    metrics:
+    - type: cos_sim_pearson
+      value: 88.4989925729811
+    - type: cos_sim_spearman
+      value: 88.47370962620529
+    - type: euclidean_pearson
+      value: 88.2312980339956
+    - type: euclidean_spearman
+      value: 88.47370962620529
+    - type: manhattan_pearson
+      value: 88.15570940509707
+    - type: manhattan_spearman
+      value: 88.36900000569275
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (en)
+      config: en
+      split: test
+      revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
+    metrics:
+    - type: cos_sim_pearson
+      value: 63.90740805015967
+    - type: cos_sim_spearman
+      value: 63.968359064784444
+    - type: euclidean_pearson
+      value: 64.67928113832794
+    - type: euclidean_spearman
+      value: 63.968359064784444
+    - type: manhattan_pearson
+      value: 63.92597430517486
+    - type: manhattan_spearman
+      value: 63.31372007361158
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 82.56902991447632
+    - type: cos_sim_spearman
+      value: 83.16262853325924
+    - type: euclidean_pearson
+      value: 83.47693312869555
+    - type: euclidean_spearman
+      value: 83.16266829656969
+    - type: manhattan_pearson
+      value: 83.51067558632968
+    - type: manhattan_spearman
+      value: 83.25136388306153
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 80.1518040851234
+    - type: mrr
+      value: 94.49083052024228
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 50.661
+    - type: map_at_10
+      value: 59.816
+    - type: map_at_100
+      value: 60.412
+    - type: map_at_1000
+      value: 60.446999999999996
+    - type: map_at_3
+      value: 56.567
+    - type: map_at_5
+      value: 58.45
+    - type: mrr_at_1
+      value: 53.667
+    - type: mrr_at_10
+      value: 61.342
+    - type: mrr_at_100
+      value: 61.8
+    - type: mrr_at_1000
+      value: 61.836
+    - type: mrr_at_3
+      value: 59.111000000000004
+    - type: mrr_at_5
+      value: 60.411
+    - type: ndcg_at_1
+      value: 53.667
+    - type: ndcg_at_10
+      value: 64.488
+    - type: ndcg_at_100
+      value: 67.291
+    - type: ndcg_at_1000
+      value: 68.338
+    - type: ndcg_at_3
+      value: 59.101000000000006
+    - type: ndcg_at_5
+      value: 61.812999999999995
+    - type: precision_at_1
+      value: 53.667
+    - type: precision_at_10
+      value: 8.799999999999999
+    - type: precision_at_100
+      value: 1.0330000000000001
+    - type: precision_at_1000
+      value: 0.11199999999999999
+    - type: precision_at_3
+      value: 23.0
+    - type: precision_at_5
+      value: 15.6
+    - type: recall_at_1
+      value: 50.661
+    - type: recall_at_10
+      value: 77.422
+    - type: recall_at_100
+      value: 90.667
+    - type: recall_at_1000
+      value: 99.0
+    - type: recall_at_3
+      value: 63.144
+    - type: recall_at_5
+      value: 69.817
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.81287128712871
+    - type: cos_sim_ap
+      value: 94.91998708151321
+    - type: cos_sim_f1
+      value: 90.36206017338093
+    - type: cos_sim_precision
+      value: 92.19562955254943
+    - type: cos_sim_recall
+      value: 88.6
+    - type: dot_accuracy
+      value: 99.81287128712871
+    - type: dot_ap
+      value: 94.91998708151321
+    - type: dot_f1
+      value: 90.36206017338093
+    - type: dot_precision
+      value: 92.19562955254943
+    - type: dot_recall
+      value: 88.6
+    - type: euclidean_accuracy
+      value: 99.81287128712871
+    - type: euclidean_ap
+      value: 94.9199944407842
+    - type: euclidean_f1
+      value: 90.36206017338093
+    - type: euclidean_precision
+      value: 92.19562955254943
+    - type: euclidean_recall
+      value: 88.6
+    - type: manhattan_accuracy
+      value: 99.8108910891089
+    - type: manhattan_ap
+      value: 94.83783896670839
+    - type: manhattan_f1
+      value: 90.27989821882952
+    - type: manhattan_precision
+      value: 91.91709844559585
+    - type: manhattan_recall
+      value: 88.7
+    - type: max_accuracy
+      value: 99.81287128712871
+    - type: max_ap
+      value: 94.9199944407842
+    - type: max_f1
+      value: 90.36206017338093
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 56.165546412944714
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 34.19894321136813
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 50.02944308369115
+    - type: mrr
+      value: 50.63055714710127
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.3377433394579
+    - type: cos_sim_spearman
+      value: 30.877807383527983
+    - type: dot_pearson
+      value: 31.337752376327405
+    - type: dot_spearman
+      value: 30.877807383527983
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.20500000000000002
+    - type: map_at_10
+      value: 1.6099999999999999
+    - type: map_at_100
+      value: 8.635
+    - type: map_at_1000
+      value: 20.419999999999998
+    - type: map_at_3
+      value: 0.59
+    - type: map_at_5
+      value: 0.9249999999999999
+    - type: mrr_at_1
+      value: 80.0
+    - type: mrr_at_10
+      value: 88.452
+    - type: mrr_at_100
+      value: 88.452
+    - type: mrr_at_1000
+      value: 88.452
+    - type: mrr_at_3
+      value: 87.667
+    - type: mrr_at_5
+      value: 88.167
+    - type: ndcg_at_1
+      value: 77.0
+    - type: ndcg_at_10
+      value: 67.079
+    - type: ndcg_at_100
+      value: 49.937
+    - type: ndcg_at_1000
+      value: 44.031
+    - type: ndcg_at_3
+      value: 73.123
+    - type: ndcg_at_5
+      value: 70.435
+    - type: precision_at_1
+      value: 80.0
+    - type: precision_at_10
+      value: 70.39999999999999
+    - type: precision_at_100
+      value: 51.25999999999999
+    - type: precision_at_1000
+      value: 19.698
+    - type: precision_at_3
+      value: 78.0
+    - type: precision_at_5
+      value: 75.2
+    - type: recall_at_1
+      value: 0.20500000000000002
+    - type: recall_at_10
+      value: 1.8399999999999999
+    - type: recall_at_100
+      value: 11.971
+    - type: recall_at_1000
+      value: 41.042
+    - type: recall_at_3
+      value: 0.632
+    - type: recall_at_5
+      value: 1.008
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.183
+    - type: map_at_10
+      value: 9.58
+    - type: map_at_100
+      value: 16.27
+    - type: map_at_1000
+      value: 17.977999999999998
+    - type: map_at_3
+      value: 4.521
+    - type: map_at_5
+      value: 6.567
+    - type: mrr_at_1
+      value: 12.245000000000001
+    - type: mrr_at_10
+      value: 33.486
+    - type: mrr_at_100
+      value: 34.989
+    - type: mrr_at_1000
+      value: 34.989
+    - type: mrr_at_3
+      value: 28.231
+    - type: mrr_at_5
+      value: 31.701
+    - type: ndcg_at_1
+      value: 9.184000000000001
+    - type: ndcg_at_10
+      value: 22.133
+    - type: ndcg_at_100
+      value: 36.882
+    - type: ndcg_at_1000
+      value: 48.487
+    - type: ndcg_at_3
+      value: 18.971
+    - type: ndcg_at_5
+      value: 20.107
+    - type: precision_at_1
+      value: 12.245000000000001
+    - type: precision_at_10
+      value: 21.837
+    - type: precision_at_100
+      value: 8.265
+    - type: precision_at_1000
+      value: 1.606
+    - type: precision_at_3
+      value: 22.448999999999998
+    - type: precision_at_5
+      value: 23.265
+    - type: recall_at_1
+      value: 1.183
+    - type: recall_at_10
+      value: 17.01
+    - type: recall_at_100
+      value: 51.666000000000004
+    - type: recall_at_1000
+      value: 87.56
+    - type: recall_at_3
+      value: 6.0280000000000005
+    - type: recall_at_5
+      value: 9.937999999999999
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 70.6812
+    - type: ap
+      value: 13.776718216594006
+    - type: f1
+      value: 54.14269849375851
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 57.3372948500283
+    - type: f1
+      value: 57.39381291375
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 41.49681931876514
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.65756690707516
+    - type: cos_sim_ap
+      value: 70.06190309300052
+    - type: cos_sim_f1
+      value: 65.49254432311848
+    - type: cos_sim_precision
+      value: 59.00148085466469
+    - type: cos_sim_recall
+      value: 73.58839050131925
+    - type: dot_accuracy
+      value: 84.65756690707516
+    - type: dot_ap
+      value: 70.06187157356817
+    - type: dot_f1
+      value: 65.49254432311848
+    - type: dot_precision
+      value: 59.00148085466469
+    - type: dot_recall
+      value: 73.58839050131925
+    - type: euclidean_accuracy
+      value: 84.65756690707516
+    - type: euclidean_ap
+      value: 70.06190439203068
+    - type: euclidean_f1
+      value: 65.49254432311848
+    - type: euclidean_precision
+      value: 59.00148085466469
+    - type: euclidean_recall
+      value: 73.58839050131925
+    - type: manhattan_accuracy
+      value: 84.58604041246946
+    - type: manhattan_ap
+      value: 69.93103436414437
+    - type: manhattan_f1
+      value: 65.48780487804878
+    - type: manhattan_precision
+      value: 60.8843537414966
+    - type: manhattan_recall
+      value: 70.84432717678101
+    - type: max_accuracy
+      value: 84.65756690707516
+    - type: max_ap
+      value: 70.06190439203068
+    - type: max_f1
+      value: 65.49254432311848
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 88.78410369852912
+    - type: cos_sim_ap
+      value: 85.45825760499459
+    - type: cos_sim_f1
+      value: 77.73455035163849
+    - type: cos_sim_precision
+      value: 75.5966239813737
+    - type: cos_sim_recall
+      value: 79.9969202340622
+    - type: dot_accuracy
+      value: 88.78410369852912
+    - type: dot_ap
+      value: 85.45825790635979
+    - type: dot_f1
+      value: 77.73455035163849
+    - type: dot_precision
+      value: 75.5966239813737
+    - type: dot_recall
+      value: 79.9969202340622
+    - type: euclidean_accuracy
+      value: 88.78410369852912
+    - type: euclidean_ap
+      value: 85.45826341243391
+    - type: euclidean_f1
+      value: 77.73455035163849
+    - type: euclidean_precision
+      value: 75.5966239813737
+    - type: euclidean_recall
+      value: 79.9969202340622
+    - type: manhattan_accuracy
+      value: 88.7026041060271
+    - type: manhattan_ap
+      value: 85.43182830781821
+    - type: manhattan_f1
+      value: 77.61487303506651
+    - type: manhattan_precision
+      value: 76.20955773226477
+    - type: manhattan_recall
+      value: 79.07299045272559
+    - type: max_accuracy
+      value: 88.78410369852912
+    - type: max_ap
+      value: 85.45826341243391
+    - type: max_f1
+      value: 77.73455035163849