---
tags:
- mteb
model-index:
- name: cde-small-v1
  results:
  - dataset:
      config: en
      name: MTEB AmazonCounterfactualClassification (en)
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
      split: test
      type: mteb/amazon_counterfactual
    metrics:
    - type: accuracy
      value: 87.02985074626866
    - type: ap
      value: 56.706190238632956
    - type: ap_weighted
      value: 56.706190238632956
    - type: f1
      value: 81.93161953007674
    - type: f1_weighted
      value: 87.7650174177188
    - type: main_score
      value: 87.02985074626866
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB AmazonPolarityClassification (default)
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
      split: test
      type: mteb/amazon_polarity
    metrics:
    - type: accuracy
      value: 94.664175
    - type: ap
      value: 91.68668057762052
    - type: ap_weighted
      value: 91.68668057762052
    - type: f1
      value: 94.65859470333152
    - type: f1_weighted
      value: 94.65859470333152
    - type: main_score
      value: 94.664175
    task:
      type: Classification
  - dataset:
      config: en
      name: MTEB AmazonReviewsClassification (en)
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
      split: test
      type: mteb/amazon_reviews_multi
    metrics:
    - type: accuracy
      value: 55.762
    - type: f1
      value: 55.06427827477677
    - type: f1_weighted
      value: 55.06427827477677
    - type: main_score
      value: 55.762
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB ArguAna (default)
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
      split: test
      type: mteb/arguana
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      value: 49.004
    - type: map_at_10
      value: 64.741
    - type: map_at_100
      value: 65.045
    - type: map_at_1000
      value: 65.048
    - type: map_at_20
      value: 64.999
    - type: map_at_3
      value: 61.344
    - type: map_at_5
      value: 63.595
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      value: 50.71123755334281
    - type: mrr_at_10
      value: 65.32688703741336
    - type: mrr_at_100
      value: 65.63793917015693
    - type: mrr_at_1000
      value: 65.64038101143724
    - type: mrr_at_20
      value: 65.59178002869953
    - type: mrr_at_3
      value: 61.960644855381695
    - type: mrr_at_5
      value: 64.12636320531058
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      value: -16.496874845739885
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      value: 12.049863016253427
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      value: -11.968579522299635
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      value: 0.7775458885343522
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      value: 9.373350504221595
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      value: -9.131259877846116
    - type: ndcg_at_1
      value: 49.004
    - type: ndcg_at_10
      value: 71.99600000000001
    - type: ndcg_at_100
      value: 73.173
    - type: ndcg_at_1000
      value: 73.214
    - type: ndcg_at_20
      value: 72.91
    - type: ndcg_at_3
      value: 65.21900000000001
    - type: ndcg_at_5
      value: 69.284
    - type: precision_at_1
      value: 49.004
    - type: precision_at_10
      value: 9.452
    - type: precision_at_100
      value: 0.9939999999999999
    - type: precision_at_1000
      value: 0.1
    - type: precision_at_20
      value: 4.904
    - type: precision_at_3
      value: 25.462
    - type: precision_at_5
      value: 17.255000000000003
    - type: recall_at_1
      value: 49.004
    - type: recall_at_10
      value: 94.523
    - type: recall_at_100
      value: 99.36
    - type: recall_at_1000
      value: 99.644
    - type: recall_at_20
      value: 98.08
    - type: recall_at_3
      value: 76.387
    - type: recall_at_5
      value: 86.273
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB ArxivClusteringP2P (default)
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
      split: test
      type: mteb/arxiv-clustering-p2p
    metrics:
    - type: main_score
      value: 48.629569816593516
    - type: v_measure
      value: 48.629569816593516
    - type: v_measure_std
      value: 14.01810149072028
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB ArxivClusteringS2S (default)
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
      split: test
      type: mteb/arxiv-clustering-s2s
    metrics:
    - type: main_score
      value: 40.52366904677561
    - type: v_measure
      value: 40.52366904677561
    - type: v_measure_std
      value: 14.375876773823757
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB AskUbuntuDupQuestions (default)
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
      split: test
      type: mteb/askubuntudupquestions-reranking
    metrics:
    - type: main_score
      value: 61.27347206107508
    - type: map
      value: 61.27347206107508
    - type: mrr
      value: 74.49105219188321
    - type: nAUC_map_diff1
      value: 13.442645655149457
    - type: nAUC_map_max
      value: 25.013363268430027
    - type: nAUC_map_std
      value: 17.60175231611674
    - type: nAUC_mrr_diff1
      value: 25.217675209249435
    - type: nAUC_mrr_max
      value: 32.37381560372622
    - type: nAUC_mrr_std
      value: 22.584922632508412
    task:
      type: Reranking
  - dataset:
      config: default
      name: MTEB BIOSSES (default)
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
      split: test
      type: mteb/biosses-sts
    metrics:
    - type: cosine_pearson
      value: 89.09452267906886
    - type: cosine_spearman
      value: 86.73450642504955
    - type: euclidean_pearson
      value: 87.1275130552617
    - type: euclidean_spearman
      value: 86.93812552248012
    - type: main_score
      value: 86.73450642504955
    - type: manhattan_pearson
      value: 86.79403606129864
    - type: manhattan_spearman
      value: 86.76824213349957
    - type: pearson
      value: 89.09452267906886
    - type: spearman
      value: 86.73450642504955
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB Banking77Classification (default)
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
      split: test
      type: mteb/banking77
    metrics:
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      value: 88.58116883116884
    - type: f1
      value: 88.54536316207125
    - type: f1_weighted
      value: 88.54536316207125
    - type: main_score
      value: 88.58116883116884
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB BiorxivClusteringP2P (default)
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
      split: test
      type: mteb/biorxiv-clustering-p2p
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      value: 44.89554099528695
    - type: v_measure
      value: 44.89554099528695
    - type: v_measure_std
      value: 0.6101675839696261
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB BiorxivClusteringS2S (default)
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
      split: test
      type: mteb/biorxiv-clustering-s2s
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    - type: v_measure
      value: 37.89775676199564
    - type: v_measure_std
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    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB CQADupstackAndroidRetrieval (default)
      revision: f46a197baaae43b4f621051089b82a364682dfeb
      split: test
      type: mteb/cqadupstack-android
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    task:
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  - dataset:
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      name: MTEB ImdbClassification (default)
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
      split: test
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    task:
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  - dataset:
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      revision: c5a29a104738b98a9e76336939199e264163d4a0
      split: dev
      type: mteb/msmarco
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    - type: recall_at_1000
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    task:
      type: Retrieval
  - dataset:
      config: en
      name: MTEB MTOPDomainClassification (en)
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
      split: test
      type: mteb/mtop_domain
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    - type: f1_weighted
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    task:
      type: Classification
  - dataset:
      config: en
      name: MTEB MTOPIntentClassification (en)
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
      split: test
      type: mteb/mtop_intent
    metrics:
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      value: 89.1655266757866
    task:
      type: Classification
  - dataset:
      config: en
      name: MTEB MassiveIntentClassification (en)
      revision: 4672e20407010da34463acc759c162ca9734bca6
      split: test
      type: mteb/amazon_massive_intent
    metrics:
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      value: 76.60390047074647
    task:
      type: Classification
  - dataset:
      config: en
      name: MTEB MassiveScenarioClassification (en)
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
      split: test
      type: mteb/amazon_massive_scenario
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    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB MedrxivClusteringP2P (default)
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
      split: test
      type: mteb/medrxiv-clustering-p2p
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      value: 37.66500681777215
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      value: 1.4953449515069268
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB MedrxivClusteringS2S (default)
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
      split: test
      type: mteb/medrxiv-clustering-s2s
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      value: 35.51021437644991
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      value: 1.3321174913629759
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB MindSmallReranking (default)
      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
      split: test
      type: mteb/mind_small
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    task:
      type: Reranking
  - dataset:
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      name: MTEB NFCorpus (default)
      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
      split: test
      type: mteb/nfcorpus
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      revision: a0d554a64d88156834ff5ae9920b964011b16384
      split: test
      type: mteb/sts12-sts
    metrics:
    - type: cosine_pearson
      value: 81.36071984442052
    - type: cosine_spearman
      value: 74.2212823495219
    - type: euclidean_pearson
      value: 78.31139429452078
    - type: euclidean_spearman
      value: 74.02790834412275
    - type: main_score
      value: 74.2212823495219
    - type: manhattan_pearson
      value: 78.26141328104697
    - type: manhattan_spearman
      value: 74.02545007676329
    - type: pearson
      value: 81.36071984442052
    - type: spearman
      value: 74.2212823495219
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB STS13 (default)
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
      split: test
      type: mteb/sts13-sts
    metrics:
    - type: cosine_pearson
      value: 85.49925337918731
    - type: cosine_spearman
      value: 86.12368715292688
    - type: euclidean_pearson
      value: 85.71147581542367
    - type: euclidean_spearman
      value: 86.64112317821541
    - type: main_score
      value: 86.12368715292688
    - type: manhattan_pearson
      value: 85.58242941611371
    - type: manhattan_spearman
      value: 86.51041533466731
    - type: pearson
      value: 85.49925337918731
    - type: spearman
      value: 86.12368715292688
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB STS14 (default)
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
      split: test
      type: mteb/sts14-sts
    metrics:
    - type: cosine_pearson
      value: 82.24735192639226
    - type: cosine_spearman
      value: 78.88155361224834
    - type: euclidean_pearson
      value: 80.52048132030517
    - type: euclidean_spearman
      value: 78.1335955670817
    - type: main_score
      value: 78.88155361224834
    - type: manhattan_pearson
      value: 80.48178866605353
    - type: manhattan_spearman
      value: 78.08994918255844
    - type: pearson
      value: 82.24735192639226
    - type: spearman
      value: 78.88155361224834
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB STS15 (default)
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
      split: test
      type: mteb/sts15-sts
    metrics:
    - type: cosine_pearson
      value: 86.27381322229758
    - type: cosine_spearman
      value: 87.5038962579188
    - type: euclidean_pearson
      value: 86.7575259976948
    - type: euclidean_spearman
      value: 87.3358778981031
    - type: main_score
      value: 87.5038962579188
    - type: manhattan_pearson
      value: 86.72177109814491
    - type: manhattan_spearman
      value: 87.30593609243358
    - type: pearson
      value: 86.27381322229758
    - type: spearman
      value: 87.5038962579188
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB STS16 (default)
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
      split: test
      type: mteb/sts16-sts
    metrics:
    - type: cosine_pearson
      value: 82.90364706517789
    - type: cosine_spearman
      value: 84.25854334490232
    - type: euclidean_pearson
      value: 83.30065780824273
    - type: euclidean_spearman
      value: 84.17467271748362
    - type: main_score
      value: 84.25854334490232
    - type: manhattan_pearson
      value: 83.21239264085494
    - type: manhattan_spearman
      value: 84.05456832118482
    - type: pearson
      value: 82.90364706517789
    - type: spearman
      value: 84.25854334490232
    task:
      type: STS
  - dataset:
      config: en-en
      name: MTEB STS17 (en-en)
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
      split: test
      type: mteb/sts17-crosslingual-sts
    metrics:
    - type: cosine_pearson
      value: 88.88258729094343
    - type: cosine_spearman
      value: 89.68436656381257
    - type: euclidean_pearson
      value: 88.23417725579127
    - type: euclidean_spearman
      value: 87.96688277361433
    - type: main_score
      value: 89.68436656381257
    - type: manhattan_pearson
      value: 88.07673471897155
    - type: manhattan_spearman
      value: 87.7976329721765
    - type: pearson
      value: 88.88258729094343
    - type: spearman
      value: 89.68436656381257
    task:
      type: STS
  - dataset:
      config: en
      name: MTEB STS22 (en)
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
      split: test
      type: mteb/sts22-crosslingual-sts
    metrics:
    - type: cosine_pearson
      value: 65.24627744968292
    - type: cosine_spearman
      value: 65.96283849168346
    - type: euclidean_pearson
      value: 66.2111925054528
    - type: euclidean_spearman
      value: 65.83563143944401
    - type: main_score
      value: 65.96283849168346
    - type: manhattan_pearson
      value: 66.25664281582083
    - type: manhattan_spearman
      value: 65.8830797513158
    - type: pearson
      value: 65.24627744968292
    - type: spearman
      value: 65.96283849168346
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB STSBenchmark (default)
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
      split: test
      type: mteb/stsbenchmark-sts
    metrics:
    - type: cosine_pearson
      value: 85.57515090752183
    - type: cosine_spearman
      value: 85.54441587714372
    - type: euclidean_pearson
      value: 85.53938106211463
    - type: euclidean_spearman
      value: 85.28473579067878
    - type: main_score
      value: 85.54441587714372
    - type: manhattan_pearson
      value: 85.51025100057596
    - type: manhattan_spearman
      value: 85.260887707662
    - type: pearson
      value: 85.57515090752183
    - type: spearman
      value: 85.54441587714372
    task:
      type: STS
  - dataset:
      config: default
      name: MTEB SciDocsRR (default)
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
      split: test
      type: mteb/scidocs-reranking
    metrics:
    - type: main_score
      value: 82.9058801876062
    - type: map
      value: 82.9058801876062
    - type: mrr
      value: 95.256220721907
    - type: nAUC_map_diff1
      value: 0.13078953297011875
    - type: nAUC_map_max
      value: 59.173980738758026
    - type: nAUC_map_std
      value: 73.35735418975649
    - type: nAUC_mrr_diff1
      value: 46.534353907114514
    - type: nAUC_mrr_max
      value: 89.56255914950661
    - type: nAUC_mrr_std
      value: 85.6716185155955
    task:
      type: Reranking
  - dataset:
      config: default
      name: MTEB SciFact (default)
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
      split: test
      type: mteb/scifact
    metrics:
    - type: main_score
      value: 71.844
    - type: map_at_1
      value: 57.278
    - type: map_at_10
      value: 67.109
    - type: map_at_100
      value: 67.66499999999999
    - type: map_at_1000
      value: 67.685
    - type: map_at_20
      value: 67.482
    - type: map_at_3
      value: 64.16199999999999
    - type: map_at_5
      value: 65.82900000000001
    - type: mrr_at_1
      value: 60.0
    - type: mrr_at_10
      value: 68.19960317460317
    - type: mrr_at_100
      value: 68.62748949394921
    - type: mrr_at_1000
      value: 68.64515905414915
    - type: mrr_at_20
      value: 68.472601010101
    - type: mrr_at_3
      value: 66.0
    - type: mrr_at_5
      value: 67.21666666666667
    - type: nauc_map_at_1000_diff1
      value: 70.04313292027558
    - type: nauc_map_at_1000_max
      value: 57.24529193476731
    - type: nauc_map_at_1000_std
      value: -4.8888921470785585
    - type: nauc_map_at_100_diff1
      value: 70.04624674117014
    - type: nauc_map_at_100_max
      value: 57.25302539508853
    - type: nauc_map_at_100_std
      value: -4.907703072069842
    - type: nauc_map_at_10_diff1
      value: 70.06943109940849
    - type: nauc_map_at_10_max
      value: 57.39452715929109
    - type: nauc_map_at_10_std
      value: -4.743417671263566
    - type: nauc_map_at_1_diff1
      value: 76.61111479875207
    - type: nauc_map_at_1_max
      value: 52.822124992902374
    - type: nauc_map_at_1_std
      value: -7.6071857283495445
    - type: nauc_map_at_20_diff1
      value: 69.95251393140202
    - type: nauc_map_at_20_max
      value: 57.328356768833146
    - type: nauc_map_at_20_std
      value: -4.871357691032887
    - type: nauc_map_at_3_diff1
      value: 69.71499509001714
    - type: nauc_map_at_3_max
      value: 53.645107897260026
    - type: nauc_map_at_3_std
      value: -7.908850295935557
    - type: nauc_map_at_5_diff1
      value: 69.7531280646943
    - type: nauc_map_at_5_max
      value: 55.71038914997073
    - type: nauc_map_at_5_std
      value: -6.7813041970848476
    - type: nauc_mrr_at_1000_diff1
      value: 69.61840192382927
    - type: nauc_mrr_at_1000_max
      value: 58.419734360225696
    - type: nauc_mrr_at_1000_std
      value: -1.8503761885586425
    - type: nauc_mrr_at_100_diff1
      value: 69.6153571701724
    - type: nauc_mrr_at_100_max
      value: 58.422378816414565
    - type: nauc_mrr_at_100_std
      value: -1.8731915889302972
    - type: nauc_mrr_at_10_diff1
      value: 69.5874772943516
    - type: nauc_mrr_at_10_max
      value: 58.78121978366665
    - type: nauc_mrr_at_10_std
      value: -1.2843146465927913
    - type: nauc_mrr_at_1_diff1
      value: 74.35688136934793
    - type: nauc_mrr_at_1_max
      value: 57.487384980706416
    - type: nauc_mrr_at_1_std
      value: -1.3005837538340144
    - type: nauc_mrr_at_20_diff1
      value: 69.53988639045606
    - type: nauc_mrr_at_20_max
      value: 58.49631860342686
    - type: nauc_mrr_at_20_std
      value: -1.7220227513588833
    - type: nauc_mrr_at_3_diff1
      value: 68.94320178615871
    - type: nauc_mrr_at_3_max
      value: 56.60856449749424
    - type: nauc_mrr_at_3_std
      value: -3.3432894595086866
    - type: nauc_mrr_at_5_diff1
      value: 68.94240340867633
    - type: nauc_mrr_at_5_max
      value: 58.27068018852665
    - type: nauc_mrr_at_5_std
      value: -2.320192066949136
    - type: nauc_ndcg_at_1000_diff1
      value: 69.15093538086137
    - type: nauc_ndcg_at_1000_max
      value: 58.6801221127507
    - type: nauc_ndcg_at_1000_std
      value: -3.002038837722594
    - type: nauc_ndcg_at_100_diff1
      value: 69.11507044508373
    - type: nauc_ndcg_at_100_max
      value: 58.843490113137605
    - type: nauc_ndcg_at_100_std
      value: -3.2810475322338566
    - type: nauc_ndcg_at_10_diff1
      value: 68.71920945656667
    - type: nauc_ndcg_at_10_max
      value: 60.13600198034469
    - type: nauc_ndcg_at_10_std
      value: -1.6190106644777749
    - type: nauc_ndcg_at_1_diff1
      value: 74.35688136934793
    - type: nauc_ndcg_at_1_max
      value: 57.487384980706416
    - type: nauc_ndcg_at_1_std
      value: -1.3005837538340144
    - type: nauc_ndcg_at_20_diff1
      value: 68.33714726670162
    - type: nauc_ndcg_at_20_max
      value: 59.45907982196103
    - type: nauc_ndcg_at_20_std
      value: -2.5953063304797754
    - type: nauc_ndcg_at_3_diff1
      value: 67.33605891922716
    - type: nauc_ndcg_at_3_max
      value: 55.01142849375101
    - type: nauc_ndcg_at_3_std
      value: -6.5632981093508205
    - type: nauc_ndcg_at_5_diff1
      value: 67.59450950578172
    - type: nauc_ndcg_at_5_max
      value: 57.50106057747294
    - type: nauc_ndcg_at_5_std
      value: -5.415038422866616
    - type: nauc_precision_at_1000_diff1
      value: -33.21156082089814
    - type: nauc_precision_at_1000_max
      value: 19.132732038554398
    - type: nauc_precision_at_1000_std
      value: 44.091281225705714
    - type: nauc_precision_at_100_diff1
      value: -20.015823755259245
    - type: nauc_precision_at_100_max
      value: 26.507243354636085
    - type: nauc_precision_at_100_std
      value: 37.87274756817076
    - type: nauc_precision_at_10_diff1
      value: 8.35057694800983
    - type: nauc_precision_at_10_max
      value: 49.60611953844157
    - type: nauc_precision_at_10_std
      value: 32.18410475820039
    - type: nauc_precision_at_1_diff1
      value: 74.35688136934793
    - type: nauc_precision_at_1_max
      value: 57.487384980706416
    - type: nauc_precision_at_1_std
      value: -1.3005837538340144
    - type: nauc_precision_at_20_diff1
      value: -3.0872665961524612
    - type: nauc_precision_at_20_max
      value: 40.5565038905005
    - type: nauc_precision_at_20_std
      value: 32.15291813716766
    - type: nauc_precision_at_3_diff1
      value: 34.627722605371545
    - type: nauc_precision_at_3_max
      value: 49.65219072739979
    - type: nauc_precision_at_3_std
      value: 7.7588985130719434
    - type: nauc_precision_at_5_diff1
      value: 22.06911561993657
    - type: nauc_precision_at_5_max
      value: 49.09578970278826
    - type: nauc_precision_at_5_std
      value: 16.038789872070705
    - type: nauc_recall_at_1000_diff1
      value: .nan
    - type: nauc_recall_at_1000_max
      value: .nan
    - type: nauc_recall_at_1000_std
      value: .nan
    - type: nauc_recall_at_100_diff1
      value: 64.77257569694551
    - type: nauc_recall_at_100_max
      value: 65.07269574496497
    - type: nauc_recall_at_100_std
      value: -10.979947534569218
    - type: nauc_recall_at_10_diff1
      value: 62.14297161941494
    - type: nauc_recall_at_10_max
      value: 70.41353364022896
    - type: nauc_recall_at_10_std
      value: 9.172932719542075
    - type: nauc_recall_at_1_diff1
      value: 76.61111479875207
    - type: nauc_recall_at_1_max
      value: 52.822124992902374
    - type: nauc_recall_at_1_std
      value: -7.6071857283495445
    - type: nauc_recall_at_20_diff1
      value: 57.631464811333224
    - type: nauc_recall_at_20_max
      value: 67.83558221740536
    - type: nauc_recall_at_20_std
      value: 3.110691973832695
    - type: nauc_recall_at_3_diff1
      value: 60.39078444139112
    - type: nauc_recall_at_3_max
      value: 51.122425596651574
    - type: nauc_recall_at_3_std
      value: -10.307895490015559
    - type: nauc_recall_at_5_diff1
      value: 59.703727953513145
    - type: nauc_recall_at_5_max
      value: 59.81893786534298
    - type: nauc_recall_at_5_std
      value: -6.231017907901268
    - type: ndcg_at_1
      value: 60.0
    - type: ndcg_at_10
      value: 71.844
    - type: ndcg_at_100
      value: 74.278
    - type: ndcg_at_1000
      value: 74.74199999999999
    - type: ndcg_at_20
      value: 72.99
    - type: ndcg_at_3
      value: 66.721
    - type: ndcg_at_5
      value: 69.137
    - type: precision_at_1
      value: 60.0
    - type: precision_at_10
      value: 9.6
    - type: precision_at_100
      value: 1.093
    - type: precision_at_1000
      value: 0.11299999999999999
    - type: precision_at_20
      value: 5.067
    - type: precision_at_3
      value: 26.111
    - type: precision_at_5
      value: 17.267
    - type: recall_at_1
      value: 57.278
    - type: recall_at_10
      value: 85.344
    - type: recall_at_100
      value: 96.5
    - type: recall_at_1000
      value: 100.0
    - type: recall_at_20
      value: 89.589
    - type: recall_at_3
      value: 71.45
    - type: recall_at_5
      value: 77.361
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB SprintDuplicateQuestions (default)
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
      split: test
      type: mteb/sprintduplicatequestions-pairclassification
    metrics:
    - type: cosine_accuracy
      value: 99.8019801980198
    - type: cosine_accuracy_threshold
      value: 74.77510571479797
    - type: cosine_ap
      value: 95.30006120252773
    - type: cosine_f1
      value: 89.75265017667844
    - type: cosine_f1_threshold
      value: 72.93492555618286
    - type: cosine_precision
      value: 90.62181447502549
    - type: cosine_recall
      value: 88.9
    - type: dot_accuracy
      value: 99.74554455445545
    - type: dot_accuracy_threshold
      value: 794.2790985107422
    - type: dot_ap
      value: 93.33073289508414
    - type: dot_f1
      value: 87.11779448621553
    - type: dot_f1_threshold
      value: 793.5191631317139
    - type: dot_precision
      value: 87.33668341708542
    - type: dot_recall
      value: 86.9
    - type: euclidean_accuracy
      value: 99.7960396039604
    - type: euclidean_accuracy_threshold
      value: 238.72876167297363
    - type: euclidean_ap
      value: 95.04815354196363
    - type: euclidean_f1
      value: 89.53252032520325
    - type: euclidean_f1_threshold
      value: 241.42813682556152
    - type: euclidean_precision
      value: 91.01239669421489
    - type: euclidean_recall
      value: 88.1
    - type: main_score
      value: 95.30006120252773
    - type: manhattan_accuracy
      value: 99.7960396039604
    - type: manhattan_accuracy_threshold
      value: 5224.44953918457
    - type: manhattan_ap
      value: 95.02798265540767
    - type: manhattan_f1
      value: 89.4552723638181
    - type: manhattan_f1_threshold
      value: 5434.450531005859
    - type: manhattan_precision
      value: 89.41058941058941
    - type: manhattan_recall
      value: 89.5
    - type: max_accuracy
      value: 99.8019801980198
    - type: max_ap
      value: 95.30006120252773
    - type: max_f1
      value: 89.75265017667844
    - type: max_precision
      value: 91.01239669421489
    - type: max_recall
      value: 89.5
    - type: similarity_accuracy
      value: 99.8019801980198
    - type: similarity_accuracy_threshold
      value: 74.77510571479797
    - type: similarity_ap
      value: 95.30006120252773
    - type: similarity_f1
      value: 89.75265017667844
    - type: similarity_f1_threshold
      value: 72.93492555618286
    - type: similarity_precision
      value: 90.62181447502549
    - type: similarity_recall
      value: 88.9
    task:
      type: PairClassification
  - dataset:
      config: default
      name: MTEB StackExchangeClustering (default)
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
      split: test
      type: mteb/stackexchange-clustering
    metrics:
    - type: main_score
      value: 66.76593843797666
    - type: v_measure
      value: 66.76593843797666
    - type: v_measure_std
      value: 3.5421488096435416
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB StackExchangeClusteringP2P (default)
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
      split: test
      type: mteb/stackexchange-clustering-p2p
    metrics:
    - type: main_score
      value: 38.90007255920144
    - type: v_measure
      value: 38.90007255920144
    - type: v_measure_std
      value: 1.440894289494648
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB StackOverflowDupQuestions (default)
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
      split: test
      type: mteb/stackoverflowdupquestions-reranking
    metrics:
    - type: main_score
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    - type: ndcg_at_100
      value: 34.660000000000004
    - type: ndcg_at_1000
      value: 45.798
    - type: ndcg_at_20
      value: 24.988
    - type: ndcg_at_3
      value: 29.273
    - type: ndcg_at_5
      value: 25.453
    - type: precision_at_1
      value: 28.571
    - type: precision_at_10
      value: 21.02
    - type: precision_at_100
      value: 7.122000000000001
    - type: precision_at_1000
      value: 1.435
    - type: precision_at_20
      value: 16.326999999999998
    - type: precision_at_3
      value: 31.293
    - type: precision_at_5
      value: 24.898
    - type: recall_at_1
      value: 2.355
    - type: recall_at_10
      value: 15.397
    - type: recall_at_100
      value: 43.647000000000006
    - type: recall_at_1000
      value: 77.089
    - type: recall_at_20
      value: 22.792
    - type: recall_at_3
      value: 6.847
    - type: recall_at_5
      value: 9.136
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB ToxicConversationsClassification (default)
      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
      split: test
      type: mteb/toxic_conversations_50k
    metrics:
    - type: accuracy
      value: 72.7734375
    - type: ap
      value: 15.655230461083708
    - type: ap_weighted
      value: 15.655230461083708
    - type: f1
      value: 56.31497978454638
    - type: f1_weighted
      value: 78.70509613747345
    - type: main_score
      value: 72.7734375
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB TweetSentimentExtractionClassification (default)
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
      split: test
      type: mteb/tweet_sentiment_extraction
    metrics:
    - type: accuracy
      value: 72.56366723259762
    - type: f1
      value: 72.90413275122202
    - type: f1_weighted
      value: 72.19948169084057
    - type: main_score
      value: 72.56366723259762
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB TwentyNewsgroupsClustering (default)
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
      split: test
      type: mteb/twentynewsgroups-clustering
    metrics:
    - type: main_score
      value: 56.90970017457857
    - type: v_measure
      value: 56.90970017457857
    - type: v_measure_std
      value: 1.5885885070403738
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB TwitterSemEval2015 (default)
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
      split: test
      type: mteb/twittersemeval2015-pairclassification
    metrics:
    - type: cosine_accuracy
      value: 85.7006616200751
    - type: cosine_accuracy_threshold
      value: 75.78572630882263
    - type: cosine_ap
      value: 72.87577990245127
    - type: cosine_f1
      value: 67.36422521175885
    - type: cosine_f1_threshold
      value: 70.15678882598877
    - type: cosine_precision
      value: 63.80368098159509
    - type: cosine_recall
      value: 71.34564643799473
    - type: dot_accuracy
      value: 83.60851165285807
    - type: dot_accuracy_threshold
      value: 744.7918891906738
    - type: dot_ap
      value: 64.82619159813649
    - type: dot_f1
      value: 62.62379263968699
    - type: dot_f1_threshold
      value: 696.7735290527344
    - type: dot_precision
      value: 58.350421508316245
    - type: dot_recall
      value: 67.57255936675462
    - type: euclidean_accuracy
      value: 85.84371460928652
    - type: euclidean_accuracy_threshold
      value: 220.4747200012207
    - type: euclidean_ap
      value: 72.47837433257799
    - type: euclidean_f1
      value: 67.2811059907834
    - type: euclidean_f1_threshold
      value: 240.81902503967285
    - type: euclidean_precision
      value: 65.34062655395326
    - type: euclidean_recall
      value: 69.34036939313984
    - type: main_score
      value: 72.87577990245127
    - type: manhattan_accuracy
      value: 85.83179352685224
    - type: manhattan_accuracy_threshold
      value: 4910.404205322266
    - type: manhattan_ap
      value: 72.44111617709422
    - type: manhattan_f1
      value: 67.09989806320081
    - type: manhattan_f1_threshold
      value: 5333.793640136719
    - type: manhattan_precision
      value: 64.88417939871857
    - type: manhattan_recall
      value: 69.47229551451187
    - type: max_accuracy
      value: 85.84371460928652
    - type: max_ap
      value: 72.87577990245127
    - type: max_f1
      value: 67.36422521175885
    - type: max_precision
      value: 65.34062655395326
    - type: max_recall
      value: 71.34564643799473
    - type: similarity_accuracy
      value: 85.7006616200751
    - type: similarity_accuracy_threshold
      value: 75.78572630882263
    - type: similarity_ap
      value: 72.87577990245127
    - type: similarity_f1
      value: 67.36422521175885
    - type: similarity_f1_threshold
      value: 70.15678882598877
    - type: similarity_precision
      value: 63.80368098159509
    - type: similarity_recall
      value: 71.34564643799473
    task:
      type: PairClassification
  - dataset:
      config: default
      name: MTEB TwitterURLCorpus (default)
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
      split: test
      type: mteb/twitterurlcorpus-pairclassification
    metrics:
    - type: cosine_accuracy
      value: 88.88112702293631
    - type: cosine_accuracy_threshold
      value: 71.48405313491821
    - type: cosine_ap
      value: 85.88088882163336
    - type: cosine_f1
      value: 78.2251744598276
    - type: cosine_f1_threshold
      value: 70.09605169296265
    - type: cosine_precision
      value: 75.8997755087262
    - type: cosine_recall
      value: 80.69756698490914
    - type: dot_accuracy
      value: 88.04672643303451
    - type: dot_accuracy_threshold
      value: 700.6264686584473
    - type: dot_ap
      value: 83.52072844458456
    - type: dot_f1
      value: 76.24239256244634
    - type: dot_f1_threshold
      value: 664.9115562438965
    - type: dot_precision
      value: 74.0123233055455
    - type: dot_recall
      value: 78.61102556205728
    - type: euclidean_accuracy
      value: 88.72588970388482
    - type: euclidean_accuracy_threshold
      value: 226.53303146362305
    - type: euclidean_ap
      value: 85.51788295919707
    - type: euclidean_f1
      value: 77.73453426739316
    - type: euclidean_f1_threshold
      value: 238.7503147125244
    - type: euclidean_precision
      value: 74.94818097348296
    - type: euclidean_recall
      value: 80.73606405913151
    - type: main_score
      value: 85.88088882163336
    - type: manhattan_accuracy
      value: 88.68902084061008
    - type: manhattan_accuracy_threshold
      value: 5034.079742431641
    - type: manhattan_ap
      value: 85.49952903626239
    - type: manhattan_f1
      value: 77.74326743888625
    - type: manhattan_f1_threshold
      value: 5334.531021118164
    - type: manhattan_precision
      value: 73.98289171708741
    - type: manhattan_recall
      value: 81.90637511549123
    - type: max_accuracy
      value: 88.88112702293631
    - type: max_ap
      value: 85.88088882163336
    - type: max_f1
      value: 78.2251744598276
    - type: max_precision
      value: 75.8997755087262
    - type: max_recall
      value: 81.90637511549123
    - type: similarity_accuracy
      value: 88.88112702293631
    - type: similarity_accuracy_threshold
      value: 71.48405313491821
    - type: similarity_ap
      value: 85.88088882163336
    - type: similarity_f1
      value: 78.2251744598276
    - type: similarity_f1_threshold
      value: 70.09605169296265
    - type: similarity_precision
      value: 75.8997755087262
    - type: similarity_recall
      value: 80.69756698490914
    task:
      type: PairClassification
---
# Contextual Document Embeddings (CDE)

Our new model that naturally integrates "context tokens" into the embedding process. More information coming soon!