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
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+ - type: map_at_1000
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+ - type: map_at_3
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+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_5
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+ - type: precision_at_10
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: precision_at_3
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+ - type: precision_at_5
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+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
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+ - 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
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+ - type: map_at_3
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+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_3
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+ - type: precision_at_1
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+ - type: precision_at_10
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: precision_at_3
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+ - type: precision_at_5
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+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
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+ - 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
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+ - type: map_at_3
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+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_3
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+ - type: ndcg_at_5
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+ - type: precision_at_1
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+ - 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
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+ - type: recall_at_1
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+ - type: recall_at_10
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+ - type: recall_at_100
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+ - 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
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+ - type: map_at_5
+ value: 28.711
+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_3
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+ - type: ndcg_at_5
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+ - type: precision_at_1
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+ - type: precision_at_10
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: precision_at_3
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+ - type: precision_at_5
+ value: 10.435
+ - type: recall_at_1
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+ - 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
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+ - type: map_at_5
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+ - type: mrr_at_1
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+ - type: mrr_at_10
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+ - type: mrr_at_100
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+ - type: mrr_at_1000
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+ - type: mrr_at_3
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+ - type: mrr_at_5
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+ - type: ndcg_at_1
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+ - type: ndcg_at_10
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+ - type: ndcg_at_100
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+ - type: ndcg_at_1000
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+ - type: ndcg_at_3
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+ - type: ndcg_at_5
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+ - type: precision_at_1
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+ - type: precision_at_10
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+ - type: precision_at_100
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+ - type: precision_at_1000
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+ - type: precision_at_3
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+ - type: precision_at_5
+ value: 6.617000000000001
+ - type: recall_at_1
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+ - type: recall_at_10
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+ - 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
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+ - 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
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+ - type: ndcg_at_10
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+ - 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
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+ - 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
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+ - 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
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+ - 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
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+ - 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
 ---
+