Update README.md

README.md

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 ---
-license: mit
+license: apache-2.0
+pipeline_tag: sentence-similarity
+inference: false
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- mteb
+language: en
+datasets:
+- s2orc
+- flax-sentence-embeddings/stackexchange_title_body_jsonl
+- flax-sentence-embeddings/stackexchange_titlebody_best_voted_answer_jsonl
+- flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl
+- flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl
+- sentence-transformers/reddit-title-body
+- msmarco
+- gooaq
+- yahoo_answers_topics
+- code_search_net
+- search_qa
+- eli5
+- snli
+- multi_nli
+- wikihow
+- natural_questions
+- trivia_qa
+- embedding-data/sentence-compression
+- embedding-data/flickr30k-captions
+- embedding-data/altlex
+- embedding-data/simple-wiki
+- embedding-data/QQP
+- embedding-data/SPECTER
+- embedding-data/PAQ_pairs
+- embedding-data/WikiAnswers
+- sentence-transformers/embedding-training-data
+model-index:
+- name: lodestone-base-4096-v1
+  results:
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_counterfactual
+      name: MTEB AmazonCounterfactualClassification (en)
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+    metrics:
+    - type: accuracy
+      value: 69.7313432835821
+    - type: ap
+      value: 31.618259511417733
+    - type: f1
+      value: 63.30313825394228
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_polarity
+      name: MTEB AmazonPolarityClassification
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+    metrics:
+    - type: accuracy
+      value: 86.89837499999999
+    - type: ap
+      value: 82.39500885672128
+    - type: f1
+      value: 86.87317947399657
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (en)
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 44.05
+    - type: f1
+      value: 42.67624383248947
+  - task:
+      type: Retrieval
+    dataset:
+      type: arguana
+      name: MTEB ArguAna
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.173999999999996
+    - type: map_at_10
+      value: 40.976
+    - type: map_at_100
+      value: 42.067
+    - type: map_at_1000
+      value: 42.075
+    - type: map_at_3
+      value: 35.917
+    - type: map_at_5
+      value: 38.656
+    - type: mrr_at_1
+      value: 26.814
+    - type: mrr_at_10
+      value: 41.252
+    - type: mrr_at_100
+      value: 42.337
+    - type: mrr_at_1000
+      value: 42.345
+    - type: mrr_at_3
+      value: 36.226
+    - type: mrr_at_5
+      value: 38.914
+    - type: ndcg_at_1
+      value: 26.173999999999996
+    - type: ndcg_at_10
+      value: 49.819
+    - type: ndcg_at_100
+      value: 54.403999999999996
+    - type: ndcg_at_1000
+      value: 54.59
+    - type: ndcg_at_3
+      value: 39.231
+    - type: ndcg_at_5
+      value: 44.189
+    - type: precision_at_1
+      value: 26.173999999999996
+    - type: precision_at_10
+      value: 7.838000000000001
+    - type: precision_at_100
+      value: 0.9820000000000001
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 16.287
+    - type: precision_at_5
+      value: 12.191
+    - type: recall_at_1
+      value: 26.173999999999996
+    - type: recall_at_10
+      value: 78.378
+    - type: recall_at_100
+      value: 98.222
+    - type: recall_at_1000
+      value: 99.644
+    - type: recall_at_3
+      value: 48.862
+    - type: recall_at_5
+      value: 60.953
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-p2p
+      name: MTEB ArxivClusteringP2P
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+    metrics:
+    - type: v_measure
+      value: 42.31689035788179
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/arxiv-clustering-s2s
+      name: MTEB ArxivClusteringS2S
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+    metrics:
+    - type: v_measure
+      value: 31.280245136660984
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/askubuntudupquestions-reranking
+      name: MTEB AskUbuntuDupQuestions
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+    metrics:
+    - type: map
+      value: 58.79109720839415
+    - type: mrr
+      value: 71.79615705931495
+  - task:
+      type: STS
+    dataset:
+      type: mteb/biosses-sts
+      name: MTEB BIOSSES
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.44918756608115
+    - type: cos_sim_spearman
+      value: 70.86607256286257
+    - type: euclidean_pearson
+      value: 74.12154678100815
+    - type: euclidean_spearman
+      value: 70.86607256286257
+    - type: manhattan_pearson
+      value: 74.0078626964417
+    - type: manhattan_spearman
+      value: 70.68353828321327
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/banking77
+      name: MTEB Banking77Classification
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+    metrics:
+    - type: accuracy
+      value: 75.40584415584415
+    - type: f1
+      value: 74.29514617572676
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-p2p
+      name: MTEB BiorxivClusteringP2P
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+    metrics:
+    - type: v_measure
+      value: 37.41860080664014
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/biorxiv-clustering-s2s
+      name: MTEB BiorxivClusteringS2S
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+    metrics:
+    - type: v_measure
+      value: 29.319217023090705
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackAndroidRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 26.595000000000002
+    - type: map_at_10
+      value: 36.556
+    - type: map_at_100
+      value: 37.984
+    - type: map_at_1000
+      value: 38.134
+    - type: map_at_3
+      value: 33.417
+    - type: map_at_5
+      value: 35.160000000000004
+    - type: mrr_at_1
+      value: 32.761
+    - type: mrr_at_10
+      value: 41.799
+    - type: mrr_at_100
+      value: 42.526
+    - type: mrr_at_1000
+      value: 42.582
+    - type: mrr_at_3
+      value: 39.39
+    - type: mrr_at_5
+      value: 40.727000000000004
+    - type: ndcg_at_1
+      value: 32.761
+    - type: ndcg_at_10
+      value: 42.549
+    - type: ndcg_at_100
+      value: 47.915
+    - type: ndcg_at_1000
+      value: 50.475
+    - type: ndcg_at_3
+      value: 37.93
+    - type: ndcg_at_5
+      value: 39.939
+    - type: precision_at_1
+      value: 32.761
+    - type: precision_at_10
+      value: 8.312
+    - type: precision_at_100
+      value: 1.403
+    - type: precision_at_1000
+      value: 0.197
+    - type: precision_at_3
+      value: 18.741
+    - type: precision_at_5
+      value: 13.447999999999999
+    - type: recall_at_1
+      value: 26.595000000000002
+    - type: recall_at_10
+      value: 54.332
+    - type: recall_at_100
+      value: 76.936
+    - type: recall_at_1000
+      value: 93.914
+    - type: recall_at_3
+      value: 40.666000000000004
+    - type: recall_at_5
+      value: 46.513
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackEnglishRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.528000000000002
+    - type: map_at_10
+      value: 30.751
+    - type: map_at_100
+      value: 31.855
+    - type: map_at_1000
+      value: 31.972
+    - type: map_at_3
+      value: 28.465
+    - type: map_at_5
+      value: 29.738
+    - type: mrr_at_1
+      value: 28.662
+    - type: mrr_at_10
+      value: 35.912
+    - type: mrr_at_100
+      value: 36.726
+    - type: mrr_at_1000
+      value: 36.777
+    - type: mrr_at_3
+      value: 34.013
+    - type: mrr_at_5
+      value: 35.156
+    - type: ndcg_at_1
+      value: 28.662
+    - type: ndcg_at_10
+      value: 35.452
+    - type: ndcg_at_100
+      value: 40.1
+    - type: ndcg_at_1000
+      value: 42.323
+    - type: ndcg_at_3
+      value: 32.112
+    - type: ndcg_at_5
+      value: 33.638
+    - type: precision_at_1
+      value: 28.662
+    - type: precision_at_10
+      value: 6.688
+    - type: precision_at_100
+      value: 1.13
+    - type: precision_at_1000
+      value: 0.16
+    - type: precision_at_3
+      value: 15.562999999999999
+    - type: precision_at_5
+      value: 11.019
+    - type: recall_at_1
+      value: 22.528000000000002
+    - type: recall_at_10
+      value: 43.748
+    - type: recall_at_100
+      value: 64.235
+    - type: recall_at_1000
+      value: 78.609
+    - type: recall_at_3
+      value: 33.937
+    - type: recall_at_5
+      value: 38.234
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGamingRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 33.117999999999995
+    - type: map_at_10
+      value: 44.339
+    - type: map_at_100
+      value: 45.367000000000004
+    - type: map_at_1000
+      value: 45.437
+    - type: map_at_3
+      value: 41.195
+    - type: map_at_5
+      value: 42.922
+    - type: mrr_at_1
+      value: 38.37
+    - type: mrr_at_10
+      value: 47.786
+    - type: mrr_at_100
+      value: 48.522
+    - type: mrr_at_1000
+      value: 48.567
+    - type: mrr_at_3
+      value: 45.371
+    - type: mrr_at_5
+      value: 46.857
+    - type: ndcg_at_1
+      value: 38.37
+    - type: ndcg_at_10
+      value: 50.019999999999996
+    - type: ndcg_at_100
+      value: 54.36299999999999
+    - type: ndcg_at_1000
+      value: 55.897
+    - type: ndcg_at_3
+      value: 44.733000000000004
+    - type: ndcg_at_5
+      value: 47.292
+    - type: precision_at_1
+      value: 38.37
+    - type: precision_at_10
+      value: 8.288
+    - type: precision_at_100
+      value: 1.139
+    - type: precision_at_1000
+      value: 0.132
+    - type: precision_at_3
+      value: 20.293
+    - type: precision_at_5
+      value: 14.107
+    - type: recall_at_1
+      value: 33.117999999999995
+    - type: recall_at_10
+      value: 63.451
+    - type: recall_at_100
+      value: 82.767
+    - type: recall_at_1000
+      value: 93.786
+    - type: recall_at_3
+      value: 48.964999999999996
+    - type: recall_at_5
+      value: 55.358
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackGisRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 16.028000000000002
+    - type: map_at_10
+      value: 23.186999999999998
+    - type: map_at_100
+      value: 24.236
+    - type: map_at_1000
+      value: 24.337
+    - type: map_at_3
+      value: 20.816000000000003
+    - type: map_at_5
+      value: 22.311
+    - type: mrr_at_1
+      value: 17.514
+    - type: mrr_at_10
+      value: 24.84
+    - type: mrr_at_100
+      value: 25.838
+    - type: mrr_at_1000
+      value: 25.924999999999997
+    - type: mrr_at_3
+      value: 22.542
+    - type: mrr_at_5
+      value: 24.04
+    - type: ndcg_at_1
+      value: 17.514
+    - type: ndcg_at_10
+      value: 27.391
+    - type: ndcg_at_100
+      value: 32.684999999999995
+    - type: ndcg_at_1000
+      value: 35.367
+    - type: ndcg_at_3
+      value: 22.820999999999998
+    - type: ndcg_at_5
+      value: 25.380999999999997
+    - type: precision_at_1
+      value: 17.514
+    - type: precision_at_10
+      value: 4.463
+    - type: precision_at_100
+      value: 0.745
+    - type: precision_at_1000
+      value: 0.101
+    - type: precision_at_3
+      value: 10.019
+    - type: precision_at_5
+      value: 7.457999999999999
+    - type: recall_at_1
+      value: 16.028000000000002
+    - type: recall_at_10
+      value: 38.81
+    - type: recall_at_100
+      value: 63.295
+    - type: recall_at_1000
+      value: 83.762
+    - type: recall_at_3
+      value: 26.604
+    - type: recall_at_5
+      value: 32.727000000000004
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackMathematicaRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.962
+    - type: map_at_10
+      value: 17.218
+    - type: map_at_100
+      value: 18.321
+    - type: map_at_1000
+      value: 18.455
+    - type: map_at_3
+      value: 15.287999999999998
+    - type: map_at_5
+      value: 16.417
+    - type: mrr_at_1
+      value: 14.677000000000001
+    - type: mrr_at_10
+      value: 20.381
+    - type: mrr_at_100
+      value: 21.471999999999998
+    - type: mrr_at_1000
+      value: 21.566
+    - type: mrr_at_3
+      value: 18.448999999999998
+    - type: mrr_at_5
+      value: 19.587
+    - type: ndcg_at_1
+      value: 14.677000000000001
+    - type: ndcg_at_10
+      value: 20.86
+    - type: ndcg_at_100
+      value: 26.519
+    - type: ndcg_at_1000
+      value: 30.020000000000003
+    - type: ndcg_at_3
+      value: 17.208000000000002
+    - type: ndcg_at_5
+      value: 19.037000000000003
+    - type: precision_at_1
+      value: 14.677000000000001
+    - type: precision_at_10
+      value: 3.856
+    - type: precision_at_100
+      value: 0.7889999999999999
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 8.043
+    - type: precision_at_5
+      value: 6.069999999999999
+    - type: recall_at_1
+      value: 11.962
+    - type: recall_at_10
+      value: 28.994999999999997
+    - type: recall_at_100
+      value: 54.071999999999996
+    - type: recall_at_1000
+      value: 79.309
+    - type: recall_at_3
+      value: 19.134999999999998
+    - type: recall_at_5
+      value: 23.727999999999998
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackPhysicsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.764
+    - type: map_at_10
+      value: 31.744
+    - type: map_at_100
+      value: 33.037
+    - type: map_at_1000
+      value: 33.156
+    - type: map_at_3
+      value: 29.015
+    - type: map_at_5
+      value: 30.434
+    - type: mrr_at_1
+      value: 28.296
+    - type: mrr_at_10
+      value: 37.03
+    - type: mrr_at_100
+      value: 37.902
+    - type: mrr_at_1000
+      value: 37.966
+    - type: mrr_at_3
+      value: 34.568
+    - type: mrr_at_5
+      value: 35.786
+    - type: ndcg_at_1
+      value: 28.296
+    - type: ndcg_at_10
+      value: 37.289
+    - type: ndcg_at_100
+      value: 42.787
+    - type: ndcg_at_1000
+      value: 45.382
+    - type: ndcg_at_3
+      value: 32.598
+    - type: ndcg_at_5
+      value: 34.521
+    - type: precision_at_1
+      value: 28.296
+    - type: precision_at_10
+      value: 6.901
+    - type: precision_at_100
+      value: 1.135
+    - type: precision_at_1000
+      value: 0.152
+    - type: precision_at_3
+      value: 15.367
+    - type: precision_at_5
+      value: 11.03
+    - type: recall_at_1
+      value: 22.764
+    - type: recall_at_10
+      value: 48.807
+    - type: recall_at_100
+      value: 71.859
+    - type: recall_at_1000
+      value: 89.606
+    - type: recall_at_3
+      value: 35.594
+    - type: recall_at_5
+      value: 40.541
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackProgrammersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.742
+    - type: map_at_10
+      value: 27.741
+    - type: map_at_100
+      value: 29.323
+    - type: map_at_1000
+      value: 29.438
+    - type: map_at_3
+      value: 25.217
+    - type: map_at_5
+      value: 26.583000000000002
+    - type: mrr_at_1
+      value: 24.657999999999998
+    - type: mrr_at_10
+      value: 32.407000000000004
+    - type: mrr_at_100
+      value: 33.631
+    - type: mrr_at_1000
+      value: 33.686
+    - type: mrr_at_3
+      value: 30.194
+    - type: mrr_at_5
+      value: 31.444
+    - type: ndcg_at_1
+      value: 24.657999999999998
+    - type: ndcg_at_10
+      value: 32.614
+    - type: ndcg_at_100
+      value: 39.61
+    - type: ndcg_at_1000
+      value: 42.114000000000004
+    - type: ndcg_at_3
+      value: 28.516000000000002
+    - type: ndcg_at_5
+      value: 30.274
+    - type: precision_at_1
+      value: 24.657999999999998
+    - type: precision_at_10
+      value: 6.176
+    - type: precision_at_100
+      value: 1.1400000000000001
+    - type: precision_at_1000
+      value: 0.155
+    - type: precision_at_3
+      value: 13.927
+    - type: precision_at_5
+      value: 9.954
+    - type: recall_at_1
+      value: 19.742
+    - type: recall_at_10
+      value: 42.427
+    - type: recall_at_100
+      value: 72.687
+    - type: recall_at_1000
+      value: 89.89
+    - type: recall_at_3
+      value: 30.781
+    - type: recall_at_5
+      value: 35.606
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 19.72608333333333
+    - type: map_at_10
+      value: 27.165333333333336
+    - type: map_at_100
+      value: 28.292499999999997
+    - type: map_at_1000
+      value: 28.416333333333327
+    - type: map_at_3
+      value: 24.783833333333334
+    - type: map_at_5
+      value: 26.101750000000003
+    - type: mrr_at_1
+      value: 23.721500000000002
+    - type: mrr_at_10
+      value: 30.853333333333328
+    - type: mrr_at_100
+      value: 31.741750000000003
+    - type: mrr_at_1000
+      value: 31.812999999999995
+    - type: mrr_at_3
+      value: 28.732249999999997
+    - type: mrr_at_5
+      value: 29.945166666666665
+    - type: ndcg_at_1
+      value: 23.721500000000002
+    - type: ndcg_at_10
+      value: 31.74883333333333
+    - type: ndcg_at_100
+      value: 36.883583333333334
+    - type: ndcg_at_1000
+      value: 39.6145
+    - type: ndcg_at_3
+      value: 27.639583333333334
+    - type: ndcg_at_5
+      value: 29.543666666666667
+    - type: precision_at_1
+      value: 23.721500000000002
+    - type: precision_at_10
+      value: 5.709083333333333
+    - type: precision_at_100
+      value: 0.9859166666666666
+    - type: precision_at_1000
+      value: 0.1413333333333333
+    - type: precision_at_3
+      value: 12.85683333333333
+    - type: precision_at_5
+      value: 9.258166666666668
+    - type: recall_at_1
+      value: 19.72608333333333
+    - type: recall_at_10
+      value: 41.73583333333334
+    - type: recall_at_100
+      value: 64.66566666666668
+    - type: recall_at_1000
+      value: 84.09833333333336
+    - type: recall_at_3
+      value: 30.223083333333328
+    - type: recall_at_5
+      value: 35.153083333333335
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackStatsRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 17.582
+    - type: map_at_10
+      value: 22.803
+    - type: map_at_100
+      value: 23.503
+    - type: map_at_1000
+      value: 23.599999999999998
+    - type: map_at_3
+      value: 21.375
+    - type: map_at_5
+      value: 22.052
+    - type: mrr_at_1
+      value: 20.399
+    - type: mrr_at_10
+      value: 25.369999999999997
+    - type: mrr_at_100
+      value: 26.016000000000002
+    - type: mrr_at_1000
+      value: 26.090999999999998
+    - type: mrr_at_3
+      value: 23.952
+    - type: mrr_at_5
+      value: 24.619
+    - type: ndcg_at_1
+      value: 20.399
+    - type: ndcg_at_10
+      value: 25.964
+    - type: ndcg_at_100
+      value: 29.607
+    - type: ndcg_at_1000
+      value: 32.349
+    - type: ndcg_at_3
+      value: 23.177
+    - type: ndcg_at_5
+      value: 24.276
+    - type: precision_at_1
+      value: 20.399
+    - type: precision_at_10
+      value: 4.018
+    - type: precision_at_100
+      value: 0.629
+    - type: precision_at_1000
+      value: 0.093
+    - type: precision_at_3
+      value: 9.969
+    - type: precision_at_5
+      value: 6.748
+    - type: recall_at_1
+      value: 17.582
+    - type: recall_at_10
+      value: 33.35
+    - type: recall_at_100
+      value: 50.219
+    - type: recall_at_1000
+      value: 71.06099999999999
+    - type: recall_at_3
+      value: 25.619999999999997
+    - type: recall_at_5
+      value: 28.291
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackTexRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.071
+    - type: map_at_10
+      value: 16.201999999999998
+    - type: map_at_100
+      value: 17.112
+    - type: map_at_1000
+      value: 17.238
+    - type: map_at_3
+      value: 14.508
+    - type: map_at_5
+      value: 15.440999999999999
+    - type: mrr_at_1
+      value: 13.833
+    - type: mrr_at_10
+      value: 19.235
+    - type: mrr_at_100
+      value: 20.108999999999998
+    - type: mrr_at_1000
+      value: 20.196
+    - type: mrr_at_3
+      value: 17.515
+    - type: mrr_at_5
+      value: 18.505
+    - type: ndcg_at_1
+      value: 13.833
+    - type: ndcg_at_10
+      value: 19.643
+    - type: ndcg_at_100
+      value: 24.298000000000002
+    - type: ndcg_at_1000
+      value: 27.614
+    - type: ndcg_at_3
+      value: 16.528000000000002
+    - type: ndcg_at_5
+      value: 17.991
+    - type: precision_at_1
+      value: 13.833
+    - type: precision_at_10
+      value: 3.6990000000000003
+    - type: precision_at_100
+      value: 0.713
+    - type: precision_at_1000
+      value: 0.116
+    - type: precision_at_3
+      value: 7.9030000000000005
+    - type: precision_at_5
+      value: 5.891
+    - type: recall_at_1
+      value: 11.071
+    - type: recall_at_10
+      value: 27.019
+    - type: recall_at_100
+      value: 48.404
+    - type: recall_at_1000
+      value: 72.641
+    - type: recall_at_3
+      value: 18.336
+    - type: recall_at_5
+      value: 21.991
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackUnixRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 18.573
+    - type: map_at_10
+      value: 25.008999999999997
+    - type: map_at_100
+      value: 26.015
+    - type: map_at_1000
+      value: 26.137
+    - type: map_at_3
+      value: 22.798
+    - type: map_at_5
+      value: 24.092
+    - type: mrr_at_1
+      value: 22.108
+    - type: mrr_at_10
+      value: 28.646
+    - type: mrr_at_100
+      value: 29.477999999999998
+    - type: mrr_at_1000
+      value: 29.57
+    - type: mrr_at_3
+      value: 26.415
+    - type: mrr_at_5
+      value: 27.693
+    - type: ndcg_at_1
+      value: 22.108
+    - type: ndcg_at_10
+      value: 29.42
+    - type: ndcg_at_100
+      value: 34.385
+    - type: ndcg_at_1000
+      value: 37.572
+    - type: ndcg_at_3
+      value: 25.274
+    - type: ndcg_at_5
+      value: 27.315
+    - type: precision_at_1
+      value: 22.108
+    - type: precision_at_10
+      value: 5.093
+    - type: precision_at_100
+      value: 0.859
+    - type: precision_at_1000
+      value: 0.124
+    - type: precision_at_3
+      value: 11.474
+    - type: precision_at_5
+      value: 8.321000000000002
+    - type: recall_at_1
+      value: 18.573
+    - type: recall_at_10
+      value: 39.433
+    - type: recall_at_100
+      value: 61.597
+    - type: recall_at_1000
+      value: 84.69
+    - type: recall_at_3
+      value: 27.849
+    - type: recall_at_5
+      value: 33.202999999999996
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWebmastersRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 22.807
+    - type: map_at_10
+      value: 30.014000000000003
+    - type: map_at_100
+      value: 31.422
+    - type: map_at_1000
+      value: 31.652
+    - type: map_at_3
+      value: 27.447
+    - type: map_at_5
+      value: 28.711
+    - type: mrr_at_1
+      value: 27.668
+    - type: mrr_at_10
+      value: 34.489
+    - type: mrr_at_100
+      value: 35.453
+    - type: mrr_at_1000
+      value: 35.526
+    - type: mrr_at_3
+      value: 32.477000000000004
+    - type: mrr_at_5
+      value: 33.603
+    - type: ndcg_at_1
+      value: 27.668
+    - type: ndcg_at_10
+      value: 34.983
+    - type: ndcg_at_100
+      value: 40.535
+    - type: ndcg_at_1000
+      value: 43.747
+    - type: ndcg_at_3
+      value: 31.026999999999997
+    - type: ndcg_at_5
+      value: 32.608
+    - type: precision_at_1
+      value: 27.668
+    - type: precision_at_10
+      value: 6.837999999999999
+    - type: precision_at_100
+      value: 1.411
+    - type: precision_at_1000
+      value: 0.23600000000000002
+    - type: precision_at_3
+      value: 14.295
+    - type: precision_at_5
+      value: 10.435
+    - type: recall_at_1
+      value: 22.807
+    - type: recall_at_10
+      value: 43.545
+    - type: recall_at_100
+      value: 69.39800000000001
+    - type: recall_at_1000
+      value: 90.706
+    - type: recall_at_3
+      value: 32.183
+    - type: recall_at_5
+      value: 36.563
+  - task:
+      type: Retrieval
+    dataset:
+      type: BeIR/cqadupstack
+      name: MTEB CQADupstackWordpressRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 13.943
+    - type: map_at_10
+      value: 20.419999999999998
+    - type: map_at_100
+      value: 21.335
+    - type: map_at_1000
+      value: 21.44
+    - type: map_at_3
+      value: 17.865000000000002
+    - type: map_at_5
+      value: 19.36
+    - type: mrr_at_1
+      value: 15.712000000000002
+    - type: mrr_at_10
+      value: 22.345000000000002
+    - type: mrr_at_100
+      value: 23.227999999999998
+    - type: mrr_at_1000
+      value: 23.304
+    - type: mrr_at_3
+      value: 19.901
+    - type: mrr_at_5
+      value: 21.325
+    - type: ndcg_at_1
+      value: 15.712000000000002
+    - type: ndcg_at_10
+      value: 24.801000000000002
+    - type: ndcg_at_100
+      value: 29.799
+    - type: ndcg_at_1000
+      value: 32.513999999999996
+    - type: ndcg_at_3
+      value: 19.750999999999998
+    - type: ndcg_at_5
+      value: 22.252
+    - type: precision_at_1
+      value: 15.712000000000002
+    - type: precision_at_10
+      value: 4.1770000000000005
+    - type: precision_at_100
+      value: 0.738
+    - type: precision_at_1000
+      value: 0.106
+    - type: precision_at_3
+      value: 8.688
+    - type: precision_at_5
+      value: 6.617000000000001
+    - type: recall_at_1
+      value: 13.943
+    - type: recall_at_10
+      value: 36.913000000000004
+    - type: recall_at_100
+      value: 60.519
+    - type: recall_at_1000
+      value: 81.206
+    - type: recall_at_3
+      value: 23.006999999999998
+    - type: recall_at_5
+      value: 29.082
+  - task:
+      type: Retrieval
+    dataset:
+      type: climate-fever
+      name: MTEB ClimateFEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 9.468
+    - type: map_at_10
+      value: 16.029
+    - type: map_at_100
+      value: 17.693
+    - type: map_at_1000
+      value: 17.886
+    - type: map_at_3
+      value: 13.15
+    - type: map_at_5
+      value: 14.568
+    - type: mrr_at_1
+      value: 21.173000000000002
+    - type: mrr_at_10
+      value: 31.028
+    - type: mrr_at_100
+      value: 32.061
+    - type: mrr_at_1000
+      value: 32.119
+    - type: mrr_at_3
+      value: 27.534999999999997
+    - type: mrr_at_5
+      value: 29.431
+    - type: ndcg_at_1
+      value: 21.173000000000002
+    - type: ndcg_at_10
+      value: 23.224
+    - type: ndcg_at_100
+      value: 30.225
+    - type: ndcg_at_1000
+      value: 33.961000000000006
+    - type: ndcg_at_3
+      value: 18.174
+    - type: ndcg_at_5
+      value: 19.897000000000002
+    - type: precision_at_1
+      value: 21.173000000000002
+    - type: precision_at_10
+      value: 7.4719999999999995
+    - type: precision_at_100
+      value: 1.5010000000000001
+    - type: precision_at_1000
+      value: 0.219
+    - type: precision_at_3
+      value: 13.312
+    - type: precision_at_5
+      value: 10.619
+    - type: recall_at_1
+      value: 9.468
+    - type: recall_at_10
+      value: 28.823
+    - type: recall_at_100
+      value: 53.26499999999999
+    - type: recall_at_1000
+      value: 74.536
+    - type: recall_at_3
+      value: 16.672
+    - type: recall_at_5
+      value: 21.302
+  - task:
+      type: Retrieval
+    dataset:
+      type: dbpedia-entity
+      name: MTEB DBPedia
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 6.343
+    - type: map_at_10
+      value: 12.717
+    - type: map_at_100
+      value: 16.48
+    - type: map_at_1000
+      value: 17.381
+    - type: map_at_3
+      value: 9.568999999999999
+    - type: map_at_5
+      value: 11.125
+    - type: mrr_at_1
+      value: 48.75
+    - type: mrr_at_10
+      value: 58.425000000000004
+    - type: mrr_at_100
+      value: 59.075
+    - type: mrr_at_1000
+      value: 59.095
+    - type: mrr_at_3
+      value: 56.291999999999994
+    - type: mrr_at_5
+      value: 57.679
+    - type: ndcg_at_1
+      value: 37.875
+    - type: ndcg_at_10
+      value: 27.77
+    - type: ndcg_at_100
+      value: 30.288999999999998
+    - type: ndcg_at_1000
+      value: 36.187999999999995
+    - type: ndcg_at_3
+      value: 31.385999999999996
+    - type: ndcg_at_5
+      value: 29.923
+    - type: precision_at_1
+      value: 48.75
+    - type: precision_at_10
+      value: 22.375
+    - type: precision_at_100
+      value: 6.3420000000000005
+    - type: precision_at_1000
+      value: 1.4489999999999998
+    - type: precision_at_3
+      value: 35.5
+    - type: precision_at_5
+      value: 30.55
+    - type: recall_at_1
+      value: 6.343
+    - type: recall_at_10
+      value: 16.936
+    - type: recall_at_100
+      value: 35.955999999999996
+    - type: recall_at_1000
+      value: 55.787
+    - type: recall_at_3
+      value: 10.771
+    - type: recall_at_5
+      value: 13.669999999999998
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/emotion
+      name: MTEB EmotionClassification
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+    metrics:
+    - type: accuracy
+      value: 41.99
+    - type: f1
+      value: 36.823402174564954
+  - task:
+      type: Retrieval
+    dataset:
+      type: fever
+      name: MTEB FEVER
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 40.088
+    - type: map_at_10
+      value: 52.69200000000001
+    - type: map_at_100
+      value: 53.296
+    - type: map_at_1000
+      value: 53.325
+    - type: map_at_3
+      value: 49.905
+    - type: map_at_5
+      value: 51.617000000000004
+    - type: mrr_at_1
+      value: 43.009
+    - type: mrr_at_10
+      value: 56.203
+    - type: mrr_at_100
+      value: 56.75
+    - type: mrr_at_1000
+      value: 56.769000000000005
+    - type: mrr_at_3
+      value: 53.400000000000006
+    - type: mrr_at_5
+      value: 55.163
+    - type: ndcg_at_1
+      value: 43.009
+    - type: ndcg_at_10
+      value: 59.39
+    - type: ndcg_at_100
+      value: 62.129999999999995
+    - type: ndcg_at_1000
+      value: 62.793
+    - type: ndcg_at_3
+      value: 53.878
+    - type: ndcg_at_5
+      value: 56.887
+    - type: precision_at_1
+      value: 43.009
+    - type: precision_at_10
+      value: 8.366
+    - type: precision_at_100
+      value: 0.983
+    - type: precision_at_1000
+      value: 0.105
+    - type: precision_at_3
+      value: 22.377
+    - type: precision_at_5
+      value: 15.035000000000002
+    - type: recall_at_1
+      value: 40.088
+    - type: recall_at_10
+      value: 76.68700000000001
+    - type: recall_at_100
+      value: 88.91
+    - type: recall_at_1000
+      value: 93.782
+    - type: recall_at_3
+      value: 61.809999999999995
+    - type: recall_at_5
+      value: 69.131
+  - task:
+      type: Retrieval
+    dataset:
+      type: fiqa
+      name: MTEB FiQA2018
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 10.817
+    - type: map_at_10
+      value: 18.9
+    - type: map_at_100
+      value: 20.448
+    - type: map_at_1000
+      value: 20.660999999999998
+    - type: map_at_3
+      value: 15.979
+    - type: map_at_5
+      value: 17.415
+    - type: mrr_at_1
+      value: 23.148
+    - type: mrr_at_10
+      value: 31.208000000000002
+    - type: mrr_at_100
+      value: 32.167
+    - type: mrr_at_1000
+      value: 32.242
+    - type: mrr_at_3
+      value: 28.498
+    - type: mrr_at_5
+      value: 29.964000000000002
+    - type: ndcg_at_1
+      value: 23.148
+    - type: ndcg_at_10
+      value: 25.325999999999997
+    - type: ndcg_at_100
+      value: 31.927
+    - type: ndcg_at_1000
+      value: 36.081
+    - type: ndcg_at_3
+      value: 21.647
+    - type: ndcg_at_5
+      value: 22.762999999999998
+    - type: precision_at_1
+      value: 23.148
+    - type: precision_at_10
+      value: 7.546
+    - type: precision_at_100
+      value: 1.415
+    - type: precision_at_1000
+      value: 0.216
+    - type: precision_at_3
+      value: 14.969
+    - type: precision_at_5
+      value: 11.327
+    - type: recall_at_1
+      value: 10.817
+    - type: recall_at_10
+      value: 32.164
+    - type: recall_at_100
+      value: 57.655
+    - type: recall_at_1000
+      value: 82.797
+    - type: recall_at_3
+      value: 19.709
+    - type: recall_at_5
+      value: 24.333
+  - task:
+      type: Retrieval
+    dataset:
+      type: hotpotqa
+      name: MTEB HotpotQA
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 25.380999999999997
+    - type: map_at_10
+      value: 33.14
+    - type: map_at_100
+      value: 33.948
+    - type: map_at_1000
+      value: 34.028000000000006
+    - type: map_at_3
+      value: 31.019999999999996
+    - type: map_at_5
+      value: 32.23
+    - type: mrr_at_1
+      value: 50.763000000000005
+    - type: mrr_at_10
+      value: 57.899
+    - type: mrr_at_100
+      value: 58.426
+    - type: mrr_at_1000
+      value: 58.457
+    - type: mrr_at_3
+      value: 56.093
+    - type: mrr_at_5
+      value: 57.116
+    - type: ndcg_at_1
+      value: 50.763000000000005
+    - type: ndcg_at_10
+      value: 41.656
+    - type: ndcg_at_100
+      value: 45.079
+    - type: ndcg_at_1000
+      value: 46.916999999999994
+    - type: ndcg_at_3
+      value: 37.834
+    - type: ndcg_at_5
+      value: 39.732
+    - type: precision_at_1
+      value: 50.763000000000005
+    - type: precision_at_10
+      value: 8.648
+    - type: precision_at_100
+      value: 1.135
+    - type: precision_at_1000
+      value: 0.13799999999999998
+    - type: precision_at_3
+      value: 23.105999999999998
+    - type: precision_at_5
+      value: 15.363
+    - type: recall_at_1
+      value: 25.380999999999997
+    - type: recall_at_10
+      value: 43.241
+    - type: recall_at_100
+      value: 56.745000000000005
+    - type: recall_at_1000
+      value: 69.048
+    - type: recall_at_3
+      value: 34.659
+    - type: recall_at_5
+      value: 38.406
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/imdb
+      name: MTEB ImdbClassification
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+    metrics:
+    - type: accuracy
+      value: 79.544
+    - type: ap
+      value: 73.82920133396664
+    - type: f1
+      value: 79.51048124883265
+  - task:
+      type: Retrieval
+    dataset:
+      type: msmarco
+      name: MTEB MSMARCO
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 11.174000000000001
+    - type: map_at_10
+      value: 19.451999999999998
+    - type: map_at_100
+      value: 20.612
+    - type: map_at_1000
+      value: 20.703
+    - type: map_at_3
+      value: 16.444
+    - type: map_at_5
+      value: 18.083
+    - type: mrr_at_1
+      value: 11.447000000000001
+    - type: mrr_at_10
+      value: 19.808
+    - type: mrr_at_100
+      value: 20.958
+    - type: mrr_at_1000
+      value: 21.041999999999998
+    - type: mrr_at_3
+      value: 16.791
+    - type: mrr_at_5
+      value: 18.459
+    - type: ndcg_at_1
+      value: 11.447000000000001
+    - type: ndcg_at_10
+      value: 24.556
+    - type: ndcg_at_100
+      value: 30.637999999999998
+    - type: ndcg_at_1000
+      value: 33.14
+    - type: ndcg_at_3
+      value: 18.325
+    - type: ndcg_at_5
+      value: 21.278
+    - type: precision_at_1
+      value: 11.447000000000001
+    - type: precision_at_10
+      value: 4.215
+    - type: precision_at_100
+      value: 0.732
+    - type: precision_at_1000
+      value: 0.095
+    - type: precision_at_3
+      value: 8.052
+    - type: precision_at_5
+      value: 6.318
+    - type: recall_at_1
+      value: 11.174000000000001
+    - type: recall_at_10
+      value: 40.543
+    - type: recall_at_100
+      value: 69.699
+    - type: recall_at_1000
+      value: 89.403
+    - type: recall_at_3
+      value: 23.442
+    - type: recall_at_5
+      value: 30.536
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (en)
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 89.6671226630187
+    - type: f1
+      value: 89.57660424361246
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (en)
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 60.284997720018254
+    - type: f1
+      value: 40.30637400152823
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (en)
+      config: en
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 63.33557498318763
+    - type: f1
+      value: 60.24039910680179
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (en)
+      config: en
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 72.37390719569603
+    - type: f1
+      value: 72.33097333477316
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-p2p
+      name: MTEB MedrxivClusteringP2P
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+    metrics:
+    - type: v_measure
+      value: 34.68158939060552
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/medrxiv-clustering-s2s
+      name: MTEB MedrxivClusteringS2S
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+    metrics:
+    - type: v_measure
+      value: 30.340061711905236
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/mind_small
+      name: MTEB MindSmallReranking
+      config: default
+      split: test
+      revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
+    metrics:
+    - type: map
+      value: 32.01814326295803
+    - type: mrr
+      value: 33.20555240055367
+  - task:
+      type: Retrieval
+    dataset:
+      type: nfcorpus
+      name: MTEB NFCorpus
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.3910000000000005
+    - type: map_at_10
+      value: 7.7219999999999995
+    - type: map_at_100
+      value: 10.286
+    - type: map_at_1000
+      value: 11.668000000000001
+    - type: map_at_3
+      value: 5.552
+    - type: map_at_5
+      value: 6.468
+    - type: mrr_at_1
+      value: 34.365
+    - type: mrr_at_10
+      value: 42.555
+    - type: mrr_at_100
+      value: 43.295
+    - type: mrr_at_1000
+      value: 43.357
+    - type: mrr_at_3
+      value: 40.299
+    - type: mrr_at_5
+      value: 41.182
+    - type: ndcg_at_1
+      value: 31.424000000000003
+    - type: ndcg_at_10
+      value: 24.758
+    - type: ndcg_at_100
+      value: 23.677999999999997
+    - type: ndcg_at_1000
+      value: 33.377
+    - type: ndcg_at_3
+      value: 28.302
+    - type: ndcg_at_5
+      value: 26.342
+    - type: precision_at_1
+      value: 33.437
+    - type: precision_at_10
+      value: 19.256999999999998
+    - type: precision_at_100
+      value: 6.662999999999999
+    - type: precision_at_1000
+      value: 1.9900000000000002
+    - type: precision_at_3
+      value: 27.761000000000003
+    - type: precision_at_5
+      value: 23.715
+    - type: recall_at_1
+      value: 3.3910000000000005
+    - type: recall_at_10
+      value: 11.068
+    - type: recall_at_100
+      value: 25.878
+    - type: recall_at_1000
+      value: 60.19
+    - type: recall_at_3
+      value: 6.1690000000000005
+    - type: recall_at_5
+      value: 7.767
+  - task:
+      type: Retrieval
+    dataset:
+      type: nq
+      name: MTEB NQ
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 15.168000000000001
+    - type: map_at_10
+      value: 26.177
+    - type: map_at_100
+      value: 27.564
+    - type: map_at_1000
+      value: 27.628999999999998
+    - type: map_at_3
+      value: 22.03
+    - type: map_at_5
+      value: 24.276
+    - type: mrr_at_1
+      value: 17.439
+    - type: mrr_at_10
+      value: 28.205000000000002
+    - type: mrr_at_100
+      value: 29.357
+    - type: mrr_at_1000
+      value: 29.408
+    - type: mrr_at_3
+      value: 24.377
+    - type: mrr_at_5
+      value: 26.540000000000003
+    - type: ndcg_at_1
+      value: 17.41
+    - type: ndcg_at_10
+      value: 32.936
+    - type: ndcg_at_100
+      value: 39.196999999999996
+    - type: ndcg_at_1000
+      value: 40.892
+    - type: ndcg_at_3
+      value: 24.721
+    - type: ndcg_at_5
+      value: 28.615000000000002
+    - type: precision_at_1
+      value: 17.41
+    - type: precision_at_10
+      value: 6.199000000000001
+    - type: precision_at_100
+      value: 0.9690000000000001
+    - type: precision_at_1000
+      value: 0.11299999999999999
+    - type: precision_at_3
+      value: 11.790000000000001
+    - type: precision_at_5
+      value: 9.264
+    - type: recall_at_1
+      value: 15.168000000000001
+    - type: recall_at_10
+      value: 51.914
+    - type: recall_at_100
+      value: 79.804
+    - type: recall_at_1000
+      value: 92.75999999999999
+    - type: recall_at_3
+      value: 30.212
+    - type: recall_at_5
+      value: 39.204
+  - task:
+      type: Retrieval
+    dataset:
+      type: quora
+      name: MTEB QuoraRetrieval
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 67.306
+    - type: map_at_10
+      value: 80.634
+    - type: map_at_100
+      value: 81.349
+    - type: map_at_1000
+      value: 81.37299999999999
+    - type: map_at_3
+      value: 77.691
+    - type: map_at_5
+      value: 79.512
+    - type: mrr_at_1
+      value: 77.56
+    - type: mrr_at_10
+      value: 84.177
+    - type: mrr_at_100
+      value: 84.35000000000001
+    - type: mrr_at_1000
+      value: 84.353
+    - type: mrr_at_3
+      value: 83.003
+    - type: mrr_at_5
+      value: 83.799
+    - type: ndcg_at_1
+      value: 77.58
+    - type: ndcg_at_10
+      value: 84.782
+    - type: ndcg_at_100
+      value: 86.443
+    - type: ndcg_at_1000
+      value: 86.654
+    - type: ndcg_at_3
+      value: 81.67
+    - type: ndcg_at_5
+      value: 83.356
+    - type: precision_at_1
+      value: 77.58
+    - type: precision_at_10
+      value: 12.875
+    - type: precision_at_100
+      value: 1.503
+    - type: precision_at_1000
+      value: 0.156
+    - type: precision_at_3
+      value: 35.63
+    - type: precision_at_5
+      value: 23.483999999999998
+    - type: recall_at_1
+      value: 67.306
+    - type: recall_at_10
+      value: 92.64
+    - type: recall_at_100
+      value: 98.681
+    - type: recall_at_1000
+      value: 99.79
+    - type: recall_at_3
+      value: 83.682
+    - type: recall_at_5
+      value: 88.424
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering
+      name: MTEB RedditClustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+    metrics:
+    - type: v_measure
+      value: 50.76319866126382
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/reddit-clustering-p2p
+      name: MTEB RedditClusteringP2P
+      config: default
+      split: test
+      revision: 282350215ef01743dc01b456c7f5241fa8937f16
+    metrics:
+    - type: v_measure
+      value: 55.024711941648995
+  - task:
+      type: Retrieval
+    dataset:
+      type: scidocs
+      name: MTEB SCIDOCS
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 3.9379999999999997
+    - type: map_at_10
+      value: 8.817
+    - type: map_at_100
+      value: 10.546999999999999
+    - type: map_at_1000
+      value: 10.852
+    - type: map_at_3
+      value: 6.351999999999999
+    - type: map_at_5
+      value: 7.453
+    - type: mrr_at_1
+      value: 19.400000000000002
+    - type: mrr_at_10
+      value: 27.371000000000002
+    - type: mrr_at_100
+      value: 28.671999999999997
+    - type: mrr_at_1000
+      value: 28.747
+    - type: mrr_at_3
+      value: 24.583
+    - type: mrr_at_5
+      value: 26.143
+    - type: ndcg_at_1
+      value: 19.400000000000002
+    - type: ndcg_at_10
+      value: 15.264
+    - type: ndcg_at_100
+      value: 22.63
+    - type: ndcg_at_1000
+      value: 28.559
+    - type: ndcg_at_3
+      value: 14.424999999999999
+    - type: ndcg_at_5
+      value: 12.520000000000001
+    - type: precision_at_1
+      value: 19.400000000000002
+    - type: precision_at_10
+      value: 7.8100000000000005
+    - type: precision_at_100
+      value: 1.854
+    - type: precision_at_1000
+      value: 0.329
+    - type: precision_at_3
+      value: 13.100000000000001
+    - type: precision_at_5
+      value: 10.68
+    - type: recall_at_1
+      value: 3.9379999999999997
+    - type: recall_at_10
+      value: 15.903
+    - type: recall_at_100
+      value: 37.645
+    - type: recall_at_1000
+      value: 66.86
+    - type: recall_at_3
+      value: 7.993
+    - type: recall_at_5
+      value: 10.885
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sickr-sts
+      name: MTEB SICK-R
+      config: default
+      split: test
+      revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.12689060151425
+    - type: cos_sim_spearman
+      value: 70.46515535094771
+    - type: euclidean_pearson
+      value: 77.17160003557223
+    - type: euclidean_spearman
+      value: 70.4651757047438
+    - type: manhattan_pearson
+      value: 77.18129609281937
+    - type: manhattan_spearman
+      value: 70.46610403752913
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts12-sts
+      name: MTEB STS12
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+    metrics:
+    - type: cos_sim_pearson
+      value: 70.451157033355
+    - type: cos_sim_spearman
+      value: 63.99899601697852
+    - type: euclidean_pearson
+      value: 67.46985359967678
+    - type: euclidean_spearman
+      value: 64.00001637764805
+    - type: manhattan_pearson
+      value: 67.56534741780037
+    - type: manhattan_spearman
+      value: 64.06533893575366
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts13-sts
+      name: MTEB STS13
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.65086614464292
+    - type: cos_sim_spearman
+      value: 78.20169706921848
+    - type: euclidean_pearson
+      value: 77.77758172155283
+    - type: euclidean_spearman
+      value: 78.20169706921848
+    - type: manhattan_pearson
+      value: 77.75077884860052
+    - type: manhattan_spearman
+      value: 78.16875216484164
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts14-sts
+      name: MTEB STS14
+      config: default
+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.26381598259717
+    - type: cos_sim_spearman
+      value: 70.78377709313477
+    - type: euclidean_pearson
+      value: 74.82646556532096
+    - type: euclidean_spearman
+      value: 70.78377658155212
+    - type: manhattan_pearson
+      value: 74.81784766108225
+    - type: manhattan_spearman
+      value: 70.79351454692176
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts15-sts
+      name: MTEB STS15
+      config: default
+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.00532026789739
+    - type: cos_sim_spearman
+      value: 80.02708383244838
+    - type: euclidean_pearson
+      value: 79.48345422610525
+    - type: euclidean_spearman
+      value: 80.02708383244838
+    - type: manhattan_pearson
+      value: 79.44519739854803
+    - type: manhattan_spearman
+      value: 79.98344094559687
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts16-sts
+      name: MTEB STS16
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+    metrics:
+    - type: cos_sim_pearson
+      value: 77.32783048164805
+    - type: cos_sim_spearman
+      value: 78.79729961288045
+    - type: euclidean_pearson
+      value: 78.72111945793154
+    - type: euclidean_spearman
+      value: 78.79729904606872
+    - type: manhattan_pearson
+      value: 78.72464311117116
+    - type: manhattan_spearman
+      value: 78.822591248334
+  - 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: 82.04318630630854
+    - type: cos_sim_spearman
+      value: 83.87886389259836
+    - type: euclidean_pearson
+      value: 83.40385877895086
+    - type: euclidean_spearman
+      value: 83.87886389259836
+    - type: manhattan_pearson
+      value: 83.46337128901547
+    - type: manhattan_spearman
+      value: 83.9723106941644
+  - 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: 63.003511169944595
+    - type: cos_sim_spearman
+      value: 64.39318805580227
+    - type: euclidean_pearson
+      value: 65.4797990735967
+    - type: euclidean_spearman
+      value: 64.39318805580227
+    - type: manhattan_pearson
+      value: 65.44604544280844
+    - type: manhattan_spearman
+      value: 64.38742899984233
+  - task:
+      type: STS
+    dataset:
+      type: mteb/stsbenchmark-sts
+      name: MTEB STSBenchmark
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+    metrics:
+    - type: cos_sim_pearson
+      value: 76.63101237585029
+    - type: cos_sim_spearman
+      value: 75.57446967644269
+    - type: euclidean_pearson
+      value: 76.93491768734478
+    - type: euclidean_spearman
+      value: 75.57446967644269
+    - type: manhattan_pearson
+      value: 76.92187567800636
+    - type: manhattan_spearman
+      value: 75.57239337194585
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/scidocs-reranking
+      name: MTEB SciDocsRR
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+    metrics:
+    - type: map
+      value: 78.5376604868993
+    - type: mrr
+      value: 92.94422897364073
+  - task:
+      type: Retrieval
+    dataset:
+      type: scifact
+      name: MTEB SciFact
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 38.872
+    - type: map_at_10
+      value: 50.417
+    - type: map_at_100
+      value: 51.202000000000005
+    - type: map_at_1000
+      value: 51.25999999999999
+    - type: map_at_3
+      value: 47.02
+    - type: map_at_5
+      value: 49.326
+    - type: mrr_at_1
+      value: 41.0
+    - type: mrr_at_10
+      value: 51.674
+    - type: mrr_at_100
+      value: 52.32599999999999
+    - type: mrr_at_1000
+      value: 52.376999999999995
+    - type: mrr_at_3
+      value: 48.778
+    - type: mrr_at_5
+      value: 50.744
+    - type: ndcg_at_1
+      value: 41.0
+    - type: ndcg_at_10
+      value: 56.027
+    - type: ndcg_at_100
+      value: 59.362
+    - type: ndcg_at_1000
+      value: 60.839
+    - type: ndcg_at_3
+      value: 50.019999999999996
+    - type: ndcg_at_5
+      value: 53.644999999999996
+    - type: precision_at_1
+      value: 41.0
+    - type: precision_at_10
+      value: 8.1
+    - type: precision_at_100
+      value: 0.987
+    - type: precision_at_1000
+      value: 0.11100000000000002
+    - type: precision_at_3
+      value: 20.444000000000003
+    - type: precision_at_5
+      value: 14.466999999999999
+    - type: recall_at_1
+      value: 38.872
+    - type: recall_at_10
+      value: 71.906
+    - type: recall_at_100
+      value: 86.367
+    - type: recall_at_1000
+      value: 98.0
+    - type: recall_at_3
+      value: 56.206
+    - type: recall_at_5
+      value: 65.05
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/sprintduplicatequestions-pairclassification
+      name: MTEB SprintDuplicateQuestions
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+    metrics:
+    - type: cos_sim_accuracy
+      value: 99.7039603960396
+    - type: cos_sim_ap
+      value: 90.40809844250262
+    - type: cos_sim_f1
+      value: 84.53181583031557
+    - type: cos_sim_precision
+      value: 87.56698821007502
+    - type: cos_sim_recall
+      value: 81.69999999999999
+    - type: dot_accuracy
+      value: 99.7039603960396
+    - type: dot_ap
+      value: 90.40809844250262
+    - type: dot_f1
+      value: 84.53181583031557
+    - type: dot_precision
+      value: 87.56698821007502
+    - type: dot_recall
+      value: 81.69999999999999
+    - type: euclidean_accuracy
+      value: 99.7039603960396
+    - type: euclidean_ap
+      value: 90.4080982863383
+    - type: euclidean_f1
+      value: 84.53181583031557
+    - type: euclidean_precision
+      value: 87.56698821007502
+    - type: euclidean_recall
+      value: 81.69999999999999
+    - type: manhattan_accuracy
+      value: 99.7
+    - type: manhattan_ap
+      value: 90.39771161966652
+    - type: manhattan_f1
+      value: 84.32989690721648
+    - type: manhattan_precision
+      value: 87.02127659574468
+    - type: manhattan_recall
+      value: 81.8
+    - type: max_accuracy
+      value: 99.7039603960396
+    - type: max_ap
+      value: 90.40809844250262
+    - type: max_f1
+      value: 84.53181583031557
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering
+      name: MTEB StackExchangeClustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+    metrics:
+    - type: v_measure
+      value: 59.663210666678715
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/stackexchange-clustering-p2p
+      name: MTEB StackExchangeClusteringP2P
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+    metrics:
+    - type: v_measure
+      value: 32.107791216468776
+  - task:
+      type: Reranking
+    dataset:
+      type: mteb/stackoverflowdupquestions-reranking
+      name: MTEB StackOverflowDupQuestions
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+    metrics:
+    - type: map
+      value: 46.440691925067604
+    - type: mrr
+      value: 47.03390257618199
+  - task:
+      type: Summarization
+    dataset:
+      type: mteb/summeval
+      name: MTEB SummEval
+      config: default
+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+    metrics:
+    - type: cos_sim_pearson
+      value: 31.067177519784074
+    - type: cos_sim_spearman
+      value: 31.234728424648967
+    - type: dot_pearson
+      value: 31.06717083018107
+    - type: dot_spearman
+      value: 31.234728424648967
+  - task:
+      type: Retrieval
+    dataset:
+      type: trec-covid
+      name: MTEB TRECCOVID
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 0.136
+    - type: map_at_10
+      value: 0.767
+    - type: map_at_100
+      value: 3.3689999999999998
+    - type: map_at_1000
+      value: 8.613999999999999
+    - type: map_at_3
+      value: 0.369
+    - type: map_at_5
+      value: 0.514
+    - type: mrr_at_1
+      value: 48.0
+    - type: mrr_at_10
+      value: 63.908
+    - type: mrr_at_100
+      value: 64.615
+    - type: mrr_at_1000
+      value: 64.615
+    - type: mrr_at_3
+      value: 62.0
+    - type: mrr_at_5
+      value: 63.4
+    - type: ndcg_at_1
+      value: 44.0
+    - type: ndcg_at_10
+      value: 38.579
+    - type: ndcg_at_100
+      value: 26.409
+    - type: ndcg_at_1000
+      value: 26.858999999999998
+    - type: ndcg_at_3
+      value: 47.134
+    - type: ndcg_at_5
+      value: 43.287
+    - type: precision_at_1
+      value: 48.0
+    - type: precision_at_10
+      value: 40.400000000000006
+    - type: precision_at_100
+      value: 26.640000000000004
+    - type: precision_at_1000
+      value: 12.04
+    - type: precision_at_3
+      value: 52.666999999999994
+    - type: precision_at_5
+      value: 46.800000000000004
+    - type: recall_at_1
+      value: 0.136
+    - type: recall_at_10
+      value: 1.0070000000000001
+    - type: recall_at_100
+      value: 6.318
+    - type: recall_at_1000
+      value: 26.522000000000002
+    - type: recall_at_3
+      value: 0.41700000000000004
+    - type: recall_at_5
+      value: 0.606
+  - task:
+      type: Retrieval
+    dataset:
+      type: webis-touche2020
+      name: MTEB Touche2020
+      config: default
+      split: test
+      revision: None
+    metrics:
+    - type: map_at_1
+      value: 1.9949999999999999
+    - type: map_at_10
+      value: 8.304
+    - type: map_at_100
+      value: 13.644
+    - type: map_at_1000
+      value: 15.43
+    - type: map_at_3
+      value: 4.788
+    - type: map_at_5
+      value: 6.22
+    - type: mrr_at_1
+      value: 22.448999999999998
+    - type: mrr_at_10
+      value: 37.658
+    - type: mrr_at_100
+      value: 38.491
+    - type: mrr_at_1000
+      value: 38.503
+    - type: mrr_at_3
+      value: 32.312999999999995
+    - type: mrr_at_5
+      value: 35.68
+    - type: ndcg_at_1
+      value: 21.429000000000002
+    - type: ndcg_at_10
+      value: 18.995
+    - type: ndcg_at_100
+      value: 32.029999999999994
+    - type: ndcg_at_1000
+      value: 44.852
+    - type: ndcg_at_3
+      value: 19.464000000000002
+    - type: ndcg_at_5
+      value: 19.172
+    - type: precision_at_1
+      value: 22.448999999999998
+    - type: precision_at_10
+      value: 17.143
+    - type: precision_at_100
+      value: 6.877999999999999
+    - type: precision_at_1000
+      value: 1.524
+    - type: precision_at_3
+      value: 21.769
+    - type: precision_at_5
+      value: 20.0
+    - type: recall_at_1
+      value: 1.9949999999999999
+    - type: recall_at_10
+      value: 13.395999999999999
+    - type: recall_at_100
+      value: 44.348
+    - type: recall_at_1000
+      value: 82.622
+    - type: recall_at_3
+      value: 5.896
+    - type: recall_at_5
+      value: 8.554
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/toxic_conversations_50k
+      name: MTEB ToxicConversationsClassification
+      config: default
+      split: test
+      revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
+    metrics:
+    - type: accuracy
+      value: 67.9394
+    - type: ap
+      value: 12.943337263423334
+    - type: f1
+      value: 52.28243093094156
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/tweet_sentiment_extraction
+      name: MTEB TweetSentimentExtractionClassification
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+    metrics:
+    - type: accuracy
+      value: 56.414827391058296
+    - type: f1
+      value: 56.666412409573105
+  - task:
+      type: Clustering
+    dataset:
+      type: mteb/twentynewsgroups-clustering
+      name: MTEB TwentyNewsgroupsClustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+    metrics:
+    - type: v_measure
+      value: 47.009746255495465
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twittersemeval2015-pairclassification
+      name: MTEB TwitterSemEval2015
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+    metrics:
+    - type: cos_sim_accuracy
+      value: 84.02574953805807
+    - type: cos_sim_ap
+      value: 67.66599910763128
+    - type: cos_sim_f1
+      value: 63.491277990844985
+    - type: cos_sim_precision
+      value: 59.77172140694154
+    - type: cos_sim_recall
+      value: 67.70448548812665
+    - type: dot_accuracy
+      value: 84.02574953805807
+    - type: dot_ap
+      value: 67.66600090945406
+    - type: dot_f1
+      value: 63.491277990844985
+    - type: dot_precision
+      value: 59.77172140694154
+    - type: dot_recall
+      value: 67.70448548812665
+    - type: euclidean_accuracy
+      value: 84.02574953805807
+    - type: euclidean_ap
+      value: 67.6659842364448
+    - type: euclidean_f1
+      value: 63.491277990844985
+    - type: euclidean_precision
+      value: 59.77172140694154
+    - type: euclidean_recall
+      value: 67.70448548812665
+    - type: manhattan_accuracy
+      value: 84.0317100792752
+    - type: manhattan_ap
+      value: 67.66351692448987
+    - type: manhattan_f1
+      value: 63.48610948306178
+    - type: manhattan_precision
+      value: 57.11875131828729
+    - type: manhattan_recall
+      value: 71.45118733509234
+    - type: max_accuracy
+      value: 84.0317100792752
+    - type: max_ap
+      value: 67.66600090945406
+    - type: max_f1
+      value: 63.491277990844985
+  - task:
+      type: PairClassification
+    dataset:
+      type: mteb/twitterurlcorpus-pairclassification
+      name: MTEB TwitterURLCorpus
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+    metrics:
+    - type: cos_sim_accuracy
+      value: 87.53832421314084
+    - type: cos_sim_ap
+      value: 83.11416594316626
+    - type: cos_sim_f1
+      value: 75.41118114347518
+    - type: cos_sim_precision
+      value: 73.12839059674504
+    - type: cos_sim_recall
+      value: 77.8410840776101
+    - type: dot_accuracy
+      value: 87.53832421314084
+    - type: dot_ap
+      value: 83.11416226342155
+    - type: dot_f1
+      value: 75.41118114347518
+    - type: dot_precision
+      value: 73.12839059674504
+    - type: dot_recall
+      value: 77.8410840776101
+    - type: euclidean_accuracy
+      value: 87.53832421314084
+    - type: euclidean_ap
+      value: 83.11416284455395
+    - type: euclidean_f1
+      value: 75.41118114347518
+    - type: euclidean_precision
+      value: 73.12839059674504
+    - type: euclidean_recall
+      value: 77.8410840776101
+    - type: manhattan_accuracy
+      value: 87.49369348391353
+    - type: manhattan_ap
+      value: 83.08066812574694
+    - type: manhattan_f1
+      value: 75.36561228603892
+    - type: manhattan_precision
+      value: 71.9202518363064
+    - type: manhattan_recall
+      value: 79.15768401601478
+    - type: max_accuracy
+      value: 87.53832421314084
+    - type: max_ap
+      value: 83.11416594316626
+    - type: max_f1
+      value: 75.41118114347518
 ---
+